diff --git a/.agents/skills/openspp-ui/SKILL.md b/.agents/skills/openspp-ui/SKILL.md new file mode 100644 index 00000000..f765fbf8 --- /dev/null +++ b/.agents/skills/openspp-ui/SKILL.md @@ -0,0 +1,114 @@ +--- +name: openspp-ui +description: + OpenSPP UI design patterns for Odoo 19 views. Use when creating or modifying forms, lists, kanban, dashboards, or + search views in spp_* modules. +--- + +# OpenSPP UI Design + +Enforce consistent UI for OpenSPP's social protection platform on Odoo 19. + +## Design Personality + +OpenSPP serves **government agencies and NGOs**. The UI must convey: + +- **Trust** - Government-grade reliability, no flashy effects +- **Clarity** - Dense but organized, scannable information +- **Accessibility** - Works for field officers on varying devices +- **Efficiency** - Power users need speed, not hand-holding + +## Before Creating a View + +**Ask: What's the user's task?** + +| Task Type | Layout | Key Features | +| --------------- | ---------------------- | ----------------------------------- | +| Data Entry | Multi-column, editable | Inline lists, minimal readonly | +| Review/Approval | Status prominent | Ribbons, history tab, readonly feel | +| Dashboard | KPI cards | Clickable stats, visual counts | +| Configuration | Grouped settings | Heavy help text, toggles | + +## State & Color Vocabulary + +Use consistently across all modules: + +| State | List Decoration | Badge Class | Icon | +| --------- | -------------------- | ------------------- | ------------ | +| Draft | `decoration-muted` | `text-bg-secondary` | `fa-pencil` | +| Pending | `decoration-warning` | `text-bg-warning` | `fa-clock-o` | +| Approved | `decoration-success` | `text-bg-success` | `fa-check` | +| Rejected | `decoration-danger` | `text-bg-danger` | `fa-times` | +| Cancelled | `decoration-muted` | `text-bg-secondary` | `fa-ban` | + +## Standard Form Structure + +```xml +
+
+
+ + +
+
+

+
+ + ... + ... + + + ... + + + + +``` + +**Key rules:** + +- Header: only buttons + statusbar +- Sheet: ribbon → button_box → title → groups → notebook +- Always name your groups for extensibility + +## Anti-Patterns + +### Odoo 19 Gotchas + +```xml + + + + + +``` + +```python +# WRONG: Tuple syntax +partner.write({'child_ids': [(0, 0, {'name': 'New'})]}) + +# RIGHT: Command API +from odoo import Command +partner.write({'child_ids': [Command.create({'name': 'New'})]}) +``` + +### OpenSPP Mistakes + +- Editable fields in `
` → use tabs +- Positional XPath `//page[1]` → use named elements +- Forms without named groups → breaks inheritance + +## Detailed Patterns + +For comprehensive guidelines, see [UI Design Principles](docs/principles/ui-design.md): + +- Multi-column layouts +- Extension points and XPath targets +- Widget selection guide +- Dashboard KPI patterns +- Search and list view patterns diff --git a/AGENTS.md b/AGENTS.md new file mode 100644 index 00000000..a275bfa1 --- /dev/null +++ b/AGENTS.md @@ -0,0 +1,250 @@ +# OpenSPP Development Guidelines + +Social protection platform built on Odoo 19. ~90 modules (`spp_*`). + +## Principles (MUST read before changes) + +All principles are in `docs/principles/`: + +- [naming-conventions.md](docs/principles/naming-conventions.md) - Module, model, field, security group naming +- [access-rights.md](docs/principles/access-rights.md) - Three-tier security architecture +- [module-architecture.md](docs/principles/module-architecture.md) - Module organization and extension patterns +- [module-visibility.md](docs/principles/module-visibility.md) - application, auto_install, and category settings +- [api-design.md](docs/principles/api-design.md) - External identifiers, never expose DB IDs +- [performance-scalability.md](docs/principles/performance-scalability.md) - Batch processing with queue_job +- [testing.md](docs/principles/testing.md) - Coverage targets (85%+ for core) +- [approval-workflows.md](docs/principles/approval-workflows.md) - State machines and mixins +- [error-handling.md](docs/principles/error-handling.md) - Exceptions, logging, no PII in logs +- [audit-compliance.md](docs/principles/audit-compliance.md) - Audit trails, data integrity +- [ui-design.md](docs/principles/ui-design.md) - Form layouts, tabs, multi-column patterns +- [pretty-urls.md](docs/principles/pretty-urls.md) - User-friendly URL paths for actions +- [odoo19-compatibility.md](docs/principles/odoo19-compatibility.md) - Odoo 19 gotchas (constraints, views, Command API) +- [consent-data-sharing.md](docs/principles/consent-data-sharing.md) - Consent management, notice boundaries, data + sharing +- [module-descriptions.md](docs/principles/module-descriptions.md) - Writing readme/DESCRIPTION.md files for modules + +## Architecture + +- [ADRs](docs/architecture/decisions/) - Architecture Decision Records + +### Layered Architecture (Dependencies flow downward) + +``` +Layer 3: COUNTRY/DOMAIN EXTENSIONS (spp_4ps_*, spp_farmer_*) + ↓ +Layer 2: CAPABILITIES (spp_programs, spp_entitlement_*, spp_change_request_v2) + ↓ +Layer 1: FOUNDATION (spp_registry, spp_security, spp_area) +``` + +### Extension Patterns + +- **Inherit and Extend**: `_inherit = "res.partner"` + add fields +- **Hook Methods**: `_pre_enrollment_hook()`, `_post_enrollment_hook()` +- **Never expose DB IDs** in APIs - use `spp.reg.id` external identifiers + +## Quick Checklist + +When auditing or modifying a module: + +- [ ] Naming follows `spp_*` / `spp.*` conventions +- [ ] `application` and `auto_install` set correctly per [module-visibility](docs/principles/module-visibility.md) +- [ ] `ir.model.access.csv` exists and complete +- [ ] No `print()` - use `_logger` +- [ ] No bare `except:` clauses +- [ ] No `cr.commit()` in loops - use `queue_job` +- [ ] No PII in log messages +- [ ] Tests exist for core functionality + +## Bug Fixing Approach + +When fixing issues: first write a failing test that reproduces the bug, then fix it. Fix problems at the source (e.g., +correct XML/ACL definitions) rather than working around them in tests or code. If a root fix isn't possible, document +why and propose alternatives. + +## Known Pitfalls (from recurring issues) + +### Access Rights (Most Common Error) + +- **Always check `ir.model.access.csv`** before declaring a module complete +- When tests fail with `AccessError`, fix the ACL, don't bypass with `sudo()` +- Tests must run with appropriate user context (officer, manager), not just admin +- After security changes, **always re-run affected tests** - they often break +- Related models need ACLs too (e.g., if `spp.program` has ACL, `spp.program.membership` likely needs one) + +### Demo Data + +- Demo data must create **complete, consistent records** - check all required relations +- Approval states must match approval records (e.g., `approval_state='pending'` requires pending review records) +- Use `with_context(tracking_disable=True)` when creating demo data to avoid sending notifications +- Test demo data generation with dedicated tests that verify all expected records exist + +### Views and XML + +- XPath must use `hasclass('classname')` not `@class='classname'` (Odoo 19) +- Always use `Command.create()` not `(0, 0, {...})` tuples for relational writes +- When updating views, verify the correct view is being displayed (not cached old version) +- Search views: check `` and `` syntax against Odoo 19 docs + +### Tests + +- **NEVER remove or weaken existing tests** without explicit approval +- After subagent implementations, verify: "Can you confirm no tests were removed or weakened?" +- When fixing security, tests often need user context updates - fix tests, don't skip them +- If tests cannot run due to install issues, fix the install, don't mark tests as skipped + +### State Machines and Approvals + +- `spp.approval.mixin` records must have consistent state: + - `approval_state='pending'` → must have pending `spp.approval.review` records + - `approval_state='approved'` → all reviews must be approved +- When creating test data for approval flows, create the full approval chain + +### Self-Improvement + +- After every correction or mistake, propose an update to this Known Pitfalls section +- After every PR, consider whether patterns or pitfalls were discovered that should be documented here + +## Running OpenSPP Locally + +**Quick Start** (Docker Compose with UI): + +```bash +# Launch Odoo UI for development +docker compose --profile ui up -d + +# Access at: http://localhost:8069 (admin/admin) + +# Stop when done +docker compose --profile ui down +``` + +**With specific demo modules:** + +```bash +# MIS Demo (full demo) +ODOO_INIT_MODULES=spp_mis_demo_v2 docker compose --profile ui up -d + +# DRIMS Demo +ODOO_INIT_MODULES=spp_drims_sl_demo docker compose --profile ui up -d + +# Base modules only +ODOO_INIT_MODULES=spp_base docker compose --profile ui up -d +``` + +**Clean restart:** + +```bash +# Stop and remove volumes (fresh database) +docker compose --profile ui down -v +``` + +## Running Tests + +**Recommended** (using the `spp` CLI, Docker-based, isolated): + +```bash +./spp test +# or short form: +./spp t +``` + +This creates an isolated test environment and cleans up automatically. Supports parallel runs across multiple clones. + +**Alternative** (direct script): + +```bash +./scripts/test_single_module.sh +``` + +## Linting and Compliance + +**Using `spp` CLI** (preferred): + +```bash +./spp lint # Lint changed files +``` + +**Pre-commit hooks** (run automatically, or manually): + +```bash +pre-commit run ruff --files +pre-commit run ruff-format --files +pre-commit run prettier --files +``` + +**Security/Access Rights Audit**: + +```bash +./.Codex/scripts/audit-security.sh # Audit all modules +./.Codex/scripts/audit-security.sh spp_api # Audit single module +./.Codex/scripts/fix-security.sh spp_api # Auto-fix security issues (review changes!) +./.Codex/scripts/fix-security.sh --mechanical-only spp_api # Only mechanical fixes (no AI) +``` + +**Module Audit** (requires cursor-agent): + +```bash +./.Codex/scripts/audit-modules.sh # Check module structure and compliance +./.Codex/scripts/audit-modules.sh spp_api # Audit single module +./.Codex/scripts/audit-modules.sh --fix # Auto-fix simple issues +``` + +**Lint Fixes**: + +```bash +./.Codex/scripts/fix-lint.sh spp_api # Run linters + AI-assisted fixes +./.Codex/scripts/fix-lint.sh --lint-only spp_api # Run linters only, no AI +``` + +When linters suggest fixes, verify the suggestion is correct before applying. Some automated fixes may: + +- Use wrong syntax for Odoo 19 +- Remove intentional patterns +- Break existing functionality + +## Verification Workflow + +Before marking any task complete: + +1. **Run tests**: `./spp t ` +2. **Run linters**: `pre-commit run --files ` +3. **Run security audit** (if security changed): `./.Codex/scripts/audit-security.sh ` +4. **Verify no tests were removed**: `/verify-tests` or compare test count before/after +5. **Check demo data** (if modified): Verify records are created correctly +6. **Test in UI** (for UX changes): Confirm the correct view is displayed + +## Custom Commands + +Available slash commands in `.Codex/commands/`: + +| Command | Purpose | +| ---------------- | -------------------------------------------------------------- | +| `/commit` | Create conventional commit (feat/fix/chore/docs/refactor/test) | +| `/implement` | Full TDD workflow with subagents and expert review | +| `/expert-review` | Parallel code review from multiple perspectives | +| `/pr` | Create GitHub PR with OpenProject linking | +| `/op-task` | Implement OpenProject task end-to-end | +| `/verify-tests` | Check test integrity after changes (catch removed tests) | +| `/analyze` | Deep analysis mode - understand before implementing | + +### When to Use Each + +- **Starting work**: Enter Plan mode (shift+tab twice) for brainstorming +- **Implementing**: `/implement` for full TDD workflow +- **After subagent work**: `/verify-tests` to catch removed tests +- **Debugging**: `/analyze` for structured error/code analysis +- **Before commit**: `/commit` for conventional commit format +- **Creating PR**: `/pr` with OpenProject linking + +## Subagents + +Available agents in `.Codex/agents/`: + +| Agent | Model | Use For | +| ------------------ | ------ | -------------------------------------- | +| `@odoo-developer` | sonnet | Core implementation work | +| `@code-reviewer` | opus | Security, naming, Odoo 19 compliance | +| `@ux-expert` | opus | UI/UX patterns and form layouts | +| `@code-simplifier` | sonnet | Reduce complexity, improve readability | +| `@verify-module` | sonnet | Test module installation and tests | diff --git a/docker-compose.yml b/docker-compose.yml index 42a8dd7c..0757b90a 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -5,7 +5,7 @@ # Services: # db - PostgreSQL database (shared by all) # openspp - Web server for UI/E2E (fixed port 8069) -# openspp-dev - Dev server (dynamic port) +# openspp-dev - Dev server (stable port per worktree via spp CLI) # test - Unit test runner # e2e-runner - Playwright E2E runner # prism - PRISM frontend on port 3000 (optional) @@ -14,15 +14,15 @@ # Building any of them updates the shared image. # # Profiles: -# dev - Development with dynamic port (avoids port conflicts) +# dev - Development with stable port per worktree (set ODOO_HOST_PORT or use spp CLI) # ui - Launch web interface on fixed port 8069 # e2e - Full E2E testing environment with Playwright # prism - PRISM frontend (WFP crisis data visualization) # # Usage: -# # Launch for development (dynamic port - check output for assigned port) -# docker compose --profile dev up -d -# docker compose --profile dev ps # Shows assigned port +# # Launch for development (spp CLI assigns stable port automatically) +# ./spp start +# # Or manually: ODOO_HOST_PORT=18042 docker compose --profile dev up -d # # # Launch UI on fixed port 8069 # docker compose --profile ui up -d @@ -155,7 +155,7 @@ services: # Disable proxy mode for local PROXY_MODE: "False" ports: - - "8069" # Dynamic host port - check with `docker compose ps` + - "${ODOO_HOST_PORT:-0}:8069" # Stable port via spp CLI, or random if unset volumes: - .:/mnt/extra-addons/openspp:ro,z - odoo_data:/var/lib/odoo @@ -168,6 +168,37 @@ services: networks: - openspp + # Queue Worker - Background job processing (job_worker) + # Processes async jobs enqueued via with_delay(). + # Runs in dev and ui profiles alongside the Odoo server. + queue-worker: + image: openspp-dev + build: + context: . + dockerfile: docker/Dockerfile + target: dev + profiles: + - dev + - ui + depends_on: + db: + condition: service_healthy + environment: + DB_HOST: db + DB_PORT: "5432" + DB_USER: odoo + DB_PASSWORD: odoo + DB_NAME: ${ODOO_DB_NAME:-openspp} + ODOO_ADMIN_PASSWD: admin + LOG_LEVEL: info + command: ["python", "/mnt/extra-addons/odoo-job-worker/job_worker_runner.py", "-c", "/etc/odoo/odoo.conf"] + volumes: + - .:/mnt/extra-addons/openspp:ro,z + - odoo_data:/var/lib/odoo + restart: unless-stopped + networks: + - openspp + # Unit Test Runner - one-off container for running module tests # Usage: docker compose run --rm test [options] # Note: Uses same image as odoo/odoo-dev - build any of them to update diff --git a/scripts/prepare_phl_geodata.py b/scripts/prepare_phl_geodata.py new file mode 100755 index 00000000..2eade7c6 --- /dev/null +++ b/scripts/prepare_phl_geodata.py @@ -0,0 +1,708 @@ +#!/usr/bin/env python3 +"""Prepare Philippine geodata from HDX COD-AB for OpenSPP demo modules. + +Downloads administrative boundary shapefiles and population projection data from +the Humanitarian Data Exchange (HDX), processes them, and generates static data +files for the spp_demo and spp_demo_phl_luzon modules. + +Data Sources: + - COD-AB: https://data.humdata.org/dataset/cod-ab-phl (CC BY-IGO) + - Population: https://data.humdata.org/dataset/a8fa512a-0a12-4753-ba46-b722eaac6d66 + +Outputs: + Base tier (spp_demo/data/): + - countries/phl/areas.xml: NCR + CALABARZON areas (regions, provinces, municipalities) + - shapes/phl_curated.geojson: Simplified polygons for base areas + + Luzon tier (spp_demo_phl_luzon/data/): + - areas_luzon.xml: All Luzon areas (8 regions, ~35 provinces, ~700 municipalities) + - shapes/phl_luzon.geojson: Simplified polygons for all Luzon areas + - population_weights.csv: Municipality-level population for weighted distribution + +Usage: + # Requires: geopandas, shapely, requests + uv run --with geopandas --with requests scripts/prepare_phl_geodata.py + + # Custom simplification tolerance (default: 0.005 degrees, ~500m) + uv run --with geopandas --with requests scripts/prepare_phl_geodata.py --simplify-tolerance 0.003 + + # Force re-download (ignore cache) + uv run --with geopandas --with requests scripts/prepare_phl_geodata.py --no-cache + +Attribution (CC BY-IGO): + Administrative boundaries: OCHA, PSA, NAMRIA + Population data: PSA via HDX +""" + +import argparse +import io +import json +import logging +import os +import sys +import zipfile +from pathlib import Path +from xml.etree.ElementTree import Element, SubElement, indent, tostring + +import geopandas as gpd +import requests +from shapely.validation import make_valid + +logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s") +_logger = logging.getLogger(__name__) + +# HDX download URLs +COD_AB_URL = ( + "https://data.humdata.org/dataset/caf116df-f984-4deb-85ca-41b349d3f313" + "/resource/12457689-6a86-4474-8032-5ca9464d38a8/download" + "/phl_adm_psa_namria_20231106_shp.zip" +) + +# Population projection dataset (admin 3) +# This dataset may have multiple resources; we look for the CSV +POP_DATASET_URL = ( + "https://data.humdata.org/dataset/a8fa512a-0a12-4753-ba46-b722eaac6d66" +) + +CACHE_DIR = Path(os.environ.get("XDG_CACHE_HOME", Path.home() / ".cache")) / "openspp" / "geodata" + +# HDX COD-AB region codes for Luzon island group (short format from shapefiles) +LUZON_REGION_CODES = { + "PH13": "NCR", + "PH14": "CAR", + "PH01": "Region I", + "PH02": "Region II", + "PH03": "Region III", + "PH04": "CALABARZON", + "PH17": "MIMAROPA", + "PH05": "Region V", +} + +# Base tier: NCR + CALABARZON only (matches current curated set) +BASE_REGION_CODES = {"PH13", "PH04"} + +# Shapefile name patterns inside the zip (without extensions) +SHP_PATTERNS = { + 1: "phl_admbnda_adm1_psa_namria_", + 2: "phl_admbnda_adm2_psa_namria_", + 3: "phl_admbnda_adm3_psa_namria_", +} + +# Area type XML IDs (from spp_demo/data/countries/phl/area_kinds.xml) +AREA_TYPE_REFS = { + 1: "spp_demo.area_kind_phl_region", + 2: "spp_demo.area_kind_phl_province", + 3: "spp_demo.area_kind_phl_municipality", +} + + +def download_with_cache(url, filename, cache_dir, no_cache=False): + """Download a file, caching it locally. + + Args: + url: URL to download + filename: Local filename for cache + cache_dir: Cache directory path + no_cache: If True, skip cache and re-download + + Returns: + Path to cached file + """ + cache_dir.mkdir(parents=True, exist_ok=True) + cached_path = cache_dir / filename + + if cached_path.exists() and not no_cache: + _logger.info("Using cached %s", cached_path) + return cached_path + + _logger.info("Downloading %s ...", filename) + _logger.info(" URL: %s", url) + resp = requests.get(url, stream=True, timeout=300) + resp.raise_for_status() + + total = int(resp.headers.get("content-length", 0)) + downloaded = 0 + with open(cached_path, "wb") as f: + for chunk in resp.iter_content(chunk_size=1024 * 1024): + f.write(chunk) + downloaded += len(chunk) + if total: + pct = downloaded * 100 // total + print(f"\r Progress: {pct}% ({downloaded // (1024*1024)}MB / {total // (1024*1024)}MB)", end="") + print() + _logger.info("Saved to %s", cached_path) + return cached_path + + +def find_shapefile_in_zip(zip_path, pattern): + """Find a shapefile base name inside a zip by pattern. + + Shapefiles consist of multiple files (.shp, .dbf, .shx, .prj, etc.) + sharing the same base name. We find the .shp file matching the pattern. + + Args: + zip_path: Path to zip file + pattern: String pattern to match in filenames + + Returns: + Base name (without extension) of the matching shapefile, or None + """ + with zipfile.ZipFile(zip_path) as zf: + for name in zf.namelist(): + if pattern in name.lower() and name.endswith(".shp"): + return name + return None + + +def read_shapefile_from_zip(zip_path, shp_name): + """Read a shapefile from inside a zip archive using geopandas. + + Args: + zip_path: Path to the zip file + shp_name: Name of the .shp file inside the zip + + Returns: + GeoDataFrame + """ + uri = f"zip://{zip_path}!{shp_name}" + _logger.info("Reading %s", uri) + return gpd.read_file(uri) + + +def filter_luzon(gdf, level, region_codes): + """Filter a GeoDataFrame to only Luzon regions. + + Uses the ADM1_PCODE column to filter to Luzon region codes. + + Args: + gdf: GeoDataFrame with admin boundary data + level: Admin level (1, 2, or 3) + region_codes: Set of region p-codes to include + + Returns: + Filtered GeoDataFrame + """ + if level == 1: + col = "ADM1_PCODE" + else: + # Level 2 and 3 have ADM1_PCODE as a column for their parent region + col = "ADM1_PCODE" + + if col not in gdf.columns: + _logger.warning("Column %s not found in level %d data. Available: %s", col, level, list(gdf.columns)) + return gdf + + mask = gdf[col].isin(region_codes) + filtered = gdf[mask].copy() + _logger.info(" Filtered level %d: %d -> %d features (Luzon)", level, len(gdf), len(filtered)) + return filtered + + +def simplify_geometries(gdf, tolerance): + """Simplify geometries and validate results. + + Args: + gdf: GeoDataFrame + tolerance: Simplification tolerance in degrees + + Returns: + GeoDataFrame with simplified geometries + """ + _logger.info(" Simplifying with tolerance=%s ...", tolerance) + gdf = gdf.copy() + gdf["geometry"] = gdf["geometry"].simplify(tolerance, preserve_topology=True) + + # Validate and fix any invalid geometries + invalid_count = 0 + for idx in gdf.index: + geom = gdf.at[idx, "geometry"] + if geom is not None and not geom.is_valid: + gdf.at[idx, "geometry"] = make_valid(geom) + invalid_count += 1 + + if invalid_count: + _logger.info(" Fixed %d invalid geometries after simplification", invalid_count) + + return gdf + + +def get_pcode_col(level): + """Get the p-code column name for a given admin level.""" + return f"ADM{level}_PCODE" + + +def get_name_col(level): + """Get the English name column for a given admin level.""" + return f"ADM{level}_EN" + + +def build_areas_xml(regions_gdf, provinces_gdf, municipalities_gdf, module_name, xml_id_prefix): + """Generate Odoo XML data file for spp.area records. + + Args: + regions_gdf: GeoDataFrame of regions (level 1) + provinces_gdf: GeoDataFrame of provinces (level 2) + municipalities_gdf: GeoDataFrame of municipalities (level 3) + module_name: Module name for external ID references (e.g., "spp_demo_phl_luzon") + xml_id_prefix: Prefix for XML IDs (e.g., "area_luzon") + + Returns: + bytes: UTF-8 encoded XML content + """ + root = Element("odoo") + root.set("noupdate", "0") + root.text = "\n" + + # Add comment + comment_text = ( + "\n Philippine Administrative Areas (HDX COD-AB)\n" + " Source: https://data.humdata.org/dataset/cod-ab-phl\n" + " License: CC BY-IGO (OCHA, PSA, NAMRIA)\n" + " Generated by scripts/prepare_phl_geodata.py\n" + ) + from xml.etree.ElementTree import Comment + + root.append(Comment(comment_text)) + + def make_xml_id(pcode): + """Convert a p-code to a valid XML ID.""" + return f"{xml_id_prefix}_{pcode.lower()}" + + def add_area_record(parent, pcode, name, area_type_ref, parent_pcode=None): + """Add an spp.area record element.""" + record = SubElement(parent, "record") + record.set("id", make_xml_id(pcode)) + record.set("model", "spp.area") + + name_field = SubElement(record, "field") + name_field.set("name", "draft_name") + name_field.text = name + + code_field = SubElement(record, "field") + code_field.set("name", "code") + code_field.text = pcode + + type_field = SubElement(record, "field") + type_field.set("name", "area_type_id") + type_field.set("ref", area_type_ref) + + if parent_pcode: + parent_field = SubElement(record, "field") + parent_field.set("name", "parent_id") + parent_field.set("ref", make_xml_id(parent_pcode)) + + record.tail = "\n\n" + return record + + # Regions (level 1) + root.append(Comment(" Regions ")) + for _, row in regions_gdf.sort_values(get_pcode_col(1)).iterrows(): + pcode = row[get_pcode_col(1)] + name = row[get_name_col(1)] + add_area_record(root, pcode, name, AREA_TYPE_REFS[1]) + + # Provinces (level 2) + root.append(Comment(" Provinces ")) + for _, row in provinces_gdf.sort_values(get_pcode_col(2)).iterrows(): + pcode = row[get_pcode_col(2)] + name = row[get_name_col(2)] + parent_pcode = row[get_pcode_col(1)] + add_area_record(root, pcode, name, AREA_TYPE_REFS[2], parent_pcode) + + # Municipalities (level 3) + root.append(Comment(" Municipalities / Cities ")) + for _, row in municipalities_gdf.sort_values(get_pcode_col(3)).iterrows(): + pcode = row[get_pcode_col(3)] + name = row[get_name_col(3)] + parent_pcode = row[get_pcode_col(2)] + add_area_record(root, pcode, name, AREA_TYPE_REFS[3], parent_pcode) + + indent(root, space=" ") + + xml_decl = b'\n' + return xml_decl + tostring(root, encoding="utf-8") + + +def build_geojson(regions_gdf, provinces_gdf, municipalities_gdf): + """Build a GeoJSON FeatureCollection from all admin levels. + + Each feature has properties: code, name, level. + + Args: + regions_gdf: GeoDataFrame of regions + provinces_gdf: GeoDataFrame of provinces + municipalities_gdf: GeoDataFrame of municipalities + + Returns: + dict: GeoJSON FeatureCollection + """ + features = [] + + for level, gdf in [(1, regions_gdf), (2, provinces_gdf), (3, municipalities_gdf)]: + pcode_col = get_pcode_col(level) + name_col = get_name_col(level) + level_names = {1: "region", 2: "province", 3: "municipality"} + + for _, row in gdf.iterrows(): + geom = row["geometry"] + if geom is None: + continue + feature = { + "type": "Feature", + "properties": { + "code": row[pcode_col], + "name": row[name_col], + "level": level_names[level], + }, + "geometry": json.loads(gpd.GeoSeries([geom]).to_json())["features"][0]["geometry"], + } + features.append(feature) + + return { + "type": "FeatureCollection", + "name": "phl_hdx_areas", + "crs": { + "type": "name", + "properties": {"name": "urn:ogc:def:crs:OGC:1.3:CRS84"}, + }, + "features": features, + } + + +def build_population_csv(municipalities_gdf, pop_data=None): + """Build population weights CSV. + + If population data is available, merges it with municipality data. + Otherwise, creates a placeholder with equal weights. + + Args: + municipalities_gdf: GeoDataFrame of municipalities + pop_data: Optional dict of {pcode: population} + + Returns: + str: CSV content + """ + import csv + + output = io.StringIO() + writer = csv.writer(output) + writer.writerow(["pcode", "name", "province_pcode", "region_pcode", "population"]) + + pcode_col = get_pcode_col(3) + name_col = get_name_col(3) + + for _, row in municipalities_gdf.sort_values(pcode_col).iterrows(): + pcode = row[pcode_col] + name = row[name_col] + province_pcode = row[get_pcode_col(2)] + region_pcode = row[get_pcode_col(1)] + + if pop_data and pcode in pop_data: + population = pop_data[pcode] + else: + # Default weight of 10000 for municipalities without population data + population = 10000 + + writer.writerow([pcode, name, province_pcode, region_pcode, population]) + + return output.getvalue() + + +def psgc_to_shp_pcode(psgc_code): + """Convert a 10-digit PSGC code to the shorter HDX shapefile p-code format. + + PSGC format: PH + RR + PP + CC + BBB (2+2+2+3 digits = 9 digits after PH) + SHP format: PH + RR + 0PP + CC (region + zero-padded province + city) + + Examples: + PH012801000 (Adams) -> PH0102801 + PH133901000 (Manila) -> PH1303901 + PH012800000 (Ilocos Norte province) -> PH01028 + PH010000000 (Region I) -> PH01 + + Args: + psgc_code: 10-digit PSGC code like "PH012801000" + + Returns: + Short SHP-format p-code + """ + digits = psgc_code[2:] # Strip "PH" prefix + rr = digits[0:2] # Region (2 digits) + pp = digits[2:4] # Province (2 digits) + cc = digits[4:6] # City/Municipality (2 digits) + bbb = digits[6:9] # Barangay (3 digits) + + if pp == "00" and cc == "00" and bbb == "000": + # Region level + return f"PH{rr}" + elif cc == "00" and bbb == "000": + # Province level: zero-pad province to 3 digits + return f"PH{rr}0{pp}" + elif bbb == "000": + # Municipality level + return f"PH{rr}0{pp}{cc}" + else: + # Barangay level + return f"PH{rr}0{pp}{cc}{bbb}" + + +def try_download_population_data(cache_dir, no_cache=False): + """Try to download and parse population projection data from HDX. + + The population file uses 10-digit PSGC codes (e.g., PH012801000) while + the shapefiles use shorter codes (e.g., PH0102801). This function returns + data keyed by the short SHP codes for direct matching. + + This is best-effort: if the download fails or format changes, we + fall back to equal weights. + + Returns: + dict of {shp_pcode: population} or None + """ + try: + # Use the HDX CKAN API to find the download URL + api_url = "https://data.humdata.org/api/3/action/package_show?id=a8fa512a-0a12-4753-ba46-b722eaac6d66" + _logger.info("Fetching population dataset metadata...") + resp = requests.get(api_url, timeout=30) + resp.raise_for_status() + dataset = resp.json()["result"] + + # Find the Excel/CSV resource (prefer one with "adm3" in name) + download_url = None + for resource in dataset.get("resources", []): + fmt = resource.get("format", "").upper() + name = resource.get("name", "").lower() + if fmt in ("CSV", "XLSX", "XLS") and "adm3" in name: + download_url = resource["url"] + break + + if not download_url: + for resource in dataset.get("resources", []): + fmt = resource.get("format", "").upper() + if fmt in ("CSV", "XLSX", "XLS"): + download_url = resource["url"] + break + + if not download_url: + _logger.warning("No CSV/Excel resource found in population dataset") + return None + + ext = ".xlsx" if "xlsx" in download_url.lower() or "xls" in download_url.lower() else ".csv" + pop_file = download_with_cache(download_url, f"phl_population_adm3{ext}", cache_dir, no_cache) + + import pandas as pd + + if ext == ".xlsx": + df = pd.read_excel(pop_file) + else: + df = pd.read_csv(pop_file) + + _logger.info("Population data columns: %s", list(df.columns)) + + # Expected columns: Mun_Pcode (PSGC format), July2025 (or latest year) + pcode_col = None + pop_col = None + + for col in df.columns: + col_lower = col.lower() + if "mun" in col_lower and "pcode" in col_lower: + pcode_col = col + elif "adm3" in col_lower and "pcode" in col_lower: + pcode_col = col + + # Find the most recent population year column (prefer July2025, then 2024, etc.) + for year in ["2025", "2024", "2023", "2022", "2021", "2020"]: + for col in df.columns: + if year in col: + pop_col = col + break + if pop_col: + break + + if not pcode_col or not pop_col: + _logger.warning( + "Could not identify columns. pcode=%s, pop=%s. Available: %s", + pcode_col, pop_col, list(df.columns), + ) + return None + + _logger.info("Using columns: pcode=%s, population=%s", pcode_col, pop_col) + + # Build dict keyed by SHP-format p-codes + pop_data = {} + for _, row in df.iterrows(): + psgc_code = str(row[pcode_col]).strip() + try: + population = int(float(row[pop_col])) + if population > 0: + shp_code = psgc_to_shp_pcode(psgc_code) + pop_data[shp_code] = population + except (ValueError, TypeError): + continue + + _logger.info("Loaded population data for %d municipalities", len(pop_data)) + return pop_data + + except Exception as e: + _logger.warning("Failed to download population data: %s", e) + _logger.warning("Falling back to equal weights") + return None + + +def main(): + parser = argparse.ArgumentParser( + description="Prepare Philippine geodata from HDX for OpenSPP demo modules.", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=__doc__, + ) + parser.add_argument( + "--simplify-tolerance", + type=float, + default=0.005, + help="Geometry simplification tolerance in degrees (default: 0.005, ~500m)", + ) + parser.add_argument( + "--no-cache", + action="store_true", + help="Force re-download of all files", + ) + parser.add_argument( + "--luzon-only", + action="store_true", + help="Only generate Luzon tier (skip base tier)", + ) + parser.add_argument( + "--base-only", + action="store_true", + help="Only generate base tier (skip Luzon tier)", + ) + args = parser.parse_args() + + # Determine project root (script is in scripts/) + project_root = Path(__file__).parent.parent.resolve() + _logger.info("Project root: %s", project_root) + + # Step 1: Download HDX shapefile + shp_zip = download_with_cache( + COD_AB_URL, + "phl_adm_psa_namria_20231106_shp.zip", + CACHE_DIR, + args.no_cache, + ) + + # Step 2: Find shapefile names inside zip + shp_names = {} + for level, pattern in SHP_PATTERNS.items(): + shp_name = find_shapefile_in_zip(shp_zip, pattern) + if not shp_name: + _logger.error("Could not find level %d shapefile matching pattern '%s' in zip", level, pattern) + sys.exit(1) + shp_names[level] = shp_name + _logger.info("Found level %d shapefile: %s", level, shp_name) + + # Step 3: Read shapefiles + gdfs = {} + for level, shp_name in shp_names.items(): + gdfs[level] = read_shapefile_from_zip(shp_zip, shp_name) + _logger.info(" Level %d: %d features, columns: %s", level, len(gdfs[level]), list(gdfs[level].columns)) + + # Step 4: Filter and simplify for each tier + luzon_codes = set(LUZON_REGION_CODES.keys()) + + # Luzon tier + luzon_gdfs = {} + for level in [1, 2, 3]: + filtered = filter_luzon(gdfs[level], level, luzon_codes) + luzon_gdfs[level] = simplify_geometries(filtered, args.simplify_tolerance) + + # Base tier (NCR + CALABARZON) + base_gdfs = {} + for level in [1, 2, 3]: + filtered = filter_luzon(gdfs[level], level, BASE_REGION_CODES) + base_gdfs[level] = simplify_geometries(filtered, args.simplify_tolerance) + + # Step 5: Download population data + pop_data = try_download_population_data(CACHE_DIR, args.no_cache) + + # Step 6: Generate outputs + if not args.luzon_only: + _generate_base_tier(project_root, base_gdfs) + + if not args.base_only: + _generate_luzon_tier(project_root, luzon_gdfs, pop_data) + + _logger.info("Done!") + + +def _generate_base_tier(project_root, gdfs): + """Generate base tier output (NCR + CALABARZON) into spp_demo/data/.""" + _logger.info("=== Generating base tier (NCR + CALABARZON) ===") + + base_dir = project_root / "spp_demo" / "data" + + # Areas XML + xml_content = build_areas_xml( + gdfs[1], gdfs[2], gdfs[3], + module_name="spp_demo", + xml_id_prefix="area_phl", + ) + areas_path = base_dir / "countries" / "phl" / "areas.xml" + areas_path.parent.mkdir(parents=True, exist_ok=True) + areas_path.write_bytes(xml_content) + _logger.info("Wrote %s (%d bytes)", areas_path, len(xml_content)) + + # Count records per level + for level, name in [(1, "regions"), (2, "provinces"), (3, "municipalities")]: + _logger.info(" %d %s", len(gdfs[level]), name) + + # GeoJSON + geojson = build_geojson(gdfs[1], gdfs[2], gdfs[3]) + shapes_dir = base_dir / "shapes" + shapes_dir.mkdir(parents=True, exist_ok=True) + geojson_path = shapes_dir / "phl_curated.geojson" + with open(geojson_path, "w", encoding="utf-8") as f: + json.dump(geojson, f) + size_mb = geojson_path.stat().st_size / (1024 * 1024) + _logger.info("Wrote %s (%.1f MB, %d features)", geojson_path, size_mb, len(geojson["features"])) + + +def _generate_luzon_tier(project_root, gdfs, pop_data): + """Generate Luzon tier output into spp_demo_phl_luzon/data/.""" + _logger.info("=== Generating Luzon tier (all 8 regions) ===") + + luzon_dir = project_root / "spp_demo_phl_luzon" / "data" + luzon_dir.mkdir(parents=True, exist_ok=True) + + # Areas XML + xml_content = build_areas_xml( + gdfs[1], gdfs[2], gdfs[3], + module_name="spp_demo_phl_luzon", + xml_id_prefix="area_luzon", + ) + areas_path = luzon_dir / "areas_luzon.xml" + areas_path.write_bytes(xml_content) + _logger.info("Wrote %s (%d bytes)", areas_path, len(xml_content)) + + # Count records per level + for level, name in [(1, "regions"), (2, "provinces"), (3, "municipalities")]: + _logger.info(" %d %s", len(gdfs[level]), name) + + # GeoJSON + geojson = build_geojson(gdfs[1], gdfs[2], gdfs[3]) + shapes_dir = luzon_dir / "shapes" + shapes_dir.mkdir(parents=True, exist_ok=True) + geojson_path = shapes_dir / "phl_luzon.geojson" + with open(geojson_path, "w", encoding="utf-8") as f: + json.dump(geojson, f) + size_mb = geojson_path.stat().st_size / (1024 * 1024) + _logger.info("Wrote %s (%.1f MB, %d features)", geojson_path, size_mb, len(geojson["features"])) + + # Population weights CSV + csv_content = build_population_csv(gdfs[3], pop_data) + csv_path = luzon_dir / "population_weights.csv" + csv_path.write_text(csv_content, encoding="utf-8") + _logger.info("Wrote %s (%d municipalities)", csv_path, len(gdfs[3])) + + +if __name__ == "__main__": + main() diff --git a/spp b/spp index 8570e39f..e2c04932 100755 --- a/spp +++ b/spp @@ -125,6 +125,7 @@ DRY_RUN = False # Demo profiles available DEMO_PROFILES = { "mis": "spp_mis_demo_v2", + "misluzon": "spp_mis_demo_v2,spp_demo_phl_luzon", "drims": "spp_drims_sl_demo", "base": "spp_base", "grm": "spp_grm_demo", @@ -243,6 +244,28 @@ def _confirm(prompt: str, default: bool = False) -> bool: return response in ("y", "yes") +def _stable_port(path: str = None, base: int = 18000, range_size: int = 1000) -> int: + """Compute a stable port number from the project path. + + Uses a hash of the absolute path so each worktree gets a deterministic, + unique-ish port in the range [base, base + range_size). + Override via ODOO_HOST_PORT env var or stable_port in ~/.spp.toml. + """ + import hashlib + + env_port = os.environ.get("ODOO_HOST_PORT") + if env_port and env_port != "0": + return int(env_port) + + config_port = CONFIG.get("stable_port") + if config_port: + return int(config_port) + + path = path or str(PROJECT_ROOT) + digest = hashlib.md5(path.encode()).hexdigest() # nosec B324 -- not for security + return base + (int(digest, 16) % range_size) + + def _validate_db_name(name: str) -> bool: """Validate database name to prevent SQL injection.""" # PostgreSQL identifiers: alphanumeric, underscore, must start with letter/underscore @@ -309,6 +332,7 @@ def _wait_for_odoo_ready(profile: str, timeout: int = 300): """ service = "openspp-dev" if profile == "dev" else "openspp" print("Waiting for Odoo to be ready...") + print(f" Follow logs in another terminal: ./spp l -f {service}") for i in range(timeout): # Check for CRITICAL errors in logs (initialization failures) @@ -419,6 +443,7 @@ def _wait_for_module_installed(profile: str, module_name: str, timeout: int = 60 """ service = "openspp-dev" if profile == "dev" else "openspp" print(f"Waiting for module '{module_name}' to be installed...") + print(f" Follow logs in another terminal: ./spp l -f {service}") start_time = time.time() @@ -435,8 +460,9 @@ def _wait_for_module_installed(profile: str, module_name: str, timeout: int = 60 # Note: Odoo logs "Modules loaded." (capital M) and "Registry loaded in X.XXXs" logs_lower = logs.lower() if "registry loaded in" in logs_lower and "modules loaded" in logs_lower: - # Verify the module is actually installed now - state = _get_module_state(profile, module_name) + # For comma-separated module lists, check the last module (installed last) + check_module = module_name.split(",")[-1].strip() + state = _get_module_state(profile, check_module) if state == "installed": return True, None elif state in ("to install", "to upgrade"): @@ -477,6 +503,7 @@ def _show_recent_logs(profile: str, lines: int = 50): DEMO_GENERATOR_MODES = { "mis": "complete", "spp_mis_demo_v2": "complete", + "misluzon": "volume", "drims": "complete", "spp_drims_sl_demo": "complete", "grm": "complete", @@ -495,6 +522,10 @@ def _run_demo_generator(profile: str, demo_key: str, timeout: int = 600): service = "openspp-dev" if profile == "dev" else "openspp" generator_mode = DEMO_GENERATOR_MODES.get(demo_key, "complete") + # Volume mode generates thousands of groups inline; needs more time + if generator_mode == "volume": + timeout = max(timeout, 1800) + print("\n" + _color("1;34", "Phase 3: Generating demo data...")) print(f"Running demo generator (mode: {generator_mode})...") @@ -503,6 +534,7 @@ def _run_demo_generator(profile: str, demo_key: str, timeout: int = 600): generator = env['spp.mis.demo.generator'].create({{'name': 'CLI Demo', 'demo_mode': '{generator_mode}'}}) generator._onchange_demo_mode() generator.action_generate() +env.cr.commit() print('DEMO_GENERATION_COMPLETE') """ @@ -545,6 +577,17 @@ def cmd_start(args): env = os.environ.copy() demo_modules = None + # Set slow query threshold if specified + slow_queries = getattr(args, "slow_queries", None) + if slow_queries is not None: + env["PG_LOG_MIN_DURATION"] = slow_queries + threshold = int(slow_queries) + if threshold == 0: + info("Slow query logging: all queries (threshold=0ms)") + else: + info(f"Slow query logging: threshold={threshold}ms") + info("View with: ./spp slow-queries or ./spp sq -f") + # Set demo modules if specified if args.demo: demo_key = args.demo.lower().replace("-", "").replace("_", "") @@ -566,6 +609,12 @@ def cmd_start(args): if not getattr(args, "no_build", False): _check_image_freshness(profile, auto_rebuild=args.yes) + # Assign stable port for dev profile (deterministic per worktree path) + if profile == "dev": + port = _stable_port() + env["ODOO_HOST_PORT"] = str(port) + info(f"Using stable port {port} (from path hash)") + # Enable auto-reload for dev profile by default (disable with --no-watch) if profile == "dev" and not args.no_watch: env["ODOO_EXTRA_ARGS"] = "--dev=reload,qweb,xml" @@ -639,7 +688,6 @@ def cmd_start(args): # Show URL if profile == "dev": - print("\nGetting dynamic port...") _show_url() else: print("\nOdoo available at: http://localhost:8069") @@ -689,7 +737,7 @@ def cmd_restart(args): sys.exit(1) print(f"Restarting {service}...") - run(docker_compose("restart", service, profile=profile)) + run(docker_compose("restart", service, "queue-worker", profile=profile)) print("Done.") _show_url() @@ -909,6 +957,104 @@ def cmd_sql(args): run(docker_compose("exec", "db", "psql", "-U", "odoo", "-d", db_name)) +def _parse_slow_query_line(line: str) -> tuple: + """Parse a PostgreSQL slow query log line. + + Returns (duration_ms, statement) or (None, None) if not a slow query line. + Expected format from log_line_prefix '%m [%p] %d ': + 2026-03-17 12:00:00.123 UTC [42] openspp LOG: duration: 1234.567 ms statement: SELECT ... + """ + match = re.search(r"duration:\s+([\d.]+)\s+ms\s+statement:\s+(.*)", line) + if match: + return float(match.group(1)), match.group(2) + return None, None + + +def cmd_slow_queries(args): + """Extract and display slow queries from PostgreSQL logs.""" + if IS_REMOTE: + print("Error: 'slow-queries' not supported in Claude Code web environment") + sys.exit(1) + + # Follow mode: stream slow queries in real-time + if args.follow: + threshold = args.threshold + info(f"Following slow queries{f' (>{threshold}ms)' if threshold else ''}... (Ctrl+C to stop)") + cmd = docker_compose("logs", "-f", "--tail", "0", "db") + try: + proc = subprocess.Popen( + cmd, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT, + text=True, + cwd=PROJECT_ROOT, + ) + for line in proc.stdout: + duration, statement = _parse_slow_query_line(line) + if duration is not None: + if threshold and duration < threshold: + continue + color_code = "31" if duration >= 1000 else "33" if duration >= 500 else "32" + print(f"{_color(color_code, f'{duration:>10.1f}ms')} {statement.strip()}") + except KeyboardInterrupt: + proc.terminate() + print() + return + + # Batch mode: extract from recent logs + tail = args.tail or 5000 # scan more lines to find enough slow queries + cmd = docker_compose("logs", "--tail", str(tail), "db") + result = run(cmd, capture=True, check=False) + + if result.returncode != 0: + error("Could not read db logs. Is the db container running?") + sys.exit(1) + + queries = [] + for line in result.stdout.splitlines(): + duration, statement = _parse_slow_query_line(line) + if duration is not None: + threshold = args.threshold + if threshold and duration < threshold: + continue + queries.append((duration, statement.strip())) + + if not queries: + info("No slow queries found in recent logs.") + if not args.threshold: + info("Current threshold is set in docker/postgresql.conf (default: 500ms)") + info("Use './spp start --slow-queries=0' to log all queries") + return + + # Sort by duration if requested + if args.sort: + queries.sort(key=lambda q: q[0], reverse=True) + + # Limit output + limit = args.limit or 50 + shown = queries[-limit:] if not args.sort else queries[:limit] + + print(f"\n{'Duration':>12} Statement") + print(f"{'--------':>12} ---------") + for duration, statement in shown: + color_code = "31" if duration >= 1000 else "33" if duration >= 500 else "32" + # Truncate long statements for readability + max_len = 120 + display = statement if len(statement) <= max_len else statement[:max_len] + "..." + print(f"{_color(color_code, f'{duration:>10.1f}ms')} {display}") + + total = len(queries) + if total > limit: + print(f"\n ... {total - limit} more queries not shown (use --limit to see more)") + + print(f"\n Total: {total} slow queries") + if queries: + durations = [q[0] for q in queries] + print( + f" Min: {min(durations):.1f}ms Max: {max(durations):.1f}ms Avg: {sum(durations) / len(durations):.1f}ms" + ) + + def _show_url(open_browser: bool = False) -> str | None: """Get the running Odoo server URL.""" service, profile = _find_running_odoo() @@ -924,36 +1070,14 @@ def _show_url(open_browser: bool = False) -> str | None: _open_browser(url) return url - # Dev profile uses dynamic port - need to look it up - result = run( - docker_compose("ps", "--format", "json", profile="dev"), - capture=True, - check=False, - ) - - if result.returncode != 0: - return None - - try: - for line in result.stdout.strip().split("\n"): - if not line: - continue - container = json.loads(line) - if container.get("Service") == "openspp-dev": - for publisher in container.get("Publishers", []): - if publisher.get("TargetPort") == 8069: - port = publisher.get("PublishedPort") - if port: - url = f"http://localhost:{port}" - print(f"Odoo URL: {url}") - print("Credentials: admin / admin") - if open_browser: - _open_browser(url) - return url - except (json.JSONDecodeError, KeyError): - pass - - return None + # Dev profile uses stable port from path hash + port = _stable_port() + url = f"http://localhost:{port}" + print(f"Odoo URL: {url}") + print("Credentials: admin / admin") + if open_browser: + _open_browser(url) + return url def _open_browser(url: str): @@ -1060,6 +1184,7 @@ def cmd_help(_args): print(" logs, l View container logs") print(" shell, sh Open Odoo shell") print(" sql Open PostgreSQL shell or run SQL") + print(" slow-queries, sq Show slow PostgreSQL queries") print(" url Show dev server URL") print(" lint Run linters on changed files") print(" status, st Show running services") @@ -1079,6 +1204,10 @@ def cmd_help(_args): print(" ./spp r # Restart Odoo container") print(" ./spp u spp_programs # Update a module") print(" ./spp l -f # Follow Odoo logs") + print(" ./spp start --slow-queries # Log all SQL queries") + print(" ./spp start --slow-queries=200 # Log queries > 200ms") + print(" ./spp sq -f # Follow slow queries live") + print(" ./spp sq --sort # Show slowest queries first") print(" ./spp url --open # Open in browser") print("") print("Chaining: Commands can be chained (options apply to preceding command):") @@ -1228,6 +1357,8 @@ COMMANDS = { "shell": cmd_shell, "sh": cmd_shell, "sql": cmd_sql, + "slow-queries": cmd_slow_queries, + "sq": cmd_slow_queries, "url": cmd_url, "lint": cmd_lint, "status": cmd_status, @@ -1247,6 +1378,7 @@ ALIASES = { "b": "build", "l": "logs", "sh": "shell", + "sq": "slow-queries", "st": "status", } @@ -1261,6 +1393,7 @@ MAIN_COMMANDS = [ ("build", "Build Docker images"), ("logs", "View container logs"), ("shell", "Open shell"), + ("slow-queries", "Show slow PostgreSQL queries"), ("url", "Show dev URL"), ("lint", "Run linters"), ("status", "Show service status"), @@ -1333,6 +1466,14 @@ def build_parser(): action="store_true", help="Also start PRISM frontend on port 3000 (requires prism-app repo)", ) + p.add_argument( + "--slow-queries", + nargs="?", + const="0", + default=None, + metavar="MS", + help="Set PostgreSQL slow query threshold in ms (default config: 500ms, --slow-queries alone logs all)", + ) # stop p = subparsers.add_parser("stop", help="Stop all services") @@ -1395,6 +1536,14 @@ def build_parser(): ) p.add_argument("--file", "-f", help="SQL file to execute") + # slow-queries + p = subparsers.add_parser("slow-queries", help="Show slow PostgreSQL queries") + p.add_argument("--follow", "-f", action="store_true", help="Follow slow queries in real-time") + p.add_argument("--tail", type=int, default=5000, help="Number of log lines to scan (default: 5000)") + p.add_argument("--threshold", type=float, metavar="MS", help="Only show queries slower than MS milliseconds") + p.add_argument("--sort", "-s", action="store_true", help="Sort by duration (slowest first)") + p.add_argument("--limit", "-n", type=int, default=50, help="Max queries to show (default: 50)") + # url p = subparsers.add_parser("url", help="Show dev URL") p.add_argument("--open", "-o", action="store_true", help="Open in browser") diff --git a/spp_api_v2_gis/__manifest__.py b/spp_api_v2_gis/__manifest__.py index ffdc88ba..11a71b2b 100644 --- a/spp_api_v2_gis/__manifest__.py +++ b/spp_api_v2_gis/__manifest__.py @@ -18,9 +18,13 @@ "spp_vocabulary", "spp_statistic", "spp_aggregation", + "spp_programs", + "spp_cel_domain", + "job_worker", ], "data": [ "security/ir.model.access.csv", + "data/cron_job_cleanup.xml", ], "assets": {}, "demo": [], diff --git a/spp_api_v2_gis/data/cron_job_cleanup.xml b/spp_api_v2_gis/data/cron_job_cleanup.xml new file mode 100644 index 00000000..b33999d1 --- /dev/null +++ b/spp_api_v2_gis/data/cron_job_cleanup.xml @@ -0,0 +1,12 @@ + + + + GIS: Process Job Cleanup + + code + model.cron_cleanup_jobs() + 1 + days + True + + diff --git a/spp_api_v2_gis/models/__init__.py b/spp_api_v2_gis/models/__init__.py index d54fa7da..e796ade3 100644 --- a/spp_api_v2_gis/models/__init__.py +++ b/spp_api_v2_gis/models/__init__.py @@ -2,3 +2,4 @@ from . import api_client_scope from . import fastapi_endpoint from . import geofence +from . import process_job diff --git a/spp_api_v2_gis/models/fastapi_endpoint.py b/spp_api_v2_gis/models/fastapi_endpoint.py index 6261e991..cf55bc3b 100644 --- a/spp_api_v2_gis/models/fastapi_endpoint.py +++ b/spp_api_v2_gis/models/fastapi_endpoint.py @@ -21,7 +21,9 @@ def _get_fastapi_routers(self) -> list[APIRouter]: if self.app == "api_v2": from ..routers.export import export_router from ..routers.geofence import geofence_router + from ..routers.jobs import jobs_router from ..routers.ogc_features import ogc_features_router + from ..routers.processes import processes_router from ..routers.proximity import proximity_router from ..routers.spatial_query import spatial_query_router from ..routers.statistics import statistics_router @@ -29,6 +31,8 @@ def _get_fastapi_routers(self) -> list[APIRouter]: routers.extend( [ ogc_features_router, + processes_router, + jobs_router, export_router, geofence_router, proximity_router, diff --git a/spp_api_v2_gis/models/process_job.py b/spp_api_v2_gis/models/process_job.py new file mode 100644 index 00000000..cc89cc41 --- /dev/null +++ b/spp_api_v2_gis/models/process_job.py @@ -0,0 +1,202 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. + +import logging + +from odoo import _, api, fields, models +from odoo.exceptions import UserError + +_logger = logging.getLogger(__name__) + + +class GisProcessJob(models.Model): + _name = "spp.gis.process.job" + _description = "OGC Process Job" + _order = "create_date desc" + + job_id = fields.Char( + required=True, + index=True, + help="UUID external identifier for the job (OGC jobID)", + ) + process_id = fields.Char( + required=True, + index=True, + help="Process identifier (e.g., 'spatial-statistics')", + ) + status = fields.Selection( + selection=[ + ("accepted", "Accepted"), + ("running", "Running"), + ("successful", "Successful"), + ("failed", "Failed"), + ("dismissed", "Dismissed"), + ], + default="accepted", + required=True, + index=True, + ) + client_id = fields.Many2one( + comodel_name="spp.api.client", + index=True, + help="API client that submitted the job", + ) + message = fields.Text(help="Human-readable status message") + progress = fields.Integer(default=0, help="Job progress percentage (0-100)") + inputs = fields.Json(help="Serialized execute request inputs") + results = fields.Json(help="Serialized process output") + started_at = fields.Datetime(help="Timestamp when job execution started") + finished_at = fields.Datetime(help="Timestamp when job execution finished") + job_uuid = fields.Char( + index=True, + help="Job worker UUID for tracking the background job", + ) + + _sql_constraints = [ + ("job_id_unique", "UNIQUE(job_id)", "Job ID must be unique"), + ] + + def dismiss(self): + """Dismiss a job. + + For accepted jobs: sets status to dismissed and records finished_at. + For running jobs: raises a UserError (cannot dismiss running jobs). + For terminal jobs (successful/failed/dismissed): deletes the record. + """ + self.ensure_one() + if self.status == "accepted": + self.write( + { + "status": "dismissed", + "finished_at": fields.Datetime.now(), + } + ) + elif self.status == "running": + raise UserError(_("Cannot dismiss a running job. Wait for it to finish or check back later.")) + else: + # Terminal statuses: successful, failed, dismissed + self.unlink() + + def execute_process(self): + """Execute the process for this job. + + This method is called by the job worker. It runs the appropriate + SpatialQueryService method based on process_id, stores the results, + and updates the job status accordingly. + + For batch spatial-statistics requests, progress is updated per geometry. + """ + self.ensure_one() + # The job worker runs as the user_id stored on queue.job, which may + # lack write ACLs on this model. Escalate to superuser for the + # duration of this background task. + # nosemgrep: odoo-sudo-without-context + self = self.sudo() + + self.write( + { + "status": "running", + "started_at": fields.Datetime.now(), + } + ) + + try: + # Lazy imports to avoid circular imports + from ..services.process_execution import run_proximity_statistics, run_spatial_statistics + from ..services.process_registry import PROXIMITY_STATISTICS, SPATIAL_STATISTICS + from ..services.spatial_query_service import SpatialQueryService + + service = SpatialQueryService(self.env) + inputs = self.inputs or {} + + if self.process_id == SPATIAL_STATISTICS: + on_progress = self._make_batch_progress_callback(inputs) + results = run_spatial_statistics(service, inputs, on_progress=on_progress) + elif self.process_id == PROXIMITY_STATISTICS: + results = run_proximity_statistics(service, inputs) + else: + raise ValueError(f"Unknown process_id: {self.process_id!r}") + + self.write( + { + "status": "successful", + "finished_at": fields.Datetime.now(), + "progress": 100, + "results": results, + } + ) + + except Exception: + _logger.exception("GIS process job %s failed", self.job_id) + self.write( + { + "status": "failed", + "finished_at": fields.Datetime.now(), + "message": "Process execution failed. Check server logs for details.", + } + ) + + def _make_batch_progress_callback(self, inputs): + """Return a progress callback for batch execution, or None for non-batch. + + The callback throttles DB writes: it only writes when the integer + percentage changes, avoiding up to 100 redundant ORM writes. + """ + geometry = inputs.get("geometry") + if not isinstance(geometry, list): + return None + + total = len(geometry) + last_pct = [0] # mutable container for closure + + def on_progress(completed): + pct = int(completed / total * 100) + if pct != last_pct[0]: + last_pct[0] = pct + self.write({"progress": pct}) + + return on_progress + + @api.model + def cron_cleanup_jobs(self): + """Clean up old and stale jobs. + + Called by ir.cron on a daily schedule. + + - Deletes jobs older than the configured retention period. + - Marks stale accepted/running jobs (older than 1 hour) as failed. + """ + IrConfig = self.env["ir.config_parameter"].sudo() + try: + retention_days = int(IrConfig.get_param("spp_gis.job_retention_days", default=7)) + except (ValueError, TypeError): + retention_days = 7 + + cutoff_date = fields.Datetime.subtract(fields.Datetime.now(), days=retention_days) + stale_cutoff = fields.Datetime.subtract(fields.Datetime.now(), hours=1) + + # Mark stale in-progress jobs as failed first (before deletion cutoff) + stale_jobs = self.search( + [ + ("status", "in", ["accepted", "running"]), + ("create_date", "<", stale_cutoff), + ] + ) + if stale_jobs: + _logger.info("Marking %d stale GIS process jobs as failed", len(stale_jobs)) + stale_jobs.write( + { + "status": "failed", + "finished_at": fields.Datetime.now(), + "message": "Job timed out (stale)", + } + ) + + # Delete jobs older than retention period + old_jobs = self.search([("create_date", "<", cutoff_date)]) + if old_jobs: + _logger.info( + "Deleting %d GIS process jobs older than %d days", + len(old_jobs), + retention_days, + ) + old_jobs.unlink() diff --git a/spp_api_v2_gis/routers/__init__.py b/spp_api_v2_gis/routers/__init__.py index d5e170ae..036244ca 100644 --- a/spp_api_v2_gis/routers/__init__.py +++ b/spp_api_v2_gis/routers/__init__.py @@ -1,7 +1,9 @@ # Part of OpenSPP. See LICENSE file for full copyright and licensing details. from . import export from . import geofence +from . import jobs from . import ogc_features +from . import processes from . import proximity from . import spatial_query from . import statistics diff --git a/spp_api_v2_gis/routers/_helpers.py b/spp_api_v2_gis/routers/_helpers.py new file mode 100644 index 00000000..ccd1e0ef --- /dev/null +++ b/spp_api_v2_gis/routers/_helpers.py @@ -0,0 +1,70 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Shared helpers for GIS OGC API routers.""" + +from fastapi import HTTPException, Request, Response, status + +from ..schemas.processes import StatusInfo + +# Suggested polling interval for async job status (seconds) +RETRY_AFTER_SECONDS = "5" + + +def check_gis_scope(api_client): + """Verify client has gis:read or statistics:read scope.""" + if not (api_client.has_scope("gis", "read") or api_client.has_scope("statistics", "read")): + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Client does not have gis:read or statistics:read scope", + ) + + +def get_base_url(request: Request) -> str: + """Extract base URL for self-referencing links.""" + url = str(request.base_url).rstrip("/") + return f"{url}/api/v2/spp" + + +def build_status_info(job, base_url=""): + """Build a StatusInfo from a spp.gis.process.job record. + + Handles Odoo's False-for-empty convention on Text fields by + coercing falsy values to None for Pydantic compatibility. + """ + links = [] + ogc_base = f"{base_url}/gis/ogc" if base_url else "" + + if ogc_base: + links.append({"href": f"{ogc_base}/jobs/{job.job_id}", "rel": "self", "type": "application/json"}) + if job.status == "successful": + links.append( + {"href": f"{ogc_base}/jobs/{job.job_id}/results", "rel": "results", "type": "application/json"} + ) + + return StatusInfo( + jobID=job.job_id, + processID=job.process_id, + status=job.status, + message=job.message or None, + created=job.create_date.isoformat() if job.create_date else None, + started=job.started_at.isoformat() if job.started_at else None, + finished=job.finished_at.isoformat() if job.finished_at else None, + updated=job.write_date.isoformat() if job.write_date else None, + progress=job.progress, + links=links, + ) + + +def build_status_response(status_info, status_code=200, extra_headers=None): + """Build a JSON Response from a StatusInfo, with optional extra headers. + + Used when headers like Retry-After need to be set alongside the JSON body. + """ + headers = {} + if extra_headers: + headers.update(extra_headers) + return Response( + content=status_info.model_dump_json(by_alias=True, exclude_none=True), + status_code=status_code, + media_type="application/json", + headers=headers or None, + ) diff --git a/spp_api_v2_gis/routers/jobs.py b/spp_api_v2_gis/routers/jobs.py new file mode 100644 index 00000000..b37bb14a --- /dev/null +++ b/spp_api_v2_gis/routers/jobs.py @@ -0,0 +1,180 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""OGC API - Processes job management endpoints. + +Endpoints: + GET /gis/ogc/jobs List jobs (filtered by client) + GET /gis/ogc/jobs/{jobId} Job status + GET /gis/ogc/jobs/{jobId}/results Job results + DELETE /gis/ogc/jobs/{jobId} Dismiss or delete a job +""" + +import logging +from typing import Annotated + +from odoo.api import Environment +from odoo.exceptions import UserError + +from odoo.addons.fastapi.dependencies import odoo_env +from odoo.addons.spp_api_v2.middleware.auth import get_authenticated_client + +from fastapi import APIRouter, Depends, HTTPException, Path, Query, Request, status + +from ..schemas.processes import JobList, StatusInfo +from ._helpers import RETRY_AFTER_SECONDS, build_status_info, build_status_response, check_gis_scope, get_base_url + +_logger = logging.getLogger(__name__) + +jobs_router = APIRouter(tags=["GIS - OGC API Processes"], prefix="/gis/ogc") + + +def _get_job_or_404(env, job_id, api_client): + """Look up a job record scoped to the authenticated client.""" + # nosemgrep: odoo-sudo-without-context + job = ( + env["spp.gis.process.job"] + .sudo() + .search( + [ + ("job_id", "=", job_id), + ("client_id", "=", api_client.id), + ], + limit=1, + ) + ) + if not job: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Job '{job_id}' not found", + ) + return job + + +@jobs_router.get( + "/jobs", + response_model=JobList, + summary="List jobs", + description="List process jobs for the authenticated client.", +) +async def list_jobs( + request: Request, + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], + status_filter: Annotated[ + str | None, + Query(alias="status", description="Filter by job status"), + ] = None, + limit: Annotated[int, Query(ge=1, le=1000, description="Maximum jobs to return")] = 100, +): + """List jobs scoped to the authenticated client.""" + check_gis_scope(api_client) + + domain = [("client_id", "=", api_client.id)] + if status_filter: + valid_statuses = {"accepted", "running", "successful", "failed", "dismissed"} + if status_filter not in valid_statuses: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Invalid status filter. Must be one of: {', '.join(sorted(valid_statuses))}", + ) + domain.append(("status", "=", status_filter)) + + # nosemgrep: odoo-sudo-without-context + jobs = env["spp.gis.process.job"].sudo().search(domain, limit=limit, order="create_date desc") + + base_url = get_base_url(request) + return JobList(jobs=[build_status_info(j, base_url) for j in jobs]) + + +@jobs_router.get( + "/jobs/{job_id}", + response_model=StatusInfo, + response_model_exclude_none=True, + summary="Job status", + description="Get the status of a process job.", +) +async def get_job_status( + job_id: Annotated[str, Path(description="Job identifier")], + request: Request, + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Get job status, scoped to authenticated client.""" + check_gis_scope(api_client) + + job = _get_job_or_404(env, job_id, api_client) + base_url = get_base_url(request) + status_info = build_status_info(job, base_url) + + # Add Retry-After header for in-progress jobs to guide client polling + if job.status in ("accepted", "running"): + return build_status_response(status_info, extra_headers={"Retry-After": RETRY_AFTER_SECONDS}) + + return status_info + + +@jobs_router.get( + "/jobs/{job_id}/results", + summary="Job results", + description="Get the results of a completed process job.", +) +async def get_job_results( + job_id: Annotated[str, Path(description="Job identifier")], + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Get results from a completed job. + + Only available when job status is 'successful'. + """ + check_gis_scope(api_client) + + job = _get_job_or_404(env, job_id, api_client) + + if job.status != "successful": + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Results not available. Job status is '{job.status}'", + ) + + return job.results + + +@jobs_router.delete( + "/jobs/{job_id}", + status_code=200, + summary="Dismiss or delete a job", + description="Dismiss a queued job or delete a completed job.", +) +async def dismiss_job( + job_id: Annotated[str, Path(description="Job identifier")], + request: Request, + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Dismiss or delete a job. + + For accepted jobs: sets status to dismissed. + For running jobs: returns 409 Conflict. + For terminal jobs: deletes the record. + """ + check_gis_scope(api_client) + + job = _get_job_or_404(env, job_id, api_client) + + try: + was_accepted = job.status == "accepted" + job.dismiss() + + if was_accepted: + # Job was dismissed, return updated status + base_url = get_base_url(request) + return build_status_info(job, base_url) + + # Job was deleted (terminal status) + return {"message": "Job deleted"} + + except UserError: + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail="Cannot dismiss a running job", + ) from None diff --git a/spp_api_v2_gis/routers/ogc_features.py b/spp_api_v2_gis/routers/ogc_features.py index 5bbf3bc5..f00fa2d8 100644 --- a/spp_api_v2_gis/routers/ogc_features.py +++ b/spp_api_v2_gis/routers/ogc_features.py @@ -1,18 +1,22 @@ # Part of OpenSPP. See LICENSE file for full copyright and licensing details. """OGC API - Features endpoints. -Implements the OGC API - Features Core standard (Part 1: Core) for -GovStack GIS Building Block compliance. Maps existing GIS report data -and data layers to OGC-compliant feature collections. +Implements OGC API - Features Part 1 (Core) and Part 4 (Create/Replace/Delete) +for GovStack GIS Building Block compliance. Maps existing GIS report data +and data layers to OGC-compliant feature collections. The geofences collection +supports full CRUD operations. Endpoints: - GET /gis/ogc/ Landing page - GET /gis/ogc/conformance Conformance classes - GET /gis/ogc/collections List all collections - GET /gis/ogc/collections/{id} Single collection metadata - GET /gis/ogc/collections/{id}/items Feature items (GeoJSON) - GET /gis/ogc/collections/{id}/items/{fid} Single feature - GET /gis/ogc/collections/{id}/qml QGIS style file (extension) + GET /gis/ogc/ Landing page + GET /gis/ogc/conformance Conformance classes + GET /gis/ogc/collections List all collections + GET /gis/ogc/collections/{id} Single collection metadata + GET /gis/ogc/collections/{id}/items Feature items (GeoJSON) + GET /gis/ogc/collections/{id}/items/{fid} Single feature + POST /gis/ogc/collections/geofences/items Create geofence (Part 4) + PUT /gis/ogc/collections/geofences/items/{fid} Replace geofence (Part 4) + DELETE /gis/ogc/collections/geofences/items/{fid} Delete geofence (Part 4) + GET /gis/ogc/collections/{id}/qml QGIS style file (extension) """ import json @@ -34,7 +38,7 @@ Conformance, LandingPage, ) -from ..services.ogc_service import OGCService +from ..services.ogc_service import GEOFENCES_COLLECTION_ID, OGCService from ..services.qml_template_service import QMLTemplateService _logger = logging.getLogger(__name__) @@ -72,6 +76,22 @@ def _check_gis_read_scope(api_client): ) +def _check_gis_geofence_scope(api_client): + """Verify client has gis:geofence scope for write operations. + + Args: + api_client: Authenticated API client + + Raises: + HTTPException: If scope check fails + """ + if not api_client.has_scope("gis", "geofence"): + raise HTTPException( + status_code=status.HTTP_403_FORBIDDEN, + detail="Client does not have gis:geofence scope", + ) + + @ogc_features_router.get( "", response_model=LandingPage, @@ -176,6 +196,14 @@ async def get_collection_items( description=("Bounding box filter: west,south,east,north (e.g., -180,-90,180,90)"), ), ] = None, + geofence_type: Annotated[ + str | None, + Query(description="Filter by geofence type (geofences collection only)"), + ] = None, + active: Annotated[ + bool | None, + Query(description="Include archived geofences (geofences collection only)"), + ] = None, ): """Get features from a collection. @@ -205,6 +233,8 @@ async def get_collection_items( limit=limit, offset=offset, bbox=bbox_list, + geofence_type=geofence_type, + active=active, ) return Response( content=_json_dumps(result), @@ -234,16 +264,159 @@ async def options_collection_items( """Handle OPTIONS requests from OAPIF clients (e.g. QGIS). QGIS sends OPTIONS to discover allowed methods before fetching features. + Geofences collection advertises write methods (POST, PUT, DELETE). """ + if collection_id == GEOFENCES_COLLECTION_ID: + allow = "GET, HEAD, OPTIONS, POST, PUT, DELETE" + else: + allow = "GET, HEAD, OPTIONS" + return Response( status_code=200, headers={ - "Allow": "GET, HEAD, OPTIONS", + "Allow": allow, "Accept": "application/geo+json, application/json", }, ) +@ogc_features_router.post( + "/collections/{collection_id}/items", + summary="Create feature (OGC Part 4)", + description="Create a new feature in the collection. Only supported for the geofences collection.", + status_code=status.HTTP_201_CREATED, +) +async def post_collection_item( + collection_id: Annotated[str, Path(description="Collection identifier")], + request: Request, + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Create a new feature (OGC API - Features Part 4).""" + if collection_id != GEOFENCES_COLLECTION_ID: + raise HTTPException( + status_code=status.HTTP_405_METHOD_NOT_ALLOWED, + detail="POST is only supported for the geofences collection", + ) + + _check_gis_geofence_scope(api_client) + + try: + body = await request.json() + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Invalid JSON body: {e}", + ) from e + + try: + base_url = _get_base_url(request) + service = OGCService(env, base_url) + result = service.create_geofence_feature(body) + + return Response( + content=_json_dumps(result["feature"]), + status_code=status.HTTP_201_CREATED, + media_type="application/geo+json", + headers={ + "Location": result["location"], + "Content-Crs": "", + }, + ) + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) from e + + +@ogc_features_router.put( + "/collections/{collection_id}/items/{feature_id}", + summary="Replace feature (OGC Part 4)", + description="Replace a feature in the collection. Only supported for the geofences collection.", +) +async def put_collection_item( + collection_id: Annotated[str, Path(description="Collection identifier")], + feature_id: Annotated[str, Path(description="Feature identifier (UUID)")], + request: Request, + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Replace a feature (OGC API - Features Part 4).""" + if collection_id != GEOFENCES_COLLECTION_ID: + raise HTTPException( + status_code=status.HTTP_405_METHOD_NOT_ALLOWED, + detail="PUT is only supported for the geofences collection", + ) + + _check_gis_geofence_scope(api_client) + + try: + body = await request.json() + except Exception as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Invalid JSON body: {e}", + ) from e + + try: + base_url = _get_base_url(request) + service = OGCService(env, base_url) + result = service.replace_geofence_feature(feature_id, body) + + return Response( + content=_json_dumps(result), + media_type="application/geo+json", + headers={"Content-Crs": ""}, + ) + except MissingError as e: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=str(e), + ) from e + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) from e + + +@ogc_features_router.delete( + "/collections/{collection_id}/items/{feature_id}", + summary="Delete feature (OGC Part 4)", + description="Delete a feature from the collection. Only supported for the geofences collection.", + status_code=status.HTTP_204_NO_CONTENT, +) +async def delete_collection_item( + collection_id: Annotated[str, Path(description="Collection identifier")], + feature_id: Annotated[str, Path(description="Feature identifier (UUID)")], + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Delete a feature (OGC API - Features Part 4).""" + if collection_id != GEOFENCES_COLLECTION_ID: + raise HTTPException( + status_code=status.HTTP_405_METHOD_NOT_ALLOWED, + detail="DELETE is only supported for the geofences collection", + ) + + _check_gis_geofence_scope(api_client) + + try: + service = OGCService(env) + service.delete_geofence_feature(feature_id) + except MissingError as e: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=str(e), + ) from e + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_409_CONFLICT, + detail=str(e), + ) from e + + @ogc_features_router.get( "/collections/{collection_id}/items/{feature_id}", summary="Single feature", diff --git a/spp_api_v2_gis/routers/processes.py b/spp_api_v2_gis/routers/processes.py new file mode 100644 index 00000000..0f394e82 --- /dev/null +++ b/spp_api_v2_gis/routers/processes.py @@ -0,0 +1,309 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""OGC API - Processes endpoints. + +Implements process discovery and execution per OGC API - Processes Part 1: Core. + +Endpoints: + GET /gis/ogc/processes List available processes + GET /gis/ogc/processes/{processId} Process description + POST /gis/ogc/processes/{processId}/execution Execute a process +""" + +import logging +import uuid +from typing import Annotated + +from odoo.api import Environment + +from odoo.addons.fastapi.dependencies import odoo_env +from odoo.addons.spp_api_v2.middleware.auth import get_authenticated_client + +from fastapi import APIRouter, Body, Depends, Header, HTTPException, Path, Request, Response, status + +from ..schemas.processes import ( + ExecuteRequest, + ProcessDescription, + ProcessList, + ProcessSummary, +) +from ..services.process_execution import run_proximity_statistics, run_spatial_statistics +from ..services.process_registry import ( + DEFAULT_MAX_PROXIMITY_POINTS, + MAX_BATCH_GEOMETRIES, + PROXIMITY_STATISTICS, + SPATIAL_STATISTICS, + VALID_PROCESS_IDS, + ProcessRegistry, +) +from ..services.spatial_query_service import SpatialQueryService +from ._helpers import RETRY_AFTER_SECONDS, build_status_info, check_gis_scope, get_base_url + +_logger = logging.getLogger(__name__) + +processes_router = APIRouter(tags=["GIS - OGC API Processes"], prefix="/gis/ogc") + +# Maximum geometries allowed in a sync request before forcing async +_DEFAULT_FORCED_ASYNC_THRESHOLD = 10 + + +@processes_router.get( + "/processes", + response_model=ProcessList, + summary="List available processes", + description="Returns a list of all available OGC processes.", +) +async def list_processes( + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """List all available OGC processes.""" + check_gis_scope(api_client) + + registry = ProcessRegistry(env) + process_dicts = registry.list_processes() + + processes = [ProcessSummary(**p) for p in process_dicts] + return ProcessList(processes=processes) + + +@processes_router.get( + "/processes/{process_id}", + response_model=ProcessDescription, + summary="Process description", + description="Returns the full description of a process, including input/output schemas.", +) +async def get_process_description( + process_id: Annotated[str, Path(description="Process identifier")], + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], +): + """Get full process description with input/output schemas.""" + check_gis_scope(api_client) + + registry = ProcessRegistry(env) + description = registry.get_process(process_id) + + if description is None: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Process '{process_id}' not found", + ) + + return ProcessDescription(**description) + + +@processes_router.post( + "/processes/{process_id}/execution", + summary="Execute a process", + description="Execute an OGC process synchronously or asynchronously.", + status_code=200, +) +async def execute_process( + process_id: Annotated[str, Path(description="Process identifier")], + execute_request: Annotated[ExecuteRequest, Body(...)], + request: Request, + env: Annotated[Environment, Depends(odoo_env)], + api_client: Annotated[dict, Depends(get_authenticated_client)], + prefer: Annotated[str | None, Header()] = None, +): + """Execute a process. + + Supports both synchronous and asynchronous execution. + Use the Prefer: respond-async header to request async execution. + Batch requests with more than the configured threshold of geometries + are automatically forced to async. + """ + check_gis_scope(api_client) + + # Validate process ID + if process_id not in VALID_PROCESS_IDS: + raise HTTPException( + status_code=status.HTTP_404_NOT_FOUND, + detail=f"Process '{process_id}' not found", + ) + + inputs = execute_request.inputs + + # Validate and determine sync vs async + wants_async = prefer and "respond-async" in prefer + forced_async = False + + if process_id == SPATIAL_STATISTICS: + _validate_spatial_statistics_inputs(inputs) + geometry = inputs.get("geometry") + if isinstance(geometry, list): + # Get forced async threshold + # nosemgrep: odoo-sudo-without-context + try: + threshold = int( + env["ir.config_parameter"] + .sudo() + .get_param("spp_gis.forced_async_threshold", _DEFAULT_FORCED_ASYNC_THRESHOLD) + ) + except (ValueError, TypeError): + threshold = _DEFAULT_FORCED_ASYNC_THRESHOLD + if len(geometry) > threshold: + forced_async = True + elif process_id == PROXIMITY_STATISTICS: + # nosemgrep: odoo-sudo-without-context + try: + max_points = int( + env["ir.config_parameter"] + .sudo() + .get_param("spp_gis.max_proximity_points", DEFAULT_MAX_PROXIMITY_POINTS) + ) + except (ValueError, TypeError): + max_points = DEFAULT_MAX_PROXIMITY_POINTS + _validate_proximity_statistics_inputs(inputs, max_points) + + use_async = wants_async or forced_async + + if use_async: + return _execute_async(env, api_client, process_id, inputs, request) + + return _execute_sync(env, process_id, inputs) + + +def _validate_spatial_statistics_inputs(inputs): + """Validate inputs for spatial-statistics process.""" + geometry = inputs.get("geometry") + if geometry is None: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'geometry' input is required", + ) + + if isinstance(geometry, list): + if len(geometry) == 0: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'geometry' array must not be empty", + ) + if len(geometry) > MAX_BATCH_GEOMETRIES: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Maximum {MAX_BATCH_GEOMETRIES} geometries allowed per request", + ) + # Validate each item has {id, value} wrapper + for i, item in enumerate(geometry): + if not isinstance(item, dict) or "id" not in item or "value" not in item: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Geometry array item {i} must be an object with 'id' and 'value' keys. " + "Bare GeoJSON arrays are not supported; wrap each geometry in {{id, value}}.", + ) + elif not isinstance(geometry, dict): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'geometry' must be a GeoJSON object or an array of {id, value} objects", + ) + + +def _validate_proximity_statistics_inputs(inputs, max_points=DEFAULT_MAX_PROXIMITY_POINTS): + """Validate inputs for proximity-statistics process.""" + reference_points = inputs.get("reference_points") + if not reference_points: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'reference_points' input is required", + ) + if not isinstance(reference_points, list) or len(reference_points) == 0: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'reference_points' must be a non-empty array", + ) + if len(reference_points) > max_points: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=f"Maximum {max_points:,} reference points allowed", + ) + + radius_km = inputs.get("radius_km") + if radius_km is None: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'radius_km' input is required", + ) + if not isinstance(radius_km, (int, float)) or radius_km <= 0: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'radius_km' must be a positive number", + ) + if radius_km > 500: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'radius_km' must not exceed 500", + ) + + relation = inputs.get("relation", "within") + if relation not in ("within", "beyond"): + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail="'relation' must be 'within' or 'beyond'", + ) + + +def _execute_sync(env, process_id, inputs): + """Execute a process synchronously and return results directly.""" + service = SpatialQueryService(env) + + try: + if process_id == SPATIAL_STATISTICS: + result = run_spatial_statistics(service, inputs) + else: + result = run_proximity_statistics(service, inputs) + + return result + + except ValueError as e: + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail=str(e), + ) from e + except Exception: + _logger.exception("Process execution failed for %s", process_id) + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail="Process execution failed", + ) from None + + +def _execute_async(env, api_client, process_id, inputs, request): + """Execute a process asynchronously via job_worker.""" + job_id = str(uuid.uuid4()) + + # Create job record + # nosemgrep: odoo-sudo-without-context + job = ( + env["spp.gis.process.job"] + .sudo() + .create( + { + "job_id": job_id, + "process_id": process_id, + "client_id": api_client.id, + "inputs": inputs, + } + ) + ) + + # Enqueue via job_worker + delayed = job.with_delay( + channel="gis", + timeout=300, + description=f"OGC Process: {process_id} ({job_id})", + ).execute_process() + job.job_uuid = delayed.uuid + + base_url = get_base_url(request) + status_info = build_status_info(job, base_url) + + return Response( + content=status_info.model_dump_json(by_alias=True, exclude_none=True), + status_code=201, + media_type="application/json", + headers={ + "Location": f"{base_url}/gis/ogc/jobs/{job_id}", + "Retry-After": RETRY_AFTER_SECONDS, + }, + ) diff --git a/spp_api_v2_gis/routers/statistics.py b/spp_api_v2_gis/routers/statistics.py index 48e84c5e..427322a1 100644 --- a/spp_api_v2_gis/routers/statistics.py +++ b/spp_api_v2_gis/routers/statistics.py @@ -1,5 +1,9 @@ # Part of OpenSPP. See LICENSE file for full copyright and licensing details. -"""Statistics discovery API endpoint.""" +"""Statistics discovery API endpoint. + +Delegates to the ProcessRegistry for statistics metadata, +keeping this endpoint as a convenience alias. +""" import logging from typing import Annotated @@ -16,6 +20,7 @@ StatisticInfo, StatisticsListResponse, ) +from ..services.process_registry import ProcessRegistry _logger = logging.getLogger(__name__) @@ -35,7 +40,8 @@ async def list_statistics( """List all GIS-published statistics grouped by category. Used by the QGIS plugin to discover what statistics are available - for spatial queries and map visualization. + for spatial queries and map visualization. Delegates to the + ProcessRegistry for consistent metadata. """ # Check read scope if not (api_client.has_scope("gis", "read") or api_client.has_scope("statistics", "read")): @@ -45,35 +51,29 @@ async def list_statistics( ) try: - # nosemgrep: odoo-sudo-without-context - Statistic = env["spp.statistic"].sudo() - stats_by_category = Statistic.get_published_by_category("gis") + registry = ProcessRegistry(env) + _variable_names, categories_data = registry.get_statistics_metadata() categories = [] total_count = 0 - for category_code, stat_records in stats_by_category.items(): - # Get category metadata - category_record = stat_records[0].category_id if stat_records else None - - stat_items = [] - for stat in stat_records: - config = stat.get_context_config("gis") - stat_items.append( - StatisticInfo( - name=stat.name, - label=config.get("label", stat.label), - description=stat.description, - format=config.get("format", stat.format), - unit=stat.unit, - ) + for cat in categories_data: + stat_items = [ + StatisticInfo( + name=s["name"], + label=s["label"], + description=s.get("description"), + format=s["format"], + unit=s.get("unit"), ) + for s in cat["statistics"] + ] categories.append( StatisticCategoryInfo( - code=category_code, - name=category_record.name if category_record else category_code.replace("_", " ").title(), - icon=getattr(category_record, "icon", None) if category_record else None, + code=cat["code"], + name=cat["name"], + icon=cat.get("icon"), statistics=stat_items, ) ) diff --git a/spp_api_v2_gis/schemas/processes.py b/spp_api_v2_gis/schemas/processes.py new file mode 100644 index 00000000..b15c0f47 --- /dev/null +++ b/spp_api_v2_gis/schemas/processes.py @@ -0,0 +1,154 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Pydantic schemas for OGC API - Processes endpoints.""" + +from __future__ import annotations + +from pydantic import BaseModel, ConfigDict, Field + +from ..schemas.ogc import OGCLink + + +class ProcessSummary(BaseModel): + """Summary of a single process, used in process list responses.""" + + model_config = ConfigDict(populate_by_name=True) + + id: str = Field(..., description="Process identifier (e.g. 'spatial-statistics')") + title: str = Field(..., description="Human-readable process title") + description: str | None = Field(default=None, description="Process description") + version: str = Field(default="1.0.0", description="Process version") + jobControlOptions: list[str] = Field( # noqa: N815 + ..., + alias="jobControlOptions", + description="Supported job control options (e.g. sync-execute, async-execute, dismiss)", + ) + + +class ProcessDescription(BaseModel): + """Full process description including input and output schemas.""" + + model_config = ConfigDict(populate_by_name=True) + + id: str = Field(..., description="Process identifier (e.g. 'spatial-statistics')") + title: str = Field(..., description="Human-readable process title") + description: str | None = Field(default=None, description="Process description") + version: str = Field(default="1.0.0", description="Process version") + jobControlOptions: list[str] = Field( # noqa: N815 + ..., + alias="jobControlOptions", + description="Supported job control options (e.g. sync-execute, async-execute, dismiss)", + ) + inputs: dict = Field(..., description="Input parameter definitions") + outputs: dict = Field(..., description="Output schema definitions") + + +class ProcessList(BaseModel): + """List of available processes.""" + + processes: list[ProcessSummary] = Field(..., description="Available processes") + + +class ExecuteRequest(BaseModel): + """Request body for POST /processes/{id}/execution.""" + + inputs: dict = Field(..., description="Process input values") + outputs: dict | None = Field(default=None, description="Requested output values") + response: str | None = Field( + default=None, + description="Response type: raw or document", + ) + + +class StatusInfo(BaseModel): + """OGC API job status information.""" + + model_config = ConfigDict(populate_by_name=True) + + jobID: str = Field(..., alias="jobID", description="Unique job identifier") # noqa: N815 + type: str = Field(default="process", description="Resource type") + processID: str | None = Field( # noqa: N815 + default=None, + alias="processID", + description="Identifier of the process that created this job", + ) + status: str = Field( + ..., + description="Job status: accepted, running, successful, failed, or dismissed", + ) + message: str | None = Field(default=None, description="Status message or error detail") + created: str | None = Field(default=None, description="ISO 8601 creation datetime") + started: str | None = Field(default=None, description="ISO 8601 start datetime") + finished: str | None = Field(default=None, description="ISO 8601 finish datetime") + updated: str | None = Field(default=None, description="ISO 8601 last updated datetime") + progress: int | None = Field(default=None, description="Completion percentage (0-100)") + links: list[OGCLink] = Field(default_factory=list, description="Related links") + + +class JobList(BaseModel): + """List of jobs.""" + + jobs: list[StatusInfo] = Field(..., description="Jobs") + + +class SingleStatisticsResult(BaseModel): + """Result of a spatial statistics query for a single geometry.""" + + total_count: int = Field(..., description="Total number of matched records") + query_method: str = Field(..., description="Method used for the spatial query") + areas_matched: int = Field(..., description="Number of geographic areas matched") + statistics: dict = Field(..., description="Computed statistics by indicator") + breakdown: dict | None = Field(default=None, description="Demographic breakdown by dimension") + access_level: str | None = Field(default=None, description="Data access level applied") + from_cache: bool = Field(default=False, description="Whether the result was served from cache") + computed_at: str | None = Field(default=None, description="ISO 8601 datetime of computation") + + +class BatchResultItem(BaseModel): + """Statistics result for a single geometry within a batch request.""" + + id: str = Field(..., description="Geometry identifier from the request") + total_count: int = Field(..., description="Total number of matched records") + query_method: str = Field(..., description="Method used for the spatial query") + areas_matched: int = Field(..., description="Number of geographic areas matched") + statistics: dict = Field(..., description="Computed statistics by indicator") + breakdown: dict | None = Field(default=None, description="Demographic breakdown by dimension") + access_level: str | None = Field(default=None, description="Data access level applied") + from_cache: bool = Field(default=False, description="Whether the result was served from cache") + computed_at: str | None = Field(default=None, description="ISO 8601 datetime of computation") + error: str | None = Field(default=None, description="Error message if this item failed") + + +class BatchSummary(BaseModel): + """Aggregate summary across all geometries in a batch request.""" + + total_count: int = Field(..., description="Total number of matched records across all geometries") + geometries_queried: int = Field(..., description="Number of geometries successfully queried") + geometries_failed: int = Field(default=0, description="Number of geometries that failed") + statistics: dict = Field(..., description="Aggregated statistics across all geometries") + breakdown: dict | None = Field(default=None, description="Demographic breakdown by dimension") + access_level: str | None = Field(default=None, description="Data access level applied") + from_cache: bool = Field(default=False, description="Whether all results were served from cache") + computed_at: str | None = Field(default=None, description="ISO 8601 datetime of computation") + + +class BatchStatisticsResult(BaseModel): + """Result of a spatial statistics query for multiple geometries.""" + + results: list[BatchResultItem] = Field(..., description="Per-geometry results") + summary: BatchSummary = Field(..., description="Aggregate summary across all geometries") + + +class ProximityResult(BaseModel): + """Result of a proximity-based spatial statistics query.""" + + total_count: int = Field(..., description="Total number of matched records") + query_method: str = Field(..., description="Method used for the spatial query") + areas_matched: int = Field(..., description="Number of geographic areas matched") + reference_points_count: int = Field(..., description="Number of reference points used") + radius_km: float = Field(..., description="Search radius in kilometres") + relation: str = Field(..., description="Spatial relation used (e.g. within, intersects)") + statistics: dict = Field(..., description="Computed statistics by indicator") + breakdown: dict | None = Field(default=None, description="Demographic breakdown by dimension") + access_level: str | None = Field(default=None, description="Data access level applied") + from_cache: bool = Field(default=False, description="Whether the result was served from cache") + computed_at: str | None = Field(default=None, description="ISO 8601 datetime of computation") diff --git a/spp_api_v2_gis/schemas/statistics.py b/spp_api_v2_gis/schemas/statistics.py index 5e846da2..7474831e 100644 --- a/spp_api_v2_gis/schemas/statistics.py +++ b/spp_api_v2_gis/schemas/statistics.py @@ -7,8 +7,8 @@ class StatisticInfo(BaseModel): """Information about a single published statistic.""" - name: str = Field(..., description="Technical name (e.g., 'children_under_5')") - label: str = Field(..., description="Display label (e.g., 'Children Under 5')") + name: str = Field(..., description="Technical name (e.g., 'total_households')") + label: str = Field(..., description="Display label (e.g., 'Total Households')") description: str | None = Field(default=None, description="Detailed description") format: str = Field(..., description="Aggregation format (count, sum, avg, percent, ratio, currency)") unit: str | None = Field(default=None, description="Unit of measurement") diff --git a/spp_api_v2_gis/security/ir.model.access.csv b/spp_api_v2_gis/security/ir.model.access.csv index 97dd8b91..6e34be12 100644 --- a/spp_api_v2_gis/security/ir.model.access.csv +++ b/spp_api_v2_gis/security/ir.model.access.csv @@ -1 +1,3 @@ id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink +access_spp_gis_process_job_user,spp.gis.process.job user,model_spp_gis_process_job,base.group_user,1,1,1,0 +access_spp_gis_process_job_admin,spp.gis.process.job admin,model_spp_gis_process_job,base.group_system,1,1,1,1 diff --git a/spp_api_v2_gis/services/__init__.py b/spp_api_v2_gis/services/__init__.py index a09978c4..8304fab1 100644 --- a/spp_api_v2_gis/services/__init__.py +++ b/spp_api_v2_gis/services/__init__.py @@ -3,14 +3,7 @@ from . import export_service from . import layers_service from . import ogc_service +from . import process_execution +from . import process_registry from . import qml_template_service from . import spatial_query_service - -__all__ = [ - "catalog_service", - "export_service", - "layers_service", - "ogc_service", - "qml_template_service", - "spatial_query_service", -] diff --git a/spp_api_v2_gis/services/layers_service.py b/spp_api_v2_gis/services/layers_service.py index ffdf0d9f..ead4797f 100644 --- a/spp_api_v2_gis/services/layers_service.py +++ b/spp_api_v2_gis/services/layers_service.py @@ -379,20 +379,20 @@ def _fetch_layer_features(self, layer, include_geometry, limit=None, offset=0, b geo_value = getattr(record, geo_field_name) if geo_value: try: - # Try parsing as JSON first (GeoJSON format) - geometry = json.loads(geo_value) - feature["geometry"] = geometry - except (json.JSONDecodeError, TypeError): - # Try parsing as WKT - try: - from shapely import wkt - - shape = wkt.loads(geo_value) - feature["geometry"] = shape.__geo_interface__ - except ImportError: - _logger.warning("shapely not available for WKT parsing") - except Exception as e: - _logger.warning("Failed to parse geometry: %s", e) + # GeoField returns Shapely geometry objects + if hasattr(geo_value, "__geo_interface__"): + feature["geometry"] = geo_value.__geo_interface__ + else: + # Fallback for string values (GeoJSON or WKT) + try: + feature["geometry"] = json.loads(geo_value) + except (json.JSONDecodeError, TypeError): + from shapely import wkt + + shape = wkt.loads(geo_value) + feature["geometry"] = shape.__geo_interface__ + except Exception as e: + _logger.warning("Failed to parse geometry: %s", e) features.append(feature) @@ -500,6 +500,14 @@ def _get_report_feature_by_id(self, report_code, feature_id): # Build properties has_data = data.raw_value is not None + + # Look up threshold range for the bucket + sorted_thresholds = report.threshold_ids.sorted("sequence") + threshold_ranges = { + i: (t.min_value, t.max_value) for i, t in enumerate(sorted_thresholds) + } + bucket_range = threshold_ranges.get(data.bucket_index, (None, None)) + properties = { "area_id": data.area_id.id, "area_code": data.area_code, @@ -510,6 +518,13 @@ def _get_report_feature_by_id(self, report_code, feature_id): "normalized_value": data.normalized_value, "display_value": data.display_value if has_data else "No Data", "record_count": data.record_count, + "bucket": { + "index": data.bucket_index, + "color": data.bucket_color, + "label": data.bucket_label, + "min_value": bucket_range[0], + "max_value": bucket_range[1], + }, } # Build geometry @@ -581,15 +596,20 @@ def _get_layer_feature_by_id(self, layer_id, feature_id): geo_value = getattr(record, geo_field_name) if geo_value: try: - geometry = json.loads(geo_value) - except (json.JSONDecodeError, TypeError): - try: - from shapely import wkt + # GeoField returns Shapely geometry objects + if hasattr(geo_value, "__geo_interface__"): + geometry = geo_value.__geo_interface__ + else: + # Fallback for string values (GeoJSON or WKT) + try: + geometry = json.loads(geo_value) + except (json.JSONDecodeError, TypeError): + from shapely import wkt - shape = wkt.loads(geo_value) - geometry = shape.__geo_interface__ - except (ImportError, Exception) as e: - _logger.warning("Failed to parse geometry: %s", e) + shape = wkt.loads(geo_value) + geometry = shape.__geo_interface__ + except Exception as e: + _logger.warning("Failed to parse geometry: %s", e) # nosemgrep: odoo-expose-database-id return { diff --git a/spp_api_v2_gis/services/ogc_service.py b/spp_api_v2_gis/services/ogc_service.py index ea876115..074631e0 100644 --- a/spp_api_v2_gis/services/ogc_service.py +++ b/spp_api_v2_gis/services/ogc_service.py @@ -5,6 +5,7 @@ calls, producing OGC-compliant responses for GovStack GIS BB compliance. """ +import json import logging import re @@ -15,13 +16,28 @@ _logger = logging.getLogger(__name__) -# OGC API - Features conformance classes +# OGC API conformance classes (Features + Processes per OGC API Common Part 2) CONFORMANCE_CLASSES = [ + # OGC API - Features "http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/core", "http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/oas30", "http://www.opengis.net/spec/ogcapi-features-1/1.0/conf/geojson", + # OGC API - Processes + "http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/core", + "http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/ogc-process-description", + "http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/json", + "http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/job-list", + "http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/dismiss", + # OGC API - Features Part 4 (Create/Replace/Delete) + "http://www.opengis.net/spec/ogcapi-features-4/1.0/conf/create-replace-delete", ] +# Geofence collection ID constant +GEOFENCES_COLLECTION_ID = "geofences" + +# Allowed geometry types for geofence creation/update +_ALLOWED_GEOFENCE_GEOMETRY_TYPES = {"Polygon", "MultiPolygon"} + class OGCService: """Adapter service for OGC API - Features. @@ -75,6 +91,12 @@ def get_landing_page(self): "type": "application/json", "title": "Feature collections", }, + { + "href": f"{ogc_base}/processes", + "rel": "http://www.opengis.net/def/rel/ogc/1.0/processes", + "type": "application/json", + "title": "Processes", + }, { "href": f"{self.base_url}/openapi.json", "rel": "service-desc", @@ -122,6 +144,10 @@ def get_collections(self): collection = self._data_layer_to_collection(layer) collections.append(collection) + # Add geofences as a static collection + geofence_collection = self._geofences_to_collection() + collections.append(geofence_collection) + return { "links": [ { @@ -153,6 +179,10 @@ def get_collection(self, collection_id): """ layer_type, layer_id, admin_level = self._parse_collection_id(collection_id) + # Geofences collection + if layer_type == "geofence": + return self._geofences_to_collection() + # Data layer lookup if layer_type == "layer": catalog = self.catalog_service.get_catalog() @@ -180,6 +210,8 @@ def get_collection_items( limit=1000, offset=0, bbox=None, + geofence_type=None, + active=None, ): """Get features from a collection. @@ -193,6 +225,8 @@ def get_collection_items( limit: Maximum features to return (default 1000) offset: Pagination offset bbox: Bounding box filter [west, south, east, north] + geofence_type: Filter by geofence type (geofences collection only) + active: Include archived geofences (geofences collection only) Returns: dict: GeoJSON FeatureCollection with OGC pagination links @@ -202,6 +236,16 @@ def get_collection_items( """ layer_type, layer_id, admin_level = self._parse_collection_id(collection_id) + # Geofence collection: handle separately + if layer_type == "geofence": + return self._get_geofence_items( + limit=limit, + offset=offset, + bbox=bbox, + geofence_type=geofence_type, + active=active, + ) + # For bare report codes, default to base_area_level if layer_type == "report" and admin_level is None: admin_level = self._get_report_base_level(layer_id) @@ -300,6 +344,10 @@ def get_collection_item(self, collection_id, feature_id): """ layer_type, layer_id, _admin_level = self._parse_collection_id(collection_id) + # Geofence: look up by UUID + if layer_type == "geofence": + return self._get_geofence_item(feature_id) + feature = self.layers_service.get_feature_by_id( layer_id=layer_id, feature_id=feature_id, @@ -434,7 +482,7 @@ def _data_layer_to_collection(self, layer): } ) - return { + collection = { "id": collection_id, "title": layer["name"], "description": f"Data layer from {layer.get('source_model', 'unknown')}", @@ -443,6 +491,55 @@ def _data_layer_to_collection(self, layer): "links": links, } + bbox = self._compute_data_layer_bbox(layer["id"]) + if bbox: + collection["extent"] = { + "spatial": { + "bbox": [bbox], + "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", + }, + } + + return collection + + def _compute_data_layer_bbox(self, layer_id): + """Compute spatial bounding box for a data layer via PostGIS. + + Args: + layer_id: Data layer database ID + + Returns: + list: [west, south, east, north] or None if no geometry + """ + try: + # nosemgrep: odoo-sudo-without-context + Layer = self.env["spp.gis.data.layer"].sudo() + layer = Layer.browse(int(layer_id)) + if not layer.exists() or not layer.geo_field_id or not layer.model_name: + return None + + table_name = self.env[layer.model_name]._table + column_name = layer.geo_field_id.name + + # Use parameterized identifiers via format (safe: values come from model metadata) + self.env.cr.execute( + f""" + SELECT + ST_XMin(ST_Extent({column_name})), + ST_YMin(ST_Extent({column_name})), + ST_XMax(ST_Extent({column_name})), + ST_YMax(ST_Extent({column_name})) + FROM {table_name} + WHERE {column_name} IS NOT NULL + """, + ) + row = self.env.cr.fetchone() + if row and row[0] is not None: + return [row[0], row[1], row[2], row[3]] + except Exception as e: + _logger.warning("Failed to compute bbox for data layer %s: %s", layer_id, e) + return None + def _compute_report_bbox(self, report_code): """Compute spatial bounding box for a report's areas via PostGIS. @@ -478,6 +575,7 @@ def _parse_collection_id(self, collection_id): """Parse collection ID into layer type, layer ID, and admin level. Supported formats: + - "geofences" → ("geofence", None, None) - "layer_{id}" → ("layer", "{id}", None) - "{code}_adm{N}" → ("report", "{code}", N) - "{code}" → ("report", "{code}", None) @@ -488,6 +586,9 @@ def _parse_collection_id(self, collection_id): Returns: tuple: (layer_type, layer_id, admin_level) """ + if collection_id == GEOFENCES_COLLECTION_ID: + return "geofence", None, None + if collection_id.startswith("layer_"): return "layer", collection_id[6:], None @@ -497,6 +598,439 @@ def _parse_collection_id(self, collection_id): return "report", collection_id, None + # --- Geofence collection methods --- + + def _geofences_to_collection(self): + """Build OGC collection metadata for geofences. + + Returns: + dict: OGC CollectionInfo for geofences + """ + ogc_base = f"{self.base_url}/gis/ogc" + collection = { + "id": GEOFENCES_COLLECTION_ID, + "title": "Geofences", + "description": "User-defined geographic areas of interest", + "itemType": "feature", + "crs": ["http://www.opengis.net/def/crs/OGC/1.3/CRS84"], + "links": [ + { + "href": f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}", + "rel": "self", + "type": "application/json", + "title": "Collection metadata", + }, + { + "href": f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}/items", + "rel": "items", + "type": "application/geo+json", + "title": "Feature items", + }, + ], + } + + # Advertise geometry type so QGIS recognizes this as a spatial layer + # even when the collection is empty + collection["storageCrs"] = "http://www.opengis.net/def/crs/OGC/1.3/CRS84" + collection["geometryDimension"] = 2 + + bbox = self._compute_geofence_bbox() + if bbox: + collection["extent"] = { + "spatial": { + "bbox": [bbox], + "crs": "http://www.opengis.net/def/crs/OGC/1.3/CRS84", + }, + } + + return collection + + def _compute_geofence_bbox(self): + """Compute spatial bounding box from all active geofence geometries. + + Returns: + list: [west, south, east, north] or None if no geometries + """ + try: + self.env.cr.execute( + """ + SELECT + ST_XMin(ST_Extent(geometry::geometry)), + ST_YMin(ST_Extent(geometry::geometry)), + ST_XMax(ST_Extent(geometry::geometry)), + ST_YMax(ST_Extent(geometry::geometry)) + FROM spp_gis_geofence + WHERE active = TRUE AND geometry IS NOT NULL + """ + ) + row = self.env.cr.fetchone() + if row and row[0] is not None: + return [row[0], row[1], row[2], row[3]] + except Exception as e: + _logger.warning("Failed to compute bbox for geofences: %s", e) + return None + + def _get_geofence_items(self, limit=1000, offset=0, bbox=None, geofence_type=None, active=None): + """Get geofence features as a GeoJSON FeatureCollection. + + Args: + limit: Maximum features to return + offset: Pagination offset + bbox: Bounding box filter [west, south, east, north] + geofence_type: Filter by geofence type + active: Include archived (default: only active) + + Returns: + dict: GeoJSON FeatureCollection with OGC pagination + """ + # nosemgrep: odoo-sudo-without-context + Geofence = self.env["spp.gis.geofence"].sudo() + + domain = [] + if active is not None: + domain.append(("active", "=", active)) + else: + domain.append(("active", "=", True)) + + if geofence_type: + domain.append(("geofence_type", "=", geofence_type)) + + if bbox: + bbox_geojson = self.layers_service._bbox_to_geojson(bbox) + domain.append(("geometry", "gis_intersects", bbox_geojson)) + + total_count = Geofence.search_count(domain) + geofences = Geofence.search(domain, limit=limit, offset=offset, order="name") + + # Prefetch related fields to avoid N+1 queries + geofences.mapped("tag_ids.name") + geofences.mapped("create_uid.name") + + features = [rec.to_geojson() for rec in geofences] + + # Build OGC response with pagination links + ogc_base = f"{self.base_url}/gis/ogc" + items_url = f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}/items" + + links = [ + { + "href": f"{items_url}?limit={limit}&offset={offset}", + "rel": "self", + "type": "application/geo+json", + "title": "This page", + }, + { + "href": f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}", + "rel": "collection", + "type": "application/json", + "title": "Collection metadata", + }, + ] + + if offset + limit < total_count: + links.append( + { + "href": f"{items_url}?limit={limit}&offset={offset + limit}", + "rel": "next", + "type": "application/geo+json", + "title": "Next page", + } + ) + + if offset > 0: + links.append( + { + "href": f"{items_url}?limit={limit}&offset={max(0, offset - limit)}", + "rel": "prev", + "type": "application/geo+json", + "title": "Previous page", + } + ) + + return { + "type": "FeatureCollection", + "features": features, + "links": links, + "numberMatched": total_count, + "numberReturned": len(features), + } + + def _get_geofence_item(self, feature_id): + """Get a single geofence by UUID. + + Args: + feature_id: Geofence UUID + + Returns: + dict: GeoJSON Feature with OGC links + + Raises: + MissingError: If geofence not found or inactive + """ + # nosemgrep: odoo-sudo-without-context + geofence = ( + self.env["spp.gis.geofence"].sudo().search([("uuid", "=", feature_id), ("active", "=", True)], limit=1) + ) + if not geofence: + raise MissingError(f"Feature {feature_id} not found in collection geofences") + + feature = geofence.to_geojson() + + # Add OGC links + ogc_base = f"{self.base_url}/gis/ogc" + feature.setdefault("links", []) + feature["links"].append( + { + "href": f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}/items/{feature_id}", + "rel": "self", + "type": "application/geo+json", + } + ) + feature["links"].append( + { + "href": f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}", + "rel": "collection", + "type": "application/json", + } + ) + return feature + + # --- Geofence write methods (OGC Features Part 4) --- + + def _validate_geofence_input(self, feature_input): + """Validate and extract fields from a GeoJSON Feature for geofence create/replace. + + Args: + feature_input: GeoJSON Feature dict + + Returns: + tuple: (geometry_dict, properties_dict, name, geofence_type) + + Raises: + ValueError: If validation fails + """ + geometry = feature_input.get("geometry") + properties = feature_input.get("properties", {}) + + if not geometry: + raise ValueError("Geometry is required") + geom_type = geometry.get("type", "") + if geom_type not in _ALLOWED_GEOFENCE_GEOMETRY_TYPES: + raise ValueError(f"Geometry type '{geom_type}' is not allowed. Must be Polygon or MultiPolygon.") + + name = properties.get("name") + if not name: + raise ValueError("Property 'name' is required") + + geofence_type = properties.get("geofence_type", "custom") + self._validate_geofence_type(geofence_type) + + return geometry, properties, name, geofence_type + + def create_geofence_feature(self, feature_input): + """Create a geofence from a GeoJSON Feature. + + Args: + feature_input: GeoJSON Feature dict with geometry and properties + + Returns: + dict: {"feature": GeoJSON Feature, "location": URL string} + + Raises: + ValueError: If input validation fails + """ + geometry, properties, name, geofence_type = self._validate_geofence_input(feature_input) + + # Build create vals + vals = { + "name": name, + "geometry": json.dumps(geometry), + "geofence_type": geofence_type, + "created_from": "api", + } + + if properties.get("description"): + vals["description"] = properties["description"] + + # Resolve tags + if properties.get("tags"): + vals["tag_ids"] = self._resolve_geofence_tags(properties["tags"]) + + # Resolve incident_code + if properties.get("incident_code"): + vals["incident_id"] = self._resolve_incident_code(properties["incident_code"]) + + # nosemgrep: odoo-sudo-without-context + geofence = self.env["spp.gis.geofence"].sudo().create(vals) + + feature = geofence.to_geojson() + ogc_base = f"{self.base_url}/gis/ogc" + location = f"{ogc_base}/collections/{GEOFENCES_COLLECTION_ID}/items/{geofence.uuid}" + + return {"feature": feature, "location": location} + + def replace_geofence_feature(self, feature_id, feature_input): + """Replace a geofence (PUT semantics: full replacement). + + Args: + feature_id: Geofence UUID + feature_input: GeoJSON Feature dict + + Returns: + dict: Updated GeoJSON Feature + + Raises: + MissingError: If geofence not found + ValueError: If input validation fails + """ + # nosemgrep: odoo-sudo-without-context + geofence = ( + self.env["spp.gis.geofence"].sudo().search([("uuid", "=", feature_id), ("active", "=", True)], limit=1) + ) + if not geofence: + raise MissingError(f"Feature {feature_id} not found in collection geofences") + + geometry, properties, name, geofence_type = self._validate_geofence_input(feature_input) + + # Build write vals (full replacement) + vals = { + "name": name, + "geometry": json.dumps(geometry), + "geofence_type": geofence_type, + "description": properties.get("description", False), + } + + # Resolve tags (replace all) + if "tags" in properties: + vals["tag_ids"] = self._resolve_geofence_tags(properties["tags"]) + else: + # PUT is full replacement: clear tags if not provided + from odoo import Command + + vals["tag_ids"] = [Command.clear()] + + # Resolve incident_code + if properties.get("incident_code"): + vals["incident_id"] = self._resolve_incident_code(properties["incident_code"]) + else: + vals["incident_id"] = False + + geofence.write(vals) + + return geofence.to_geojson() + + def delete_geofence_feature(self, feature_id): + """Soft delete a geofence (set active=False). + + Args: + feature_id: Geofence UUID + + Raises: + MissingError: If geofence not found + ValueError: If geofence is referenced by a program + """ + # nosemgrep: odoo-sudo-without-context + geofence = ( + self.env["spp.gis.geofence"].sudo().search([("uuid", "=", feature_id), ("active", "=", True)], limit=1) + ) + if not geofence: + raise MissingError(f"Feature {feature_id} not found in collection geofences") + + self._check_geofence_not_referenced(geofence) + geofence.write({"active": False}) + + def _check_geofence_not_referenced(self, geofence): + """Block deletion if the geofence is linked to any program. + + Checks both active and inactive programs since geofences serve as + historical records of a program's geographic scope. + + Args: + geofence: spp.gis.geofence record + + Raises: + ValueError: If geofence is referenced by one or more programs + """ + if "spp.program" not in self.env or "geofence_ids" not in self.env["spp.program"]._fields: + return + # nosemgrep: odoo-sudo-without-context + programs = ( + self.env["spp.program"] + .sudo() + .with_context(active_test=False) + .search([("geofence_ids", "in", geofence.ids)], limit=5) + ) + if programs: + names = ", ".join(programs.mapped("name")[:5]) + raise ValueError(f"Cannot delete geofence: referenced by program(s): {names}") + + def _validate_geofence_type(self, geofence_type): + """Validate geofence_type against available selection values. + + Args: + geofence_type: Type string to validate + + Raises: + ValueError: If type is not valid, with message listing valid options + """ + # nosemgrep: odoo-sudo-without-context + field = self.env["spp.gis.geofence"].sudo()._fields["geofence_type"] + valid_values = [key for key, _label in field.selection] + if geofence_type not in valid_values: + raise ValueError(f"Invalid geofence_type '{geofence_type}'. Valid options: {', '.join(valid_values)}") + + def _resolve_geofence_tags(self, tag_names): + """Resolve tag names to Many2many write commands (search-or-create). + + Batch-searches existing tags first to avoid N+1 queries. + + Args: + tag_names: List of tag name strings + + Returns: + list: Odoo Command list for tag_ids field + """ + from odoo import Command + + if not tag_names: + return [Command.clear()] + + # nosemgrep: odoo-sudo-without-context + Tag = self.env["spp.gis.geofence.tag"].sudo() + + # Batch search: one query for all existing tags + existing = Tag.search([("name", "in", tag_names)]) + existing_by_name = {t.name: t.id for t in existing} + + # Create only the missing tags + tag_ids = [] + for name in tag_names: + if name in existing_by_name: + tag_ids.append(existing_by_name[name]) + else: + new_tag = Tag.create({"name": name}) + tag_ids.append(new_tag.id) + + return [Command.set(tag_ids)] + + def _resolve_incident_code(self, incident_code): + """Resolve incident code to incident record ID. + + Args: + incident_code: Hazard incident code string + + Returns: + int: Incident record ID + + Raises: + ValueError: If incident not found + """ + # nosemgrep: odoo-sudo-without-context + incident = self.env["spp.hazard.incident"].sudo().search([("code", "=", incident_code)], limit=1) + if not incident: + raise ValueError(f"Incident with code '{incident_code}' not found") + return incident.id + def _get_report_base_level(self, report_code): """Look up the base_area_level for a report by code. diff --git a/spp_api_v2_gis/services/process_execution.py b/spp_api_v2_gis/services/process_execution.py new file mode 100644 index 00000000..117cf415 --- /dev/null +++ b/spp_api_v2_gis/services/process_execution.py @@ -0,0 +1,81 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Process execution logic shared between sync (router) and async (model) paths.""" + +import logging + +_logger = logging.getLogger(__name__) + + +def run_spatial_statistics(service, inputs, on_progress=None): + """Run spatial-statistics process and return results. + + Args: + service: SpatialQueryService instance + inputs: Validated process inputs dict + on_progress: Optional callback(completed_count) for batch progress tracking + + Returns: + dict: Statistics results (registrant_ids stripped) + """ + geometry = inputs.get("geometry") + filters = inputs.get("filters") + variables = inputs.get("variables") + group_by = inputs.get("group_by") + population_filter = inputs.get("population_filter") + + _logger.info( + "run_spatial_statistics: variables=%r, filters=%r, geometry_type=%s", + variables, + filters, + type(geometry).__name__, + ) + + if isinstance(geometry, list): + # Batch mode: geometry is a list of {id, value} dicts + geometries = [{"id": g["id"], "geometry": g["value"]} for g in geometry] + result = service.query_statistics_batch( + geometries=geometries, + filters=filters, + variables=variables, + group_by=group_by, + on_progress=on_progress, + population_filter=population_filter, + ) + for item in result.get("results", []): + item.pop("registrant_ids", None) + return result + + # Single geometry mode + result = service.query_statistics( + geometry=geometry, + filters=filters, + variables=variables, + group_by=group_by, + population_filter=population_filter, + ) + result.pop("registrant_ids", None) + return result + + +def run_proximity_statistics(service, inputs): + """Run proximity-statistics process and return results. + + Args: + service: SpatialQueryService instance + inputs: Validated process inputs dict + + Returns: + dict: Proximity statistics results (registrant_ids stripped) + """ + population_filter = inputs.get("population_filter") + result = service.query_proximity( + reference_points=inputs["reference_points"], + radius_km=inputs["radius_km"], + relation=inputs.get("relation", "within"), + filters=inputs.get("filters"), + variables=inputs.get("variables"), + group_by=inputs.get("group_by"), + population_filter=population_filter, + ) + result.pop("registrant_ids", None) + return result diff --git a/spp_api_v2_gis/services/process_registry.py b/spp_api_v2_gis/services/process_registry.py new file mode 100644 index 00000000..107eece8 --- /dev/null +++ b/spp_api_v2_gis/services/process_registry.py @@ -0,0 +1,377 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Process registry for OGC API - Processes. + +Provides process definitions for spatial-statistics and proximity-statistics, +dynamically generating input schemas from spp.statistic records. +""" + +import logging + +_logger = logging.getLogger(__name__) + +# Process IDs +SPATIAL_STATISTICS = "spatial-statistics" +PROXIMITY_STATISTICS = "proximity-statistics" + +VALID_PROCESS_IDS = {SPATIAL_STATISTICS, PROXIMITY_STATISTICS} + +# Maximum geometries allowed per batch request +MAX_BATCH_GEOMETRIES = 100 + +# Default maximum reference points for proximity queries. +# Configurable via ir.config_parameter key "spp_gis.max_proximity_points". +DEFAULT_MAX_PROXIMITY_POINTS = 50000 + + +class ProcessRegistry: + """Registry of available OGC processes. + + Generates process descriptions dynamically from spp.statistic records, + so that available statistics are always in sync with the database. + """ + + def __init__(self, env): + self.env = env + + def list_processes(self): + """Return summary list of all available processes.""" + return [ + { + "id": SPATIAL_STATISTICS, + "title": "Spatial Statistics", + "description": "Compute aggregate registrant statistics within arbitrary polygons using PostGIS.", + "version": "1.0.0", + "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], + }, + { + "id": PROXIMITY_STATISTICS, + "title": "Proximity Statistics", + "description": ( + "Compute aggregate registrant statistics within or beyond a given radius from reference points." + ), + "version": "1.0.0", + "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], + }, + ] + + def get_process(self, process_id): + """Return full process description including input/output schemas. + + Returns None if process_id is not recognized. + """ + if process_id == SPATIAL_STATISTICS: + return self._build_spatial_statistics_description() + if process_id == PROXIMITY_STATISTICS: + return self._build_proximity_statistics_description() + return None + + def get_statistics_metadata(self): + """Get statistics metadata organized by category. + + Used by both process descriptions (for x-openspp-statistics extension) + and the GET /gis/statistics endpoint. + + Returns: + tuple: (variable_names, categories_metadata) + - variable_names: list of str (statistic names for enum) + - categories_metadata: list of dicts with category info + """ + # nosemgrep: odoo-sudo-without-context + Statistic = self.env["spp.statistic"].sudo() + stats_by_category = Statistic.get_published_by_category("gis") + + variable_names = [] + categories = [] + + for category_code, stat_records in stats_by_category.items(): + category_record = stat_records[0].category_id if stat_records else None + + stat_items = [] + for stat in stat_records: + config = stat.get_context_config("gis") + variable_names.append(stat.name) + stat_items.append( + { + "name": stat.name, + "label": config.get("label", stat.label), + "description": stat.description, + "format": config.get("format", stat.format), + "unit": stat.unit, + } + ) + + categories.append( + { + "code": category_code, + "name": category_record.name if category_record else category_code.replace("_", " ").title(), + "icon": getattr(category_record, "icon", None) if category_record else None, + "statistics": stat_items, + } + ) + + return variable_names, categories + + def _build_group_by_input(self): + """Build the group_by input definition with dynamic enum from active dimensions.""" + # nosemgrep: odoo-sudo-without-context + Dimension = self.env["spp.demographic.dimension"].sudo() + active_dimensions = Dimension.search([("active", "=", True)]) + + dimension_names = [dim.name for dim in active_dimensions] + dimension_metadata = [{"name": dim.name, "label": dim.label} for dim in active_dimensions] + + group_by_input = { + "title": "Disaggregation Dimensions", + "description": "Dimension names to break down results by. Maximum 3.", + "minOccurs": 0, + "schema": { + "type": "array", + "items": {"type": "string"}, + "maxItems": 3, + }, + } + + if dimension_names: + group_by_input["schema"]["items"]["enum"] = dimension_names + + if dimension_metadata: + group_by_input["x-openspp-dimensions"] = dimension_metadata + + return group_by_input + + def _build_population_filter_input(self): + """Build population_filter input with dynamic enum from programs and expressions.""" + # TODO: Replace program ID with code field (see gis-analytics-enrichment.md Task 1) + # nosemgrep: odoo-sudo-without-context + Program = self.env["spp.program"].sudo() + programs = Program.search([]) + program_ids = [p.id for p in programs] + program_metadata = [{"id": p.id, "name": p.name} for p in programs] + + # nosemgrep: odoo-sudo-without-context + Expression = self.env["spp.cel.expression"].sudo() + expressions = Expression.search( + [ + ("expression_type", "=", "filter"), + ("code", "!=", False), + ] + ) + expression_codes = [e.code for e in expressions] + expression_metadata = [{"code": e.code, "name": e.name, "context_type": e.context_type} for e in expressions] + + population_filter = { + "title": "Population Filter", + "description": ( + "Filter registrants by program enrollment and/or eligibility criteria. " + "Use 'gap' mode to find eligible but not enrolled registrants." + ), + "minOccurs": 0, + "schema": { + "type": "object", + "properties": { + "program": { + # TODO: Replace with string type + code enum once spp.program has a code field + "type": "integer", + "description": "Program ID to filter by enrollment.", + }, + "cel_expression": { + "type": "string", + "description": "CEL expression code to filter by criteria.", + }, + "mode": { + "type": "string", + "enum": ["and", "or", "gap"], + "default": "and", + "description": ( + "'and': both filters, 'or': either filter, 'gap': matches CEL but NOT enrolled in program." + ), + }, + }, + }, + } + + if program_ids: + population_filter["schema"]["properties"]["program"]["enum"] = program_ids + if expression_codes: + population_filter["schema"]["properties"]["cel_expression"]["enum"] = expression_codes + if program_metadata: + population_filter["x-openspp-programs"] = program_metadata + if expression_metadata: + population_filter["x-openspp-expressions"] = expression_metadata + + return population_filter + + def _build_variables_input(self): + """Build the variables input definition with dynamic enum and x-openspp-statistics.""" + variable_names, categories = self.get_statistics_metadata() + + variables_input = { + "title": "Statistics Variables", + "description": "Names of statistics to compute. Omit for all GIS-published statistics.", + "minOccurs": 0, + "schema": { + "type": "array", + "items": {"type": "string"}, + }, + } + + # Add enum if we have published indicators + if variable_names: + variables_input["schema"]["items"]["enum"] = variable_names + + # Add x-openspp-statistics extension for rich UI metadata + if categories: + variables_input["x-openspp-statistics"] = {"categories": categories} + + return variables_input + + def _build_spatial_statistics_description(self): + """Build full process description for spatial-statistics.""" + return { + "id": SPATIAL_STATISTICS, + "title": "Spatial Statistics", + "description": ( + "Compute aggregate registrant statistics within arbitrary polygons " + "using PostGIS. Accepts a single geometry or multiple geometries for " + "batch processing." + ), + "version": "1.0.0", + "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], + "x-openspp-batch-limit": MAX_BATCH_GEOMETRIES, + "inputs": { + "geometry": { + "title": "Query Geometry", + "description": ( + f"GeoJSON Polygon or MultiPolygon. Provide one for a single query, " + f"or an array of {{id, value}} objects for batch processing. " + f"Maximum {MAX_BATCH_GEOMETRIES} geometries." + ), + "minOccurs": 1, + "maxOccurs": MAX_BATCH_GEOMETRIES, + "schema": { + "oneOf": [ + {"format": "geojson-geometry"}, + { + "type": "object", + "properties": { + "id": {"type": "string"}, + "value": {"format": "geojson-geometry"}, + }, + "required": ["id", "value"], + }, + ], + }, + }, + "variables": self._build_variables_input(), + "group_by": self._build_group_by_input(), + "filters": { + "title": "Registrant Filters", + "description": "Additional filters (e.g., is_group, disabled).", + "minOccurs": 0, + "schema": {"type": "object"}, + }, + "population_filter": self._build_population_filter_input(), + }, + "outputs": { + "result": { + "title": "Statistics Result", + "schema": { + "oneOf": [ + { + "type": "object", + "description": "Single geometry result", + "properties": { + "total_count": {"type": "integer"}, + "query_method": {"type": "string"}, + "areas_matched": {"type": "integer"}, + "statistics": {"type": "object"}, + "access_level": {"type": "string"}, + "computed_at": {"type": "string", "format": "date-time"}, + }, + "required": ["total_count", "query_method", "areas_matched", "statistics"], + }, + { + "type": "object", + "description": "Batch result (when multiple geometries provided)", + "properties": { + "results": {"type": "array"}, + "summary": {"type": "object"}, + }, + "required": ["results", "summary"], + }, + ], + }, + }, + }, + } + + def _build_proximity_statistics_description(self): + """Build full process description for proximity-statistics.""" + return { + "id": PROXIMITY_STATISTICS, + "title": "Proximity Statistics", + "description": ( + "Compute aggregate registrant statistics within or beyond a given " + "radius from reference points (e.g., health centers, schools)." + ), + "version": "1.0.0", + "jobControlOptions": ["sync-execute", "async-execute", "dismiss"], + "inputs": { + "reference_points": { + "title": "Reference Points", + "description": ( + f"Locations to measure proximity from. Maximum {DEFAULT_MAX_PROXIMITY_POINTS:,} points." + ), + "minOccurs": 1, + "maxOccurs": DEFAULT_MAX_PROXIMITY_POINTS, + "x-openspp-batch-limit": DEFAULT_MAX_PROXIMITY_POINTS, + "schema": { + "type": "object", + "properties": { + "longitude": {"type": "number", "minimum": -180, "maximum": 180}, + "latitude": {"type": "number", "minimum": -90, "maximum": 90}, + }, + "required": ["longitude", "latitude"], + }, + }, + "radius_km": { + "title": "Search Radius", + "description": "Search radius in kilometers.", + "schema": {"type": "number", "exclusiveMinimum": 0, "maximum": 500}, + }, + "relation": { + "title": "Spatial Relation", + "description": "'within' returns registrants inside the radius; 'beyond' returns those outside.", + "minOccurs": 0, + "schema": {"type": "string", "enum": ["within", "beyond"], "default": "within"}, + }, + "variables": self._build_variables_input(), + "group_by": self._build_group_by_input(), + "filters": { + "title": "Registrant Filters", + "minOccurs": 0, + "schema": {"type": "object"}, + }, + "population_filter": self._build_population_filter_input(), + }, + "outputs": { + "result": { + "title": "Proximity Statistics Result", + "schema": { + "type": "object", + "properties": { + "total_count": {"type": "integer"}, + "query_method": {"type": "string"}, + "areas_matched": {"type": "integer"}, + "reference_points_count": {"type": "integer"}, + "radius_km": {"type": "number"}, + "relation": {"type": "string"}, + "statistics": {"type": "object"}, + "access_level": {"type": "string"}, + "computed_at": {"type": "string", "format": "date-time"}, + }, + "required": ["total_count", "query_method", "areas_matched", "statistics"], + }, + }, + }, + } diff --git a/spp_api_v2_gis/services/spatial_query_service.py b/spp_api_v2_gis/services/spatial_query_service.py index a538f9bf..e91e9a23 100644 --- a/spp_api_v2_gis/services/spatial_query_service.py +++ b/spp_api_v2_gis/services/spatial_query_service.py @@ -3,6 +3,7 @@ import json import logging +from datetime import UTC, datetime from odoo.addons.spp_aggregation.services import build_explicit_scope @@ -30,7 +31,15 @@ def __init__(self, env): """ self.env = env - def query_statistics_batch(self, geometries, filters=None, variables=None): + def query_statistics_batch( + self, + geometries, + filters=None, + variables=None, + group_by=None, + on_progress=None, + population_filter=None, + ): """Execute spatial query for multiple geometries. Queries each geometry individually and computes an aggregate summary. @@ -39,6 +48,7 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): geometries: List of dicts with 'id' and 'geometry' keys filters: Additional filters for registrants (dict) variables: List of statistic names to compute + on_progress: Optional callback(completed_count) called after each geometry Returns: dict: Batch results with per-geometry results and summary @@ -47,6 +57,7 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): """ results = [] all_registrant_ids = set() + geometries_failed = 0 for item in geometries: geometry_id = item["id"] @@ -57,6 +68,8 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): geometry=geometry, filters=filters, variables=variables, + group_by=group_by, + population_filter=population_filter, ) # Collect registrant IDs for deduplication in summary registrant_ids = result.pop("registrant_ids", []) @@ -69,6 +82,7 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): "query_method": result["query_method"], "areas_matched": result["areas_matched"], "statistics": result["statistics"], + "breakdown": result.get("breakdown"), "access_level": result.get("access_level"), "from_cache": result.get("from_cache", False), "computed_at": result.get("computed_at"), @@ -76,6 +90,7 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): ) except Exception as e: _logger.warning("Batch query failed for geometry '%s': %s", geometry_id, e) + geometries_failed += 1 results.append( { "id": geometry_id, @@ -83,21 +98,29 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): "query_method": "error", "areas_matched": 0, "statistics": {}, + "breakdown": None, "access_level": None, "from_cache": False, "computed_at": None, } ) + if on_progress: + on_progress(len(results)) + # Compute summary by aggregating unique registrants with metadata summary_stats_with_metadata = {"statistics": {}} if all_registrant_ids: - summary_stats_with_metadata = self._compute_statistics(list(all_registrant_ids), variables or []) + summary_stats_with_metadata = self._compute_statistics( + list(all_registrant_ids), variables or [], group_by=group_by + ) summary = { "total_count": len(all_registrant_ids), "geometries_queried": len(geometries), + "geometries_failed": geometries_failed, "statistics": summary_stats_with_metadata.get("statistics", {}), + "breakdown": summary_stats_with_metadata.get("breakdown"), "access_level": summary_stats_with_metadata.get("access_level"), "from_cache": summary_stats_with_metadata.get("from_cache", False), "computed_at": summary_stats_with_metadata.get("computed_at"), @@ -108,7 +131,7 @@ def query_statistics_batch(self, geometries, filters=None, variables=None): "summary": summary, } - def query_statistics(self, geometry, filters=None, variables=None): + def query_statistics(self, geometry, filters=None, variables=None, group_by=None, population_filter=None): """Execute spatial query for statistics within polygon. Args: @@ -134,14 +157,14 @@ def query_statistics(self, geometry, filters=None, variables=None): # Try coordinate-based query first (preferred method) try: - result = self._query_by_coordinates(geometry_json, filters) + result = self._query_by_coordinates(geometry_json, filters, population_filter=population_filter) if result["total_count"] > 0: _logger.info( "Spatial query using coordinates: %s registrants found", result["total_count"], ) # Compute statistics for the matched registrants with metadata - stats_with_metadata = self._compute_statistics(result["registrant_ids"], variables) + stats_with_metadata = self._compute_statistics(result["registrant_ids"], variables, group_by=group_by) result.update(stats_with_metadata) return result except Exception as e: @@ -151,18 +174,18 @@ def query_statistics(self, geometry, filters=None, variables=None): ) # Fall back to area-based query - result = self._query_by_area(geometry_json, filters) + result = self._query_by_area(geometry_json, filters, population_filter=population_filter) _logger.info( f"Spatial query using area fallback: {result['total_count']} registrants in {result['areas_matched']} areas" ) # Compute statistics for the matched registrants with metadata - stats_with_metadata = self._compute_statistics(result["registrant_ids"], variables) + stats_with_metadata = self._compute_statistics(result["registrant_ids"], variables, group_by=group_by) result.update(stats_with_metadata) return result - def _query_by_coordinates(self, geometry_json, filters): + def _query_by_coordinates(self, geometry_json, filters, population_filter=None): """Query registrants by coordinates using ST_Intersects. This is the preferred method when registrants have coordinate data. @@ -176,11 +199,11 @@ def _query_by_coordinates(self, geometry_json, filters): """ # Build WHERE clause from filters where_clauses = ["p.is_registrant = true"] - params = [geometry_json] + filter_params = [] if filters.get("is_group") is not None: where_clauses.append("p.is_group = %s") - params.append(filters["is_group"]) + filter_params.append(filters["is_group"]) if filters.get("disabled") is not None: if filters["disabled"]: @@ -190,6 +213,8 @@ def _query_by_coordinates(self, geometry_json, filters): where_clause = " AND ".join(where_clauses) + pop_where, pop_params = self._build_population_filter_sql(population_filter) + # Query using ST_Intersects with coordinates # Note: This assumes res.partner has a 'coordinates' GeoPointField # For now, we'll check if the field exists, otherwise return empty result @@ -206,11 +231,11 @@ def _query_by_coordinates(self, geometry_json, filters): AND ST_Intersects( p.coordinates, ST_SetSRID(ST_GeomFromGeoJSON(%s), 4326) - ) + ){pop_where} """ # nosec B608 - SQL clauses built from hardcoded fragments, data uses %s params - # Add geometry parameter at the beginning - params = [geometry_json] + params[1:] + # Params ordered to match SQL: filter params, geometry, population filter + params = filter_params + [geometry_json] + pop_params self.env.cr.execute(query, params) registrant_ids = [row[0] for row in self.env.cr.fetchall()] @@ -222,7 +247,7 @@ def _query_by_coordinates(self, geometry_json, filters): "registrant_ids": registrant_ids, } - def _query_by_area(self, geometry_json, filters): + def _query_by_area(self, geometry_json, filters, population_filter=None): """Query registrants by area intersection (fallback method). This method finds areas that intersect the query polygon, @@ -277,6 +302,10 @@ def _query_by_area(self, geometry_json, filters): extra_where = (" AND " + " AND ".join(extra_clauses)) if extra_clauses else "" + pop_where, pop_params = self._build_population_filter_sql(population_filter) + extra_where += pop_where + extra_params += pop_params + # Query registrants: those directly in matched areas PLUS # individuals whose group (household) is in a matched area. # Individuals often lack area_id; they inherit it from their group. @@ -312,12 +341,13 @@ def _query_by_area(self, geometry_json, filters): "registrant_ids": registrant_ids, } - def _compute_statistics(self, registrant_ids, variables): + def _compute_statistics(self, registrant_ids, variables, group_by=None): """Compute statistics using the unified aggregation engine only. Args: registrant_ids: List of registrant IDs variables: List of statistic names to compute + group_by: Optional list of dimension names for demographic breakdown Returns: dict: Statistics with metadata (statistics, access_level, from_cache, computed_at) @@ -327,15 +357,15 @@ def _compute_statistics(self, registrant_ids, variables): "statistics": self._get_empty_statistics(), "access_level": None, "from_cache": False, - "computed_at": None, + "computed_at": datetime.now(UTC).isoformat(), } if "spp.aggregation.service" not in self.env: raise RuntimeError("spp.aggregation.service is required for GIS statistics queries.") - return self._compute_via_aggregation_service(registrant_ids, variables) + return self._compute_via_aggregation_service(registrant_ids, variables, group_by=group_by) - def _compute_via_aggregation_service(self, registrant_ids, variables): + def _compute_via_aggregation_service(self, registrant_ids, variables, group_by=None): """Compute statistics using AggregationService. Delegates to the unified aggregation service for statistics computation @@ -344,6 +374,7 @@ def _compute_via_aggregation_service(self, registrant_ids, variables): Args: registrant_ids: List of registrant IDs variables: List of statistic names to compute (or None for GIS defaults) + group_by: Optional list of dimension names for demographic breakdown Returns: dict: Statistics with metadata (statistics, access_level, from_cache, computed_at) @@ -362,13 +393,19 @@ def _compute_via_aggregation_service(self, registrant_ids, variables): Statistic = self.env["spp.statistic"].sudo() gis_stats = Statistic.get_published_for_context("gis") statistics_to_compute = [stat.name for stat in gis_stats] if gis_stats else None + _logger.info( + "No variables requested, falling back to GIS-published: %r", + statistics_to_compute, + ) + else: + _logger.info("Computing requested variables: %r", statistics_to_compute) if not statistics_to_compute: return { "statistics": {}, "access_level": None, "from_cache": False, - "computed_at": None, + "computed_at": datetime.now(UTC).isoformat(), } # Call AggregationService (no sudo - let service determine access level from calling user) @@ -376,6 +413,7 @@ def _compute_via_aggregation_service(self, registrant_ids, variables): result = aggregation_service.compute_aggregation( scope=scope, statistics=statistics_to_compute, + group_by=group_by, context="gis", use_cache=False, # Spatial queries are dynamic, don't cache ) @@ -447,12 +485,22 @@ def _convert_aggregation_result(self, agg_result, registrant_ids=None): # Return statistics with metadata return { "statistics": result, + "breakdown": agg_result.get("breakdown"), "access_level": agg_result.get("access_level"), "from_cache": agg_result.get("from_cache", False), "computed_at": agg_result.get("computed_at"), } - def query_proximity(self, reference_points, radius_km, relation="within", filters=None, variables=None): + def query_proximity( + self, + reference_points, + radius_km, + relation="within", + filters=None, + variables=None, + group_by=None, + population_filter=None, + ): """Query registrants by proximity to reference points. Uses a temp table with pre-buffered geometries and ST_Intersects @@ -485,7 +533,13 @@ def query_proximity(self, reference_points, radius_km, relation="within", filter # Try coordinate-based query first try: - result = self._proximity_by_coordinates(reference_points, radius_meters, relation, filters) + result = self._proximity_by_coordinates( + reference_points, + radius_meters, + relation, + filters, + population_filter=population_filter, + ) if result["total_count"] > 0: _logger.info( "Proximity query (%s, %.1f km) using coordinates: %s registrants found", @@ -494,7 +548,7 @@ def query_proximity(self, reference_points, radius_km, relation="within", filter result["total_count"], ) registrant_ids = result["registrant_ids"] - stats_with_metadata = self._compute_statistics(registrant_ids, variables) + stats_with_metadata = self._compute_statistics(registrant_ids, variables, group_by=group_by) result.update(stats_with_metadata) result["reference_points_count"] = len(reference_points) result["radius_km"] = radius_km @@ -507,7 +561,13 @@ def query_proximity(self, reference_points, radius_km, relation="within", filter ) # Fall back to area-based query - result = self._proximity_by_area(reference_points, radius_meters, relation, filters) + result = self._proximity_by_area( + reference_points, + radius_meters, + relation, + filters, + population_filter=population_filter, + ) _logger.info( "Proximity query (%s, %.1f km) using area fallback: %s registrants in %s areas", relation, @@ -516,7 +576,7 @@ def query_proximity(self, reference_points, radius_km, relation="within", filter result["areas_matched"], ) registrant_ids = result["registrant_ids"] - stats_with_metadata = self._compute_statistics(registrant_ids, variables) + stats_with_metadata = self._compute_statistics(registrant_ids, variables, group_by=group_by) result.update(stats_with_metadata) result["reference_points_count"] = len(reference_points) result["radius_km"] = radius_km @@ -594,7 +654,155 @@ def _build_filter_clauses(self, filters): extra_where = (" AND " + " AND ".join(extra_clauses)) if extra_clauses else "" return extra_where, extra_params - def _proximity_by_coordinates(self, reference_points, radius_meters, relation, filters): + def _build_population_filter_sql(self, population_filter): + """Build SQL clause from population_filter input. + + Args: + population_filter: Dict with optional keys: program, cel_expression, mode + + Returns: + tuple: (sql_clause, params) where sql_clause is a string like + "AND p.id IN (...)" and params is a list of query parameters. + Returns ("", []) if no filter is active. + """ + if not population_filter: + return "", [] + + # TODO: Replace program ID with code field (see gis-analytics-enrichment.md Task 1) + program_id = population_filter.get("program") + cel_expression_code = population_filter.get("cel_expression") + mode = population_filter.get("mode", "and") + + if mode not in ("and", "or", "gap"): + raise ValueError(f"Invalid population_filter mode: {mode!r}. Must be 'and', 'or', or 'gap'.") + + if program_id is not None and not isinstance(program_id, int): + raise ValueError("population_filter.program must be an integer") + + program_sql = "" + program_params = [] + cel_sql = "" + cel_params = [] + + # Build program filter subquery + if program_id: + program_sql = """ + SELECT pm.partner_id FROM spp_program_membership pm + WHERE pm.program_id = %s AND pm.state = 'enrolled' + """ + program_params = [program_id] + + # Build CEL expression filter subquery + if cel_expression_code: + # nosemgrep: odoo-sudo-without-context + Expression = self.env["spp.cel.expression"].sudo() + expression = Expression.search([("code", "=", cel_expression_code)], limit=1) + if not expression: + _logger.warning("Population filter: expression '%s' not found", cel_expression_code) + return "AND false", [] + + # Use the correct profile based on the expression's context_type + context_type = expression.context_type or "group" + profile = "registry_individuals" if context_type == "individual" else "registry_groups" + + cel_service = self.env["spp.cel.service"] + result = cel_service.compile_expression( + expression.cel_expression, + profile=profile, + limit=0, + ) + if not result.get("valid"): + _logger.warning( + "Population filter: CEL expression '%s' failed to compile: %s", + cel_expression_code, + result.get("error"), + ) + return "AND false", [] + + domain = result.get("domain", []) + # nosemgrep: odoo-sudo-without-context + Partner = self.env["res.partner"].sudo() + matching_ids = Partner.search(domain).ids + if not matching_ids: + return "AND false", [] + + # For individual-context expressions, resolve to group IDs. + # The spatial query operates on groups (they have coordinates/area_id), + # so we find groups that contain matching individuals. + if context_type == "individual": + matching_ids = self._resolve_individuals_to_groups(matching_ids) + if not matching_ids: + return "AND false", [] + + if len(matching_ids) > 10000: + _logger.warning( + "Population filter: CEL expression '%s' matched %d registrants. " + "Consider using SQL subquery optimization for large result sets.", + cel_expression_code, + len(matching_ids), + ) + + cel_sql = "SELECT unnest(%s::int[])" + cel_params = [list(matching_ids)] + + # Combine based on mode + if program_sql and cel_sql: + if mode == "and": + return ( + "AND p.id IN (" + program_sql + ") AND p.id IN (" + cel_sql + ")", + program_params + cel_params, + ) + elif mode == "or": + return ( + "AND (p.id IN (" + program_sql + ") OR p.id IN (" + cel_sql + "))", + program_params + cel_params, + ) + elif mode == "gap": + return ( + "AND p.id IN (" + cel_sql + ") AND p.id NOT IN (" + program_sql + ")", + cel_params + program_params, + ) + elif program_sql: + return "AND p.id IN (" + program_sql + ")", program_params + elif cel_sql: + return "AND p.id IN (" + cel_sql + ")", cel_params + + return "", [] + + def _resolve_individuals_to_groups(self, individual_ids): + """Resolve individual partner IDs to their group (household) IDs. + + The spatial query operates on groups (they have coordinates/area_id). + For individual-context CEL expressions, we need to find which groups + contain the matching individuals. + + Args: + individual_ids: List of individual partner IDs + + Returns: + list: Group partner IDs that contain at least one matching individual + """ + if not individual_ids: + return [] + + self.env.cr.execute( + """ + SELECT DISTINCT gm."group" + FROM spp_group_membership gm + WHERE gm.individual = ANY(%s) + AND gm.is_ended = false + """, + [list(individual_ids)], + ) + group_ids = [row[0] for row in self.env.cr.fetchall()] + _logger.info( + "Resolved %d individuals to %d groups for population filter", + len(individual_ids), + len(group_ids), + ) + return group_ids + + def _proximity_by_coordinates(self, reference_points, radius_meters, relation, filters, population_filter=None): """Query registrants by coordinate proximity to reference points. Args: @@ -614,6 +822,10 @@ def _proximity_by_coordinates(self, reference_points, radius_meters, relation, f extra_where, extra_params = self._build_filter_clauses(filters) + pop_where, pop_params = self._build_population_filter_sql(population_filter) + extra_where += pop_where + extra_params += pop_params + if relation == "within": # Find registrants whose coordinates intersect any buffer query = f""" @@ -655,7 +867,7 @@ def _proximity_by_coordinates(self, reference_points, radius_meters, relation, f "registrant_ids": registrant_ids, } - def _proximity_by_area(self, reference_points, radius_meters, relation, filters): + def _proximity_by_area(self, reference_points, radius_meters, relation, filters, population_filter=None): """Query registrants by area proximity (fallback when coordinates unavailable). Uses ST_Intersects between area polygons and buffered reference points @@ -708,6 +920,10 @@ def _proximity_by_area(self, reference_points, radius_meters, relation, filters) area_tuple = tuple(area_ids) extra_where, extra_params = self._build_filter_clauses(filters) + pop_where, pop_params = self._build_population_filter_sql(population_filter) + extra_where += pop_where + extra_params += pop_params + # Reuse the same registrant lookup as _query_by_area (includes group membership) registrants_query = f""" SELECT DISTINCT p.id diff --git a/spp_api_v2_gis/tests/__init__.py b/spp_api_v2_gis/tests/__init__.py index 06c22da0..bc4e11a2 100644 --- a/spp_api_v2_gis/tests/__init__.py +++ b/spp_api_v2_gis/tests/__init__.py @@ -5,8 +5,11 @@ from . import test_layers_service from . import test_ogc_features from . import test_ogc_http +from . import test_ogc_processes from . import test_qml_template_service from . import test_spatial_query_service from . import test_statistics_endpoint from . import test_batch_query from . import test_proximity_query +from . import test_ogc_geofence_crud +from . import test_population_filter diff --git a/spp_api_v2_gis/tests/test_batch_query.py b/spp_api_v2_gis/tests/test_batch_query.py index 19cb9fa6..344f8341 100644 --- a/spp_api_v2_gis/tests/test_batch_query.py +++ b/spp_api_v2_gis/tests/test_batch_query.py @@ -253,13 +253,13 @@ def test_batch_request_schema(self): } ], filters={"is_group": True}, - variables=["children_under_5"], + variables=["total_households"], ) self.assertEqual(len(request.geometries), 1) self.assertEqual(request.geometries[0].id, "zone_1") self.assertEqual(request.filters, {"is_group": True}) - self.assertEqual(request.variables, ["children_under_5"]) + self.assertEqual(request.variables, ["total_households"]) def test_batch_request_requires_geometries(self): """Test that BatchSpatialQueryRequest requires at least one geometry.""" diff --git a/spp_api_v2_gis/tests/test_ogc_geofence_crud.py b/spp_api_v2_gis/tests/test_ogc_geofence_crud.py new file mode 100644 index 00000000..c35ccc4a --- /dev/null +++ b/spp_api_v2_gis/tests/test_ogc_geofence_crud.py @@ -0,0 +1,550 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for OGC API - Features Part 4: CRUD for Geofences. + +Tests cover: +- Phase 1: Read path (collection discovery, GET items, GET single item) +- Phase 2: Write path (POST, PUT, DELETE) +""" + +import json +import logging + +from odoo.exceptions import MissingError +from odoo.tests import tagged +from odoo.tests.common import TransactionCase + +_logger = logging.getLogger(__name__) + +# Sample polygon covering a small area in Southeast Asia +SAMPLE_POLYGON = { + "type": "Polygon", + "coordinates": [ + [ + [100.0, 0.0], + [101.0, 0.0], + [101.0, 1.0], + [100.0, 1.0], + [100.0, 0.0], + ] + ], +} + +# Another polygon, shifted east +SAMPLE_POLYGON_2 = { + "type": "Polygon", + "coordinates": [ + [ + [102.0, 2.0], + [103.0, 2.0], + [103.0, 3.0], + [102.0, 3.0], + [102.0, 2.0], + ] + ], +} + + +@tagged("post_install", "-at_install") +class TestOGCGeofenceRead(TransactionCase): + """Phase 1: Read path tests for geofence OGC collection.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + cls.Geofence = cls.env["spp.gis.geofence"] + + cls.geofence1 = cls.Geofence.create( + { + "name": "OGC Read Test Area 1", + "geometry": json.dumps(SAMPLE_POLYGON), + "geofence_type": "area_of_interest", + "created_from": "api", + } + ) + cls.geofence2 = cls.Geofence.create( + { + "name": "OGC Read Test Area 2", + "geometry": json.dumps(SAMPLE_POLYGON_2), + "geofence_type": "custom", + "created_from": "ui", + } + ) + # Inactive geofence (soft-deleted) + cls.geofence_inactive = cls.Geofence.create( + { + "name": "OGC Read Inactive", + "geometry": json.dumps(SAMPLE_POLYGON), + "geofence_type": "custom", + "active": False, + } + ) + + def _make_service(self, base_url="http://localhost:8069/api/v2/spp"): + from ..services.ogc_service import OGCService + + return OGCService(self.env, base_url) + + # --- to_geojson top-level id --- + + def test_to_geojson_has_top_level_id(self): + """to_geojson() must emit 'id' at the Feature top level (OGC Req 23).""" + feature = self.geofence1.to_geojson() + self.assertIn("id", feature) + self.assertEqual(feature["id"], self.geofence1.uuid) + + # --- Collection discovery --- + + def test_collections_includes_geofences(self): + """GET /collections must include a 'geofences' collection.""" + service = self._make_service() + result = service.get_collections() + + ids = [c["id"] for c in result["collections"]] + self.assertIn("geofences", ids) + + def test_geofences_collection_has_bbox(self): + """Geofences collection metadata must include extent.spatial.bbox.""" + service = self._make_service() + collection = service.get_collection("geofences") + + self.assertIn("extent", collection) + self.assertIn("spatial", collection["extent"]) + self.assertIn("bbox", collection["extent"]["spatial"]) + bbox = collection["extent"]["spatial"]["bbox"][0] + self.assertEqual(len(bbox), 4) + # bbox should encompass both test geofences: lon 100..103, lat 0..3 + self.assertLessEqual(bbox[0], 100.0) # west + self.assertLessEqual(bbox[1], 0.0) # south + self.assertGreaterEqual(bbox[2], 103.0) # east + self.assertGreaterEqual(bbox[3], 3.0) # north + + def test_geofences_collection_has_items_link(self): + """Geofences collection must have an 'items' link.""" + service = self._make_service() + collection = service.get_collection("geofences") + + link_rels = [link["rel"] for link in collection["links"]] + self.assertIn("items", link_rels) + self.assertIn("self", link_rels) + + # --- _parse_collection_id --- + + def test_parse_collection_id_geofences(self): + """'geofences' must parse as ('geofence', None, None).""" + service = self._make_service() + layer_type, layer_id, admin_level = service._parse_collection_id("geofences") + + self.assertEqual(layer_type, "geofence") + self.assertIsNone(layer_id) + self.assertIsNone(admin_level) + + # --- GET items --- + + def test_get_items_returns_feature_collection(self): + """GET items returns GeoJSON FeatureCollection with pagination.""" + service = self._make_service() + result = service.get_collection_items("geofences") + + self.assertEqual(result["type"], "FeatureCollection") + self.assertIn("numberMatched", result) + self.assertIn("numberReturned", result) + self.assertIn("features", result) + self.assertGreaterEqual(result["numberMatched"], 2) + + def test_get_items_features_have_top_level_id(self): + """Each feature in GET items must have a top-level 'id'.""" + service = self._make_service() + result = service.get_collection_items("geofences") + + for feature in result["features"]: + self.assertIn("id", feature) + self.assertIsNotNone(feature["id"]) + + def test_get_items_features_have_expected_properties(self): + """Features must include all documented properties.""" + service = self._make_service() + result = service.get_collection_items("geofences") + + self.assertGreater(len(result["features"]), 0) + props = result["features"][0]["properties"] + + expected_keys = [ + "uuid", + "name", + "description", + "geofence_type", + "geofence_type_label", + "area_sqkm", + "tags", + "created_from", + "created_by", + "create_date", + ] + for key in expected_keys: + self.assertIn(key, props, f"Missing property: {key}") + + def test_get_items_excludes_inactive(self): + """GET items must exclude inactive (soft-deleted) geofences by default.""" + service = self._make_service() + result = service.get_collection_items("geofences") + + uuids = [f["id"] for f in result["features"]] + self.assertNotIn(self.geofence_inactive.uuid, uuids) + + def test_get_items_pagination(self): + """GET items respects limit and offset.""" + service = self._make_service() + result = service.get_collection_items("geofences", limit=1, offset=0) + + self.assertEqual(result["numberReturned"], 1) + self.assertGreaterEqual(result["numberMatched"], 2) + + def test_get_items_bbox_filter(self): + """bbox filter returns only geofences intersecting the box.""" + service = self._make_service() + # bbox covering only geofence1 (100-101, 0-1), not geofence2 (102-103, 2-3) + result = service.get_collection_items("geofences", bbox=[99.5, -0.5, 101.5, 1.5]) + + uuids = [f["id"] for f in result["features"]] + self.assertIn(self.geofence1.uuid, uuids) + self.assertNotIn(self.geofence2.uuid, uuids) + + def test_get_items_geofence_type_filter(self): + """geofence_type filter returns only matching geofences.""" + service = self._make_service() + result = service.get_collection_items("geofences", geofence_type="area_of_interest") + + for feature in result["features"]: + self.assertEqual(feature["properties"]["geofence_type"], "area_of_interest") + + # --- GET single item --- + + def test_get_item_by_uuid(self): + """GET single item by UUID returns the correct feature.""" + service = self._make_service() + feature = service.get_collection_item("geofences", self.geofence1.uuid) + + self.assertEqual(feature["type"], "Feature") + self.assertEqual(feature["id"], self.geofence1.uuid) + self.assertEqual(feature["properties"]["name"], "OGC Read Test Area 1") + + def test_get_item_inactive_returns_404(self): + """GET single inactive item returns MissingError (404).""" + service = self._make_service() + + with self.assertRaises(MissingError): + service.get_collection_item("geofences", self.geofence_inactive.uuid) + + def test_get_item_nonexistent_returns_404(self): + """GET single item with bad UUID returns MissingError (404).""" + service = self._make_service() + + with self.assertRaises(MissingError): + service.get_collection_item("geofences", "nonexistent-uuid-12345") + + # --- Conformance --- + + def test_conformance_includes_crud_class(self): + """Conformance must include OGC Features Part 4 create-replace-delete.""" + service = self._make_service() + conf = service.get_conformance() + + self.assertIn( + "http://www.opengis.net/spec/ogcapi-features-4/1.0/conf/create-replace-delete", + conf["conformsTo"], + ) + + +@tagged("post_install", "-at_install") +class TestOGCGeofenceWrite(TransactionCase): + """Phase 2: Write path tests for geofence OGC collection.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + cls.Geofence = cls.env["spp.gis.geofence"] + + # Create a geofence to test PUT and DELETE on + cls.existing_geofence = cls.Geofence.create( + { + "name": "OGC Write Existing", + "geometry": json.dumps(SAMPLE_POLYGON), + "geofence_type": "custom", + "created_from": "api", + } + ) + + def _make_service(self, base_url="http://localhost:8069/api/v2/spp"): + from ..services.ogc_service import OGCService + + return OGCService(self.env, base_url) + + # --- POST (create) --- + + def test_post_creates_geofence(self): + """POST creates a geofence and returns 201-style result.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON_2, + "properties": { + "name": "OGC POST Test", + "geofence_type": "area_of_interest", + }, + } + + result = service.create_geofence_feature(feature_input) + + self.assertEqual(result["feature"]["type"], "Feature") + self.assertIn("id", result["feature"]) + self.assertEqual(result["feature"]["properties"]["name"], "OGC POST Test") + self.assertEqual(result["feature"]["properties"]["created_from"], "api") + self.assertIsNotNone(result["location"]) + + def test_post_with_tags_resolves_or_creates(self): + """POST with tags creates tag records if they don't exist.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON, + "properties": { + "name": "OGC POST Tags Test", + "tags": ["ogc-tag-alpha", "ogc-tag-beta"], + }, + } + + result = service.create_geofence_feature(feature_input) + + props = result["feature"]["properties"] + self.assertIn("ogc-tag-alpha", props["tags"]) + self.assertIn("ogc-tag-beta", props["tags"]) + + def test_post_with_incident_code(self): + """POST with incident_code links to hazard incident.""" + # Create hazard incident + category = self.env["spp.hazard.category"].create({"name": "OGC Test Cat", "code": "OGC_TEST_CAT"}) + self.env["spp.hazard.incident"].create( + { + "name": "OGC Test Flood", + "code": "OGC-FLOOD-001", + "category_id": category.id, + "start_date": "2026-01-01", + } + ) + + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON, + "properties": { + "name": "OGC POST Incident Test", + "geofence_type": "hazard_zone", + "incident_code": "OGC-FLOOD-001", + }, + } + + result = service.create_geofence_feature(feature_input) + + props = result["feature"]["properties"] + self.assertEqual(props["incident_id"], "OGC-FLOOD-001") + self.assertEqual(props["incident_name"], "OGC Test Flood") + + def test_post_invalid_geofence_type_returns_error(self): + """POST with invalid geofence_type raises ValueError with valid options.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON, + "properties": { + "name": "Bad Type Test", + "geofence_type": "nonexistent_type", + }, + } + + with self.assertRaises(ValueError) as cm: + service.create_geofence_feature(feature_input) + + # Error message should list valid options + self.assertIn("geofence_type", str(cm.exception)) + + def test_post_invalid_geometry_type_returns_error(self): + """POST with Point geometry raises ValueError.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": {"type": "Point", "coordinates": [100.0, 0.0]}, + "properties": {"name": "Bad Geom Test"}, + } + + with self.assertRaises(ValueError) as cm: + service.create_geofence_feature(feature_input) + + self.assertIn("Polygon", str(cm.exception)) + + def test_post_missing_name_returns_error(self): + """POST without 'name' property raises ValueError.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON, + "properties": {}, + } + + with self.assertRaises(ValueError): + service.create_geofence_feature(feature_input) + + # --- PUT (replace) --- + + def test_put_replaces_geofence(self): + """PUT replaces geofence geometry and properties.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON_2, + "properties": { + "name": "OGC PUT Replaced", + "geofence_type": "area_of_interest", + "description": "Updated via PUT", + }, + } + + result = service.replace_geofence_feature(self.existing_geofence.uuid, feature_input) + + self.assertEqual(result["type"], "Feature") + self.assertEqual(result["properties"]["name"], "OGC PUT Replaced") + self.assertEqual(result["properties"]["description"], "Updated via PUT") + self.assertEqual(result["properties"]["geofence_type"], "area_of_interest") + + def test_put_recomputes_area(self): + """PUT recomputes area_sqkm from the new geometry.""" + service = self._make_service() + + # Get original area + original_area = self.existing_geofence.area_sqkm + + # Replace with a larger polygon + large_polygon = { + "type": "Polygon", + "coordinates": [ + [ + [100.0, 0.0], + [105.0, 0.0], + [105.0, 5.0], + [100.0, 5.0], + [100.0, 0.0], + ] + ], + } + feature_input = { + "type": "Feature", + "geometry": large_polygon, + "properties": { + "name": "OGC PUT Area Recompute", + }, + } + + result = service.replace_geofence_feature(self.existing_geofence.uuid, feature_input) + + new_area = result["properties"]["area_sqkm"] + self.assertGreater(new_area, original_area) + + def test_put_missing_feature_returns_error(self): + """PUT on nonexistent UUID raises MissingError.""" + service = self._make_service() + feature_input = { + "type": "Feature", + "geometry": SAMPLE_POLYGON, + "properties": {"name": "No Such Feature"}, + } + + with self.assertRaises(MissingError): + service.replace_geofence_feature("nonexistent-uuid-99999", feature_input) + + # --- DELETE --- + + def test_delete_soft_deletes(self): + """DELETE sets active=False; subsequent GET returns 404.""" + # Create a geofence specifically for deletion + geofence = self.Geofence.create( + { + "name": "OGC Delete Target", + "geometry": json.dumps(SAMPLE_POLYGON), + "geofence_type": "custom", + } + ) + uuid = geofence.uuid + + service = self._make_service() + service.delete_geofence_feature(uuid) + + # Verify soft-deleted + geofence.invalidate_recordset() + self.assertFalse(geofence.with_context(active_test=False).active) + + # GET should now return 404 + with self.assertRaises(MissingError): + service.get_collection_item("geofences", uuid) + + def test_delete_missing_feature_returns_error(self): + """DELETE on nonexistent UUID raises MissingError.""" + service = self._make_service() + + with self.assertRaises(MissingError): + service.delete_geofence_feature("nonexistent-uuid-99999") + + def test_delete_allowed_when_no_program_module(self): + """DELETE succeeds when spp_program_geofence is not installed.""" + # spp_program_geofence is not a dependency of spp_api_v2_gis, + # so spp.program should not have geofence_ids in this test env. + # _check_geofence_not_referenced should be a no-op. + geofence = self.Geofence.create( + { + "name": "OGC Delete No Program", + "geometry": json.dumps(SAMPLE_POLYGON), + "geofence_type": "custom", + } + ) + uuid = geofence.uuid + + service = self._make_service() + service.delete_geofence_feature(uuid) + + geofence.invalidate_recordset() + self.assertFalse(geofence.with_context(active_test=False).active) + + def test_delete_blocked_when_referenced_by_program(self): + """DELETE raises ValueError if geofence is linked to a program.""" + geofence = self.Geofence.create( + { + "name": "OGC Delete Referenced", + "geometry": json.dumps(SAMPLE_POLYGON), + "geofence_type": "custom", + } + ) + + service = self._make_service() + + # Patch _check_geofence_not_referenced to simulate a program reference + original_check = service._check_geofence_not_referenced + + def mock_check(gf): + raise ValueError("Cannot delete geofence: referenced by program(s): Test Program") + + service._check_geofence_not_referenced = mock_check + + with self.assertRaises(ValueError) as cm: + service.delete_geofence_feature(geofence.uuid) + + self.assertIn("referenced by program", str(cm.exception)) + + # Verify geofence is still active (delete was blocked) + geofence.invalidate_recordset() + self.assertTrue(geofence.active) + + # Restore and verify normal delete still works + service._check_geofence_not_referenced = original_check + service.delete_geofence_feature(geofence.uuid) + geofence.invalidate_recordset() + self.assertFalse(geofence.with_context(active_test=False).active) diff --git a/spp_api_v2_gis/tests/test_ogc_processes.py b/spp_api_v2_gis/tests/test_ogc_processes.py new file mode 100644 index 00000000..1cf952f6 --- /dev/null +++ b/spp_api_v2_gis/tests/test_ogc_processes.py @@ -0,0 +1,1150 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for OGC API - Processes endpoints. + +Covers process registry, schemas, job model, and HTTP integration. +""" + +import json +import logging +import os +import unittest + +from odoo.tests import tagged +from odoo.tests.common import TransactionCase + +from odoo.addons.spp_api_v2.tests.common import ApiV2HttpTestCase + +_logger = logging.getLogger(__name__) + +API_BASE = "/api/v2/spp" +OGC_BASE = f"{API_BASE}/gis/ogc" + + +class TestProcessRegistry(TransactionCase): + """Unit tests for ProcessRegistry service.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + # Create test indicator data + Category = cls.env["spp.metric.category"] + cls.category = Category.search([("code", "=", "test_proc_category")], limit=1) + if not cls.category: + cls.category = Category.create( + { + "name": "Test Process Category", + "code": "test_proc_category", + "sequence": 50, + } + ) + + cls.cel_variable = cls.env["spp.cel.variable"].create( + { + "name": "test_proc_var", + "cel_accessor": "test_proc_accessor", + "source_type": "computed", + "cel_expression": "true", + "value_type": "number", + "state": "active", + } + ) + + cls.indicator = cls.env["spp.statistic"].create( + { + "name": "proc_test_stat", + "label": "Process Test Stat", + "description": "A test statistic for process tests", + "variable_id": cls.cel_variable.id, + "format": "count", + "unit": "people", + "is_published_gis": True, + "category_id": cls.category.id, + } + ) + + def test_list_processes_returns_two_processes(self): + """Registry returns spatial-statistics and proximity-statistics.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + processes = registry.list_processes() + + self.assertEqual(len(processes), 2) + ids = {p["id"] for p in processes} + self.assertEqual(ids, {"spatial-statistics", "proximity-statistics"}) + + def test_get_process_spatial_statistics(self): + """spatial-statistics description includes inputs and outputs.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("spatial-statistics") + + self.assertIsNotNone(desc) + self.assertEqual(desc["id"], "spatial-statistics") + self.assertIn("geometry", desc["inputs"]) + self.assertIn("variables", desc["inputs"]) + self.assertIn("filters", desc["inputs"]) + self.assertIn("result", desc["outputs"]) + + def test_get_process_proximity_statistics(self): + """proximity-statistics description includes inputs and outputs.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("proximity-statistics") + + self.assertIsNotNone(desc) + self.assertEqual(desc["id"], "proximity-statistics") + self.assertIn("reference_points", desc["inputs"]) + self.assertIn("radius_km", desc["inputs"]) + self.assertIn("relation", desc["inputs"]) + + def test_get_process_unknown_returns_none(self): + """Unknown process ID returns None.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + self.assertIsNone(registry.get_process("nonexistent")) + + def test_variables_enum_reflects_indicators(self): + """Variables input enum includes published spp.statistic names.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("spatial-statistics") + + variables_input = desc["inputs"]["variables"] + schema = variables_input["schema"] + items = schema["items"] + + # Should have enum with at least our test indicator + self.assertIn("enum", items) + self.assertIn("proc_test_stat", items["enum"]) + + def test_x_openspp_statistics_extension(self): + """Process description includes x-openspp-statistics for UI metadata.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("spatial-statistics") + + variables_input = desc["inputs"]["variables"] + self.assertIn("x-openspp-statistics", variables_input) + + categories = variables_input["x-openspp-statistics"]["categories"] + self.assertIsInstance(categories, list) + self.assertGreater(len(categories), 0) + + # Find our test category + test_cats = [c for c in categories if c["code"] == "test_proc_category"] + self.assertEqual(len(test_cats), 1) + self.assertEqual(test_cats[0]["name"], "Test Process Category") + + # Category should contain our indicator + stat_names = [s["name"] for s in test_cats[0]["statistics"]] + self.assertIn("proc_test_stat", stat_names) + + def test_get_statistics_metadata(self): + """get_statistics_metadata returns variable names and categories.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + variable_names, categories = registry.get_statistics_metadata() + + self.assertIn("proc_test_stat", variable_names) + self.assertIsInstance(categories, list) + self.assertGreater(len(categories), 0) + + +class TestProcessSchemas(TransactionCase): + """Unit tests for Pydantic process schemas.""" + + def test_process_summary_creation(self): + """ProcessSummary validates correctly.""" + from ..schemas.processes import ProcessSummary + + summary = ProcessSummary( + id="test", + title="Test Process", + description="A test", + version="1.0.0", + jobControlOptions=["sync-execute"], + ) + self.assertEqual(summary.id, "test") + self.assertEqual(summary.jobControlOptions, ["sync-execute"]) + + def test_execute_request_minimal(self): + """ExecuteRequest works with just inputs.""" + from ..schemas.processes import ExecuteRequest + + req = ExecuteRequest(inputs={"geometry": {"type": "Polygon", "coordinates": []}}) + self.assertIsNotNone(req.inputs) + self.assertIsNone(req.outputs) + self.assertIsNone(req.response) + + def test_status_info_serialization(self): + """StatusInfo serializes with camelCase aliases.""" + from ..schemas.processes import StatusInfo + + info = StatusInfo( + jobID="abc-123", + processID="spatial-statistics", + status="accepted", + ) + dumped = info.model_dump(by_alias=True) + self.assertIn("jobID", dumped) + self.assertIn("processID", dumped) + self.assertEqual(dumped["jobID"], "abc-123") + + def test_job_list_creation(self): + """JobList contains StatusInfo objects.""" + from ..schemas.processes import JobList, StatusInfo + + job_list = JobList( + jobs=[ + StatusInfo(jobID="j1", status="accepted"), + StatusInfo(jobID="j2", status="running"), + ] + ) + self.assertEqual(len(job_list.jobs), 2) + + +class TestGisProcessJobModel(TransactionCase): + """Unit tests for spp.gis.process.job Odoo model.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + # Create a test API client + partner = cls.env["res.partner"].create({"name": "Test Process Client"}) + org_type = cls.env.ref("spp_consent.org_type_government", raise_if_not_found=False) + if not org_type: + org_type = cls.env["spp.consent.org.type"].search([("code", "=", "government")], limit=1) + if not org_type: + org_type = cls.env["spp.consent.org.type"].create({"name": "Government", "code": "government"}) + + cls.api_client = cls.env["spp.api.client"].create( + { + "name": "Process Test Client", + "partner_id": partner.id, + "organization_type_id": org_type.id, + } + ) + + def _create_job(self, **kwargs): + """Helper to create a job record.""" + import uuid + + vals = { + "job_id": str(uuid.uuid4()), + "process_id": "spatial-statistics", + "client_id": self.api_client.id, + "inputs": {"geometry": {"type": "Polygon", "coordinates": []}}, + } + vals.update(kwargs) + return self.env["spp.gis.process.job"].create(vals) + + def test_create_job_defaults(self): + """New job has default status=accepted and progress=0.""" + job = self._create_job() + self.assertEqual(job.status, "accepted") + self.assertEqual(job.progress, 0) + self.assertFalse(job.started_at) + self.assertFalse(job.finished_at) + + def test_dismiss_accepted_job(self): + """Dismissing an accepted job sets status to dismissed.""" + job = self._create_job() + job.dismiss() + self.assertEqual(job.status, "dismissed") + self.assertTrue(job.finished_at) + + def test_dismiss_running_job_raises(self): + """Dismissing a running job raises UserError.""" + from odoo.exceptions import UserError + + job = self._create_job() + job.status = "running" + + with self.assertRaises(UserError): + job.dismiss() + + def test_dismiss_successful_job_deletes(self): + """Dismissing a terminal job deletes the record.""" + job = self._create_job() + job.status = "successful" + job_id = job.id + + job.dismiss() + + # Record should be deleted + self.assertFalse(self.env["spp.gis.process.job"].browse(job_id).exists()) + + def test_dismiss_failed_job_deletes(self): + """Dismissing a failed job deletes the record.""" + job = self._create_job() + job.status = "failed" + job_id = job.id + + job.dismiss() + self.assertFalse(self.env["spp.gis.process.job"].browse(job_id).exists()) + + def test_cron_cleanup_stale_jobs(self): + """Cron marks stale accepted/running jobs as failed.""" + from datetime import datetime, timedelta + + job = self._create_job() + # Backdate the create_date to 2 hours ago + two_hours_ago = datetime.now() - timedelta(hours=2) + self.env.cr.execute( + "UPDATE spp_gis_process_job SET create_date = %s WHERE id = %s", + (two_hours_ago, job.id), + ) + job.invalidate_recordset() + + self.env["spp.gis.process.job"].cron_cleanup_jobs() + + job.invalidate_recordset() + self.assertEqual(job.status, "failed") + self.assertEqual(job.message, "Job timed out (stale)") + + def test_cron_cleanup_old_jobs(self): + """Cron deletes jobs older than retention period.""" + from datetime import datetime, timedelta + + job = self._create_job() + job.status = "successful" + # Backdate to 10 days ago + ten_days_ago = datetime.now() - timedelta(days=10) + self.env.cr.execute( + "UPDATE spp_gis_process_job SET create_date = %s WHERE id = %s", + (ten_days_ago, job.id), + ) + job.invalidate_recordset() + job_id = job.id + + self.env["spp.gis.process.job"].cron_cleanup_jobs() + + self.assertFalse(self.env["spp.gis.process.job"].browse(job_id).exists()) + + def test_execute_process_unknown_process(self): + """execute_process with unknown process_id sets status to failed.""" + job = self._create_job(process_id="nonexistent-process") + job.execute_process() + + self.assertEqual(job.status, "failed") + self.assertIn("Process execution failed", job.message) + + +class TestOGCConformanceUpdated(TransactionCase): + """Test that OGC conformance now includes Processes classes.""" + + def test_conformance_includes_processes(self): + """Conformance declaration includes OGC API - Processes classes.""" + from ..services.ogc_service import CONFORMANCE_CLASSES + + processes_classes = [c for c in CONFORMANCE_CLASSES if "processes" in c] + self.assertGreaterEqual(len(processes_classes), 5) + self.assertIn("http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/core", CONFORMANCE_CLASSES) + self.assertIn("http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/json", CONFORMANCE_CLASSES) + self.assertIn("http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/job-list", CONFORMANCE_CLASSES) + self.assertIn("http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/dismiss", CONFORMANCE_CLASSES) + self.assertIn( + "http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/ogc-process-description", + CONFORMANCE_CLASSES, + ) + + def test_landing_page_includes_processes_link(self): + """Landing page includes link to /gis/ogc/processes.""" + from ..services.ogc_service import OGCService + + service = OGCService(self.env, base_url="http://test") + landing = service.get_landing_page() + + link_rels = [link["rel"] for link in landing["links"]] + self.assertIn("http://www.opengis.net/def/rel/ogc/1.0/processes", link_rels) + + +class TestProcessInputValidation(TransactionCase): + """Unit tests for input validation logic in the processes router.""" + + def test_validate_spatial_single_geometry(self): + """Single GeoJSON geometry is valid.""" + from ..routers.processes import _validate_spatial_statistics_inputs + + # Should not raise + _validate_spatial_statistics_inputs( + {"geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]]}} + ) + + def test_validate_spatial_batch_with_id_value(self): + """Batch with {id, value} wrapper is valid.""" + from ..routers.processes import _validate_spatial_statistics_inputs + + _validate_spatial_statistics_inputs( + { + "geometry": [ + {"id": "a1", "value": {"type": "Polygon", "coordinates": []}}, + {"id": "a2", "value": {"type": "Polygon", "coordinates": []}}, + ] + } + ) + + def test_validate_spatial_bare_array_rejected(self): + """Bare geometry arrays (no {id, value} wrapper) are rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_spatial_statistics_inputs + + with self.assertRaises(HTTPException) as ctx: + _validate_spatial_statistics_inputs( + { + "geometry": [ + {"type": "Polygon", "coordinates": []}, + ] + } + ) + self.assertEqual(ctx.exception.status_code, 400) + self.assertIn("id", ctx.exception.detail) + + def test_validate_spatial_empty_array_rejected(self): + """Empty geometry array is rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_spatial_statistics_inputs + + with self.assertRaises(HTTPException) as ctx: + _validate_spatial_statistics_inputs({"geometry": []}) + self.assertEqual(ctx.exception.status_code, 400) + + def test_validate_spatial_max_geometries(self): + """More than 100 geometries is rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_spatial_statistics_inputs + + geometries = [{"id": f"g{i}", "value": {"type": "Polygon"}} for i in range(101)] + with self.assertRaises(HTTPException) as ctx: + _validate_spatial_statistics_inputs({"geometry": geometries}) + self.assertEqual(ctx.exception.status_code, 400) + self.assertIn("100", ctx.exception.detail) + + def test_validate_spatial_missing_geometry(self): + """Missing geometry input is rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_spatial_statistics_inputs + + with self.assertRaises(HTTPException) as ctx: + _validate_spatial_statistics_inputs({}) + self.assertEqual(ctx.exception.status_code, 400) + + def test_validate_proximity_valid(self): + """Valid proximity inputs pass validation.""" + from ..routers.processes import _validate_proximity_statistics_inputs + + _validate_proximity_statistics_inputs( + { + "reference_points": [{"longitude": 1.0, "latitude": 2.0}], + "radius_km": 10.0, + } + ) + + def test_validate_proximity_missing_radius(self): + """Missing radius_km is rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_proximity_statistics_inputs + + with self.assertRaises(HTTPException) as ctx: + _validate_proximity_statistics_inputs({"reference_points": [{"longitude": 1.0, "latitude": 2.0}]}) + self.assertEqual(ctx.exception.status_code, 400) + + def test_validate_proximity_invalid_relation(self): + """Invalid relation value is rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_proximity_statistics_inputs + + with self.assertRaises(HTTPException) as ctx: + _validate_proximity_statistics_inputs( + { + "reference_points": [{"longitude": 1.0, "latitude": 2.0}], + "radius_km": 10.0, + "relation": "intersects", + } + ) + self.assertEqual(ctx.exception.status_code, 400) + + def test_validate_proximity_radius_too_large(self): + """radius_km > 500 is rejected.""" + from fastapi import HTTPException + + from ..routers.processes import _validate_proximity_statistics_inputs + + with self.assertRaises(HTTPException) as ctx: + _validate_proximity_statistics_inputs( + { + "reference_points": [{"longitude": 1.0, "latitude": 2.0}], + "radius_km": 501, + } + ) + self.assertEqual(ctx.exception.status_code, 400) + + +@tagged("post_install", "-at_install") +@unittest.skipIf(os.getenv("SKIP_HTTP_CASE"), "Skipped via SKIP_HTTP_CASE") +class TestOGCProcessesHTTP(ApiV2HttpTestCase): + """HTTP integration tests for OGC Processes endpoints.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + # Create API client with gis:read scope + cls.gis_client = cls.create_api_client( + cls, + name="GIS Processes Client", + scopes=[{"resource": "gis", "action": "read"}], + ) + cls.gis_token = cls.generate_jwt_token(cls, cls.gis_client) + + # Client without gis scope + cls.no_gis_client = cls.create_api_client( + cls, + name="No GIS Processes Client", + scopes=[{"resource": "individual", "action": "read"}], + ) + cls.no_gis_token = cls.generate_jwt_token(cls, cls.no_gis_client) + + # Create a second client for job scoping tests + cls.other_client = cls.create_api_client( + cls, + name="Other GIS Client", + scopes=[{"resource": "gis", "action": "read"}], + ) + cls.other_token = cls.generate_jwt_token(cls, cls.other_client) + + # Create test indicator for enum tests + Category = cls.env["spp.metric.category"] + cls.test_category = Category.search([("code", "=", "http_proc_cat")], limit=1) + if not cls.test_category: + cls.test_category = Category.create({"name": "HTTP Proc Category", "code": "http_proc_cat", "sequence": 60}) + + cls.cel_variable = cls.env["spp.cel.variable"].create( + { + "name": "http_proc_var", + "cel_accessor": "http_proc_accessor", + "source_type": "computed", + "cel_expression": "true", + "value_type": "number", + "state": "active", + } + ) + + cls.test_indicator = cls.env["spp.statistic"].create( + { + "name": "http_proc_test_stat", + "label": "HTTP Process Test Stat", + "variable_id": cls.cel_variable.id, + "format": "count", + "is_published_gis": True, + "category_id": cls.test_category.id, + } + ) + + def _gis_headers(self): + return { + "Content-Type": "application/json", + "Authorization": f"Bearer {self.gis_token}", + } + + def _no_gis_headers(self): + return { + "Content-Type": "application/json", + "Authorization": f"Bearer {self.no_gis_token}", + } + + def _other_headers(self): + return { + "Content-Type": "application/json", + "Authorization": f"Bearer {self.other_token}", + } + + # === Process list === + + def test_list_processes_returns_200(self): + """GET /processes returns 200 with process list.""" + response = self.url_open(f"{OGC_BASE}/processes", headers=self._gis_headers()) + self.assertEqual(response.status_code, 200) + data = response.json() + self.assertIn("processes", data) + self.assertEqual(len(data["processes"]), 2) + + def test_list_processes_no_scope_returns_403(self): + """GET /processes without gis scope returns 403.""" + response = self.url_open(f"{OGC_BASE}/processes", headers=self._no_gis_headers()) + self.assertEqual(response.status_code, 403) + + # === Process description === + + def test_process_description_spatial_returns_200(self): + """GET /processes/spatial-statistics returns 200.""" + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics", + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 200) + data = response.json() + self.assertEqual(data["id"], "spatial-statistics") + self.assertIn("inputs", data) + self.assertIn("outputs", data) + + def test_process_description_proximity_returns_200(self): + """GET /processes/proximity-statistics returns 200.""" + response = self.url_open( + f"{OGC_BASE}/processes/proximity-statistics", + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 200) + data = response.json() + self.assertEqual(data["id"], "proximity-statistics") + + def test_process_description_unknown_returns_404(self): + """GET /processes/nonexistent returns 404.""" + response = self.url_open( + f"{OGC_BASE}/processes/nonexistent", + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 404) + + def test_process_description_includes_indicator_enum(self): + """Process description includes indicator names in variables enum.""" + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics", + headers=self._gis_headers(), + ) + data = response.json() + variables = data["inputs"]["variables"] + schema_items = variables["schema"]["items"] + self.assertIn("enum", schema_items) + self.assertIn("http_proc_test_stat", schema_items["enum"]) + + def test_process_description_includes_x_openspp_statistics(self): + """Process description includes x-openspp-statistics extension.""" + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics", + headers=self._gis_headers(), + ) + data = response.json() + variables = data["inputs"]["variables"] + self.assertIn("x-openspp-statistics", variables) + + # === Execution: invalid inputs === + + def test_execute_unknown_process_returns_404(self): + """POST /processes/nonexistent/execution returns 404.""" + response = self.url_open( + f"{OGC_BASE}/processes/nonexistent/execution", + data=json.dumps({"inputs": {}}), + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 404) + + def test_execute_missing_geometry_returns_400(self): + """POST spatial-statistics without geometry returns 400.""" + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps({"inputs": {}}), + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 400) + + def test_execute_bare_geometry_array_returns_400(self): + """POST spatial-statistics with bare geometry array returns 400.""" + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + { + "inputs": { + "geometry": [ + {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}, + ] + } + } + ), + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 400) + + def test_execute_no_scope_returns_403(self): + """POST execution without gis scope returns 403.""" + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps({"inputs": {"geometry": {"type": "Polygon", "coordinates": []}}}), + headers=self._no_gis_headers(), + ) + self.assertEqual(response.status_code, 403) + + # === Execution: async flow === + + def test_async_execution_returns_201(self): + """POST with Prefer: respond-async returns 201 with Location header.""" + headers = self._gis_headers() + headers["Prefer"] = "respond-async" + + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + { + "inputs": { + "geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}, + } + } + ), + headers=headers, + ) + self.assertEqual(response.status_code, 201) + self.assertIn("Location", response.headers) + data = response.json() + self.assertIn("jobID", data) + self.assertEqual(data["status"], "accepted") + + def test_forced_async_for_large_batch(self): + """Batch with >10 geometries forces async regardless of Prefer header.""" + # Set threshold to 5 for testing + self.env["ir.config_parameter"].sudo().set_param("spp_gis.forced_async_threshold", "5") + + geometries = [ + {"id": f"g{i}", "value": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}} + for i in range(6) + ] + + response = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps({"inputs": {"geometry": geometries}}), + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 201) + self.assertIn("Location", response.headers) + + # === Jobs API === + + def test_list_jobs_empty(self): + """GET /jobs returns empty list when no jobs exist for client.""" + response = self.url_open(f"{OGC_BASE}/jobs", headers=self._gis_headers()) + self.assertEqual(response.status_code, 200) + data = response.json() + self.assertIn("jobs", data) + + def test_job_scoping(self): + """Client A cannot see Client B's jobs.""" + # Create a job via async execution for client A + headers_a = self._gis_headers() + headers_a["Prefer"] = "respond-async" + resp_a = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + {"inputs": {"geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}}} + ), + headers=headers_a, + ) + self.assertEqual(resp_a.status_code, 201) + job_id = resp_a.json()["jobID"] + + # Client A can see the job + resp_status_a = self.url_open(f"{OGC_BASE}/jobs/{job_id}", headers=self._gis_headers()) + self.assertEqual(resp_status_a.status_code, 200) + + # Client B cannot see it + resp_status_b = self.url_open(f"{OGC_BASE}/jobs/{job_id}", headers=self._other_headers()) + self.assertEqual(resp_status_b.status_code, 404) + + def test_job_status_not_found(self): + """GET /jobs/nonexistent returns 404.""" + response = self.url_open( + f"{OGC_BASE}/jobs/00000000-0000-0000-0000-000000000000", + headers=self._gis_headers(), + ) + self.assertEqual(response.status_code, 404) + + def test_job_results_not_ready(self): + """GET /jobs/{id}/results for non-successful job returns 404.""" + # Create an async job (status=accepted) + headers = self._gis_headers() + headers["Prefer"] = "respond-async" + resp = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + {"inputs": {"geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}}} + ), + headers=headers, + ) + job_id = resp.json()["jobID"] + + # Results not available for accepted job + resp_results = self.url_open( + f"{OGC_BASE}/jobs/{job_id}/results", + headers=self._gis_headers(), + ) + self.assertEqual(resp_results.status_code, 404) + + def test_dismiss_accepted_job(self): + """DELETE /jobs/{id} for accepted job returns 200 with dismissed status.""" + headers = self._gis_headers() + headers["Prefer"] = "respond-async" + resp = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + {"inputs": {"geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}}} + ), + headers=headers, + ) + job_id = resp.json()["jobID"] + + # Dismiss the job + resp_delete = self.url_delete( + f"{OGC_BASE}/jobs/{job_id}", + headers=self._gis_headers(), + ) + self.assertEqual(resp_delete.status_code, 200) + data = resp_delete.json() + self.assertEqual(data.get("status"), "dismissed") + + def test_dismiss_running_job_returns_409(self): + """DELETE /jobs/{id} for running job returns 409.""" + # Create job and manually set to running + headers = self._gis_headers() + headers["Prefer"] = "respond-async" + resp = self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + {"inputs": {"geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}}} + ), + headers=headers, + ) + job_id = resp.json()["jobID"] + + # Manually set to running + job = self.env["spp.gis.process.job"].sudo().search([("job_id", "=", job_id)], limit=1) + job.status = "running" + self.env.cr.flush() + + resp_delete = self.url_delete( + f"{OGC_BASE}/jobs/{job_id}", + headers=self._gis_headers(), + ) + self.assertEqual(resp_delete.status_code, 409) + + def test_list_jobs_with_status_filter(self): + """GET /jobs?status=accepted filters jobs.""" + # Create a job + headers = self._gis_headers() + headers["Prefer"] = "respond-async" + self.url_open( + f"{OGC_BASE}/processes/spatial-statistics/execution", + data=json.dumps( + {"inputs": {"geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}}} + ), + headers=headers, + ) + + # Filter by accepted + resp = self.url_open(f"{OGC_BASE}/jobs?status=accepted", headers=self._gis_headers()) + self.assertEqual(resp.status_code, 200) + data = resp.json() + for job in data["jobs"]: + self.assertEqual(job["status"], "accepted") + + def test_list_jobs_invalid_status_returns_400(self): + """GET /jobs?status=invalid returns 400.""" + resp = self.url_open(f"{OGC_BASE}/jobs?status=invalid", headers=self._gis_headers()) + self.assertEqual(resp.status_code, 400) + + # === Conformance === + + def test_conformance_includes_processes(self): + """GET /conformance includes Processes conformance classes.""" + response = self.url_open(f"{OGC_BASE}/conformance", headers=self._gis_headers()) + self.assertEqual(response.status_code, 200) + data = response.json() + conforms = data["conformsTo"] + self.assertIn("http://www.opengis.net/spec/ogcapi-processes-1/1.0/conf/core", conforms) + + # === Landing page === + + def test_landing_page_includes_processes_link(self): + """Landing page includes link to processes.""" + response = self.url_open(OGC_BASE, headers=self._gis_headers()) + self.assertEqual(response.status_code, 200) + data = response.json() + link_rels = [link["rel"] for link in data["links"]] + self.assertIn("http://www.opengis.net/def/rel/ogc/1.0/processes", link_rels) + + +class TestProcessGroupByInput(TransactionCase): + """Unit tests for group_by input and breakdown response in OGC processes.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + # Create a demographic dimension for testing + cls.gender_dimension = cls.env["spp.demographic.dimension"].search([("name", "=", "gender")], limit=1) + if not cls.gender_dimension: + cls.gender_dimension = cls.env["spp.demographic.dimension"].create( + { + "name": "gender", + "label": "Gender", + "dimension_type": "field", + "field_path": "gender_id.code", + "value_labels_json": {"1": "Male", "2": "Female"}, + "default_value": "unknown", + } + ) + + def test_spatial_statistics_includes_group_by_input(self): + """spatial-statistics process description includes group_by input.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("spatial-statistics") + + self.assertIn("group_by", desc["inputs"]) + group_by = desc["inputs"]["group_by"] + self.assertEqual(group_by["title"], "Disaggregation Dimensions") + self.assertEqual(group_by["minOccurs"], 0) + self.assertEqual(group_by["schema"]["type"], "array") + self.assertEqual(group_by["schema"]["maxItems"], 3) + + def test_proximity_statistics_includes_group_by_input(self): + """proximity-statistics process description includes group_by input.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("proximity-statistics") + + self.assertIn("group_by", desc["inputs"]) + + def test_group_by_enum_reflects_active_dimensions(self): + """group_by enum includes active dimension names.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("spatial-statistics") + + group_by = desc["inputs"]["group_by"] + items = group_by["schema"]["items"] + + # Should have enum with at least our test dimension + self.assertIn("enum", items) + self.assertIn("gender", items["enum"]) + + def test_group_by_x_openspp_dimensions_metadata(self): + """group_by includes x-openspp-dimensions extension with labels.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + desc = registry.get_process("spatial-statistics") + + group_by = desc["inputs"]["group_by"] + self.assertIn("x-openspp-dimensions", group_by) + + dim_metadata = group_by["x-openspp-dimensions"] + gender_dims = [d for d in dim_metadata if d["name"] == "gender"] + self.assertEqual(len(gender_dims), 1) + self.assertEqual(gender_dims[0]["label"], "Gender") + + def test_breakdown_schema_field_on_single_result(self): + """SingleStatisticsResult schema accepts optional breakdown field.""" + from ..schemas.processes import SingleStatisticsResult + + # Without breakdown + result = SingleStatisticsResult( + total_count=10, + query_method="coordinates", + areas_matched=1, + statistics={"count": 10}, + ) + self.assertIsNone(result.breakdown) + + # With breakdown + result_with = SingleStatisticsResult( + total_count=10, + query_method="coordinates", + areas_matched=1, + statistics={"count": 10}, + breakdown={"1": {"count": 6, "labels": {"gender": {"value": "1", "display": "Male"}}}}, + ) + self.assertIsNotNone(result_with.breakdown) + + def test_breakdown_schema_field_on_batch_result(self): + """BatchResultItem and BatchSummary schemas accept optional breakdown field.""" + from ..schemas.processes import BatchResultItem, BatchSummary + + item = BatchResultItem( + id="area_1", + total_count=10, + query_method="coordinates", + areas_matched=1, + statistics={}, + breakdown={"1": {"count": 6}}, + ) + self.assertIsNotNone(item.breakdown) + + summary = BatchSummary( + total_count=20, + geometries_queried=2, + statistics={}, + breakdown={"1": {"count": 12}}, + ) + self.assertIsNotNone(summary.breakdown) + + def test_breakdown_schema_field_on_proximity_result(self): + """ProximityResult schema accepts optional breakdown field.""" + from ..schemas.processes import ProximityResult + + result = ProximityResult( + total_count=10, + query_method="coordinates", + areas_matched=1, + reference_points_count=1, + radius_km=5.0, + relation="within", + statistics={}, + breakdown={"1": {"count": 6}}, + ) + self.assertIsNotNone(result.breakdown) + + def test_run_spatial_statistics_passes_group_by(self): + """run_spatial_statistics extracts and passes group_by from inputs.""" + from unittest.mock import MagicMock + + from ..services.process_execution import run_spatial_statistics + + mock_service = MagicMock() + mock_service.query_statistics.return_value = { + "total_count": 5, + "query_method": "area_fallback", + "areas_matched": 1, + "statistics": {}, + "breakdown": {"1": {"count": 3}}, + "registrant_ids": [1, 2, 3, 4, 5], + } + + result = run_spatial_statistics( + mock_service, + { + "geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}, + "group_by": ["gender"], + }, + ) + + mock_service.query_statistics.assert_called_once() + call_kwargs = mock_service.query_statistics.call_args + self.assertEqual(call_kwargs.kwargs.get("group_by") or call_kwargs[1].get("group_by"), ["gender"]) + self.assertEqual(result.get("breakdown"), {"1": {"count": 3}}) + + def test_run_spatial_statistics_no_group_by_backward_compatible(self): + """run_spatial_statistics without group_by passes None (backward compatible).""" + from unittest.mock import MagicMock + + from ..services.process_execution import run_spatial_statistics + + mock_service = MagicMock() + mock_service.query_statistics.return_value = { + "total_count": 5, + "query_method": "area_fallback", + "areas_matched": 1, + "statistics": {}, + "registrant_ids": [1, 2, 3, 4, 5], + } + + result = run_spatial_statistics( + mock_service, + { + "geometry": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}, + }, + ) + + call_kwargs = mock_service.query_statistics.call_args + group_by_value = call_kwargs.kwargs.get("group_by") if call_kwargs.kwargs else call_kwargs[1].get("group_by") + self.assertIsNone(group_by_value) + self.assertIsNone(result.get("breakdown")) + + def test_run_proximity_statistics_passes_group_by(self): + """run_proximity_statistics extracts and passes group_by from inputs.""" + from unittest.mock import MagicMock + + from ..services.process_execution import run_proximity_statistics + + mock_service = MagicMock() + mock_service.query_proximity.return_value = { + "total_count": 3, + "query_method": "area_fallback", + "areas_matched": 1, + "statistics": {}, + "breakdown": {"2": {"count": 2}}, + "reference_points_count": 1, + "radius_km": 10.0, + "relation": "within", + "registrant_ids": [1, 2, 3], + } + + result = run_proximity_statistics( + mock_service, + { + "reference_points": [{"longitude": 1.0, "latitude": 2.0}], + "radius_km": 10.0, + "group_by": ["gender"], + }, + ) + + call_kwargs = mock_service.query_proximity.call_args + self.assertEqual(call_kwargs.kwargs.get("group_by"), ["gender"]) + self.assertEqual(result.get("breakdown"), {"2": {"count": 2}}) + + def test_run_spatial_statistics_batch_passes_group_by(self): + """run_spatial_statistics in batch mode passes group_by to query_statistics_batch.""" + from unittest.mock import MagicMock + + from ..services.process_execution import run_spatial_statistics + + mock_service = MagicMock() + mock_service.query_statistics_batch.return_value = { + "results": [ + { + "id": "g1", + "total_count": 5, + "query_method": "area_fallback", + "areas_matched": 1, + "statistics": {}, + "breakdown": {"1": {"count": 3}}, + }, + ], + "summary": { + "total_count": 5, + "geometries_queried": 1, + "statistics": {}, + "breakdown": {"1": {"count": 3}}, + }, + } + + result = run_spatial_statistics( + mock_service, + { + "geometry": [ + {"id": "g1", "value": {"type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 0]]]}}, + ], + "group_by": ["gender"], + }, + ) + + mock_service.query_statistics_batch.assert_called_once() + call_kwargs = mock_service.query_statistics_batch.call_args + self.assertEqual(call_kwargs.kwargs.get("group_by"), ["gender"]) + self.assertIn("breakdown", result["summary"]) + self.assertIn("breakdown", result["results"][0]) diff --git a/spp_api_v2_gis/tests/test_population_filter.py b/spp_api_v2_gis/tests/test_population_filter.py new file mode 100644 index 00000000..fd14efdc --- /dev/null +++ b/spp_api_v2_gis/tests/test_population_filter.py @@ -0,0 +1,525 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for population_filter parameter on spatial queries.""" + +from datetime import date + +from odoo.tests.common import TransactionCase + + +class TestPopulationFilter(TransactionCase): + """Test population_filter parameter on spatial queries.""" + + @classmethod + def setUpClass(cls): + """Set up test data with programs, memberships, and areas.""" + super().setUpClass() + + # Create two test areas + cls.area_1 = cls.env["spp.area"].create({"draft_name": "Filter Test District 1", "code": "FILT-DIST-001"}) + cls.area_2 = cls.env["spp.area"].create({"draft_name": "Filter Test District 2", "code": "FILT-DIST-002"}) + + # Create 4 households (groups), 2 per area + cls.group_a1 = cls.env["res.partner"].create( + { + "name": "HH A1", + "is_registrant": True, + "is_group": True, + "area_id": cls.area_1.id, + } + ) + cls.group_a2 = cls.env["res.partner"].create( + { + "name": "HH A2", + "is_registrant": True, + "is_group": True, + "area_id": cls.area_1.id, + } + ) + cls.group_b1 = cls.env["res.partner"].create( + { + "name": "HH B1", + "is_registrant": True, + "is_group": True, + "area_id": cls.area_2.id, + } + ) + cls.group_b2 = cls.env["res.partner"].create( + { + "name": "HH B2", + "is_registrant": True, + "is_group": True, + "area_id": cls.area_2.id, + } + ) + + # Create individuals for each household + cls.indiv_a1 = cls.env["res.partner"].create( + { + "name": "Indiv A1", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_1.id, + "birthdate": date(1990, 1, 1), + } + ) + cls.indiv_a2 = cls.env["res.partner"].create( + { + "name": "Indiv A2", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_1.id, + "birthdate": date(2000, 6, 15), + } + ) + cls.indiv_b1 = cls.env["res.partner"].create( + { + "name": "Indiv B1", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_2.id, + "birthdate": date(1985, 3, 20), + } + ) + cls.indiv_b2 = cls.env["res.partner"].create( + { + "name": "Indiv B2", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_2.id, + "birthdate": date(1975, 11, 30), + } + ) + + # Create group memberships + Membership = cls.env["spp.group.membership"] + Membership.create({"group": cls.group_a1.id, "individual": cls.indiv_a1.id}) + Membership.create({"group": cls.group_a2.id, "individual": cls.indiv_a2.id}) + Membership.create({"group": cls.group_b1.id, "individual": cls.indiv_b1.id}) + Membership.create({"group": cls.group_b2.id, "individual": cls.indiv_b2.id}) + + # Create a program + cls.program = cls.env["spp.program"].create({"name": "Test CCT Program"}) + + # Enroll group_a1 and group_b1 (2 of 4 households) + cls.env["spp.program.membership"].create( + { + "partner_id": cls.group_a1.id, + "program_id": cls.program.id, + "state": "enrolled", + } + ) + cls.env["spp.program.membership"].create( + { + "partner_id": cls.group_b1.id, + "program_id": cls.program.id, + "state": "enrolled", + } + ) + + # All group IDs for reference + cls.all_group_ids = {cls.group_a1.id, cls.group_a2.id, cls.group_b1.id, cls.group_b2.id} + cls.enrolled_group_ids = {cls.group_a1.id, cls.group_b1.id} + cls.not_enrolled_group_ids = {cls.group_a2.id, cls.group_b2.id} + + def _get_service(self): + from ..services.spatial_query_service import SpatialQueryService + + return SpatialQueryService(self.env) + + +class TestPopulationFilterSQL(TestPopulationFilter): + """Test _build_population_filter_sql() directly.""" + + def test_no_filter_returns_empty(self): + """Without population_filter, no SQL clause is generated.""" + service = self._get_service() + sql, params = service._build_population_filter_sql(None) + self.assertEqual(sql, "") + self.assertEqual(params, []) + + def test_empty_dict_returns_empty(self): + """Empty population_filter dict generates no SQL clause.""" + service = self._get_service() + sql, params = service._build_population_filter_sql({}) + self.assertEqual(sql, "") + self.assertEqual(params, []) + + def test_program_filter_generates_sql(self): + """Program filter generates SQL with program membership subquery.""" + service = self._get_service() + sql, params = service._build_population_filter_sql({"program": self.program.id}) + self.assertIn("spp_program_membership", sql) + self.assertIn("AND p.id IN", sql) + self.assertEqual(params, [self.program.id]) + + def test_program_filter_restricts_results(self): + """Program filter restricts registrant IDs to enrolled beneficiaries.""" + service = self._get_service() + + # Build filter SQL + pop_sql, pop_params = service._build_population_filter_sql({"program": self.program.id}) + + # Execute a query using the filter to verify it works + all_ids = list(self.all_group_ids) + query = f""" + SELECT p.id FROM res_partner p + WHERE p.id IN %s {pop_sql} + """ + params = [tuple(all_ids)] + pop_params + self.env.cr.execute(query, params) + result_ids = {row[0] for row in self.env.cr.fetchall()} + + self.assertEqual(result_ids, self.enrolled_group_ids) + + def test_unknown_program_id_returns_empty(self): + """Program ID with no enrollees returns no results (but valid SQL).""" + service = self._get_service() + + # Use a non-existent program ID + pop_sql, pop_params = service._build_population_filter_sql({"program": 999999}) + + # SQL should still be valid, just match nothing + all_ids = list(self.all_group_ids) + query = f""" + SELECT p.id FROM res_partner p + WHERE p.id IN %s {pop_sql} + """ + params = [tuple(all_ids)] + pop_params + self.env.cr.execute(query, params) + result_ids = {row[0] for row in self.env.cr.fetchall()} + + self.assertEqual(result_ids, set()) + + def test_invalid_mode_raises_error(self): + """Invalid mode value raises ValueError.""" + service = self._get_service() + with self.assertRaises(ValueError): + service._build_population_filter_sql({"program": self.program.id, "mode": "invalid_mode"}) + + def test_non_integer_program_raises_error(self): + """Non-integer program value raises ValueError.""" + service = self._get_service() + with self.assertRaises(ValueError): + service._build_population_filter_sql({"program": "not_an_int"}) + + +class TestPopulationFilterCEL(TestPopulationFilter): + """Test CEL expression filter functionality.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + # Create a simple CEL expression that always evaluates to true + # (matches all groups). Use 'true' which is the simplest valid CEL. + cls.cel_expression = cls.env["spp.cel.expression"].create( + { + "name": "Test All Groups", + "code": "test_all_groups", + "expression_type": "filter", + "cel_expression": "true", + "output_type": "boolean", + "context_type": "group", + } + ) + + def test_cel_filter_generates_sql(self): + """CEL expression filter generates SQL with matching IDs.""" + service = self._get_service() + sql, params = service._build_population_filter_sql({"cel_expression": "test_all_groups"}) + # Should produce a valid filter (the 'true' expression matches all groups) + if sql == "AND false": + self.skipTest("CEL expression matched no groups in test DB") + self.assertIn("AND p.id IN", sql) + self.assertIn("unnest", sql) + + def test_cel_filter_unknown_code_returns_false(self): + """Unknown CEL expression code returns 'AND false' (empty results).""" + service = self._get_service() + sql, params = service._build_population_filter_sql({"cel_expression": "nonexistent_expression_code"}) + self.assertEqual(sql, "AND false") + self.assertEqual(params, []) + + def test_individual_context_resolves_to_groups(self): + """Individual-context CEL expressions resolve matched individuals to their groups.""" + # Create an individual-context expression matching adults (age >= 18) + self.env["spp.cel.expression"].create( + { + "name": "Test Adults", + "code": "test_adults_18", + "expression_type": "filter", + "cel_expression": "age_years(r.birthdate) >= 18", + "output_type": "boolean", + "context_type": "individual", + } + ) + + service = self._get_service() + sql, params = service._build_population_filter_sql({"cel_expression": "test_adults_18"}) + + # Should not be "AND false" since our test individuals are all adults + self.assertNotEqual(sql, "AND false", "Individual CEL expression should match adult individuals") + self.assertIn("AND p.id IN", sql) + + # Verify the matched IDs are group IDs (not individual IDs) + # Execute against all groups to verify they're matched + all_ids = list(self.all_group_ids) + query = f""" + SELECT p.id FROM res_partner p + WHERE p.id IN %s {sql} + """ + exec_params = [tuple(all_ids)] + params + self.env.cr.execute(query, exec_params) + result_ids = {row[0] for row in self.env.cr.fetchall()} + + # All 4 groups should match (all individuals are adults born 1975-2000) + self.assertEqual(result_ids, self.all_group_ids) + + def test_individual_context_no_match_returns_false(self): + """Individual-context expression matching no individuals returns AND false.""" + # Create an expression matching very old people (age >= 200) + self.env["spp.cel.expression"].create( + { + "name": "Test Ancient", + "code": "test_ancient", + "expression_type": "filter", + "cel_expression": "age_years(r.birthdate) >= 200", + "output_type": "boolean", + "context_type": "individual", + } + ) + + service = self._get_service() + sql, params = service._build_population_filter_sql({"cel_expression": "test_ancient"}) + self.assertEqual(sql, "AND false") + + +class TestPopulationFilterCombined(TestPopulationFilter): + """Test combined program + CEL filter modes.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + # Create a CEL expression that matches all groups (true) + cls.cel_expression = cls.env["spp.cel.expression"].create( + { + "name": "Test Match All", + "code": "test_match_all", + "expression_type": "filter", + "cel_expression": "true", + "output_type": "boolean", + "context_type": "group", + } + ) + + def test_and_mode_with_program_and_cel(self): + """AND mode generates SQL with both program and CEL conditions.""" + service = self._get_service() + sql, params = service._build_population_filter_sql( + { + "program": self.program.id, + "cel_expression": "test_match_all", + "mode": "and", + } + ) + if sql == "AND false": + self.skipTest("CEL expression matched no groups in test DB") + # Should have both program membership and CEL subqueries + self.assertIn("spp_program_membership", sql) + self.assertIn("unnest", sql) + self.assertEqual(sql.count("AND p.id IN"), 2) + + def test_or_mode_with_program_and_cel(self): + """OR mode generates SQL combining program and CEL with OR.""" + service = self._get_service() + sql, params = service._build_population_filter_sql( + { + "program": self.program.id, + "cel_expression": "test_match_all", + "mode": "or", + } + ) + if sql == "AND false": + self.skipTest("CEL expression matched no groups in test DB") + self.assertIn("OR", sql) + + def test_gap_mode_with_program_and_cel(self): + """Gap mode generates SQL: matches CEL but NOT in program.""" + service = self._get_service() + sql, params = service._build_population_filter_sql( + { + "program": self.program.id, + "cel_expression": "test_match_all", + "mode": "gap", + } + ) + if sql == "AND false": + self.skipTest("CEL expression matched no groups in test DB") + self.assertIn("NOT IN", sql) + self.assertIn("spp_program_membership", sql) + + def test_gap_mode_excludes_enrolled(self): + """Gap mode returns CEL matches that are NOT enrolled in the program.""" + service = self._get_service() + pop_sql, pop_params = service._build_population_filter_sql( + { + "program": self.program.id, + "cel_expression": "test_match_all", + "mode": "gap", + } + ) + if pop_sql == "AND false": + self.skipTest("CEL expression matched no groups in test DB") + + # Execute against all groups + all_ids = list(self.all_group_ids) + query = f""" + SELECT p.id FROM res_partner p + WHERE p.id IN %s {pop_sql} + """ + params = [tuple(all_ids)] + pop_params + self.env.cr.execute(query, params) + result_ids = {row[0] for row in self.env.cr.fetchall()} + + # Gap = CEL matches (all) minus enrolled (a1, b1) = not enrolled (a2, b2) + self.assertEqual(result_ids, self.not_enrolled_group_ids) + + +class TestPopulationFilterBatchQuery(TestPopulationFilter): + """Test population filter with batch spatial queries.""" + + def test_batch_query_passes_filter(self): + """Population filter is applied in batch queries.""" + service = self._get_service() + + geometries = [ + { + "id": "zone_1", + "geometry": { + "type": "Polygon", + "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + }, + }, + ] + + # Query without filter + result_all = service.query_statistics_batch(geometries=geometries) + + # Query with program filter + result_filtered = service.query_statistics_batch( + geometries=geometries, + population_filter={"program": self.program.id}, + ) + + # Both should return valid structure + self.assertIn("results", result_all) + self.assertIn("results", result_filtered) + self.assertEqual(len(result_all["results"]), 1) + self.assertEqual(len(result_filtered["results"]), 1) + + # Filtered count should be <= unfiltered count + self.assertLessEqual( + result_filtered["results"][0]["total_count"], + result_all["results"][0]["total_count"], + ) + + +class TestPopulationFilterProcessDescription(TransactionCase): + """Test population_filter in process descriptions.""" + + def test_spatial_statistics_has_population_filter(self): + """Spatial statistics process description includes population_filter input.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + process = registry.get_process("spatial-statistics") + + self.assertIn("population_filter", process["inputs"]) + + pf = process["inputs"]["population_filter"] + self.assertEqual(pf["title"], "Population Filter") + self.assertEqual(pf["minOccurs"], 0) + + schema = pf["schema"] + self.assertEqual(schema["type"], "object") + self.assertIn("program", schema["properties"]) + self.assertIn("cel_expression", schema["properties"]) + self.assertIn("mode", schema["properties"]) + + # Mode should have enum with and/or/gap + mode_schema = schema["properties"]["mode"] + self.assertEqual(mode_schema["enum"], ["and", "or", "gap"]) + self.assertEqual(mode_schema["default"], "and") + + def test_proximity_statistics_has_population_filter(self): + """Proximity statistics process description includes population_filter input.""" + from ..services.process_registry import ProcessRegistry + + registry = ProcessRegistry(self.env) + process = registry.get_process("proximity-statistics") + + self.assertIn("population_filter", process["inputs"]) + + def test_process_description_includes_program_metadata(self): + """x-openspp-programs contains program IDs and names when programs exist.""" + from ..services.process_registry import ProcessRegistry + + # Create a program to ensure metadata is populated + program = self.env["spp.program"].create({"name": "Test Discovery Program"}) + + registry = ProcessRegistry(self.env) + process = registry.get_process("spatial-statistics") + pf = process["inputs"]["population_filter"] + + self.assertIn("x-openspp-programs", pf) + programs = pf["x-openspp-programs"] + program_ids = [p["id"] for p in programs] + self.assertIn(program.id, program_ids) + + # Each program metadata should have id and name + test_prog = next(p for p in programs if p["id"] == program.id) + self.assertEqual(test_prog["name"], "Test Discovery Program") + + def test_process_description_includes_expression_metadata(self): + """x-openspp-expressions contains expression codes and names.""" + from ..services.process_registry import ProcessRegistry + + # Create a CEL expression + expr = self.env["spp.cel.expression"].create( + { + "name": "Test Discovery Expression", + "code": "test_discovery_expr", + "expression_type": "filter", + "cel_expression": "true", + "output_type": "boolean", + "context_type": "group", + } + ) + + registry = ProcessRegistry(self.env) + process = registry.get_process("spatial-statistics") + pf = process["inputs"]["population_filter"] + + self.assertIn("x-openspp-expressions", pf) + expressions = pf["x-openspp-expressions"] + expr_codes = [e["code"] for e in expressions] + self.assertIn(expr.code, expr_codes) + + # Each expression metadata should have code, name, context_type + test_expr = next(e for e in expressions if e["code"] == expr.code) + self.assertEqual(test_expr["name"], "Test Discovery Expression") + self.assertEqual(test_expr["context_type"], "group") + + def test_process_description_without_programs(self): + """Population filter input works when no programs exist.""" + from ..services.process_registry import ProcessRegistry + + # Delete all programs to test empty state + self.env["spp.program"].search([]).unlink() + + registry = ProcessRegistry(self.env) + process = registry.get_process("spatial-statistics") + pf = process["inputs"]["population_filter"] + + # Should still have the input, just without enum/metadata + self.assertEqual(pf["schema"]["type"], "object") + self.assertNotIn("enum", pf["schema"]["properties"]["program"]) diff --git a/spp_api_v2_gis/tests/test_statistics_endpoint.py b/spp_api_v2_gis/tests/test_statistics_endpoint.py index f3c4b819..0eef86df 100644 --- a/spp_api_v2_gis/tests/test_statistics_endpoint.py +++ b/spp_api_v2_gis/tests/test_statistics_endpoint.py @@ -64,9 +64,9 @@ def setUpClass(cls): cls.gis_stat_2 = cls.env["spp.statistic"].create( { - "name": "disabled_members_disc", - "label": "Disabled Members", - "description": "Count of members with disability", + "name": "pwd_members_disc", + "label": "Members with Disability", + "description": "Count of members with a recorded disability", "variable_id": cls.cel_variable.id, "format": "count", "unit": "people", @@ -100,9 +100,9 @@ def test_get_published_by_category_returns_gis_stats(self): demo_names = [s.name for s in by_category["demographics"]] self.assertIn("total_households_disc", demo_names) - # Vulnerability should contain disabled_members + # Vulnerability should contain pwd_members vuln_names = [s.name for s in by_category["vulnerability"]] - self.assertIn("disabled_members_disc", vuln_names) + self.assertIn("pwd_members_disc", vuln_names) def test_non_gis_stats_excluded(self): """Test that non-GIS statistics are excluded.""" diff --git a/spp_cel_domain/models/cel_sql_builder.py b/spp_cel_domain/models/cel_sql_builder.py index 423b0c8d..f5ed3101 100644 --- a/spp_cel_domain/models/cel_sql_builder.py +++ b/spp_cel_domain/models/cel_sql_builder.py @@ -361,6 +361,42 @@ def union(self, queries: list[SQL]) -> SQL: result = SQL("(%s UNION %s)", result, query) return result + # ========================================================================= + # CASE WHEN Builder + # ========================================================================= + + def case_when(self, condition: SQL, then_expr: SQL, else_expr: SQL) -> SQL: + """Build a CASE WHEN ... THEN ... ELSE ... END expression. + + Args: + condition: SQL boolean expression for the WHEN clause + then_expr: SQL expression for the THEN result + else_expr: SQL expression for the ELSE result + + Returns: + SQL CASE expression + """ + return SQL("(CASE WHEN %s THEN %s ELSE %s END)", condition, then_expr, else_expr) + + def comparison(self, left: SQL, op: str, right: SQL) -> SQL | None: + """Build a SQL comparison expression from two SQL operands. + + Uses operator whitelist to prevent injection (same pattern as term()). + + Args: + left: Left-hand SQL expression + op: Comparison operator (=, !=, >, >=, <, <=) + right: Right-hand SQL expression + + Returns: + SQL comparison or None if operator is unsupported + """ + op_sql_map = {"=": "=", "==": "=", "!=": "!=", ">": ">", ">=": ">=", "<": "<", "<=": "<="} + sql_op = op_sql_map.get(op) + if sql_op is None: + return None + return SQL("%s " + sql_op + " %s", left, right) + # ========================================================================= # Helpers for Default Domain Processing # ========================================================================= diff --git a/spp_cel_domain/models/cel_translator.py b/spp_cel_domain/models/cel_translator.py index 0389bc70..e55db291 100644 --- a/spp_cel_domain/models/cel_translator.py +++ b/spp_cel_domain/models/cel_translator.py @@ -6,6 +6,7 @@ from odoo import api, fields, models from odoo.fields import Domain +from odoo.tools.sql import SQL from ..exceptions import CELMetricsUnavailableError, CELValidationError from ..services import cel_parser as P @@ -1390,6 +1391,284 @@ def invalidate_cache(self): """Invalidate the translation cache. Call when profiles or system settings change.""" invalidate_translation_cache() + # ========================================================================= + # CEL → SQL CASE WHEN (value expression compiler) + # ========================================================================= + + @api.model + def to_sql_case(self, expression: str, model: str, alias: str, cfg: dict[str, Any] | None = None) -> SQL | None: + """Compile a CEL expression to a SQL value expression. + + Unlike translate() which produces Odoo domain filters (for WHERE clauses), + this produces a SQL expression that returns a value (for SELECT columns). + Primarily used for CASE WHEN expressions from CEL ternaries. + + Args: + expression: CEL expression string + model: Odoo model name (e.g., "res.partner") + alias: SQL table alias (e.g., "ind") + cfg: Optional configuration dictionary + + Returns: + SQL object representing the value expression, or None if the + expression cannot be compiled to SQL (caller should fall back + to Python evaluation). + """ + try: + ast = P.parse(expression) + return self._ast_to_sql_expr(ast, model, alias, cfg or {}, {}) + except (NotImplementedError, CELValidationError): + return None + except (SyntaxError, ValueError, KeyError, AttributeError) as e: + _logger.warning("CEL to SQL compilation failed for '%s': %s", expression[:80], e) + return None + + def _ast_to_sql_expr( # noqa: C901 + self, + node: Any, + model: str, + alias: str, + cfg: dict[str, Any], + ctx: dict[str, Any], + ) -> SQL | None: + """Recursively compile a CEL AST node to a SQL expression. + + Returns SQL for supported nodes, None for unsupported ones. + """ + # --- Ternary -> CASE with multiple WHEN clauses --- + if isinstance(node, P.Ternary): + return self._ternary_to_case_sql(node, model, alias, cfg, ctx) + + # --- Literals --- + if isinstance(node, P.Literal): + if node.value is None: + return SQL("NULL") + if isinstance(node.value, bool): + return SQL("TRUE") if node.value else SQL("FALSE") + if isinstance(node.value, str): + return SQL("%s", node.value) + if isinstance(node.value, int | float): + return SQL("%s", node.value) + return None + + # --- Compare --- + if isinstance(node, P.Compare): + return self._compare_to_sql(node, model, alias, cfg, ctx) + + # --- Ident / Attr -> column reference --- + if isinstance(node, P.Ident): + if node.name == "r": + # "r" alone doesn't make sense as a value expression + return None + # CEL reserved words that are values + if node.name == "null": + return SQL("NULL") + if node.name == "true": + return SQL("TRUE") + if node.name == "false": + return SQL("FALSE") + # Plain field name + field_name = self._normalize_field_name(model, node.name) + return SQL("%s.%s", SQL.identifier(alias), SQL.identifier(field_name)) + + if isinstance(node, P.Attr): + return self._attr_to_sql_column(node, model, alias, cfg, ctx) + + # --- Boolean connectives --- + if isinstance(node, P.And): + left = self._ast_to_sql_expr(node.left, model, alias, cfg, ctx) + right = self._ast_to_sql_expr(node.right, model, alias, cfg, ctx) + if left is None or right is None: + return None + return SQL("(%s AND %s)", left, right) + + if isinstance(node, P.Or): + left = self._ast_to_sql_expr(node.left, model, alias, cfg, ctx) + right = self._ast_to_sql_expr(node.right, model, alias, cfg, ctx) + if left is None or right is None: + return None + return SQL("(%s OR %s)", left, right) + + if isinstance(node, P.Not): + expr = self._ast_to_sql_expr(node.expr, model, alias, cfg, ctx) + if expr is None: + return None + return SQL("NOT (%s)", expr) + + # --- Unsupported: BinOp, Neg, InOp, Call --- + return None + + def _ternary_to_case_sql( + self, + node: P.Ternary, + model: str, + alias: str, + cfg: dict[str, Any], + ctx: dict[str, Any], + ) -> SQL | None: + """Flatten a chain of nested Ternary nodes into a single CASE expression. + + CEL: a ? x : b ? y : c ? z : w + SQL: CASE WHEN a THEN x WHEN b THEN y WHEN c THEN z ELSE w END + + This avoids nested CASE WHEN that causes SQL type mismatch issues. + """ + when_clauses = [] + current = node + + while isinstance(current, P.Ternary): + cond_sql = self._ast_to_sql_expr(current.condition, model, alias, cfg, ctx) + then_sql = self._ast_to_sql_expr(current.true_expr, model, alias, cfg, ctx) + if cond_sql is None or then_sql is None: + return None + when_clauses.append((cond_sql, then_sql)) + current = current.false_expr + + # The final false_expr is the ELSE value + else_sql = self._ast_to_sql_expr(current, model, alias, cfg, ctx) + if else_sql is None: + return None + + # Build: CASE WHEN c1 THEN v1 WHEN c2 THEN v2 ... ELSE vn END + parts = [SQL("CASE")] + for cond, then in when_clauses: + parts.append(SQL("WHEN %s THEN %s", cond, then)) + parts.append(SQL("ELSE %s END", else_sql)) + + return SQL(" ").join(parts) + + def _compare_to_sql( + self, + cmp: P.Compare, + model: str, + alias: str, + cfg: dict[str, Any], + ctx: dict[str, Any], + ) -> SQL | None: + """Compile a Compare AST node to a SQL boolean expression.""" + from .cel_sql_builder import SQLBuilder + + builder = SQLBuilder(self.env) + opmap = {"EQ": "=", "NE": "!=", "GT": ">", "GE": ">=", "LT": "<", "LE": "<="} + + # --- age_years(r.field) N -> date arithmetic --- + if ( + isinstance(cmp.left, P.Call) + and isinstance(cmp.left.func, P.Ident) + and cmp.left.func.name == "age_years" + and cmp.left.args + ): + return self._age_years_compare_to_sql(cmp, model, alias, cfg, ctx, opmap) + + # --- null comparisons: field == null / field != null --- + right_is_null = (isinstance(cmp.right, P.Literal) and cmp.right.value is None) or ( + isinstance(cmp.right, P.Ident) and cmp.right.name == "null" + ) + left_is_null = (isinstance(cmp.left, P.Literal) and cmp.left.value is None) or ( + isinstance(cmp.left, P.Ident) and cmp.left.name == "null" + ) + + if right_is_null: + left_sql = self._ast_to_sql_expr(cmp.left, model, alias, cfg, ctx) + if left_sql is None: + return None + if cmp.op == "EQ": + return SQL("%s IS NULL", left_sql) + elif cmp.op == "NE": + return SQL("%s IS NOT NULL", left_sql) + return None + + if left_is_null: + right_sql = self._ast_to_sql_expr(cmp.right, model, alias, cfg, ctx) + if right_sql is None: + return None + if cmp.op == "EQ": + return SQL("%s IS NULL", right_sql) + elif cmp.op == "NE": + return SQL("%s IS NOT NULL", right_sql) + return None + + # --- general comparison: left right --- + sql_op = opmap.get(cmp.op) + if sql_op is None: + return None + + left_sql = self._ast_to_sql_expr(cmp.left, model, alias, cfg, ctx) + right_sql = self._ast_to_sql_expr(cmp.right, model, alias, cfg, ctx) + if left_sql is None or right_sql is None: + return None + + return builder.comparison(left_sql, sql_op, right_sql) + + def _age_years_compare_to_sql( + self, + cmp: P.Compare, + model: str, + alias: str, + cfg: dict[str, Any], + ctx: dict[str, Any], + opmap: dict[str, str], + ) -> SQL | None: + """Compile age_years(r.field) N to date arithmetic SQL. + + age_years(r.birthdate) < 18 becomes: + r.birthdate > CURRENT_DATE - INTERVAL '18 years' + + The operator inversion matches _cmp_to_leaf() logic. + """ + # Resolve the field being passed to age_years() + field_arg = cmp.left.args[0] + field_sql = self._ast_to_sql_expr(field_arg, model, alias, cfg, ctx) + if field_sql is None: + return None + + # The right side must be a numeric literal + if not isinstance(cmp.right, P.Literal) or not isinstance(cmp.right.value, int | float): + return None + + n = int(cmp.right.value) + interval_n = SQL("CURRENT_DATE - INTERVAL %s", f"{n} years") + + op = cmp.op + if op == "LT": + # age < n => birthdate > cutoff (younger than n) + return SQL("%s > %s", field_sql, interval_n) + elif op == "LE": + # age <= n => birthdate >= cutoff + return SQL("%s >= %s", field_sql, interval_n) + elif op == "GT": + # age > n => birthdate < cutoff (older than n) + return SQL("%s < %s", field_sql, interval_n) + elif op == "GE": + # age >= n => birthdate <= cutoff + return SQL("%s <= %s", field_sql, interval_n) + elif op == "EQ": + # age == n => birthdate in (cutoff_{n+1}, cutoff_n] + interval_n1 = SQL("CURRENT_DATE - INTERVAL %s", f"{n + 1} years") + return SQL("(%s > %s AND %s <= %s)", field_sql, interval_n1, field_sql, interval_n) + elif op == "NE": + # age != n => birthdate <= cutoff_{n+1} OR birthdate > cutoff_n + interval_n1 = SQL("CURRENT_DATE - INTERVAL %s", f"{n + 1} years") + return SQL("(%s <= %s OR %s > %s)", field_sql, interval_n1, field_sql, interval_n) + + return None + + def _attr_to_sql_column( + self, + node: P.Attr, + model: str, + alias: str, + cfg: dict[str, Any], + ctx: dict[str, Any], + ) -> SQL | None: + """Compile an Attr node (e.g., r.birthdate) to a SQL column reference.""" + if isinstance(node.obj, P.Ident) and node.obj.name == "r": + field_name = self._normalize_field_name(model, node.name) + return SQL("%s.%s", SQL.identifier(alias), SQL.identifier(field_name)) + + # Nested attr (e.g., r.gender_id.code) - not supported in value context + return None + def _negate_leaf(self, plan): if not isinstance(plan, LeafDomain): return None diff --git a/spp_cel_domain/services/cel_parser.py b/spp_cel_domain/services/cel_parser.py index 98dcc282..8222781b 100644 --- a/spp_cel_domain/services/cel_parser.py +++ b/spp_cel_domain/services/cel_parser.py @@ -524,7 +524,7 @@ def led(self, left: Any, tok: Token) -> Any: if tok.kind == "QUESTION": true_expr = self.expr(0) # Parse until we hit COLON self.eat("COLON") - false_expr = self.expr(self.PRECEDENCE["QUESTION"]) # Right-associative + false_expr = self.expr(self.PRECEDENCE["QUESTION"] - 1) # Right-associative return Ternary(left, true_expr, false_expr) raise SyntaxError(f"Unexpected infix token {tok.kind}") diff --git a/spp_cel_domain/tests/__init__.py b/spp_cel_domain/tests/__init__.py index 325ae510..ce88e49f 100644 --- a/spp_cel_domain/tests/__init__.py +++ b/spp_cel_domain/tests/__init__.py @@ -13,6 +13,7 @@ from . import test_cel_sql_robustness from . import test_cel_unrecognized_functions from . import test_sql_builder +from . import test_cel_sql_case # ADR-008: CEL Variable Integration tests from . import test_cel_variable diff --git a/spp_cel_domain/tests/test_cel_sql_case.py b/spp_cel_domain/tests/test_cel_sql_case.py new file mode 100644 index 00000000..b22d8884 --- /dev/null +++ b/spp_cel_domain/tests/test_cel_sql_case.py @@ -0,0 +1,176 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for to_sql_case() CEL-to-SQL CASE WHEN compilation.""" + +from odoo.tests import TransactionCase, tagged +from odoo.tools.sql import SQL + + +@tagged("post_install", "-at_install") +class TestToSqlCase(TransactionCase): + """Test CelTranslator.to_sql_case() for CEL-to-SQL value expression compilation.""" + + def setUp(self): + super().setUp() + self.translator = self.env["spp.cel.translator"] + + def _sql_to_str(self, sql_obj): + """Convert SQL object to string for assertion checking.""" + return str(sql_obj) + + def test_simple_ternary(self): + """Test ternary compiles to CASE WHEN.""" + expr = 'r.is_group == true ? "group" : "individual"' + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNotNone(result) + self.assertIsInstance(result, SQL) + sql_str = self._sql_to_str(result) + self.assertIn("CASE WHEN", sql_str) + self.assertIn("THEN", sql_str) + self.assertIn("ELSE", sql_str) + self.assertIn("END", sql_str) + + def test_null_comparison(self): + """Test field == null compiles to IS NULL.""" + expr = 'r.birthdate == null ? "unknown" : "known"' + result = self.translator.to_sql_case(expr, "res.partner", "ind") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + self.assertIn("IS NULL", sql_str) + + def test_null_ne_comparison(self): + """Test field != null compiles to IS NOT NULL.""" + expr = 'r.birthdate != null ? "known" : "unknown"' + result = self.translator.to_sql_case(expr, "res.partner", "ind") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + self.assertIn("IS NOT NULL", sql_str) + + def test_age_years_less_than(self): + """Test age_years(r.birthdate) < N compiles to date arithmetic.""" + expr = 'age_years(r.birthdate) < 18 ? "child" : "adult"' + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + self.assertIn("CASE WHEN", sql_str) + self.assertIn("CURRENT_DATE", sql_str) + self.assertIn("18 years", sql_str) + # age < 18 => birthdate > cutoff (younger) + self.assertIn(">", sql_str) + + def test_age_years_greater_equal(self): + """Test age_years(r.birthdate) >= N.""" + expr = 'age_years(r.birthdate) >= 60 ? "elderly" : "not_elderly"' + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + self.assertIn("60 years", sql_str) + # age >= 60 => birthdate <= cutoff + self.assertIn("<=", sql_str) + + def test_nested_ternary(self): + """Test nested ternary compiles to nested CASE WHEN.""" + expr = ( + 'r.birthdate == null ? "unknown" : ' + 'age_years(r.birthdate) < 18 ? "child" : ' + 'age_years(r.birthdate) < 60 ? "adult" : "elderly"' + ) + result = self.translator.to_sql_case(expr, "res.partner", "ind") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + # Should be a single flattened CASE with multiple WHEN clauses + self.assertEqual(sql_str.count("CASE"), 1) + self.assertIn("IS NULL", sql_str) + self.assertIn("18 years", sql_str) + self.assertIn("60 years", sql_str) + + def test_field_comparison(self): + """Test simple field comparison compiles to SQL.""" + expr = 'r.is_group == true ? "group" : "individual"' + result = self.translator.to_sql_case(expr, "res.partner", "t") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + self.assertIn("is_group", sql_str) + + def test_literal_string(self): + """Test string literals compile to SQL parameters.""" + # A simple ternary with string results + expr = 'r.active == true ? "active" : "inactive"' + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNotNone(result) + + def test_unsupported_expression_returns_none(self): + """Test unsupported CEL expressions return None (Python fallback).""" + # BinOp (arithmetic) is unsupported + expr = "r.age + 1" + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNone(result) + + def test_unsupported_function_returns_none(self): + """Test unsupported function calls return None.""" + # standalone age_years() as a value (not in a comparison) is unsupported + expr = "age_years(r.birthdate)" + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNone(result) + + def test_invalid_expression_returns_none(self): + """Test invalid CEL expressions return None.""" + result = self.translator.to_sql_case("???invalid!!!", "res.partner", "p") + self.assertIsNone(result) + + def test_age_years_eq(self): + """Test age_years(r.birthdate) == N compiles to range check.""" + expr = 'age_years(r.birthdate) == 25 ? "exactly_25" : "other"' + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + # EQ uses range: birthdate in (cutoff_{n+1}, cutoff_n] + self.assertIn("25 years", sql_str) + self.assertIn("26 years", sql_str) + + def test_boolean_connectives(self): + """Test And/Or/Not in conditions compile to SQL.""" + expr = 'r.is_group == true && r.active == true ? "active_group" : "other"' + result = self.translator.to_sql_case(expr, "res.partner", "p") + self.assertIsNotNone(result) + sql_str = self._sql_to_str(result) + self.assertIn("AND", sql_str) + + +@tagged("post_install", "-at_install") +class TestSQLBuilderCaseWhen(TransactionCase): + """Test SQLBuilder.case_when() and comparison() methods.""" + + def setUp(self): + super().setUp() + from odoo.addons.spp_cel_domain.models.cel_sql_builder import SQLBuilder + + self.builder = SQLBuilder(self.env) + + def test_case_when(self): + """Test case_when produces CASE WHEN ... THEN ... ELSE ... END.""" + result = self.builder.case_when( + SQL("x IS NULL"), + SQL("%s", "unknown"), + SQL("%s", "known"), + ) + sql_str = str(result) + self.assertIn("CASE WHEN", sql_str) + self.assertIn("THEN", sql_str) + self.assertIn("ELSE", sql_str) + self.assertIn("END", sql_str) + + def test_comparison_valid_ops(self): + """Test comparison with valid operators.""" + for op in ("=", "!=", ">", ">=", "<", "<="): + result = self.builder.comparison(SQL("a"), op, SQL("b")) + self.assertIsNotNone(result, f"Operator {op} should be supported") + + def test_comparison_invalid_op(self): + """Test comparison with invalid operator returns None.""" + result = self.builder.comparison(SQL("a"), "LIKE", SQL("b")) + self.assertIsNone(result) + + def test_comparison_double_equals(self): + """Test == is normalized to =.""" + result = self.builder.comparison(SQL("a"), "==", SQL("b")) + self.assertIsNotNone(result) diff --git a/spp_demo/data/countries/phl/areas.xml b/spp_demo/data/countries/phl/areas.xml index 6f25bc10..eadd5ff6 100644 --- a/spp_demo/data/countries/phl/areas.xml +++ b/spp_demo/data/countries/phl/areas.xml @@ -1,213 +1,1030 @@ - - - - - National Capital Region - PH-00 - - - - - CALABARZON - PH-40 - - - - - - - Metro Manila - PH-00-MM - - - - - + + + + Region IV-A (Calabarzon) + PH04 + + + + National Capital Region (NCR) + PH13 + + + + + Batangas + PH04010 + + + + Cavite - PH-40-21 - - + PH04021 + + - - + Laguna - PH-40-34 - - + PH04034 + + - - + + Quezon + PH04056 + + + + Rizal - PH-40-58 - - + PH04058 + + - - - - Quezon City - PH-00-74 - - + + Metropolitan Manila First District + PH13039 + + - - - City of Manila - PH-00-39 - - - - - - Makati City - PH-00-38 - - - - - - Taguig City - PH-00-79 - - - - - - Pasig City - PH-00-76 - - - - - - - Calamba City - PH-40-34-08 - - - - - - Santa Rosa City - PH-40-34-26 - - - - - - San Pablo City - PH-40-34-24 - - - - - - Antipolo City - PH-40-58-01 - - - - - + + Metropolitan Manila Second District + PH13074 + + + + + Metropolitan Manila Third District + PH13075 + + + + + Metropolitan Manila Fourth District + PH13076 + + + + + + Agoncillo + PH0401001 + + + + + Alitagtag + PH0401002 + + + + + Balayan + PH0401003 + + + + + Balete + PH0401004 + + + + + Batangas City (Capital) + PH0401005 + + + + + Bauan + PH0401006 + + + + + City of Calaca + PH0401007 + + + + + Calatagan + PH0401008 + + + + + Cuenca + PH0401009 + + + + + Ibaan + PH0401010 + + + + + Laurel + PH0401011 + + + + + Lemery + PH0401012 + + + + + Lian + PH0401013 + + + + + Lipa City + PH0401014 + + + + + Lobo + PH0401015 + + + + + Mabini + PH0401016 + + + + + Malvar + PH0401017 + + + + + Mataasnakahoy + PH0401018 + + + + + Nasugbu + PH0401019 + + + + + Padre Garcia + PH0401020 + + + + + Rosario + PH0401021 + + + + + San Jose + PH0401022 + + + + + San Juan + PH0401023 + + + + + San Luis + PH0401024 + + + + + San Nicolas + PH0401025 + + + + + San Pascual + PH0401026 + + + + + Santa Teresita + PH0401027 + + + + + City of Sto. Tomas + PH0401028 + + + + + Taal + PH0401029 + + + + + Talisay + PH0401030 + + + + + City of Tanauan + PH0401031 + + + + + Taysan + PH0401032 + + + + + Tingloy + PH0401033 + + + + + Tuy + PH0401034 + + + + + Alfonso + PH0402101 + + + + + Amadeo + PH0402102 + + + + Bacoor City - PH-40-21-03 - - - - - - Dasmarinas City - PH-40-21-09 - - - - - - - Loyola Heights - PH-00-74-061 - - - - - - Commonwealth - PH-00-74-028 - - - - - - Fairview - PH-00-74-044 - - - - - - - Poblacion - PH-00-38-020 - - - - - - Bel-Air - PH-00-38-004 - - - - - - + PH0402103 + + + + + Carmona + PH0402104 + + + + + Cavite City + PH0402105 + + + + + City of Dasmariñas + PH0402106 + + + + + General Emilio Aguinaldo + PH0402107 + + + + + City of General Trias + PH0402108 + + + + + Imus City + PH0402109 + + + + + Indang + PH0402110 + + + + + Kawit + PH0402111 + + + + + Magallanes + PH0402112 + + + + + Maragondon + PH0402113 + + + + + Mendez (Mendez-Nuñez) + PH0402114 + + + + + Naic + PH0402115 + + + + + Noveleta + PH0402116 + + + + + Rosario + PH0402117 + + + + + Silang + PH0402118 + + + + + Tagaytay City + PH0402119 + + + + + Tanza + PH0402120 + + + + + Ternate + PH0402121 + + + + + Trece Martires City (Capital) + PH0402122 + + + + + Gen. Mariano Alvarez + PH0402123 + + + + + Alaminos + PH0403401 + + + + + Bay + PH0403402 + + + + + City of Biñan + PH0403403 + + + + + Cabuyao City + PH0403404 + + + + + City of Calamba + PH0403405 + + + + + Calauan + PH0403406 + + + + + Cavinti + PH0403407 + + + + + Famy + PH0403408 + + + + + Kalayaan + PH0403409 + + + + + Liliw + PH0403410 + + + + + Los Baños + PH0403411 + + + + + Luisiana + PH0403412 + + + + + Lumban + PH0403413 + + + + + Mabitac + PH0403414 + + + + + Magdalena + PH0403415 + + + + + Majayjay + PH0403416 + + + + + Nagcarlan + PH0403417 + + + + + Paete + PH0403418 + + + + + Pagsanjan + PH0403419 + + + + + Pakil + PH0403420 + + + + + Pangil + PH0403421 + + + + + Pila + PH0403422 + + + + + Rizal + PH0403423 + + + + + San Pablo City + PH0403424 + + + + + City of San Pedro + PH0403425 + + + + + Santa Cruz (Capital) + PH0403426 + + + + + Santa Maria + PH0403427 + + + + + City of Santa Rosa + PH0403428 + + + + + Siniloan + PH0403429 + + + + + Victoria + PH0403430 + + + + + 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Supports three ways to assign areas: - 1. area_ref: Direct XML ID reference (e.g., 'spp_demo.area_phl_ncr_quezon_city') + 1. area_ref: Direct XML ID reference (e.g., 'spp_demo.area_phl_ph1307404') 2. area_kind: Pick random area of specified kind (e.g., 'municipality') 3. Fallback: Pick any available area diff --git a/spp_demo/models/demo_stories.py b/spp_demo/models/demo_stories.py index 7e648af7..ad37717c 100644 --- a/spp_demo/models/demo_stories.py +++ b/spp_demo/models/demo_stories.py @@ -100,7 +100,7 @@ "farm_size_hectares": 2.5, # CEL: Input Subsidy eligibility "farm_type": "crop", "main_crop": "rice", - "area_ref": "spp_demo.area_phl_quezon_city", + "area_ref": "spp_demo.area_phl_ph1307404", "area_kind": "municipality", "marital_status": "married", "household_size": 5, @@ -244,7 +244,7 @@ "farm_size_hectares": 8.0, # CEL: Large livestock farm "farm_type": "livestock", "main_livestock": "dairy", - "area_ref": "spp_demo.area_phl_calamba", + "area_ref": "spp_demo.area_phl_ph0403405", "area_kind": "municipality", "marital_status": "married", "household_size": 6, @@ -280,7 +280,7 @@ "farm_size_hectares": 3.0, # CEL: Youth farmer eligibility "farm_type": "crop", "main_crop": "mixed_vegetables", - "area_ref": "spp_demo.area_phl_antipolo", + "area_ref": "spp_demo.area_phl_ph0405802", "area_kind": "municipality", "marital_status": "single", "household_size": 2, @@ -318,7 +318,7 @@ "farm_size": 2.0, "farm_size_hectares": 2.0, # CEL: Household farm size "child_count": 3, # CEL: Child benefit eligibility - "area_ref": "spp_demo.area_phl_santa_rosa", + "area_ref": "spp_demo.area_phl_ph0403428", "area_kind": "municipality", }, "journey": [ @@ -357,7 +357,7 @@ "vulnerability": ["single_parent", "low_income", "female_headed"], "vulnerability_score": 80, # CEL: High vulnerability - single parent household "child_count": 3, # CEL: Child benefit eligibility - "area_ref": "spp_demo.area_phl_makati", + "area_ref": "spp_demo.area_phl_ph1307602", "area_kind": "municipality", }, "journey": [ @@ -403,7 +403,7 @@ "farm_size": 5.0, "farm_size_hectares": 5.0, # CEL: Multi-generational household farm "child_count": 3, # CEL: Children under 18 (excluding 18-year-old) - "area_ref": "spp_demo.area_phl_quezon_city", + "area_ref": "spp_demo.area_phl_ph1307404", "area_kind": "municipality", "vulnerability": ["elderly_members"], }, @@ -481,7 +481,7 @@ "child_count": 3, # CEL: Children under 18 (Xiao, Yan, Bo) "farm_type": "crop", "main_crop": "rice", - "area_ref": "spp_demo.area_phl_antipolo", + "area_ref": "spp_demo.area_phl_ph0405802", "area_kind": "municipality", }, "journey": [ @@ -525,7 +525,7 @@ "vulnerability": ["elderly", "health_issues", "limited_mobility"], "vulnerability_score": 70, # CEL: Elderly couple vulnerability "has_formal_pension": False, # CEL: Elderly pension eligibility - "area_ref": "spp_demo.area_phl_calamba", + "area_ref": "spp_demo.area_phl_ph0403405", "area_kind": "municipality", }, "journey": [ @@ -574,7 +574,7 @@ "farm_size": 6.0, "farm_size_hectares": 6.0, # CEL: Extended family farm "farm_type": "mixed", - "area_ref": "spp_demo.area_phl_santa_rosa", + "area_ref": "spp_demo.area_phl_ph0403428", "area_kind": "municipality", "vulnerability": ["disability"], "vulnerability_score": 65, # CEL: Disability in household @@ -690,7 +690,7 @@ "farm_size_hectares": 1.5, # CEL: Small farm household "disabled_count": 1, # CEL: Disability Support Grant eligibility "child_count": 1, - "area_ref": "spp_demo.area_phl_makati", + "area_ref": "spp_demo.area_phl_ph1307602", "area_kind": "municipality", }, "journey": [ diff --git a/spp_demo_phl_luzon/__init__.py b/spp_demo_phl_luzon/__init__.py new file mode 100644 index 00000000..d3361032 --- /dev/null +++ b/spp_demo_phl_luzon/__init__.py @@ -0,0 +1,2 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from . import models diff --git a/spp_demo_phl_luzon/__manifest__.py b/spp_demo_phl_luzon/__manifest__.py new file mode 100644 index 00000000..243a6e23 --- /dev/null +++ b/spp_demo_phl_luzon/__manifest__.py @@ -0,0 +1,33 @@ +# pylint: disable=pointless-statement +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +{ + "name": "OpenSPP Demo: Philippines Luzon Geodata", + "category": "OpenSPP/Demo", + "version": "19.0.1.0.0", + "author": "OpenSPP.org", + "website": "https://github.com/OpenSPP/OpenSPP2", + "license": "LGPL-3", + "development_status": "Beta", + "summary": "Philippine Luzon administrative boundaries and population weights for demo data generation", + "description": """ + Provides Philippine Luzon geodata for the OpenSPP demo generator. + + Includes area records for regions, provinces, and municipalities of Luzon, + polygon shapes in GeoJSON format, and population weights for realistic + geographic distribution of generated demo registrants. + + Administrative boundary data sourced from OCHA Humanitarian Data Exchange + (HDX) COD-AB dataset. Source: PSA and NAMRIA. License: CC BY-IGO. + """, + "depends": ["spp_demo"], + "data": [ + # Security + "security/ir.model.access.csv", + ], + "assets": {}, + "demo": [], + "images": [], + "application": False, + "installable": True, + "auto_install": False, +} diff --git a/spp_demo_phl_luzon/data/areas_luzon.xml b/spp_demo_phl_luzon/data/areas_luzon.xml new file mode 100644 index 00000000..e6be7f9a --- /dev/null +++ b/spp_demo_phl_luzon/data/areas_luzon.xml @@ -0,0 +1,4930 @@ + + + + + + Region I (Ilocos Region) + PH01 + + + + Region II (Cagayan Valley) + PH02 + + + + Region III (Central Luzon) + PH03 + + + + Region IV-A (Calabarzon) + PH04 + + + + Region V (Bicol Region) + PH05 + + + + National Capital Region (NCR) + PH13 + + + + Cordillera Administrative Region (CAR) + PH14 + + + + Mimaropa Region + PH17 + + + + + Ilocos Norte + PH01028 + + + + + Ilocos Sur + PH01029 + + + + + La Union + PH01033 + + + + + Pangasinan + PH01055 + + + + + Batanes + PH02009 + + + + + Cagayan + PH02015 + + + + + Isabela + 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PH1705308 + + + + + Coron + PH1705309 + + + + + Cuyo + PH1705310 + + + + + Dumaran + PH1705311 + + + + + El Nido (Bacuit) + PH1705312 + + + + + Linapacan + PH1705313 + + + + + Magsaysay + PH1705314 + + + + + Narra + PH1705315 + + + + + Puerto Princesa City (Capital) + PH1705316 + + + + + Quezon + PH1705317 + + + + + Roxas + PH1705318 + + + + + San Vicente + PH1705319 + + + + + Taytay + PH1705320 + + + + + Kalayaan + PH1705321 + + + + + Culion + PH1705322 + + + + + Rizal (Marcos) + PH1705323 + + + + + Sofronio Española + PH1705324 + + + + + Alcantara + PH1705901 + + + + + Banton + PH1705902 + + + + + Cajidiocan + PH1705903 + + + + + Calatrava + PH1705904 + + + + + Concepcion + PH1705905 + + + + + Corcuera + PH1705906 + + + + + Looc + PH1705907 + + + + + Magdiwang + PH1705908 + + + + + Odiongan + PH1705909 + + + + + Romblon (Capital) + PH1705910 + + + + + San Agustin + PH1705911 + + + + + San Andres + PH1705912 + + + + + San Fernando + PH1705913 + + + + + San Jose + PH1705914 + + + + + Santa Fe + PH1705915 + + + + + Ferrol + PH1705916 + + + + + Santa Maria (Imelda) + PH1705917 + + + + \ No newline at end of file diff --git a/spp_demo_phl_luzon/data/population_weights.csv b/spp_demo_phl_luzon/data/population_weights.csv new file mode 100644 index 00000000..f3b92877 --- /dev/null +++ b/spp_demo_phl_luzon/data/population_weights.csv @@ -0,0 +1,772 @@ +pcode,name,province_pcode,region_pcode,population +PH0102801,Adams,PH01028,PH01,1835 +PH0102802,Bacarra,PH01028,PH01,32994 +PH0102803,Badoc,PH01028,PH01,32480 +PH0102804,Bangui,PH01028,PH01,15079 +PH0102805,City of Batac,PH01028,PH01,56702 +PH0102806,Burgos,PH01028,PH01,10013 +PH0102807,Carasi,PH01028,PH01,1708 +PH0102808,Currimao,PH01028,PH01,12523 +PH0102809,Dingras,PH01028,PH01,40386 +PH0102810,Dumalneg,PH01028,PH01,3589 +PH0102811,Banna (Espiritu),PH01028,PH01,19981 +PH0102812,Laoag City (Capital),PH01028,PH01,120140 +PH0102813,Marcos,PH01028,PH01,18789 +PH0102814,Nueva Era,PH01028,PH01,13273 +PH0102815,Pagudpud,PH01028,PH01,26960 +PH0102816,Paoay,PH01028,PH01,25871 +PH0102817,Pasuquin,PH01028,PH01,30085 +PH0102818,Piddig,PH01028,PH01,22580 +PH0102819,Pinili,PH01028,PH01,17867 +PH0102820,San Nicolas,PH01028,PH01,40691 +PH0102821,Sarrat,PH01028,PH01,25854 +PH0102822,Solsona,PH01028,PH01,25610 +PH0102823,Vintar,PH01028,PH01,33190 +PH0102901,Alilem,PH01029,PH01,6879 +PH0102902,Banayoyo,PH01029,PH01,7961 +PH0102903,Bantay,PH01029,PH01,37208 +PH0102904,Burgos,PH01029,PH01,12860 +PH0102905,Cabugao,PH01029,PH01,39709 +PH0102906,City of Candon,PH01029,PH01,63852 +PH0102907,Caoayan,PH01029,PH01,21806 +PH0102908,Cervantes,PH01029,PH01,17840 +PH0102909,Galimuyod,PH01029,PH01,11863 +PH0102910,Gregorio del Pilar (Concepcion),PH01029,PH01,6182 +PH0102911,Lidlidda,PH01029,PH01,4977 +PH0102912,Magsingal,PH01029,PH01,34851 +PH0102913,Nagbukel,PH01029,PH01,5717 +PH0102914,Narvacan,PH01029,PH01,45324 +PH0102915,Quirino (Angkaki),PH01029,PH01,8801 +PH0102916,Salcedo (Baugen),PH01029,PH01,11647 +PH0102917,San Emilio,PH01029,PH01,7570 +PH0102918,San Esteban,PH01029,PH01,8716 +PH0102919,San Ildefonso,PH01029,PH01,9008 +PH0102920,San Juan (Lapog),PH01029,PH01,27857 +PH0102921,San Vicente,PH01029,PH01,14454 +PH0102922,Santa,PH01029,PH01,15800 +PH0102923,Santa Catalina,PH01029,PH01,14353 +PH0102924,Santa Cruz,PH01029,PH01,42318 +PH0102925,Santa Lucia,PH01029,PH01,26163 +PH0102926,Santa Maria,PH01029,PH01,32687 +PH0102927,Santiago,PH01029,PH01,19661 +PH0102928,Santo Domingo,PH01029,PH01,28813 +PH0102929,Sigay,PH01029,PH01,3336 +PH0102930,Sinait,PH01029,PH01,26408 +PH0102931,Sugpon,PH01029,PH01,6247 +PH0102932,Suyo,PH01029,PH01,12722 +PH0102933,Tagudin,PH01029,PH01,41004 +PH0102934,City of Vigan (Capital),PH01029,PH01,60461 +PH0103301,Agoo,PH01033,PH01,68193 +PH0103302,Aringay,PH01033,PH01,51244 +PH0103303,Bacnotan,PH01033,PH01,44474 +PH0103304,Bagulin,PH01033,PH01,14868 +PH0103305,Balaoan,PH01033,PH01,40657 +PH0103306,Bangar,PH01033,PH01,37812 +PH0103307,Bauang,PH01033,PH01,81734 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Quintin,PH01055,PH01,33897 +PH0105538,Santa Barbara,PH01055,PH01,90554 +PH0105539,Santa Maria,PH01055,PH01,35997 +PH0105540,Santo Tomas,PH01055,PH01,15794 +PH0105541,Sison,PH01055,PH01,53428 +PH0105542,Sual,PH01055,PH01,39307 +PH0105543,Tayug,PH01055,PH01,48327 +PH0105544,Umingan,PH01055,PH01,82968 +PH0105545,Urbiztondo,PH01055,PH01,53338 +PH0105546,City of Urdaneta,PH01055,PH01,144094 +PH0105547,Villasis,PH01055,PH01,66940 +PH0105548,Laoac,PH01055,PH01,34726 +PH0200901,Basco (Capital),PH02009,PH02,9890 +PH0200902,Itbayat,PH02009,PH02,2677 +PH0200903,Ivana,PH02009,PH02,1470 +PH0200904,Mahatao,PH02009,PH02,1537 +PH0200905,Sabtang,PH02009,PH02,1602 +PH0200906,Uyugan,PH02009,PH02,1395 +PH0201501,Abulug,PH02015,PH02,35725 +PH0201502,Alcala,PH02015,PH02,40749 +PH0201503,Allacapan,PH02015,PH02,36957 +PH0201504,Amulung,PH02015,PH02,52603 +PH0201505,Aparri,PH02015,PH02,73686 +PH0201506,Baggao,PH02015,PH02,90913 +PH0201507,Ballesteros,PH02015,PH02,38020 +PH0201508,Buguey,PH02015,PH02,33227 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Soliven,PH02031,PH02,33207 +PH0203105,Burgos,PH02031,PH02,25393 +PH0203106,Cabagan,PH02031,PH02,57569 +PH0203107,Cabatuan,PH02031,PH02,42125 +PH0203108,City of Cauayan,PH02031,PH02,138950 +PH0203109,Cordon,PH02031,PH02,45344 +PH0203110,Dinapigue,PH02031,PH02,5181 +PH0203111,Divilacan,PH02031,PH02,6896 +PH0203112,Echague,PH02031,PH02,84904 +PH0203113,Gamu,PH02031,PH02,31214 +PH0203114,Ilagan City (Capital),PH02031,PH02,161253 +PH0203115,Jones,PH02031,PH02,47503 +PH0203116,Luna,PH02031,PH02,21086 +PH0203117,Maconacon,PH02031,PH02,5568 +PH0203118,Delfin Albano (Magsaysay),PH02031,PH02,27950 +PH0203119,Mallig,PH02031,PH02,33604 +PH0203120,Naguilian,PH02031,PH02,35641 +PH0203121,Palanan,PH02031,PH02,18971 +PH0203122,Quezon,PH02031,PH02,27535 +PH0203123,Quirino,PH02031,PH02,28224 +PH0203124,Ramon,PH02031,PH02,56479 +PH0203125,Reina Mercedes,PH02031,PH02,33801 +PH0203126,Roxas,PH02031,PH02,67677 +PH0203127,San Agustin,PH02031,PH02,24150 +PH0203128,San Guillermo,PH02031,PH02,23150 +PH0203129,San Isidro,PH02031,PH02,28294 +PH0203130,San Manuel,PH02031,PH02,33623 +PH0203131,San Mariano,PH02031,PH02,61288 +PH0203132,San Mateo,PH02031,PH02,69487 +PH0203133,San Pablo,PH02031,PH02,31923 +PH0203134,Santa Maria,PH02031,PH02,29595 +PH0203135,City of Santiago,PH02031,PH02,140287 +PH0203136,Santo Tomas,PH02031,PH02,24766 +PH0203137,Tumauini,PH02031,PH02,85833 +PH0205001,Ambaguio,PH02050,PH02,18663 +PH0205002,Aritao,PH02050,PH02,38988 +PH0205003,Bagabag,PH02050,PH02,36900 +PH0205004,Bambang,PH02050,PH02,64041 +PH0205005,Bayombong (Capital),PH02050,PH02,67655 +PH0205006,Diadi,PH02050,PH02,20928 +PH0205007,Dupax del Norte,PH02050,PH02,30228 +PH0205008,Dupax del Sur,PH02050,PH02,20352 +PH0205009,Kasibu,PH02050,PH02,45832 +PH0205010,Kayapa,PH02050,PH02,27670 +PH0205011,Quezon,PH02050,PH02,23769 +PH0205012,Santa Fe,PH02050,PH02,19402 +PH0205013,Solano,PH02050,PH02,64189 +PH0205014,Villaverde,PH02050,PH02,19400 +PH0205015,Alfonso Castaneda,PH02050,PH02,8696 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(Bitulok & Sabani),PH03049,PH03,42223 +PH0304908,City of Gapan,PH03049,PH03,129275 +PH0304909,General Mamerto Natividad,PH03049,PH03,52934 +PH0304910,General Tinio (Papaya),PH03049,PH03,59642 +PH0304911,Guimba,PH03049,PH03,149969 +PH0304912,Jaen,PH03049,PH03,86446 +PH0304913,Laur,PH03049,PH03,43275 +PH0304914,Licab,PH03049,PH03,32659 +PH0304915,Llanera,PH03049,PH03,47330 +PH0304916,Lupao,PH03049,PH03,49809 +PH0304917,Science City of Muñoz,PH03049,PH03,94329 +PH0304918,Nampicuan,PH03049,PH03,18678 +PH0304919,Palayan City (Capital),PH03049,PH03,49432 +PH0304920,Pantabangan,PH03049,PH03,35511 +PH0304921,Peñaranda,PH03049,PH03,35225 +PH0304922,Quezon,PH03049,PH03,49274 +PH0304923,Rizal,PH03049,PH03,79692 +PH0304924,San Antonio,PH03049,PH03,87816 +PH0304925,San Isidro,PH03049,PH03,59744 +PH0304926,San Jose City,PH03049,PH03,161740 +PH0304927,San Leonardo,PH03049,PH03,81479 +PH0304928,Santa Rosa,PH03049,PH03,80021 +PH0304929,Santo Domingo,PH03049,PH03,73887 +PH0304930,Talavera,PH03049,PH03,152094 +PH0304931,Talugtug,PH03049,PH03,29475 +PH0304932,Zaragoza,PH03049,PH03,61185 +PH0305401,Angeles City,PH03054,PH03,607553 +PH0305402,Apalit,PH03054,PH03,117133 +PH0305403,Arayat,PH03054,PH03,153970 +PH0305404,Bacolor,PH03054,PH03,57494 +PH0305405,Candaba,PH03054,PH03,126529 +PH0305406,Floridablanca,PH03054,PH03,151312 +PH0305407,Guagua,PH03054,PH03,125837 +PH0305408,Lubao,PH03054,PH03,175369 +PH0305409,Mabalacat City,PH03054,PH03,319865 +PH0305410,Macabebe,PH03054,PH03,83460 +PH0305411,Magalang,PH03054,PH03,128823 +PH0305412,Masantol,PH03054,PH03,64611 +PH0305413,Mexico,PH03054,PH03,164818 +PH0305414,Minalin,PH03054,PH03,53625 +PH0305415,Porac,PH03054,PH03,147251 +PH0305416,City of San Fernando (Capital),PH03054,PH03,337932 +PH0305417,San Luis,PH03054,PH03,62117 +PH0305418,San Simon,PH03054,PH03,61371 +PH0305419,Santa Ana,PH03054,PH03,59639 +PH0305420,Santa Rita,PH03054,PH03,44000 +PH0305421,Sto. Tomas,PH03054,PH03,43918 +PH0305422,Sasmuan (Sexmoan),PH03054,PH03,29160 +PH0306901,Anao,PH03069,PH03,12705 +PH0306902,Bamban,PH03069,PH03,82133 +PH0306903,Camiling,PH03069,PH03,88914 +PH0306904,Capas,PH03069,PH03,165988 +PH0306905,Concepcion,PH03069,PH03,179856 +PH0306906,Gerona,PH03069,PH03,95585 +PH0306907,La Paz,PH03069,PH03,69548 +PH0306908,Mayantoc,PH03069,PH03,36234 +PH0306909,Moncada,PH03069,PH03,60955 +PH0306910,Paniqui,PH03069,PH03,101413 +PH0306911,Pura,PH03069,PH03,25177 +PH0306912,Ramos,PH03069,PH03,23342 +PH0306913,San Clemente,PH03069,PH03,13037 +PH0306914,San Manuel,PH03069,PH03,27717 +PH0306915,Santa Ignacia,PH03069,PH03,54218 +PH0306916,City of Tarlac (Capital),PH03069,PH03,385548 +PH0306917,Victoria,PH03069,PH03,70403 +PH0306918,San Jose,PH03069,PH03,40352 +PH0307101,Botolan,PH03071,PH03,62637 +PH0307102,Cabangan,PH03071,PH03,28624 +PH0307103,Candelaria,PH03071,PH03,30718 +PH0307104,Castillejos,PH03071,PH03,102752 +PH0307105,Iba (Capital),PH03071,PH03,56565 +PH0307106,Masinloc,PH03071,PH03,53117 +PH0307107,Olongapo City,PH03071,PH03,250352 +PH0307108,Palauig,PH03071,PH03,37320 +PH0307109,San Antonio,PH03071,PH03,37239 +PH0307110,San Felipe,PH03071,PH03,24873 +PH0307111,San Marcelino,PH03071,PH03,36304 +PH0307112,San Narciso,PH03071,PH03,30373 +PH0307113,Santa Cruz,PH03071,PH03,65070 +PH0307114,Subic,PH03071,PH03,133774 +PH0307701,Baler (Capital),PH03077,PH03,46421 +PH0307702,Casiguran,PH03077,PH03,24942 +PH0307703,Dilasag,PH03077,PH03,16126 +PH0307704,Dinalungan,PH03077,PH03,11776 +PH0307705,Dingalan,PH03077,PH03,29047 +PH0307706,Dipaculao,PH03077,PH03,33254 +PH0307707,Maria Aurora,PH03077,PH03,45513 +PH0307708,San Luis,PH03077,PH03,30758 +PH0401001,Agoncillo,PH04010,PH04,42224 +PH0401002,Alitagtag,PH04010,PH04,28395 +PH0401003,Balayan,PH04010,PH04,108900 +PH0401004,Balete,PH04010,PH04,27783 +PH0401005,Batangas City (Capital),PH04010,PH04,376528 +PH0401006,Bauan,PH04010,PH04,112160 +PH0401007,City of Calaca,PH04010,PH04,107182 +PH0401008,Calatagan,PH04010,PH04,65135 +PH0401009,Cuenca,PH04010,PH04,35487 +PH0401010,Ibaan,PH04010,PH04,61862 +PH0401011,Laurel,PH04010,PH04,47114 +PH0401012,Lemery,PH04010,PH04,117590 +PH0401013,Lian,PH04010,PH04,67325 +PH0401014,Lipa City,PH04010,PH04,443596 +PH0401015,Lobo,PH04010,PH04,50761 +PH0401016,Mabini,PH04010,PH04,49258 +PH0401017,Malvar,PH04010,PH04,81506 +PH0401018,Mataasnakahoy,PH04010,PH04,32998 +PH0401019,Nasugbu,PH04010,PH04,157271 +PH0401020,Padre Garcia,PH04010,PH04,54836 +PH0401021,Rosario,PH04010,PH04,139577 +PH0401022,San Jose,PH04010,PH04,94739 +PH0401023,San Juan,PH04010,PH04,140059 +PH0401024,San Luis,PH04010,PH04,37859 +PH0401025,San Nicolas,PH04010,PH04,26681 +PH0401026,San Pascual,PH04010,PH04,77092 +PH0401027,Santa Teresita,PH04010,PH04,30067 +PH0401028,City of Sto. Tomas,PH04010,PH04,354593 +PH0401029,Taal,PH04010,PH04,65907 +PH0401030,Talisay,PH04010,PH04,57703 +PH0401031,City of Tanauan,PH04010,PH04,218522 +PH0401032,Taysan,PH04010,PH04,43045 +PH0401033,Tingloy,PH04010,PH04,19841 +PH0401034,Tuy,PH04010,PH04,49447 +PH0402101,Alfonso,PH04021,PH04,54385 +PH0402102,Amadeo,PH04021,PH04,42772 +PH0402103,Bacoor City,PH04021,PH04,677401 +PH0402104,Carmona,PH04021,PH04,159420 +PH0402105,Cavite City,PH04021,PH04,105453 +PH0402106,City of Dasmariñas,PH04021,PH04,731079 +PH0402107,General Emilio Aguinaldo,PH04021,PH04,34632 +PH0402108,City of General Trias,PH04021,PH04,382242 +PH0402109,Imus City,PH04021,PH04,696201 +PH0402110,Indang,PH04021,PH04,68332 +PH0402111,Kawit,PH04021,PH04,88002 +PH0402112,Magallanes,PH04021,PH04,24289 +PH0402113,Maragondon,PH04021,PH04,42526 +PH0402114,Mendez (Mendez-Nuñez),PH04021,PH04,35021 +PH0402115,Naic,PH04021,PH04,172565 +PH0402116,Noveleta,PH04021,PH04,49662 +PH0402117,Rosario,PH04021,PH04,155221 +PH0402118,Silang,PH04021,PH04,295835 +PH0402119,Tagaytay City,PH04021,PH04,82346 +PH0402120,Tanza,PH04021,PH04,271173 +PH0402121,Ternate,PH04021,PH04,32468 +PH0402122,Trece Martires City (Capital),PH04021,PH04,247501 +PH0402123,Gen. Mariano Alvarez,PH04021,PH04,190962 +PH0403401,Alaminos,PH04034,PH04,53831 +PH0403402,Bay,PH04034,PH04,71214 +PH0403403,City of Biñan,PH04034,PH04,407862 +PH0403404,Cabuyao City,PH04034,PH04,406308 +PH0403405,City of Calamba,PH04034,PH04,551805 +PH0403406,Calauan,PH04034,PH04,87846 +PH0403407,Cavinti,PH04034,PH04,22818 +PH0403408,Famy,PH04034,PH04,18759 +PH0403409,Kalayaan,PH04034,PH04,26522 +PH0403410,Liliw,PH04034,PH04,40247 +PH0403411,Los Baños,PH04034,PH04,125958 +PH0403412,Luisiana,PH04034,PH04,20192 +PH0403413,Lumban,PH04034,PH04,32118 +PH0403414,Mabitac,PH04034,PH04,23176 +PH0403415,Magdalena,PH04034,PH04,28423 +PH0403416,Majayjay,PH04034,PH04,29363 +PH0403417,Nagcarlan,PH04034,PH04,67342 +PH0403418,Paete,PH04034,PH04,27161 +PH0403419,Pagsanjan,PH04034,PH04,45942 +PH0403420,Pakil,PH04034,PH04,21452 +PH0403421,Pangil,PH04034,PH04,25626 +PH0403422,Pila,PH04034,PH04,55329 +PH0403423,Rizal,PH04034,PH04,19683 +PH0403424,San Pablo City,PH04034,PH04,288703 +PH0403425,City of San Pedro,PH04034,PH04,369652 +PH0403426,Santa Cruz (Capital),PH04034,PH04,126246 +PH0403427,Santa Maria,PH04034,PH04,36672 +PH0403428,City of Santa Rosa,PH04034,PH04,465544 +PH0403429,Siniloan,PH04034,PH04,41673 +PH0403430,Victoria,PH04034,PH04,46128 +PH0405601,Agdangan,PH04056,PH04,15313 +PH0405602,Alabat,PH04056,PH04,15976 +PH0405603,Atimonan,PH04056,PH04,66158 +PH0405605,Buenavista,PH04056,PH04,31566 +PH0405606,Burdeos,PH04056,PH04,31702 +PH0405607,Calauag,PH04056,PH04,79782 +PH0405608,Candelaria,PH04056,PH04,129276 +PH0405610,Catanauan,PH04056,PH04,80526 +PH0405615,Dolores,PH04056,PH04,30803 +PH0405616,General Luna,PH04056,PH04,28307 +PH0405617,General Nakar,PH04056,PH04,37250 +PH0405618,Guinayangan,PH04056,PH04,51499 +PH0405619,Gumaca,PH04056,PH04,81206 +PH0405620,Infanta,PH04056,PH04,76506 +PH0405621,Jomalig,PH04056,PH04,8374 +PH0405622,Lopez,PH04056,PH04,101810 +PH0405623,Lucban,PH04056,PH04,60494 +PH0405624,Lucena City (Capital),PH04056,PH04,302140 +PH0405625,Macalelon,PH04056,PH04,31282 +PH0405627,Mauban,PH04056,PH04,68143 +PH0405628,Mulanay,PH04056,PH04,56855 +PH0405629,Padre Burgos,PH04056,PH04,26892 +PH0405630,Pagbilao,PH04056,PH04,93080 +PH0405631,Panukulan,PH04056,PH04,15426 +PH0405632,Patnanungan,PH04056,PH04,15850 +PH0405633,Perez,PH04056,PH04,12587 +PH0405634,Pitogo,PH04056,PH04,25955 +PH0405635,Plaridel,PH04056,PH04,12158 +PH0405636,Polillo,PH04056,PH04,35088 +PH0405637,Quezon,PH04056,PH04,15641 +PH0405638,Real,PH04056,PH04,37046 +PH0405639,Sampaloc,PH04056,PH04,15283 +PH0405640,San Andres,PH04056,PH04,39600 +PH0405641,San Antonio,PH04056,PH04,36495 +PH0405642,San Francisco (Aurora),PH04056,PH04,67469 +PH0405644,San Narciso,PH04056,PH04,53850 +PH0405645,Sariaya,PH04056,PH04,166876 +PH0405646,Tagkawayan,PH04056,PH04,53248 +PH0405647,City of Tayabas,PH04056,PH04,115219 +PH0405648,Tiaong,PH04056,PH04,114628 +PH0405649,Unisan,PH04056,PH04,29857 +PH0405801,Angono,PH04058,PH04,122805 +PH0405802,City of Antipolo,PH04058,PH04,883851 +PH0405803,Baras,PH04058,PH04,188090 +PH0405804,Binangonan,PH04058,PH04,320067 +PH0405805,Cainta,PH04058,PH04,328649 +PH0405806,Cardona,PH04058,PH04,50135 +PH0405807,Jala-jala,PH04058,PH04,33585 +PH0405808,Rodriguez (Montalban),PH04058,PH04,476379 +PH0405809,Morong,PH04058,PH04,66188 +PH0405810,Pililla,PH04058,PH04,68590 +PH0405811,San Mateo,PH04058,PH04,345614 +PH0405812,Tanay,PH04058,PH04,157504 +PH0405813,Taytay,PH04058,PH04,344353 +PH0405814,Teresa,PH04058,PH04,78415 +PH0500501,Bacacay,PH05005,PH05,74035 +PH0500502,Camalig,PH05005,PH05,72375 +PH0500503,Daraga (Locsin),PH05005,PH05,147195 +PH0500504,Guinobatan,PH05005,PH05,94277 +PH0500505,Jovellar,PH05005,PH05,18011 +PH0500506,Legazpi City (Capital),PH05005,PH05,223161 +PH0500507,Libon,PH05005,PH05,81138 +PH0500508,City of Ligao,PH05005,PH05,122596 +PH0500509,Malilipot,PH05005,PH05,41624 +PH0500510,Malinao,PH05005,PH05,49621 +PH0500511,Manito,PH05005,PH05,28211 +PH0500512,Oas,PH05005,PH05,73097 +PH0500513,Pio Duran,PH05005,PH05,49140 +PH0500514,Polangui,PH05005,PH05,98829 +PH0500515,Rapu-Rapu,PH05005,PH05,38714 +PH0500516,Santo Domingo (Libog),PH05005,PH05,39650 +PH0500517,City of Tabaco,PH05005,PH05,149538 +PH0500518,Tiwi,PH05005,PH05,58162 +PH0501601,Basud,PH05016,PH05,45318 +PH0501602,Capalonga,PH05016,PH05,34643 +PH0501603,Daet (Capital),PH05016,PH05,120333 +PH0501604,San Lorenzo Ruiz (Imelda),PH05016,PH05,16716 +PH0501605,Jose Panganiban,PH05016,PH05,65784 +PH0501606,Labo,PH05016,PH05,116402 +PH0501607,Mercedes,PH05016,PH05,55387 +PH0501608,Paracale,PH05016,PH05,69608 +PH0501609,San Vicente,PH05016,PH05,10937 +PH0501610,Santa Elena,PH05016,PH05,42253 +PH0501611,Talisay,PH05016,PH05,28884 +PH0501612,Vinzons,PH05016,PH05,47059 +PH0501701,Baao,PH05017,PH05,64247 +PH0501702,Balatan,PH05017,PH05,34096 +PH0501703,Bato,PH05017,PH05,57640 +PH0501704,Bombon,PH05017,PH05,18003 +PH0501705,Buhi,PH05017,PH05,81160 +PH0501706,Bula,PH05017,PH05,72690 +PH0501707,Cabusao,PH05017,PH05,19261 +PH0501708,Calabanga,PH05017,PH05,89653 +PH0501709,Camaligan,PH05017,PH05,26808 +PH0501710,Canaman,PH05017,PH05,36578 +PH0501711,Caramoan,PH05017,PH05,51123 +PH0501712,Del Gallego,PH05017,PH05,28960 +PH0501713,Gainza,PH05017,PH05,12617 +PH0501714,Garchitorena,PH05017,PH05,29535 +PH0501715,Goa,PH05017,PH05,70274 +PH0501716,Iriga City,PH05017,PH05,119306 +PH0501717,Lagonoy,PH05017,PH05,60546 +PH0501718,Libmanan,PH05017,PH05,121541 +PH0501719,Lupi,PH05017,PH05,34991 +PH0501720,Magarao,PH05017,PH05,27565 +PH0501721,Milaor,PH05017,PH05,35164 +PH0501722,Minalabac,PH05017,PH05,58624 +PH0501723,Nabua,PH05017,PH05,88476 +PH0501724,Naga City,PH05017,PH05,229587 +PH0501725,Ocampo,PH05017,PH05,49057 +PH0501726,Pamplona,PH05017,PH05,38880 +PH0501727,Pasacao,PH05017,PH05,53278 +PH0501728,Pili (Capital),PH05017,PH05,100222 +PH0501729,Presentacion (Parubcan),PH05017,PH05,22201 +PH0501730,Ragay,PH05017,PH05,62564 +PH0501731,Sagñay,PH05017,PH05,39507 +PH0501732,San Fernando,PH05017,PH05,37876 +PH0501733,San Jose,PH05017,PH05,43329 +PH0501734,Sipocot,PH05017,PH05,67901 +PH0501735,Siruma,PH05017,PH05,18598 +PH0501736,Tigaon,PH05017,PH05,66229 +PH0501737,Tinambac,PH05017,PH05,75022 +PH0502001,Bagamanoc,PH05020,PH05,11979 +PH0502002,Baras,PH05020,PH05,13459 +PH0502003,Bato,PH05020,PH05,22912 +PH0502004,Caramoran,PH05020,PH05,32721 +PH0502005,Gigmoto,PH05020,PH05,8706 +PH0502006,Pandan,PH05020,PH05,21822 +PH0502007,Panganiban (Payo),PH05020,PH05,9593 +PH0502008,San Andres (Calolbon),PH05020,PH05,38140 +PH0502009,San Miguel,PH05020,PH05,16127 +PH0502010,Viga,PH05020,PH05,22522 +PH0502011,Virac (Capital),PH05020,PH05,84335 +PH0504101,Aroroy,PH05041,PH05,101330 +PH0504102,Baleno,PH05041,PH05,28253 +PH0504103,Balud,PH05041,PH05,40952 +PH0504104,Batuan,PH05041,PH05,16929 +PH0504105,Cataingan,PH05041,PH05,51811 +PH0504106,Cawayan,PH05041,PH05,71845 +PH0504107,Claveria,PH05041,PH05,46120 +PH0504108,Dimasalang,PH05041,PH05,27131 +PH0504109,Esperanza,PH05041,PH05,20111 +PH0504110,Mandaon,PH05041,PH05,45394 +PH0504111,City of Masbate (Capital),PH05041,PH05,110369 +PH0504112,Milagros,PH05041,PH05,64169 +PH0504113,Mobo,PH05041,PH05,44499 +PH0504114,Monreal,PH05041,PH05,28022 +PH0504115,Palanas,PH05041,PH05,27136 +PH0504116,Pio V. Corpus (Limbuhan),PH05041,PH05,23921 +PH0504117,Placer,PH05041,PH05,57472 +PH0504118,San Fernando,PH05041,PH05,25392 +PH0504119,San Jacinto,PH05041,PH05,33615 +PH0504120,San Pascual,PH05041,PH05,48715 +PH0504121,Uson,PH05041,PH05,59029 +PH0506202,Barcelona,PH05062,PH05,21940 +PH0506203,Bulan,PH05062,PH05,110849 +PH0506204,Bulusan,PH05062,PH05,24091 +PH0506205,Casiguran,PH05062,PH05,36024 +PH0506206,Castilla,PH05062,PH05,67132 +PH0506207,Donsol,PH05062,PH05,53181 +PH0506208,Gubat,PH05062,PH05,62951 +PH0506209,Irosin,PH05062,PH05,65919 +PH0506210,Juban,PH05062,PH05,35809 +PH0506211,Magallanes,PH05062,PH05,39612 +PH0506212,Matnog,PH05062,PH05,47623 +PH0506213,Pilar,PH05062,PH05,86493 +PH0506214,Prieto Diaz,PH05062,PH05,26176 +PH0506215,Santa Magdalena,PH05062,PH05,17474 +PH0506216,City of Sorsogon (Capital),PH05062,PH05,192078 +PH1303901,City of Manila,PH13039,PH13,1957470 +PH1307401,City of Mandaluyong,PH13074,PH13,500647 +PH1307402,City of Marikina,PH13074,PH13,492046 +PH1307403,City of Pasig,PH13074,PH13,908251 +PH1307404,Quezon City,PH13074,PH13,3163105 +PH1307405,City of San Juan,PH13074,PH13,123609 +PH1307501,Caloocan City,PH13075,PH13,1700530 +PH1307502,City of Malabon,PH13075,PH13,376340 +PH1307503,City of Navotas,PH13075,PH13,250091 +PH1307504,City of Valenzuela,PH13075,PH13,681846 +PH1307601,City of Las Piñas,PH13076,PH13,641387 +PH1307602,City of Makati,PH13076,PH13,681731 +PH1307603,City of Muntinlupa,PH13076,PH13,577515 +PH1307604,City of Parañaque,PH13076,PH13,808234 +PH1307605,Pasay City,PH13076,PH13,441628 +PH1307606,Pateros,PH13076,PH13,65715 +PH1307607,Taguig City,PH13076,PH13,1151512 +PH1400101,Bangued (Capital),PH14001,PH14,53369 +PH1400102,Boliney,PH14001,PH14,3596 +PH1400103,Bucay,PH14001,PH14,17226 +PH1400104,Bucloc,PH14001,PH14,2734 +PH1400105,Daguioman,PH14001,PH14,2428 +PH1400106,Danglas,PH14001,PH14,4219 +PH1400107,Dolores,PH14001,PH14,11388 +PH1400108,La Paz,PH14001,PH14,15923 +PH1400109,Lacub,PH14001,PH14,3867 +PH1400110,Lagangilang,PH14001,PH14,14540 +PH1400111,Lagayan,PH14001,PH14,4560 +PH1400112,Langiden,PH14001,PH14,3241 +PH1400113,Licuan-Baay (Licuan),PH14001,PH14,4719 +PH1400114,Luba,PH14001,PH14,6380 +PH1400115,Malibcong,PH14001,PH14,3450 +PH1400116,Manabo,PH14001,PH14,10907 +PH1400117,Peñarrubia,PH14001,PH14,6730 +PH1400118,Pidigan,PH14001,PH14,13023 +PH1400119,Pilar,PH14001,PH14,10439 +PH1400120,Sallapadan,PH14001,PH14,7238 +PH1400121,San Isidro,PH14001,PH14,4604 +PH1400122,San Juan,PH14001,PH14,9931 +PH1400123,San Quintin,PH14001,PH14,5628 +PH1400124,Tayum,PH14001,PH14,14936 +PH1400125,Tineg,PH14001,PH14,5792 +PH1400126,Tubo,PH14001,PH14,5736 +PH1400127,Villaviciosa,PH14001,PH14,5465 +PH1401101,Atok,PH14011,PH14,20588 +PH1401102,Baguio City,PH14011,PH14,375055 +PH1401103,Bakun,PH14011,PH14,18055 +PH1401104,Bokod,PH14011,PH14,15039 +PH1401105,Buguias,PH14011,PH14,49645 +PH1401106,Itogon,PH14011,PH14,63300 +PH1401107,Kabayan,PH14011,PH14,17725 +PH1401108,Kapangan,PH14011,PH14,20151 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See LICENSE file for full copyright and licensing details. +from . import area_loader +from . import population_weights diff --git a/spp_demo_phl_luzon/models/area_loader.py b/spp_demo_phl_luzon/models/area_loader.py new file mode 100644 index 00000000..3b8e19f4 --- /dev/null +++ b/spp_demo_phl_luzon/models/area_loader.py @@ -0,0 +1,178 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +""" +Luzon Area Loader + +Loads the full Luzon administrative boundary hierarchy (8 regions, 42 provinces, +771 municipalities) from bundled XML data. Requires that spp_demo's area_kinds +have been loaded first (provides the area_type_id references). +""" + +import json +import logging +import xml.etree.ElementTree as ET + +from odoo import api, models +from odoo.tools.convert import convert_file +from odoo.tools.misc import file_path + +_logger = logging.getLogger(__name__) + + +class DemoLuzonAreaLoader(models.TransientModel): + _name = "spp.demo.luzon.area.loader" + _description = "Luzon Area Data Loader" + + @api.model + def load_luzon_areas(self, load_shapes=True): + """Load Luzon area hierarchy and optionally GeoJSON shapes. + + Must be called AFTER spp_demo's area_kinds have been loaded + (they provide the area_type_id references used in areas_luzon.xml). + + Args: + load_shapes: Whether to load GIS polygon shapes + + Returns: + dict: Result with counts of loaded data + """ + existing_count = self.env["spp.area"].search_count([]) + + # Pre-link overlapping areas so convert_file updates instead of inserting + self._link_existing_areas() + + # Load XML area records via convert_file + try: + convert_file( + self.env, + "spp_demo_phl_luzon", + "data/areas_luzon.xml", + idref={}, + mode="init", + noupdate=False, + ) + _logger.info("Loaded Luzon areas XML") + except Exception as e: + _logger.warning("Could not load Luzon areas: %s", e) + return {"areas_created": 0, "shapes_loaded": 0} + + new_count = self.env["spp.area"].search_count([]) + areas_created = new_count - existing_count + + # Load shapes if requested and GIS is available + shapes_loaded = 0 + if load_shapes and "geo_polygon" in self.env["spp.area"]._fields: + shapes_loaded = self._load_shapes() + + _logger.info( + "Luzon area loading complete: %d areas created, %d shapes loaded", + areas_created, + shapes_loaded, + ) + return {"areas_created": areas_created, "shapes_loaded": shapes_loaded} + + def _link_existing_areas(self): + """Create ir.model.data records for areas that already exist. + + The base spp_demo module may have already loaded some areas (e.g. NCR + and CALABARZON regions/provinces/municipalities) with XML IDs like + spp_demo.area_phl_ph04. The Luzon XML uses different XML IDs + (spp_demo_phl_luzon.area_luzon_ph04) for the same area codes. + + By pre-creating ir.model.data entries pointing to the existing + spp.area records, convert_file will update them instead of + trying to insert duplicates (which would violate the UNIQUE + constraint on spp_area.code). + """ + xml_path = file_path("spp_demo_phl_luzon/data/areas_luzon.xml") + tree = ET.parse(xml_path) # noqa: S314 + root = tree.getroot() + + # Collect (xml_id, code) pairs from the XML + xml_entries = [] + for record in root.iter("record"): + if record.get("model") != "spp.area": + continue + xml_id = record.get("id") + code = None + for field in record.iter("field"): + if field.get("name") == "code": + code = field.text + break + if xml_id and code: + xml_entries.append((xml_id, code)) + + if not xml_entries: + return + + # Find which codes already exist as spp.area records + codes = [code for _, code in xml_entries] + existing_areas = self.env["spp.area"].search([("code", "in", codes)]) + area_by_code = {a.code: a.id for a in existing_areas} + + # Check which xml_ids already have ir.model.data entries + IMD = self.env["ir.model.data"] + module = "spp_demo_phl_luzon" + existing_imd = IMD.search([("module", "=", module), ("model", "=", "spp.area")]) + existing_names = {r.name for r in existing_imd} + + # Create ir.model.data entries for overlapping areas + to_create = [] + for xml_id, code in xml_entries: + if xml_id in existing_names: + continue + area_id = area_by_code.get(code) + if area_id: + to_create.append( + { + "module": module, + "name": xml_id, + "model": "spp.area", + "res_id": area_id, + "noupdate": False, + } + ) + + if to_create: + IMD.create(to_create) + _logger.info("Pre-linked %d existing areas for Luzon XML loading", len(to_create)) + + def _load_shapes(self): + """Load GeoJSON polygon shapes for Luzon areas.""" + try: + geojson_path = file_path("spp_demo_phl_luzon/data/shapes/phl_luzon.geojson") + except FileNotFoundError: + _logger.warning("Luzon GeoJSON file not found") + return 0 + + try: + with open(geojson_path, encoding="utf-8") as f: + geojson_data = json.load(f) + except (OSError, json.JSONDecodeError) as e: + _logger.warning("Could not read Luzon GeoJSON: %s", e) + return 0 + + features = geojson_data.get("features", []) + shapes_loaded = 0 + + for feature in features: + properties = feature.get("properties", {}) + geometry = feature.get("geometry") + + code = properties.get("code") + if not code or not geometry: + continue + + area = self.env["spp.area"].search([("code", "=", code)], limit=1) + if not area: + continue + + try: + from shapely.geometry import shape + + geom = shape(geometry) + area.write({"geo_polygon": geom.wkt}) + shapes_loaded += 1 + except Exception as e: + _logger.warning("Could not set shape for %s: %s", code, e) + + return shapes_loaded diff --git a/spp_demo_phl_luzon/models/population_weights.py b/spp_demo_phl_luzon/models/population_weights.py new file mode 100644 index 00000000..d61c12ab --- /dev/null +++ b/spp_demo_phl_luzon/models/population_weights.py @@ -0,0 +1,62 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +import csv +import logging + +from odoo import models +from odoo.tools.misc import file_path + +_logger = logging.getLogger(__name__) + + +class DemoPopulationWeights(models.TransientModel): + _name = "spp.demo.population.weights" + _description = "Demo Population Weights" + + # Class-level cache so the CSV is only parsed once per process lifetime. + _weights_cache = None + + @classmethod + def get_weights(cls): + """Return a dict mapping pcode to population count. + + The CSV is read once and cached at the class level for subsequent calls. + """ + if cls._weights_cache is not None: + return cls._weights_cache + + csv_path = file_path("spp_demo_phl_luzon/data/population_weights.csv") + weights = {} + with open(csv_path, encoding="utf-8") as f: + reader = csv.DictReader(f) + for row in reader: + pcode = row["pcode"].strip() + try: + population = int(row["population"]) + except (ValueError, KeyError): + _logger.warning("Skipping invalid population row for pcode: %s", pcode) + continue + weights[pcode] = population + + cls._weights_cache = weights + return weights + + def get_weights_by_area_id(self): + """Return a dict mapping spp.area record id to population count. + + Looks up each pcode from the CSV against spp.area records that have a + matching code field, then substitutes the area id as the key. + """ + pcode_weights = self.get_weights() + if not pcode_weights: + return {} + + areas = self.env["spp.area"].search([("code", "in", list(pcode_weights.keys()))]) + area_by_pcode = {area.code: area.id for area in areas} + + weights_by_area_id = {} + for pcode, population in pcode_weights.items(): + area_id = area_by_pcode.get(pcode) + if area_id is not None: + weights_by_area_id[area_id] = population + + return weights_by_area_id diff --git a/spp_demo_phl_luzon/security/ir.model.access.csv b/spp_demo_phl_luzon/security/ir.model.access.csv new file mode 100644 index 00000000..63733442 --- /dev/null +++ b/spp_demo_phl_luzon/security/ir.model.access.csv @@ -0,0 +1,4 @@ +id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink + +access_spp_demo_population_weights_user,Demo Population Weights User Access,spp_demo_phl_luzon.model_spp_demo_population_weights,base.group_user,1,0,0,0 +access_spp_demo_luzon_area_loader_user,Demo Luzon Area Loader User Access,spp_demo_phl_luzon.model_spp_demo_luzon_area_loader,base.group_user,1,1,1,0 diff --git a/spp_demo_phl_luzon/static/description/DESCRIPTION.md b/spp_demo_phl_luzon/static/description/DESCRIPTION.md new file mode 100644 index 00000000..0ac5a6ef --- /dev/null +++ b/spp_demo_phl_luzon/static/description/DESCRIPTION.md @@ -0,0 +1,20 @@ +# OpenSPP Demo: Philippines Luzon Geodata + +Provides Philippine Luzon administrative boundary data and population weights +for the OpenSPP demo data generator. + +## Contents + +- **Area records**: Regions, provinces, and municipalities of Luzon loaded as + `spp.area` records on install. +- **GeoJSON shapes**: Polygon geometries for all Luzon administrative units, + located at `data/shapes/phl_luzon.geojson`. +- **Population weights**: Municipality-level population figures used to + generate geographically realistic distributions of demo registrants. + +## Data Attribution + +Administrative boundary data sourced from OCHA Humanitarian Data Exchange +(HDX) COD-AB dataset. Source: PSA and NAMRIA. License: CC BY-IGO. + +Dataset URL: https://data.humdata.org/dataset/cod-ab-phl diff --git a/spp_demo_phl_luzon/tests/__init__.py b/spp_demo_phl_luzon/tests/__init__.py new file mode 100644 index 00000000..2706f095 --- /dev/null +++ b/spp_demo_phl_luzon/tests/__init__.py @@ -0,0 +1,3 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from . import test_area_loader +from . import test_population_weights diff --git a/spp_demo_phl_luzon/tests/test_area_loader.py b/spp_demo_phl_luzon/tests/test_area_loader.py new file mode 100644 index 00000000..e074e22e --- /dev/null +++ b/spp_demo_phl_luzon/tests/test_area_loader.py @@ -0,0 +1,77 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from odoo.tests import TransactionCase, tagged + + +@tagged("post_install", "-at_install") +class TestLuzonAreaLoader(TransactionCase): + """Test the Luzon area loader model.""" + + def _load_base_areas(self): + """Helper: load base PHL area kinds and areas from spp_demo.""" + self.env["spp.demo.area.loader"].load_country_areas("phl", load_shapes=False) + + def test_loader_model_exists(self): + """The loader model is registered in the environment.""" + self.assertIn("spp.demo.luzon.area.loader", self.env) + + def test_load_luzon_areas_creates_areas(self): + """Loading Luzon areas creates spp.area records.""" + self._load_base_areas() + + before_count = self.env["spp.area"].search_count([]) + result = self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=False) + after_count = self.env["spp.area"].search_count([]) + areas_created = after_count - before_count + + self.assertGreater(areas_created, 0, "Expected Luzon areas to be created") + self.assertEqual(result["areas_created"], areas_created) + + def test_load_luzon_areas_creates_regions(self): + """Luzon data includes all 8 Luzon regions.""" + self._load_base_areas() + self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=False) + + luzon_region_codes = ["PH01", "PH02", "PH03", "PH04", "PH05", "PH13", "PH14", "PH17"] + for code in luzon_region_codes: + area = self.env["spp.area"].search([("code", "=", code)], limit=1) + self.assertTrue(area, f"Expected region with code {code} to exist") + + def test_load_luzon_areas_creates_municipalities(self): + """Luzon data includes municipalities.""" + self._load_base_areas() + self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=False) + + # Quezon City + area = self.env["spp.area"].search([("code", "=", "PH1307404")], limit=1) + self.assertTrue(area, "Expected Quezon City area to exist") + + def test_load_luzon_areas_handles_overlapping_base_areas(self): + """Loading Luzon areas does not fail when base PHL areas exist. + + The base spp_demo loads NCR (PH13) and CALABARZON (PH04). + The Luzon loader must handle these overlapping codes gracefully. + """ + self._load_base_areas() + + # Verify base areas exist + ph04 = self.env["spp.area"].search([("code", "=", "PH04")], limit=1) + self.assertTrue(ph04, "Expected CALABARZON (PH04) from base data") + + # Loading Luzon should not raise + result = self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=False) + self.assertGreater(result["areas_created"], 0) + + # PH04 should still exist (not duplicated) + ph04_count = self.env["spp.area"].search_count([("code", "=", "PH04")]) + self.assertEqual(ph04_count, 1, "PH04 should not be duplicated") + + def test_load_luzon_areas_idempotent(self): + """Loading twice does not create duplicate areas.""" + self._load_base_areas() + self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=False) + count_after_first = self.env["spp.area"].search_count([]) + + self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=False) + count_after_second = self.env["spp.area"].search_count([]) + + self.assertEqual(count_after_first, count_after_second, "Second load should not create duplicates") diff --git a/spp_demo_phl_luzon/tests/test_population_weights.py b/spp_demo_phl_luzon/tests/test_population_weights.py new file mode 100644 index 00000000..c7c6e2ce --- /dev/null +++ b/spp_demo_phl_luzon/tests/test_population_weights.py @@ -0,0 +1,99 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from unittest.mock import mock_open, patch + +from odoo.tests import TransactionCase, tagged + +from odoo.addons.spp_demo_phl_luzon.models.population_weights import DemoPopulationWeights + + +def _reset_cache(): + """Reset the class-level weights cache.""" + DemoPopulationWeights._weights_cache = None + + +@tagged("post_install", "-at_install") +class TestPopulationWeights(TransactionCase): + """Test the population weights model.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + _reset_cache() + + def tearDown(self): + super().tearDown() + _reset_cache() + + def test_get_weights_returns_dict(self): + """get_weights returns a dict mapping pcode to population.""" + weights = DemoPopulationWeights.get_weights() + self.assertIsInstance(weights, dict) + self.assertGreater(len(weights), 0, "Expected at least one weight entry") + + def test_get_weights_parses_csv_correctly(self): + """Known entries from the CSV are present with correct values.""" + weights = DemoPopulationWeights.get_weights() + # Adams municipality, Ilocos Norte + self.assertEqual(weights.get("PH0102801"), 1835) + # Bacarra municipality + self.assertEqual(weights.get("PH0102802"), 32994) + + def test_get_weights_count(self): + """CSV has 771 municipalities (772 lines minus header).""" + weights = DemoPopulationWeights.get_weights() + self.assertEqual(len(weights), 771) + + def test_get_weights_caching(self): + """Second call returns cached result without re-reading CSV.""" + weights1 = DemoPopulationWeights.get_weights() + weights2 = DemoPopulationWeights.get_weights() + self.assertIs(weights1, weights2, "Expected same dict object from cache") + + def test_get_weights_skips_invalid_rows(self): + """Rows with non-integer population are skipped.""" + csv_content = ( + "pcode,name,province_pcode,region_pcode,population\nPH001,Test,PH00,PH0,abc\nPH002,Valid,PH00,PH0,100\n" + ) + _reset_cache() + + with patch("odoo.tools.misc.file_path", return_value="/fake/path"): + with patch("builtins.open", mock_open(read_data=csv_content)): + weights = DemoPopulationWeights.get_weights() + + self.assertNotIn("PH001", weights) + self.assertEqual(weights.get("PH002"), 100) + + def test_get_weights_empty_csv(self): + """Empty CSV (header only) returns empty dict.""" + csv_content = "pcode,name,province_pcode,region_pcode,population\n" + _reset_cache() + + with patch("odoo.tools.misc.file_path", return_value="/fake/path"): + with patch("builtins.open", mock_open(read_data=csv_content)): + weights = DemoPopulationWeights.get_weights() + + self.assertEqual(weights, {}) + + def test_get_weights_by_area_id_returns_dict(self): + """get_weights_by_area_id returns a dict mapping area IDs to population.""" + result = self.env["spp.demo.population.weights"].get_weights_by_area_id() + self.assertIsInstance(result, dict) + + def test_get_weights_by_area_id_maps_to_area_records(self): + """When matching spp.area records exist, their IDs are used as keys.""" + area = self.env["spp.area"].create( + { + "draft_name": "Test Municipality", + "code": "PH0102801", + } + ) + + result = self.env["spp.demo.population.weights"].get_weights_by_area_id() + self.assertIn(area.id, result) + self.assertEqual(result[area.id], 1835) + + def test_get_weights_by_area_id_skips_unmatched_pcodes(self): + """Pcodes without matching spp.area records are not in the result.""" + result = self.env["spp.demo.population.weights"].get_weights_by_area_id() + for key in result: + self.assertIsInstance(key, int) diff --git a/spp_gis/__manifest__.py b/spp_gis/__manifest__.py index f22d35a8..70d38288 100644 --- a/spp_gis/__manifest__.py +++ b/spp_gis/__manifest__.py @@ -11,7 +11,7 @@ "license": "LGPL-3", "development_status": "Production/Stable", "maintainers": ["jeremi", "gonzalesedwin1123", "reichie020212"], - "depends": ["base", "web", "contacts", "spp_security", "spp_area", "spp_vocabulary", "spp_registry"], + "depends": ["base", "web", "contacts", "spp_security", "spp_area", "spp_registry"], "external_dependencies": {"python": ["shapely", "pyproj", "geojson"]}, "data": [ "data/res_config_data.xml", diff --git a/spp_gis/controllers/main.py b/spp_gis/controllers/main.py index acc51b69..dd092461 100644 --- a/spp_gis/controllers/main.py +++ b/spp_gis/controllers/main.py @@ -7,6 +7,9 @@ class MainController(http.Controller): def get_maptiler_api_key(self): # nosemgrep: odoo-sudo-without-context map_tiler_api_key = request.env["ir.config_parameter"].sudo().get_param("spp_gis.map_tiler_api_key") + # Treat the default placeholder as "not configured" + if map_tiler_api_key == "YOUR_MAPTILER_API_KEY_HERE": + map_tiler_api_key = False # nosemgrep: odoo-sudo-without-context web_base_url = request.env["ir.config_parameter"].sudo().get_param("web.base.url") return {"mapTilerKey": map_tiler_api_key, "webBaseUrl": web_base_url} diff --git a/spp_gis/models/geofence.py b/spp_gis/models/geofence.py index a54f0f2c..683ed8ff 100644 --- a/spp_gis/models/geofence.py +++ b/spp_gis/models/geofence.py @@ -15,6 +15,18 @@ _logger = logging.getLogger(__name__) +class GisGeofenceTag(models.Model): + """Tags for classifying geofences.""" + + _name = "spp.gis.geofence.tag" + _description = "Geofence Tag" + _order = "name" + + name = fields.Char(required=True, translate=True) + color = fields.Integer(string="Color Index") + active = fields.Boolean(default=True) + + class GisGeofence(models.Model): """Saved Geographic Areas of Interest. @@ -63,7 +75,7 @@ class GisGeofence(models.Model): # Tags for flexible classification tag_ids = fields.Many2many( - "spp.vocabulary", + "spp.gis.geofence.tag", "spp_gis_geofence_tag_rel", "geofence_id", "tag_id", @@ -167,6 +179,7 @@ def to_geojson(self): if not self.geometry: return { "type": "Feature", + "id": self.uuid, "geometry": None, "properties": self._get_geojson_properties(), } @@ -180,6 +193,7 @@ def to_geojson(self): return { "type": "Feature", + "id": self.uuid, "geometry": geometry_dict, "properties": self._get_geojson_properties(), } diff --git a/spp_gis/operators.py b/spp_gis/operators.py index ee996bbf..03a1c7b7 100644 --- a/spp_gis/operators.py +++ b/spp_gis/operators.py @@ -93,6 +93,8 @@ class Operator: "Point": "point", "LineString": "line", "Polygon": "polygon", + "MultiPolygon": "multipolygon", + "GeometryCollection": "geometrycollection", } def __init__(self, field, table_alias=None): @@ -256,6 +258,18 @@ def create_polygon(self, coordinates, srid): polygon = self.st_makepolygon(points) return self.st_setsrid(polygon, srid) + def create_from_geojson(self, geojson_dict, srid): + """Create geometry from full GeoJSON using ST_GeomFromGeoJSON. + + Used for complex geometry types (MultiPolygon, GeometryCollection) + that cannot be easily constructed from coordinates. + + Returns a SQL object with the GeoJSON string as a bound parameter + to avoid SQL injection via string interpolation. + """ + geojson_str = json.dumps(geojson_dict) + return SQL("ST_SetSRID(ST_GeomFromGeoJSON(%s), %s)", geojson_str, srid) + def validate_coordinates_for_point(self, coordinates): """ The function `validate_coordinates_for_point` checks if a set of coordinates represents a valid @@ -454,7 +468,10 @@ def validate_geojson(self, geojson): to validate the structure of the GeoJSON using the `shape` function """ if geojson.get("type") not in self.ALLOWED_LAYER_TYPE: - raise ValueError("Invalid geojson type. Allowed types are Point, LineString, and Polygon.") + raise ValueError( + "Invalid geojson type. Allowed types are Point, LineString, " + "Polygon, MultiPolygon, and GeometryCollection." + ) try: shape(geojson) except Exception as e: @@ -487,6 +504,19 @@ def domain_query(self, operator, value): operation = self.OPERATION_TO_RELATION[operator] layer_type = self.ALLOWED_LAYER_TYPE[geojson_val["type"]] - coordinates = geojson_val["coordinates"] + if layer_type in ("multipolygon", "geometrycollection"): + # Complex types use ST_GeomFromGeoJSON directly + geom = self.create_from_geojson(geojson_val, self.field.srid) + postgis_fn = self.POSTGIS_SPATIAL_RELATION[operation] + right = SQL(self.qualified_field_name) + if distance: + left = geom + if self.field.srid == 4326: + left = SQL("ST_Transform(%s, %s)", geom, 3857) + right = SQL("ST_Transform(%s, %s)", right, 3857) + return SQL("%s(ST_Buffer(%s, %s), %s)", SQL(postgis_fn), left, distance, right) + return SQL("%s(%s, %s)", SQL(postgis_fn), geom, right) + + coordinates = geojson_val["coordinates"] return SQL(self.get_postgis_query(operation, coordinates, distance=distance, layer_type=layer_type)) diff --git a/spp_gis/security/ir.model.access.csv b/spp_gis/security/ir.model.access.csv index 16070167..a17c06fd 100644 --- a/spp_gis/security/ir.model.access.csv +++ b/spp_gis/security/ir.model.access.csv @@ -6,6 +6,9 @@ access_spp_raster_layer_admin,Raster Layer Admin,spp_gis.model_spp_gis_raster_la access_spp_raster_layer_type_admin,Raster Layer Type Admin,spp_gis.model_spp_gis_raster_layer_type,spp_security.group_spp_admin,1,1,1,1 access_spp_data_layer_read,Data Layer Read,spp_gis.model_spp_gis_data_layer,spp_registry.group_registry_read,1,0,0,0 access_spp_raster_layer_read,Raster Layer Read,spp_gis.model_spp_gis_raster_layer,spp_registry.group_registry_read,1,0,0,0 +access_spp_gis_geofence_tag_admin,Geofence Tag Admin,spp_gis.model_spp_gis_geofence_tag,spp_security.group_spp_admin,1,1,1,1 +access_spp_gis_geofence_tag_manager,Geofence Tag Manager,spp_gis.model_spp_gis_geofence_tag,spp_registry.group_registry_manager,1,1,1,0 +access_spp_gis_geofence_tag_read,Geofence Tag Read,spp_gis.model_spp_gis_geofence_tag,spp_registry.group_registry_read,1,0,0,0 access_spp_gis_geofence_admin,Geofence Admin,spp_gis.model_spp_gis_geofence,spp_security.group_spp_admin,1,1,1,1 access_spp_gis_geofence_manager,Geofence Manager,spp_gis.model_spp_gis_geofence,spp_registry.group_registry_manager,1,1,1,1 access_spp_gis_geofence_officer,Geofence Officer,spp_gis.model_spp_gis_geofence,spp_registry.group_registry_officer,1,1,1,0 diff --git a/spp_gis/static/src/js/views/gis/gis_renderer/gis_renderer.esm.js b/spp_gis/static/src/js/views/gis/gis_renderer/gis_renderer.esm.js index 34fbb8f5..ddb37c85 100644 --- a/spp_gis/static/src/js/views/gis/gis_renderer/gis_renderer.esm.js +++ b/spp_gis/static/src/js/views/gis/gis_renderer/gis_renderer.esm.js @@ -91,7 +91,9 @@ export class GisRenderer extends Component { }); onMounted(() => { - maptilersdk.config.apiKey = this.mapTilerKey; + if (this.mapTilerKey) { + maptilersdk.config.apiKey = this.mapTilerKey; + } this.setupSourceAndLayer(); this.renderMap(); @@ -106,14 +108,11 @@ export class GisRenderer extends Component { async getMapTilerKey() { try { const response = await this.rpc("/get_maptiler_api_key"); - this.mapTilerKey = response.mapTilerKey; if (response.mapTilerKey) { this.mapTilerKey = response.mapTilerKey; - } else { - console.log("Error: Api Key not found."); } } catch (error) { - console.error("Error fetching environment variable:", error); + console.warn("Could not fetch MapTiler API key:", error); } } @@ -416,7 +415,7 @@ export class GisRenderer extends Component { let defaultMapStyle = this.getMapStyle(); - if (this.defaultRaster) { + if (this.mapTilerKey && this.defaultRaster) { if (this.defaultRaster.raster_style.includes("-")) { const rasterStyleArray = this.defaultRaster.raster_style .toUpperCase() @@ -459,11 +458,38 @@ export class GisRenderer extends Component { this.addMouseInteraction(); - const gc = new maptilersdkMaptilerGeocoder.GeocodingControl({}); - this.map.addControl(gc, "top-left"); + if (this.mapTilerKey) { + const gc = new maptilersdkMaptilerGeocoder.GeocodingControl({}); + this.map.addControl(gc, "top-left"); + } } getMapStyle(layer) { + if (!this.mapTilerKey) { + // Fallback: OSM raster tiles (no API key required) + return { + version: 8, + sources: { + osm: { + type: "raster", + tiles: ["https://tile.openstreetmap.org/{z}/{x}/{y}.png"], + tileSize: 256, + attribution: + '© OpenStreetMap contributors', + }, + }, + layers: [ + { + id: "osm-tiles", + type: "raster", + source: "osm", + minzoom: 0, + maxzoom: 19, + }, + ], + }; + } + let mapStyle = maptilersdk.MapStyle.STREETS; if (layer) { @@ -1124,7 +1150,8 @@ export class GisRenderer extends Component { const labelDiv = document.createElement("div"); labelDiv.className = "choropleth-legend-step-label"; - labelDiv.textContent = item.label; + const range = this._formatLegendRange(item.min_value, item.max_value); + labelDiv.textContent = range ? `${item.label} (${range})` : item.label; stepDiv.appendChild(labelDiv); stepsDiv.appendChild(stepDiv); @@ -1134,6 +1161,31 @@ export class GisRenderer extends Component { container.appendChild(legendDiv); } + /** + * Format a threshold range as a human-readable string. + * @param {Number|null} minValue - Minimum value (inclusive) + * @param {Number|null} maxValue - Maximum value (exclusive) + * @returns {String} Formatted range, or empty string if no values + */ + _formatLegendRange(minValue, maxValue) { + const hasMin = + minValue !== null && minValue !== undefined && minValue !== false; + const hasMax = + maxValue !== null && maxValue !== undefined && maxValue !== false; + if (!hasMin && !hasMax) { + return ""; + } + const fmtMin = hasMin ? this._formatLegendValue(minValue) : ""; + const fmtMax = hasMax ? this._formatLegendValue(maxValue) : ""; + if (hasMin && hasMax) { + return `${fmtMin} – ${fmtMax}`; + } + if (hasMin) { + return `≥ ${fmtMin}`; + } + return `< ${fmtMax}`; + } + /** * Format a numeric value for display in the legend. * @param {Number} value - The value to format diff --git a/spp_gis/static/src/js/widgets/gis_edit_map/field_gis_edit_map.esm.js b/spp_gis/static/src/js/widgets/gis_edit_map/field_gis_edit_map.esm.js index 74e8d3f1..af107e1f 100644 --- a/spp_gis/static/src/js/widgets/gis_edit_map/field_gis_edit_map.esm.js +++ b/spp_gis/static/src/js/widgets/gis_edit_map/field_gis_edit_map.esm.js @@ -32,7 +32,9 @@ export class FieldGisEditMap extends Component { }); onMounted(async () => { - maptilersdk.config.apiKey = this.mapTilerKey; + if (this.mapTilerKey) { + maptilersdk.config.apiKey = this.mapTilerKey; + } const editInfo = await this.orm.call( this.props.record.resModel, "get_edit_info_for_gis_column", @@ -49,14 +51,12 @@ export class FieldGisEditMap extends Component { }); this.renderMap(); - this.onLoadMap(); this.addDrawInteraction(); }); onPatched(() => { this.defaultZoom = this.map.getZoom(); this.renderMap(); - this.onLoadMap(); this.addDrawInteraction(); }); } @@ -67,23 +67,38 @@ export class FieldGisEditMap extends Component { if (response.mapTilerKey) { this.mapTilerKey = response.mapTilerKey; this.webBaseUrl = response.webBaseUrl; - } else { - console.log("Error: Api Key not found."); } } catch (error) { - console.error("Error fetching environment variable:", error); + console.warn("Could not fetch MapTiler API key:", error); } } - onLoadMap() { - if (this.props.record.data[this.props.name]) { - this.map.on("load", async () => { - this.addSourceAndLayer( - this.sourceId, - this.props.record.data[this.props.name] - ); - }); + _getMapStyle() { + if (this.mapTilerKey) { + return maptilersdk.MapStyle.STREETS; } + // Fallback: OSM raster tiles (no API key required) + return { + version: 8, + sources: { + osm: { + type: "raster", + tiles: ["https://tile.openstreetmap.org/{z}/{x}/{y}.png"], + tileSize: 256, + attribution: + '© OpenStreetMap contributors', + }, + }, + layers: [ + { + id: "osm-tiles", + type: "raster", + source: "osm", + minzoom: 0, + maxzoom: 19, + }, + ], + }; } renderMap() { @@ -104,9 +119,14 @@ export class FieldGisEditMap extends Component { this.defaultZoom = 10; } + if (this.map) { + this.draw = null; + this.map.remove(); + } + this.map = new maptilersdk.Map({ container: this.id, - style: maptilersdk.MapStyle.STREETS, + style: this._getMapStyle(), center: this.defaultCenter, zoom: this.defaultZoom, }); @@ -138,96 +158,55 @@ export class FieldGisEditMap extends Component { return null; } - addSourceAndLayer(sourceId, jsonString) { - if (!this.map.getSource(sourceId)) { - this.addSource(sourceId, jsonString); - this.addLayer(sourceId); - } + onUIChange() { + this.addDrawInteraction(); } - addSource(sourceId, jsonString) { - const obj = JSON.parse(jsonString); - const centroid = turf.centroid(obj); - - this.map.addSource(sourceId, { - type: "geojson", - data: obj, - }); - this.map.setCenter(centroid.geometry.coordinates); + addDrawInteraction() { + const self = this; + const hasData = Boolean(this.props.record.data[this.props.name]); - this.source = this.map.getSource(sourceId); - } + // Remove previous event listeners to prevent stacking on onUIChange() calls + if (this._drawHandlers) { + this.map.off("draw.create", this._drawHandlers.update); + this.map.off("draw.update", this._drawHandlers.update); + this.map.off("draw.delete", this._drawHandlers.delete); + } - addLayer(sourceId) { - // Polygon - this.map.addLayer({ - id: `${sourceId}-polygon-layerid`, - type: "fill", - source: sourceId, - filter: ["all", ["==", "$type", "Polygon"], ["!=", "mode", "static"]], - layout: {}, - paint: { - "fill-color": "#98b", - "fill-opacity": 0.8, - }, - }); + this._drawHandlers = { + update(e) { + const eventFeature = e?.features?.[0]; + if (eventFeature?.geometry) { + self.props.record.update({ + [self.props.name]: JSON.stringify(eventFeature.geometry), + }); + return; + } - // Point - this.map.addLayer({ - id: `${sourceId}-point-layerid`, - type: "circle", - source: sourceId, - filter: ["all", ["==", "$type", "Point"], ["!=", "mode", "static"]], - layout: {}, - paint: { - "circle-color": "#FF680A", + const allFeatures = self.draw.getAll()?.features || []; + if (allFeatures.length > 0 && allFeatures[0].geometry) { + self.props.record.update({ + [self.props.name]: JSON.stringify(allFeatures[0].geometry), + }); + } }, - }); - - // Linestring - this.map.addLayer({ - id: `${sourceId}-linestring-layerid`, - type: "line", - source: sourceId, - filter: ["all", ["==", "$type", "LineString"], ["!=", "mode", "static"]], - layout: {}, - paint: { - "line-color": "#e11", - "line-width": 4, + delete(e) { + self.props.record.update({[self.props.name]: null}); }, - }); - } - - removeSourceAndLayer(source) { - this.map.removeLayer(source); - this.map.removeSource(source); - } - - onUIChange() { - this.removeSourceAndLayer(this.sourceId); - this.onLoadMap(); - this.addDrawInteraction(); - } - - addDrawInteraction() { - const self = this; + }; - function updateArea(e) { - console.log(e); - var data = self.draw.getAll(); - self.props.record.update({ - [self.props.name]: JSON.stringify(data.features[0].geometry), - }); + if (this.draw) { + this.map.removeControl(this.draw); } this.draw = new MapboxDraw({ displayControlsDefault: false, controls: { - [this.drawControl]: !this.props.record.data[this.props.name], - trash: Boolean(this.props.record.data[this.props.name]), + [this.drawControl]: !hasData, + trash: hasData, }, styles: this.addDrawInteractionStyle(), - defaultMode: "custom_mode", + defaultMode: hasData ? "simple_select" : "custom_mode", modes: Object.assign( { custom_mode: this.addDrawCustomModes(), @@ -244,19 +223,27 @@ export class FieldGisEditMap extends Component { elem.classList.add("maplibregl-ctrl", "maplibregl-ctrl-group"); }); - this.map.on("draw.create", updateArea); - this.map.on("draw.update", updateArea); - - const url = `/spp_gis/static/src/images/laos_farm.png`; + // Load existing geometry into MapboxDraw so it's interactive + // (clickable, editable, deletable) instead of a static layer + if (hasData) { + const loadExisting = () => { + const geom = JSON.parse(this.props.record.data[this.props.name]); + this.draw.add({ + type: "Feature", + geometry: geom, + properties: {}, + }); + }; + if (this.map.loaded()) { + loadExisting(); + } else { + this.map.on("load", loadExisting); + } + } - this.map.on("click", `${this.sourceId}-polygon-layerid`, (e) => { - new maptilersdk.Popup() - .setLngLat(e.lngLat) - .setHTML( - `Placeholder Image` - ) - .addTo(this.map); - }); + this.map.on("draw.create", this._drawHandlers.update); + this.map.on("draw.update", this._drawHandlers.update); + this.map.on("draw.delete", this._drawHandlers.delete); } addDrawInteractionStyle() { @@ -370,7 +357,6 @@ export class FieldGisEditMap extends Component { const customMode = {}; const self = this; customMode.onTrash = function (state) { - console.log(state); self.props.record.update({[self.props.name]: null}); }; diff --git a/spp_gis/tests/test_geo_fields.py b/spp_gis/tests/test_geo_fields.py index 124f7f77..e0072b67 100644 --- a/spp_gis/tests/test_geo_fields.py +++ b/spp_gis/tests/test_geo_fields.py @@ -246,3 +246,228 @@ def test_get_postgis_query_with_alias_and_distance(self): ) self.assertIn('"spp_area"."geo_polygon"', result) + + +class TestOperatorMultiPolygon(TransactionCase): + """Test that the Operator handles MultiPolygon and GeometryCollection types.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + cls.env = cls.env( + context=dict( + cls.env.context, + test_queue_job_no_delay=True, + ) + ) + + def _make_field(self, name="geo_polygon", srid=4326): + """Create a mock field for the Operator.""" + from odoo.addons.spp_gis.fields import GeoPolygonField + + field = GeoPolygonField() + field.name = name + field.srid = srid + return field + + def test_multipolygon_domain_query(self): + """domain_query accepts MultiPolygon GeoJSON and generates ST_GeomFromGeoJSON SQL.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = { + "type": "MultiPolygon", + "coordinates": [ + [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + [[[10, 10], [11, 10], [11, 11], [10, 11], [10, 10]]], + ], + } + + result = operator.domain_query("gis_intersects", geojson) + sql_string = str(result) + + self.assertIn("ST_Intersects", sql_string) + self.assertIn("ST_GeomFromGeoJSON", sql_string) + self.assertIn("MultiPolygon", sql_string) + + def test_multipolygon_domain_query_with_alias(self): + """domain_query for MultiPolygon uses table-qualified column names.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field, table_alias="spp_area") + + geojson = { + "type": "MultiPolygon", + "coordinates": [ + [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + [[[10, 10], [11, 10], [11, 11], [10, 11], [10, 10]]], + ], + } + + result = operator.domain_query("gis_within", geojson) + sql_string = str(result) + + self.assertIn("ST_Within", sql_string) + self.assertIn('"spp_area"."geo_polygon"', sql_string) + self.assertIn("ST_GeomFromGeoJSON", sql_string) + + def test_multipolygon_from_geojson_string(self): + """domain_query accepts MultiPolygon as a JSON string.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson_str = json.dumps( + { + "type": "MultiPolygon", + "coordinates": [ + [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + [[[10, 10], [11, 10], [11, 11], [10, 11], [10, 10]]], + ], + } + ) + + result = operator.domain_query("gis_contains", geojson_str) + sql_string = str(result) + + self.assertIn("ST_Contains", sql_string) + self.assertIn("ST_GeomFromGeoJSON", sql_string) + + def test_geometrycollection_domain_query(self): + """domain_query accepts GeometryCollection GeoJSON.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = { + "type": "GeometryCollection", + "geometries": [ + { + "type": "Polygon", + "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + }, + {"type": "Point", "coordinates": [5, 5]}, + ], + } + + result = operator.domain_query("gis_intersects", geojson) + sql_string = str(result) + + self.assertIn("ST_Intersects", sql_string) + self.assertIn("ST_GeomFromGeoJSON", sql_string) + self.assertIn("GeometryCollection", sql_string) + + def test_multipolygon_distance_uses_buffer(self): + """Distance operand on MultiPolygon uses ST_Buffer path.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = { + "type": "MultiPolygon", + "coordinates": [ + [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + ], + } + + result = operator.domain_query("gis_intersects", (geojson, 1000)) + sql_string = str(result) + + self.assertIn("ST_Intersects", sql_string) + self.assertIn("ST_Buffer", sql_string) + self.assertIn("ST_Transform", sql_string) + + def test_geometrycollection_distance_uses_buffer(self): + """Distance operand on GeometryCollection uses ST_Buffer path.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = { + "type": "GeometryCollection", + "geometries": [ + { + "type": "Polygon", + "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + } + ], + } + + result = operator.domain_query("gis_intersects", (geojson, 500)) + sql_string = str(result) + + self.assertIn("ST_Intersects", sql_string) + self.assertIn("ST_Buffer", sql_string) + self.assertIn("ST_Transform", sql_string) + + def test_multipolygon_from_shapely(self): + """domain_query accepts a shapely MultiPolygon object.""" + from shapely.geometry import MultiPolygon, Polygon + + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + poly1 = Polygon([(0, 0), (1, 0), (1, 1), (0, 1), (0, 0)]) + poly2 = Polygon([(10, 10), (11, 10), (11, 11), (10, 11), (10, 10)]) + multi = MultiPolygon([poly1, poly2]) + + result = operator.domain_query("gis_intersects", multi) + sql_string = str(result) + + self.assertIn("ST_Intersects", sql_string) + self.assertIn("ST_GeomFromGeoJSON", sql_string) + + def test_validate_geojson_accepts_multipolygon(self): + """validate_geojson accepts MultiPolygon type.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = { + "type": "MultiPolygon", + "coordinates": [ + [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + ], + } + # Should not raise + operator.validate_geojson(geojson) + + def test_validate_geojson_rejects_invalid_type(self): + """validate_geojson rejects unsupported geometry types.""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = {"type": "InvalidType", "coordinates": []} + with self.assertRaises(ValueError): + operator.validate_geojson(geojson) + + def test_polygon_still_uses_coordinate_construction(self): + """Regular Polygon queries still use the coordinate-based path (not ST_GeomFromGeoJSON).""" + from odoo.addons.spp_gis.operators import Operator + + field = self._make_field() + operator = Operator(field) + + geojson = { + "type": "Polygon", + "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], + } + + result = operator.domain_query("gis_intersects", geojson) + sql_string = str(result) + + self.assertIn("ST_Intersects", sql_string) + self.assertIn("ST_MakePolygon", sql_string) + self.assertNotIn("ST_GeomFromGeoJSON", sql_string) diff --git a/spp_gis/tests/test_geofence.py b/spp_gis/tests/test_geofence.py index 6d3412a1..15347849 100644 --- a/spp_gis/tests/test_geofence.py +++ b/spp_gis/tests/test_geofence.py @@ -61,18 +61,12 @@ def setUpClass(cls): ], } - # Create test vocabulary for tags - cls.tag1 = cls.env["spp.vocabulary"].search( - [("namespace_uri", "=", "urn:openspp:concept:geofence_tag_1")], - limit=1, + # Create test tag for geofences + cls.tag1 = cls.env["spp.gis.geofence.tag"].create( + { + "name": "Test Tag 1", + } ) - if not cls.tag1: - cls.tag1 = cls.env["spp.vocabulary"].create( - { - "name": "Test Tag 1", - "namespace_uri": "urn:openspp:concept:geofence_tag_1", - } - ) def test_create_geofence_basic(self): """Test creating a basic geofence.""" diff --git a/spp_gis_report/__init__.py b/spp_gis_report/__init__.py index ada0b87b..5884335c 100644 --- a/spp_gis_report/__init__.py +++ b/spp_gis_report/__init__.py @@ -1,3 +1,82 @@ +import logging + from . import controllers from . import models from . import wizards + +_logger = logging.getLogger(__name__) + +# Mapping: old boolean field name -> dimension technical name +_BOOL_TO_DIMENSION = { + "disaggregate_by_gender": "gender", + "disaggregate_by_age": "age_group", + "disaggregate_by_disability": "disability_status", +} + + +def _migrate_boolean_disaggregation(env): + """Post-init hook: migrate boolean disaggregation flags to dimension_ids. + + Looks up reports that had boolean flags set and links them to the + corresponding spp.demographic.dimension records. Logs a warning + (does not crash) if a dimension record is not found. + """ + cr = env.cr + + # Check if the old boolean columns still exist + cr.execute( + """ + SELECT column_name FROM information_schema.columns + WHERE table_name = 'spp_gis_report' + AND column_name IN ('disaggregate_by_gender', 'disaggregate_by_age', 'disaggregate_by_disability') + """ + ) + existing_columns = {row[0] for row in cr.fetchall()} + + if not existing_columns: + _logger.info("No legacy boolean disaggregation columns found, skipping migration") + return + + # Get the m2m relation table name + Dimension = env["spp.demographic.dimension"] + + for bool_field, dim_name in _BOOL_TO_DIMENSION.items(): + if bool_field not in existing_columns: + continue + + # Find reports with this boolean set + cr.execute( + f"SELECT id FROM spp_gis_report WHERE {bool_field} = true" # nosec B608 + ) + report_ids = [row[0] for row in cr.fetchall()] + if not report_ids: + continue + + dimension = Dimension.search([("name", "=", dim_name)], limit=1) + if not dimension: + _logger.warning( + "Dimension '%s' not found, cannot migrate %d reports with %s=True", + dim_name, + len(report_ids), + bool_field, + ) + continue + + # Insert m2m links (skip duplicates) + for report_id in report_ids: + cr.execute( + """ + INSERT INTO spp_gis_report_spp_demographic_dimension_rel + (spp_gis_report_id, spp_demographic_dimension_id) + VALUES (%s, %s) + ON CONFLICT DO NOTHING + """, + (report_id, dimension.id), + ) + + _logger.info( + "Migrated %d reports from %s=True to dimension '%s'", + len(report_ids), + bool_field, + dim_name, + ) diff --git a/spp_gis_report/__manifest__.py b/spp_gis_report/__manifest__.py index 3fcf7318..981dd2fd 100644 --- a/spp_gis_report/__manifest__.py +++ b/spp_gis_report/__manifest__.py @@ -10,6 +10,7 @@ "depends": [ "spp_area", "spp_gis", + "spp_metrics_services", "spp_registry", "spp_vocabulary", "spp_cel_domain", @@ -46,6 +47,7 @@ "spp_gis_report/static/src/css/gis_report.css", ], }, + "post_init_hook": "_migrate_boolean_disaggregation", "installable": True, "application": False, "auto_install": False, diff --git a/spp_gis_report/controllers/geojson.py b/spp_gis_report/controllers/geojson.py index 20dde19e..4a1cc0aa 100644 --- a/spp_gis_report/controllers/geojson.py +++ b/spp_gis_report/controllers/geojson.py @@ -100,23 +100,19 @@ def list_reports(self): for report in reports: admin_levels = report.data_ids.mapped("area_level") if report.data_ids else [] - report_list.append( - { - "code": report.code, - "name": report.name, - "category": report.category_id.name if report.category_id else None, - "last_refresh": (report.last_refresh.isoformat() if report.last_refresh else None), - "admin_levels_available": sorted(set(admin_levels)), - "has_disaggregation": any( - [ - report.disaggregate_by_gender, - report.disaggregate_by_age, - report.disaggregate_by_disability, - report.disaggregate_by_tag_ids, - ] - ), - } - ) + report_data = { + "code": report.code, + "name": report.name, + "category": report.category_id.name if report.category_id else None, + "last_refresh": (report.last_refresh.isoformat() if report.last_refresh else None), + "admin_levels_available": sorted(set(admin_levels)), + "has_disaggregation": bool(report.dimension_ids) or bool(report.disaggregate_by_tag_ids), + } + if report.dimension_ids: + report_data["disaggregation_dimensions"] = [ + {"name": d.name, "label": d.label} for d in report.dimension_ids + ] + report_list.append(report_data) return self._json_response({"reports": report_list}) diff --git a/spp_gis_report/models/area_ext.py b/spp_gis_report/models/area_ext.py index c6b720fd..43ae2204 100644 --- a/spp_gis_report/models/area_ext.py +++ b/spp_gis_report/models/area_ext.py @@ -153,7 +153,15 @@ def get_gis_layers(self, view_id=None, view_type="gis", **options): # Build legend info from thresholds for display purposes only. thresholds = report.threshold_ids.sorted("sequence") if thresholds: - layer_dict["report_legend"] = [{"color": t.color, "label": t.label} for t in thresholds] + layer_dict["report_legend"] = [ + { + "color": t.color, + "label": t.label, + "min_value": t.min_value, + "max_value": t.max_value, + } + for t in thresholds + ] layer_dict["report_legend_title"] = report.name # Build pre-computed features for report layer diff --git a/spp_gis_report/models/gis_report.py b/spp_gis_report/models/gis_report.py index c2d07087..4e04da47 100644 --- a/spp_gis_report/models/gis_report.py +++ b/spp_gis_report/models/gis_report.py @@ -3,7 +3,9 @@ from ast import literal_eval from odoo import _, api, fields, models +from odoo.exceptions import ValidationError from odoo.osv import expression +from odoo.tools.sql import SQL _logger = logging.getLogger(__name__) @@ -294,18 +296,23 @@ def _get_source_model_domain(self): ) # ===== Disaggregation Configuration ===== - disaggregate_by_gender = fields.Boolean( - "Disaggregate by Gender", - help="Show gender breakdown in popup", + dimension_ids = fields.Many2many( + "spp.demographic.dimension", + string="Disaggregation Dimensions", + help="Demographic dimensions to compute disaggregation for (e.g., gender, age group)", ) - disaggregate_by_age = fields.Boolean( - "Disaggregate by Age Group", - help="Show age group breakdown in popup", - ) - disaggregate_by_disability = fields.Boolean( - "Disaggregate by Disability", - help="Show disability status breakdown", + member_expansion = fields.Selection( + [("none", "No Expansion"), ("expand", "Expand to Members")], + "Member Expansion", + default="none", + help=( + "For group-filtered reports, expand to individual members " + "for demographic breakdown (e.g., gender, age). " + "Use 'Expand to Members' when dimensions should be evaluated " + "on individuals inside groups, not on the groups themselves." + ), ) + disaggregate_by_tag_ids = fields.Many2many( "spp.vocabulary", string="Disaggregate by Tags", @@ -435,46 +442,50 @@ def _compute_is_stale(self): else: report.is_stale = False - def _compute_base_aggregation(self): - """Compute aggregated values at the base area level. + @api.constrains("member_expansion", "source_model") + def _check_member_expansion(self): + """Validate member_expansion is only used with res.partner source model.""" + for report in self: + if report.member_expansion == "expand" and report.source_model != "res.partner": + raise ValidationError( + _("Member expansion is only supported for reports with 'Contact' (res.partner) source model.") + ) - Uses Odoo's read_group for efficient aggregation. For very large - datasets (1M+ records), consider using PostGIS-optimized SQL queries. + def _prepare_area_context(self): + """Build shared area context for aggregation and disaggregation. + + Computes the filter domain, area field, base areas, and the + child_to_base mapping that maps descendant areas to their + base-level ancestor. Both _compute_base_aggregation and + _compute_disaggregation use this context. Returns: - dict: {area_id: {'raw': float, 'count': int, 'weight': float}} + dict: Area context with keys: + - domain: list, the filter domain including area filter + - child_to_base: dict, mapping area_id -> base_area_id + - base_areas: recordset, areas at base_area_level + - area_field: str, first part of area_field_path + Returns None if no source model or no base areas exist. """ self.ensure_one() - _logger.info("Computing base aggregation for report ID %s", self.id) - # Get the source model if not self.source_model: _logger.warning("No source model configured for report ID %s", self.id) - return {} - - Model = self.env[self.source_model] + return None - # Build the filter domain domain = self._build_filter_domain() - - # Get area field (first part of path) area_field = self.area_field_path.split(".")[0] - # Get areas at the base level base_areas = self.env["spp.area"].search([("area_level", "=", self.base_area_level)]) - if not base_areas: _logger.info("No areas at level %s found", self.base_area_level) - return {} + return None # Build mapping from descendant areas to their base-level ancestor. # Registrants may be assigned to areas more granular than base_area_level # (e.g., barangays when base level is municipality). We include all # descendant areas in the query and aggregate results back to the # base-level parent. - # - # Fetch all descendants of all base areas in a single query, then build - # the child_to_base mapping in memory to avoid an N+1 query pattern. child_to_base = {base_area.id: base_area.id for base_area in base_areas} all_descendants = self.env["spp.area"].search( [ @@ -482,7 +493,6 @@ def _compute_base_aggregation(self): ("id", "not in", base_areas.ids), ] ) - # For each descendant, walk up its parent chain to find the base-level ancestor for desc in all_descendants: ancestor = desc.parent_id while ancestor and ancestor.id not in child_to_base: @@ -490,9 +500,44 @@ def _compute_base_aggregation(self): if ancestor: child_to_base[desc.id] = child_to_base[ancestor.id] - # Add area filter to domain (base areas + all descendants) + # Add area filter to domain domain.append((area_field, "in", list(child_to_base.keys()))) + return { + "domain": domain, + "child_to_base": child_to_base, + "base_areas": base_areas, + "area_field": area_field, + } + + def _compute_base_aggregation(self, area_context=None): + """Compute aggregated values at the base area level. + + Uses Odoo's read_group for efficient aggregation. For very large + datasets (1M+ records), consider using PostGIS-optimized SQL queries. + + Args: + area_context: Optional pre-computed area context from _prepare_area_context(). + If not provided, it will be computed internally. + + Returns: + dict: {area_id: {'raw': float, 'count': int, 'weight': float}} + """ + self.ensure_one() + _logger.info("Computing base aggregation for report ID %s", self.id) + + if area_context is None: + area_context = self._prepare_area_context() + + if area_context is None: + return {} + + Model = self.env[self.source_model] + domain = list(area_context["domain"]) + area_field = area_context["area_field"] + base_areas = area_context["base_areas"] + child_to_base = area_context["child_to_base"] + # Initialize results for all base areas with 0 # This ensures areas with no matching records get 0 instead of being missing results = {area.id: {"raw": 0, "count": 0, "weight": 0} for area in base_areas} @@ -572,6 +617,336 @@ def _compute_base_aggregation(self): return results + def _compute_disaggregation(self, area_context): + """Compute disaggregation counts per area for configured dimensions. + + Uses SQL for performance when possible, with Python fallback for + dimensions that cannot compile to SQL. When member_expansion is + "expand", drills into group members to evaluate individual-level + demographics (gender, age) with area inheritance from the group. + + Args: + area_context: Area context from _prepare_area_context() + + Returns: + dict: {area_id: {dim_name: {raw_value: count}}} + Empty dict if no dimensions or non-partner source model. + """ + self.ensure_one() + + if not self.dimension_ids: + return {} + + if self.source_model != "res.partner": + return {} + + if area_context is None: + return {} + + child_to_base = area_context["child_to_base"] + area_field = area_context["area_field"] + + # Compile dimensions to SQL, separating compilable from fallback + sql_dims = [] # [(dimension, SQLColumnResult)] + fallback_dims = [] # [dimension] + alias_counter = 0 + partner_alias = "ind" if self.member_expansion == "expand" else "reg" + + for dimension in self.dimension_ids: + result = dimension.to_sql_column(partner_alias, alias_counter) + if result is not None: + sql_dims.append((dimension, result)) + alias_counter = result.alias_counter + else: + fallback_dims.append(dimension) + + results = {} + + if sql_dims: + results = self._disaggregation_sql(area_context, sql_dims, child_to_base, area_field, partner_alias) + + if fallback_dims: + fallback_results = self._disaggregation_python(area_context, fallback_dims, child_to_base, area_field) + # Merge fallback results into main results + for area_id, dim_data in fallback_results.items(): + results.setdefault(area_id, {}).update(dim_data) + + return results + + def _disaggregation_sql(self, area_context, sql_dims, child_to_base, area_field, partner_alias): + """Execute SQL-based disaggregation query. + + Builds a single SQL query that: + 1. Maps descendant areas to base-level areas via CTE + 2. Optionally expands group membership to individuals (DISTINCT) + 3. Computes all dimension values as SQL expressions + 4. Unpivots dimensions via CROSS JOIN LATERAL VALUES + 5. Groups by area + dimension + value + """ + domain = list(area_context["domain"]) + + # Get matching registrant IDs (respects record rules via search()) + Partner = self.env["res.partner"] + registrant_ids = Partner.search(domain, order="id").ids + if not registrant_ids: + return {} + + # Build area_mapping CTE from child_to_base dict + area_mapping_values = SQL(", ").join( + SQL("(%s, %s)", child_id, base_id) for child_id, base_id in child_to_base.items() + ) + area_mapping_cte = SQL( + "area_mapping(child_id, base_id) AS (VALUES %s)", + area_mapping_values, + ) + + # Collect all JOINs from dimension compilations + all_joins = [] + for _dim, col_result in sql_dims: + all_joins.extend(col_result.joins) + + # Build the dimension SELECT columns and VALUES entries + dim_select_parts = [] + dim_values_entries = [] + for dim, col_result in sql_dims: + col_alias = f"dim_{dim.name}" + dim_select_parts.append(SQL("%s AS %s", col_result.expression, SQL.identifier(col_alias))) + dim_values_entries.append(SQL("(%s, %s)", dim.name, SQL.identifier(col_alias))) + + dim_select_sql = SQL(", ").join(dim_select_parts) + dim_values_sql = SQL(", ").join(dim_values_entries) + + if self.member_expansion == "expand": + query = self._build_expand_query( + registrant_ids, area_mapping_cte, area_field, all_joins, dim_select_sql, dim_values_sql + ) + else: + query = self._build_direct_query( + registrant_ids, + area_mapping_cte, + area_field, + all_joins, + dim_select_sql, + dim_values_sql, + partner_alias, + ) + + self.env.cr.execute(query) + rows = self.env.cr.fetchall() + + # Parse results: (base_area_id, dim_name, dim_value, count) + results = {} + for base_area_id, dim_name, dim_value, cnt in rows: + area_disagg = results.setdefault(base_area_id, {}) + dim_counts = area_disagg.setdefault(dim_name, {}) + dim_counts[dim_value] = cnt + + return results + + def _build_expand_query( + self, registrant_ids, area_mapping_cte, area_field, all_joins, dim_select_sql, dim_values_sql + ): + """Build SQL query with member expansion (groups -> individuals).""" + area_field_col = SQL.identifier(area_field) + + # Build JOINs string + joins_sql = SQL(" ").join(all_joins) if all_joins else SQL("") + + return SQL( + """ + WITH %s, + expanded AS ( + SELECT DISTINCT ON (ind.id) + am.base_id AS resolved_area_id, + ind.id AS individual_id, + %s + FROM res_partner grp + JOIN spp_group_membership gm ON gm.%s = grp.id AND NOT gm.%s + JOIN res_partner ind ON ind.id = gm.%s + %s + JOIN area_mapping am ON am.child_id = COALESCE(ind.%s, grp.%s) + WHERE grp.id IN %s + ORDER BY ind.id, grp.id + ) + SELECT resolved_area_id, dim_name, dim_value, COUNT(*) AS cnt + FROM expanded + CROSS JOIN LATERAL (VALUES %s) AS dims(dim_name, dim_value) + GROUP BY resolved_area_id, dim_name, dim_value + """, + area_mapping_cte, + dim_select_sql, + SQL.identifier("group"), + SQL.identifier("is_ended"), + SQL.identifier("individual"), + joins_sql, + area_field_col, + area_field_col, + tuple(registrant_ids), + dim_values_sql, + ) + + def _build_direct_query( + self, registrant_ids, area_mapping_cte, area_field, all_joins, dim_select_sql, dim_values_sql, partner_alias + ): + """Build SQL query for direct registrant disaggregation (no expansion).""" + area_field_col = SQL.identifier(area_field) + alias_id = SQL.identifier(partner_alias) + + # Build JOINs string + joins_sql = SQL(" ").join(all_joins) if all_joins else SQL("") + + return SQL( + """ + WITH %s, + registrants AS ( + SELECT + am.base_id AS resolved_area_id, + %s.id AS registrant_id, + %s + FROM res_partner %s + %s + JOIN area_mapping am ON am.child_id = %s.%s + WHERE %s.id IN %s + ) + SELECT resolved_area_id, dim_name, dim_value, COUNT(*) AS cnt + FROM registrants + CROSS JOIN LATERAL (VALUES %s) AS dims(dim_name, dim_value) + GROUP BY resolved_area_id, dim_name, dim_value + """, + area_mapping_cte, + alias_id, + dim_select_sql, + alias_id, + joins_sql, + alias_id, + area_field_col, + alias_id, + tuple(registrant_ids), + dim_values_sql, + ) + + def _disaggregation_python(self, area_context, fallback_dims, child_to_base, area_field): + """Python fallback for dimensions that couldn't compile to SQL. + + Uses the existing ORM-based evaluation path via the dimension cache. + When member_expansion is "expand", fetches individual members first. + """ + domain = list(area_context["domain"]) + base_areas = area_context["base_areas"] + + Partner = self.env["res.partner"] + registrants = Partner.search_read(domain, [area_field], order="id") + if not registrants: + return {} + + if self.member_expansion == "expand": + return self._disaggregation_python_expanded(registrants, fallback_dims, child_to_base, area_field) + + # Direct mode: evaluate on the matching registrants + area_registrant_ids = {} + all_registrant_ids = [] + for reg in registrants: + area_val = reg[area_field] + if not area_val: + continue + area_id = area_val[0] if isinstance(area_val, (list, tuple)) else area_val + base_id = child_to_base.get(area_id) + if base_id is None: + continue + area_registrant_ids.setdefault(base_id, []).append(reg["id"]) + all_registrant_ids.append(reg["id"]) + + if not all_registrant_ids: + return {} + + cache_service = self.env["spp.metrics.dimension.cache"] + dim_evaluations = {} + for dimension in fallback_dims: + dim_evaluations[dimension.name] = cache_service.evaluate_dimension_batch(dimension, all_registrant_ids) + + results = {} + for area_id in base_areas.ids: + reg_ids = area_registrant_ids.get(area_id, []) + if not reg_ids: + continue + area_disagg = {} + for dimension in fallback_dims: + evals = dim_evaluations[dimension.name] + value_counts = {} + for rid in reg_ids: + value = evals.get(rid, dimension.default_value or "unknown") + value_counts[value] = value_counts.get(value, 0) + 1 + area_disagg[dimension.name] = value_counts + results[area_id] = area_disagg + + return results + + def _disaggregation_python_expanded(self, group_registrants, fallback_dims, child_to_base, area_field): + """Python fallback with member expansion for group-filtered reports.""" + group_ids = [r["id"] for r in group_registrants] + if not group_ids: + return {} + + # Build group area mapping + group_area = {} + for reg in group_registrants: + area_val = reg[area_field] + if area_val: + area_id = area_val[0] if isinstance(area_val, (list, tuple)) else area_val + group_area[reg["id"]] = area_id + + # Find individual members of these groups + Membership = self.env["spp.group.membership"] + memberships = Membership.search_read( + [("group", "in", group_ids), ("is_ended", "=", False)], + ["individual", "group"], + ) + + if not memberships: + return {} + + # Build individual -> base_area mapping, inheriting from group + seen_individuals = set() + individual_area = {} + all_individual_ids = [] + + for mem in memberships: + ind_id = mem["individual"][0] if isinstance(mem["individual"], (list, tuple)) else mem["individual"] + if ind_id in seen_individuals: + continue + seen_individuals.add(ind_id) + all_individual_ids.append(ind_id) + + grp_id = mem["group"][0] if isinstance(mem["group"], (list, tuple)) else mem["group"] + # Individual's area or inherited from group + grp_area_id = group_area.get(grp_id) + if grp_area_id: + base_id = child_to_base.get(grp_area_id) + if base_id: + individual_area[ind_id] = base_id + + if not all_individual_ids: + return {} + + cache_service = self.env["spp.metrics.dimension.cache"] + dim_evaluations = {} + for dimension in fallback_dims: + dim_evaluations[dimension.name] = cache_service.evaluate_dimension_batch(dimension, all_individual_ids) + + results = {} + for ind_id in all_individual_ids: + base_id = individual_area.get(ind_id) + if base_id is None: + continue + area_disagg = results.setdefault(base_id, {}) + for dimension in fallback_dims: + evals = dim_evaluations[dimension.name] + value = evals.get(ind_id, dimension.default_value or "unknown") + dim_counts = area_disagg.setdefault(dimension.name, {}) + dim_counts[value] = dim_counts.get(value, 0) + 1 + + return results + def _build_filter_domain(self): """Build the complete filter domain including context filters. @@ -1190,8 +1565,11 @@ def _refresh_data(self): self.ensure_one() _logger.info("Starting full refresh for report ID %s", self.id) + # Step 0: Build shared area context + area_context = self._prepare_area_context() + # Step 1: Compute base aggregation - base_results = self._compute_base_aggregation() + base_results = self._compute_base_aggregation(area_context) if not base_results: _logger.info("No data found for report ID %s", self.id) @@ -1265,6 +1643,9 @@ def _refresh_data(self): } ) + # Step 7b: Compute disaggregation (if dimensions configured) + disaggregation_by_area = self._compute_disaggregation(area_context) + # Step 8: Store results in spp.gis.report.data now = fields.Datetime.now() @@ -1291,6 +1672,7 @@ def _refresh_data(self): "bucket_color": data.get("bucket_color", "#CCCCCC"), "bucket_label": data.get("bucket_label", "No Data"), "computed_at": now, + "disaggregation": disaggregation_by_area.get(area_id) or False, } if area_id in existing_data: @@ -1473,6 +1855,12 @@ def _to_geojson( # Get filtered data records data_records = self.env["spp.gis.report.data"].search(domain) + # Build threshold lookup for enriching bucket info with ranges + sorted_thresholds = self.threshold_ids.sorted("sequence") + threshold_ranges = { + i: (t.min_value, t.max_value) for i, t in enumerate(sorted_thresholds) + } + # Build features features = [] for data in data_records: @@ -1496,6 +1884,8 @@ def _to_geojson( "index": data.bucket_index, # null if no data "color": data.bucket_color, "label": data.bucket_label, + "min_value": threshold_ranges.get(data.bucket_index, (None, None))[0], + "max_value": threshold_ranges.get(data.bucket_index, (None, None))[1], }, "weight": data.weight, "record_count": data.record_count, @@ -1511,9 +1901,11 @@ def _to_geojson( "household_count": data.area_id.household_count, } - # Add disaggregation if requested + # Add disaggregation as flat disagg_* properties for QGIS compatibility if include_disaggregation and data.disaggregation: - properties["disaggregation"] = data.disaggregation + for dim_name, value_counts in data.disaggregation.items(): + for raw_value, count in value_counts.items(): + properties[f"disagg_{dim_name}_{raw_value}"] = count # Build feature feature = { @@ -1588,6 +1980,28 @@ def _to_geojson( ) metadata["thresholds"] = thresholds + # Add disaggregation dimension metadata (for interpreting disagg_* properties) + if include_disaggregation and self.dimension_ids: + disagg_metadata = [] + for dim in self.dimension_ids: + dim_info = { + "name": dim.name, + "label": dim.label, + "property_prefix": f"disagg_{dim.name}_", + } + if dim.value_labels_json: + labels = dim.value_labels_json + if isinstance(labels, str): + import json + + try: + labels = json.loads(labels) + except (json.JSONDecodeError, TypeError): + labels = {} + dim_info["value_labels"] = labels + disagg_metadata.append(dim_info) + metadata["disaggregation"] = disagg_metadata + # Add summary statistics if we have data if data_records: summary = self._get_summary( diff --git a/spp_gis_report/tests/__init__.py b/spp_gis_report/tests/__init__.py index 1ad03b1a..27947077 100644 --- a/spp_gis_report/tests/__init__.py +++ b/spp_gis_report/tests/__init__.py @@ -6,5 +6,6 @@ from . import test_gis_report from . import test_gis_report_api from . import test_gis_report_computation +from . import test_disaggregation from . import test_gis_report_data from . import test_gis_report_wizard diff --git a/spp_gis_report/tests/test_area_ext.py b/spp_gis_report/tests/test_area_ext.py index 65f72ff5..fc111726 100644 --- a/spp_gis_report/tests/test_area_ext.py +++ b/spp_gis_report/tests/test_area_ext.py @@ -817,8 +817,12 @@ def test_04_report_legend_from_thresholds(self): self.assertEqual(len(report_layer["report_legend"]), 2) self.assertEqual(report_layer["report_legend"][0]["color"], "#00ff00") self.assertEqual(report_layer["report_legend"][0]["label"], "Low") + self.assertEqual(report_layer["report_legend"][0]["min_value"], 0) + self.assertEqual(report_layer["report_legend"][0]["max_value"], 50) self.assertEqual(report_layer["report_legend"][1]["color"], "#ff0000") self.assertEqual(report_layer["report_legend"][1]["label"], "High") + self.assertEqual(report_layer["report_legend"][1]["min_value"], 50) + self.assertEqual(report_layer["report_legend"][1]["max_value"], 100) self.assertEqual(report_layer["report_legend_title"], "Report With Legend") def test_05_shapely_geometry_converted_to_geojson(self): diff --git a/spp_gis_report/tests/test_disaggregation.py b/spp_gis_report/tests/test_disaggregation.py new file mode 100644 index 00000000..1d6ed27f --- /dev/null +++ b/spp_gis_report/tests/test_disaggregation.py @@ -0,0 +1,452 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. + +import logging + +from odoo.fields import Command +from odoo.tests import tagged + +from .common import GISReportTestBase + +_logger = logging.getLogger(__name__) + + +@tagged("post_install", "-at_install") +class TestDisaggregation(GISReportTestBase): + """Test disaggregation computation via demographic dimensions.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + # Create gender dimension (field-based) + cls.gender_dimension = cls.env["spp.demographic.dimension"].search([("name", "=", "gender")], limit=1) + if not cls.gender_dimension: + cls.gender_dimension = cls.env["spp.demographic.dimension"].create( + { + "name": "gender", + "label": "Gender", + "dimension_type": "field", + "field_path": "gender_id.code", + "value_labels_json": {"1": "Male", "2": "Female", "0": "Not Known"}, + "default_value": "unknown", + } + ) + + # Create age_group dimension (field-based for testing, uses a simple field) + cls.age_dimension = cls.env["spp.demographic.dimension"].search([("name", "=", "age_group")], limit=1) + if not cls.age_dimension: + cls.age_dimension = cls.env["spp.demographic.dimension"].create( + { + "name": "age_group", + "label": "Age Group", + "dimension_type": "field", + "field_path": "is_group", + "value_labels_json": {"true": "Group", "false": "Individual"}, + "default_value": "unknown", + } + ) + + # Create individuals-only dimension + cls.individual_dimension = cls.env["spp.demographic.dimension"].create( + { + "name": "test_individual_dim", + "label": "Test Individual Dim", + "dimension_type": "field", + "field_path": "is_registrant", + "applies_to": "individuals", + "default_value": "n/a", + } + ) + + # ========================================================================= + # Phase B: _compute_disaggregation() tests + # ========================================================================= + + def test_disaggregation_no_dimensions_returns_empty(self): + """Test _compute_disaggregation returns empty dict when no dimensions configured.""" + report = self.create_test_report(name="No Dims Report") + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + self.assertEqual(result, {}) + + def test_disaggregation_non_partner_model_returns_empty(self): + """Test _compute_disaggregation returns empty dict for non-partner source model.""" + # Find a non-partner model + area_model = self.env["ir.model"].search([("model", "=", "spp.area")], limit=1) + if not area_model: + return # Skip if spp.area model not found + + report = self.env["spp.gis.report"].create( + { + "name": "Non-Partner Report", + "code": "non_partner_test", + "category_id": self.category.id, + "source_model_id": area_model.id, + "area_field_path": "parent_id", + "aggregation_method": "count", + "normalization_method": "raw", + "base_area_level": 2, + "dimension_ids": [Command.set([self.gender_dimension.id])], + } + ) + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + self.assertEqual(result, {}) + + def test_disaggregation_with_gender_dimension(self): + """Test _compute_disaggregation with gender dimension returns per-area counts.""" + report = self.create_test_report( + name="Gender Disagg Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # We have 3 registrants total: + # - individual_1 in district_1 (no gender set, should get default) + # - individual_2 in district_2 + # - group in district_1 + # All lack gender_id, so all should fall to default_value="unknown" + + # We should have results for areas that have registrants + self.assertIsInstance(result, dict) + # Each area result should have a "gender" key + for _area_id, disagg in result.items(): + self.assertIn("gender", disagg) + + def test_disaggregation_with_multiple_dimensions(self): + """Test _compute_disaggregation with multiple dimensions.""" + report = self.create_test_report( + name="Multi Dim Test", + dimension_ids=[Command.set([self.gender_dimension.id, self.age_dimension.id])], + ) + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # Each area result should have both dimension keys + for _area_id, disagg in result.items(): + self.assertIn("gender", disagg) + self.assertIn("age_group", disagg) + + def test_disaggregation_applies_to_filtering(self): + """Test _compute_disaggregation respects applies_to on dimensions.""" + report = self.create_test_report( + name="Applies To Test", + dimension_ids=[Command.set([self.individual_dimension.id])], + ) + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # The dimension only applies to individuals. Groups should get "n/a". + self.assertIsInstance(result, dict) + # District 1 has both an individual and a group + if self.area_district_1.id in result: + dim_data = result[self.area_district_1.id]["test_individual_dim"] + # The group registrant should have "n/a" value + self.assertIn("n/a", dim_data) + + def test_disaggregation_none_area_context_returns_empty(self): + """Test _compute_disaggregation returns empty dict when area_context is None.""" + report = self.create_test_report( + name="None Context Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + result = report._compute_disaggregation(None) + self.assertEqual(result, {}) + + # ========================================================================= + # Phase B: _refresh_data() stores disaggregation + # ========================================================================= + + def test_refresh_data_stores_disaggregation(self): + """Test _refresh_data populates disaggregation field on data records.""" + report = self.create_test_report( + name="Refresh Disagg Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + report._refresh_data() + + # Check that data records have disaggregation populated + data_with_disagg = report.data_ids.filtered(lambda d: d.disaggregation and d.area_level == 2) + # We should have base-level data records with disaggregation + # (only for areas that have registrants) + for data in data_with_disagg: + self.assertIn("gender", data.disaggregation) + + def test_refresh_data_no_dimensions_no_disaggregation(self): + """Test _refresh_data leaves disaggregation empty when no dimensions configured.""" + report = self.create_test_report(name="No Dims Refresh Test") + report._refresh_data() + + for data in report.data_ids: + self.assertFalse(data.disaggregation) + + # ========================================================================= + # Phase C: GeoJSON output with flat disagg_* properties + # ========================================================================= + + def test_geojson_flat_disagg_properties(self): + """Test GeoJSON output includes flat disagg_* properties when requested.""" + report = self.create_test_report( + name="GeoJSON Disagg Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + # Create data with known disaggregation + self.create_test_data( + report, + self.area_district_1, + raw_value=100, + disaggregation={"gender": {"1": 60, "2": 40}}, + ) + + geojson = report._to_geojson( + include_disaggregation=True, + include_geometry=False, + ) + + features = geojson["features"] + self.assertTrue(len(features) > 0) + + # Find the district_1 feature + feature = next(f for f in features if f["id"] == self.area_district_1.code) + props = feature["properties"] + + # Should have flat disagg_* properties + self.assertEqual(props["disagg_gender_1"], 60) + self.assertEqual(props["disagg_gender_2"], 40) + + def test_geojson_no_disagg_without_flag(self): + """Test GeoJSON without include_disaggregation has no disagg_* properties.""" + report = self.create_test_report( + name="GeoJSON No Disagg Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + self.create_test_data( + report, + self.area_district_1, + raw_value=100, + disaggregation={"gender": {"1": 60, "2": 40}}, + ) + + geojson = report._to_geojson( + include_disaggregation=False, + include_geometry=False, + ) + + feature = geojson["features"][0] + props = feature["properties"] + + # Should NOT have disagg_* properties + disagg_keys = [k for k in props if k.startswith("disagg_")] + self.assertEqual(len(disagg_keys), 0) + + def test_geojson_disagg_metadata(self): + """Test GeoJSON metadata includes disaggregation dimension info with labels.""" + report = self.create_test_report( + name="GeoJSON Metadata Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + self.create_test_data( + report, + self.area_district_1, + raw_value=100, + disaggregation={"gender": {"1": 60, "2": 40}}, + ) + + geojson = report._to_geojson( + include_disaggregation=True, + include_geometry=False, + ) + + metadata = geojson["metadata"] + self.assertIn("disaggregation", metadata) + self.assertEqual(len(metadata["disaggregation"]), 1) + + dim_meta = metadata["disaggregation"][0] + self.assertEqual(dim_meta["name"], "gender") + self.assertEqual(dim_meta["label"], "Gender") + self.assertEqual(dim_meta["property_prefix"], "disagg_gender_") + self.assertIn("value_labels", dim_meta) + self.assertEqual(dim_meta["value_labels"]["1"], "Male") + self.assertEqual(dim_meta["value_labels"]["2"], "Female") + + def test_geojson_no_disagg_metadata_without_flag(self): + """Test GeoJSON metadata excludes disaggregation when not requested.""" + report = self.create_test_report( + name="GeoJSON No Meta Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + ) + self.create_test_data(report, self.area_district_1, raw_value=100) + + geojson = report._to_geojson( + include_disaggregation=False, + include_geometry=False, + ) + + metadata = geojson["metadata"] + self.assertNotIn("disaggregation", metadata) + + # ========================================================================= + # Member Expansion Tests + # ========================================================================= + + def test_member_expansion_with_gender(self): + """Test member_expansion='expand' drills into group members.""" + # Create individual members of the group with gender + gender_male = self.env["spp.vocabulary.code"].search([("code", "=", "1")], limit=1) + gender_female = self.env["spp.vocabulary.code"].search([("code", "=", "2")], limit=1) + + # Only run if gender codes exist + if not gender_male or not gender_female: + self.skipTest("Gender vocabulary codes not available") + + member1 = self.env["res.partner"].create( + { + "name": "Member Male", + "is_registrant": True, + "is_group": False, + } + ) + member1.gender_id = gender_male.id + + member2 = self.env["res.partner"].create( + { + "name": "Member Female", + "is_registrant": True, + "is_group": False, + } + ) + member2.gender_id = gender_female.id + + # Add members to group + self.env["spp.group.membership"].create({"group": self.registrant_group.id, "individual": member1.id}) + self.env["spp.group.membership"].create({"group": self.registrant_group.id, "individual": member2.id}) + + # Create report with member expansion filtering groups + report = self.create_test_report( + name="Expand Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + member_expansion="expand", + filter_domain="[('is_registrant', '=', True), ('is_group', '=', True)]", + filter_mode="domain", + ) + + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # Should have results for district_1 (the group's area) + self.assertIn(self.area_district_1.id, result) + gender_data = result[self.area_district_1.id]["gender"] + # Should have counted individuals, not the group + total = sum(gender_data.values()) + self.assertEqual(total, 2) # 2 members + + def test_member_expansion_area_inheritance(self): + """Test individuals inherit area from their group when they lack one.""" + member = self.env["res.partner"].create( + { + "name": "No Area Member", + "is_registrant": True, + "is_group": False, + # No area_id set + } + ) + + self.env["spp.group.membership"].create({"group": self.registrant_group.id, "individual": member.id}) + + report = self.create_test_report( + name="Area Inherit Test", + dimension_ids=[Command.set([self.age_dimension.id])], + member_expansion="expand", + filter_domain="[('is_registrant', '=', True), ('is_group', '=', True)]", + filter_mode="domain", + ) + + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # The member should appear under district_1 (inherited from group) + self.assertIn(self.area_district_1.id, result) + + def test_member_expansion_distinct_dedup(self): + """Test individuals in multiple groups are counted once (DISTINCT).""" + # Create a second group in district_1 + group2 = self.env["res.partner"].create( + { + "name": "Test Group 2", + "is_registrant": True, + "is_group": True, + "area_id": self.area_district_1.id, + } + ) + + shared_member = self.env["res.partner"].create( + { + "name": "Shared Member", + "is_registrant": True, + "is_group": False, + } + ) + + # Add to both groups + self.env["spp.group.membership"].create({"group": self.registrant_group.id, "individual": shared_member.id}) + self.env["spp.group.membership"].create({"group": group2.id, "individual": shared_member.id}) + + report = self.create_test_report( + name="Dedup Test", + dimension_ids=[Command.set([self.age_dimension.id])], + member_expansion="expand", + filter_domain="[('is_registrant', '=', True), ('is_group', '=', True)]", + filter_mode="domain", + ) + + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # Count the total across all dimension values for district_1 + if self.area_district_1.id in result: + age_data = result[self.area_district_1.id].get("age_group", {}) + total = sum(age_data.values()) + # shared_member should only be counted once (not doubled across groups) + self.assertEqual(total, 1) + + def test_backward_compat_no_expansion(self): + """Test member_expansion='none' produces same output format as before.""" + report = self.create_test_report( + name="Backward Compat Test", + dimension_ids=[Command.set([self.gender_dimension.id])], + member_expansion="none", + ) + area_context = report._prepare_area_context() + result = report._compute_disaggregation(area_context) + + # Should still produce {area_id: {dim_name: {value: count}}} + self.assertIsInstance(result, dict) + for _area_id, disagg in result.items(): + self.assertIn("gender", disagg) + for value, count in disagg["gender"].items(): + self.assertIsInstance(value, str) + self.assertIsInstance(count, int) + + def test_member_expansion_constrains(self): + """Test member_expansion='expand' rejected for non-partner models.""" + area_model = self.env["ir.model"].search([("model", "=", "spp.area")], limit=1) + if not area_model: + self.skipTest("spp.area model not available") + + from odoo.exceptions import ValidationError + + with self.assertRaises(ValidationError): + self.env["spp.gis.report"].create( + { + "name": "Bad Expand Report", + "code": "bad_expand_test", + "category_id": self.category.id, + "source_model_id": area_model.id, + "area_field_path": "parent_id", + "aggregation_method": "count", + "normalization_method": "raw", + "base_area_level": 2, + "member_expansion": "expand", + } + ) diff --git a/spp_gis_report/tests/test_gis_report_api.py b/spp_gis_report/tests/test_gis_report_api.py index 051c49c3..673fdc33 100644 --- a/spp_gis_report/tests/test_gis_report_api.py +++ b/spp_gis_report/tests/test_gis_report_api.py @@ -104,6 +104,19 @@ def setUpClass(cls): } ) + # Get or create a gender dimension for test + cls.gender_dimension = cls.env["spp.demographic.dimension"].search([("name", "=", "gender")], limit=1) + if not cls.gender_dimension: + cls.gender_dimension = cls.env["spp.demographic.dimension"].create( + { + "name": "gender", + "label": "Gender", + "dimension_type": "field", + "field_path": "gender_id.code", + "value_labels_json": {"1": "Male", "2": "Female", "0": "Not Known"}, + } + ) + # Create report with disaggregation cls.report_disagg = cls.env["spp.gis.report"].create( { @@ -115,7 +128,7 @@ def setUpClass(cls): "aggregation_method": "count", "normalization_method": "raw", "base_area_level": 2, - "disaggregate_by_gender": True, + "dimension_ids": [(6, 0, [cls.gender_dimension.id])], } ) cls.env["spp.gis.report.data"].create( @@ -328,16 +341,24 @@ def test_10_geojson_simple_format(self): self.assertNotIn("metadata", result) def test_11_geojson_with_disaggregation(self): - """Test GeoJSON includes disaggregation data when requested.""" + """Test GeoJSON includes flat disagg_* properties when requested.""" self.authenticate("admin", "admin") result = self._get_json( "/api/v2/GISReport/api_disagg_test/geojson?include_disaggregation=true&include_geometry=false" ) - # Verify disaggregation included + # Verify flat disagg_* properties are present feature = result["features"][0] - self.assertIn("disaggregation", feature["properties"]) - self.assertIn("gender", feature["properties"]["disaggregation"]) + props = feature["properties"] + # The stored disaggregation has gender.male=60, gender.female=40 + self.assertIn("disagg_gender_male", props) + self.assertEqual(props["disagg_gender_male"], 60) + self.assertIn("disagg_gender_female", props) + self.assertEqual(props["disagg_gender_female"], 40) + + # Verify disaggregation metadata in the metadata block + metadata = result.get("metadata", {}) + self.assertIn("disaggregation", metadata) def test_12_geojson_report_not_found(self): """Test GeoJSON endpoint handles non-existent report.""" diff --git a/spp_gis_report/tests/test_gis_report_wizard.py b/spp_gis_report/tests/test_gis_report_wizard.py index c66f0415..695f7a60 100644 --- a/spp_gis_report/tests/test_gis_report_wizard.py +++ b/spp_gis_report/tests/test_gis_report_wizard.py @@ -349,6 +349,18 @@ def test_14_wizard_code_uniqueness(self): def test_15_wizard_prepare_report_vals(self): """Test preparation of report values from wizard.""" + # Get or create a gender dimension for test + gender_dim = self.env["spp.demographic.dimension"].search([("name", "=", "gender")], limit=1) + if not gender_dim: + gender_dim = self.env["spp.demographic.dimension"].create( + { + "name": "gender", + "label": "Gender", + "dimension_type": "field", + "field_path": "gender_id.code", + } + ) + wizard = self.env["spp.gis.report.wizard"].create( { "template_id": self.template.id, @@ -357,7 +369,7 @@ def test_15_wizard_prepare_report_vals(self): "base_area_level": 2, "normalization_method": "per_area_sqkm", "enable_rollup": True, - "disaggregate_by_gender": True, + "dimension_ids": [(6, 0, [gender_dim.id])], "threshold_mode": "auto_quartile", "refresh_mode": "scheduled", "refresh_interval": "hourly", @@ -376,7 +388,8 @@ def test_15_wizard_prepare_report_vals(self): self.assertEqual(vals["base_area_level"], 2) self.assertEqual(vals["normalization_method"], "per_area_sqkm") self.assertTrue(vals["enable_rollup"]) - self.assertTrue(vals["disaggregate_by_gender"]) + # dimension_ids should be a Command tuple + self.assertIn("dimension_ids", vals) # Check threshold fields self.assertEqual(vals["threshold_mode"], "auto_quartile") @@ -418,22 +431,44 @@ def test_17_wizard_no_template_error(self): self.assertIn("template", str(cm.exception).lower()) def test_18_wizard_disaggregation_options(self): - """Test disaggregation options are properly set.""" + """Test disaggregation dimension_ids are properly set.""" + # Get or create dimensions for test + gender_dim = self.env["spp.demographic.dimension"].search([("name", "=", "gender")], limit=1) + if not gender_dim: + gender_dim = self.env["spp.demographic.dimension"].create( + { + "name": "gender", + "label": "Gender", + "dimension_type": "field", + "field_path": "gender_id.code", + } + ) + age_dim = self.env["spp.demographic.dimension"].search([("name", "=", "age_group")], limit=1) + if not age_dim: + age_dim = self.env["spp.demographic.dimension"].create( + { + "name": "age_group", + "label": "Age Group", + "dimension_type": "expression", + "cel_expression": "age_bucket(r.birthdate)", + } + ) + wizard = self.env["spp.gis.report.wizard"].create( { "template_id": self.template.id, "name": "Disaggregation Test", "base_area_level": 2, - "disaggregate_by_gender": True, - "disaggregate_by_age": True, + "dimension_ids": [(6, 0, [gender_dim.id, age_dim.id])], } ) result = wizard.action_create_report() report = self.env["spp.gis.report"].browse(result["res_id"]) - self.assertTrue(report.disaggregate_by_gender) - self.assertTrue(report.disaggregate_by_age) + self.assertEqual(len(report.dimension_ids), 2) + self.assertIn(gender_dim, report.dimension_ids) + self.assertIn(age_dim, report.dimension_ids) def test_19_wizard_color_schemes(self): """Test different color scheme options.""" diff --git a/spp_gis_report/views/gis_report_views.xml b/spp_gis_report/views/gis_report_views.xml index b861a84d..6ead4ccd 100644 --- a/spp_gis_report/views/gis_report_views.xml +++ b/spp_gis_report/views/gis_report_views.xml @@ -327,16 +327,13 @@ Part of OpenSPP. See LICENSE file for full copyright and licensing details. > - diff --git a/spp_gis_report/wizards/gis_report_wizard.py b/spp_gis_report/wizards/gis_report_wizard.py index c0e809dd..13ccca00 100644 --- a/spp_gis_report/wizards/gis_report_wizard.py +++ b/spp_gis_report/wizards/gis_report_wizard.py @@ -102,15 +102,10 @@ class GISReportWizard(models.TransientModel): ) # Disaggregation options - disaggregate_by_gender = fields.Boolean( - string="Include Gender Disaggregation", - default=False, - help="Show gender breakdown in map popups", - ) - disaggregate_by_age = fields.Boolean( - string="Include Age Group Disaggregation", - default=False, - help="Show age group breakdown in map popups", + dimension_ids = fields.Many2many( + "spp.demographic.dimension", + string="Disaggregation Dimensions", + help="Demographic dimensions to compute disaggregation for", ) # Rollup @@ -360,8 +355,7 @@ def _prepare_report_vals(self): "base_area_level": self.base_area_level, "normalization_method": self.normalization_method, "enable_rollup": self.enable_rollup, - "disaggregate_by_gender": self.disaggregate_by_gender, - "disaggregate_by_age": self.disaggregate_by_age, + "dimension_ids": [(6, 0, self.dimension_ids.ids)], # Thresholds "threshold_mode": self.threshold_mode, "color_scheme_id": self.color_scheme_id.id, diff --git a/spp_gis_report/wizards/gis_report_wizard_views.xml b/spp_gis_report/wizards/gis_report_wizard_views.xml index 9d7cd451..223aab16 100644 --- a/spp_gis_report/wizards/gis_report_wizard_views.xml +++ b/spp_gis_report/wizards/gis_report_wizard_views.xml @@ -147,8 +147,11 @@ - - +
diff --git a/spp_metrics_services/data/demographic_dimensions.xml b/spp_metrics_services/data/demographic_dimensions.xml index 862bb3f5..18191d92 100644 --- a/spp_metrics_services/data/demographic_dimensions.xml +++ b/spp_metrics_services/data/demographic_dimensions.xml @@ -7,8 +7,8 @@ Gender identity from ISO 5218 vocabulary 10 field - gender_id - all + gender_id.code + individuals {"0": "Not Known", "1": "Male", "2": "Female", "9": "Not Applicable"} @@ -56,23 +56,25 @@ >{"true": "Group/Household", "false": "Individual"} - + age_group Age Group - Age group based on birth date + Age group based on birth date (UNICEF/WHO-aligned) 50 expression individuals {"child": "Child (0-17)", "adult": "Adult (18-59)", "elderly": "Elderly (60+)", "unknown": "Unknown"} + >{"under_5": "Under 5", "child": "Child (5-14)", "adolescent": "Adolescent (15-17)", "adult": "Adult (18-59)", "elderly": "Elderly (60+)", "unknown": "Unknown"} diff --git a/spp_metrics_services/models/breakdown_service.py b/spp_metrics_services/models/breakdown_service.py index 5f9b978e..82073159 100644 --- a/spp_metrics_services/models/breakdown_service.py +++ b/spp_metrics_services/models/breakdown_service.py @@ -56,6 +56,14 @@ def compute_breakdown(self, registrant_ids, group_by, statistics=None, context=N if not dimensions: return {} + # Auto-expand groups to members when any dimension applies to individuals only + needs_expansion = any(d.applies_to == "individuals" for d in dimensions) + if needs_expansion: + registrant_ids = self._expand_groups_to_members(registrant_ids) + + if not registrant_ids: + return {} + # Get cache service cache_service = self.env["spp.metrics.dimension.cache"] @@ -95,3 +103,36 @@ def compute_breakdown(self, registrant_ids, group_by, statistics=None, context=N # TODO: Add per-cell statistics if needed return breakdown + + @api.model + def _expand_groups_to_members(self, registrant_ids): + """ + Expand group IDs to their individual member IDs. + + Groups are replaced by their active members. Individual IDs pass through. + The result is deduplicated. + + :param registrant_ids: List of partner IDs (groups and/or individuals) + :returns: Deduplicated list of individual partner IDs + :rtype: list + """ + Partner = self.env["res.partner"].sudo() # nosemgrep: odoo-sudo-without-context + records = Partner.browse(registrant_ids).exists() + + group_ids = records.filtered("is_group").ids + individual_ids = set(records.filtered(lambda r: not r.is_group).ids) + + if not group_ids: + return list(individual_ids) + + # Expand groups via active memberships + Membership = self.env["spp.group.membership"].sudo() # nosemgrep: odoo-sudo-without-context + memberships = Membership.search([ + ("group", "in", group_ids), + ("is_ended", "=", False), + ]) + + for membership in memberships: + individual_ids.add(membership.individual.id) + + return list(individual_ids) diff --git a/spp_metrics_services/models/demographic_dimension.py b/spp_metrics_services/models/demographic_dimension.py index 95fad6ef..af0dfebd 100644 --- a/spp_metrics_services/models/demographic_dimension.py +++ b/spp_metrics_services/models/demographic_dimension.py @@ -1,13 +1,25 @@ # Part of OpenSPP. See LICENSE file for full copyright and licensing details. import json import logging +from dataclasses import dataclass +from dataclasses import field as dataclass_field from odoo import _, api, fields, models from odoo.exceptions import ValidationError +from odoo.tools.sql import SQL _logger = logging.getLogger(__name__) +@dataclass +class SQLColumnResult: + """Result of compiling a demographic dimension to a SQL expression.""" + + expression: SQL + joins: list[SQL] = dataclass_field(default_factory=list) + alias_counter: int = 0 + + class DemographicDimension(models.Model): """ Configurable demographic dimensions for group_by breakdowns. @@ -173,8 +185,10 @@ def _evaluate_field(self, record): return self.default_value or "unknown" # Convert to string key - if hasattr(value, "id"): - # Many2one - use code or display_name for meaningful keys + if hasattr(value, "_name"): + # Odoo recordset (Many2one). Empty recordset means the field is unset. + if not value: + return self.default_value or "unknown" if hasattr(value, "code") and value.code: key = str(value.code) else: @@ -211,28 +225,70 @@ def get_label_for_value(self, value): """ Get the display label for a dimension value. + First checks value_labels_json for a static mapping. If not found and + the dimension is field-based pointing to a Many2one, dynamically looks + up the display_name from the related model. + :param value: The raw dimension value :returns: Display label :rtype: str """ self.ensure_one() - if not self.value_labels_json: - return value - - # Handle case where value_labels_json is a string (JSON not yet parsed) - labels = self.value_labels_json - if isinstance(labels, str): - try: - labels = json.loads(labels) - except (json.JSONDecodeError, TypeError): - return value - - # Convert value to string for lookup (keys are strings in JSON) - str_value = str(value) if value is not None else "null" - if str_value in labels: - return labels[str_value] + + # Check static labels first + if self.value_labels_json: + labels = self.value_labels_json + if isinstance(labels, str): + try: + labels = json.loads(labels) + except (json.JSONDecodeError, TypeError): + labels = {} + + str_value = str(value) if value is not None else "null" + if str_value in labels: + return labels[str_value] + + # For field-based dimensions pointing to a Many2one, try dynamic lookup + if self.dimension_type == "field" and self.field_path: + label = self._lookup_m2o_label(value) + if label: + return label + return value + def _lookup_m2o_label(self, raw_value): + """Look up display_name for a Many2one field-based dimension value. + + When field_path points to a Many2one (e.g. area_id, gender_id), the raw + value is typically the record's code. This method searches the related + model by code to return the display_name. + + :param raw_value: The raw dimension value (typically a code string) + :returns: display_name or None if not found + """ + # Only handle simple field paths (one segment, no dotted traversal + # like "gender_id.code" where the user explicitly chose a sub-field) + if "." in self.field_path: + return None + + field_name = self.field_path + partner_fields = self.env["res.partner"]._fields + if field_name not in partner_fields: + return None + + field = partner_fields[field_name] + if field.type != "many2one": + return None + + comodel = self.env[field.comodel_name] + # Search by code if the related model has a code field + if "code" in comodel._fields: + record = comodel.search([("code", "=", raw_value)], limit=1) + if record: + return record.display_name + + return None + @api.model def get_by_name(self, name): """ @@ -260,6 +316,176 @@ def get_active_dimensions(self, applies_to=None): domain.append(("applies_to", "=", applies_to)) return self.search(domain, order="sequence, name") + # ------------------------------------------------------------------------- + # SQL Column Generation + # ------------------------------------------------------------------------- + def to_sql_column(self, alias="ind", alias_counter=0): + """Generate a SQL expression for this dimension's value. + + Compiles this dimension to a SQL expression that can be used in a + SELECT clause. For field-based dimensions, generates column references + (with JOINs for Many2one). For CEL expression dimensions, delegates to + the CEL-to-SQL compiler. + + Args: + alias: SQL alias for the res_partner table (default "ind") + alias_counter: Counter for generating unique join aliases + + Returns: + SQLColumnResult | None: SQL expression + joins, or None if + SQL compilation is not possible (fall back to Python). + """ + self.ensure_one() + default = self.default_value or "unknown" + + if self.dimension_type == "field": + result = self._to_sql_column_field(alias, alias_counter, default) + elif self.dimension_type == "expression": + result = self._to_sql_column_expression(alias, alias_counter, default) + else: + return None + + if result is None: + return None + + # Wrap with applies_to filter: return default for non-matching registrants + if self.applies_to == "individuals": + result = SQLColumnResult( + expression=SQL( + "CASE WHEN %s.%s = FALSE THEN %s ELSE %s END", + SQL.identifier(alias), + SQL.identifier("is_group"), + result.expression, + SQL("%s", default), + ), + joins=result.joins, + alias_counter=result.alias_counter, + ) + elif self.applies_to == "groups": + result = SQLColumnResult( + expression=SQL( + "CASE WHEN %s.%s = TRUE THEN %s ELSE %s END", + SQL.identifier(alias), + SQL.identifier("is_group"), + result.expression, + SQL("%s", default), + ), + joins=result.joins, + alias_counter=result.alias_counter, + ) + + return result + + def _to_sql_column_field(self, alias, alias_counter, default): + """Generate SQL for a field-based dimension.""" + if not self.field_path: + return None + + parts = self.field_path.split(".") + partner_fields = self.env["res.partner"]._fields + + if len(parts) == 1: + # Simple field (e.g., is_group, area_id) + field_name = parts[0] + if field_name not in partner_fields: + return None + + field_def = partner_fields[field_name] + if field_def.type == "many2one": + # Many2one direct: use code from related model if available + return self._to_sql_column_m2o_direct(alias, alias_counter, field_name, field_def, default) + else: + # Scalar field: CAST to text + col = SQL("%s.%s", SQL.identifier(alias), SQL.identifier(field_name)) + expr = SQL("COALESCE(CAST(%s AS TEXT), %s)", col, default) + return SQLColumnResult(expression=expr, alias_counter=alias_counter) + + elif len(parts) == 2: + # Dotted path (e.g., gender_id.code) + field_name, sub_field = parts + if field_name not in partner_fields: + return None + + field_def = partner_fields[field_name] + if field_def.type != "many2one": + return None + + return self._to_sql_column_m2o_sub(alias, alias_counter, field_name, field_def, sub_field, default) + + # Deeper paths not supported in SQL + return None + + def _to_sql_column_m2o_direct(self, alias, alias_counter, field_name, field_def, default): + """Generate SQL for a direct Many2one field (e.g., gender_id, area_id). + + JOINs to the comodel and uses code if available, otherwise id as text. + """ + comodel_name = field_def.comodel_name + comodel = self.env[comodel_name] + join_alias = f"_dim{alias_counter}" + comodel_table = comodel._table + + fk_col = SQL("%s.%s", SQL.identifier(alias), SQL.identifier(field_name)) + join_id = SQL("%s.id", SQL.identifier(join_alias)) + join_sql = SQL( + "LEFT JOIN %s %s ON %s = %s", + SQL.identifier(comodel_table), + SQL.identifier(join_alias), + join_id, + fk_col, + ) + + if "code" in comodel._fields: + code_col = SQL("%s.%s", SQL.identifier(join_alias), SQL.identifier("code")) + expr = SQL("COALESCE(CAST(%s AS TEXT), %s)", code_col, default) + else: + id_col = SQL("%s.id", SQL.identifier(join_alias)) + expr = SQL("COALESCE(CAST(%s AS TEXT), %s)", id_col, default) + + return SQLColumnResult(expression=expr, joins=[join_sql], alias_counter=alias_counter + 1) + + def _to_sql_column_m2o_sub(self, alias, alias_counter, field_name, field_def, sub_field, default): + """Generate SQL for a Many2one dotted path (e.g., gender_id.code).""" + comodel_name = field_def.comodel_name + comodel = self.env[comodel_name] + join_alias = f"_dim{alias_counter}" + comodel_table = comodel._table + + if sub_field not in comodel._fields: + return None + + fk_col = SQL("%s.%s", SQL.identifier(alias), SQL.identifier(field_name)) + join_id = SQL("%s.id", SQL.identifier(join_alias)) + join_sql = SQL( + "LEFT JOIN %s %s ON %s = %s", + SQL.identifier(comodel_table), + SQL.identifier(join_alias), + join_id, + fk_col, + ) + + sub_col = SQL("%s.%s", SQL.identifier(join_alias), SQL.identifier(sub_field)) + expr = SQL("COALESCE(CAST(%s AS TEXT), %s)", sub_col, default) + + return SQLColumnResult(expression=expr, joins=[join_sql], alias_counter=alias_counter + 1) + + def _to_sql_column_expression(self, alias, alias_counter, default): + """Generate SQL for a CEL expression-based dimension.""" + if not self.cel_expression: + return None + + try: + translator = self.env["spp.cel.translator"] + except KeyError: + return None + + sql_expr = translator.to_sql_case(self.cel_expression, "res.partner", alias) + if sql_expr is None: + return None + + expr = SQL("COALESCE(CAST(%s AS TEXT), %s)", sql_expr, default) + return SQLColumnResult(expression=expr, alias_counter=alias_counter) + # ------------------------------------------------------------------------- # Cache Invalidation # ------------------------------------------------------------------------- diff --git a/spp_metrics_services/tests/__init__.py b/spp_metrics_services/tests/__init__.py index 0c7a9d58..ba8bf44a 100644 --- a/spp_metrics_services/tests/__init__.py +++ b/spp_metrics_services/tests/__init__.py @@ -3,3 +3,5 @@ from . import test_services from . import test_dimension_cache from . import test_coverage +from . import test_sql_column +from . import test_breakdown_expansion diff --git a/spp_metrics_services/tests/test_breakdown_expansion.py b/spp_metrics_services/tests/test_breakdown_expansion.py new file mode 100644 index 00000000..c7193807 --- /dev/null +++ b/spp_metrics_services/tests/test_breakdown_expansion.py @@ -0,0 +1,129 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for BreakdownService group-to-member expansion.""" + +from odoo.tests import TransactionCase, tagged + + +@tagged("post_install", "-at_install") +class TestBreakdownExpansion(TransactionCase): + """Test that BreakdownService expands groups to members for individual-level dimensions.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + + cls.breakdown = cls.env["spp.metrics.breakdown"] + cls.dim_model = cls.env["spp.demographic.dimension"] + + # Create a dimension that applies to individuals only + cls.gender_dim = cls.dim_model.search([("name", "=", "gender")], limit=1) + if not cls.gender_dim: + cls.gender_dim = cls.dim_model.create( + { + "name": "gender", + "label": "Gender", + "dimension_type": "field", + "field_path": "gender_id.code", + "applies_to": "individuals", + "default_value": "unknown", + } + ) + else: + # Ensure applies_to is set for this test + cls.gender_dim.applies_to = "individuals" + + # Create a dimension that applies to all + cls.type_dim = cls.dim_model.search([("name", "=", "registrant_type")], limit=1) + if not cls.type_dim: + cls.type_dim = cls.dim_model.create( + { + "name": "registrant_type", + "label": "Registrant Type", + "dimension_type": "field", + "field_path": "is_group", + "applies_to": "all", + "default_value": "unknown", + } + ) + + # Create a group with two individual members + cls.group = cls.env["res.partner"].create( + { + "name": "Expansion Test Group", + "is_registrant": True, + "is_group": True, + } + ) + + cls.member1 = cls.env["res.partner"].create( + { + "name": "Member 1", + "is_registrant": True, + "is_group": False, + } + ) + cls.member2 = cls.env["res.partner"].create( + { + "name": "Member 2", + "is_registrant": True, + "is_group": False, + } + ) + + # Create memberships + cls.env["spp.group.membership"].create({"group": cls.group.id, "individual": cls.member1.id}) + cls.env["spp.group.membership"].create({"group": cls.group.id, "individual": cls.member2.id}) + + def test_expansion_with_individual_dimension(self): + """Passing group IDs with individual-level dimensions expands to members.""" + result = self.breakdown.compute_breakdown([self.group.id], ["gender"]) + + # Should have breakdown entries (from the 2 members, not the 1 group) + total = sum(cell["count"] for cell in result.values()) + self.assertEqual(total, 2, "Should count 2 individual members, not 1 group") + + def test_no_expansion_with_all_dimension(self): + """Passing group IDs with applies_to='all' dimensions does NOT expand.""" + result = self.breakdown.compute_breakdown([self.group.id], ["registrant_type"]) + + total = sum(cell["count"] for cell in result.values()) + self.assertEqual(total, 1, "Should count 1 group record without expansion") + + def test_mixed_group_and_individual_ids(self): + """Mixed group + individual IDs: groups expand, individuals pass through.""" + result = self.breakdown.compute_breakdown( + [self.group.id, self.member1.id], + ["gender"], + ) + + # group expands to member1 + member2, plus member1 directly = 3 IDs + # but member1 appears twice, so after dedup = 2 unique individuals + total = sum(cell["count"] for cell in result.values()) + self.assertEqual(total, 2, "Duplicates from expansion should be deduplicated") + + def test_empty_group_no_phantom_entries(self): + """Group with no active members produces no entries.""" + empty_group = self.env["res.partner"].create( + { + "name": "Empty Group", + "is_registrant": True, + "is_group": True, + } + ) + result = self.breakdown.compute_breakdown([empty_group.id], ["gender"]) + total = sum(cell["count"] for cell in result.values()) + self.assertEqual(total, 0, "Empty group should produce no breakdown entries") + + def test_existing_tests_unaffected(self): + """Empty group_by still returns empty dict.""" + result = self.breakdown.compute_breakdown([self.group.id], []) + self.assertEqual(result, {}) + + def test_individual_ids_with_individual_dimension(self): + """Passing individual IDs with individual-level dimensions works without expansion.""" + result = self.breakdown.compute_breakdown( + [self.member1.id, self.member2.id], + ["gender"], + ) + total = sum(cell["count"] for cell in result.values()) + self.assertEqual(total, 2, "Individual IDs should pass through without expansion") diff --git a/spp_metrics_services/tests/test_coverage.py b/spp_metrics_services/tests/test_coverage.py index 5c0ff133..a2eef746 100644 --- a/spp_metrics_services/tests/test_coverage.py +++ b/spp_metrics_services/tests/test_coverage.py @@ -299,6 +299,62 @@ def test_evaluate_for_record_error_no_default(self): # get_label_for_value # ------------------------------------------------------------------------- + def test_evaluate_field_empty_many2one_returns_default(self): + """Empty Many2one (unset field) returns default_value, not 'False'.""" + dim = self.dim_model.create( + { + "name": "test_empty_m2o", + "label": "Empty M2O", + "dimension_type": "field", + "field_path": "company_id", + "applies_to": "all", + "default_value": "unset", + } + ) + # Individual with company_id explicitly cleared + partner = self.partner_model.create( + { + "name": "No Company", + "is_registrant": True, + "is_group": False, + "company_id": False, + } + ) + result = dim.evaluate_for_record(partner) + self.assertEqual(result, "unset") + + def test_get_label_for_value_m2o_dynamic_lookup(self): + """get_label_for_value dynamically looks up Many2one display_name.""" + # Use company_id which doesn't have a 'code' field on res.company + dim = self.dim_model.create( + { + "name": "test_m2o_label_lookup", + "label": "Area Label", + "dimension_type": "field", + "field_path": "company_id", + "applies_to": "all", + } + ) + # For a field without code, dynamic lookup won't match + # (res.company has no code field), so it falls back to raw value + result = dim.get_label_for_value("some_code") + self.assertEqual(result, "some_code") + + def test_get_label_for_value_static_takes_precedence(self): + """Static value_labels_json takes precedence over dynamic lookup.""" + dim = self.dim_model.create( + { + "name": "test_static_precedence", + "label": "Static", + "dimension_type": "field", + "field_path": "company_id", + "applies_to": "all", + "value_labels_json": {"MY_CODE": "My Display Name"}, + } + ) + result = dim.get_label_for_value("MY_CODE") + self.assertEqual(result, "My Display Name") + def test_get_label_for_value_with_json_mapping(self): """Value label lookup from JSON mapping.""" dim = self.dim_model.create( diff --git a/spp_metrics_services/tests/test_sql_column.py b/spp_metrics_services/tests/test_sql_column.py new file mode 100644 index 00000000..ef497e4d --- /dev/null +++ b/spp_metrics_services/tests/test_sql_column.py @@ -0,0 +1,155 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for DemographicDimension.to_sql_column() SQL compilation.""" + +from odoo.tests import TransactionCase, tagged +from odoo.tools.sql import SQL + +from ..models.demographic_dimension import SQLColumnResult + + +@tagged("post_install", "-at_install") +class TestDimensionSqlColumn(TransactionCase): + """Test to_sql_column() for field-based and expression-based dimensions.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + Dim = cls.env["spp.demographic.dimension"] + + # Simple boolean field + cls.dim_is_group = Dim.create( + { + "name": "test_is_group", + "label": "Is Group", + "dimension_type": "field", + "field_path": "is_group", + "default_value": "unknown", + } + ) + + # Many2one with .code path (gender_id.code) + cls.dim_gender_code = Dim.create( + { + "name": "test_gender_code", + "label": "Gender Code", + "dimension_type": "field", + "field_path": "gender_id.code", + "default_value": "unknown", + } + ) + + # Many2one direct (gender_id) + cls.dim_gender_direct = Dim.create( + { + "name": "test_gender_direct", + "label": "Gender Direct", + "dimension_type": "field", + "field_path": "gender_id", + "default_value": "unknown", + } + ) + + # CEL expression dimension + cls.dim_age_group = Dim.create( + { + "name": "test_age_group", + "label": "Age Group", + "dimension_type": "expression", + "cel_expression": ( + 'r.birthdate == null ? "unknown" : ' + 'age_years(r.birthdate) < 18 ? "child" : ' + 'age_years(r.birthdate) < 60 ? "adult" : "elderly"' + ), + "default_value": "unknown", + } + ) + + def test_field_simple_returns_sql(self): + """Test simple field produces CAST + COALESCE SQL.""" + result = self.dim_is_group.to_sql_column("p", 0) + self.assertIsNotNone(result) + self.assertIsInstance(result, SQLColumnResult) + self.assertIsInstance(result.expression, SQL) + self.assertEqual(result.joins, []) + sql_str = str(result.expression) + self.assertIn("COALESCE", sql_str) + self.assertIn("CAST", sql_str) + self.assertIn("is_group", sql_str) + + def test_field_m2o_code_path_produces_join(self): + """Test M2O dotted path (gender_id.code) produces LEFT JOIN.""" + result = self.dim_gender_code.to_sql_column("ind", 0) + self.assertIsNotNone(result) + self.assertEqual(len(result.joins), 1) + join_str = str(result.joins[0]) + self.assertIn("LEFT JOIN", join_str) + sql_str = str(result.expression) + self.assertIn("code", sql_str) + # alias_counter should be incremented + self.assertEqual(result.alias_counter, 1) + + def test_field_m2o_direct_produces_join(self): + """Test direct M2O field (gender_id) produces LEFT JOIN with code lookup.""" + result = self.dim_gender_direct.to_sql_column("ind", 0) + self.assertIsNotNone(result) + self.assertEqual(len(result.joins), 1) + join_str = str(result.joins[0]) + self.assertIn("LEFT JOIN", join_str) + + def test_expression_produces_case_when(self): + """Test CEL expression dimension compiles to CASE WHEN SQL.""" + result = self.dim_age_group.to_sql_column("ind", 0) + self.assertIsNotNone(result) + self.assertIsInstance(result, SQLColumnResult) + sql_str = str(result.expression) + self.assertIn("CASE WHEN", sql_str) + self.assertIn("COALESCE", sql_str) + + def test_unsupported_expression_returns_none(self): + """Test unsupported CEL expression returns None for fallback.""" + dim = self.env["spp.demographic.dimension"].create( + { + "name": "test_unsupported", + "label": "Unsupported", + "dimension_type": "expression", + "cel_expression": "r.income + r.bonus", + "default_value": "n/a", + } + ) + result = dim.to_sql_column("ind", 0) + self.assertIsNone(result) + + def test_invalid_field_path_returns_none(self): + """Test invalid field path returns None.""" + dim = self.env["spp.demographic.dimension"].create( + { + "name": "test_invalid_field", + "label": "Invalid Field", + "dimension_type": "field", + "field_path": "nonexistent_field", + "default_value": "n/a", + } + ) + result = dim.to_sql_column("ind", 0) + self.assertIsNone(result) + + def test_alias_counter_increments(self): + """Test multiple dimensions get unique join aliases.""" + r1 = self.dim_gender_code.to_sql_column("ind", 0) + r2 = self.dim_gender_direct.to_sql_column("ind", r1.alias_counter) + self.assertNotEqual(r1.alias_counter, r2.alias_counter) + # Join aliases should differ + join1_str = str(r1.joins[0]) + join2_str = str(r2.joins[0]) + self.assertIn("_dim0", join1_str) + self.assertIn("_dim1", join2_str) + + def test_cross_module_cel_call(self): + """Test to_sql_column works cross-module (spp_metrics_services calling spp_cel_domain).""" + # This is the key cross-module integration test + result = self.dim_age_group.to_sql_column("t", 5) + self.assertIsNotNone(result) + sql_str = str(result.expression) + # Should reference the correct alias + self.assertIn("t", sql_str) + self.assertIn("birthdate", sql_str) diff --git a/spp_mis_demo_v2/data/demo_gis_reports.xml b/spp_mis_demo_v2/data/demo_gis_reports.xml index 17ee11ca..3e3e507c 100644 --- a/spp_mis_demo_v2/data/demo_gis_reports.xml +++ b/spp_mis_demo_v2/data/demo_gis_reports.xml @@ -31,7 +31,11 @@ auto_quartile 5 - True + + expand scheduled daily @@ -60,7 +64,11 @@ auto_jenks 5 - True + + expand scheduled daily @@ -89,8 +97,10 @@ auto_quartile 4 - True - True + scheduled weekly diff --git a/spp_mis_demo_v2/data/demo_statistics.xml b/spp_mis_demo_v2/data/demo_statistics.xml index a59c977a..a3a2bffd 100644 --- a/spp_mis_demo_v2/data/demo_statistics.xml +++ b/spp_mis_demo_v2/data/demo_statistics.xml @@ -29,46 +29,14 @@ 10 - - - - - demo_children_under_18 - children_under_18 - aggregate - count - members - age_years(m.birthdate) < 18 - number - group - - active - 30 - - - - - demo_elderly_60_plus - elderly_60_plus - aggregate - count - members - age_years(m.birthdate) >= 60 - number - group - - active - 40 - - - + - demo_disabled_members - disabled_members + demo_pwd_members + pwd_members aggregate count members - m.disabled != null + m.disability_id != null number group @@ -76,36 +44,6 @@ 50 - - - demo_female_members - female_members - aggregate - count - members - is_female(m.gender_id) - number - group - - active - 45 - - - - - demo_male_members - male_members - aggregate - count - members - is_male(m.gender_id) - number - group - - active - 46 - - demo_total_households @@ -165,81 +103,11 @@ - - - children_under_5 - Children Under 5 - Count of children under 5 years old - - count - children - - 20 - - - - - - - children_under_18 - Children Under 18 - Count of children under 18 years old - - count - children - - 30 - - - - - - - elderly_60_plus - Elderly (60+) - Count of elderly persons aged 60 and above - - count - people - - 40 - - - - - - - female_members - Female Members - Count of female household members - - count - people - - 45 - - - - - - - male_members - Male Members - Count of male household members - - count - people - - 46 - - - - - + - disabled_members - Disabled Members - Count of household members with disabilities + pwd_members + Members with Disability + Count of household members with a recorded disability count people diff --git a/spp_mis_demo_v2/models/indicator_providers.py b/spp_mis_demo_v2/models/indicator_providers.py index e06a6b2d..da0804fb 100644 --- a/spp_mis_demo_v2/models/indicator_providers.py +++ b/spp_mis_demo_v2/models/indicator_providers.py @@ -34,6 +34,14 @@ _logger = logging.getLogger(__name__) +DEBUG_HH_POINTS_LAYER_NAME = "HH Points (Debug)" +DEBUG_HH_POINTS_LAYER_DOMAIN = ( + "[('is_registrant', '=', True), " + "('is_group', '=', True), " + "('coordinates', '!=', False), " + "('active', '=', True)]" +) + # Standard variables from spp_studio to activate (module.xml_id format) STANDARD_VARIABLES = [ # Demographics (computed) @@ -128,6 +136,93 @@ def _activate_variables(env, xml_ids, source_name): return activated, skipped, errors +def _find_debug_layer_view(env): + """Find the most useful GIS view for debug household points.""" + view_model = env["ir.ui.view"] + + # Prefer geofence map when available (best fit for geofence query debugging) + geofence_view = view_model.search( + [ + ("model", "=", "spp.gis.geofence"), + ("type", "=", "gis"), + ], + limit=1, + ) + if geofence_view: + return geofence_view + + # Fallback to the standard area map + return view_model.search( + [ + ("model", "=", "spp.area"), + ("type", "=", "gis"), + ], + limit=1, + ) + + +def _ensure_household_points_debug_layer(env): + """Create/update the HH points debug GIS layer (hidden on startup).""" + coordinates_field = env["ir.model.fields"].search( + [ + ("model", "=", "res.partner"), + ("name", "=", "coordinates"), + ], + limit=1, + ) + if not coordinates_field: + _logger.info( + "[spp.mis.demo] Skipping HH debug layer: res.partner.coordinates not available" + ) + return False + + view = _find_debug_layer_view(env) + if not view: + _logger.info( + "[spp.mis.demo] Skipping HH debug layer: no GIS view found for geofence/area" + ) + return False + + layer_model = env["spp.gis.data.layer"] + layer = layer_model.search( + [ + ("name", "=", DEBUG_HH_POINTS_LAYER_NAME), + ("geo_field_id", "=", coordinates_field.id), + ("view_id", "=", view.id), + ], + limit=1, + ) + + vals = { + "name": DEBUG_HH_POINTS_LAYER_NAME, + "geo_field_id": coordinates_field.id, + "view_id": view.id, + "geo_repr": "basic", + "active_on_startup": False, + "layer_opacity": 0.9, + "begin_color": "#0057B8", + "sequence": 25, + "domain": DEBUG_HH_POINTS_LAYER_DOMAIN, + } + + if layer: + layer.write(vals) + _logger.info( + "[spp.mis.demo] Updated HH debug layer '%s' on view %s", + layer.name, + view.display_name, + ) + return layer + + layer = layer_model.create(vals) + _logger.info( + "[spp.mis.demo] Created HH debug layer '%s' on view %s", + layer.name, + view.display_name, + ) + return layer + + def post_init_hook(env_or_cr, registry=None): """Post-initialization hook for demo module. @@ -162,3 +257,5 @@ def post_init_hook(env_or_cr, registry=None): total_skipped, total_errors, ) + + _ensure_household_points_debug_layer(env) diff --git a/spp_mis_demo_v2/models/mis_demo_generator.py b/spp_mis_demo_v2/models/mis_demo_generator.py index 317c3172..7f93bd99 100644 --- a/spp_mis_demo_v2/models/mis_demo_generator.py +++ b/spp_mis_demo_v2/models/mis_demo_generator.py @@ -36,6 +36,7 @@ class SPPMISDemoGenerator(models.TransientModel): ("training", "Partner Training"), ("testing", "Developer Testing"), ("complete", "Complete Demo"), + ("volume", "Volume (GIS)"), ], string="Demo Mode", default="complete", @@ -44,7 +45,8 @@ class SPPMISDemoGenerator(models.TransientModel): "- Sales: Fixed stories + minimal programs (fast)\n" "- Training: Full programs + Logic Packs (comprehensive)\n" "- Testing: Volume data + random generation (scale testing)\n" - "- Complete: All features enabled", + "- Complete: All features enabled\n" + "- Volume: Large-scale GIS data (7K+ households, geodata)", ) # Logic Studio integration @@ -348,6 +350,30 @@ def _onchange_demo_mode(self): "load_geographic_data": True, "country_code": "phl", }, + "volume": { + "create_demo_programs": True, + "enroll_demo_stories": True, + "create_story_payments": True, + "generate_volume": True, + "volume_enrollments": 5000, + "generate_random_groups": True, + "random_groups_count": 7000, + "create_cycles": True, + "cycles_per_program": 3, + "create_event_data": False, + "create_change_requests": False, + "create_fairness_analysis": False, + "install_logic_packs": False, + "include_test_personas": False, + "generate_grm_demo": False, + "grm_volume_tickets": 0, + "generate_case_demo": False, + "case_volume_count": 0, + "generate_claim169_demo": False, + "generate_credentials_for_stories": True, + "load_geographic_data": True, + "country_code": "phl", + }, } defaults = mode_defaults.get(self.demo_mode, mode_defaults["sales"]) for field_name, value in defaults.items(): @@ -491,9 +517,35 @@ def action_generate(self): _logger.info("Auto-generated %d demo story registrants", stories_created) # Step 0.75: Generate random groups/households + # For large volumes, defer to a background job that commits in chunks if self.generate_random_groups and self.random_groups_count > 0: - _logger.info(f"Generating {self.random_groups_count} random groups...") - self._generate_random_groups(fake, stats) + try: + from odoo.http import request as http_request + + has_ui = bool(http_request and http_request.env) + except Exception: + has_ui = False + if self.random_groups_count > 500 and has_ui and hasattr(self, "with_delay"): + _logger.info( + "Dispatching %d random groups to background job (chunked)...", + self.random_groups_count, + ) + self._dispatch_volume_job(fake) + # The background job handles groups, area assignment, coordinates, + # GIS layers, and report refresh. Skip those steps here. + self.state = "completed" + return self._show_volume_dispatched_notification() + if self.random_groups_count > 500: + # CLI/shell context: run chunked generation inline with commits + _logger.info( + "Generating %d random groups inline (chunked)...", + self.random_groups_count, + ) + locale = fake.locales[0] if fake.locales else "en_US" + self._run_volume_generation_job(locale) + else: + _logger.info("Generating %d random groups...", self.random_groups_count) + self._generate_random_groups(fake, stats) # Step 1: Create demo programs if self.create_demo_programs: @@ -561,7 +613,10 @@ def action_generate(self): _logger.info("Generating GPS coordinates for registrants...") self._generate_coordinates(stats) - # Step 12: Refresh GIS reports so map data is available immediately + # Step 12: Ensure debug GIS layers are present (idempotent) + self._ensure_debug_gis_layers(stats) + + # Step 13: Refresh GIS reports so map data is available immediately self._refresh_gis_reports(stats) # Step 13: Create PRISM API client with known credentials @@ -577,6 +632,123 @@ def action_generate(self): self.state = "draft" raise UserError(_("Error generating demo data: %s") % e) from e + def _dispatch_volume_job(self, fake): + """Dispatch large-volume generation as a background job. + + This runs before programs/enrollments/cycles are created (those run + synchronously in action_generate before this is reached). The job + handles: group creation (in chunks), area assignment, and coordinate + generation, committing after each chunk. + """ + self.with_delay( + priority=5, + description=f"Generate {self.random_groups_count} demo households", + max_retries=0, + )._run_volume_generation_job(fake.locales[0] if fake.locales else "en_US") + + def _run_volume_generation_job(self, faker_locale): + """Background job: create groups in committed chunks, then assign areas. + + Each chunk of CHUNK_SIZE groups is created and committed independently. + If one chunk fails, previous chunks are preserved. + + Args: + faker_locale: Locale string for Faker (e.g., "en_US") + """ + CHUNK_SIZE = 500 + total = self.random_groups_count + fake = Faker(faker_locale) + + _logger.info("[volume-job] Starting: %d groups in chunks of %d", total, CHUNK_SIZE) + + stats = { + "random_groups_created": 0, + "random_individuals_created": 0, + } + + offset = 0 + while offset < total: + chunk_count = min(CHUNK_SIZE, total - offset) + chunk_stats = { + "random_groups_created": 0, + "random_individuals_created": 0, + } + + # Temporarily set random_groups_count for the chunk + original_count = self.random_groups_count + self.random_groups_count = chunk_count + try: + self._generate_random_groups(fake, chunk_stats) + finally: + self.random_groups_count = original_count + + stats["random_groups_created"] += chunk_stats["random_groups_created"] + stats["random_individuals_created"] += chunk_stats["random_individuals_created"] + + # Commit this chunk so it's durable + self.env.cr.commit() # pylint: disable=invalid-commit + + offset += chunk_count + _logger.info( + "[volume-job] Chunk committed: %d/%d groups (%d individuals so far)", + stats["random_groups_created"], + total, + stats["random_individuals_created"], + ) + + _logger.info( + "[volume-job] All groups created: %d groups, %d individuals", + stats["random_groups_created"], + stats["random_individuals_created"], + ) + + # Assign areas and generate coordinates (also in a committed step) + if self.load_geographic_data: + _logger.info("[volume-job] Assigning areas...") + self._assign_registrant_areas(stats) + self.env.cr.commit() # pylint: disable=invalid-commit + + _logger.info("[volume-job] Generating coordinates...") + self._generate_coordinates(stats) + self.env.cr.commit() # pylint: disable=invalid-commit + + # Refresh GIS reports + self._ensure_debug_gis_layers(stats) + self._refresh_gis_reports(stats) + self.env.cr.commit() # pylint: disable=invalid-commit + + _logger.info("[volume-job] Complete: %s", stats) + + def _show_volume_dispatched_notification(self): + """Return notification that volume generation was dispatched to background.""" + return { + "type": "ir.actions.client", + "tag": "display_notification", + "params": { + "title": _("Demo Data Generation Started"), + "message": _( + "Programs and stories created. Volume generation of %(count)d" + " households has been dispatched to a background job." + " Check the job queue for progress.", + count=self.random_groups_count, + ), + "type": "info", + "sticky": True, + }, + } + + def _ensure_debug_gis_layers(self, stats): + """Ensure optional debug GIS layers exist after demo generation.""" + try: + from .indicator_providers import _ensure_household_points_debug_layer + + layer = _ensure_household_points_debug_layer(self.env) + stats["debug_hh_points_layer_ready"] = bool(layer) + except Exception as e: + # Debug layer should never block demo generation. + _logger.warning("Could not ensure debug GIS layers: %s", e) + stats["debug_hh_points_layer_ready"] = False + def _ensure_demo_stories_exist(self, stats): """Check if demo story registrants exist and create them if not.""" try: @@ -920,123 +1092,133 @@ def _create_individual_member(self, member_data, registration_date): return member def _generate_random_groups(self, fake, stats): - """Generate random groups/households with members.""" + """Generate random groups/households with members. + + Uses batch ORM create() for groups and individuals, which is + significantly faster than per-record create() calls. Each batch + of BATCH_SIZE groups is created together, then their individuals + are batch-created and linked via memberships. + """ + BATCH_SIZE = 100 + try: from odoo.addons.spp_demo.models import demo_stories - reserved_names = demo_stories.RESERVED_NAMES + reserved_names = set(demo_stories.RESERVED_NAMES) except ImportError: - reserved_names = [] + reserved_names = set() groups_created = [] head_membership_type = self.env["spp.vocabulary.code"].get_code( "urn:openspp:vocab:group-membership-type", "head" ) + head_type_id = head_membership_type.id if head_membership_type else False - for i in range(self.random_groups_count): - try: - # Generate family with head of household - head_gender = random.choice(["male", "female"]) - head_first = fake.first_name_male() if head_gender == "male" else fake.first_name_female() - head_last = fake.last_name() - head_name = f"{head_first} {head_last}" - - # Skip if name is reserved - if head_name in reserved_names: - continue + # Cache gender IDs upfront (avoids ORM search per individual) + DemoGenerator = self.env["spp.demo.data.generator"].with_context(tracking_disable=True) + gender_id_cache = { + "male": DemoGenerator.lookup_gender_id("Male"), + "female": DemoGenerator.lookup_gender_id("Female"), + } - head_age = random.randint(25, 65) + Partner = self.env["res.partner"].with_context(tracking_disable=True) + today_year = fields.Date.today().year - # Create the group (use family name only to distinguish from individuals) - registration_date = fake.date_between(start_date="-365d", end_date="-30d") - DemoGenerator = self.env["spp.demo.data.generator"] - group = DemoGenerator.create_group_from_params(head_last) - groups_created.append(group) - stats["random_groups_created"] += 1 + # Collect all create_date updates for batch SQL at the end + backdate_updates = [] # list of (date, partner_id) - # Backdate group creation - self.env.cr.execute( - "UPDATE res_partner SET create_date = %s WHERE id = %s", - (registration_date, group.id), - ) - - # Create head of household - head = self._create_random_individual( - fake, - head_name, - head_gender, - head_age, - registration_date, - reserved_names, - ) - if head: - stats["random_individuals_created"] += 1 - self.env["spp.group.membership"].create( - { - "group": group.id, - "individual": head.id, - "membership_type_ids": [Command.link(head_membership_type.id)] - if head_membership_type - else [], - } - ) + # Process groups in batches for batch ORM create() + pending_groups = [] # list of (group_vals, registration_date, member_specs) + # member_specs: list of (individual_vals, is_head) - # Determine number of additional members - num_members = random.randint(self.members_per_group_min - 1, self.members_per_group_max - 1) - - # Sometimes add spouse - if num_members > 0 and random.random() < 0.7: - spouse_gender = "female" if head_gender == "male" else "male" - spouse_first = fake.first_name_female() if spouse_gender == "female" else fake.first_name_male() - spouse_name = f"{spouse_first} {head_last}" - spouse_age = head_age + random.randint(-5, 5) - - if spouse_name not in reserved_names: - spouse = self._create_random_individual( - fake, - spouse_name, - spouse_gender, - spouse_age, - registration_date, - reserved_names, - ) - if spouse: - stats["random_individuals_created"] += 1 - self.env["spp.group.membership"].create( - { - "group": group.id, - "individual": spouse.id, - } - ) - num_members -= 1 - - # Add children or other members - for _j in range(num_members): - member_age = random.randint(3, 22) if random.random() < 0.6 else random.randint(60, 85) - member_gender = random.choice(["male", "female"]) - member_first = fake.first_name_male() if member_gender == "male" else fake.first_name_female() - member_name = f"{member_first} {head_last}" - - if member_name not in reserved_names: - member = self._create_random_individual( - fake, - member_name, - member_gender, - member_age, - registration_date, - reserved_names, - ) - if member: - stats["random_individuals_created"] += 1 - self.env["spp.group.membership"].create( - { - "group": group.id, - "individual": member.id, - } - ) + for _i in range(self.random_groups_count): + head_gender = random.choice(["male", "female"]) + head_first = fake.first_name_male() if head_gender == "male" else fake.first_name_female() + head_last = fake.last_name() + head_name = f"{head_first} {head_last}" - except Exception as e: - _logger.warning("Error creating random group %s: %s", i, e) + if head_name in reserved_names: + continue + + head_age = random.randint(25, 65) + registration_date = fake.date_between(start_date="-365d", end_date="-30d") + + group_vals = { + "name": head_last, + "is_registrant": True, + "is_group": True, + } + + member_specs = [] + + # Head of household + head_vals = self._individual_vals(head_name, head_gender, head_age, gender_id_cache, today_year) + member_specs.append((head_vals, True)) + + # Determine number of additional members + num_members = random.randint(self.members_per_group_min - 1, self.members_per_group_max - 1) + + # Sometimes add spouse + if num_members > 0 and random.random() < 0.7: + spouse_gender = "female" if head_gender == "male" else "male" + spouse_first = fake.first_name_female() if spouse_gender == "female" else fake.first_name_male() + spouse_name = f"{spouse_first} {head_last}" + spouse_age = head_age + random.randint(-5, 5) + if spouse_name not in reserved_names: + spouse_vals = self._individual_vals( + spouse_name, spouse_gender, spouse_age, gender_id_cache, today_year + ) + member_specs.append((spouse_vals, False)) + num_members -= 1 + + # Children / other members + for _j in range(num_members): + age_roll = random.random() + if age_roll < 0.15: + member_age = random.randint(0, 4) + elif age_roll < 0.45: + member_age = random.randint(5, 17) + elif age_roll < 0.85: + member_age = random.randint(18, 59) + else: + member_age = random.randint(60, 85) + member_gender = random.choice(["male", "female"]) + member_first = fake.first_name_male() if member_gender == "male" else fake.first_name_female() + member_name = f"{member_first} {head_last}" + if member_name not in reserved_names: + m_vals = self._individual_vals(member_name, member_gender, member_age, gender_id_cache, today_year) + member_specs.append((m_vals, False)) + + pending_groups.append((group_vals, registration_date, member_specs)) + + # Flush batch + if len(pending_groups) >= BATCH_SIZE: + batch_result = self._flush_group_batch(Partner, pending_groups, head_type_id, backdate_updates) + groups_created.extend(batch_result["groups"]) + stats["random_groups_created"] += batch_result["group_count"] + stats["random_individuals_created"] += batch_result["individual_count"] + pending_groups = [] + + if stats["random_groups_created"] % 500 == 0: + _logger.info( + "Generated %d/%d groups...", + stats["random_groups_created"], + self.random_groups_count, + ) + + # Flush remaining + if pending_groups: + batch_result = self._flush_group_batch(Partner, pending_groups, head_type_id, backdate_updates) + groups_created.extend(batch_result["groups"]) + stats["random_groups_created"] += batch_result["group_count"] + stats["random_individuals_created"] += batch_result["individual_count"] + + # Batch-update create_dates via raw SQL + if backdate_updates: + self.env.cr.executemany( + "UPDATE res_partner SET create_date = %s WHERE id = %s", + backdate_updates, + ) _logger.info( "Created %s random groups with %s individuals", @@ -1045,6 +1227,107 @@ def _generate_random_groups(self, fake, stats): ) return groups_created + def _individual_vals(self, name, gender, age, gender_id_cache, today_year): + """Build a res.partner vals dict for an individual (no ORM calls).""" + name_parts = name.split(" ", 1) + given_name = name_parts[0] + family_name = name_parts[1] if len(name_parts) > 1 else "" + + name_formatted = [ + f"{family_name}," if family_name and given_name else family_name or "", + given_name, + ] + computed_name = " ".join(filter(None, name_formatted)).upper() + + birth_year = today_year - age + birth_month = random.randint(1, 12) + birth_day = random.randint(1, 28) + today = fields.Date.today() + birthdate = datetime.date(birth_year, birth_month, birth_day) + # Ensure birthdate is not in the future (matters for age 0-1) + if birthdate > today: + birthdate = today + + vals = { + "name": computed_name, + "family_name": family_name, + "given_name": given_name, + "is_registrant": True, + "is_group": False, + "gender_id": gender_id_cache.get(gender, False), + "birthdate": birthdate, + } + + # Income for adults + if age >= 18: + income_tier = random.random() + if income_tier < 0.70: + vals["income"] = float(random.randint(500, 2000)) + elif income_tier < 0.95: + vals["income"] = float(random.randint(2000, 4000)) + else: + vals["income"] = float(random.randint(4000, 8000)) + + return vals + + def _flush_group_batch(self, Partner, pending_groups, head_type_id, backdate_updates): + """Batch-create a set of groups with their individuals and memberships. + + Args: + Partner: res.partner model (with tracking_disable context) + pending_groups: list of (group_vals, registration_date, member_specs) + head_type_id: ID of the "head" membership type vocabulary code + backdate_updates: list to append (date, partner_id) tuples to + + Returns: + dict with groups (recordset), group_count, individual_count + """ + # 1. Batch-create all groups + group_vals_list = [g[0] for g in pending_groups] + groups = Partner.create(group_vals_list) + + # 2. Batch-create all individuals across all groups + all_individual_vals = [] + # Track which individuals belong to which group and head status + # Each entry: (group_index_in_batch, is_head) + individual_mapping = [] + + for batch_idx, (_gv, _reg_date, member_specs) in enumerate(pending_groups): + for indiv_vals, is_head in member_specs: + all_individual_vals.append(indiv_vals) + individual_mapping.append((batch_idx, is_head)) + + individuals = Partner.create(all_individual_vals) if all_individual_vals else Partner.browse() + + # 3. Build membership records and backdate updates + membership_vals = [] + for indiv_idx, individual in enumerate(individuals): + batch_idx, is_head = individual_mapping[indiv_idx] + group = groups[batch_idx] + reg_date = pending_groups[batch_idx][1] + + backdate_updates.append((reg_date, individual.id)) + + m_vals = {"group": group.id, "individual": individual.id} + if is_head and head_type_id: + m_vals["membership_type_ids"] = [Command.link(head_type_id)] + membership_vals.append(m_vals) + + # Backdate groups too + for batch_idx, group in enumerate(groups): + reg_date = pending_groups[batch_idx][1] + backdate_updates.append((reg_date, group.id)) + + # 4. Batch-create all memberships + if membership_vals: + self.env["spp.group.membership"].with_context(tracking_disable=True).create(membership_vals) + + return { + "groups": groups, + "group_count": len(groups), + "individual_count": len(individuals), + } + def _create_random_individual(self, fake, name, gender, age, registration_date, reserved_names): """Create a random individual registrant with realistic demographic data. @@ -1075,15 +1358,9 @@ def _create_random_individual(self, fake, name, gender, age, registration_date, # Disability status (~5% of population for realistic demo data) # Use SPPDemoDataGenerator utility for consistent individual creation - DemoGenerator = self.env["spp.demo.data.generator"] + DemoGenerator = self.env["spp.demo.data.generator"].with_context(tracking_disable=True) individual = DemoGenerator.create_individual_from_params(name, gender, age, extra_vals) - # Backdate creation - self.env.cr.execute( - "UPDATE res_partner SET create_date = %s WHERE id = %s", - (registration_date, individual.id), - ) - return individual def _create_demo_programs(self, stats): @@ -3727,6 +4004,7 @@ def _load_geographic_data(self, stats): Uses the DemoAreaLoader from spp_demo to load country-specific area hierarchies with GIS polygon data for spatial queries. + If spp_demo_phl_luzon is installed, also loads full Luzon data. Args: stats: Statistics dictionary to update @@ -3742,17 +4020,30 @@ def _load_geographic_data(self, stats): self.country_code, result.get("shapes_loaded", 0), ) - return result except Exception as e: _logger.warning("[spp.mis.demo] Failed to load geographic data: %s", e) return None + # Load extended Luzon areas if the module is installed + if "spp.demo.luzon.area.loader" in self.env: + try: + luzon_result = self.env["spp.demo.luzon.area.loader"].load_luzon_areas(load_shapes=True) + _logger.info( + "[spp.mis.demo] Loaded Luzon geodata: %d areas, %d shapes", + luzon_result.get("areas_created", 0), + luzon_result.get("shapes_loaded", 0), + ) + except Exception as e: + _logger.warning("[spp.mis.demo] Failed to load Luzon geodata: %s", e) + + return result + def _assign_registrant_areas(self, stats): """Assign geographic areas to registrants. Strategy: - - Get all municipalities (level 3 areas) from the loaded country - - For each group, assign a random municipality to area_id + - Find the lowest (most specific) area level that has geo_polygon data + - For each group, assign one of those areas to area_id - Individual members inherit area_id from their group Args: @@ -3761,15 +4052,31 @@ def _assign_registrant_areas(self, stats): Area = self.env["spp.area"] Partner = self.env["res.partner"] - # Get all level 3 areas (municipalities) that have geo_polygon data - municipalities = Area.search([("area_level", "=", 3), ("geo_polygon", "!=", False)]) + # Find the lowest (most specific) area level that has geo_polygon data. + # This works for any hierarchy depth: 4-level (curated) or 3-level (Luzon). + # Flush to ensure computed area_level values are written to DB before raw SQL. + self.env.flush_all() + self.env.cr.execute("SELECT MAX(area_level) FROM spp_area WHERE geo_polygon IS NOT NULL") + result = self.env.cr.fetchone() + target_level = result[0] if result and result[0] is not None else None + + if target_level is None: + _logger.warning("[spp.mis.demo] No areas with GIS data found, skipping area assignment") + stats["areas_assigned"] = 0 + return + + municipalities = Area.search([("area_level", "=", target_level), ("geo_polygon", "!=", False)]) if not municipalities: - _logger.warning("[spp.mis.demo] No municipalities with GIS data found, skipping area assignment") + _logger.warning("[spp.mis.demo] No areas with GIS data found at level %s", target_level) stats["areas_assigned"] = 0 return - _logger.info("[spp.mis.demo] Found %d municipalities with GIS data", len(municipalities)) + _logger.info( + "[spp.mis.demo] Found %d areas with GIS data at level %d", + len(municipalities), + target_level, + ) # Get all groups (households) groups = Partner.search([("is_group", "=", True), ("is_registrant", "=", True)]) @@ -3779,20 +4086,58 @@ def _assign_registrant_areas(self, stats): stats["areas_assigned"] = 0 return - # Assign random municipality to each group - groups_assigned = 0 - for group in groups: - municipality = random.choice(municipalities) - group.write({"area_id": municipality.id}) - groups_assigned += 1 + # Check if population weights are available (spp_demo_phl_luzon installed) + weights_by_area_id = None + if "spp.demo.population.weights" in self.env: + try: + weights_by_area_id = self.env["spp.demo.population.weights"].get_weights_by_area_id() + except Exception as e: + _logger.warning("[spp.mis.demo] Could not load population weights: %s", e) - # Members inherit area from group - members = Partner.search([("group_membership_ids.group", "=", group.id)]) - if members: - members.write({"area_id": municipality.id}) + # Build weighted selection if population data available + muni_ids = municipalities.ids + if weights_by_area_id: + weights = [weights_by_area_id.get(mid, 1) for mid in muni_ids] + _logger.info("[spp.mis.demo] Using population-weighted area assignment") + else: + weights = None - stats["areas_assigned"] = groups_assigned - _logger.info("[spp.mis.demo] Assigned areas to %d groups", groups_assigned) + # Pre-assign areas for all groups at once + if weights: + assigned_ids = random.choices(muni_ids, weights=weights, k=len(groups)) + else: + assigned_ids = [random.choice(muni_ids) for _ in range(len(groups))] + + # Batch-assign areas to groups via raw SQL (avoids N+1 ORM writes) + group_area_pairs = list(zip(groups.ids, assigned_ids, strict=False)) + if group_area_pairs: + self.env.cr.executemany( + "UPDATE res_partner SET area_id = %s WHERE id = %s", + [(area_id, group_id) for group_id, area_id in group_area_pairs], + ) + _logger.info("[spp.mis.demo] Batch-assigned areas to %d groups", len(group_area_pairs)) + + # Propagate area_id to individual members via a single UPDATE + JOIN + self.env.cr.execute( + """ + UPDATE res_partner p + SET area_id = g.area_id + FROM spp_group_membership gm + JOIN res_partner g ON g.id = gm."group" + WHERE gm.individual = p.id + AND gm.is_ended = false + AND g.is_group = true + AND g.area_id IS NOT NULL + """ + ) + members_updated = self.env.cr.rowcount + _logger.info("[spp.mis.demo] Propagated area_id to %d individual members", members_updated) + + # Invalidate ORM cache after raw SQL updates + self.env.invalidate_all() + + stats["areas_assigned"] = len(group_area_pairs) + _logger.info("[spp.mis.demo] Assigned areas to %d groups", len(group_area_pairs)) def _generate_coordinates(self, stats): """Generate GPS coordinates for registrants. @@ -3801,7 +4146,7 @@ def _generate_coordinates(self, stats): generates a random point within the area polygon and sets the coordinates field (if spp_registrant_gis is installed). - Uses shapely to generate random points within polygons. + Processes in chunks to avoid excessive memory usage at scale (50K+). Args: stats: Statistics dictionary to update @@ -3822,76 +4167,92 @@ def _generate_coordinates(self, stats): Partner = self.env["res.partner"] Area = self.env["spp.area"] - # Get all registrants with an area_id - registrants = Partner.search( - [ - ("is_registrant", "=", True), - ("area_id", "!=", False), - ] - ) + # Count total registrants with area_id + total_count = Partner.search_count([("is_registrant", "=", True), ("area_id", "!=", False)]) - if not registrants: + if not total_count: _logger.warning("[spp.mis.demo] No registrants with areas found") stats["coordinates_generated"] = 0 return - _logger.info("[spp.mis.demo] Generating coordinates for %d registrants", len(registrants)) + _logger.info("[spp.mis.demo] Generating coordinates for %d registrants", total_count) + # Cache polygon data by area_id to avoid repeated reads + polygon_cache = {} coordinates_generated = 0 + CHUNK_SIZE = 2000 + + # Process registrants in chunks to limit memory usage + offset = 0 + while offset < total_count: + registrants = Partner.search( + [("is_registrant", "=", True), ("area_id", "!=", False)], + limit=CHUNK_SIZE, + offset=offset, + ) + if not registrants: + break + + # Group this chunk by area + registrants_by_area = {} + for registrant in registrants: + area_id = registrant.area_id.id + if area_id not in registrants_by_area: + registrants_by_area[area_id] = [] + registrants_by_area[area_id].append(registrant) + + # Batch collect coordinate writes + write_batch = [] # list of (registrant_id, wkt_point) + + for area_id, area_registrants in registrants_by_area.items(): + # Get or cache polygon + if area_id not in polygon_cache: + area = Area.browse(area_id) + polygon_cache[area_id] = area.geo_polygon if area.geo_polygon else None + + polygon = polygon_cache[area_id] + if polygon is None: + continue - # Group registrants by area to minimize queries - registrants_by_area = {} - for registrant in registrants: - area_id = registrant.area_id.id - if area_id not in registrants_by_area: - registrants_by_area[area_id] = [] - registrants_by_area[area_id].append(registrant) + try: + minx, miny, maxx, maxy = polygon.bounds + + for registrant in area_registrants: + max_attempts = 10 + for _attempt in range(max_attempts): + point_x = random.uniform(minx, maxx) + point_y = random.uniform(miny, maxy) + point = shape({"type": "Point", "coordinates": [point_x, point_y]}) + + if polygon.contains(point): + write_batch.append((registrant.id, f"POINT({point_x} {point_y})")) + break + else: + centroid = polygon.centroid + write_batch.append((registrant.id, f"POINT({centroid.x} {centroid.y})")) - # Process each area - for area_id, area_registrants in registrants_by_area.items(): - area = Area.browse(area_id) + except Exception as e: + _logger.warning("[spp.mis.demo] Failed to generate coordinates for area %s: %s", area_id, e) + continue - # Skip if no polygon data - if not area.geo_polygon: - continue + # Batch write coordinates via raw SQL (much faster than ORM one-by-one) + if write_batch: + self.env.cr.executemany( + "UPDATE res_partner SET coordinates = ST_GeomFromText(%s, 4326) WHERE id = %s", + [(wkt_point, partner_id) for partner_id, wkt_point in write_batch], + ) + coordinates_generated += len(write_batch) - try: - # The ORM returns geo_polygon as a Shapely geometry object - polygon = area.geo_polygon - - # Generate random points for all registrants in this area - minx, miny, maxx, maxy = polygon.bounds - - for registrant in area_registrants: - # Generate random point within bounding box, retry if outside polygon - max_attempts = 10 - for _attempt in range(max_attempts): - point_x = random.uniform(minx, maxx) - point_y = random.uniform(miny, maxy) - point = shape({"type": "Point", "coordinates": [point_x, point_y]}) - - if polygon.contains(point): - # Set the coordinates field (GeoPointField expects WKB) - registrant.write( - { - "coordinates": f"POINT({point_x} {point_y})", - } - ) - coordinates_generated += 1 - break - else: - # If we couldn't find a point inside after max_attempts, use centroid - centroid = polygon.centroid - registrant.write( - { - "coordinates": f"POINT({centroid.x} {centroid.y})", - } - ) - coordinates_generated += 1 + offset += CHUNK_SIZE + _logger.info( + "[spp.mis.demo] Coordinate progress: %d / %d", + coordinates_generated, + total_count, + ) - except Exception as e: - _logger.warning("[spp.mis.demo] Failed to generate coordinates for area %s: %s", area.id, e) - continue + # Invalidate ORM cache after raw SQL coordinate updates + if coordinates_generated: + self.env.invalidate_all() stats["coordinates_generated"] = coordinates_generated _logger.info("[spp.mis.demo] Generated coordinates for %d registrants", coordinates_generated) diff --git a/spp_mis_demo_v2/tests/__init__.py b/spp_mis_demo_v2/tests/__init__.py index 44ca7fb5..ae53b18d 100644 --- a/spp_mis_demo_v2/tests/__init__.py +++ b/spp_mis_demo_v2/tests/__init__.py @@ -6,6 +6,7 @@ from . import test_claim169_demo from . import test_demo_programs from . import test_formula_configuration +from . import test_gis_debug_layer from . import test_mis_demo_generator from . import test_registry_variables from . import test_demo_statistics diff --git a/spp_mis_demo_v2/tests/test_demo_statistics.py b/spp_mis_demo_v2/tests/test_demo_statistics.py index 5d428879..f047cd8c 100644 --- a/spp_mis_demo_v2/tests/test_demo_statistics.py +++ b/spp_mis_demo_v2/tests/test_demo_statistics.py @@ -23,17 +23,12 @@ def setUpClass(cls): cls.required_stats = [ "total_households", "total_members", - "children_under_5", - "children_under_18", - "elderly_60_plus", - "female_members", - "male_members", - "disabled_members", + "pwd_members", "enrolled_any_program", ] def test_all_demo_statistics_exist(self): - """Verify all 9 demo statistics are in the database.""" + """Verify all demo statistics are in the database.""" for stat_name in self.required_stats: with self.subTest(statistic=stat_name): stat = self.stat_model.search([("name", "=", stat_name)], limit=1) @@ -72,7 +67,7 @@ def test_statistics_published_to_gis(self): def test_statistics_have_valid_cel_accessors(self): """Verify statistics have variables with valid CEL accessors for aggregation.""" # Test a subset of statistics - test_stats = ["total_households", "total_members", "children_under_5"] + test_stats = ["total_households", "total_members"] for stat_name in test_stats: with self.subTest(statistic=stat_name): @@ -96,13 +91,8 @@ def test_statistics_categories_exist(self): "demographics": [ "total_households", "total_members", - "children_under_5", - "children_under_18", - "elderly_60_plus", - "female_members", - "male_members", ], - "vulnerability": ["disabled_members"], + "vulnerability": ["pwd_members"], "programs": ["enrolled_any_program"], } diff --git a/spp_mis_demo_v2/tests/test_gis_debug_layer.py b/spp_mis_demo_v2/tests/test_gis_debug_layer.py new file mode 100644 index 00000000..6d04ffba --- /dev/null +++ b/spp_mis_demo_v2/tests/test_gis_debug_layer.py @@ -0,0 +1,51 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for MIS demo household-points debug GIS layer.""" + +from odoo.tests import TransactionCase, tagged + +from odoo.addons.spp_mis_demo_v2.models.indicator_providers import ( + DEBUG_HH_POINTS_LAYER_DOMAIN, + DEBUG_HH_POINTS_LAYER_NAME, + _ensure_household_points_debug_layer, +) + + +@tagged("post_install", "-at_install") +class TestGISDebugLayer(TransactionCase): + """Validate HH points debug layer creation and defaults.""" + + def test_household_points_debug_layer_exists_and_disabled_on_startup(self): + """Post-init should provide HH points debug layer in a safe default state.""" + layer = self.env["spp.gis.data.layer"].search( + [("name", "=", DEBUG_HH_POINTS_LAYER_NAME)], + limit=1, + ) + self.assertTrue(layer, "Expected HH points debug layer to be created") + self.assertEqual(layer.geo_field_id.model, "res.partner") + self.assertEqual(layer.geo_field_id.name, "coordinates") + self.assertFalse(layer.active_on_startup, "Debug layer must be disabled by default") + self.assertEqual(layer.domain, DEBUG_HH_POINTS_LAYER_DOMAIN) + + def test_household_points_debug_layer_setup_is_idempotent(self): + """Running helper repeatedly should update existing layer, not duplicate it.""" + layer_model = self.env["spp.gis.data.layer"] + before_count = layer_model.search_count([("name", "=", DEBUG_HH_POINTS_LAYER_NAME)]) + + _ensure_household_points_debug_layer(self.env) + + after_count = layer_model.search_count([("name", "=", DEBUG_HH_POINTS_LAYER_NAME)]) + self.assertEqual(before_count, after_count) + + def test_generator_reensures_household_points_debug_layer(self): + """Generator flow should re-ensure debug layer for --generate workflows.""" + layer_model = self.env["spp.gis.data.layer"] + layer_model.search([("name", "=", DEBUG_HH_POINTS_LAYER_NAME)]).unlink() + + generator = self.env["spp.mis.demo.generator"].create({"name": "GIS Debug Layer Ensure"}) + stats = {} + generator._ensure_debug_gis_layers(stats) + + layer = layer_model.search([("name", "=", DEBUG_HH_POINTS_LAYER_NAME)], limit=1) + self.assertTrue(layer) + self.assertFalse(layer.active_on_startup) + self.assertTrue(stats.get("debug_hh_points_layer_ready")) diff --git a/spp_program_geofence/DESCRIPTION.md b/spp_program_geofence/DESCRIPTION.md new file mode 100644 index 00000000..169f26a8 --- /dev/null +++ b/spp_program_geofence/DESCRIPTION.md @@ -0,0 +1,27 @@ +# OpenSPP Program Geofence + +Adds geofence-based geographic targeting to OpenSPP programs. + +## Features + +- **Program Geofences**: Define geographic boundaries (geofences) on programs to scope their + geographic coverage. Geofences are configured on the program's Overview tab. + +- **Geofence Eligibility Manager**: A pluggable eligibility manager that determines registrant + eligibility based on their location relative to the program's geofences. Works alongside other + eligibility managers using AND logic. + +- **Hybrid Two-Tier Targeting**: + - **Tier 1 (GPS)**: Matches registrants whose GPS coordinates fall within the geofence polygons. + - **Tier 2 (Area Fallback)**: For registrants without GPS coordinates, matches those whose + administrative area intersects the geofence. This fallback can be disabled per manager. + +- **Preview**: Preview how many registrants match the current geofences before importing. + +## Known Limitations + +- Groups (households) typically lack GPS coordinates. Enable the area fallback to match them by + administrative area. +- Changing geofences after enrollment does not retroactively affect existing memberships. + Use cycle eligibility verification for ongoing checks. +- Archived geofences are excluded from spatial queries. diff --git a/spp_program_geofence/__init__.py b/spp_program_geofence/__init__.py new file mode 100644 index 00000000..0450a0c8 --- /dev/null +++ b/spp_program_geofence/__init__.py @@ -0,0 +1,3 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from . import models +from . import wizard diff --git a/spp_program_geofence/__manifest__.py b/spp_program_geofence/__manifest__.py new file mode 100644 index 00000000..f678ea81 --- /dev/null +++ b/spp_program_geofence/__manifest__.py @@ -0,0 +1,28 @@ +# pylint: disable=pointless-statement +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +{ + "name": "OpenSPP Program Geofence", + "summary": "Geofence-based geographic targeting for programs using spatial queries.", + "category": "OpenSPP", + "version": "19.0.1.0.0", + "author": "OpenSPP.org", + "website": "https://github.com/OpenSPP/OpenSPP2", + "license": "LGPL-3", + "development_status": "Alpha", + "depends": [ + "spp_programs", + "spp_gis", + "spp_registrant_gis", + "spp_area", + ], + "data": [ + "security/ir.model.access.csv", + "views/geofence_view.xml", + "views/eligibility_manager_view.xml", + "views/program_view.xml", + "wizard/create_program_wizard.xml", + ], + "application": False, + "installable": True, + "auto_install": False, +} diff --git a/spp_program_geofence/models/__init__.py b/spp_program_geofence/models/__init__.py new file mode 100644 index 00000000..39fe0f86 --- /dev/null +++ b/spp_program_geofence/models/__init__.py @@ -0,0 +1,3 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from . import eligibility_manager +from . import program diff --git a/spp_program_geofence/models/eligibility_manager.py b/spp_program_geofence/models/eligibility_manager.py new file mode 100644 index 00000000..3b12b1df --- /dev/null +++ b/spp_program_geofence/models/eligibility_manager.py @@ -0,0 +1,251 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +import json +import logging + +from odoo import Command, _, api, fields, models + +try: + from odoo.addons.queue_job.delay import group +except ImportError: + group = None + +try: + from shapely.geometry import mapping + from shapely.ops import unary_union +except ImportError: + mapping = None + unary_union = None + +_logger = logging.getLogger(__name__) + + +class GeofenceEligibilityManager(models.Model): + _inherit = "spp.eligibility.manager" + + @api.model + def _selection_manager_ref_id(self): + selection = super()._selection_manager_ref_id() + new_manager = ( + "spp.program.membership.manager.geofence", + "Geofence Eligibility", + ) + if new_manager not in selection: + selection.append(new_manager) + return selection + + +class GeofenceMembershipManager(models.Model): + _name = "spp.program.membership.manager.geofence" + _inherit = ["spp.program.membership.manager", "spp.manager.source.mixin"] + _description = "Geofence Eligibility Manager" + ASYNC_IMPORT_THRESHOLD = 1000 + IMPORT_CHUNK_SIZE = 10000 + + include_area_fallback = fields.Boolean( + default=True, + string="Include Area Fallback", + help="When enabled, registrants whose administrative area intersects the geofence " + "are included even if their coordinates are not set.", + ) + fallback_area_type_id = fields.Many2one( + "spp.area.type", + string="Fallback Area Type", + help="When set, only areas of this type are considered for the area fallback. " + "Use this to restrict matching to a specific administrative level (e.g. District) " + "and avoid overly broad matches from large provinces or regions.", + ) + program_geofence_ids = fields.Many2many( + "spp.gis.geofence", + related="program_id.geofence_ids", + readonly=True, + string="Program Geofences", + ) + preview_count = fields.Integer( + string="Preview Count", + readonly=True, + ) + preview_error = fields.Char( + string="Preview Error", + readonly=True, + ) + + def _get_combined_geometry(self): + """Return the union of all geofence geometries for this manager's program. + + Returns None if there are no geofences or if shapely is unavailable. + """ + self.ensure_one() + if unary_union is None: + _logger.warning("spp_program_geofence: shapely is not available; cannot compute combined geometry") + return None + + geofences = self.program_id.geofence_ids + if not geofences: + return None + + shapes = [gf.geometry for gf in geofences if gf.geometry] + if not shapes: + return None + + return unary_union(shapes) + + def _prepare_eligible_domain(self, membership=None): + """Build the base Odoo search domain for eligible registrants. + + Args: + membership: Optional recordset of spp.program.membership records. + When provided, results are restricted to partners in that set. + + Returns: + list: Odoo domain expression. + """ + domain = [] + if membership is not None: + ids = membership.partner_id.ids + domain += [("id", "in", ids)] + + # Exclude disabled registrants + domain += [("disabled", "=", False)] + + if self.program_id.target_type == "group": + domain += [("is_group", "=", True), ("is_registrant", "=", True)] + elif self.program_id.target_type == "individual": + domain += [("is_group", "=", False), ("is_registrant", "=", True)] + + return domain + + def _find_eligible_registrants(self, membership=None): + """Find all registrants that fall within the program's geofences. + + Uses a two-tier approach: + - Tier 1: registrants whose coordinates fall within the combined geofence geometry. + - Tier 2 (when include_area_fallback is True): registrants whose administrative + area intersects the combined geofence geometry and were not already found in tier 1. + + Args: + membership: Optional recordset restricting the search population. + + Returns: + res.partner recordset of eligible registrants. + """ + self.ensure_one() + geofences = self.program_id.geofence_ids + if not geofences: + return self.env["res.partner"].browse() + + combined = self._get_combined_geometry() + if combined is None: + return self.env["res.partner"].browse() + + combined_geojson = json.dumps(mapping(combined)) + base_domain = self._prepare_eligible_domain(membership) + + # Tier 1: registrants with coordinates inside the geofence + tier1_domain = base_domain + [("coordinates", "gis_intersects", combined_geojson)] + tier1 = self.env["res.partner"].search(tier1_domain) + + # Tier 2: registrants whose area intersects the geofence + if self.include_area_fallback: + area_domain = [("geo_polygon", "gis_intersects", combined_geojson)] + if self.fallback_area_type_id: + area_domain += [("area_type_id", "=", self.fallback_area_type_id.id)] + matching_areas = self.env["spp.area"].search(area_domain) + if matching_areas: + tier2_domain = base_domain + [ + ("area_id", "in", matching_areas.ids), + ("id", "not in", tier1.ids), + ] + tier2 = self.env["res.partner"].search(tier2_domain) + return tier1 | tier2 + + return tier1 + + def enroll_eligible_registrants(self, program_memberships): + self.ensure_one() + eligible = self._find_eligible_registrants(program_memberships) + return self.env["spp.program.membership"].search( + [ + ("partner_id", "in", eligible.ids), + ("program_id", "=", self.program_id.id), + ] + ) + + def verify_cycle_eligibility(self, cycle, membership): + self.ensure_one() + eligible = self._find_eligible_registrants(membership) + return self.env["spp.cycle.membership"].search( + [ + ("partner_id", "in", eligible.ids), + ("cycle_id", "=", cycle.id), + ] + ) + + def import_eligible_registrants(self, state="draft"): + self.ensure_one() + new_beneficiaries = self._find_eligible_registrants() + + # Exclude already-enrolled beneficiaries + existing_partner_ids = set(self.program_id.program_membership_ids.partner_id.ids) + new_beneficiaries = new_beneficiaries.filtered(lambda r: r.id not in existing_partner_ids) + + ben_count = len(new_beneficiaries) + if ben_count < self.ASYNC_IMPORT_THRESHOLD: + self._import_registrants(new_beneficiaries, state=state, do_count=True) + else: + self._import_registrants_async(new_beneficiaries, state=state) + return ben_count + + def _import_registrants_async(self, new_beneficiaries, state="draft"): + self.ensure_one() + program = self.program_id + program.message_post(body=f"Import of {len(new_beneficiaries)} beneficiaries started.") + program.write({"is_locked": True, "locked_reason": "Importing beneficiaries"}) + + jobs = [] + for i in range(0, len(new_beneficiaries), self.IMPORT_CHUNK_SIZE): + jobs.append( + self.delayable(channel="root_program.eligibility_manager")._import_registrants( + new_beneficiaries[i : i + self.IMPORT_CHUNK_SIZE], state + ) + ) + main_job = group(*jobs) + main_job.on_done(self.delayable(channel="root_program.eligibility_manager").mark_import_as_done()) + main_job.delay() + + def mark_import_as_done(self): + self.ensure_one() + self.program_id._compute_eligible_beneficiary_count() + self.program_id._compute_beneficiary_count() + self.program_id.is_locked = False + self.program_id.locked_reason = None + self.program_id.message_post(body=_("Import finished.")) + + def _import_registrants(self, new_beneficiaries, state="draft", do_count=False): + _logger.info("spp_program_geofence: Importing %s beneficiaries", len(new_beneficiaries)) + beneficiaries_val = [Command.create({"partner_id": b.id, "state": state}) for b in new_beneficiaries] + self.program_id.update({"program_membership_ids": beneficiaries_val}) + + if do_count: + self.program_id._compute_eligible_beneficiary_count() + self.program_id._compute_beneficiary_count() + + def action_preview_eligible(self): + self.ensure_one() + try: + eligible = self._find_eligible_registrants() + self.preview_count = len(eligible) + self.preview_error = False + except Exception: + _logger.exception("Geofence eligibility preview failed for manager %s", self.id) + self.preview_count = 0 + self.preview_error = "Preview failed. Check the server logs for details." + return { + "type": "ir.actions.client", + "tag": "display_notification", + "params": { + "title": "Preview Complete", + "message": f"{self.preview_count} registrants match the current geofences.", + "sticky": False, + "type": "success" if not self.preview_error else "warning", + }, + } diff --git a/spp_program_geofence/models/program.py b/spp_program_geofence/models/program.py new file mode 100644 index 00000000..c232f6fb --- /dev/null +++ b/spp_program_geofence/models/program.py @@ -0,0 +1,35 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from odoo import api, fields, models + + +class SPPProgram(models.Model): + _inherit = "spp.program" + + geofence_ids = fields.Many2many( + "spp.gis.geofence", + "spp_program_geofence_rel", + "program_id", + "geofence_id", + string="Geofences", + help="Geographic boundaries that define this program's scope.", + ) + geofence_count = fields.Integer( + compute="_compute_geofence_count", + string="Geofence Count", + ) + + @api.depends("geofence_ids") + def _compute_geofence_count(self): + for rec in self: + rec.geofence_count = len(rec.geofence_ids) + + def action_open_geofences(self): + self.ensure_one() + return { + "type": "ir.actions.act_window", + "name": "Program Geofences", + "res_model": "spp.gis.geofence", + "view_mode": "list,form", + "domain": [("id", "in", self.geofence_ids.ids)], + "context": dict(self.env.context), + } diff --git a/spp_program_geofence/security/ir.model.access.csv b/spp_program_geofence/security/ir.model.access.csv new file mode 100644 index 00000000..a14632c9 --- /dev/null +++ b/spp_program_geofence/security/ir.model.access.csv @@ -0,0 +1,9 @@ +id,name,model_id:id,group_id:id,perm_read,perm_write,perm_create,perm_unlink +access_spp_program_membership_manager_geofence_admin,Geofence Eligibility Admin,model_spp_program_membership_manager_geofence,spp_security.group_spp_admin,1,1,1,1 +access_spp_program_membership_manager_geofence_manager,Geofence Eligibility Manager,model_spp_program_membership_manager_geofence,spp_programs.group_programs_manager,1,1,1,0 +access_spp_program_membership_manager_geofence_officer,Geofence Eligibility Officer,model_spp_program_membership_manager_geofence,spp_programs.group_programs_officer,1,1,1,0 +access_spp_program_membership_manager_geofence_viewer,Geofence Eligibility Viewer,model_spp_program_membership_manager_geofence,spp_programs.group_programs_viewer,1,0,0,0 +access_spp_gis_geofence_programs_viewer,spp.gis.geofence programs viewer,spp_gis.model_spp_gis_geofence,spp_programs.group_programs_viewer,1,0,0,0 +access_spp_gis_geofence_programs_validator,spp.gis.geofence programs validator,spp_gis.model_spp_gis_geofence,spp_programs.group_programs_validator,1,0,0,0 +access_spp_gis_geofence_tag_programs_viewer,spp.gis.geofence.tag programs viewer,spp_gis.model_spp_gis_geofence_tag,spp_programs.group_programs_viewer,1,0,0,0 +access_spp_gis_geofence_tag_programs_validator,spp.gis.geofence.tag programs validator,spp_gis.model_spp_gis_geofence_tag,spp_programs.group_programs_validator,1,0,0,0 diff --git a/spp_program_geofence/static/description/index.html b/spp_program_geofence/static/description/index.html new file mode 100644 index 00000000..1b59204c --- /dev/null +++ b/spp_program_geofence/static/description/index.html @@ -0,0 +1,13 @@ +
+
+

OpenSPP Program Geofence

+

Geofence-based geographic targeting for programs

+
+

+ This module adds geofence-based geographic targeting to OpenSPP programs. + Programs can define geofences (geographic boundaries) and use them to + automatically identify and enroll eligible registrants based on their location. +

+
+
+
diff --git a/spp_program_geofence/tests/__init__.py b/spp_program_geofence/tests/__init__.py new file mode 100644 index 00000000..451dad01 --- /dev/null +++ b/spp_program_geofence/tests/__init__.py @@ -0,0 +1,2 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from . import test_geofence_eligibility diff --git a/spp_program_geofence/tests/test_geofence_eligibility.py b/spp_program_geofence/tests/test_geofence_eligibility.py new file mode 100644 index 00000000..2aea6b92 --- /dev/null +++ b/spp_program_geofence/tests/test_geofence_eligibility.py @@ -0,0 +1,528 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +"""Tests for geofence-based eligibility manager.""" + +import json + +from odoo import Command, fields +from odoo.tests import TransactionCase, tagged + + +@tagged("post_install", "-at_install") +class TestGeofenceEligibility(TransactionCase): + """Test the geofence eligibility manager with spatial queries.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + cls.env = cls.env( + context=dict( + cls.env.context, + test_queue_job_no_delay=True, + tracking_disable=True, + ) + ) + + # -- Geofence: a box from (100, 0) to (101, 1) -- + cls.geofence_geojson = json.dumps( + { + "type": "Polygon", + "coordinates": [[[100, 0], [101, 0], [101, 1], [100, 1], [100, 0]]], + } + ) + cls.geofence = cls.env["spp.gis.geofence"].create( + { + "name": "Test Geofence", + "geometry": cls.geofence_geojson, + "geofence_type": "custom", + } + ) + + # -- Second geofence: a box from (110, 10) to (111, 11) -- + cls.geofence2_geojson = json.dumps( + { + "type": "Polygon", + "coordinates": [[[110, 10], [111, 10], [111, 11], [110, 11], [110, 10]]], + } + ) + cls.geofence2 = cls.env["spp.gis.geofence"].create( + { + "name": "Test Geofence 2", + "geometry": cls.geofence2_geojson, + "geofence_type": "custom", + } + ) + + # -- Area types -- + cls.area_type = cls.env["spp.area.type"].create({"name": "Test District"}) + cls.area_type_province = cls.env["spp.area.type"].create({"name": "Test Province"}) + + # -- Area that overlaps the first geofence -- + cls.area_inside = cls.env["spp.area"].create( + { + "draft_name": "Area Inside", + "code": "AREA_IN", + "area_type_id": cls.area_type.id, + "geo_polygon": json.dumps( + { + "type": "Polygon", + "coordinates": [ + [ + [100.2, 0.2], + [100.8, 0.2], + [100.8, 0.8], + [100.2, 0.8], + [100.2, 0.2], + ] + ], + } + ), + } + ) + + # -- Area that does NOT overlap the first geofence -- + cls.area_outside = cls.env["spp.area"].create( + { + "draft_name": "Area Outside", + "code": "AREA_OUT", + "area_type_id": cls.area_type.id, + "geo_polygon": json.dumps( + { + "type": "Polygon", + "coordinates": [ + [ + [50, 50], + [51, 50], + [51, 51], + [50, 51], + [50, 50], + ] + ], + } + ), + } + ) + + # -- Area (province type) that also overlaps the first geofence -- + cls.area_province = cls.env["spp.area"].create( + { + "draft_name": "Province Overlap", + "code": "AREA_PROV", + "area_type_id": cls.area_type_province.id, + "geo_polygon": json.dumps( + { + "type": "Polygon", + "coordinates": [ + [ + [99, -1], + [102, -1], + [102, 2], + [99, 2], + [99, -1], + ] + ], + } + ), + } + ) + + # -- Registrants -- + point_inside = json.dumps({"type": "Point", "coordinates": [100.5, 0.5]}) + point_outside = json.dumps({"type": "Point", "coordinates": [50, 50]}) + point_in_geofence2 = json.dumps({"type": "Point", "coordinates": [110.5, 10.5]}) + + cls.reg_inside = cls.env["res.partner"].create( + { + "name": "Inside Registrant", + "is_registrant": True, + "is_group": False, + "coordinates": point_inside, + } + ) + cls.reg_outside = cls.env["res.partner"].create( + { + "name": "Outside Registrant", + "is_registrant": True, + "is_group": False, + "coordinates": point_outside, + } + ) + cls.reg_no_coords_in_area = cls.env["res.partner"].create( + { + "name": "No Coords In Area", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_inside.id, + } + ) + cls.reg_no_coords_out_area = cls.env["res.partner"].create( + { + "name": "No Coords Out Area", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_outside.id, + } + ) + cls.reg_in_province = cls.env["res.partner"].create( + { + "name": "No Coords In Province", + "is_registrant": True, + "is_group": False, + "area_id": cls.area_province.id, + } + ) + cls.reg_in_geofence2 = cls.env["res.partner"].create( + { + "name": "In Geofence 2", + "is_registrant": True, + "is_group": False, + "coordinates": point_in_geofence2, + } + ) + cls.reg_disabled = cls.env["res.partner"].create( + { + "name": "Disabled Registrant", + "is_registrant": True, + "is_group": False, + "disabled": fields.Datetime.now(), + "coordinates": point_inside, + } + ) + # Registrant with BOTH coordinates inside AND area inside + cls.reg_both = cls.env["res.partner"].create( + { + "name": "Both Coords And Area", + "is_registrant": True, + "is_group": False, + "coordinates": point_inside, + "area_id": cls.area_inside.id, + } + ) + # Group registrant (for target_type tests) + cls.group_reg = cls.env["res.partner"].create( + { + "name": "Group Registrant", + "is_registrant": True, + "is_group": True, + "area_id": cls.area_inside.id, + } + ) + + # -- Program -- + cls.program = cls.env["spp.program"].create( + { + "name": "Geofence Test Program", + "target_type": "individual", + "geofence_ids": [Command.set([cls.geofence.id])], + } + ) + + # -- Geofence Eligibility Manager -- + cls.manager = cls.env["spp.program.membership.manager.geofence"].create( + { + "name": "Test Geofence Manager", + "program_id": cls.program.id, + } + ) + + # --- Manager registration --- + + def test_manager_selection_registered(self): + """Geofence Eligibility appears in the manager selection.""" + selection = self.env["spp.eligibility.manager"]._selection_manager_ref_id() + manager_names = [s[0] for s in selection] + self.assertIn("spp.program.membership.manager.geofence", manager_names) + + # --- Tier 1: coordinate-based --- + + def test_tier1_coordinates_inside(self): + """Registrant with coordinates inside geofence is eligible.""" + eligible = self.manager._find_eligible_registrants() + self.assertIn(self.reg_inside, eligible) + + def test_tier1_coordinates_outside(self): + """Registrant with coordinates outside geofence is not eligible.""" + eligible = self.manager._find_eligible_registrants() + self.assertNotIn(self.reg_outside, eligible) + + def test_tier1_no_coordinates_not_matched(self): + """Registrant without coordinates is not matched by Tier 1 alone.""" + self.manager.include_area_fallback = False + eligible = self.manager._find_eligible_registrants() + self.assertNotIn(self.reg_no_coords_in_area, eligible) + # Restore + self.manager.include_area_fallback = True + + # --- Tier 2: area fallback --- + + def test_tier2_area_intersects(self): + """Registrant in intersecting area is eligible via fallback.""" + eligible = self.manager._find_eligible_registrants() + self.assertIn(self.reg_no_coords_in_area, eligible) + + def test_tier2_area_no_intersection(self): + """Registrant in non-intersecting area is not eligible.""" + eligible = self.manager._find_eligible_registrants() + self.assertNotIn(self.reg_no_coords_out_area, eligible) + + def test_tier2_disabled(self): + """When include_area_fallback=False, Tier 2 is skipped.""" + self.manager.include_area_fallback = False + eligible = self.manager._find_eligible_registrants() + self.assertNotIn(self.reg_no_coords_in_area, eligible) + # Restore + self.manager.include_area_fallback = True + + # --- Tier 2: area type filter --- + + def test_tier2_area_type_filter_includes_matching_type(self): + """When fallback_area_type_id is set, only areas of that type are matched.""" + self.manager.fallback_area_type_id = self.area_type + eligible = self.manager._find_eligible_registrants() + # District area matches, so registrant in district area is eligible + self.assertIn(self.reg_no_coords_in_area, eligible) + # Province area does NOT match the filter, so registrant in province is excluded + self.assertNotIn(self.reg_in_province, eligible) + # Restore + self.manager.fallback_area_type_id = False + + def test_tier2_area_type_filter_excludes_non_matching(self): + """When fallback_area_type_id is set to a type with no matching areas, Tier 2 is empty.""" + # Set filter to province type; but our geofence is small enough that + # the province area also overlaps. The point is that district registrants + # should be excluded. + self.manager.fallback_area_type_id = self.area_type_province + eligible = self.manager._find_eligible_registrants() + # Province area overlaps, so province registrant IS eligible + self.assertIn(self.reg_in_province, eligible) + # District registrant is NOT eligible (wrong area type) + self.assertNotIn(self.reg_no_coords_in_area, eligible) + # Restore + self.manager.fallback_area_type_id = False + + def test_tier2_no_area_type_filter_includes_all(self): + """When fallback_area_type_id is not set, all area types are matched.""" + self.manager.fallback_area_type_id = False + eligible = self.manager._find_eligible_registrants() + # Both district and province registrants should be eligible + self.assertIn(self.reg_no_coords_in_area, eligible) + self.assertIn(self.reg_in_province, eligible) + + # --- Hybrid union --- + + def test_hybrid_no_duplicates(self): + """Registrant matched by both tiers appears only once.""" + eligible = self.manager._find_eligible_registrants() + count = len([r for r in eligible if r.id == self.reg_both.id]) + self.assertEqual(count, 1) + + # --- Multiple geofences --- + + def test_multiple_geofences(self): + """Registrant in second geofence is eligible.""" + self.program.geofence_ids = [Command.set([self.geofence.id, self.geofence2.id])] + eligible = self.manager._find_eligible_registrants() + self.assertIn(self.reg_in_geofence2, eligible) + self.assertIn(self.reg_inside, eligible) + # Restore + self.program.geofence_ids = [Command.set([self.geofence.id])] + + # --- No geofences --- + + def test_no_geofences_empty_result(self): + """Program with no geofences returns no eligible registrants.""" + self.program.geofence_ids = [Command.clear()] + eligible = self.manager._find_eligible_registrants() + self.assertEqual(len(eligible), 0) + # Restore + self.program.geofence_ids = [Command.set([self.geofence.id])] + + # --- Enrollment pipeline --- + + def test_enroll_eligible_registrants(self): + """enroll_eligible_registrants filters memberships to eligible partners.""" + membership = self.env["spp.program.membership"].create( + { + "partner_id": self.reg_inside.id, + "program_id": self.program.id, + "state": "draft", + } + ) + membership_outside = self.env["spp.program.membership"].create( + { + "partner_id": self.reg_outside.id, + "program_id": self.program.id, + "state": "draft", + } + ) + result = self.manager.enroll_eligible_registrants(membership | membership_outside) + self.assertIn(membership, result) + self.assertNotIn(membership_outside, result) + + def test_import_eligible_registrants(self): + """import_eligible_registrants creates memberships for eligible registrants.""" + # Use a fresh program to avoid pre-existing memberships + program2 = self.env["spp.program"].create( + { + "name": "Import Test Program", + "target_type": "individual", + "geofence_ids": [Command.set([self.geofence.id])], + } + ) + manager2 = self.env["spp.program.membership.manager.geofence"].create( + { + "name": "Import Manager", + "program_id": program2.id, + } + ) + count = manager2.import_eligible_registrants() + self.assertGreater(count, 0) + enrolled_partners = program2.program_membership_ids.mapped("partner_id") + self.assertIn(self.reg_inside, enrolled_partners) + self.assertNotIn(self.reg_outside, enrolled_partners) + + def test_import_excludes_already_enrolled(self): + """import_eligible_registrants does not duplicate existing memberships.""" + program3 = self.env["spp.program"].create( + { + "name": "Dedup Test Program", + "target_type": "individual", + "geofence_ids": [Command.set([self.geofence.id])], + } + ) + manager3 = self.env["spp.program.membership.manager.geofence"].create( + { + "name": "Dedup Manager", + "program_id": program3.id, + } + ) + # First import + manager3.import_eligible_registrants() + count1 = len(program3.program_membership_ids) + + # Second import should add nothing + manager3.import_eligible_registrants() + count2 = len(program3.program_membership_ids) + self.assertEqual(count1, count2) + + # --- Disabled registrants --- + + def test_disabled_registrants_excluded(self): + """Disabled registrants are never eligible.""" + eligible = self.manager._find_eligible_registrants() + self.assertNotIn(self.reg_disabled, eligible) + + # --- Target type --- + + def test_target_type_individual(self): + """When target_type is 'individual', groups are excluded.""" + eligible = self.manager._find_eligible_registrants() + self.assertNotIn(self.group_reg, eligible) + + def test_target_type_group(self): + """When target_type is 'group', individuals are excluded.""" + self.program.target_type = "group" + eligible = self.manager._find_eligible_registrants() + self.assertIn(self.group_reg, eligible) + self.assertNotIn(self.reg_inside, eligible) + # Restore + self.program.target_type = "individual" + + # --- MultiPolygon geometry --- + + def test_multipolygon_geofence(self): + """Program with multiple non-overlapping geofences uses MultiPolygon via unary_union.""" + self.program.geofence_ids = [Command.set([self.geofence.id, self.geofence2.id])] + eligible = self.manager._find_eligible_registrants() + # Both registrants from different geofences should be eligible + self.assertIn(self.reg_inside, eligible) + self.assertIn(self.reg_in_geofence2, eligible) + # Outside registrant should not be + self.assertNotIn(self.reg_outside, eligible) + # Restore + self.program.geofence_ids = [Command.set([self.geofence.id])] + + # --- Program geofence field --- + + def test_program_geofence_count(self): + """geofence_count is computed correctly.""" + self.assertEqual(self.program.geofence_count, 1) + self.program.geofence_ids = [Command.set([self.geofence.id, self.geofence2.id])] + self.assertEqual(self.program.geofence_count, 2) + # Restore + self.program.geofence_ids = [Command.set([self.geofence.id])] + + +@tagged("post_install", "-at_install") +class TestGeofenceEligibilityOfficer(TransactionCase): + """Test geofence eligibility with programs_officer user context.""" + + @classmethod + def setUpClass(cls): + super().setUpClass() + cls.env = cls.env( + context=dict( + cls.env.context, + test_queue_job_no_delay=True, + tracking_disable=True, + ) + ) + + # Create officer user + cls.officer_user = cls.env["res.users"].create( + { + "name": "Test Officer", + "login": "test_geofence_officer", + "group_ids": [ + Command.link(cls.env.ref("spp_programs.group_programs_officer").id), + Command.link(cls.env.ref("base.group_user").id), + ], + } + ) + + # Create test data as admin + cls.geofence = cls.env["spp.gis.geofence"].create( + { + "name": "Officer Test Geofence", + "geometry": json.dumps( + { + "type": "Polygon", + "coordinates": [[[100, 0], [101, 0], [101, 1], [100, 1], [100, 0]]], + } + ), + "geofence_type": "custom", + } + ) + + cls.program = cls.env["spp.program"].create( + { + "name": "Officer Test Program", + "target_type": "individual", + "geofence_ids": [Command.set([cls.geofence.id])], + } + ) + + cls.manager = cls.env["spp.program.membership.manager.geofence"].create( + { + "name": "Officer Manager", + "program_id": cls.program.id, + } + ) + + def test_officer_can_read_manager(self): + """Programs officer can read the geofence eligibility manager.""" + manager_as_officer = self.manager.with_user(self.officer_user) + self.assertEqual(manager_as_officer.name, "Officer Manager") + + def test_officer_can_create_manager(self): + """Programs officer can create a geofence eligibility manager.""" + new_manager = ( + self.env["spp.program.membership.manager.geofence"] + .with_user(self.officer_user) + .create( + { + "name": "Officer Created Manager", + "program_id": self.program.id, + } + ) + ) + self.assertTrue(new_manager.id) diff --git a/spp_program_geofence/views/eligibility_manager_view.xml b/spp_program_geofence/views/eligibility_manager_view.xml new file mode 100644 index 00000000..fa1e985d --- /dev/null +++ b/spp_program_geofence/views/eligibility_manager_view.xml @@ -0,0 +1,98 @@ + + + + + spp.program.membership.manager.geofence.form + spp.program.membership.manager.geofence + +
+ +
+
+ + + + + + + + + + + + + + + + +
+
+
+ + + + + registrants match the current geographic scope. +
+ + + + +
+ + diff --git a/spp_program_geofence/views/geofence_view.xml b/spp_program_geofence/views/geofence_view.xml new file mode 100644 index 00000000..0f5b448a --- /dev/null +++ b/spp_program_geofence/views/geofence_view.xml @@ -0,0 +1,142 @@ + + + + + spp.gis.geofence.list + spp.gis.geofence + + + + + + + + + + + + + + spp.gis.geofence.form + spp.gis.geofence + +
+ +
+
+ + + + + + + + + + + + + + + + + + + + +
+ + + + + + spp.gis.geofence.search + spp.gis.geofence + + + + + + + + + + + + + + spp.gis.geofence.gis + + spp.gis.geofence + + + + + + + + + + + + + Geofence Polygons + + + basic + + 0.8 + #FF680A + + + + osm + Default + + + + + + Geofences + spp.gis.geofence + list,form + + + + + + diff --git a/spp_program_geofence/views/program_view.xml b/spp_program_geofence/views/program_view.xml new file mode 100644 index 00000000..bcb7e99a --- /dev/null +++ b/spp_program_geofence/views/program_view.xml @@ -0,0 +1,82 @@ + + + + + spp.program.form.geofence + spp.program + + 101 + + + + + + + + +
+
+
+ +
+
Geographic Scope
+ Define where this program operates +
+
+
+ + + geofence(s) + +
+
+
+ + + + + + + +
+
+ + + + diff --git a/spp_program_geofence/wizard/__init__.py b/spp_program_geofence/wizard/__init__.py new file mode 100644 index 00000000..d35ad02c --- /dev/null +++ b/spp_program_geofence/wizard/__init__.py @@ -0,0 +1,2 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from . import create_program_wizard diff --git a/spp_program_geofence/wizard/create_program_wizard.py b/spp_program_geofence/wizard/create_program_wizard.py new file mode 100644 index 00000000..09dff1ee --- /dev/null +++ b/spp_program_geofence/wizard/create_program_wizard.py @@ -0,0 +1,18 @@ +# Part of OpenSPP. See LICENSE file for full copyright and licensing details. +from odoo import Command, fields, models + + +class SPPCreateNewProgramWizGeofence(models.TransientModel): + _inherit = "spp.program.create.wizard" + + geofence_ids = fields.Many2many( + "spp.gis.geofence", + string="Geofences", + help="Define the geographic scope for this program.", + ) + + def get_program_vals(self): + vals = super().get_program_vals() + if self.geofence_ids: + vals["geofence_ids"] = [Command.set(self.geofence_ids.ids)] + return vals diff --git a/spp_program_geofence/wizard/create_program_wizard.xml b/spp_program_geofence/wizard/create_program_wizard.xml new file mode 100644 index 00000000..6e1732f9 --- /dev/null +++ b/spp_program_geofence/wizard/create_program_wizard.xml @@ -0,0 +1,25 @@ + + + + + Create Program Wizard - Geofence + spp.program.create.wizard + 15 + + + + + + + + + + + +