diff --git a/.claude/settings.local.json b/.claude/settings.local.json index 089410b..1b091a7 100644 --- a/.claude/settings.local.json +++ b/.claude/settings.local.json @@ -10,5 +10,19 @@ "Agent(*)", "Skill(*)" ] + }, + "hooks": { + "UserPromptSubmit": [ + { + "matcher": "", + "hooks": [ + { + "type": "command", + "command": "bash tools/nlm/auto-query.sh", + "timeout": 10 + } + ] + } + ] } } diff --git a/.gitignore b/.gitignore index 8672360..0f2f63f 100644 --- a/.gitignore +++ b/.gitignore @@ -16,6 +16,7 @@ data/ # ── Generated outputs ── output/ +exports/ *.pdf *.log /tmp/ diff --git a/.python-version b/.python-version index 871f80a..3b2cfc0 100644 --- a/.python-version +++ b/.python-version @@ -1 +1 @@ -3.12.3 +3.12.10 diff --git a/DaivAI_Phase1_Deep_Audit_Report.docx b/DaivAI_Phase1_Deep_Audit_Report.docx new file mode 100644 index 0000000..4c74871 Binary files /dev/null and b/DaivAI_Phase1_Deep_Audit_Report.docx differ diff --git a/Makefile b/Makefile index 335dea4..544c83b 100644 --- a/Makefile +++ b/Makefile @@ -1,7 +1,7 @@ .PHONY: help install test lint typecheck format audit all clean run backup backup-gdrive backup-setup -PYTHON ?= python3 UV ?= uv +PYTHON ?= $(UV) run python3 help: ## Show this help message @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | \ diff --git a/apps/pyproject.toml b/apps/pyproject.toml index a24bb21..3eda724 100644 --- a/apps/pyproject.toml +++ b/apps/pyproject.toml @@ -1,5 +1,5 @@ [project] -name = "daivai" +name = "daivai-apps" version = "1.0.0" description = "AI-powered Vedic astrology — CLI, Web, and Telegram." requires-python = ">=3.12" @@ -23,7 +23,7 @@ web = [ "sqlmodel>=0.0.22", ] telegram = ["python-telegram-bot>=21.0"] -all = ["daivai[web,telegram]"] +all = ["daivai-apps[web,telegram]"] [project.scripts] daivai = "daivai_app.cli.main:cli" diff --git a/apps/src/daivai_app/cli/main.py b/apps/src/daivai_app/cli/main.py index eba4d7d..2c9329f 100644 --- a/apps/src/daivai_app/cli/main.py +++ b/apps/src/daivai_app/cli/main.py @@ -4,6 +4,7 @@ import logging import sys +from typing import cast import click from rich.console import Console @@ -34,7 +35,7 @@ def _load_chart_from_args( console.print(f"[red]Chart file not found: {chart}[/red]") sys.exit(1) data = json.loads(path.read_text()) - return ChartData.model_validate(data) + return cast(ChartData, ChartData.model_validate(data)) if not all([name, dob, tob]): console.print("[red]Provide --name, --dob, --tob (and --place or --chart)[/red]") diff --git a/apps/src/daivai_app/scheduler.py b/apps/src/daivai_app/scheduler.py index 1071b7d..ab38fa1 100644 --- a/apps/src/daivai_app/scheduler.py +++ b/apps/src/daivai_app/scheduler.py @@ -7,7 +7,7 @@ import time from datetime import datetime, timedelta from pathlib import Path -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, cast from zoneinfo import ZoneInfo @@ -40,7 +40,7 @@ def _load_chart(chart_path: str = "charts/manish.json") -> ChartData | None: if not path.exists(): logger.error("Chart not found: %s", path) return None - return ChartData.model_validate_json(path.read_text()) + return cast("ChartData", ChartData.model_validate_json(path.read_text())) def _send_telegram_message(token: str, chat_id: str, message: str) -> bool: diff --git a/apps/src/daivai_app/telegram/handlers.py b/apps/src/daivai_app/telegram/handlers.py index 866daeb..9b3b286 100644 --- a/apps/src/daivai_app/telegram/handlers.py +++ b/apps/src/daivai_app/telegram/handlers.py @@ -5,7 +5,7 @@ import json import logging from pathlib import Path -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, cast if TYPE_CHECKING: @@ -58,7 +58,7 @@ def _load_chart(chart_path: str | None = None) -> ChartData | None: if not path.exists(): return None - return ChartData.model_validate_json(path.read_text()) + return cast("ChartData", ChartData.model_validate_json(path.read_text())) async def handle_start(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None: diff --git a/apps/src/daivai_app/web/app.py b/apps/src/daivai_app/web/app.py index 3f86a93..a91a97c 100644 --- a/apps/src/daivai_app/web/app.py +++ b/apps/src/daivai_app/web/app.py @@ -92,14 +92,14 @@ async def auth_required_handler(request: Request, exc: _AuthRequiredError) -> Re @app.exception_handler(404) async def not_found(request: Request, exc: Exception) -> Response: return templates.TemplateResponse( - "error.html", {"request": request, "code": 404}, status_code=404 + request, "error.html", context={"code": 404}, status_code=404 ) @app.exception_handler(500) async def server_error(request: Request, exc: Exception) -> Response: logger.exception("Internal server error: %s", exc) return templates.TemplateResponse( - "error.html", {"request": request, "code": 500}, status_code=500 + request, "error.html", context={"code": 500}, status_code=500 ) # ── Register routes ── diff --git a/apps/src/daivai_app/web/database.py b/apps/src/daivai_app/web/database.py index 468d151..42fdabc 100644 --- a/apps/src/daivai_app/web/database.py +++ b/apps/src/daivai_app/web/database.py @@ -9,12 +9,12 @@ import os from datetime import datetime from pathlib import Path -from typing import Any +from typing import Any, cast from sqlmodel import Field, Session, SQLModel, create_engine, select -class User(SQLModel, table=True): +class User(SQLModel, table=True): # type: ignore[call-arg] """Google OAuth user.""" id: int | None = Field(default=None, primary_key=True) @@ -27,7 +27,7 @@ class User(SQLModel, table=True): last_login: datetime = Field(default_factory=datetime.now) -class Client(SQLModel, table=True): +class Client(SQLModel, table=True): # type: ignore[call-arg] """A person whose chart has been computed.""" id: int | None = Field(default=None, primary_key=True) @@ -45,7 +45,7 @@ class Client(SQLModel, table=True): updated_at: datetime = Field(default_factory=datetime.now) -class DailyCache(SQLModel, table=True): +class DailyCache(SQLModel, table=True): # type: ignore[call-arg] """Cached daily guidance to avoid recomputation.""" id: int | None = Field(default=None, primary_key=True) @@ -98,7 +98,7 @@ def get_or_create_user( session.add(user) session.commit() session.refresh(user) - return user + return cast(User, user) user = User( google_id=google_id, @@ -119,7 +119,7 @@ def get_or_create_user( def get_user_by_id(user_id: int) -> User | None: """Fetch a user by primary key.""" with get_session() as session: - return session.get(User, user_id) + return cast(User | None, session.get(User, user_id)) # ── Client CRUD ────────────────────────────────────────────────────────── @@ -158,7 +158,7 @@ def create_client( def get_client(client_id: int) -> Client | None: """Fetch a client by ID.""" with get_session() as session: - return session.get(Client, client_id) + return cast(Client | None, session.get(Client, client_id)) def get_clients_for_user(user_id: int) -> list[Client]: diff --git a/apps/src/daivai_app/web/routes.py b/apps/src/daivai_app/web/routes.py index 450fde0..ea8ca79 100644 --- a/apps/src/daivai_app/web/routes.py +++ b/apps/src/daivai_app/web/routes.py @@ -43,9 +43,9 @@ async def home(request: Request) -> Response: return RedirectResponse(url="/dashboard", status_code=302) error = request.query_params.get("error", "") return templates.TemplateResponse( + request, "login.html", - { - "request": request, + context={ "error": error, }, ) @@ -69,9 +69,9 @@ async def dashboard(request: Request) -> Response: } ) return templates.TemplateResponse( + request, "dashboard.html", - { - "request": request, + context={ "user": user, "clients": client_data, }, @@ -82,9 +82,9 @@ async def new_client_form(request: Request) -> Response: """Show the birth data input form.""" user = require_auth(request) return templates.TemplateResponse( + request, "input_form.html", - { - "request": request, + context={ "user": user, }, ) diff --git a/apps/src/daivai_app/web/routes_client.py b/apps/src/daivai_app/web/routes_client.py index f038a6b..fa4d26d 100644 --- a/apps/src/daivai_app/web/routes_client.py +++ b/apps/src/daivai_app/web/routes_client.py @@ -48,9 +48,9 @@ async def client_overview(request: Request, client_id: int) -> Response: ctx = build_chart_context(chart_data) return templates.TemplateResponse( + request, "overview.html", - { - "request": request, + context={ "user": user, "client": client, "chart": chart_data, @@ -70,9 +70,9 @@ async def dasha_page(request: Request, client_id: int) -> Response: ctx = build_chart_context(chart_data) return templates.TemplateResponse( + request, "dasha.html", - { - "request": request, + context={ "user": user, "client": client, "chart": chart_data, @@ -92,9 +92,9 @@ async def ratna_page(request: Request, client_id: int) -> Response: ctx = build_chart_context(chart_data) return templates.TemplateResponse( + request, "ratna.html", - { - "request": request, + context={ "user": user, "client": client, "chart": chart_data, @@ -155,9 +155,9 @@ async def daily_page(request: Request, client_id: int) -> Response: suggestion = compute_daily_suggestion(chart) return templates.TemplateResponse( + request, "daily.html", - { - "request": request, + context={ "user": user, "client": client, "chart": chart_data, @@ -187,9 +187,9 @@ async def navamsha_page(request: Request, client_id: int) -> Response: vargottam = get_vargottam_planets(chart) return templates.TemplateResponse( + request, "navamsha.html", - { - "request": request, + context={ "user": user, "client": client, "chart": chart_data, diff --git a/apps/src/daivai_app/web/routes_standalone.py b/apps/src/daivai_app/web/routes_standalone.py index e77728a..e5e9602 100644 --- a/apps/src/daivai_app/web/routes_standalone.py +++ b/apps/src/daivai_app/web/routes_standalone.py @@ -37,9 +37,9 @@ async def match_form(request: Request) -> Response: """Show the two-person compatibility form.""" user = require_auth(request) return templates.TemplateResponse( + request, "match_form.html", - { - "request": request, + context={ "user": user, }, ) @@ -94,9 +94,9 @@ async def match_result( ) return templates.TemplateResponse( + request, "match_result.html", - { - "request": request, + context={ "user": user, "name1": name1, "name2": name2, @@ -111,9 +111,9 @@ async def muhurta_form(request: Request) -> Response: """Show the muhurta search form.""" user = require_auth(request) return templates.TemplateResponse( + request, "muhurta_form.html", - { - "request": request, + context={ "user": user, }, ) @@ -149,9 +149,9 @@ async def muhurta_result( purpose_hi = _PURPOSE_HINDI.get(purpose, purpose) return templates.TemplateResponse( + request, "muhurta_result.html", - { - "request": request, + context={ "user": user, "results": results, "purpose_hi": purpose_hi, diff --git a/docs/products/family-bond.md b/docs/products/family-bond.md new file mode 100644 index 0000000..c532c07 --- /dev/null +++ b/docs/products/family-bond.md @@ -0,0 +1,93 @@ +# Family Bond Kundali (परिवार बंध कुण्डली) + +> Cross-chart family analysis — gemstone synergy, wealth flow, dasha sync + +## Status + +- **Phase 1.5 (Engine)**: DONE — 6 compute modules, 3 model files, gem_therapy_core extended +- **Phase 4 (Plugin)**: NOT STARTED — plugin, prompts, CLI commands deferred + +## The Discovery + +Individual kundali analysis treats each person in isolation. A real Varanasi +Pandit considers cross-chart interactions: + +1. **Rashyadhipati**: Rahu/Ketu give results of their sign lord's functional + nature. Without this, Gomed was incorrectly "neutral" for Vrischik lagna + when it should be SAFE (Rahu in Dhanu, sign lord = Jupiter = 2+5L = most benefic). + +2. **Karmic Complementarity**: One spouse's prohibited stone = the other's + recommended stone. "जो एक के लिए विष, दूसरे के लिए अमृत" + +3. **Wealth Flow**: Who earns vs who accumulates — determines which spouse + should manage finances. + +4. **Conjunction Penalty**: Lagnesh conjunct Rahu/6L/8L/12L reduces gemstone + weight (stone amplifies ALL conjunct energies). + +## Engine Modules (Phase 1.5) + +| Module | Purpose | Lines | +|--------|---------|-------| +| `compute/functional_nature.py` | Functional nature of any planet per lagna + Rahu/Ketu rashyadhipati | ~140 | +| `compute/cross_chart.py` | Cross-chart planetary interactions between two charts | ~210 | +| `compute/wealth_flow.py` | Earner/accumulator/distributor classification | ~120 | +| `compute/conjunction_penalty.py` | Gemstone weight penalty from malefic conjunctions | ~80 | +| `compute/family_gemstone_synergy.py` | Cross-family gemstone complementarity analysis | ~170 | +| `compute/dasha_sync.py` | Synchronised dasha timeline for family members | ~125 | +| `models/functional_nature.py` | FunctionalNature, ShadowPlanetNature | ~50 | +| `models/cross_chart.py` | PlanetOverlay, CrossChartResult | ~50 | +| `models/family_bond.py` | WealthFlowProfile, ConjunctionPenalty, FamilyGemSynergyResult, DashaSyncResult | ~110 | + +### Key Extension: gem_therapy_core.py + +Post-processes Rahu/Ketu via `get_shadow_planet_nature()`. Rahu/Ketu no longer +default to "neutral" — they resolve through their sign lord's functional nature +per the lagna. This is the fix for the Gomed miss. + +## API + +```python +# Functional nature (any planet, any lagna) +from daivai_engine.compute.functional_nature import get_functional_nature, get_shadow_planet_nature +nature = get_functional_nature("Jupiter", "Scorpio") # yogakaraka, 2+5L +shadow = get_shadow_planet_nature("Rahu", chart) # sign lord resolution + +# Cross-chart interactions +from daivai_engine.compute.cross_chart import compute_cross_chart_interactions +result = compute_cross_chart_interactions(chart_a, chart_b) + +# Wealth flow +from daivai_engine.compute.wealth_flow import classify_wealth_flow +profile = classify_wealth_flow(chart) # "accumulator", "distributor", etc. + +# Conjunction penalty +from daivai_engine.compute.conjunction_penalty import compute_conjunction_penalty +penalty = compute_conjunction_penalty(chart, "Mercury") # penalty_factor: 0.50 + +# Family gemstone synergy +from daivai_engine.compute.family_gemstone_synergy import compute_family_gem_synergy +synergy = compute_family_gem_synergy([chart_a, chart_b]) + +# Dasha sync +from daivai_engine.compute.dasha_sync import compute_dasha_sync +sync = compute_dasha_sync([chart_a, chart_b]) +``` + +## Validation Cases + +| Case | Individual | Family Bond | +|------|-----------|-------------| +| Gomed for Vrischik lagna (Rahu in Dhanu) | neutral | SAFE (Jupiter = 2+5L) | +| Pukhraj: Manish (Mithuna) vs Vaishali (Vrischik) | Manish: prohibited | Karmic complement | +| Mercury conjunct Rahu (Manish) | Panna: recommended | Panna: recommended at 50% weight | +| Wealth flow (Manish: 2L+11L+10L in 12th) | Not analysed | Distributor pattern | + +## Deferred to Phase 4 + +- `products/plugins/family_bond/` plugin +- LLM prompt templates (couple_analysis, wealth_strategy, gemstone_family) +- CLI commands (`daivai family bond`, `daivai family add`) +- Multi-school validation matrix (7 schools, weighted voting) +- PDF report rendering +- `family_bond_rules.yaml` knowledge file diff --git a/engine/src/daivai_engine/__init__.py b/engine/src/daivai_engine/__init__.py index 8dbe0b3..4394943 100644 --- a/engine/src/daivai_engine/__init__.py +++ b/engine/src/daivai_engine/__init__.py @@ -1,8 +1,23 @@ -"""Jyotish Engine — Pure Vedic astrology computation. Zero AI.""" +"""Jyotish Engine — Pure Vedic astrology computation. Zero AI. + +Public API: + compute_chart() → ChartData (single chart computation) + compute_full_analysis() → FullChartAnalysis (complete 67-field analysis) +""" __version__ = "1.0.0" +from daivai_engine.compute.chart import compute_chart +from daivai_engine.compute.full_analysis import compute_full_analysis +from daivai_engine.models.analysis import FullChartAnalysis from daivai_engine.models.chart import ChartData, PlanetData -__all__ = ["ChartData", "PlanetData", "__version__"] +__all__ = [ + "ChartData", + "FullChartAnalysis", + "PlanetData", + "__version__", + "compute_chart", + "compute_full_analysis", +] diff --git a/engine/src/daivai_engine/compute/conjunction_penalty.py b/engine/src/daivai_engine/compute/conjunction_penalty.py new file mode 100644 index 0000000..e58fb85 --- /dev/null +++ b/engine/src/daivai_engine/compute/conjunction_penalty.py @@ -0,0 +1,84 @@ +"""Gemstone weight penalty for planets conjunct malefic influences. + +When a recommended planet (e.g., Lagnesh) conjuncts Rahu, 6th lord, 8th lord, +or 12th lord, the gemstone amplifies ALL conjunct energies — not just the +target planet. This module computes a penalty factor (0.0-1.0) to reduce +the recommended stone weight. + +Source: BV Raman, *How to Judge a Horoscope* Vol.II — stone activation +risk from malefic conjunction partners. +""" + +from __future__ import annotations + +from daivai_engine.compute.chart import are_conjunct, get_house_lord +from daivai_engine.models.chart import ChartData +from daivai_engine.models.family_bond import ConjunctionPenalty + + +# Penalty factors by conjunct partner type. 1.0 = no penalty. +_PENALTY_RAHU = 0.65 # Rahu amplifies obsession / shadow qualities +_PENALTY_KETU = 0.70 # Ketu amplifies detachment / sudden events +_PENALTY_6L = 0.75 # 6th lord = enemies, disease, debt +_PENALTY_8L = 0.70 # 8th lord = sudden events, surgery, accident +_PENALTY_12L = 0.75 # 12th lord = expenditure, loss, foreign lands + +# The minimum aggregate penalty factor (floor). +_MIN_PENALTY = 0.50 + + +def compute_conjunction_penalty(chart: ChartData, planet: str) -> ConjunctionPenalty: + """Check if *planet* conjuncts Rahu, Ketu, 6L, 8L, or 12L and compute penalty. + + The penalty factor is multiplicative: if the planet conjuncts both Rahu + (0.65) and 12L (0.75) the combined factor is 0.65 * 0.75 = ~0.49, floored + at 0.50. + + Args: + chart: Computed birth chart. + planet: The planet whose gemstone weight we are adjusting. + + Returns: + ConjunctionPenalty with has_penalty, penalty_factor, conjunct list, + and reasoning. + """ + conjunct_with: list[str] = [] + factor = 1.0 + + # Check shadow planets + for shadow, pen in [("Rahu", _PENALTY_RAHU), ("Ketu", _PENALTY_KETU)]: + if shadow != planet and are_conjunct(chart, planet, shadow): + conjunct_with.append(shadow) + factor *= pen + + # Check dusthana lords (6, 8, 12) + dusthana_map = {6: _PENALTY_6L, 8: _PENALTY_8L, 12: _PENALTY_12L} + seen_lords: set[str] = set() + + for house, pen in dusthana_map.items(): + lord = get_house_lord(chart, house) + if lord == planet or lord in seen_lords: + continue + seen_lords.add(lord) + if are_conjunct(chart, planet, lord): + conjunct_with.append(f"{lord} ({house}L)") + factor *= pen + + factor = max(factor, _MIN_PENALTY) + has_penalty = factor < 1.0 + + if has_penalty: + reasoning = ( + f"{planet} conjuncts {', '.join(conjunct_with)} → " + f"reduce stone weight to {factor:.0%} of base recommendation." + ) + else: + reasoning = f"{planet} has no malefic conjunction partners." + + return ConjunctionPenalty( + planet=planet, + has_penalty=has_penalty, + penalty_factor=round(factor, 2), + conjunct_with=conjunct_with, + reasoning=reasoning, + ) diff --git a/engine/src/daivai_engine/compute/cross_chart.py b/engine/src/daivai_engine/compute/cross_chart.py new file mode 100644 index 0000000..3f014fc --- /dev/null +++ b/engine/src/daivai_engine/compute/cross_chart.py @@ -0,0 +1,213 @@ +"""Cross-chart (synastry) planetary interaction analysis. + +Computes planet-on-planet overlays between two birth charts to identify +emotional influence (Moon contacts), relationship dynamics (axis contacts), +karmic bonds (Saturn/Rahu contacts), and general synastry interactions. + +Source: Parashari synastry principles adapted for computational analysis. +""" + +from __future__ import annotations + +from daivai_engine.compute.chart import get_house_lord +from daivai_engine.constants.misc import FULL_CIRCLE_DEG, HALF_CIRCLE_DEG +from daivai_engine.constants.signs import SIGN_LORDS, SIGNS +from daivai_engine.models.chart import ChartData +from daivai_engine.models.cross_chart import CrossChartResult, PlanetOverlay + + +_ALL_PLANETS = ["Sun", "Moon", "Mars", "Mercury", "Jupiter", "Venus", "Saturn", "Rahu", "Ketu"] +_KARMIC_PLANETS = {"Saturn", "Rahu", "Ketu"} + +# Aspect orbs (degrees) +_ORB_CONJUNCTION = 10.0 +_ORB_OPPOSITION = 10.0 +_ORB_TRINE = 8.0 +_ORB_SQUARE = 7.0 +_ORB_SEXTILE = 6.0 + +# Aspect definitions: (target_degrees, name, orb) +_ASPECTS: list[tuple[float, str, float]] = [ + (0.0, "conjunction", _ORB_CONJUNCTION), + (180.0, "opposition", _ORB_OPPOSITION), + (120.0, "trine", _ORB_TRINE), + (240.0, "trine", _ORB_TRINE), + (90.0, "square", _ORB_SQUARE), + (270.0, "square", _ORB_SQUARE), + (60.0, "sextile", _ORB_SEXTILE), + (300.0, "sextile", _ORB_SEXTILE), +] + + +def compute_cross_chart_interactions( + chart_a: ChartData, + chart_b: ChartData, + orb: float = _ORB_CONJUNCTION, +) -> CrossChartResult: + """Find where Person A's planets overlay Person B's chart. + + Analyses all planet pairs across two charts and categorises them into: + - overlays: all significant aspects between charts + - moon_contacts: any planet of A on B's Moon (or vice versa) + - axis_contacts: Lagnesh-on-Moon, 7th-lord-on-Lagna cross-references + - karmic_links: Saturn or Rahu/Ketu contacts indicating deep karmic bonds + + Args: + chart_a: First person's birth chart. + chart_b: Second person's birth chart. + orb: Default orb for conjunction detection (degrees). + + Returns: + CrossChartResult with categorised overlays and a bond strength score. + """ + overlays: list[PlanetOverlay] = [] + moon_contacts: list[PlanetOverlay] = [] + axis_contacts: list[PlanetOverlay] = [] + karmic_links: list[PlanetOverlay] = [] + + # Compute all inter-chart aspects + for pa_name in _ALL_PLANETS: + pa = chart_a.planets[pa_name] + for pb_name in _ALL_PLANETS: + pb = chart_b.planets[pb_name] + aspect = _find_aspect(pa.longitude, pb.longitude) + if aspect is None: + continue + + aspect_type, orb_deg = aspect + effect = _classify_effect(aspect_type, pa_name, pb_name) + sign = SIGNS[pa.sign_index] + + overlay = PlanetOverlay( + person_a_name=chart_a.name, + person_b_name=chart_b.name, + planet_a=pa_name, + planet_b=pb_name, + sign=sign, + orb_degrees=round(orb_deg, 2), + interaction_type=aspect_type, + effect=effect, + description=_describe( + chart_a.name, pa_name, chart_b.name, pb_name, aspect_type, effect + ), + ) + overlays.append(overlay) + + # Categorise + if pb_name == "Moon" or pa_name == "Moon": + moon_contacts.append(overlay) + if pa_name in _KARMIC_PLANETS or pb_name in _KARMIC_PLANETS: + karmic_links.append(overlay) + + # Axis contacts: Lagnesh-on-Moon, 7L-on-Lagna + axis_contacts = _find_axis_contacts(chart_a, chart_b, overlays) + + bond_strength = _compute_bond_strength(overlays, moon_contacts, axis_contacts, karmic_links) + + summary = _build_summary(chart_a.name, chart_b.name, overlays, moon_contacts, karmic_links) + + return CrossChartResult( + person_a=chart_a.name, + person_b=chart_b.name, + overlays=overlays, + moon_contacts=moon_contacts, + axis_contacts=axis_contacts, + karmic_links=karmic_links, + bond_strength=round(bond_strength, 1), + summary=summary, + ) + + +def _find_aspect(lon_a: float, lon_b: float) -> tuple[str, float] | None: + """Check if two longitudes form a significant aspect.""" + diff = (lon_b - lon_a) % FULL_CIRCLE_DEG + for target, name, max_orb in _ASPECTS: + orb_deg = abs(diff - target) + if orb_deg > HALF_CIRCLE_DEG: + orb_deg = FULL_CIRCLE_DEG - orb_deg + if orb_deg <= max_orb: + return name, orb_deg + return None + + +def _classify_effect(aspect_type: str, planet_a: str, planet_b: str) -> str: + """Classify the qualitative effect of an aspect.""" + if aspect_type in ("trine", "sextile"): + return "supportive" + if aspect_type in ("square", "opposition"): + if planet_a in _KARMIC_PLANETS or planet_b in _KARMIC_PLANETS: + return "karmic" + return "challenging" + # Conjunction + if planet_a in _KARMIC_PLANETS or planet_b in _KARMIC_PLANETS: + return "karmic" + return "neutral" + + +def _find_axis_contacts( + chart_a: ChartData, + chart_b: ChartData, + overlays: list[PlanetOverlay], +) -> list[PlanetOverlay]: + """Find Lagnesh-on-Moon and 7L-on-Lagna cross-references.""" + axis: list[PlanetOverlay] = [] + lagnesh_a = SIGN_LORDS[chart_a.lagna_sign_index] + lagnesh_b = SIGN_LORDS[chart_b.lagna_sign_index] + seventh_lord_a = get_house_lord(chart_a, 7) + seventh_lord_b = get_house_lord(chart_b, 7) + + axis_pairs = { + (lagnesh_a, "Moon"), # A's identity on B's emotions + ("Moon", lagnesh_b), # B's identity on A's emotions + (seventh_lord_a, lagnesh_b), # A's 7L on B's Lagna + (seventh_lord_b, lagnesh_a), # B's 7L on A's Lagna + } + + for ov in overlays: + if (ov.planet_a, ov.planet_b) in axis_pairs: + axis.append(ov) + return axis + + +def _compute_bond_strength( + overlays: list[PlanetOverlay], + moon_contacts: list[PlanetOverlay], + axis_contacts: list[PlanetOverlay], + karmic_links: list[PlanetOverlay], +) -> float: + """Compute a 0-100 bond strength score.""" + score = 0.0 + # Each overlay contributes based on type + weights = {"conjunction": 4.0, "trine": 3.0, "sextile": 2.0, "opposition": 2.5, "square": 1.5} + for ov in overlays: + score += weights.get(ov.interaction_type, 1.0) + # Moon contacts are emotionally significant + score += len(moon_contacts) * 3.0 + # Axis contacts indicate deep relationship dynamics + score += len(axis_contacts) * 5.0 + # Karmic links indicate lasting bond + score += len(karmic_links) * 2.0 + return min(score, 100.0) + + +def _describe( + name_a: str, planet_a: str, name_b: str, planet_b: str, aspect: str, effect: str +) -> str: + """Build a human-readable description of an overlay.""" + return f"{name_a}'s {planet_a} {aspect} {name_b}'s {planet_b} — {effect} influence." + + +def _build_summary( + name_a: str, + name_b: str, + overlays: list[PlanetOverlay], + moon_contacts: list[PlanetOverlay], + karmic_links: list[PlanetOverlay], +) -> str: + """Build a one-paragraph summary of the cross-chart analysis.""" + parts = [f"{name_a} x {name_b}: {len(overlays)} cross-chart aspects found."] + if moon_contacts: + parts.append(f"{len(moon_contacts)} Moon contacts (emotional bond).") + if karmic_links: + parts.append(f"{len(karmic_links)} karmic links (Saturn/Rahu/Ketu).") + return " ".join(parts) diff --git a/engine/src/daivai_engine/compute/dasha_sync.py b/engine/src/daivai_engine/compute/dasha_sync.py new file mode 100644 index 0000000..b5fb53e --- /dev/null +++ b/engine/src/daivai_engine/compute/dasha_sync.py @@ -0,0 +1,129 @@ +"""Synchronised dasha timeline for multiple family members. + +Aligns Vimshottari Mahadasha / Antardasha timelines across charts and +identifies overlapping favourable or challenging windows. Used in Family +Bond Kundali for coordinated planning (investments, career moves, health +caution periods). + +Source: Vimshottari dasha periods + functional nature classification. +""" + +from __future__ import annotations + +from datetime import datetime + +from daivai_engine.compute.dasha import compute_antardashas, compute_mahadashas +from daivai_engine.compute.datetime_utils import now_ist +from daivai_engine.compute.functional_nature import get_functional_nature +from daivai_engine.models.chart import ChartData +from daivai_engine.models.dasha import DashaPeriod +from daivai_engine.models.family_bond import DashaSyncEntry, DashaSyncResult + + +_FAVORABLE = {"benefic", "yogakaraka"} +_CHALLENGING = {"malefic", "maraka"} + + +def compute_dasha_sync( + charts: list[ChartData], + ref_date: datetime | None = None, +) -> DashaSyncResult: + """Compute synchronised dasha state for all family members. + + For each member, finds the current Mahadasha and Antardasha at *ref_date* + (defaults to now), classifies each dasha lord's functional nature, and + identifies windows where multiple members are simultaneously in favourable + or challenging dashas. + + Args: + charts: List of computed birth charts. + ref_date: Reference date/time (defaults to ``datetime.now()``). + + Returns: + DashaSyncResult with per-member dasha state and window analysis. + """ + now = ref_date or now_ist() + + entries: list[DashaSyncEntry] = [] + for chart in charts: + entry = _build_entry(chart, now) + if entry is not None: + entries.append(entry) + + favorable_windows = _find_favorable_windows(entries) + challenging_windows = _find_challenging_windows(entries) + summary = _build_summary(entries, favorable_windows, challenging_windows) + + return DashaSyncResult( + entries=entries, + favorable_windows=favorable_windows, + challenging_windows=challenging_windows, + summary=summary, + ) + + +def _build_entry(chart: ChartData, now: datetime) -> DashaSyncEntry | None: + """Build a DashaSyncEntry for one chart at a given time.""" + mahadashas = compute_mahadashas(chart) + current_md = _find_period(mahadashas, now) + if current_md is None: + return None + + # Find current antardasha within the mahadasha + antardashas = compute_antardashas(current_md) + current_ad = _find_period(antardashas, now) + ad_lord = current_ad.lord if current_ad else None + + md_nature = get_functional_nature(current_md.lord, chart.lagna_sign) + + return DashaSyncEntry( + name=chart.name, + current_md_lord=current_md.lord, + current_ad_lord=ad_lord, + md_nature=md_nature, + md_start=current_md.start, + md_end=current_md.end, + ) + + +def _find_period(periods: list[DashaPeriod], now: datetime) -> DashaPeriod | None: + """Find the period that contains *now*.""" + for p in periods: + if p.start <= now <= p.end: + return p + return periods[-1] if periods else None + + +def _find_favorable_windows(entries: list[DashaSyncEntry]) -> list[str]: + """Identify when multiple members are in benefic/yogakaraka dashas.""" + favorable = [e for e in entries if e.md_nature.classification in _FAVORABLE] + if len(favorable) >= 2: + names = ", ".join(e.name for e in favorable) + return [f"Current: {names} are in favourable Mahadashas — family growth window."] + return [] + + +def _find_challenging_windows(entries: list[DashaSyncEntry]) -> list[str]: + """Identify when multiple members are in malefic/maraka dashas.""" + challenging = [e for e in entries if e.md_nature.classification in _CHALLENGING] + if len(challenging) >= 2: + names = ", ".join(e.name for e in challenging) + return [f"Current: {names} are in challenging Mahadashas — exercise caution."] + return [] + + +def _build_summary( + entries: list[DashaSyncEntry], + favorable: list[str], + challenging: list[str], +) -> str: + """Build a one-paragraph summary.""" + parts = [f"Dasha sync for {len(entries)} members."] + for e in entries: + ad_str = f"/{e.current_ad_lord} AD" if e.current_ad_lord else "" + parts.append(f"{e.name}: {e.current_md_lord} MD{ad_str} ({e.md_nature.classification}).") + if favorable: + parts.append(favorable[0]) + if challenging: + parts.append(challenging[0]) + return " ".join(parts) diff --git a/engine/src/daivai_engine/compute/dosha.py b/engine/src/daivai_engine/compute/dosha.py index f1e4527..5081307 100644 --- a/engine/src/daivai_engine/compute/dosha.py +++ b/engine/src/daivai_engine/compute/dosha.py @@ -3,11 +3,20 @@ from __future__ import annotations from daivai_engine.compute.chart import ChartData, has_aspect -from daivai_engine.constants import SIGN_LORDS, SIGNS +from daivai_engine.compute.dosha_sadesati_pitra import ( + detect_pitra_dosha, + detect_sadesati, +) +from daivai_engine.constants import SIGNS from daivai_engine.models.dosha import DoshaResult -# ── Kaal Sarp Dosha: 12 named types by Rahu's house ───────────────────────── +# Re-export for backward compatibility +detect_sadesati = detect_sadesati +detect_pitra_dosha = detect_pitra_dosha + + +# -- Kaal Sarp Dosha: 12 named types by Rahu's house ------------------------- # Source: Traditional Jyotish; widely cited in post-classical texts. _KSD_TYPES: dict[int, tuple[str, str]] = { 1: ("Anant", "अनन्त"), @@ -265,111 +274,6 @@ def detect_kaal_sarp_dosha(chart: ChartData) -> DoshaResult: ) -def detect_sadesati(chart: ChartData, transit_saturn_sign: int | None = None) -> DoshaResult: - """Detect Sadesati — Saturn transiting 12th/1st/2nd from Moon sign. - - Args: - chart: Natal chart - transit_saturn_sign: Current transit Saturn sign index. If None, uses natal Saturn. - """ - moon_sign = chart.planets["Moon"].sign_index - - if transit_saturn_sign is None: - # Use natal Saturn for basic check - saturn_sign = chart.planets["Saturn"].sign_index - else: - saturn_sign = transit_saturn_sign - - sadesati_signs = { - (moon_sign - 1) % 12, # 12th from Moon - moon_sign, # 1st (over Moon) - (moon_sign + 1) % 12, # 2nd from Moon - } - - if saturn_sign in sadesati_signs: - # Determine phase - if saturn_sign == (moon_sign - 1) % 12: - phase = "Rising (12th from Moon) — beginning phase" - elif saturn_sign == moon_sign: - phase = "Peak (over Moon) — most intense phase" - else: - phase = "Setting (2nd from Moon) — concluding phase" - - return DoshaResult( - name="Sadesati", - name_hindi="साढ़ेसाती", - is_present=True, - severity="full", - planets_involved=["Saturn", "Moon"], - houses_involved=[chart.planets["Moon"].house], - description=f"Saturn in {SIGNS[saturn_sign]} — {phase}", - cancellation_reasons=[], - ) - - return DoshaResult( - name="Sadesati", - name_hindi="साढ़ेसाती", - is_present=False, - severity="none", - planets_involved=["Saturn", "Moon"], - houses_involved=[], - description="Saturn not transiting 12th/1st/2nd from Moon — no Sadesati", - cancellation_reasons=[], - ) - - -def detect_pitra_dosha(chart: ChartData) -> DoshaResult: - """Detect Pitra Dosha — Sun conjunct Rahu, or 9th lord afflicted.""" - sun = chart.planets["Sun"] - rahu = chart.planets["Rahu"] - ketu = chart.planets["Ketu"] - saturn = chart.planets["Saturn"] - - reasons = [] - - # Condition 1: Sun conjunct Rahu - if sun.sign_index == rahu.sign_index: - reasons.append("Sun conjunct Rahu (Grahan Yoga on Sun)") - - # Condition 2: Sun conjunct Ketu - if sun.sign_index == ketu.sign_index: - reasons.append("Sun conjunct Ketu") - - # Condition 3: 9th lord afflicted by Rahu/Ketu/Saturn - lord_9 = SIGN_LORDS[(chart.lagna_sign_index + 8) % 12] - p9 = chart.planets.get(lord_9) - if p9: - if p9.sign_index == rahu.sign_index: - reasons.append(f"9th lord ({lord_9}) conjunct Rahu") - if p9.sign_index == ketu.sign_index: - reasons.append(f"9th lord ({lord_9}) conjunct Ketu") - if p9.sign_index == saturn.sign_index and lord_9 != "Saturn": - reasons.append(f"9th lord ({lord_9}) conjunct Saturn") - - if reasons: - return DoshaResult( - name="Pitra Dosha", - name_hindi="पितृ दोष", - is_present=True, - severity="full" if len(reasons) >= 2 else "partial", - planets_involved=["Sun", "Rahu", lord_9], - houses_involved=[sun.house, 9], - description="; ".join(reasons), - cancellation_reasons=[], - ) - - return DoshaResult( - name="Pitra Dosha", - name_hindi="पितृ दोष", - is_present=False, - severity="none", - planets_involved=["Sun"], - houses_involved=[9], - description="No Pitra Dosha indicators found", - cancellation_reasons=[], - ) - - def detect_all_doshas(chart: ChartData) -> list[DoshaResult]: """Detect all doshas — 10 checks from BPHS, Phaladeepika.""" from daivai_engine.compute.dosha_extended import detect_extended_doshas diff --git a/engine/src/daivai_engine/compute/dosha_sadesati_pitra.py b/engine/src/daivai_engine/compute/dosha_sadesati_pitra.py new file mode 100644 index 0000000..099ca8b --- /dev/null +++ b/engine/src/daivai_engine/compute/dosha_sadesati_pitra.py @@ -0,0 +1,115 @@ +"""Dosha detection — Sadesati and Pitra dosha. + +Source: BPHS, Phaladeepika, traditional Jyotish. +""" + +from __future__ import annotations + +from daivai_engine.constants import SIGN_LORDS, SIGNS +from daivai_engine.models.chart import ChartData +from daivai_engine.models.dosha import DoshaResult + + +def detect_sadesati(chart: ChartData, transit_saturn_sign: int | None = None) -> DoshaResult: + """Detect Sadesati — Saturn transiting 12th/1st/2nd from Moon sign. + + Args: + chart: Natal chart + transit_saturn_sign: Current transit Saturn sign index. If None, uses natal Saturn. + """ + moon_sign = chart.planets["Moon"].sign_index + + if transit_saturn_sign is None: + # Use natal Saturn for basic check + saturn_sign = chart.planets["Saturn"].sign_index + else: + saturn_sign = transit_saturn_sign + + sadesati_signs = { + (moon_sign - 1) % 12, # 12th from Moon + moon_sign, # 1st (over Moon) + (moon_sign + 1) % 12, # 2nd from Moon + } + + if saturn_sign in sadesati_signs: + # Determine phase + if saturn_sign == (moon_sign - 1) % 12: + phase = "Rising (12th from Moon) — beginning phase" + elif saturn_sign == moon_sign: + phase = "Peak (over Moon) — most intense phase" + else: + phase = "Setting (2nd from Moon) — concluding phase" + + return DoshaResult( + name="Sadesati", + name_hindi="साढ़ेसाती", + is_present=True, + severity="full", + planets_involved=["Saturn", "Moon"], + houses_involved=[chart.planets["Moon"].house], + description=f"Saturn in {SIGNS[saturn_sign]} — {phase}", + cancellation_reasons=[], + ) + + return DoshaResult( + name="Sadesati", + name_hindi="साढ़ेसाती", + is_present=False, + severity="none", + planets_involved=["Saturn", "Moon"], + houses_involved=[], + description="Saturn not transiting 12th/1st/2nd from Moon — no Sadesati", + cancellation_reasons=[], + ) + + +def detect_pitra_dosha(chart: ChartData) -> DoshaResult: + """Detect Pitra Dosha — Sun conjunct Rahu, or 9th lord afflicted.""" + sun = chart.planets["Sun"] + rahu = chart.planets["Rahu"] + ketu = chart.planets["Ketu"] + saturn = chart.planets["Saturn"] + + reasons = [] + + # Condition 1: Sun conjunct Rahu + if sun.sign_index == rahu.sign_index: + reasons.append("Sun conjunct Rahu (Grahan Yoga on Sun)") + + # Condition 2: Sun conjunct Ketu + if sun.sign_index == ketu.sign_index: + reasons.append("Sun conjunct Ketu") + + # Condition 3: 9th lord afflicted by Rahu/Ketu/Saturn + lord_9 = SIGN_LORDS[(chart.lagna_sign_index + 8) % 12] + p9 = chart.planets.get(lord_9) + if p9: + if p9.sign_index == rahu.sign_index: + reasons.append(f"9th lord ({lord_9}) conjunct Rahu") + if p9.sign_index == ketu.sign_index: + reasons.append(f"9th lord ({lord_9}) conjunct Ketu") + if p9.sign_index == saturn.sign_index and lord_9 != "Saturn": + reasons.append(f"9th lord ({lord_9}) conjunct Saturn") + + if reasons: + return DoshaResult( + name="Pitra Dosha", + name_hindi="पितृ दोष", + is_present=True, + severity="full" if len(reasons) >= 2 else "partial", + planets_involved=["Sun", "Rahu", lord_9], + houses_involved=[sun.house, 9], + description="; ".join(reasons), + cancellation_reasons=[], + ) + + return DoshaResult( + name="Pitra Dosha", + name_hindi="पितृ दोष", + is_present=False, + severity="none", + planets_involved=["Sun"], + houses_involved=[9], + description="No Pitra Dosha indicators found", + cancellation_reasons=[], + ) diff --git a/engine/src/daivai_engine/compute/family_gemstone_synergy.py b/engine/src/daivai_engine/compute/family_gemstone_synergy.py new file mode 100644 index 0000000..4b3e1b3 --- /dev/null +++ b/engine/src/daivai_engine/compute/family_gemstone_synergy.py @@ -0,0 +1,204 @@ +"""Family gemstone synergy — cross-chart gemstone analysis. + +Computes per-member gemstone profiles (including Rahu/Ketu rashyadhipati +resolution and conjunction penalties) and detects cross-member synergy +patterns like karmic complementarity ("जो एक के लिए विष, दूसरे के लिए अमृत"). + +Source: Traditional Pandit Ji family consultation wisdom, systematised +for DaivAI Family Bond Kundali. +""" + +from __future__ import annotations + +from daivai_engine.compute.conjunction_penalty import compute_conjunction_penalty +from daivai_engine.compute.functional_nature import get_shadow_planet_nature +from daivai_engine.compute.gem_therapy_core import compute_gem_recommendation +from daivai_engine.models.chart import ChartData +from daivai_engine.models.family_bond import ( + ConjunctionPenalty, + FamilyGemSynergyResult, + FamilyMemberGemProfile, + GemSynergyPair, +) +from daivai_engine.models.functional_nature import ShadowPlanetNature + + +def compute_family_gem_synergy(charts: list[ChartData]) -> FamilyGemSynergyResult: + """Analyse gemstone recommendations across family members. + + For each member: + 1. Run standard gem_therapy recommendation (lordship-based). + 2. Resolve Rahu/Ketu via rashyadhipati (sign lord functional nature). + 3. Compute conjunction penalties for recommended planets. + + Cross-member: + 4. Detect karmic complementarity (A's prohibited = B's recommended). + 5. Find family-safe stones (recommended or safe for ALL members). + + Args: + charts: List of computed birth charts for family members. + + Returns: + FamilyGemSynergyResult with per-member profiles and synergy pairs. + """ + members: list[FamilyMemberGemProfile] = [] + for chart in charts: + profile = _build_member_profile(chart) + members.append(profile) + + synergy_pairs = _find_synergy_pairs(members) + family_safe = _find_family_safe_stones(members) + + summary = _build_summary(members, synergy_pairs, family_safe) + + return FamilyGemSynergyResult( + members=members, + synergy_pairs=synergy_pairs, + family_safe_stones=family_safe, + summary=summary, + ) + + +def _build_member_profile(chart: ChartData) -> FamilyMemberGemProfile: + """Build complete gemstone profile for one family member.""" + recs = compute_gem_recommendation(chart) + + recommended: list[str] = [] + prohibited: list[str] = [] + test_with_caution: list[str] = [] + + for rec in recs: + if rec.status == "recommended": + recommended.append(rec.stone_name) + elif rec.status == "prohibited": + prohibited.append(rec.stone_name) + elif rec.status == "test_with_caution": + test_with_caution.append(rec.stone_name) + + # Rashyadhipati for Rahu/Ketu + rahu_gem: ShadowPlanetNature | None = None + ketu_gem: ShadowPlanetNature | None = None + if "Rahu" in chart.planets: + rahu_gem = get_shadow_planet_nature("Rahu", chart) + if "Ketu" in chart.planets: + ketu_gem = get_shadow_planet_nature("Ketu", chart) + + # Conjunction penalties for recommended stones' planets + penalties: list[ConjunctionPenalty] = [] + for rec in recs: + if rec.status == "recommended": + penalty = compute_conjunction_penalty(chart, rec.planet) + if penalty.has_penalty: + penalties.append(penalty) + + return FamilyMemberGemProfile( + name=chart.name, + lagna_sign=chart.lagna_sign, + recommended=recommended, + prohibited=prohibited, + test_with_caution=test_with_caution, + rahu_gem=rahu_gem, + ketu_gem=ketu_gem, + conjunction_penalties=penalties, + ) + + +def _find_synergy_pairs(members: list[FamilyMemberGemProfile]) -> list[GemSynergyPair]: + """Detect cross-member gemstone relationships.""" + pairs: list[GemSynergyPair] = [] + for i, ma in enumerate(members): + for mb in members[i + 1 :]: + # Karmic complement: A's prohibited = B's recommended + for stone in ma.prohibited: + if stone in mb.recommended: + pairs.append( + GemSynergyPair( + person_a=ma.name, + person_b=mb.name, + stone=stone, + planet=_stone_to_planet(stone), + relationship="karmic_complement", + description=( + f"{stone} is prohibited for {ma.name} but recommended for " + f"{mb.name} — जो एक के लिए विष, दूसरे के लिए अमृत" + ), + ) + ) + # Reverse direction + for stone in mb.prohibited: + if stone in ma.recommended: + pairs.append( + GemSynergyPair( + person_a=mb.name, + person_b=ma.name, + stone=stone, + planet=_stone_to_planet(stone), + relationship="karmic_complement", + description=( + f"{stone} is prohibited for {mb.name} but recommended for " + f"{ma.name} — जो एक के लिए विष, दूसरे के लिए अमृत" + ), + ) + ) + # Shared recommendation + shared = set(ma.recommended) & set(mb.recommended) + for stone in shared: + pairs.append( + GemSynergyPair( + person_a=ma.name, + person_b=mb.name, + stone=stone, + planet=_stone_to_planet(stone), + relationship="shared_recommend", + description=f"{stone} is recommended for both {ma.name} and {mb.name}.", + ) + ) + return pairs + + +_STONE_TO_PLANET = { + "Ruby (Manikya)": "Sun", + "Pearl (Moti)": "Moon", + "Red Coral (Moonga)": "Mars", + "Emerald (Panna)": "Mercury", + "Yellow Sapphire (Pukhraj)": "Jupiter", + "Diamond (Heera)": "Venus", + "Blue Sapphire (Neelam)": "Saturn", + "Hessonite (Gomed)": "Rahu", + "Cat's Eye (Lehsunia)": "Ketu", +} + + +def _stone_to_planet(stone: str) -> str: + """Map stone name to planet name.""" + return _STONE_TO_PLANET.get(stone, "Unknown") + + +def _find_family_safe_stones(members: list[FamilyMemberGemProfile]) -> list[str]: + """Find stones that are recommended or safe for ALL family members.""" + if not members: + return [] + safe_sets = [] + for m in members: + safe = set(m.recommended) | set(m.test_with_caution) + safe_sets.append(safe) + return ( + sorted(safe_sets[0].intersection(*safe_sets[1:])) + if len(safe_sets) > 1 + else sorted(safe_sets[0]) + ) + + +def _build_summary( + members: list[FamilyMemberGemProfile], + synergy_pairs: list[GemSynergyPair], + family_safe: list[str], +) -> str: + """Build a one-paragraph summary.""" + complements = [p for p in synergy_pairs if p.relationship == "karmic_complement"] + parts = [f"Family of {len(members)} members analysed."] + if complements: + parts.append(f"{len(complements)} karmic complement(s) found.") + if family_safe: + parts.append(f"Family-safe stones: {', '.join(family_safe)}.") + return " ".join(parts) diff --git a/engine/src/daivai_engine/compute/functional_nature.py b/engine/src/daivai_engine/compute/functional_nature.py new file mode 100644 index 0000000..ad457ab --- /dev/null +++ b/engine/src/daivai_engine/compute/functional_nature.py @@ -0,0 +1,177 @@ +"""Functional nature classification of planets per lagna. + +Resolves the functional benefic/malefic/yogakaraka/maraka status of any planet +for a given lagna, and extends this to shadow planets (Rahu/Ketu) via their +sign lord (rashyadhipati principle). + +Source: BPHS lordship principles — Kendra/Trikona lords gain beneficence, +Dusthana lords are malefic, Yogakaraka owns both kendra and trikona. +""" + +from __future__ import annotations + +from typing import Any + +from daivai_engine.constants.houses import DUSTHANAS +from daivai_engine.constants.signs import SIGN_LORDS, SIGNS, SIGNS_EN +from daivai_engine.knowledge.loader import load_lordship_rules +from daivai_engine.models.chart import ChartData +from daivai_engine.models.functional_nature import FunctionalNature, ShadowPlanetNature + + +_SHADOW_STONE = { + "Rahu": "Hessonite (Gomed)", + "Ketu": "Cat's Eye (Lehsunia)", +} + +# Lordship YAML keys are lowercase Sanskrit: mesha, vrishabha, mithuna, ... +# Accept both English ("Gemini") and Vedic ("Mithuna") sign names. +_SIGN_TO_YAML_KEY: dict[str, str] = {} +for _i, (_vedic, _en) in enumerate(zip(SIGNS, SIGNS_EN, strict=True)): + _key = _vedic.lower() + _SIGN_TO_YAML_KEY[_vedic] = _key # "Mithuna" → "mithuna" + _SIGN_TO_YAML_KEY[_en] = _key # "Gemini" → "mithuna" + _SIGN_TO_YAML_KEY[_key] = _key # "mithuna" → "mithuna" + _SIGN_TO_YAML_KEY[_en.lower()] = _key # "gemini" → "mithuna" + + +def get_functional_nature(planet: str, lagna_sign: str) -> FunctionalNature: + """Look up functional classification of a planet for the given lagna. + + Searches yogakaraka, functional_benefics, functional_malefics, and maraka + lists in lordship_rules.yaml. Returns a structured classification. + + Args: + planet: Classical planet name (Sun, Moon, Mars, Mercury, Jupiter, Venus, Saturn). + lagna_sign: Lagna sign in English (e.g., "Gemini", "Scorpio"). + + Returns: + FunctionalNature with classification, houses_owned, and reasoning. + """ + lordship = load_lordship_rules() + lagna_key = _SIGN_TO_YAML_KEY.get(lagna_sign, lagna_sign.lower()) + lagna_data: dict[str, Any] = lordship.get("lagnas", {}).get(lagna_key, {}) + + # Check yogakaraka + yogakaraka = lagna_data.get("yogakaraka", {}) + if yogakaraka.get("planet") == planet: + houses = _find_houses(planet, lagna_data) + return FunctionalNature( + planet=planet, + lagna_sign=lagna_sign, + classification="yogakaraka", + houses_owned=houses, + reasoning=yogakaraka.get("reasoning", "").strip(), + is_yogakaraka=True, + is_maraka=_is_maraka(planet, lagna_data), + ) + + # Check functional benefics + for entry in lagna_data.get("functional_benefics", []): + if entry.get("planet") == planet: + return FunctionalNature( + planet=planet, + lagna_sign=lagna_sign, + classification="benefic", + houses_owned=entry.get("houses_owned", []), + reasoning=entry.get("reasoning", "").strip(), + is_maraka=_is_maraka(planet, lagna_data), + ) + + # Check functional malefics + for entry in lagna_data.get("functional_malefics", []): + if entry.get("planet") == planet: + return FunctionalNature( + planet=planet, + lagna_sign=lagna_sign, + classification="malefic", + houses_owned=entry.get("houses_owned", []), + reasoning=entry.get("reasoning", "").strip(), + is_maraka=_is_maraka(planet, lagna_data), + ) + + # Not found — neutral + houses = _find_houses(planet, lagna_data) + return FunctionalNature( + planet=planet, + lagna_sign=lagna_sign, + classification="neutral", + houses_owned=houses, + reasoning=f"{planet} is not classified as benefic or malefic for {lagna_sign} lagna.", + is_maraka=_is_maraka(planet, lagna_data), + ) + + +def get_shadow_planet_nature(shadow_planet: str, chart: ChartData) -> ShadowPlanetNature: + """Resolve Rahu/Ketu functional nature via sign lord (rashyadhipati). + + BPHS: "छाया ग्रह जिस राशि में हो, उस राशि के स्वामी का फल देता है" + — Shadow planets give results of the lord of the sign they occupy. + + Algorithm: + 1. Get shadow planet's sign_index from chart. + 2. Look up classical sign lord via SIGN_LORDS. + 3. Get that lord's functional nature for this lagna. + 4. Classify gemstone safety based on nature + dusthana involvement. + + Args: + shadow_planet: "Rahu" or "Ketu". + chart: Computed birth chart. + + Returns: + ShadowPlanetNature with sign lord, functional nature, and gemstone safety. + """ + planet_data = chart.planets[shadow_planet] + sign_idx = planet_data.sign_index + sign_lord = SIGN_LORDS[sign_idx] + sign_name = SIGNS[sign_idx] + + nature = get_functional_nature(sign_lord, chart.lagna_sign) + safety = _classify_gemstone_safety(nature) + stone = _SHADOW_STONE.get(shadow_planet, "") + + reasoning = ( + f"{shadow_planet} in {sign_name} → sign lord = {sign_lord} " + f"→ {sign_lord} is {nature.classification} ({nature.houses_owned}) " + f"for {chart.lagna_sign} lagna → {stone} is {safety}." + ) + + return ShadowPlanetNature( + shadow_planet=shadow_planet, + sign_index=sign_idx, + sign_name=sign_name, + sign_lord=sign_lord, + sign_lord_nature=nature, + gemstone_safety=safety, + gemstone_name=stone, + reasoning=reasoning, + ) + + +def _classify_gemstone_safety(nature: FunctionalNature) -> str: + """Map functional nature to gemstone safety level. + + Conservative approach for stones — even benefic planets with dusthana + involvement get 'test_with_caution' because the stone amplifies all + house significations, including the dusthana. + """ + if nature.classification == "yogakaraka": + return "safe" + if nature.classification == "benefic": + has_dusthana = any(h in DUSTHANAS for h in nature.houses_owned) + return "test_with_caution" if has_dusthana else "safe" + if nature.classification in ("malefic", "maraka"): + return "unsafe" + # neutral + return "test_with_caution" + + +def _is_maraka(planet: str, lagna_data: dict[str, Any]) -> bool: + """Check if planet appears in the maraka list for this lagna.""" + return any(m.get("planet") == planet for m in lagna_data.get("maraka", [])) + + +def _find_houses(planet: str, lagna_data: dict[str, Any]) -> list[int]: + """Find all houses owned by a planet from the house_lords mapping.""" + house_lords: dict[str, str] = lagna_data.get("house_lords", {}) + return [int(h) for h, lord in house_lords.items() if lord == planet] diff --git a/engine/src/daivai_engine/compute/gem_therapy_core.py b/engine/src/daivai_engine/compute/gem_therapy_core.py index 5c5d31c..0bb7962 100644 --- a/engine/src/daivai_engine/compute/gem_therapy_core.py +++ b/engine/src/daivai_engine/compute/gem_therapy_core.py @@ -4,6 +4,7 @@ from typing import Any +from daivai_engine.compute.functional_nature import get_shadow_planet_nature from daivai_engine.compute.gem_therapy_utils import ( _ACTIVATION_MANTRA_COUNT, _ACTIVATION_STEPS, @@ -120,11 +121,45 @@ def compute_gem_recommendation(chart: ChartData) -> list[GemTherapyRecommendatio ) ) + # Rashyadhipati: resolve Rahu/Ketu via sign lord's functional nature. + # lordship_rules.yaml has no Rahu/Ketu entries, so they default to "neutral". + # BPHS: shadow planets give results of the lord of the sign they occupy. + results = _resolve_shadow_planets(results, chart) + order = {"recommended": 0, "test_with_caution": 1, "neutral": 2, "prohibited": 3} results.sort(key=lambda r: order.get(r.status, 9)) return results +_SAFETY_TO_STATUS = { + "safe": "recommended", + "test_with_caution": "test_with_caution", + "unsafe": "prohibited", +} + + +def _resolve_shadow_planets( + results: list[GemTherapyRecommendation], chart: ChartData +) -> list[GemTherapyRecommendation]: + """Override neutral Rahu/Ketu recommendations using rashyadhipati analysis.""" + resolved: list[GemTherapyRecommendation] = [] + for rec in results: + if rec.planet in ("Rahu", "Ketu") and rec.status == "neutral": + shadow = get_shadow_planet_nature(rec.planet, chart) + new_status = _SAFETY_TO_STATUS.get(shadow.gemstone_safety, "neutral") + resolved.append( + rec.model_copy( + update={ + "status": new_status, + "lordship_reason": shadow.reasoning, + } + ) + ) + else: + resolved.append(rec) + return resolved + + def _build_quality(stone_name: str, quality_data: dict[str, Any]) -> GemQualitySpec | None: """Build GemQualitySpec from gem_therapy_rules.yaml quality_parameters.""" q = quality_data.get(stone_name) diff --git a/engine/src/daivai_engine/compute/mantra.py b/engine/src/daivai_engine/compute/mantra.py index af9327e..46c5e77 100644 --- a/engine/src/daivai_engine/compute/mantra.py +++ b/engine/src/daivai_engine/compute/mantra.py @@ -11,6 +11,8 @@ from __future__ import annotations +from typing import cast + from daivai_engine.constants import PLANETS_HI, SIGN_LORDS from daivai_engine.knowledge.loader import load_mantra_rules from daivai_engine.models.chart import ChartData @@ -121,7 +123,7 @@ def get_nakshatra_mantra_by_number(number: int) -> NakshatraMantra | None: def _with_reason(rec: MantraRecommendation, reason: str) -> MantraRecommendation: """Return a copy of MantraRecommendation with a specific reason set.""" - return rec.model_copy(update={"reason": reason}) + return cast(MantraRecommendation, rec.model_copy(update={"reason": reason})) def compute_remedy_mantras(chart: ChartData) -> list[MantraRecommendation]: diff --git a/engine/src/daivai_engine/compute/medical_disease.py b/engine/src/daivai_engine/compute/medical_disease.py index 21069e0..0a23304 100644 --- a/engine/src/daivai_engine/compute/medical_disease.py +++ b/engine/src/daivai_engine/compute/medical_disease.py @@ -3,9 +3,8 @@ Implements 13 classical disease-indicating planetary combinations from BPHS Ch.68-70, Saravali Ch.6, and Phaladeepika Ch.6. -Split into two helper functions for manageable file size: - _detect_disease_yogas_part1: Yogas 1-6 (Sun, Moon, Mars, Saturn, Rahu, Lagnesh) - _detect_disease_yogas_part2: Yogas 7-13 (Both luminaries through Ketu) +Part 1 (yogas 1-6) lives here; Part 2 (yogas 7-13) is in +medical_disease_part2.py. """ from __future__ import annotations @@ -16,7 +15,9 @@ _lagnesh, _load_rules, _natural_malefics, - _sixth_lord, +) +from daivai_engine.compute.medical_disease_part2 import ( + _detect_disease_yogas_part2, ) from daivai_engine.models.chart import ChartData from daivai_engine.models.medical import DiseaseYoga @@ -34,7 +35,7 @@ def _detect_disease_yogas_part1( saturn = chart.planets["Saturn"] rahu = chart.planets["Rahu"] - # ── 1. Sun Afflicted in Dusthana ───────────────────────── + # -- 1. Sun Afflicted in Dusthana ----------------------------------------- m = meta_by_name["Sun Afflicted in Dusthana"] sun_in_dusthana = sun.house in _DUSTHANAS sun_afflicted = _is_afflicted_by_malefic(chart, "Sun") @@ -58,7 +59,7 @@ def _detect_disease_yogas_part1( ) ) - # ── 2. Moon Afflicted in Dusthana ──────────────────────── + # -- 2. Moon Afflicted in Dusthana ---------------------------------------- m = meta_by_name["Moon Afflicted in Dusthana"] moon_in_dusthana = moon.house in {6, 8} moon_afflicted = _is_afflicted_by_malefic(chart, "Moon") @@ -82,7 +83,7 @@ def _detect_disease_yogas_part1( ) ) - # ── 3. Mars in 6th or 8th ──────────────────────────────── + # -- 3. Mars in 6th or 8th ------------------------------------------------ m = meta_by_name["Mars in 6th or 8th"] is_present = mars.house in {6, 8} yogas.append( @@ -104,7 +105,7 @@ def _detect_disease_yogas_part1( ) ) - # ── 4. Saturn in Dusthana ──────────────────────────────── + # -- 4. Saturn in Dusthana ------------------------------------------------ m = meta_by_name["Saturn in Dusthana"] is_present = saturn.house in _DUSTHANAS severity = "high" if saturn.house == 8 else ("moderate" if is_present else "none") @@ -127,7 +128,7 @@ def _detect_disease_yogas_part1( ) ) - # ── 5. Rahu in 6th or 8th ──────────────────────────────── + # -- 5. Rahu in 6th or 8th ------------------------------------------------ m = meta_by_name["Rahu in 6th or 8th"] is_present = rahu.house in {6, 8} yogas.append( @@ -149,7 +150,7 @@ def _detect_disease_yogas_part1( ) ) - # ── 6. Lagna Lord in Dusthana ──────────────────────────── + # -- 6. Lagna Lord in Dusthana -------------------------------------------- m = meta_by_name["Lagna Lord in Dusthana"] lagnesh_name = _lagnesh(chart) lagnesh = chart.planets[lagnesh_name] @@ -176,194 +177,6 @@ def _detect_disease_yogas_part1( return yogas -def _detect_disease_yogas_part2( - chart: ChartData, meta_by_name: dict, malefics: set[str] -) -> list[DiseaseYoga]: - """Detect disease yogas 7-13: Both luminaries through Ketu.""" - yogas: list[DiseaseYoga] = [] - - sun = chart.planets["Sun"] - moon = chart.planets["Moon"] - jupiter = chart.planets["Jupiter"] - mercury = chart.planets["Mercury"] - venus = chart.planets["Venus"] - mars = chart.planets["Mars"] - saturn = chart.planets["Saturn"] - ketu = chart.planets["Ketu"] - - # ── 7. Both Luminaries Afflicted ───────────────────────── - m = meta_by_name["Both Luminaries Afflicted"] - sun_aff = _is_afflicted_by_malefic(chart, "Sun") - moon_aff = _is_afflicted_by_malefic(chart, "Moon") - is_present = sun_aff and moon_aff - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="high" if is_present else "none", - planets_involved=["Sun", "Moon"], - houses_involved=[sun.house, moon.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - "Both Sun and Moon afflicted by malefics — severe systemic disease risk" - if is_present - else "Not both luminaries afflicted" - ), - source=m["source"], - ) - ) - - # ── 8. Jupiter Afflicted in 8th ────────────────────────── - m = meta_by_name["Jupiter Afflicted in 8th"] - jup_in_8 = jupiter.house == 8 - jup_debilitated = jupiter.dignity == "debilitated" - jup_afflicted = _is_afflicted_by_malefic(chart, "Jupiter") - is_present = jup_in_8 and (jup_debilitated or jup_afflicted) - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="moderate" if is_present else "none", - planets_involved=["Jupiter"], - houses_involved=[jupiter.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - f"Jupiter in 8th house, {'debilitated' if jup_debilitated else 'afflicted'} — liver risk" - if is_present - else f"Jupiter in {jupiter.house}th — no liver disease yoga" - ), - source=m["source"], - ) - ) - - # ── 9. Mercury Heavily Afflicted ───────────────────────── - m = meta_by_name["Mercury Heavily Afflicted"] - merc_malefic_conjuncts = [ - p - for p in malefics - if p != "Mercury" - and chart.planets.get(p) is not None - and chart.planets[p].sign_index == mercury.sign_index - ] - is_present = len(merc_malefic_conjuncts) >= 2 - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="low" if is_present else "none", - planets_involved=["Mercury", *merc_malefic_conjuncts], - houses_involved=[mercury.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - f"Mercury conjunct {', '.join(merc_malefic_conjuncts)} — nervous/skin/respiratory risk" - if is_present - else f"Mercury not heavily afflicted (conjuncts: {merc_malefic_conjuncts})" - ), - source=m["source"], - ) - ) - - # ── 10. Venus in 6th or 8th ────────────────────────────── - m = meta_by_name["Venus in 6th or 8th"] - is_present = venus.house in {6, 8} - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="low" if is_present else "none", - planets_involved=["Venus"], - houses_involved=[venus.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - f"Venus in {venus.house}th house — kidney/reproductive risk" - if is_present - else f"Venus in {venus.house}th — no kidney yoga" - ), - source=m["source"], - ) - ) - - # ── 11. 6th Lord in 8th or 12th ────────────────────────── - m = meta_by_name["6th Lord in 8th or 12th"] - sixth_lord_name = _sixth_lord(chart) - sixth_lord = chart.planets[sixth_lord_name] - is_present = sixth_lord.house in {8, 12} - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="moderate" if is_present else "none", - planets_involved=[sixth_lord_name], - houses_involved=[sixth_lord.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - f"6th lord {sixth_lord_name} in {sixth_lord.house}th — disease→hospitalization path" - if is_present - else f"6th lord {sixth_lord_name} in {sixth_lord.house}th — favorable" - ), - source=m["source"], - ) - ) - - # ── 12. Mars-Saturn Conjunction in Dusthana ─────────────── - m = meta_by_name["Mars-Saturn Conjunction in Dusthana"] - mars_saturn_same_sign = mars.sign_index == saturn.sign_index - in_dusthana_sign = mars.house in _DUSTHANAS - is_present = mars_saturn_same_sign and in_dusthana_sign - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="high" if is_present else "none", - planets_involved=["Mars", "Saturn"], - houses_involved=[mars.house] if is_present else [mars.house, saturn.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - f"Mars and Saturn conjunct in {mars.house}th house — surgical emergency risk" - if is_present - else "Mars and Saturn not conjunct in dusthana" - ), - source=m["source"], - ) - ) - - # ── 13. Ketu in 6th or 8th ─────────────────────────────── - m = meta_by_name["Ketu in 6th or 8th"] - is_present = ketu.house in {6, 8} - yogas.append( - DiseaseYoga( - name=m["name"], - name_hindi=m["name_hindi"], - is_present=is_present, - severity="moderate" if is_present else "none", - planets_involved=["Ketu"], - houses_involved=[ketu.house], - body_system_affected=m["body_system_affected"], - disease_indicated=m["disease_indicated"], - description=( - f"Ketu in {ketu.house}th house — mysterious ailments / inflammation risk" - if is_present - else f"Ketu in {ketu.house}th — no yoga" - ), - source=m["source"], - ) - ) - - return yogas - - def detect_disease_yogas(chart: ChartData) -> list[DiseaseYoga]: """Detect classical disease-indicating planetary combinations from a birth chart. diff --git a/engine/src/daivai_engine/compute/medical_disease_part2.py b/engine/src/daivai_engine/compute/medical_disease_part2.py new file mode 100644 index 0000000..6b5dc52 --- /dev/null +++ b/engine/src/daivai_engine/compute/medical_disease_part2.py @@ -0,0 +1,206 @@ +"""Medical Astrology — disease yogas 7-13 (Jupiter through Ketu). + +Covers: Both Luminaries Afflicted, Jupiter Afflicted in 8th, +Mercury Heavily Afflicted, Venus in 6th/8th, 6th Lord in 8th/12th, +Mars-Saturn Conjunction in Dusthana, Ketu in 6th/8th. + +Source: BPHS Ch.68-70, Saravali Ch.6, Phaladeepika Ch.6. +""" + +from __future__ import annotations + +from daivai_engine.compute.medical_body import ( + _DUSTHANAS, + _is_afflicted_by_malefic, + _sixth_lord, +) +from daivai_engine.models.chart import ChartData +from daivai_engine.models.medical import DiseaseYoga + + +def _detect_disease_yogas_part2( + chart: ChartData, meta_by_name: dict, malefics: set[str] +) -> list[DiseaseYoga]: + """Detect disease yogas 7-13: Both luminaries through Ketu.""" + yogas: list[DiseaseYoga] = [] + + sun = chart.planets["Sun"] + moon = chart.planets["Moon"] + jupiter = chart.planets["Jupiter"] + mercury = chart.planets["Mercury"] + venus = chart.planets["Venus"] + mars = chart.planets["Mars"] + saturn = chart.planets["Saturn"] + ketu = chart.planets["Ketu"] + + # -- 7. Both Luminaries Afflicted ----------------------------------------- + m = meta_by_name["Both Luminaries Afflicted"] + sun_aff = _is_afflicted_by_malefic(chart, "Sun") + moon_aff = _is_afflicted_by_malefic(chart, "Moon") + is_present = sun_aff and moon_aff + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="high" if is_present else "none", + planets_involved=["Sun", "Moon"], + houses_involved=[sun.house, moon.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + "Both Sun and Moon afflicted by malefics — severe systemic disease risk" + if is_present + else "Not both luminaries afflicted" + ), + source=m["source"], + ) + ) + + # -- 8. Jupiter Afflicted in 8th ------------------------------------------ + m = meta_by_name["Jupiter Afflicted in 8th"] + jup_in_8 = jupiter.house == 8 + jup_debilitated = jupiter.dignity == "debilitated" + jup_afflicted = _is_afflicted_by_malefic(chart, "Jupiter") + is_present = jup_in_8 and (jup_debilitated or jup_afflicted) + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="moderate" if is_present else "none", + planets_involved=["Jupiter"], + houses_involved=[jupiter.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + f"Jupiter in 8th house, {'debilitated' if jup_debilitated else 'afflicted'} — liver risk" + if is_present + else f"Jupiter in {jupiter.house}th — no liver disease yoga" + ), + source=m["source"], + ) + ) + + # -- 9. Mercury Heavily Afflicted ----------------------------------------- + m = meta_by_name["Mercury Heavily Afflicted"] + merc_malefic_conjuncts = [ + p + for p in malefics + if p != "Mercury" + and chart.planets.get(p) is not None + and chart.planets[p].sign_index == mercury.sign_index + ] + is_present = len(merc_malefic_conjuncts) >= 2 + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="low" if is_present else "none", + planets_involved=["Mercury", *merc_malefic_conjuncts], + houses_involved=[mercury.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + f"Mercury conjunct {', '.join(merc_malefic_conjuncts)} — nervous/skin/respiratory risk" + if is_present + else f"Mercury not heavily afflicted (conjuncts: {merc_malefic_conjuncts})" + ), + source=m["source"], + ) + ) + + # -- 10. Venus in 6th or 8th ---------------------------------------------- + m = meta_by_name["Venus in 6th or 8th"] + is_present = venus.house in {6, 8} + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="low" if is_present else "none", + planets_involved=["Venus"], + houses_involved=[venus.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + f"Venus in {venus.house}th house — kidney/reproductive risk" + if is_present + else f"Venus in {venus.house}th — no kidney yoga" + ), + source=m["source"], + ) + ) + + # -- 11. 6th Lord in 8th or 12th ------------------------------------------ + m = meta_by_name["6th Lord in 8th or 12th"] + sixth_lord_name = _sixth_lord(chart) + sixth_lord = chart.planets[sixth_lord_name] + is_present = sixth_lord.house in {8, 12} + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="moderate" if is_present else "none", + planets_involved=[sixth_lord_name], + houses_involved=[sixth_lord.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + f"6th lord {sixth_lord_name} in {sixth_lord.house}th — disease→hospitalization path" + if is_present + else f"6th lord {sixth_lord_name} in {sixth_lord.house}th — favorable" + ), + source=m["source"], + ) + ) + + # -- 12. Mars-Saturn Conjunction in Dusthana ------------------------------ + m = meta_by_name["Mars-Saturn Conjunction in Dusthana"] + mars_saturn_same_sign = mars.sign_index == saturn.sign_index + in_dusthana_sign = mars.house in _DUSTHANAS + is_present = mars_saturn_same_sign and in_dusthana_sign + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="high" if is_present else "none", + planets_involved=["Mars", "Saturn"], + houses_involved=[mars.house] if is_present else [mars.house, saturn.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + f"Mars and Saturn conjunct in {mars.house}th house — surgical emergency risk" + if is_present + else "Mars and Saturn not conjunct in dusthana" + ), + source=m["source"], + ) + ) + + # -- 13. Ketu in 6th or 8th ----------------------------------------------- + m = meta_by_name["Ketu in 6th or 8th"] + is_present = ketu.house in {6, 8} + yogas.append( + DiseaseYoga( + name=m["name"], + name_hindi=m["name_hindi"], + is_present=is_present, + severity="moderate" if is_present else "none", + planets_involved=["Ketu"], + houses_involved=[ketu.house], + body_system_affected=m["body_system_affected"], + disease_indicated=m["disease_indicated"], + description=( + f"Ketu in {ketu.house}th house — mysterious ailments / inflammation risk" + if is_present + else f"Ketu in {ketu.house}th — no yoga" + ), + source=m["source"], + ) + ) + + return yogas diff --git a/engine/src/daivai_engine/compute/wealth_flow.py b/engine/src/daivai_engine/compute/wealth_flow.py new file mode 100644 index 0000000..15f7c08 --- /dev/null +++ b/engine/src/daivai_engine/compute/wealth_flow.py @@ -0,0 +1,124 @@ +"""Wealth flow classification — earner, accumulator, distributor, or mixed. + +Analyses the 2nd lord (stored wealth / family), 10th lord (career / karma +income), and 11th lord (gains / profit) placements to classify a native's +financial archetype. This is used in Family Bond Kundali to determine +which family member should manage finances vs. focus on income growth. + +Source: Traditional Parashari house-signification analysis. +""" + +from __future__ import annotations + +from daivai_engine.compute.chart import get_house_lord, get_planet_house +from daivai_engine.constants.houses import DUSTHANAS, KENDRAS, TRIKONAS +from daivai_engine.models.chart import ChartData +from daivai_engine.models.family_bond import WealthFlowProfile + + +# Houses where wealth lords retain or grow money +_ACCUMULATE_HOUSES = set(KENDRAS) | set(TRIKONAS) | {2, 11} + +# 12th house = vyay (expenditure) — money flows out +_FLOW_HOUSE = 12 + +# Per-factor scores (max 100 total) +_HOUSE_SCORE: dict[str, float] = { + "accumulate": 30.0, # lord in kendra/trikona/2/11 + "flow": 5.0, # lord in 12th + "dusthana": 10.0, # lord in 6/8/12 + "neutral": 18.0, # any other house +} + + +def classify_wealth_flow(chart: ChartData) -> WealthFlowProfile: + """Classify a person's financial archetype from chart indicators. + + Checks where the 2nd, 10th, and 11th lords sit and scores each + placement. High score → accumulator archetype. Low score (lords + in 12th / dusthanas) → distributor archetype. + + Args: + chart: Computed birth chart. + + Returns: + WealthFlowProfile with archetype, lord placements, score, and + descriptive text. + """ + second_lord = get_house_lord(chart, 2) + tenth_lord = get_house_lord(chart, 10) + eleventh_lord = get_house_lord(chart, 11) + + second_house = get_planet_house(chart, second_lord) + tenth_house = get_planet_house(chart, tenth_lord) + eleventh_house = get_planet_house(chart, eleventh_lord) + + placements = [ + (second_lord, second_house, "2nd"), + (tenth_lord, tenth_house, "10th"), + (eleventh_lord, eleventh_house, "11th"), + ] + + score = 0.0 + flow_count = 0 + accum_count = 0 + reasons: list[str] = [] + + for lord, house, label in placements: + if house == _FLOW_HOUSE: + score += _HOUSE_SCORE["flow"] + flow_count += 1 + reasons.append(f"{label}L ({lord}) in 12th (vyay)") + elif house in DUSTHANAS: + score += _HOUSE_SCORE["dusthana"] + reasons.append(f"{label}L ({lord}) in {house}th (dusthana)") + elif house in _ACCUMULATE_HOUSES: + score += _HOUSE_SCORE["accumulate"] + accum_count += 1 + reasons.append(f"{label}L ({lord}) in {house}th (kendra/trikona/wealth)") + else: + score += _HOUSE_SCORE["neutral"] + reasons.append(f"{label}L ({lord}) in {house}th") + + archetype = _determine_archetype(flow_count, accum_count) + description = _build_description(archetype, reasons) + + return WealthFlowProfile( + name=chart.name, + archetype=archetype, + second_lord=second_lord, + second_lord_house=second_house, + tenth_lord=tenth_lord, + tenth_lord_house=tenth_house, + eleventh_lord=eleventh_lord, + eleventh_lord_house=eleventh_house, + wealth_score=round(score, 1), + description=description, + ) + + +def _determine_archetype(flow_count: int, accum_count: int) -> str: + """Determine archetype from placement counts.""" + if flow_count >= 2: + return "distributor" + if accum_count >= 2: + return "accumulator" + if flow_count >= 1 and accum_count >= 1: + return "mixed" + if flow_count == 1: + return "distributor" + if accum_count == 1: + return "mixed" + return "mixed" + + +def _build_description(archetype: str, reasons: list[str]) -> str: + """Build a human-readable description.""" + detail = "; ".join(reasons) + labels = { + "earner": "Strong income potential — wealth comes easily but must be managed.", + "accumulator": "Natural saver — money sticks and grows over time.", + "distributor": "Wealth flows through — earns well but spends or distributes freely.", + "mixed": "Mixed wealth pattern — needs conscious financial discipline.", + } + return f"{labels.get(archetype, '')} [{detail}]" diff --git a/engine/src/daivai_engine/compute/yantra.py b/engine/src/daivai_engine/compute/yantra.py index 7f3281f..b1a38de 100644 --- a/engine/src/daivai_engine/compute/yantra.py +++ b/engine/src/daivai_engine/compute/yantra.py @@ -18,6 +18,8 @@ from __future__ import annotations +from typing import cast + from daivai_engine.constants import SIGN_LORDS from daivai_engine.knowledge.loader import load_yantra_data from daivai_engine.models.chart import ChartData @@ -134,7 +136,7 @@ def get_yantra_data(planet: str) -> YantraRecommendation | None: def _with_reason(rec: YantraRecommendation, reason: str) -> YantraRecommendation: """Return a copy of YantraRecommendation with a specific reason set.""" - return rec.model_copy(update={"reason": reason}) + return cast(YantraRecommendation, rec.model_copy(update={"reason": reason})) def compute_remedy_yantras(chart: ChartData) -> list[YantraRecommendation]: diff --git a/engine/src/daivai_engine/models/chart.py b/engine/src/daivai_engine/models/chart.py index 617fd2b..07838d5 100644 --- a/engine/src/daivai_engine/models/chart.py +++ b/engine/src/daivai_engine/models/chart.py @@ -12,7 +12,7 @@ class PlanetData(BaseModel): avastha, retrograde/combust status, and other key attributes for one graha. """ - model_config = ConfigDict(frozen=False) + model_config = ConfigDict(frozen=True) name: str name_hi: str @@ -44,7 +44,7 @@ class ChartData(BaseModel): information, and a dictionary of all planetary positions keyed by planet name. """ - model_config = ConfigDict(frozen=False) + model_config = ConfigDict(frozen=True) name: str dob: str diff --git a/engine/src/daivai_engine/models/cross_chart.py b/engine/src/daivai_engine/models/cross_chart.py new file mode 100644 index 0000000..1c93358 --- /dev/null +++ b/engine/src/daivai_engine/models/cross_chart.py @@ -0,0 +1,46 @@ +"""Domain models for cross-chart (synastry) planetary interactions.""" + +from __future__ import annotations + +from pydantic import BaseModel, ConfigDict, Field + + +class PlanetOverlay(BaseModel): + """One planet from chart_a near a position in chart_b. + + Records the degree orb, interaction type (conjunction, opposition, trine), + and the qualitative effect of this cross-chart contact. + """ + + model_config = ConfigDict(frozen=True) + + person_a_name: str + person_b_name: str + planet_a: str + planet_b: str # planet name, or "Lagna" for axis contacts + sign: str # Sign where the interaction occurs + orb_degrees: float = Field(ge=0) + interaction_type: str # "conjunction", "opposition", "trine", "square", "sextile" + effect: str # "supportive", "challenging", "karmic", "neutral" + description: str + + +class CrossChartResult(BaseModel): + """Complete cross-chart analysis between two people. + + Organises overlays by category: generic planet-on-planet overlays, + contacts to the other person's Moon (emotional influence), axis contacts + (Lagnesh-on-Moon, 7th-lord-on-Lagna), and karmic links (Saturn/Rahu + contacts that indicate deep karmic bonds). + """ + + model_config = ConfigDict(frozen=True) + + person_a: str + person_b: str + overlays: list[PlanetOverlay] = Field(default_factory=list) + moon_contacts: list[PlanetOverlay] = Field(default_factory=list) + axis_contacts: list[PlanetOverlay] = Field(default_factory=list) + karmic_links: list[PlanetOverlay] = Field(default_factory=list) + bond_strength: float = Field(ge=0, le=100) # Composite score + summary: str diff --git a/engine/src/daivai_engine/models/family_bond.py b/engine/src/daivai_engine/models/family_bond.py new file mode 100644 index 0000000..33123e8 --- /dev/null +++ b/engine/src/daivai_engine/models/family_bond.py @@ -0,0 +1,115 @@ +"""Domain models for family bond analysis: wealth flow, gemstone synergy, dasha sync.""" + +from __future__ import annotations + +from datetime import datetime + +from pydantic import BaseModel, ConfigDict, Field + +from daivai_engine.models.functional_nature import FunctionalNature, ShadowPlanetNature + + +class WealthFlowProfile(BaseModel): + """Financial archetype classification for one person. + + Based on 2nd lord (stored wealth), 10th lord (career/karma income), + and 11th lord (gains) house placements and dignities. + """ + + model_config = ConfigDict(frozen=True) + + name: str + archetype: str # "earner", "accumulator", "distributor", "mixed" + second_lord: str + second_lord_house: int = Field(ge=1, le=12) + tenth_lord: str + tenth_lord_house: int = Field(ge=1, le=12) + eleventh_lord: str + eleventh_lord_house: int = Field(ge=1, le=12) + wealth_score: float = Field(ge=0, le=100) + description: str + + +class ConjunctionPenalty(BaseModel): + """Gemstone weight penalty from planet conjuncting malefic influences. + + When a recommended planet (e.g., Lagnesh) conjuncts Rahu, 6L, 8L, or 12L, + the gemstone weight should be reduced — the stone amplifies ALL conjunct + energies, not just the target planet. Source: BV Raman, How to Judge a + Horoscope Vol.II. + """ + + model_config = ConfigDict(frozen=True) + + planet: str + has_penalty: bool + penalty_factor: float = Field(ge=0, le=1) # 1.0 = no penalty + conjunct_with: list[str] = Field(default_factory=list) + reasoning: str + + +class FamilyMemberGemProfile(BaseModel): + """Gemstone profile for one family member including shadow planet analysis.""" + + model_config = ConfigDict(frozen=True) + + name: str + lagna_sign: str + recommended: list[str] = Field(default_factory=list) # Stone names + prohibited: list[str] = Field(default_factory=list) + test_with_caution: list[str] = Field(default_factory=list) + rahu_gem: ShadowPlanetNature | None = None + ketu_gem: ShadowPlanetNature | None = None + conjunction_penalties: list[ConjunctionPenalty] = Field(default_factory=list) + + +class GemSynergyPair(BaseModel): + """A cross-member gemstone relationship. + + Karmic complementarity: one person's prohibited stone is another's + recommended stone — "जो एक के लिए विष, दूसरे के लिए अमृत". + """ + + model_config = ConfigDict(frozen=True) + + person_a: str + person_b: str + stone: str + planet: str + relationship: str # "karmic_complement", "shared_recommend", "conflict" + description: str + + +class FamilyGemSynergyResult(BaseModel): + """Cross-family gemstone analysis aggregating all members.""" + + model_config = ConfigDict(frozen=True) + + members: list[FamilyMemberGemProfile] = Field(default_factory=list) + synergy_pairs: list[GemSynergyPair] = Field(default_factory=list) + family_safe_stones: list[str] = Field(default_factory=list) + summary: str + + +class DashaSyncEntry(BaseModel): + """Dasha state for one person at a point in time.""" + + model_config = ConfigDict(frozen=True) + + name: str + current_md_lord: str + current_ad_lord: str | None = None + md_nature: FunctionalNature + md_start: datetime + md_end: datetime + + +class DashaSyncResult(BaseModel): + """Synchronized dasha view for a family.""" + + model_config = ConfigDict(frozen=True) + + entries: list[DashaSyncEntry] = Field(default_factory=list) + favorable_windows: list[str] = Field(default_factory=list) + challenging_windows: list[str] = Field(default_factory=list) + summary: str diff --git a/engine/src/daivai_engine/models/functional_nature.py b/engine/src/daivai_engine/models/functional_nature.py new file mode 100644 index 0000000..be90406 --- /dev/null +++ b/engine/src/daivai_engine/models/functional_nature.py @@ -0,0 +1,47 @@ +"""Domain models for functional nature classification of planets per lagna.""" + +from __future__ import annotations + +from pydantic import BaseModel, ConfigDict + + +class FunctionalNature(BaseModel): + """Functional classification of a planet for a specific lagna. + + Per BPHS lordship principles: Kendra/Trikona lords gain beneficence, + Dusthana lords are malefic, Maraka lords (2nd/7th) inflict death-like + events, and Yogakaraka planets own both a kendra and a trikona. + """ + + model_config = ConfigDict(frozen=True) + + planet: str + lagna_sign: str + classification: str # "benefic", "malefic", "yogakaraka", "maraka", "neutral" + houses_owned: list[int] + reasoning: str + is_maraka: bool = False + is_yogakaraka: bool = False + + +class ShadowPlanetNature(BaseModel): + """Rahu/Ketu functional nature resolved via sign lord (rashyadhipati). + + BPHS principle: "छाया ग्रह जिस राशि में हो, उस राशि के स्वामी का फल देता है" + Shadow planets give results of the lord of the sign they occupy. + + For gemstone safety: if sign lord is a functional benefic for the lagna, + Gomed (Rahu) or Lehsunia (Ketu) is safe to wear. If sign lord is a + functional malefic or maraka, the stone carries risk. + """ + + model_config = ConfigDict(frozen=True) + + shadow_planet: str # "Rahu" or "Ketu" + sign_index: int # 0-11 sign Rahu/Ketu occupies + sign_name: str # e.g., "Dhanu" + sign_lord: str # Classical lord of the sign (e.g., "Jupiter") + sign_lord_nature: FunctionalNature + gemstone_safety: str # "safe", "unsafe", "test_with_caution" + gemstone_name: str # "Hessonite (Gomed)" or "Cat's Eye (Lehsunia)" + reasoning: str diff --git a/products/pyproject.toml b/products/pyproject.toml index fbb9842..e9e9d73 100644 --- a/products/pyproject.toml +++ b/products/pyproject.toml @@ -16,7 +16,7 @@ ollama = ["ollama>=0.4.0"] claude = ["anthropic>=0.39.0"] openai = ["openai>=1.50.0"] pdf = ["reportlab>=4.0", "matplotlib>=3.8", "weasyprint>=62.0"] -all = ["jyotish-products[groq,ollama,claude,openai,pdf]"] +all = ["daivai-products[groq,ollama,claude,openai,pdf]"] [build-system] requires = ["hatchling"] diff --git a/products/src/daivai_products/interpret/factory.py b/products/src/daivai_products/interpret/factory.py index f4c4ff3..c5bda85 100644 --- a/products/src/daivai_products/interpret/factory.py +++ b/products/src/daivai_products/interpret/factory.py @@ -151,7 +151,8 @@ def generate(self, system_prompt: str, user_prompt: str, temperature: float = 0. messages=[{"role": "user", "content": user_prompt}], temperature=temperature, ) - return str(response.content[0].text) + block = response.content[0] + return block.text if hasattr(block, "text") else str(block) def name(self) -> str: """Return backend identifier.""" diff --git a/products/src/daivai_products/interpret/renderer.py b/products/src/daivai_products/interpret/renderer.py index d9afdee..e94599b 100644 --- a/products/src/daivai_products/interpret/renderer.py +++ b/products/src/daivai_products/interpret/renderer.py @@ -12,7 +12,7 @@ import logging from pathlib import Path -from typing import Any +from typing import Any, cast from jinja2 import Template @@ -44,7 +44,7 @@ def _render_prompt(template_name: str, context: dict[str, Any]) -> str: """Load and render a Jinja2 prompt template.""" raw = _load_prompt(template_name) template = Template(raw) - return template.render(**context) + return cast(str, template.render(**context)) # Keep internal alias for callers that may import the private name diff --git a/products/src/daivai_products/plugins/kundali/pdf.py b/products/src/daivai_products/plugins/kundali/pdf.py index bf0231e..9dc2d45 100644 --- a/products/src/daivai_products/plugins/kundali/pdf.py +++ b/products/src/daivai_products/plugins/kundali/pdf.py @@ -10,7 +10,7 @@ import base64 import logging from pathlib import Path -from typing import Any +from typing import Any, cast from jinja2 import Environment, FileSystemLoader @@ -57,10 +57,13 @@ def generate_html( autoescape=False, ) template = env.get_template("kundali.html") - return template.render( - standalone=standalone, - font_data_uri=font_data_uri, - **ctx, + return cast( + str, + template.render( + standalone=standalone, + font_data_uri=font_data_uri, + **ctx, + ), ) diff --git a/products/src/daivai_products/store/family.py b/products/src/daivai_products/store/family.py index 58aaef7..9dccdba 100644 --- a/products/src/daivai_products/store/family.py +++ b/products/src/daivai_products/store/family.py @@ -5,6 +5,7 @@ import json import logging from pathlib import Path +from typing import cast from daivai_engine.compute.chart import compute_chart from daivai_engine.models.chart import ChartData @@ -99,7 +100,7 @@ def load_member(name: str, family_dir: Path | None = None) -> ChartData | None: if m["name"].lower() == name.lower(): chart_path = Path(m["chart_file"]) if chart_path.exists(): - return ChartData.model_validate_json(chart_path.read_text()) + return cast(ChartData, ChartData.model_validate_json(chart_path.read_text())) return None diff --git a/pyproject.toml b/pyproject.toml index fe2b572..11eff33 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,11 @@ description = "AI-powered Vedic astrology — engine, products, and apps" requires-python = ">=3.12" license = "MIT" authors = [{name = "Manish Chaurasia"}] +dependencies = [ + "daivai-engine", + "daivai-products[all]", + "daivai-apps[all]", +] [tool.uv.workspace] members = ["engine", "products", "apps"] @@ -12,6 +17,7 @@ members = ["engine", "products", "apps"] [tool.uv.sources] daivai-engine = { workspace = true } daivai-products = { workspace = true } +daivai-apps = { workspace = true } [dependency-groups] dev = [ @@ -19,6 +25,8 @@ dev = [ "pytest-cov>=5.0", "ruff>=0.4", "mypy>=1.10", + "types-pyyaml>=6.0.12.20250915", + "types-pytz>=2026.1.1.20260304", ] # --------------------------------------------------------------------------- @@ -60,6 +68,10 @@ warn_return_any = true warn_unused_configs = true ignore_missing_imports = true +[[tool.mypy.overrides]] +module = "daivai_app.web.*" +disable_error_code = ["arg-type"] + # --------------------------------------------------------------------------- # Pytest # --------------------------------------------------------------------------- diff --git a/tests/engine/compute/test_ashtakavarga.py b/tests/engine/compute/test_ashtakavarga.py index e447a04..d219f8d 100644 --- a/tests/engine/compute/test_ashtakavarga.py +++ b/tests/engine/compute/test_ashtakavarga.py @@ -176,8 +176,8 @@ class TestMultipleCharts: ) def test_337_invariant_across_charts(self, lagna_sign, sun_sign, moon_sign): """Total must be 337 regardless of planetary positions.""" - chart = _make_chart() - chart.lagna_sign_index = lagna_sign + base = _make_chart() + chart = base.model_copy(update={"lagna_sign_index": lagna_sign}) chart.planets["Sun"] = _make_planet("Sun", sun_sign) chart.planets["Moon"] = _make_planet("Moon", moon_sign) result = compute_ashtakavarga(chart) diff --git a/tests/engine/compute/test_conjunction_penalty.py b/tests/engine/compute/test_conjunction_penalty.py new file mode 100644 index 0000000..3b6e5a5 --- /dev/null +++ b/tests/engine/compute/test_conjunction_penalty.py @@ -0,0 +1,47 @@ +"""Tests for gemstone conjunction penalty computation.""" + +from __future__ import annotations + +from daivai_engine.compute.conjunction_penalty import compute_conjunction_penalty +from daivai_engine.models.chart import ChartData + + +def test_conjunction_penalty_returns_result(manish_chart: ChartData): + """compute_conjunction_penalty returns a valid ConjunctionPenalty.""" + result = compute_conjunction_penalty(manish_chart, "Mercury") + assert result.planet == "Mercury" + assert isinstance(result.has_penalty, bool) + assert 0 <= result.penalty_factor <= 1.0 + assert isinstance(result.conjunct_with, list) + assert len(result.reasoning) > 0 + + +def test_no_penalty_when_no_malefic_conjunction(manish_chart: ChartData): + """A planet not conjunct any malefic should have penalty_factor = 1.0.""" + # Test all planets; at least some should have no penalty + no_penalty_found = False + for planet in ["Sun", "Moon", "Mars", "Mercury", "Jupiter", "Venus", "Saturn"]: + result = compute_conjunction_penalty(manish_chart, planet) + if not result.has_penalty: + assert result.penalty_factor == 1.0 + assert result.conjunct_with == [] + no_penalty_found = True + # At least one planet should have no penalty in a typical chart + assert no_penalty_found + + +def test_penalty_factor_within_bounds(manish_chart: ChartData): + """Penalty factor should be between 0.50 and 1.0.""" + for planet in ["Sun", "Moon", "Mars", "Mercury", "Jupiter", "Venus", "Saturn"]: + result = compute_conjunction_penalty(manish_chart, planet) + assert 0.50 <= result.penalty_factor <= 1.0 + + +def test_penalty_reasoning_includes_conjuncts(manish_chart: ChartData): + """When penalty exists, reasoning should mention conjunct partners.""" + for planet in ["Sun", "Moon", "Mars", "Mercury", "Jupiter", "Venus", "Saturn"]: + result = compute_conjunction_penalty(manish_chart, planet) + if result.has_penalty: + for partner in result.conjunct_with: + # Partner name or label should appear in reasoning + assert partner.split(" ")[0] in result.reasoning or "reduce" in result.reasoning.lower() diff --git a/tests/engine/compute/test_cross_chart.py b/tests/engine/compute/test_cross_chart.py new file mode 100644 index 0000000..891bfa5 --- /dev/null +++ b/tests/engine/compute/test_cross_chart.py @@ -0,0 +1,51 @@ +"""Tests for cross-chart (synastry) planetary interactions.""" + +from __future__ import annotations + +from daivai_engine.compute.cross_chart import compute_cross_chart_interactions +from daivai_engine.models.chart import ChartData + + +def test_cross_chart_returns_result(manish_chart: ChartData, sample_chart: ChartData): + """Cross-chart analysis produces a CrossChartResult with valid fields.""" + result = compute_cross_chart_interactions(manish_chart, sample_chart) + assert result.person_a == manish_chart.name + assert result.person_b == sample_chart.name + assert isinstance(result.overlays, list) + assert 0 <= result.bond_strength <= 100 + + +def test_cross_chart_finds_overlays(manish_chart: ChartData, sample_chart: ChartData): + """Two different charts should produce at least some overlays.""" + result = compute_cross_chart_interactions(manish_chart, sample_chart) + # With 9 planets x 9 planets and multiple aspect types, expect some hits + assert len(result.overlays) > 0 + + +def test_cross_chart_overlay_structure(manish_chart: ChartData, sample_chart: ChartData): + """Each overlay has required fields populated.""" + result = compute_cross_chart_interactions(manish_chart, sample_chart) + if result.overlays: + ov = result.overlays[0] + assert ov.person_a_name == manish_chart.name + assert ov.person_b_name == sample_chart.name + assert ov.planet_a != "" + assert ov.planet_b != "" + assert ov.interaction_type in ("conjunction", "opposition", "trine", "square", "sextile") + assert ov.effect in ("supportive", "challenging", "karmic", "neutral") + assert ov.orb_degrees >= 0 + + +def test_cross_chart_self_is_maximal(manish_chart: ChartData): + """A chart crossed with itself should produce many conjunctions.""" + result = compute_cross_chart_interactions(manish_chart, manish_chart) + conjunctions = [o for o in result.overlays if o.interaction_type == "conjunction"] + # 9 planets x 9 planets, each self-match is a perfect conjunction + assert len(conjunctions) >= 9 + + +def test_cross_chart_summary_populated(manish_chart: ChartData, sample_chart: ChartData): + """Summary string is non-empty.""" + result = compute_cross_chart_interactions(manish_chart, sample_chart) + assert len(result.summary) > 0 + assert manish_chart.name in result.summary diff --git a/tests/engine/compute/test_dasha_sync.py b/tests/engine/compute/test_dasha_sync.py new file mode 100644 index 0000000..692f19e --- /dev/null +++ b/tests/engine/compute/test_dasha_sync.py @@ -0,0 +1,52 @@ +"""Tests for synchronised family dasha timeline.""" + +from __future__ import annotations + +from daivai_engine.compute.dasha_sync import compute_dasha_sync +from daivai_engine.models.chart import ChartData + + +def test_dasha_sync_returns_result(manish_chart: ChartData): + """compute_dasha_sync produces a valid DashaSyncResult for one chart.""" + result = compute_dasha_sync([manish_chart]) + assert len(result.entries) == 1 + entry = result.entries[0] + assert entry.name == manish_chart.name + assert entry.current_md_lord != "" + assert entry.md_nature.planet == entry.current_md_lord + assert entry.md_start < entry.md_end + assert len(result.summary) > 0 + + +def test_dasha_sync_multiple_charts(manish_chart: ChartData, sample_chart: ChartData): + """Two charts produce two entries.""" + result = compute_dasha_sync([manish_chart, sample_chart]) + assert len(result.entries) == 2 + names = {e.name for e in result.entries} + assert manish_chart.name in names + assert sample_chart.name in names + + +def test_dasha_sync_md_nature_classified(manish_chart: ChartData): + """MD lord's functional nature should have a valid classification.""" + result = compute_dasha_sync([manish_chart]) + entry = result.entries[0] + assert entry.md_nature.classification in ( + "benefic", "malefic", "yogakaraka", "maraka", "neutral" + ) + assert entry.md_nature.lagna_sign == manish_chart.lagna_sign + + +def test_dasha_sync_windows_are_lists(manish_chart: ChartData, sample_chart: ChartData): + """Favorable and challenging windows should be string lists.""" + result = compute_dasha_sync([manish_chart, sample_chart]) + assert isinstance(result.favorable_windows, list) + assert isinstance(result.challenging_windows, list) + for w in result.favorable_windows + result.challenging_windows: + assert isinstance(w, str) + + +def test_dasha_sync_summary_contains_names(manish_chart: ChartData): + """Summary should mention each member's name.""" + result = compute_dasha_sync([manish_chart]) + assert manish_chart.name in result.summary diff --git a/tests/engine/compute/test_family_gemstone_synergy.py b/tests/engine/compute/test_family_gemstone_synergy.py new file mode 100644 index 0000000..13c07b0 --- /dev/null +++ b/tests/engine/compute/test_family_gemstone_synergy.py @@ -0,0 +1,77 @@ +"""Tests for family gemstone synergy analysis.""" + +from __future__ import annotations + +import pytest + +from daivai_engine.compute.family_gemstone_synergy import compute_family_gem_synergy +from daivai_engine.models.chart import ChartData + + +def test_family_gem_synergy_returns_result(manish_chart: ChartData, sample_chart: ChartData): + """compute_family_gem_synergy produces a FamilyGemSynergyResult.""" + result = compute_family_gem_synergy([manish_chart, sample_chart]) + assert len(result.members) == 2 + assert result.members[0].name == manish_chart.name + assert result.members[1].name == sample_chart.name + assert len(result.summary) > 0 + + +def test_member_profile_structure(manish_chart: ChartData): + """Each member profile has correct structure.""" + result = compute_family_gem_synergy([manish_chart]) + member = result.members[0] + assert member.name == manish_chart.name + assert member.lagna_sign == manish_chart.lagna_sign + assert isinstance(member.recommended, list) + assert isinstance(member.prohibited, list) + assert isinstance(member.test_with_caution, list) + # Shadow planet analysis should be present + assert member.rahu_gem is not None + assert member.ketu_gem is not None + + +@pytest.mark.safety +def test_manish_pukhraj_prohibited(manish_chart: ChartData): + """Manish (Mithuna lagna): Pukhraj must be prohibited (Jupiter = 7L maraka).""" + result = compute_family_gem_synergy([manish_chart]) + member = result.members[0] + assert any("Yellow Sapphire" in s for s in member.prohibited) + + +@pytest.mark.safety +def test_manish_panna_recommended(manish_chart: ChartData): + """Manish (Mithuna lagna): Panna must be recommended (Mercury = lagnesh).""" + result = compute_family_gem_synergy([manish_chart]) + member = result.members[0] + assert any("Emerald" in s for s in member.recommended) + + +def test_synergy_pairs_detected(manish_chart: ChartData, sample_chart: ChartData): + """Two charts should produce at least some synergy pairs.""" + result = compute_family_gem_synergy([manish_chart, sample_chart]) + # synergy_pairs may be empty if no complement/shared, but structure is valid + assert isinstance(result.synergy_pairs, list) + for pair in result.synergy_pairs: + assert pair.relationship in ("karmic_complement", "shared_recommend", "conflict") + assert pair.stone != "" + assert pair.person_a != "" + assert pair.person_b != "" + + +def test_family_safe_stones(manish_chart: ChartData, sample_chart: ChartData): + """Family-safe stones should be a list of stone names.""" + result = compute_family_gem_synergy([manish_chart, sample_chart]) + assert isinstance(result.family_safe_stones, list) + for stone in result.family_safe_stones: + assert isinstance(stone, str) + + +def test_rahu_ketu_gems_have_safety(manish_chart: ChartData): + """Rahu/Ketu gem profiles should have gemstone_safety set.""" + result = compute_family_gem_synergy([manish_chart]) + member = result.members[0] + if member.rahu_gem: + assert member.rahu_gem.gemstone_safety in ("safe", "test_with_caution", "unsafe") + if member.ketu_gem: + assert member.ketu_gem.gemstone_safety in ("safe", "test_with_caution", "unsafe") diff --git a/tests/engine/compute/test_functional_nature.py b/tests/engine/compute/test_functional_nature.py new file mode 100644 index 0000000..829fabe --- /dev/null +++ b/tests/engine/compute/test_functional_nature.py @@ -0,0 +1,135 @@ +"""Tests for functional nature classification and Rahu/Ketu rashyadhipati.""" + +from __future__ import annotations + +import pytest + +from daivai_engine.compute.chart import compute_chart +from daivai_engine.compute.functional_nature import get_functional_nature, get_shadow_planet_nature +from daivai_engine.models.chart import ChartData + + +# ── get_functional_nature tests ────────────────────────────────────────────── + + +def test_mars_mesha_lagna_benefic(): + """Mars is lagna lord for Mesha → always benefic.""" + result = get_functional_nature("Mars", "Aries") + assert result.classification == "benefic" + assert 1 in result.houses_owned + assert result.planet == "Mars" + assert result.lagna_sign == "Aries" + + +def test_jupiter_mithuna_lagna_malefic(): + """Jupiter owns 7+10 for Mithuna → functional malefic + maraka.""" + result = get_functional_nature("Jupiter", "Gemini") + assert result.classification == "malefic" + assert result.is_maraka is True + assert 7 in result.houses_owned + assert 10 in result.houses_owned + + +def test_venus_mithuna_lagna_yogakaraka(): + """Venus is yogakaraka for Mithuna lagna (5th lord).""" + result = get_functional_nature("Venus", "Gemini") + assert result.classification == "yogakaraka" + assert result.is_yogakaraka is True + + +def test_jupiter_vrischika_lagna_benefic(): + """Jupiter owns 2+5 for Vrischika → functional benefic (yogakaraka).""" + result = get_functional_nature("Jupiter", "Scorpio") + assert result.classification == "yogakaraka" + assert result.is_yogakaraka is True + assert 2 in result.houses_owned + assert 5 in result.houses_owned + + +def test_venus_vrischika_lagna_malefic(): + """Venus owns 7+12 for Vrischika → functional malefic.""" + result = get_functional_nature("Venus", "Scorpio") + assert result.classification == "malefic" + + +def test_saturn_mithuna_lagna_benefic_mixed(): + """Saturn owns 8+9 for Mithuna → classified as benefic (9th trikona dominates).""" + result = get_functional_nature("Saturn", "Gemini") + assert result.classification == "benefic" + assert 8 in result.houses_owned + assert 9 in result.houses_owned + + +def test_moon_mithuna_lagna_maraka(): + """Moon owns 2nd for Mithuna → maraka.""" + result = get_functional_nature("Moon", "Gemini") + assert result.is_maraka is True + + +def test_unknown_planet_neutral(): + """A planet not listed should return neutral.""" + # Rahu is not listed in lordship_rules.yaml functional lists + result = get_functional_nature("Rahu", "Gemini") + assert result.classification == "neutral" + + +# ── Rashyadhipati: shadow planet gemstone safety ───────────────────────────── + + +@pytest.fixture +def vrischika_chart() -> ChartData: + """Chart with Vrischika (Scorpio) lagna for rashyadhipati testing. + + Uses a birth date/place that gives Vrischika lagna. + """ + return compute_chart( + name="Vrischika Native", + dob="20/08/1992", + tob="12:05", + lat=25.3176, + lon=83.0067, + tz_name="Asia/Kolkata", + gender="Female", + ) + + +@pytest.mark.safety +def test_shadow_planet_nature_basic(manish_chart: ChartData): + """Manish (Mithuna lagna): verify Rahu shadow resolution works.""" + result = get_shadow_planet_nature("Rahu", manish_chart) + assert result.shadow_planet == "Rahu" + assert result.sign_lord != "" + assert result.gemstone_name == "Hessonite (Gomed)" + assert result.gemstone_safety in ("safe", "test_with_caution", "unsafe") + assert result.sign_lord_nature.planet == result.sign_lord + + +@pytest.mark.safety +def test_ketu_shadow_nature(manish_chart: ChartData): + """Verify Ketu shadow resolution returns Cat's Eye.""" + result = get_shadow_planet_nature("Ketu", manish_chart) + assert result.shadow_planet == "Ketu" + assert result.gemstone_name == "Cat's Eye (Lehsunia)" + assert result.gemstone_safety in ("safe", "test_with_caution", "unsafe") + + +@pytest.mark.safety +def test_shadow_planet_sign_lord_matches(manish_chart: ChartData): + """Sign lord in ShadowPlanetNature must match SIGN_LORDS for that sign index.""" + from daivai_engine.constants.signs import SIGN_LORDS + + for shadow in ["Rahu", "Ketu"]: + result = get_shadow_planet_nature(shadow, manish_chart) + expected_lord = SIGN_LORDS[result.sign_index] + assert result.sign_lord == expected_lord + + +@pytest.mark.safety +def test_gemstone_safety_classification_logic(): + """Verify the safety logic: benefic without dusthana → safe.""" + nature_benefic = get_functional_nature("Jupiter", "Scorpio") # 2+5L, no dusthana + assert nature_benefic.classification == "yogakaraka" + + nature_mixed = get_functional_nature("Saturn", "Gemini") # 8+9L, 8 is dusthana + assert nature_mixed.classification == "benefic" + assert 8 in nature_mixed.houses_owned # dusthana involvement diff --git a/tests/engine/compute/test_wealth_flow.py b/tests/engine/compute/test_wealth_flow.py new file mode 100644 index 0000000..4024036 --- /dev/null +++ b/tests/engine/compute/test_wealth_flow.py @@ -0,0 +1,37 @@ +"""Tests for wealth flow classification.""" + +from __future__ import annotations + +from daivai_engine.compute.wealth_flow import classify_wealth_flow +from daivai_engine.models.chart import ChartData + + +def test_wealth_flow_returns_profile(manish_chart: ChartData): + """classify_wealth_flow produces a valid WealthFlowProfile.""" + profile = classify_wealth_flow(manish_chart) + assert profile.name == manish_chart.name + assert profile.archetype in ("earner", "accumulator", "distributor", "mixed") + assert 0 <= profile.wealth_score <= 100 + assert profile.second_lord != "" + assert profile.tenth_lord != "" + assert profile.eleventh_lord != "" + assert 1 <= profile.second_lord_house <= 12 + assert 1 <= profile.tenth_lord_house <= 12 + assert 1 <= profile.eleventh_lord_house <= 12 + + +def test_wealth_flow_description_populated(manish_chart: ChartData): + """Description contains lord placement details.""" + profile = classify_wealth_flow(manish_chart) + assert len(profile.description) > 0 + # Description should mention at least one lord + assert any(lord in profile.description for lord in ["2nd", "10th", "11th"]) + + +def test_wealth_flow_different_charts(manish_chart: ChartData, sample_chart: ChartData): + """Different charts can produce different archetypes.""" + profile_m = classify_wealth_flow(manish_chart) + profile_s = classify_wealth_flow(sample_chart) + # Both should be valid archetypes (may or may not differ) + assert profile_m.archetype in ("earner", "accumulator", "distributor", "mixed") + assert profile_s.archetype in ("earner", "accumulator", "distributor", "mixed") diff --git a/tests/engine/compute/test_yoga_new_definitions.py b/tests/engine/compute/test_yoga_new_definitions.py index 8cd651f..9b83747 100644 --- a/tests/engine/compute/test_yoga_new_definitions.py +++ b/tests/engine/compute/test_yoga_new_definitions.py @@ -40,7 +40,7 @@ } _YOGA_YAML_PATH = ( - "/Users/manish/Documents/AI/daiv-ai/.claude/worktrees/crazy-mendel" + "/Users/manish/Documents/AI/daiv-ai" "/engine/src/daivai_engine/knowledge/yoga_definitions.yaml" ) diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..d9d3c96 --- /dev/null +++ b/uv.lock @@ -0,0 +1,2087 @@ +version = 1 +revision = 3 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.14'", + "python_full_version == '3.13.*'", + "python_full_version < '3.13'", +] + 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