Feat/sql usage#1720
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- Trendshift badge under the logo. - A scannable capability grid (god nodes, communities, cross-file links, query/path/explain, rationale/doc-refs, non-code inputs, local-first build) plus a one-line positioning statement, right after the hero and before install. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
New push backend targeting a MaluDb memory database (https://github.com/maludb) via its POST /v1/graph/import endpoint: nodes become subjects, edges become subject-verb-object statements, EXTRACTED/INFERRED/AMBIGUOUS confidence is preserved. Upserts are idempotent server-side — same contract as push_to_neo4j. - push_to_maludb() in export.py: stdlib urllib only (no new dependency), scheme-only URL check (operator-supplied push target, like neo4j's bolt URI — security.validate_url would wrongly reject localhost/private MaluDb servers), community ids ride along. - CLI: graphify export maludb [--push URL] [--namespace NS] [--token T]; URL falls back to MALUDB_URL, token to MALUDB_TOKEN (F-031: keep secrets off argv), namespace to the project directory name. - tests: payload/report shape, community tagging, non-http rejection. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
feat: push_to_maludb exporter + 'graphify export maludb' CLI
Graphify Phase 6 DM-3 (MaluDb cross-repo docs/DATA-MODEL-GRAPH.md). - graphify/sql_usage.py: regex scan of the source files behind a code graph for SQL statements; emits INFERRED reads/writes links from the graph's FILE nodes to '<datamodel_ns>/<schema>.<table>' targets (unqualified names take --db-schema). Deliberately not a SQL parser: the goal is 'this file touches that table' edges. - push_to_maludb: extra_links + options passthrough (the server's resolve_external option stitches targets that exist in the tenant's data-model graph; unknown targets are reported, not fatal). - CLI: graphify export maludb --sql-usage --source-root DIR [--db-schema S] [--datamodel-ns NS]. - tests: scanner accuracy (incl. qualified malu$ names + noise filtering), file-node mining, payload options/extra links. 45 pass. E2E on maludb_e2e (core 0.104.0): 357 links mined from the Python API server's app/, 75 resolved cross-namespace (59 reads / 16 writes); 'db impact e2e.maludb_edge' now surfaces app/routers/graph.py beside the core facade builder. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
- extract_sql: tag CREATE TABLE/VIEW nodes with type and parse column definitions (name, type, nullability) plus pk/unique constraints into node metadata - pg_introspect: fetch real catalog columns, primary keys, and unique indexes and attach them to table nodes, replacing the synthetic-DDL stub - sql_evidence: helpers to detect, sanitize, and parse SQL embedded in application-code string literals (tables read/written, join predicates) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Replace the upstream graphify README with MaluDb-focused docs: the graph-to-MaluDb mapping, installation from this fork, MALUDB_URL/ MALUDB_TOKEN configuration, export maludb flags, the four-step code + data-model workflow, and troubleshooting. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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