pyr0ball
e543ab70f7
- Add app/db/ abstraction layer: Backend enum, DbConn wrapper, dialect helper (q() for ? vs %s paramstyle), get_conn(), tenant_id() - Auto-detect backend from DATABASE_URL; SQLite remains default when unset — no config change for local deployments - Add tenant_id column to all three logical DBs (main, context, incidents); idempotent ALTER TABLE migration runs before schema scripts on existing DBs - All INSERTs inject tenant_id; SELECTs use (tenant_id = ? OR tenant_id = '') for backward compat with pre-namespacing rows - Add docker-compose.yml with named volume turnstone_pgdata (survives rebuilds) and optional external Postgres support via DATABASE_URL override - Add scripts/migrate_sqlite_to_postgres.py — one-shot idempotent migration for existing SQLite data; ON CONFLICT DO NOTHING for safe re-runs - Fix SSH glean path in pipeline.py to use ensure_schema + get_conn (was still using raw sqlite3.connect + old _SCHEMA without tenant_id) - Fix FTS5 JOIN ambiguity: qualify repeat_count as f.repeat_count in search - Update all tests to use ensure_*_schema fixtures; add row_factory where needed - 394/394 tests passing Closes: #42 Closes: #50
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
"""Upload adapter: processes file bytes and writes to context store — MIT licensed."""
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from __future__ import annotations
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import uuid
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from pathlib import Path
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from typing import Any
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from app.context.chunker import process_upload
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from app.context.store import add_document, add_fact
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from app.db import get_conn, resolve_tenant_id
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def glean_upload(db_path: Path, filename: str, content: bytes) -> dict[str, Any]:
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"""Process an uploaded file and write to context store. Returns result summary."""
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doc_type, facts, chunks = process_upload(filename, content)
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tid = resolve_tenant_id()
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doc = add_document(
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db_path,
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filename=filename,
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doc_type=doc_type,
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full_text=content.decode("utf-8", errors="replace"),
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file_size=len(content),
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)
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for fact in facts:
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add_fact(db_path, fact.category, fact.key, fact.value, source="upload")
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with get_conn(db_path) as conn:
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for i, chunk_text in enumerate(chunks):
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conn.execute(
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"INSERT INTO context_chunks(id, tenant_id, document_id, chunk_index, text) VALUES (?,?,?,?,?)",
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(str(uuid.uuid4()), tid, doc.id, i, chunk_text),
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)
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conn.commit()
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return {
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"document_id": doc.id,
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"doc_type": doc_type,
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"facts_written": len(facts),
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"chunks_written": len(chunks),
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}
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