Adds the `docling-agent` reasoning-trace viewer as a Studio tunnel, per `docs/design/reasoning-trace.md`. Users pick an analyzed document, import a RAGResult JSON, and the iterations are overlaid on the document graph. Graph source is decoupled from Neo4j: a new pure builder (`infra/docling_graph.build_graph_payload`) reads `document_json` from SQLite and emits the same Cytoscape-shaped payload that `fetch_graph` returns from Neo4j. Neo4j stays exclusive to the Maintain ingestion pipeline. Shared DoclingDocument helpers live in `infra/docling_tree.py` so TreeWriter and the builder can't drift on label taxonomy or tree walks. Also removes the Cytoscape minimap (cytoscape-navigator) from GraphView: second render instance hurt perf on large documents for no UX win. Backend - new `GET /api/documents/:id/reasoning-graph` (SQLite-only) - new `infra/docling_tree.py`, `infra/docling_graph.py` - `analysis_repo.find_latest_completed_by_document` - tests: `test_docling_graph.py` (builder), `test_graph_api.py` (endpoint) Frontend - `features/reasoning/` — store, overlay, types, panel, import dialog, workspace, doc picker - new `ReasoningPage` + `/reasoning` and `/reasoning/:docId` routes - `GraphView` gains a `fetcher` prop so reasoning can inject the SQLite-backed fetcher while Maintain keeps using the Neo4j one - drops minimap (nav container, dep, CSS) - legend filters + section parenting extracted for reuse - i18n base strings (FR + EN)
153 lines
6.3 KiB
Python
153 lines
6.3 KiB
Python
"""Analysis job repository — SQLite CRUD for analysis_jobs table."""
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from __future__ import annotations
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from datetime import UTC, datetime
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from domain.models import AnalysisJob, AnalysisStatus
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from persistence.database import get_connection
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def _parse_dt(value: str | None) -> datetime | None:
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"""Parse an ISO-format datetime string back into a datetime object."""
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if not value:
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return None
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return datetime.fromisoformat(value)
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def _row_to_job(row) -> AnalysisJob:
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keys = row.keys()
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return AnalysisJob(
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id=row["id"],
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document_id=row["document_id"],
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status=AnalysisStatus(row["status"]),
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content_markdown=row["content_markdown"],
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content_html=row["content_html"],
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pages_json=row["pages_json"],
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document_json=row["document_json"] if "document_json" in keys else None,
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chunks_json=row["chunks_json"] if "chunks_json" in keys else None,
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error_message=row["error_message"],
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progress_current=row["progress_current"] if "progress_current" in keys else None,
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progress_total=row["progress_total"] if "progress_total" in keys else None,
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started_at=_parse_dt(row["started_at"]),
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completed_at=_parse_dt(row["completed_at"]),
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created_at=_parse_dt(row["created_at"]) or datetime.now(UTC),
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document_filename=row["filename"] if "filename" in keys else None,
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)
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_SELECT_WITH_DOC = """
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SELECT aj.*, d.filename
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FROM analysis_jobs aj
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JOIN documents d ON d.id = aj.document_id
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"""
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class SqliteAnalysisRepository:
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"""SQLite implementation of the AnalysisRepository port."""
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async def insert(self, job: AnalysisJob) -> None:
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"""Persist a new analysis job record."""
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async with get_connection() as db:
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await db.execute(
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"""INSERT INTO analysis_jobs (id, document_id, status, created_at)
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VALUES (?, ?, ?, ?)""",
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(job.id, job.document_id, job.status.value, str(job.created_at)),
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)
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await db.commit()
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async def find_all(self, *, limit: int = 200, offset: int = 0) -> list[AnalysisJob]:
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"""Return analysis jobs with document info, newest first."""
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async with get_connection() as db:
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cursor = await db.execute(
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f"{_SELECT_WITH_DOC} ORDER BY aj.created_at DESC LIMIT ? OFFSET ?",
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(limit, offset),
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)
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rows = await cursor.fetchall()
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return [_row_to_job(r) for r in rows]
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async def find_by_id(self, job_id: str) -> AnalysisJob | None:
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"""Find an analysis job by ID (with document filename), or return None."""
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async with get_connection() as db:
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cursor = await db.execute(f"{_SELECT_WITH_DOC} WHERE aj.id = ?", (job_id,))
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row = await cursor.fetchone()
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return _row_to_job(row) if row else None
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async def find_latest_completed_by_document(self, document_id: str) -> AnalysisJob | None:
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"""Latest COMPLETED analysis with a non-null `document_json` for a doc.
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Used by the reasoning-trace tunnel to prime Neo4j from an existing
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analysis when the graph doesn't yet exist (e.g. analysis ran before
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Neo4j was wired in).
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"""
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async with get_connection() as db:
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cursor = await db.execute(
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f"{_SELECT_WITH_DOC} WHERE aj.document_id = ? "
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"AND aj.status = 'COMPLETED' AND aj.document_json IS NOT NULL "
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"ORDER BY aj.completed_at DESC LIMIT 1",
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(document_id,),
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)
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row = await cursor.fetchone()
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return _row_to_job(row) if row else None
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async def update_status(self, job: AnalysisJob) -> None:
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"""Persist all mutable fields of an analysis job (status, results, timestamps)."""
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async with get_connection() as db:
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await db.execute(
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"""UPDATE analysis_jobs
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SET status = ?, content_markdown = ?, content_html = ?,
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pages_json = ?, document_json = ?, chunks_json = ?,
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error_message = ?, progress_current = ?, progress_total = ?,
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started_at = ?, completed_at = ?
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WHERE id = ?""",
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(
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job.status.value,
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job.content_markdown,
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job.content_html,
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job.pages_json,
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job.document_json,
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job.chunks_json,
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job.error_message,
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job.progress_current,
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job.progress_total,
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str(job.started_at) if job.started_at else None,
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str(job.completed_at) if job.completed_at else None,
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job.id,
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),
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)
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await db.commit()
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async def update_progress(self, job_id: str, current: int, total: int) -> None:
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"""Update only the progress columns for a running analysis."""
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async with get_connection() as db:
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await db.execute(
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"UPDATE analysis_jobs SET progress_current = ?, progress_total = ? WHERE id = ?",
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(current, total, job_id),
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)
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await db.commit()
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async def update_chunks(self, job_id: str, chunks_json: str) -> bool:
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"""Update only the chunks_json column for a completed analysis."""
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async with get_connection() as db:
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cursor = await db.execute(
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"UPDATE analysis_jobs SET chunks_json = ? WHERE id = ?",
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(chunks_json, job_id),
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)
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await db.commit()
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return cursor.rowcount > 0
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async def delete(self, job_id: str) -> bool:
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"""Delete an analysis job by ID. Returns True if a row was removed."""
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async with get_connection() as db:
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cursor = await db.execute("DELETE FROM analysis_jobs WHERE id = ?", (job_id,))
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await db.commit()
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return cursor.rowcount > 0
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async def delete_by_document(self, document_id: str) -> int:
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"""Delete all analysis jobs for a given document. Returns count deleted."""
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async with get_connection() as db:
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cursor = await db.execute(
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"DELETE FROM analysis_jobs WHERE document_id = ?", (document_id,)
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)
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await db.commit()
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return cursor.rowcount
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