726 lines
28 KiB
Python
726 lines
28 KiB
Python
"""Document CRUD, lifecycle, metadata, file access, and content export endpoints."""
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import io
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import re
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import unicodedata
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import zipfile
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from datetime import datetime, time
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from pathlib import Path
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from typing import Annotated, Literal
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from uuid import UUID
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from fastapi import APIRouter, Depends, File, Form, HTTPException, Query, UploadFile
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from fastapi.responses import FileResponse, Response, StreamingResponse
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from sqlalchemy import or_, func, select
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from sqlalchemy.orm import Session
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from app.services.app_settings import read_predefined_paths_settings, read_predefined_tags_settings
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from app.db.base import get_session
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from app.models.document import Document, DocumentStatus
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from app.schemas.documents import (
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ContentExportRequest,
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DocumentDetailResponse,
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DocumentResponse,
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DocumentsListResponse,
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DocumentUpdateRequest,
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UploadConflict,
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UploadResponse,
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)
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from app.services.extractor import sniff_mime
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from app.services.handwriting_style import delete_many_handwriting_style_documents
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from app.services.processing_logs import log_processing_event, set_processing_log_autocommit
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from app.services.storage import absolute_path, compute_sha256, store_bytes
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from app.services.typesense_index import delete_many_documents_index, upsert_document_index
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from app.worker.queue import get_processing_queue
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router = APIRouter()
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def _parse_csv(value: str | None) -> list[str]:
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"""Parses comma-separated query values into a normalized non-empty list."""
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if not value:
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return []
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return [part.strip() for part in value.split(",") if part.strip()]
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def _parse_date(value: str | None) -> datetime | None:
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"""Parses ISO date strings into UTC-naive midnight datetimes."""
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if not value:
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return None
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try:
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parsed = datetime.fromisoformat(value)
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return parsed
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except ValueError:
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pass
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try:
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date_value = datetime.strptime(value, "%Y-%m-%d").date()
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return datetime.combine(date_value, time.min)
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except ValueError:
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return None
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def _apply_discovery_filters(
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statement,
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*,
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path_filter: str | None,
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tag_filter: str | None,
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type_filter: str | None,
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processed_from: str | None,
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processed_to: str | None,
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):
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"""Applies optional path/tag/type/date filters to list and search statements."""
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if path_filter and path_filter.strip():
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statement = statement.where(Document.logical_path.ilike(f"{path_filter.strip()}%"))
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tags = _parse_csv(tag_filter)
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if tags:
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statement = statement.where(Document.tags.overlap(tags))
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types = _parse_csv(type_filter)
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if types:
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type_clauses = []
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for value in types:
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lowered = value.lower()
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type_clauses.append(Document.extension.ilike(lowered))
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type_clauses.append(Document.mime_type.ilike(lowered))
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type_clauses.append(Document.image_text_type.ilike(lowered))
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statement = statement.where(or_(*type_clauses))
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processed_from_dt = _parse_date(processed_from)
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if processed_from_dt is not None:
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statement = statement.where(Document.processed_at.is_not(None), Document.processed_at >= processed_from_dt)
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processed_to_dt = _parse_date(processed_to)
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if processed_to_dt is not None:
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statement = statement.where(Document.processed_at.is_not(None), Document.processed_at <= processed_to_dt)
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return statement
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def _summary_for_index(document: Document) -> str:
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"""Resolves best-available summary text for semantic index updates outside worker pipeline."""
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candidate = document.metadata_json.get("summary_text")
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if isinstance(candidate, str) and candidate.strip():
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return candidate.strip()
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extracted = document.extracted_text.strip()
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if extracted:
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return extracted[:12000]
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return f"{document.original_filename}\n{document.mime_type}\n{document.logical_path}"
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def _normalize_tags(raw_tags: str | None) -> list[str]:
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"""Parses comma-separated tags into a cleaned unique list."""
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if not raw_tags:
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return []
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tags = [tag.strip() for tag in raw_tags.split(",") if tag.strip()]
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return list(dict.fromkeys(tags))[:50]
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def _sanitize_filename(filename: str) -> str:
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"""Normalizes user-supplied filenames while preserving readability and extensions."""
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base = filename.strip().replace("\\", " ").replace("/", " ")
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base = re.sub(r"\s+", " ", base)
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return base[:512] or "document"
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def _slugify_segment(value: str) -> str:
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"""Creates a filesystem-safe slug for path segments and markdown file names."""
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normalized = unicodedata.normalize("NFKD", value)
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ascii_text = normalized.encode("ascii", "ignore").decode("ascii")
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cleaned = re.sub(r"[^a-zA-Z0-9._ -]+", "", ascii_text).strip()
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compact = re.sub(r"\s+", "-", cleaned)
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compact = compact.strip(".-_")
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return compact[:120] or "document"
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def _markdown_for_document(document: Document) -> str:
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"""Builds a markdown representation of extracted document content and metadata."""
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lines = [
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f"# {document.original_filename}",
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"",
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f"- Document ID: `{document.id}`",
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f"- Logical Path: `{document.logical_path}`",
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f"- Source Path: `{document.source_relative_path}`",
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f"- Tags: {', '.join(document.tags) if document.tags else '(none)' }",
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"",
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"## Extracted Content",
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"",
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]
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if document.extracted_text.strip():
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lines.append(document.extracted_text)
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else:
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lines.append("_No extracted text available for this document._")
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return "\n".join(lines).strip() + "\n"
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def _markdown_filename(document: Document) -> str:
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"""Builds a deterministic markdown filename for a single document export."""
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stem = Path(document.original_filename).stem or document.original_filename
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slug = _slugify_segment(stem)
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return f"{slug}-{str(document.id)[:8]}.md"
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def _zip_entry_name(document: Document, used_names: set[str]) -> str:
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"""Builds a unique zip entry path for a document markdown export."""
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path_segments = [segment for segment in document.logical_path.split("/") if segment]
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sanitized_segments = [_slugify_segment(segment) for segment in path_segments]
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filename = _markdown_filename(document)
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base_entry = "/".join([*sanitized_segments, filename]) if sanitized_segments else filename
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entry = base_entry
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suffix = 1
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while entry in used_names:
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stem = Path(filename).stem
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ext = Path(filename).suffix
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candidate = f"{stem}-{suffix}{ext}"
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entry = "/".join([*sanitized_segments, candidate]) if sanitized_segments else candidate
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suffix += 1
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used_names.add(entry)
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return entry
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def _resolve_previous_status(metadata_json: dict, fallback_status: DocumentStatus) -> DocumentStatus:
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"""Resolves the status to restore from trash using recorded metadata."""
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raw_status = metadata_json.get("status_before_trash")
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if isinstance(raw_status, str):
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try:
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parsed = DocumentStatus(raw_status)
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if parsed != DocumentStatus.TRASHED:
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return parsed
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except ValueError:
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pass
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return fallback_status
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def _build_document_list_statement(
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only_trashed: bool,
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include_trashed: bool,
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path_prefix: str | None,
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):
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"""Builds a base SQLAlchemy select statement with lifecycle and path filters."""
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statement = select(Document)
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if only_trashed:
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statement = statement.where(Document.status == DocumentStatus.TRASHED)
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elif not include_trashed:
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statement = statement.where(Document.status != DocumentStatus.TRASHED)
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if path_prefix:
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trimmed_prefix = path_prefix.strip()
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if trimmed_prefix:
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statement = statement.where(Document.logical_path.ilike(f"{trimmed_prefix}%"))
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return statement
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def _collect_document_tree(session: Session, root_document_id: UUID) -> list[tuple[int, Document]]:
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"""Collects a document and all descendants for recursive permanent deletion."""
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queue: list[tuple[UUID, int]] = [(root_document_id, 0)]
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visited: set[UUID] = set()
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collected: list[tuple[int, Document]] = []
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while queue:
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current_id, depth = queue.pop(0)
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if current_id in visited:
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continue
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visited.add(current_id)
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document = session.execute(select(Document).where(Document.id == current_id)).scalar_one_or_none()
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if document is None:
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continue
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collected.append((depth, document))
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child_ids = session.execute(
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select(Document.id).where(Document.parent_document_id == current_id)
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).scalars().all()
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for child_id in child_ids:
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queue.append((child_id, depth + 1))
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collected.sort(key=lambda item: item[0], reverse=True)
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return collected
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@router.get("", response_model=DocumentsListResponse)
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def list_documents(
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offset: int = Query(default=0, ge=0),
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limit: int = Query(default=50, ge=1, le=200),
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include_trashed: bool = Query(default=False),
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only_trashed: bool = Query(default=False),
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path_prefix: str | None = Query(default=None),
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path_filter: str | None = Query(default=None),
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tag_filter: str | None = Query(default=None),
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type_filter: str | None = Query(default=None),
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processed_from: str | None = Query(default=None),
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processed_to: str | None = Query(default=None),
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session: Session = Depends(get_session),
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) -> DocumentsListResponse:
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"""Returns paginated documents ordered by newest upload timestamp."""
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base_statement = _build_document_list_statement(
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only_trashed=only_trashed,
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include_trashed=include_trashed,
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path_prefix=path_prefix,
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)
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base_statement = _apply_discovery_filters(
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base_statement,
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path_filter=path_filter,
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tag_filter=tag_filter,
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type_filter=type_filter,
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processed_from=processed_from,
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processed_to=processed_to,
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)
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statement = base_statement.order_by(Document.created_at.desc()).offset(offset).limit(limit)
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items = session.execute(statement).scalars().all()
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count_statement = select(func.count()).select_from(base_statement.subquery())
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total = session.execute(count_statement).scalar_one()
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return DocumentsListResponse(total=total, items=[DocumentResponse.model_validate(item) for item in items])
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@router.get("/tags")
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def list_tags(
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include_trashed: bool = Query(default=False),
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session: Session = Depends(get_session),
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) -> dict[str, list[str]]:
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"""Returns distinct tags currently assigned across all matching documents."""
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statement = select(Document.tags)
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if not include_trashed:
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statement = statement.where(Document.status != DocumentStatus.TRASHED)
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rows = session.execute(statement).scalars().all()
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tags = {tag for row in rows for tag in row if tag}
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tags.update(
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str(item.get("value", "")).strip()
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for item in read_predefined_tags_settings()
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if str(item.get("value", "")).strip()
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)
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tags = sorted(tags)
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return {"tags": tags}
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@router.get("/paths")
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def list_paths(
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include_trashed: bool = Query(default=False),
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session: Session = Depends(get_session),
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) -> dict[str, list[str]]:
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"""Returns distinct logical paths currently assigned across all matching documents."""
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statement = select(Document.logical_path)
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if not include_trashed:
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statement = statement.where(Document.status != DocumentStatus.TRASHED)
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rows = session.execute(statement).scalars().all()
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paths = {row for row in rows if row}
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paths.update(
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str(item.get("value", "")).strip()
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for item in read_predefined_paths_settings()
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if str(item.get("value", "")).strip()
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)
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paths = sorted(paths)
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return {"paths": paths}
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@router.get("/types")
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def list_types(
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include_trashed: bool = Query(default=False),
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session: Session = Depends(get_session),
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) -> dict[str, list[str]]:
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"""Returns distinct document type values from extension, MIME, and image text type."""
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statement = select(Document.extension, Document.mime_type, Document.image_text_type)
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if not include_trashed:
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statement = statement.where(Document.status != DocumentStatus.TRASHED)
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rows = session.execute(statement).all()
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values: set[str] = set()
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for extension, mime_type, image_text_type in rows:
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for candidate in (extension, mime_type, image_text_type):
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normalized = str(candidate).strip().lower() if isinstance(candidate, str) else ""
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if normalized:
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values.add(normalized)
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return {"types": sorted(values)}
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@router.post("/content-md/export")
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def export_contents_markdown(
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payload: ContentExportRequest,
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session: Session = Depends(get_session),
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) -> StreamingResponse:
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"""Exports extracted contents for selected documents as individual markdown files in a ZIP archive."""
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has_document_ids = len(payload.document_ids) > 0
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has_path_prefix = bool(payload.path_prefix and payload.path_prefix.strip())
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if not has_document_ids and not has_path_prefix:
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raise HTTPException(status_code=400, detail="Provide document_ids or path_prefix for export")
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statement = select(Document)
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if has_document_ids:
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statement = statement.where(Document.id.in_(payload.document_ids))
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if has_path_prefix:
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statement = statement.where(Document.logical_path.ilike(f"{payload.path_prefix.strip()}%"))
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if payload.only_trashed:
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statement = statement.where(Document.status == DocumentStatus.TRASHED)
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elif not payload.include_trashed:
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statement = statement.where(Document.status != DocumentStatus.TRASHED)
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documents = session.execute(statement.order_by(Document.logical_path.asc(), Document.created_at.asc())).scalars().all()
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if not documents:
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raise HTTPException(status_code=404, detail="No matching documents found for export")
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archive_buffer = io.BytesIO()
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used_entries: set[str] = set()
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with zipfile.ZipFile(archive_buffer, mode="w", compression=zipfile.ZIP_DEFLATED) as archive:
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for document in documents:
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entry_name = _zip_entry_name(document, used_entries)
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archive.writestr(entry_name, _markdown_for_document(document))
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archive_buffer.seek(0)
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headers = {"Content-Disposition": 'attachment; filename="document-contents-md.zip"'}
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return StreamingResponse(archive_buffer, media_type="application/zip", headers=headers)
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@router.get("/{document_id}", response_model=DocumentDetailResponse)
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def get_document(document_id: UUID, session: Session = Depends(get_session)) -> DocumentDetailResponse:
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"""Returns one document by unique identifier."""
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document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
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if document is None:
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raise HTTPException(status_code=404, detail="Document not found")
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return DocumentDetailResponse.model_validate(document)
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@router.get("/{document_id}/download")
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def download_document(document_id: UUID, session: Session = Depends(get_session)) -> FileResponse:
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"""Downloads original document bytes for the requested document identifier."""
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document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
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if document is None:
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raise HTTPException(status_code=404, detail="Document not found")
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file_path = absolute_path(document.stored_relative_path)
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return FileResponse(path=file_path, filename=document.original_filename, media_type=document.mime_type)
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@router.get("/{document_id}/preview")
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def preview_document(document_id: UUID, session: Session = Depends(get_session)) -> FileResponse:
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"""Streams the original document inline when browser rendering is supported."""
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document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
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if document is None:
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raise HTTPException(status_code=404, detail="Document not found")
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original_path = absolute_path(document.stored_relative_path)
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return FileResponse(path=original_path, media_type=document.mime_type)
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@router.get("/{document_id}/thumbnail")
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def thumbnail_document(document_id: UUID, session: Session = Depends(get_session)) -> FileResponse:
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"""Returns a generated thumbnail image for dashboard card previews."""
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document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
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if document is None:
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raise HTTPException(status_code=404, detail="Document not found")
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preview_relative_path = document.metadata_json.get("preview_relative_path")
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if not preview_relative_path:
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raise HTTPException(status_code=404, detail="Thumbnail not available")
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preview_path = absolute_path(preview_relative_path)
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if not preview_path.exists():
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raise HTTPException(status_code=404, detail="Thumbnail file not found")
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return FileResponse(path=preview_path)
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@router.get("/{document_id}/content-md")
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def download_document_content_markdown(document_id: UUID, session: Session = Depends(get_session)) -> Response:
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"""Downloads extracted content for one document as a markdown file."""
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document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
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if document is None:
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raise HTTPException(status_code=404, detail="Document not found")
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markdown_content = _markdown_for_document(document)
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filename = _markdown_filename(document)
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headers = {"Content-Disposition": f'attachment; filename="{filename}"'}
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return Response(content=markdown_content, media_type="text/markdown; charset=utf-8", headers=headers)
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@router.post("/upload", response_model=UploadResponse)
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async def upload_documents(
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files: Annotated[list[UploadFile], File(description="Files to upload")],
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relative_paths: Annotated[list[str] | None, Form()] = None,
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logical_path: Annotated[str, Form()] = "Inbox",
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tags: Annotated[str | None, Form()] = None,
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conflict_mode: Annotated[Literal["ask", "replace", "duplicate"], Form()] = "ask",
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session: Session = Depends(get_session),
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) -> UploadResponse:
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"""Uploads files, records metadata, and enqueues asynchronous extraction tasks."""
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set_processing_log_autocommit(session, True)
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normalized_tags = _normalize_tags(tags)
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queue = get_processing_queue()
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uploaded: list[DocumentResponse] = []
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conflicts: list[UploadConflict] = []
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|
|
indexed_relative_paths = relative_paths or []
|
|
prepared_uploads: list[dict[str, object]] = []
|
|
|
|
for idx, file in enumerate(files):
|
|
filename = file.filename or f"uploaded_{idx}"
|
|
data = await file.read()
|
|
sha256 = compute_sha256(data)
|
|
source_relative_path = indexed_relative_paths[idx] if idx < len(indexed_relative_paths) else filename
|
|
extension = Path(filename).suffix.lower()
|
|
detected_mime = sniff_mime(data)
|
|
log_processing_event(
|
|
session=session,
|
|
stage="upload",
|
|
event="Upload request received",
|
|
level="info",
|
|
document_filename=filename,
|
|
payload_json={
|
|
"source_relative_path": source_relative_path,
|
|
"logical_path": logical_path,
|
|
"tags": normalized_tags,
|
|
"mime_type": detected_mime,
|
|
"size_bytes": len(data),
|
|
"conflict_mode": conflict_mode,
|
|
},
|
|
)
|
|
prepared_uploads.append(
|
|
{
|
|
"filename": filename,
|
|
"data": data,
|
|
"sha256": sha256,
|
|
"source_relative_path": source_relative_path,
|
|
"extension": extension,
|
|
"mime_type": detected_mime,
|
|
}
|
|
)
|
|
|
|
existing = session.execute(select(Document).where(Document.sha256 == sha256)).scalar_one_or_none()
|
|
if existing and conflict_mode == "ask":
|
|
log_processing_event(
|
|
session=session,
|
|
stage="upload",
|
|
event="Upload conflict detected",
|
|
level="warning",
|
|
document_id=existing.id,
|
|
document_filename=filename,
|
|
payload_json={
|
|
"sha256": sha256,
|
|
"existing_document_id": str(existing.id),
|
|
},
|
|
)
|
|
conflicts.append(
|
|
UploadConflict(
|
|
original_filename=filename,
|
|
sha256=sha256,
|
|
existing_document_id=existing.id,
|
|
)
|
|
)
|
|
|
|
if conflicts and conflict_mode == "ask":
|
|
session.commit()
|
|
return UploadResponse(uploaded=[], conflicts=conflicts)
|
|
|
|
for prepared in prepared_uploads:
|
|
existing = session.execute(
|
|
select(Document).where(Document.sha256 == str(prepared["sha256"]))
|
|
).scalar_one_or_none()
|
|
replaces_document_id = existing.id if existing and conflict_mode == "replace" else None
|
|
|
|
stored_relative_path = store_bytes(str(prepared["filename"]), bytes(prepared["data"]))
|
|
|
|
document = Document(
|
|
original_filename=str(prepared["filename"]),
|
|
source_relative_path=str(prepared["source_relative_path"]),
|
|
stored_relative_path=stored_relative_path,
|
|
mime_type=str(prepared["mime_type"]),
|
|
extension=str(prepared["extension"]),
|
|
sha256=str(prepared["sha256"]),
|
|
size_bytes=len(bytes(prepared["data"])),
|
|
logical_path=logical_path,
|
|
tags=list(normalized_tags),
|
|
replaces_document_id=replaces_document_id,
|
|
metadata_json={"upload": "web"},
|
|
)
|
|
session.add(document)
|
|
session.flush()
|
|
queue.enqueue("app.worker.tasks.process_document_task", str(document.id))
|
|
|
|
log_processing_event(
|
|
session=session,
|
|
stage="upload",
|
|
event="Document record created and queued",
|
|
level="info",
|
|
document=document,
|
|
payload_json={
|
|
"source_relative_path": document.source_relative_path,
|
|
"stored_relative_path": document.stored_relative_path,
|
|
"logical_path": document.logical_path,
|
|
"tags": list(document.tags),
|
|
"replaces_document_id": str(replaces_document_id) if replaces_document_id is not None else None,
|
|
},
|
|
)
|
|
uploaded.append(DocumentResponse.model_validate(document))
|
|
|
|
session.commit()
|
|
return UploadResponse(uploaded=uploaded, conflicts=conflicts)
|
|
|
|
|
|
@router.patch("/{document_id}", response_model=DocumentResponse)
|
|
def update_document(
|
|
document_id: UUID,
|
|
payload: DocumentUpdateRequest,
|
|
session: Session = Depends(get_session),
|
|
) -> DocumentResponse:
|
|
"""Updates document metadata and refreshes semantic index representation."""
|
|
|
|
document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
|
|
if document is None:
|
|
raise HTTPException(status_code=404, detail="Document not found")
|
|
|
|
if payload.original_filename is not None:
|
|
document.original_filename = _sanitize_filename(payload.original_filename)
|
|
if payload.logical_path is not None:
|
|
document.logical_path = payload.logical_path.strip() or "Inbox"
|
|
if payload.tags is not None:
|
|
document.tags = list(dict.fromkeys([tag.strip() for tag in payload.tags if tag.strip()]))[:50]
|
|
|
|
try:
|
|
upsert_document_index(document=document, summary_text=_summary_for_index(document))
|
|
except Exception:
|
|
pass
|
|
|
|
session.commit()
|
|
session.refresh(document)
|
|
return DocumentResponse.model_validate(document)
|
|
|
|
|
|
@router.post("/{document_id}/trash", response_model=DocumentResponse)
|
|
def trash_document(document_id: UUID, session: Session = Depends(get_session)) -> DocumentResponse:
|
|
"""Marks a document as trashed without deleting files from storage."""
|
|
|
|
document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
|
|
if document is None:
|
|
raise HTTPException(status_code=404, detail="Document not found")
|
|
|
|
if document.status != DocumentStatus.TRASHED:
|
|
document.metadata_json = {
|
|
**document.metadata_json,
|
|
"status_before_trash": document.status.value,
|
|
}
|
|
document.status = DocumentStatus.TRASHED
|
|
try:
|
|
upsert_document_index(document=document, summary_text=_summary_for_index(document))
|
|
except Exception:
|
|
pass
|
|
session.commit()
|
|
session.refresh(document)
|
|
|
|
return DocumentResponse.model_validate(document)
|
|
|
|
|
|
@router.post("/{document_id}/restore", response_model=DocumentResponse)
|
|
def restore_document(document_id: UUID, session: Session = Depends(get_session)) -> DocumentResponse:
|
|
"""Restores a trashed document to its previous lifecycle status."""
|
|
|
|
document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
|
|
if document is None:
|
|
raise HTTPException(status_code=404, detail="Document not found")
|
|
|
|
if document.status == DocumentStatus.TRASHED:
|
|
fallback = DocumentStatus.PROCESSED if document.processed_at else DocumentStatus.QUEUED
|
|
restored_status = _resolve_previous_status(document.metadata_json, fallback)
|
|
document.status = restored_status
|
|
metadata_json = dict(document.metadata_json)
|
|
metadata_json.pop("status_before_trash", None)
|
|
document.metadata_json = metadata_json
|
|
try:
|
|
upsert_document_index(document=document, summary_text=_summary_for_index(document))
|
|
except Exception:
|
|
pass
|
|
session.commit()
|
|
session.refresh(document)
|
|
|
|
return DocumentResponse.model_validate(document)
|
|
|
|
|
|
@router.delete("/{document_id}")
|
|
def delete_document(document_id: UUID, session: Session = Depends(get_session)) -> dict[str, int]:
|
|
"""Permanently deletes a document and all descendant archive members including stored files."""
|
|
|
|
root = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
|
|
if root is None:
|
|
raise HTTPException(status_code=404, detail="Document not found")
|
|
if root.status != DocumentStatus.TRASHED:
|
|
raise HTTPException(status_code=400, detail="Move document to trash before permanent deletion")
|
|
|
|
document_tree = _collect_document_tree(session=session, root_document_id=document_id)
|
|
document_ids = [document.id for _, document in document_tree]
|
|
try:
|
|
delete_many_documents_index([str(current_id) for current_id in document_ids])
|
|
except Exception:
|
|
pass
|
|
try:
|
|
delete_many_handwriting_style_documents([str(current_id) for current_id in document_ids])
|
|
except Exception:
|
|
pass
|
|
|
|
deleted_files = 0
|
|
for _, document in document_tree:
|
|
source_path = absolute_path(document.stored_relative_path)
|
|
if source_path.exists() and source_path.is_file():
|
|
source_path.unlink(missing_ok=True)
|
|
deleted_files += 1
|
|
|
|
preview_relative_path = document.metadata_json.get("preview_relative_path")
|
|
if isinstance(preview_relative_path, str):
|
|
preview_path = absolute_path(preview_relative_path)
|
|
if preview_path.exists() and preview_path.is_file():
|
|
preview_path.unlink(missing_ok=True)
|
|
|
|
session.delete(document)
|
|
|
|
session.commit()
|
|
return {"deleted_documents": len(document_tree), "deleted_files": deleted_files}
|
|
|
|
|
|
@router.post("/{document_id}/reprocess", response_model=DocumentResponse)
|
|
def reprocess_document(document_id: UUID, session: Session = Depends(get_session)) -> DocumentResponse:
|
|
"""Re-enqueues a document for extraction and suggestion processing."""
|
|
|
|
document = session.execute(select(Document).where(Document.id == document_id)).scalar_one_or_none()
|
|
if document is None:
|
|
raise HTTPException(status_code=404, detail="Document not found")
|
|
if document.status == DocumentStatus.TRASHED:
|
|
raise HTTPException(status_code=400, detail="Restore document before reprocessing")
|
|
|
|
queue = get_processing_queue()
|
|
document.status = DocumentStatus.QUEUED
|
|
try:
|
|
upsert_document_index(document=document, summary_text=_summary_for_index(document))
|
|
except Exception:
|
|
pass
|
|
session.commit()
|
|
queue.enqueue("app.worker.tasks.process_document_task", str(document.id))
|
|
session.refresh(document)
|
|
return DocumentResponse.model_validate(document)
|