fix: Add async/await, PDF metadata, and type safety fixes

This commit addresses multiple issues with async operations, PDF metadata
extraction, and type safety in document processing and search.

## Async/Await Fixes
- processor.py:259 - Added await for chunker.chunk_text(content)
- processor.py:270 - Added await for bm25_service.encode_batch(chunk_texts)
- tests/unit/test_document_chunker.py - Converted all 12 test methods to async

## PDF Metadata Enhancement
- pymupdf.py:143 - Added file_size metadata extraction
- pymupdf.py:145-206 - Refactored to extract text page-by-page
  - Manually loop through pages instead of using page_chunks=True
  - Generate page_boundaries metadata for precise page tracking
  - Works around pymupdf.layout.activate() breaking page_chunks=True
- processor.py:32-66 - Added assign_page_numbers() helper function
  - Assigns page numbers to chunks based on overlap with page boundaries
  - Handles chunks spanning multiple pages
- processor.py:298-300 - Call assign_page_numbers() for PDF files

## Type Safety Fixes
- bm25_hybrid.py:184 - Removed int() conversion of doc_id
- semantic.py:131 - Removed int() conversion of doc_id
- viz_routes.py:275 - Removed int() conversion of doc_id
- Added comments documenting that doc_id can be int (notes) or str (file paths)

## Testing
- All 18 tests passing (12 unit + 6 integration)
- No type errors in modified files
- Container logs show successful processing
- Vector viz searches working correctly

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Chris Coutinho
2025-11-20 02:37:07 +01:00
co-authored by Claude
parent 0f24bdb17a
commit b8010270c1
17 changed files with 1432 additions and 35 deletions
+56
View File
@@ -130,6 +130,62 @@ class NextcloudClient:
all_notes = self.notes.get_all_notes()
return await self._notes_search.search_notes(all_notes, query)
async def find_files_by_tag(
self, tag_name: str, mime_type_filter: str | None = None
) -> list[dict]:
"""Find files by system tag name, optionally filtered by MIME type.
This method coordinates tag lookup and file retrieval via WebDAV:
1. Look up the tag ID by name
2. Get all files with that tag (via REPORT with full metadata)
3. Optionally filter by MIME type
Args:
tag_name: Name of the system tag to search for (e.g., "vector-index")
mime_type_filter: Optional MIME type filter (e.g., "application/pdf")
Returns:
List of file dictionaries with WebDAV properties (path, size, content_type, etc.)
Raises:
RuntimeError: If tag lookup or file query fails
Examples:
# Find all files with "vector-index" tag
files = await nc_client.find_files_by_tag("vector-index")
# Find only PDFs with the tag
pdfs = await nc_client.find_files_by_tag("vector-index", "application/pdf")
"""
# Look up tag by name using WebDAV
tag = await self.webdav.get_tag_by_name(tag_name)
if not tag:
logger.debug(f"Tag '{tag_name}' not found, returning empty list")
return []
# Get files with this tag (returns full file info from REPORT)
files = await self.webdav.get_files_by_tag(tag["id"])
if not files:
logger.debug(f"No files found with tag '{tag_name}'")
return []
logger.debug(f"Found {len(files)} files with tag '{tag_name}'")
# Apply MIME type filter if specified
if mime_type_filter:
filtered_files = [
f
for f in files
if f.get("content_type", "").startswith(mime_type_filter)
]
logger.info(
f"Returning {len(filtered_files)} files with tag '{tag_name}' (filtered by {mime_type_filter})"
)
return filtered_files
logger.info(f"Returning {len(files)} files with tag '{tag_name}'")
return files
def _get_webdav_base_path(self) -> str:
"""Helper to get the base WebDAV path for the authenticated user."""
return f"/remote.php/dav/files/{self.username}"