feat(duplicates): add duplicate document detection and management

- Add near_duplicate_threshold config setting (default 0.85)
- New GET /api/duplicates endpoint listing all exact-duplicate groups
- New GET /api/files/{id}/duplicates endpoint returning exact + near-duplicates
- POST /api/ui-upload now returns immediate exact-duplicate warning (respects ENABLE_DEDUPLICATION)
- New /duplicates management UI with Exact Duplicates tab and Near-Duplicate Finder tab
- Add Duplicates link in admin nav menu (desktop + mobile)
- Document new config options in ConfigurationGuide.md and .env.demo
- 20 new tests covering all acceptance criteria

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-03-02 10:21:57 +00:00
parent 3361042186
commit ebea83a750
10 changed files with 1293 additions and 3 deletions
+2
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@@ -9,6 +9,7 @@ from fastapi import APIRouter
from app.api.azure import router as azure_router
from app.api.diagnostic import router as diagnostic_router
from app.api.dropbox import router as dropbox_router
from app.api.duplicates import router as duplicates_router
from app.api.files import router as files_router
from app.api.google_drive import router as google_drive_router
from app.api.logs import router as logs_router
@@ -49,4 +50,5 @@ router.include_router(search_router)
router.include_router(queue_router)
router.include_router(saved_searches_router)
router.include_router(similarity_router)
router.include_router(duplicates_router)
router.include_router(webhooks_router)
+230
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@@ -0,0 +1,230 @@
"""Duplicate document detection and management API endpoints.
Provides endpoints for listing all duplicate groups (exact SHA-256 duplicates) and
for retrieving both exact and near-duplicate matches for a specific document.
Near-duplicate detection is powered by the same text-embedding cosine-similarity
engine used by the ``/api/files/{id}/similar`` endpoint
(see ``app/utils/similarity.py``).
"""
import logging
from typing import Annotated
from fastapi import APIRouter, Depends, HTTPException, Query, Request, status
from sqlalchemy.orm import Session
from app.auth import require_login
from app.config import settings
from app.database import get_db
from app.models import FileRecord
logger = logging.getLogger(__name__)
router = APIRouter()
DbSession = Annotated[Session, Depends(get_db)]
@router.get("/duplicates")
@require_login
def list_duplicate_groups(
request: Request,
db: DbSession,
page: int = Query(1, ge=1, description="Page number"),
per_page: int = Query(25, ge=1, le=200, description="Items per page"),
):
"""List all groups of exact-duplicate documents (same SHA-256 hash).
Returns one entry per duplicate group showing the original document and all
files that were detected as copies of it. Groups are sorted by descending
duplicate count.
Example:
```
GET /api/duplicates
```
Response:
```json
{
"groups": [
{
"filehash": "abc123...",
"original": {"id": 1, "original_filename": "invoice.pdf", ...},
"duplicates": [{"id": 5, "original_filename": "invoice_copy.pdf", ...}],
"duplicate_count": 1
}
],
"total_groups": 1,
"total_duplicate_files": 1,
"pagination": {...}
}
```
"""
# Find all hashes that have at least one duplicate record
dup_hashes_query = db.query(FileRecord.filehash).filter(FileRecord.is_duplicate.is_(True)).distinct()
total_groups = dup_hashes_query.count()
# Paginate hash groups
offset = (page - 1) * per_page
dup_hashes = [row.filehash for row in dup_hashes_query.offset(offset).limit(per_page).all()]
groups = []
total_duplicate_files = 0
for filehash in dup_hashes:
# Find the original (non-duplicate) record with this hash
original = (
db.query(FileRecord)
.filter(FileRecord.filehash == filehash, FileRecord.is_duplicate.is_(False))
.order_by(FileRecord.id.asc())
.first()
)
# Find all duplicate records for this hash
duplicates = (
db.query(FileRecord)
.filter(FileRecord.filehash == filehash, FileRecord.is_duplicate.is_(True))
.order_by(FileRecord.id.asc())
.all()
)
total_duplicate_files += len(duplicates)
groups.append(
{
"filehash": filehash,
"original": _file_record_to_dict(original) if original else None,
"duplicates": [_file_record_to_dict(d) for d in duplicates],
"duplicate_count": len(duplicates),
}
)
total_pages = (total_groups + per_page - 1) // per_page if total_groups > 0 else 1
return {
"groups": groups,
"total_groups": total_groups,
"total_duplicate_files": total_duplicate_files,
"pagination": {
"page": page,
"per_page": per_page,
"total": total_groups,
"pages": total_pages,
"next": str(request.url.include_query_params(page=page + 1)) if page < total_pages else None,
"previous": str(request.url.include_query_params(page=page - 1)) if page > 1 else None,
},
}
@router.get("/files/{file_id}/duplicates")
@require_login
def get_file_duplicates(
request: Request,
file_id: int,
db: DbSession,
near_duplicate_limit: int = Query(5, ge=1, le=20, description="Maximum near-duplicates to return"),
near_duplicate_threshold: float = Query(
-1.0,
ge=-1.0,
le=1.0,
description="Minimum similarity score for near-duplicates; -1 uses the configured default",
),
):
"""Get exact and near-duplicate documents for the specified file.
**Exact duplicates** share the same SHA-256 hash.
**Near-duplicates** have a text-embedding cosine similarity score ≥
``NEAR_DUPLICATE_THRESHOLD`` (configurable; default 0.85).
Near-duplicate detection requires OCR text to be available for both the
target file and candidate files. Files without OCR text are excluded.
Example:
```
GET /api/files/42/duplicates
```
Response:
```json
{
"file_id": 42,
"exact_duplicates": [
{"id": 7, "original_filename": "invoice.pdf", "is_duplicate": true, "duplicate_of_id": 42, ...}
],
"near_duplicates": [
{"file_id": 15, "original_filename": "invoice_jan.pdf", "similarity_score": 0.92, ...}
],
"near_duplicate_threshold": 0.85
}
```
"""
file_record = db.query(FileRecord).filter(FileRecord.id == file_id).first()
if not file_record:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="File not found")
# --- Exact duplicates ---
# Case 1: This file is the original — find all records that are duplicates of it
exact_duplicates_of_this = (
db.query(FileRecord)
.filter(FileRecord.filehash == file_record.filehash, FileRecord.id != file_id)
.order_by(FileRecord.id.asc())
.all()
)
# Case 2: This file itself is a duplicate — find the original
is_self_duplicate = file_record.is_duplicate
duplicate_of_original: FileRecord | None = None
if is_self_duplicate and file_record.duplicate_of_id:
duplicate_of_original = db.query(FileRecord).filter(FileRecord.id == file_record.duplicate_of_id).first()
exact_duplicate_dicts = [_file_record_to_dict(f) for f in exact_duplicates_of_this]
# --- Near-duplicates (embedding-based) ---
effective_threshold = (
near_duplicate_threshold if near_duplicate_threshold >= 0.0 else settings.near_duplicate_threshold
)
near_duplicates: list[dict] = []
if file_record.ocr_text and file_record.ocr_text.strip():
try:
from app.utils.similarity import find_similar_documents
near_duplicates = find_similar_documents(
db,
file_id,
limit=near_duplicate_limit,
threshold=effective_threshold,
)
except Exception as e:
logger.warning(f"Near-duplicate detection failed for file {file_id}: {e}")
near_duplicates = []
return {
"file_id": file_id,
"is_duplicate": is_self_duplicate,
"duplicate_of": _file_record_to_dict(duplicate_of_original) if duplicate_of_original else None,
"exact_duplicates": exact_duplicate_dicts,
"near_duplicates": near_duplicates,
"near_duplicate_threshold": effective_threshold,
"exact_duplicate_count": len(exact_duplicate_dicts),
"near_duplicate_count": len(near_duplicates),
}
def _file_record_to_dict(file_record: FileRecord | None) -> dict | None:
"""Serialise a ``FileRecord`` to a plain dict for JSON responses."""
if file_record is None:
return None
return {
"id": file_record.id,
"original_filename": file_record.original_filename,
"filehash": file_record.filehash,
"file_size": file_record.file_size,
"mime_type": file_record.mime_type,
"is_duplicate": file_record.is_duplicate,
"duplicate_of_id": file_record.duplicate_of_id,
"document_title": file_record.document_title,
"created_at": file_record.created_at.isoformat() if file_record.created_at else None,
}
+33 -2
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@@ -23,6 +23,7 @@ from app.models import FileProcessingStep, FileRecord, ProcessingLog
from app.tasks.convert_to_pdf import convert_to_pdf
from app.tasks.process_document import process_document
from app.utils.allowed_types import ALLOWED_EXTENSIONS, ALLOWED_MIME_TYPES, IMAGE_MIME_TYPES
from app.utils.file_operations import hash_file
from app.utils.file_queries import apply_status_filter
from app.utils.file_status import get_files_processing_status
from app.utils.filename_utils import sanitize_filename
@@ -1212,7 +1213,7 @@ def download_file(
@router.post("/ui-upload")
@require_login
async def ui_upload(request: Request, file: UploadFile = File(...)):
async def ui_upload(request: Request, db: DbSession, file: UploadFile = File(...)):
"""Endpoint to accept a user-uploaded file and enqueue it for processing."""
workdir = settings.workdir
@@ -1357,9 +1358,39 @@ async def ui_upload(request: Request, file: UploadFile = File(...)):
logger.warning(f"Unsupported MIME type {mime_type} for {target_path}, attempting conversion")
task = convert_to_pdf.delay(target_path, original_filename=safe_filename)
return {
# Check for exact duplicates (same SHA-256 hash) before returning.
# This gives the caller an immediate warning without waiting for the pipeline.
# Only performed when deduplication is enabled in settings.
exact_duplicate_warning = None
if settings.enable_deduplication:
try:
filehash = hash_file(target_path)
existing = (
db.query(FileRecord)
.filter(FileRecord.filehash == filehash, FileRecord.is_duplicate.is_(False))
.order_by(FileRecord.id.asc())
.first()
)
if existing:
exact_duplicate_warning = {
"duplicate_type": "exact",
"original_file_id": existing.id,
"original_filename": existing.original_filename,
"message": (
"This file appears to be an exact duplicate of an already-processed document. "
"It will still be queued but will be flagged as a duplicate."
),
}
logger.info(f"Exact duplicate detected on upload: '{safe_filename}' matches file ID {existing.id}")
except Exception as e:
logger.warning(f"Duplicate check failed for uploaded file '{safe_filename}': {e}")
response: dict = {
"task_id": task.id,
"status": "queued",
"original_filename": safe_filename,
"stored_filename": target_filename,
}
if exact_duplicate_warning:
response["duplicate_warning"] = exact_duplicate_warning
return response