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gh-christianlouis-docuelevate/app/api/duplicates.py
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copilot-swe-agent[bot] 651b48658c fix: resolve merge conflicts with main branch
Merge origin/main into feature branch, resolving 3 conflicts:
- app/api/__init__.py: add classification_rules_router alongside new
  routers from main (audit_logs, i18n, mobile, compliance, translation)
- app/models.py: keep ClassificationRuleModel alongside new models from
  main (MobileDevice, ComplianceTemplate, PipelineRoutingRule)
- tests/conftest.py: import both ClassificationRuleModel and new models
  from main (AuditLog, ComplianceTemplate)

Also renumber migration from 027 to 037 to chain from the latest
migration on main (036_add_document_translation_fields).

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
2026-03-16 22:33:59 +00:00

236 lines
8.0 KiB
Python

"""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
if dup_hashes:
# Fetch all matching files (both original and duplicates) in a single batch query
all_records = (
db.query(FileRecord).filter(FileRecord.filehash.in_(dup_hashes)).order_by(FileRecord.id.asc()).all()
)
# Group records by hash
originals_by_hash = {}
duplicates_by_hash = {h: [] for h in dup_hashes}
for record in all_records:
h = record.filehash
if not record.is_duplicate:
# Store only the first original record per hash, matching the old .first() behaviour
if h not in originals_by_hash:
originals_by_hash[h] = record
else:
duplicates_by_hash[h].append(record)
total_duplicate_files += 1
for filehash in dup_hashes:
original = originals_by_hash.get(filehash)
duplicates = duplicates_by_hash.get(filehash, [])
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,
}