fix(config): default meilisearch_url to http://meilisearch:7700 for Docker/K8s service discovery

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-02-25 13:27:09 +00:00
parent cc4d26aacd
commit ff96340154
12 changed files with 946 additions and 2 deletions
+2
View File
@@ -15,6 +15,7 @@ from app.api.logs import router as logs_router
from app.api.onedrive import router as onedrive_router
from app.api.openai import router as openai_router
from app.api.process import router as process_router
from app.api.search import router as search_router
from app.api.settings import router as settings_router
from app.api.url_upload import router as url_upload_router
@@ -40,3 +41,4 @@ router.include_router(google_drive_router)
router.include_router(logs_router)
router.include_router(settings_router)
router.include_router(url_upload_router)
router.include_router(search_router)
+99
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@@ -0,0 +1,99 @@
"""Full-text search API endpoints.
Provides document search across OCR text, AI metadata, filenames, and tags
via Meilisearch. Designed to serve as the backend for the UI search bar on
the /files page and as a standalone API for integrations.
Future extension point: the OCR text stored in the index is also suitable
for RAG (Retrieval Augmented Generation) chatbot workflows.
"""
import logging
from typing import Optional
from fastapi import APIRouter, Query, Request
from app.auth import require_login
from app.utils.meilisearch_client import search_documents
logger = logging.getLogger(__name__)
router = APIRouter()
@router.get("/search")
@require_login
def search_api(
request: Request,
q: str = Query(..., min_length=1, max_length=512, description="Full-text search query"),
mime_type: Optional[str] = Query(None, description="Filter by MIME type (e.g. application/pdf)"),
document_type: Optional[str] = Query(None, description="Filter by document type (e.g. Invoice)"),
language: Optional[str] = Query(None, description="Filter by language code (e.g. de, en)"),
date_from: Optional[int] = Query(None, description="Filter results created after this Unix timestamp"),
date_to: Optional[int] = Query(None, description="Filter results created before this Unix timestamp"),
page: int = Query(1, ge=1, description="Page number (1-based)"),
per_page: int = Query(20, ge=1, le=100, description="Results per page"),
):
"""Search documents by full text, metadata, and tags.
Searches across:
- Document title and filename
- OCR / extracted text
- Tags, sender, recipient, document type
- Correspondent and reference number
Results are ranked by Meilisearch relevance and include highlighted
snippets showing where the query terms matched.
Query Parameters:
- q: Search query (required)
- mime_type: Filter by MIME type
- document_type: Filter by document type
- language: Filter by language code
- date_from: Unix timestamp lower bound
- date_to: Unix timestamp upper bound
- page: Page number (default: 1)
- per_page: Results per page (default: 20, max: 100)
Example:
```
GET /api/search?q=invoice&document_type=Invoice&date_from=1704067200&page=1&per_page=20
```
Response:
```json
{
"results": [
{
"file_id": 42,
"original_filename": "2026-01-15_Invoice_Amazon.pdf",
"document_title": "Amazon Invoice January 2026",
"document_type": "Invoice",
"tags": ["amazon", "invoice"],
"_formatted": {
"document_title": "Amazon <mark>Invoice</mark> January 2026",
"ocr_text": "...total amount of the <mark>invoice</mark> is..."
}
}
],
"total": 42,
"page": 1,
"pages": 3,
"query": "invoice"
}
```
"""
logger.info(f"Search request: q={q!r}, mime_type={mime_type}, page={page}, per_page={per_page}")
result = search_documents(
q,
mime_type=mime_type,
document_type=document_type,
language=language,
date_from=date_from,
date_to=date_to,
page=page,
per_page=per_page,
)
return result