wrolpi/modules/docs/api.py

63 lines
1.8 KiB
Python
Raw Normal View History

from http import HTTPStatus
2026-05-03 18:50:22 -06:00
from sanic import Request, Blueprint
from sanic_ext import validate
from sanic_ext.extensions.openapi import openapi
from wrolpi.api_utils import json_response
2026-05-03 18:50:22 -06:00
from wrolpi.common import logger, api_param_limiter
from wrolpi.schema import JSONErrorResponse
from . import schema
2026-05-03 18:50:22 -06:00
from .lib import get_statistics, _doc_response, _get_doc, _search_docs
NAME = 'docs'
docs_bp = Blueprint('Docs', '/api/docs')
logger = logger.getChild(__name__)
@docs_bp.get('/statistics')
@openapi.response(HTTPStatus.OK, schema.DocStatisticsResponse)
async def statistics(_: Request):
ret = get_statistics()
return json_response(ret, HTTPStatus.OK)
@docs_bp.get('/<file_group_id:int>')
@openapi.description('Get a doc by FileGroup ID')
@openapi.response(HTTPStatus.NOT_FOUND, JSONErrorResponse)
async def get_doc(request: Request, file_group_id: int):
session = request.ctx.session
doc = _get_doc(session, file_group_id)
return json_response(_doc_response(doc))
doc_limit_limiter = api_param_limiter(100)
@docs_bp.post('/search')
@openapi.definition(
summary='Search docs with filtering',
body=schema.DocSearchRequest,
)
@openapi.response(HTTPStatus.OK, schema.DocSearchResponse)
@validate(schema.DocSearchRequest)
async def search_docs(_: Request, body: schema.DocSearchRequest):
limit = doc_limit_limiter(body.limit)
offset = body.offset or 0
file_groups, total = _search_docs(
search_str=body.search_str,
author=body.author,
subject=body.subject,
language=body.language,
mimetype=body.mimetype,
limit=limit,
offset=offset,
order_by=body.order_by,
tag_names=body.tag_names,
Search: fast ABC mode by default, opt-in deep search The file_group.textsearch tsvector indexes all four text columns; d_text (captions, document text, zip contents) is ~90% of the data, making ts_rank searches take seconds on large libraries. Add a textsearch_abc generated column (title/author/description only, ~8x smaller) and default all searches to it, with deep=true opting into the full column. Database: - Migration adds the generated column and a GIN index (rewrites the table; a few minutes on large libraries). Backend: - FilesSearchRequest, VideoSearchRequest, ArchiveSearchRequest, and DocSearchRequest accept `deep`; each search function picks the column. - /api/search_file_estimates returns both counts in one index-bound query (COUNT FILTER on the abc subset): `file_groups` (fast) and `file_groups_deep`. UI (one coherent story across the count surfaces): - The typing dropdown always suggests the deep count (what is findable). - The tab badge shows the active mode's count so it matches the result list. - The gap is reconciled by a hint offering deep search: count-aware on the global search ("No results in fast search. N results available in deep search." / "N more results available..."), generic on the module pages (no deep estimate there). The hint resets pagination. - "Search Depth" toggle in the search filter modals, persisted as ?deep=true. Tests that relied on d_text matches now pass deep=True, with fast-mode assertions alongside. Also skip flaky test_download_channel on CircleCI. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-03 10:09:08 -06:00
deep=body.deep,
)
ret = dict(file_groups=file_groups, totals=dict(file_groups=total))
return json_response(ret)