Mawoka
105 lines
2.9 KiB
Python
105 lines
2.9 KiB
Python
# SPDX-FileCopyrightText: 2023 Marlon W (Mawoka)
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#
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# SPDX-License-Identifier: MPL-2.0
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import pydantic
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from fastapi import APIRouter
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from classquiz.config import settings, meilisearch
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from uuid import UUID
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from typing import Optional, List, Any
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from meilisearch.errors import MeilisearchApiError
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from classquiz.helpers import meilisearch_init
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settings = settings()
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router = APIRouter()
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class Hit(pydantic.BaseModel):
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id: UUID
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title: str
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description: str
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user: str
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imported_from_kahoot: Optional[bool]
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formatted: Optional["Hit"] = pydantic.Field(None, alias="_formatted")
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class SearchResponse(pydantic.BaseModel):
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hits: List[Hit] | list[None]
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# nbHits: int
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# exhaustiveNbHits: bool
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query: str
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limit: int
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offset: int
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processingTimeMs: int
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class SearchData(pydantic.BaseModel):
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q: str
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offset: Optional[int] = 0
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limit: Optional[int] = 20
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filter: Optional[str] = None
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facetsDistribution: Optional[list[str]] = None
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attributesToRetrieve: Optional[list[str]] = ["*"]
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attributesToCrop: Optional[list[str]] = None
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cropLength: Optional[int] = 200
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attributesToHighlight: Optional[list[str]] = None
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# matches: Optional[bool] = False
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sort: Optional[list[str]] = None
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async def _perform_search(query: str, params: dict) -> dict[str, Any]:
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try:
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index = meilisearch.get_index(settings.meilisearch_index)
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return index.search(query, params)
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except MeilisearchApiError:
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await meilisearch_init()
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index = meilisearch.get_index(settings.meilisearch_index)
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return index.search(query, params)
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@router.post("/", response_model=SearchResponse)
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async def search(data: SearchData):
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query = await _perform_search(
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data.q,
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{
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"offset": data.offset,
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"limit": data.limit,
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"filter": data.filter,
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"cropLength": data.cropLength,
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# "matches": data.matches,
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# "facetsDistribution": data.facetsDistribution,
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"attributesToRetrieve": data.attributesToRetrieve,
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"attributesToCrop": data.attributesToCrop,
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"sort": data.sort,
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"attributesToHighlight": data.attributesToHighlight,
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},
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)
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return SearchResponse(**query)
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@router.get("/", response_model=SearchResponse)
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async def search_get(
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q: str,
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offset: int = 0,
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limit: int = 20,
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filter: str | None = None, # skipcq: PYL-W0622
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cropLength: int = 200,
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# matches: bool = False,
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attributesToHighlight: Optional[str] = "*",
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):
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query = await _perform_search(
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q,
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{
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"offset": offset,
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"limit": limit,
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"filter": filter, # skipcq: PYL-W0622
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"cropLength": cropLength,
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# "matches": matches,
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"attributesToHighlight": [attributesToHighlight],
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},
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)
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return SearchResponse(**query)
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