mirror of
https://github.com/furyhawk/ai_agent.git
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furyhawk
8351e73d39
- Implemented `conversation-store` for managing conversations and messages. - Created `file-preview-store` to handle file preview state. - Added `sidebar-store` for sidebar visibility management. - Developed `theme-store` for theme persistence and management. - Introduced `kb-selection-store` for managing active knowledge base selections with persistence. chore: define API and chat types - Added types for API responses, authentication, chat messages, conversations, and projects. - Defined interfaces for various entities including users, sessions, and message ratings. build: configure TypeScript and testing setup - Set up `tsconfig.json` for TypeScript configuration. - Created `vitest.config.ts` for testing configuration with Vitest. - Added `vitest.setup.ts` for global test setup including mocks for Next.js router and media queries. - Configured Vercel deployment settings in `vercel.json`.
96 lines
3.2 KiB
Python
96 lines
3.2 KiB
Python
"""Admin endpoints for message ratings.
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Provides endpoints for administrators to view and analyze user ratings
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on AI assistant messages.
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The endpoints are:
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- GET /admin/ratings - List all ratings with filtering
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- GET /admin/ratings/summary - Get aggregated rating statistics
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- GET /admin/ratings/export - Export ratings as JSON or CSV
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"""
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from typing import Any
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from fastapi import APIRouter, Query
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from fastapi.responses import JSONResponse, StreamingResponse
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from app.api.deps import CurrentAdmin, MessageRatingSvc
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from app.schemas.message_rating import MessageRatingList, RatingSummary
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router = APIRouter()
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@router.get("", response_model=MessageRatingList)
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async def list_ratings_admin(
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rating_service: MessageRatingSvc,
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_: CurrentAdmin,
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skip: int = Query(0, ge=0),
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limit: int = Query(50, ge=1, le=100),
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rating_filter: int | None = Query(None, ge=-1, le=1, description="Filter by rating value"),
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with_comments_only: bool = Query(False, description="Only show ratings with comments"),
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) -> Any:
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"""List all ratings with filtering (admin only).
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Returns paginated list of ratings with optional filters:
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- rating_filter: Filter by rating value (1 for likes, -1 for dislikes)
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- with_comments_only: Only return ratings that have comments
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Results are ordered by creation date (newest first).
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"""
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items, total = await rating_service.list_ratings(
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skip=skip,
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limit=limit,
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rating_filter=rating_filter,
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with_comments_only=with_comments_only,
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)
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return MessageRatingList(items=items, total=total)
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@router.get("/summary", response_model=RatingSummary)
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async def get_rating_summary(
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rating_service: MessageRatingSvc,
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_: CurrentAdmin,
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days: int = Query(30, ge=1, le=365, description="Number of days to include"),
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) -> Any:
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"""Get aggregated rating statistics (admin only).
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Returns summary statistics including:
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- Total ratings count
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- Like/dislike counts
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- Average rating (-1.0 to 1.0)
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- Count of ratings with comments
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- Daily breakdown of ratings
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The `days` parameter controls the time window (default: 30 days).
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"""
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return await rating_service.get_summary(days=days)
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@router.get("/export")
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async def export_ratings(
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rating_service: MessageRatingSvc,
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_: CurrentAdmin,
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export_format: str = Query("json", description="Export format: 'json' or 'csv'"),
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rating_filter: int | None = Query(None, ge=-1, le=1, description="Filter by rating value"),
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with_comments_only: bool = Query(False, description="Only show ratings with comments"),
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) -> Any:
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"""Export all ratings as JSON or CSV (admin only).
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CSV is streamed row-by-row; JSON collects into a single document.
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"""
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result = await rating_service.export_ratings(
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export_format=export_format,
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rating_filter=rating_filter,
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with_comments_only=with_comments_only,
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)
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if result.media_type == "text/csv":
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return StreamingResponse(
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result.payload,
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media_type="text/csv",
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headers={"Content-Disposition": result.content_disposition},
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)
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return JSONResponse(
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content=result.payload,
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headers={"Content-Disposition": result.content_disposition},
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)
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