rene
097295c628
- Freundschaften (pending/accepted), Nutzersuche, Anfragen per Push - Direktnachrichten mit Polling, iMessage-Stil, Deep-Links aus Push - Alle Seiten (map, places, diary, health, dog-profile, sitting, knigge, forum, wiki, walks) vollständig auf Phosphor-Icons migriert - Wikidata-Rassen-Scraper (~833 neue Rassen, lokal gespiegelte Fotos) - TheDogAPI lokal gespiegelt (169 Rassen + Fotos) - Quiz-Result-Cards horizontal (korrekte Bildproportionen) - SW by-v89
113 lines
3.9 KiB
Python
113 lines
3.9 KiB
Python
"""BAN YARO — Hunde-Knigge Routes"""
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from fastapi import APIRouter, Depends, HTTPException, Query
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from pydantic import BaseModel
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from typing import Optional
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from database import db
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from auth import get_current_user, get_current_user_optional
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router = APIRouter()
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# ------------------------------------------------------------------
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# Schemas
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# ------------------------------------------------------------------
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class VoteRequest(BaseModel):
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szenario_id: str
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answer: str
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class KiRatRequest(BaseModel):
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situation: str
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# ------------------------------------------------------------------
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# POST /api/knigge/vote — Stimme abgeben oder ändern (Auth required)
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# ------------------------------------------------------------------
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@router.post("/vote")
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async def vote(data: VoteRequest, user=Depends(get_current_user)):
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if not data.szenario_id or not data.answer:
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raise HTTPException(400, "szenario_id und answer sind erforderlich.")
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with db() as conn:
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# Upsert: vorhandene Stimme ersetzen oder neu anlegen
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conn.execute(
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"""INSERT INTO knigge_votes (szenario_id, user_id, answer)
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VALUES (?, ?, ?)
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ON CONFLICT(szenario_id, user_id) DO UPDATE SET answer=excluded.answer""",
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(data.szenario_id, user["id"], data.answer),
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)
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rows = conn.execute(
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"""SELECT answer, COUNT(*) as cnt
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FROM knigge_votes
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WHERE szenario_id=?
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GROUP BY answer""",
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(data.szenario_id,),
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).fetchall()
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counts = {r["answer"]: r["cnt"] for r in rows}
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return {"counts": counts, "user_answer": data.answer}
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# ------------------------------------------------------------------
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# GET /api/knigge/votes?szenario_id= — Stimmen abrufen (kein Auth nötig)
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# ------------------------------------------------------------------
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@router.get("/votes")
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async def get_votes(
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szenario_id: str = Query(...),
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user=Depends(get_current_user_optional),
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):
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with db() as conn:
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rows = conn.execute(
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"""SELECT answer, COUNT(*) as cnt
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FROM knigge_votes
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WHERE szenario_id=?
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GROUP BY answer""",
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(szenario_id,),
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).fetchall()
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user_answer = None
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if user:
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row = conn.execute(
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"SELECT answer FROM knigge_votes WHERE szenario_id=? AND user_id=?",
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(szenario_id, user["id"]),
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).fetchone()
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if row:
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user_answer = row["answer"]
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counts = {r["answer"]: r["cnt"] for r in rows}
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return {"counts": counts, "user_answer": user_answer}
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# ------------------------------------------------------------------
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# POST /api/knigge/ki-rat — KI-Situationsberater (Auth required)
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# ------------------------------------------------------------------
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@router.post("/ki-rat")
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async def ki_rat(data: KiRatRequest, user=Depends(get_current_user)):
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from ki import complete, KIUnavailableError, KIPremiumRequired
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if not data.situation or not data.situation.strip():
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raise HTTPException(400, "Situation darf nicht leer sein.")
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system = (
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"Du bist ein erfahrener Hundeexperte und Hundetrainer. "
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"Deine Aufgabe ist es, Hundebesitzern kurze, praktische Ratschläge zu geben. "
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"Antworte immer auf Deutsch, freundlich und verständlich."
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)
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prompt = (
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f"Situation: {data.situation.strip()}\n\n"
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"Gib einen kurzen, praktischen Rat (maximal 3 Sätze) was der Hundebesitzer tun sollte."
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)
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try:
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rat = await complete(
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prompt,
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system=system,
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max_tokens=300,
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requires_premium=False,
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user_is_premium=bool(user.get("is_premium")),
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)
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return {"rat": rat}
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except KIPremiumRequired as e:
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raise HTTPException(402, str(e))
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except KIUnavailableError as e:
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raise HTTPException(503, str(e))
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