root
147 lines
5.4 KiB
Python
147 lines
5.4 KiB
Python
from __future__ import annotations
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from datetime import datetime
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from typing import Any
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from uuid import UUID
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from fastapi import APIRouter, Depends, HTTPException
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from pydantic import BaseModel, Field
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from backend.database import db
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from backend.routers.auth import require_roles
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from services.claude_service import analyze_case as claude_analyze
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from services.distance_service import calculate_max_distance
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from services.psychotype_service import (
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detect_psychotype,
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get_psychotype_modifiers,
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get_search_recommendations,
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)
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from services.scoring_service import WeightedScorer
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router = APIRouter(prefix='/api/v1/analyze', tags=['analyze'])
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class AnalysisRequest(BaseModel):
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case_id: UUID | None = None
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age: int | None = None
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gender: str | None = None
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terrain: str | list[str] | None = None
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weather: str | None = None
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elapsed_hours: float | None = None
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last_location: str | None = None
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circumstances: str | None = None
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physical_condition: str | None = None
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experience: str | None = None
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season: str | None = None
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diagnosis_type: list[str] = Field(default_factory=list)
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psychotype_answers: dict[str, Any] = Field(default_factory=dict)
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tnp_lat: float | None = None
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tnp_lon: float | None = None
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lat: float | None = None
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lon: float | None = None
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profiles: list[str] = Field(default_factory=list)
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def _first_terrain(value: str | list[str] | None) -> str | None:
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if isinstance(value, list):
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return value[0] if value else None
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return value
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def _as_case_data(payload: AnalysisRequest) -> dict[str, Any]:
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terrain = _first_terrain(payload.terrain)
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case_data: dict[str, Any] = {
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'age': payload.age,
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'gender': payload.gender,
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'terrain': terrain,
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'terrain_primary': terrain,
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'weather': payload.weather,
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'elapsed_hours': payload.elapsed_hours,
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'last_location': payload.last_location,
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'circumstances': payload.circumstances,
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'physical_condition': payload.physical_condition,
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'experience': payload.experience,
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'season': payload.season,
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'diagnosis_type': payload.diagnosis_type,
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'profiles': list(payload.profiles or []),
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'psychotype_answers': payload.psychotype_answers,
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'lat': payload.lat if payload.lat is not None else payload.tnp_lat,
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'lon': payload.lon if payload.lon is not None else payload.tnp_lon,
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}
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return {k: v for k, v in case_data.items() if v is not None}
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@router.post('', dependencies=[Depends(require_roles(['operator', 'field', 'admin']))])
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async def analyze_case(payload: AnalysisRequest) -> dict[str, Any]:
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case_data = _as_case_data(payload)
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if payload.case_id is not None:
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case = db.get_case(str(payload.case_id))
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if not case:
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raise HTTPException(status_code=404, detail='Case not found')
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case_data = {**case.to_detail(), **case_data}
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max_distance_km = calculate_max_distance(case_data)
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claude_result = await claude_analyze(case_data)
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scorer = WeightedScorer()
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if case_data.get('age'):
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scorer.apply_age_modifiers(int(case_data['age']))
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if case_data.get('season'):
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scorer.apply_season_modifiers(str(case_data['season']))
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if case_data.get('profiles'):
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scorer.apply_profile(list(case_data['profiles']))
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scorer._normalize_weights()
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psychotype = None
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psychotype_modifiers = None
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psychotype_recommendations = None
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if case_data.get('psychotype_answers'):
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psychotype = detect_psychotype(case_data['psychotype_answers'])
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psychotype_modifiers = get_psychotype_modifiers(psychotype)
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psychotype_recommendations = get_search_recommendations(psychotype)
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result = {
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'case_id': str(payload.case_id) if payload.case_id else None,
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'analyzed_at': datetime.utcnow().isoformat(),
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'max_distance_km': max_distance_km,
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'psychotype': psychotype,
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'psychotype_modifiers': psychotype_modifiers,
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'psychotype_recommendations': psychotype_recommendations,
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'weights': scorer.weights,
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'distance_multiplier': scorer.distance_multiplier,
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'urgency': claude_result.urgency,
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'primary_zones': [zone.model_dump() for zone in claude_result.primary_zones],
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'search_radius_km': claude_result.search_radius_km,
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'key_locations': claude_result.key_locations,
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'behavioral_prediction': claude_result.behavioral_prediction,
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'immediate_actions': claude_result.immediate_actions,
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'summary': claude_result.summary,
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'fallback_used': claude_result.fallback_used,
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}
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if payload.case_id is not None:
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db.update_case(str(payload.case_id), analysis_log=result, status='analyzed')
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return result
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@router.post('/combined', dependencies=[Depends(require_roles(['operator', 'field', 'admin']))])
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async def analyze_combined(payload: AnalysisRequest) -> dict[str, Any]:
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return await analyze_case(payload)
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@router.get('/{case_id}')
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def get_analysis(case_id: str) -> dict[str, Any]:
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case = db.get_case(case_id)
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if not case:
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raise HTTPException(status_code=404, detail='Case not found')
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detail = case.to_detail()
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if not detail.get('analysis_log'):
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raise HTTPException(status_code=404, detail=f'No analysis found for case {case_id}')
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return {
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'case_id': case_id,
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'analysis_log': detail['analysis_log'],
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'created_at': detail['created_at'],
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}
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