fix: apply A1/A2/A3 to the live services/ copy and ship it in the backend image

backend/routers/analyze.py imports services.* (root package), not
backend.services.* - so the earlier A1/A2/A3 edits landed in an unused
duplicate. Also COPY/mount services/ so the container can start at all
(ModuleNotFoundError: No module named services).

backend/Dockerfile

@@ -8,6 +8,7 @@ COPY backend/requirements.txt ./requirements.txt
 RUN pip install --no-cache-dir -r requirements.txt
 
 COPY backend ./backend
+COPY services ./services
 
 EXPOSE 8000
 

docker-compose.yml

@@ -44,6 +44,7 @@ services:
         condition: service_healthy
     volumes:
       - ./backend:/app/backend
+      - ./services:/app/services
     command: uvicorn backend.main:app --host 0.0.0.0 --port 8000 --reload
 
   frontend:

services/claude_service.py

@@ -4,6 +4,7 @@ Integrates geo_service zones and scoring_service rankings.
 """
 import os
 import json
+import logging
 from typing import Dict, List, Optional
 from pydantic import BaseModel
 import httpx
@@ -11,6 +12,8 @@ import httpx
 from .geo_service import build_search_zones
 from .scoring_service import WeightedScorer
 
+logger = logging.getLogger(__name__)
+
 
 class PrimaryZone(BaseModel):
     priority: int
@@ -63,7 +66,7 @@ async def analyze_case(case_data: dict) -> AnalysisResult:
             return await analyze_with_claude(case_data, api_key)
         except Exception as e:
             # Логируем ошибку и переходим на fallback
-            print(f"Claude API unavailable: {e}. Using fallback scoring service.")
+            logger.warning(f"Claude API unavailable: {e}. Using fallback scoring service.")
 
     # Fallback: используем только scoring_service
     return await analyze_with_fallback(case_data)
@@ -108,7 +111,7 @@ async def analyze_with_claude(case_data: dict, api_key: str) -> AnalysisResult:
                 zones_data += f"лес {zone['forest_pct']}%, "
                 zones_data += f"дороги {zone['road_density']} км/км²\n"
         except Exception as e:
-            print(f"Geo/scoring service error: {e}")
+            logger.warning(f"Geo/scoring service error: {e}")
 
     # Формируем промпт на русском языке
     prompt = f"""Ты — эксперт по поисково-спасательным операциям (ПСО) МЧС Республики Беларусь. Проанализируй следующий случай пропажи человека и дай структурированные рекомендации.
@@ -154,7 +157,7 @@ async def analyze_with_claude(case_data: dict, api_key: str) -> AnalysisResult:
                 "content-type": "application/json"
             },
             json={
-                "model": "claude-sonnet-4-20250514",
+                "model": "claude-sonnet-5",
                 "max_tokens": 4096,
                 "messages": [
                     {
@@ -244,7 +247,7 @@ async def analyze_with_fallback(case_data: dict) -> AnalysisResult:
             search_radius_km = scorer.distance_multiplier * 2.0
 
         except Exception as e:
-            print(f"Geo/scoring service error in fallback: {e}")
+            logger.warning(f"Geo/scoring service error in fallback: {e}")
 
     # Если зоны не построены, используем базовые
     if not primary_zones:

services/distance_service.py

@@ -118,6 +118,8 @@ def get_terrain_coefficient(terrain: str) -> float:
     Returns:
         Terrain coefficient (0.0 - 1.0)
     """
+    if not terrain:
+        return 0.5
     terrain_lower = terrain.lower()
 
     terrain_map = {
@@ -155,6 +157,8 @@ def get_time_of_day_coefficient(time_of_day: str) -> float:
     Returns:
         Time coefficient (0.0 - 1.0)
     """
+    if not time_of_day:
+        return 1.0
     time_lower = time_of_day.lower()
 
     if 'ночь' in time_lower:
@@ -175,6 +179,8 @@ def get_weather_coefficient(weather: str) -> float:
     Returns:
         Weather coefficient (0.0 - 1.0)
     """
+    if not weather:
+        return 1.0
     weather_lower = weather.lower()
 
     if 'ливень' in weather_lower or 'сильный дождь' in weather_lower: