fix(scheduling): fix vehicle type classification and algorithm candidate matching

- classifyVehicleType now parses dic_type.dic_name (e.g. "4.5吨冷链车") instead of raw model code
- Remove overly strict completionRate >= 0.8 filter for hopeless candidates
- Use vehicle's yearTarget as fallback when inventory has no assessment target
- Filter out suggestions with no candidates (not actionable)
- estimatedGain counts rescue_hopeless suggestions as potential gains

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

docker-compose.yml

@@ -5,10 +5,10 @@ services:
     image: harbor.lnh2e.com/lingniu-v1/ln-bi:main-1.0.0
     network_mode: host
     environment:
-      DB_HOST: "192.168.130.111"
+      DB_HOST: "47.101.148.99"
       DB_PORT: "3306"
-      DB_USER: "linsset_01"
-      DB_PASSWORD: "LN3456#&"
+      DB_USER: "root"
+      DB_PASSWORD: "LN#Passw0rd@2026"
       DB_NAME: "lingniu_prod"
       SERVER_PORT: "8111"
       EXTERNAL_API_BASE: "https://lnh2e.com"