feat: v2.0 — maintenance module, AI analysis, station power fix

- Add full 检修维护中心 (6.4): 3-type work orders (消缺/巡检/抄表),
  asset management, warehouse, work plans, billing settlement
- Add AI智能分析 tab with LLM-powered diagnostics (StepFun + ZhipuAI)
- Add AI模型配置 settings page (provider, temperature, prompts)
- Fix station power accuracy: use API station total (station_power)
  instead of inverter-level computation — eliminates timing gaps
- Add 7 new DB models, 4 new API routers, 5 new frontend pages
- Migrations: 009 (maintenance expansion) + 010 (AI analysis)
- Version bump: 1.6.1 → 2.0.0

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

core/backend/app/api/v1/settings.py

@@ -20,6 +20,23 @@ DEFAULTS: dict[str, str] = {
     "notification_email_smtp": "",
     "report_auto_schedule_enabled": "false",
     "timezone": "Asia/Shanghai",
+    # AI Model Settings
+    "ai_enabled": "false",
+    "ai_provider": "stepfun",  # stepfun, zhipu
+    "ai_api_base_url": "https://api.stepfun.com/step_plan/v1",
+    "ai_api_key": "1UVGFlMG9zaGrRvRATpBNdjKotLio6x9t6lKRKdxwYD3mEkLU2Itb30yb1rvzWRGs",
+    "ai_model_name": "step-2-16k",
+    "ai_temperature": "0.7",
+    "ai_max_tokens": "2000",
+    "ai_context_length": "8000",
+    "ai_fallback_enabled": "true",
+    "ai_fallback_provider": "zhipu",
+    "ai_fallback_api_base_url": "https://open.bigmodel.cn/api/coding/paas/v4",
+    "ai_fallback_api_key": "0b5fe625dfd64836bfd42cc9608aed42.wnQngOvi7EkAWjyn",
+    "ai_fallback_model_name": "codegeex-4",
+    "ai_system_prompt": "你是一个专业的光伏电站智能运维助手。你的任务是分析光伏电站的设备运行数据、告警信息和历史趋势，提供专业的诊断分析和运维建议。请用中文回答，结构清晰，重点突出。",
+    "ai_diagnostic_prompt": "请分析以下光伏设备的运行数据，给出诊断报告：\n\n设备信息：{device_info}\n运行数据：{metrics}\n告警记录：{alarms}\n\n请按以下结构输出：\n## 运行概况\n## 问题诊断\n## 建议措施\n## 风险预警",
+    "ai_insight_prompt": "请根据以下电站运行数据，生成运营洞察报告：\n\n电站概况：{station_info}\n关键指标：{kpis}\n近期告警：{recent_alarms}\n\n请给出3-5条关键洞察和建议。",
 }
 
 
@@ -32,6 +49,35 @@ class SettingsUpdate(BaseModel):
     notification_email_smtp: str | None = None
     report_auto_schedule_enabled: bool | None = None
     timezone: str | None = None
+    ai_enabled: bool | None = None
+    ai_provider: str | None = None
+    ai_api_base_url: str | None = None
+    ai_api_key: str | None = None
+    ai_model_name: str | None = None
+    ai_temperature: float | None = None
+    ai_max_tokens: int | None = None
+    ai_context_length: int | None = None
+    ai_fallback_enabled: bool | None = None
+    ai_fallback_provider: str | None = None
+    ai_fallback_api_base_url: str | None = None
+    ai_fallback_api_key: str | None = None
+    ai_fallback_model_name: str | None = None
+    ai_system_prompt: str | None = None
+    ai_diagnostic_prompt: str | None = None
+    ai_insight_prompt: str | None = None
+
+
+def _mask_key(key: str) -> str:
+    if not key or len(key) < 8:
+        return "****"
+    return "*" * (len(key) - 4) + key[-4:]
+
+
+async def _get_raw_settings(db: AsyncSession) -> dict[str, str]:
+    """Return merged settings dict WITHOUT masking (for internal use)."""
+    result = await db.execute(select(SystemSetting))
+    db_settings = {s.key: s.value for s in result.scalars().all()}
+    return {**DEFAULTS, **db_settings}
 
 
 @router.get("")
@@ -40,10 +86,7 @@ async def get_settings(
     user: User = Depends(get_current_user),
 ):
     """Return all platform settings as a flat dict."""
-    result = await db.execute(select(SystemSetting))
-    db_settings = {s.key: s.value for s in result.scalars().all()}
-    # Merge defaults with DB values
-    merged = {**DEFAULTS, **db_settings}
+    merged = await _get_raw_settings(db)
     # Cast types for frontend
     return {
         "platform_name": merged["platform_name"],
@@ -54,6 +97,23 @@ async def get_settings(
         "notification_email_smtp": merged["notification_email_smtp"],
         "report_auto_schedule_enabled": merged["report_auto_schedule_enabled"] == "true",
         "timezone": merged["timezone"],
+        # AI settings
+        "ai_enabled": merged["ai_enabled"] == "true",
+        "ai_provider": merged["ai_provider"],
+        "ai_api_base_url": merged["ai_api_base_url"],
+        "ai_api_key": _mask_key(merged["ai_api_key"]),
+        "ai_model_name": merged["ai_model_name"],
+        "ai_temperature": float(merged["ai_temperature"]),
+        "ai_max_tokens": int(merged["ai_max_tokens"]),
+        "ai_context_length": int(merged["ai_context_length"]),
+        "ai_fallback_enabled": merged["ai_fallback_enabled"] == "true",
+        "ai_fallback_provider": merged["ai_fallback_provider"],
+        "ai_fallback_api_base_url": merged["ai_fallback_api_base_url"],
+        "ai_fallback_api_key": _mask_key(merged["ai_fallback_api_key"]),
+        "ai_fallback_model_name": merged["ai_fallback_model_name"],
+        "ai_system_prompt": merged["ai_system_prompt"],
+        "ai_diagnostic_prompt": merged["ai_diagnostic_prompt"],
+        "ai_insight_prompt": merged["ai_insight_prompt"],
     }
 
 
@@ -82,3 +142,15 @@ async def update_settings(
     )
 
     return {"message": "设置已更新"}
+
+
+@router.post("/test-ai")
+async def test_ai_connection(
+    db: AsyncSession = Depends(get_db),
+    user: User = Depends(require_roles("admin")),
+):
+    """Test AI model connection."""
+    from app.services.llm_service import test_connection
+    settings = await _get_raw_settings(db)
+    result = await test_connection(settings)
+    return result