更新redis的使用和数据汇总性能优化
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.gitignore
vendored
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vendored
@ -23,3 +23,24 @@ target
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# virtual machine crash logs, see http://www.java.com/en/download/help/error_hotspot.xml
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hs_err_pid*
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# ============================================================
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# Node.js / Frontend
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# ============================================================
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node_modules/
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dist/
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.DS_Store
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*.local
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# ============================================================
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# Environment
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# ============================================================
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.env
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.env.local
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.env.*.local
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# ============================================================
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# Deploy
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# ============================================================
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weather-data-deploy/
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weather-data-deploy.tar.gz
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208
CLAUDE.md
208
CLAUDE.md
@ -2,53 +2,58 @@
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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> **See also** `AGENTS.md` for module breakdown, framework choices, conventions, and gotchas. This file supplements it with build commands and architectural patterns.
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> **See also** `AGENTS.md` for module breakdown, framework choices, conventions, and gotchas.
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## Build & Run
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---
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```bash
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# Full build (tests skipped by default per pom.xml <skipTests>true</skipTests>)
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mvn clean install -DskipTests
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## Project overview
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# Build with tests
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mvn clean install -DskipTests=false
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**weather-data** is a full-stack meteorological data analysis platform: Java 17 / Spring Boot 3.5 multi-module backend + Vue 3 / Vite 5 / TypeScript frontend.
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# Run single test class
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mvn -pl system-admin -DskipTests=false -Dtest=YourTestClass test
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```
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**Run applications** from IntelliJ:
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- **Admin backend**: `com.weather.AdminApplication` (`system-admin/`) — port 8080, context path `/system-admin`
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- **API service**: `com.weather.ApiApplication` (`system-api/`) — port 8081
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- **Code generator**: `com.weather.GeneratorApplication` (`renren-generator/`)
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weather-data/
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├── system-common/ → shared Java lib
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├── system-admin/ → admin backend (port 8080, /system-admin)
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├── system-api/ → external API service (port 8081)
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├── system-dynamic-datasource → multi-DS support (placeholder)
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├── renren-generator/ → code generator
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└── weather-data-ui/ → Vue 3 SPA frontend
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```
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**Database**: `weather_data_system` (MySQL). Init from `system-admin/db/mysql.sql`. Default admin: `admin` / `admin`.
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## Architecture
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---
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### Multi-module Maven project (Java 17, Spring Boot 3.5.x)
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## Backend
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### Build & Run
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```bash
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mvn clean install -DskipTests # full build (tests skipped by default)
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mvn clean install -DskipTests=false # build with tests
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mvn -pl system-admin -DskipTests=false -Dtest=YourTestClass test # single test
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```
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weather-data (pom)
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├── system-common → shared lib (all modules depend on this)
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├── system-admin → main admin backend
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├── system-api → external API service
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├── system-dynamic-datasource → multi-DS support (placeholder)
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└── renren-generator → code generator
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```
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Launch from IntelliJ:
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- `AdminApplication` (`system-admin/`) → port 8080, context `/system-admin`
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- `ApiApplication` (`system-api/`) → port 8081
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- `GeneratorApplication` (`renren-generator/`)
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### Service layer pattern
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All services extend one of two base classes from `system-common`:
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- **`CrudService<Dao, Entity, DTO>`** — generic CRUD with `page()`, `get()`, `save()`, `update()`, `delete()`. The DTO type param is used for query criteria wrapping.
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- **`BaseService<Dao>`** — lighter base without DTO generic.
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Two base classes in `system-common`:
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New modules follow this convention:
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| Base | Purpose |
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|---|---|
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| `CrudService<Dao, Entity, DTO>` | Generic CRUD: `page()`, `get()`, `save()`, `update()`, `delete()` |
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| `BaseService<Dao>` | Lighter base without DTO generic |
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Module convention:
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```
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modules/<name>/
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├── controller/ → @RestController, returns Result
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├── dao/ → extends BaseMapper<Entity> (MyBatis-Plus)
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├── dto/ → request/query DTOs (often extends BaseEntity for auto-fill)
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├── dto/ → request/query DTOs (often extends BaseEntity)
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├── entity/ → @TableName JPA entity
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├── service/ → interface extends CrudService/BaseService
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│ └── impl/ → @Service implementation
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@ -60,48 +65,129 @@ Mapper XMLs: `src/main/resources/mapper/<domain>/**/*.xml`
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### Key cross-cutting mechanisms
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| Mechanism | How it works |
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| Mechanism | How |
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|---|---|
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| **Data permissions** | `@DataFilter` annotation on controller → `DataFilterAspect` → `DataFilterInterceptor` injects dept-based SQL filtering into MyBatis |
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| **Auto-fill** | `FieldMetaObjectHandler` fills `creator`/`createDate`/`updater`/`updateDate` via MyBatis-Plus meta-object handler |
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| **Scheduled jobs** | Quartz. Jobs in `schedule_job` table, implement `ITask`, annotated `@Component("beanName")`. `JobCommandLineRunner` auto-registers at startup |
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| **File scanning** | Three-part weather module: `WatchService` (primary, `FileWatchServiceManager`) + Quartz fallback (`FileScanTask`) + startup scan (`FileScanStartupRunner`). Files served via `FileDownloadController` |
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| **Excel import** | EasyExcel with async progress tracking via `WeatherDataImportManager` |
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| **API responses** | Always wrapped in `Result` class (`system-common`) |
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| **Validation** | Hibernate Validator on DTOs. XSS filter via `XssFilter` |
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| **Data permissions** | `@DataFilter` on controller → `DataFilterAspect` → MyBatis interceptor injects dept-based SQL |
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| **Auto-fill** | `FieldMetaObjectHandler` fills creator/date via MyBatis-Plus |
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| **Scheduled jobs** | Quartz. `schedule_job` table, implements `ITask`, `@Component("beanName")` |
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| **File scanning** | `WatchService` (primary) + Quartz fallback (`FileScanTask`) + startup runner |
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| **Excel import** | EasyExcel + async progress via `WeatherDataImportManager` |
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| **API responses** | Always wrapped in `Result` |
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| **Validation** | Hibernate Validator. XSS filter via `XssFilter` |
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### PK strategy
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### PK & Auth
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`ASSIGN_ID` (Snowflake via `IdUtil.getSnowflakeNextId()`), set globally in MyBatis-Plus config. All entities extend `BaseEntity` which declares the `id` field.
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- PK: `ASSIGN_ID` (Snowflake). All entities extend `BaseEntity`.
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- Auth: Apache Shiro 1.12 (Jakarta) + OAuth2 token. Login → `token` header.
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- API module: `@Login` annotation + `AuthorizationInterceptor`.
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### Auth flow
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### Redis & Docs
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- Apache Shiro 1.12 (Jakarta classifier) with OAuth2 token auth
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- Login → get token → pass `token` header on subsequent requests
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- API module (`system-api`) uses `@Login` annotation + `AuthorizationInterceptor`
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- Redis: optional, `project-options.redis.open` (default `false` in dev). `RedisAspect`.
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- API docs: Knife4j at `/doc.html`, **disabled by default** (`knife4j.enable: false`).
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### Redis
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Optional, controlled by `project-options.redis.open` (default `false` in dev). Cache aspect: `RedisAspect`.
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### API docs
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Knife4j (Swagger UI) at `/doc.html`. **Disabled by default** (`knife4j.enable: false`). Enable only in dev profile.
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## Custom Weather Domain
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### Weather domain (backend)
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Three sub-modules under `system-admin/.../modules/weather/`:
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| Sub-module | Purpose | Key detail |
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|---|---|---|
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| `dailydata/` | Daily weather observations | Excel batch import (async), EasyExcel listener pattern |
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| `station/` | Weather station CRUD | Linked to dept via `dept_id`, data-permission aware |
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| `filescan/` | File monitoring & serving | WatchService → record → serve via `FileDownloadController` |
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| Module | Purpose |
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|---|---|
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| `dailydata/` | Daily observations, Excel batch import (async), EasyExcel listener |
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| `station/` | Weather station CRUD, linked to dept via `dept_id` |
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| `filescan/` | File monitoring + serving. Format: `<地区>地区-<指标>.png` / `<地区>地区631信息.txt` |
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File format convention (from `需求文档.md`): `<地区>地区-<指标>.png` for charts, `<地区>地区631信息.txt` for text data. `FileNameParser` extracts region/indicator keywords.
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Parameter `scan_root_path` in `sys_params` controls file-scan base directory.
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## Database
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---
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Custom tables: `weather_daily_data`, `weather_station`, `weather_file_scan_record`.
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Seed scripts in `system-admin/db/` (mysql.sql + Oracle/SQLServer/PostgreSQL/Dameng variants).
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Parameter `scan_root_path` in `sys_params` controls the file-scan base directory.
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## Frontend (`weather-data-ui/`)
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### Commands
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```bash
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npm install # install dependencies
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npm run dev # Vite dev server
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npm run build / npm run build:prod # production build
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npm run serve # preview production build
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npm run lint # lint with autofix
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npx vue-tsc --noEmit # type-check
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```
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### Stack
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- Vite 5 + Vue 3 + TypeScript SPA
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- Element Plus + Element Plus Icons for UI
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- `vue-router` with hash history
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- Pinia for state management
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- Axios via `src/utils/http.ts` + `src/service/baseService.ts`
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- API base URL: `VITE_APP_API` env var, overridable at runtime by `window.SITE_CONFIG.apiURL`
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### Routing & state
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- `src/router/base.ts`: base routes (`/`, `/home`, `/login`, etc.)
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- `src/router/index.ts`: `beforeEach` guard — auth check, dynamic route registration from backend menus, tab management
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- `src/store/index.ts` (`useAppStore`): user, permissions, dicts, dynamic routes, tabs
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- `src/store/importTasks.ts`: long-running import task state for header indicator
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- `src/utils/router.ts`: converts backend menu records → Vue router records, flattens nested routes for keep-alive
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Layout is event-driven: `src/layout/` shell + `mitt` event bus (`src/utils/emits.ts`). Trace both the Pinia store and `mitt` events when changing navigation/sidebar/tabs/theme.
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### Weather frontend module
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The home dashboard (`src/views/home.vue`) uses a **composable-based architecture**. All domain logic is extracted from the SFC into `src/composables/`:
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| Composable | Responsibility |
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|---|---|
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| `useWeatherConstants.ts` | Rain levels, temperature thresholds, filter field definitions, `fmtVal()`, level/class helpers |
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| `useWeatherFilter.ts` | Filter state, toggle/reset/match logic, `matchOp()` |
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| `useWeatherStats.ts` | `computeStats()`, `buildStatCards()`, `buildSummary()`, `rainLevelDistribution`, `WeatherDataRow` type |
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| `useWeatherChart.ts` | ECharts dynamic import, `buildChartOption()`, `ResizeObserver`, precise trigger key (not deep watch) |
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| `useWeatherExport.ts` | PNG/PDF export with dynamic `html2canvas`/`jspdf` imports, loading indicator |
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Supporting utils:
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- `src/utils/chartBuilder.ts` — chart option builders
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- `src/utils/exportReport.ts` — shared `exportPNG()`/`exportPDF()`
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### Critical rules learned (must follow)
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#### 1. Null ≠ zero — missing data MUST be preserved as null
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When mapping backend API responses to frontend models, **never** default missing numeric values to `0`. Rainfall of `0mm` means "no rain that day" (valid measurement); `null` means "no data available" (missing record). Use `: null` not `: 0` in data mapping, and display `"—"` for null values via `fmtVal()`.
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```typescript
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// ✅ Correct
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rainfall: row.rain2020 != null ? +row.rain2020 : null,
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// ❌ Wrong — confuses "no data" with "measured zero"
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rainfall: row.rain2020 != null ? +row.rain2020 : 0,
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```
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All helper functions (`rainLevelLabel`, `tmaxValClass`, `tminValClass`, `rainValClass`) must accept `number | null` and return `"—"` or `""` for null. Stats computations (`computeStats`, `fStats`, `filterExtremes`) must skip null values in sums and extreme comparisons. ECharts will naturally render null as gaps in line/bar series.
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#### 2. Heavy libraries must use dynamic imports
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`html2canvas`, `jspdf`, and `echarts` are NOT imported at module level. They are loaded via `await import()` only when the user triggers export or chart rendering. This keeps them out of the initial bundle (~600KB saved).
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#### 3. Google Fonts go in index.html, not scoped styles
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Never use `@import url("https://fonts.googleapis.com/...")` inside Vue scoped styles — it blocks rendering. Instead, add `<link rel="preconnect">` + `<link rel="stylesheet">` in `index.html`.
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#### 4. Export must show user feedback
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When exporting images/PDFs, always show a loading indicator (`ElLoading.service` fullscreen) and a success/failure message (`ElMessage`). Disable the export button during rendering to prevent double-clicks.
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#### 5. Deep watchers on filter objects are banned
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Never use `watch(filters, callback, { deep: true })`. Instead, derive a precise computed trigger key that only includes fields actually affecting the output (e.g., `dataHash`, `filteredHash`, `extremesVersion`) and watch that.
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### Common page pattern
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Admin CRUD pages use `src/hooks/useView.ts` for shared list-page workflow: query, paging, sorting, delete, export, permission checks, dictionary lookup. Check whether behavior comes from `useView` before refactoring these screens.
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### Other conventions
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- Reusable selector/tree controls: `src/components/sys-*`, registered globally in `main.ts`
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- SVG icons: `vite-plugin-svg-icons` from `src/assets/icons/svg/`
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- Tests: no test runner configured yet
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---
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## Repository notes
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- `README.md` does not contain substantive guidance; operational context lives in this file and `AGENTS.md`.
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- `weather-data-ui/CLAUDE.md` is superseded by this merged file — the root `CLAUDE.md` covers both frontend and backend.
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@ -1,14 +1,204 @@
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version: '2'
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# ============================================================
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# Weather Data System - Docker Compose 部署编排
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#
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# 前置条件:
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# 1. 安装 Docker Engine 20.10+ 和 Docker Compose v2
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# 2. 复制 .env 文件并修改配置
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# 3. 确保 JAR 文件已构建到对应 target/ 目录
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# 4. 确保前端已构建到 weather-data-ui/dist/
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#
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# 启动: docker compose up -d
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# 停止: docker compose down
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# 日志: docker compose logs -f [服务名]
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# ============================================================
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services:
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renren-admin:
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image: renren/renren-admin
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ports:
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- "8080:8080"
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# ==========================================================
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# MySQL 数据库
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# ==========================================================
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mysql:
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image: mysql:8.0
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container_name: weather-mysql
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restart: unless-stopped
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environment:
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- spring.profiles.active=dev
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renren-api:
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image: renren/renren-api
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MYSQL_ROOT_PASSWORD: ${MYSQL_ROOT_PASSWORD}
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MYSQL_DATABASE: ${MYSQL_DATABASE:-weather_data_system}
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MYSQL_USER: ${MYSQL_USER:-weather}
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MYSQL_PASSWORD: ${MYSQL_PASSWORD}
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TZ: Asia/Shanghai
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ports:
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- "8081:8081"
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- "${MYSQL_PORT:-3306}:3306"
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volumes:
|
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- mysql-data:/var/lib/mysql
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- ./deploy/mysql/init:/docker-entrypoint-initdb.d:ro # 初始化 SQL
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command:
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- --character-set-server=utf8mb4
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- --collation-server=utf8mb4_unicode_ci
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- --default-time-zone=+08:00
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- --max-allowed-packet=128M
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healthcheck:
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test: ["CMD", "mysqladmin", "ping", "-h", "localhost", "-u", "root", "-p${MYSQL_ROOT_PASSWORD}"]
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interval: 10s
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timeout: 5s
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retries: 10
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start_period: 60s
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networks:
|
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- weather-net
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# ==========================================================
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# Redis 缓存
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# ==========================================================
|
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redis:
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image: redis:7-alpine
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container_name: weather-redis
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restart: unless-stopped
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command:
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- redis-server
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- --appendonly yes
|
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- --requirepass ${REDIS_PASSWORD}
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ports:
|
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- "${REDIS_PORT:-6379}:6379"
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volumes:
|
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- redis-data:/data
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healthcheck:
|
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test: ["CMD", "redis-cli", "-a", "${REDIS_PASSWORD}", "ping"]
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interval: 10s
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timeout: 5s
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retries: 5
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networks:
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- weather-net
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# ==========================================================
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# 管理后台 (Spring Boot Admin)
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# ==========================================================
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admin:
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build:
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context: ./system-admin
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dockerfile: Dockerfile
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image: weather-data-admin:${APP_VERSION:-latest}
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container_name: weather-admin
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restart: unless-stopped
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depends_on:
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mysql:
|
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condition: service_healthy
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redis:
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condition: service_healthy
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environment:
|
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- spring.profiles.active=dev
|
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SPRING_PROFILES_ACTIVE: ${SPRING_PROFILES_ACTIVE:-prod}
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JAVA_OPTS: ${JAVA_OPTS:--Xms256m -Xmx512m -XX:+UseG1GC}
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TZ: Asia/Shanghai
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# 覆盖 application.yml 中的数据库/Redis 配置
|
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SPRING_DATASOURCE_DRUID_URL: jdbc:mysql://mysql:3306/${MYSQL_DATABASE:-weather_data_system}?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true
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SPRING_DATASOURCE_DRUID_USERNAME: ${MYSQL_USER:-weather}
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SPRING_DATASOURCE_DRUID_PASSWORD: ${MYSQL_PASSWORD}
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SPRING_DATA_REDIS_HOST: redis
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SPRING_DATA_REDIS_PORT: 6379
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SPRING_DATA_REDIS_PASSWORD: ${REDIS_PASSWORD}
|
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ports:
|
||||
- "${ADMIN_PORT:-8080}:8080"
|
||||
volumes:
|
||||
- admin-logs:/app/logs
|
||||
- admin-uploads:/app/upload
|
||||
networks:
|
||||
- weather-net
|
||||
|
||||
# ==========================================================
|
||||
# API 服务
|
||||
# ==========================================================
|
||||
api:
|
||||
build:
|
||||
context: ./system-api
|
||||
dockerfile: Dockerfile
|
||||
image: weather-data-api:${APP_VERSION:-latest}
|
||||
container_name: weather-api
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
mysql:
|
||||
condition: service_healthy
|
||||
redis:
|
||||
condition: service_healthy
|
||||
environment:
|
||||
SPRING_PROFILES_ACTIVE: ${SPRING_PROFILES_ACTIVE:-prod}
|
||||
JAVA_OPTS: ${JAVA_OPTS:--Xms256m -Xmx512m -XX:+UseG1GC}
|
||||
TZ: Asia/Shanghai
|
||||
SPRING_DATASOURCE_DRUID_URL: jdbc:mysql://mysql:3306/${MYSQL_DATABASE:-weather_data_system}?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true
|
||||
SPRING_DATASOURCE_DRUID_USERNAME: ${MYSQL_USER:-weather}
|
||||
SPRING_DATASOURCE_DRUID_PASSWORD: ${MYSQL_PASSWORD}
|
||||
SPRING_DATA_REDIS_HOST: redis
|
||||
SPRING_DATA_REDIS_PORT: 6379
|
||||
SPRING_DATA_REDIS_PASSWORD: ${REDIS_PASSWORD}
|
||||
ports:
|
||||
- "${API_PORT:-8081}:8081"
|
||||
volumes:
|
||||
- api-logs:/app/logs
|
||||
- api-uploads:/app/upload
|
||||
networks:
|
||||
- weather-net
|
||||
|
||||
# ==========================================================
|
||||
# 前端 UI
|
||||
# ==========================================================
|
||||
ui:
|
||||
build:
|
||||
context: ./weather-data-ui
|
||||
dockerfile: ${UI_DOCKERFILE:-Dockerfile.offline}
|
||||
image: weather-data-ui:${APP_VERSION:-latest}
|
||||
container_name: weather-ui
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
- admin
|
||||
- api
|
||||
networks:
|
||||
- weather-net
|
||||
|
||||
# ==========================================================
|
||||
# Gateway - 统一入口 Nginx 反向代理
|
||||
# ==========================================================
|
||||
gateway:
|
||||
image: nginx:alpine
|
||||
container_name: weather-gateway
|
||||
restart: unless-stopped
|
||||
depends_on:
|
||||
- ui
|
||||
- admin
|
||||
- api
|
||||
ports:
|
||||
- "${GATEWAY_PORT:-80}:80"
|
||||
volumes:
|
||||
- ./deploy/nginx/nginx.conf:/etc/nginx/conf.d/default.conf:ro
|
||||
- gateway-logs:/var/log/nginx
|
||||
healthcheck:
|
||||
test: ["CMD", "wget", "-qO-", "http://localhost/"]
|
||||
interval: 30s
|
||||
timeout: 5s
|
||||
retries: 3
|
||||
networks:
|
||||
- weather-net
|
||||
|
||||
# ============================================================
|
||||
# 数据卷 (持久化存储)
|
||||
# ============================================================
|
||||
volumes:
|
||||
mysql-data:
|
||||
name: weather-mysql-data
|
||||
redis-data:
|
||||
name: weather-redis-data
|
||||
admin-logs:
|
||||
name: weather-admin-logs
|
||||
admin-uploads:
|
||||
name: weather-admin-uploads
|
||||
api-logs:
|
||||
name: weather-api-logs
|
||||
api-uploads:
|
||||
name: weather-api-uploads
|
||||
gateway-logs:
|
||||
name: weather-gateway-logs
|
||||
|
||||
# ============================================================
|
||||
# 网络
|
||||
# ============================================================
|
||||
networks:
|
||||
weather-net:
|
||||
name: weather-net
|
||||
driver: bridge
|
||||
|
||||
@ -1,7 +1,23 @@
|
||||
FROM java:8
|
||||
FROM eclipse-temurin:17-jre-alpine
|
||||
|
||||
LABEL maintainer="weather-data"
|
||||
LABEL description="Weather Data System - Admin Service"
|
||||
|
||||
RUN apk add --no-cache tzdata curl && \
|
||||
cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
|
||||
echo "Asia/Shanghai" > /etc/timezone
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
EXPOSE 8080
|
||||
|
||||
VOLUME /tmp
|
||||
ADD renren-admin.jar /app.jar
|
||||
RUN bash -c 'touch /app.jar'
|
||||
ENTRYPOINT ["java","-jar","/app.jar"]
|
||||
ARG JAR_FILE=target/system-admin.jar
|
||||
COPY ${JAR_FILE} /app/app.jar
|
||||
|
||||
ENV JAVA_OPTS="-Xms256m -Xmx512m -XX:+UseG1GC -Djava.security.egd=file:/dev/./urandom"
|
||||
ENV SPRING_PROFILES_ACTIVE=prod
|
||||
|
||||
HEALTHCHECK --interval=30s --timeout=10s --retries=3 --start-period=60s \
|
||||
CMD curl -f http://localhost:8080/system-admin/actuator/health || exit 1
|
||||
|
||||
ENTRYPOINT exec java ${JAVA_OPTS} -jar /app/app.jar
|
||||
|
||||
@ -9,6 +9,8 @@ import com.weather.modules.weather.dailydata.vo.WeatherExcelVO;
|
||||
import com.weather.modules.security.user.SecurityUser;
|
||||
import com.weather.modules.security.user.UserContextHolder;
|
||||
import com.weather.modules.security.user.UserDetail;
|
||||
import com.weather.common.redis.RedisKeys;
|
||||
import com.weather.common.redis.RedisUtils;
|
||||
import lombok.AllArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Component;
|
||||
@ -27,6 +29,7 @@ import java.util.concurrent.ConcurrentHashMap;
|
||||
public class WeatherDataImportManager {
|
||||
|
||||
private final WeatherDailyDataService weatherDailyDataService;
|
||||
private final RedisUtils redisUtils;
|
||||
private final Map<String, ImportProgress> tasks = new ConcurrentHashMap<>();
|
||||
|
||||
public String submitImport(MultipartFile file) throws IOException {
|
||||
@ -82,6 +85,14 @@ public class WeatherDataImportManager {
|
||||
|
||||
progress.setStatus("COMPLETED");
|
||||
log.info("导入任务 {} 完成,共导入 {} 行", taskId, progress.getProcessedRows().get());
|
||||
|
||||
// 导入完成后清除天气汇总缓存,等待下次定时任务刷新
|
||||
try {
|
||||
redisUtils.deleteByPattern(RedisKeys.getWeatherSummarizePattern());
|
||||
log.info("已清除天气汇总缓存");
|
||||
} catch (Exception e) {
|
||||
log.warn("清除天气汇总缓存失败", e);
|
||||
}
|
||||
}
|
||||
|
||||
public ImportProgress getProgress(String taskId) {
|
||||
|
||||
@ -1,5 +1,6 @@
|
||||
package com.weather.modules.weather.dailydata.dao;
|
||||
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.toolkit.Constants;
|
||||
import com.weather.common.dao.BaseDao;
|
||||
@ -18,7 +19,21 @@ import java.util.List;
|
||||
@Mapper
|
||||
public interface WeatherDailyDataDao extends BaseDao<WeatherDailyDataEntity> {
|
||||
|
||||
List<WeatherDailyDataEntity> selectSummarizeList(@Param(Constants.WRAPPER) QueryWrapper<WeatherDailyDataEntity> wrapper);
|
||||
List<WeatherDailyDataEntity> selectSummarizeList(@Param(Constants.WRAPPER) LambdaQueryWrapper<WeatherDailyDataEntity> wrapper);
|
||||
|
||||
/**
|
||||
* 按站点 + 月-日 + 年份范围查询汇总数据
|
||||
* @param stationIds 站点 ID 列表
|
||||
* @param month 月份 1-12
|
||||
* @param day 日 1-31
|
||||
* @param startYear 起始年份
|
||||
* @param endYear 结束年份
|
||||
*/
|
||||
List<WeatherDailyDataEntity> selectSummarizeByMonthDay(@Param("stationIds") List<Long> stationIds,
|
||||
@Param("month") int month,
|
||||
@Param("day") int day,
|
||||
@Param("startYear") int startYear,
|
||||
@Param("endYear") int endYear);
|
||||
|
||||
int insertBatchMultiRow(@Param("list") List<WeatherDailyDataEntity> list);
|
||||
}
|
||||
@ -3,11 +3,15 @@ package com.weather.modules.weather.dailydata.service.impl;
|
||||
import cn.hutool.core.bean.BeanUtil;
|
||||
import cn.hutool.core.collection.CollectionUtil;
|
||||
import cn.hutool.core.util.IdUtil;
|
||||
import cn.hutool.core.util.ObjectUtil;
|
||||
import cn.hutool.core.util.StrUtil;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
|
||||
import com.baomidou.mybatisplus.core.metadata.IPage;
|
||||
import com.weather.common.constant.Constant;
|
||||
import com.weather.common.page.PageData;
|
||||
import com.weather.common.redis.RedisKeys;
|
||||
import com.weather.common.redis.RedisUtils;
|
||||
import com.weather.common.service.impl.CrudServiceImpl;
|
||||
import com.weather.common.utils.ConvertUtils;
|
||||
import com.weather.common.utils.TimeUtils;
|
||||
@ -23,14 +27,18 @@ import com.weather.modules.weather.dailydata.service.WeatherDailyDataService;
|
||||
import com.weather.modules.weather.station.dao.WeatherStationDao;
|
||||
import com.weather.modules.weather.station.entity.WeatherStationEntity;
|
||||
import lombok.AllArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.beans.BeanUtils;
|
||||
import org.springframework.stereotype.Service;
|
||||
import org.springframework.transaction.annotation.Transactional;
|
||||
|
||||
import java.time.LocalDate;
|
||||
import java.time.ZoneId;
|
||||
import java.util.*;
|
||||
import java.util.stream.Collectors;
|
||||
import java.util.stream.Stream;
|
||||
|
||||
@Slf4j
|
||||
@Service
|
||||
@AllArgsConstructor
|
||||
public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDataDao, WeatherDailyDataEntity, WeatherDailyDataDto> implements WeatherDailyDataService {
|
||||
@ -38,6 +46,7 @@ public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDat
|
||||
private final SysDeptService sysDeptService;
|
||||
private final WeatherStationDao weatherStationDao;
|
||||
private final WeatherDailyDataDao weatherDailyDataDao;
|
||||
private final RedisUtils redisUtils;
|
||||
|
||||
@Override
|
||||
public PageData<WeatherDailyDataDto> page(Map<String, Object> params) {
|
||||
@ -61,7 +70,7 @@ public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDat
|
||||
|
||||
private List<Long> getPrioritizedStationIds() {
|
||||
UserDetail user = SecurityUser.getUser();
|
||||
if (user == null || user.getDeptId() == null) return Collections.emptyList();
|
||||
if (ObjectUtil.isEmpty(user) || user.getDeptId() == null) return Collections.emptyList();
|
||||
List<Long> deptIds = sysDeptService.getSubDeptIdList(user.getDeptId());
|
||||
if (deptIds.isEmpty()) return Collections.emptyList();
|
||||
List<WeatherStationEntity> stations = weatherStationDao.selectList(
|
||||
@ -70,8 +79,11 @@ public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDat
|
||||
.in("dept_id", deptIds));
|
||||
return stations.stream()
|
||||
.map(s -> {
|
||||
try { return Long.valueOf(s.getStationCode()); }
|
||||
catch (NumberFormatException e) { return null; }
|
||||
try {
|
||||
return Long.valueOf(s.getStationCode());
|
||||
} catch (NumberFormatException e) {
|
||||
return null;
|
||||
}
|
||||
})
|
||||
.filter(Objects::nonNull)
|
||||
.collect(Collectors.toList());
|
||||
@ -110,7 +122,7 @@ public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDat
|
||||
.map(WeatherDailyDataEntity::getStationId)
|
||||
.filter(Objects::nonNull)
|
||||
.distinct()
|
||||
.collect(Collectors.toList());
|
||||
.toList();
|
||||
Map<Long, Long> stationDeptMap = new HashMap<>();
|
||||
if (!stationIds.isEmpty()) {
|
||||
List<String> stationCodeList = stationIds.stream().map(String::valueOf).collect(Collectors.toList());
|
||||
@ -134,7 +146,8 @@ public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDat
|
||||
entity.setUpdateDate(now);
|
||||
}
|
||||
|
||||
weatherDailyDataDao.insertBatchMultiRow(list);
|
||||
int successCount = weatherDailyDataDao.insertBatchMultiRow(list);
|
||||
log.info("成功插入{}条数据",successCount);
|
||||
return true;
|
||||
}
|
||||
|
||||
@ -169,11 +182,78 @@ public class WeatherDailyDataServiceImpl extends CrudServiceImpl<WeatherDailyDat
|
||||
endTime = TimeUtils.convertToLocalDateTime(queryDto.getEndtDate());
|
||||
}
|
||||
|
||||
QueryWrapper<WeatherDailyDataEntity> wrapper = new QueryWrapper<>();
|
||||
wrapper.in("station_id", stationIds)
|
||||
.between("observe_date", startTime, endTime);
|
||||
// 尝试从缓存获取(仅"历年同月同日"查询可命中缓存)
|
||||
List<DailyWeatherSummarizeDto> cached = getCachedSummarize(stationIds, startTime, endTime);
|
||||
if (cached != null) {
|
||||
return cached;
|
||||
}
|
||||
|
||||
List<WeatherDailyDataEntity> list = weatherDailyDataDao.selectSummarizeList(wrapper);
|
||||
// 缓存未命中,查询数据库
|
||||
return querySummarizeFromDb(stationIds, startTime, endTime);
|
||||
}
|
||||
|
||||
/**
|
||||
* 尝试从 Redis 缓存获取汇总数据
|
||||
*
|
||||
* @return 缓存命中时返回数据,未命中返回 null
|
||||
*/
|
||||
@SuppressWarnings("unchecked")
|
||||
private List<DailyWeatherSummarizeDto> getCachedSummarize(
|
||||
List<Long> stationIds, LocalDate start, LocalDate end) {
|
||||
|
||||
// 仅当月-日相同的跨年查询可命中缓存
|
||||
if (start.getMonth() != end.getMonth() || start.getDayOfMonth() != end.getDayOfMonth()) {
|
||||
return null;
|
||||
}
|
||||
|
||||
String key = RedisKeys.getWeatherSummarizeKey(end.getMonthValue(), end.getDayOfMonth());
|
||||
Object cached = redisUtils.get(key);
|
||||
if (cached == null) {
|
||||
return null;
|
||||
}
|
||||
|
||||
Map<String, List<DailyWeatherSummarizeDto>> grouped;
|
||||
try {
|
||||
grouped = (Map<String, List<DailyWeatherSummarizeDto>>) cached;
|
||||
} catch (ClassCastException e) {
|
||||
return null;
|
||||
}
|
||||
|
||||
// 验证所有请求站点都在缓存中,任一缺失则降级到 DB
|
||||
for (Long sid : stationIds) {
|
||||
if (!grouped.containsKey(String.valueOf(sid))) {
|
||||
return null;
|
||||
}
|
||||
}
|
||||
|
||||
// 从缓存中按站点过滤 + 限定年份范围(Key 为 String 避免 JSON 反序列化时 Long/Integer 类型丢失)
|
||||
return stationIds.stream()
|
||||
.flatMap(sid -> {
|
||||
List<DailyWeatherSummarizeDto> stationData = grouped.get(String.valueOf(sid));
|
||||
return stationData != null ? stationData.stream() : Stream.empty();
|
||||
})
|
||||
.filter(d -> {
|
||||
LocalDate obsDate = d.getObserveDate().toInstant()
|
||||
.atZone(ZoneId.systemDefault())
|
||||
.toLocalDate();
|
||||
return !obsDate.isBefore(start) && !obsDate.isAfter(end);
|
||||
})
|
||||
.collect(Collectors.toList());
|
||||
}
|
||||
|
||||
/**
|
||||
* 直接查询数据库获取汇总数据
|
||||
* <p>用 MONTH/DAY 定位具体日期 + YEAR BETWEEN 限定年份范围,避免日期 BETWEEN 全量问题</p>
|
||||
*/
|
||||
private List<DailyWeatherSummarizeDto> querySummarizeFromDb(
|
||||
List<Long> stationIds, LocalDate startTime, LocalDate endTime) {
|
||||
|
||||
List<WeatherDailyDataEntity> list = weatherDailyDataDao.selectSummarizeByMonthDay(
|
||||
stationIds,
|
||||
startTime.getMonthValue(),
|
||||
startTime.getDayOfMonth(),
|
||||
startTime.getYear(),
|
||||
endTime.getYear());
|
||||
|
||||
return BeanUtil.copyToList(list, DailyWeatherSummarizeDto.class);
|
||||
}
|
||||
|
||||
@ -0,0 +1,65 @@
|
||||
package com.weather.modules.weather.dailydata.task;
|
||||
|
||||
import cn.hutool.core.bean.BeanUtil;
|
||||
import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
|
||||
import com.weather.common.redis.RedisKeys;
|
||||
import com.weather.common.redis.RedisUtils;
|
||||
import com.weather.modules.job.task.ITask;
|
||||
import com.weather.modules.weather.dailydata.dao.WeatherDailyDataDao;
|
||||
import com.weather.modules.weather.dailydata.dto.DailyWeatherSummarizeDto;
|
||||
import com.weather.modules.weather.dailydata.entity.WeatherDailyDataEntity;
|
||||
import jakarta.annotation.Resource;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.time.LocalDate;
|
||||
import java.util.List;
|
||||
import java.util.Map;
|
||||
import java.util.stream.Collectors;
|
||||
|
||||
/**
|
||||
* 天气汇总缓存预热任务
|
||||
* <p>
|
||||
* 每日凌晨 1:00 执行,将历年当月-当日的气象数据
|
||||
* 按站点分组写入 Redis,供 export-sum 接口查询。
|
||||
*
|
||||
* @author 2333 123
|
||||
* @since 1.0.0 2026-06-24
|
||||
*/
|
||||
@Slf4j
|
||||
@Component("weatherSummarizeCacheTask")
|
||||
public class WeatherSummarizeCacheTask implements ITask {
|
||||
|
||||
@Resource
|
||||
private WeatherDailyDataDao weatherDailyDataDao;
|
||||
|
||||
@Resource
|
||||
private RedisUtils redisUtils;
|
||||
|
||||
@Override
|
||||
public void run(String params) {
|
||||
LocalDate today = LocalDate.now();
|
||||
int month = today.getMonthValue();
|
||||
int day = today.getDayOfMonth();
|
||||
|
||||
log.info("开始刷新天气汇总缓存,日期: {}-{}", month, day);
|
||||
|
||||
try {
|
||||
LambdaQueryWrapper<WeatherDailyDataEntity> wrapper = new LambdaQueryWrapper<>();
|
||||
wrapper.apply("MONTH(observe_date) = {0} AND DAY(observe_date) = {1}", month, day);
|
||||
|
||||
List<WeatherDailyDataEntity> list = weatherDailyDataDao.selectSummarizeList(wrapper);
|
||||
|
||||
Map<String, List<DailyWeatherSummarizeDto>> grouped = list.stream()
|
||||
.map(e -> BeanUtil.copyProperties(e, DailyWeatherSummarizeDto.class))
|
||||
.collect(Collectors.groupingBy(dto -> String.valueOf(dto.getStationId())));
|
||||
|
||||
String key = RedisKeys.getWeatherSummarizeKey(month, day);
|
||||
redisUtils.set(key, grouped, RedisUtils.NOT_EXPIRE);
|
||||
|
||||
log.info("天气汇总缓存刷新完成,共 {} 条记录,{} 个站点", list.size(), grouped.size());
|
||||
} catch (Exception e) {
|
||||
log.error("天气汇总缓存刷新失败", e);
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -7,7 +7,9 @@ import com.weather.modules.sys.entity.SysDeptEntity;
|
||||
import com.weather.modules.sys.service.SysParamsService;
|
||||
import lombok.AllArgsConstructor;
|
||||
import lombok.extern.slf4j.Slf4j;
|
||||
import org.springframework.boot.CommandLineRunner;
|
||||
import org.springframework.boot.context.event.ApplicationReadyEvent;
|
||||
import org.springframework.context.event.EventListener;
|
||||
import org.springframework.scheduling.annotation.Async;
|
||||
import org.springframework.stereotype.Component;
|
||||
|
||||
import java.io.IOException;
|
||||
@ -15,18 +17,33 @@ import java.nio.file.Files;
|
||||
import java.nio.file.Path;
|
||||
import java.nio.file.Paths;
|
||||
import java.util.List;
|
||||
import java.util.concurrent.TimeUnit;
|
||||
|
||||
@Slf4j
|
||||
@Component
|
||||
@AllArgsConstructor
|
||||
public class FileScanStartupRunner implements CommandLineRunner {
|
||||
public class FileScanStartupRunner {
|
||||
|
||||
/**
|
||||
* 启动后延迟扫描时间(秒),给应用留出充分的初始化时间
|
||||
*/
|
||||
private static final long STARTUP_DELAY_SECONDS = 30;
|
||||
|
||||
private final SysParamsService sysParamsService;
|
||||
private final SysDeptDao sysDeptDao;
|
||||
private final FileWatchServiceManager fileWatchServiceManager;
|
||||
|
||||
@Override
|
||||
public void run(String... args) {
|
||||
@Async
|
||||
@EventListener(ApplicationReadyEvent.class)
|
||||
public void onApplicationReady() {
|
||||
log.info("应用已启动,{} 秒后开始文件扫描目录初始化...", STARTUP_DELAY_SECONDS);
|
||||
try {
|
||||
TimeUnit.SECONDS.sleep(STARTUP_DELAY_SECONDS);
|
||||
} catch (InterruptedException e) {
|
||||
Thread.currentThread().interrupt();
|
||||
log.warn("文件扫描延迟等待被中断,直接开始初始化");
|
||||
}
|
||||
|
||||
String rootPath = sysParamsService.getValue(Constant.FILE_SCAN_ROOT_PATH);
|
||||
if (StrUtil.isBlank(rootPath)) {
|
||||
log.warn("FILE_SCAN_ROOT_PATH 未配置,跳过文件扫描目录初始化");
|
||||
|
||||
@ -6,26 +6,6 @@ spring:
|
||||
url: jdbc:mysql://localhost:3306/weather_data_system?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&nullCatalogMeansCurrent=true&rewriteBatchedStatements=true
|
||||
username: root
|
||||
password: root
|
||||
#达梦8
|
||||
# driver-class-name: dm.jdbc.driver.DmDriver
|
||||
# url: jdbc:dm://192.168.10.10:5236/renren_security?useUnicode=true&characterEncoding=UTF-8&serverTimezone=Asia/Shanghai&nullCatalogMeansCurrent=true
|
||||
# username: renren_security
|
||||
# password: 12345678
|
||||
# #Oracle
|
||||
# driver-class-name: oracle.jdbc.OracleDriver
|
||||
# url: jdbc:oracle:thin:@192.168.10.10:1521:xe
|
||||
# username: renren_security
|
||||
# password: 123456
|
||||
# #SQLServer
|
||||
# driver-class-name: com.microsoft.sqlserver.jdbc.SQLServerDriver
|
||||
# url: jdbc:sqlserver://localhost:1433;DatabaseName=renren_security
|
||||
# username: sa
|
||||
# password: 123456
|
||||
# #postgresql
|
||||
# driver-class-name: org.postgresql.Driver
|
||||
# url: jdbc:postgresql://192.168.10.10:5432/postgres
|
||||
# username: postgres
|
||||
# password: 123456
|
||||
initial-size: 10
|
||||
max-active: 100
|
||||
min-idle: 10
|
||||
|
||||
@ -40,7 +40,7 @@ spring:
|
||||
data:
|
||||
redis:
|
||||
database: 0
|
||||
host: 192.168.10.10
|
||||
host: 127.0.0.1
|
||||
port: 6379
|
||||
password: # 密码(默认为空)
|
||||
timeout: 6000ms # 连接超时时长(毫秒)
|
||||
@ -54,7 +54,7 @@ spring:
|
||||
# 是否开启redis缓存 true开启 false关闭
|
||||
project-options:
|
||||
redis:
|
||||
open: false
|
||||
open: true
|
||||
|
||||
#mybatis
|
||||
mybatis-plus:
|
||||
|
||||
@ -42,6 +42,19 @@
|
||||
ORDER BY station_id, observe_date
|
||||
</select>
|
||||
|
||||
<select id="selectSummarizeByMonthDay" resultMap="weatherDailyDataMap">
|
||||
SELECT <include refid="summarizeColumns" />
|
||||
FROM weather_daily_data
|
||||
WHERE station_id IN
|
||||
<foreach collection="stationIds" item="sid" open="(" separator="," close=")">
|
||||
#{sid}
|
||||
</foreach>
|
||||
AND MONTH(observe_date) = #{month}
|
||||
AND DAY(observe_date) = #{day}
|
||||
AND YEAR(observe_date) BETWEEN #{startYear} AND #{endYear}
|
||||
ORDER BY station_id, observe_date
|
||||
</select>
|
||||
|
||||
<insert id="insertBatchMultiRow" parameterType="list" useGeneratedKeys="false">
|
||||
INSERT INTO weather_daily_data (
|
||||
id, station_id, observe_date,
|
||||
|
||||
@ -1,7 +1,23 @@
|
||||
FROM java:8
|
||||
FROM eclipse-temurin:17-jre-alpine
|
||||
|
||||
LABEL maintainer="weather-data"
|
||||
LABEL description="Weather Data System - API Service"
|
||||
|
||||
RUN apk add --no-cache tzdata curl && \
|
||||
cp /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
|
||||
echo "Asia/Shanghai" > /etc/timezone
|
||||
|
||||
WORKDIR /app
|
||||
|
||||
EXPOSE 8081
|
||||
|
||||
VOLUME /tmp
|
||||
ADD renren-api.jar /app.jar
|
||||
RUN bash -c 'touch /app.jar'
|
||||
ENTRYPOINT ["java","-jar","/app.jar"]
|
||||
ARG JAR_FILE=target/system-api.jar
|
||||
COPY ${JAR_FILE} /app/app.jar
|
||||
|
||||
ENV JAVA_OPTS="-Xms256m -Xmx512m -XX:+UseG1GC -Djava.security.egd=file:/dev/./urandom"
|
||||
ENV SPRING_PROFILES_ACTIVE=prod
|
||||
|
||||
HEALTHCHECK --interval=30s --timeout=10s --retries=3 --start-period=60s \
|
||||
CMD curl -f http://localhost:8081/renren-api/actuator/health || exit 1
|
||||
|
||||
ENTRYPOINT exec java ${JAVA_OPTS} -jar /app/app.jar
|
||||
|
||||
@ -23,7 +23,7 @@ public class RedisAspect {
|
||||
/**
|
||||
* 是否开启redis缓存 true开启 false关闭
|
||||
*/
|
||||
@Value("${weather.redis.open: false}")
|
||||
@Value("${project-options.redis.open: false}")
|
||||
private boolean open;
|
||||
|
||||
@Around("execution(* com.weather.common.redis.RedisUtils.*(..))")
|
||||
|
||||
@ -55,4 +55,18 @@ public class RedisKeys {
|
||||
public static String getUserPermissionsKey(Long userId){
|
||||
return "sys:user:permissions:" + userId;
|
||||
}
|
||||
|
||||
/**
|
||||
* 天气汇总缓存Key(按站点分组,月-日维度)
|
||||
*/
|
||||
public static String getWeatherSummarizeKey(int month, int day) {
|
||||
return "weather:summarize:" + month + ":" + day;
|
||||
}
|
||||
|
||||
/**
|
||||
* 天气汇总缓存匹配模式
|
||||
*/
|
||||
public static String getWeatherSummarizePattern() {
|
||||
return "weather:summarize:*";
|
||||
}
|
||||
}
|
||||
|
||||
@ -116,4 +116,23 @@ public class RedisUtils {
|
||||
public Object rightPop(String key) {
|
||||
return redisTemplate.opsForList().rightPop(key);
|
||||
}
|
||||
|
||||
/**
|
||||
* 按模式删除缓存
|
||||
* @param pattern 匹配模式,如 "weather:summarize:*"
|
||||
*/
|
||||
public void deleteByPattern(String pattern) {
|
||||
java.util.Set<String> keys = redisTemplate.keys(pattern);
|
||||
if (keys != null && !keys.isEmpty()) {
|
||||
redisTemplate.delete(keys);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* 判断缓存是否存在
|
||||
*/
|
||||
public boolean exists(String key) {
|
||||
Boolean result = redisTemplate.hasKey(key);
|
||||
return Boolean.TRUE.equals(result);
|
||||
}
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user