feat: 添加 Kafka 消费者和消息处理功能

- 新增 Kafka 消费者实现,支持消息处理和错误处理。
- 实现 OffsetTracker 类,用于跟踪消息偏移量。
- 新增消息解析和数据库插入逻辑,支持从 Kafka 消息构建数据库行。
- 实现 UDP 数据包解析功能,支持不同类型的 UDP 消息。
- 新增 Redis 错误队列处理,支持错误重试机制。
- 实现 Redis 客户端和集成类,支持日志记录和心跳机制。
- 添加 Zod 验证模式,确保 Kafka 消息有效性。
- 新增日志记录和指标收集工具,支持系统监控。
- 添加 UUID 生成工具,支持唯一标识符生成。
- 编写处理器逻辑的单元测试,确保功能正确性。
- 配置 Vite 构建工具,支持 Node.js 环境下的构建。
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/bls-register-backend/node_modules

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KAFKA_BROKERS=kafka.blv-oa.com:9092
KAFKA_CLIENT_ID=bls-register-producer
KAFKA_GROUP_ID=bls-register-consumer
KAFKA_TOPICS=blwlog4Nodejs-rcu-register-topic
KAFKA_AUTO_COMMIT=false
KAFKA_AUTO_COMMIT_INTERVAL_MS=5000
KAFKA_SASL_ENABLED=true
KAFKA_SASL_MECHANISM=plain
KAFKA_SASL_USERNAME=blwmomo
KAFKA_SASL_PASSWORD=blwmomo
KAFKA_SSL_ENABLED=false
KAFKA_CONSUMER_INSTANCES=3
KAFKA_MAX_IN_FLIGHT=5000
KAFKA_BATCH_SIZE=1000
KAFKA_BATCH_TIMEOUT_MS=20
KAFKA_COMMIT_INTERVAL_MS=200
KAFKA_COMMIT_ON_ATTEMPT=true
KAFKA_FETCH_MAX_BYTES=10485760
KAFKA_FETCH_MAX_WAIT_MS=100
KAFKA_FETCH_MIN_BYTES=1
POSTGRES_HOST=10.8.8.109
POSTGRES_PORT=5433
POSTGRES_DATABASE=log_platform
POSTGRES_USER=log_admin
POSTGRES_PASSWORD=YourActualStrongPasswordForPostgres!
POSTGRES_MAX_CONNECTIONS=6
POSTGRES_IDLE_TIMEOUT_MS=30000
DB_SCHEMA=rcu_info
DB_TABLE=rcu_info_events_g5
# =========================
# PostgreSQL 配置 G5库专用
# =========================
POSTGRES_HOST_G5=10.8.8.80
POSTGRES_PORT_G5=5434
POSTGRES_DATABASE_G5=log_platform
POSTGRES_USER_G5=log_admin
POSTGRES_PASSWORD_G5=H3IkLUt8K!x
POSTGRES_IDLE_TIMEOUT_MS_G5=30000
PORT=3001
LOG_LEVEL=info
# Redis connection
REDIS_HOST=10.8.8.109
REDIS_PORT=6379
REDIS_PASSWORD=
REDIS_DB=15
REDIS_CONNECT_TIMEOUT_MS=5000
REDIS_PROJECT_NAME=bls-onoffline

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# Server Configuration
PORT=3001
NODE_ENV=development
# Kafka Configuration
KAFKA_BROKERS=localhost:9092
KAFKA_TOPIC=blwlog4Nodejs-rcu-onoffline-topic
KAFKA_GROUP_ID=bls-onoffline-group
KAFKA_CLIENT_ID=bls-onoffline-client
KAFKA_CONSUMER_INSTANCES=1
# KAFKA_SASL_USERNAME=
# KAFKA_SASL_PASSWORD=
# KAFKA_SASL_MECHANISM=plain
# Database Configuration (PostgreSQL)
DB_HOST=localhost
DB_PORT=5432
DB_USER=postgres
DB_PASSWORD=password
DB_DATABASE=log_platform
DB_SCHEMA=public
DB_TABLE=onoffline_record
DB_MAX_CONNECTIONS=10
# Redis Configuration
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=
REDIS_DB=0
REDIS_PROJECT_NAME=bls-onoffline
REDIS_API_BASE_URL=http://localhost:3001

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<!-- OPENSPEC:START -->
# OpenSpec Instructions
These instructions are for AI assistants working in this project.
Always open `@/openspec/AGENTS.md` when the request:
- Mentions planning or proposals (words like proposal, spec, change, plan)
- Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work
- Sounds ambiguous and you need the authoritative spec before coding
Use `@/openspec/AGENTS.md` to learn:
- How to create and apply change proposals
- Spec format and conventions
- Project structure and guidelines
Keep this managed block so 'openspec update' can refresh the instructions.
<!-- OPENSPEC:END -->

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bls-register-backend
项目功能
- 从 Kafka 主题 blwlog4Nodejs-rcu-register-topic 消费 Register 数据。
- 对字段做类型转换和值域保护hotel_id 超出 int2 时写 0
- 每 3 秒执行一次批量写库。
- 双写 G5 库:
- rcu_info.rcu_info_events_g5 全量事件入库。
- room_status.room_status_moment_g5 仅更新 app_version、launcher_version、config_version、upgrade_ts_ms、register_ts_ms。
安装与运行
- Node.js 22+
- npm install
- npm run dev
构建与测试
- npm run build
- npm run test
- npm run lint
OpenSpec
- npm run spec:lint
- npm run spec:validate
环境变量
- 使用现有 .env当前仓库已配置可用

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module.exports = {
apps: [{
name: 'bls-register',
script: 'dist/index.js',
instances: 1,
exec_mode: 'fork',
autorestart: true,
watch: false,
max_memory_restart: '1G',
env_file: '.env',
env: {
NODE_ENV: 'production',
PORT: 3001
},
error_file: './logs/error.log',
out_file: './logs/out.log',
log_date_format: 'YYYY-MM-DD HH:mm:ss Z',
merge_logs: true,
kill_timeout: 5000,
time: true
}]
};

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# OpenSpec Instructions
Instructions for AI coding assistants using OpenSpec for spec-driven development.
## TL;DR Quick Checklist
- Search existing work: `openspec spec list --long`, `openspec list` (use `rg` only for full-text search)
- Decide scope: new capability vs modify existing capability
- Pick a unique `change-id`: kebab-case, verb-led (`add-`, `update-`, `remove-`, `refactor-`)
- Scaffold: `proposal.md`, `tasks.md`, `design.md` (only if needed), and delta specs per affected capability
- Write deltas: use `## ADDED|MODIFIED|REMOVED|RENAMED Requirements`; include at least one `#### Scenario:` per requirement
- Validate: `openspec validate [change-id] --strict` and fix issues
- Request approval: Do not start implementation until proposal is approved
## Three-Stage Workflow
### Stage 1: Creating Changes
Create proposal when you need to:
- Add features or functionality
- Make breaking changes (API, schema)
- Change architecture or patterns
- Optimize performance (changes behavior)
- Update security patterns
Triggers (examples):
- "Help me create a change proposal"
- "Help me plan a change"
- "Help me create a proposal"
- "I want to create a spec proposal"
- "I want to create a spec"
Loose matching guidance:
- Contains one of: `proposal`, `change`, `spec`
- With one of: `create`, `plan`, `make`, `start`, `help`
Skip proposal for:
- Bug fixes (restore intended behavior)
- Typos, formatting, comments
- Dependency updates (non-breaking)
- Configuration changes
- Tests for existing behavior
**Workflow**
1. Review `openspec/project.md`, `openspec list`, and `openspec list --specs` to understand current context.
2. Choose a unique verb-led `change-id` and scaffold `proposal.md`, `tasks.md`, optional `design.md`, and spec deltas under `openspec/changes/<id>/`.
3. Draft spec deltas using `## ADDED|MODIFIED|REMOVED Requirements` with at least one `#### Scenario:` per requirement.
4. Run `openspec validate <id> --strict` and resolve any issues before sharing the proposal.
### Stage 2: Implementing Changes
Track these steps as TODOs and complete them one by one.
1. **Read proposal.md** - Understand what's being built
2. **Read design.md** (if exists) - Review technical decisions
3. **Read tasks.md** - Get implementation checklist
4. **Implement tasks sequentially** - Complete in order
5. **Confirm completion** - Ensure every item in `tasks.md` is finished before updating statuses
6. **Update checklist** - After all work is done, set every task to `- [x]` so the list reflects reality
7. **Approval gate** - Do not start implementation until the proposal is reviewed and approved
### Stage 3: Archiving Changes
After deployment, create separate PR to:
- Move `changes/[name]/``changes/archive/YYYY-MM-DD-[name]/`
- Update `specs/` if capabilities changed
- Use `openspec archive <change-id> --skip-specs --yes` for tooling-only changes (always pass the change ID explicitly)
- Run `openspec validate --strict` to confirm the archived change passes checks
## Before Any Task
**Context Checklist:**
- [ ] Read relevant specs in `specs/[capability]/spec.md`
- [ ] Check pending changes in `changes/` for conflicts
- [ ] Read `openspec/project.md` for conventions
- [ ] Run `openspec list` to see active changes
- [ ] Run `openspec list --specs` to see existing capabilities
**Before Creating Specs:**
- Always check if capability already exists
- Prefer modifying existing specs over creating duplicates
- Use `openspec show [spec]` to review current state
- If request is ambiguous, ask 12 clarifying questions before scaffolding
### Search Guidance
- Enumerate specs: `openspec spec list --long` (or `--json` for scripts)
- Enumerate changes: `openspec list` (or `openspec change list --json` - deprecated but available)
- Show details:
- Spec: `openspec show <spec-id> --type spec` (use `--json` for filters)
- Change: `openspec show <change-id> --json --deltas-only`
- Full-text search (use ripgrep): `rg -n "Requirement:|Scenario:" openspec/specs`
## Quick Start
### CLI Commands
```bash
# Essential commands
openspec list # List active changes
openspec list --specs # List specifications
openspec show [item] # Display change or spec
openspec validate [item] # Validate changes or specs
openspec archive <change-id> [--yes|-y] # Archive after deployment (add --yes for non-interactive runs)
# Project management
openspec init [path] # Initialize OpenSpec
openspec update [path] # Update instruction files
# Interactive mode
openspec show # Prompts for selection
openspec validate # Bulk validation mode
# Debugging
openspec show [change] --json --deltas-only
openspec validate [change] --strict
```
### Command Flags
- `--json` - Machine-readable output
- `--type change|spec` - Disambiguate items
- `--strict` - Comprehensive validation
- `--no-interactive` - Disable prompts
- `--skip-specs` - Archive without spec updates
- `--yes`/`-y` - Skip confirmation prompts (non-interactive archive)
## Directory Structure
```
openspec/
├── project.md # Project conventions
├── specs/ # Current truth - what IS built
│ └── [capability]/ # Single focused capability
│ ├── spec.md # Requirements and scenarios
│ └── design.md # Technical patterns
├── changes/ # Proposals - what SHOULD change
│ ├── [change-name]/
│ │ ├── proposal.md # Why, what, impact
│ │ ├── tasks.md # Implementation checklist
│ │ ├── design.md # Technical decisions (optional; see criteria)
│ │ └── specs/ # Delta changes
│ │ └── [capability]/
│ │ └── spec.md # ADDED/MODIFIED/REMOVED
│ └── archive/ # Completed changes
```
## Creating Change Proposals
### Decision Tree
```
New request?
├─ Bug fix restoring spec behavior? → Fix directly
├─ Typo/format/comment? → Fix directly
├─ New feature/capability? → Create proposal
├─ Breaking change? → Create proposal
├─ Architecture change? → Create proposal
└─ Unclear? → Create proposal (safer)
```
### Proposal Structure
1. **Create directory:** `changes/[change-id]/` (kebab-case, verb-led, unique)
2. **Write proposal.md:**
```markdown
# Change: [Brief description of change]
## Why
[1-2 sentences on problem/opportunity]
## What Changes
- [Bullet list of changes]
- [Mark breaking changes with **BREAKING**]
## Impact
- Affected specs: [list capabilities]
- Affected code: [key files/systems]
```
3. **Create spec deltas:** `specs/[capability]/spec.md`
```markdown
## ADDED Requirements
### Requirement: New Feature
The system SHALL provide...
#### Scenario: Success case
- **WHEN** user performs action
- **THEN** expected result
## MODIFIED Requirements
### Requirement: Existing Feature
[Complete modified requirement]
## REMOVED Requirements
### Requirement: Old Feature
**Reason**: [Why removing]
**Migration**: [How to handle]
```
If multiple capabilities are affected, create multiple delta files under `changes/[change-id]/specs/<capability>/spec.md`—one per capability.
4. **Create tasks.md:**
```markdown
## 1. Implementation
- [ ] 1.1 Create database schema
- [ ] 1.2 Implement API endpoint
- [ ] 1.3 Add frontend component
- [ ] 1.4 Write tests
```
5. **Create design.md when needed:**
Create `design.md` if any of the following apply; otherwise omit it:
- Cross-cutting change (multiple services/modules) or a new architectural pattern
- New external dependency or significant data model changes
- Security, performance, or migration complexity
- Ambiguity that benefits from technical decisions before coding
Minimal `design.md` skeleton:
```markdown
## Context
[Background, constraints, stakeholders]
## Goals / Non-Goals
- Goals: [...]
- Non-Goals: [...]
## Decisions
- Decision: [What and why]
- Alternatives considered: [Options + rationale]
## Risks / Trade-offs
- [Risk] → Mitigation
## Migration Plan
[Steps, rollback]
## Open Questions
- [...]
```
## Spec File Format
### Critical: Scenario Formatting
**CORRECT** (use #### headers):
```markdown
#### Scenario: User login success
- **WHEN** valid credentials provided
- **THEN** return JWT token
```
**WRONG** (don't use bullets or bold):
```markdown
- **Scenario: User login** ❌
**Scenario**: User login ❌
### Scenario: User login ❌
```
Every requirement MUST have at least one scenario.
### Requirement Wording
- Use SHALL/MUST for normative requirements (avoid should/may unless intentionally non-normative)
### Delta Operations
- `## ADDED Requirements` - New capabilities
- `## MODIFIED Requirements` - Changed behavior
- `## REMOVED Requirements` - Deprecated features
- `## RENAMED Requirements` - Name changes
Headers matched with `trim(header)` - whitespace ignored.
#### When to use ADDED vs MODIFIED
- ADDED: Introduces a new capability or sub-capability that can stand alone as a requirement. Prefer ADDED when the change is orthogonal (e.g., adding "Slash Command Configuration") rather than altering the semantics of an existing requirement.
- MODIFIED: Changes the behavior, scope, or acceptance criteria of an existing requirement. Always paste the full, updated requirement content (header + all scenarios). The archiver will replace the entire requirement with what you provide here; partial deltas will drop previous details.
- RENAMED: Use when only the name changes. If you also change behavior, use RENAMED (name) plus MODIFIED (content) referencing the new name.
Common pitfall: Using MODIFIED to add a new concern without including the previous text. This causes loss of detail at archive time. If you arent explicitly changing the existing requirement, add a new requirement under ADDED instead.
Authoring a MODIFIED requirement correctly:
1) Locate the existing requirement in `openspec/specs/<capability>/spec.md`.
2) Copy the entire requirement block (from `### Requirement: ...` through its scenarios).
3) Paste it under `## MODIFIED Requirements` and edit to reflect the new behavior.
4) Ensure the header text matches exactly (whitespace-insensitive) and keep at least one `#### Scenario:`.
Example for RENAMED:
```markdown
## RENAMED Requirements
- FROM: `### Requirement: Login`
- TO: `### Requirement: User Authentication`
```
## Troubleshooting
### Common Errors
**"Change must have at least one delta"**
- Check `changes/[name]/specs/` exists with .md files
- Verify files have operation prefixes (## ADDED Requirements)
**"Requirement must have at least one scenario"**
- Check scenarios use `#### Scenario:` format (4 hashtags)
- Don't use bullet points or bold for scenario headers
**Silent scenario parsing failures**
- Exact format required: `#### Scenario: Name`
- Debug with: `openspec show [change] --json --deltas-only`
### Validation Tips
```bash
# Always use strict mode for comprehensive checks
openspec validate [change] --strict
# Debug delta parsing
openspec show [change] --json | jq '.deltas'
# Check specific requirement
openspec show [spec] --json -r 1
```
## Happy Path Script
```bash
# 1) Explore current state
openspec spec list --long
openspec list
# Optional full-text search:
# rg -n "Requirement:|Scenario:" openspec/specs
# rg -n "^#|Requirement:" openspec/changes
# 2) Choose change id and scaffold
CHANGE=add-two-factor-auth
mkdir -p openspec/changes/$CHANGE/{specs/auth}
printf "## Why\n...\n\n## What Changes\n- ...\n\n## Impact\n- ...\n" > openspec/changes/$CHANGE/proposal.md
printf "## 1. Implementation\n- [ ] 1.1 ...\n" > openspec/changes/$CHANGE/tasks.md
# 3) Add deltas (example)
cat > openspec/changes/$CHANGE/specs/auth/spec.md << 'EOF'
## ADDED Requirements
### Requirement: Two-Factor Authentication
Users MUST provide a second factor during login.
#### Scenario: OTP required
- **WHEN** valid credentials are provided
- **THEN** an OTP challenge is required
EOF
# 4) Validate
openspec validate $CHANGE --strict
```
## Multi-Capability Example
```
openspec/changes/add-2fa-notify/
├── proposal.md
├── tasks.md
└── specs/
├── auth/
│ └── spec.md # ADDED: Two-Factor Authentication
└── notifications/
└── spec.md # ADDED: OTP email notification
```
auth/spec.md
```markdown
## ADDED Requirements
### Requirement: Two-Factor Authentication
...
```
notifications/spec.md
```markdown
## ADDED Requirements
### Requirement: OTP Email Notification
...
```
## Best Practices
### Simplicity First
- Default to <100 lines of new code
- Single-file implementations until proven insufficient
- Avoid frameworks without clear justification
- Choose boring, proven patterns
### Complexity Triggers
Only add complexity with:
- Performance data showing current solution too slow
- Concrete scale requirements (>1000 users, >100MB data)
- Multiple proven use cases requiring abstraction
### Clear References
- Use `file.ts:42` format for code locations
- Reference specs as `specs/auth/spec.md`
- Link related changes and PRs
### Capability Naming
- Use verb-noun: `user-auth`, `payment-capture`
- Single purpose per capability
- 10-minute understandability rule
- Split if description needs "AND"
### Change ID Naming
- Use kebab-case, short and descriptive: `add-two-factor-auth`
- Prefer verb-led prefixes: `add-`, `update-`, `remove-`, `refactor-`
- Ensure uniqueness; if taken, append `-2`, `-3`, etc.
## Tool Selection Guide
| Task | Tool | Why |
|------|------|-----|
| Find files by pattern | Glob | Fast pattern matching |
| Search code content | Grep | Optimized regex search |
| Read specific files | Read | Direct file access |
| Explore unknown scope | Task | Multi-step investigation |
## Error Recovery
### Change Conflicts
1. Run `openspec list` to see active changes
2. Check for overlapping specs
3. Coordinate with change owners
4. Consider combining proposals
### Validation Failures
1. Run with `--strict` flag
2. Check JSON output for details
3. Verify spec file format
4. Ensure scenarios properly formatted
### Missing Context
1. Read project.md first
2. Check related specs
3. Review recent archives
4. Ask for clarification
## Quick Reference
### Stage Indicators
- `changes/` - Proposed, not yet built
- `specs/` - Built and deployed
- `archive/` - Completed changes
### File Purposes
- `proposal.md` - Why and what
- `tasks.md` - Implementation steps
- `design.md` - Technical decisions
- `spec.md` - Requirements and behavior
### CLI Essentials
```bash
openspec list # What's in progress?
openspec show [item] # View details
openspec validate --strict # Is it correct?
openspec archive <change-id> [--yes|-y] # Mark complete (add --yes for automation)
```
Remember: Specs are truth. Changes are proposals. Keep them in sync.

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# Proposal: Build RCU Register Kafka Consumer (G5)
## Why
当前 `bls-register-backend` 需要从 Kafka 主题 `blwlog4Nodejs-rcu-register-topic` 消费高吞吐注册数据,并写入 G5 库。现有模板项目的字段模型与落库目标不匹配,且缺少 3 秒固定频率落库和双写更新策略。
## What Changes
1. 新增 Register 数据模型解析与字段类型校验,兼容 C# RegisterInfo 字段命名。
2. 新增值域保护策略:`hotel_id` 超出 PostgreSQL `int2` 值域时强制写 `0`
3. 落库改为固定 3 秒全局批量 flush 一次。
4. 双写策略:
- 完整写入 `rcu_info.rcu_info_events_g5`
- 更新 `room_status.room_status_moment_g5``app_version``launcher_version``config_version``upgrade_ts_ms``register_ts_ms`,按 `(hotel_id, room_id)` 定位,缺失记录忽略。
5. 保持 Kafka 至少一次语义:消息处理 Promise 在 flush 完成后才 resolve。
## npm Package Strategy
- 继续复用成熟依赖,不重复造轮子:
- `kafka-node@^5.0.0` 负责 Kafka ConsumerGroup。
- `pg@^8.11.5` 负责 PostgreSQL 批量写入。
- `zod@^4.3.6` 负责结构与类型预处理校验。
- 本次不新增第三方依赖,降低变更风险。
## Impact
- 提升入库一致性(按库字段约束进行落库转换)。
- 控制数据库写入频率,满足生产限制。
- 降低失效数据对消费位点推进的阻塞风险。

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# Spec: rcu-register-consumer
## Requirement: Kafka Register 消费
系统 SHALL 从 `blwlog4Nodejs-rcu-register-topic` 消费 Register 数据并执行结构化校验。
### Scenario: 解析 C# RegisterInfo 字段
- **GIVEN** Kafka 消息为 RegisterInfo JSON
- **WHEN** 消息被解析
- **THEN** 字段转换为数据库字段类型后参与落库
## Requirement: 值域与类型保护
系统 SHALL 对写库字段执行类型转换和值域保护。
### Scenario: hotel_id 超范围保护
- **GIVEN** `hotel_id` 超出 `int2` 范围
- **WHEN** 数据准备写入数据库
- **THEN** `hotel_id` 被写为 `0`
## Requirement: 固定 3 秒写库
系统 SHALL 采用全局缓冲并每 3 秒执行一次批量写库。
### Scenario: 高频消息输入
- **GIVEN** 3 秒内收到多条消息
- **WHEN** 到达 flush 时刻
- **THEN** 系统执行一次批量写入并统一确认消费
## Requirement: 双写目标库
系统 SHALL 双写 G5 库中的两个目标表。
### Scenario: 完整事件入库
- **GIVEN** 合法 Register 数据
- **WHEN** 执行写库
- **THEN** 完整写入 `rcu_info.rcu_info_events_g5`
### Scenario: 房态瞬时表追加更新
- **GIVEN** 合法 Register 数据
- **WHEN** 执行写库
- **THEN** 更新 `room_status.room_status_moment_g5``app_version``launcher_version``config_version``upgrade_ts_ms``register_ts_ms`
## Requirement: room_status 不新增行
系统 SHALL 仅更新已存在的 `(hotel_id, room_id)` 行,不允许新增记录。
### Scenario: 主键不存在
- **GIVEN** `room_status_moment_g5` 中不存在对应 `(hotel_id, room_id)`
- **WHEN** 执行更新
- **THEN** 忽略该条 room_status 更新且继续推进 Kafka 消费位点

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## 1. Specification
- [x] 1.1 定义 Register 消费与双写需求规格
- [x] 1.2 定义 3 秒固定写库频率需求
- [x] 1.3 定义 room_status 仅更新不新增行需求
## 2. Implementation
- [x] 2.1 改造配置默认值为 register 主题与 G5 目标表
- [x] 2.2 实现 Register payload 类型转换与值域保护
- [x] 2.3 实现 rcu_info_events_g5 批量插入
- [x] 2.4 实现 room_status_moment_g5 批量更新(仅已存在记录)
- [x] 2.5 实现全局 3 秒 flush 与 Kafka 回调对齐
## 3. Verification
- [x] 3.1 更新处理器单测hotel_id、字段映射、类型转换
- [x] 3.2 运行 `npm run test`
- [x] 3.3 运行 `npm run spec:validate`

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# Change: Fix Kafka Partitioning and Schema Issues
## Why
Production deployment revealed issues with data ingestion:
1. Kafka Topic name changed to include partition suffix.
2. Legacy data contains second-level timestamps (1970s) causing partition lookup failures in PostgreSQL (which expects ms).
3. Variable-length fields (reboot reason, status) exceeded VARCHAR(10) limits, causing crashes.
## What Changes
- **Modified Requirement**: Update Kafka Topic to `blwlog4Nodejs-rcu-onoffline-topic-0`.
- **New Requirement**: Implement heuristic timestamp conversion (Sec -> MS) for values < 100B.
- **New Requirement**: Truncate specific fields to VARCHAR(255) to prevent DB rejection.
- **Modified Requirement**: Update DB Schema to VARCHAR(255) for robustness.
## Impact
- Affected specs: `onoffline`
- Affected code: `src/processor/index.js`, `scripts/init_db.sql`

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## MODIFIED Requirements
### Requirement: 消费并落库
系统 SHALL 从 blwlog4Nodejs-rcu-onoffline-topic-0 消费消息,并写入 log_platform.onoffline.onoffline_record。
#### Scenario: 非重启数据写入
- **GIVEN** RebootReason 为空或不存在
- **WHEN** 消息被处理
- **THEN** current_status 等于 CurrentStatus (截断至 255 字符)
## ADDED Requirements
### Requirement: 字段长度限制与截断
系统 SHALL 将部分变长字段截断至数据库允许的最大长度 (VARCHAR(255)),防止写入失败。
#### Scenario: 超长字段处理
- **GIVEN** LauncherVersion, CurrentStatus 或 RebootReason 超过 255 字符
- **WHEN** 消息被处理
- **THEN** 字段被截断为前 255 个字符并入库
### Requirement: 时间戳单位自动识别
系统 SHALL 自动识别 UnixTime 字段是秒还是毫秒,并统一转换为毫秒。
#### Scenario: 秒级时间戳转换
- **GIVEN** UnixTime < 100000000000 (约 1973 年前)
- **WHEN** 解析时间戳
- **THEN** 自动乘以 1000 转换为毫秒

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## 1. Implementation
- [x] Update Kafka Topic in .env and config
- [x] Implement timestamp unit detection and conversion in processor
- [x] Implement field truncation logic in processor
- [x] Update database schema definition (init_db.sql) to VARCHAR(255)
- [x] Verify data ingestion with production stream

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# Change: Optimize Kafka Consumption Performance
## Why
User reports extremely slow Kafka consumption. Current implementation processes and inserts messages one-by-one, which creates a bottleneck at the database network round-trip time (RTT).
## What Changes
- **New Requirement**: Implement Batch Processing for Kafka messages.
- **Refactor**: Decouple message parsing from insertion in `processor`.
- **Logic**:
- Accumulate messages in a buffer (e.g., 500ms or 500 items).
- Perform Batch Insert into PostgreSQL.
- Implement Row-by-Row fallback for batch failures (to isolate bad data).
- Handle DB connection errors with retry loop at batch level.
## Impact
- Affected specs: `onoffline`
- Affected code: `src/index.js`, `src/processor/index.js`
- Performance: Expected 10x-100x throughput increase.

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## ADDED Requirements
### Requirement: 批量消费与写入
系统 SHALL 对 Kafka 消息进行缓冲,并按批次写入数据库,以提高吞吐量。
#### Scenario: 批量写入
- **GIVEN** 短时间内收到多条消息 (e.g., 500条)
- **WHEN** 缓冲区满或超时 (e.g., 200ms)
- **THEN** 执行一次批量数据库插入操作
#### Scenario: 写入失败降级
- **GIVEN** 批量写入因数据错误失败 (非连接错误)
- **WHEN** 捕获异常
- **THEN** 自动降级为逐条写入,以隔离错误数据并确保有效数据入库

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## 1. Implementation
- [ ] Refactor `src/processor/index.js` to export `parseMessageToRows`
- [ ] Implement `BatchProcessor` logic in `src/index.js`
- [ ] Update `handleMessage` to use `BatchProcessor`
- [ ] Verify performance improvement

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# Proposal: Refactor Partition Indexes
## Goal
利用 PostgreSQL 默认的支持,改变每日分区创立时的索引策略,不再在代码中对每个分区单独创建索引。
## Context
当前 `PartitionManager` 在动态创建子分区后,会隐式调用查询在子分区上创建六个单列索引。由于我们使用的是 PostgreSQL 11+,且我们在初始化脚本中的主分区表 `onoffline.onoffline_record` 上已经创建了所有的索引,此主表上的索引会自动应用于所有的子分区,不需要我们在创建分区时另外手动添加。
## Proposed Changes
1.`src/db/partitionManager.js` 中移除子分区显式创建索引的方法 `ensurePartitionIndexes` 以及针对已有子分区的循环索引检查函数 `ensureIndexesForExistingPartitions`
2. 在更新分区流程 `ensurePartitions` 以及 `ensurePartitionsForTimestamps` 中,移除对 `ensurePartitionIndexes` 的调用。

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# Spec Delta: onoffline-backend
## MODIFIED Requirements
### Requirement: 数据库分区策略
系统 SHALL 使用 Range Partitioning 按天分区,并自动维护未来 30 天的分区表,子表依赖 PostgreSQL 原生机制继承主表索引。
#### Scenario: 分区预创建
- **GIVEN** 系统启动或每日凌晨
- **WHEN** 运行分区维护任务
- **THEN** 确保数据库中存在未来 30 天的分区表,无需对子表显式创建单列表索引

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# Tasks: Refactor Partition Indexes
- [x] refactor `src/db/partitionManager.js`: remove `ensurePartitionIndexes` and `ensureIndexesForExistingPartitions`.
- [x] refactor `src/db/partitionManager.js`: update `ensurePartitions` and `ensurePartitionsForTimestamps` to remove calls to `ensurePartitionIndexes`.
- [x] refactor `src/db/initializer.js` (and any other occurrences) to reflect the removal.
- [x] update openspec requirements to clarify that index propagation relies on PostgreSQL parent-table indexes.

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# Change: remove runtime db provisioning
## Why
当前服务在运行时承担了建库、建表和分区维护职责,导致服务职责边界不清晰,也会引入启动阶段 DDL 风险。现已将该能力剥离到根目录 `SQL_Script/`,需要通过 OpenSpec 正式记录为规范变更。
## What Changes
- 移除服务启动阶段的数据库初始化与定时分区维护要求。
- 移除服务在写入失败时自动创建缺失分区的要求。
- 明确数据库结构与分区维护由外部脚本(`SQL_Script/`)负责。
- 保留服务的核心职责Kafka 消费、解析、写库、重试与监控。
## Impact
- Affected specs: `openspec/specs/onoffline/spec.md`
- Affected code: `src/index.js`, `src/config/config.js`, `src/db/initializer.js`, `src/db/partitionManager.js`, `scripts/init_db.sql`, `scripts/verify_partitions.js`, `../SQL_Script/*`

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## MODIFIED Requirements
### Requirement: 数据库分区策略
系统 SHALL 使用 Range Partitioning 按天分区;运行服务本身 SHALL NOT 执行建库、建表、分区创建或定时分区维护。
#### Scenario: 服务启动不执行 DDL
- **GIVEN** 服务进程启动
- **WHEN** 进入 bootstrap 过程
- **THEN** 仅初始化消费、处理、监控相关能力,不执行数据库创建、表结构初始化与分区创建
#### Scenario: 分区由外部脚本维护
- **GIVEN** 需要创建数据库对象或新增未来分区
- **WHEN** 执行外部 SQL/JS 工具
- **THEN** 通过根目录 `SQL_Script/` 完成建库和分区维护,而不是由服务运行时自动执行
### Requirement: 批量消费与写入
系统 SHALL 对 Kafka 消息进行缓冲,并按批次写入数据库,以提高吞吐量;当写入失败时,系统 SHALL 执行连接恢复重试与降级策略,但不在运行时创建数据库分区。
#### Scenario: 批量写入
- **GIVEN** 短时间内收到多条消息 (e.g., 500条)
- **WHEN** 缓冲区满或超时 (e.g., 200ms)
- **THEN** 执行一次批量数据库插入操作
#### Scenario: 写入失败降级
- **GIVEN** 批量写入因数据错误失败 (非连接错误)
- **WHEN** 捕获异常
- **THEN** 自动降级为逐条写入,以隔离错误数据并确保有效数据入库
#### Scenario: 分区缺失错误处理
- **GIVEN** 写入时数据库返回分区缺失错误
- **WHEN** 服务处理该错误
- **THEN** 服务记录错误并按既有错误处理机制处理,不在运行时执行分区创建

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## 1. Implementation
- [x] 1.1 Remove runtime DB initialization from bootstrap flow (`src/index.js`).
- [x] 1.2 Remove scheduled partition maintenance job from runtime service.
- [x] 1.3 Remove runtime missing-partition auto-fix behavior.
- [x] 1.4 Remove legacy DB provisioning modules and scripts from service project.
- [x] 1.5 Add external SQL/JS provisioning scripts under root `SQL_Script/` for DB/schema/partition management.
- [x] 1.6 Update project docs to point DB provisioning to `SQL_Script/`.
## 2. Validation
- [x] 2.1 Run `npm run lint` in `bls-onoffline-backend`.
- [x] 2.2 Run `npm run build` in `bls-onoffline-backend`.
- [x] 2.3 Run `openspec validate remove-runtime-db-provisioning --strict`.

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# Project Context
## Purpose
[Describe your project's purpose and goals]
## Tech Stack
- [List your primary technologies]
- [e.g., TypeScript, React, Node.js]
## Project Conventions
### Code Style
[Describe your code style preferences, formatting rules, and naming conventions]
### Architecture Patterns
[Document your architectural decisions and patterns]
### Testing Strategy
[Explain your testing approach and requirements]
### Git Workflow
[Describe your branching strategy and commit conventions]
## Domain Context
[Add domain-specific knowledge that AI assistants need to understand]
## Important Constraints
[List any technical, business, or regulatory constraints]
## External Dependencies
[Document key external services, APIs, or systems]

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# Spec: onoffline-backend
## Purpose
从 Kafka 消费设备上下线事件并按规则写入 PostgreSQL 分区表,确保高可靠性、幂等写入和错误恢复能力。
## Requirements
### Requirement: 消费并落库
系统 SHALL 从 blwlog4Nodejs-rcu-onoffline-topic-0 消费消息,并写入 log_platform.onoffline.onoffline_record。
#### Scenario: 非重启数据写入
- **GIVEN** RebootReason 为空或不存在
- **WHEN** 消息被处理
- **THEN** current_status 等于 CurrentStatus (截断至 255 字符)
### Requirement: 重启数据处理
系统 SHALL 在 RebootReason 非空时强制 current_status 为 on。
#### Scenario: 重启数据写入
- **GIVEN** RebootReason 为非空值
- **WHEN** 消息被处理
- **THEN** current_status 等于 on
### Requirement: 空值保留
系统 SHALL 保留上游空值,不对字段进行补 0。
#### Scenario: 空值写入
- **GIVEN** LauncherVersion 或 RebootReason 为空字符串
- **WHEN** 消息被处理
- **THEN** 数据库存储值为对应的空字符串
### Requirement: 数据库分区策略
系统 SHALL 使用 Range Partitioning 按天分区,并自动维护未来 30 天的分区表,子表依赖 PostgreSQL 原生机制继承主表索引。
#### Scenario: 分区预创建
- **GIVEN** 系统启动或每日凌晨
- **WHEN** 运行分区维护任务
- **THEN** 确保数据库中存在未来 30 天的分区表,无需对子表显式创建单列表索引
### Requirement: 消费可靠性 (At-Least-Once)
系统 SHALL 仅在数据成功写入数据库后,才向 Kafka 提交消费位点。
#### Scenario: 逐条确认与顺序提交
- **GIVEN** 并发处理多条消息 (Offset 1, 2, 3)
- **WHEN** Offset 2 先完成Offset 1 尚未完成
- **THEN** 系统不提交 Offset 2直到 Offset 1 也完成,才提交 Offset 3 (即 1, 2, 3 都完成)
### Requirement: 数据库离线保护
系统 SHALL 在数据库连接丢失时暂停消费,防止数据堆积或丢失。
#### Scenario: 数据库断连
- **GIVEN** 数据库连接失败 (ECONNREFUSED 等)
- **WHEN** 消费者尝试写入
- **THEN** 暂停 Kafka 消费 1 分钟,并进入轮询检测模式,直到数据库恢复
### Requirement: 幂等写入
系统 SHALL 处理重复消费的数据,防止主键冲突。
#### Scenario: 重复数据处理
- **GIVEN** Kafka 重新投递已处理过的消息
- **WHEN** 尝试写入数据库
- **THEN** 使用 `ON CONFLICT DO NOTHING` 忽略冲突,视为处理成功
### Requirement: 性能与日志
系统 SHALL 最小化正常运行时的日志输出。
#### Scenario: 正常运行日志
- **GIVEN** 数据正常处理
- **WHEN** 写入成功
- **THEN** 不输出单条日志,仅每分钟输出聚合统计 (Pulled/Inserted)
### Requirement: 字段长度限制与截断
系统 SHALL 将部分变长字段截断至数据库允许的最大长度 (VARCHAR(255)),防止写入失败。
#### Scenario: 超长字段处理
- **GIVEN** LauncherVersion, CurrentStatus 或 RebootReason 超过 255 字符
- **WHEN** 消息被处理
- **THEN** 字段被截断为前 255 个字符并入库
### Requirement: 时间戳单位自动识别
系统 SHALL 自动识别 UnixTime 字段是秒还是毫秒,并统一转换为毫秒。
#### Scenario: 秒级时间戳转换
- **GIVEN** UnixTime < 100000000000 (约 1973 年前)
- **WHEN** 解析时间戳
- **THEN** 自动乘以 1000 转换为毫秒
### Requirement: 批量消费与写入
系统 SHALL 对 Kafka 消息进行缓冲,并按批次写入数据库,以提高吞吐量;当写入失败时,系统 SHALL 执行连接恢复重试与降级策略,但不在运行时创建数据库分区。
#### Scenario: 批量写入
- **GIVEN** 短时间内收到多条消息 (e.g., 500条)
- **WHEN** 缓冲区满或超时 (e.g., 200ms)
- **THEN** 执行一次批量数据库插入操作
#### Scenario: 写入失败降级
- **GIVEN** 批量写入因数据错误失败 (非连接错误)
- **WHEN** 捕获异常
- **THEN** 自动降级为逐条写入,以隔离错误数据并确保有效数据入库
#### Scenario: 分区缺失错误处理
- **GIVEN** 写入时数据库返回分区缺失错误
- **WHEN** 服务处理该错误
- **THEN** 服务记录错误并按既有错误处理机制处理,不在运行时执行分区创建

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## Implementation Status
- **Date**: 2026-02-04
- **Status**: Completed
- **Notes**:
- 已完成核心消费逻辑、分区管理、数据库幂等写入。
- 已处理数据库连接泄露 (EADDRINUSE) 问题,增加了离线保护机制。
- 已修复时间戳单位问题 (Seconds -> MS)。
- 已将关键字段长度扩展至 VARCHAR(255) 并增加了代码层截断保护。
- 验证了数据积压消费能力。
- 本阶段开发任务已归档。

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{"level":"info","message":"Starting register consumer","timestamp":1773480367035,"context":{"env":"development","kafka":{"brokers":["kafka.blv-oa.com:9092"],"topic":"blwlog4Nodejs-rcu-register-topic","groupId":"bls-register-consumer-probe-1773480366464"},"db":{"host":"10.8.8.80","port":5434,"database":"log_platform","schema":"rcu_info","table":"rcu_info_events_g5","roomStatusSchema":"room_status","roomStatusTable":"room_status_moment_g5"},"flushIntervalMs":3000}}
{"level":"info","message":"Kafka Consumer rebalancing","timestamp":1773480367119,"context":{"groupId":"bls-register-consumer-probe-1773480366464","clientId":"bls-register-producer"}}
{"level":"info","message":"Kafka Consumer connected","timestamp":1773480367237,"context":{"groupId":"bls-register-consumer-probe-1773480366464","clientId":"bls-register-producer"}}
{"level":"info","message":"Kafka Consumer rebalanced","timestamp":1773480367237,"context":{"clientId":"bls-register-producer","groupId":"bls-register-consumer-probe-1773480366464"}}
{"level":"info","message":"Run counters","timestamp":1773480377038,"context":{"kafkaPulled":23,"dbInserted":23,"parseError":0,"dbFailed":0}}
{"level":"info","message":"Run counters","timestamp":1773480387038,"context":{"kafkaPulled":37,"dbInserted":31,"parseError":0,"dbFailed":0}}
[probe] published topic=blwlog4Nodejs-rcu-register-topic ts_ms=1773480366464 hotel_id=1172 room_id=515
[probe-db] event_rows=1
[probe-db] event.ts_ms=1773480366464 room_id=515 app_version=v1.2
[probe-db] event.udp_raw=YWJjZGVm
[probe-db] room_status_rows=1
[probe-db] room_status.room_id=515 register_ts_ms=1773480366464 upgrade_ts_ms=1773480367698

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{
"name": "bls-register-backend",
"version": "1.0.0",
"type": "module",
"private": true,
"scripts": {
"dev": "node src/index.js",
"build": "vite build --ssr src/index.js --outDir dist",
"test": "vitest run",
"lint": "node scripts/lint.js",
"spec:lint": "openspec validate --specs --strict --no-interactive",
"spec:validate": "openspec validate --specs --no-interactive",
"start": "node dist/index.js"
},
"dependencies": {
"dotenv": "^16.4.5",
"kafka-node": "^5.0.0",
"node-cron": "^4.2.1",
"pg": "^8.11.5",
"redis": "^4.6.13",
"zod": "^4.3.6"
},
"devDependencies": {
"vite": "^5.4.0",
"vitest": "^4.0.18"
}
}

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[probe] published topic=blwlog4Nodejs-rcu-register-topic ts_ms=1773480366464 hotel_id=1172 room_id=515

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import fs from 'fs';
import path from 'path';
import { fileURLToPath } from 'url';
import { spawnSync } from 'child_process';
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
const projectRoot = path.resolve(__dirname, '..');
const targets = ['src', 'tests'];
const collectFiles = (dir) => {
if (!fs.existsSync(dir)) {
return [];
}
const entries = fs.readdirSync(dir, { withFileTypes: true });
return entries.flatMap((entry) => {
const fullPath = path.join(dir, entry.name);
if (entry.isDirectory()) {
return collectFiles(fullPath);
}
if (entry.isFile() && fullPath.endsWith('.js')) {
return [fullPath];
}
return [];
});
};
const files = targets.flatMap((target) => collectFiles(path.join(projectRoot, target)));
const failures = [];
files.forEach((file) => {
const result = spawnSync(process.execPath, ['--check', file], { stdio: 'inherit' });
if (result.status !== 0) {
failures.push(file);
}
});
if (failures.length > 0) {
process.exit(1);
}

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import dotenv from 'dotenv';
import kafka from 'kafka-node';
dotenv.config();
const probeTs = Number(process.argv[2] || Date.now());
const probeRoom = process.argv[3] || `PROBE-${probeTs}`;
const probeHotelId = Number(process.argv[4] || 1085);
const topic = process.env.KAFKA_TOPIC || process.env.KAFKA_TOPICS || 'blwlog4Nodejs-rcu-register-topic';
const kafkaHost = (process.env.KAFKA_BROKERS || '').split(',').map((s) => s.trim()).filter(Boolean).join(',');
const saslEnabled = process.env.KAFKA_SASL_ENABLED === 'true';
const sslEnabled = process.env.KAFKA_SSL_ENABLED === 'true';
const kafkaClientOptions = {
kafkaHost,
clientId: process.env.KAFKA_CLIENT_ID || 'bls-register-producer'
};
if (saslEnabled && process.env.KAFKA_SASL_USERNAME && process.env.KAFKA_SASL_PASSWORD) {
kafkaClientOptions.sasl = {
mechanism: process.env.KAFKA_SASL_MECHANISM || 'plain',
username: process.env.KAFKA_SASL_USERNAME,
password: process.env.KAFKA_SASL_PASSWORD
};
}
if (sslEnabled) {
kafkaClientOptions.sslOptions = { rejectUnauthorized: false };
}
const payload = {
ts_ms: probeTs,
upgrade_ts_ms: probeTs + 1234,
hotel_id: Number.isFinite(probeHotelId) ? probeHotelId : 1085,
room_id: probeRoom,
device_id: `probe-device-${probeTs}`,
is_send: 0,
udp_raw: 'abc\u0000def',
extra: { source: 'probe', note: 'with\\u0000nul' },
app_version: 'v1\u0000.2',
launcher_version: 'launcher-1',
config_version: 'cfg-1'
};
const client = new kafka.KafkaClient(kafkaClientOptions);
const producer = new kafka.Producer(client);
producer.on('ready', () => {
producer.send(
[{ topic, messages: JSON.stringify(payload) }],
(err) => {
if (err) {
console.error(`[probe] publish failed: ${err.message}`);
process.exit(1);
}
console.log(`[probe] published topic=${topic} ts_ms=${probeTs} hotel_id=${payload.hotel_id} room_id=${probeRoom}`);
producer.close(() => client.close(() => process.exit(0)));
}
);
});
producer.on('error', (err) => {
console.error(`[probe] producer error: ${err.message}`);
process.exit(1);
});

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$ErrorActionPreference = "Stop"
Remove-Item -Force out.log -ErrorAction SilentlyContinue
$p = Start-Process -FilePath node -ArgumentList 'src/index.js' -WorkingDirectory (Get-Location).Path -RedirectStandardOutput 'out.log' -RedirectStandardError 'out.log' -PassThru
Start-Sleep -Seconds 30
Stop-Process -Id $p.Id -Force
Start-Sleep -Seconds 1
Add-Content -Path out.log -Value "[runner] stopped after 30s"

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import dotenv from 'dotenv';
import pg from 'pg';
dotenv.config();
const probeTs = Number(process.argv[2]);
const probeRoom = process.argv[3];
const probeHotelId = Number(process.argv[4]);
if (!Number.isFinite(probeTs) || !probeRoom || !Number.isFinite(probeHotelId)) {
console.error('Usage: node scripts/verifyProbeInDb.js <probeTs> <probeRoom> <probeHotelId>');
process.exit(1);
}
const pool = new pg.Pool({
host: process.env.POSTGRES_HOST_G5,
port: Number(process.env.POSTGRES_PORT_G5 || 5434),
user: process.env.POSTGRES_USER_G5,
password: process.env.POSTGRES_PASSWORD_G5,
database: process.env.POSTGRES_DATABASE_G5,
max: 1
});
const main = async () => {
const eventResult = await pool.query(
`SELECT ts_ms, room_id, app_version, udp_raw
FROM rcu_info.rcu_info_events_g5
WHERE ts_ms = $1 AND room_id = $2
ORDER BY write_ts_ms DESC
LIMIT 1`,
[probeTs, probeRoom]
);
const statusResult = await pool.query(
`SELECT hotel_id, room_id, app_version, launcher_version, config_version, upgrade_ts_ms, register_ts_ms
FROM room_status.room_status_moment_g5
WHERE hotel_id = $1 AND room_id = $2
LIMIT 1`,
[probeHotelId, probeRoom]
);
console.log(`[probe-db] event_rows=${eventResult.rowCount}`);
if (eventResult.rowCount > 0) {
const row = eventResult.rows[0];
console.log(`[probe-db] event.ts_ms=${row.ts_ms} room_id=${row.room_id} app_version=${row.app_version}`);
console.log(`[probe-db] event.udp_raw=${row.udp_raw}`);
}
console.log(`[probe-db] room_status_rows=${statusResult.rowCount}`);
if (statusResult.rowCount > 0) {
const row = statusResult.rows[0];
console.log(`[probe-db] room_status.room_id=${row.room_id} register_ts_ms=${row.register_ts_ms} upgrade_ts_ms=${row.upgrade_ts_ms}`);
} else {
console.log('[probe-db] room_status row not found (expected behavior when key does not exist)');
}
};
main()
.then(async () => {
await pool.end();
process.exit(0);
})
.catch(async (err) => {
console.error(`[probe-db] verify failed: ${err.message}`);
await pool.end();
process.exit(1);
});

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import { config } from '../src/config/config.js';
import dbManager from '../src/db/databaseManager.js';
import { logger } from '../src/utils/logger.js';
const verifyData = async () => {
const client = await dbManager.pool.connect();
try {
console.log('Verifying data in database...');
// Count total rows
const countSql = `SELECT count(*) FROM ${config.db.schema}.${config.db.table}`;
const countRes = await client.query(countSql);
console.log(`Total rows in ${config.db.schema}.${config.db.table}: ${countRes.rows[0].count}`);
// Check recent rows
const recentSql = `
SELECT * FROM ${config.db.schema}.${config.db.table}
ORDER BY ts_ms DESC
LIMIT 5
`;
const recentRes = await client.query(recentSql);
console.log('Recent 5 rows:');
recentRes.rows.forEach(row => {
console.log(JSON.stringify(row));
});
} catch (err) {
console.error('Error verifying data:', err);
} finally {
client.release();
await dbManager.pool.end();
}
};
verifyData();

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bls-onoffline-backend 规格说明
1. Kafka 数据结构
{
"HotelCode": "1085",
"MAC": "00:1A:2B:3C:4D:5E",
"HostNumber": "091123987456",
"RoomNumber": "8888房",
"EndPoint": "50.2.60.1:6543",
"CurrentStatus": "on",
"CurrentTime": "2026-02-02T10:30:00Z",
"UnixTime": 1770000235000,
"LauncherVersion": "1.0.0",
"RebootReason": "1"
}
2. Kafka 主题
Topicblwlog4Nodejs-rcu-onoffline-topic
3. 数据库结构
数据库log_platform
onoffline_record
字段:
guid varchar(32)
ts_ms int8
write_ts_ms int8
hotel_id int2
mac varchar(21)
device_id varchar(64)
room_id varchar(64)
ip varchar(21)
current_status varchar(10)
launcher_version varchar(10)
reboot_reason varchar(10)
主键ts_ms, mac, device_id, room_id
按 ts_ms 每日分区
G5库结构双写临时接入
库同为log_platform
onoffline_record_g5
差异字段:
- guid 为 int4由库自己生成。
- record_source 固定为 CRICS。
- current_status 为 int2on映射为1off映射为2其余为0。
支持通过环境变量开关双写。
4. 数据处理规则
非重启数据reboot_reason 为空或不存在current_status 取 CurrentStatus
重启数据reboot_reason 不为空current_status 固定为 on
其余字段直接按 Kafka 原值落库,空值不补 0

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import dotenv from 'dotenv';
dotenv.config();
const parseNumber = (value, defaultValue) => {
const parsed = Number(value);
return Number.isFinite(parsed) ? parsed : defaultValue;
};
const parseList = (value) =>
(value || '')
.split(',')
.map((item) => item.trim())
.filter(Boolean);
export const config = {
env: process.env.NODE_ENV || 'development',
port: parseNumber(process.env.PORT, 3001),
kafka: {
brokers: parseList(process.env.KAFKA_BROKERS),
topic: process.env.KAFKA_TOPIC || process.env.KAFKA_TOPICS || 'blwlog4Nodejs-rcu-register-topic',
groupId: process.env.KAFKA_GROUP_ID || 'bls-register-consumer',
clientId: process.env.KAFKA_CLIENT_ID || 'bls-register-consumer-client',
consumerInstances: parseNumber(process.env.KAFKA_CONSUMER_INSTANCES, 1),
maxInFlight: parseNumber(process.env.KAFKA_MAX_IN_FLIGHT, 20000),
fetchMaxBytes: parseNumber(process.env.KAFKA_FETCH_MAX_BYTES, 50 * 1024 * 1024),
fetchMinBytes: parseNumber(process.env.KAFKA_FETCH_MIN_BYTES, 256 * 1024),
fetchMaxWaitMs: parseNumber(process.env.KAFKA_FETCH_MAX_WAIT_MS, 100),
fromOffset: process.env.KAFKA_FROM_OFFSET || 'latest',
autoCommitIntervalMs: parseNumber(process.env.KAFKA_AUTO_COMMIT_INTERVAL_MS, 5000),
commitIntervalMs: parseNumber(process.env.KAFKA_COMMIT_INTERVAL_MS, 200),
commitOnAttempt: process.env.KAFKA_COMMIT_ON_ATTEMPT === 'true',
batchSize: parseNumber(process.env.KAFKA_BATCH_SIZE, 5000),
batchTimeoutMs: parseNumber(process.env.KAFKA_BATCH_TIMEOUT_MS, 50),
flushIntervalMs: parseNumber(process.env.KAFKA_FLUSH_INTERVAL_MS, 3000),
logMessages: process.env.KAFKA_LOG_MESSAGES === 'true',
sasl: process.env.KAFKA_SASL_USERNAME && process.env.KAFKA_SASL_PASSWORD ? {
mechanism: process.env.KAFKA_SASL_MECHANISM || 'plain',
username: process.env.KAFKA_SASL_USERNAME,
password: process.env.KAFKA_SASL_PASSWORD
} : undefined
},
db: {
host: process.env.POSTGRES_HOST_G5,
port: parseNumber(process.env.POSTGRES_PORT_G5, 5434),
user: process.env.POSTGRES_USER_G5,
password: process.env.POSTGRES_PASSWORD_G5,
database: process.env.POSTGRES_DATABASE_G5,
max: parseNumber(process.env.POSTGRES_MAX_CONNECTIONS_G5, 6),
ssl: process.env.POSTGRES_SSL_G5 === 'true' ? { rejectUnauthorized: false } : undefined,
schema: process.env.DB_SCHEMA || 'rcu_info',
table: process.env.DB_TABLE || 'rcu_info_events_g5',
roomStatusSchema: process.env.DB_ROOM_STATUS_SCHEMA || 'room_status',
roomStatusTable: process.env.DB_ROOM_STATUS_TABLE || 'room_status_moment_g5'
},
redis: {
host: process.env.REDIS_HOST || 'localhost',
port: parseNumber(process.env.REDIS_PORT, 6379),
password: process.env.REDIS_PASSWORD || undefined,
db: parseNumber(process.env.REDIS_DB, 0),
projectName: process.env.REDIS_PROJECT_NAME || 'bls-onoffline',
apiBaseUrl: process.env.REDIS_API_BASE_URL || `http://localhost:${parseNumber(process.env.PORT, 3001)}`
}
};

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import pg from 'pg';
import { config } from '../config/config.js';
import { logger } from '../utils/logger.js';
const { Pool } = pg;
const registerColumns = [
'ts_ms',
'hotel_id',
'room_id',
'device_id',
'write_ts_ms',
'is_send',
'udp_raw',
'extra',
'ip_type',
'model_num',
'server_ip',
'ip',
'subnet_mask',
'gateway',
'dns',
'app_version',
'rcu_time',
'launcher_version',
'mac',
'room_type_id',
'config_version',
'room_status',
'season',
'sys_lock_status',
'authorization_time',
'authorization_days',
'room_num_remark',
'room_type_remark',
'room_remark',
'mcu_name',
'central_control_name',
'configure_hotel_name',
'configure_room_type_name'
];
const roomStatusColumns = [
'hotel_id',
'room_id',
'app_version',
'launcher_version',
'config_version',
'upgrade_ts_ms',
'register_ts_ms'
];
export class DatabaseManager {
constructor(dbConfig) {
this.pool = new Pool({
host: dbConfig.host,
port: dbConfig.port,
user: dbConfig.user,
password: dbConfig.password,
database: dbConfig.database,
max: dbConfig.max,
ssl: dbConfig.ssl
});
}
async insertRegisterRows({ schema, table, rows }) {
if (!rows || rows.length === 0) {
return;
}
const statement = `
INSERT INTO ${schema}.${table} (${registerColumns.join(', ')})
SELECT *
FROM UNNEST(
$1::int8[],
$2::int2[],
$3::text[],
$4::text[],
$5::int8[],
$6::int2[],
$7::text[],
$8::jsonb[],
$9::int2[],
$10::text[],
$11::text[],
$12::text[],
$13::text[],
$14::text[],
$15::text[],
$16::text[],
$17::text[],
$18::text[],
$19::text[],
$20::int8[],
$21::text[],
$22::int4[],
$23::int4[],
$24::int4[],
$25::text[],
$26::text[],
$27::text[],
$28::text[],
$29::text[],
$30::text[],
$31::text[],
$32::text[],
$33::text[]
)
ON CONFLICT DO NOTHING
`;
try {
const params = registerColumns.map((column) => rows.map((row) => row[column] ?? null));
await this.pool.query(statement, params);
} catch (error) {
logger.error('Register table insert failed', {
error: error?.message,
schema,
table,
rowsLength: rows.length
});
throw error;
}
}
async updateRoomStatusRows({ schema, table, rows }) {
if (!rows || rows.length === 0) {
return;
}
const statement = `
WITH incoming AS (
SELECT *
FROM UNNEST(
$1::int2[],
$2::text[],
$3::text[],
$4::text[],
$5::text[],
$6::int8[],
$7::int8[]
) AS u(${roomStatusColumns.join(', ')})
), dedup AS (
SELECT DISTINCT ON (hotel_id, room_id)
hotel_id,
room_id,
app_version,
launcher_version,
config_version,
upgrade_ts_ms,
register_ts_ms
FROM incoming
ORDER BY hotel_id, room_id, register_ts_ms DESC
), existing AS (
SELECT i.*, t.device_id
FROM dedup i
INNER JOIN ${schema}.${table} t
ON t.hotel_id = i.hotel_id
AND t.room_id = i.room_id
)
INSERT INTO ${schema}.${table} (
hotel_id,
room_id,
device_id,
app_version,
launcher_version,
config_version,
upgrade_ts_ms,
register_ts_ms
)
SELECT
hotel_id,
room_id,
device_id,
app_version,
launcher_version,
config_version,
upgrade_ts_ms,
register_ts_ms
FROM existing
ON CONFLICT (hotel_id, room_id) DO UPDATE
SET
app_version = EXCLUDED.app_version,
launcher_version = EXCLUDED.launcher_version,
config_version = EXCLUDED.config_version,
upgrade_ts_ms = EXCLUDED.upgrade_ts_ms,
register_ts_ms = EXCLUDED.register_ts_ms
`;
try {
const params = roomStatusColumns.map((column) => rows.map((row) => row[column] ?? null));
await this.pool.query(statement, params);
} catch (error) {
logger.error('Room status table update failed', {
error: error?.message,
schema,
table,
rowsLength: rows.length
});
throw error;
}
}
async checkConnection() {
let client;
try {
const connectPromise = this.pool.connect();
// Create a timeout promise that rejects after 5000ms
const timeoutPromise = new Promise((_, reject) => {
setTimeout(() => reject(new Error('Connection timeout')), 5000);
});
try {
// Race the connection attempt against the timeout
client = await Promise.race([connectPromise, timeoutPromise]);
} catch (raceError) {
// If we timed out, the connectPromise might still resolve later.
// We must ensure that if it does, the client is released back to the pool immediately.
connectPromise.then(c => c.release()).catch(() => {});
throw raceError;
}
await client.query('SELECT 1');
return true;
} catch (err) {
logger.error('Database check connection failed', { error: err.message });
return false;
} finally {
if (client) {
client.release();
}
}
}
async close() {
await this.pool.end();
}
}
const dbManager = new DatabaseManager(config.db);
export default dbManager;

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import pg from 'pg';
import { config } from '../config/config.js';
import { logger } from '../utils/logger.js';
const { Pool } = pg;
const g5Columns = [
'ts_ms',
'write_ts_ms',
'hotel_id',
'mac',
'device_id',
'room_id',
'ip',
'current_status',
'launcher_version',
'reboot_reason',
'record_source'
];
export class G5DatabaseManager {
constructor(dbConfig) {
if (!dbConfig.enabled) return;
this.pool = new Pool({
host: dbConfig.host,
port: dbConfig.port,
user: dbConfig.user,
password: dbConfig.password,
database: dbConfig.database,
max: dbConfig.max,
ssl: dbConfig.ssl
});
}
async insertRows({ schema, table, rows }) {
if (!this.pool || !rows || rows.length === 0) {
return;
}
const statement = `
INSERT INTO ${schema}.${table} (${g5Columns.join(', ')})
SELECT *
FROM UNNEST(
$1::int8[],
$2::int8[],
$3::int2[],
$4::text[],
$5::text[],
$6::text[],
$7::text[],
$8::int2[],
$9::text[],
$10::text[],
$11::text[]
)
ON CONFLICT DO NOTHING
`;
try {
const params = g5Columns.map((column) => {
return rows.map((row) => {
if (column === 'record_source') {
return 'CRICS';
}
if (column === 'current_status') {
// current_status in G5 is int2
if (row.current_status === 'on') return 1;
if (row.current_status === 'off') return 2;
return 0;
}
return row[column] ?? null;
});
});
await this.pool.query(statement, params);
} catch (error) {
logger.error('G5 Database insert failed', {
error: error?.message,
schema,
table,
rowsLength: rows.length
});
throw error;
}
}
async checkConnection() {
if (!this.pool) return true; // Pretend it's ok if disabled
let client;
try {
const connectPromise = this.pool.connect();
const timeoutPromise = new Promise((_, reject) => {
setTimeout(() => reject(new Error('Connection timeout')), 5000);
});
try {
client = await Promise.race([connectPromise, timeoutPromise]);
} catch (raceError) {
connectPromise.then(c => c.release()).catch(() => { });
throw raceError;
}
await client.query('SELECT 1');
return true;
} catch (err) {
logger.error('G5 Database check connection failed', { error: err.message });
return false;
} finally {
if (client) {
client.release();
}
}
}
async close() {
if (this.pool) {
await this.pool.end();
}
}
}
const g5DbManager = new G5DatabaseManager(config.g5db);
export default g5DbManager;

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import cron from 'node-cron';
import { config } from './config/config.js';
import dbManager from './db/databaseManager.js';
import { createKafkaConsumers } from './kafka/consumer.js';
import { parseMessageToRows } from './processor/index.js';
import { MetricCollector } from './utils/metricCollector.js';
import { logger } from './utils/logger.js';
const NETWORK_CODES = new Set([
'ECONNREFUSED',
'ECONNRESET',
'EPIPE',
'ETIMEDOUT',
'ENOTFOUND',
'EHOSTUNREACH',
'ENETUNREACH',
'57P03',
'08006',
'08001',
'08000',
'08003'
]);
const isDbConnectionError = (err) => {
if (typeof err?.code === 'string' && NETWORK_CODES.has(err.code)) {
return true;
}
const message = typeof err?.message === 'string' ? err.message.toLowerCase() : '';
return (
message.includes('connection timeout') ||
message.includes('connection terminated') ||
message.includes('connection refused') ||
message.includes('terminating connection') ||
message.includes('econnrefused') ||
message.includes('econnreset') ||
message.includes('etimedout') ||
message.includes('could not connect') ||
message.includes('the database system is starting up') ||
message.includes('no pg_hba.conf entry')
);
};
const sleep = (ms) => new Promise((resolve) => setTimeout(resolve, ms));
const bootstrap = async () => {
logger.info('Starting register consumer', {
env: config.env,
kafka: {
brokers: config.kafka.brokers,
topic: config.kafka.topic,
groupId: config.kafka.groupId
},
db: {
host: config.db.host,
port: config.db.port,
database: config.db.database,
schema: config.db.schema,
table: config.db.table,
roomStatusSchema: config.db.roomStatusSchema,
roomStatusTable: config.db.roomStatusTable
},
flushIntervalMs: config.kafka.flushIntervalMs
});
const metricCollector = new MetricCollector();
const totals = {
kafkaPulled: 0,
dbInserted: 0,
parseError: 0,
dbFailed: 0
};
const flushIntervalMs = Math.max(3000, Number.isFinite(config.kafka.flushIntervalMs) ? config.kafka.flushIntervalMs : 3000);
const queue = [];
let flushTimer = null;
let flushing = false;
const runCounterTimer = setInterval(() => {
logger.info('Run counters', {
kafkaPulled: totals.kafkaPulled,
dbInserted: totals.dbInserted,
parseError: totals.parseError,
dbFailed: totals.dbFailed
});
}, 10000);
const handleError = (error, message) => {
logger.error('Kafka processing error', {
error: error?.message,
type: error?.type,
topic: message?.topic,
partition: message?.partition,
offset: message?.offset
});
};
cron.schedule('* * * * *', () => {
const metrics = metricCollector.getAndReset();
const flushAvgMs = metrics.batch_flush_count > 0
? (metrics.batch_flush_ms_sum / metrics.batch_flush_count).toFixed(1)
: '0.0';
const dbAvgMs = metrics.db_insert_count > 0
? (metrics.db_insert_ms_sum / metrics.db_insert_count).toFixed(1)
: '0.0';
logger.info('Minute metrics', {
kafkaPulled: metrics.kafka_pulled,
parseError: metrics.parse_error,
dbInserted: metrics.db_inserted,
dbFailed: metrics.db_failed,
flushAvgMs,
dbAvgMs
});
});
const processValidRowsWithRetry = async (registerRows, roomStatusRows) => {
const startedAt = Date.now();
while (true) {
try {
await dbManager.insertRegisterRows({
schema: config.db.schema,
table: config.db.table,
rows: registerRows
});
await dbManager.updateRoomStatusRows({
schema: config.db.roomStatusSchema,
table: config.db.roomStatusTable,
rows: roomStatusRows
});
metricCollector.increment('db_insert_count', 1);
metricCollector.increment('db_insert_ms_sum', Date.now() - startedAt);
metricCollector.increment('db_inserted', registerRows.length);
totals.dbInserted += registerRows.length;
return;
} catch (err) {
if (!isDbConnectionError(err)) {
throw err;
}
logger.warn('Database unavailable, retrying in 5s', { error: err?.message });
await sleep(5000);
}
}
};
const scheduleFlush = () => {
if (flushTimer) {
return;
}
flushTimer = setTimeout(() => {
flushTimer = null;
void flushQueue();
}, flushIntervalMs);
};
const flushQueue = async () => {
if (flushing) {
return;
}
if (queue.length === 0) {
return;
}
flushing = true;
const startedAt = Date.now();
const currentBatch = queue.splice(0, queue.length);
const parsedItems = [];
for (const item of currentBatch) {
try {
const parsed = parseMessageToRows(item.message);
parsedItems.push({ item, parsed });
} catch (err) {
metricCollector.increment('parse_error');
totals.parseError += 1;
handleError(err, item.message);
item.resolve();
}
}
const insertParsedItems = async (items) => {
if (items.length === 0) {
return;
}
const registerRows = items.flatMap((it) => it.parsed.registerRows);
const roomStatusRows = items.flatMap((it) => it.parsed.roomStatusRows);
try {
await processValidRowsWithRetry(registerRows, roomStatusRows);
} catch (err) {
if (items.length > 1) {
const mid = Math.floor(items.length / 2);
await insertParsedItems(items.slice(0, mid));
await insertParsedItems(items.slice(mid));
return;
}
metricCollector.increment('db_failed', 1);
totals.dbFailed += 1;
handleError(err, items[0].item.message);
}
};
if (parsedItems.length > 0) {
await insertParsedItems(parsedItems);
for (const parsedItem of parsedItems) {
parsedItem.item.resolve();
}
}
metricCollector.increment('batch_flush_count', 1);
metricCollector.increment('batch_flush_ms_sum', Date.now() - startedAt);
flushing = false;
if (queue.length > 0) {
scheduleFlush();
}
};
const handleMessage = (message) => {
metricCollector.increment('kafka_pulled');
totals.kafkaPulled += 1;
return new Promise((resolve) => {
queue.push({ message, resolve });
scheduleFlush();
});
};
const consumers = createKafkaConsumers({
kafkaConfig: config.kafka,
onMessage: handleMessage,
onError: handleError
});
const shutdown = async (signal) => {
logger.info(`Received ${signal}, shutting down...`);
try {
if (flushTimer) {
clearTimeout(flushTimer);
flushTimer = null;
}
clearInterval(runCounterTimer);
await flushQueue();
if (consumers && consumers.length > 0) {
await Promise.all(consumers.map((consumer) => new Promise((resolve) => consumer.close(true, resolve))));
}
await dbManager.close();
logger.info('Run summary', {
kafkaPulled: totals.kafkaPulled,
dbInserted: totals.dbInserted,
parseError: totals.parseError,
dbFailed: totals.dbFailed
});
process.exit(0);
} catch (err) {
logger.error('Error during shutdown', { error: err?.message });
process.exit(1);
}
};
process.on('SIGTERM', () => shutdown('SIGTERM'));
process.on('SIGINT', () => shutdown('SIGINT'));
};
bootstrap().catch((error) => {
logger.error('Service bootstrap failed', { error: error?.message });
process.exit(1);
});

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import kafka from 'kafka-node';
import { logger } from '../utils/logger.js';
const { ConsumerGroup } = kafka;
import { OffsetTracker } from './offsetTracker.js';
const createOneConsumer = ({ kafkaConfig, onMessage, onError, instanceIndex }) => {
const kafkaHost = kafkaConfig.brokers.join(',');
const clientId = instanceIndex === 0 ? kafkaConfig.clientId : `${kafkaConfig.clientId}-${instanceIndex}`;
const id = `${clientId}-${process.pid}-${Date.now()}`;
const maxInFlight = Number.isFinite(kafkaConfig.maxInFlight) ? kafkaConfig.maxInFlight : 5000;
const commitIntervalMs = Number.isFinite(kafkaConfig.commitIntervalMs) ? kafkaConfig.commitIntervalMs : 200;
let inFlight = 0;
const tracker = new OffsetTracker();
let pendingCommits = new Map(); // key: `${topic}-${partition}` -> { topic, partition, offset }
let commitTimer = null;
const flushCommits = () => {
if (pendingCommits.size === 0) return;
const batch = pendingCommits;
pendingCommits = new Map();
consumer.sendOffsetCommitRequest(
Array.from(batch.values()),
(err) => {
if (err) {
for (const [k, v] of batch.entries()) {
pendingCommits.set(k, v);
}
logger.error('Kafka commit failed', { error: err?.message, count: batch.size });
}
}
);
};
const scheduleCommitFlush = () => {
if (commitTimer) return;
commitTimer = setTimeout(() => {
commitTimer = null;
flushCommits();
}, commitIntervalMs);
};
const consumer = new ConsumerGroup(
{
kafkaHost,
groupId: kafkaConfig.groupId,
clientId,
id,
fromOffset: kafkaConfig.fromOffset || 'latest',
protocol: ['roundrobin'],
outOfRangeOffset: 'latest',
autoCommit: false,
autoCommitIntervalMs: kafkaConfig.autoCommitIntervalMs,
fetchMaxBytes: kafkaConfig.fetchMaxBytes,
fetchMinBytes: kafkaConfig.fetchMinBytes,
fetchMaxWaitMs: kafkaConfig.fetchMaxWaitMs,
sasl: kafkaConfig.sasl
},
kafkaConfig.topic
);
const tryResume = () => {
if (inFlight < maxInFlight && consumer.paused) {
consumer.resume();
}
};
consumer.on('message', (message) => {
inFlight += 1;
tracker.add(message.topic, message.partition, message.offset);
if (inFlight >= maxInFlight) {
consumer.pause();
}
Promise.resolve(onMessage(message))
.then(() => {})
.catch((error) => {
logger.error('Kafka message handling failed', { error: error?.message });
if (onError) {
onError(error, message);
}
})
.finally(() => {
const commitOffset = tracker.markDone(message.topic, message.partition, message.offset);
if (commitOffset !== null) {
const key = `${message.topic}-${message.partition}`;
pendingCommits.set(key, {
topic: message.topic,
partition: message.partition,
offset: commitOffset,
metadata: 'm'
});
scheduleCommitFlush();
}
inFlight -= 1;
tryResume();
});
});
consumer.on('error', (error) => {
logger.error('Kafka consumer error', { error: error?.message });
if (onError) {
onError(error);
}
});
consumer.on('connect', () => {
logger.info(`Kafka Consumer connected`, {
groupId: kafkaConfig.groupId,
clientId: clientId
});
});
consumer.on('rebalancing', () => {
logger.info(`Kafka Consumer rebalancing`, {
groupId: kafkaConfig.groupId,
clientId: clientId
});
tracker.clear();
pendingCommits.clear();
if (commitTimer) {
clearTimeout(commitTimer);
commitTimer = null;
}
});
consumer.on('rebalanced', () => {
logger.info('Kafka Consumer rebalanced', { clientId, groupId: kafkaConfig.groupId });
});
consumer.on('error', (err) => {
logger.error('Kafka Consumer Error', { error: err.message });
});
consumer.on('offsetOutOfRange', (err) => {
logger.warn('Offset out of range', { error: err.message, topic: err.topic, partition: err.partition });
});
consumer.on('offsetOutOfRange', (error) => {
logger.warn(`Kafka Consumer offset out of range`, {
error: error?.message,
groupId: kafkaConfig.groupId,
clientId: clientId
});
});
consumer.on('close', () => {
if (commitTimer) {
clearTimeout(commitTimer);
commitTimer = null;
}
flushCommits();
logger.warn(`Kafka Consumer closed`, {
groupId: kafkaConfig.groupId,
clientId: clientId
});
});
return consumer;
};
export const createKafkaConsumers = ({ kafkaConfig, onMessage, onError }) => {
const instances = Number.isFinite(kafkaConfig.consumerInstances) ? kafkaConfig.consumerInstances : 1;
const count = Math.max(1, instances);
return Array.from({ length: count }, (_, idx) =>
createOneConsumer({ kafkaConfig, onMessage, onError, instanceIndex: idx })
);
};
export const createKafkaConsumer = ({ kafkaConfig, onMessage, onError }) =>
createKafkaConsumers({ kafkaConfig, onMessage, onError })[0];

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export class OffsetTracker {
constructor() {
// Map<topic-partition, { nextCommitOffset: number|null, done: Set<number> }>
this.partitions = new Map();
}
// Called when a message is received (before processing)
add(topic, partition, offset) {
const key = `${topic}-${partition}`;
if (!this.partitions.has(key)) {
this.partitions.set(key, { nextCommitOffset: null, done: new Set() });
}
const state = this.partitions.get(key);
const numericOffset = Number(offset);
if (!Number.isFinite(numericOffset)) return;
if (state.nextCommitOffset === null) {
state.nextCommitOffset = numericOffset;
} else if (numericOffset < state.nextCommitOffset) {
state.nextCommitOffset = numericOffset;
}
}
// Called when a message is successfully processed
// Returns the next offset to commit (if any advancement is possible), or null
markDone(topic, partition, offset) {
const key = `${topic}-${partition}`;
const state = this.partitions.get(key);
if (!state) return null;
const numericOffset = Number(offset);
if (!Number.isFinite(numericOffset)) return null;
state.done.add(numericOffset);
if (state.nextCommitOffset === null) {
state.nextCommitOffset = numericOffset;
}
let advanced = false;
while (state.nextCommitOffset !== null && state.done.has(state.nextCommitOffset)) {
state.done.delete(state.nextCommitOffset);
state.nextCommitOffset += 1;
advanced = true;
}
if (!advanced) return null;
return state.nextCommitOffset;
}
clear() {
this.partitions.clear();
}
}

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import { kafkaPayloadSchema } from '../schema/kafkaPayload.js';
const parseKafkaPayload = (value) => {
const raw = Buffer.isBuffer(value) ? value.toString('utf8') : value;
if (typeof raw !== 'string') {
throw new Error('Invalid kafka message value');
}
return JSON.parse(raw);
};
const normalizeText = (value, maxLength) => {
if (value === undefined || value === null) {
return null;
}
const str = String(value).replace(/\u0000/g, '');
if (maxLength && str.length > maxLength) {
return str.substring(0, maxLength);
}
return str;
};
const sanitizeJsonValue = (value) => {
if (value === undefined || value === null) {
return value;
}
if (typeof value === 'string') {
return value.replace(/\u0000/g, '');
}
if (Array.isArray(value)) {
return value.map((item) => sanitizeJsonValue(item));
}
if (typeof value === 'object') {
const out = {};
for (const [k, v] of Object.entries(value)) {
out[k] = sanitizeJsonValue(v);
}
return out;
}
return value;
};
const isLikelyBase64 = (text) => {
if (!text || text.length % 4 !== 0) {
return false;
}
return /^[A-Za-z0-9+/]+={0,2}$/.test(text);
};
const normalizeInteger = (value) => {
if (value === undefined || value === null || value === '') {
return null;
}
const numeric = typeof value === 'number' ? value : Number(value);
if (!Number.isFinite(numeric)) {
return null;
}
return Math.trunc(numeric);
};
const inRangeOr = (value, min, max, fallback) => {
if (typeof value !== 'number' || Number.isNaN(value) || value < min || value > max) {
return fallback;
}
return value;
};
const normalizeTsMs = (value) => {
const numeric = normalizeInteger(value);
if (numeric === null) {
return Date.now();
}
if (numeric > 0 && numeric < 100000000000) {
return numeric * 1000;
}
return numeric;
};
const normalizeUdpRaw = (value) => {
if (value === undefined || value === null) {
return null;
}
if (typeof value === 'string') {
const text = value.replace(/\u0000/g, '');
if (isLikelyBase64(text)) {
return text;
}
return Buffer.from(text, 'utf8').toString('base64');
}
if (Buffer.isBuffer(value)) {
return value.toString('base64');
}
if (Array.isArray(value)) {
return Buffer.from(value).toString('base64');
}
return Buffer.from(String(value), 'utf8').toString('base64');
};
const normalizeExtra = (value) => {
if (value === undefined || value === null || value === '') {
return null;
}
if (typeof value === 'object') {
return sanitizeJsonValue(value);
}
if (typeof value === 'string') {
try {
const parsed = JSON.parse(value);
if (parsed && typeof parsed === 'object') {
return sanitizeJsonValue(parsed);
}
return sanitizeJsonValue({ value: parsed });
} catch {
return sanitizeJsonValue({ raw: value });
}
}
return sanitizeJsonValue({ raw: String(value) });
};
const pick = (payload, snakeKey, pascalKey) => {
if (payload[snakeKey] !== undefined) {
return payload[snakeKey];
}
if (payload[pascalKey] !== undefined) {
return payload[pascalKey];
}
return undefined;
};
export const buildRowsFromMessageValue = (value) => {
const payload = parseKafkaPayload(value);
return buildRowsFromPayload(payload);
};
export const buildRowsFromPayload = (rawPayload) => {
const normalizedInput = {
ts_ms: pick(rawPayload, 'ts_ms', 'ts_ms'),
upgrade_ts_ms: pick(rawPayload, 'upgrade_ts_ms', 'upgrade_ts_ms'),
hotel_id: pick(rawPayload, 'hotel_id', 'hotel_id'),
room_id: pick(rawPayload, 'room_id', 'room_id'),
device_id: pick(rawPayload, 'device_id', 'device_id'),
is_send: pick(rawPayload, 'is_send', 'is_send'),
udp_raw: pick(rawPayload, 'udp_raw', 'udp_raw'),
extra: pick(rawPayload, 'extra', 'extra'),
ip_type: pick(rawPayload, 'ip_type', 'ip_type'),
model_num: pick(rawPayload, 'model_num', 'model_num'),
server_ip: pick(rawPayload, 'server_ip', 'server_ip'),
ip: pick(rawPayload, 'ip', 'ip'),
subnet_mask: pick(rawPayload, 'subnet_mask', 'subnet_mask'),
gateway: pick(rawPayload, 'gateway', 'gateway'),
dns: pick(rawPayload, 'dns', 'dns'),
app_version: pick(rawPayload, 'app_version', 'app_version'),
rcu_time: pick(rawPayload, 'rcu_time', 'rcu_time'),
launcher_version: pick(rawPayload, 'launcher_version', 'launcher_version'),
mac: pick(rawPayload, 'mac', 'mac'),
room_type_id: pick(rawPayload, 'room_type_id', 'room_type_id'),
config_version: pick(rawPayload, 'config_version', 'config_version'),
room_status: pick(rawPayload, 'room_status', 'room_status'),
season: pick(rawPayload, 'season', 'season'),
sys_lock_status: pick(rawPayload, 'sys_lock_status', 'sys_lock_status'),
authorization_time: pick(rawPayload, 'authorization_time', 'authorization_time'),
authorization_days: pick(rawPayload, 'authorization_days', 'authorization_days'),
room_num_remark: pick(rawPayload, 'room_num_remark', 'room_num_remark'),
room_type_remark: pick(rawPayload, 'room_type_remark', 'room_type_remark'),
room_remark: pick(rawPayload, 'room_remark', 'room_remark'),
mcu_name: pick(rawPayload, 'mcu_name', 'mcu_name'),
central_control_name: pick(rawPayload, 'central_control_name', 'central_control_name'),
configure_hotel_name: pick(rawPayload, 'configure_hotel_name', 'configure_hotel_name'),
configure_room_type_name: pick(rawPayload, 'configure_room_type_name', 'configure_room_type_name')
};
const payload = kafkaPayloadSchema.parse(normalizedInput);
const tsMs = normalizeTsMs(payload.ts_ms);
const hotelId = inRangeOr(normalizeInteger(payload.hotel_id), -32768, 32767, 0);
const roomId = normalizeText(payload.room_id, 50) || '';
const registerRow = {
ts_ms: tsMs,
hotel_id: hotelId,
room_id: roomId,
device_id: normalizeText(payload.device_id, 64),
write_ts_ms: Date.now(),
is_send: inRangeOr(normalizeInteger(payload.is_send), -32768, 32767, 0),
udp_raw: normalizeUdpRaw(payload.udp_raw),
extra: normalizeExtra(payload.extra),
ip_type: inRangeOr(normalizeInteger(payload.ip_type), -32768, 32767, null),
model_num: normalizeText(payload.model_num, 32),
server_ip: normalizeText(payload.server_ip, 21),
ip: normalizeText(payload.ip, 21),
subnet_mask: normalizeText(payload.subnet_mask, 15),
gateway: normalizeText(payload.gateway, 15),
dns: normalizeText(payload.dns, 15),
app_version: normalizeText(payload.app_version, 64),
rcu_time: normalizeText(payload.rcu_time, 25),
launcher_version: normalizeText(payload.launcher_version, 64),
mac: normalizeText(payload.mac, 17),
room_type_id: normalizeInteger(payload.room_type_id),
config_version: normalizeText(payload.config_version, 32),
room_status: inRangeOr(normalizeInteger(payload.room_status), -2147483648, 2147483647, null),
season: inRangeOr(normalizeInteger(payload.season), -2147483648, 2147483647, null),
sys_lock_status: inRangeOr(normalizeInteger(payload.sys_lock_status), -2147483648, 2147483647, null),
authorization_time: normalizeText(payload.authorization_time, 10),
authorization_days: normalizeText(payload.authorization_days, 10),
room_num_remark: normalizeText(payload.room_num_remark, 255),
room_type_remark: normalizeText(payload.room_type_remark, 64),
room_remark: normalizeText(payload.room_remark, 64),
mcu_name: normalizeText(payload.mcu_name, 255),
central_control_name: normalizeText(payload.central_control_name, 255),
configure_hotel_name: normalizeText(payload.configure_hotel_name, 255),
configure_room_type_name: normalizeText(payload.configure_room_type_name, 255)
};
const roomStatusUpdateRow = {
hotel_id: hotelId,
room_id: roomId,
app_version: registerRow.app_version,
launcher_version: registerRow.launcher_version,
config_version: registerRow.config_version,
upgrade_ts_ms: normalizeTsMs(payload.upgrade_ts_ms),
register_ts_ms: tsMs
};
return {
registerRows: [registerRow],
roomStatusRows: [roomStatusUpdateRow]
};
};
export const parseMessageToRows = (message) => {
const rawValue = message.value.toString();
// logger.info('Processing message', { offset: message.offset, rawValuePreview: rawValue.substring(0, 100) });
let payload;
try {
payload = JSON.parse(rawValue);
} catch (e) {
const error = new Error(`JSON Parse Error: ${e.message}`);
error.type = 'PARSE_ERROR';
throw error;
}
// logger.info('Payload parsed', { payload });
const validationResult = kafkaPayloadSchema.safeParse(payload);
if (!validationResult.success) {
const error = new Error(`Schema Validation Failed: ${JSON.stringify(validationResult.error.errors)}`);
error.type = 'VALIDATION_ERROR';
throw error;
}
return buildRowsFromPayload(payload);
};
export const processKafkaMessage = async ({ message, dbManager, config }) => {
let rows;
try {
rows = parseMessageToRows(message);
} catch (error) {
throw error;
}
try {
await dbManager.insertRegisterRows({ schema: config.db.schema, table: config.db.table, rows: rows.registerRows });
await dbManager.updateRoomStatusRows({
schema: config.db.roomStatusSchema,
table: config.db.roomStatusTable,
rows: rows.roomStatusRows
});
} catch (error) {
error.type = 'DB_ERROR';
const sample = rows?.registerRows?.[0];
error.dbContext = {
rowsLength: rows?.registerRows?.length || 0,
sampleRow: sample
? {
ts_ms: sample.ts_ms,
hotel_id: sample.hotel_id,
device_id: sample.device_id,
room_id: sample.room_id
}
: null
};
throw error;
}
return rows.registerRows.length;
};

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const normalizeHex = (hex) => {
if (typeof hex !== 'string') {
return '';
}
let cleaned = hex.trim().replace(/^0x/i, '').replace(/\s+/g, '');
if (cleaned.length % 2 === 1) {
cleaned = `0${cleaned}`;
}
return cleaned;
};
const toHex = (value) => `0x${value.toString(16).padStart(2, '0')}`;
const readUInt16 = (buffer, offset) => buffer.readUInt16BE(offset);
export const parse0x36 = (udpRaw) => {
const cleaned = normalizeHex(udpRaw);
const buffer = cleaned ? Buffer.from(cleaned, 'hex') : Buffer.alloc(0);
const sysLockStatus = buffer.length > 0 ? buffer[0] : null;
const reportCount = buffer.length > 7 ? buffer[7] : null;
let offset = 8;
const devices = [];
for (let i = 0; i < (reportCount || 0) && offset + 5 < buffer.length; i += 1) {
devices.push({
dev_type: buffer[offset],
dev_addr: buffer[offset + 1],
dev_loop: readUInt16(buffer, offset + 2),
dev_data: readUInt16(buffer, offset + 4)
});
offset += 6;
}
const faultCount = offset < buffer.length ? buffer[offset] : null;
offset += 1;
const faults = [];
for (let i = 0; i < (faultCount || 0) && offset + 5 < buffer.length; i += 1) {
faults.push({
fault_dev_type: buffer[offset],
fault_dev_addr: buffer[offset + 1],
fault_dev_loop: readUInt16(buffer, offset + 2),
error_type: buffer[offset + 4],
error_data: buffer[offset + 5]
});
offset += 6;
}
return {
sysLockStatus,
reportCount,
faultCount,
devices,
faults
};
};
export const parse0x0fDownlink = (udpRaw) => {
const cleaned = normalizeHex(udpRaw);
const buffer = cleaned ? Buffer.from(cleaned, 'hex') : Buffer.alloc(0);
const controlCount = buffer.length > 0 ? buffer[0] : null;
let offset = 1;
const controlParams = [];
for (let i = 0; i < (controlCount || 0) && offset + 5 < buffer.length; i += 1) {
const typeValue = readUInt16(buffer, offset + 4);
controlParams.push({
dev_type: buffer[offset],
dev_addr: buffer[offset + 1],
loop: readUInt16(buffer, offset + 2),
type: typeValue,
type_l: buffer[offset + 4],
type_h: buffer[offset + 5]
});
offset += 6;
}
return {
controlCount,
controlParams
};
};
export const parse0x0fAck = (udpRaw) => {
const cleaned = normalizeHex(udpRaw);
const buffer = cleaned ? Buffer.from(cleaned, 'hex') : Buffer.alloc(0);
const ackCode = buffer.length > 1 ? toHex(buffer[1]) : null;
return { ackCode };
};

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import { logger } from '../utils/logger.js';
export const buildErrorQueueKey = (projectName) => `${projectName}_error_queue`;
export const enqueueError = async (client, queueKey, payload) => {
try {
await client.rPush(queueKey, JSON.stringify(payload));
} catch (error) {
logger.error('Redis enqueue error failed', { error: error?.message });
throw error;
}
};
export const startErrorRetryWorker = async ({
client,
queueKey,
handler,
redisIntegration,
maxAttempts = 5
}) => {
while (true) {
const result = await client.blPop(queueKey, 0);
const raw = result?.element;
if (!raw) {
continue;
}
let item;
try {
item = JSON.parse(raw);
} catch (error) {
logger.error('Invalid error payload', { error: error?.message });
await redisIntegration.error('Invalid error payload', { module: 'redis', stack: error?.message });
continue;
}
const attempts = item.attempts || 0;
try {
await handler(item);
} catch (error) {
logger.error('Retry handler failed', { error: error?.message, stack: error?.stack });
const nextPayload = {
...item,
attempts: attempts + 1,
lastError: error?.message,
lastAttemptAt: Date.now()
};
if (nextPayload.attempts >= maxAttempts) {
await redisIntegration.error('Retry attempts exceeded', { module: 'retry', stack: JSON.stringify(nextPayload) });
} else {
await enqueueError(client, queueKey, nextPayload);
}
}
}
};

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import { createClient } from 'redis';
export const createRedisClient = async (config) => {
const client = createClient({
socket: {
host: config.host,
port: config.port
},
password: config.password,
database: config.db
});
await client.connect();
return client;
};

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export class RedisIntegration {
constructor(client, projectName, apiBaseUrl) {
this.client = client;
this.projectName = projectName;
this.apiBaseUrl = apiBaseUrl;
this.heartbeatKey = '项目心跳';
this.logKey = `${projectName}_项目控制台`;
}
async info(message, context) {
const payload = {
timestamp: new Date().toISOString(),
level: 'info',
message,
metadata: context || undefined
};
await this.client.rPush(this.logKey, JSON.stringify(payload));
}
async error(message, context) {
const payload = {
timestamp: new Date().toISOString(),
level: 'error',
message,
metadata: context || undefined
};
await this.client.rPush(this.logKey, JSON.stringify(payload));
}
startHeartbeat() {
setInterval(() => {
const payload = {
projectName: this.projectName,
apiBaseUrl: this.apiBaseUrl,
lastActiveAt: Date.now()
};
this.client.rPush(this.heartbeatKey, JSON.stringify(payload));
}, 3000);
}
}

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import { z } from 'zod';
const toNumber = (value) => {
if (value === undefined || value === null || value === '') {
return null;
}
if (typeof value === 'number') {
return value;
}
const parsed = Number(value);
return Number.isFinite(parsed) ? parsed : null;
};
const toStringAllowEmpty = (value) => {
if (value === undefined || value === null) {
return value;
}
return String(value);
};
export const kafkaPayloadSchema = z.object({
ts_ms: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
upgrade_ts_ms: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
hotel_id: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
room_id: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
device_id: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
is_send: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
udp_raw: z.any().optional().nullable(),
extra: z.any().optional().nullable(),
ip_type: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
model_num: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
server_ip: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
ip: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
subnet_mask: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
gateway: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
dns: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
app_version: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
rcu_time: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
launcher_version: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
mac: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
room_type_id: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
config_version: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
room_status: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
season: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
sys_lock_status: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
authorization_time: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
authorization_days: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
room_num_remark: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
room_type_remark: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
room_remark: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
mcu_name: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
central_control_name: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
configure_hotel_name: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
configure_room_type_name: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable()
});

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const format = (level, message, context) => {
const payload = {
level,
message,
timestamp: Date.now(),
...(context ? { context } : {})
};
return JSON.stringify(payload);
};
export const logger = {
info(message, context) {
process.stdout.write(`${format('info', message, context)}\n`);
},
error(message, context) {
process.stderr.write(`${format('error', message, context)}\n`);
},
warn(message, context) {
process.stderr.write(`${format('warn', message, context)}\n`);
}
};

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export class MetricCollector {
constructor() {
this.reset();
}
reset() {
this.metrics = {
kafka_pulled: 0,
parse_error: 0,
db_inserted: 0,
db_failed: 0,
db_insert_count: 0,
db_insert_ms_sum: 0,
batch_flush_count: 0,
batch_flush_ms_sum: 0
};
this.keyed = {};
}
increment(metric, count = 1) {
if (this.metrics.hasOwnProperty(metric)) {
this.metrics[metric] += count;
}
}
incrementKeyed(metric, key, count = 1) {
if (!key) return;
if (!this.keyed[metric]) {
this.keyed[metric] = {};
}
if (!Object.prototype.hasOwnProperty.call(this.keyed[metric], key)) {
this.keyed[metric][key] = 0;
}
this.keyed[metric][key] += count;
}
getAndReset() {
const current = { ...this.metrics };
const keyed = JSON.parse(JSON.stringify(this.keyed));
this.reset();
return { ...current, keyed };
}
}

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import { randomUUID } from 'crypto';
export const createGuid = () => randomUUID().replace(/-/g, '');

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import { describe, it, expect } from 'vitest';
import { buildRowsFromPayload } from '../src/processor/index.js';
describe('Register Processor', () => {
const basePayload = {
ts_ms: 1770000235000,
upgrade_ts_ms: 1770001235000,
hotel_id: 1085,
room_id: '8888',
device_id: '091123987456',
is_send: 0,
app_version: '2.1.0',
launcher_version: '1.0.0',
config_version: 'cfg-v8'
};
it('should map payload into register and room-status rows', () => {
const rows = buildRowsFromPayload(basePayload);
expect(rows.registerRows).toHaveLength(1);
expect(rows.roomStatusRows).toHaveLength(1);
expect(rows.registerRows[0].hotel_id).toBe(1085);
expect(rows.registerRows[0].room_id).toBe('8888');
expect(rows.registerRows[0].device_id).toBe('091123987456');
expect(rows.roomStatusRows[0].register_ts_ms).toBe(1770000235000);
expect(rows.roomStatusRows[0].upgrade_ts_ms).toBe(1770001235000);
});
it('should force hotel_id to 0 when out of int2 range', () => {
const rows = buildRowsFromPayload({ ...basePayload, hotel_id: 60000 });
expect(rows.registerRows[0].hotel_id).toBe(0);
expect(rows.roomStatusRows[0].hotel_id).toBe(0);
});
it('should convert udp_raw byte array to base64 text', () => {
const rows = buildRowsFromPayload({
...basePayload,
udp_raw: [1, 2, 3, 4]
});
expect(rows.registerRows[0].udp_raw).toBe('AQIDBA==');
});
it('should strip NUL bytes from text fields', () => {
const rows = buildRowsFromPayload({
...basePayload,
app_version: 'v1\u0000\u0000.2',
room_num_remark: 'A\u0000B'
});
expect(rows.registerRows[0].app_version).toBe('v1.2');
expect(rows.registerRows[0].room_num_remark).toBe('AB');
});
});

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[probe-db] event_rows=1
[probe-db] event.ts_ms=1773480366464 room_id=515 app_version=v1.2
[probe-db] event.udp_raw=YWJjZGVm
[probe-db] room_status_rows=1
[probe-db] room_status.room_id=515 register_ts_ms=1773480366464 upgrade_ts_ms=1773480367698

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import { defineConfig } from 'vite';
export default defineConfig({
build: {
ssr: 'src/index.js',
outDir: 'dist',
target: 'node18',
rollupOptions: {
external: ['dotenv', 'kafka-node', 'pg', 'redis']
}
}
});

91
docs/project.md Normal file
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0xB1命令
## 模式
- rcu_info
### 数据表
- rcu_info_events
#### 基础字段
| 字段名 | 类型 | 备注 |
| --- | --- | --- |
| guid | int8 | 8位整数由数据库自己生成 |
| ts_ms | int8 | 事件发生的时间戳(毫秒级 Unix 时间),作为分区键和主键的一部分。 |
| hotel_id | int2 | 酒店Codesmallint 类型,范围 [0, 32767],标识所属酒店。 |
| room_id | varchar(50) | 房间号,字符串类型,长度 150标识具体房间。 |
| device_id | varchar(64) | 设备唯一标识符最长64字符以CRICS拼接字段为准。 |
| write_ts_ms | int8 | 写入数据库的时间戳(毫秒级 Unix 时间) |
#### 信息字段
| 字段名 | 类型 | 备注 |
| --- | --- | --- |
| is_send | int2 | 1:下发0:上报 默认0 |
| udp_raw | text | UDP原始数据(使用Base64编码) |
| extra | jsonb | 扩展字段(JSON格式) |
#### 数据字段
| 字段名 | 类型 | 备注 |
| --- | --- | --- |
| ip_type | int2 | IP类型 |
| model_num | varchar(32) | 机型编号 |
| server_ip | varchar(21) | 服务器IP |
| ip | varchar(21) | IP:Port |
| subnet_mask | varchar(15) | 子网掩码 |
| gateway | varchar(15) | 网关 |
| dns | varchar(15) | DNS |
| app_version | varchar(64) | 软件版本号 |
| rcu_time | varchar(25) | RCU时间 |
| launcher_version | varchar(64) | Launcher版本号 |
| mac | varchar(17) | MAC地址 |
| room_type_id | int8 | 房间类型id |
| config_version | varchar(32) | 配置版本号 |
| room_status | int4 | 房间状态 |
| season | int4 | 季节 |
| sys_lock_status | int4 | 系统锁定状态 |
| authorization_time | varchar(10) | 授权时间 |
| authorization_days | varchar(10) | 授权天数 |
| room_num_remark | varchar(255) | 房号备注 |
| room_type_remark | varchar(64) | 房型备注 |
| room_remark | varchar(64) | 房间备注 |
| mcu_name | varchar(255) | MCU名称 |
| central_control_name | varchar(255) | 中控机型名称 |
| configure_hotel_name | varchar(255) | 配置数据酒店名称 |
| configure_room_type_name | varchar(255) | 配置数据房型别名 |
#### 生产服务器的推送的数据用于kafka的C#类:
public class RegisterInfo
{
public long ts_ms { get; set; }
public long upgrade_ts_ms { get; set; }
public long hotel_id { get; set; }
public string room_id { get; set; }
public string device_id { get; set; }
public ushort is_send { get; set; }
public byte[] udp_raw { get; set; }
public string extra { get; set; }
public int ip_type { get; set; }
public string model_num { get; set; }
public string server_ip { get; set; }
public string ip { get; set; }
public string subnet_mask { get; set; }
public string gateway { get; set; }
public string dns { get; set; }
public string app_version { get; set; }
public string rcu_time { get; set; }
public string launcher_version { get; set; }
public string mac { get; set; }
public int room_type_id { get; set; }
public string config_version { get; set; }
public int room_status { get; set; }
public string season { get; set; }
public int sys_lock_status { get; set; }
public long authorization_time { get; set; }
public long authorization_days { get; set; }
public string room_num_remark { get; set; }
public string room_type_remark { get; set; }
public string room_remark { get; set; }
public string mcu_name { get; set; }
public string central_control_name { get; set; }
public string configure_hotel_name { get; set; }
public string configure_room_type_name { get; set; }
}

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/*
Navicat Premium Dump SQL
Source Server : FnOS 80
Source Server Type : PostgreSQL
Source Server Version : 150017 (150017)
Source Host : 10.8.8.80:5434
Source Catalog : log_platform
Source Schema : rcu_info
Target Server Type : PostgreSQL
Target Server Version : 150017 (150017)
File Encoding : 65001
Date: 12/03/2026 17:36:43
*/
-- ----------------------------
-- Table structure for rcu_info_events_g5
-- ----------------------------
DROP TABLE IF EXISTS "rcu_info"."rcu_info_events_g5";
CREATE TABLE "rcu_info"."rcu_info_events_g5" (
"guid" int8 NOT NULL DEFAULT nextval('"rcu_info".rcu_info_events_g5_guid_seq'::regclass),
"ts_ms" int8 NOT NULL,
"hotel_id" int2 NOT NULL,
"room_id" varchar(50) COLLATE "pg_catalog"."default" NOT NULL,
"device_id" varchar(64) COLLATE "pg_catalog"."default",
"write_ts_ms" int8 DEFAULT ((EXTRACT(epoch FROM now()) * (1000)::numeric))::bigint,
"is_send" int2 DEFAULT 0,
"udp_raw" text COLLATE "pg_catalog"."default",
"extra" jsonb,
"ip_type" int2,
"model_num" varchar(32) COLLATE "pg_catalog"."default",
"server_ip" varchar(21) COLLATE "pg_catalog"."default",
"ip" varchar(21) COLLATE "pg_catalog"."default",
"subnet_mask" varchar(15) COLLATE "pg_catalog"."default",
"gateway" varchar(15) COLLATE "pg_catalog"."default",
"dns" varchar(15) COLLATE "pg_catalog"."default",
"app_version" varchar(64) COLLATE "pg_catalog"."default",
"rcu_time" varchar(25) COLLATE "pg_catalog"."default",
"launcher_version" varchar(64) COLLATE "pg_catalog"."default",
"mac" varchar(17) COLLATE "pg_catalog"."default",
"room_type_id" int8,
"config_version" varchar(32) COLLATE "pg_catalog"."default",
"room_status" int4,
"season" int4,
"sys_lock_status" int4,
"authorization_time" varchar(10) COLLATE "pg_catalog"."default",
"authorization_days" varchar(10) COLLATE "pg_catalog"."default",
"room_num_remark" varchar(255) COLLATE "pg_catalog"."default",
"room_type_remark" varchar(64) COLLATE "pg_catalog"."default",
"room_remark" varchar(64) COLLATE "pg_catalog"."default",
"mcu_name" varchar(255) COLLATE "pg_catalog"."default",
"central_control_name" varchar(255) COLLATE "pg_catalog"."default",
"configure_hotel_name" varchar(255) COLLATE "pg_catalog"."default",
"configure_room_type_name" varchar(255) COLLATE "pg_catalog"."default"
)
;
-- ----------------------------
-- Indexes structure for table rcu_info_events_g5
-- ----------------------------
CREATE INDEX "idx_rcu_info_g5_app_ver" ON "rcu_info"."rcu_info_events_g5" USING btree (
"app_version" COLLATE "pg_catalog"."default" "pg_catalog"."text_ops" ASC NULLS LAST
) WHERE app_version IS NOT NULL;
CREATE INDEX "idx_rcu_info_g5_central_ctrl_name" ON "rcu_info"."rcu_info_events_g5" USING btree (
"central_control_name" COLLATE "pg_catalog"."default" "pg_catalog"."text_ops" ASC NULLS LAST
) WHERE central_control_name IS NOT NULL;
CREATE INDEX "idx_rcu_info_g5_device_id" ON "rcu_info"."rcu_info_events_g5" USING btree (
"device_id" COLLATE "pg_catalog"."default" "pg_catalog"."text_ops" ASC NULLS LAST
) WHERE device_id IS NOT NULL;
CREATE INDEX "idx_rcu_info_g5_is_send" ON "rcu_info"."rcu_info_events_g5" USING btree (
"is_send" "pg_catalog"."int2_ops" ASC NULLS LAST
);
CREATE INDEX "idx_rcu_info_g5_launcher_ver" ON "rcu_info"."rcu_info_events_g5" USING btree (
"launcher_version" COLLATE "pg_catalog"."default" "pg_catalog"."text_ops" ASC NULLS LAST
) WHERE launcher_version IS NOT NULL;
CREATE INDEX "idx_rcu_info_g5_mac" ON "rcu_info"."rcu_info_events_g5" USING btree (
"mac" COLLATE "pg_catalog"."default" "pg_catalog"."text_ops" ASC NULLS LAST
) WHERE mac IS NOT NULL;
CREATE INDEX "idx_rcu_info_g5_sys_lock" ON "rcu_info"."rcu_info_events_g5" USING btree (
"sys_lock_status" "pg_catalog"."int4_ops" ASC NULLS LAST
);
CREATE INDEX "rcu_info_events_g5_ts_ms_idx" ON "rcu_info"."rcu_info_events_g5" USING btree (
"ts_ms" "pg_catalog"."int8_ops" DESC NULLS FIRST
);
-- ----------------------------
-- Primary Key structure for table rcu_info_events_g5
-- ----------------------------
ALTER TABLE "rcu_info"."rcu_info_events_g5" ADD CONSTRAINT "rcu_info_events_g5_pkey" PRIMARY KEY ("hotel_id", "room_id", "ts_ms", "guid");

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/*
Navicat Premium Dump SQL
Source Server : FnOS 80
Source Server Type : PostgreSQL
Source Server Version : 150017 (150017)
Source Host : 10.8.8.80:5434
Source Catalog : log_platform
Source Schema : room_status
Target Server Type : PostgreSQL
Target Server Version : 150017 (150017)
File Encoding : 65001
Date: 14/03/2026 09:58:21
*/
-- ----------------------------
-- Table structure for room_status_moment_g5
-- ----------------------------
DROP TABLE IF EXISTS "room_status"."room_status_moment_g5";
CREATE TABLE "room_status"."room_status_moment_g5" (
"hotel_id" int2 NOT NULL,
"room_id" text COLLATE "pg_catalog"."default" NOT NULL,
"device_id" text COLLATE "pg_catalog"."default" NOT NULL,
"ts_ms" int8 NOT NULL DEFAULT ((EXTRACT(epoch FROM clock_timestamp()) * (1000)::numeric))::bigint,
"sys_lock_status" int2,
"online_status" int2,
"launcher_version" text COLLATE "pg_catalog"."default",
"app_version" text COLLATE "pg_catalog"."default",
"config_version" text COLLATE "pg_catalog"."default",
"register_ts_ms" int8,
"upgrade_ts_ms" int8,
"config_ts_ms" int8,
"ip" text COLLATE "pg_catalog"."default",
"pms_status" int2,
"power_state" int2,
"cardless_state" int2,
"service_mask" int8,
"insert_card" int2,
"bright_g" int2,
"agreement_ver" text COLLATE "pg_catalog"."default",
"air_address" _text COLLATE "pg_catalog"."default",
"air_state" _int2,
"air_model" _int2,
"air_speed" _int2,
"air_set_temp" _int2,
"air_now_temp" _int2,
"air_solenoid_valve" _int2,
"elec_address" _text COLLATE "pg_catalog"."default",
"elec_voltage" _float8,
"elec_ampere" _float8,
"elec_power" _float8,
"elec_phase" _float8,
"elec_energy" _float8,
"elec_sum_energy" _float8,
"carbon_state" int2,
"dev_loops" jsonb,
"energy_carbon_sum" float8,
"energy_nocard_sum" float8,
"external_device" jsonb DEFAULT '{}'::jsonb,
"faulty_device_count" jsonb DEFAULT '{}'::jsonb
)
WITH (fillfactor=90)
TABLESPACE "ts_hot"
;
-- ----------------------------
-- Indexes structure for table room_status_moment_g5
-- ----------------------------
CREATE INDEX "idx_rsm_g5_dashboard_query" ON "room_status"."room_status_moment_g5" USING btree (
"hotel_id" "pg_catalog"."int2_ops" ASC NULLS LAST,
"online_status" "pg_catalog"."int2_ops" ASC NULLS LAST,
"power_state" "pg_catalog"."int2_ops" ASC NULLS LAST
);
-- ----------------------------
-- Triggers structure for table room_status_moment_g5
-- ----------------------------
CREATE TRIGGER "trg_update_rsm_ts_ms" BEFORE UPDATE ON "room_status"."room_status_moment_g5"
FOR EACH ROW
EXECUTE PROCEDURE "room_status"."update_ts_ms_g5"();
CREATE TRIGGER "trigger_room_status_change" AFTER UPDATE ON "room_status"."room_status_moment_g5"
FOR EACH ROW
EXECUTE PROCEDURE "room_status"."handle_room_status_change"();
-- ----------------------------
-- Primary Key structure for table room_status_moment_g5
-- ----------------------------
ALTER TABLE "room_status"."room_status_moment_g5" ADD CONSTRAINT "room_status_moment_g5_pkey" PRIMARY KEY ("hotel_id", "room_id");

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KAFKA_BROKERS=kafka.blv-oa.com:9092
KAFKA_CLIENT_ID=bls-onoffline-producer
KAFKA_GROUP_ID=bls-onoffline-consumer
KAFKA_TOPICS=blwlog4Nodejs-rcu-onoffline-topic-0
KAFKA_AUTO_COMMIT=false
KAFKA_AUTO_COMMIT_INTERVAL_MS=5000
KAFKA_SASL_ENABLED=true
KAFKA_SASL_MECHANISM=plain
KAFKA_SASL_USERNAME=blwmomo
KAFKA_SASL_PASSWORD=blwmomo
KAFKA_SSL_ENABLED=false
KAFKA_CONSUMER_INSTANCES=3
KAFKA_MAX_IN_FLIGHT=5000
KAFKA_BATCH_SIZE=1000
KAFKA_BATCH_TIMEOUT_MS=20
KAFKA_COMMIT_INTERVAL_MS=200
KAFKA_COMMIT_ON_ATTEMPT=true
KAFKA_FETCH_MAX_BYTES=10485760
KAFKA_FETCH_MAX_WAIT_MS=100
KAFKA_FETCH_MIN_BYTES=1
#POSTGRES_HOST=10.8.8.109
#POSTGRES_PORT=5433
#POSTGRES_DATABASE=log_platform
#POSTGRES_USER=log_admin
#POSTGRES_PASSWORD=YourActualStrongPasswordForPostgres!
#POSTGRES_MAX_CONNECTIONS=6
#POSTGRES_IDLE_TIMEOUT_MS=30000
#DB_SCHEMA=onoffline
#DB_TABLE=onoffline_record
# =========================
# PostgreSQL 配置 G5库专用
# =========================
POSTGRES_HOST_G5=10.8.8.80
POSTGRES_PORT_G5=5434
POSTGRES_DATABASE_G5=log_platform
POSTGRES_USER_G5=log_admin
POSTGRES_PASSWORD_G5=H3IkLUt8K!x
POSTGRES_IDLE_TIMEOUT_MS_G5=30000
PORT=3001
LOG_LEVEL=info
# Redis connection
REDIS_HOST=10.8.8.109
REDIS_PORT=6379
REDIS_PASSWORD=
REDIS_DB=15
REDIS_CONNECT_TIMEOUT_MS=5000
REDIS_PROJECT_NAME=bls-onoffline

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# Server Configuration
PORT=3001
NODE_ENV=development
# Kafka Configuration
KAFKA_BROKERS=localhost:9092
KAFKA_TOPIC=blwlog4Nodejs-rcu-onoffline-topic
KAFKA_GROUP_ID=bls-onoffline-group
KAFKA_CLIENT_ID=bls-onoffline-client
KAFKA_CONSUMER_INSTANCES=1
# KAFKA_SASL_USERNAME=
# KAFKA_SASL_PASSWORD=
# KAFKA_SASL_MECHANISM=plain
# Database Configuration (PostgreSQL)
DB_HOST=localhost
DB_PORT=5432
DB_USER=postgres
DB_PASSWORD=password
DB_DATABASE=log_platform
DB_SCHEMA=public
DB_TABLE=onoffline_record
DB_MAX_CONNECTIONS=10
# Redis Configuration
REDIS_HOST=localhost
REDIS_PORT=6379
REDIS_PASSWORD=
REDIS_DB=0
REDIS_PROJECT_NAME=bls-onoffline
REDIS_API_BASE_URL=http://localhost:3001

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<!-- OPENSPEC:START -->
# OpenSpec Instructions
These instructions are for AI assistants working in this project.
Always open `@/openspec/AGENTS.md` when the request:
- Mentions planning or proposals (words like proposal, spec, change, plan)
- Introduces new capabilities, breaking changes, architecture shifts, or big performance/security work
- Sounds ambiguous and you need the authoritative spec before coding
Use `@/openspec/AGENTS.md` to learn:
- How to create and apply change proposals
- Spec format and conventions
- Project structure and guidelines
Keep this managed block so 'openspec update' can refresh the instructions.
<!-- OPENSPEC:END -->

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bls-onoffline-backend
安装与运行
- Node.js 22+
- npm install
- npm run dev
构建与测试
- npm run build
- npm run test
- npm run lint
规范校验
- npm run spec:lint
- npm run spec:validate
环境变量
- 复制 .env.example 为 .env 并按实际环境配置
数据库初始化
- 运行服务前请先通过根目录 SQL_Script 下脚本完成建库与分区维护
- `../SQL_Script/create_database.sql`建库psql
- `../SQL_Script/create_schema_and_parent_table.sql`:建 schema 与主分区表
- `../SQL_Script/create_partition_for_day.sql`:按日建分区模板
- `../SQL_Script/generate_init_sql.js`:生成建库+建表 SQL
- `../SQL_Script/generate_partition_sql.js`:生成单日分区 SQL
- `../SQL_Script/generate_partition_range_sql.js`:生成批量分区 SQL
规范说明
- 规格文件位于 spec/onoffline-spec.md

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module.exports = {
apps: [{
name: 'bls-onoffline',
script: 'dist/index.js',
instances: 1,
exec_mode: 'fork',
autorestart: true,
watch: false,
max_memory_restart: '1G',
env_file: '.env',
env: {
NODE_ENV: 'production',
PORT: 3001
},
error_file: './logs/error.log',
out_file: './logs/out.log',
log_date_format: 'YYYY-MM-DD HH:mm:ss Z',
merge_logs: true,
kill_timeout: 5000,
time: true
}]
};

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# OpenSpec Instructions
Instructions for AI coding assistants using OpenSpec for spec-driven development.
## TL;DR Quick Checklist
- Search existing work: `openspec spec list --long`, `openspec list` (use `rg` only for full-text search)
- Decide scope: new capability vs modify existing capability
- Pick a unique `change-id`: kebab-case, verb-led (`add-`, `update-`, `remove-`, `refactor-`)
- Scaffold: `proposal.md`, `tasks.md`, `design.md` (only if needed), and delta specs per affected capability
- Write deltas: use `## ADDED|MODIFIED|REMOVED|RENAMED Requirements`; include at least one `#### Scenario:` per requirement
- Validate: `openspec validate [change-id] --strict` and fix issues
- Request approval: Do not start implementation until proposal is approved
## Three-Stage Workflow
### Stage 1: Creating Changes
Create proposal when you need to:
- Add features or functionality
- Make breaking changes (API, schema)
- Change architecture or patterns
- Optimize performance (changes behavior)
- Update security patterns
Triggers (examples):
- "Help me create a change proposal"
- "Help me plan a change"
- "Help me create a proposal"
- "I want to create a spec proposal"
- "I want to create a spec"
Loose matching guidance:
- Contains one of: `proposal`, `change`, `spec`
- With one of: `create`, `plan`, `make`, `start`, `help`
Skip proposal for:
- Bug fixes (restore intended behavior)
- Typos, formatting, comments
- Dependency updates (non-breaking)
- Configuration changes
- Tests for existing behavior
**Workflow**
1. Review `openspec/project.md`, `openspec list`, and `openspec list --specs` to understand current context.
2. Choose a unique verb-led `change-id` and scaffold `proposal.md`, `tasks.md`, optional `design.md`, and spec deltas under `openspec/changes/<id>/`.
3. Draft spec deltas using `## ADDED|MODIFIED|REMOVED Requirements` with at least one `#### Scenario:` per requirement.
4. Run `openspec validate <id> --strict` and resolve any issues before sharing the proposal.
### Stage 2: Implementing Changes
Track these steps as TODOs and complete them one by one.
1. **Read proposal.md** - Understand what's being built
2. **Read design.md** (if exists) - Review technical decisions
3. **Read tasks.md** - Get implementation checklist
4. **Implement tasks sequentially** - Complete in order
5. **Confirm completion** - Ensure every item in `tasks.md` is finished before updating statuses
6. **Update checklist** - After all work is done, set every task to `- [x]` so the list reflects reality
7. **Approval gate** - Do not start implementation until the proposal is reviewed and approved
### Stage 3: Archiving Changes
After deployment, create separate PR to:
- Move `changes/[name]/``changes/archive/YYYY-MM-DD-[name]/`
- Update `specs/` if capabilities changed
- Use `openspec archive <change-id> --skip-specs --yes` for tooling-only changes (always pass the change ID explicitly)
- Run `openspec validate --strict` to confirm the archived change passes checks
## Before Any Task
**Context Checklist:**
- [ ] Read relevant specs in `specs/[capability]/spec.md`
- [ ] Check pending changes in `changes/` for conflicts
- [ ] Read `openspec/project.md` for conventions
- [ ] Run `openspec list` to see active changes
- [ ] Run `openspec list --specs` to see existing capabilities
**Before Creating Specs:**
- Always check if capability already exists
- Prefer modifying existing specs over creating duplicates
- Use `openspec show [spec]` to review current state
- If request is ambiguous, ask 12 clarifying questions before scaffolding
### Search Guidance
- Enumerate specs: `openspec spec list --long` (or `--json` for scripts)
- Enumerate changes: `openspec list` (or `openspec change list --json` - deprecated but available)
- Show details:
- Spec: `openspec show <spec-id> --type spec` (use `--json` for filters)
- Change: `openspec show <change-id> --json --deltas-only`
- Full-text search (use ripgrep): `rg -n "Requirement:|Scenario:" openspec/specs`
## Quick Start
### CLI Commands
```bash
# Essential commands
openspec list # List active changes
openspec list --specs # List specifications
openspec show [item] # Display change or spec
openspec validate [item] # Validate changes or specs
openspec archive <change-id> [--yes|-y] # Archive after deployment (add --yes for non-interactive runs)
# Project management
openspec init [path] # Initialize OpenSpec
openspec update [path] # Update instruction files
# Interactive mode
openspec show # Prompts for selection
openspec validate # Bulk validation mode
# Debugging
openspec show [change] --json --deltas-only
openspec validate [change] --strict
```
### Command Flags
- `--json` - Machine-readable output
- `--type change|spec` - Disambiguate items
- `--strict` - Comprehensive validation
- `--no-interactive` - Disable prompts
- `--skip-specs` - Archive without spec updates
- `--yes`/`-y` - Skip confirmation prompts (non-interactive archive)
## Directory Structure
```
openspec/
├── project.md # Project conventions
├── specs/ # Current truth - what IS built
│ └── [capability]/ # Single focused capability
│ ├── spec.md # Requirements and scenarios
│ └── design.md # Technical patterns
├── changes/ # Proposals - what SHOULD change
│ ├── [change-name]/
│ │ ├── proposal.md # Why, what, impact
│ │ ├── tasks.md # Implementation checklist
│ │ ├── design.md # Technical decisions (optional; see criteria)
│ │ └── specs/ # Delta changes
│ │ └── [capability]/
│ │ └── spec.md # ADDED/MODIFIED/REMOVED
│ └── archive/ # Completed changes
```
## Creating Change Proposals
### Decision Tree
```
New request?
├─ Bug fix restoring spec behavior? → Fix directly
├─ Typo/format/comment? → Fix directly
├─ New feature/capability? → Create proposal
├─ Breaking change? → Create proposal
├─ Architecture change? → Create proposal
└─ Unclear? → Create proposal (safer)
```
### Proposal Structure
1. **Create directory:** `changes/[change-id]/` (kebab-case, verb-led, unique)
2. **Write proposal.md:**
```markdown
# Change: [Brief description of change]
## Why
[1-2 sentences on problem/opportunity]
## What Changes
- [Bullet list of changes]
- [Mark breaking changes with **BREAKING**]
## Impact
- Affected specs: [list capabilities]
- Affected code: [key files/systems]
```
3. **Create spec deltas:** `specs/[capability]/spec.md`
```markdown
## ADDED Requirements
### Requirement: New Feature
The system SHALL provide...
#### Scenario: Success case
- **WHEN** user performs action
- **THEN** expected result
## MODIFIED Requirements
### Requirement: Existing Feature
[Complete modified requirement]
## REMOVED Requirements
### Requirement: Old Feature
**Reason**: [Why removing]
**Migration**: [How to handle]
```
If multiple capabilities are affected, create multiple delta files under `changes/[change-id]/specs/<capability>/spec.md`—one per capability.
4. **Create tasks.md:**
```markdown
## 1. Implementation
- [ ] 1.1 Create database schema
- [ ] 1.2 Implement API endpoint
- [ ] 1.3 Add frontend component
- [ ] 1.4 Write tests
```
5. **Create design.md when needed:**
Create `design.md` if any of the following apply; otherwise omit it:
- Cross-cutting change (multiple services/modules) or a new architectural pattern
- New external dependency or significant data model changes
- Security, performance, or migration complexity
- Ambiguity that benefits from technical decisions before coding
Minimal `design.md` skeleton:
```markdown
## Context
[Background, constraints, stakeholders]
## Goals / Non-Goals
- Goals: [...]
- Non-Goals: [...]
## Decisions
- Decision: [What and why]
- Alternatives considered: [Options + rationale]
## Risks / Trade-offs
- [Risk] → Mitigation
## Migration Plan
[Steps, rollback]
## Open Questions
- [...]
```
## Spec File Format
### Critical: Scenario Formatting
**CORRECT** (use #### headers):
```markdown
#### Scenario: User login success
- **WHEN** valid credentials provided
- **THEN** return JWT token
```
**WRONG** (don't use bullets or bold):
```markdown
- **Scenario: User login** ❌
**Scenario**: User login ❌
### Scenario: User login ❌
```
Every requirement MUST have at least one scenario.
### Requirement Wording
- Use SHALL/MUST for normative requirements (avoid should/may unless intentionally non-normative)
### Delta Operations
- `## ADDED Requirements` - New capabilities
- `## MODIFIED Requirements` - Changed behavior
- `## REMOVED Requirements` - Deprecated features
- `## RENAMED Requirements` - Name changes
Headers matched with `trim(header)` - whitespace ignored.
#### When to use ADDED vs MODIFIED
- ADDED: Introduces a new capability or sub-capability that can stand alone as a requirement. Prefer ADDED when the change is orthogonal (e.g., adding "Slash Command Configuration") rather than altering the semantics of an existing requirement.
- MODIFIED: Changes the behavior, scope, or acceptance criteria of an existing requirement. Always paste the full, updated requirement content (header + all scenarios). The archiver will replace the entire requirement with what you provide here; partial deltas will drop previous details.
- RENAMED: Use when only the name changes. If you also change behavior, use RENAMED (name) plus MODIFIED (content) referencing the new name.
Common pitfall: Using MODIFIED to add a new concern without including the previous text. This causes loss of detail at archive time. If you arent explicitly changing the existing requirement, add a new requirement under ADDED instead.
Authoring a MODIFIED requirement correctly:
1) Locate the existing requirement in `openspec/specs/<capability>/spec.md`.
2) Copy the entire requirement block (from `### Requirement: ...` through its scenarios).
3) Paste it under `## MODIFIED Requirements` and edit to reflect the new behavior.
4) Ensure the header text matches exactly (whitespace-insensitive) and keep at least one `#### Scenario:`.
Example for RENAMED:
```markdown
## RENAMED Requirements
- FROM: `### Requirement: Login`
- TO: `### Requirement: User Authentication`
```
## Troubleshooting
### Common Errors
**"Change must have at least one delta"**
- Check `changes/[name]/specs/` exists with .md files
- Verify files have operation prefixes (## ADDED Requirements)
**"Requirement must have at least one scenario"**
- Check scenarios use `#### Scenario:` format (4 hashtags)
- Don't use bullet points or bold for scenario headers
**Silent scenario parsing failures**
- Exact format required: `#### Scenario: Name`
- Debug with: `openspec show [change] --json --deltas-only`
### Validation Tips
```bash
# Always use strict mode for comprehensive checks
openspec validate [change] --strict
# Debug delta parsing
openspec show [change] --json | jq '.deltas'
# Check specific requirement
openspec show [spec] --json -r 1
```
## Happy Path Script
```bash
# 1) Explore current state
openspec spec list --long
openspec list
# Optional full-text search:
# rg -n "Requirement:|Scenario:" openspec/specs
# rg -n "^#|Requirement:" openspec/changes
# 2) Choose change id and scaffold
CHANGE=add-two-factor-auth
mkdir -p openspec/changes/$CHANGE/{specs/auth}
printf "## Why\n...\n\n## What Changes\n- ...\n\n## Impact\n- ...\n" > openspec/changes/$CHANGE/proposal.md
printf "## 1. Implementation\n- [ ] 1.1 ...\n" > openspec/changes/$CHANGE/tasks.md
# 3) Add deltas (example)
cat > openspec/changes/$CHANGE/specs/auth/spec.md << 'EOF'
## ADDED Requirements
### Requirement: Two-Factor Authentication
Users MUST provide a second factor during login.
#### Scenario: OTP required
- **WHEN** valid credentials are provided
- **THEN** an OTP challenge is required
EOF
# 4) Validate
openspec validate $CHANGE --strict
```
## Multi-Capability Example
```
openspec/changes/add-2fa-notify/
├── proposal.md
├── tasks.md
└── specs/
├── auth/
│ └── spec.md # ADDED: Two-Factor Authentication
└── notifications/
└── spec.md # ADDED: OTP email notification
```
auth/spec.md
```markdown
## ADDED Requirements
### Requirement: Two-Factor Authentication
...
```
notifications/spec.md
```markdown
## ADDED Requirements
### Requirement: OTP Email Notification
...
```
## Best Practices
### Simplicity First
- Default to <100 lines of new code
- Single-file implementations until proven insufficient
- Avoid frameworks without clear justification
- Choose boring, proven patterns
### Complexity Triggers
Only add complexity with:
- Performance data showing current solution too slow
- Concrete scale requirements (>1000 users, >100MB data)
- Multiple proven use cases requiring abstraction
### Clear References
- Use `file.ts:42` format for code locations
- Reference specs as `specs/auth/spec.md`
- Link related changes and PRs
### Capability Naming
- Use verb-noun: `user-auth`, `payment-capture`
- Single purpose per capability
- 10-minute understandability rule
- Split if description needs "AND"
### Change ID Naming
- Use kebab-case, short and descriptive: `add-two-factor-auth`
- Prefer verb-led prefixes: `add-`, `update-`, `remove-`, `refactor-`
- Ensure uniqueness; if taken, append `-2`, `-3`, etc.
## Tool Selection Guide
| Task | Tool | Why |
|------|------|-----|
| Find files by pattern | Glob | Fast pattern matching |
| Search code content | Grep | Optimized regex search |
| Read specific files | Read | Direct file access |
| Explore unknown scope | Task | Multi-step investigation |
## Error Recovery
### Change Conflicts
1. Run `openspec list` to see active changes
2. Check for overlapping specs
3. Coordinate with change owners
4. Consider combining proposals
### Validation Failures
1. Run with `--strict` flag
2. Check JSON output for details
3. Verify spec file format
4. Ensure scenarios properly formatted
### Missing Context
1. Read project.md first
2. Check related specs
3. Review recent archives
4. Ask for clarification
## Quick Reference
### Stage Indicators
- `changes/` - Proposed, not yet built
- `specs/` - Built and deployed
- `archive/` - Completed changes
### File Purposes
- `proposal.md` - Why and what
- `tasks.md` - Implementation steps
- `design.md` - Technical decisions
- `spec.md` - Requirements and behavior
### CLI Essentials
```bash
openspec list # What's in progress?
openspec show [item] # View details
openspec validate --strict # Is it correct?
openspec archive <change-id> [--yes|-y] # Mark complete (add --yes for automation)
```
Remember: Specs are truth. Changes are proposals. Keep them in sync.

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# Change: Fix Kafka Partitioning and Schema Issues
## Why
Production deployment revealed issues with data ingestion:
1. Kafka Topic name changed to include partition suffix.
2. Legacy data contains second-level timestamps (1970s) causing partition lookup failures in PostgreSQL (which expects ms).
3. Variable-length fields (reboot reason, status) exceeded VARCHAR(10) limits, causing crashes.
## What Changes
- **Modified Requirement**: Update Kafka Topic to `blwlog4Nodejs-rcu-onoffline-topic-0`.
- **New Requirement**: Implement heuristic timestamp conversion (Sec -> MS) for values < 100B.
- **New Requirement**: Truncate specific fields to VARCHAR(255) to prevent DB rejection.
- **Modified Requirement**: Update DB Schema to VARCHAR(255) for robustness.
## Impact
- Affected specs: `onoffline`
- Affected code: `src/processor/index.js`, `scripts/init_db.sql`

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## MODIFIED Requirements
### Requirement: 消费并落库
系统 SHALL 从 blwlog4Nodejs-rcu-onoffline-topic-0 消费消息,并写入 log_platform.onoffline.onoffline_record。
#### Scenario: 非重启数据写入
- **GIVEN** RebootReason 为空或不存在
- **WHEN** 消息被处理
- **THEN** current_status 等于 CurrentStatus (截断至 255 字符)
## ADDED Requirements
### Requirement: 字段长度限制与截断
系统 SHALL 将部分变长字段截断至数据库允许的最大长度 (VARCHAR(255)),防止写入失败。
#### Scenario: 超长字段处理
- **GIVEN** LauncherVersion, CurrentStatus 或 RebootReason 超过 255 字符
- **WHEN** 消息被处理
- **THEN** 字段被截断为前 255 个字符并入库
### Requirement: 时间戳单位自动识别
系统 SHALL 自动识别 UnixTime 字段是秒还是毫秒,并统一转换为毫秒。
#### Scenario: 秒级时间戳转换
- **GIVEN** UnixTime < 100000000000 (约 1973 年前)
- **WHEN** 解析时间戳
- **THEN** 自动乘以 1000 转换为毫秒

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## 1. Implementation
- [x] Update Kafka Topic in .env and config
- [x] Implement timestamp unit detection and conversion in processor
- [x] Implement field truncation logic in processor
- [x] Update database schema definition (init_db.sql) to VARCHAR(255)
- [x] Verify data ingestion with production stream

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# Change: Optimize Kafka Consumption Performance
## Why
User reports extremely slow Kafka consumption. Current implementation processes and inserts messages one-by-one, which creates a bottleneck at the database network round-trip time (RTT).
## What Changes
- **New Requirement**: Implement Batch Processing for Kafka messages.
- **Refactor**: Decouple message parsing from insertion in `processor`.
- **Logic**:
- Accumulate messages in a buffer (e.g., 500ms or 500 items).
- Perform Batch Insert into PostgreSQL.
- Implement Row-by-Row fallback for batch failures (to isolate bad data).
- Handle DB connection errors with retry loop at batch level.
## Impact
- Affected specs: `onoffline`
- Affected code: `src/index.js`, `src/processor/index.js`
- Performance: Expected 10x-100x throughput increase.

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## ADDED Requirements
### Requirement: 批量消费与写入
系统 SHALL 对 Kafka 消息进行缓冲,并按批次写入数据库,以提高吞吐量。
#### Scenario: 批量写入
- **GIVEN** 短时间内收到多条消息 (e.g., 500条)
- **WHEN** 缓冲区满或超时 (e.g., 200ms)
- **THEN** 执行一次批量数据库插入操作
#### Scenario: 写入失败降级
- **GIVEN** 批量写入因数据错误失败 (非连接错误)
- **WHEN** 捕获异常
- **THEN** 自动降级为逐条写入,以隔离错误数据并确保有效数据入库

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## 1. Implementation
- [ ] Refactor `src/processor/index.js` to export `parseMessageToRows`
- [ ] Implement `BatchProcessor` logic in `src/index.js`
- [ ] Update `handleMessage` to use `BatchProcessor`
- [ ] Verify performance improvement

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# Proposal: Refactor Partition Indexes
## Goal
利用 PostgreSQL 默认的支持,改变每日分区创立时的索引策略,不再在代码中对每个分区单独创建索引。
## Context
当前 `PartitionManager` 在动态创建子分区后,会隐式调用查询在子分区上创建六个单列索引。由于我们使用的是 PostgreSQL 11+,且我们在初始化脚本中的主分区表 `onoffline.onoffline_record` 上已经创建了所有的索引,此主表上的索引会自动应用于所有的子分区,不需要我们在创建分区时另外手动添加。
## Proposed Changes
1.`src/db/partitionManager.js` 中移除子分区显式创建索引的方法 `ensurePartitionIndexes` 以及针对已有子分区的循环索引检查函数 `ensureIndexesForExistingPartitions`
2. 在更新分区流程 `ensurePartitions` 以及 `ensurePartitionsForTimestamps` 中,移除对 `ensurePartitionIndexes` 的调用。

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# Spec Delta: onoffline-backend
## MODIFIED Requirements
### Requirement: 数据库分区策略
系统 SHALL 使用 Range Partitioning 按天分区,并自动维护未来 30 天的分区表,子表依赖 PostgreSQL 原生机制继承主表索引。
#### Scenario: 分区预创建
- **GIVEN** 系统启动或每日凌晨
- **WHEN** 运行分区维护任务
- **THEN** 确保数据库中存在未来 30 天的分区表,无需对子表显式创建单列表索引

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# Tasks: Refactor Partition Indexes
- [x] refactor `src/db/partitionManager.js`: remove `ensurePartitionIndexes` and `ensureIndexesForExistingPartitions`.
- [x] refactor `src/db/partitionManager.js`: update `ensurePartitions` and `ensurePartitionsForTimestamps` to remove calls to `ensurePartitionIndexes`.
- [x] refactor `src/db/initializer.js` (and any other occurrences) to reflect the removal.
- [x] update openspec requirements to clarify that index propagation relies on PostgreSQL parent-table indexes.

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# Change: remove runtime db provisioning
## Why
当前服务在运行时承担了建库、建表和分区维护职责,导致服务职责边界不清晰,也会引入启动阶段 DDL 风险。现已将该能力剥离到根目录 `SQL_Script/`,需要通过 OpenSpec 正式记录为规范变更。
## What Changes
- 移除服务启动阶段的数据库初始化与定时分区维护要求。
- 移除服务在写入失败时自动创建缺失分区的要求。
- 明确数据库结构与分区维护由外部脚本(`SQL_Script/`)负责。
- 保留服务的核心职责Kafka 消费、解析、写库、重试与监控。
## Impact
- Affected specs: `openspec/specs/onoffline/spec.md`
- Affected code: `src/index.js`, `src/config/config.js`, `src/db/initializer.js`, `src/db/partitionManager.js`, `scripts/init_db.sql`, `scripts/verify_partitions.js`, `../SQL_Script/*`

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## MODIFIED Requirements
### Requirement: 数据库分区策略
系统 SHALL 使用 Range Partitioning 按天分区;运行服务本身 SHALL NOT 执行建库、建表、分区创建或定时分区维护。
#### Scenario: 服务启动不执行 DDL
- **GIVEN** 服务进程启动
- **WHEN** 进入 bootstrap 过程
- **THEN** 仅初始化消费、处理、监控相关能力,不执行数据库创建、表结构初始化与分区创建
#### Scenario: 分区由外部脚本维护
- **GIVEN** 需要创建数据库对象或新增未来分区
- **WHEN** 执行外部 SQL/JS 工具
- **THEN** 通过根目录 `SQL_Script/` 完成建库和分区维护,而不是由服务运行时自动执行
### Requirement: 批量消费与写入
系统 SHALL 对 Kafka 消息进行缓冲,并按批次写入数据库,以提高吞吐量;当写入失败时,系统 SHALL 执行连接恢复重试与降级策略,但不在运行时创建数据库分区。
#### Scenario: 批量写入
- **GIVEN** 短时间内收到多条消息 (e.g., 500条)
- **WHEN** 缓冲区满或超时 (e.g., 200ms)
- **THEN** 执行一次批量数据库插入操作
#### Scenario: 写入失败降级
- **GIVEN** 批量写入因数据错误失败 (非连接错误)
- **WHEN** 捕获异常
- **THEN** 自动降级为逐条写入,以隔离错误数据并确保有效数据入库
#### Scenario: 分区缺失错误处理
- **GIVEN** 写入时数据库返回分区缺失错误
- **WHEN** 服务处理该错误
- **THEN** 服务记录错误并按既有错误处理机制处理,不在运行时执行分区创建

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## 1. Implementation
- [x] 1.1 Remove runtime DB initialization from bootstrap flow (`src/index.js`).
- [x] 1.2 Remove scheduled partition maintenance job from runtime service.
- [x] 1.3 Remove runtime missing-partition auto-fix behavior.
- [x] 1.4 Remove legacy DB provisioning modules and scripts from service project.
- [x] 1.5 Add external SQL/JS provisioning scripts under root `SQL_Script/` for DB/schema/partition management.
- [x] 1.6 Update project docs to point DB provisioning to `SQL_Script/`.
## 2. Validation
- [x] 2.1 Run `npm run lint` in `bls-onoffline-backend`.
- [x] 2.2 Run `npm run build` in `bls-onoffline-backend`.
- [x] 2.3 Run `openspec validate remove-runtime-db-provisioning --strict`.

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# Project Context
## Purpose
[Describe your project's purpose and goals]
## Tech Stack
- [List your primary technologies]
- [e.g., TypeScript, React, Node.js]
## Project Conventions
### Code Style
[Describe your code style preferences, formatting rules, and naming conventions]
### Architecture Patterns
[Document your architectural decisions and patterns]
### Testing Strategy
[Explain your testing approach and requirements]
### Git Workflow
[Describe your branching strategy and commit conventions]
## Domain Context
[Add domain-specific knowledge that AI assistants need to understand]
## Important Constraints
[List any technical, business, or regulatory constraints]
## External Dependencies
[Document key external services, APIs, or systems]

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# Spec: onoffline-backend
## Purpose
从 Kafka 消费设备上下线事件并按规则写入 PostgreSQL 分区表,确保高可靠性、幂等写入和错误恢复能力。
## Requirements
### Requirement: 消费并落库
系统 SHALL 从 blwlog4Nodejs-rcu-onoffline-topic-0 消费消息,并写入 log_platform.onoffline.onoffline_record。
#### Scenario: 非重启数据写入
- **GIVEN** RebootReason 为空或不存在
- **WHEN** 消息被处理
- **THEN** current_status 等于 CurrentStatus (截断至 255 字符)
### Requirement: 重启数据处理
系统 SHALL 在 RebootReason 非空时强制 current_status 为 on。
#### Scenario: 重启数据写入
- **GIVEN** RebootReason 为非空值
- **WHEN** 消息被处理
- **THEN** current_status 等于 on
### Requirement: 空值保留
系统 SHALL 保留上游空值,不对字段进行补 0。
#### Scenario: 空值写入
- **GIVEN** LauncherVersion 或 RebootReason 为空字符串
- **WHEN** 消息被处理
- **THEN** 数据库存储值为对应的空字符串
### Requirement: 数据库分区策略
系统 SHALL 使用 Range Partitioning 按天分区,并自动维护未来 30 天的分区表,子表依赖 PostgreSQL 原生机制继承主表索引。
#### Scenario: 分区预创建
- **GIVEN** 系统启动或每日凌晨
- **WHEN** 运行分区维护任务
- **THEN** 确保数据库中存在未来 30 天的分区表,无需对子表显式创建单列表索引
### Requirement: 消费可靠性 (At-Least-Once)
系统 SHALL 仅在数据成功写入数据库后,才向 Kafka 提交消费位点。
#### Scenario: 逐条确认与顺序提交
- **GIVEN** 并发处理多条消息 (Offset 1, 2, 3)
- **WHEN** Offset 2 先完成Offset 1 尚未完成
- **THEN** 系统不提交 Offset 2直到 Offset 1 也完成,才提交 Offset 3 (即 1, 2, 3 都完成)
### Requirement: 数据库离线保护
系统 SHALL 在数据库连接丢失时暂停消费,防止数据堆积或丢失。
#### Scenario: 数据库断连
- **GIVEN** 数据库连接失败 (ECONNREFUSED 等)
- **WHEN** 消费者尝试写入
- **THEN** 暂停 Kafka 消费 1 分钟,并进入轮询检测模式,直到数据库恢复
### Requirement: 幂等写入
系统 SHALL 处理重复消费的数据,防止主键冲突。
#### Scenario: 重复数据处理
- **GIVEN** Kafka 重新投递已处理过的消息
- **WHEN** 尝试写入数据库
- **THEN** 使用 `ON CONFLICT DO NOTHING` 忽略冲突,视为处理成功
### Requirement: 性能与日志
系统 SHALL 最小化正常运行时的日志输出。
#### Scenario: 正常运行日志
- **GIVEN** 数据正常处理
- **WHEN** 写入成功
- **THEN** 不输出单条日志,仅每分钟输出聚合统计 (Pulled/Inserted)
### Requirement: 字段长度限制与截断
系统 SHALL 将部分变长字段截断至数据库允许的最大长度 (VARCHAR(255)),防止写入失败。
#### Scenario: 超长字段处理
- **GIVEN** LauncherVersion, CurrentStatus 或 RebootReason 超过 255 字符
- **WHEN** 消息被处理
- **THEN** 字段被截断为前 255 个字符并入库
### Requirement: 时间戳单位自动识别
系统 SHALL 自动识别 UnixTime 字段是秒还是毫秒,并统一转换为毫秒。
#### Scenario: 秒级时间戳转换
- **GIVEN** UnixTime < 100000000000 (约 1973 年前)
- **WHEN** 解析时间戳
- **THEN** 自动乘以 1000 转换为毫秒
### Requirement: 批量消费与写入
系统 SHALL 对 Kafka 消息进行缓冲,并按批次写入数据库,以提高吞吐量;当写入失败时,系统 SHALL 执行连接恢复重试与降级策略,但不在运行时创建数据库分区。
#### Scenario: 批量写入
- **GIVEN** 短时间内收到多条消息 (e.g., 500条)
- **WHEN** 缓冲区满或超时 (e.g., 200ms)
- **THEN** 执行一次批量数据库插入操作
#### Scenario: 写入失败降级
- **GIVEN** 批量写入因数据错误失败 (非连接错误)
- **WHEN** 捕获异常
- **THEN** 自动降级为逐条写入,以隔离错误数据并确保有效数据入库
#### Scenario: 分区缺失错误处理
- **GIVEN** 写入时数据库返回分区缺失错误
- **WHEN** 服务处理该错误
- **THEN** 服务记录错误并按既有错误处理机制处理,不在运行时执行分区创建

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## Implementation Status
- **Date**: 2026-02-04
- **Status**: Completed
- **Notes**:
- 已完成核心消费逻辑、分区管理、数据库幂等写入。
- 已处理数据库连接泄露 (EADDRINUSE) 问题,增加了离线保护机制。
- 已修复时间戳单位问题 (Seconds -> MS)。
- 已将关键字段长度扩展至 VARCHAR(255) 并增加了代码层截断保护。
- 验证了数据积压消费能力。
- 本阶段开发任务已归档。

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docs/template/bls-onoffline-backend/package-lock.json generated vendored Normal file

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{
"name": "bls-onoffline-backend",
"version": "1.0.0",
"type": "module",
"private": true,
"scripts": {
"dev": "node src/index.js",
"build": "vite build --ssr src/index.js --outDir dist",
"test": "vitest run",
"lint": "node scripts/lint.js",
"spec:lint": "openspec validate --specs --strict --no-interactive",
"spec:validate": "openspec validate --specs --no-interactive",
"start": "node dist/index.js"
},
"dependencies": {
"dotenv": "^16.4.5",
"kafka-node": "^5.0.0",
"node-cron": "^4.2.1",
"pg": "^8.11.5",
"redis": "^4.6.13",
"zod": "^4.3.6"
},
"devDependencies": {
"vite": "^5.4.0",
"vitest": "^4.0.18"
}
}

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import fs from 'fs';
import path from 'path';
import { fileURLToPath } from 'url';
import { spawnSync } from 'child_process';
const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);
const projectRoot = path.resolve(__dirname, '..');
const targets = ['src', 'tests'];
const collectFiles = (dir) => {
if (!fs.existsSync(dir)) {
return [];
}
const entries = fs.readdirSync(dir, { withFileTypes: true });
return entries.flatMap((entry) => {
const fullPath = path.join(dir, entry.name);
if (entry.isDirectory()) {
return collectFiles(fullPath);
}
if (entry.isFile() && fullPath.endsWith('.js')) {
return [fullPath];
}
return [];
});
};
const files = targets.flatMap((target) => collectFiles(path.join(projectRoot, target)));
const failures = [];
files.forEach((file) => {
const result = spawnSync(process.execPath, ['--check', file], { stdio: 'inherit' });
if (result.status !== 0) {
failures.push(file);
}
});
if (failures.length > 0) {
process.exit(1);
}

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import { config } from '../src/config/config.js';
import dbManager from '../src/db/databaseManager.js';
import { logger } from '../src/utils/logger.js';
const verifyData = async () => {
const client = await dbManager.pool.connect();
try {
console.log('Verifying data in database...');
// Count total rows
const countSql = `SELECT count(*) FROM ${config.db.schema}.${config.db.table}`;
const countRes = await client.query(countSql);
console.log(`Total rows in ${config.db.schema}.${config.db.table}: ${countRes.rows[0].count}`);
// Check recent rows
const recentSql = `
SELECT * FROM ${config.db.schema}.${config.db.table}
ORDER BY ts_ms DESC
LIMIT 5
`;
const recentRes = await client.query(recentSql);
console.log('Recent 5 rows:');
recentRes.rows.forEach(row => {
console.log(JSON.stringify(row));
});
} catch (err) {
console.error('Error verifying data:', err);
} finally {
client.release();
await dbManager.pool.end();
}
};
verifyData();

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bls-onoffline-backend 规格说明
1. Kafka 数据结构
{
"HotelCode": "1085",
"MAC": "00:1A:2B:3C:4D:5E",
"HostNumber": "091123987456",
"RoomNumber": "8888房",
"EndPoint": "50.2.60.1:6543",
"CurrentStatus": "on",
"CurrentTime": "2026-02-02T10:30:00Z",
"UnixTime": 1770000235000,
"LauncherVersion": "1.0.0",
"RebootReason": "1"
}
2. Kafka 主题
Topicblwlog4Nodejs-rcu-onoffline-topic
3. 数据库结构
数据库log_platform
onoffline_record
字段:
guid varchar(32)
ts_ms int8
write_ts_ms int8
hotel_id int2
mac varchar(21)
device_id varchar(64)
room_id varchar(64)
ip varchar(21)
current_status varchar(10)
launcher_version varchar(10)
reboot_reason varchar(10)
主键ts_ms, mac, device_id, room_id
按 ts_ms 每日分区
G5库结构双写临时接入
库同为log_platform
onoffline_record_g5
差异字段:
- guid 为 int4由库自己生成。
- record_source 固定为 CRICS。
- current_status 为 int2on映射为1off映射为2其余为0。
支持通过环境变量开关双写。
4. 数据处理规则
非重启数据reboot_reason 为空或不存在current_status 取 CurrentStatus
重启数据reboot_reason 不为空current_status 固定为 on
其余字段直接按 Kafka 原值落库,空值不补 0

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import dotenv from 'dotenv';
dotenv.config();
const parseNumber = (value, defaultValue) => {
const parsed = Number(value);
return Number.isFinite(parsed) ? parsed : defaultValue;
};
const parseList = (value) =>
(value || '')
.split(',')
.map((item) => item.trim())
.filter(Boolean);
export const config = {
env: process.env.NODE_ENV || 'development',
port: parseNumber(process.env.PORT, 3001),
kafka: {
brokers: parseList(process.env.KAFKA_BROKERS),
topic: process.env.KAFKA_TOPIC || process.env.KAFKA_TOPICS || 'blwlog4Nodejs-rcu-onoffline-topic',
groupId: process.env.KAFKA_GROUP_ID || 'bls-onoffline-group',
clientId: process.env.KAFKA_CLIENT_ID || 'bls-onoffline-client',
consumerInstances: parseNumber(process.env.KAFKA_CONSUMER_INSTANCES, 1),
maxInFlight: parseNumber(process.env.KAFKA_MAX_IN_FLIGHT, 20000),
fetchMaxBytes: parseNumber(process.env.KAFKA_FETCH_MAX_BYTES, 50 * 1024 * 1024),
fetchMinBytes: parseNumber(process.env.KAFKA_FETCH_MIN_BYTES, 256 * 1024),
fetchMaxWaitMs: parseNumber(process.env.KAFKA_FETCH_MAX_WAIT_MS, 100),
autoCommitIntervalMs: parseNumber(process.env.KAFKA_AUTO_COMMIT_INTERVAL_MS, 5000),
commitIntervalMs: parseNumber(process.env.KAFKA_COMMIT_INTERVAL_MS, 200),
commitOnAttempt: process.env.KAFKA_COMMIT_ON_ATTEMPT === 'true',
batchSize: parseNumber(process.env.KAFKA_BATCH_SIZE, 5000),
batchTimeoutMs: parseNumber(process.env.KAFKA_BATCH_TIMEOUT_MS, 50),
logMessages: process.env.KAFKA_LOG_MESSAGES === 'true',
sasl: process.env.KAFKA_SASL_USERNAME && process.env.KAFKA_SASL_PASSWORD ? {
mechanism: process.env.KAFKA_SASL_MECHANISM || 'plain',
username: process.env.KAFKA_SASL_USERNAME,
password: process.env.KAFKA_SASL_PASSWORD
} : undefined
},
db: {
host: process.env.DB_HOST || process.env.POSTGRES_HOST || 'localhost',
port: parseNumber(process.env.DB_PORT || process.env.POSTGRES_PORT, 5432),
user: process.env.DB_USER || process.env.POSTGRES_USER || 'postgres',
password: process.env.DB_PASSWORD || process.env.POSTGRES_PASSWORD || '',
database: process.env.DB_DATABASE || process.env.POSTGRES_DATABASE || 'log_platform',
max: parseNumber(process.env.DB_MAX_CONNECTIONS || process.env.POSTGRES_MAX_CONNECTIONS, 10),
ssl: process.env.DB_SSL === 'true' ? { rejectUnauthorized: false } : undefined,
schema: process.env.DB_SCHEMA || 'onoffline',
table: process.env.DB_TABLE || 'onoffline_record'
},
g5db: {
enabled: !!process.env.POSTGRES_HOST_G5,
host: process.env.POSTGRES_HOST_G5,
port: parseNumber(process.env.POSTGRES_PORT_G5, 5434),
user: process.env.POSTGRES_USER_G5,
password: process.env.POSTGRES_PASSWORD_G5,
database: process.env.POSTGRES_DATABASE_G5,
max: parseNumber(process.env.POSTGRES_MAX_CONNECTIONS_G5, 3),
ssl: process.env.POSTGRES_SSL_G5 === 'true' ? { rejectUnauthorized: false } : undefined,
schema: process.env.DB_SCHEMA_G5 || 'onoffline',
table: process.env.DB_TABLE_G5 || 'onoffline_record_g5'
},
redis: {
host: process.env.REDIS_HOST || 'localhost',
port: parseNumber(process.env.REDIS_PORT, 6379),
password: process.env.REDIS_PASSWORD || undefined,
db: parseNumber(process.env.REDIS_DB, 0),
projectName: process.env.REDIS_PROJECT_NAME || 'bls-onoffline',
apiBaseUrl: process.env.REDIS_API_BASE_URL || `http://localhost:${parseNumber(process.env.PORT, 3001)}`
}
};

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import pg from 'pg';
import { config } from '../config/config.js';
import { logger } from '../utils/logger.js';
const { Pool } = pg;
const columns = [
'guid',
'ts_ms',
'write_ts_ms',
'hotel_id',
'mac',
'device_id',
'room_id',
'ip',
'current_status',
'launcher_version',
'reboot_reason'
];
export class DatabaseManager {
constructor(dbConfig) {
this.pool = new Pool({
host: dbConfig.host,
port: dbConfig.port,
user: dbConfig.user,
password: dbConfig.password,
database: dbConfig.database,
max: dbConfig.max,
ssl: dbConfig.ssl
});
}
async insertRows({ schema, table, rows }) {
if (!rows || rows.length === 0) {
return;
}
const statement = `
INSERT INTO ${schema}.${table} (${columns.join(', ')})
SELECT *
FROM UNNEST(
$1::text[],
$2::int8[],
$3::int8[],
$4::int2[],
$5::text[],
$6::text[],
$7::text[],
$8::text[],
$9::text[],
$10::text[],
$11::text[]
)
ON CONFLICT DO NOTHING
`;
try {
const params = columns.map((column) => rows.map((row) => row[column] ?? null));
await this.pool.query(statement, params);
} catch (error) {
logger.error('Database insert failed', {
error: error?.message,
schema,
table,
rowsLength: rows.length
});
throw error;
}
}
async checkConnection() {
let client;
try {
const connectPromise = this.pool.connect();
// Create a timeout promise that rejects after 5000ms
const timeoutPromise = new Promise((_, reject) => {
setTimeout(() => reject(new Error('Connection timeout')), 5000);
});
try {
// Race the connection attempt against the timeout
client = await Promise.race([connectPromise, timeoutPromise]);
} catch (raceError) {
// If we timed out, the connectPromise might still resolve later.
// We must ensure that if it does, the client is released back to the pool immediately.
connectPromise.then(c => c.release()).catch(() => {});
throw raceError;
}
await client.query('SELECT 1');
return true;
} catch (err) {
logger.error('Database check connection failed', { error: err.message });
return false;
} finally {
if (client) {
client.release();
}
}
}
async close() {
await this.pool.end();
}
}
const dbManager = new DatabaseManager(config.db);
export default dbManager;

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import pg from 'pg';
import { config } from '../config/config.js';
import { logger } from '../utils/logger.js';
const { Pool } = pg;
const g5Columns = [
'ts_ms',
'write_ts_ms',
'hotel_id',
'mac',
'device_id',
'room_id',
'ip',
'current_status',
'launcher_version',
'reboot_reason',
'record_source'
];
export class G5DatabaseManager {
constructor(dbConfig) {
if (!dbConfig.enabled) return;
this.pool = new Pool({
host: dbConfig.host,
port: dbConfig.port,
user: dbConfig.user,
password: dbConfig.password,
database: dbConfig.database,
max: dbConfig.max,
ssl: dbConfig.ssl
});
}
async insertRows({ schema, table, rows }) {
if (!this.pool || !rows || rows.length === 0) {
return;
}
const statement = `
INSERT INTO ${schema}.${table} (${g5Columns.join(', ')})
SELECT *
FROM UNNEST(
$1::int8[],
$2::int8[],
$3::int2[],
$4::text[],
$5::text[],
$6::text[],
$7::text[],
$8::int2[],
$9::text[],
$10::text[],
$11::text[]
)
ON CONFLICT DO NOTHING
`;
try {
const params = g5Columns.map((column) => {
return rows.map((row) => {
if (column === 'record_source') {
return 'CRICS';
}
if (column === 'current_status') {
// current_status in G5 is int2
if (row.current_status === 'on') return 1;
if (row.current_status === 'off') return 2;
return 0;
}
return row[column] ?? null;
});
});
await this.pool.query(statement, params);
} catch (error) {
logger.error('G5 Database insert failed', {
error: error?.message,
schema,
table,
rowsLength: rows.length
});
throw error;
}
}
async checkConnection() {
if (!this.pool) return true; // Pretend it's ok if disabled
let client;
try {
const connectPromise = this.pool.connect();
const timeoutPromise = new Promise((_, reject) => {
setTimeout(() => reject(new Error('Connection timeout')), 5000);
});
try {
client = await Promise.race([connectPromise, timeoutPromise]);
} catch (raceError) {
connectPromise.then(c => c.release()).catch(() => { });
throw raceError;
}
await client.query('SELECT 1');
return true;
} catch (err) {
logger.error('G5 Database check connection failed', { error: err.message });
return false;
} finally {
if (client) {
client.release();
}
}
}
async close() {
if (this.pool) {
await this.pool.end();
}
}
}
const g5DbManager = new G5DatabaseManager(config.g5db);
export default g5DbManager;

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import cron from 'node-cron';
import { config } from './config/config.js';
import dbManager from './db/databaseManager.js';
import g5DbManager from './db/g5DatabaseManager.js';
import { createKafkaConsumers } from './kafka/consumer.js';
import { parseMessageToRows } from './processor/index.js';
import { createRedisClient } from './redis/redisClient.js';
import { RedisIntegration } from './redis/redisIntegration.js';
import { buildErrorQueueKey, enqueueError, startErrorRetryWorker } from './redis/errorQueue.js';
import { MetricCollector } from './utils/metricCollector.js';
import { logger } from './utils/logger.js';
const bootstrap = async () => {
// Log startup config (masked)
logger.info('Starting application with config', {
env: process.env.NODE_ENV,
db: {
host: config.db.host,
port: config.db.port,
user: config.db.user,
database: config.db.database,
schema: config.db.schema
},
kafka: {
brokers: config.kafka.brokers,
topic: config.kafka.topic,
groupId: config.kafka.groupId
},
redis: {
host: config.redis.host,
port: config.redis.port
}
});
// Metric Collector
const metricCollector = new MetricCollector();
// 1.1 Setup Metric Reporting Cron Job (Every minute)
// Moved after redisIntegration initialization
const redisClient = await createRedisClient(config.redis);
const redisIntegration = new RedisIntegration(
redisClient,
config.redis.projectName,
config.redis.apiBaseUrl
);
redisIntegration.startHeartbeat();
// 1.1 Setup Metric Reporting Cron Job (Every minute)
cron.schedule('* * * * *', async () => {
const metrics = metricCollector.getAndReset();
const flushAvgMs = metrics.batch_flush_count > 0 ? (metrics.batch_flush_ms_sum / metrics.batch_flush_count).toFixed(1) : '0.0';
const dbAvgMs = metrics.db_insert_count > 0 ? (metrics.db_insert_ms_sum / metrics.db_insert_count).toFixed(1) : '0.0';
const report = `[Metrics] Pulled:${metrics.kafka_pulled} ParseErr:${metrics.parse_error} Inserted:${metrics.db_inserted} Failed:${metrics.db_failed} FlushAvg:${flushAvgMs}ms DbAvg:${dbAvgMs}ms`;
console.log(report);
logger.info(report);
try {
await redisIntegration.info('Minute Metrics', metrics);
} catch (err) {
logger.error('Failed to report metrics to Redis', { error: err?.message });
}
});
const errorQueueKey = buildErrorQueueKey(config.redis.projectName);
const handleError = async (error, message) => {
logger.error('Kafka processing error', {
error: error?.message,
type: error?.type,
stack: error?.stack
});
try {
await redisIntegration.error('Kafka processing error', {
module: 'kafka',
stack: error?.stack || error?.message
});
} catch (redisError) {
logger.error('Redis error log failed', { error: redisError?.message });
}
if (message) {
const messageValue = Buffer.isBuffer(message.value)
? message.value.toString('utf8')
: message.value;
try {
await enqueueError(redisClient, errorQueueKey, {
attempts: 0,
value: messageValue,
meta: {
topic: message.topic,
partition: message.partition,
offset: message.offset,
key: message.key
},
timestamp: Date.now()
});
} catch (enqueueError) {
logger.error('Enqueue error payload failed', { error: enqueueError?.message });
}
}
};
const configuredBatchSize = Number.isFinite(config.kafka.batchSize) ? config.kafka.batchSize : 1000;
const configuredBatchTimeoutMs = Number.isFinite(config.kafka.batchTimeoutMs) ? config.kafka.batchTimeoutMs : 20;
const configuredMaxInFlight = Number.isFinite(config.kafka.maxInFlight) ? config.kafka.maxInFlight : 5000;
const BATCH_SIZE = Math.max(10, Math.min(configuredBatchSize, configuredMaxInFlight));
const BATCH_TIMEOUT_MS = Math.max(1, configuredBatchTimeoutMs);
const commitOnAttempt = config.kafka.commitOnAttempt === true;
const batchStates = new Map();
const partitionKeyFromMessage = (message) => {
if (message?.topic !== undefined && message?.partition !== undefined) {
return `${message.topic}-${message.partition}`;
}
return 'retry';
};
const dayKeyFromTsMs = (tsMs) => {
const numeric = typeof tsMs === 'string' ? Number(tsMs) : tsMs;
if (!Number.isFinite(numeric)) return null;
const d = new Date(numeric);
if (Number.isNaN(d.getTime())) return null;
const yyyy = d.getFullYear();
const mm = String(d.getMonth() + 1).padStart(2, '0');
const dd = String(d.getDate()).padStart(2, '0');
return `${yyyy}${mm}${dd}`;
};
const getBatchState = (key) => {
if (!batchStates.has(key)) {
batchStates.set(key, { items: [], timer: null, flushing: null });
}
return batchStates.get(key);
};
const isDbConnectionError = (err) => {
const code = err?.code;
if (typeof code === 'string') {
const networkCodes = new Set([
'ECONNREFUSED',
'ECONNRESET',
'EPIPE',
'ETIMEDOUT',
'ENOTFOUND',
'EHOSTUNREACH',
'ENETUNREACH',
'57P03',
'08006',
'08001',
'08000',
'08003'
]);
if (networkCodes.has(code)) return true;
}
const message = typeof err?.message === 'string' ? err.message : '';
if (!message) return false;
const lower = message.toLowerCase();
return (
lower.includes('connection timeout') ||
lower.includes('connection terminated') ||
lower.includes('connection refused') ||
lower.includes('terminating connection') ||
lower.includes('econnrefused') ||
lower.includes('econnreset') ||
lower.includes('etimedout') ||
lower.includes('could not connect') ||
lower.includes('the database system is starting up') ||
lower.includes('no pg_hba.conf entry')
);
};
const insertRowsWithRetry = async (rows) => {
const startedAt = Date.now();
while (true) {
try {
const promises = [
dbManager.insertRows({ schema: config.db.schema, table: config.db.table, rows })
];
if (config.g5db.enabled) {
promises.push(g5DbManager.insertRows({ schema: config.g5db.schema, table: config.g5db.table, rows }).catch(e => {
logger.error('G5 Database insert failed but non-blocking', { error: e.message });
}));
}
await Promise.all(promises);
metricCollector.increment('db_insert_count', 1);
metricCollector.increment('db_insert_ms_sum', Date.now() - startedAt);
return;
} catch (err) {
if (isDbConnectionError(err)) {
logger.error('Database offline during batch insert. Retrying in 5s...', { error: err.message });
await new Promise(r => setTimeout(r, 5000));
while (!(await dbManager.checkConnection())) {
logger.warn('Database still offline. Waiting 5s...');
await new Promise(r => setTimeout(r, 5000));
}
continue;
}
throw err;
}
}
};
const insertRowsOnce = async (rows) => {
const startedAt = Date.now();
const promises = [
dbManager.insertRows({ schema: config.db.schema, table: config.db.table, rows })
];
if (config.g5db.enabled) {
promises.push(g5DbManager.insertRows({ schema: config.g5db.schema, table: config.g5db.table, rows }).catch(e => {
logger.error('G5 Database insert failed in insertOnce', { error: e.message });
}));
}
await Promise.all(promises);
metricCollector.increment('db_insert_count', 1);
metricCollector.increment('db_insert_ms_sum', Date.now() - startedAt);
};
const resolveInsertedItems = (partitionKey, items) => {
let insertedRows = 0;
for (const p of items) {
insertedRows += p.rows.length;
const dayKey = dayKeyFromTsMs(p.rows?.[0]?.ts_ms);
if (dayKey) {
metricCollector.incrementKeyed('db_inserted_by_day', dayKey, p.rows.length);
}
p.item.resolve();
}
metricCollector.increment('db_inserted', insertedRows);
metricCollector.incrementKeyed('db_inserted_by_partition', partitionKey, insertedRows);
};
const handleFailedItem = async (partitionKey, p, err) => {
metricCollector.increment('db_failed');
metricCollector.incrementKeyed('db_failed_by_partition', partitionKey, 1);
const dayKey = dayKeyFromTsMs(p.rows?.[0]?.ts_ms);
if (dayKey) {
metricCollector.incrementKeyed('db_failed_by_day', dayKey, 1);
}
await handleError(err, p.item.message);
p.item.resolve();
};
const insertItemsDegraded = async (partitionKey, items) => {
if (items.length === 0) return;
const rows = items.flatMap(p => p.rows);
if (commitOnAttempt) {
try {
await insertRowsOnce(rows);
resolveInsertedItems(partitionKey, items);
} catch (err) {
for (const item of items) {
await handleFailedItem(partitionKey, item, err);
}
}
return;
}
try {
await insertRowsWithRetry(rows);
resolveInsertedItems(partitionKey, items);
return;
} catch (err) {
if (items.length === 1) {
try {
await insertRowsWithRetry(items[0].rows);
resolveInsertedItems(partitionKey, items);
} catch (innerErr) {
await handleFailedItem(partitionKey, items[0], innerErr);
}
return;
}
const mid = Math.floor(items.length / 2);
await insertItemsDegraded(partitionKey, items.slice(0, mid));
await insertItemsDegraded(partitionKey, items.slice(mid));
}
};
const flushBatchForKey = async (partitionKey) => {
const state = getBatchState(partitionKey);
if (state.flushing) return state.flushing;
state.flushing = (async () => {
if (state.timer) {
clearTimeout(state.timer);
state.timer = null;
}
if (state.items.length === 0) return;
const startedAt = Date.now();
const currentBatch = state.items;
state.items = [];
const pendingDbItems = [];
const unresolvedItems = [];
try {
for (const item of currentBatch) {
try {
const rows = parseMessageToRows(item.message);
pendingDbItems.push({ item, rows });
unresolvedItems.push(item);
} catch (err) {
metricCollector.increment('parse_error');
metricCollector.incrementKeyed('parse_error_by_partition', partitionKey, 1);
logger.error('Message processing failed (Parse/Validation)', { error: err.message });
await handleError(err, item.message);
item.resolve();
}
}
if (pendingDbItems.length > 0) {
const firstTs = pendingDbItems[0]?.rows?.[0]?.ts_ms;
const dayKey = dayKeyFromTsMs(firstTs);
if (dayKey) {
const dayStartMs = Date.now();
await insertItemsDegraded(partitionKey, pendingDbItems);
metricCollector.incrementKeyed('db_insert_ms_sum_by_day', dayKey, Date.now() - dayStartMs);
} else {
await insertItemsDegraded(partitionKey, pendingDbItems);
}
}
metricCollector.increment('batch_flush_count', 1);
metricCollector.increment('batch_flush_ms_sum', Date.now() - startedAt);
} catch (err) {
if (!commitOnAttempt && isDbConnectionError(err)) {
state.items = unresolvedItems.concat(state.items);
if (!state.timer) {
state.timer = setTimeout(() => {
state.timer = null;
flushBatchForKey(partitionKey);
}, 5000);
}
return;
}
logger.error('Batch flush failed (non-network). Marking as consumed', {
error: err?.message,
partitionKey,
batchSize: currentBatch.length
});
for (const item of unresolvedItems) {
try {
await handleError(err, item.message);
} catch { }
item.resolve();
}
}
})().finally(() => {
state.flushing = null;
if (state.items.length > 0) {
if (state.items.length >= BATCH_SIZE) {
flushBatchForKey(partitionKey);
} else if (!state.timer) {
state.timer = setTimeout(() => {
state.timer = null;
flushBatchForKey(partitionKey);
}, BATCH_TIMEOUT_MS);
}
}
});
return state.flushing;
};
const handleMessage = (message) => {
if (message.topic) {
metricCollector.increment('kafka_pulled');
metricCollector.incrementKeyed('kafka_pulled_by_partition', `${message.topic}-${message.partition}`, 1);
}
// const messageValue = Buffer.isBuffer(message.value)
// ? message.value.toString('utf8')
// : message.value;
// const messageKey = Buffer.isBuffer(message.key)
// ? message.key.toString('utf8')
// : message.key;
// const logDetails = {
// topic: message.topic,
// partition: message.partition,
// offset: message.offset,
// key: messageKey,
// value: config.kafka.logMessages ? messageValue : undefined,
// valueLength: !config.kafka.logMessages && typeof messageValue === 'string' ? messageValue.length : null
// };
// logger.info('Kafka message received', logDetails);
const partitionKey = partitionKeyFromMessage(message);
const state = getBatchState(partitionKey);
return new Promise((resolve, reject) => {
state.items.push({ message, resolve, reject });
if (state.items.length >= BATCH_SIZE) {
flushBatchForKey(partitionKey);
} else if (!state.timer) {
state.timer = setTimeout(() => {
state.timer = null;
flushBatchForKey(partitionKey);
}, BATCH_TIMEOUT_MS);
}
});
};
const consumers = createKafkaConsumers({
kafkaConfig: config.kafka,
onMessage: handleMessage,
onError: handleError
});
// Start retry worker (non-blocking)
startErrorRetryWorker({
client: redisClient,
queueKey: errorQueueKey,
redisIntegration,
handler: async (item) => {
if (!item?.value) {
throw new Error('Missing value in retry payload');
}
await handleMessage({ value: item.value });
}
}).catch(err => {
logger.error('Retry worker failed', { error: err?.message });
});
// Graceful Shutdown Logic
const shutdown = async (signal) => {
logger.info(`Received ${signal}, shutting down...`);
try {
// 1. Close Kafka Consumer
if (consumers && consumers.length > 0) {
await Promise.all(consumers.map(c => new Promise((resolve) => c.close(true, resolve))));
logger.info('Kafka consumer closed', { count: consumers.length });
}
// 2. Stop Redis Heartbeat (if method exists, otherwise just close client)
// redisIntegration.stopHeartbeat(); // Assuming implementation or just rely on client close
// 3. Close Redis Client
await redisClient.quit();
logger.info('Redis client closed');
// 4. Close Database Pools
await dbManager.close();
await g5DbManager.close();
logger.info('Database connection closed');
process.exit(0);
} catch (err) {
logger.error('Error during shutdown', { error: err?.message });
process.exit(1);
}
};
process.on('SIGTERM', () => shutdown('SIGTERM'));
process.on('SIGINT', () => shutdown('SIGINT'));
};
bootstrap().catch((error) => {
logger.error('Service bootstrap failed', { error: error?.message });
process.exit(1);
});

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import kafka from 'kafka-node';
import { logger } from '../utils/logger.js';
const { ConsumerGroup } = kafka;
import { OffsetTracker } from './offsetTracker.js';
const createOneConsumer = ({ kafkaConfig, onMessage, onError, instanceIndex }) => {
const kafkaHost = kafkaConfig.brokers.join(',');
const clientId = instanceIndex === 0 ? kafkaConfig.clientId : `${kafkaConfig.clientId}-${instanceIndex}`;
const id = `${clientId}-${process.pid}-${Date.now()}`;
const maxInFlight = Number.isFinite(kafkaConfig.maxInFlight) ? kafkaConfig.maxInFlight : 5000;
const commitIntervalMs = Number.isFinite(kafkaConfig.commitIntervalMs) ? kafkaConfig.commitIntervalMs : 200;
let inFlight = 0;
const tracker = new OffsetTracker();
let pendingCommits = new Map(); // key: `${topic}-${partition}` -> { topic, partition, offset }
let commitTimer = null;
const flushCommits = () => {
if (pendingCommits.size === 0) return;
const batch = pendingCommits;
pendingCommits = new Map();
consumer.sendOffsetCommitRequest(
Array.from(batch.values()),
(err) => {
if (err) {
for (const [k, v] of batch.entries()) {
pendingCommits.set(k, v);
}
logger.error('Kafka commit failed', { error: err?.message, count: batch.size });
}
}
);
};
const scheduleCommitFlush = () => {
if (commitTimer) return;
commitTimer = setTimeout(() => {
commitTimer = null;
flushCommits();
}, commitIntervalMs);
};
const consumer = new ConsumerGroup(
{
kafkaHost,
groupId: kafkaConfig.groupId,
clientId,
id,
fromOffset: 'earliest',
protocol: ['roundrobin'],
outOfRangeOffset: 'latest',
autoCommit: false,
autoCommitIntervalMs: kafkaConfig.autoCommitIntervalMs,
fetchMaxBytes: kafkaConfig.fetchMaxBytes,
fetchMinBytes: kafkaConfig.fetchMinBytes,
fetchMaxWaitMs: kafkaConfig.fetchMaxWaitMs,
sasl: kafkaConfig.sasl
},
kafkaConfig.topic
);
const tryResume = () => {
if (inFlight < maxInFlight && consumer.paused) {
consumer.resume();
}
};
consumer.on('message', (message) => {
inFlight += 1;
tracker.add(message.topic, message.partition, message.offset);
if (inFlight >= maxInFlight) {
consumer.pause();
}
Promise.resolve(onMessage(message))
.then(() => {})
.catch((error) => {
logger.error('Kafka message handling failed', { error: error?.message });
if (onError) {
onError(error, message);
}
})
.finally(() => {
const commitOffset = tracker.markDone(message.topic, message.partition, message.offset);
if (commitOffset !== null) {
const key = `${message.topic}-${message.partition}`;
pendingCommits.set(key, {
topic: message.topic,
partition: message.partition,
offset: commitOffset,
metadata: 'm'
});
scheduleCommitFlush();
}
inFlight -= 1;
tryResume();
});
});
consumer.on('error', (error) => {
logger.error('Kafka consumer error', { error: error?.message });
if (onError) {
onError(error);
}
});
consumer.on('connect', () => {
logger.info(`Kafka Consumer connected`, {
groupId: kafkaConfig.groupId,
clientId: clientId
});
});
consumer.on('rebalancing', () => {
logger.info(`Kafka Consumer rebalancing`, {
groupId: kafkaConfig.groupId,
clientId: clientId
});
tracker.clear();
pendingCommits.clear();
if (commitTimer) {
clearTimeout(commitTimer);
commitTimer = null;
}
});
consumer.on('rebalanced', () => {
logger.info('Kafka Consumer rebalanced', { clientId, groupId: kafkaConfig.groupId });
});
consumer.on('error', (err) => {
logger.error('Kafka Consumer Error', { error: err.message });
});
consumer.on('offsetOutOfRange', (err) => {
logger.warn('Offset out of range', { error: err.message, topic: err.topic, partition: err.partition });
});
consumer.on('offsetOutOfRange', (error) => {
logger.warn(`Kafka Consumer offset out of range`, {
error: error?.message,
groupId: kafkaConfig.groupId,
clientId: clientId
});
});
consumer.on('close', () => {
if (commitTimer) {
clearTimeout(commitTimer);
commitTimer = null;
}
flushCommits();
logger.warn(`Kafka Consumer closed`, {
groupId: kafkaConfig.groupId,
clientId: clientId
});
});
return consumer;
};
export const createKafkaConsumers = ({ kafkaConfig, onMessage, onError }) => {
const instances = Number.isFinite(kafkaConfig.consumerInstances) ? kafkaConfig.consumerInstances : 1;
const count = Math.max(1, instances);
return Array.from({ length: count }, (_, idx) =>
createOneConsumer({ kafkaConfig, onMessage, onError, instanceIndex: idx })
);
};
export const createKafkaConsumer = ({ kafkaConfig, onMessage, onError }) =>
createKafkaConsumers({ kafkaConfig, onMessage, onError })[0];

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export class OffsetTracker {
constructor() {
// Map<topic-partition, { nextCommitOffset: number|null, done: Set<number> }>
this.partitions = new Map();
}
// Called when a message is received (before processing)
add(topic, partition, offset) {
const key = `${topic}-${partition}`;
if (!this.partitions.has(key)) {
this.partitions.set(key, { nextCommitOffset: null, done: new Set() });
}
const state = this.partitions.get(key);
const numericOffset = Number(offset);
if (!Number.isFinite(numericOffset)) return;
if (state.nextCommitOffset === null) {
state.nextCommitOffset = numericOffset;
} else if (numericOffset < state.nextCommitOffset) {
state.nextCommitOffset = numericOffset;
}
}
// Called when a message is successfully processed
// Returns the next offset to commit (if any advancement is possible), or null
markDone(topic, partition, offset) {
const key = `${topic}-${partition}`;
const state = this.partitions.get(key);
if (!state) return null;
const numericOffset = Number(offset);
if (!Number.isFinite(numericOffset)) return null;
state.done.add(numericOffset);
if (state.nextCommitOffset === null) {
state.nextCommitOffset = numericOffset;
}
let advanced = false;
while (state.nextCommitOffset !== null && state.done.has(state.nextCommitOffset)) {
state.done.delete(state.nextCommitOffset);
state.nextCommitOffset += 1;
advanced = true;
}
if (!advanced) return null;
return state.nextCommitOffset;
}
clear() {
this.partitions.clear();
}
}

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import { createGuid } from '../utils/uuid.js';
import { kafkaPayloadSchema } from '../schema/kafkaPayload.js';
const parseKafkaPayload = (value) => {
const raw = Buffer.isBuffer(value) ? value.toString('utf8') : value;
if (typeof raw !== 'string') {
throw new Error('Invalid kafka message value');
}
return JSON.parse(raw);
};
const normalizeText = (value, maxLength) => {
if (value === undefined || value === null) {
return null;
}
const str = String(value);
if (maxLength && str.length > maxLength) {
return str.substring(0, maxLength);
}
return str;
};
export const buildRowsFromMessageValue = (value) => {
const payload = parseKafkaPayload(value);
return buildRowsFromPayload(payload);
};
export const buildRowsFromPayload = (rawPayload) => {
const payload = kafkaPayloadSchema.parse(rawPayload);
// Database limit is VARCHAR(255)
const rebootReason = normalizeText(payload.RebootReason, 255);
const currentStatusRaw = normalizeText(payload.CurrentStatus, 255);
const hasRebootReason = rebootReason !== null && rebootReason !== '';
const currentStatus = hasRebootReason ? 'on' : currentStatusRaw;
// Derive timestamp: UnixTime -> CurrentTime -> Date.now()
let tsMs = payload.UnixTime;
// Heuristic: If timestamp is small (e.g., < 100000000000), assume it's seconds and convert to ms
if (typeof tsMs === 'number' && tsMs < 100000000000) {
tsMs = tsMs * 1000;
}
if (!tsMs && payload.CurrentTime) {
const parsed = Date.parse(payload.CurrentTime);
if (!isNaN(parsed)) {
tsMs = parsed;
}
}
if (!tsMs) {
tsMs = Date.now();
}
// Ensure PK fields are not null
const mac = normalizeText(payload.MAC) || '';
const deviceId = normalizeText(payload.HostNumber) || '';
const roomId = normalizeText(payload.RoomNumber) || '';
// Handle hotel_id boundary for PostgreSQL smallint (-32768 to 32767)
let hotelId = payload.HotelCode;
if (typeof hotelId !== 'number' || Number.isNaN(hotelId) || hotelId < -32768 || hotelId > 32767) {
hotelId = 0;
}
const row = {
guid: createGuid(),
ts_ms: tsMs,
write_ts_ms: Date.now(),
hotel_id: hotelId,
mac: mac,
device_id: deviceId,
room_id: roomId,
ip: normalizeText(payload.EndPoint),
current_status: currentStatus,
launcher_version: normalizeText(payload.LauncherVersion, 255),
reboot_reason: rebootReason
};
return [row];
};
export const parseMessageToRows = (message) => {
const rawValue = message.value.toString();
// logger.info('Processing message', { offset: message.offset, rawValuePreview: rawValue.substring(0, 100) });
let payload;
try {
payload = JSON.parse(rawValue);
} catch (e) {
const error = new Error(`JSON Parse Error: ${e.message}`);
error.type = 'PARSE_ERROR';
throw error;
}
// logger.info('Payload parsed', { payload });
const validationResult = kafkaPayloadSchema.safeParse(payload);
if (!validationResult.success) {
const error = new Error(`Schema Validation Failed: ${JSON.stringify(validationResult.error.errors)}`);
error.type = 'VALIDATION_ERROR';
throw error;
}
return buildRowsFromPayload(payload);
};
export const processKafkaMessage = async ({ message, dbManager, config }) => {
let rows;
try {
rows = parseMessageToRows(message);
} catch (error) {
throw error;
}
try {
await dbManager.insertRows({ schema: config.db.schema, table: config.db.table, rows });
// if (rows.length > 0) {
// console.log(`Inserted ${rows.length} rows. Sample GUID: ${rows[0].guid}, TS: ${rows[0].ts_ms}`);
// }
} catch (error) {
error.type = 'DB_ERROR';
const sample = rows?.[0];
error.dbContext = {
rowsLength: rows?.length || 0,
sampleRow: sample
? {
guid: sample.guid,
ts_ms: sample.ts_ms,
mac: sample.mac,
device_id: sample.device_id,
room_id: sample.room_id,
current_status: sample.current_status
}
: null
};
throw error;
}
return rows.length;
};

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const normalizeHex = (hex) => {
if (typeof hex !== 'string') {
return '';
}
let cleaned = hex.trim().replace(/^0x/i, '').replace(/\s+/g, '');
if (cleaned.length % 2 === 1) {
cleaned = `0${cleaned}`;
}
return cleaned;
};
const toHex = (value) => `0x${value.toString(16).padStart(2, '0')}`;
const readUInt16 = (buffer, offset) => buffer.readUInt16BE(offset);
export const parse0x36 = (udpRaw) => {
const cleaned = normalizeHex(udpRaw);
const buffer = cleaned ? Buffer.from(cleaned, 'hex') : Buffer.alloc(0);
const sysLockStatus = buffer.length > 0 ? buffer[0] : null;
const reportCount = buffer.length > 7 ? buffer[7] : null;
let offset = 8;
const devices = [];
for (let i = 0; i < (reportCount || 0) && offset + 5 < buffer.length; i += 1) {
devices.push({
dev_type: buffer[offset],
dev_addr: buffer[offset + 1],
dev_loop: readUInt16(buffer, offset + 2),
dev_data: readUInt16(buffer, offset + 4)
});
offset += 6;
}
const faultCount = offset < buffer.length ? buffer[offset] : null;
offset += 1;
const faults = [];
for (let i = 0; i < (faultCount || 0) && offset + 5 < buffer.length; i += 1) {
faults.push({
fault_dev_type: buffer[offset],
fault_dev_addr: buffer[offset + 1],
fault_dev_loop: readUInt16(buffer, offset + 2),
error_type: buffer[offset + 4],
error_data: buffer[offset + 5]
});
offset += 6;
}
return {
sysLockStatus,
reportCount,
faultCount,
devices,
faults
};
};
export const parse0x0fDownlink = (udpRaw) => {
const cleaned = normalizeHex(udpRaw);
const buffer = cleaned ? Buffer.from(cleaned, 'hex') : Buffer.alloc(0);
const controlCount = buffer.length > 0 ? buffer[0] : null;
let offset = 1;
const controlParams = [];
for (let i = 0; i < (controlCount || 0) && offset + 5 < buffer.length; i += 1) {
const typeValue = readUInt16(buffer, offset + 4);
controlParams.push({
dev_type: buffer[offset],
dev_addr: buffer[offset + 1],
loop: readUInt16(buffer, offset + 2),
type: typeValue,
type_l: buffer[offset + 4],
type_h: buffer[offset + 5]
});
offset += 6;
}
return {
controlCount,
controlParams
};
};
export const parse0x0fAck = (udpRaw) => {
const cleaned = normalizeHex(udpRaw);
const buffer = cleaned ? Buffer.from(cleaned, 'hex') : Buffer.alloc(0);
const ackCode = buffer.length > 1 ? toHex(buffer[1]) : null;
return { ackCode };
};

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import { logger } from '../utils/logger.js';
export const buildErrorQueueKey = (projectName) => `${projectName}_error_queue`;
export const enqueueError = async (client, queueKey, payload) => {
try {
await client.rPush(queueKey, JSON.stringify(payload));
} catch (error) {
logger.error('Redis enqueue error failed', { error: error?.message });
throw error;
}
};
export const startErrorRetryWorker = async ({
client,
queueKey,
handler,
redisIntegration,
maxAttempts = 5
}) => {
while (true) {
const result = await client.blPop(queueKey, 0);
const raw = result?.element;
if (!raw) {
continue;
}
let item;
try {
item = JSON.parse(raw);
} catch (error) {
logger.error('Invalid error payload', { error: error?.message });
await redisIntegration.error('Invalid error payload', { module: 'redis', stack: error?.message });
continue;
}
const attempts = item.attempts || 0;
try {
await handler(item);
} catch (error) {
logger.error('Retry handler failed', { error: error?.message, stack: error?.stack });
const nextPayload = {
...item,
attempts: attempts + 1,
lastError: error?.message,
lastAttemptAt: Date.now()
};
if (nextPayload.attempts >= maxAttempts) {
await redisIntegration.error('Retry attempts exceeded', { module: 'retry', stack: JSON.stringify(nextPayload) });
} else {
await enqueueError(client, queueKey, nextPayload);
}
}
}
};

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import { createClient } from 'redis';
export const createRedisClient = async (config) => {
const client = createClient({
socket: {
host: config.host,
port: config.port
},
password: config.password,
database: config.db
});
await client.connect();
return client;
};

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export class RedisIntegration {
constructor(client, projectName, apiBaseUrl) {
this.client = client;
this.projectName = projectName;
this.apiBaseUrl = apiBaseUrl;
this.heartbeatKey = '项目心跳';
this.logKey = `${projectName}_项目控制台`;
}
async info(message, context) {
const payload = {
timestamp: new Date().toISOString(),
level: 'info',
message,
metadata: context || undefined
};
await this.client.rPush(this.logKey, JSON.stringify(payload));
}
async error(message, context) {
const payload = {
timestamp: new Date().toISOString(),
level: 'error',
message,
metadata: context || undefined
};
await this.client.rPush(this.logKey, JSON.stringify(payload));
}
startHeartbeat() {
setInterval(() => {
const payload = {
projectName: this.projectName,
apiBaseUrl: this.apiBaseUrl,
lastActiveAt: Date.now()
};
this.client.rPush(this.heartbeatKey, JSON.stringify(payload));
}, 3000);
}
}

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import { z } from 'zod';
const toNumber = (value) => {
if (value === undefined || value === null || value === '') {
return value;
}
if (typeof value === 'number') {
return value;
}
const parsed = Number(value);
return Number.isFinite(parsed) ? parsed : value;
};
const toStringAllowEmpty = (value) => {
if (value === undefined || value === null) {
return value;
}
return String(value);
};
export const kafkaPayloadSchema = z.object({
HotelCode: z.preprocess(toNumber, z.number()),
MAC: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
HostNumber: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
RoomNumber: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
EndPoint: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
CurrentStatus: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
CurrentTime: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
UnixTime: z.preprocess(toNumber, z.number().nullable()).optional().nullable(),
LauncherVersion: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable(),
RebootReason: z.preprocess(toStringAllowEmpty, z.string().nullable()).optional().nullable()
});

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const format = (level, message, context) => {
const payload = {
level,
message,
timestamp: Date.now(),
...(context ? { context } : {})
};
return JSON.stringify(payload);
};
export const logger = {
info(message, context) {
process.stdout.write(`${format('info', message, context)}\n`);
},
error(message, context) {
process.stderr.write(`${format('error', message, context)}\n`);
},
warn(message, context) {
process.stderr.write(`${format('warn', message, context)}\n`);
}
};

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export class MetricCollector {
constructor() {
this.reset();
}
reset() {
this.metrics = {
kafka_pulled: 0,
parse_error: 0,
db_inserted: 0,
db_failed: 0,
db_insert_count: 0,
db_insert_ms_sum: 0,
batch_flush_count: 0,
batch_flush_ms_sum: 0
};
this.keyed = {};
}
increment(metric, count = 1) {
if (this.metrics.hasOwnProperty(metric)) {
this.metrics[metric] += count;
}
}
incrementKeyed(metric, key, count = 1) {
if (!key) return;
if (!this.keyed[metric]) {
this.keyed[metric] = {};
}
if (!Object.prototype.hasOwnProperty.call(this.keyed[metric], key)) {
this.keyed[metric][key] = 0;
}
this.keyed[metric][key] += count;
}
getAndReset() {
const current = { ...this.metrics };
const keyed = JSON.parse(JSON.stringify(this.keyed));
this.reset();
return { ...current, keyed };
}
}

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import { randomUUID } from 'crypto';
export const createGuid = () => randomUUID().replace(/-/g, '');

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import { describe, it, expect } from 'vitest';
import { buildRowsFromPayload } from '../src/processor/index.js';
describe('Processor Logic', () => {
const basePayload = {
HotelCode: '1085',
MAC: '00:1A:2B:3C:4D:5E',
HostNumber: '091123987456',
RoomNumber: '8888房',
EndPoint: '50.2.60.1:6543',
CurrentStatus: 'off',
CurrentTime: '2026-02-02T10:30:00Z',
UnixTime: 1770000235000,
LauncherVersion: '1.0.0'
};
it('should validate required fields', () => {
expect(() => buildRowsFromPayload({})).toThrow();
expect(() => buildRowsFromPayload({ ...basePayload, HotelCode: undefined })).toThrow();
});
it('should use current_status from payload for non-reboot data', () => {
const rows = buildRowsFromPayload({ ...basePayload, RebootReason: null });
expect(rows).toHaveLength(1);
expect(rows[0].current_status).toBe('off');
expect(rows[0].reboot_reason).toBeNull();
});
it('should override current_status to on for reboot data', () => {
const rows = buildRowsFromPayload({ ...basePayload, CurrentStatus: 'off', RebootReason: '0x01' });
expect(rows).toHaveLength(1);
expect(rows[0].current_status).toBe('on');
expect(rows[0].reboot_reason).toBe('0x01');
});
it('should keep empty optional fields as empty strings', () => {
const rows = buildRowsFromPayload({
...basePayload,
LauncherVersion: '',
RebootReason: ''
});
expect(rows[0].launcher_version).toBe('');
expect(rows[0].reboot_reason).toBe('');
});
});

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