152 lines
5.9 KiB
Markdown
152 lines
5.9 KiB
Markdown
# BeijingYounuoApiAppService Enhancement Summary
|
|
|
|
## Overview
|
|
Enhanced the `BeijingYounuoApiAppService` class to provide business-oriented methods that follow SOMS patterns and perform data correlation and analysis before making external API calls.
|
|
|
|
## Key Changes Made
|
|
|
|
### 1. Interface Implementation Fix
|
|
- **Before**: Implemented `IBeijingYounuoApiService` (which didn't exist)
|
|
- **After**: Now correctly implements `IBeijingYounuoApi`
|
|
|
|
### 2. Added Business-Oriented Methods
|
|
|
|
#### 2.1 Equipment-Based Digital Twin Query
|
|
```csharp
|
|
Task<RequestResult<List<BeijingYounuoDigitalTwinApiItem>>> GetDigitalTwinsByEquipmentAsync(Guid equipmentId, CancellationToken cancellationToken = default)
|
|
```
|
|
- **Purpose**: Query digital twin data based on equipment ID
|
|
- **Business Logic**: Constructs API query with equipment-specific filters
|
|
- **Returns**: `RequestResult<T>` following SOMS patterns
|
|
|
|
#### 2.2 Equipment Alarm Management
|
|
```csharp
|
|
Task<RequestResult<bool>> PushEquipmentAlarmsAsync(List<AlarmDataOutput> alarmDataList, CancellationToken cancellationToken = default)
|
|
```
|
|
- **Purpose**: Push alarm data using business objects instead of raw JSON
|
|
- **Data Transformation**: Converts `AlarmDataOutput` to Beijing Younuo API format
|
|
- **Features**:
|
|
- Maps SOMS alarm levels to Beijing Younuo severity levels
|
|
- Generates appropriate twinID based on business rules
|
|
- Includes comprehensive logging
|
|
|
|
#### 2.3 Equipment Alarm Synchronization
|
|
```csharp
|
|
Task<RequestResult<string>> SynchronizeEquipmentAlarmsAsync(Guid equipmentId, List<AlarmDataOutput> alarmDataList, CancellationToken cancellationToken = default)
|
|
```
|
|
- **Purpose**: Complete alarm synchronization for a specific equipment
|
|
- **Business Logic**:
|
|
1. Clears existing alarms for the equipment
|
|
2. Pushes new alarm data if provided
|
|
3. Provides detailed operation results
|
|
|
|
#### 2.4 Data Correlation and Analysis
|
|
```csharp
|
|
Task<RequestResult<List<MultiAttributeDigitalTwinDto>>> CorrelateDigitalTwinDataAsync(List<BeijingYounuoDigitalTwinApiItem> digitalTwinData, CancellationToken cancellationToken = default)
|
|
```
|
|
- **Purpose**: Correlate external API data with local business entities
|
|
- **Features**:
|
|
- Transforms API data to business DTOs
|
|
- Applies business rules and validation
|
|
- Handles individual item failures gracefully
|
|
- Provides detailed correlation results
|
|
|
|
#### 2.5 Equipment Dynamics Data Push
|
|
```csharp
|
|
Task<RequestResult<bool>> PushEquipmentDynamicsAsync(List<EquipmentDataModel> equipmentDataList, CancellationToken cancellationToken = default)
|
|
```
|
|
- **Purpose**: Push equipment telemetry and telesignaling data
|
|
- **Data Transformation**:
|
|
- Converts `EquipmentDataModel` to Beijing Younuo dynamics format
|
|
- Handles both telemetering and telesignaling data
|
|
- Maintains data quality and timestamp information
|
|
|
|
#### 2.6 Enhanced Connection Testing
|
|
```csharp
|
|
Task<RequestResult<object>> TestConnectionDetailedAsync(CancellationToken cancellationToken = default)
|
|
```
|
|
- **Purpose**: Comprehensive connection testing with detailed results
|
|
- **Features**:
|
|
- Tests Token authentication
|
|
- Tests API connectivity
|
|
- Tests Elasticsearch configuration
|
|
- Returns detailed status information
|
|
|
|
### 3. Enhanced Error Handling and Logging
|
|
- All new methods follow SOMS patterns with `RequestResult<T>` return types
|
|
- Comprehensive error handling with try-catch blocks
|
|
- Detailed logging using `Log4Helper` at appropriate levels
|
|
- Business exception handling with meaningful error messages
|
|
|
|
### 4. Data Transformation Logic
|
|
- **Alarm Level Mapping**: Maps SOMS alarm levels (1-4) to Beijing Younuo severity levels
|
|
- **TwinID Generation**: Creates consistent twinID format based on equipment IDs
|
|
- **Data Format Conversion**: Transforms business objects to API-specific formats
|
|
- **Quality Preservation**: Maintains data quality indicators during transformation
|
|
|
|
### 5. Business Rule Implementation
|
|
- Equipment-based data filtering and correlation
|
|
- Alarm status management (active/inactive)
|
|
- Data validation and cleansing
|
|
- Timestamp standardization
|
|
|
|
## Benefits of Enhancement
|
|
|
|
### 1. Improved Maintainability
|
|
- Business logic separated from API communication
|
|
- Clear method signatures that reflect business intent
|
|
- Consistent error handling patterns
|
|
|
|
### 2. Better Integration
|
|
- Methods accept business domain objects instead of raw JSON
|
|
- Proper data correlation with local equipment information
|
|
- Follows established SOMS architectural patterns
|
|
|
|
### 3. Enhanced Reliability
|
|
- Comprehensive error handling and logging
|
|
- Graceful handling of partial failures
|
|
- Detailed operation results for troubleshooting
|
|
|
|
### 4. Business-Oriented Design
|
|
- Methods designed around business use cases
|
|
- Data transformation based on business rules
|
|
- Equipment-centric approach to data management
|
|
|
|
## Usage Examples
|
|
|
|
### Push Equipment Alarms
|
|
```csharp
|
|
var alarms = new List<AlarmDataOutput> { /* alarm data */ };
|
|
var result = await beijingYounuoService.PushEquipmentAlarmsAsync(alarms);
|
|
if (result.Flag)
|
|
{
|
|
// Success handling
|
|
}
|
|
```
|
|
|
|
### Synchronize Equipment Data
|
|
```csharp
|
|
var equipmentId = Guid.NewGuid();
|
|
var alarms = GetEquipmentAlarms(equipmentId);
|
|
var result = await beijingYounuoService.SynchronizeEquipmentAlarmsAsync(equipmentId, alarms);
|
|
```
|
|
|
|
### Correlate Digital Twin Data
|
|
```csharp
|
|
var apiData = await beijingYounuoService.GetDigitalTwinDataAsync();
|
|
var correlatedData = await beijingYounuoService.CorrelateDigitalTwinDataAsync(apiData.Data);
|
|
```
|
|
|
|
## Next Steps
|
|
1. Test the enhanced methods with actual Beijing Younuo API endpoints
|
|
2. Implement additional business rules based on specific requirements
|
|
3. Add unit tests for the new business methods
|
|
4. Consider adding caching for frequently accessed data
|
|
5. Implement batch processing for large data sets
|
|
|
|
## Notes
|
|
- All existing methods remain unchanged to maintain backward compatibility
|
|
- New methods are clearly marked in the "业务导向的增强方法" region
|
|
- The enhancement follows SOMS coding standards and patterns
|
|
- Proper dependency injection and configuration management maintained
|