(fix) Umbau zu SCS
### 1.1 OpenAPI-Dokumentation implementieren - Swagger/OpenAPI in bestehenden Ktor-Diensten integrieren - Zentrale API-Dokumentationsseite im API-Gateway erstellen - CI/CD-Pipeline um automatische API-Dokumentationsgenerierung erweitern - Entwickler-Guidelines für API-Dokumentation erstellen
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# API Documentation Example
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This document demonstrates how to apply the API documentation guidelines to a new endpoint. It serves as a practical example for developers to follow when documenting their own API endpoints.
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## Example Scenario
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Let's say we're adding a new endpoint to the Horse Registry context that allows users to search for horses by multiple criteria.
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## Step 1: Implement the API Endpoint
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First, we would implement the endpoint in the appropriate route file:
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```kotlin
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// In HorseRoutes.kt
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route("/api/horses") {
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// Other endpoints...
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// Advanced search endpoint
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get("/advanced-search") {
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// Parameter validation
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val name = call.request.queryParameters["name"]
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val breed = call.request.queryParameters["breed"]
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val minAge = call.request.queryParameters["minAge"]?.toIntOrNull()
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val maxAge = call.request.queryParameters["maxAge"]?.toIntOrNull()
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val gender = call.request.queryParameters["gender"]
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val ownerName = call.request.queryParameters["ownerName"]
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// Call service to perform search
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val horses = horseService.advancedSearch(
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name = name,
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breed = breed,
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minAge = minAge,
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maxAge = maxAge,
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gender = gender,
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ownerName = ownerName
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)
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// Return response
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call.respond(
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ApiResponse.success(
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data = horses,
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message = "Horses retrieved successfully"
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)
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)
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}
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}
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```
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## Step 2: Document the Endpoint in OpenAPI Specification
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Following our API documentation guidelines, we would add the following to the OpenAPI specification file (`documentation.yaml`):
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```yaml
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/api/horses/advanced-search:
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get:
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tags:
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- Horse Registry
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summary: Advanced Horse Search
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description: |
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Searches for horses using multiple optional criteria.
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Returns a list of horses matching the specified criteria.
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If no criteria are provided, returns all horses (subject to pagination).
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operationId: advancedSearchHorses
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parameters:
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- name: name
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in: query
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description: Full or partial horse name to search for
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required: false
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schema:
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type: string
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example: "Maestoso"
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- name: breed
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in: query
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description: Horse breed
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required: false
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schema:
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type: string
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example: "Lipizzaner"
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- name: minAge
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in: query
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description: Minimum age in years
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required: false
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schema:
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type: integer
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format: int32
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minimum: 0
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example: 3
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- name: maxAge
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in: query
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description: Maximum age in years
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required: false
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schema:
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type: integer
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format: int32
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minimum: 0
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example: 15
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- name: gender
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in: query
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description: Horse gender
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required: false
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schema:
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type: string
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enum: [STALLION, MARE, GELDING]
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example: "MARE"
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- name: ownerName
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in: query
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description: Full or partial name of the horse's owner
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required: false
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schema:
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type: string
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example: "Schmidt"
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security:
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- bearerAuth: []
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responses:
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'200':
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description: Successful operation
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content:
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application/json:
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schema:
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type: object
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properties:
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success:
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type: boolean
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example: true
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data:
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type: array
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items:
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$ref: '#/components/schemas/HorseResponse'
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message:
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type: string
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example: "Horses retrieved successfully"
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timestamp:
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type: string
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format: date-time
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example: "2024-07-21T13:35:00Z"
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example:
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success: true
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data: [
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{
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"id": "550e8400-e29b-41d4-a716-446655440000",
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"name": "Maestoso Mara",
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"birthYear": 2015,
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"breed": "Lipizzaner",
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"color": "Grey",
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"gender": "MARE",
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"feiRegistered": true,
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"ownerId": "550e8400-e29b-41d4-a716-446655440001",
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"active": true
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},
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{
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"id": "550e8400-e29b-41d4-a716-446655440002",
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"name": "Maestoso Belvedere",
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"birthYear": 2018,
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"breed": "Lipizzaner",
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"color": "Grey",
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"gender": "STALLION",
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"feiRegistered": false,
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"ownerId": "550e8400-e29b-41d4-a716-446655440001",
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"active": true
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}
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]
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message: "Horses retrieved successfully"
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timestamp: "2024-07-21T13:35:00Z"
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'400':
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description: Invalid parameters
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/ErrorResponse'
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'401':
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description: Unauthorized - Authentication required
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/ErrorResponse'
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'403':
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description: Forbidden - Insufficient permissions
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content:
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application/json:
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schema:
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$ref: '#/components/schemas/ErrorResponse'
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```
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## Step 3: Generate and Validate Documentation
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After updating the OpenAPI specification, we would generate and validate the documentation:
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```bash
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# Generate API documentation
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./gradlew :api-gateway:generateApiDocs
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# Validate OpenAPI specification
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./gradlew :api-gateway:validateOpenApi
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```
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## Step 4: Test the Documentation
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Finally, we would test the documentation by:
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1. Starting the API Gateway:
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```bash
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./gradlew :api-gateway:run
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```
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2. Accessing Swagger UI at `http://localhost:8080/swagger`
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3. Testing the new endpoint through the Swagger UI interface
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4. Verifying that the documentation accurately represents the API behavior
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## Summary
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This example demonstrates how to apply the API documentation guidelines to a new endpoint. By following these steps, we ensure that:
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1. The endpoint is well-documented with clear descriptions
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2. All parameters are properly documented with types and examples
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3. All possible responses are documented with status codes and examples
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4. The documentation is validated and tested
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5. The documentation is consistent with the rest of the API
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This approach makes it easier for other developers, testers, and API consumers to understand and use the API.
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