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