653 lines
17 KiB
Markdown
653 lines
17 KiB
Markdown
# Automated Documentation Generation
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You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
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## Context
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The user needs automated documentation generation that extracts information from code, creates clear explanations, and maintains consistency across documentation types. Focus on creating living documentation that stays synchronized with code.
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## Requirements
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$ARGUMENTS
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## How to Use This Tool
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This tool provides both **concise instructions** (what to create) and **detailed reference examples** (how to create it). Structure:
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- **Instructions**: High-level guidance and documentation types to generate
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- **Reference Examples**: Complete implementation patterns to adapt and use as templates
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## Instructions
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Generate comprehensive documentation by analyzing the codebase and creating the following artifacts:
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### 1. **API Documentation**
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- Extract endpoint definitions, parameters, and responses from code
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- Generate OpenAPI/Swagger specifications
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- Create interactive API documentation (Swagger UI, Redoc)
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- Include authentication, rate limiting, and error handling details
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### 2. **Architecture Documentation**
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- Create system architecture diagrams (Mermaid, PlantUML)
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- Document component relationships and data flows
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- Explain service dependencies and communication patterns
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- Include scalability and reliability considerations
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### 3. **Code Documentation**
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- Generate inline documentation and docstrings
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- Create README files with setup, usage, and contribution guidelines
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- Document configuration options and environment variables
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- Provide troubleshooting guides and code examples
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### 4. **User Documentation**
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- Write step-by-step user guides
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- Create getting started tutorials
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- Document common workflows and use cases
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- Include accessibility and localization notes
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### 5. **Documentation Automation**
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- Configure CI/CD pipelines for automatic doc generation
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- Set up documentation linting and validation
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- Implement documentation coverage checks
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- Automate deployment to hosting platforms
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### Quality Standards
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Ensure all generated documentation:
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- Is accurate and synchronized with current code
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- Uses consistent terminology and formatting
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- Includes practical examples and use cases
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- Is searchable and well-organized
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- Follows accessibility best practices
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## Reference Examples
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### Example 1: Code Analysis for Documentation
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**API Documentation Extraction**
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```python
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import ast
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from typing import Dict, List
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class APIDocExtractor:
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def extract_endpoints(self, code_path):
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"""Extract API endpoints and their documentation"""
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endpoints = []
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with open(code_path, 'r') as f:
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tree = ast.parse(f.read())
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for node in ast.walk(tree):
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if isinstance(node, ast.FunctionDef):
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for decorator in node.decorator_list:
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if self._is_route_decorator(decorator):
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endpoint = {
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'method': self._extract_method(decorator),
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'path': self._extract_path(decorator),
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'function': node.name,
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'docstring': ast.get_docstring(node),
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'parameters': self._extract_parameters(node),
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'returns': self._extract_returns(node)
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}
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endpoints.append(endpoint)
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return endpoints
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def _extract_parameters(self, func_node):
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"""Extract function parameters with types"""
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params = []
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for arg in func_node.args.args:
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param = {
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'name': arg.arg,
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'type': ast.unparse(arg.annotation) if arg.annotation else None,
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'required': True
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}
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params.append(param)
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return params
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```
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**Schema Extraction**
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```python
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def extract_pydantic_schemas(file_path):
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"""Extract Pydantic model definitions for API documentation"""
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schemas = []
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with open(file_path, 'r') as f:
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tree = ast.parse(f.read())
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for node in ast.walk(tree):
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if isinstance(node, ast.ClassDef):
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if any(base.id == 'BaseModel' for base in node.bases if hasattr(base, 'id')):
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schema = {
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'name': node.name,
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'description': ast.get_docstring(node),
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'fields': []
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}
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for item in node.body:
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if isinstance(item, ast.AnnAssign):
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field = {
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'name': item.target.id,
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'type': ast.unparse(item.annotation),
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'required': item.value is None
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}
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schema['fields'].append(field)
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schemas.append(schema)
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return schemas
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```
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### Example 2: OpenAPI Specification Generation
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**OpenAPI Template**
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```yaml
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openapi: 3.0.0
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info:
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title: ${API_TITLE}
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version: ${VERSION}
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description: |
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${DESCRIPTION}
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## Authentication
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${AUTH_DESCRIPTION}
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servers:
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- url: https://api.example.com/v1
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description: Production server
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security:
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- bearerAuth: []
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paths:
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/users:
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get:
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summary: List all users
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operationId: listUsers
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tags:
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- Users
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parameters:
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- name: page
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in: query
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schema:
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type: integer
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default: 1
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- name: limit
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in: query
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schema:
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type: integer
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default: 20
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maximum: 100
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responses:
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'200':
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description: Successful response
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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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data:
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type: array
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items:
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$ref: '#/components/schemas/User'
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pagination:
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$ref: '#/components/schemas/Pagination'
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'401':
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$ref: '#/components/responses/Unauthorized'
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components:
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schemas:
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User:
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type: object
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required:
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- id
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- email
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properties:
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id:
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type: string
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format: uuid
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email:
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type: string
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format: email
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name:
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type: string
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createdAt:
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type: string
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format: date-time
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```
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### Example 3: Architecture Diagrams
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**System Architecture (Mermaid)**
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```mermaid
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graph TB
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subgraph "Frontend"
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UI[React UI]
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Mobile[Mobile App]
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end
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subgraph "API Gateway"
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Gateway[Kong/nginx]
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Auth[Auth Service]
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end
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subgraph "Microservices"
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UserService[User Service]
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OrderService[Order Service]
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PaymentService[Payment Service]
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end
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subgraph "Data Layer"
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PostgresMain[(PostgreSQL)]
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Redis[(Redis Cache)]
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S3[S3 Storage]
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end
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UI --> Gateway
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Mobile --> Gateway
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Gateway --> Auth
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Gateway --> UserService
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Gateway --> OrderService
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OrderService --> PaymentService
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UserService --> PostgresMain
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UserService --> Redis
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OrderService --> PostgresMain
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```
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**Component Documentation**
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```markdown
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## User Service
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**Purpose**: Manages user accounts, authentication, and profiles
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**Technology Stack**:
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- Language: Python 3.11
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- Framework: FastAPI
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- Database: PostgreSQL
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- Cache: Redis
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- Authentication: JWT
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**API Endpoints**:
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- `POST /users` - Create new user
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- `GET /users/{id}` - Get user details
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- `PUT /users/{id}` - Update user
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- `POST /auth/login` - User login
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**Configuration**:
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```yaml
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user_service:
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port: 8001
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database:
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host: postgres.internal
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name: users_db
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jwt:
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secret: ${JWT_SECRET}
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expiry: 3600
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```
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```
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### Example 4: README Generation
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**README Template**
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```markdown
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# ${PROJECT_NAME}
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${BADGES}
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${SHORT_DESCRIPTION}
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## Features
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${FEATURES_LIST}
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## Installation
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### Prerequisites
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- Python 3.8+
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- PostgreSQL 12+
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- Redis 6+
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### Using pip
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```bash
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pip install ${PACKAGE_NAME}
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```
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### From source
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```bash
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git clone https://github.com/${GITHUB_ORG}/${REPO_NAME}.git
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cd ${REPO_NAME}
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pip install -e .
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```
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## Quick Start
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```python
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${QUICK_START_CODE}
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```
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## Configuration
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### Environment Variables
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| Variable | Description | Default | Required |
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|----------|-------------|---------|----------|
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| DATABASE_URL | PostgreSQL connection string | - | Yes |
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| REDIS_URL | Redis connection string | - | Yes |
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| SECRET_KEY | Application secret key | - | Yes |
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## Development
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```bash
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# Clone and setup
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git clone https://github.com/${GITHUB_ORG}/${REPO_NAME}.git
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cd ${REPO_NAME}
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python -m venv venv
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source venv/bin/activate
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# Install dependencies
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pip install -r requirements-dev.txt
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# Run tests
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pytest
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# Start development server
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python manage.py runserver
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```
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## Testing
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```bash
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# Run all tests
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pytest
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# Run with coverage
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pytest --cov=your_package
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```
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## Contributing
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1. Fork the repository
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2. Create a feature branch (`git checkout -b feature/amazing-feature`)
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3. Commit your changes (`git commit -m 'Add amazing feature'`)
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4. Push to the branch (`git push origin feature/amazing-feature`)
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5. Open a Pull Request
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## License
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This project is licensed under the ${LICENSE} License - see the [LICENSE](LICENSE) file for details.
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```
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### Example 5: Function Documentation Generator
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```python
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import inspect
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def generate_function_docs(func):
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"""Generate comprehensive documentation for a function"""
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sig = inspect.signature(func)
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params = []
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args_doc = []
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for param_name, param in sig.parameters.items():
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param_str = param_name
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if param.annotation != param.empty:
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param_str += f": {param.annotation.__name__}"
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if param.default != param.empty:
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param_str += f" = {param.default}"
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params.append(param_str)
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args_doc.append(f"{param_name}: Description of {param_name}")
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return_type = ""
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if sig.return_annotation != sig.empty:
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return_type = f" -> {sig.return_annotation.__name__}"
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doc_template = f'''
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def {func.__name__}({", ".join(params)}){return_type}:
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"""
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Brief description of {func.__name__}
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Args:
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{chr(10).join(f" {arg}" for arg in args_doc)}
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Returns:
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Description of return value
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Examples:
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>>> {func.__name__}(example_input)
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expected_output
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"""
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'''
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return doc_template
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```
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### Example 6: User Guide Template
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```markdown
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# User Guide
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## Getting Started
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### Creating Your First ${FEATURE}
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1. **Navigate to the Dashboard**
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Click on the ${FEATURE} tab in the main navigation menu.
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2. **Click "Create New"**
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You'll find the "Create New" button in the top right corner.
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3. **Fill in the Details**
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- **Name**: Enter a descriptive name
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- **Description**: Add optional details
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- **Settings**: Configure as needed
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4. **Save Your Changes**
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Click "Save" to create your ${FEATURE}.
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### Common Tasks
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#### Editing ${FEATURE}
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1. Find your ${FEATURE} in the list
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2. Click the "Edit" button
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3. Make your changes
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4. Click "Save"
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#### Deleting ${FEATURE}
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> ⚠️ **Warning**: Deletion is permanent and cannot be undone.
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1. Find your ${FEATURE} in the list
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2. Click the "Delete" button
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3. Confirm the deletion
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### Troubleshooting
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| Error | Meaning | Solution |
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|-------|---------|----------|
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| "Name required" | The name field is empty | Enter a name |
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| "Permission denied" | You don't have access | Contact admin |
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| "Server error" | Technical issue | Try again later |
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```
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### Example 7: Interactive API Playground
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**Swagger UI Setup**
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```html
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<!DOCTYPE html>
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<html>
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<head>
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<title>API Documentation</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/swagger-ui-dist@latest/swagger-ui.css">
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</head>
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<body>
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<div id="swagger-ui"></div>
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<script src="https://cdn.jsdelivr.net/npm/swagger-ui-dist@latest/swagger-ui-bundle.js"></script>
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<script>
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window.onload = function() {
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SwaggerUIBundle({
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url: "/api/openapi.json",
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dom_id: '#swagger-ui',
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deepLinking: true,
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presets: [SwaggerUIBundle.presets.apis],
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layout: "StandaloneLayout"
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});
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}
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</script>
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</body>
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</html>
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```
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**Code Examples Generator**
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```python
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def generate_code_examples(endpoint):
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"""Generate code examples for API endpoints in multiple languages"""
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examples = {}
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# Python
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examples['python'] = f'''
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import requests
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url = "https://api.example.com{endpoint['path']}"
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headers = {{"Authorization": "Bearer YOUR_API_KEY"}}
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response = requests.{endpoint['method'].lower()}(url, headers=headers)
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print(response.json())
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'''
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# JavaScript
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examples['javascript'] = f'''
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const response = await fetch('https://api.example.com{endpoint['path']}', {{
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method: '{endpoint['method']}',
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headers: {{'Authorization': 'Bearer YOUR_API_KEY'}}
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}});
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const data = await response.json();
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console.log(data);
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'''
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# cURL
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examples['curl'] = f'''
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curl -X {endpoint['method']} https://api.example.com{endpoint['path']} \\
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-H "Authorization: Bearer YOUR_API_KEY"
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'''
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return examples
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```
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### Example 8: Documentation CI/CD
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**GitHub Actions Workflow**
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```yaml
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name: Generate Documentation
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on:
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push:
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branches: [main]
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paths:
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- 'src/**'
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- 'api/**'
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jobs:
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generate-docs:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: '3.11'
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- name: Install dependencies
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run: |
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pip install -r requirements-docs.txt
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npm install -g @redocly/cli
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- name: Generate API documentation
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run: |
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python scripts/generate_openapi.py > docs/api/openapi.json
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redocly build-docs docs/api/openapi.json -o docs/api/index.html
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- name: Generate code documentation
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run: sphinx-build -b html docs/source docs/build
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- name: Deploy to GitHub Pages
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uses: peaceiris/actions-gh-pages@v3
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with:
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github_token: ${{ secrets.GITHUB_TOKEN }}
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publish_dir: ./docs/build
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```
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### Example 9: Documentation Coverage Validation
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```python
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import ast
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import glob
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class DocCoverage:
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def check_coverage(self, codebase_path):
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"""Check documentation coverage for codebase"""
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results = {
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'total_functions': 0,
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'documented_functions': 0,
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'total_classes': 0,
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'documented_classes': 0,
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'missing_docs': []
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}
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for file_path in glob.glob(f"{codebase_path}/**/*.py", recursive=True):
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module = ast.parse(open(file_path).read())
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for node in ast.walk(module):
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if isinstance(node, ast.FunctionDef):
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results['total_functions'] += 1
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if ast.get_docstring(node):
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results['documented_functions'] += 1
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else:
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results['missing_docs'].append({
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'type': 'function',
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'name': node.name,
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'file': file_path,
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'line': node.lineno
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})
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elif isinstance(node, ast.ClassDef):
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results['total_classes'] += 1
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if ast.get_docstring(node):
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results['documented_classes'] += 1
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else:
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results['missing_docs'].append({
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'type': 'class',
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'name': node.name,
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'file': file_path,
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'line': node.lineno
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})
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# Calculate coverage percentages
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results['function_coverage'] = (
|
|
results['documented_functions'] / results['total_functions'] * 100
|
|
if results['total_functions'] > 0 else 100
|
|
)
|
|
results['class_coverage'] = (
|
|
results['documented_classes'] / results['total_classes'] * 100
|
|
if results['total_classes'] > 0 else 100
|
|
)
|
|
|
|
return results
|
|
```
|
|
|
|
## Output Format
|
|
|
|
1. **API Documentation**: OpenAPI spec with interactive playground
|
|
2. **Architecture Diagrams**: System, sequence, and component diagrams
|
|
3. **Code Documentation**: Inline docs, docstrings, and type hints
|
|
4. **User Guides**: Step-by-step tutorials
|
|
5. **Developer Guides**: Setup, contribution, and API usage guides
|
|
6. **Reference Documentation**: Complete API reference with examples
|
|
7. **Documentation Site**: Deployed static site with search functionality
|
|
|
|
Focus on creating documentation that is accurate, comprehensive, and easy to maintain alongside code changes.
|