| from app.config import get_settings |
| from app.schemas.requests import ExtractionRequest, FollowSchemaRequest |
| from app.schemas.schema_tools import validate_json_schema |
| from app.utils.logger import setup_logger |
|
|
| logger = setup_logger(__name__) |
| settings = get_settings() |
|
|
|
|
| def validate_extract_request(request: ExtractionRequest): |
| """Validate the request to extract attributes.""" |
| request.max_attempts = max(request.max_attempts, 1) |
| request.max_attempts = min(request.max_attempts, 5) |
|
|
| |
| if len(request.img_urls) > 10: |
| logger.warning( |
| f"Number of images exceeds 10: {len(request.img_urls)}. Limiting to 10." |
| ) |
| request.img_urls = request.img_urls[:10] |
|
|
| for url in request.img_urls: |
| if not url.startswith("http"): |
| raise ValueError(f"Invalid URL: {url}") |
|
|
| |
|
|
| if request.ai_model.lower() not in settings.SUPPORTED_MODELS: |
| raise ValueError( |
| f"Invalid ai_model: {request.ai_model}, only support {settings.SUPPORTED_MODELS}" |
| ) |
|
|
|
|
| def validate_follow_request(request: FollowSchemaRequest): |
| """Validate the request to follow a schema.""" |
| request.max_attempts = max(request.max_attempts, 1) |
| request.max_attempts = min(request.max_attempts, 5) |
|
|
| validate_json_schema(request.data_schema) |
|
|
| if request.ai_model.lower() not in settings.SUPPORTED_MODELS: |
| raise ValueError( |
| f"Invalid ai_model: {request.ai_model}, only support {settings.SUPPORTED_MODELS}" |
| ) |
|
|