Artem Kashaev
800dee31b2
- Added boto3 as a dependency in pyproject.toml and uv.lock. - Introduced multiple new exercise images in various formats (jpg, webp, avif, png). - Added new machine images to enhance the workout assets library.
60 lines
1.6 KiB
Python
60 lines
1.6 KiB
Python
import pathlib
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import uuid
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import boto3
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from fastapi import HTTPException, UploadFile, status
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from app.core import settings
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ALLOWED_CONTENT_TYPES = {
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"image/jpeg": ".jpg",
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"image/png": ".png",
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"image/webp": ".webp",
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"image/avif": ".avif",
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}
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def s3_client():
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return boto3.client(
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"s3",
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endpoint_url=settings.s3_endpoint_url,
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aws_access_key_id=settings.s3_access_key_id,
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aws_secret_access_key=settings.s3_secret_access_key,
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region_name=settings.s3_region,
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)
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async def upload_catalog_image(
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file: UploadFile,
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user_id: uuid.UUID,
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entity_type: str,
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) -> dict[str, str]:
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if file.content_type not in ALLOWED_CONTENT_TYPES:
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raise HTTPException(
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status_code=status.HTTP_415_UNSUPPORTED_MEDIA_TYPE,
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detail="Only JPEG, PNG and WEBP images are supported",
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)
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content = await file.read()
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if len(content) > settings.max_upload_bytes:
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raise HTTPException(
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status_code=status.HTTP_413_REQUEST_ENTITY_TOO_LARGE,
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detail="File is too large",
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)
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extension = ALLOWED_CONTENT_TYPES[file.content_type]
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original_stem = pathlib.Path(file.filename or "image").stem[:48]
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object_key = f"users/{user_id}/{entity_type}/pending/{uuid.uuid4()}-{original_stem}{extension}"
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s3_client().put_object(
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Bucket=settings.s3_bucket,
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Key=object_key,
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Body=content,
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ContentType=file.content_type,
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)
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public_base = settings.s3_public_base_url.rstrip("/")
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return {
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"image_s3_key": object_key,
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"image_s3_url": f"{public_base}/{settings.s3_bucket}/{object_key}",
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}
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