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# Description Please include a summary of the changes and the related issue. Please also include relevant motivation and context. ## Checklist before requesting a review Please delete options that are not relevant. - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my code - [ ] I have commented hard-to-understand areas - [ ] I have ideally added tests that prove my fix is effective or that my feature works - [ ] New and existing unit tests pass locally with my changes - [ ] Any dependent changes have been merged ## Screenshots (if appropriate):
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
import os
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from uuid import UUID
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from celery_worker import process_file_and_notify
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from fastapi import HTTPException, UploadFile
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from modules.brain.entity.brain_entity import RoleEnum
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from modules.brain.service.brain_authorization_service import (
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validate_brain_authorization,
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)
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from modules.knowledge.dto.inputs import CreateKnowledgeProperties
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from modules.knowledge.service.knowledge_service import KnowledgeService
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from modules.notification.dto.inputs import (
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CreateNotification,
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NotificationUpdatableProperties,
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)
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from modules.notification.entity.notification import NotificationsStatusEnum
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from modules.notification.service.notification_service import NotificationService
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from modules.upload.service.upload_file import upload_file_storage
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from modules.user.service.user_usage import UserUsage
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from packages.files.file import convert_bytes, get_file_size
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from packages.utils.telemetry import maybe_send_telemetry
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knowledge_service = KnowledgeService()
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notification_service = NotificationService()
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async def upload_file(
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upload_file: UploadFile,
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brain_id: UUID,
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current_user: str,
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):
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validate_brain_authorization(
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brain_id, current_user, [RoleEnum.Editor, RoleEnum.Owner]
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)
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user_daily_usage = UserUsage(
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id=current_user,
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)
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upload_notification = notification_service.add_notification(
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CreateNotification(
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user_id=current_user,
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status=NotificationsStatusEnum.INFO,
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title=f"Processing File {upload_file.filename}",
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)
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)
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user_settings = user_daily_usage.get_user_settings()
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remaining_free_space = user_settings.get("max_brain_size", 1000000000)
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maybe_send_telemetry("upload_file", {"file_name": upload_file.filename})
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file_size = get_file_size(upload_file)
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if remaining_free_space - file_size < 0:
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message = f"Brain will exceed maximum capacity. Maximum file allowed is : {convert_bytes(remaining_free_space)}"
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raise HTTPException(status_code=403, detail=message)
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file_content = await upload_file.read()
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filename_with_brain_id = str(brain_id) + "/" + str(upload_file.filename)
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try:
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file_in_storage = upload_file_storage(file_content, filename_with_brain_id)
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except Exception as e:
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print(e)
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notification_service.update_notification_by_id(
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upload_notification.id if upload_notification else None,
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NotificationUpdatableProperties(
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status=NotificationsStatusEnum.ERROR,
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description=f"There was an error uploading the file: {e}",
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),
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)
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if "The resource already exists" in str(e):
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raise HTTPException(
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status_code=403,
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detail=f"File {upload_file.filename} already exists in storage.",
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)
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else:
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raise HTTPException(
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status_code=500, detail=f"Failed to upload file to storage. {e}"
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)
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knowledge_to_add = CreateKnowledgeProperties(
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brain_id=brain_id,
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file_name=upload_file.filename,
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extension=os.path.splitext(
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upload_file.filename # pyright: ignore reportPrivateUsage=none
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)[-1].lower(),
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)
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added_knowledge = knowledge_service.add_knowledge(knowledge_to_add)
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process_file_and_notify.delay(
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file_name=filename_with_brain_id,
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file_original_name=upload_file.filename,
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brain_id=brain_id,
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notification_id=upload_notification.id,
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)
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return {"message": "File processing has started."}
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