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Browse files- src/.DS_Store +0 -0
- src/firebase/firebase_provider.py +64 -45
src/.DS_Store
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Binary files a/src/.DS_Store and b/src/.DS_Store differ
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src/firebase/firebase_provider.py
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@@ -6,7 +6,7 @@ from PIL import Image
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import io
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import aiofiles
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import asyncio
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from typing import List
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from datetime import datetime
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import pytz
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@@ -14,14 +14,15 @@ import pytz
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import asyncio
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import functools
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def upload_file_to_storage_sync(file_path, file_name):
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"""
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Synchronous function to upload a file to Firebase Storage.
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-
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param:
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file_path: str - The path of the file on the local machine to be uploaded.
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file_name: str - The name of the file in Firebase Storage.
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-
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return:
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str - The public URL of the uploaded file.
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"""
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@@ -31,26 +32,28 @@ def upload_file_to_storage_sync(file_path, file_name):
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return blob.public_url
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async def upload_file_to_storage(file_path: str, file_name: str) -> str:
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"""
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Asynchronous wrapper to upload a file to Firebase Storage using a thread pool.
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param:
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file_path: str - The path of the file on the local machine to be uploaded.
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file_name: str - The name of the file in Firebase Storage.
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return:
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str - The public URL of the uploaded file.
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"""
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loop = asyncio.get_event_loop()
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# Run the synchronous `upload_file_to_storage_sync` in a thread pool.
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public_url = await loop.run_in_executor(
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return public_url
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def delete_file_from_storage(file_name):
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"""
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Delete a file from Firebase Storage
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@@ -98,60 +101,76 @@ def download_file_from_storage(file_name, destination_path):
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return False
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async def upload_base64_image_to_storage(
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"""
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Upload a base64 image to Firebase Storage.
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base64_image: str - The base64 encoded image
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file_name: str - The name of the file to be uploaded
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str - The public URL of the uploaded file
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"""
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try:
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#
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image =
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temp_file_path = f"{tempfile.gettempdir()}/{file_name}.jpg"
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return public_url
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except Exception as e:
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print("Error:
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return None
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tasks = []
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for idx, base64_image in enumerate(base64_images):
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timestamp = (
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datetime.now(pytz.timezone("Asia/Ho_Chi_Minh"))
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.replace(tzinfo=None)
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.strftime("%Y-%m-%
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)
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base64.urlsafe_b64encode(timestamp.encode()).decode().rstrip("=")
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)
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file_name = f"image_{encoded_timestamp}_{idx}"
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tasks.append(upload_base64_image_to_storage(base64_image, file_name))
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final_output = await asyncio.gather(*tasks)
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# Check the output for debugging
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print("final_output", final_output) # Print the final output for debugging
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return final_output
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import io
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import aiofiles
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import asyncio
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from typing import List, Optional
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from datetime import datetime
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import pytz
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import asyncio
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import functools
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+
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def upload_file_to_storage_sync(file_path, file_name):
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"""
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Synchronous function to upload a file to Firebase Storage.
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param:
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file_path: str - The path of the file on the local machine to be uploaded.
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file_name: str - The name of the file in Firebase Storage.
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return:
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str - The public URL of the uploaded file.
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"""
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return blob.public_url
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async def upload_file_to_storage(file_path: str, file_name: str) -> str:
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"""
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Asynchronous wrapper to upload a file to Firebase Storage using a thread pool.
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param:
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file_path: str - The path of the file on the local machine to be uploaded.
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file_name: str - The name of the file in Firebase Storage.
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return:
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str - The public URL of the uploaded file.
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"""
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loop = asyncio.get_event_loop()
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# Run the synchronous `upload_file_to_storage_sync` in a thread pool.
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public_url = await loop.run_in_executor(
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None, functools.partial(upload_file_to_storage_sync, file_path, file_name)
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)
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return public_url
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def delete_file_from_storage(file_name):
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"""
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Delete a file from Firebase Storage
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return False
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async def upload_base64_image_to_storage(
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base64_image: str, file_name: str
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) -> Optional[str]:
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"""
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Upload a base64 image to Firebase Storage asynchronously.
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Args:
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base64_image: str - The base64 encoded image
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file_name: str - The name of the file to be uploaded
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Returns:
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Optional[str] - The public URL of the uploaded file or None if failed
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"""
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try:
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# Run CPU-intensive operations in thread pool
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loop = asyncio.get_event_loop()
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# Decode base64 in thread pool
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image_data = await loop.run_in_executor(
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None, lambda: base64.b64decode(base64_image)
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)
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# Open and process image in thread pool
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image = await loop.run_in_executor(
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None, lambda: Image.open(io.BytesIO(image_data))
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)
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# Create unique temp file path
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temp_file_path = os.path.join(
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tempfile.gettempdir(), f"{file_name}_{datetime.now().timestamp()}.jpg"
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)
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# Save image in thread pool
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await loop.run_in_executor(
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None, lambda: image.save(temp_file_path, format="JPEG")
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)
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try:
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# Upload to Firebase
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public_url = await upload_file_to_storage(
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temp_file_path, f"{file_name}.jpg"
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)
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return public_url
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finally:
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# Clean up temp file in thread pool
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await loop.run_in_executor(None, os.remove, temp_file_path)
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except Exception as e:
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print(f"Error processing image {file_name}: {str(e)}")
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return None
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async def process_images(base64_images: List[str]) -> List[Optional[str]]:
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"""
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Process multiple base64 images concurrently.
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Args:
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base64_images: List[str] - List of base64 encoded images
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Returns:
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List[Optional[str]] - List of public URLs or None for failed uploads
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"""
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tasks = []
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for idx, base64_image in enumerate(base64_images):
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timestamp = (
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datetime.now(pytz.timezone("Asia/Ho_Chi_Minh"))
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.replace(tzinfo=None)
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.strftime("%Y-%m-%d_%H-%M-%S")
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)
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file_name = f"image_{timestamp}_{idx}"
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tasks.append(upload_base64_image_to_storage(base64_image, file_name))
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return await asyncio.gather(*tasks, return_exceptions=True)
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