mirror of
https://github.com/Azure-Samples/graphrag-accelerator.git
synced 2025-06-27 04:39:57 +00:00
211 lines
6.4 KiB
Python
211 lines
6.4 KiB
Python
# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT License.
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import asyncio
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import os
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import re
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import traceback
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from math import ceil
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from typing import List
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from azure.storage.blob.aio import ContainerClient
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from fastapi import (
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APIRouter,
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Depends,
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HTTPException,
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UploadFile,
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)
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from graphrag_app.logger.load_logger import load_pipeline_logger
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from graphrag_app.typing.models import (
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BaseResponse,
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StorageNameList,
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)
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from graphrag_app.utils.common import (
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delete_cosmos_container_item_if_exist,
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delete_storage_container_if_exist,
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get_blob_container_client,
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get_cosmos_container_store_client,
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sanitize_name,
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subscription_key_check,
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)
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data_route = APIRouter(
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prefix="/data",
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tags=["Data Management"],
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)
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if os.getenv("KUBERNETES_SERVICE_HOST"):
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data_route.dependencies.append(Depends(subscription_key_check))
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@data_route.get(
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"",
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summary="Get list of data containers.",
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response_model=StorageNameList,
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responses={200: {"model": StorageNameList}},
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)
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async def get_all_data_containers():
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"""
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Retrieve a list of all data containers.
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"""
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items = []
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try:
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container_store_client = get_cosmos_container_store_client()
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for item in container_store_client.read_all_items():
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if item["type"] == "data":
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items.append(item["human_readable_name"])
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except Exception as e:
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reporter = load_pipeline_logger()
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reporter.error(
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message="Error getting list of blob containers.",
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cause=e,
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stack=traceback.format_exc(),
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)
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raise HTTPException(
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status_code=500, detail="Error getting list of blob containers."
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)
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return StorageNameList(storage_name=items)
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async def upload_file_async(
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upload_file: UploadFile, container_client: ContainerClient, overwrite: bool = True
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) -> None:
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"""
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Asynchronously upload a file to the specified blob container.
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Silently ignore errors that occur when overwrite=False.
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"""
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blob_client = container_client.get_blob_client(upload_file.filename)
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with upload_file.file as file_stream:
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try:
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await blob_client.upload_blob(file_stream, overwrite=overwrite)
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except Exception:
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pass
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class Cleaner:
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def __init__(self, file):
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self.file = file
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self.name = file.name
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self.changes = 0
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def clean(self, val, replacement=""):
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# fmt: off
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_illegal_xml_chars_RE = re.compile(
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"[\x00-\x08\x0b\x0c\x0e-\x1F\uD800-\uDFFF\uFFFE\uFFFF]"
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)
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# fmt: on
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self.changes += len(_illegal_xml_chars_RE.findall(val))
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return _illegal_xml_chars_RE.sub(replacement, val)
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def read(self, n):
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return self.clean(self.file.read(n).decode()).encode(
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encoding="utf-8", errors="strict"
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)
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def name(self):
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return self.file.name
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def __enter__(self):
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return self
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def __exit__(self, *args):
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self.file.close()
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@data_route.post(
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"",
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summary="Upload data to a data storage container",
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response_model=BaseResponse,
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responses={200: {"model": BaseResponse}},
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)
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async def upload_files(
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files: List[UploadFile],
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container_name: str,
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sanitized_container_name: str = Depends(sanitize_name),
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overwrite: bool = True,
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):
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"""
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Create a Azure Storage container and upload files to it.
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Args:
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files (List[UploadFile]): A list of files to be uploaded.
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storage_name (str): The name of the Azure Blob Storage container to which files will be uploaded.
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overwrite (bool): Whether to overwrite existing files with the same name. Defaults to True. If False, files that already exist will be skipped.
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Returns:
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BaseResponse: An instance of the BaseResponse model with a status message indicating the result of the upload.
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Raises:
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HTTPException: If the container name is invalid or if any error occurs during the upload process.
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"""
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try:
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# clean files - remove illegal XML characters
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files = [UploadFile(Cleaner(f.file), filename=f.filename) for f in files]
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# upload files in batches of 1000 to avoid exceeding Azure Storage API limits
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blob_container_client = await get_blob_container_client(
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sanitized_container_name
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)
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batch_size = 1000
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num_batches = ceil(len(files) / batch_size)
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for i in range(num_batches):
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batch_files = files[i * batch_size : (i + 1) * batch_size]
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tasks = [
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upload_file_async(file, blob_container_client, overwrite)
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for file in batch_files
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]
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await asyncio.gather(*tasks)
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# update container-store entry in cosmosDB once upload process is successful
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cosmos_container_store_client = get_cosmos_container_store_client()
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cosmos_container_store_client.upsert_item({
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"id": sanitized_container_name,
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"human_readable_name": container_name,
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"type": "data",
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})
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return BaseResponse(status="File upload successful.")
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except Exception as e:
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logger = load_pipeline_logger()
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logger.error(
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message="Error uploading files.",
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cause=e,
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stack=traceback.format_exc(),
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details={"files": [f.filename for f in files]},
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)
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raise HTTPException(
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status_code=500,
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detail=f"Error uploading files to container '{container_name}'.",
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)
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@data_route.delete(
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"/{container_name}",
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summary="Delete a data storage container",
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response_model=BaseResponse,
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responses={200: {"model": BaseResponse}},
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)
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async def delete_files(
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container_name: str, sanitized_container_name: str = Depends(sanitize_name)
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):
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"""
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Delete a specified data storage container.
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"""
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try:
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delete_storage_container_if_exist(sanitized_container_name)
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delete_cosmos_container_item_if_exist(
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"container-store", sanitized_container_name
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)
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except Exception as e:
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logger = load_pipeline_logger()
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logger.error(
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message=f"Error deleting container {container_name}.",
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cause=e,
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stack=traceback.format_exc(),
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details={"Container": container_name},
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)
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raise HTTPException(
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status_code=500,
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detail=f"Error deleting container '{container_name}'.",
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)
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return BaseResponse(status="Success")
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