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https://github.com/infiniflow/ragflow.git
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5c9124c3ef
Fixes #14159 ## Problem The `put()`, `get()`, `rm()`, and `obj_exist()` methods in both `azure_spn_conn.py` and `azure_sas_conn.py` ignore the `bucket` parameter entirely, storing all files flat using only the filename. This causes files from different datasets to overwrite each other when they share the same filename. By contrast, the MinIO and S3 implementations correctly use the bucket (typically the knowledge base ID) as a path prefix, creating logical folder isolation like `{kb_id}/{filename}`. ## Solution Prepend the `bucket` parameter as a path prefix to all file operations in both Azure storage implementations: - `azure_spn_conn.py`: `create_file`, `delete_file`, `get_file_client` now use `f"{bucket}/{fnm}"` - `azure_sas_conn.py`: `upload_blob`, `delete_blob`, `download_blob`, `get_blob_client` now use `f"{bucket}/{fnm}"` This matches the behavior of all other storage backends (MinIO, S3) and prevents filename collisions across knowledge bases. ## Testing - Verified the fix aligns with how MinIO/S3 connectors handle the bucket parameter - The `health()` method is left unchanged as it uses a fixed test path for connectivity checks only Co-authored-by: octo-patch <octo-patch@github.com> Co-authored-by: Jin Hai <haijin.chn@gmail.com>
96 lines
3.1 KiB
Python
96 lines
3.1 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import logging
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import os
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import time
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from io import BytesIO
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from common.decorator import singleton
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from azure.storage.blob import ContainerClient
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from common import settings
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@singleton
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class RAGFlowAzureSasBlob:
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def __init__(self):
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self.conn = None
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self.container_url = os.getenv('CONTAINER_URL', settings.AZURE["container_url"])
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self.sas_token = os.getenv('SAS_TOKEN', settings.AZURE["sas_token"])
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self.__open__()
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def __open__(self):
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try:
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if self.conn:
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self.__close__()
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except Exception:
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pass
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try:
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self.conn = ContainerClient.from_container_url(self.container_url + "?" + self.sas_token)
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except Exception:
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logging.exception("Fail to connect %s " % self.container_url)
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def __close__(self):
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del self.conn
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self.conn = None
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def health(self):
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_bucket, fnm, binary = "txtxtxtxt1", "txtxtxtxt1", b"_t@@@1"
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return self.conn.upload_blob(name=fnm, data=BytesIO(binary), length=len(binary))
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def put(self, bucket, fnm, binary, tenant_id=None):
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for _ in range(3):
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try:
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return self.conn.upload_blob(name=f"{bucket}/{fnm}", data=BytesIO(binary), length=len(binary))
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except Exception:
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logging.exception(f"Fail put {bucket}/{fnm}")
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self.__open__()
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time.sleep(1)
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def rm(self, bucket, fnm):
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try:
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self.conn.delete_blob(f"{bucket}/{fnm}")
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except Exception:
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logging.exception(f"Fail rm {bucket}/{fnm}")
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def get(self, bucket, fnm):
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for _ in range(1):
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try:
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r = self.conn.download_blob(f"{bucket}/{fnm}")
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return r.read()
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except Exception:
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logging.exception(f"fail get {bucket}/{fnm}")
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self.__open__()
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time.sleep(1)
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return
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def obj_exist(self, bucket, fnm):
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try:
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return self.conn.get_blob_client(f"{bucket}/{fnm}").exists()
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except Exception:
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logging.exception(f"Fail put {bucket}/{fnm}")
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return False
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def get_presigned_url(self, bucket, fnm, expires):
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for _ in range(10):
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try:
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return self.conn.get_presigned_url("GET", bucket, fnm, expires)
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except Exception:
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logging.exception(f"fail get {bucket}/{fnm}")
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self.__open__()
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time.sleep(1)
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return
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