Help!!!! : [ERROR] Can not find file<11111111.txt>
Is there an existing issue for the same bug?
- [X] I have checked the existing issues.
Branch name
task_executor.py
Commit ID
zzzzzzzz2334ewertwe
Other environment information
Meet environmental requirements
Actual behavior
Image acquisition: Pull the original image from the testing machine, package and copy it to the official server.
Dockerfile: Due to issues with the official server version, the Dockerfile file has been modified. Please refer to the attachment: docker-compose-new.txt
Page error: see attachment:
Expected behavior
The parsing went smoothly, but an error occurred
Steps to reproduce
Operation steps:
1. Formally start Docker Compose - f Docker Compose new. yml up - d file image starts normally
2. Enter the ragflow_server container and transfer the mounted rag/res/deepdoc, rag/res/bge target zh v1.5-->cp to~/. cache
3. Restart the ragflow_server container
4. Enter the page ->Create knowledge base ->Add file
Additional information
ragflow-server logs:
LOADING BCE... Traceback (most recent call last): File "/ragflow/rag/svr/task_executor.py", line 130, in build cks = chunker.chunk(row["name"], binary=binary, from_page=row["from_page"], ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/ragflow/rag/app/naive.py", line 145, in chunk with open(filename, "r") as f: ^^^^^^^^^^^^^^^^^^^ FileNotFoundError: [Errno 2] No such file or directory: '111111111.txt'
rag/res/logs/Error.log:
fail get 2143d108fd5111eeb7990242ac1d0006/111111111.txt: S3 operation failed; code: InvalidAccessKeyId, message: The Access Key Id you provided does not exist in our records., resource: /2143d108fd5111eeb7990242ac1d0006, request_id: 17C74DC27AE5E1F2, host_id: dd9025bab4ad464b049177c95eb6ebf374d3b3fd1af9251148b658df7ac2e3e8, bucket_name: 2143d108fd5111eeb7990242ac1d0006 Chunkking 111111111.txt/111111111.txt: [Errno 2] No such file or directory: '111111111.txt'
- Check if the minio is healthy.
- Check the configuration of user name and password in both docker/.env and docker/service_conf.yml. Keep them consistent.