stuck at parsing the file

[sjx666666]

not work well on server linux
but work well on local windows

[dosubot[bot]]

Hello @sjx666666! 👋 I'm Dosu, your friendly bot here to help you tackle bugs, answer questions, and guide you in becoming a contributor while you wait for a human maintainer. Let's get started on solving your issue! 🛠️

The issue of tasks remaining queued on the server Linux environment, while functioning correctly on a local Windows machine, could be related to several factors:

1. Task Executor Availability: The task executor might be busy processing other tasks or facing resource constraints on the Linux server, causing tasks to remain queued. Increasing computation resources or adjusting the number of tasks processed simultaneously could help alleviate this issue ^[1][2].

2. Version-Specific Issues: There is a known issue in RAGFlow v0.17.2 where document parsing tasks can get stuck in a 'queued' state without error logs. Upgrading to a newer version of RAGFlow might resolve this problem ^[3].

3. Configuration Differences: Ensure that the Linux server has all necessary dependencies and configurations set up correctly, such as Python 3, Jemalloc, and proper environment variables. Differences in these setups between Windows and Linux could affect task processing ^[4][5].

4. Toggle Switch Impact: The toggle switch in the UI panel might be affecting task execution, although specific details on its interaction with the task processing system are not available. It could be worth investigating how this switch impacts task execution.

Reviewing these aspects might help diagnose and resolve the issue with tasks remaining queued on the Linux server.

To continue talking to Dosu, mention @dosu.

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[sjx666666]

i found the log in task executor, it seems like the redis didn't start properly, how to solve it

[dosubot[bot]]

To address the Redis connectivity issues in RAGFlow, you can follow these steps:

1. Term Frequency File: Create a term.freq file in the rag/res folder with tab-separated terms and frequencies to resolve the 'Load term.freq FAIL!' warning ^[1].

2. Synonym Dictionary: Place a synonym.json file in the rag/res directory to ensure the local synonym dictionary is loaded correctly. The warning 'Realtime synonym is disabled' is expected and can be ignored as it does not affect core functionality ^[1].

3. Redis Configuration: Ensure that your Redis configuration is correct. Check the following settings:

   • REDIS_HOST: Should be set to the correct hostname, typically <ragflow-fullname>-redis.<namespace>.svc.
   • REDIS_PORT: Ensure it is set to 6379.
   • REDIS_PASSWORD: Verify that the password is correctly set and matches the one configured in Redis ^[2].

4. Network and DNS: The errors suggesting temporary failure in name resolution might indicate DNS issues. Ensure that your server can resolve the Redis hostname correctly. You might need to check your DNS settings or add an entry to your /etc/hosts file if necessary.

5. Redis Service: Verify that the Redis service is running and accessible from the server where RAGFlow is deployed. You can test connectivity using tools like telnet or redis-cli.

By addressing these areas, you should be able to resolve the Redis connectivity issues and ensure smooth operation of RAGFlow.

To continue talking to Dosu, mention @dosu.

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[sjx666666]

thx, i have solved this problem

[qwer7747]

May I ask if there is a solution process?