Closed smart-aiops closed 5 months ago
To address the FileNotFoundError
in your self-hosted Docker setup when attempting offline deployment with access to GPT-4, follow these targeted steps:
Ensure Correct Docker Volume Mappings: Double-check your docker-compose.yml
for accurate volume mappings to make necessary files accessible inside the Docker container.
Verify Configuration File Paths: Confirm that paths referenced in your application, such as those in manage.py
, are correct and accessible within the Docker environment.
Check for Required Files: Make sure all files needed by your application are present and correctly referenced, including any external configuration files for GPT-4 access.
Configure GPT-4 Access Properly: Ensure that configuration for GPT-4 access, including API keys and endpoint URLs, is correctly set up within your Docker environment.
Utilize Debugging and Logs: Use Docker and application logs to identify the specific file or configuration causing the issue. Running the container with increased verbosity can provide additional insights.
Review File Permissions: Confirm the Docker container has the necessary permissions to access the file in question.
Audit Configuration Variables: Review all environment variables and settings, ensuring they are correctly configured for your intranet environment, especially those related to file storage and database access.
Ensure Database and Redis Accessibility: Verify that your database and Redis instances are correctly set up and accessible by the Docker container.
For detailed guidance, refer to the Dify documentation on self-hosted installation and environment configuration. This includes checking the Dify Self-Hosted Installation Guide and the Environment Variables section for specific settings related to your setup.
Can not resolve openaipublic.blob.core.windows.net
typical means it's a general network issue. Please use a proper proxy to deal with such kind of issues.
resolve https://github.com/langgenius/dify/issues/1014
Reason: In an offline environment, TikToken and Jieba need internet access to obtain the segmentation files, leading to connection failure.
Solution: In an environment with internet access, successfully execute the knowledge base indexing once. This will generate data-gym-cache and jieba.cache in the /tmp directory of the worker_1 docker container. Copy the /tmp folder to the offline docker containers (docker_worker_1 and docker_api_1) to resolve the issue.
Self Checks
Dify version
0.6.1
Cloud or Self Hosted
Self Hosted (Docker)
Steps to reproduce
✔️ Expected Behavior
❌ Actual Behavior