What Data Looks Like for This Category
Data sources for this category include customer surface treatment specifications, bath chemistry test results, rectifier operating data, online water quality monitoring records, and hazardous waste management ledgers. Data update frequencies cover per bath run, per shift, and fixed monitoring cycles. Daily documents involved include bath analysis records, process parameter cards, fixture usage logs, coating thickness and adhesion reports, hazardous waste ledgers, and wastewater monitoring records. Data fields include bath concentration, coating thickness, rectifier current, bath temperature, batch number, fixture number, and others. Field dimensions and update frequencies vary across different documents.
Constraints Imposed on Deployment and Upgrade
Data for this category is multi-source, scattered, high-frequency updated, and diverse in document type. This creates multiple constraints for the deployment and upgrade process. Multi-source data access requires configuring multiple data connections during deployment to support access requirements from different sources such as bath chemistry tests and online monitoring. The high-frequency update characteristic requires adjusting the index refresh cycle to avoid data lag affecting the real-time performance of inspection results. Diverse document types require configuring targeted parsing rules to adapt to different formats such as table-style bath records and ledger-style hazardous waste files. Specific field units require unified mapping rules to avoid data errors caused by unit confusion during parsing. In addition, compliance requirements for production data mean selecting compliant storage nodes during deployment to ensure storage security for sensitive data such as hazardous waste and wastewater monitoring records.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 | Adapt to high-concurrency read/write requirements from bath analysis records, process parameter cards, and avoid connection exhaustion |
STORAGE_S3_ENDPOINT | http://private storage node IP:9000 | Store sensitive data such as hazardous waste ledgers and wastewater monitoring records, comply with production environment compliance requirements |
REDIS_URL | redis://localhost:6379/0 | Cache fixture records and online water quality monitoring data updated per shift, reduce database query latency |
FE_DOMAIN | http://workshop intranet domain | Restrict access to the production workshop internal network to prevent unauthorized external access |
FILE_TOKEN_KEY | 32-bit string generated according to enterprise internal secret key rules | Encrypt access tokens for documents such as bath analysis reports and coating thickness adhesion reports, ensure data security |
ROOT_KEY | Configure only during initialization, hidden afterward | Configure system initial administrator permissions, avoid security risks from default secret keys |
Three Common Misconfigurations
- Local deployment results in no accessible service. Symptoms include browser returning connection timeout or 502 status code. Cause:
FE_DOMAINis not correctly configured to point to the frontend service port, or the Docker container did not correctly map the host port. - The knowledge base does not automatically index images. Symptoms include being unable to match keywords in an uploaded image of a bath analysis record during retrieval. Cause: The image parsing plugin is not enabled, or
FILE_TOKEN_KEYis configured incorrectly, preventing reading of the image file. - A version update notice pops up every time a new conversation is opened. Symptoms include an update prompt pop-up appearing every time a session starts. Cause: The version update notice switch is not turned off in the frontend configuration, or frontend static resources were not synchronized and updated during local deployment.
How to Confirm Proper Configuration
- Under FastGPT v4.17.0, access the configured
FE_DOMAINaddress, confirm the system interface loads normally with no connection error prompts. - Upload an image document containing bath concentration and coating thickness parameters, retrieve the corresponding keywords, confirm the uploaded document can be matched.
- Check the database connection monitoring in the system backend, confirm the current number of connections does not exceed the
DB_MAX_LINKconfiguration value. - Check the running status of the Redis service, confirm the cache service configured in
REDIS_URLcan establish a normal connection.
The values provided are common starting points and should be evaluated against local deployment samples.