What this category of data looks like
The data for this category primarily comes from engineering quality and safety supervision systems, on-site real-name management platforms, supervision logs, and test reports. The update frequency is weekly. Daily processed documents include supervision plans, supervision inspection records, hidden danger rectification notices, quality problem handling forms, and completion acceptance supervision reports. Document fields include project number, participating unit information, inspection time, hidden danger description, rectification requirements, and acceptance conclusion, among others. There are no unified mandatory units. Some fields require association with on-site engineering entity parameters, such as construction location and test values.
Constraints during deployment and upgrade
The data sources for this category are scattered, requiring integration with multiple existing supervision and on-site systems. Multi-source data access adaptation items must be configured during deployment to avoid docking conflicts. The weekly update frequency requires the deployed retrieval link to have stable incremental synchronization capabilities, to prevent excessive hardware resource usage from full synchronization. There are diverse document types and complex field associations. Metadata extraction rules for corresponding documents must be preset during deployment to ensure accurate matching of associated fields during file review. File review requires cross-verification of multiple documents. Context-aware retrieval logic must be configured during deployment to align with business review workflows.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale for this setting |
|---|---|---|
MONGODB_URI | mongodb://admin:yourpass@host:27017/fastgpt_db?authSource=admin | Stores multiple types of file documents including supervision plans and rectification notices, and adapts to weekly incremental synchronization requirements |
REDIS_URL | redis://:redispass@192.168.1.100:6379/1 | Caches retrieval results and synchronization status, supports quick validation for weekly updates |
DB_MAX_LINK | 20–30 | Matches concurrent connection requirements for multiple data sources, prevents synchronization interruptions caused by exhausted connection pools |
STORAGE_S3_ENDPOINT | http://192.168.1.101:9000 | Stores large-volume test reports and supervision log documents, adapts to file archiving storage requirements |
FE_DOMAIN | https://internal quality and safety review system domain | Configures the front-end access address, adapts to access rules for internal office networks |
Three common mistakes
- Phenomenon: The front-end page fails to open after deployment, displaying a
connection refusederror. Cause: Port mapping rules are not configured correctly, or the binding address forFE_DOMAINdoes not match the actual deployment environment. - Phenomenon: A connection failure prompt appears when attempting to add an external model service. Cause: The corresponding port for the model service is not open, or the
REDIS_URLconfiguration error causes link interruption. - Phenomenon: The downloaded deployment configuration file only contains a single line of
404content. Cause: The download link has expired, or the network environment restricts complete file download, resulting in a corrupted configuration file.
How to confirm the configuration is complete
- Run container status check commands to confirm all service containers are running, with no abnormally exited logs.
- Access the configured
FE_DOMAINaddress to verify the front-end page loads normally, with no connection errors. - Submit a test supervision inspection record document to trigger the incremental synchronization task, and verify that data can be properly stored in the database.
- Input test questions related to file review and call the retrieval interface to verify that matching document results can be returned.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.