What This Category of Data Looks Like
Daily documents for this category include elderly care institution registration materials, operation subsidy application documents, service quality inspection reports, safety hazard rectification ledgers, and elderly admission files. Data is primarily sourced from elderly care service information platforms, civil affairs statistics systems, fire inspection records, and institution operation ledgers, with a monthly update frequency. Common data fields include institution registration number, bed count, inspection date, rectification completion status, subsidy application amount, and more. Units involve bed count, person-times, amount, and others. These data points are used to verify institution registration and bed data, check service quality and safety hazards, and review subsidy and rectification materials.
Constraints Imposed by These Characteristics on the Deployment and Upgrade Phase
Monthly data synchronization requires a stable multi-source data connection link to be configured during deployment, to ensure on-time retrieval of data sources such as civil affairs statistics systems and fire inspection records. Parsing multiple document types requires the deployment process to support file handling for different formats, including registration materials and rectification ledgers. Data involves institution operations and elderly privacy, so permission isolation rules must be configured during deployment to ensure data access security. During upgrades, existing institution ledger formats must be compatible, to avoid interrupting the data verification process due to format changes. At the same time, resource allocation for batch data processing must be optimized to meet the time requirements of monthly data verification.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–200 connections | Adapts to database concurrent access demands during monthly batch data synchronization, and prevents task interruptions caused by exhausted connections |
MONGODB_URI | Exclusive connection string pointing to the elderly care service information platform synchronization database | Stores unstructured document data such as institution registration materials and elderly admission files, separate from structured data storage |
PG_URL | Connection string pointing to the civil affairs statistics system synchronization database | Stores structured data such as bed count and subsidy application amount, supporting batch queries with complex conditions |
REDIS_URL | Connection string configured for a local cache instance | Caches monthly-updated basic institution data, reducing time spent on repeated data source pulling |
STORAGE_S3_ENDPOINT | Object storage endpoint adapted for institution-uploaded documents | Uniformly stores uploaded files such as safety hazard rectification ledgers and service quality inspection reports, standardizing document management |
FE_DOMAIN | Domain name of the supervision platform where deployment is located | Configures the frontend access address, ensuring a secure access link for internal staff |
Three Common Configuration Mistakes
- Symptom: Timeout occurs when batch processing elderly care institution registration data after Docker deployment. Cause: The
DB_MAX_LINKparameter was not adjusted, resulting in insufficient database connections to support concurrent access for monthly batch data. - Symptom: 404 error is returned when accessing external elderly care data. Cause: The connection path for
PG_URLorMONGODB_URIwas not configured correctly, leading to an incorrect data source access link. - Symptom: Frontend pages cannot properly preview rectification ledger files uploaded by institutions. Cause: The verification rules for
FILE_TOKEN_KEYandFE_DOMAINwere not configured, resulting in failed file access permission verification.
How to Confirm the Configuration Is Complete
- Log in to the database management tool, check the current database connection count, and confirm that the connection count is not lower than the lower limit of the configured
DB_MAX_LINK. - Initiate a simulated monthly data synchronization task, check whether data sources from the civil affairs statistics system and fire inspection records can be pulled normally, with no error returns.
- Upload a simulated safety hazard rectification ledger file, access the file through the frontend page, and confirm that it can be loaded and previewed normally.
- Initiate a batch institution data verification task, confirm that the processing time meets expectations, and no prolonged timeouts occur.
The values given 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.