Medical Insurance Fund Supervision and Audit: Declaration Material and Case File Review - Deployment and Upgrade

Medical Insurance Fund Supervision and Audit: Declaration Material and Case File Review - Deployment and Upgrade

What data for this category looks like

Data for this category comes from medical insurance intelligent monitoring systems, fund supervision rule bases, medical insurance settlement data, drug and consumable traceability codes, and complaint leads. The update frequency is monthly. Daily processed documents include audit notices, inspection work papers, suspicious item lists, interview records, decision letters, and rectification reports. Documents are mostly a mix of structured forms and unstructured text. Fields cover violation types, involved matters, rectification status, and other content. There is no unified fixed format, so adaptation is required for parsing and archiving of multiple document types.

What constraints these characteristics impose on deployment and upgrade

Reference only; verify against the target FastGPT release and deployment documentation.

How to set configurations

Configuration ItemRecommended SettingRationale
MONGODB_URIExclusive connection string pointing to the medical insurance settlement data repositoryUsed to store suspicious item lists and rectification records during the audit process, ensuring stability for multi-terminal access
REDIS_URLConnection address of the local cache cluster, with an expiration time configured to 600 secondsCaches frequently accessed supervision rules and complaint leads to reduce database query pressure
STORAGE_S3_ENDPOINTNode address adapted to the internal object storage of the medical insurance systemUsed to archive audit case files and original declaration materials to meet compliance storage requirements
DB_MAX_LINK100–150Adapts to the concurrency requirements of monthly batch data synchronization, avoiding synchronization failures caused by exhausted connections
FILE_TOKEN_KEYConfigured according to the internal key standards of the medical insurance systemUsed to verify the legality of uploaded declaration materials and prevent unauthorized file access
ROOT_KEYExclusive key accessible only to deployment nodesEnsures the security of system background configuration and prevents unauthorized modifications

Three common configuration mistakes

  • The symptom is that the downloaded configuration file during deployment only displays a 404 status code and cannot load normally. The cause is that the storage node permission pointed to by STORAGE_S3_ENDPOINT is not correctly configured, leading to failed configuration file pulling.
  • The symptom is that some historical audit data is lost after updating the image version and executing docker-compose up -d. The cause is that the persistent storage directory bound to the database corresponding to PG_URL was not mounted in advance, so data was not persistently stored.
  • The symptom is that an unknown error is returned when calling the audit rule verification interface, and credential verification fails. The cause is that FILE_TOKEN_KEY is not correctly configured and does not match the system internal key, resulting in failed interface authentication.

How to confirm configuration is complete

  • Execute the docker-compose config command to check whether the configuration file syntax is correct, and confirm that all parameters such as MONGODB_URI and REDIS_URL have been correctly filled in.
  • Upload a standard audit notice, initiate a single parsing test, check whether the parsing result includes core business fields, and confirm that the document parsing configuration is adapted to the current business scenario.
  • Trigger a monthly data synchronization task, check the system logs, and confirm that there are no errors such as failed data pulling or connection timeouts.
  • Log in to the background management interface, use ROOT_KEY to attempt to modify the system configuration, and confirm that the permission verification takes effect.

The values provided here are common starting points and should be evaluated 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.