Legality Review of Regulatory Documents: Ledger Summary and Report Generation - Deployment and Upgrade

Legality Review of Regulatory Documents: Ledger Summary and Report Generation - Deployment and Upgrade

What data for this category looks like

The data sources for this category are the regulatory and rule repository, higher-level law database, departmental policy document repository, and administrative regulatory document filing system. Documents processed daily include regulatory document drafts, drafting explanations, legality review opinions, solicited opinion summaries, and filing reports. Update frequency is irregular, triggered by review processes and filing progress. Fields include document identifier, drafting entity, review node records, opinion summary entries, filing status, and others. Document identifier uses string format. Audit date uses standard year-month-day format. Opinion summary entries use integers as the statistical unit.

Constraints imposed by these characteristics on deployment and upgrade

Dispersed data sources and irregular updates require configuring incremental synchronization rules for multiple data sources. This avoids full data pulls consuming excessive government intranet bandwidth. Diverse document types and sensitive review content require configuring a unified permission verification mechanism. This ensures access compliance across different review stages. Ledger summaries require cross-node data from multiple systems. Upgrade steps must optimize cache strategies for associated queries to reduce resource usage from repeated requests. Data storage in government scenarios must meet confidentiality requirements. Deployment steps must configure compliant storage service endpoints to ensure secure storage of review documents.

How to set configurations

Configuration ItemRecommended ValueRationale
DB_MAX_LINK80–120 connectionsLimits the concurrent connection count of the database connection pool, adapts to the load requirements of multi-data source synchronization, prevents server resource exhaustion, and aligns with the connection pool rules of FastGPT v4.17.0
MONGODB_URImongodb://username:password@host:port/admin?authSource=adminStores structured data such as legality review opinions and filing records, supports concurrent read and write operations across multiple nodes
PG_URLpostgresql://user:pass@host:5432/fastgpt?sslmode=requireStores metadata of regulatory documents and associated fields for ledger summaries, supports complex cross-table associated queries
REDIS_URLredis://:auth@redis-host:6379/1Caches the results of cross-data source associated queries, improves response speed of ledger summaries, and reduces repeated request pressure on the database
STORAGE_S3_ENDPOINTGovernment cloud storage endpoints determined through actual testingStores attachments of regulatory documents during the review process, adapts to upload and download requirements for large files
FILE_TOKEN_KEYRandomly generated 32-character stringEncrypts access tokens for regulatory documents, ensures only authorized users can access sensitive review documents, and complies with government data confidentiality specifications

Three common configuration errors

  • Phenomenon: After upgrading to FastGPT v4.17.0, running the initial sync script returns a 404 error. Cause: The access key and endpoint address for STORAGE_S3_ENDPOINT were not configured correctly, causing the storage service to fail to respond to sync requests.
  • Phenomenon: Some solicited opinion summary data is missing from ledger summary results. Cause: Read/write permissions for the corresponding data source were not configured in MONGODB_URI, so opinion summary records stored in MongoDB cannot be pulled.
  • Phenomenon: Database connection timeout occurs when generating legality review reports. Cause: A reasonable upper limit for DB_MAX_LINK was not set, causing the connection pool to be exhausted during multi-data source sync, preventing new database connections from being established.

How to confirm the configuration is correct

  • Access the data source configuration page in the FastGPT backend, run connection tests for MONGODB_URI and PG_URL, verify test results show success, confirming that corresponding business data can be pulled normally.
  • Generate a set of test document links encrypted with FILE_TOKEN_KEY, verify that only authorized government intranet users can access the document normally, and unauthorized users cannot view the content.
  • Trigger an incremental sync task, check the storage service logs corresponding to STORAGE_S3_ENDPOINT, confirm there are no failed upload records for review attachments.
  • Check the system's connection pool monitoring metrics, confirm that the configured value of DB_MAX_LINK matches the current concurrent request connection count, with no connection exhaustion alerts.

The values provided here 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.