Document and Material Drafting for Work Safety Hazard Inspection and Governance: Deployment and Upgrade

Document and Material Drafting for Work Safety Hazard Inspection and Governance: Deployment and Upgrade

What the data for this category looks like

This category's data originates from work safety supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems. It routinely generates documents including hazard inspection lists, hazard management ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Data updates occur daily. Core fields include hazard ID, hazard type, rectification responsible person, rectification deadline, review result, and more. Individual document lengths vary widely, from hundreds to thousands of characters, and require association with basic information of corresponding production and business entities.

What constraints these characteristics impose during deployment and upgrade

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

Configuration Settings

These configurations apply to FastGPT v4.17.0:

Configuration ItemRecommended SettingRationale
MONGODB_URICluster connection address with authentication information, set connection pool timeout to 300 secondsAdapt to daily high-frequency hazard data writes and queries, prevent business interruptions from connection timeouts
DB_MAX_LINK20–30Match concurrent request volumes of daily multi-source data, prevent service lag from exhausted connection slots
REDIS_URLIndependent cache instance address with password, set key expiration time to 86400 secondsCache daily updated hazard judgment standards and entity basic information, reduce database query load
STORAGE_S3_ENDPOINTConfigure per the object storage service provider of the deployment environmentAdapt to storage needs for multiple document types including rectification notices and review records
ROOT_KEYRandomly generated 32-bit stringUsed for interface authentication, secure access to internal management interfaces

Three Common Misconfigurations

  • MongoDB connection failure errors appear several hours after startup. The cause is failure to set a reasonable value for DB_MAX_LINK, leading to exhausted connection pools that cannot create new connections, and no automatic reconnection mechanism configured.
  • Historical hazard ledgers become unretrievable after cross-version upgrade. The cause is skipping database script execution for intermediate versions, meaning new field mapping rules are not synchronized to the existing database.
  • Uploaded rectification notices cannot be parsed normally. The cause is failure to configure the correct key for FILE_TOKEN_KEY, resulting in failed file storage authentication and inability to read uploaded document content.

How to Verify Proper Configuration

  • Run the database connection test script to confirm that connection pool counts stay within the configured range, with no persistent errors.
  • Import a historical hazard inspection list to verify that data fields are correctly mapped to the system's business fields.
  • Trigger a document upload operation to confirm that the generated file link is accessible normally and the content is complete.
  • Check the version upgrade log to confirm that all database migration scripts executed successfully with no error messages.

The values provided are common starting points and should be evaluated against the deployment’s own operational 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.