What the data for this category looks like
Data for this category is sourced from safety production supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems, and is updated daily. Core documents include hazard investigation checklists, hazard management ledgers, rectification notices, review records, and major hazard suspension and supervision orders. Data fields are built around closed-loop hazard management, including hazard identifiers, rectification responsible parties, rectification time limits, review status, and similar fields. No custom statistical fields are included, only information associated with the full end-to-end process of hazard investigation, rectification, and review is recorded.
Constraints imposed by these characteristics during deployment and upgrade
The daily update frequency requires configuring scheduled trigger logic for incremental synchronization during deployment, to avoid excessive server resource consumption from full data pulls. Multi-source system data requires adapting to different interface formats and permission verification rules during integration, to ensure hazard data from all channels can be unified accessibly. Multiple types of closed-loop documents require configuring targeted field mapping rules, to ensure accurate data association across hazard, rectification, and review stages. The high-risk impact of errors requires enabling detailed log retention and exception alert configurations during deployment, to enable quick problem identification and risk mitigation.
Configuration guidelines
These configuration items apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://username:password@host:port/dbname?authSource=admin | Connect to structured hazard data from safety production supervision systems and enterprise self-inspection systems, requires correct authentication source and database permission configuration |
PG_URL | postgresql://username:password@host:port/dbname | Store metadata for unstructured documents such as rectification notices and review records, adapts to relational data query requirements |
REDIS_URL | redis://:password@host:port/0 | Cache incremental data snapshots for daily incremental synchronization, reduces resource consumption from repeated queries |
DB_MAX_LINK | 20–30 | Adapt to daily high-frequency hazard data synchronization requests, avoid synchronization interruptions caused by insufficient connection counts |
FE_DOMAIN | https://your-domain.gov.cn | Configure the frontend access domain for the party building learning Q&A platform, ensure internal users can access the service normally |
ROOT_KEY | Random string generated in accordance with internal information security management regulations | Configure the platform's super administrator permission key, ensure security of internal management operations |
Three common misconfigurations
- Phenomenon: After starting the service, the container status is up, but the frontend port 3000 page cannot be logged into, and logs prompt MongoDB connection failure. Cause: The authentication information for
MONGODB_URIis not configured correctly, or the MongoDB instance has not opened access permissions for the corresponding port. - Phenomenon: When configuring the associated model for the party building Q&A on the platform, the configuration entry for the API key cannot be found. Cause:
FILE_TOKEN_KEYorROOT_KEYis not configured in the corresponding environment variables, leading to failed permission verification and hidden configuration entries. - Phenomenon: The daily incremental synchronization task for hazard data times out, and synchronization progress stalls. Cause: The
DB_MAX_LINKconfiguration value is too low, cannot support concurrent requests from multiple source systems, leading to exhaustion of the database connection pool.
How to verify successful configuration
- Run the database connection test command to verify that the configurations for
MONGODB_URIandPG_URLcan properly connect to the corresponding database instances. - Access the configured
FE_DOMAINto confirm that the frontend page loads normally, with no permission error or resource loading failure prompts. - Trigger an incremental synchronization task and check that the logs contain no database connection timeout or data mapping failure error messages.
- Enter the platform's super administrator configuration page, complete verification using the configured
ROOT_KEY, and confirm that basic platform configuration can be modified normally.
The values provided are common starting points and should be evaluated against the user’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.