What this category of data looks like
Data sources for this category include the National Pollution Discharge Permit Management Information Platform, corporate environmental protection ledgers, online monitoring systems, and environmental statistics systems. Daily documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Data is updated quarterly. Core fields include permitted emission limits, monitoring indicators, ledger cycles, change items, and more. Units use standard environmental industry units such as pollutant concentration (mg/m³) and emission volume (tons/year).
What constraints these characteristics impose on deployment and upgrades
Reference only; verify against the target FastGPT release and deployment documentation. Data sources for this category are scattered, with fixed update cycles. During deployment, adapt multi-source data access configurations to ensure data synchronization from channels including the National Pollution Discharge Permit Management Information Platform and corporate ledgers. Multiple document types are involved. Deploy a parsing module compatible with multiple formats to adapt to different document structures such as application forms and implementation reports. Pollution discharge permit management involves compliance supervision. Data storage must meet confidentiality requirements. Prioritize private deployment storage services during deployment. The quarterly update feature requires scheduled synchronization tasks. Complete stock data backup before upgrading to avoid regulatory errors caused by interrupted updates. Errors may lead to compliance penalties. Configure an abnormal alarm link to trigger notifications promptly when data verification fails.
How to configure settings
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
DB_MAX_LINK | 20–30 connections | This category has large quarterly data volume. Balance connection count and memory usage, calibrated based on actual testing |
MONGODB_URI | Point to a locally or private cloud deployed MongoDB instance address | Store unstructured documents such as pollution discharge permit ledgers and implementation reports, ensuring data storage security |
REDIS_URL | Configure as a local Redis service address, with a memory quota of 1000 MB | Cache frequently queried permitted emission limit and monitoring indicator data to reduce access latency from multiple data sources |
STORAGE_S3_ENDPOINT | Point to the enterprise internal object storage service endpoint | Store large-volume documents such as pollution discharge permit copies and self-monitoring plans, meeting industry data retention requirements |
FE_DOMAIN | Configure as the internal office domain name or exclusive access address | Limit the access scope of work consultation and reply, only accessible to ecological environment departments and compliant institutions |
ROOT_KEY | Generate in accordance with enterprise internal key management specifications | Configure system administrator permissions to prevent unauthorized users from modifying core configurations related to pollution discharge permits |
Three common configuration errors
- The
aiproxycontainer throws acurl: (7) Failed to connecterror after startup. Container logs show failed external service connections. The cause is incorrect configuration ofSTORAGE_S3_ENDPOINTor the service pointed to byREDIS_URLnot starting normally. - Document parsing errors occur after upgrading the version. Old versions of pollution discharge permit copies cannot extract core field information normally. The cause is failure to migrate the parsing format of stock documents in advance, and failure to adapt to the document processing logic of the new FastGPT version.
- The
DB_MAX_LINKvalue is set too high. The database connection pool is exhausted, and the page returns a 503 status code. The cause is failure to adjust the connection count based on the quarterly data volume of this category, causing memory usage to exceed server quotas.
How to verify a successful configuration
- Run the
docker pscommand. Confirm that all containers related tofastgpt,redis,mongodb, andaiproxyare running normally. - Upload a pollution discharge permit application form document. Verify that core fields such as permitted emission limits and monitoring indicators can be extracted normally after parsing.
- Initiate a simulated work consultation query. Confirm that the system can return a corresponding implementation report verification result, with no null values or incorrect returns.
- View the
aiproxycontainer logs. Confirm there are nocurlconnection failure or timeout errors, verifying that the service link is working properly.
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.