What data for this category looks like
Core data for this category comes from online monitoring platforms, automatic pollution source monitoring data, ecological environment law enforcement systems, and third-party test reports. Daily processed documents include on-site inspection records, sampling records, monitoring reports, order for correction decisions, and administrative penalty decisions. Data is updated daily. Core fields include inspection points, sampling time, monitoring values, penalty basis, and other relevant fields. Field structures vary across different documents, so they must be matched one by one according to business processes. Typical processing entities are ecological environment law enforcement detachments and monitoring stations. Data flow must cover the full cycle of on-site collection, background review, and document generation.
What constraints these characteristics impose on the "workflow orchestration" link
Data sources are diverse and updated daily. Workflows must be configured with multiple data source pull nodes to regularly sync the latest online monitoring and law enforcement system data. Field structures differ significantly across documents. Exclusive processing nodes must be bound to each document type to prevent process interruptions caused by field mismatches. Data flow involves cross-stage transfer from on-site collection to background review. Core business fields must be passed via variables to ensure each node can access correct law enforcement and monitoring data. Errors directly affect the efficiency of pollution incident handling. Workflows must be configured with failure retry and exception alert nodes to prevent issues such as unaddressed excessive emissions or insufficient penalty evidence.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Timeout Setting | 600 seconds | Matches the daily data update processing cycle to avoid process interruptions from single-run timeouts |
| Loop Body Configuration | Maximum 3 levels of nesting | Adapts to multi-batch data processing needs when generating law enforcement documents, and aligns with common nested usage scenarios in the community |
variables Configuration | Includes on-site inspection number, monitoring point ID, and penalty reason fields | Covers core business fields for daily documents, ensuring correct data transfer between workflow nodes |
| Database Connection Configuration | 1000 MB connection pool upper limit | Adapts to scenarios with simultaneous connections to multiple data sources, and provides a basis for troubleshooting cases where connections work locally but time out in containers |
| Environment Variable Configuration | Add according to deployment requirements | Aligns with FastGPT v4.17.0 deployment specifications, and resolves issues with missing compose file configurations mentioned in the community |
nodeId Configuration | Bind corresponding processing nodes by document type | Differentiates processing logic for different documents such as on-site inspection records and monitoring reports, avoiding field mismatches |
Three Common Mistakes
- Symptom: Workflow runs return
connect ETIMEDOUTerrors, and database access works locally. Cause: Database connection timeout parameters are not configured invariables, or required environment variables are not added to the docker-compose file. - Symptom: After loop body nesting runs, only one layer executes, and inner loop logic is not triggered. Cause: Loop body node binding rules are not set correctly, causing the inner loop's
nodeIdto not be associated with the corresponding processing node. - Symptom: Law enforcement documents generated after workflow trigger have empty fields and cannot be formally submitted. Cause: Core business fields are not added to the
variablesconfiguration, preventing data transfer between workflow nodes.
How to Confirm Proper Configuration
- View the workflow variable configuration panel to confirm all core business fields have been added to the
variablesconfiguration. - Run the database connection test node to confirm no
connect ETIMEDOUTerrors occur, verifying normal connection. - Attempt to configure a multi-level loop body, then run it to verify whether the inner loop executes as expected.
- Check the docker-compose file to confirm all required environment variables have been correctly added to the configuration.
The values provided 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.