What Data Does This Category Include?
The 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. The update frequency is daily. Commonly produced documents include on-site inspection records, sampling records, monitoring reports, order for correction decisions, and administrative penalty decisions. Each document has fixed fields such as sampling points, monitoring factors, concentration values, law enforcement time, and rectification requirements. Some monitoring data uses professional units such as micrograms per cubic meter and milligrams per liter. Law enforcement documents include standardized fields such as law enforcement entity, opposing party name, and illegal facts.
What Constraints Do These Characteristics Impose on Workflow Orchestration?
Data for this category is multi-source, heterogeneous, and updated daily. Configure the workflow with a daily scheduled trigger node to ensure synchronization of the latest online monitoring, law enforcement system, and third-party test data. Different document types have widely varying field structures. On-site inspection records focus on law enforcement scenario fields, while monitoring reports focus on monitoring parameters. Configure differentiated field extraction rules based on document type. Professional monitoring data includes professional units. Retain unit information in the workflow to avoid data analysis distortion. Standardized fields in law enforcement documents require accurate matching of fixed fields in the workflow. This ensures generated reports meet supervision requirements. Differences in multi-source data formats require adding a data cleaning step to the workflow. This unifies data structures from different sources.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled Trigger Frequency | Daily 2:00 AM to 4:00 AM | Avoids peak hours for law enforcement and monitoring operations to reduce system conflicts |
| Data Source Node Type | HTTP request node, local file import node | Covers two data sources: online monitoring platform API, third-party test report upload |
variables | Preset monitoring factors, law enforcement time, rectification requirements by document type | Matches fixed fields of different document types for easy call during report generation |
| Node Execution Timeout | 600 seconds | Adapts to average time required for multi-source data synchronization and report generation |
| File Preview Associated Configuration | Bind original file storage path | Supports online preview of the original file corresponding to referenced fragments |
nodeId | Configure unique identifiers in data flow order | Clarifies execution order of each workflow node for easy troubleshooting |
| Single Recall Result Limit | Top 10 entries | Adapts to field extraction needs for law enforcement and monitoring documents to avoid redundant data |
| Single File Upload Limit | 1000 MB | Adapts to large document requirements for third-party test reports |
Three Common Misconfigurations
- Symptom: Workflow-generated report links cannot open the original document, only display knowledge base slice fragments. Cause: Did not bind the actual storage path of the original file via
variables, only called sliced fragment information. - Symptom: Workflow test returns status code 500, node execution fails. Cause: Did not configure a format conversion step for multi-source heterogeneous data, resulting in inability to uniformly parse data from different sources.
- Symptom: HTTP request node calls a local script interface with no return content. Cause: Did not correctly set the node's request timeout parameter, or did not open network access permissions for the corresponding port.
How to Verify Successful Configuration
- Trigger the workflow once, check if each data source node successfully pulls the corresponding type of document, and verify that the data update time matches the current day's date.
- Review the
variablesconfiguration of the workflow, confirm that fixed fields for corresponding document types have been preset, and call them in test nodes for verification. - Click the file link in the report, confirm that it jumps to the online preview page of the original file.
- Review the
nodeIdconfiguration of the workflow, confirm that the execution order of each node matches the data flow logic, with no missing nodes or reversed order.
The values provided here are common starting points, and should be evaluated against the samples relevant to the actual deployment.
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.