Reference only; verify against the target FastGPT release and deployment documentation.
What the Data for This Category Looks Like
The data sources for this category are the national unified construction project environmental impact assessment declaration and approval system, ecological environment zoning control results, pollution discharge permit platform, and monitoring data. Data update frequency is irregular, and changes with the progress of individual construction projects. Daily documents include environmental impact assessment reports or report forms, approval applications, public participation explanations, technical evaluation opinions, and environmental impact assessment approvals. The document structure covers basic project information fields, long-text technical analysis content, and form-based approval data. Fields include project category, environmental impact assessment level, pollution prevention measure list, public participation feedback records, and other similar items. There is no fixed unified batch data format.
What Constraints These Characteristics Impose on the Workflow Orchestration Link
Since data sources involve multiple heterogeneous systems, workflows must be configured with cross-system data pull nodes. This ensures project information and monitoring data from different platforms are synchronously imported into the process. Documents have complex structures and inconsistent formats, so workflows must support multiple types of nodes including long-text parsing and image upload processing. Data updates have no fixed cycle, so workflows must support on-demand triggering to adapt to temporary progress needs of individual projects. The most time-consuming manual tasks are verifying project categories and environmental impact assessment levels, and reviewing pollution prevention measures and public participation content. Workflows must automate these tasks to reduce repetitive manual operations. Error consequences are severe, so workflows must be configured with verification and failure retry nodes. This avoids project delays or accountability caused by incorrect flow routing.
How to Set Configurations
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
variables | Bind basic environmental impact assessment project information, monitoring image file paths, and ecological environment zoning control data from the global knowledge base | Achieve unified import of project-specific data and globally shared data, reducing repeated configuration |
nodeId | Assign unique identifiers to image upload, base64 conversion, AI analysis, and cross-system data pull nodes | Ensure accurate workflow node execution order and call links, avoiding node call confusion |
| File upload node | Support jpg, png file formats, with a single file maximum size of 1000 MB | Adapt to common format and size specifications for on-site survey photos of environmental impact assessments and monitoring report attachments |
| base64 conversion node | Fully read file byte streams for conversion, no truncation processing | Ensure complete transmission of image information to subsequent AI analysis nodes, avoiding encoding loss |
| Timeout setting | 600 seconds | Adapt to the relatively long time requirements of environmental impact assessment document parsing and cross-system data pull, avoiding mid-execution interruptions |
| API call node | Pass pre-configured variables global variables | Reuse global knowledge base data, simplifying the workflow parameter configuration process |
Three Common Mistakes
- Symptom: The base64 encoding result is empty after workflow execution, and cannot be passed to subsequent AI nodes. Cause: Full byte stream reading is not enabled in the file upload node, and only file metadata information is read.
- Symptom: An API call to the workflow returns a parameter error, prompting that the global variable is not bound. Cause: Required knowledge base data fields are not declared in the
variablesconfiguration item, or field names do not match the global variable configuration. - Symptom: Workflow execution times out and is interrupted. Cause: A reasonable timeout duration is not set, or retry nodes are not configured when pulling environmental impact assessment data across systems, with single request time exceeding system limits.
How to Confirm Proper Configuration
- Upload an environmental impact assessment-related monitoring photo, trigger the workflow, and check the output log of the base64 conversion node to confirm the encoding result is not empty.
- Call the workflow API, pass the preset project ID parameter, and check whether all returned node execution statuses are successful.
- Review the
variablesconfiguration of the workflow to confirm that the ecological environment zoning control data fields in the global knowledge base have been bound. - Adjust the timeout setting to 300 seconds, simulate a long-time task, and verify whether the workflow can complete core node execution within the adjusted duration.
The values provided here are common starting points, and should be evaluated 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.