What data is included in this category
Data sources for this category include the national land spatial planning unified map, project approval and supervision platform, current land use database, and ecological protection redline data. Daily documents include land pre-examination and site selection opinion, construction land planning permit, construction engineering planning permit, redline drawing, and planning conditions. Fields cover project ID, land scope coordinates, land scale, control requirements, and others. Data updates have no fixed cycle, and sync with project approval progress or land spatial planning adjustments. Data exists in two formats: structured forms and spatial vector files. Cross-system information integration is required to complete ledger sorting and report generation.
What constraints do these characteristics impose on workflow orchestration
Decentralized data sources with non-fixed update cycles require workflows to support dynamic cross-system data pulling. Configure variables to store temporarily integrated project information. Multi-format data requires unified structured processing. Add format conversion nodes to workflows to adapt to mapping between vector files and form fields. Ledgers must cover progress across all approval nodes. Trigger ledger updates per project node to avoid missing precondition verification steps. Reports must link spatial data. Reserve spatial data reference entrances in workflows to ensure generated reports include compliance check basis. Set reasonable timeout limits for cross-system pulling to prevent workflow interruptions caused by external platform response delays.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
variables | Create per project, include project ID, land scope, precondition list | Uniformly store cross-system integrated project information to avoid data loss during inter-node transmission |
| Data Pull Timeout | 600 seconds | Match average response duration for cross-system data pulling, avoid unlimited workflow waiting |
| text2sql Configuration | Link structured fields from the national land spatial planning unified map | Extract fields required for compliance checks from project approval data, generate corresponding SQL statements |
| AI Chat Node | Turn off the temperature switch, or turn on the temperature switch and set it to 0 | Ensure report content conforms to fixed compliance statements, reduce randomness |
| Text Export Component | Remove leading line breaks, output in Markdown format | Adapt to typesetting requirements for ledgers and reports, avoid format deviations in generated content |
nodeId | Assign a unique identifier to each approval node | Quickly locate abnormal nodes in workflows, facilitate troubleshooting of failed runs |
Three Common Misconfigurations
- Phenomenon: After exporting the workflow and associated JSON file, importing it to another environment causes referenced plugins in the workflow to fail to load normally. Cause: The local deployment path of the plugin was not synchronized during import, and only the workflow configuration file was copied, leading to reference failure.
- Phenomenon: The string returned by the text export component starts with a line break, which does not meet typesetting requirements. Cause: The default setting of automatically adding a leading line break was not disabled in the configuration, resulting in extra format deviations in generated content.
- Phenomenon: When configuring the AI chat node, both turning off the temperature switch and turning on the temperature switch and setting it to 0 are used, and there is no obvious difference in the generated report content. Cause: In the FastGPT AI chat node, when the temperature switch is off, the default temperature is 0, which has the same effect as setting it to 0. Scenarios requiring fixed expressions and flexible adjustments were not distinguished according to business needs.
How to Verify Successful Configuration
- Check if the project fields stored in
variablescover core information such as land scope and precondition list, and verify consistency between fields and business documents. - Trigger a workflow test, check if the content returned by the text export component has leading line breaks, and confirm that the configuration takes effect.
- Import the workflow to a test environment, check if associated plugins load normally, with no missing error prompts.
- Run the text2sql node to query data from the project approval and supervision platform, confirm that the returned fields match the business data structure of this category.
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.