Policy and Regulatory Basis Q&A for Land Pre-examination and Planning Permit: Workflow Orchestration

Policy and Regulatory Basis Q&A for Land Pre-examination and Planning Permit: Workflow Orchestration

What the Data for This Category Looks Like

The data sources for this category include the National Land Space Planning One Map, project approval supervision platform, current land use database, and ecological protection redline data. Update frequency is irregular. Daily associated documents cover Land Pre-examination and Site Selection Opinion, Construction Land Planning Permit, Construction Engineering Planning Permit, redline drawings, and planning conditions. Data fields include project site selection scope, land scale, planning control requirements, approval node status, and others. There are no unified mandatory unit requirements, and fields are dynamically generated along the project approval process.

Dispersed data sources with irregular update cycles require workflows to support dynamic invocation of multiple data sources and incremental synchronization configuration. Avoid using retrieval logic with fixed cache periods. Diverse daily document types require workflows to adapt to format recognition rules for different documents. Configure format parsing nodes separately for drawing documents such as redline drawings and planning conditions. Project approval processes require cross-departmental coordination of preconditions. Workflows must support status verification and parallel triggering between nodes to ensure the accuracy of verification steps. Errors directly affect project approval and construction initiation. Configure failure rollback and alert nodes in the workflow to ensure compliance of the approval process.

How to Configure the Settings

Reference only; verify against the target FastGPT release and deployment documentation.

Configuration ItemRecommended ValueRationale
variablesOnly bind project-specific approval data variablesEnsure only data related to land pre-examination and planning permit for the corresponding project is called, avoiding cross-project data interference
nodeIdConfigure according to the actual generated ID of the workflow nodeEnsure the call chain for each workflow node is accurate, avoiding node matching errors
Single retrieval limitTop 8 entriesAdapt to the number of scattered multi-source documents in this category, filtering redundant information
Context window600–1000 charactersMatch the average length of daily approval documents, fully extracting policy and planning basis
Timeout threshold500 secondsAdapt to the time consumed by multi-data source synchronization and format parsing, avoiding process interruption

Three Common Mistakes

  • The workflow knowledge base variables reference has no optional values, and global variables cannot be called directly. This occurs because project-specific land pre-examination and planning permit data is not bound to the variable configuration scope of the workflow.
  • An axioserror occurs when the code node is executed. This occurs because nodeId is not configured correctly, or the timeout threshold is lower than the actual time consumed by multi-data source synchronization.
  • Workflow call fails, prompting an ID format error. This occurs because 24-bit hexadecimal characters are not used as the workflow ID, which does not meet system requirements.

How to Confirm the Configuration Is Complete

  • Manually trigger the workflow, and check if variables only loads approval data for the corresponding project, with no cross-project redundant information.
  • Copy the workflow nodeId, and verify in the system debugging tool whether the call can normally return node configuration.
  • Simulate a project approval scenario, input policy query questions, and check if the returned documents include relevant basis for land pre-examination and planning permit.
  • View the workflow running logs, confirm that the timeout threshold does not trigger interruption, and all node execution statuses are successful.

The values provided here are common starting points, and should be adjusted based on 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.