Service Consultation and Reply for Land Pre-examination and Planning Permission: Deployment and Upgrade

Service Consultation and Reply for Land Pre-examination and Planning Permission: Deployment and Upgrade

What the data for this category looks like

Data for land pre-examination and planning permission service consultations originates from the land spatial planning one-map, project approval and supervision platform, current land use database, and ecological protection red line data. Update frequency is irregular. Daily interaction documents include land pre-examination and site selection opinions, construction land planning permits, construction project planning permits, red line maps, and planning conditions. Core fields include project number, land area, planning control indicators, red line coordinates, and others. There is no unified fixed maximum word count per document. Parse documents according to the format of actual approval files.

What constraints do these characteristics impose on the deployment and upgrade process

This category of data originates from multiple government department platforms, with heterogeneous formats and no fixed update cycle. During deployment, adapt multi-source data docking and incremental synchronization logic. Daily interaction documents include unstructured files such as vector red line maps and planning conditions. Configure targeted document parsing rules. Business data includes core project approval information. Enforce strict data isolation and access permission control during deployment. During upgrades, avoid damaging the consistency of existing approval data. Support the process of migrating old configurations to environment variables to reduce business interruption risks. FastGPT v4.17.0 and later versions have optimized configuration migration logic to simplify upgrade steps.

How to configure settings

Configuration ItemRecommended ApproachRationale
MONGODB_URIConnect to the dedicated MongoDB instance for natural resources department approval and supervision platforms, configure read-write separation addressesBusiness data storage requires isolation and ensures read-write performance for approval data
REDIS_URLBind to an internally deployed Redis cache instance, set connection password and database index, configure maximum memory as 2048 MBUsed to cache planning control rules and red line data for high-frequency queries, reducing cross-database query latency
DB_MAX_LINK100–150 connectionsAdapt to the database connection count requirements for concurrent consultations across multiple departments, avoid connection exhaustion
FILE_TOKEN_KEYGenerate a key in accordance with natural resources department document encryption specifications, set token validity period as 24 hoursUsed to sign access tokens for confidential documents such as red line maps and planning conditions, ensuring data security
STORAGE_S3_ENDPOINTConfigure as the government cloud S3 endpoint, set upload file size limit as 100 MBUsed to store approval documents such as red line maps and planning conditions, complying with government storage requirements

Three common misconfigurations

  • Phenomenon: Connection to a cloud RDS instance is rejected, with status code 10060. Cause: The public IP of the FastGPT deployment node is not added to the RDS whitelist, or the whitelist only configures local test IPs.
  • Phenomenon: Startup error occurs after upgrading to FastGPT v4.8.20, prompting that the config.json configuration item cannot be found. Cause: Old configurations are not fully migrated to environment variables, and startup commands dependent on config.json are still retained.
  • Phenomenon: Expired planning control rules appear in consultation results. Cause: Data incremental synchronization tasks are not configured, and old full synchronization configurations are still used, resulting in delayed data updates.

How to verify proper configuration

  • Run the built-in database connectivity test tool to verify that connections for MONGODB_URI and REDIS_URL have no timeout or permission errors.
  • Upload a real land pre-examination and site selection opinion document to verify that core fields such as project number and land area can be correctly extracted after parsing.
  • Initiate a simulated service consultation to check that the planning data referenced in the returned results matches the latest content of the current land spatial planning one-map.
  • Check the security group and access control policies of the deployment node to confirm that only government extranet access ports are open, with no public network exposure risks.

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.