What data for this category looks like
Daily documents for this category include national land spatial overall plans, detailed plans, special plans, planning implementation evaluation reports, and public opinion summaries. Data comes from the national land spatial basic information platform, natural resource survey and monitoring data, population and economic statistical data, and remote sensing images. Data is updated once per year. Data contains spatial coordinates, land use area, control indicators, and population and economic related fields. Common units are hectares, square kilometers, and ten thousand people. Single planning documents have large data volumes. Formats include structured tables and unstructured text and image content.
Constraints on deployment and upgrade
The annual batch-updated data, multi-source spatial formats, and large-volume documents of this category impose clear constraints on the deployment process. Annual updated batch planning data requires support for large-file batch upload and synchronization workflows. Multi-source spatial data has diverse formats, so it must be compatible with multiple parsing plugins including vector and raster formats. Large-volume remote sensing images and planning drawings require sufficient storage resource allocation. Data fields include spatial coordinates and statistical indicators, so compatibility between vector databases and relational databases must be verified. Since errors may delay planning approval, deployment must guarantee service stability. Upgrade processes must reserve rollback windows.
How to set configurations
The following configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
STORAGE_S3_ENDPOINT | http://minio.example.com:9000 | This category has large remote sensing images and planning drawings. Configure an S3-compatible object storage address to ensure stable storage of large files |
REDIS_URL | redis://:password@redis-host:6379/0 | Used to cache spatial data parsing results and user sessions. Configure a high-availability address to avoid cache breakdown during annual updated batch tasks |
DB_MAX_LINK | 20–30 | This category has many multi-source data association queries. Set a reasonable maximum database connection count to avoid connection pool exhaustion |
PG_URL | postgresql://user:password@pg-host:5432/land_plan | Used to store structured planning indicators and ledger data. Configure a dedicated relational database address to ensure data query efficiency |
FILE_TOKEN_KEY | Random string calibrated through actual testing | Used to generate file access tokens to prevent unauthorized access to planning documents and remote sensing image data |
Three common misconfigurations
- Symptom: After land spatial planning drawings are uploaded, the file parsing node shows no task execution, and the log displays an "unsupported file format" error. Cause: Parsing plugins compatible with vector drawings and remote sensing images are not installed, or the parsing plugin configuration path is incorrect.
- Symptom: After Docker deployment is completed on a Windows environment, the platform page cannot be accessed via the local address, and the browser shows a connection timeout. Cause: Docker port mapping configuration is incorrect, or the local firewall blocks the exposed port.
- Symptom: A database connection timeout error occurs during batch upload of annual updated data. Cause: The
DB_MAX_LINKconfiguration value is too low, causing the concurrent connection count to exceed the limit and failing to handle the batch data import task.
How to confirm successful configuration
- The
docker logs fastgptcommand is executed to view connection logs for the database and storage services, and confirm there are no error messages. - A small planning document is uploaded, and after parsing completes, the parsed text and fields are checked to confirm they match the original document.
- The platform settings page is accessed, and the values of configuration items such as
STORAGE_S3_ENDPOINTandPG_URLare verified to match the actual deployment environment. - A batch data import test is initiated, and the task is confirmed to execute normally and generate ledger data.
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.