What the data for this category looks like
Data for this category comes from the road transport administration system, the National Road Transport Vehicle Dynamic Information Public Service Platform, and the vehicle and practitioner database. It is updated daily. Processed documents include business license application materials, vehicle technical files, driver qualification materials, safety production management systems, and road transport business licenses. Data fields include license ID, vehicle license plate number, practitioner qualification number, site address, business scope, and other content related to qualifications and operations across the entire business license process.
Constraints on Deployment and Upgrade
Data for this category is updated daily and sourced from multiple dispersed locations. During deployment, configure synchronization links for multiple data sources. This ensures automatic daily pulling of the latest vehicle dynamic information, practitioner information, and license application data. Document types include structured ledgers and unstructured qualification files. Adapt parsing and storage rules for multiple formats. Since data directly relates to business license eligibility and validity, strictly verify data field mapping relationships during deployment. This avoids missing key information in ledgers due to configuration errors. During upgrades, retain existing data synchronization configurations. This prevents interruptions to the daily update process, which would affect the timeliness of subsequent report generation.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PG_URL | postgresql://username:password@host:5432/road_transport?schema=public | Connect to structured ledger data from the road transport administration system |
REDIS_URL | redis://:password@host:6379/0 | Cache frequently queried license information and statistical results |
DB_MAX_LINK | 20–30 | Adapt to daily high-frequency ledger summary and report generation tasks |
STORAGE_S3_ENDPOINT | Configure according to the actual address of the local object storage | Store unstructured data such as vehicle technical files and qualification documents |
FILE_TOKEN_KEY | Set based on actual measurement | Protect access permissions for uploaded sensitive qualification documents |
MONGODB_URI | mongodb://username:password@host:27017/ | Store unstructured business license application materials |
Three Common Misconfigurations
- Symptom: AI conversation variables in the workflow cannot obtain output from code runs. Cause: After upgrading FastGPT, the variable mapping rules for workflow nodes are not rebound, causing the output of the code execution node to fail to reach the AI conversation link.
- Symptom: The fastgpt-sandbox image cannot be pulled in a Docker deployment environment. Cause: The image pull repository address is not configured, or the image is not pulled from the official channel and imported to the local repository in advance.
- Symptom: Vehicle dynamic data is missing from ledger summary results. Cause: The data source connection parameters for the National Road Transport Vehicle Dynamic Information Public Service Platform are not correctly configured, causing daily data synchronization to fail.
How to Verify Successful Configuration
- Run a manual data synchronization task, check whether the synchronized ledger data includes license information and vehicle dynamic data from the road transport administration system.
- Access the configured
FE_DOMAINaddress, verify that the front-end interface of FastGPT v4.17.0 can load the ledger summary and report generation module normally. - Upload a test driver qualification material, confirm that the file storage path complies with the configuration requirements of
STORAGE_S3_ENDPOINT. - Run a preset workflow test, verify that AI conversation variables can correctly obtain the ledger statistical results from code run outputs.
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.