Declaration Materials and Case Review for Expressway Operations: Deployment and Upgrade

Declaration Materials and Case Review for Expressway Operations: Deployment and Upgrade

What the data for this category looks like

Expressway operations declaration materials and case review data primarily originates from toll audit systems, road law enforcement terminals, traffic record databases, and enterprise OA systems. Data updates follow two modes: real-time trigger and daily batch processing. Real-time data includes individual toll payment supplement applications and law enforcement site photo metadata. Batch data consists of monthly case summary packages. Each document contains two parts: structured fields and attachments. Structured fields include case number, vehicle license plate, traffic section, and payment amount, with units of none, character, kilometer, and yuan respectively. Most attachments are PDF-format law enforcement documents and payment vouchers, and single attachment sizes vary significantly.

What constraints these characteristics impose on deployment and upgrade

The mixed structured and unstructured data characteristic requires adapting both relational databases and object storage during deployment, to avoid performance bottlenecks from single storage solutions. Real-time updated case data requires high-frequency synchronization with the vector database. If sufficient connection pool resources are not reserved during deployment, data synchronization delays may occur, which impacts review timeliness. The wide variation in attachment sizes requires adjusting file upload timeout thresholds and chunk size parameters during upgrade, to prevent large file transfer failures. Additionally, the need for multi-system data docking requires configuring unified authentication rules during deployment, to avoid permission issues during cross-system calls.

How to Set Configurations

Configuration ItemRecommended SettingRationale
DB_MAX_LINK20–30 connectionsAdapts to the concurrent query volume of expressway operation systems, prevents database connection exhaustion
REDIS_URLcluster address with access passwordCaches case review results and file upload status, reduces database load from repeated queries
STORAGE_S3_ENDPOINTinternal network endpoint corresponding to the cloud service providerReduces upload and download latency for large case attachments, improves review efficiency
FILE_TOKEN_KEY32-bit random stringEnsures authentication security for the file upload interface, prevents unauthorized file submissions
ROOT_KEYkey only known to internal operations staffRestricts sensitive operation permissions in the FastGPT backend, prevents accidental configuration changes
FE_DOMAINpublic domain name of the deployment instanceConfigures valid domains for frontend access, prevents cross-origin request interception

Three Common Mistakes

  • Phenomenon: After deploying FastGPT locally, when adding a new model, the test interface returns a 403 status code (no body). Cause: ROOT_KEY or FE_DOMAIN is not configured correctly, leading to failed interface authentication verification.
  • Phenomenon: The upgrade plan cannot be found in the documentation interface, and the current latest FastGPT version v4.17.0 cannot be confirmed. Cause: The latest code or image has not been pulled from the official Git repository, or the version identification field in the configuration file has not been updated.
  • Phenomenon: After calling the file upload API, it is impossible to determine whether file data and indexing are complete. Cause: The callback interface associated with FILE_TOKEN_KEY is not configured, or file processing status in the Redis queue is not monitored.

How to Confirm Configurations Are Correct

  • Run the database connection test script, confirm that the current connection count stays within the range of 20–30 connections, with no connection timeouts or disconnections.
  • Upload a case attachment of approximately 100 MB, verify that the storage bucket configured via STORAGE_S3_ENDPOINT can normally receive files, and that file metadata is correctly written to the database.
  • Call the test interface for adding a new model, send a request using a valid ROOT_KEY, confirm that no 403 error is returned, and the interface functions normally.
  • View the Redis queue logs, confirm that cache data for case review has been correctly written, and that the file processing status marker has been updated to completed.

The values provided are common starting points and should be evaluated 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.