About This Page
- Client industry: Public data catalogs and open data
- Business direction: Document and material drafting
- Capability area: Deployment and upgrade
What Data in This Category Looks Like
Core data sources for this category include local public data open platforms, integrated big data platforms, departmental business databases, and electronic certificate repositories. The update cycle is monthly. Daily produced documents include public data resource catalogs, data open lists, data item descriptions, desensitization rules, interface documents, and update frequency descriptions. Most document structures include fields such as data item identifier, open subject, authorization scope, desensitization method, interface call address, and update frequency. These documents must meet standardized format requirements for government data management.
Constraints Imposed on Deployment and Upgrade
The monthly update rhythm requires configuring a stable incremental sync trigger mechanism during deployment, to adapt to concurrent connection needs for multi-source data. Processing multiple document types requires presetting storage and parsing rules compatible with different formats, to avoid parsing failures due to format mismatches. The diversity of fields requires reserving flexible field mapping configurations during deployment, to ensure catalog content matches actual open data. To mitigate risks of data leaks and catalog inconsistencies, upgrade steps must synchronously update permission verification and data consistency verification configuration items, to ensure compliance with government data management requirements.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–200 connections | Adapts to concurrency needs for monthly batch data synchronization, avoids exhausting database connections |
STORAGE_S3_ENDPOINT | Fill in the endpoint provided by the government cloud storage service provider | Used to store backups of public data catalogs and parsed document fragments |
REDIS_URL | Address of the dedicated Redis instance for the government intranet | Used to cache data update status and user permission information, ensuring access efficiency |
MONGODB_URI | Fill in according to the MongoDB instance configuration of the data source | Used to store unstructured desensitization rules and interface document content |
PG_URL | Address of the dedicated PostgreSQL instance for government databases | Used to store structured public data catalog fields and update records |
FE_DOMAIN | Compliant domain name of the government service portal | Used to generate document access links that meet government system requirements |
Three Common Misconfigurations
- After uploading an Excel file of the public data catalog, no parsing results are displayed, and the interface shows parsing failed. The cause is that
FILE_TOKEN_KEYis not configured to match the file storage permissions of the government intranet, making it impossible to read document files from local or cloud storage. - An untriggered model call error log appears during workflow operation. The cause is that the permission configuration for
ROOT_KEYwas not synchronously updated after an upgrade, causing workflow nodes to fail to call compliant model interfaces. - After monthly data synchronization, field missing occurs between the public data catalog and actual open data. The cause is that a reasonable value for
DB_MAX_LINKwas not configured, causing some data items to fail to complete writing during batch synchronization, resulting in inconsistencies between the catalog and actual data.
How to Verify Successful Configuration
- Navigate to the domain configured via
FE_DOMAIN, and confirm that document preview links successfully redirect to compliant government intranet addresses. - Perform a small-scale incremental sync test, and check whether the update status cached in
REDIS_URLis updated normally. - Upload a standard public data resource catalog template, and check whether parsed fields match the storage structure configured in
PG_URL. - Verify the storage permissions of
STORAGE_S3_ENDPOINT, and confirm that parsed document fragments can be successfully uploaded to the specified storage location.
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.