What data for this category looks like
Data for this category comes from engineering construction project approval management systems, construction drawing review systems, enterprise qualification databases, and public credit platforms, with a daily update frequency. Commonly processed documents include construction permit applications, construction drawing review qualification certificates, quality and safety supervision procedures, completion record forms, and similar items. Most are structured forms or compliance check texts. Fields cover participating construction unit qualification levels, approval node status, material numbers, and compliance check items. There is no unified fixed unit field, with most using text identifiers for corresponding business attributes.
What constraints do these characteristics bring during deployment and upgrade
Most data sources for this category are internal government systems. When deploying, interfaces of existing engineering approval management systems must be connected, with high stability requirements for database connection parameters. Commonly processed documents are mostly structured approval materials with large individual file sizes, so configuration for large file upload and parsing must be adapted. The daily incremental data synchronization requirement requires configuring stable scheduled task trigger rules during deployment. Additionally, document fields involve professional content such as qualification verification and approval status, so the text processing module must be adapted to the format and semantics of government approval documents to avoid parsing deviations.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 connections | Adapt to daily high-frequency database connection requests from government systems, avoid connection pool exhaustion affecting synchronization tasks |
MONGODB_URI | Fill in the dedicated connection address of the local government approval system synchronization database | Used to store daily incremental approval material metadata, align with storage specifications of business data sources |
STORAGE_S3_ENDPOINT | Configure the dedicated address of the internal government cloud storage node | Adapt to storage requirements for large-volume approval documents, ensure stable upload and parsing processes |
REDIS_URL | Configure the local cache service address, set timeout to 600 seconds | Used to cache frequently queried qualification verification data, reduce call frequency to government system interfaces |
FE_DOMAIN | Fill in the official domain name of the internal approval system | Ensure normal front-end call links for document generation modules, avoid cross-domain access issues |
Three common misconfigurations
- Failure to locate the text processing module after deployment: Symptoms include no text processing module entry in the backend management interface. Causes include not enabling the government document-specific model adaptation plugin in the initial configuration, or not loading corresponding module dependency packages during image pulling.
- Upload error of offset out of range when uploading large PDF files such as completion record forms: Symptoms include an offset out of range prompt on the upload interface and parsing failure. Causes include not configuring storage endpoint parameters adapted for large files, or file parsing interruption due to database connection pool restrictions.
- Image pull failure during local Docker deployment: Symptoms include terminal prompts for image pull timeout or resource non-existence. Causes include not configuring the internal image repository address, or network policies restricting access to official image sources, making it impossible to pull FastGPT image versions adapted for government scenarios.
How to verify successful configuration
- Perform a database connection test to verify that the connection pool configured via
DB_MAX_LINKcan normally handle the daily synchronization request volume. - Upload a single approval document over 100 MB, confirm that the upload process is not interrupted, and core fields such as participating construction unit qualifications and approval nodes can be normally extracted after parsing.
- Check the scheduled synchronization task logs to confirm that daily incremental approval material data can be normally written to the configured database.
- Access the configured
FE_DOMAINaddress to confirm that the text processing module can load normally and recognize professional fields of government approval documents.
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.