What Data for This Category Looks Like
Data for this category comes primarily from the 12345 citizen hotline platform, contractor business systems, knowledge bases, return visit evaluation data, and local hotline management regulations. Document-type materials processed daily include request registration forms, dispatch records, handling responses, return visit records, extension applications, return explanations, and knowledge base entries. Fields cover request number, call time, contractor unit, request content, response script, return visit score, and more. Data updates occur daily, and dataset scale fluctuates with public request volume.
What Constraints These Characteristics Impose on Deployment and Upgrade
Data sources include multiple systems such as the 12345 citizen hotline platform and contractor business systems. Configure storage connections for multi-source data during deployment to ensure unified access to work order data from all sources. Daily updated work order data volume fluctuates with public request volume. Configure appropriate storage to handle peak demand. Document-type materials include government-specific fields. Configure parsing rules compliant with government data formats during deployment to ensure accurate extraction of core fields such as request number and contractor unit. Maintain data synchronization stability to avoid disrupting work order closed-loop processing.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
MONGODB_URI | mongodb://[username]:[password]@[host address]:[port]/fastgpt?authSource=admin | Stores structured work order data such as request registration forms and handling responses, ensuring persistent storage of government data |
PG_URL | postgresql://[username]:[password]@[host address]:[port]/fastgpt | Stores associated business data such as work order classification rules and return visit evaluations, ensuring efficient multi-table association queries |
REDIS_URL | redis://:[password]@[host address]:[port]/0 | Caches frequently accessed work order classification templates and response scripts, reducing database query pressure and adapting to daily high-frequency work order data updates |
STORAGE_S3_ENDPOINT | Configure according to the access address of your own object storage service | Stores unstructured document materials such as handling response attachments and return visit recordings, meeting government document storage requirements |
FILE_TOKEN_KEY | Randomly generated 32-character string | Encrypts access tokens for work order documents, ensuring access security for government data |
Three Common Mistakes
- Phenomenon: After deployment, the login-free window cannot complete identity verification, and the interface returns a 401 status code. Cause:
FILE_TOKEN_KEYis not configured, or the identity verification module is not integrated in FastGPT v4.8.14 and earlier versions. - Phenomenon: After Docker deployment, calls to third-party platform interfaces time out, returning a 504 error. Cause:
REDIS_URLis not configured for caching, causing high-frequency work order query requests to exceed database connection limits. - Phenomenon: When classifying questions across multiple knowledge bases, only the current question text is read without associating historical work order context, resulting in classification results falling into the fallback category. Cause: Deployment did not adapt to the context-dependent characteristics of 12345 work orders, and reasonable context association rules were not configured.
How to Confirm Proper Configuration
- Access the system settings page in the FastGPT backend, check the database connection module, and confirm that the connection test results for
MONGODB_URIandPG_URLpass. - Upload a simulated 12345 request registration form document, and verify that core fields such as request number and contractor unit are correctly extracted after document parsing.
- Trigger a manual work order data synchronization task, and check that the synchronization log contains no errors, with data updates following the daily synchronization rhythm.
- In FastGPT v4.17.0, test the identity verification function of the login-free window, and confirm that the verification process completes normally.
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.