What the data for this category looks like
Daily documents for this category include inspection plans, inspection target lists, inspection item checklists, on-site inspection records, rectification notices, and inspection result public notices. Data primarily comes from the dual random inspection and public disclosure regulatory platform, enterprise credit information public disclosure system, industry regulatory systems, and law enforcement officer directory. The update frequency is monthly. Core fields cover regulatory subject information, inspection item details, law enforcement officer matching information, and inspection results. Document structures primarily use structured tables and standardized text, and must align with existing system fields used by regulatory departments.
Constraints Imposed on HTTP Interfaces and External Systems
Monthly updated data requires interfaces to support scheduled synchronization tasks. Interfaces must adapt to field differences across multiple source systems. Standardized documents must strictly match the field formats of regulatory systems. Format incompatibility will cause entry errors. Batch calls for law enforcement officer directories and inspection target lists require interfaces to support pagination queries and batch pulling capabilities. Documents for inspection result public notices must be synchronized to official platforms. Interfaces must have idempotence to prevent duplicate submissions. Additionally, since public regulatory data is involved, interfaces must comply with data security specifications to prevent information leaks.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Authorization | Bound dedicated access token for the regulatory system | Used for interface identity verification, ensuring secure access to public regulatory data |
| Request timeout | 30-60 seconds | Adapts to the transmission duration of monthly batch data synchronization, avoiding task interruption due to network fluctuations |
variables | Map structured fields from the regulatory system | Ensures generated document fields fully match regulatory system data |
responseData | Extract only structured response fields | Filters invalid response content, improving the accuracy of document generation |
| Batch request limit | First 100 items per request | Adapts to the single-pull scale of law enforcement officer directories and inspection target lists, avoiding interface overload |
| FastGPT Version | FastGPT v4.17.0 | Adapts to the interface call specifications of this version, ensuring functional stability |
Three Common Mistakes
- A
400 The request failed because the image format is incorrecterror log is returned when calling the image upload interface. The file format is not verified against the compliant format required by the regulatory system, causing the interface to reject the request. - Under the same configuration, the inspection result public notice content returned by online chat and API calls differs significantly. The API call does not correctly pass the
variablesparameter, leading to failure to properly replace template variables. - A timeout error occurs when batch pulling inspection target lists. A reasonable request timeout is not set, or the single pull quantity exceeds the interface's carrying limit.
How to Confirm Configuration Is Complete
- Call the interface to pull the law enforcement officer directory, and check whether the returned
responseDatafields match the test fields from the regulatory system. - After configuring the
Authorizationtoken, send a test request to confirm the interface returns a 200 status code and no identity verification errors. - After configuring the
variablesmapping rules, generate an inspection plan document, and check whether the fields in the document fully match the test data. - Send a batch pull request to confirm the interface does not show overload errors and the returned data volume matches the expected setting.
Note: The configuration values listed above are common starting points. They should be evaluated against the reader's own specific samples and use cases.
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.