What Data for This Category Looks Like
Data for this category primarily comes from personal information processing logs from business systems, App permission lists, public privacy policy texts, and user authorization agreement texts. Core regularly produced documents include personal information lists, processing activity rules, impact assessment reports, and user authorization texts. The data update frequency is once per quarter or triggered when core product functions are changed. Document structures typically include information classification fields, processing purpose fields, legal basis fields, and storage period fields. There are no uniform mandatory units, and field content is adjusted based on specific business scenarios.
Constraints Imposed on HTTP Interfaces and External Systems
Data in this category involves information that can identify natural persons, so HTTP interface calls must strictly follow the data minimization principle. Document update frequencies are irregular, and individual documents have large volume, so interfaces must support segmented data pulling to avoid overload from single transmissions. Data sources are scattered, so the variables configuration must be used to set up multi-source data access points, ensuring the interface can uniformly aggregate personal information-related data from different systems. The responseData returned by the interface must include clear information classification identifiers to allow compliance teams to perform quick verification. All interface calls must carry the Authorization parameter to complete identity verification, preventing unauthorized access that could expose sensitive information.
How to Configure Settings
The following configurations are based on the interface specifications of FastGPT v4.17.0:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Interface timeout period | 600 seconds | Adapts to the pulling and verification duration of a single compliance document |
| Data pulling chunk size | 800–1200 characters | Matches the average segmented length of single documents in this category |
| Identity verification parameter | Authorization header parameter | Complies with data access control requirements for personal information protection |
| Multi-source data access variable | variables configuration item | Uniformly aggregates personal information data from different business systems |
| Returned data format | Structured responseData | Allows compliance teams to quickly extract information classification and processing purpose fields |
| Single pulling limit | First 5 entries | Avoids compliance risks triggered by too many sensitive data entries in a single interface return |
| Persistent storage directory | /data/fastgpt/compliance 1000 MB | Stores compliance configuration data to prevent loss after container restart |
Three Common Mistakes
- The interface call returns an empty
responseDatafield. This occurs because thevariablesmapping relationship for multi-source data access is not correctly configured, preventing personal information-related data from being pulled from business systems. - All compliance configurations are lost after restarting a container instance. This occurs because the interface configuration data is not mounted to the persistent storage directory, causing configurations to reset with the container image during restart.
- The interface timeout period is set too short, preventing complete pulling of large individual impact assessment reports and triggering a 504 gateway timeout error.
How to Verify Successful Configuration
- Invoke the interface with the correct
Authorizationparameter, check that the returned status code is 200 OK, confirming identity verification is active. - Review the
responseDatafield returned by the interface, confirm that it includes core compliance fields such as personal information classification and processing purpose, verifying normal data pulling. - Modify one data source address in the
variablesconfiguration item, invoke the interface to confirm synchronous updates of returned data, verifying normal operation of the multi-source aggregation function. - Simulate a container restart, check that interface configuration data is not lost, confirming active persistent storage configuration.
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 2026-10-19.