What data this category contains
The data for this category primarily comes from GitHub or Gitee Issues, code repository version logs, user-submitted environment information, and problem reproduction descriptions. Daily maintenance documents include Issue templates, tag rules, and historical reply records. The data update frequency is daily or weekly. Fields cover Issue numbers, titles, statuses, associated tags, submission times, reproduction steps, as well as version numbers, change content, and release times in version logs. The data structure is built around the full problem handling workflow, and no additional statistical aggregation fields are included.
What constraints these characteristics impose on HTTP interfaces and external systems
This category’s data sources rely on external code hosting platforms and user-submitted content. HTTP interfaces must adapt to platform authentication rules. Data updates occur daily or weekly. Interface call frequency must align with this rhythm to avoid triggering external platform rate limits. The data includes sensitive information such as user environments and reproduction steps. Valid tokens must be configured via the Authorization header to complete permission verification. Cross-platform differences exist for Issue fields. Local fields and external interface parameters must be mapped using variables. The final output is used for release notes and operation reports. The structure consistency of responseData must be verified to ensure complete, usable fields. FastGPT v4.17.0 and later versions support the full verification logic for this configuration.
How to configure
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Authorization | Use a fixed Bearer token or read from environment variables | Adapt to external platform permission verification requirements to prevent interface calls from being blocked |
variables | Map Issue numbers, tags, and submission times to external interface parameters | Unify cross-platform differences in Issue fields and meet the field requirements of operation reports |
responseData | Only return structures with a 200 status code and including issueid and updatetime | Ensure consistent data source formats for release notes and operation reports |
| Call timeout period | 600 seconds | Adapt to the pull duration of complex Issue data to avoid mid-process interruptions |
| Call frequency | 1 time per day or 3 times per week | Match the data update frequency to avoid triggering external platform rate limits |
| Single pull quantity | Top 100 entries | Adapt to the conventional display and operation statistics requirements of Issue lists |
Three common configuration errors
- Phenomenon: Automatic addition of Bearer tokens when calling external interfaces, leading to authentication failure or 401 status code return. Cause: Failed to turn off the platform's default Bearer automatic supplement configuration, and failed to manually specify a valid token via the
Authorizationitem. - Phenomenon: The data source plugin returns a database connection structure instead of SQL execution results. Cause: Failed to configure the correct query logic via the
variablesconfiguration item, only basic database connection parameters were configured. - Phenomenon: The custom token passed in the workflow does not take effect, and the external interface returns a 401 status code. Cause: The workflow variables were not bound to the
Authorizationorvariablesconfiguration items, causing the interface call to use default parameters.
How to confirm the configuration is correct
- Manually trigger an interface call and check if the returned results include the expected Issue fields and operation data.
- Check if the
Authorizationitem configuration matches the token format required by the external platform. - Verify that the field mapping configured in
variablescovers all fields required for operation reports. - View the interface call logs to confirm that the timeout period and call frequency match the preset configuration.
Note: The values provided here are common starting points and should be evaluated against samples specific to the deployment context.
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.