Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Civil aviation airport policy and regulatory reference data mainly comes from official regulations released by the Civil Aviation Administration of China, internal operation manuals of regional airport management groups, and special notices from local civil aviation regulatory bureaus. The update rhythm is to complete synchronization within 72 hours after major policy revisions, and routine clause updates are released in monthly summaries. The document structure takes individual policies as units, including five core fields: policy document number, issuing authority, effective date, applicable airport scope, and clause text. Clause text is divided by article, paragraph, and subparagraph levels. The effective date uses the YYYY-MM-DD format, and the applicable scope marks specific airport IATA codes or regions.
What constraints these characteristics impose on HTTP interfaces and external systems
Because policy data includes effective dates and applicable airport scopes, HTTP interfaces must support parameter filtering by time range and airport code. Otherwise, non-matching redundant data will be returned. Because document lengths vary significantly—short clauses are only tens of characters, while long manuals can reach tens of thousands of characters—interfaces must support segmented returns or pagination queries to avoid exceeding single-transmission data volume limits. Because policy data is sensitive internal information, interfaces must implement strict authentication mechanisms to prevent unauthorized access. Because update frequency is relatively fixed, interface calls should use reasonable caching strategies to avoid frequent requests that increase system load.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Authorization | Bearer {Airport Internal Policy API Key} | Most civil aviation airport policy data source interfaces use Bearer token authentication to secure access to sensitive policy data |
variables | {"target_airport": "SHA", "policy_scope": "passenger_service"} | Used to pass the target airport code and policy category to accurately filter policy content matching the current scenario |
responseData | $.result.policy_items | Adapts to the return structure of most civil aviation policy interfaces, directly extracting available policy document data |
| Request timeout | 600 seconds | A single policy document may contain tens of thousands of characters; a longer timeout prevents transmission interruptions |
| Cache validity period | 24 hours | The regular update cycle of civil aviation policies does not exceed once per day; this duration balances data timeliness and interface call efficiency |
Three Common Misconfigurations
- Phenomenon: The HTTP interface returns a "401 Unauthorized" or "Authentication Failed" error. Cause: The
Authorizationparameter is not configured correctly, or an expired API key is used, so the authentication check of the data source interface fails. - Phenomenon: The policy content returned by the interface is empty or only contains partial fields. Cause: Required airport code or policy category parameters are not passed via the
variablesconfiguration item, so the data source interface cannot match valid data. - Phenomenon: A single call returns "Payload Too Large" or a transmission timeout. Cause: No reasonable request timeout is set, and excessively long policy documents are not processed in segments, so the single request data volume exceeds the interface limit.
How to Confirm Configuration is Complete
- In the FastGPT application test panel, enter the test airport IATA code and policy category, initiate a test call, and check if the returned results contain valid policy document content.
- Check the interface call logs to confirm that the
Authorizationheader carries the key in Bearer token format, with no authentication-related errors. - Adjust the cache validity period parameter to verify that the interface returns consistent data when called repeatedly within the configured duration, and automatically refreshes to obtain the latest policy after the duration expires.
- Simulate a request for an excessively long policy document to confirm that the request timeout configuration takes effect, with no premature interruptions.
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.