What data for this category looks like
Civil aviation airport policy and regulatory basis data comes from official regulations released by civil aviation authorities, normative documents from regional civil aviation administrations, and internal operation systems of airport groups. Updates are synchronized when new policies are released. Quarterly compliance checks are conducted for core regulations. Documents are organized by hierarchy into regulation number, issuing authority, effective date, clause content, and applicable scenario. Fields include regulation code (e.g., CCAR-XXXX), effective date in YYYY-MM-DD format, and applicable region. Units use "article" and "paragraph" to mark clause hierarchy. Dates use standard Gregorian calendar format.
What constraints these characteristics impose on deployment and upgrade
Civil aviation policy data has multiple structured hierarchy levels. During deployment, support creating hierarchical indexes by regulation level to avoid confusion between policy content of different levels during retrieval. Update frequency is not fixed, and core data requires strict compliance. During upgrade, retain the configuration entry for automatically syncing policy sources to prevent data expiration. Fields include dedicated codes and date formats. Complete pre-deployment data cleaning verification to ensure accurate field matching during retrieval. During upgrade, maintain compatibility with the structured data import logic of previous versions to prevent historical data from becoming unretrievable due to format changes.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | Top 10 entries | Civil aviation policy documents are mostly structured clauses. The number of associated entries returned per search should not be too large to avoid context overload |
REDIS_URL | redis://172.16.0.5:6379/1 | Used to cache frequently retrieved civil aviation policy clauses to reduce load pressure on the core database |
STORAGE_S3_ENDPOINT | http://10.0.0.20:9000 | Stores original attachments and index snapshots of civil aviation policy documents, meeting civil aviation data security storage requirements |
| Single search limit | Top 6 entries | Adapts to the hierarchical structure of civil aviation policy documents, avoiding excessive entries interfering with matching accuracy of core clauses |
| Reranking model | Calibrated based on actual testing | Civil aviation policy terminology is highly specialized. Adjust the confidence threshold for reranking based on actual retrieval results |
ROOT_KEY | Airport intranet exclusive encryption key | Ensures access permissions for internal policy data, complying with public sector and state-owned enterprise data security specifications |
Three common errors
- The plugin editing page always displays "unsaved", and clicking save produces no change. The cause is that after upgrading to FastGPT v4.17.0, the dedicated plugin configuration template for civil aviation policies was not updated synchronously, leading to abnormal status verification logic.
- The reranker pulled via docker runs successfully but returns false. The cause is that the professional term whitelist for civil aviation policies was not configured, so the reranking model cannot recognize dedicated terms, leading to matching failure.
- The custom search quantity set to 6 does not take effect. The cause is that the configuration value of
DB_MAX_LINKwas not adjusted. The default limit is 5, so retrieval requests cannot be stored normally beyond this limit.
How to confirm the configuration is complete
- Log in to the storage configuration page in the FastGPT backend, verify that the connectivity test result for
STORAGE_S3_ENDPOINTis normal. - Initiate a civil aviation regulation retrieval request, check that the number of returned results matches the configuration value of
DB_MAX_LINK. - Submit plugin editing content, confirm that the "unsaved" prompt at the top of the page disappears automatically after saving.
- Call the reranker interface, verify that the confidence of the returned results meets preset business requirements.
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.