What the data for this category looks like
The data for aerospace equipment intelligent due diligence reports comes primarily from public technical documents of aerospace original equipment manufacturers, public airworthiness certification reports from civil aviation regulatory authorities, delivery ledgers from supply chain manufacturers, and flight test collected data. Data update rhythms vary. Basic parameters finalized for complete aircraft have a low update frequency. Supply chain component and flight test batch data have a high update frequency. A single due diligence document typically includes modules such as model parameters, airworthiness clauses, supply chain traceability, and flight test data ledgers. Fields include wingspan (unit: meter), maximum takeoff weight (unit: kilogram), airworthiness certification number, supplier batch number, cumulative flight test duration (unit: hour), and more. Some documents include structured component BOM tables and raw test data.
What constraints these characteristics impose on HTTP Interfaces and External Systems
The multi-source and decentralized nature of aerospace equipment data requires HTTP interfaces to support multi-source data aggregation calls, and to be compatible with API authentication rules from different manufacturers. Differences in data update rhythms require interfaces to support both incremental synchronization and full synchronization modes, which can be switched based on data source type. Single documents have large volume and include structured BOM tables, requiring interfaces to support chunked upload and resumable upload to avoid single request timeouts. Fields include specialized units and compliance identifiers, requiring interfaces to include built-in field verification logic, automatically adapt to aerospace equipment metadata formats, and reduce format conversion costs for external systems.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Aerospace equipment technical documents include large numbers of drawings and raw flight test data, so single-file volume typically exceeds general thresholds |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Long document parsing requires processing structured BOM tables and multi-module content, with time consumption far exceeding general scenarios |
filter_metadata_fields | ["适航认证编号", "供应商批次号", "翼展", "最大起飞重量"] | Covers core metadata fields for aerospace equipment due diligence, ensuring the interface returns valid information |
api_request_timeout | 600 seconds | Multi-source data aggregation interfaces need to call multiple external systems, resulting in longer request durations |
api_rate_limit | 10 requests per minute | Adapts to rate limiting rules for aerospace-related external data interfaces, avoiding triggering third-party system interception |
dataset_sync_interval | 86400 seconds | Balances the low-frequency update needs of complete aircraft data and the high-frequency update needs of supply chain data |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Calling the
/api/core/dataset/collection/create/localFileinterface returns empty metadata fields. This occurs because specialized aerospace equipment metadata fields are not specified in thefilter_metadata_fieldsconfiguration, and the interface automatically filters unconfigured fields. - Uploading aerospace equipment documents returns a
413 Request Entity Too Largeerror. This occurs because theUPLOAD_FILE_MAX_SIZEconfiguration is not adjusted, and the default file size limit cannot accommodate large-volume technical documents. - Batch synchronization interfaces experience execution timeouts. This occurs because the
PARSE_FILE_TIMEOUT_SECONDSconfiguration is not extended, and the default timeout duration is insufficient to complete long document parsing and multi-source data aggregation.
How to confirm configurations are properly set
- Upload one aerospace equipment technical document, call the
/api/core/dataset/collection/listinterface, and check if the returned metadata includes the fields specified infilter_metadata_fields. - Call the batch synchronization interface, check if the returned HTTP status code is
200 OK, and that there are no timeout-related error messages. - Test the metadata filtering interface, pass in the specified filtering conditions, and confirm that only matching aerospace equipment data entries are returned.
- View interface call logs, confirm that the number of calls per second does not exceed the configured
api_rate_limitthreshold, and that there are no rate limit interception records.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.