What the data for this category looks like
Data sources include public reports from civil aviation regional administrations used for financial institution due diligence, airport in-house operation logs, airspace scheduling data, and third-party aviation consulting public materials. Update frequencies are as follows:
- Flight takeoff and landing data is synchronized hourly
- Operation data is updated daily
- Airspace data is updated weekly
Document structures include structured tables and PDF reports. Fields include airport name, takeoff and landing sorties, passenger throughput, cargo and mail throughput, runway operation duration, and equipment maintenance times. Corresponding units are none, sorties, person-times, tons, hours, and times respectively.
Constraints on deployment and upgrade
The update frequencies of data in this category vary significantly. Real-time data requires high-frequency synchronization, which creates clear constraints on scheduled task scheduling parameters during deployment. Multi-source heterogeneous data formats and rich structured fields require configuration of parsing plugins and field mapping rules adapted to different data sources during deployment. Long-cycle updated airspace data and short-cycle takeoff and landing data must be handled separately. Incremental synchronization tasks must not be interrupted during the upgrade process. Individual due diligence reports have long document lengths, including multi-page tables and statistical content. This affects the file parsing timeout threshold setting, to avoid forced termination of the parsing process.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Aviation airport due diligence reports typically contain multi-page tables and statistical content, resulting in long parsing times |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Individual complete annual due diligence report PDFs or structured data collections have large file sizes |
maxContext | 8000–12000 characters | Due diligence reports have many structured fields, requiring sufficient context for vector recall |
RECALL_TOP_N | Top 10 entries | Core fields of due diligence reports are concentrated, so excessive recall results are unnecessary |
RERANKER_BATCH_SIZE | 32 | Batch processing of vector reranking tasks for multi-source data is required to improve processing efficiency |
SCHEDULE_INTERVAL | 3600 seconds | Takeoff and landing data is updated hourly, so the scheduled task cycle must match this frequency |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and testing on local samples is recommended before finalizing settings.
Three common configuration errors
- Symptom: After starting the bge-reranker reranking service container, FastGPT workflow calls fail, with logs returning
503 Service Unavailable. Cause: The access address and port mapping parameters of the reranking service were not correctly configured in the environment field of docker-compose.yml. - Symptom: When running a due diligence report processing workflow, responses are slow, and processing time for individual reports exceeds expectations. Cause: The
maxContextandRERANKER_BATCH_SIZEparameters were not adjusted based on the field count and document length of aviation airport data, resulting in insufficient resource utilization. - Symptom: After upgrading to a new version, the original multi-source data synchronization tasks cannot execute normally, and some structured fields are empty. Cause: The original data source configuration was not retained during the upgrade, causing the new system to fail to recognize the original field mapping rules.
How to confirm correct configuration
- Upload a standard aviation airport due diligence report, check whether the parsing progress completes within the preset timeout period, and confirm that the parsing configuration is effective.
- Start a manual data synchronization task, check whether the synchronization logs trigger according to the preset cycle, and verify the correctness of the scheduling configuration.
- Call the reranking service interface, check whether the number of returned results matches the configured recall number, and confirm that the reranking service configuration is normal.
- View the system resource monitoring panel, confirm that CPU and memory usage meet the preset resource configuration, and verify hardware adaptation.
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.