What data for this category looks like
Data for hotel and catering intelligent due diligence reports comes primarily from store operation management systems, supply chain partner ledgers, local health supervision department public platforms, and passenger flow counting terminals. Update rhythms vary across data types. Daily operation metrics such as average daily passenger flow and per-customer unit price update daily. Compliance information such as health permits and fire acceptance status updates quarterly or per regulatory requirements. Supply chain procurement data updates weekly.
Document structures include a basic information module, operation data module, compliance information module, and partner module. Field units include yuan/person-time, ten thousand yuan/month, person-time, and others. Some fields use string formats with specific prefixes.
What constraints these characteristics impose on deployment and upgrade
Deployments must configure multiple interface adapters for multi-source heterogeneous data. This avoids synchronization failures caused by differences in data source formats.
Configure incremental synchronization tasks in batches for data with varying update rhythms. Using a unified synchronization cycle will cause synchronization conflicts between high-frequency small datasets and low-frequency large datasets.
Single-store due diligence reports range from several pages to dozens of pages. Parsing logic must adapt to this wide range of document lengths.
Format verification rules for compliance fields must align with regulatory requirements. Upgrades must not break verification logic. Broken logic will cause compliance data synchronization exceptions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Hotel and catering due diligence report documents have large length differences. Reserve sufficient parsing time to avoid mid-process interruptions |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Attachment files such as store operation reports and supply chain ledgers have large sizes. Accommodate large file upload requirements |
SYNC_INCREMENTAL_INTERVAL | 3600 seconds (operation data), 86400 seconds (compliance data) | Match the update rhythms of different data sources. Avoid synchronization task conflicts or resource waste |
PARSE_CHUNK_SIZE | 1000-1200 characters | Adapt to the long field characteristics of hotel and catering data. Avoid segment truncation of key compliance or operation information |
RECALL_TOP_K | Top 8 entries | Cover multi-dimensional due diligence data. Avoid redundant recall results that affect analysis efficiency |
SIMILARITY_THRESHOLD | 0.75-0.85 | Ensure matching accuracy for compliance fields such as health permit numbers. Reduce misjudgment probability |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After deploying version
4.9.9via Docker locally,database connection reseterrors occur every few hours. Restarting the PG container restores service functionality. Cause: The database connection pool configuration was not adjusted. Concurrent connections generated by multi-data source synchronization exceed the default limit, leading to connection exhaustion. - Phenomenon: After directly upgrading to the latest version, the incremental synchronization script cannot recognize the format of historical compliance data. Cause: Compatibility between the new version's field verification rules and legacy data was not verified in advance. No format conversion preprocessing was performed on historical data.
- Phenomenon: After uploading a long document due diligence report, empty fields appear in the parsing results. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted. Long document parsing timed out and was forcibly terminated, leading to incomplete extraction of some fields.
How to confirm proper configuration
- Execute a synchronization test for a specified data source. Check whether a synchronization success identifier is generated in the synchronization log. Verify that the number of returned fields matches the expected configuration.
- Upload a standard hotel and catering due diligence report. Check whether the parsed segmented content is complete, with no key fields truncated.
- Initiate a multi-model concurrent invocation test. Check whether there are records of request distribution to different model channels in the load balancing log.
- Run the container health check command on an arm64 architecture openeuler system. Confirm that the status of all services is
running.
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.