What the data for this category looks like
Data sources include publicly disclosed financing announcements for auto parts enterprises, real-time loan records from supply chain finance transaction systems, and financing activity summaries from industry associations. Full data updates for the previous calendar day are completed by 2:00 AM daily. Some real-time same-day transaction data is supplemented by 10:00 AM on the same day. The structure of a single financing record includes: Unified Social Credit Code, auto parts subcategory, financing subject name, fund provider name, financing amount (unit: ten thousand RMB), financing term (unit: calendar days), loan date, financing purpose, and associated original equipment manufacturer (OEM) name. A single daily report document can contain batch financing records from dozens to hundreds of enterprises.
Constraints imposed on deployment and upgrade by these characteristics
The multi-source data nature of auto parts financing daily reports requires configuring multi-source parsing adapters during deployment to adapt to different formats of public announcements and transaction systems. The daily update schedule requires deploying scheduled synchronization tasks and incremental update logic to avoid occupying daytime business bandwidth. Fields including auto parts subcategories and associated OEMs require configuring field mapping rules and associated indexes to unify fields across different data sources. Consistent units for financing amounts require configuring numeric format validation rules to prevent unit conversion errors. During upgrades, compatibility with differences between old and new fields is required to avoid data breaks from field changes, and adaptation to newly added auto parts subcategory fields is also necessary.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_MULTI_SOURCE_ENABLE | Enabled | Auto parts financing daily reports draw data from two types of sources: public announcements and supply chain transaction systems, so multi-source parsing must be enabled |
SYNC_FREQUENCY | Once daily, executed at 2:00 AM | Matches the T+1 update schedule of financing daily reports, avoids occupying daytime business bandwidth |
DOCUMENT_DEDUPLICATION_KEY | Unified Social Credit Code + Loan Date | This combination serves as the unique identifier for a single financing record, preventing duplicate entries of the same financing |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single financing daily report document may contain batch records from hundreds of enterprises, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 500 MB | Typical size of monthly financing summary documents imported in bulk |
FIELD_MAPPING_RULE | Auto-map to standard fields by source | Field names vary across different data sources, so unification to knowledge base standard fields is required |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: A
timeout of 60000ms exceedederror is triggered when performing bulk deletion of historical financing daily report documents. Cause: The value ofPARSE_FILE_TIMEOUT_SECONDSwas not adjusted. The default timeout duration is insufficient to handle bulk deletion tasks containing a large number of documents. - Symptom: The service fails to start after local deployment, with a dependency incompatibility prompt. Cause: A fixed-version deployment image was not specified. Pulling the latest image directly may result in mismatches between some parsing dependencies and existing scripts.
- Symptom: A module not found error occurs when running
npm run buildlocally. Cause: The required version of dependency packages was not installed prior to deployment. The dependency package versions do not match the requirements of the financing report parsing scripts.
How to confirm the configuration is correct
- Run a manual synchronization task once, check the synchronization logs for records of multi-source data parsing failures, and confirm that the
PARSE_MULTI_SOURCE_ENABLEandFIELD_MAPPING_RULEconfigurations are active. - Upload a test auto parts financing daily report document, verify that the parsed fields include standard fields such as Unified Social Credit Code and financing amount, and confirm that the
UPLOAD_FILE_MAX_SIZEandPARSE_FILE_TIMEOUT_SECONDSconfigurations are appropriate. - Check the execution records of scheduled tasks, confirm that the daily synchronization task runs at the time specified in
SYNC_FREQUENCYwith no failed records. - Perform a bulk deletion test, check whether a timeout error is triggered, and confirm that the value of
PARSE_FILE_TIMEOUT_SECONDSmeets the requirements of the current document scale.
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.