What the data for this category looks like
Data for e-commerce service intelligent due diligence reports comes from three primary sources: e-commerce platform open APIs, operational reports exported from merchant backends, and third-party e-commerce compliance monitoring tools. Two update cycles apply. Transaction flow and user review data sync hourly. Basic product information and merchant qualification files sync daily. The structure of a single due diligence report includes fields such as merchant entity information, SKU list, 90-day transaction data, compliance qualification scan copies, and user negative review clustering tags. Field units are uniformly yuan (transaction amount), pieces (inventory quantity), and entries (review count).
What constraints these characteristics impose on deployment and upgrade
Multi-source access and high-frequency update features of e-commerce due diligence data require parallel data sync configuration during deployment. Reserve sufficient concurrent processing resources. A single report contains large numbers of SKU entries and high-definition qualification scan copies, so single document volume exceeds average general document levels. Adjust the memory allocation threshold of the parsing module during deployment. The upgrade process must maintain an uninterrupted real-time transaction data sync link, and remain compatible with old version qualification file parsing logic. This prevents parsing failures for historical data after an update.
How to set the configuration
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | E-commerce due diligence reports contain large numbers of SKUs and high-definition qualification files, so parsing time far exceeds that of general documents |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single due diligence report qualification scan copies and aggregated transaction data files have large volume |
VECTOR_DB_BATCH_INSERT_SIZE | 500 entries | Hourly updated transaction data has a large number of entries, and batch insertion improves sync efficiency |
SYNC_DATA_INTERVAL | 3600 seconds | Matches the hourly sync update requirement for transaction flow data |
MAX_DOCUMENT_CHUNK_SIZE | 1500 characters | Adapts to the field density of SKU lists and transaction data, avoids overly long segments that impact recall accuracy |
DB_CONNECTION_POOL_SIZE | 20–30 | Supports concurrent request volume from multi-source data access |
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, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Phenomenon: When deploying in a local development environment, a connection timeout error occurs after the database installation step automatically jumps to Docker Compose deployment. Cause: No Docker image acceleration source is configured in advance, causing timeout when pulling basic images.
- Phenomenon: An error
timeout of 60000ms exceededoccurs when deleting a folder with a large number of documents in the knowledge base. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted, and batch deletion of documents in the large folder triggers the default timeout limit. - Phenomenon: After real-time synchronization of transaction data, the latest transaction amount field of the due diligence report is empty. Cause: The
SYNC_DATA_INTERVALparameter is not configured to match the update frequency of the data source, causing the sync link to be interrupted.
How to confirm the configuration is correct
- Run the local Docker Compose deployment script, check the startup status of all containers, and confirm that the ports of the database, vector database, and parsing service are not occupied.
- Upload a test due diligence report containing 1000 SKUs, check the parsing progress and logs, and confirm that the parsing time does not exceed the preset threshold.
- Configure an hourly data sync task, wait for one sync cycle, and verify whether the latest transaction data from the data source has been synced to the knowledge base.
- Delete a test folder containing 500 documents, check the operation logs, and confirm that no timeout error is triggered.
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.