What the Data for This Category Looks Like
Data for coke financing daily reports comes from three sources: the Dalian Commodity Exchange coke futures market interface, domestic North China and East China main producing area coke spot trading daily report platforms, and compliant interfaces of commercial bank corporate financing ledgers. Full daily data updates are completed by 02:00 each day. A single daily report document includes fields such as transaction date, main producing area spot average price, futures settlement price, total warehouse receipt inventory, number of newly added financing credit lines on the day, maximum single-household financing quota, and comprehensive financing fee rate adjustment range. Corresponding units are yuan/ton, ton, count, and ten thousand yuan/household. Data fields fall into two categories: numeric and enumeration. Some fields involve financial compliance sensitive information.
Constraints Imposed by These Characteristics on Deployment and Upgrade
The need to pull data from multiple sources requires configuring multiple interface timeout thresholds. This prevents overall task failure due to interface fluctuations on a single platform. The fixed daily update schedule requires setting the scheduled task trigger time after the data source’s update completion node. This prevents pulling unready empty data. Fields containing financial sensitive information require configuring data masking rules to meet compliance requirements. The single daily report has moderate data volume with fixed daily increments, so configuring reasonable batch processing parameters avoids resource overload. During the upgrade process, persistent authentication and configuration data must be retained. This prevents loss of user settings after mirror updates. Cluster node configuration synchronization must also be ensured to avoid abnormal loading on some nodes.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SCHEDULER_CRON | 0 3 0 * * * | Aligns with the daily update schedule of the coke financing daily report, which completes updates by 02:00 daily, ensuring data pulling executes after data sources are ready |
FETCH_DATA_TIMEOUT | 120 seconds | Covers response delays from multiple source interfaces, prevents pulling failures due to interface fluctuations from futures exchanges or spot platforms |
RECALL_TOP_K | Top 8 entries | Matches the number of core fields for the coke financing daily report, ensures all key indicators are fully recalled |
SIMILARITY_THRESHOLD | 0.75–0.85 | Distinguishes subtle differences in daily financing data, avoids repeated recall of historical data |
BATCH_PROCESS_SIZE | 10 entries per batch | Aligns with the field and data volume of a single daily report, avoids overload during single processing |
DATA_MASKING_ENABLE | Enabled | Meets financial data compliance requirements, hides sensitive fields such as credit quotas |
The parameter values provided on this page are common recommended 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 Mistakes
- Using the official Docker deployment script for version v4.8.22 to pull the latest image and restart the container results in a system login failure with a 401 status code. The cause is failure to correctly mount the persistent storage directory, leading to loss of user authentication information after the mirror update.
- A scheduled task returns empty daily data. The cause is that the scheduled task trigger time is earlier than the data source’s update completion time, which does not match the update schedule of the coke financing daily report.
- When deploying multiple nodes in a cluster, some nodes fail to load the configured data sources. The cause is failure to configure shared storage or synchronize environment variables across all nodes, resulting in inconsistent configuration files.
How to Confirm Proper Configuration
- Manually trigger a data source pulling task, and check that the returned fields include core indicators such as main producing area spot average price and total warehouse receipt inventory.
- View the scheduled task log, and confirm that the task completes execution around 03:00 daily with no timeout errors.
- Verify that the login status is normal after restarting the container, with no 401 error.
- Check the vector database recall results, and confirm that daily data differences are correctly identified, with no repeated recall or missing core fields.
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.