What this category of data looks like
Data sources for iron ore financing daily reports include domestic coastal bulk commodity spot trading platforms, port cargo right registration systems, steel mills' daily procurement declaration data, and settlement ledgers for some cross-border iron ore trades. Full daily collection of the previous day's data is completed each day, with standard daily report files generated by 8:00 AM local time. Data is stored as structured tables, with each row corresponding to a single category's single-day financing transaction details. Fields include report date, ore category (fine ore / lump ore), origin, cargo right holding entity, spot settlement price, pledged financing amount, and total daily financing transaction volume. Units are yuan per wet metric ton, ten thousand yuan, and ten thousand metric tons respectively.
What constraints these characteristics impose during deployment and upgrade
- Full daily data must be collected from multiple source platforms. Configure fixed scheduled pull tasks during deployment. Retain existing task configurations during upgrades to avoid data gaps.
- Fields include financial financing amount data. Configure data validation rules during deployment. Synchronously update validation logic during upgrades to prevent misjudgments.
- Data sources involve third-party trading platforms. Configure interface whitelists and timeout retry mechanisms during deployment. Maintain compatibility with third-party interface version changes during upgrades.
- Daily report files have large data volumes. Adjust parsing and storage resource configurations during deployment. Avoid parsing failures caused by changes to resource allocation during upgrades. Also ensure the upgrade process does not disrupt normal daily data collection.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Iron ore daily reports contain multiple transaction details, leading to long parsing times. The default value cannot cover the full parsing process |
CRON_EXPRESSION | 0 0 3 * * ? | Execute data pull at 3:00 AM daily to avoid business peak hours, matching the daily report generation schedule |
KNOWLEDGE_BASE_MAX_DOC_SIZE | 2000000 bytes | Full iron ore daily report files usually exceed 1 MB. The default value will restrict complete document import |
HTTP_REQUEST_TIMEOUT | 300 seconds | Pulling multi-source data requires cross-platform requests. 300 seconds covers response times for most third-party interfaces |
DATA_VALIDATION_RULES | Validate existence of report date and financing amount fields | Ensure core business fields are complete, preventing dirty data from entering the knowledge base |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Scenario: Knowledge base documents and workflow configurations are lost several days after deployment, while interfaces remain functional. Cause: The
REDIS_PERSISTENCEparameter was not configured. Default in-memory storage was used, resulting in data clearance after restart or out-of-memory events. - Scenario: The
docker compose upcommand prompts a Redis image pull failure, and the issue persists after enabling a network proxy. Cause: Version 4.9.1 or later was used. This version added Redis 7.x images, which some network environments cannot pull directly from the official registry. - Scenario: An
OCI runtime create failederror appears when starting the container, and the server has no GPU resources configured. Cause: TheENABLE_GPU_ACCELERATIONparameter was enabled in the deployment configuration, but no GPU hardware mapping was added, causing the container to fail to start.
How to confirm configurations are correct
- Run the
docker compose configcommand, and verify that the values of core configuration items such asCRON_EXPRESSIONandPARSE_FILE_TIMEOUT_SECONDSmatch the preset values. - Manually trigger a data pull task, check whether an iron ore financing daily report document for the corresponding date is generated in the knowledge base, and verify that the field mapping conforms to the preset rules.
- Restart the container, check whether knowledge base documents and workflow configurations are retained, and confirm that the data persistence configuration is effective.
- View container runtime logs, confirm that there are no timeout or permission errors for external data source interface requests, and that normal business data is not blocked by data validation rules.
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.