What the data for this category looks like
Data sources for refractory material yield rate and market daily reports include industry self-disciplinary monitoring institutions, public quotes from bulk commodity spot trading markets, and procurement ledger data from downstream manufacturing enterprises. Data is synced every early morning, with full data from the previous day included in each sync. Single daily report document size stays between 500 and 800 KB. Documents are split by product category. They include the following fields: product name, specification model, manufacturing enterprise, same-day transaction price, same-day wholesale price, weekly average price, and monthly average price. Transaction and wholesale prices are measured in yuan per ton. Weekly and monthly average prices are calculated using consecutive 7-day and 30-day transaction averages, respectively.
What constraints these characteristics impose on deployment and upgrade
The requirement to pull data from multiple sources requires configuring multi-data source authentication and retry mechanisms during deployment. This prevents data interruptions caused by failures of a single data source. The fixed daily update schedule requires scheduling tasks to avoid peak hours for industry data interfaces. This prevents pull failures. The document structure split by product category requires chunking rules to match product classification dimensions. This avoids context confusion across categories. Fields include non-standard information such as specification models. The entity extraction matching threshold must be adjusted to match the recognition accuracy of non-standard fields. During the upgrade process, retain existing multi-source connection and scheduled task configurations. Pause temporary pull tasks to avoid data overwrite conflicts.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Refractory material daily report single document size is 500-800 KB. Conventional parsing takes 2-4 minutes. 300 seconds covers the full parsing process |
CRON_SCHEDULE | 0 2 * * * | Scheduled for 2 AM daily to avoid peak hours for industry data interfaces, ensuring stable data pulling |
KNOWLEDGE_BASE_CHUNK_SIZE | 800–1200 characters | Single product data takes approximately 100 characters. A chunk length of 800-1200 characters for category-based chunking covers complete information for a single product category |
MULTI_SOURCE_RETRY_TIMES | 3 retries | Multiple data source pulls carry interface fluctuation risks. 3 retries balances success rate and task duration |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Reasonable maximum limit for single batch packaged files when importing multi-category daily reports in bulk |
ENTITY_EXTRACT_THRESHOLD | 0.75 | Matches recognition requirements for non-standard specification model fields for refractory materials, balancing accuracy and recall |
The parameter values provided on this page are common recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After pulling refractory material daily report data, the log displays
'usage' KeyError. Cause: Multi-data source field verification logic is not configured. Some data source responses lack non-required fields, triggering key-value read exceptions. - Phenomenon: After deploying version v4.8.9 using docker-compose, an error prompt pops up when creating a new knowledge base. Cause: The permissions of the container-mounted storage directory are not correctly configured, preventing the system from writing chunked document data.
- Phenomenon: After the scheduled pull task runs, the knowledge base returns 0 results. Cause: The trigger time configured in
CRON_SCHEDULEoverlaps with the maintenance window of industry data interfaces, resulting in empty response content from pull requests.
How to confirm the configuration is correct
- Run a single data pull task. Check the system logs for field missing or timeout errors. Verify that pulled document fields match preset fields.
- Enter the knowledge base management interface. Check if the number of chunked documents matches the actual imported document count, confirming the chunking rules are active.
- Check the scheduled task execution logs. Confirm that the daily early morning pull task triggers normally, with no records of failed retries exceeding the limit.
- Test the entity extraction function. Enter the specification model field of refractory materials, confirming the system can correctly identify the corresponding entity information.
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.