What Data for This Category Looks Like
Data sources include daily quotes for textile raw materials, finished yarn and woven fabrics from domestic bulk commodity spot trading platforms, plus industry-monitored processing loss rate data. Full daily data collection is completed each update cycle. Each dataset contains the following fields: raw material name, raw material transaction price, finished product ex-factory price, processing cost, and unit yield. Corresponding units are yuan/ton, yuan/ton, yuan/meter, yuan/ton, and yuan/meter respectively. Results from multiple source APIs must be integrated and cleaned to form standardized daily report entries for subsequent yield calculation and broadcasting.
Constraints on Deployment and Upgrade
This category covers multiple types of raw materials and finished products, and requires fixed daily data collection. During deployment, configure multi-source data synchronization timeout parameters and scheduled trigger rules to match the daily collection rhythm. During upgrade, support configuration migration for legacy scheduled tasks to avoid data collection interruptions. Field units vary across product categories, so configure unified unit conversion mapping rules. Complete validation logic for all fields during deployment to prevent calculation deviations. Single batch data volume exceeds standard categories, so adjust vector database batch processing thresholds to avoid import timeouts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_DATA_CRON | 0 15 15 * * * | Matches the fixed daily data collection rhythm for this category, ensures latest daily data is available when calling data sources |
VECTOR_BATCH_SIZE | 200 records per batch | Single batch data volume for this category exceeds standard categories, adjust batch size to avoid single import timeout |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Multi-source data cleaning and conversion require longer processing time, extend timeout threshold to prevent task interruptions |
EMBEDDING_MODEL_ENDPOINT | Fill in according to OneAPI docking specifications | Addresses common issues where the Embedding model cannot connect to OneAPI, requires correct endpoint address configuration |
ENABLE_AUTO_UPDATE_NOTICE | false | Prevents version update description pop-ups from interfering with users during daily broadcasting |
MAX_CONTEXT | 800–1200 characters | This category has more data fields, control context length to ensure the model generates standardized daily report formats |
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 targeted analysis. It is recommended to test on applicable internal samples prior to finalization.
Three Common Mistakes
- Phenomenon: After Docker deployment completes, accessing the port returns 502 Bad Gateway or connection timeout. Cause: Host port and container service port are not mapped correctly, or container service fails to start properly.
- Phenomenon: A version update description pop-up appears every time a new chat interface is opened. Cause: The
ENABLE_AUTO_UPDATE_NOTICEconfiguration item is not disabled, or the configuration item was not saved and activated correctly. - Phenomenon: After deploying version 4.9.0, the Chat model can be called normally, but the Embedding model cannot connect to OneAPI, and OneAPI returns a connection timeout error. Cause: The
EMBEDDING_MODEL_ENDPOINTparameter is not configured correctly, or network policies restrict container access to OneAPI ports.
How to Confirm Proper Configuration
- View scheduled task logs to confirm that the daily fixed-time data synchronization task has executed as configured. Check whether logs include call records for all configured data sources.
- Access the vector database management interface to check whether imported data fields and units match configured conversion rules, and confirm no format errors exist.
- After disabling the automatic update configuration item, restart the service and open a new chat to confirm no version update description pop-up appears.
- Call the Embedding model test interface to verify normal connection to OneAPI and completion of vectorization tasks, and confirm parameter configuration is correct.
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.