What the data for this category looks like
Multi-source data for steel trade yield and daily market reports comes from domestic steel spot trading platforms, futures exchange market APIs, official price adjustment announcements from steel mills, and inventory and sales ledgers from regional traders. Update schedule: Spot prices update multiple times during trading hours each trading day. Futures market data updates once after market close. Ledger data gets entered in real time alongside transactions. The document structure typically includes fields such as trading variety, material specification, origin, transaction price on the day, wholesale guide price, retail reference price, regional inventory, and more. Units use yuan/ton and ton exclusively.
What constraints these characteristics impose on deployment and upgrade
Multi-source data has large format differences. Configure multiple sets of parsing rules during deployment to adapt to field naming from different data sources. Avoid overwriting already debugged parsing templates during upgrades. Market data updates at a high frequency. Match the execution interval of scheduled tasks to the update rhythm of data sources. An interval that is too long causes daily report data to lag. An interval that is too short triggers API rate limits. Fields include detailed specification parameters, so match field names precisely during parsing. Otherwise, daily report content will be missing or incorrect. Bulk-imported historical ledger files have large file sizes. Adjust timeout thresholds for file upload and parsing during deployment to avoid task interruptions.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Steel trade daily reports include multi-variety and specification data, which takes longer to parse, so sufficient time must be reserved to complete parsing |
CRON_EXPRESSION | 0 8 * * * | Industry market data is typically updated after 8 AM, so scheduled pulling ensures the timeliness of daily report data |
TEXT_SPLITTER_CHUNK_SIZE | 800-1200 characters | Single steel variety has many specification parameters. Chunk length adapts to field density, balancing recall accuracy and coherence |
MAX_RECALL_NUM | Top 10-15 entries | Daily reports need to cover core trading varieties. Too many recalls will cause redundant content, while too few will miss key varieties |
SIMILARITY_THRESHOLD | 0.75-0.85 | Steel variety names have similar expressions, such as naming differences across material specifications, so balance recall accuracy and coverage |
UPLOAD_FILE_MAX_SIZE | 500 MB | Bulk-imported historical trade ledger files typically have large sizes, so adapt to storage and transmission limits |
HIDE_FOOTER_BRAND | Yes | Remove page footer brand identifiers as needed to meet interface requirements for business scenarios |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: After deployment, the service is only accessible via 127.0.0.1, and cannot be accessed using the 192.168 network segment. Cause: The
SERVER_HOSTconfiguration item was not modified to 0.0.0.0 or a LAN IP, and the default binding only uses the local loopback address. - Symptom: After configuring a text understanding model in version 4.9.0, the model cannot be called normally. Cause: The model's API address and key were not correctly filled in
MODEL_CONFIG, or the selected model does not support the interface format of the current version. - Symptom: Some specification fields for steel varieties in the generated daily report are empty. Cause: Parsing rules did not match the corresponding fields in the data source, or the data source format pulled by the scheduled task changed without synchronously updating the parsing template.
How to confirm the configuration is correct
- Check container running status to confirm all service containers are in normal running state with no abnormal exit logs.
- Manually trigger a data pulling task, and verify that the generated daily report document includes all preset steel trade data fields with no missing or incorrect content.
- Access the service address corresponding to the LAN IP to confirm the page loads normally, and adjust the
HIDE_FOOTER_BRANDconfiguration item to remove the bottom QR code as needed. - Test parsing effects for different data sources to confirm field matching accuracy meets expected requirements for the business scenario.
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.