What this type of data looks like
Data sources for industrial metal research reports include public reports from the Shanghai Futures Exchange, London Metal Exchange, China Nonferrous Metals Industry Association, and research teams focused on the nonferrous metals sector. Update frequencies vary significantly: spot price data updates every 15 minutes, weekly inventory data updates every Wednesday, monthly supply and demand balance sheets are updated before the 5th day of each month, and industry research reports are released alongside industry events or on a regular basis. Documents typically include macro environment analysis, supply and demand balance sheets, price trend charts, and core investment recommendations. Structured data modules contain fields such as price, inventory, and output, with common units including yuan/ton, ten thousand tons, US dollars/ton, and percentage.
What constraints do these characteristics impose on HTTP interfaces and external systems
Multiple data sources with widely varying update frequencies require configuring multiple sets of authentication parameters and different scheduled pull cycles to avoid interface rate limiting. Many structured data fields and inconsistent units require configuring field whitelists and unit conversion rules to ensure consistency in retrieval results. Long research report text with large numbers of tables requires adjusting interface timeout settings and table parsing parameters to prevent data truncation. High real-time spot data requires frequent pulls. These pulls must be scheduled separately from low-frequency monthly supply and demand data pulls to reduce the probability of interface call conflicts.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 30-60 seconds | Data source interfaces for industrial metal research reports may return large amounts of structured table data. A too-short timeout will truncate returned content |
RECALL_FIELD_WHITELIST | ["title", "publish_time", "price_data", "inventory_data", "core_conclusion"] | Core retrieval fields for industrial metal research reports are price, inventory data, and conclusions. Filtering irrelevant fields improves retrieval efficiency |
SCHEDULE_CRON_EXPRESSION | */15 * * * * (spot data), 0 0 * * 3 (weekly data), 0 0 5 * * (monthly data) | Matches the update rhythms of different data sources to avoid repeated pulls or missed updates |
DATA_SOURCE_AUTH_TYPE | API_KEY, IP_WHITELIST | Most industry data sources and futures exchange interfaces use these two authentication methods to secure interface calls |
PARSE_TABLE_MAX_ROWS | 500 rows | Supply and demand balance tables in industrial metal research reports typically do not exceed 500 rows. Content beyond this limit increases retrieval latency |
ERROR_RETRY_TIMES | 2 times | Network fluctuations may cause interface call failures. Too many retries will increase pressure on the data source |
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 individual analysis. It is recommended to test with your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: A call to the industrial metal data source interface returns the error
Host '10.100.3.144' is not allowed to connect. Cause: The IP of the deployed service is not added to the data source's IP whitelist configuration. - Symptom: An HTTP request does not trigger execution, and retrieval results are empty. Cause: A correct
SCHEDULE_CRON_EXPRESSIONis not configured, or the scheduled task switch is accidentally turned off. - Symptom: In FastGPT 4.9.0, the Chat model works normally, but calling the OneAPI interface for the Embedding model fails. Cause: The
API_REQUEST_TIMEOUTparameter is not configured separately for the Embedding interface, or the parameter value is set too short to handle long-text vector conversion for industrial metal research reports.
How to confirm successful configuration
- Call the configured data source interface to verify that returned fields match those listed in the
RECALL_FIELD_WHITELISTconfiguration. - Check scheduled task logs to confirm that pull actions trigger according to the set Cron expression.
- Simulate an abnormal network environment to verify that the retry logic configured in
ERROR_RETRY_TIMEStakes effect. - Search for industrial metal research reports to confirm that returned results include core fields such as price and inventory, and that units meet preset requirements.
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.