What the Data for This Category Looks Like
Chemical raw material market data primarily comes from public quotes released by industry associations and daily transaction records from bulk commodity spot trading platforms. Updates are completed by 17:00 each trading day. Data is stored in structured table format, including fields such as common name, implementation standard, origin, packaging specification, daily weighted average price, weekly weighted average price, monthly weighted average price, daily price change, weekly price change, and others. The units for average price and price change are yuan/ton, and there are no percentage-based statistical items.
Constraints These Characteristics Place on Forms and Interactions
Multi-source data sources require forms to support multi-channel data synchronization. Field mapping rules must be configured in advance to match the field names of external data and system forms. The fixed trading day update rhythm requires that scheduled pull tasks for forms only trigger on working days to avoid invalid updates. The presence of segmented fields such as implementation standard and packaging specification requires that forms support filtering configuration by category and origin. Numerical range validation must be set to adapt to the price range of chemical raw materials. The timeliness of data updates requires that forms display the last data update time, and clear prompts must be triggered in case of exceptions.
How to Configure Settings
These configurations apply to FastGPT 4.9.7 and later versions:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_TYPE | multi_platform_sync | Chemical raw material quotes come from multiple trading platforms. Synchronizing multi-source data ensures coverage |
SCHEDULE_CRON_EXPR | 0 17 * * 1-5 | Matches the update rhythm before 17:00 on trading days, triggering tasks only on Monday to Friday |
FORM_FIELD_MAPPING | generic name: material_name, weighted average price: avg_price, price change amount: price_change | Matches standard fields of external data with system form fields, adapting to the structured data structure of chemical raw materials |
INPUT_RANGE_VALIDATION | {"min":0,"max":100000} | The average price of chemical raw materials mostly falls within the range of 0 to 100000 yuan/ton. Setting range validation blocks invalid inputs |
DATA_UPDATE_TIMEOUT | 600 seconds | Multi-source pulling requires handling cross-platform requests. Reserving a 10-minute timeout period avoids mid-process interruptions |
ERROR_NOTICE_TRIGGER | on_failure | Triggers notifications when data pulling or form submission fails, facilitating timely handling of exceptions |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: When calling an API to embed a form, the specification field for some chemical raw materials is empty. Cause: The specification field mapping in
FORM_FIELD_MAPPINGis not configured, causing external data fields to not be correctly bound to form components. - Phenomenon: A
408 Request Timeoutstatus code is returned when pulling data on a scheduled basis. Cause:DATA_UPDATE_TIMEOUTis not set or its value is less than 300 seconds, and insufficient processing time is reserved for multi-source pulling. - Phenomenon: The form triggers data updates on holidays. Cause: No working day restriction is configured in
SCHEDULE_CRON_EXPR, causing pulling tasks to execute on non-trading days.
How to Verify Successful Configuration
- Manually trigger a data pull, and check if the form fields include preset items such as the common name, average price, and price change of chemical raw materials.
- View scheduled task logs to confirm that pull operations are only executed around 17:00 on working days.
- Enter a price value outside the reasonable range, and verify that an input block prompt is triggered.
- Simulate a data pull failure scenario, and confirm that the preset error notification is triggered.
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.