What the data for this category looks like
Textile manufacturing market data draws from public monitoring data released by domestic textile industry associations, and real-time quotes from bulk commodity spot trading platforms. The update schedule follows a layered structure:
- Raw material categories such as pure cotton yarn and polyester filament are updated daily
- Finished fabric categories such as fabrics and unfinished garment fabrics are updated every two days
Data is provided in structured table format, including fields such as category identifier, daily transaction average price, recent cycle average price comparison, total inventory, and additional relevant fields. Unit specifications vary across subcategories: yarn products use yuan/ton, fabric products use yuan/square meter, and inventory metrics use ten thousand meters. Field content is dynamically adjusted based on the specific subcategory.
Constraints for tool calls and plugins
Textile manufacturing category data is dispersed across multiple sources and follows a layered update schedule. Tool calls must support multi-source interface aggregation configuration, to avoid limiting single calls to only one data source. Differences in units and field structures across categories require plugins to include built-in unit conversion logic and dynamic field mapping rules. These adapt output formats for subcategories such as yarn and fabric. Scheduled triggers must be configured to match the data update schedule: raw material data triggers daily, finished product data triggers every two days. This prevents calls for unupdated, invalid data. Plugins must also enforce passing the category identifier as a parameter, to avoid returning data that does not match the target category.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MULTI_SOURCE_TOOL_ENABLE | true | Textile manufacturing market data is dispersed across multiple platforms. Enabling multi-source tool calls integrates all available monitoring data |
SCHEDULE_TRIGGER_CONFIG | 0 0 9 * * ? (raw material categories), 0 0 9 * * 1/2 ? (finished product categories) | Raw material data updates daily, finished product data updates every two days. Configure trigger times to match these update schedules |
PLUGIN_REQUIRED_PARAMS | ["categoryCode", "unitType"] | Mandatory passing of category code and unit type parameters avoids returning data that does not match the target category |
FIELD_MAPPING_TEMPLATE | Load by category preset template | Field structures differ across subcategories. Preset templates automatically adapt field parsing rules |
TOOL_CALL_TIMEOUT | 120 seconds | Multi-source aggregated calls require longer timeout windows, to avoid call failures caused by interface response delays |
UNIT_CONVERSION_ENABLE | true | Units differ across categories such as yarn and fabric. Enabling unit conversion standardizes output 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 your own samples before finalizing settings.
Three Common Configuration Errors
- Tool calls return a
400 status code (no body)error. This occurs when requiredcategoryCodeparameters are not passed, or when the parameter format does not meet interface requirements, causing the interface to fail to recognize the request content. - Market data returned by tools uses inconsistent units. This occurs when the
UNIT_CONVERSION_ENABLEconfiguration is not enabled, and no unified conversion is applied for units across different categories. - Scheduled triggers run only once before stopping. This occurs when
SCHEDULE_TRIGGER_CONFIGis incorrectly set to a single-run trigger rule, rather than a cyclic trigger configured to match the data update schedule.
How to Verify Correct Configuration
- Initiate a single tool call with parameters for a known category, and check if returned data fields match the preset template.
- Review tool call logs to confirm that results from multiple data sources have been aggregated.
- Check the scheduled task list to confirm that trigger rules for different categories match their respective data update schedules.
- Simulate passing invalid parameters, and confirm that the plugin intercepts invalid requests and returns clear prompts.
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.