What the data for this category looks like
Data for this category comes primarily from the Ministry of Agriculture and Rural Affairs agricultural situation monitoring system, the national agricultural product wholesale market price information platform, and on-site sampling data from local agricultural technology extension stations. Updates occur daily, with monitoring results from the previous natural day published before 10 AM each day. Data is stored in a structured format. Each row corresponds to a single crop, single region monitoring entry, and includes fields such as crop category, monitoring region, yield per unit area, unit purchase price, planting input cost, and calculated revenue value. Yield per unit area is measured in kg/mu, unit purchase price in yuan/kg, and planting input cost and calculated revenue value in yuan/mu.
What constraints these characteristics impose on the tool calling and plugins workflow
Data sources for this category are scattered. Multiple data source plugins must be called to complete data aggregation. The tool calling link therefore requires configuration of multi-source request concurrency control parameters to avoid triggering interface rate limits. The data update schedule is fixed. The scheduled trigger for tool calls must align with the 10 AM daily release node to avoid obtaining unupdated historical data. The units of structured fields are fixed and tightly bound to farming scenarios. Plugin input parameters must strictly match the field units, otherwise deviations will occur in revenue calculation results. Each data entry corresponds to a single crop in a single region. Filtering parameters for crops and regions must be configured during batch calls to narrow the returned data scope.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
plugin_request_timeout | 300 seconds | Public data sources related to crop farming typically have response times within 2 minutes. Setting 300 seconds prevents normal requests from being interrupted |
plugin_batch_filter_rules | Filter by crop category and monitoring region | Each data entry corresponds to a single crop in a single region. Filtering allows accurate acquisition of the target dataset and reduces invalid data processing volume |
plugin_request_concurrency | 2–4 | Public agricultural data sources typically have low interface rate limit thresholds. Setting a concurrency of 2-4 avoids triggering interface blocking |
plugin_field_mapping | Map external fields to crop name, yield per unit area, unit purchase price, planting input cost, calculated revenue value | Field naming for crop farming data varies by region. Unified mapping ensures consistency in subsequent revenue calculations |
plugin_scheduled_trigger_time | Daily 10:00 | Data sources complete updating the previous day's data before 10 AM daily. Calling at this time obtains the latest valid data |
plugin_response_parse_mode | Structured JSON parsing | Data sources return data in structured JSON format. This parsing mode allows quick and accurate extraction of target fields |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: The revenue value returned after calling the plugin is empty or not generated as expected, and custom input parameters do not take effect. Cause: The
plugin_field_mappingparameter is not configured correctly, or the input parameter fields do not match the actual field names of the data source, resulting in failure to correctly extract target data. - Symptom: The scheduled plugin task fails to obtain the latest monitoring data. Cause: The scheduled trigger time is set earlier than the data source update node. For example, setting it to 9:00 daily, when the previous day's data has not yet been released.
- Symptom: Interface errors are triggered when batch calling multiple data source plugins, with a returned status code of
429. Cause: Theplugin_request_concurrencyparameter is set too high, exceeding the rate limit threshold of the data source interface, triggering rate limit interception.
How to confirm the configuration is complete
- View plugin request logs to confirm that the input parameters of each request match the configured
plugin_field_mappingrules, and verify that the field mapping is correct. - Manually trigger a plugin call, compare the returned data fields with the daily public data of the data source, and confirm the timeliness and accuracy of the data.
- Adjust the
plugin_request_concurrencyparameter to a lower value, run the batch call task, and confirm that no rate limit errors are triggered. - Check the trigger time of the scheduled task to confirm that it matches the data source update node, and check whether the next day's task has obtained newly released data.
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.