What the data for this category looks like
Agrochemical product yield rate data comes primarily from three sources: publicly monitored APIs from the domestic agricultural means of production circulation association, publicly available upstream raw material ex-factory price datasets, and downstream channel wholesale price sampling APIs. Data is updated daily after market close with full category yield data for the day. Niche segmented categories such as specialty pesticide technicals receive full sampling updates every 3 days. Data is returned as a JSON array. Core fields include category code, category name, statistical date, benchmark price (unit: yuan/ton), day's transaction price (unit: yuan/ton), and yield rate value. The yield rate value is the raw proportional value of the difference between the day's transaction price and the benchmark price relative to the benchmark price, with no percentage annotation.
What constraints these characteristics impose on HTTP interfaces and external systems
The multi-source nature of data sources requires adaptation to different authentication mechanisms. Some APIs require API key authentication, while some third-party datasets require OAuth2 authorization. Differentiated update rhythms require support for scheduled pull cycles configured per category, to avoid redundant data for niche categories or delayed updates for core categories from unified scheduling. All field units are standardized to yuan/ton. Unit conversion rules must be configured when connecting to external systems, to avoid confusion with units such as kilograms or grams used for other categories. Yield rate values use raw proportional format. External systems must handle display formatting on their own; the API does not provide pre-formatted content. The low update frequency of niche categories requires configuring on-demand pull logic to reduce invalid request counts.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_api_timeout | 30 seconds | Average response time for agrochemical product data APIs is under 20 seconds; 10 seconds of buffer is reserved to avoid timeout errors |
api_auth_mode | api_key | Most public agricultural materials data APIs use API key authentication, which meets the basic authentication needs for multi-source data sources |
pull_cron_expression | 0 18 * * * | Most agrochemical category data is updated after 18:00 daily market close, which matches the optimal timing for data pulling |
unit_conversion_factor | 1 | Price fields returned by data sources use yuan/ton as the unit, so no additional conversion is needed |
yield_data_format | raw | Data sources return yield rates as raw proportional values; external systems must handle display formatting on their own |
batch_fetch_limit | 20 | Limit the number of categories returned per request to 20 or fewer, to avoid parsing failures caused by overly large response bodies |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is a
400 Bad Requeststatus code returned when calling the API, with logs showing that the request body format is non-compliant. The cause is failing to pass parameters in the field order required by the agrochemical data API, or failing to correctly format the raw proportional yield rate data. - The symptom is a
URIError: URI malformederror thrown when accessing the API. The cause is that the connected data source API address contains unencoded special characters, or the configured callback address contains invalid characters. - The symptom is a timeout error with a
504 Gateway Timeoutresponse during scheduled data pulling. The cause is failing to configure separate pull cycles for niche categories, with too many categories requested in a single pull leading to response timeout.
How to confirm configuration is complete
- Call the test API, check that the returned field names match the configured field mapping rules, and confirm that the unit conversion logic is active.
- Review scheduled task logs, confirm that the pull action is automatically triggered after the configured pull time, and that the number of pulled categories matches the configured batch limit.
- Verify the authentication configuration: send a request with an incorrect API key, confirm that an authentication failure prompt is returned, to rule out authentication configuration errors.
- Manually trigger a pull action, check that the returned yield rate values are in raw proportional format, and confirm that no additional formatting was applied by the API.
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.