What the data for this category looks like
Data sources for aquaculture market and yield rate data include daily transaction records from regional aquatic product wholesale markets, IoT monitoring terminals at aquaculture ponds, and public aquaculture cost reference prices released by agricultural and rural affairs departments. Data updates follow a fixed schedule: full summary updates for the previous day are completed every midnight. Real-time feeding, water quality, and survival data for individual ponds are synced every 15 minutes. Data documents are formatted as JSON arrays. Each entry includes fields such as aquaculture category, unique pond identifier, total daily feeding amount, ratio of average surviving seedlings to planted seedlings, unit yield, market purchase unit price, and various cost unit prices. The corresponding units are kilograms, none (for quantity ratio), kg/mu, yuan/kg, yuan/mu, and yuan/kg.
What constraints do these characteristics impose on HTTP interfaces and external systems?
The data characteristics of aquaculture impose multiple constraints on HTTP interfaces and external systems. Multi-source data access requires interfaces to support multi-data source authentication and aggregation. Independent API keys and authentication rules must be configured for each data source to prevent cross-pond data permission leaks. The dual update schedule (daily full summary and 15-minute real-time sync) requires interfaces to support both scheduled batch pulling and real-time callback modes. Matching polling intervals and callback address configurations are required. The multi-field and diverse-unit document structure requires interfaces to support custom field returns and unit description inclusion. This prevents external systems from calculation errors caused by inconsistent units. Multi-dimensional query demands by pond and aquaculture category require interface request parameters to support multi-condition filtering. Corresponding default filtering rules must be configured.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
dataSourceAuth | Configure independent API keys and authentication methods for each data source | Differentiate multi-data source permissions and prevent cross-pond data leaks |
pollingInterval | 15 minutes | Match the sync interval for real-time pond data |
batchPullSize | 500 items per request | Balance interface load and data sync efficiency |
returnFieldWhitelist | ["aquaculture category", "pond ID", "unit yield", "purchase unit price", "total cost"] | Only return core fields required by external systems to reduce transmission overhead |
filterParams | Configure default filtering rules by aquaculture category and pond ID | Match external system query demands by dimension |
responseUnitField | Enable | Include unit descriptions to prevent external systems from parsing numeric values incorrectly |
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 scenarios require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Interface calls return yield data mixed with records from multiple ponds, and filtering by specified pond ID fails. Cause: The
filterParamsparameter is not configured, and no pond ID filter condition is included in the request. - Phenomenon: Interface requests return status code 413, and data sync fails. Cause: The
batchPullSizeconfiguration value is too large, exceeding the maximum data limit for a single interface request. - Phenomenon: External systems cannot correctly convert cost and revenue values, and return fields do not include unit descriptions. Cause: The
responseUnitFieldconfiguration is not enabled, and no unit information is included in return results.
How to Verify Proper Configuration
- Invoke the configured HTTP interface with specified pond ID and aquaculture category parameters. Confirm returned results only include data for the corresponding pond and category.
- Review interface return fields. Confirm each numeric field includes the corresponding unit description.
- Simulate a daily midnight batch pull request. Confirm returned data volume matches the configured
batchPullSize. - Configure a real-time callback address, send test data. Confirm external systems can normally receive callback requests.
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.