What Data for This Category Looks Like
Data for livestock and poultry farming research reports originates from three primary sources. These are the Ministry of Agriculture and Rural Affairs livestock and poultry monitoring system, industry reports from the China Animal Husbandry Association, and specialized research documents from third-party agricultural consulting institutions. Update cycles cover multiple dimensions. Monthly slaughter and inventory data updates each month. Quarterly production capacity and cost data releases follow quarterly timelines. Temporary research reports tied to sudden disease outbreaks or policy adjustments can update daily. Document structure includes modules such as core breeding indicators, regional distribution, cost calculations, and policy impact analysis. Fields include fertile sow inventory, average white feather broiler slaughter price, total feed consumption, and similar metrics. Common units include ten thousand heads, yuan per bird, tons, and other standard agricultural units.
Constraints for HTTP Interfaces and External Systems
Multiple data sources require external systems to connect to multiple HTTP interfaces. Different data sources use distinct authentication methods. Some use API keys, others use signature verification or the OAuth2 protocol. External systems must support multiple authentication workflows. Inconsistent field names and units require unified mapping and conversion after interface data is returned. This prevents data chaos in downstream systems. Diverse update frequency requirements demand flexible scheduled pull tasks. Tasks must support triggering requests on hourly, daily, monthly, and other cycles. Long document interface responses need reasonable pagination parameters. This avoids oversized single requests that trigger rate limits or timeouts.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_LIST | ["agri_moa_api", "china_animal_husbandry_assoc", "third_party_agri_report"] | Covers official monitoring, industry association, and third-party research reports to meet full-dimensional data needs |
API_AUTH_TYPE | ["api_key", "signature", "oauth2"] | Adapts to authentication requirements of different data sources. For example, the Ministry of Agriculture and Rural Affairs interface uses signature verification |
DATA_SYNC_INTERVAL | ["1h", "1d", "1m"] | Matches update frequencies of different data. Pull temporary research reports hourly, pull monthly data daily |
FIELD_MAPPING_RULES | Breeding Sow Inventory: sow inventory, Average Slaughter Price: unit_price | Unifies field names across data sources and eliminates unit conversion discrepancies |
PARSE_PAGE_SIZE | 200 items per request | Avoids oversized single requests that trigger interface rate limits and reduces the number of pagination requests |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Accommodates parsing time for long research report documents and prevents early request termination |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Each scenario requires individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: External research report interface returns
404 Not Found, with anot foundmessage in the response body. Cause: Incorrect configuration of the data source interface path, or the external system does not have interface access permissions. - Symptom: LLM cannot trigger the function call logic for research report retrieval. Cause: Interface parameters for research report retrieval are not correctly bound to tool configuration, or the interface return format does not meet tool call specification requirements.
- Symptom: Inconsistent units appear in retrieval results. For example, "ten thousand heads" and "heads" are displayed simultaneously. Cause: Unified field mapping rules are not configured, and unit standardization conversion for different data sources is not implemented.
How to Verify Successful Configuration
- Send a test interface request. Check if returned fields match configured mapping rules and if units have completed standardization conversion.
- Review scheduled task run logs. Confirm that data sources with different update frequencies trigger pull operations as expected.
- Call the tool call interface. Verify that the LLM can correctly trigger research report retrieval and return matching results.
- Check interface response logs. Confirm no timeout errors occur and response times meet configured threshold requirements.
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.