HTTP Interfaces and External Systems for Aquaculture

What the data for this category looks like

The data sources for aquaculture financial reports include pond monitoring data from local aquatic technology promotion stations, publicly disclosed reports of listed aquaculture enterprises, and industry statistical submissions from the National Aquatic Technology Promotion Station. Update cycles cover ten-day water quality and feeding data, monthly aquaculture output data, and quarterly and annual comprehensive financial reports. The document structure is primarily structured tables, containing fields such as pond farming area, farmed species, unit feeding amount, survival rate, mu yield, feed coefficient, etc. The unit of area is mu, the units of feeding amount and yield are mostly kg/mu or tons/hectare, and feed coefficient is a dimensionless ratio.

What constraints these characteristics impose on HTTP interfaces and external systems

Multiple data sources require interfaces to support cross-platform data pulling, and need to be compatible with authentication methods and return formats of different data sources. Update cycles with different time granularities require interfaces to support filtering data by ten-day, monthly, quarterly, annual and other dimensions, while also handling data duplicate coverage issues. Exclusive fields and units require the original data returned by the interface to retain native units, to avoid numerical deviations caused by automatic platform conversion. The regional subdivision data characteristics require interfaces to support data filtering by parameters such as farming region and province, reducing the overhead of invalid data pulling.

How to configure

Configuration Item	Recommended Value	Rationale
`external_data_source_type`	"Structured API Data Source"	Most aquaculture financial report data has a standardized table structure, making it suitable for pulling structured content directly via API
`api_request_timeout`	`300 seconds`	Aquaculture data often requires aggregation across multiple sources, leading to long single request durations; this setting avoids interrupting data pulling due to timeout
`field_mapping_rule`	Map according to aquaculture financial report standard fields	This category has exclusive fields such as "mu yield" and "feed coefficient", which need to be aligned with the platform's built-in fields to ensure analysis accuracy
`batch_fetch_interval`	`86400 seconds`	Monthly monitoring data is updated daily; pulling data in batches on a daily cycle matches the data update rhythm
`api_auth_type`	`API Key Authentication`	Most external aquaculture industry data interfaces use key-based authentication, which complies with general security configuration specifications
`keyword_intercept_rule`	Configure trigger words according to farmed species and financial report cycles	Adapts to exclusive query scenarios for aquaculture financial report analysis, accurately triggering external interface calls

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, and it is recommended to test on your own samples before finalizing settings.

Three common configuration mistakes

Phenomenon: An external data source interface call returns the 401 Unauthorized status code, and logs show authentication failure. Cause: The api_auth_type parameter is not configured correctly, or the generated API key is not synchronized to the external data source platform.
Phenomenon: Aquaculture data fields associated in the knowledge base are empty, or units do not match expectations. Cause: The field_mapping_rule parameter is not configured, and exclusive fields returned by the external interface (such as "feeding amount kg/mu") are not mapped to standardized fields recognizable by the platform.
Phenomenon: After a user enters a specified financial report query keyword, no external custom interface is triggered, and a default response is returned directly. Cause: The keyword_intercept_rule parameter is not configured correctly, or the callback address of the custom interface is not entered in the platform's external service configuration.

How to confirm the configuration is complete

Initiate a test request, check whether the returned fields include exclusive fields for aquaculture financial reports, and verify whether the field units match the preset requirements.
Use a separate API debugging tool to call the configured external interface, confirm that the return status code is 200 OK, and that the data format meets expectations.
After configuring the keyword interception rule, enter a preset trigger keyword, check whether the platform calls the external custom interface to return corresponding results.
View the data synchronization log, confirm that data pulling and updates are completed according to the cycle set by the batch_fetch_interval configuration.

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.