HTTP Interfaces and External Systems for Decoration Industry

What data for this category looks like

Decoration industry yield rate-related data is primarily sourced from completed project financial ledgers, regional building material wholesale market daily quotation systems, and construction party cost collection platforms. Full daily statistics for the previous day are updated every early morning. The documentation uses structured JSON format, with fields including project unique identifier, decoration category subdivision, core cost item ratio, added value calculation value, and corresponding region code. value_added_amount uses the unit yuan per square meter. main_material_cost_ratio is a proportional coefficient, and percentage values are not used.

Constraints for HTTP interfaces and external systems

Multiple data sources require the interface to connect to multiple independent HTTP endpoints. Cross-origin request routing rules must be configured. The daily update schedule requires fixed execution periods for scheduled pull tasks. Switching logic between full pull and incremental pull must be handled. Fields include region codes and decoration category subdivisions. Interface requests must carry corresponding filter parameters. Without these parameters, the returned data volume will exceed the processing capacity of external systems. The special unit of value_added_amount requires external systems to configure format conversion rules. This avoids calculation errors caused by unit mismatch. Sensitive financial data requires the interface to use dedicated authentication rules. This ensures data access security.

How to set configurations

Configuration Item	Recommended Value	Rationale
`schedule_cron`	`0 0 2 * * *`	Matches the daily early morning update schedule of the data source
`timeout`	`30 seconds`	Adapts to the average response duration of multiple data source connections
`filter_params`	`["decoration_type", "region_code"]`	Matches the filter dimensions of the data fields to control returned data volume
`auth_type`	`API_KEY`	Meets the authentication security requirements for decoration industry financial data
`data_parse_rule`	`Convert value_added_amount to the unit specified by the external system`	Adapts to the yuan per square meter unit requirement of `value_added_amount`
`retry_times`	`3 times`	Improves request stability for multiple data source connections

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volume and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three common configuration errors

An interface call returns 400 Bad Request, with an error message containing a dial t-related connection failure prompt. This occurs when target domain name resolution rules in the request_header are not configured correctly, preventing a stable connection to the data source.
An interface call returns a permission denied prompt, and target data cannot be retrieved. This occurs when a globally shared api_key is used, instead of a dedicated key bound to the current application, and the interface access whitelist is not configured.
The value_added_amount field is empty in pulled data. This occurs when correct filter fields are not configured in filter_params. The data source returns uncategorized full data, and the external system cannot match the expected fields.

How to verify successful configuration

Call the configured HTTP interface, and confirm the returned JSON data includes expected fields such as project_id, decoration_type, and value_added_amount.
Review scheduled task execution logs, and confirm the daily 2 AM pull task completed successfully, with no timeout or connection failure records.
Compare data received by the external system with field units from the original data source, and confirm the unit of value_added_amount has been properly converted.
Test filter requests carrying different decoration_type and region_code values, and confirm returned data matches the filter conditions.

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.