What the data for this category looks like
Data for black home appliance profit margins is sourced from upstream raw material market databases across the home appliance industry chain, daily shipment statistics from brand owners, and third-party terminal sales price monitoring platforms. Data is fully updated for the previous day each early morning, to meet the requirements of daily report broadcasting. Individual data documents use JSON format, including the following fields: product_id (unique product identifier), product_name (full product name), raw_material_cost (raw material cost, unit: yuan per unit), factory_price (ex-factory price, unit: yuan per unit), retail_avg_price (national average terminal retail price, unit: yuan per unit), margin_coefficient (gross profit margin coefficient, value range 0-1), daily_sales_volume (daily shipment volume, unit: units). The structure is flat to facilitate parsing.
What constraints do these characteristics impose on HTTP interfaces and external systems
The need to access data from multiple sources requires the interface to support configuration of multiple data source addresses and implement data aggregation logic, to avoid downstream systems needing to connect to multiple interfaces individually. The daily full data update feature means the interface returns a large volume of data in a single request, so pagination query parameters must be supported to control the number of entries returned per request, preventing downstream system memory overflow or transmission timeouts. Fields include multiple numeric types, so strict parameter validation rules are required to ensure price, sales volume and other fields are valid numeric values, preventing dirty data from entering financial scenario display and calculation links. The fixed update schedule requires external systems to support scheduled pull operations, with scheduled task parameters configured to match the data source update rhythm.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
api_request_timeout | 30 seconds | Response times for black home appliance market data sources typically fall between 10-25 seconds. Setting 30 seconds covers normal response durations and avoids misclassifying valid requests as timed out |
api_batch_size | 100 entries per request | Returning 100 entries per batch balances transmission efficiency and downstream system processing capacity, avoiding transmission failures caused by overly large single-request payloads |
field_filter_list | ["product_id", "product_name", "margin_coefficient", "retail_avg_price"] | Financial scenarios only require display of core fields related to profit margins. Filtering non-essential fields reduces data transmission volume and lowers downstream parsing complexity |
schedule_cron | 0 8 * * * | Trigger pull operations at 8 AM daily, matching the data release rhythm after the data source's early morning update |
retry_max_times | 3 retries | Third-party market interfaces occasionally experience temporary fluctuations. 3 retries covers most temporary failures and avoids triggering rate limits from excessive repeated requests |
response_format | json_array | Downstream financial platforms and external systems generally support parsing JSON array formats, standardizing the format to reduce downstream adaptation costs |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Scenario: After calling the HTTP interface, the external platform cannot display the configured form fields. Cause: The
field_filter_listparameter is not configured correctly, filtering out the display fields required by the form, resulting in missing corresponding fields in the returned data. - Scenario: Calling the workflow API returns a 504 gateway timeout status code, and the result does not include context-related data. Cause: The workflow's
enable_contextconfiguration item is not enabled, thecontext_idfield is not included in the request parameters, and the request timeout setting is too short to complete context data retrieval. - Scenario: The interface returns duplicate product data entries. Cause: Pagination offset parameters are not configured, or
api_batch_sizedoes not match the data source's pagination rules, resulting in repeated pulling of the same batch of data.
How to confirm the configuration is properly set up
- Call the configured HTTP interface and check if the returned fields match those configured in
field_filter_list, to confirm the field filtering rule is active. - Review the scheduled task execution logs to confirm that the pull operation is successfully triggered at the specified time each day, and the returned data is the previous day's market data.
- Simulate scenarios where the third-party interface returns a 400 parameter error or 503 service unavailable status, to check if the retry mechanism configured in
retry_max_timesis triggered. - Compare the number of data entries returned by the interface with the value set for
api_batch_size, to confirm the pagination query rule is active.
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.