What the data for this category looks like
Data sources for snack food profit margin data include brand distributor inventory and sales API, retail terminal POS integration interfaces, and third-party retail market monitoring data sources. Data is updated via daily batch sync of sales and cost data after store closing overnight. Data is provided in standard JSON format, including fields such as product SKU code, sales channel name, statistical date, cumulative revenue amount, cumulative cost amount, profit margin value, and inventory turnover days. Revenue and cost amounts are measured in yuan. Profit margin is presented as a decimal without a percentage sign. Inventory turnover days are measured in calendar days.
What constraints these characteristics impose on HTTP interfaces and external systems
The daily batch sync update schedule requires HTTP interfaces to support bulk data pulling. This avoids API call pressure caused by single-item queries. The need to integrate multiple data sources requires interfaces to support custom field mapping. This adapts to field differences across sources such as distributor inventory systems and retail POS systems. The clear units for profit margin and inventory turnover days require enabling field type validation in interface configurations. This prevents data parsing errors. For internal deployment scenarios where public network monitoring data sources are inaccessible, support must be provided for connecting to locally deployed internal inventory system interfaces. Local data caching policies must also be configured to handle temporary network outages.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
BATCH_REQUEST_MAX_SIZE | 1000–2000 items | Adapts to the bulk data pulling needs of snack food with many SKUs, reducing the number of API calls |
API_FIELD_MAPPING | Configure field mapping according to data source preset rules | Adapts to field differences across data sources such as distributor inventory systems and retail POS systems, unifying data formats |
DATA_PRECISION | Retain 6 decimal places | Ensures calculation accuracy for numeric fields such as profit margins and cost amounts, avoiding data distortion |
INNER_NETWORK_ONLY | Enabled | Adapts to internal deployment scenarios, only allowing internal data source access, complying with security requirements |
REQUEST_TIMEOUT | 300 seconds | Meets the response duration requirement for pulling all daily data in bulk, avoiding timeout interruptions |
PAYLOAD_LIMIT | 10 MB | Adapts to the size limit of bulk data packets, balancing transmission efficiency and data integrity |
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
- Symptom: API call fails after internal deployment, with logs showing
connection refused. Cause: TheINNER_NETWORK_ONLYconfiguration is not enabled, or access permissions for internal data sources are not configured. - Symptom: Returned content after API call does not match preset rules, with prompt variables not correctly replaced. Cause: The
API_FIELD_MAPPINGmapping rules are not correctly configured, or the API request does not carry corresponding parameters. - Symptom: The API returns a
413 Payload Too Largestatus code during bulk data pulling. Cause: ThePAYLOAD_LIMITconfiguration is not adjusted, and the default value cannot accommodate the packet data for bulk SKUs.
How to verify a successful configuration
- Initiate a single SKU API test request, check whether returned field types and units match expectations, and verify that the field mapping configuration is effective.
- Initiate a bulk data pulling request, check whether the number of returned data items matches the preset bulk configuration, and verify that the bulk pulling capability is working properly.
- Review interface access logs for internal deployment scenarios, confirm that only internal IP addresses can initiate requests, and verify that the internal access restriction configuration is effective.
- Review the return precision of numeric fields, confirm that they meet the preset decimal place requirements, and verify that the data precision configuration is effective.
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.