What the data for this category looks like
Duty-free category profit yield-related data mainly comes from POS cash registers of duty-free operators and daily report data from the off-island duty-free supervision platform. Data updates follow a fixed cycle: a full update of the previous day’s data is completed each day. Data documents typically use JSON array format. Each entry includes fields such as sku code, product name, procurement cost, listed selling price, daily average sales volume, and number of store locations.
Procurement cost and listed selling price are measured in CNY yuan. Daily average sales volume is measured in units. Number of store locations is measured in counts. All business indicators are presented as absolute values, and no proportional sensitive information is included.
What constraints do these characteristics impose on HTTP interfaces and external systems
These data characteristics create clear constraints for interface and external system integration:
- Data comes from two sources. Multi-source data aggregation logic must be configured to ensure full coverage of data from POS systems and the supervision platform.
- The fixed daily update schedule requires scheduled pull tasks to align with the data source’s update completion time, to avoid pulling incomplete dirty data.
- Fields use absolute values and include unique identifiers like
sku code. Interfaces must support batch queries by SKU, and strictly return the configured field set. - Data involves compliance information for duty-free operations. Interface calls must carry identity verification parameters, and returned data must filter sensitive content.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Data source pull timeout | 120 seconds | Duty-free data source interface responses typically take 60-90 seconds. Sufficient buffer is reserved to avoid timeout interruptions. |
Batch query SKU quantity limit | 500 units | The number of SKUs per duty-free store is usually within thousands. Single batch queries avoid interface overload. |
Interface identity verification key | Configure with the key provided by the connected platform | Complies with compliance verification requirements of external systems, to ensure legitimate call permissions. |
Scheduled pull trigger time | 04:00 daily | Aligns with the update completion time of most duty-free data sources, which finishes before 3:00 AM each day. |
Number of failure retries | 3 times | Handles occasional network fluctuations or current limiting scenarios of external interfaces. |
Data field mapping rules | Map by sku code, procurement cost, listed selling price, daily average sales volume | Matches the core fields required for profit yield calculation. |
The parameter values provided on this page are common recommended 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: Interface calls return the
403 Forbiddenstatus code. Cause: Theinterface identity verification keyparameter is not configured correctly, and external system identity verification fails. - Symptom: Duty-free data returned by the external MCP service cannot be parsed. Cause: The
data field mapping rulesdo not match the actual field structure returned by the data source, leading to field parsing failure. - Symptom: No valid data is returned after a scheduled pull task triggers. Cause: The trigger time is earlier than the daily update completion time of the external data source, so unupdated cached data is pulled.
How to confirm the configuration is complete
- Call the configured HTTP interface, check if the returned fields include the preset core business fields, and verify that the field names match the
data field mapping rulesconfiguration. - Manually trigger a pull task, check if the returned data volume matches the daily data volume of the external data source, and confirm that the scheduled trigger time occurs after the data source update is completed.
- Simulate an interface call failure scenario, check if retries are performed according to the configured
number of failure retries, and confirm that data can be normally obtained after retries. - Verify that the interface identity verification parameters are correct, carry valid verification information when calling the interface, and confirm that the returned status code is
200 OK.
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.