What the Data for This Category Looks Like
Condiment due diligence data primarily comes from publicly monitored data released by the China Condiment Association, daily quotation interfaces from upstream raw material suppliers including soybeans and chili peppers, and sales performance reporting interfaces from offline chain supermarkets.
Data updates follow two schedules: raw material cost data updates daily, terminal sales performance data updates every two days, and compliance test reports are released with each product batch.
Each individual due diligence document has a fixed structure, including fields such as brand name, product SKU, raw material cost price, terminal retail price, channel profit margin, and batch test report number. Units include yuan per kilogram, yuan per bottle, batch number, and others. Some test fields include qualified judgment thresholds, marked in numerical form.
Constraints Imposed on HTTP Interfaces and External Systems
The multi-source, heterogeneous nature of condiment due diligence data requires external systems to configure multiple sets of authentication rules. Data from the China Condiment Association uses API_KEY authentication, while supermarket sales performance interfaces use OAuth2.0 authentication.
Differences in update rhythms across data sources require independent scheduled pull cycles for each interface. Raw material cost interfaces synchronize data every 12 hours, and terminal sales performance data is pulled every 48 hours.
Test fields returned by HTTP interfaces must undergo compliance verification after a call is made. Records that exceed thresholds must be automatically filtered.
Some upstream supplier interfaces limit the volume of data returned per request. Pagination pull logic must be implemented to support batch due diligence requirements.
Configuration Settings
| Configuration Item | Recommended Value | Rationale | |
|---|---|---|---|
EXTERNAL_API_AUTH_TYPE | Configured separately per data source as api_key or oauth2 | Adapts to authentication differences across multiple data sources. Association public data uses API_KEY authentication, and supermarket sales performance data uses OAuth2.0 authentication | |
SYNC_TASK_INTERVAL | Set to 43200 seconds for raw material interfaces, and 172800 seconds for sales performance interfaces | Matches the update rhythm of raw material data (daily) and sales performance data (every two days) | |
FIELD_VALIDATION_SWITCH | Enabled | Automatically verifies qualified thresholds for test fields and filters non-compliant data | |
PAGE_SIZE | Set to 100 | Adapts to the limit of most upstream supplier interfaces returning 100 entries per request, preventing request blocking | |
API_REQUEST_TIMEOUT | Set to 60 seconds | Covers network latency during batch pulls and prevents timeout interruptions | |
SKU_MATCH_PATTERN | Set to `^[a-zA-Z0-9]+_\d+ml | \d+g$` | Matches the specification naming rules for condiment SKUs, enabling precise matching of target product data |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A
POST /api/admin/initv4818 404error is returned when calling the system upgrade interface. Cause: The FastGPT container port is not mapped to a publicly accessible address, or the request path does not match the latest version's interface routing rules. - No session-related data is obtained after configuring external interfaces. Cause: The session protocol switch for the knowledge base is not enabled, or the session permission field is not added to the interface authentication configuration.
- A "message receiving address verification failed" prompt appears when deploying a DingTalk robot. Cause: The FastGPT external interface address is not configured as a valid publicly accessible address, or the container port is not correctly mapped to the public network.
How to Confirm Successful Configuration
- Call the configured external interface, check whether the returned data fields match the preset due diligence document structure, and verify that field names and units match expectations.
- Review the execution logs of scheduled synchronization tasks to confirm that pull cycles for different data sources match the configured
SYNC_TASK_INTERVALvalues. - Submit a pull request for batch SKUs, confirm that the volume of returned interface data does not exceed the configured
PAGE_SIZElimit, and that there is no pagination truncation issue. - Trigger a test message for the DingTalk robot, confirm that the receiving address verification passes, and that the message can be successfully pushed to the specified group.
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.