What the data for this category looks like
Plastics and rubber intelligent due diligence report data mainly comes from commodity spot trading platforms, customs import and export declaration databases, monthly statistical bulletins from industry associations, and ex-factory price announcements from upstream petrochemical production enterprises. Data update cadence is layered: spot transaction prices are updated daily, industry inventory and import and export data are updated every ten days, and monthly industry analysis reports are released seven business days later. The fixed document structure includes fields such as product name, grade, origin, ex-factory price, spot transaction price, social inventory, import and export volume, and others. Price-related fields use yuan per ton as the unified unit. Inventory and import and export related fields use ten thousand tons as the unit.
Constraints imposed on HTTP interfaces and external systems by these characteristics
Hierarchical update data sources require interfaces to support custom polling frequencies. This adapts to different data update cadences and avoids excessive requests or data lag. Fixed fields and units require interface return data to strictly align with preset field names and units. Data can be directly written into due diligence report templates without additional conversion. Large volumes of batch-pulled import and export and inventory data require interfaces to support pagination query parameters. Reasonable timeout thresholds must also be configured to prevent single request timeouts and interruptions. Different data sources use distinct authentication methods. The interface layer needs to support switching and binding multiple sets of authentication configurations.
How to configure settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
API_REQUEST_TIMEOUT | 300-600 seconds | Pulling bulk data from customs import and export and industry associations requires long response times, to avoid single request timeouts and interruptions |
UPSTREAM_API_AUTH_TYPE | API_KEY or CERTIFICATE | Different data sources correspond to different authentication methods, which need to match the access requirements of the data source |
BATCH_PULL_PAGE_SIZE | 50-100 items | Excessive single batch data volume easily triggers interface rate limiting, while too small a volume increases the number of invalid requests |
FIELD_MAPPING_RULE | Strictly match field names and units | The fields and units of plastics and rubber data are fixed, and direct alignment can avoid format errors in due diligence reports |
WEBHOOK_RETRY_TIMES | 2-3 times | Automatic retries during temporary interface fluctuations can reduce the probability of data synchronization failures |
REQUEST_RATE_LIMIT | 10-20 requests per minute | Matches the interface rate limiting thresholds of most commodity data sources, to avoid triggering interception |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: A
401 Unauthorizederror is returned when calling an external data source interface, prompting authentication failure. Cause:UPSTREAM_API_AUTH_TYPEand corresponding authentication parameters are not configured correctly, or the bound API key has expired. - Symptom: Operation failure is displayed when binding a third-party search external interface, and authorization binding cannot be completed. Cause: Correct associated parameters are not filled in the interface configuration, or interface permissions have not been fully activated.
- Symptom: An
AttributeErrorerror is returned when testing model requests forwarded via a third-party interface in FastGPT. Cause: Model input parameter fields are not mapped correctly, or the forwarding interface is not properly compatible with the internal fields of the target model.
How to Confirm Configurations Are Correct
- Initiate a single interface request, and check whether the field names and units of the returned data align with the preset plastics and rubber data rules.
- Configure a scheduled synchronization task, and check whether error messages such as timeouts and authentication failures exist in the task logs. Adjust corresponding configuration items based on the logs.
- Pull a batch of data, and verify whether the total number of returned data matches the settings of the pagination parameters.
- Bind interfaces from multiple different data sources, and verify that configurations of different authentication types can be switched and used normally.
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.