HTTP Interfaces and External Systems for Cement Yield Rates

This category’s market data comes from daily spot quotes published by domestic bulk commodity spot trading platforms and regional cement industry

What the data for this category looks like

This category’s market data comes from daily spot quotes published by domestic bulk commodity spot trading platforms and regional cement industry associations. Updates are released before 16:00 on each working day, covering all regions and product categories from the previous day. Data uses structured JSON format, with fields including statistical date, sales region, cement grade, ex-factory price including tax, transportation base price, and more. All values use yuan/ton as the unit, and no percentage-based statistical indicators are included. Data is segmented by sales region and cement grade. A single entry for one region and grade has a small data size, but the full dataset covering multiple regions and grades across the country has a larger total size.

Constraints for HTTP Interfaces and External Systems

The daily update schedule of cement market data requires HTTP interface call frequency to match the update cycle, to avoid wasting resources from high-frequency repeated pulls. The segmentation by region and grade requires the interface to support filtering parameters for sales region and cement grade, to reduce returned data volume. The fixed fields in structured JSON require strict matching of preset fields when connecting to external systems, to avoid missing fields or format incompatibility. The unit of yuan/ton requires external systems to unify unit conversion logic, and not arbitrarily change the pricing unit. The rule of no data updates on non-working days requires the interface to return an empty dataset or a prompt for no latest data when called on non-working days, to prevent external systems from misjudging the request as failed.

Configuration Settings

Configuration ItemRecommended ValueRationale
request_interval86400 secondsCement market data updates once daily. Setting call frequency to once per day avoids repeated data pulls
timeout30 secondsThe data size of a single interface request is moderate. A 30-second timeout covers normal request durations and avoids long-term blocking
required_response_fields["统计日期","销售区域","水泥标号","出厂含税单价","运输基准价"]Matches the core fields required by external systems, filters redundant data
region_filterFilter by specified region codeCement prices have significant regional differences. Filtering by region reduces returned data volume
retry_times2 timesHandles occasional network fluctuations, avoids connection interruptions caused by a single failed request

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 Configuration Errors

  • An interface call returns the do_request_failed error, indicating a POST request failure. The cause is that the target data source interface has not been added to FastGPT's external request whitelist, or network policies restrict outbound requests.
  • When viewing interface call logs, the returned statistical date does not match the actual request date. The cause is that the date parameter was not passed correctly, causing the interface to always return cached old data that does not match the latest content of the actual request.
  • When streaming market data returns, the front-end receives data packets at a fixed 4-second interval. The cause is that the FastGPT streaming output interval parameter was not adjusted. The default configuration is 4 seconds, and no changes were made to adapt to front-end display requirements.

How to Verify Successful Configuration

  • Manually call the configured HTTP interface, verify that the returned fields exactly match the content configured in required_response_fields.
  • Initiate requests filtered by different statistical dates and sales regions, confirm that returned data changes dynamically with filter conditions.
  • Simulate a short network fluctuation scenario, verify that the interface automatically recovers the request within the configured retry times, with no errors.
  • Check external system connection logs, confirm that no do_request_failed type errors occur, and that data updates follow the daily update schedule.

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.