What This Category's Data Looks Like
Thermal coal financing daily report data is mainly sourced from domestic coal spot trading platforms, coastal port financing ledgers, and publicly disclosed information from regional coal industry associations. It is updated at fixed times each day with full financing data from the previous trading day. The data uses a standard structured format, including two types of fields: identifying and business. Core fields include variety name, origin code, port name, financing subject type, single financing amount, financing annual interest rate, financing term, and release date. Financing amount is measured in ten thousand yuan, price in yuan per ton, interest rate in percentage, and term in calendar days.
How These Characteristics Impact HTTP Interfaces and External Systems
The daily update rhythm of thermal coal financing daily reports requires HTTP interfaces to use scheduled pull scheduling at fixed times. This prevents frequent requests from exceeding the data source interface's current limiting threshold. The structured multi-field business design requires interface requests to support specified field filtering. This reduces redundant data transmission. The financial nature of financing data requires interface return fields to include verifiable legitimacy identifiers. This simplifies subsequent data cleaning. The entry scale of a single daily report requires the interface to support pagination query parameters. This stops request timeouts caused by overly large single returned data volumes. Differences in field naming across data sources require external systems to pre-configure field mapping rules. This adapts to format variations in thermal coal financing data from different sources.
Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_request_timeout | 600 seconds | Thermal coal financing daily reports have large single-batch data volumes. This reserves sufficient request processing time to avoid mid-request interruptions |
field_mapping_strategy | Map according to industry standard fields | Unify field naming differences across data sources to ensure consistent data structure |
data_filter_fields | variety name,port name,financing amount,release date | Only return core business-required fields to reduce data transmission and processing overhead |
pagination_enable | Enabled, 200 entries per page | Adapt to the entry scale of a single daily report to avoid excessive data returned in a single request |
request_schedule | Triggered daily at 09:00 | Match the daily update time of the data source to obtain the latest previous trading day data |
data_validate_rules | Calibrated based on actual testing | Validate financial data legitimacy such as financing amount greater than 0 and interest rate within a reasonable range |
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 specific analysis. It is recommended to test on your own samples before finalizing the configuration.
Three Common Mistakes
- Phenomenon: The HTTP interface returns a
413 Request Entity Too Largeerror. Cause: Pagination configuration is not enabled. The full thermal coal financing daily report data returned in a single request exceeds the interface transmission limit. - Phenomenon: Field matching errors occur after importing a CSV file of thermal coal financing daily reports uploaded via API. Cause: No field mapping rules are configured. The corresponding columns in the file are not mapped to the standard business-required fields.
- Phenomenon: Pulled financing daily report data lags behind by more than one calendar day. Cause: The pull scheduling time is set later than the daily update time of the data source. The fixed update rhythm is not matched.
How to Confirm Proper Configuration
- Initiate a single HTTP interface request. Confirm that the returned HTTP status code falls within the normal business range, and the returned fields match the pre-configured filtered fields.
- Check the system scheduled task log. Confirm that the data pull action was triggered at the configured pull time, and the release date of the returned data matches the previous trading day.
- Upload a test structured data file. Check whether the imported field mapping results comply with the preset business field rules.
- Simulate request volume matching the pagination configuration. Confirm that the interface does not return transmission limit-related errors, and the pagination logic functions 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.