HTTP Interfaces and External Systems for Heating Supply

What this type of data looks like

Data sources include the utility market module of financial terminals, public financial report interfaces of heating supply enterprises, and regional utility regulatory financial reporting platforms. Data is generated daily. Full daily data is synchronized by the next morning. The document uses standardized structured JSON format, including data period, core heating supply operational indicators, and fields related to yield rate calculation. Fields include: report_date (date type, format YYYY-MM-DD), heating_supply_volume (total heating supply volume, unit gigajoule), unit_operating_cost (unit operating cost, unit yuan/gigajoule), total_revenue (daily total revenue, unit yuan), yield_rate_reference (yield rate calculation benchmark field).

Constraints imposed by these characteristics on HTTP interfaces and external systems

The daily update rhythm requires setting HTTP interface polling intervals to no less than 24 hours. This prevents repeated pulling of unchanged datasets, reducing interface call costs and data redundancy in financial scenarios. Data sources cover financial terminal market modules and enterprise financial report interfaces. The two types of data sources have different authentication rules. External system integration requires separate configuration of corresponding keys and permission verification logic, to comply with financial data security and compliance requirements. The structured JSON format requires external system parsing modules to strictly match field names and data types. Incorrect field mapping may cause distortion of yield rate calculation data, affecting financial analysis results. Heating supply operational data involves core enterprise business information and financial reporting data. Interfaces must be configured with IP whitelists and signature verification mechanisms to restrict unauthorized access, meeting financial data regulatory requirements. The number of fields in a single daily report is fixed. Batch pulling of historical data must support range queries by report_date, to meet historical data archiving and backtesting needs of financial institutions.

How to set configurations

Configuration Item	Recommended Setting	Rationale
`API_REQUEST_TIMEOUT`	30 seconds	Adapts to the parsing and transmission duration of a single heating supply daily report, prevents request interruptions caused by network fluctuations
`AUTHENTICATION_METHOD`	`API_KEY + IP_WHITELIST`	Balances security and integration convenience, matches the sensitive nature of heating supply data and multi-source authentication requirements
`RETRY_TIMES`	2 times	Balances interface call success rate and resources occupied by repeated requests, adapts to the daily synchronization rhythm
`BATCH_QUERY_LIMIT`	30 entries	Adapts to the single batch volume of historical data pulling, prevents interface rate limiting caused by overly large single requests
`FIELD_MAPPING_RULE`	Strictly map according to data source field names	Avoids loss of yield rate calculation data due to mismatched field names, adapts to the structured JSON data format
`REQUEST_INTERVAL`	86400 seconds	Matches the daily update rhythm of heating supply daily reports, avoids repeated pulling of unchanged 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 mistakes

Issue: Custom parameters passed via the HTTP interface do not take effect, and the returned results do not include the expected heating supply region parameters. Cause: The VARIABLE_PASS_THROUGH switch was not enabled in the interface configuration, causing externally passed parameters to not be correctly received by the system.
Issue: The interface call returns a 403 Forbidden status code. Cause: The IP address of the external system was not added to the IP_WHITELIST configuration item, triggering the interface's access permission verification rules.
Issue: The interface call returns a connection failure error. Cause: The base URL of the data source interface was incorrectly configured, replacing the valid address with a local test address, preventing normal access to the external financial market data source.

How to confirm correct configuration

Call the configured HTTP interface, check if the returned JSON data field names fully match the data source's field names, to confirm that the FIELD_MAPPING_RULE configuration is effective.
Simulate a call from an external system, pass custom parameters, check if the returned results include the expected heating supply region information, to confirm that the parameter passthrough function works correctly.
View the interface call logs, confirm that no 403 or 500 error codes were triggered, to confirm that the IP_WHITELIST and authentication configurations are correct.
Wait for the next day's automatic synchronization task to complete, check if the system successfully pulled the latest heating supply daily report data, to confirm that the REQUEST_INTERVAL configuration matches the update rhythm.

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.