HTTP Interfaces and External Systems for Energy Metal Yield

What the data for this category looks like

Energy metal market data is sourced from public interfaces of commodity spot and futures trading markets, plus standardized submission data from industry self-regulatory organizations. Updates align with the trading hours of corresponding markets. Data is pushed during daytime trading sessions per the market’s public schedule. A complete dataset for the day’s settlement metrics is generated after market close.

Data is packaged in JSON format, including fields such as product identifier, trading market identifier, latest transaction price, daily settlement price, and daily cumulative trading volume. The pricing unit is uniformly yuan/ton or kilogram-level standard units.

Constraints for HTTP interfaces and external systems

Since data sources cover multiple trading markets, authentication requirements and field naming vary across sources. External systems must adapt to multiple sets of authentication logic and complete field mapping.

Update schedules change with trading hours. Scheduled fetch tasks must be configured to avoid invalid requests outside trading hours. Request frequency must also be controlled to match the rate limiting rules of data sources.

The energy metal category covers multiple sub-categories. Interfaces must support batch queries to reduce request load on external systems. Additionally, cross-market timestamp conversion must be handled uniformly to avoid data time anomalies caused by time zone differences.

Configuration Settings

Configuration Item	Suggested Value	Rationale
`request_interval`	`10-30 seconds`	Aligns with the market update schedule during energy metal trading hours, and avoids exceeding the call frequency limits of data sources
`auth_type`	`Configure per data source`	Authentication requirements vary across market data sources. Some are public interfaces with no authentication needed, while others require API keys
`fetch_time_window`	`9:00-17:00 (corresponding to major domestic trading hours)`	Adapts to energy metal trading hours and reduces invalid requests outside trading sessions
`field_mapping_rule`	`Map to standard fields per product`	Field naming differs across data sources. Uniformly map to internal standard field formats
`retry_max_times`	`3 times`	Addresses temporary network fluctuations or temporary data source rate limiting scenarios, and avoids resource waste from repeated requests
`timeout_threshold`	`15 seconds`	Meets the real-time requirements of market data. Requests exceeding this threshold are terminated directly and trigger alerts

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 Mistakes

Failing to trigger retries after request timeouts, leading to indefinite waiting by external systems. Symptoms include ETIMEDOUT status codes appearing in external system logs, with processes occupying resources continuously without release. Causes include not configuring the retry_max_times parameter, or setting an overly long retry interval that does not match the real-time requirements of market data.
Incorrect field mapping leading to empty yield-related data. Symptoms include empty price_change fields in JSON data received by external systems, making corresponding broadcast content impossible to generate. Causes include not using unified mapping per the field_mapping_rule configuration, and directly using non-standard field names from data sources.
Sending requests outside trading hours leading to rate limiting. Symptoms include HTTP interfaces returning 429 Too Many Requests status codes, with subsequent requests temporarily blocked. Causes include not configuring the fetch_time_window parameter, leading to continuous requests sent after market close or during market closures.

How to Verify Proper Configuration

Send a single test request, check if the returned JSON fields include standard market data fields, and confirm that units match expected values. Adjust the field_mapping_rule configuration based on the actual data source.
Configure scheduled fetch tasks, send requests during both trading and non-trading hours, and verify that requests during non-trading hours are blocked and requests during trading hours return data normally.
Simulate a request timeout scenario, check if the preset retry mechanism and alert rules are triggered. Adjust parameters based on timeout_threshold and retry_max_times.
Compare return data from multiple data sources, check if field mapping is uniform, and avoid inconsistent field formats across different data sources.

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.