HTTP Interfaces and External Systems for Energy Metals

What Data for This Category Looks Like

Data for energy metals due diligence reports comes from public disclosed data of domestic nonferrous metal industry associations, market data from the Shanghai Futures Exchange and London Metal Exchange, import and export record data from the General Administration of Customs, and public annual operating reports from mining and smelting enterprises.

Data update rhythms vary by dimension: spot trading data is updated daily, industry inventory data is updated weekly, monthly supply and demand statistics are updated monthly, and corporate financial reports are updated quarterly.

A single due diligence report includes four core data modules: product classification, market trends, industrial chain supply and demand, and import and export status. Each module uses independent data source interfaces.

Fields include product name, spot settlement price, total social inventory, monthly output, and total import and export volume. Their respective units are none, yuan/ton, ten thousand tons, ton, and ton. Cross-market trading data requires unit conversion.

Constraints on HTTP Interfaces and External Systems from These Characteristics

Differing update frequencies across data sources require configuring dimension-specific scheduled pull rules for HTTP interfaces, matching the update rhythms of different data such as spot, inventory, and financial reports.

Inconsistent units across multi-source data require configuring unified field conversion rules, standardizing units returned by different interfaces (such as yuan/ton, US dollar/ton) to a target format.

The fixed structure of due diligence report documents requires configuring response field mapping rules, aligning original fields from each data source to unified report template fields.

Some professional data sources require API key authentication, requiring secure parameter storage and calling logic.

Massive data returned by a single request requires configuring pagination pull parameters to avoid request timeouts.

How to Set Configurations

Configuration Item	Recommended Value	Rationale
`HTTP_REQUEST_TIMEOUT`	300–600 seconds	Matches the response latency of most energy metals data source interfaces, avoids timeout for routine market data requests
`AUTH_API_KEY`	Configure dedicated keys as required by data sources	Most professional futures and industry association interfaces require API keys for identity verification, ensuring secure data access permissions
`SCHEDULE_PULL_INTERVAL`	1 hour (spot data), 1 day (inventory data), 1 quarter (financial report data)	Matches the update rhythms of different dimension data, avoids repeated pulls or data lag
`FIELD_MAPPING_RULE`	Map according to due diligence report template fields	Unifies original fields from various data sources to modules required by reports such as product, market trend, supply and demand, ensuring consistent data structure
`UNIT_CONVERSION_CONFIG`	Enable automatic conversion, configure exchange rate and unit conversion rules	Resolves inconsistent units returned by different data sources such as yuan/ton, US dollar/ton, ensuring consistent report data format
`PAGE_SIZE`	100 entries	Adapts to the single return volume of energy metals category data, avoids timeouts caused by excessive data in a single request

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Phenomenon: The Set-Cookie field in HTTP response messages is not correctly extracted, subsequent requests fail to carry authentication information, and the interface returns a 401 status code. Cause: Session cookie persistence configuration for the HTTP request module is not enabled, only the authentication cookie is obtained once and not reused in subsequent requests.
Phenomenon: Knowledge base image links obtained via API cannot load properly in third-party systems, displaying as empty or broken. Cause: Cross-domain access permissions for image links are not configured, third-party systems cannot directly access FastGPT's internal API image interfaces.
Phenomenon: When calling the conversation API, only complete single response content is received, and streaming chunked return results cannot be obtained. Cause: The Accept: text/event-stream parameter is not added to the request header, and the request mode for streaming output is not enabled.

How to Confirm Proper Configuration

Manually initiate an HTTP request, verify whether the returned original fields align with the configured FIELD_MAPPING_RULE, and confirm that the converted fields meet the requirements of the due diligence report template.
Check the execution records of scheduled tasks, confirm that the pull intervals of different data sources match the configured SCHEDULE_PULL_INTERVAL, and that no requests have timed out or failed.
Call the conversation API and configure the Accept: text/event-stream request header, check whether chunked streaming return data can be received.
Verify cross-domain access permissions for third-party systems to image links, confirm that the configured cross-domain rules allow the target domain to access internal API image interfaces.

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.