HTTP Interfaces and External Systems for Special Steel Research Report Retrieval

Special steel research report data mainly comes from public disclosures of the China Special Steel Enterprise Association, official announcements from

What This Category of Data Looks Like

Special steel research report data mainly comes from public disclosures of the China Special Steel Enterprise Association, official announcements from domestic special steel manufacturers, and compiled content from third-party steel industry information platforms. Update cycles fall into three categories:

  • Spot price data is updated daily
  • Industry supply and demand weekly reports are updated weekly
  • In-depth analysis reports are updated monthly

Document structure includes modules such as special steel core grade parameters, chemical composition ratios, mechanical performance indicators, downstream application scenarios, regional market inventory, and monthly price trends. Fields include 牌号, 碳含量 (unit %), 屈服强度 (unit MPa), 含税出厂价 (unit yuan/ton), 发布机构, 发布日期. Some reports include additional downstream enterprise procurement data fields.

Constraints Imposed on HTTP Interfaces and External Systems by These Characteristics

The multi-granularity update schedule of special steel research reports requires interfaces to support incremental pull tasks configured for different time cycles. This avoids repeated full data pulls. The demand for multiple professional fields requires interface return parameters to support custom filtering. Only target fields are returned to reduce transmission overhead. Mixed format research report content requires interfaces to adapt to mixed parsing of structured data and unstructured text. This provides standardized output for external systems. Downstream external system docking requirements demand that interface fields align with general steel industry terminology. This reduces cross-system field conversion costs. Large-volume monthly research reports require interfaces to support pagination query parameters. It limits the amount of data returned per request to avoid timeouts or transmission failures. The demand for filtering by application scenario requires interfaces to provide the downstream_application query parameter. This adapts to the industry classification filtering logic of external systems.

Configuration Recommendations

Configuration KeyRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS300 secondsMonthly in-depth special steel research reports contain a large number of technical parameters and structured tables, which take a long time to parse. 300 seconds covers the complete parsing process
recall_top_k10-15 entriesSpecial steel research reports cover highly specialized subfields. Too many recall results increase context redundancy, while too few will miss key grade or price data
field_whitelistGrade, Carbon Content, Yield Strength, Tax-included Ex-factory Price, Release DateMatches core special steel fields commonly used by external systems. Filtering non-essential fields reduces interface transmission load
incremental_sync_cron0 0 * * * (spot data), 0 1 * * 1 (supply and demand data), 0 2 1 * * (in-depth reports)Adapts to the multi-granularity update schedule of special steel research reports. Matches the update frequency of different data to reduce invalid requests
retry_max_times3 retriesSpecial steel data interfaces may experience request failures due to temporary rate limiting from industry information platforms. 3 retries cover most temporary faults
MAX_RESPONSE_SIZE2048 KBLimits the amount of data returned per paginated request. This avoids exceeding the receiving limit of external systems

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 settings.

Three Common Configuration Mistakes

  • Issue: The 碳含量 field returned by the interface is empty. Cause: The field is not configured in field_whitelist, causing the interface to filter out professional parameters not included in the whitelist.
  • Issue: A 413 Payload Too Large error is returned for a single interface call. Cause: MAX_RESPONSE_SIZE is not configured, so the returned paginated data exceeds the receiving threshold of the external system.
  • Issue: The interface returns duplicate special steel research report data. Cause: The start_time parameter for incremental sync is not correctly bound to the 发布日期 field of the data, leading to repeated pulls of historical data that has already been synced.

How to Confirm Configuration Is Correct

  • Call the test interface, check if the returned fields include the preset whitelist fields, confirm that the field filtering configuration is effective.
  • Simulate pulling a single research report, check that the parsing time does not exceed the configured timeout threshold, confirm that the timeout configuration is reasonable.
  • View the interface call logs, confirm that the retry count does not exceed the configured maximum retry times, and there are no frequent rate limiting errors, confirm that the rate limiting retry configuration is valid.
  • Compare the data volume received by the external system with the configured response size limit, confirm that the data returned per request does not exceed the receiving limit of the external system.

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.