What data for this category looks like
Data for carbon steel-related financial marketing content primarily comes from steel mill ERP systems, regional spot trading platforms, and industry reference price databases. Two update frequencies apply: factory reference prices update daily, while spot inventory and real-time transaction prices update every 1 to 4 hours. Most documents use structured table formats, with fields including grade, specifications (thickness, width, length), material grade, unit price, inventory balance, delivery lead time, and others. Units follow industry standard conventions, such as yuan per ton, millimeters, meters, and similar. Some non-standard specifications include an additional remarks field.
What constraints these characteristics impose on HTTP interfaces and external systems
The high-frequency update rhythm of carbon steel data requires HTTP interfaces to support short-cycle polling or Webhook push, to prevent data lag from invalidating financial marketing content. Multi-dimensional structured fields require interface request parameters to support multi-condition filtering such as grade, specification range, and material grade. Returned results must strictly match predefined field definitions. The remarks field for non-standard specifications must support fuzzy matching queries, so the interface must provide corresponding parameters. For scenarios with large single-batch data volumes, a pagination return mechanism must be configured to avoid overload from single requests. Differences in format across external data sources require the interface layer to complete data format mapping in advance, to ensure unified access to data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Carbon steel marketing documents are mostly structured tables or long-form quotation sheets, which take longer to parse |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Spot inventory reports and historical quotation statement files for carbon steel have large file sizes |
ragTopK | 8-12 entries | Carbon steel marketing content requires comparative information across multiple specifications and grades; too many recall results will cause content redundancy |
SIMILARITY_THRESHOLD | 0.72-0.85 | Grades and specifications for carbon steel have high similarity, so a higher threshold is needed to avoid irrelevant recall |
HTTP_REQUEST_TIMEOUT | 120 seconds | External data source interface response times may be affected by industry market fluctuations, so sufficient waiting time must be reserved |
WEBHOOK_SIGN_SECRET | Generate a random key based on business scenarios | Security of externally pushed data must be ensured to prevent unauthorized access |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material forms, data volumes, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- External data source interface calls return
504 Gateway TimeoutorApi response error: undefined, with no specific error information. The cause is that theHTTP_REQUEST_TIMEOUTparameter is not configured, or its value is set too short, causing interruptions to real-time data requests during high-frequency updates. - When creating a file collection, it is not possible to specify PDF parsing parameters, resulting in failed parsing of structured quotation sheets. The cause is that the
PDF_STRUCTURE_PARSEswitch is not enabled in the file upload interface, or corresponding parsing parameters are not passed. - The number of matching results for Webhook-pushed marketing content is abnormal. The cause is that the
ragTopKparameter is not adjusted according to the multi-dimensional filtering requirements of carbon steel, or the request parameter format for multi-condition filtering is not configured correctly.
How to Verify Correct Configuration
- Initiate a single external data source interface request, and verify that returned fields fully match the predefined carbon steel marketing data fields.
- Upload a standard carbon steel quotation PDF file, and check that the parsed result includes core fields such as grade, specifications, and unit price.
- Configure a Webhook push test, verify that the signature verification logic works normally, and that pushed data has no format errors.
- Initiate a multi-condition filtering request, confirm that the interface returns results that comply with predefined filtering rules.
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.