Tool Calling and Plugins for General Steel Financial Report Analysis

Data for general steel financial report analysis originates from three main sources: listed companies’ periodic announcements (disclosure platforms of

What the data for this category looks like

Data for general steel financial report analysis originates from three main sources: listed companies’ periodic announcements (disclosure platforms of the Shanghai Stock Exchange and Shenzhen Stock Exchange), monthly industry data from the China Iron and Steel Industry Association, and third-party structured information platforms. Periodic reports are updated per CSRC requirements: annual reports are disclosed by the end of April each year, semi-annual reports by the end of August, and quarterly reports by the end of October and the end of January of the following year. Monthly industry data is updated in the middle and late stages of each month. Third-party structured data is delayed by 1 to 2 working days relative to official disclosure timelines. Data documents fall into two categories: structured JSON/CSV files and unstructured PDF files. Core fields include consolidated operating revenue, operating costs, attributable net profit, crude steel output, steel sales volume, and energy consumption per unit product. Corresponding units include 100 million yuan, 10,000 tons, kg standard coal/ton, and others.

Constraints on Tool Calling and Plugins

The fixed disclosure timelines, diverse data sources, and exclusive operating indicators of general steel financial report data create multiple constraints for tool calling and plugin workflows. First, adapt to CSRC-mandated report disclosure timelines by configuring scheduled workflows to synchronize the latest financial report data. Second, support multi-data source aggregation by calling listed company announcement interfaces, industry association data interfaces, and third-party information plugins separately, and integrating information from financial and operating dimensions. Third, distinguish processing logic for structured and unstructured data. Configure exclusive parsing rules for exclusive fields such as crude steel output and energy consumption per unit product to avoid missing key information with general parsing logic. Fourth, add a timeliness verification link to filter third-party synchronized data delayed by 1 to 2 working days, and ensure the timeliness of analysis results.

Configuration Settings

Configuration ItemRecommended SettingRationale
plugin_data_source_types["structured_financial", "industry_statistic", "unstructured_report"]Matches the three data types of general steel financial reports, covering financial, industry statistical, and full annual report content
schedule_cron_expression"0 0 9 20-28 4,8,10,1 *"Triggers daily at 9:00 one week before each reporting period disclosure, reserving sufficient time for data synchronization
parsed_target_fields["合并营业收入", "营业成本", "归母净利润", "粗钢产量", "钢材销售量", "单位产品能耗"]Covers core financial and exclusive operating indicators of general steel financial reports, avoiding invalid parsing
request_timeout240 secondsAdapts to the average response time of multi-data source aggregation, avoiding request interruptions from early timeouts
retry_max_times2 retriesAddresses temporary fluctuations of third-party information interfaces, reducing workflow interruptions caused by single call failures
allowed_cross_domain_origins["https://your-platform-domain.com"]Restricts legitimate sources of cross-domain requests, ensuring the security of plugin calls

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material formats, 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 Configuration Mistakes

  • Symptom: Database query plugin returns empty results or an SQL syntax error error. Cause: No mapping is made between exclusive fields of general steel financial reports (such as crude steel output) and database table fields, causing the query statements generated by the plugin to fail to match the target table structure.
  • Symptom: API call plugin returns a 403 Forbidden error, and front-end requests are blocked by the browser. Cause: The allowed_cross_domain_origins parameter is not configured correctly, and the legitimate domain name of the deployment platform is not added to the whitelist.
  • Symptom: Analysis results generated by the workflow are not packaged as structured documents, and only plain text fragments are output. Cause: The format conversion configuration of the document generation plugin is not enabled, and the output template adapted to financial report analysis is not specified.

How to Confirm Successful Configuration

  • Trigger a test workflow, check the data source list returned by the plugin, and confirm that it includes three types of content: structured financial data, industry statistical data, and unstructured annual reports.
  • Check the plugin parsing results, confirm that exclusive general steel fields such as crude steel output and energy consumption per unit product have been extracted without omission.
  • View cross-domain configuration logs, confirm that only the domain name of the deployment platform is allowed to initiate plugin call requests.
  • Verify the scheduled triggering rule, use the Cron expression preview function in the test environment, and confirm that the triggering time matches the disclosure rhythm of each reporting period.

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.