What Data for This Category Looks Like
Cement financial report data sources include publicly disclosed periodic reports of listed companies on the Shanghai and Shenzhen Stock Exchanges, and industry operation briefings released by the national building materials industry association. Update schedules are as follows: Listed company quarterly reports are released within 30 days after the end of each quarter, annual reports are released by the end of April each year, and monthly industry operation data is released in the middle and late months. Document formats are mostly structured Excel tables or PDF reports with fixed layouts. These documents include three categories of detailed items: production, sales, and cost. Fields include clinker capacity utilization status, average cement ex-factory price, unit production cost, and regional shipment volume. Units are dimensionless, yuan/ton, yuan/ton, and ten thousand tons respectively.
Constraints on Tool Calling and Plugins
Differences in update schedules across data sources require tool calling to support scheduled pull tasks. Quarterly financial report data must align with listed company disclosure cycles. Monthly industry data must fit fixed monthly release windows. Coexisting structured and unstructured document formats require plugins to support both structured table parsing and PDF content OCR extraction. This avoids missing detailed fields. Format differences across multiple data source types require tools to complete format verification and field mapping before calling. This ensures cement financial report data from different sources can be unified into the analysis process. Cement financial reports include many regional subdivision fields. Tool calling must support filtering data by region, to meet specific needs for regional market analysis. Additionally, field naming varies across different data sources. Plugins need to configure automatic field mapping rules to reduce manual intervention costs.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_timeout | 300 seconds | Cement financial report PDFs usually contain multi-page structured tables, so sufficient time must be reserved for OCR and structured extraction |
max_retries | 2 times | Industry data source interfaces occasionally have fluctuations, retries can reduce call failure rates and avoid single call interruptions |
parse_strategy | structured_first + ocr_fallback | Prioritize parsing structured tables in documents, automatically trigger OCR when recognition fails, to adapt to mixed-format financial report documents |
data_source_scope | listed_company + industry_association | Cover listed company periodic reports and monthly industry operation data, to meet comprehensive cement financial report analysis needs |
unit_conversion_enable | Enabled | Unify unit formats across different data sources, to avoid calculation errors caused by unit mismatches during analysis |
region_filter_enable | Enable as needed | Support filtering data by specified regions, to adapt to analysis scenarios for segmented regional markets |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Issue: The application cannot view detailed execution logs of tool calls after invocation. Cause: The
enable_plugin_logconfiguration item is not enabled, and the storage function for plugin call records is not activated. - Issue: API calls cannot associate historical sessions, and each call generates a brand new analysis session. Cause: The
chatIdparameter is not correctly passed in the API request body, and the parameter specification for session association is not followed. - Issue: The custom Python plugin returns
ModuleNotFoundErrorwhen executing the cement financial report parsing script. Cause: No dependency package installation steps are added in the plugin configuration, and third-party libraries required for parsing are not installed in advance.
How to Confirm Proper Configuration
- Initiate a single test call, check the tool execution record in the conversation details page, and confirm that plugin call logs are stored normally.
- Initiate two consecutive calls with a fixed
chatId, confirm that the two sessions are associated with the same context, and no new session is generated. - Upload a sample cement financial report document, trigger the plugin parsing process, and check whether the returned structured data includes correct fields and unit mappings.
- Run the local test script for the custom Python plugin, check that the execution log has no dependency missing errors, and confirm that the plugin configuration is correct.
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.