What the data for this category looks like
Commercial vehicle financial report data primarily comes from official regular reports of listed commercial vehicle enterprises, disclosure platforms of domestic and overseas stock exchanges, and production and sales data released by industry regulatory authorities. Update cycles include monthly production and sales data updates, quarterly and annual financial report disclosures. Document structures include consolidated financial statements, revenue breakdowns by business segment, and fields exclusive to commercial vehicles such as vehicle sales and operating costs of commercial vehicles. Field units include units, yuan, liters/100km, units, etc. Some data requires differentiation by vehicle segment categories such as heavy-duty trucks, light-duty trucks, and buses.
Constraints imposed by these characteristics on tool calling and plugins
The multiple update frequencies of commercial vehicle financial reports require tool calling to adapt to the refresh cycles of different data sources. Monthly production and sales data requires daily synchronization of temporary disclosure information, and quarterly financial reports require data pulling within 12 hours after disclosure. Segmented vehicle fields require tool parameters to support filtering data by categories such as heavy-duty trucks and light-duty trucks, to avoid confusing results across all product categories. The multi-document structure and scattered note data require enabling chapter positioning and field mapping functions in plugin configurations, to unify unit formats across different enterprises. For example, convert ten thousand yuan to yuan to ensure calculation consistency. Some data requires association with actual data from the vehicle operation end, so tool calling must support cross-data source associated queries, such as matching financial report data with terminal operation data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
mcp_data_source_refresh_interval | 3600 seconds | Commercial vehicle monthly production and sales data is updated daily, and rapid synchronization is required after financial report disclosures. A 1-hour refresh balances real-time performance and resource usage |
rag_chunk_size | 800–1200 characters | The notes sections of commercial vehicle financial reports are relatively long. This segment length adapts to the structure of financial report paragraphs, avoiding splitting key production, sales and financial fields |
rag_top_k | Top 8 entries | Key data from commercial vehicle financial reports is scattered across multiple sections. Recalling 8 entries can cover the main financial statements, sales details and operating cost fields |
mcp_field_mapping_enabled | Enabled | There are differences in financial report field naming across commercial vehicle enterprises. Enabling this function allows unified mapping to standard field names |
plugin_timeout | 600 seconds | Cross-data source associated queries require longer processing time, to avoid interrupting data pulling and analysis tasks due to timeout |
rag_similarity_threshold | 0.75–0.85 | Commercial vehicle financial reports contain a large number of professional terms. This threshold range filters irrelevant content while retaining matching results for key fields |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: When using a locally privately deployed Qwen3-32B model to call the MCP MySQL query service, a
500 Internal Server Erroris returned, prompting a field format mismatch. Cause: The local model did not correctly load the field verification plugin for the MCP protocol, and cannot recognize the vehicle segment-specific field coding in commercial vehicle financial reports. - Symptom: When calling the knowledge base combined with tool plugins, the returned financial report data is not filtered by the specified heavy-duty truck sales dimension, but returns full-category revenue data. Cause: Filter parameters for segmented vehicle models were not configured, resulting in recalled documents that did not match the exclusive category fields of commercial vehicles.
- Symptom: When pulling commercial vehicle financial report data for multiple quarters in batches, the task returns an
ETIMEDOUTerror. Cause: Theplugin_timeoutparameter was not adjusted, and the default timeout duration is insufficient to handle cross-data source associated queries and data aggregation.
How to Verify Proper Configuration
- Execute a test query, input "2024 commercial vehicle enterprise heavy-duty truck sales", check whether the returned results only include sales data for the heavy-duty truck category, and adjust relevant parameters until the expected results are matched.
- View the refresh logs of the MCP data source, confirm that the data update cycle matches the values set in the configuration items, and verify whether monthly production and sales data is synchronized to the platform on time.
- Call the locally privately deployed model to perform a financial report field mapping test, check whether the returned fields are uniformly using standard names, and confirm that the field mapping configuration is effective.
- Simulate pulling financial report data for three quarters in batches, monitor task execution duration, and adjust timeout parameters to ensure the task does not trigger a timeout error.
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.