What This Category's Data Looks Like
Data for aerospace equipment financial reports comes from annual reports, semi-annual reports, quarterly reports, and temporary announcements publicly disclosed by domestic military industry listed companies, as well as publicly available industry information released by official bodies such as the National Defense Science and Technology Industry Bureau. Updates follow a fixed quarterly and annual schedule, with additional updates triggered by temporary major events. Document structure includes consolidated financial statements, detailed business segment revenue breakdowns, explanations of major project progress, and disclosures related to core assets such as satellites and launch vehicles. Fields include operating revenue (by business segment), net profit, outstanding order amount, launch service unit price, number of satellites in orbit, and others. Common units are RMB ten thousand, RMB hundred million, and quantity units such as occurrences and individual units.
Constraints for Tool Calling and Plugins
The scattered data sources and unique structure of aerospace equipment financial report data create multiple constraints for tool calling and plugins. Multi-source data pulling requires adaptation to different formats, including exchange announcement PDFs and official industry documents. Plugins must support cross-source data integration. Business segments are finely divided with unique units. Tool calling must accurately map fields and units to avoid extraction errors. The long document structure creates parsing pressure. Plugins must support segmented parsing and chapter positioning to prevent processing timeouts. The non-fixed update schedule of temporary announcements requires plugins to support dynamic data pulling to meet real-time data acquisition needs.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Aerospace equipment financial report PDFs are typically 50 to 100 pages long. Long document parsing requires a longer timeout to avoid mid-process interruptions |
UPLOAD_FILE_MAX_SIZE | 1000 MB | The total size of a single annual financial report PDF and its supporting audit report may exceed conventional document limits. Upload restrictions must be relaxed |
chunk_size | 800–1200 characters | Business segment paragraphs in financial reports are relatively long. Excessively long segments lose contextual connections, while excessively short segments damage business logic integrity |
| Top Recalled Entries | Top 8 entries | Aerospace equipment financial reports have a large number of business segment fields. A sufficient number of segments must be retrieved to cover all core business revenue breakdowns |
| Similarity Threshold | 0.75–0.85 | Irrelevant paragraphs such as corporate governance and audit opinions must be filtered out, retaining only content related to financial report analysis |
PLUGIN_API_TIMEOUT | 300 seconds | When calling external military industry data interfaces, some official interfaces have slow response times. A longer timeout must be configured |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- The symptom is a text extraction tool returning the
400 Invalid JSON payload received. Unknown nameerror. The cause is that when extracting structured fields from aerospace equipment financial reports, the valid field range of the request body is not limited, leading to accidental submission of extra business segment parameters. - The symptom is an error message returned when calling the large model channel. Call logs show abnormal data acquisition. The cause is that the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted for long aerospace equipment financial report documents. Parsing timeout causes data pulling to interrupt. - The symptom is the PgVector plugin failing to complete vector database insertion after an upgrade. The cause is that the database version adaptation parameter in the plugin configuration is not updated synchronously. The old version configuration is incompatible with the new version plugin.
How to Verify Correct Configuration
- Upload the annual financial report PDF of an aerospace equipment listed company. View the segmented content after parsing to confirm that segment length meets expectations, with no obvious truncation or repetition.
- Call the data pulling plugin to attempt to obtain business segment revenue data for a specified company. Check that returned results include aerospace equipment-related business fields, with no missing or incorrectly mapped content.
- Trigger a vector database insertion task. Review plugin logs to confirm no timeouts or connection errors. The number of vector entries generated in the vector database matches the number of document segments.
- Call the large model toolchain, input a financial report analysis instruction. Check that returned results accurately extract core data such as revenue and orders for the specified business segment, with no irrelevant content included.
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.