What data for this category looks like
Data for automated equipment financial report analysis comes from two primary sources. First, annual, semi-annual and quarterly financial reports publicly disclosed by automated equipment manufacturing enterprises, covering core indicators including segment revenue, capacity utilization rate, and order delivery cycle. Second, monthly shipment volume and penetration rate statistics released by industry associations. Data updates follow a quarterly main cycle, while industry statistical data is updated monthly. The document structure includes structured consolidated financial statements, financial notes, and unstructured management discussion and analysis content. Core fields include "Automated Equipment Segment Revenue" (unit: ten thousand yuan), "Capacity Utilization Rate" (unit: percentage), and "New Signed Order Amount" (unit: ten thousand yuan). Data for some product segments will separately indicate the equipment type.
What constraints these characteristics impose on HTTP interfaces and external systems
Because automated equipment financial reports contain both structured fields and unstructured text, HTTP interfaces must support both structured parameter filtering and full-text retrieval capabilities to adapt to different analysis scenario requirements. Since data updates follow a quarterly main cycle, interface caching strategies must align with this rhythm to prevent returning stale data due to expired cache. Automated equipment financial reports include segment product category fields, so interfaces must support filtering data by equipment type (such as industrial robots, intelligent warehousing equipment) to meet analysis needs for specific scenarios. Some fields have clear units, so interfaces must carry unit information in returned results to avoid parsing errors in external systems.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
rag_batch_fetch_size | 20–50 | Automated equipment financial reports include multi-dimensional structured fields. Fetching 20-50 entries in batches balances request efficiency and data completeness |
api_cache_ttl | 7776000 seconds | Aligns with the quarterly financial report data update cycle, avoiding repeated requests caused by overly short cache expiration times |
filter_by_category | Enabled | Automated equipment financial reports require filtering by product segment. Enabling this parameter accurately returns analysis data for the target equipment type |
response_unit_include | Enabled | Financial report fields include units such as ten thousand yuan and percentage. Enabling this parameter carries unit information in responses, simplifying parsing for external systems |
api_request_timeout | 30 seconds | Fetching multi-field financial report data in batches requires sufficient response time. 30 seconds covers most normal request scenarios |
parse_structured_fields | Automated Equipment Revenue, Capacity Utilization Rate, Order Volume | Extracts core analysis fields to ensure interface returned data focuses on key indicators for financial report analysis |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Issue: Interface returns
400 do request failed: Post "https://xxx dial t; Cause: Using a global API Key only supported for knowledge base calls, without creating an application-specific API Key. - Issue: Core financial report fields returned by the interface are empty; Cause: The
parse_structured_fieldsparameter is not configured, and the dedicated analysis fields for automated equipment to be extracted are not specified. - Issue: The number of results returned by the interface does not match expectations; Cause: The
rag_batch_fetch_sizeparameter is not adjusted correctly. An overly large value causes request timeouts, while an overly small value causes multiple repeated requests.
How to confirm the configuration is properly set
- Call the interface with the
filter_by_categoryparameter set toindustrial robots, check if the returned data only includes financial report information for this product segment. - View the
Cache-Controlfield in the interface response header, confirm that the expiration time matches the value set in theapi_cache_ttlconfiguration. - Call the interface using the dedicated API Key, check that structured financial report data is returned normally without permission-related errors.
- Compare the field list returned by the interface with the fields configured in
parse_structured_fields, confirm that all core analysis indicators are 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.