What the data for this category looks like
Agrochemical financial report data comes from two main sources: public periodic reports of listed companies disclosed on the Shanghai and Shenzhen Stock Exchanges and Hong Kong Stock Exchange, and production and sales statistics briefings released by industry associations. Quarterly reports are disclosed within 15 days after the quarter ends. Semi-annual reports are disclosed by August 31 each year. Annual reports are released by April 30 of the following year. Document structures include main financial statements, segmented operating details, and notes related to raw material procurement and production capacity. Fields include reporting period identifier, revenue amount by product segment, unit production cost, total ending inventory. Units are 10,000 RMB and tons.
What constraints these characteristics impose on model access and configuration
The multi-segment revenue and cost data from split product categories requires precise field extraction instructions. This prevents the model from mixing up statistical scopes of different product categories. Differences in disclosure formats across quarterly, semi-annual, and annual reports require multi-format document parsing rules. These rules accommodate varying report layouts. Associated fields related to raw materials and production capacity require vector recall threshold configuration. This ensures the model can link financial report data with external industry raw material price data. Regular disclosure cycles require scheduled task scheduling configuration. This ensures timely data synchronization.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Agrochemical financial reports include segmented operating details and extensive note text, with longer parsing times than general documents |
maxContext | 8192-16384 context tokens | Fully load multi-segment data from financial reports to avoid field loss caused by context truncation |
RECALL_TOP_N | Top 8 entries | Agrochemical financial reports have many segmented fields, requiring sufficient recalled associated text to support accurate extraction |
BATCH_EXECUTE_TIMEOUT | 1200 seconds | When processing multiple quarterly financial reports in batches, total time for parsing and large model calls exceeds that of general batch tasks |
REQUEST_ID_LOG_ENABLE | Enabled | Facilitates tracking of exceptions and latency for large model calls |
UPLOAD_FILE_MAX_SIZE | 50 MB | Adapts to the typical file size of annual financial report PDFs for listed agrochemical companies |
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 individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: The large model call group count is set to 1, but single-round response latency exceeds 600 seconds, triggering platform timeout limits. Cause: No reasonable context splitting rule configured for agrochemical financial report long texts, resulting in excessive text volume processed in a single model call.
- Symptom: When connecting a custom PDF parsing service, an error is returned after a 60000ms call timeout. Cause: The
PARSE_FILE_TIMEOUT_SECONDSparameter was not adjusted, and the general document timeout setting was retained, failing to adapt to the long text parsing requirements of agrochemical financial reports. - Symptom: The batch execution node completes the full process in online debugging, but fails to finish execution via API calls. Cause: The
BATCH_EXECUTE_TIMEOUTparameter was not configured, and the default timeout period for API calls is shorter than the actual processing time of the batch task.
How to Confirm Proper Configuration
- Upload a single quarterly financial report PDF for a listed agrochemical company, verify that core fields such as product segments and revenue amounts are fully extracted from the parsing results, and confirm that the parsing timeout configuration adapts to actual duration.
- Initiate a single-round large model call, check whether the
requestidfield is generated in the logs, and confirm that the request log collection configuration is active. - Execute a batch processing task for multiple financial reports, verify that the timeout parameter returned by the API matches the configured batch execution timeout setting.
- Trigger a preset scheduled synchronization task, confirm that the task runs automatically according to the financial report disclosure rhythm, with no abnormal interruptions.
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.