What Data for This Category Looks Like
Financial report data for the optical and optoelectronic industry comes primarily from periodic reports disclosed by domestic and overseas stock exchanges, and quarterly operating data released by industry associations. Update schedules follow regulatory requirements: annual reports must be disclosed by April 30 of the following year, semi-annual reports by August 31, and quarterly reports released within 10 business days after the end of the quarter. Documents use a combination of structured tables and paragraph text, including fields such as revenue breakdowns, R&D investment, inventory turnover, and capacity utilization. Most statistical units are hundreds of millions of yuan, ten thousands of yuan, and days.
What Constraints Do These Characteristics Impose on Workflow Orchestration?
Fixed time windows for financial report disclosure require workflows to be configured with scheduled trigger nodes, to match regulatory disclosure cycles for batch tasks. Unique multi-dimensional fields such as segmented revenue and capacity require workflows to be configured with structured extraction nodes, to target industry-specific data items. Single annual reports often exceed 50 pages, requiring workflows to be configured with segmented parsing nodes to avoid exceeding model context limits. Statistical units vary across different data sources, requiring a pre-configured unit standardization step in the workflow to convert all data to target units.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single optical and optoelectronic financial report files often exceed 50 pages. Default timeout values are insufficient for complete parsing |
maxContext | 8000–12000 characters | Adapts to the length of single text segments after financial report segmentation, avoiding exceeding model context limits |
Knowledge base recall count | Top 8 entries | Optical and optoelectronic financial reports have many segmented fields. A sufficient number of associated knowledge base entries are required to support accurate extraction |
Text Chunk Size | 1000–1500 characters | Balances single-segment information integrity and model processing efficiency, avoiding semantic fragmentation caused by overly short segments |
API-triggered Workflow Permission | Trusted IP whitelist only | Financial report data belongs to sensitive industry information. Restricting API call sources protects data security |
Node Retry Count | 2 retries | Addresses occasional network fluctuations or model call failures during parsing, preventing immediate termination of single tasks |
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 settings.
Three Common Mistakes
- Issue: When calling the API to trigger a workflow, dynamically selected knowledge bases cannot be passed. Cause: The knowledge base source of the knowledge base search node is not configured as a variable, and the
knowledgeBaseIdfield is not included in the API request body. - Issue: After manually inserting audio and video markers, workflow output results do not correctly display audio and video components. Cause: FastGPT version 4.8.2 or higher is not used, and the rich text parsing configuration item for the node is not enabled.
- Issue: The text content extraction node returns model prompt-related errors after running. Cause: The prompt does not limit the unique extraction fields of optical and optoelectronic financial reports, or a unified statistical unit conversion rule is not specified.
How to Verify Proper Configuration
- Trigger a test workflow for a single financial report. Check if the parsed text segments match the set length range, and adjust the segment length configuration as needed.
- Check that variable parameters in the API request body match the variable configuration item names of workflow nodes, verifying that dynamic knowledge base selection takes effect.
- Review node operation logs to confirm no timeout errors occur during the file parsing phase, verifying that the timeout configuration meets the processing requirements for single financial reports.
- Manually insert audio and video markers and run the workflow. Confirm that the output result includes recognizable rich text format, verifying that the rich text parsing switch is enabled.
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.