What Data Looks Like for This Category
Financial report data for optical module-related companies comes primarily from publicly disclosed periodic reports and temporary announcements. Quarterly reports are updated once per quarter, annual reports once per year, and temporary announcements are released alongside major business milestones. Most documents are in PDF format, with fixed structural chapters. These chapters include fields such as revenue composition, optical module shipment volume, unit selling price, gross profit margin, and production capacity utilization rate. Common units for these fields include units, yuan per piece, ten thousand yuan, and others. Some data is disclosed split by segmented product categories such as high-speed and low-speed optical modules.
What Constraints Do These Characteristics Impose on Workflow Orchestration
The publicly disclosed format differences, fixed chapter structure, and split-by-segment fields of optical module financial reports impose multiple constraints on workflow orchestration. First, PDF-format financial reports require targeted document parsing rules to extract optical module-related data from specified chapters, preventing irrelevant content from interfering with subsequent processing. Second, the fixed quarterly and annual update cycle requires the workflow to support a combination of scheduled and manual trigger execution modes, to adapt to processing needs for different data update rhythms. Third, split-by-segment fields require precise field extraction rules, to ensure that extracted shipment volume, selling price, and other data are directly tied to optical module business, avoiding mixing in financial information from other business segments.
How to Set Configurations
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Optical module financial report PDFs have many pages and complex content structures, so sufficient time must be allocated to complete full parsing |
chunkSize | 800–1200 characters | Adapts to the splitting needs of long text in financial report chapters, ensures that a single segment contains complete business data paragraphs, and avoids splitting mid-field |
recallTopK | top 3–5 entries | Core financial data is concentrated in a small number of chapters, this value balances recall completeness and irrelevant content filtering |
similarityThreshold | 0.75–0.85 | Accurately matches financial report chapters and fields related to optical modules, avoiding mixing in non-target data from other business segments |
scheduleTrigger | every quarter, every year | Matches the fixed quarterly and annual update rhythm of financial reports, reducing invalid execution times |
exportFormat | JSON | Adapts to subsequent data transfer and secondary processing needs, and meets the general format requirements for workflow exports |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: After importing a JSON workflow shared by others, the text processing module does not appear in the interface, or the module appears grayed out and unavailable. Cause: The local runtime environment does not have the corresponding text processing plugin deployed, or the plugin version referenced by the workflow does not match the locally installed version.
- Phenomenon: After clicking the export button of the workflow, a JSON format download file cannot be generated, and an insufficient permissions prompt pops up on the interface. Cause: The export permission configuration for the workflow is not enabled, or the current account does not have permissions for the corresponding export operation.
- Phenomenon: After setting
recallTopKto 2000, the generated analysis report uses far more tokens than expected, exceeding the model context limit. Cause: The recalled data from optical module financial reports contains a large amount of non-core redundant content. An excessively high number of recalled entries introduces irrelevant text, leading to excessive token consumption.
How to Confirm Proper Configuration
- Upload a locally saved optical module company financial report PDF, check if the parsed text segments fully cover core business chapters, with no obvious content truncation or omissions.
- Trigger a single workflow execution, check if the exported JSON data includes preset target fields such as optical module shipment volume and unit selling price, and that the field format matches expectations.
- Adjust the
recallTopKandsimilarityThresholdparameters, compare output content across different configurations, confirm that core data is fully recalled and that there is no excessive irrelevant information. - Test the scheduled trigger function, confirm that the workflow will automatically execute according to the preset cycle, without requiring manual trigger of session interactions.
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.