What Data for This Category Looks Like
Data sources for chemical fiber research reports include public reports from industry associations, market monitoring data from commodity trading platforms, and operating data regularly disclosed by listed companies. Update rhythms fall into two categories: regular market monitoring data is updated weekly, and in-depth industry analysis reports are released on demand following industrial policy adjustments and major supply and demand changes. Document structure includes four core parts: macro industry analysis, quantitative supply and demand tables, upstream and downstream industrial chain linkage data, and policy impact interpretation. Core involved fields include production capacity, output, raw material cost, and product selling price, with corresponding units of ten thousand tons, ten thousand tons, yuan/ton, and yuan/ton.
What Constraints These Characteristics Impose on Workflow Orchestration
Dispersed data sources and mixed formats require workflow configurations with multiple data source access nodes, and separate parsing logic for structured tables and unstructured text. This avoids field extraction errors caused by generic parsing. Large differences in update cycles require workflows to support scheduling data pull tasks at different trigger frequencies such as weekly or monthly. This avoids repeated data pulls or missed critical data. Close industrial chain linkage requires workflows to support cross-report associated retrieval, linking upstream raw material data with downstream product data for joint analysis. Inconsistent field units require workflows to have built-in standardization processing nodes, unifying measurement calibers to ensure the accuracy of subsequent analysis.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
schedule_cron | 0 0 2 * * 1 (weekly data pull), 0 0 3 * * 1 (monthly data pull) | The update cycles of weekly monitoring data and monthly supply and demand reports in the chemical fiber industry differ. Scheduling at different times avoids resource competition |
table_parse_max_rows | 50 | Supply and demand balance sheets and price trend tables in chemical fiber research reports usually contain fewer than 50 rows of detailed data. This value covers most table content |
unit_convert_rule | Unified conversion to yuan/ton | Most core quantitative indicators in the chemical fiber industry use yuan/ton as the pricing unit. Unifying the caliber simplifies subsequent joint analysis |
context_chunk_size | 800–1200 characters | Analysis paragraphs in chemical fiber research reports have high density. This chunk length balances recall accuracy and context completeness |
max_parallel_executions | 3 | The number of upstream and downstream association nodes in chemical fiber research reports usually does not exceed 3. Limiting parallel numbers avoids system resource overload |
workflow_timeout | 600 seconds | The parsing and associated retrieval process for a single chemical fiber research report usually takes a long time. This threshold covers most normal execution scenarios |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on the reader's own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Tool call errors occur in runtime mode, with no exceptions in debug mode. Cause: Data source access permissions for the production environment are not configured in runtime mode, or parameters of the scheduled trigger node are not synchronized with temporary configurations in debug mode.
- Phenomenon: Exported workflow conversation records only contain the last several entries. Cause: The full storage switch for the conversation record storage node is not enabled, only the latest session fragments are retained.
- Phenomenon: Only one of multiple parallel branches executes, or flow logic becomes confused. Cause: No unified trigger condition is configured for parallel branches, or circular dependencies between branches cause abnormal execution order.
How to Confirm Proper Configuration
- Manually trigger a workflow run, review execution logs for each node, confirm no abnormal errors in data source pull, table parsing, unit conversion and other links.
- Verify the scheduled trigger configuration of the workflow, confirm that the scheduling times for weekly and monthly data pull tasks match the industry data update rhythm, with no duplicate or missed scheduling items.
- Select a typical chemical fiber research report, verify that quantitative indicator units in retrieval results are unified, and the context chunk length adapts to the content density of the report.
- Test the execution logic of multiple parallel branches, confirm that all configured branches execute normally and return corresponding data results.
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.