What the data for this category looks like
Optoelectronics market and yield data primarily comes from public real-time market APIs of domestic stock exchanges, and public monitoring datasets from third-party industry data service providers. There are two update cadences: real-time market snapshots for individual tickers are pushed every 10 minutes during trading days, and full-category industry yield summary documents are generated once per month. Each data entry includes fields such as ticker code, ticker name, benchmark price, current price, yield value, total trading volume, and total trading amount. Price and transaction amount units are yuan. Total trading volume unit is shares. Yield value is a dimensionless decimal, with no percentage annotation.
What constraints these characteristics impose on workflow orchestration
Optoelectronics data has multiple sources and layered update cadences. Workflows must configure both real-time pull and batch summary nodes to avoid using a single trigger rule for all tasks. Different data sources have inconsistent field names. Add a unified field mapping step in the workflow to align standard field formats across all data. The number of related tickers is large, so set a reasonable single-processing limit for batch processing steps to prevent single-node execution timeouts. Real-time market data has strict timeliness requirements, so configure task priority rules to ensure real-time tasks execute first.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
Multi-source data pull node | Configure 2 independent pull nodes, connecting to the exchange market API and industry data interface respectively | The yield data for optoelectronics covers two data sources: real-time market data and monthly industry summaries |
Trigger frequency configuration | Trigger real-time tasks every 10 minutes during trading days, trigger monthly summary tasks at 00:00 on the 1st of each month | Matches the update cadence of data sources: real-time market snapshots update every 10 minutes, monthly summaries are generated once per month |
Field mapping rules | Unify the ticker code and yield value fields from different data sources into standard workflow fields | Resolves inconsistent field naming across data sources, ensuring consistent subsequent processing logic |
Batch processing threshold | Process no more than 500 records per single run | Adapts to the typical number of optoelectronics-related tickers, preventing single-node processing timeouts |
JSON format validation | Enable non-numeric type blocking, set the allowable numeric fluctuation range to ±0.001 | Filters abnormal formatted data in the yield field, ensuring calculation accuracy |
Scheduled task timeout | 600 seconds | Reserves sufficient execution time for batch pulling and processing full-category data |
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 individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: After copying components in the workflow, connection lines cannot be correctly connected, and node layout is misaligned. Cause: The platform's built-in component copy function was not used. Nodes were copied directly via the system clipboard, leading to conflicting unique node identifiers.
- Phenomenon: The tool call node returns the error
Invalid JSON: Bad control chara, and task execution is interrupted. Cause: The pulled market data contains invisible control characters, and the JSON escape processing step was not enabled, causing the returned format to not meet interface requirements. - Phenomenon: The scheduled task executes successfully but returns no valid data, with empty result fields. Cause: No task skip rule was set for non-trading days. The exchange interface has no real-time market data on non-trading days, leading to pulling empty datasets.
How to confirm proper configuration
- Manually trigger a single real-time task, verify that the pulled fields match the preset mapping rules, and confirm that the format of the
yield valuefield meets requirements. - View the scheduled task execution logs, confirm that real-time tasks trigger at the set interval, and that monthly summary tasks execute on time on the specified date.
- Input test data with abnormal formats, verify that the JSON format validation node blocks non-compliant field content.
- Adjust the single batch processing quantity, test the task execution status, and confirm that no timeout errors occur.
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.