What the data for this category looks like
Semiconductor financing daily report data is sourced from public industry financing disclosure portals, public datasets released by semiconductor industry associations, and semiconductor company financing dynamic databases tracked by securities firms. Updates are released once per trading day, and delayed to the next trading day for non-trading days. Documents use a structured table format. Each record includes fixed fields: company name, semiconductor sub-sector, financing amount, financing round, investor list, disclosure date, region, and others. Financing amount units include RMB ten thousand, RMB hundred million, and USD. Financing round uses a standardized string format. Disclosure dates follow the YYYY-MM-DD format.
What constraints do these characteristics impose on workflow orchestration
The requirement for data to update per trading day means the workflow trigger node must be bound to a securities trading calendar. This avoids pulling invalid empty data during non-trading hours. The presence of semiconductor sub-sector tags means the workflow’s classification node must preset sub-fields such as wafer manufacturing, chip design, packaging and testing. General financing classification rules cannot be used. The multiple units for financing amounts require a unit standardization conversion node in the workflow. This ensures numerical consistency for subsequent statistical analysis. The use of disclosure date as a core deduplication identifier means the workflow’s deduplication step must use disclosure date plus company name as a combined primary key. This prevents duplicate inclusion of the same financing event.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
cron_expression | 0 9 * * 1-5 | Matches semiconductor industry trading calendar, triggers workflow before market open each trading day to avoid pulling invalid data during non-trading hours |
data_source_filter | ["semiconductor design", "wafer manufacturing", "semiconductor packaging and testing"] | Focuses on target sub-sectors, filters unrelated general financing events to ensure output aligns with the positioning of semiconductor financing daily reports |
unit_conversion_rule | {"USD": "CNY*7.2", "Ten Thousand Yuan": "Hundred Million Yuan/10000"} | Unifies measurement standards for financing amounts, eliminates numerical calculation errors caused by different units, ensures consistency in text splicing |
deduplicate_key | ["disclosure_date", "company_name"] | Uses disclosure date and company name as combined deduplication identifier to avoid duplicate inclusion of the same financing event |
workflow_timeout | 600 seconds | The data pulling and processing steps for semiconductor financing daily reports involve multiple API calls, reserve sufficient timeout to avoid mid-run interruptions |
api_request_pagination | Dynamically adapt pagination based on the total field returned by the API | The number of semiconductor financing events fluctuates with market conditions; dynamic pagination avoids missing data or duplicate pulling |
The parameter values provided on this page are conventional recommendations used as a starting point 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 internal samples before finalizing settings.
Three Common Errors
- Phenomenon: The financing daily report text spliced by the workflow does not match the field content of the source structured document. Cause: The
unit_conversion_ruleparameter is not configured, and no standardization conversion is performed for financing amount units, leading to unit confusion or numerical errors during splicing. - Phenomenon: The judgment node always returns a "non-empty" judgment result regardless of whether the input financing event list is empty. Cause: No null value verification rule is configured for the judgment node, and an empty array returned by the data source is directly judged as valid content.
- Phenomenon: The financing daily report generated by the AI node does not reference the semiconductor financing data returned by the database query, and only generates generic responses. Cause: The output of the database query node is not bound to the context input parameter of the AI node, so the AI cannot obtain the specific financing information queried.
How to Confirm Configuration is Correct
- Trigger the workflow once, check if the pulled financing data only includes entries for the preset semiconductor sub-sectors, and verify that the data source filter configuration is effective.
- Manually construct a piece of financing amount data with different units, check if the text output by the workflow completes unit standardization conversion, and verify that the data conversion configuration is effective.
- Pass an empty financing event list, check if the judgment node correctly returns a "empty" judgment result, and verify that the null value verification rule is configured correctly.
- Call the published workflow interface, pass preset global variable parameters, check if the workflow correctly uses the parameters to generate customized financing daily report content, and verify that the global variable binding configuration is effective.
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.