What the data for this category looks like
Data sources for telecom service financing daily reports include national public resource trading platforms, specialized telecom industry monitoring databases, and corporate public financing announcements. The update rhythm collects public financing information from the previous natural day daily, and completes data cleaning and structuring on the same day. Most documents use JSON or CSV structured formats, and include standard fields: financing subject name as text, affiliated telecom service segment as categorized text, financing amount as a numeric value in ten thousand yuan, financing round as enumerated text, investors as array text, announcement date as standard date format, and disclosure source as text.
Constraints Imposed on Workflow Orchestration
Scattered data sources cause inconsistent field formats across different channels. For example, some disclosed information mixes amount units. Workflows must include configured unified field alignment and unit conversion steps. The daily update rhythm requires workflows to use fixed scheduled triggers. This avoids repeated data from frequent crawling or triggering platform access restrictions. Enumerated financing round fields require workflow-configured validation nodes to filter invalid round descriptions. Investor array fields require workflow support for array traversal nodes to handle multi-investor information extraction. Date field validation must limit to the previous day’s range to avoid pulling duplicate historical data.
How to Set Configurations
| Config Item | Recommended Value | Rationale |
|---|---|---|
trigger_cron | 0 7 * * * | Matches the requirement to collect previous day's data for telecom service financing daily reports; triggering in the morning ensures access to the latest disclosed information the same day |
field_mapping_mode | strict+custom_mapping | Field formats vary across sources; strict mode filters abnormally formatted data, while custom mapping unifies field naming |
array_traversal_limit | 10 | The number of investors per financing entry typically does not exceed 10; limiting traversal times prevents workflow timeouts |
validate_date_range | [${prev_day}, ${today}] | Only collects financing announcements from the previous day to filter duplicate historical data |
enum_check_list | ["天使轮", "Pre-A轮", "A轮", "B轮", "战略投资"] | Covers common financing rounds in the telecom service sector, validates invalid round descriptions |
output_format | csv | Structured financing data is suitable for CSV storage, facilitating subsequent processing and import |
The parameter values provided on this page are conventional recommendations used as 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 Misconfigurations
- Phenomenon: Workflows return normal results in local preview, but return empty data or throw errors after publishing to the unauthenticated access window. Cause: The scheduled trigger after publishing is not configured with correct access permissions for data sources, or the custom field mapping rules from the preview phase are not synchronized.
- Phenomenon: Loop bodies fail to terminate per specified conditions, continuing execution beyond expected times. Cause: The matching logic for the
loop_break_conditionparameter is not configured correctly, or the correct judgment field is not specified. - Phenomenon: The
qparameter passed when calling a tool does not include the precise name of the financing subject, resulting in irrelevant tool returns. Cause: No field extraction node is configured in the workflow to accurately map the subject name from raw data to the parameters for tool calls.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check the field extraction results in the run log to confirm that core fields such as financing subject and amount have been correctly mapped.
- Check the scheduled trigger configuration to confirm that the execution time of
trigger_cronmatches the data update rhythm. - Test the loop body termination condition by passing test data containing specified rounds, confirm that the loop exits normally when conditions are met.
- Call the tool node, pass a simulated financing subject name, confirm that the
qparameter has correctly passed the value of the target field.
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.