What the data for this category looks like
The yield rate data for infrastructure construction projects comes primarily from three sources: project monthly measurement and payment ledgers, engineering valuation indices released by third-party cost consulting institutions, and monthly financial statements from project companies. Data updates follow a daily schedule: the calculated yield rate corresponding to that day’s completed output value is synchronized each day. Valuation data for projects in remote areas or of niche types may have a 1 to 2 day delay. Most data is provided in structured CSV or JSON formats, with fields including project unique identifier, project name, administrative region, current period completed output value, current period internal rate of return, cumulative internal rate of return, and valuation benchmark date. The unit for output value is ten thousand yuan, and the unit for yield rates is percentage.
What constraints these characteristics impose on workflow orchestration
Multiple heterogeneous data sources require configuring multiple parallel pull nodes in the workflow. These nodes connect separately to the cost consulting institution API, project measurement ledger system, and financial statement interface, to avoid timeout issues from single-node pulls. The 1 to 2 day data delay requires adding timeout retry and delay validation nodes to the workflow. These nodes wait for delayed data synchronization to complete before running subsequent calculations. Structured fields may contain non-standardized yield rate values. A numerical range validation node must be configured to filter abnormal data outside the industry’s reasonable range. Project scale varies widely, leading to significant fluctuations in single-pull data volume. Pagination pull parameters and dynamic sharding nodes must be configured to adapt to datasets of different sizes.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
workflow_trigger_cron | 0 8 * * * | Matches the daily reporting requirement for infrastructure construction project yield rate reports, triggering the workflow after most project data updates are complete |
multi_data_pull_timeout | 300 seconds | Adapts to the delayed nature of multi-source data pulls, preventing workflow interruption from timeout during cross-interface data retrieval |
irr_value_valid_range | 0%–20% | Aligns with the industry reasonable range for infrastructure construction project investment yield rates, filtering abnormal numerical data |
pull_page_size | 50–100 entries | Adapts to the upper limit of single-pull data volume, preventing workflow failure from interface overload |
null_field_fill_strategy | Average yield rate of projects in the same region and of the same type | Fills missing yield rate fields with the average value of projects in the same region and type, ensuring complete reporting content |
workflow_retry_max_times | 2 times | Addresses pull failures caused by temporary interface fluctuations, improving workflow stability |
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, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The workflow shows as completed immediately after reaching the data pull node, without triggering subsequent calculation and reporting nodes. The frontend displays the workflow status as finished, but no complete daily report content is generated. This occurs because no retry mechanism is configured for multi-source data pulls. If an interface for one data source times out temporarily, the workflow terminates directly without triggering a retry.
- After the workflow is published, sending a trigger command via a bot results in no response, and the workflow cannot be invoked for execution. This occurs because the external trigger permission for the workflow is not enabled, or the correct callback address is not configured, preventing external trigger requests from being received by the workflow.
- The reporting content contains a large number of null value fields, such as missing yield rate values for some projects. This occurs because no null field fill strategy is configured, and original data with missing fields is used directly for reporting, leading to incomplete content.
How to confirm the configuration is complete
- Manually trigger a workflow run, and review the platform’s workflow execution logs to confirm all data pull nodes have completed synchronization, with no timeout or failure records.
- Import test data containing abnormal yield rate values, and verify that the workflow automatically intercepts values outside the reasonable range, confirming the validation rule is active.
- Trigger test data with missing yield rate fields, and inspect the generated reporting content to confirm missing fields have been filled according to the configured strategy.
- Call the workflow’s external trigger API, and confirm the workflow can start normally and complete the full link execution, with no mid-run termination.
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.