Workflow Orchestration for General Comprehensive Intelligent

What the Data for This Category Looks Like

The data for general comprehensive intelligent due diligence reports primarily comes from industrial and commercial public disclosure systems, publicly available documents from industry associations, disclosure documents from regulatory authorities, and structured ledgers provided by partners. Update cadences vary by data source type. Regulatory disclosure data is updated on a fixed cycle. Industrial and commercial information is synced in real time. Partner ledgers are submitted on demand.

Document structures include main basic information pages, related party list pages, compliance record pages, risk reminder pages, and attachment list pages. Fields include unified social credit code, establishment date, related party transaction amount, risk level, and others. Amount units include ten thousand yuan and yuan. Risk levels use alphabetical grading.

How These Data Characteristics Impact Workflow Orchestration

Dispersed data sources and inconsistent update rhythms require workflows to support parallel pulling of data from multiple sources. They also require configuring incremental sync trigger logic to avoid repeated full data pulls. Inconsistent document structures require configuring dynamic field mapping rules to adapt to differences in field names across reports from different sources. Diverse field units require adding a unit standardization processing node to unify output formats for fields such as amounts and risk levels. A high proportion of long-text attachments requires adjusting parsing timeout parameters to prevent workflow interruptions caused by single-node runtime timeouts.

Configuration Recommendations

Configuration Item	Recommended Setting	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	1200 seconds	General comprehensive due diligence reports often include multiple pages of compliance attachments, resulting in long single-file parsing times
`workflow_parallel_limit`	First 3 parallel nodes	Multiple data source pulling nodes need concurrency control to avoid triggering third-party interface rate limits
`variable_mapping_mode`	Dynamic matching	Field names of due diligence reports from different sources vary, and dynamic matching reduces repeated configuration work
`unit_conversion_enabled`	Enabled	Transaction amounts in reports use both ten thousand yuan and yuan units, requiring unified standardized output
`incremental_sync_interval`	86400 seconds	Regulatory disclosure data is updated daily, and incremental sync reduces resource overhead from repeated pulls
`workflow_node_retry_count`	2 retries	Third-party data source interfaces may experience occasional fluctuations, and retries reduce the probability of workflow failure

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

Phenomenon: Workflows published via API calls have no interactive prompts when triggering user selection or form input nodes. Cause: enable_interactive is not configured as true in API request parameters, or the parameter delivery format does not comply with interface specifications.
Phenomenon: Importing workflow configurations from version v4.6.7 to version v4.8.10 returns the invalid_workflow_version error code. Cause: There are differences in node parameter structures between workflow versions, and the official version adaptation tool was not used for conversion.
Phenomenon: After configuring the knowledge_base_id variable to bind to a knowledge base node, the workflow returns a variable_not_found error after running. Cause: The variable was not pre-created in the workflow global variable panel, or the variable scope does not cover the current node.

How to Verify Successful Configuration

Trigger a full workflow run, and check if the fields pulled from each data source in the node logs match the preset business rules.
Submit test data with different units, and confirm that the workflow automatically completes unit standardization conversion, and the output field formats meet expectations.
Call the API interface to send a test request, and verify that after the interactive parameters take effect, the front end can normally pop up the user selection or form input interface.
Import old version workflow configurations, and confirm that no invalid_workflow_version error is returned, and node parameters can load normally.

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.