What Data for This Category Looks Like
Credit report data primarily comes from the People's Bank of China Credit Reference Center, local credit reference operators, and partner credit reference service providers. Updates follow a fixed scheduled sync cycle. Each single report document includes four main sections: identity verification area, credit transaction details module, public information record area, and query history list.
Fields include personal/enterprise identification fields, credit balance (unit: yuan), number of overdue periods (unit: times), query time (format: YYYY-MM-DD HH:MM), and others. Some fields have nested levels. For example, credit transaction details include multiple loan entries. Total document length varies based on the number of credit records covered in the report.
Constraints Imposed by These Characteristics on Workflow Orchestration
Multi-source access, nested field structures, and fixed format requirements for credit reports impose three main types of constraints on workflow orchestration. First, multi-source adaptation nodes must be configured to accommodate output format differences across data sources such as the People's Bank of China Credit Reference Center and local credit reference platforms. Second, due to multi-level nested fields, tiered extraction rules must be set to accurately locate core risk control fields such as credit balance and overdue records. Third, the fixed update cycle requires workflows to be bound to scheduled trigger rules. Reports must be pulled and processed in batches according to the sync rhythm, and long document split nodes must be configured to avoid timeout from single nodes processing oversized files. Additionally, unit and format constraints for fields require embedded format validation steps in the workflow. This filters abnormal non-compliant data and ensures the accuracy of subsequent risk control logic.
How to Configure Settings
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Credit report files often contain multiple pages of credit details, which require longer parsing time. This range adapts to long document parsing needs |
WORKFLOW_NODE_CONCURRENCY | 20–50 concurrent | For single-node hardware configured as 4c16g, this concurrency range avoids resource exhaustion and aligns with common community test results |
JSON_PARSE_STRICT_MODE | Enabled | Credit report field formats are fixed. Strict mode filters nested JSON fields with abnormal formats and improves data accuracy |
WORKFLOW_API_AUTH_TYPE | API_KEY authentication | When accessing workflows via API, API_KEY authentication ensures access security for credit approval processes and meets permission requirements for risk control scenarios |
INPUT_JSON_SCHEMA_VALIDATION | Enabled | The JSON input field requires input format validation to match the field structure parsed from credit reports and prevent invalid data from entering the workflow |
FILE_UPLOAD_MAX_SIZE | 10–20 MB | Single credit report scans or electronic files usually do not exceed 20 MB. This range covers standard report sizes while avoiding excessive storage resource usage |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: OOM errors or service unresponsiveness occur when running the workflow on a single node, with a 503 status code returned. Cause: The
WORKFLOW_NODE_CONCURRENCYparameter is not adjusted based on hardware configuration, and excessive concurrency settings lead to resource exhaustion. - Phenomenon: Workflows published via API calls return 401 or 403 errors, and credit report data cannot be pulled normally. Cause: The authentication parameter for
WORKFLOW_API_AUTH_TYPEis not configured, or the authentication key is not correctly bound to the workflow publishing channel. - Phenomenon: Parsed credit report field variables cannot be selected in the JSON input field, and empty field errors occur during workflow operation. Cause:
INPUT_JSON_SCHEMA_VALIDATIONis not enabled, and the variable structure is not mapped and bound to credit report fields, so the input field cannot recognize optional variables.
How to Verify Successful Configuration
- Run a single test credit report, verify that parsed fields match the original report, and confirm that configured parsing timeout and file size thresholds cover the actual size of the test file.
- Simulate multiple concurrent requests, observe node resource usage, and confirm that the concurrency configuration matches the load capacity of the current hardware.
- Call the API to access the workflow, verify that authentication parameters take effect, and confirm that the returned results include expected credit report processing fields.
- Configure variable mapping for the JSON input field, attempt to select preset credit report fields, and confirm that the input field can normally load the optional variable list.
- Access shared workflow discussion groups in official community channels to obtain configuration references for similar scenarios.
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.