What data for this category looks like
Gas intelligent due diligence report data mainly comes from gas operation enterprises' pipeline GIS systems, monthly operation ledgers, user gas supply contracts, annual safety inspection reports, and gas appliance testing documents. Update rhythms vary across sources. Pipeline basic parameters are updated annually, operation ledgers are updated monthly, and safety inspection and testing reports are updated per their execution cycles. Documents include both structured tables and unstructured technical descriptions. Structured fields include gas supply pressure, pipeline burial depth, testing pass rate, and other items, with units uniformly formatted as kPa, m, and percentage. Unstructured paragraphs are mostly technical descriptions of pipeline hidden danger inspections.
What constraints these characteristics impose on workflow orchestration
Data sources for gas due diligence reports are scattered and have inconsistent update rhythms. Workflows must support multi-node HTTP calls to different system interfaces, and adapt to mixed-format document parsing. Unstructured paragraph technical descriptions are compact, requiring higher keyword matching accuracy for text extraction. Fields have fixed built-in units. Workflows must retain unit formats to ensure accuracy of due diligence data. Different data sources have varying call frequency limits. Reasonable intervals must be set for cyclic calls to avoid triggering rate limits. Due diligence data has high compliance requirements. Workflows must include parameter verification steps to ensure extracted fields comply with gas industry technical specifications.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Gas due diligence reports are mostly 10-20 page technical documents. Default parsing duration is insufficient for complete parsing |
Text Extraction Chunk size | 800–1200 characters | Technical parameter paragraphs in gas reports are mostly compact professional descriptions. Excessively long segments lead to extraction deviations, while excessively short segments increase the number of workflow nodes |
HTTP Request Retry Count | 3 times | Internal interfaces of gas operation enterprises have temporary rate limit mechanisms. Retries reduce the probability of single call failure |
Global Variable Context Retention Count | The first 4 entries | The due diligence process only needs to retain core outputs from previous contract queries and pipeline inspections. Redundant records interfere with judgment logic of subsequent nodes |
Loop Call Interval | 15 seconds | The standard call frequency limit for gas pipeline data interfaces is 4 times per minute. This interval avoids triggering rate limits |
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. It is recommended to test on your own samples before finalizing.
Three common errors
- The symptom is that the text content extraction component outputs empty JSON, and the interface displays "Extraction result is empty". The cause is that keyword matching rules for technical parameter paragraphs in gas reports are not configured, so the component cannot locate target fields.
- The symptom is that the output of the specified reply component is not included in the workflow global variable history. The cause is that the "Save output to global variable" switch for the component is not enabled, or the configured variable name has a spelling error.
- The symptom is a 429 status code returned when cyclic calling HTTP interfaces. The cause is that the cyclic interval is set too short, exceeding the call frequency limit of the gas company's data interfaces.
How to confirm correct configuration
- Upload a standard gas due diligence report, run the workflow, and verify the text extraction component’s output includes preset pipeline parameter fields and retains corresponding unit formats.
- Review the global variable panel to confirm the specified reply component’s output is saved to the corresponding variable, and that the component’s execution result is included in the history record.
- Simulate multiple cyclic calls, check for triggered rate limit error messages, and confirm the interval setting complies with the interface’s call frequency requirements.
- Run a test case with a long document of more than 20 pages, confirm the text extraction component does not terminate execution due to timeout, and that complete extraction results are output.
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.