What the data for this category looks like
The data for railway and highway intelligent due diligence reports mainly comes from publicly available infrastructure archives, line operation and maintenance logs, annual operation statistical reports, and project approval documents issued by transportation authorities. Data update cycles fall into two categories: basic line parameters are updated quarterly, while operation and maintenance data is updated monthly. A complete due diligence report document usually includes four modules: basic line information, cost details, operation indicators, and maintenance records. Fields include main line mileage, annual freight turnover, maintenance cycle, and others, with corresponding units of kilometer, million ton-kilometers, and month respectively.
What constraints do these characteristics impose on workflow orchestration
Multi-source and heterogeneous data sources require the workflow to be configured with multiple nodes pulling different types of data sources in parallel, to avoid single-node request overload. Data with different update cycles needs to be matched with corresponding scheduled trigger rules, and incremental synchronization configuration must distinguish the update cycles of basic line parameters and operation data. The ultra-long document structure requires the workflow to support segment parsing and context splicing, to avoid exceeding the content processing limit of a single node. Fields with specific units require the workflow to embed format verification nodes to ensure unit consistency during data import.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600-900 seconds | A single railway and highway due diligence report contains multi-module content, and the parsing time is longer than that of general documents, so the timeout threshold needs to be extended |
maxChunkSize | 800-1200 characters | The railway and highway field contains a large number of professional terms. This chunk length can retain the integrity of terms while reducing the complexity of context splicing |
workflow_trigger_interval | 86400 seconds | Operation data is updated monthly, and triggering daily can ensure that incremental synchronization covers the latest operation and maintenance records |
variable_update_mode | Incremental update based on node execution results | It is necessary to count the number of calls for classifications such as line level and region, and the incremental mode can retain historical count data |
global_variable_sync_strategy | Synchronize each time the workflow starts | Global variables need to match the latest railway line classification table to avoid using expired classification data |
rag_retrieve_top_k | Top 8-12 entries | After sorting by relevance for professional documents of railway and highway due diligence reports, the top 10 entries can cover core due diligence information |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes to avoid
- Phenomenon: After the variable update node is executed, the classified statistical fields are not accumulated or display empty. Cause: The
variable_update_modeis not set to incremental update mode. The default overwrite mode will clear historical count data. - Phenomenon: Workflow execution times out, returning the
504 Gateway Timeoutstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted. The default timeout duration is insufficient for parsing a single railway and highway infrastructure document with more than 50 pages. - Phenomenon: The generated due diligence report has inconsistent units, such as replacing "kilometer" with non-standard expressions. Cause: No field format verification node is configured, and no constraints are imposed on fields with specific units such as main line mileage and annual freight turnover.
How to confirm the configuration is correct
- Manually trigger the workflow once, check the classified statistical field values in the variable panel, and confirm whether the values accumulate with the number of executions.
- Upload a standard railway and highway due diligence report, check the parsed chunk content, and confirm that the chunk length meets the preset range.
- Check the global variable panel, and confirm that the latest line classification table has been synchronized to the workflow.
- View the workflow logs, and confirm that there are no timeout errors or field format abnormality prompts.
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.