What the data for this category looks like
Railway and highway financial report data primarily comes from publicly disclosed periodic reports of national railway groups, local transportation authorities, and listed entities. This data forms one of the core data sources for financial investment research and analysis. Update cycles follow quarterly and annual core periods, with some segmented operational data updated monthly. Document structures include core operational indicators, revenue and cost details, cash flow statements, and compliance explanations. Common fields include converted turnover volume, toll revenue, passenger and cargo volume, and similar metrics. Units are respectively hundred million ton-kilometers, ten thousand yuan, passenger trips/ten thousand tons, and comparable units. A single annual financial report document can span dozens of pages, containing large numbers of structured tables and unstructured explanatory text.
What constraints these characteristics impose on workflow orchestration
The multi-source and dispersed nature of railway and highway financial report data requires configuring multiple data source invocation nodes in workflows for financial investment research scenarios. These nodes connect separately to official disclosure channels and internal enterprise reports. Differences in update cycles across data dimensions require setting timed trigger interval parameters. This setup distinguishes full quarterly updates and incremental monthly updates to meet the cycle requirements of investment research analysis. Long documents with structured tables and hierarchical headings require the workflow’s document parsing node to adapt to table extraction logic. This avoids content truncation caused by relying solely on heading separators. The presence of multiple unit types in fields requires configuring unit standardization rules in the data cleaning node. This ensures field consistency for subsequent analysis and meets the accuracy demands of financial investment research.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single annual railway and highway financial reports have long lengths. Conventional parsing time exceeds 300 seconds. 600 seconds covers the full parsing process |
UPLOAD_FILE_MAX_SIZE | 1000 MB | A single annual financial report includes multiple pages of attachments and detailed tables. 1000 MB accommodates multiple batches of uploaded financial report files |
maxContext | 800–1200 characters | Cell content in structured tables within financial reports is lengthy. This range retains complete table field information and avoids content truncation during analysis |
Recall count | Top 8 entries | Financial report analysis covers multiple core modules such as operations, revenue, and costs. 8 recall entries cover the main analysis dimensions |
DB_CONN_TIMEOUT | 30 seconds | Multiple data source connections require waiting for responses from official disclosure interfaces. 30 seconds prevents process interruption due to timeout |
Chunk size | 1500 characters | Long paragraphs of compliance explanations exist in financial reports. 1500 characters retains paragraph integrity and avoids semantic damage caused by splitting |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Using a general heading separator when configuring
Chunk sizecauses structured tables in financial reports to be split. This issue occurs because table content in railway and highway financial reports has no hierarchical headings. Relying solely on symbols such as #, ## cannot accurately identify table boundaries. - The link generated after workflow publishing points to a local address. This occurs because the public network domain name parameter for the deployment environment is not configured. The locally started service address is used by default.
- The workflow stops after invoking the database connection node. This happens because the timeout parameter for database access is not configured, or the database connection string format is incorrect. This causes the node to time out without a response.
How to confirm the configuration is complete
- Upload a standard annual railway and highway financial report. Check if the output of the document parsing node includes complete table fields and hierarchical content. Adjust related parameters to cover all content.
- Configure multiple data source trigger nodes. Test the invocation response of official disclosure channels and internal reports separately. Confirm that the timed trigger interval matches the data update cycle.
- Run the workflow including the database connection node. Check if the node execution log shows timeout or connection errors. Adjust database connection parameters and timeout thresholds to allow normal workflow execution.
- Publish the workflow and access the generated link. Confirm that the link points to the public network deployment address, not the local service address.
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.