What data for this category looks like
Iron ore-related financial report data mainly comes from periodic announcements of publicly traded steel enterprises at home and abroad, monthly monitoring reports from industry associations, and port clearance data. Update schedules include mandatory quarterly and annual corporate financial report disclosures, as well as weekly and monthly industry market data updates. Document structures mostly combine structured tables and text analysis, including fields such as raw ore output, import volume, port inventory, spot price, and processing cost. Common units include tons, thousand tons, yuan/ton, USD/dry ton, and some overseas reports additionally include RMB-denominated data converted using exchange rates.
What constraints do these characteristics impose on workflow orchestration
Data sources for the iron ore category are scattered and have large format differences. This requires workflows to be configured with multi-source data adaptation nodes to handle structured parsing of enterprise announcement PDFs and format conversion for CSV and JSON industry reports. Differences in update schedules for different data require splitting the execution cycles of timed trigger nodes: set the corporate financial report trigger cycle to quarterly, and the industry market data trigger cycle to monthly. Inconsistent field units require adding a unified unit conversion step in the workflow to avoid calculation deviations in subsequent analysis. Fixed disclosure windows for financial reports require configuring trigger times to avoid peak disclosure periods, preventing interface calls from triggering rate limiting rules.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Iron ore financial report PDFs contain multi-page structured tables, requiring longer parsing time. 300 seconds covers most complete parsing requirements |
external_function_call_timeout | 120 seconds | Iron ore data cleaning involves multi-dimensional unit conversion and format verification, requiring sufficient execution duration |
form_node_display_mode | embedded | When the workflow is used as a nested subflow, hiding pop-ups avoids interrupting the main workflow execution chain |
rag_retrieve_top_k | Top 8 entries | Iron ore financial reports have many associated fields, requiring sufficient context recall to support analysis while avoiding interference from redundant information |
file_upload_max_size | 500 MB | Large industry monitoring report PDFs have larger file sizes. Relaxing the upload limit allows complete access to data sources |
workflow_parallel_limit | 5 | Controlling concurrency during multi-source collection of iron ore data prevents triggering rate limiting policies from third-party data sources |
The parameter values provided on this page are common recommended starting points 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
- Form input nodes still pop up independent dialog boxes in workflows used as nested subflows. Failing to set
form_node_display_modetoembedded, the default pop-up mode will still trigger pop-up display in nested scenarios. 504 Gateway Timeouterrors occur when calling custom Python functions. Failing to adjust the value ofexternal_function_call_timeout, the default timeout duration is insufficient for the complex calculation process of iron ore data cleaning.- Workflow execution time exceeds expectations when processing iron ore financial report data in batches. Failing to set a reasonable
workflow_parallel_limit, excessive concurrency triggers third-party data source rate limiting, causing some requests to queue for waiting.
How to confirm correct configuration
- Upload a single iron ore financial report test file, verify the correspondence between parsed output fields and the original document, and confirm that the unit conversion step is effective.
- Trigger workflow execution, check the running logs of custom functions, and confirm that the execution duration does not exceed the configured timeout threshold.
- Nest the current workflow into a test main workflow, trigger the main workflow execution, and confirm that the form node does not pop up an independent dialog box.
- Submit multiple sets of parallel data source collection requests, check for rate limiting-related error messages, and confirm that the concurrency configuration is reasonable.
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.