What the Data for This Category Looks Like
Plastics and rubber financing daily report data is sourced from the commodity warehouse receipt registration system, corporate corporate financing ledgers of commercial banks, and commodity industry spot monitoring platforms. Data is updated by trading day, with no new entries on non-trading days. The documents are in structured table format, including the following fields: variety name, warehouse receipt quantity (unit: ton), pledged financing amount (unit: ten thousand yuan), financing subject, warehouse receipt registration date, financing maturity date, location of the warehouse where warehouse receipts are stored. Each entry corresponds to a single batch of plastic or rubber warehouse receipt financing record, with no nested subfields.
What Constraints Do These Characteristics Impose on the "Workflow Orchestration" Link
Since the data for this category updates by trading day and has no data on non-trading days, workflow configuration must be set to trigger only on trading days to avoid running nodes with empty data. The fixed structured field characteristics require that workflow field mapping nodes strictly match preset field names, and fuzzy matching logic should not be used. The fixed units for warehouse receipt quantity and financing amount are ton and ten thousand yuan, so numerical verification nodes must limit unit verification rules to avoid abnormal data mixed with other units. Duplicate entries may exist across multiple data sources, so the workflow must add a data deduplication step, matching and deduplicating based on warehouse receipt registration date and variety name.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
triggerSchedule | Trading Day 08:30 Execute Once | Plastics and rubber financing daily reports are released early on trading days, a single trigger covers all daily data |
strictFieldMapping | Enabled | The data fields for this category are fixed and non-nested, strict matching avoids field mapping misalignment |
allowedNumberUnits | ["ton", "ten thousand yuan"] | The standard units for warehouse receipt quantity and pledged financing amount are ton and ten thousand yuan, which can filter abnormal unit data |
deduplicateKeys | ["variety name", "warehouse receipt registration date"] | Warehouse receipt financing records for the same variety and same registration date are duplicate entries, deduplicate based on this combination |
maxContextWindow | 1 | Limit retention to only the latest 1 chat context, avoiding interference from old historical records on current workflow execution |
apiFileUploadSupport | Enabled | Support uploading PDF-format financing ledger scans via API for subsequent OCR parsing node processing |
The parameter values provided on this page are common 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 settings.
Three Common Mistakes
- Phenomenon: PDF files uploaded when calling the workflow via API are not parsed, and no file parsing fields are included in the returned results. Cause: The
apiFileUploadSupportconfiguration item is not enabled, and the workflow does not receive uploaded file data. - Phenomenon: The workflow is associated with more than one historical chat record, which does not match the configuration where
maxContextWindowis set to 1. Cause: ThemaxContextWindowparameter is not configured synchronously in the workflow's context node, or the global context setting conflicts with the workflow node setting. - Phenomenon: The workflow stops after reaching the data verification node, with no error logs. Cause: The
allowedNumberUnitsconfiguration does not include the units in the actual data, causing the numerical verification to fail and no exception alert is enabled, so the workflow terminates silently.
How to Confirm the Configuration is Correct
- Trigger the workflow once, check if all configured field mapping records are included in the logs, confirm that there are no field mapping misalignments.
- Import a test data entry containing non-standard units, verify whether the numerical verification node intercepts the data and generates a corresponding alert record.
- Call the API to upload a test financing ledger PDF file, confirm whether parsed structured data entries are generated in the workflow nodes.
- Check the scheduled trigger logs, confirm that execution records are only generated on trading days, and no trigger actions occur on non-trading days.
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.