What Data for This Category Looks Like
Paint and ink are a segmented basic chemical category. Relevant yield rate data comes from domestic bulk commodity spot trading platforms, public monitoring documents from basic chemical industry associations, and price announcements from upstream raw material suppliers. Spot price data updates daily. Industry revenue calculation data updates weekly. Most public documents are structured CSV or Excel files, containing fields including product category, sub-model, raw material procurement cost, ex-factory settlement price, regional distribution guide price, supply chain turnover cycle, and batch number. Field units are mostly yuan/kg, yuan/ton, calendar days, and batch number. There is no standardized unified percentage identifier.
Constraints Imposed on Form and Interaction by These Characteristics
Multi-source heterogeneous data sources require forms to support batch import of multiple files and custom field mapping, to avoid data misalignment caused by differing field naming across data sources. Data sources with different update frequencies require split form modules, with separate sync cycle configurations, to prevent high-frequency spot data from overwriting low-frequency industry revenue calculation results. Sub-model and multi-dimensional cost fields require forms to support dynamic field expansion, to adapt to filling requirements for different product lines. High-precision calculation requirements for numeric fields require enabling numeric validation rules for forms, to restrict non-numeric input and invalid precision values. Time fields for supply chain turnover cycles need to match standard date formats, to avoid calculation errors caused by incorrect time formats in subsequent steps.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Public monitoring documents for the paint and ink industry are mostly structured tables sized 10-50 MB; 300 seconds is sufficient for parsing and field extraction |
UPLOAD_FILE_MAX_SIZE | 50 MB | The typical size of industry public monitoring documents does not exceed this threshold, to prevent upload failures |
custom_field_mapping | Enable field alias matching | Field naming varies across different data sources; for example, "ex-factory price" and "settlement price" must be uniformly mapped to target fields |
data_sync_interval | Dual configuration of once daily and once weekly | Spot price data updates daily, while industry revenue calculation data updates weekly, to adapt to the update rhythms of both data types |
form_field_validation_rule | Configure numeric precision validation | Cost and price calculations for basic chemical products require high precision, to meet data analysis needs for the paint and ink category |
dynamic_field_enable | Enabled | Multiple sub-models exist in paint and ink products, requiring field addition on demand to adapt to different filling scenarios |
The parameter values provided on this page are general recommendations for initial configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test on local samples before finalizing settings.
Three Common Misconfigurations
- Submitting a form and encountering the error "input is empty" when debugging global variables in downstream nodes. The cause is that no mapping relationship was configured between form fields and global variables, leading to field values not being correctly passed to variables.
- Selecting the
qwen-plusmodel and enabling the output thinking switch, but the returned result does not include the thinking process. The cause is that the system prompt does not explicitly require outputting thinking content, or the thinking generation switch was not enabled in the model configuration. - The extracted question-answer pair order does not match the splitting order of the input content. The cause is that QA guide words were not configured after the content splitting step, so the guide words only apply to the original input, not the split fragments.
How to Verify Successful Configuration
- Upload a test paint and ink industry data document, and verify that the parsed fields match the custom mapping rules.
- Trigger a data synchronization task, and check that the synchronization logs include update records for the corresponding data source with no abnormal errors.
- Submit a form entry containing sub-models and multi-dimensional numeric values, and confirm that downstream nodes can correctly receive the field values.
- Enable the form validation function, input non-numeric content, and check that the corresponding error prompt is triggered.
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.