What the Data for This Category Looks Like
Data for the plastics and rubber category comes primarily from bulk commodity spot trading platforms, industry association survey ledgers, and production enterprise ERP systems. Basic raw material quotation data updates daily. Downstream production capacity and product specification data updates quarterly. Trader inventory data updates weekly. Most documents are structured tables containing fields including product name, grade, density, tensile strength, ex-factory price, and inventory surplus. Units include kilograms, megapascals, yuan/ton, cubic meters, and others. Individual documents typically have 50 to 200 rows. Some supporting process parameter documents include test condition descriptions.
Constraints Imposed on Forms and Interactions
The data characteristics of the plastics and rubber category create multiple constraints for forms and interactions. Data sources with varying update frequencies require forms to support selecting update ranges based on data type, to avoid pulling expired information. Configurations for multiple fields and diverse units require forms to have preset unit matching components, to automatically adapt to field units and reduce manual input errors. The need to upload batch structured documents requires forms to support batch import field mapping rules, to automatically match uploaded document headers with form fields. The wide variety of grades within the category requires form selection components to support hierarchical classification and fuzzy search, to quickly locate target grades. Forms used in marketing scenarios must also support linked fields, automatically popping up selection items for corresponding specifications based on downstream application details entered in the form.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 2000 MB | Bulk inventory reports and process parameter documents for plastics and rubber typically range from 500 to 1500 MB per file, so this setting reserves reasonable upload space |
speech_recognition_model | SenseVoiceSmall | Compatible with the built-in speech recognition model in SaaS version 4.9, supports colloquial Chinese transcription, and matches customer voice consultation needs in marketing scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Parsing batch structured documents takes a long time; 600 seconds covers the parsing process for most large-scale reports, avoiding timeout interruptions |
form_field_auto_match | Enabled | Plastics and rubber documents have many fields and mixed units; automatic matching reduces manual mapping workload and improves form configuration efficiency |
tool_call_recall_count | Top 5 | Marketing scenarios require fast matching of customer needs; limiting the number of recalled entries reduces interaction latency and improves form response speed |
form_field_unit_auto_convert | Enabled | Plastics and rubber fields use multiple units; automatic conversion avoids unit input errors and improves form data accuracy |
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 individual analysis. Testing on local samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Issue: After configuring the speech recognition component for the form, the drop-down list does not display the
SenseVoiceSmallmodel option, preventing successful configuration. Cause: The visibility permission for the speech recognition model was not enabled in system settings, or the current version does not include this built-in model. - Issue: After uploading a structured plastics and rubber report, the associated marketing chart plugin returns
nonewith no valid output. Cause: ThePARSE_FILE_TIMEOUT_SECONDSparameter was not configured correctly, chart generation was triggered before document parsing completed, or field mapping rules did not align, preventing the plugin from reading valid data. - Issue: After submitting the form, the file upload field shows as empty, and no corresponding upload record appears in the backend. Cause: The uploaded file size exceeded the configured threshold, or network fluctuations caused an upload interruption that did not trigger automatic retries.
How to Verify Successful Configuration
- Access the form configuration interface, check the speech recognition model drop-down list, confirm whether the target model exists, and verify the model permission configuration in system settings.
- Upload a standard structured plastics and rubber document, test the file upload function, and check whether valid field mapping records are generated in the backend parsing logs.
- After configuring the tool call parameters, submit a test form, check whether the interaction response time meets expected standards, and confirm that the field unit automatic conversion function is active.
- Upload a test file exceeding the conventional size, verify whether the upload interception or success prompt matches the configured threshold rules.
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.