What Data for This Category Looks Like
Special steel-related data primarily comes from production ledgers, offline quality inspection reports, custom customer orders, and inventory transfer systems. Data updates follow production batches or daily inventory counts, with single-batch data updated immediately upon production completion. Most documents are structured Excel or CSV tables, containing fields such as steel grade, cross-sectional specification, yield strength, tensile strength, delivery condition, packaging method, and pricing unit. Field units include professional industrial units such as MPa, mm, ton, and yuan/ton.
Constraints on Forms and Interactions
Special steel data mostly consists of structured tables with multi-dimensional professional fields, requiring forms to support parsing by column names and retention of original units. Data is updated per production batch, and single-batch file sizes fluctuate, requiring upload components to support large file uploads and stable parsing. Marketing scenarios require matching precise needs for specific steel grades and specifications, requiring the interaction link to support filtering data by specified fields. Some customers submit custom quality inspection reports, requiring forms to support custom field mapping rules.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Single files for special steel production ledgers and quality inspection reports typically do not exceed 200 MB, with reasonable buffer space reserved |
PARSE_FILE_TIMEOUT_SECONDS | 120 seconds | Structured tables with multiple fields require traversing multiple columns of data, to avoid interruptions due to excessively long parsing times |
maxContext | 8000–12000 characters | Single-batch special steel data contains dozens of fields with large character volume, requiring adaptation to long context input requirements |
Number of recalled entries | Top 6 entries | Marketing content needs to match precise requirements for specific steel grades and specifications, prioritizing returning top-level matching results |
Form field mapping rules | Auto-match by column name | Special steel data field naming has a high degree of standardization, and automatic mapping can reduce manual configuration costs |
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, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: Uploaded special steel structured data is not included in large model statistical summaries. Cause: The
UPLOAD_FILE_PARSE_ENABLEconfiguration item is not enabled, or the uploaded file is not bound to the conversation context. - Symptom: Uploaded JSON-format quality inspection reports trigger errors due to exceeding character limits. Cause: The
maxContextparameter is not adjusted to a range adapted to the character volume of a single file, and the default parameter cannot cover long text input. - Symptom: After the published form page is scaled down and then enlarged, form content fails to display normally. Cause: Responsive layout configuration is not enabled, or form components are not wrapped in adaptive containers.
How to Verify Proper Configuration
- Upload a single 200 MB structured table file, check that the parsing progress bar completes without error prompts.
- Upload JSON-format special steel quality inspection data, check whether the conversation context contains the parsed field content.
- Adjust the zoom ratio of the published page, check whether form fields and upload components display normally with scaling.
- Call the model interface, verify whether the uploaded special steel data is included in the input range of statistical summaries.
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.