What the Data for This Category Looks Like
Data sources for glass intelligent due diligence reports include factory quality inspection documents from architectural glass manufacturers, public test reports from third-party building material testing agencies, and batch delivery data from upstream supply chains. There is no fixed update frequency. Single-batch glass data updates alongside factory shipments. Bulk project data updates alongside on-site delivery cycles. Document structures include batch identifiers, physical dimension parameters, mechanical performance parameters, and production identification information. Fields include batch number, thickness, light transmittance, bending strength, manufacturer, and production date. Corresponding units are: none, millimeters, percent, megapascals, none, and year-month-day.
Constraints Imposed by These Characteristics on HTTP Interfaces and External Systems
Data sources include multi-format structured documents. Interfaces must support uploading and parsing bulk data formats such as CSV and Excel. There is no fixed update frequency. Interfaces must support on-demand data pulling instead of forced scheduled synchronization, to avoid invalid requests consuming resources. Fields include physical parameters and identification information. Field names and data types must be strictly matched, otherwise parameter validation errors will be triggered. When bulk data volume is large, adjust the request body size limit for the interface, otherwise a 413 error will be triggered. Some detection data field names have industry-specific variations. Custom field mapping configuration must be supported, to avoid format exceptions caused by incorrect URI parameter concatenation.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 1000 MB | The single-file size of glass bulk quality inspection reports typically ranges in the hundreds of MB, adjusting this configuration prevents 413 errors |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Parsing large glass bulk data requires significant time, reserving sufficient duration avoids mid-process timeout interruptions |
HTTP_REQUEST_TIMEOUT | 120 seconds | External system interfaces pulling glass detection data typically take tens of seconds to respond, reserving buffer space |
CUSTOM_FIELD_MAPPING | Follow glass industry general field mappings | Match exclusive field names for glass detection data such as batch number and bending strength, reducing parameter mismatch issues |
BATCH_REQUEST_MAX_COUNT | 50 items per request | Control the data volume per batch request to avoid parameter validation limits triggering 400 errors |
STREAM_HTTP_ENABLE | Enabled | Supports MCP streamable HTTP streaming transmission, improving transfer efficiency for large-volume detection reports |
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. Each scenario requires specific analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Mistakes
- A 400 error is returned when calling the interface, and logs show missing request body parameters or type mismatch. The cause is that custom field mapping was not configured, the general field template was used directly, and the exclusive field names for glass detection data were not matched.
- A URIError: URI malformed error is returned when accessing the external data interface. The cause is that fields containing special characters such as glass batch numbers were not encoded when concatenating request parameters, leading to incorrect URI format.
- A 413 error is returned when uploading bulk glass detection reports. The cause is that the
UPLOAD_FILE_MAX_SIZEconfiguration was not adjusted, and the default value is smaller than the actual size of the uploaded file.
How to Verify Proper Configuration
- Upload a single glass detection report file, check if parsed fields including batch number, thickness, and bending strength match the actual document. Adjust the
CUSTOM_FIELD_MAPPINGconfiguration until fields match correctly. - Call the bulk pull interface, pass a small amount of test batch data, check if the return status code is 200. Adjust the
BATCH_REQUEST_MAX_COUNTconfiguration until the request succeeds. - Pass a glass batch number parameter containing special characters to the external data interface, check if a URI error is triggered, confirm that the parameter encoding logic works correctly.
- Upload a test file larger than the default
UPLOAD_FILE_MAX_SIZE, check if a 413 error is triggered, adjust the configuration value to match the actual file size.
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.