What the data for this category looks like
Glass intelligent due diligence reports, primarily used for construction project procurement due diligence by financial institutions, draw data from three main sources: factory quality inspection reports from production enterprises, sampling data from third-party testing organizations, and on-site installation acceptance records.
Update frequency aligns with production batches and installation milestones: factory batch data updates synchronously with production cycles, while on-site remeasurement data is submitted immediately upon acceptance. Most documents use PDF format. A single report includes fields such as batch number, thickness, light transmittance, impact resistance rating, and dimensional deviation. Fields use standard engineering units like millimeters and percentages. A single valid dataset spans approximately 5 to 15 pages.
What constraints do these characteristics impose on workflow orchestration?
The data characteristics of the glass category impose multiple constraints on workflow orchestration. The dispersed nature of multi-source data requires workflow configurations to include cross-data-source pull nodes, plus a batch matching step. This ensures data from different channels corresponds to the same glass batch. PDF-formatted quality inspection reports need specialized parsing nodes to extract structured fields, avoiding parsing errors from unstructured text. High-precision fields require numerical validation nodes to filter deviation data outside reasonable ranges. The dynamic update schedule requires setting trigger rules based on batch numbers or acceptance times, preventing repeated processing of old data.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Single-page parsing of glass quality inspection reports takes approximately 10 to 20 seconds. 300 seconds covers complete parsing of reports up to 15 pages |
BATCH_MATCH_THRESHOLD | 0.95 | Batch numbers are fixed strings. A high threshold prevents batch matching errors and ensures accurate data association |
NUMERIC_VALIDATION_PRECISION | 0.1 millimeters | The general precision requirement for dimensional deviation in the glass industry is ±0.1mm. Validate field values according to this precision |
WORKFLOW_TRIGGER_MODE | Trigger by batch number | Glass data is managed by batch. Triggering by batch prevents repeated processing of duplicate data from the same batch |
MAX_RETRIEVE_DOCS | Top 3 entries | Valid fields for glass quality inspection reports are concentrated in the core parameter pages of the first 3 pages. Retrieving too many introduces redundant data |
FILE_UPLOAD_MAX_SIZE | 100 MB | Single glass quality inspection report PDFs typically do not exceed 50 MB. Setting a reasonable upper limit prevents invalid file uploads |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Scenario: Attempting to connect a form fill node to another branch link triggers a system prompt indicating a link conflict and blocks navigation. Cause: The workflow's node reuse switch is not enabled. By default, a single node only supports access via one path.
- Scenario: Attempting to retrieve the current operator's name in the workflow returns an empty result. Cause: Global variable mapping rules are not configured. By default, only the user ID is synchronized, and the name field is not included.
- Scenario: Glass quality inspection report parsing fails, and the system returns a
408 Request Timeouterror code. Cause: The value set forPARSE_FILE_TIMEOUT_SECONDSis lower than 300 seconds, which cannot cover complete parsing of reports with more than 10 pages.
How to verify successful configuration
- Upload a standard glass quality inspection report, trigger the workflow, and check if the extracted fields after parsing include core parameters such as batch number and thickness.
- Simulate submission of glass data from different batches, confirm the workflow only triggers the processing flow for the corresponding batch, with no repeated execution.
- Input a dimensional deviation value outside the allowed precision range, check if the workflow triggers an abnormal validation intercept.
- View the workflow logs, confirm that the execution time of each node is lower than the preset
PARSE_FILE_TIMEOUT_SECONDSvalue.
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.