What the data for this category looks like
This category’s data comes from customer manuscripts, color management systems, press operation data, ink and substrate batch records, spectrometer test results, and barcode detector readings. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article sign-off sheets, barcode test reports, and die-cutting and lamination process records. Data updates occur per order, per production batch, and each plate change. Core fields include order number, plate version number, ink batch, printing speed, first article test pass rate, barcode verification result, and more. There are no unified fixed units. Values vary by process type.
Constraints on tool calling and plugins
High-frequency data updates for this category require tool calling to support on-demand triggering. It meets real-time data synchronization needs for each order and batch. Differences in data formats across multiple sources require plugins to support multiple file types. These include press CSV logs, spectrometer exported spectral data, and PDF imposition sheets. Plugins complete cross-format data integration. Data errors carry the risk of full batch scrap. Tool calling links embed basic verification logic. This checks consistency between plate versions and color matching records. It prevents invalid data from entering ledger summaries. Multi-dimensional production fields require plugins to support custom field mapping. This adapts to parameter collection needs for different processes.
How to Configure Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to multi-tool calling scenarios, automatically matches data pulling and verification tools required for production ledger summary |
| Workflow/API function-call configuration | Allow batch calls | Supports pulling production data from multiple processes at the same time, covering imposition, printing, die-cutting and other links |
| Data source pull timeout | 300 seconds | Adapts to conventional pull delays for spectrometers and press operation data |
| Field mapping rules | Map by process category | Matches different field formats of pre-press files, printing process sheets, and die-cutting records |
| First article data verification trigger condition | First 3 test records | Prioritizes verifying core test results of first article sign-offs, reduces subsequent summary risks |
Three Common Mistakes
- Phenomenon: Ledger data returned by tools lacks the plate version number field. Cause: No field mapping rules configured for the corresponding process, leading to incorrect extraction of key fields from imposition sheets.
- Phenomenon: 504 gateway timeout error occurs after calling tools. Cause: Data source pull timeout setting is too short, unable to complete data pulling from slow data sources such as spectrometers and presses.
- Phenomenon: Barcode test result field is empty in generated reports. Cause: No verification of barcode detector reading format, and no conversion of binary test data into readable verification result fields.
How to Confirm Configuration Is Complete
- Import a single batch of printing process sheets and imposition sheets, trigger tool calling, and check if returned fields include core content such as order number, plate version number, and ink batch.
- Simulate a slow data source pull scenario, verify if the tool calling timeout setting matches actual data pull delay conditions.
- Submit first article sign-off test records, check if tools can correctly extract and map barcode test result fields.
- Run a batch call test, confirm that tools can pull production data from multiple processes at the same time and complete summary.
The values provided are common starting points and should be measured against the reader's own samples.