Data characteristics for this category
This category covers the entire process of color printing, label, carton, flexible packaging, and pharmaceutical packaging processing. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first-piece proofing signatures, barcode detection, and die-cutting and lamination records. Data sources include customer manuscripts, color management systems, printing press operation data, ink and substrate batch records, spectrometer and barcode detector outputs. Data is generated synchronously for each order, each production batch, or each plate change.
Constraints imposed by these characteristics on deployment and upgrade
The multi-source heterogeneous data and high-frequency update characteristics of this category require prioritizing a hybrid storage architecture during deployment. For high-frequency order and batch-level data generation, configure storage components that support high-concurrency writes. For composite documents containing images and text such as pre-press files and first-piece proofing signatures, use a preprocessing process adapted to multimodal data parsing. For offline deployment, plan local mirroring and data synchronization mechanisms in advance to avoid process interruptions caused by reliance on external networks. For temporary data increments created by each plate change, configure dynamically scalable storage space to handle peak loads.
Configuration settings
This configuration is based on FastGPT v4.17.0. The specific parameters are as follows:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://user:pass@host:27017/fastgpt?authSource=admin | Adapts to the high-frequency read and write requirements of multi-source batch data, supports index optimization for order and batch queries |
DB_MAX_LINK | 200–300 connections | Limits the number of concurrent connections to avoid database overload caused by high-frequency data writes |
REDIS_URL | redis://:password@host:6379/0 | Caches frequently accessed imposition sheet and first-piece proofing signature metadata to reduce database load |
STORAGE_S3_ENDPOINT | Intranet NAS or compliant cloud storage endpoint | Adapts to batch storage and fast reading of large files such as printed images and process sheets |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Encrypts file access tokens to protect sensitive documents such as pre-press files and first-piece proofing signatures |
Three common configuration mistakes
- Symptom: The front-end page keeps spinning after loading and cannot enter the system. Cause: The
FE_DOMAINparameter is not configured correctly, causing cross-domain requests between the front-end and back-end to be blocked. - Symptom: The marker image fails to load during offline deployment, and tool calls fail. Cause: The marker image was not pulled and stored locally in advance, relying on an external image repository which cannot be pulled in an offline environment.
- Symptom: Timeout errors occur when batch importing process sheet data. Cause: The
DB_MAX_LINKconnection upper limit is not set reasonably, and high-frequency write requests exceed the database's carrying capacity.
How to confirm correct configuration
- Access the configured
FE_DOMAINaddress to confirm that the front-end page loads normally and there are no cross-domain error prompts. - Perform a test of batch importing 10 imposition sheets, check the database connection number monitoring to confirm that it does not exceed the upper limit set by
DB_MAX_LINK. - Check the local mirror repository to confirm that the marker image has been synchronized to the offline deployment environment and can be called normally.
- Check the file upload logs of the storage node to confirm that documents such as pre-press files and first-piece proofing signatures can be stored and read normally.
The values provided are common starting points and should be measured against the reader's own samples.