What the data for this category looks like
The inspection and process record data for printing and packaging processing covers daily business scenarios of enterprises engaged in color printing, labels, cartons, flexible packaging, and pharmaceutical packaging materials. It includes multiple types of documents such as pre-press files, layout sheets, printing process sheets, ink color matching records, first-piece proofing, barcode detection, die-cutting and lamination records, and more. Data sources include customer manuscripts, color management systems, printing press operation data, ink and substrate batch records, output results of spectrometers and barcode detectors, as well as manually filled audit records. The data update frequency follows per order, per production batch, or each plate change. Single-batch data contains both structured fields and unstructured documents.
What constraints these characteristics impose on deployment and upgrade
The data sources for this category are scattered, update frequency is high, and it includes both structured and unstructured content. This imposes multiple constraints on the deployment and upgrade links. High-frequency updated order and batch data require storage and index links with high concurrent processing capabilities to avoid data write delays or loss. Field differences across multiple types of documents require knowledge base configuration to adapt to different document structures, ensuring the accuracy of content extraction and avoiding information omissions during the audit process. In addition, the consequences of errors such as misprinted versions and barcode abnormalities are severe. Additional logging and monitoring links must be configured during deployment to quickly locate abnormal issues in the audit process. Furthermore, when migrating across servers, configurations of all dependent services must be synchronized to avoid service interruptions caused by broken data links.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–200 connections | Adapts to the high-frequency data read/write requirements per order and per batch, preventing service interruptions caused by exhausted database connections |
MONGODB_URI | Cluster address with read-write separation suffix | Stores multiple types of business documents and detection records, improving performance for high-frequency queries and writes via read-write separation |
REDIS_URL | Cluster address with RDB persistence configuration | Caches frequently accessed business data such as layout sheets and first-piece proofing, reducing access pressure on the core database |
STORAGE_S3_ENDPOINT | Endpoint address adapted to local or cloud object storage | Stores large-volume documents such as pre-press files and die-cutting records, ensuring reliable storage and retrieval of batch data |
FE_DOMAIN | Public network domain name of the deployment server | Ensures normal links for file upload callbacks and workflow notifications, avoiding cross-domain or access path errors |
ROOT_KEY | Randomly generated string of 32 or more characters | Configures the access key for system administrator permissions, ensuring permission security after deployment |
Three common configuration mistakes
- After upgrading to FastGPT v4.17.0, creating a new workflow or application and uploading a file displays the prompt Failed to create post presigned url. The cause is that
STORAGE_S3_ENDPOINTand associated storage access keys are not configured correctly, resulting in failed object storage signature generation. - After migrating to a non-Docker environment, knowledge base creation fails. The cause is that environment variables for
MONGODB_URIandREDIS_URLare not synchronized, causing dependent database and cache services to fail to connect normally. - When creating a knowledge base in version 4.13.2, the prompt worker terminated due to reaching memory limit is displayed. The cause is that the
DB_MAX_LINKparameter is not adjusted, and high-frequency order data read/write operations exhaust database connections, leading to memory overflow.
How to confirm the configuration is correct
- Upload a pre-press PDF file, check that the file upload progress bar completes without errors, confirming that the storage link configuration is normal.
- Import a layout sheet document, verify that the knowledge base can correctly extract fields such as edition number and batch number, confirming that the index configuration adapts to multiple types of document structures.
- Initiate 10 consecutive queries for first-piece proofing records, check that response times remain stable, confirming that the cache and database configuration adapts to high-frequency access requirements.
- View system operation logs, with no error records of
DB_MAX_LINKexhaustion or storage signature generation failure, confirming that parameter configurations are compliant.
The values provided are common starting points and should be measured against the reader's own samples.