What this category of data looks like
This category of data mainly comes from customer manuscripts, color management systems, printing press operation data, ink and substrate batch ledgers, spectrophotometer test results, barcode detector readings, and die-cutting and lamination records. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article sample approval reports, barcode inspection reports, and die-cutting and lamination process records. Data updates are triggered with each order, each production batch, or each plate change. Individual documents contain exclusive fields such as batch number, registration alignment parameters, barcode verification values, and lamination strength.
What constraints these characteristics impose on the deployment and upgrade link
High-frequency data updates triggered by orders, batches, and plate changes require deployment configurations to support incrementally indexed storage and indexing strategies. Mixed input of multiple document types requires upgrade compatibility with parsing adapters for different formats. Accurate association of exclusive fields such as batch numbers and registration alignment parameters requires database connection configurations to ensure low-latency data queries. Requirements for importing raw data directly from devices require reserving interface configurations compatible with third-party device data during deployment. Isolation of document versions across different orders requires configuring clear storage permissions and version management rules.
How to set the configurations
| Configuration Item | Recommended Value | Basis for This Setting |
|---|---|---|
REDIS_URL | redis://<intranet IP>:6379/1 | This scenario requires high-frequency storage of order batch caches. 6379 is the default Redis port, and database 1 isolates business caches from system caches |
MONGODB_URI | mongodb://<user>:<pass>@<intranet IP>:27017/fastgpt?authSource=admin | Process sheets and inspection reports for printing and packaging are unstructured data. MongoDB is suitable for this type of storage, and intranet addresses ensure transmission security |
DB_MAX_LINK | 200–300 | Single production batches may trigger simultaneous queries of process data by multiple users. This range covers concurrent connection requirements and avoids connection overflow |
STORAGE_S3_ENDPOINT | oss-cn-<region>.aliyuncs.com | First article sample approval and barcode inspection files have large sizes. Alibaba Cloud OSS is suitable for large file storage. Matching the deployment node region reduces latency |
FILE_TOKEN_KEY | 32-bit random string calibrated through actual testing | Ensures access permissions for uploaded process documents and inspection data, and prevents unauthorized access |
Three common misconfigurations
- After deployment, the file status continuously displays "Indexing" with no progress updates. The cause is incorrect configuration of
REDIS_URL, or using an embedding model incompatible with FastGPT v4.17.0, which prevents index tasks from writing to the cache queue normally. - After configuring Redis-related parameters in docker-compose.yml, images cannot be pulled. The cause is not using the official Alibaba Cloud Redis image address, or the image address not matching the network environment of the deployment node, resulting in pull timeout.
- Setting
DB_MAX_LINKto an excessively high or low value. The cause is not adjusting the parameter based on the concurrent query requirements of this scenario. Excessively high values will occupy too many system resources, while excessively low values will cause concurrent query failures.
How to confirm the configuration is correct
- Access the FastGPT backend, check the Redis connection status, and confirm successful connection with no error logs.
- Upload a printing process sheet, verify that indexing progress completes within 10 minutes with no abnormal stagnation.
- Run a process specification Q&A test, confirm returned results include correct exclusive fields such as batch numbers and registration alignment parameters.
- Review the
STORAGE_S3_ENDPOINTconfiguration, upload a first article sample approval image, and confirm the stored file can be accessed normally.
The values given are common starting points and should be measured against the reader's own samples.