What data looks like for this category
Typical entities for this category include slaughterhouses, cooked meat and frozen prepared food enterprises. These enterprises generate daily documents including quarantine certificates, slaughter and cutting records, ingredient marinating records, thermal processing records, cold chain temperature records, and microbial test reports. Data sources include animal quarantine information, supplier batches, production traceability systems, temperature collection equipment, metal detection equipment, and laboratory testing systems. Data updates occur per production batch, per shift operation, and during continuous temperature control collection. Document fields include batch number, quarantine number, temperature reading, test indicator values, and processing timestamp. Some documents require association with biosafety-related traceability information.
Constraints imposed by these characteristics during deployment and upgrade
High-frequency, real-time temperature control data updates require deployment with sufficient database connection and cache resources, to avoid interrupting data writes due to insufficient resources during upgrades. Multi-type document association verification requirements require retaining original field mapping rules during upgrades, to avoid damaging the association logic between batch and quarantine information. Strict biosafety-related compliance requirements require configuring strict access controls during deployment, and restricting upgrade operations to internal operation and maintenance nodes. Large-volume test reports and temperature control logs require configuration of a suitable object storage address to ensure low latency and reliable data storage.
Configuration Settings
| Configuration Item | Recommended Value | Basis |
|---|---|---|
DB_MAX_LINK | 100–200 | Adapts to high-frequency batch record and temperature control data writes, avoids connection exhaustion |
STORAGE_S3_ENDPOINT | Intranet address of enterprise-built object storage | Ensures low-latency storage for large-volume files such as cold chain temperature records and test reports |
REDIS_URL | Intranet Redis instance address with persistence | Caches real-time batch and quarantine association verification results, reduces database query pressure |
MONGODB_URI | Intranet connection address of independent document-oriented database | Stores unstructured rich text data such as quarantine certificates and test reports |
FILE_TOKEN_KEY | Randomly generated 32-bit string | Ensures access security for uploaded batch record files, prevents unauthorized access |
ROOT_KEY | Key configured only for internal operation and maintenance nodes | Restricts upgrade operation permissions, avoids unauthorized modification of deployment configurations |
Three common configuration mistakes
- A file upload API call returns success, but the corresponding file does not appear in the file list query. The cause is that
FILE_TOKEN_KEYis not configured, resulting in the uploaded file not being bound to the current deployment instance and the index not being written correctly. - An upgrade command execution prompts a database connection failure. The cause is that the original
DB_MAX_LINKconfiguration was not retained during the upgrade, and it was not adapted to the high-frequency batch and temperature control data write requirements, resulting in connection exhaustion. - A speech recognition API call returns a 404 error. The cause is that the API gateway route mapping was not updated synchronously during the upgrade, and the whisper service was not mounted to the FastGPT API path.
How to verify successful configuration
- Perform a file upload test in the intranet environment, upload a simulated quarantine certificate file, wait 10–30 seconds, then call the file list interface to confirm that the file information and associated batch information are displayed normally.
- Check the database connection monitoring panel to confirm that the current usage of
DB_MAX_LINKdoes not exceed 80% of the configured value, and there are no connection timeout error reports. - Attempt to access the object storage address configured in
STORAGE_S3_ENDPOINTvia the intranet to confirm that test files can be uploaded and read normally. - Execute the official FastGPT v4.17.0 upgrade script, and check that there are no error reports of missing configurations or database connection errors in the logs.
The values provided are common starting points and should be evaluated against local deployment samples.