What Data Looks Like for This Category
The data for this category primarily comes from animal quarantine information, supplier batch ledgers, production traceability systems, cold chain temperature collection equipment, metal detection equipment, and laboratory test results. Daily generated documents include quarantine certificates, slaughter and cutting records, ingredient marinating records, thermal processing records, cold chain temperature logs, and microbial test reports. Data update cycles follow production batches and work shifts. Continuous temperature control data updates in real time. Data fields include batch numbers, quarantine identifiers, temperature values, test results, production step identifiers, and more. Corresponding units include degrees Celsius, batch numbers, test times, and others.
Constraints on Deployment and Upgrade
The data characteristics of this category impose clear constraints on deployment and upgrade. High-frequency real-time cold chain temperature control data requires low-latency read and write capabilities. Deployment must ensure the database’s concurrent processing performance. Multi-source batch-associated data requires precise configuration of field matching rules. Existing production traceability links must not be damaged during upgrades. Storage of compliance documents such as quarantine certificates must meet food industry data security requirements, so encrypted storage parameters must be configured. Documents with different update cycles (real-time temperature control and batch shift records) require split processing queues to avoid resource contention. Cross-system data import must adapt to multiple input formats, so adaptation space for format conversion must be reserved during deployment.
Configuration Settings
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 | This category has high-frequency real-time temperature control data and batch documents, so it needs to adapt to high-concurrency database connection requirements |
PG_URL | Dedicated PostgreSQL instance address, allocated 1000 MB of storage space | Batch traceability data for this category requires structured storage, so sufficient structured data space must be reserved |
STORAGE_S3_ENDPOINT | Compliant cloud storage node address | Compliance documents such as quarantine certificates need to be stored, so storage nodes that meet food industry data security requirements must be selected |
FILE_TOKEN_KEY | 32-bit random string | Ensure the security of tokens for document upload and download, and prevent unauthorized access to compliance documents |
REDIS_URL | Local Redis cluster address, calibrated based on actual measurements | Caching of real-time temperature control data requires low-latency key-value storage to ensure fast reading |
Three Common Configuration Mistakes
- Issue: Database connection errors occur after deployment, with a 503 status code, and batch data cannot be read. Cause: The
DB_MAX_LINKparameter is not configured as required. The number of connections exceeds the database’s carrying limit, causing high-concurrency temperature control data requests to be rejected. - Issue: The deployed interface displays a blank screen when accessed via iOS devices, while macOS and Windows devices can access it normally. Cause: The
FE_DOMAINparameter is not configured correctly, and cross-terminal access domain rules are not adapted, leading to cross-domain requests being blocked. - Issue: GPU utilization is low when calling large models, and single-core CPU usage is too high. Cause: Deployment resource allocation is not optimized for batch document processing for this category, and the GPU-accelerated document parsing module is not enabled, leading to unreasonable computing resource allocation.
How to Verify Correct Configuration
- Run a database connection test to verify that the configured
DB_MAX_LINKparameter can support the set number of concurrent requests, and confirm that there are no connection errors. - Upload a quarantine certificate document to verify that the
FILE_TOKEN_KEYconfiguration can generate valid access tokens, and that the document can be stored and read normally. - Access the configured
FE_DOMAINdomain name, and verify that the interface loads normally on different terminal devices with no blank screen or loading failure. - Check the cache status of real-time temperature control data to verify that the cache service configured via
REDIS_URLcan read and update data normally.
The values provided are common starting points and should be measured against the reader's own samples.