Reference only; verify against the target FastGPT release and deployment documentation.
What This Category of Data Looks Like
Grain reserve service consultation data mainly comes from official grain reserve management systems, warehouse storage ledgers, batch inspection reports, and policy-based grain purchase and storage documents. Data update rhythm falls into three categories: real-time synchronized inventory change data, monthly updated rotation execution plans, and inspection archives archived immediately after batch completion. Each document includes fields such as grain reserve variety, storage bin number, storage location, ownership subject, in/out warehouse time, and physical property parameters. The unit of quantity is tons, and the unit of physical property parameters is grams per liter. The structure is standardized with no redundant nesting, making it suitable for batch parsing and retrieval.
Constraints on Deployment and Upgrade
High-frequency updates of real-time inventory data require the vector database configured during deployment to support high-concurrency writes to avoid data synchronization delays. Batch documents for monthly rotation plans need to adapt to long-text chunking logic to prevent single chunk content from exceeding embedding limits. Structured field rules require the knowledge base mapping configuration to strictly match ledger fields to avoid field mismatch issues during retrieval. During the upgrade phase, retain the original field mapping configuration to prevent retrieval logic from failing after version upgrade. Also reserve extended interfaces to adapt to new policy-based grain purchase and storage document parsing needs, avoiding repeated adjustments to core configurations due to business expansion.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 concurrent connections | Adapts to the high-frequency inventory data write demand, avoids database connection exhaustion |
MONGODB_URI | Cluster connection address with read-write separation suffix | Supports storage and retrieval of batch rotation plan documents, improves large document reading efficiency |
REDIS_URL | Local cluster address using port 6379 | Caches frequently queried inventory results for high-frequency consultations, reduces database access pressure |
STORAGE_S3_ENDPOINT | Regional object storage endpoint | Stores scanned copies and electronic archives of batch inspection reports, unifies management of unstructured data |
FE_DOMAIN | Internal office domain name | Limits the access scope of the consultation entry, complies with internal data security requirements of state-owned enterprises and public institutions |
Three Common Errors
- Phenomenon: Docker local deployment triggers an image pull failure error, with prompts of connection timeout or resource not found. Cause: No domestic mirror acceleration source is configured, and access to the official image repository is restricted.
- Phenomenon: The background management interface does not display the Text Processing configuration entry. Cause: The corresponding function switch is not enabled in the deployment configuration, or the deployed image version does not match the function module.
- Phenomenon: Model testing returns the
404 no bodyerror. Cause: TheMONGODB_URIconfiguration is incorrect, and a database connection failure causes the interface to fail to respond to requests normally.
How to Verify Proper Configuration
- Run the database connection test script, verify whether the concurrent connection number set by
DB_MAX_LINKmeets the current business peak demand, and adjust to a stable operating range. - Upload a real grain reserve inspection report document, trigger the chunking and embedding process, and confirm that the parsed document fields match the preset mapping rules.
- Initiate high-frequency inventory consultation requests, check the Redis cache hit rate, and confirm that the cache configuration takes effect.
- Restart the service, access the internal office domain name, and verify that the access permissions set by
FE_DOMAINtake effect normally.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.