What the data for this category looks like
The typical entities for this category include raw material warehouses, line-side warehouses, finished product warehouses, and logistics and material control departments. Daily generated documents include receiving slips, putaway slips, material picking and return slips, warehouse transfer slips, inventory sheets, lot ledgers, first-in first-out (FIFO) and expiration date records. Data mainly comes from ERP/WMS systems, barcode or RFID equipment, procurement and work order information, warehouse location data, AGV or conveyor systems, and weighing data. Data update frequencies include real-time, daily synchronization, and monthly inventory updates. Core fields cover lot numbers, warehouse locations, expiration dates, inspection status, and more.
What constraints these characteristics impose during deployment and upgrade
The need for multi-source data access requires configuring cross-system data synchronization rules during deployment to adapt to format differences across sources such as ERP, WMS, and device terminals. Data sources with different update frequencies require corresponding scheduled pull tasks with differentiated settings to avoid real-time data delays or synchronization timeouts for historical inventory data. There are many long-text fields related to lots and expiration dates, requiring the knowledge base to chunk content to fit field lengths and ensure complete extraction of valid information during technical Q&A. The core requirements of account-physical consistency and lot traceability mean that upgrade phases must retain historical data verification logic to avoid traceability chain interruptions caused by data loss or format changes.
How to set the configurations
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 10–20 connections | Adapt to concurrent query requests from multiple warehousing and logistics data sources, avoid synchronization task interruptions caused by exhausted database connections |
MONGODB_URI | Point to the dedicated database storing lot ledgers and expiration date records | Centralize storage of technical documents and business data frequently queried for this category, improve Q&A response speed |
REDIS_URL | Configure the intranet address of the in-plant cache node | Cache real-time updated warehouse location and AGV status data, reduce query pressure on the core database |
STORAGE_S3_ENDPOINT | Bind the address of the enterprise’s internal object storage service | Store paper documents and barcode data such as uploaded receiving slips and inventory sheets, uniformly manage unstructured business files |
FE_DOMAIN | Set to the in-plant exclusive intranet access domain name | Restrict the access scope of the Q&A tool, comply with the intranet deployment security requirements of production scenarios |
ROOT_KEY | Configure as the in-plant operation and maintenance exclusive key | Restrict modification permissions for core configurations, avoid unauthorized personnel adjusting data synchronization rules |
Three common mistakes
- Symptom: Historical lot ledger query results are empty after upgrade. Cause: The connection permission configuration for
MONGODB_URIwas not updated synchronously, resulting in inability to access historical business data from before the upgrade. - Symptom: 404 error returned when calling the speech recognition interface. Cause: The intranet access permission for the
v1/audio/transcriptionsinterface was not enabled during deployment, and the deployed speech recognition service configuration was not associated. - Symptom: Data synchronization tasks frequently time out and interrupt. Cause: The connection count upper limit for
DB_MAX_LINKwas not adjusted, causing concurrent requests from multiple data sources to exceed the database’s carrying capacity.
How to confirm configurations are correctly set
- Run the
ping ${REDIS_URL}command to confirm normal connectivity between the cache node and the deployment server. - Submit a test material picking and return slip data, query the process requirements for the corresponding lot via the technical Q&A tool, verify that data is returned completely and meets expectations.
- View the access logs for
FE_DOMAINto confirm that in-plant intranet IP addresses can normally access the Q&A tool interface. - Trigger a simulated monthly inventory data synchronization task, verify that the synchronization task has no timeout or error logs.
The values provided here are common starting points and should be measured against the reader's own samples.