What the Data for This Category Looks Like
The inventory data for infrastructure construction comes primarily from on-site construction logs, material acceptance systems, supervision inspection documents, and progress reports. Data updates follow a set cadence: daily synchronization of construction progress and material consumption data, weekly summary of staged material usage, and monthly submission of complete acceptance inventories. A single inventory document includes fields such as project number, construction section, material name, specification model, incoming quantity, actual usage, remaining inventory, acceptance date, and supervision signature number. Units include cubic meters, tons, square meters, and workdays. Most single documents range from 300 to 1500 characters in length.
Constraints on Deployment and Upgrade Posed by Data Characteristics
The multi-source data and high-frequency update characteristics of this category require pre-configuration of storage parameters for cross-system data docking during deployment. This prevents synchronization interruptions that would compromise inventory integrity. The long documents and multi-field structure of monthly acceptance inventories increase resource usage for vector database import and retrieval. Sufficient database and cache resources must be reserved. During upgrades, daily progress data synchronization must not be interrupted. Upgrade windows must avoid peak construction hours, and full inventory data must be backed up in advance to prevent data loss. Field standardization requirements must be addressed via data mapping during deployment, to avoid retrieval failures caused by non-standard fields.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 connections | Adapts to the high-frequency synchronization needs of infrastructure construction inventories, prevents connection pool exhaustion from interrupting data synchronization |
MONGODB_URI | Connection address with authentication parameters for the self-built MongoDB instance | Stores unstructured acceptance documents and long-text inventories, supports flexible queries across multiple fields |
REDIS_URL | Local Redis instance address with password authentication | Caches frequently accessed construction progress data, reduces database query pressure |
STORAGE_S3_ENDPOINT | Endpoint address for the enterprise’s internal object storage | Stores large files such as batch-uploaded construction log PDFs and acceptance scan documents |
ROOT_KEY | Random string generated per enterprise internal permission rules | Configures system administrator permissions, ensures access security for inventory data |
FE_DOMAIN | Domain address for internal enterprise access | Limits front-end access scope, prevents unauthorized external access to the inventory system |
Three Common Misconfigurations
- Symptom: Database connection timeout error occurs after startup, with a 503 status code returned. Cause: Authentication parameters for
MONGODB_URIorPG_URLare not configured correctly, preventing connection to the inventory storage database. - Symptom: The number of inventory entries returned by knowledge base retrieval is insufficient, and all matching data cannot be retrieved. Cause:
DB_MAX_LINKis not adjusted to a value suitable for high-frequency synchronization, connection pool exhaustion causes partial data query failures. - Symptom: Some historical construction inventory data is lost and cannot be retrieved in the knowledge base. Cause: Cache data associated with
REDIS_URLand full MongoDB inventory data were not backed up in advance during upgrade, leading to data loss from interrupted synchronization during the upgrade process.
How to Verify a Successful Configuration
- Run the system’s built-in health check script to verify the connection status of
MONGODB_URIandPG_URL, confirm no connection timeout errors occur. - Submit a standard-format test inventory data entry, query via the front-end retrieval interface, confirm that returned result fields are complete and the format matches preset requirements.
- Check the system operation logs, confirm that cache write and read operations for
REDIS_URLwork normally, with no connection disconnection or timeout prompts. - Log in to the system backend management page, check the version information, confirm that FastGPT v4.17.0 is displayed, matching the deployment package version.
The values provided here are common starting points, and should be evaluated against relevant deployment 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.