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Import CSV

System Overview

The Import CSV module enables bulk loading of structured data into the system using predefined CSV templates. Supported data types include Assets, Parameters, Checklists, Work Orders, Users, and Inventory. Each template defines required columns and formatting for proper validation.

Navigation: Sidebar → Settings → Import CSV

Key Capabilities

Download CSV templates for each data type
Bulk import users, assets, equipment, inventory
Track import status and errors
Validate data against required fields

Quick Start Guide

  • Click Import Button
    From the Import CSV page, click the Import button to begin the upload process.
  • Select Template Type
    Choose the target module and template from the dropdown (Assets, Parameters, Checklists, Work Orders, etc.).
  • Download Template
    Download the selected CSV template. Review required columns and formatting rules.
  • Fill in Data
    Populate the template with your data. Preserve column names and structure for proper validation.
  • Upload File
    Click Upload File to submit your completed CSV. The system validates and imports the data.
  • Review Status
    Check the import table for status (Complete, Error, Partial) and review any errors for correction.

Module Guide

1. Import Table Overview

Purpose: View all import jobs with their status and error counts.

Import CSV Table

ColumnDescription
FilesTotal number of imported files
ErrorsTotal errors encountered during import
Created AtDate and time of upload
Updated AtLast update timestamp
StatusComplete, Error, or Partial

2. Supported Import Types

Assets

Facilities, Locations, Spaces, Sub-spaces, Equipment

Inventory

Items, Suppliers, Stock quantities

General

Users, Parameters, Checklists

Work Orders

Bulk work order creation


Key Notes

Validate Before Import

Always validate CSV data before import. Ensure required fields are populated and values match configuration lists (types, codes) to avoid inconsistent records.

Test with Small Files

Start with smaller test files where possible. This helps identify formatting issues before committing large datasets.

Keep Backups

Keep a backup of original files for audit and rollback purposes. Document any transformations applied before import.