Frappe Data Migration Generator

Frappe Data Migration Generator

Generate robust data migration scripts with validation, error handling, and progress tracking for importing data into Frappe.

When to Use This Skill

Claude should invoke this skill when:

• User wants to migrate data from legacy systems
• User needs to import large CSV/​Excel files
• User mentions data migration, ETL, or data import
• User wants to transform data structures
• User needs bulk data operations

Capabilities

1. CSV Import Script

Production-Ready CSV Importer:

import csv
import frappe
from frappe.utils import flt, cint, getdate

def import_customers_from_csv(file_path):
    """Import customers with validation and error handling"""
    success = []
    errors = []

    with open(file_path, 'r', encoding='utf-8-sig') as f:
        reader = csv.DictReader(f)

        for idx, row in enumerate(reader, start=2):
            try:
                # Validate required fields
                if not row.get('Customer Name'):
                    raise ValueError('Customer name required')

                # Transform data
                customer = {
                    'doctype': 'Customer',
                    'customer_name': row['Customer Name'].strip(),
                    'customer_group': row.get('Customer Group', 'Commercial'),
                    'territory': row.get('Territory', 'All Territories'),
                    'email_id': row.get('Email', '').strip(),
                    'mobile_no': row.get('Phone', '').strip(),
                    'credit_limit': flt(row.get('Credit Limit', 0))
                }

                # Check duplicate
                exists = frappe.db.exists('Customer',
                    {'customer_name': customer['customer_name']})

                if exists:
                    # Update
                    doc = frappe.get_doc('Customer', exists)
                    doc.update(customer)
                    doc.save()
                else:
                    # Insert
                    doc = frappe.get_doc(customer)
                    doc.insert()

                success.append(row['Customer Name'])

                # Commit every 100
                if len(success) % 100 == 0:
                    frappe.db.commit()
                    print(f"Processed {len(success)} records")

            except Exception as e:
                errors.append({'row': idx, 'data': row, 'error': str(e)})

    frappe.db.commit()
    return {'success': success, 'errors': errors}

References

Frappe Data Import:

• Data Import: https://github.com/frappe/frappe/blob/develop/frappe/core/doctype/data_import/data_import.py
• CSV Utils: https://github.com/frappe/frappe/blob/develop/frappe/utils/csvutils.py