Venkateshvenki404224

frappe-performance-optimizer

Generate optimized queries, caching, and indexes for Frappe performance. Use when optimizing slow queries, implementing caching, or improving performance.

Venkateshvenki404224 19 12 Updated 5mo ago
GitHub

Install

npx skillscat add venkateshvenki404224/frappe-apps-manager/frappe-performance-optimizer

Install via the SkillsCat registry.

SKILL.md

Frappe Performance Optimizer

Generate performance-optimized code including efficient queries, caching strategies, and database indexes for Frappe applications.

When to Use This Skill

Claude should invoke this skill when:

  • User reports slow queries or performance issues
  • User wants to add caching
  • User needs database indexing
  • User mentions performance, optimization, or slow queries
  • User wants to eliminate N+1 queries

Capabilities

1. Query Optimization

Optimized Report Query:

# Efficient query with proper indexing
def get_sales_summary(from_date, to_date):
    return frappe.db.sql("""
        SELECT
            si.customer,
            c.customer_name,
            c.customer_group,
            COUNT(si.name) as invoice_count,
            SUM(si.grand_total) as total_amount
        FROM `tabSales Invoice` si
        INNER JOIN `tabCustomer` c ON c.name = si.customer
        WHERE si.posting_date BETWEEN %s AND %s
            AND si.docstatus = 1
        GROUP BY si.customer
        ORDER BY total_amount DESC
        LIMIT 100
    """, (from_date, to_date), as_dict=True)

# Add index for performance
frappe.db.add_index('Sales Invoice', ['customer', 'posting_date', 'docstatus'])

2. Caching Implementation

Cache Expensive Calculations:

def get_item_price(item_code, price_list, customer=None):
    """Get price with caching"""
    cache_key = f"price:{item_code}:{price_list}:{customer or 'default'}"

    # Try cache
    cached_price = frappe.cache().get_value(cache_key)
    if cached_price is not None:
        return cached_price

    # Calculate price (expensive)
    price = frappe.db.get_value('Item Price',
        filters={'item_code': item_code, 'price_list': price_list},
        fieldname='price_list_rate'
    )

    # Cache for 1 hour
    if price:
        frappe.cache().set_value(cache_key, price, expires_in_sec=3600)

    return price

3. Batch Operations

Bulk Update Pattern:

def bulk_update_items(updates):
    """Update multiple items efficiently"""
    # updates = [{'item_code': 'ITEM-001', 'is_active': 1}, ...]

    # Build single query
    item_codes = [u['item_code'] for u in updates]

    frappe.db.sql("""
        UPDATE `tabItem`
        SET is_active = 1,
            modified = NOW(),
            modified_by = %s
        WHERE name IN %s
    """, (frappe.session.user, tuple(item_codes)))

    frappe.db.commit()

References

Performance Examples: