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/frappe-core-cache

Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe. Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys. Covers frappe.cache(), @redis_cache decorator, cache.get_value/set_value, cache

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frappe-claude-skill-package
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$ npx -y skills add Impertio-Studio/Frappe_Claude_Skill_Package --skill frappe-core-cache --agent claude-code

SKILL.md

frappe-core-cache.SKILL.md
name: frappe-core-cache
description: >
  Use when implementing Redis caching, cache invalidation, or distributed locking in Frappe.
  Prevents stale cache bugs, race conditions from missing locks, and memory bloat from unbounded cache keys.
  Covers frappe.cache(), @redis_cache decorator, cache.get_value/set_value, cache invalidation patterns, frappe.lock, TTL strategies.
  Keywords: cache, Redis, redis_cache, invalidation, locking, frappe.cache, get_value, set_value, TTL, distributed lock, data not refreshing, stale data, cache not clearing, Redis error, slow repeated queries..
license: MIT
compatibility: "Claude Code, Claude.ai Projects, Claude API. Frappe v14-v16."
metadata:
  author: OpenAEC-Foundation
  version: "2.0"

Frappe Cache & Locking

Quick Reference

| Action | Method | Notes | |--------|--------|-------| | Set value | `frappe.cache.set_value(key, val)` | With optional TTL | | Get value | `frappe.cache.get_value(key)` | Returns `None` if missing | | Get or generate | `frappe.cache.get_value(key, generator=fn)` | Calls `fn()` on cache miss | | Delete value | `frappe.cache.delete_value(key)` | Single key or list of keys | | Delete by pattern | `frappe.cache.delete_keys(pattern)` | Wildcard `*` matching | | Hash set | `frappe.cache.hset(name, key, val)` | Redis hash field | | Hash get | `frappe.cache.hget(name, key)` | Single hash field | | Hash get all | `frappe.cache.hgetall(name)` | Full hash as dict | | Hash delete | `frappe.cache.hdel(name, key)` | Remove hash field | | Hash exists | `frappe.cache.hexists(name, key)` | Returns bool | | Cached document | `frappe.get_cached_doc(dt, dn)` | Full doc from cache | | Clear doc cache | `frappe.clear_document_cache(dt, dn)` | Invalidate cached doc | | Decorator cache | `@redis_cache` | Auto-cache function result | | Request cache | `frappe.local.cache` | Per-request dict (not Redis) |

---

Decision Tree

What caching pattern do you need?
│
├─ Cache a function result automatically?
│  ├─ Pure function (same args → same result) → @redis_cache
│  └─ Need custom key/TTL → manual get_value/set_value
│
├─ Cache a document?
│  ├─ Read-only access → frappe.get_cached_doc()
│  └─ Need to invalidate → frappe.clear_document_cache()
│
├─ Cache structured data (multiple fields)?
│  └─ Redis hash → hset/hget/hgetall
│
├─ Per-request cache (avoid repeated DB calls in one request)?
│  └─ frappe.local.cache dict
│
├─ Prevent concurrent execution?
│  └─ Distributed lock → frappe.lock("resource_name")
│
└─ Invalidate cache?
   ├─ Single key → delete_value(key)
   ├─ Pattern → delete_keys("prefix*")
   └─ All site cache → frappe.clear_cache()

---

String Operations

Set and Get

# Set a value (persists until evicted or deleted)
frappe.cache.set_value("exchange_rate_USD", 1.08)

# Set with TTL (expires after N seconds)
frappe.cache.set_value("exchange_rate_USD", 1.08, expires_in_sec=3600)

# Get value (returns None if missing)
rate = frappe.cache.get_value("exchange_rate_USD")

# Get with generator (calls function on cache miss, stores result)
rate = frappe.cache.get_value(
    "exchange_rate_USD",
    generator=lambda: fetch_exchange_rate("USD"),
)

User-Scoped Values

# Store per-user preference
frappe.cache.set_value("dashboard_layout", "compact", user="user@example.com")

# Retrieve for specific user
layout = frappe.cache.get_value("dashboard_layout", user="user@example.com")

Delete

# Single key
frappe.cache.delete_value("exchange_rate_USD")

# Multiple keys
frappe.cache.delete_value(["exchange_rate_USD", "exchange_rate_EUR"])

# Pattern-based deletion (wildcard)
frappe.cache.delete_keys("exchange_rate*")

---

Hash Operations

Use hashes to group related fields under a single key.

# Set hash fields
frappe.cache.hset("config|notifications", "email_enabled", True)
frappe.cache.hset("config|notifications", "sms_enabled", False)
frappe.cache.hset("config|notifications", "max_retries", 3)

# Get single field
email_on = frappe.cache.hget("config|notifications", "email_enabled")

# Get all fields as dict
config = frappe.cache.hgetall("config|notifications")
# {"email_enabled": True, "sms_enabled": False, "max_retries": 3}

# Delete field
frappe.cache.hdel("config|notifications", "sms_enabled")

# Check existence
exists = frappe.cache.hexists("config|notifications", "email_enabled")

Hash with Generator

# hget with generator — calls function on miss
value = frappe.cache.hget(
    "user|permissions",
    "user@example.com",
    generator=lambda: compute_permissions("user@example.com"),
)

---

@redis_cache Decorator

Automatically cache function return values based on arguments.

from frappe.utils.caching import redis_cache

@redis_cache
def get_item_price(item_code, price_list):
    """Expensive query — cached automatically."""
    return frappe.db.get_value("Item Price",
        {"item_code": item_code, "price_list": price_list},
        "price_list_rate",
    )

# First call — hits database, stores in Redis
price = get_item_price("ITEM-001", "Standard Selling")

# Second call — returns from cache
price = get_item_price("ITEM-001", "Standard Selling")

# Clear all cached results for this function
get_item_price.clear_cache()

With TTL

@redis_cache(ttl=300)  # expires after 5 minutes
def get_exchange_rate(from_currency, to_currency):
    return fetch_rate_from_api(from_currency, to_currency)

**Rules for @redis_cache:**

  • ALWAYS ensure arguments are hashable (strings, numbers, tuples). NEVER pass dicts or lists as arguments.
  • ALWAYS call `.clear_cache()` when underlying data changes.
  • NEVER use on functions with side effects — the function will NOT execute on cache hits.

---

frappe.local.cache: Request-Scoped Cache

`frappe.local.cache` is a plain Python dict that lives for the duration of a single HTTP request. It is NOT stored in Redis.

def get_user_settings():
    """Avoid repea
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Questions about frappe-core-cache.

Which coding agents can use frappe-core-cache?
frappe-core-cache installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.