A specialized library developed by Credenti for efficient caching in Flask applications.
Project description
Ct Cache Lib
A specialized library developed by Credenti for efficient caching in Flask applications.
Features
- Decorator-based caching for Flask endpoints and functions
- Configurable Valkey connection pooling
- Supports cache key templating with nested attribute access
- Easy integration with Flask app lifecycle
Installation
pip install ct-cache-lib
Configuration
Add the following to your Flask app configuration:
app.config['CACHE'] = True # Enable or disable caching
app.config['CACHE_EXPIRE_TIME'] = 60 # Default cache expiration time in seconds
app.config['CACHE_HOST'] = 'localhost' # Cache host
app.config['CACHE_PORT'] = 6379 # Cache port
app.config['CACHE_USERNAME'] = 'user' # Cache username (if required)
app.config['CACHE_PASSWORD'] = 'pass' # Cache password (if required)
app.config['CACHE_CLIENT_NAME'] = 'my-client' # Cache client name
Usage
from flask import Flask
from ct_cache_lib import init_cache
import logging
app = Flask(__name__)
logger = logging.getLogger(__name__)
# Initialize the cache
ct_cache = init_cache(app, logger)
@app.route('/idle_time')
@ct_cache.cache(template_cache_key='idle_time_value:$idle_time', field='$idle_time')
def get_idle_time_value(idle_time: str):
# Your function logic here
return {'idle_time': idle_time}
Updating a Cache Entry
Update a cache entry directly:
ct_cache.update(
cache_key='idle_time_value:123', # Actual cache key
field='some_field',
value={'idle_time': 123},
is_global=False, # or True if the key is global
expire_time=120 # optional, in seconds
)
Deleting a Cache Entry
Delete a cache entry:
ct_cache.delete(
cache_key='idle_time_value:123', # Actual cache key, not a template
field='some_field',
is_global=False # or True if the key is global
)
Committing and Resetting Cache
Commit cache writes after each request:
@app.after_request
def after_request(response):
ct_cache.commit(response)
return response
Reset cache if you need to roll back changes:
ct_cache.reset()
Cache Key Specification Examples
You can use dynamic cache keys by referencing function arguments or nested data using $.
Basic Example
@ct_cache.cache(template_cache_key='idle_time_value:$idle_time', field='$idle_time')
def get_idle_time_value(idle_time: str):
return {'idle_time': idle_time}
- If
idle_time = 123, the cache key will beidle_time_value:123.
Nested Dictionary Example
@ct_cache.cache(template_cache_key='user_cache:$user.id', field='$user.id')
def get_user(user: dict):
return user
- If
user = {'id': 01, 'name': 'User1'}, the cache key will beuser_cache:01.
Nested Object Example
class User:
def __init__(self, id, name):
self.id = id
self.name = name
@ct_cache.cache(template_cache_key='user_cache:$user.id', field='$user.id')
def get_user_obj(user: User):
return {'id': user.id, 'name': user.name}
- If
user.id = 01, the cache key will beuser_cache:01.
Deeply Nested Example
@ct_cache.cache(template_cache_key='deep_cache:$data.profile.info.id', field='$data.profile.info.id')
def get_deep(data: dict):
return data
- If
data = {'profile': {'info': {'id': 01}}}, the cache key will bedeep_cache:01.
Static Key Example
@ct_cache.cache(template_cache_key='static_key')
def get_static():
return {'result': 1}
- The cache key will always be
static_key.
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