SQLite cache storage for botasaurus.
Project description
sqlite-cache-storage
SQLite cache storage backend for botasaurus.
Installation
pip install sqlite-cache-storage
Usage
With decorators like @task, @request, @browser
from sqlite_cache_storage import SqliteCacheStorage
from botasaurus.task import task
from datetime import timedelta
# Create storage instance
sqlite_storage = SqliteCacheStorage(
db_path="cache.db"
)
@task(cache=True, expires_in=timedelta(days=1), cache_storage=sqlite_storage)
def my_scraper(data):
# scraping logic
return result
With @cache decorator
from sqlite_cache_storage import SqliteCacheStorage
from botasaurus.decorator_helpers import cache
from datetime import timedelta
# Create storage instance
sqlite_storage = SqliteCacheStorage(
db_path="cache.db"
)
# Use the decorator
@cache(expires_in=timedelta(days=1), cache_storage=sqlite_storage)
def my_function(data):
# time-consuming operation
return result
API
SqliteCacheStorage
SqliteCacheStorage(
db_path: str = 'cache.db',
table_name: str = 'botasaurus_cache'
)
Methods
get(func_name, key_data, expires_in=None)- Get cached value. Returns{"data": value}orNoneput(func_name, key_data, data)- Store value in cachedelete(func_name, key_data)- Delete cached value
License
MIT
Project details
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