fast-resource
fast-resource is a data transformation layer that sits between the database and the application's users, enabling quick data retrieval. It further enhances performance by caching data using Redis and Memcached.
Why Use fast-resource?
fast-resource is useful in situations where there are numerous data retrieval queries, multiple data sources requiring data aggregation, and shared data between entities that need to be cached. Additionally, the type of database used is not important.
Requirements
redispymemcache
Install
> pip install fast-resourceUsage
Quick Start
from fast_resource import Resource
class UserResource(Resource):
class Meta:
fields = (
'id',
'name',
)
def name(self, input_data) -> str:
return f'{input_data["name"]} {input_data["family"]}'
UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict()Custom output
UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict(('id',))Use cache decoder
from redis.client import Redis
from fast_resource import Resource, cache
from fast_resource.cache import RedisCache
def my_key_builder(input_data, field):
return f'user.{input_data["id"]}.{field}'
class UserResource(Resource):
class Meta:
fields = (
'id',
'name',
)
@cache(key=my_key_builder)
def name(self, input_data) -> str:
return f'{input_data["name"]} {input_data["family"]}'
Resource.cache_init(driver=RedisCache(Redis()))
UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict()Custom cache expire_time
@cache(key=my_key_builder, expire_time=60)
def name(self, input_data) -> str:
return f'{input_data["name"]} {input_data["family"]}'Cache delete
UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).cache_delete()Cache delete & rebuild
UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).cache_delete(rebuild=True)Cache delete by keys
UserResource.cache_delete_by_keys(['user.1.name'])Create collection
user_collection = UserResource.collection([
{'id': 1, 'name': 'bagher', 'family': 'rokni'},
{'id': 2, 'name': 'sepehr', 'family': 'rokni'},
{'id': 3, 'name': 'sama', 'family': 'rokni'},
])
user_collection.to_dict()
