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.
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.
redispymemcache
> pip install fast-resourcefrom 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()UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).to_dict(('id',))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()@cache(key=my_key_builder, expire_time=60)
def name(self, input_data) -> str:
return f'{input_data["name"]} {input_data["family"]}'UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).cache_delete()UserResource({'id': 1, 'name': 'bagher', 'family': 'rokni'}).cache_delete(rebuild=True)UserResource.cache_delete_by_keys(['user.1.name'])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()