mirror of
https://github.com/ets-labs/python-dependency-injector.git
synced 2024-11-23 01:56:58 +03:00
60 lines
1.4 KiB
Python
60 lines
1.4 KiB
Python
"""`Chained Factories` pattern."""
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from dependency_injector import providers
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from data import (
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id_generator,
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session,
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SqlAlchemyDatabaseService,
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TokensService,
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Token,
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UsersService,
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User,
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)
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# "Chained Factories" pattern
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database = providers.Factory(SqlAlchemyDatabaseService, session=session)
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tokens = providers.Factory(
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TokensService,
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id_generator=id_generator,
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database=providers.Factory(database, base_class=Token),
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)
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users = providers.Factory(
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UsersService,
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id_generator=id_generator,
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database=providers.Factory(database, base_class=User),
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)
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tokens_service = tokens()
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assert tokens_service.database.base_class is Token
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users_service = users()
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assert users_service.database.base_class is User
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# Explanation & some more examples
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# 1. Keyword arguments of upper level factory are added to lower level factory
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chained_dict_factory = providers.Factory(
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providers.Factory(dict, arg1=1),
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arg2=2,
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)
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print(chained_dict_factory()) # prints: {'arg1': 1, 'arg2': 2}
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# 2. Keyword arguments of upper level factory have priority
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chained_dict_factory = providers.Factory(
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providers.Factory(dict, arg1=1),
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arg1=2,
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)
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print(chained_dict_factory()) # prints: {'arg1': 2}
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# 3. Keyword arguments provided from context have most priority
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chained_dict_factory = providers.Factory(
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providers.Factory(dict, arg1=1),
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arg1=2,
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)
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print(chained_dict_factory(arg1=3)) # prints: {'arg1': 3}
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