* fix(trainer): Updated requirements * fix(recommendations): Downgraded pydantic to 1.10.12 and mlflow to 2.5 * Updated dag for updating database with feedbacks, changed feedback file from ml_service/core into common core * fix(recommendations): fixed database update and added more features into DB * Updated modules in recommendations trainer and server * chore(recommendations): Updated python modules for trainer. Added script to save features from feedback sessions into ml database. * updated requirements * updated requirements
56 lines
2.1 KiB
Python
56 lines
2.1 KiB
Python
import logging
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import clickhouse_driver
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from decouple import config
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logging.basicConfig(level=config("LOGLEVEL", default=logging.INFO))
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settings = {}
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if config('ch_timeout', cast=int, default=-1) > 0:
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logging.info(f"CH-max_execution_time set to {config('ch_timeout')}s")
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settings = {**settings, "max_execution_time": config('ch_timeout', cast=int)}
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if config('ch_receive_timeout', cast=int, default=-1) > 0:
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logging.info(f"CH-receive_timeout set to {config('ch_receive_timeout')}s")
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settings = {**settings, "receive_timeout": config('ch_receive_timeout', cast=int)}
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class ClickHouseClient:
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__client = None
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def __init__(self):
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self.__client = clickhouse_driver.Client(host=config("ch_host"),
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database="default",
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port=config("ch_port", cast=int),
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user=config("ch_user", cast=str),
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password=config("ch_password", cast=str),
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settings=settings) \
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if self.__client is None else self.__client
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def __enter__(self):
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return self
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def execute(self, query, params=None, **args):
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try:
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results = self.__client.execute(query=query, params=params, with_column_types=True, **args)
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keys = tuple(x for x, y in results[1])
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return [dict(zip(keys, i)) for i in results[0]]
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except Exception as err:
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logging.error("--------- CH QUERY EXCEPTION -----------")
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logging.error(self.format(query=query, params=params))
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logging.error("--------------------")
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raise err
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def insert(self, query, params=None, **args):
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return self.__client.execute(query=query, params=params, **args)
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def client(self):
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return self.__client
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def format(self, query, params):
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if params is None:
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return query
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return self.__client.substitute_params(query, params, self.__client.connection.context)
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def __exit__(self, *args):
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pass
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