16efb1316c
* feature(intelligent-search): Added API to connect to Llama.cpp in EC2 and filter the response into OR filters * updated sql to filter script and added init.sql for tables * feature(intelligent-search): Changed llama.cpp for llama in GPU now contained in API * Updated Dockerfile to use GPU and download LLM from S3 * Added link to facebook/research/llama * Updated Dockerfile * Updated requirements and Dockerfile base images * fixed minor issues: Not used variables, updated COPY and replace values * fix(intelligent-search): Fixed WHERE statement filter * feature(smart-charts): Added method to create charts using llama. style(intelligent-search): Changed names for attributes to match frontend format. fix(intelligent-search): Fixed vulnerability in requiments and small issues fix * Added some test before deploying the service * Added semaphore to handle concurrency --------- Co-authored-by: EC2 Default User <ec2-user@ip-10-0-2-226.eu-central-1.compute.internal>
58 lines
2.3 KiB
Python
58 lines
2.3 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, database=None):
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self.__client = clickhouse_driver.Client(host=config("ch_host"),
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database=database if database else config("ch_database",
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default="default"),
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user=config("ch_user", default="default"),
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password=config("ch_password", default=""),
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port=config("ch_port", cast=int),
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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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