import os import io import sys import requests import time import pandas as pd CLICKHOUSE_HOST = os.environ.get("CLICKHOUSE_HOST", "127.0.0.1") CLICKHOUSE_PORT_HTTP = os.environ.get("CLICKHOUSE_PORT_HTTP", "8123") CLICKHOUSE_SERVER_URL_STR = ( "http://" + ":".join(str(s) for s in [CLICKHOUSE_HOST, CLICKHOUSE_PORT_HTTP]) + "/" ) CLICKHOUSE_DATABASE = os.environ.get("CLICKHOUSE_DATABASE", "test") class ClickHouseClient: def __init__(self, host=CLICKHOUSE_SERVER_URL_STR): self.host = host def query( self, query, connection_timeout=1500, settings=dict(), binary_result=False ): NUMBER_OF_TRIES = 30 DELAY = 10 params = { "timeout_before_checking_execution_speed": 120, "max_execution_time": 6000, "database": CLICKHOUSE_DATABASE, } # Add extra settings to params params = {**params, **settings} for i in range(NUMBER_OF_TRIES): r = requests.post( self.host, params=params, timeout=connection_timeout, data=query ) if r.status_code == 200: return r.content if binary_result else r.text else: print("ATTENTION: try #%d failed" % i) if i != (NUMBER_OF_TRIES - 1): print(query) print(r.text) time.sleep(DELAY * (i + 1)) else: raise ValueError(r.text) def query_return_df(self, query, connection_timeout=1500): data = self.query(query, connection_timeout) df = pd.read_csv(io.StringIO(data), sep="\t") return df def query_with_data(self, query, data, connection_timeout=1500, settings=dict()): params = { "query": query, "timeout_before_checking_execution_speed": 120, "max_execution_time": 6000, "database": CLICKHOUSE_DATABASE, } headers = {"Content-Type": "application/binary"} # Add extra settings to params params = {**params, **settings} r = requests.post( self.host, params=params, timeout=connection_timeout, data=data, headers=headers, ) result = r.text if r.status_code == 200: return result else: raise ValueError(r.text)