From a7ebe0208e91c391ae0f97a5a1fa348b1f66e258 Mon Sep 17 00:00:00 2001 From: jasonbohne123 Date: Wed, 6 Sep 2023 21:33:41 -0400 Subject: [PATCH] clean up --- Example_Data_NB.ipynb | 152 ++++---------------------- data_preprocessing/get_data.py | 48 ++++----- run_jobs.py | 4 +- utils/backup_conda_env.py | 49 --------- utils/conda_install.py | 46 -------- utils/environment.yml | 70 ------------ utils/remove_dependencies.py | 46 -------- utils/usage.ipynb | 188 --------------------------------- 8 files changed, 44 insertions(+), 559 deletions(-) delete mode 100644 utils/backup_conda_env.py delete mode 100644 utils/conda_install.py delete mode 100644 utils/environment.yml delete mode 100644 utils/remove_dependencies.py delete mode 100644 utils/usage.ipynb diff --git a/Example_Data_NB.ipynb b/Example_Data_NB.ipynb index 6e17427..8359f6f 100644 --- a/Example_Data_NB.ipynb +++ b/Example_Data_NB.ipynb @@ -58,7 +58,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -81,7 +81,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -92,24 +92,24 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 13, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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"text/plain": [ - "
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" ] }, "metadata": {}, @@ -133,7 +133,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -164,7 +164,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -187,7 +187,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -198,16 +198,16 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 24, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, @@ -236,7 +236,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -259,7 +259,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -270,16 +270,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 27, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, @@ -308,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -333,118 +333,6 @@ "get_trades(symbols, start_date, end_date, row_limit)" ] }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "data1=pd.read_csv('data/trades_DIA_20200106-20200107.csv')\n", - "data1.head(5)\n", - "data1['Time']=pd.to_datetime(data1['Time'])\n", - "\n", - "data2=pd.read_csv('data/trades_AAPL_20200106-20200107.csv')\n", - "data2.head(5)\n", - "data2['Time']=pd.to_datetime(data2['Time'])\n", - "\n", - "data3=pd.read_csv('data/trades_AMC_20200106-20200107.csv')\n", - "data3.head(5)\n", - "data3['Time']=pd.to_datetime(data3['Time'])" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax=plt.subplots(figsize=(14,10))\n", - "ax.plot(data1['Time'],data1['Trade_Price'],marker='*')" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,ax=plt.subplots(figsize=(14,10))\n", - "ax.plot(data3['Time'],data3['Trade_Price'],marker='*')" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -454,7 +342,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [ { diff --git a/data_preprocessing/get_data.py b/data_preprocessing/get_data.py index 5e6f1d2..8f3365a 100644 --- a/data_preprocessing/get_data.py +++ b/data_preprocessing/get_data.py @@ -1,7 +1,9 @@ +import os + import paramiko -from scp import SCPClient from dotenv import load_dotenv -import os +from scp import SCPClient + def get_trades(symbols, start_date, end_date, row_limit): # load the contents of the .env file into the environment @@ -28,26 +30,23 @@ def get_trades(symbols, start_date, end_date, row_limit): python3 trade_server_helpers.py "{db_user}" "{db_pass}" "{symbol}" "{start_date}" "{end_date}" "{row_limit}"' stdin, stdout, stderr = ssh.exec_command(command) - - print(f"Output for symbol {symbol}:") for line in stdout: - print('... ' + line.strip('\n')) + print("... " + line.strip("\n")) print(f"Errors for symbol {symbol}:") for line in stderr: - print('... ' + line.strip('\n')) + print("... " + line.strip("\n")) # SCPCLient takes a paramiko transport as an argument scp = SCPClient(ssh.get_transport()) # fetch the remote file 'trade_results.csv' from the directory 'TAQNYSE-Clickhouse' # and save it to the data directory in the pipelines folder - local_file_path = f'../data/trades_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' + local_file_path = f'data/trades_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' os.makedirs(os.path.dirname(local_file_path), exist_ok=True) - local_file_path = f'data/trades_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' - os.makedirs(os.path.dirname(local_file_path), exist_ok=True) - scp.get('TAQNYSE-Clickhouse/trade_results.csv', local_file_path) + + scp.get("TAQNYSE-Clickhouse/trade_results.csv", local_file_path) except Exception as e: print(f"An error occurred: {e}") @@ -58,6 +57,7 @@ def get_trades(symbols, start_date, end_date, row_limit): scp.close() ssh.close() + def get_quotes(symbols, start_date, end_date, row_limit): # load the contents of the .env file into the environment load_dotenv() @@ -66,8 +66,8 @@ def get_quotes(symbols, start_date, end_date, row_limit): host = os.getenv("host") server_user = os.getenv("server_user") server_password = os.getenv("server_password") - db_user = os.getenv("db_user") - db_pass = os.getenv("db_pass") + os.getenv("db_user") + os.getenv("db_pass") ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) @@ -85,11 +85,11 @@ def get_quotes(symbols, start_date, end_date, row_limit): print(f"Output for symbol {symbol}:") for line in stdout: - print('... ' + line.strip('\n')) + print("... " + line.strip("\n")) print(f"Errors for symbol {symbol}:") for line in stderr: - print('... ' + line.strip('\n')) + print("... " + line.strip("\n")) # SCPCLient takes a paramiko transport as an argument scp = SCPClient(ssh.get_transport()) @@ -98,10 +98,7 @@ def get_quotes(symbols, start_date, end_date, row_limit): # and save it to the data directory in the pipelines folder local_file_path = f'data/quotes_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' os.makedirs(os.path.dirname(local_file_path), exist_ok=True) - local_file_path = f'data/quotes_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' - os.makedirs(os.path.dirname(local_file_path), exist_ok=True) - scp.get('TAQNYSE-Clickhouse/quote_results.csv', local_file_path) - + scp.get("TAQNYSE-Clickhouse/quote_results.csv", local_file_path) except Exception as e: print(f"An error occurred: {e}") @@ -112,6 +109,7 @@ def get_quotes(symbols, start_date, end_date, row_limit): scp.close() ssh.close() + def get_ref(symbols, start_date, end_date, row_limit): # load the contents of the .env file into the environment load_dotenv() @@ -120,8 +118,8 @@ def get_ref(symbols, start_date, end_date, row_limit): host = os.getenv("host") server_user = os.getenv("server_user") server_password = os.getenv("server_password") - db_user = os.getenv("db_user") - db_pass = os.getenv("db_pass") + os.getenv("db_user") + os.getenv("db_pass") ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) @@ -139,11 +137,11 @@ def get_ref(symbols, start_date, end_date, row_limit): print(f"Output for symbol {symbol}:") for line in stdout: - print('... ' + line.strip('\n')) + print("... " + line.strip("\n")) print(f"Errors for symbol {symbol}:") for line in stderr: - print('... ' + line.strip('\n')) + print("... " + line.strip("\n")) # SCPCLient takes a paramiko transport as an argument scp = SCPClient(ssh.get_transport()) @@ -152,9 +150,7 @@ def get_ref(symbols, start_date, end_date, row_limit): # and save it to the data directory in the pipelines folder local_file_path = f'data/ref_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' os.makedirs(os.path.dirname(local_file_path), exist_ok=True) - local_file_path = f'data/ref_{symbol}_{start_date.replace("-", "")}-{end_date.replace("-", "")}.csv' - os.makedirs(os.path.dirname(local_file_path), exist_ok=True) - scp.get('TAQNYSE-Clickhouse/refdata_results.csv', local_file_path) + scp.get("TAQNYSE-Clickhouse/refdata_results.csv", local_file_path) except Exception as e: print(f"An error occurred: {e}") @@ -163,4 +159,4 @@ def get_ref(symbols, start_date, end_date, row_limit): if scp is not None: # close the SCP session scp.close() - ssh.close() \ No newline at end of file + ssh.close() diff --git a/run_jobs.py b/run_jobs.py index 13c5903..b9a48d6 100644 --- a/run_jobs.py +++ b/run_jobs.py @@ -4,7 +4,7 @@ import pandas as pd -from data_preprocessing.get_data import get_quotes, get_reference_data, get_trades +from data_preprocessing.get_data import get_quotes, get_ref, get_trades def run_jobs(symbol: str, start_date: str, end_date: str, row_limit=1000000): @@ -24,7 +24,7 @@ def run_jobs(symbol: str, start_date: str, end_date: str, row_limit=1000000): # To-DO: create get-reference-data function # load data - get_reference_data(symbol, start_date, end_date, row_limit) + get_ref(symbol, start_date, end_date, row_limit) get_trades(symbol, start_date, end_date, row_limit) get_quotes(symbol, start_date, end_date, row_limit) diff --git a/utils/backup_conda_env.py b/utils/backup_conda_env.py deleted file mode 100644 index 5d89596..0000000 --- a/utils/backup_conda_env.py +++ /dev/null @@ -1,49 +0,0 @@ - -import paramiko -from scp import SCPClient -from dotenv import load_dotenv -import os - -def backup_conda_environment(): - # load the contents of the .env file into the environment - load_dotenv() - - # read the credentials from the environment variables - host = os.getenv("host") - server_user = os.getenv("server_user") - server_password = os.getenv("server_password") - - ssh = paramiko.SSHClient() - ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) - - scp = None - - try: - ssh.connect(host, username=server_user, password=server_password) - - # Execute a command to backup the conda environment to a .yml file - command = f'source /opt/anaconda3/etc/profile.d/conda.sh && conda activate query_user && conda env export > environment.yml' - stdin, stdout, stderr = ssh.exec_command(command) - - # Wait for the command to complete - stdout.channel.recv_exit_status() - - # SCPCLient takes a paramiko transport as an argument - scp = SCPClient(ssh.get_transport()) - - # fetch the remote file 'environment.yml' (conda environment backup) - scp.get('environment.yml', 'environment.yml') - - print("Conda environment backed up and downloaded successfully.") - - except Exception as e: - print(f"An error occurred: {e}") - - finally: - if scp is not None: - # close the SCP session - scp.close() - ssh.close() - -# Call the function to backup and download the conda environment -backup_conda_environment() diff --git a/utils/conda_install.py b/utils/conda_install.py deleted file mode 100644 index 4dd37ba..0000000 --- a/utils/conda_install.py +++ /dev/null @@ -1,46 +0,0 @@ -import paramiko -from scp import SCPClient -from dotenv import load_dotenv -import os - -def install_conda_environment(): - # load the contents of the .env file into the environment - load_dotenv() - - # read the credentials from the environment variables - host = os.getenv("host") - server_user = os.getenv("server_user") - server_password = os.getenv("server_password") - - ssh = paramiko.SSHClient() - ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) - - scp = None - - try: - ssh.connect(host, username=server_user, password=server_password) - - # Upload the local file 'environment.yml' to the server - scp = SCPClient(ssh.get_transport()) - scp.put('environment.yml', 'environment.yml') - - # Execute a command to install the conda environment from the .yml file - command = 'source /opt/anaconda3/etc/profile.d/conda.sh && conda env create -f environment.yml' - stdin, stdout, stderr = ssh.exec_command(command) - - # Wait for the command to complete - stdout.channel.recv_exit_status() - - print("Conda environment installed successfully.") - - except Exception as e: - print(f"An error occurred: {e}") - - finally: - if scp is not None: - # close the SCP session - scp.close() - ssh.close() - -# Call the function to install the conda environment -install_conda_environment() diff --git a/utils/environment.yml b/utils/environment.yml deleted file mode 100644 index 01c0cef..0000000 --- a/utils/environment.yml +++ /dev/null @@ -1,70 +0,0 @@ -name: query_user - -channels: - - anaconda - - conda-forge - - defaults -dependencies: - - _libgcc_mutex=0.1=main - - _openmp_mutex=5.1=1_gnu - - blas=1.0=mkl - - bzip2=1.0.8=h7b6447c_0 - - ca-certificates=2023.01.10=h06a4308_0 - - certifi=2023.7.22=pyhd8ed1ab_0 - - charset-normalizer=2.1.1=pyhd8ed1ab_0 - - clickhouse-sqlalchemy=0.2.2=pyhd8ed1ab_0 - - exchange-calendars=4.2.4=pyhd8ed1ab_0 - - idna=3.3=pyhd8ed1ab_0 - - intel-openmp=2021.4.0=h06a4308_3561 - - korean_lunar_calendar=0.3.1=pyhd8ed1ab_0 - - ld_impl_linux-64=2.38=h1181459_1 - - libffi=3.3=he6710b0_2 - - libgcc-ng=11.2.0=h1234567_1 - - libgomp=11.2.0=h1234567_1 - - libstdcxx-ng=11.2.0=h1234567_1 - - libuuid=1.0.3=h7f8727e_2 - - mkl=2021.4.0=h06a4308_640 - - mkl_fft=1.3.1=py310h2b4bcf5_1 - - mkl_random=1.2.2=py310h00e6091_0 - - ncurses=6.3=h5eee18b_3 - - numpy-base=1.23.1=py310hcba007f_0 - - openssl=1.1.1s=h7f8727e_0 - - packaging=21.3=pyhd8ed1ab_0 - - pandas_market_calendars=4.1.3=pyhd8ed1ab_0 - - pip=23.2.1=pyhd8ed1ab_0 - - pycparser=2.21=pyhd8ed1ab_0 - - pyluach=2.0.2=pyhd8ed1ab_0 - - pyopenssl=22.0.0=pyhd8ed1ab_0 - - pyparsing=3.0.9=pyhd8ed1ab_0 - - pysocks=1.7.1=pyha2e5f31_6 - - python=3.10.4=h12debd9_0 - - python-dateutil=2.8.2=pyhd8ed1ab_0 - - python_abi=3.10=2_cp310 - - pytz=2022.2.1=pyhd8ed1ab_0 - - readline=8.1.2=h7f8727e_1 - - requests=2.28.1=pyhd8ed1ab_1 - - setuptools=68.1.2=pyhd8ed1ab_0 - - six=1.16.0=pyh6c4a22f_0 - - sqlite=3.39.2=h5082296_0 - - tk=8.6.12=h1ccaba5_0 - - toolz=0.12.0=pyhd8ed1ab_0 - - tzdata=2022a=hda174b7_0 - - tzlocal=2.1=pyh9f0ad1d_0 - - urllib3=1.26.11=pyhd8ed1ab_0 - - wheel=0.37.1=pyhd3eb1b0_0 - - xz=5.2.5=h7f8727e_1 - - zlib=1.2.12=h7f8727e_2 - - pip: - - brotlipy==0.7.0 - - cffi==1.15.1 - - clickhouse-driver==0.2.3 - - configobj==5.0.8 - - cryptography==37.0.2 - - greenlet==1.1.2 - - mkl-fft==1.3.1 - - mkl-random==1.2.2 - - mkl-service==2.4.0 - - numpy==1.23.1 - - pandas==1.4.2 - - sqlalchemy==1.4.36 -prefix: /home/mhaggerty/.conda/envs/query_user diff --git a/utils/remove_dependencies.py b/utils/remove_dependencies.py deleted file mode 100644 index 3275e11..0000000 --- a/utils/remove_dependencies.py +++ /dev/null @@ -1,46 +0,0 @@ -import yaml - - -# remove all dependencies from the environment.yml file -def remove_specific_dependencies(env_file, dependencies_to_remove): - - # remove the dashes - with open(env_file, "r") as stream: - data_loaded = yaml.safe_load(stream) - - dependecy_list = [] - - # remove the dependencies - for dep_name in dependencies_to_remove: - for full_dep in data_loaded["dependencies"]: - if dep_name in full_dep: - dependecy_list.append(full_dep) - data_loaded["dependencies"].remove(full_dep) - - # add the remaining dependecies back - with open(env_file, "w") as stream: - yaml.dump(data_loaded, stream, default_flow_style=False) - - return - - -# python remove_dependencies.py -if __name__ == "__main__": - - dependecies_to_remove = [ - "libstdcxx-ng", - "nspr", - "libedit", - "ncurses", - "readline", - "dbus", - "libgcc-ng", - "libuuid", - "ld_impl_linux-64", - "libxkbcommon", - "nss", - "libgomp", - "_openmp_mutex", - ] - - remove_specific_dependencies("../environment.yml", dependecies_to_remove) diff --git a/utils/usage.ipynb b/utils/usage.ipynb deleted file mode 100644 index 46ef736..0000000 --- a/utils/usage.ipynb +++ /dev/null @@ -1,188 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Output for symbol AAPL:\n", - "Errors for symbol AAPL:\n", - "Output for symbol GOOG:\n", - "Errors for symbol GOOG:\n" - ] - } - ], - "source": [ - "from get_data import get_trades, get_quotes, get_ref\n", - "\n", - "# Define the symbols, start date, end date, and row limit\n", - "symbols = [\"AAPL\", \"GOOG\"]\n", - "start_date = \"2023-01-01\"\n", - "end_date = \"2023-01-30\"\n", - "row_limit = 1000\n", - "\n", - "# Get trades\n", - "get_trades(symbols, start_date, end_date, row_limit)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Output for symbol AAPL:\n", - "Errors for symbol AAPL:\n", - "Output for symbol GOOG:\n", - "Errors for symbol GOOG:\n" - ] - } - ], - "source": [ - "from get_data import get_trades, get_quotes, get_ref\n", - "\n", - "# Define the symbols, start date, end date, and row limit\n", - "symbols = [\"AAPL\", \"GOOG\"]\n", - "start_date = \"2023-01-01\"\n", - "end_date = \"2023-01-30\"\n", - "row_limit = 1000\n", - "\n", - "# Get quotes\n", - "get_quotes(symbols, start_date, end_date, row_limit)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Output for symbol AAPL:\n", - "Errors for symbol AAPL:\n", - "... Traceback (most recent call last):\n", - "... File \"/home/mhaggerty/TAQNYSE-Clickhouse/server_helpers/refdata_server_helpers.py\", line 230, in \n", - "... temp_connection = RefDataConnection(user, password, start.year, remote=True)\n", - "... File \"/home/mhaggerty/TAQNYSE-Clickhouse/server_helpers/refdata_server_helpers.py\", line 55, in __init__\n", - "... self.connection = self.engine.connect()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 3234, in connect\n", - "... return self._connection_cls(self, close_with_result=close_with_result)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 96, in __init__\n", - "... else engine.raw_connection()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 3313, in raw_connection\n", - "... return self._wrap_pool_connect(self.pool.connect, _connection)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 3280, in _wrap_pool_connect\n", - "... return fn()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/base.py\", line 310, in connect\n", - "... return _ConnectionFairy._checkout(self)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/base.py\", line 868, in _checkout\n", - "... fairy = _ConnectionRecord.checkout(pool)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/base.py\", line 476, in checkout\n", - "... rec = pool._do_get()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/impl.py\", line 145, in _do_get\n", - "... with util.safe_reraise():\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/util/langhelpers.py\", line 70, in __exit__\n", - "... compat.raise_(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/util/compat.py\", line 207, in raise_\n", - "... raise exception\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/impl.py\", line 143, in _do_get\n", - "... return self._create_connection()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/base.py\", line 256, in _create_connection\n", - "... return _ConnectionRecord(self)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/base.py\", line 371, in __init__\n", - "... self.__connect()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/pool/base.py\", line 679, in __connect\n", - "... )._exec_w_sync_on_first_run(self.dbapi_connection, self)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/event/attr.py\", line 329, in _exec_w_sync_on_first_run\n", - "... self(*args, **kw)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/event/attr.py\", line 343, in __call__\n", - "... fn(*args, **kw)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/util/langhelpers.py\", line 1691, in go\n", - "... return once_fn(*arg, **kw)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/create.py\", line 686, in first_connect\n", - "... dialect.initialize(c)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/base.py\", line 130, in initialize\n", - "... super(ClickHouseDialect, self).initialize(connection)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/default.py\", line 407, in initialize\n", - "... self.server_version_info = self._get_server_version_info(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/base.py\", line 423, in _get_server_version_info\n", - "... version = self._execute(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/http/base.py\", line 52, in _execute\n", - "... return f(sql, **kwargs)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 1188, in scalar\n", - "... return self.execute(object_, *multiparams, **params).scalar()\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 1306, in execute\n", - "... return meth(self, multiparams, params, _EMPTY_EXECUTION_OPTS)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/sql/elements.py\", line 325, in _execute_on_connection\n", - "... return connection._execute_clauseelement(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 1498, in _execute_clauseelement\n", - "... ret = self._execute_context(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 1862, in _execute_context\n", - "... self._handle_dbapi_exception(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 2047, in _handle_dbapi_exception\n", - "... util.raise_(exc_info[1], with_traceback=exc_info[2])\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/util/compat.py\", line 207, in raise_\n", - "... raise exception\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/sqlalchemy/engine/base.py\", line 1819, in _execute_context\n", - "... self.dialect.do_execute(\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/base.py\", line 411, in do_execute\n", - "... cursor.execute(statement, parameters, context=context)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/http/connector.py\", line 117, in execute\n", - "... self._process_response(response_gen)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/http/connector.py\", line 216, in _process_response\n", - "... self._columns = next(response, None)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/http/transport.py\", line 133, in execute\n", - "... r = self._send(query, params=params, stream=True)\n", - "... File \"/home/mhaggerty/anaconda3/envs/query_user/lib/python3.10/site-packages/clickhouse_sqlalchemy/drivers/http/transport.py\", line 179, in _send\n", - "... raise DatabaseException(orig)\n", - "... clickhouse_sqlalchemy.exceptions.DatabaseException: Orig exception: Code: 516. DB::Exception: mhaggerty: Authentication failed: password is incorrect or there is no user with such name. (AUTHENTICATION_FAILED) (version 22.1.3.7 (official build))\n", - "... \n", - "An error occurred: scp: TAQNYSE-Clickhouse/refdata_results.csv: No such file or directory\n" - ] - } - ], - "source": [ - "from get_data import get_trades, get_quotes, get_ref\n", - "\n", - "# Define the symbols, start date, end date, and row limit\n", - "symbols = [\"AAPL\", \"GOOG\"]\n", - "start_date = \"2023-01-01\"\n", - "end_date = \"2023-08-01\"\n", - "row_limit = 1000\n", - "\n", - "get_ref(symbols, start_date, end_date, row_limit)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "taq", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.9" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -}