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colramos-amd
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################################################################################
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# Copyright (c) 2021 - 2022 Advanced Micro Devices, Inc. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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# THE SOFTWARE.
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################################################################################
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import argparse
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import collections
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import os
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import sys
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import re
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import pandas as pd
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import getpass
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from pymongo import MongoClient
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from tqdm import tqdm
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import shutil
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cache = dict()
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supported_arch = {"gfx906": "mi50", "gfx908": "mi100", "gfx90a": "mi200"}
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MAX_SERVER_SEL_DELAY = 5000 # 5 sec connection timeout
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def kernel_name_shortener(df, cache, level):
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if level >= 5:
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return df
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columnName = ""
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if "KernelName" in df:
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columnName = "KernelName"
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if "Name" in df:
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columnName = "Name"
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if columnName == "KernelName" or columnName == "Name":
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# loop through all indices
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for index in df.index:
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original_name = df.loc[index, columnName]
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if original_name in cache:
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continue
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# cache miss, add the shortened name to the dictionary
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new_name = ""
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matches = ""
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names_and_args = re.compile(r"(?P<name>[( )A-Za-z0-9_]+)([ ,*<>()]+)(::)?")
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# works for name Kokkos::namespace::init_lock_array_kernel_threadid(int) [clone .kd]
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if names_and_args.search(original_name):
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matches = names_and_args.findall(original_name)
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else:
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# Works for first case '__amd_rocclr_fillBuffer.kd'
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# remove .kd and then parse through original regex
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first_case = re.compile(r"([^\s]+)(.kd)")
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Mod_name_and_args = re.compile(r"(?P<name>[( )A-Za-z0-9_]+)([ ,*<>()]*)")
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interim_name = first_case.search(original_name).group(1)
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matches = Mod_name_and_args.findall(interim_name)
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current_level = 0
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for name in matches:
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##can cause errors if a function name or argument is equal to 'clone'
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if name[0] == "clone":
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continue
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if len(name) == 3:
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if name[2] == "::":
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continue
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if current_level < level:
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new_name += name[0]
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# closing '>' is to be taken account by the while loop
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if name[1].count(">") == 0:
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if current_level < level:
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if not (current_level == level - 1 and name[1].count("<") > 0):
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new_name += name[1]
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current_level += name[1].count("<")
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curr_index = 0
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# cases include '>' '> >, ' have to go in depth here to not lose account of commas and current level
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while name[1].count(">") > 0 and curr_index < len(name[1]):
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if current_level < level:
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new_name += name[1][curr_index:]
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current_level -= name[1][curr_index:].count(">")
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curr_index = len(name[1])
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elif name[1][curr_index] == (">"):
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current_level -= 1
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curr_index += 1
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cache[original_name] = new_name
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if new_name == None or new_name == "":
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cache[original_name] = original_name
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df[columnName] = df[columnName].map(cache)
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return df
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# Verify target directory and setup connection
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def parse(args, profileAndExport):
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host = args.host
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port = str(args.port)
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username = args.username
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Extractionlvl = args.kernelVerbose
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if profileAndExport:
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workload = args.workload + "/" + args.target + "/"
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else:
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workload = args.workload
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# Verify directory path is valid
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print("Pulling data from ", workload)
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if os.path.isdir(workload):
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print("The directory exists")
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else:
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raise argparse.ArgumentTypeError("Directory does not exist")
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sysInfoPath = workload + "/sysinfo.csv"
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if os.path.isfile(sysInfoPath):
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print("Found sysinfo file")
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sysInfo = pd.read_csv(sysInfoPath)
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# Extract SoC
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arch = sysInfo["gpu_soc"][0]
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soc = supported_arch[arch]
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# Extract name
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name = sysInfo["workload_name"][0]
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else:
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print("Unable to parse SoC or workload name from sysinfo.csv")
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sys.exit(1)
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db = "omniperf_" + args.team + "_" + name + "_" + soc
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if Extractionlvl >= 5:
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print("KernelName shortening disabled")
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else:
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print("KernelName shortening enabled")
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print("Kernel name verbose level:", Extractionlvl)
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if args.password == "":
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try:
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password = getpass.getpass()
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except Exception as error:
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print("PASSWORD ERROR", error)
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else:
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print("Password recieved")
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else:
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password = args.password
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if db.find(".") != -1 or db.find("-") != -1:
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raise ValueError("'-' and '.' are not permited in workload name", db)
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connectionInfo = {
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"username": username,
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"password": password,
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"host": host,
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"port": port,
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"workload": workload,
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"db": db,
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}
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return connectionInfo, Extractionlvl
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def convert_folder(connectionInfo, Extractionlvl):
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# Test connection
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connection_str = (
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"mongodb://"
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+ connectionInfo["username"]
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+ ":"
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+ connectionInfo["password"]
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+ "@"
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+ connectionInfo["host"]
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+ ":"
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+ connectionInfo["port"]
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+ "/?authSource=admin"
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)
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client = MongoClient(connection_str, serverSelectionTimeoutMS=MAX_SERVER_SEL_DELAY)
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try:
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client.server_info()
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except:
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print("ERROR: Unable to connect to the server")
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sys.exit(1)
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# Set up directories
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if Extractionlvl < 5:
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newfilepath = connectionInfo["workload"]
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newfilepath_h = newfilepath + "/renamedFiles/"
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if not os.path.exists(newfilepath_h):
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os.mkdir(newfilepath_h)
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newfilepath = newfilepath_h + connectionInfo["db"] + "/"
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if not os.path.exists(newfilepath):
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os.mkdir(newfilepath)
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# Upload files
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i = 0
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file = "blank"
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for file in tqdm(os.listdir(connectionInfo["workload"])):
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if file.endswith(".csv"):
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print(connectionInfo["workload"] + "/" + file)
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try:
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fileName = file[0 : file.find(".")]
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# Only shorten KernelNames if instructed to
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if Extractionlvl < 5:
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t1 = pd.read_csv(
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connectionInfo["workload"] + "/" + file,
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on_bad_lines="skip",
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engine="python",
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)
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t2 = kernel_name_shortener(t1, cache, level=Extractionlvl)
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df_saved_file = t2.to_csv(newfilepath + file)
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cmd = (
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'mongoimport --quiet --uri mongodb://{}:{}@{}:{} --authenticationDatabase "admin" --file {} -d {} -c {} --drop --type csv --headerline'
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).format(
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connectionInfo["username"],
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connectionInfo["password"],
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connectionInfo["host"],
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connectionInfo["port"],
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newfilepath + file,
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connectionInfo["db"],
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fileName,
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)
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os.system(cmd)
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else:
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cmd = (
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'mongoimport --quiet --uri mongodb://{}:{}@{}:{} --authenticationDatabase "admin" --file {} -d {} -c {} --drop --type csv --headerline'
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).format(
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connectionInfo["username"],
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connectionInfo["password"],
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connectionInfo["host"],
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connectionInfo["port"],
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connectionInfo["workload"] + "/" + file,
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connectionInfo["db"],
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fileName,
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)
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os.system(cmd)
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i += 1
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except pd.errors.EmptyDataError:
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print("Skipping empty csv " + file)
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mydb = client["workload_names"]
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mycol = mydb["names"]
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value = {"name": connectionInfo["db"]}
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newValue = {"name": connectionInfo["db"]}
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mycol.replace_one(value, newValue, upsert=True)
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# Remove tmp directory if we shortened KernelNames
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if Extractionlvl < 5:
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shutil.rmtree(newfilepath_h)
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print("{} collections added.".format(i))
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print("Workload name uploaded")
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