##############################################################################bl
# MIT License
#
# Copyright (c) 2021 - 2023 Advanced Micro Devices, Inc. All Rights Reserved.
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# of this software and associated documentation files (the "Software"), to deal
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# The above copyright notice and this permission notice shall be included in all
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import argparse
import collections
import os
import subprocess
import sys
import re
import pandas as pd
import getpass
from pymongo import MongoClient
from tqdm import tqdm
import glob

cache = dict()

supported_arch = {"gfx906": "mi50", "gfx908": "mi100", "gfx90a": "mi200"}
MAX_SERVER_SEL_DELAY = 5000  # 5 sec connection timeout


def kernel_name_shortener(workload_dir, level):
    def shorten_file(df, level):
        global cache

        columnName = ""
        if "KernelName" in df:
            columnName = "KernelName"
        if "Name" in df:
            columnName = "Name"

        if columnName == "KernelName" or columnName == "Name":
            # loop through all indices
            for index in df.index:
                original_name = df.loc[index, columnName]
                if original_name in cache:
                    continue

                cmd = ["/opt/rocm/llvm/bin/llvm-cxxfilt", original_name]

                proc = subprocess.Popen(
                    cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE
                )

                demangled_name, e = proc.communicate()
                demangled_name = str(demangled_name, "UTF-8").strip()

                # cache miss, add the shortened name to the dictionary
                new_name = ""
                matches = ""

                names_and_args = re.compile(
                    r"(?P<name>[( )A-Za-z0-9_]+)([ ,*<>()]+)(::)?"
                )

                # works for name Kokkos::namespace::init_lock_array_kernel_threadid(int) [clone .kd]
                if names_and_args.search(demangled_name):
                    matches = names_and_args.findall(demangled_name)
                else:
                    # Works for first case  '__amd_rocclr_fillBuffer.kd'
                    cache[original_name] = new_name
                    if new_name == None or new_name == "":
                        cache[original_name] = demangled_name
                    continue

                current_level = 0
                for name in matches:
                    ##can cause errors if a function name or argument is equal to 'clone'
                    if name[0] == "clone":
                        continue
                    if len(name) == 3:
                        if name[2] == "::":
                            continue

                    if current_level < level:
                        new_name += name[0]
                    # closing '>' is to be taken account by the while loop
                    if name[1].count(">") == 0:
                        if current_level < level:
                            if not (
                                current_level == level - 1 and name[1].count("<") > 0
                            ):
                                new_name += name[1]
                        current_level += name[1].count("<")

                    curr_index = 0
                    # cases include '>'  '> >, ' have to go in depth here to not lose account of commas and current level
                    while name[1].count(">") > 0 and curr_index < len(name[1]):
                        if current_level < level:
                            new_name += name[1][curr_index:]
                            current_level -= name[1][curr_index:].count(">")
                            curr_index = len(name[1])
                        elif name[1][curr_index] == (">"):
                            current_level -= 1
                        curr_index += 1

                cache[original_name] = new_name
                if new_name == None or new_name == "":
                    cache[original_name] = demangled_name

            df[columnName] = df[columnName].map(cache)

        return df

    # Only shorten if valid shortening level
    if level < 5:
        for fpath in glob.glob(workload_dir + "/*.csv"):
            try:
                orig_df = pd.read_csv(
                    fpath,
                    on_bad_lines="skip",
                    engine="python",
                )
                modified_df = shorten_file(orig_df, level)
                modified_df.to_csv(fpath, index=False)
            except pd.errors.EmptyDataError:
                print("Skipping empty csv " + str(fpath))


# Verify target directory and setup connection
def parse(args, profileAndExport):
    host = args.host
    port = str(args.port)
    username = args.username
    Extractionlvl = args.kernelVerbose

    if profileAndExport:
        workload = args.workload + "/" + args.target + "/"
    else:
        workload = args.workload

    # Verify directory path is valid
    print("Pulling data from ", workload)
    if os.path.isdir(workload):
        print("The directory exists")
    else:
        raise argparse.ArgumentTypeError("Directory does not exist")

    sysInfoPath = workload + "/sysinfo.csv"
    if os.path.isfile(sysInfoPath):
        print("Found sysinfo file")
        sysInfo = pd.read_csv(sysInfoPath)
        # Extract SoC
        arch = sysInfo["gpu_soc"][0]
        soc = supported_arch[arch]
        # Extract name
        name = sysInfo["workload_name"][0]
    else:
        print("Unable to parse SoC or workload name from sysinfo.csv")
        sys.exit(1)

    db = "omniperf_" + str(args.team) + "_" + str(name) + "_" + soc

    if args.password == "":
        try:
            password = getpass.getpass()
        except Exception as error:
            print("PASSWORD ERROR", error)
        else:
            print("Password recieved")
    else:
        password = args.password

    if db.find(".") != -1 or db.find("-") != -1:
        raise ValueError("'-' and '.' are not permited in workload name", db)

    connectionInfo = {
        "username": username,
        "password": password,
        "host": host,
        "port": port,
        "workload": workload,
        "db": db,
    }

    return connectionInfo, Extractionlvl


def convert_folder(connectionInfo, Extractionlvl):
    # Test connection
    connection_str = (
        "mongodb://"
        + connectionInfo["username"]
        + ":"
        + connectionInfo["password"]
        + "@"
        + connectionInfo["host"]
        + ":"
        + connectionInfo["port"]
        + "/?authSource=admin"
    )
    client = MongoClient(connection_str, serverSelectionTimeoutMS=MAX_SERVER_SEL_DELAY)
    try:
        client.server_info()
    except:
        print("ERROR: Unable to connect to the server")
        sys.exit(1)

    i = 0
    file = "blank"
    for file in tqdm(os.listdir(connectionInfo["workload"])):
        if file.endswith(".csv"):
            print(connectionInfo["workload"] + "/" + file)
            try:
                fileName = file[0 : file.find(".")]
                cmd = (
                    "mongoimport --quiet --uri mongodb://{}:{}@{}:{}/{}?authSource=admin --file {} -c {} --drop --type csv --headerline"
                ).format(
                    connectionInfo["username"],
                    connectionInfo["password"],
                    connectionInfo["host"],
                    connectionInfo["port"],
                    connectionInfo["db"],
                    connectionInfo["workload"] + "/" + file,
                    fileName,
                )
                os.system(cmd)
                i += 1
            except pd.errors.EmptyDataError:
                print("Skipping empty csv " + file)

    mydb = client["workload_names"]
    mycol = mydb["names"]
    value = {"name": connectionInfo["db"]}
    newValue = {"name": connectionInfo["db"]}
    mycol.replace_one(value, newValue, upsert=True)
    print("{} collections added.".format(i))
    print("Workload name uploaded")