Blocking-JavaScript-without-Breaking-the-Web/requestCountBarPlots.py at main · hadiamjad/Blocking-JavaScript-without-Breaking-the-Web · GitHub

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import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
import sys
from urllib.parse import urlparse
import os


def checkResExist(df, request_id):
    return request_id in df["request_id"].values


def getInitiatorURL(stack):
    if len(stack["callFrames"]) != 0:
        return stack["callFrames"][0]["url"]
    else:
        return getInitiatorURL(stack["parent"])


def extractDigits(lst):
    return list(map(lambda el: [el], lst))


def countRequests(experiment):
    df1 = pd.DataFrame(
        extractDigits(
            os.listdir("" + experiment + "/webpage-crawler-extension/server/output")
        ),
        columns=["website"],
    )
    fold = "" + experiment + "/webpage-crawler-extension/"
    tracking = 0
    functional = 0
    for j in df1.index:
        try:
            df = pd.read_json(
                fold + "server/output/" + df1["website"][j] + "/label_request.json"
            )
            res = pd.read_json(
                fold + "server/output/" + df1["website"][j] + "/responses.json",
                lines=True,
            )
            for i in df.index:
                if checkResExist(res, df["request_id"][i]):
                    if (
                        df["easylistflag"][i] == 1
                        or df["easyprivacylistflag"][i] == 1
                        or df["ancestorflag"][i] == 1
                    ):
                        tracking += 1
                    else:
                        functional += 1
        except:
            pass

    return tracking, functional


def countDistribution(experiment):
    df1 = pd.DataFrame(
        extractDigits(
            os.listdir("" + experiment + "/webpage-crawler-extension/server/output")
        ),
        columns=["website"],
    )
    fold = "" + experiment + "/webpage-crawler-extension/"
    tracking = 0
    functional = 0
    website = {}
    for j in df1.index:
        if df1["website"][j] not in website:
            website[df1["website"][j]] = [(0, 0), (0, 0)]
        try:
            df = pd.read_json(
                fold + "server/output/" + df1["website"][j] + "/label_request.json"
            )
            res = pd.read_json(
                fold + "server/output/" + df1["website"][j] + "/responses.json",
                lines=True,
            )
            for i in df.index:
                if checkResExist(res, df["request_id"][i]):
                    if (
                        df["easylistflag"][i] == 1
                        or df["easyprivacylistflag"][i] == 1
                        or df["ancestorflag"][i] == 1
                    ):
                        website[df1["website"][j]][0][0] += 1
                    else:
                        website[df1["website"][j]][0][1] += 1
            df = pd.read_json(
                "ALL/webpage-crawler-extension/server/output/"
                + df1["website"][j]
                + "/label_request.json"
            )
            for i in df.index:
                if (
                    df["easylistflag"][i] == 1
                    or df["easyprivacylistflag"][i] == 1
                    or df["ancestorflag"][i] == 1
                ):
                    website[df1["website"][j]][1][0] += 1
                else:
                    website[df1["website"][j]][1][0] += 1
        except:
            pass

    return tracking, functional


def main():
    if sys.argv[2] != "None":
        data = {
            "Control": countRequests("Control"),
            sys.argv[1]: countRequests(sys.argv[1]),
            sys.argv[2]: countRequests(sys.argv[2]),
        }
    else:
        data = {
            "Control": countRequests("Control"),
            sys.argv[1]: countRequests(sys.argv[1]),
        }
    # Create DataFrame
    df = pd.DataFrame(data.items(), columns=["experiment", "tracking, functional"])
    df[["tracking", "functional"]] = pd.DataFrame(
        df["tracking, functional"].tolist(), index=df.index
    )
    df = df[["experiment", "tracking", "functional"]]

    # Plot
    colors = ["#E11916", "#3FD72D"]
    ax = df.plot(
        kind="bar", x="experiment", y=["tracking", "functional"], color=colors, rot=0
    )
    ax.set_xlabel("Configuration")
    ax.set_ylabel("Requests Count")
    plt.show()
    plt.savefig("Figures/BarPlot.pdf")


main()