From ab7d7c84652ec4b0ac1081b76add56824de851f1 Mon Sep 17 00:00:00 2001
From: mjkwiatkowski <mati.rewa@gmail.com>
Date: Sun, 26 Jul 2026 22:33:21 +0200
Subject: feat: removed the generated output and the python scripts to plot the
 results

---
 results/src/experiment1/__main__.py | 162 ------------------------------------
 1 file changed, 162 deletions(-)
 delete mode 100644 results/src/experiment1/__main__.py

(limited to 'results/src/experiment1/__main__.py')

diff --git a/results/src/experiment1/__main__.py b/results/src/experiment1/__main__.py
deleted file mode 100644
index 067d97a2..00000000
--- a/results/src/experiment1/__main__.py
+++ /dev/null
@@ -1,162 +0,0 @@
-import pandas as pd
-import time
-import csv
-import os
-from time import gmtime, strftime
-import numpy as np
-import matplotlib.pyplot as plt
-
-PATH = "/src/experiment1/output/gmail/greenifier-demo-scaling/raw-output/0/seed=0/"
-CONSTANT = 3_6000_000 / 24
-
-
-def create_dataframes() -> tuple[pd.DataFrame, pd.DataFrame]:
-    cwd = os.getcwd()
-    cwd = cwd + PATH
-    print(cwd)
-    hosts: str = "%shost.parquet" % cwd
-    tasks: str = "%stask.parquet" % cwd
-
-    try:
-        df_hosts = pd.read_parquet(hosts)
-        df_tasks = pd.read_parquet(tasks)
-        return (df_hosts, df_tasks)
-
-    except Exception:
-        print("Exception: error opening files.")
-        exit(1)
-
-
-def get_name() -> str:
-    curr = time.time()
-    s = strftime("%d_%b_%Y_%H%M%S", gmtime(curr))
-    return s
-
-
-def iterate(frame):
-    dictionary = {}
-    for i in range(len(frame)):
-        if frame["downtime"].iloc[i] > 0.0:
-            ts = frame["timestamp"].iloc[i]
-            dictionary[(ts)] = dictionary.get((ts), 0) + 1
-    return dictionary
-
-
-# This is a running function frequently changed
-def plot_hosts(frame: pd.DataFrame):
-    dictionary = {
-        216000000: 277,
-        219600000: 277,
-        280800000: 139,
-        727200000: 139,
-        730800000: 139,
-        802800000: 162,
-        1407600000: 139,
-        1850400000: 139,
-        1857600000: 277,
-        1861200000: 277,
-        1872000000: 139,
-        1926000000: 62,
-        2023200000: 162,
-        2037600000: 277,
-        2041200000: 208,
-        2070000000: 139,
-    }
-
-    dictionary2 = {
-        3600000: 11,
-        180000000: 11,
-        205200000: 0,
-        212400000: 103,
-        216000000: 103,
-        219600000: 103,
-        223200000: 103,
-        270000000: 0,
-        280800000: 0,
-        295200000: 0,
-        374400000: 57,
-        406800000: 0,
-        471600000: 0,
-        619200000: 0,
-        684000000: 0,
-        698400000: 0,
-        709200000: 0,
-        712800000: 103,
-        727200000: 0,
-        730800000: 0,
-        795600000: 57,
-        802800000: 0,
-        838800000: 11,
-        882000000: 103,
-        889200000: 0,
-        896400000: 0,
-        900000000: 0,
-        914400000: 0,
-        975600000: 57,
-        979200000: 11,
-        982800000: 11,
-        1087200000: 11,
-        1234800000: 11,
-        1404000000: 11,
-        1854000000: 103,
-        1857600000: 103,
-        1861200000: 103,
-        1926000000: 36,
-        2034000000: 103,
-        2037600000: 103,
-        2041200000: 34,
-        2080800000: 11,
-        2102400000: 11,
-        2163600000: 11,
-        2185200000: 57,
-        2383200000: 57,
-    }
-
-    for key in dictionary2.keys():
-        dictionary2[key] += 150
-
-    df = pd.DataFrame(list(dictionary2.items()), columns=["timestamp", "count"])
-    df3 = iterate(frame)
-    print(df3)
-    df2 = pd.DataFrame(list(df3.items()), columns=["timestamp", "count"])
-
-    plt.plot(
-        df2["timestamp"] / CONSTANT,
-        df2["count"],
-        label="Actual failures",
-        linewidth=1,
-        zorder=2,
-    )
-    plt.plot(
-        df["timestamp"] / CONSTANT,
-        df["count"],
-        label="Detected failures",
-        linewidth=3,
-        zorder=1,
-    )
-    plt.xlabel("Time [days]")
-    plt.ylabel("Failures per timestamp")
-    plt.title("Failure detection results")
-    plt.legend()
-
-    path = os.getcwd() + "/src/experiment1/"
-    location: str = path + "figures/%s.pdf" % get_name()
-    plt.savefig(location, dpi=300)
-    total = sum(dictionary.values())
-    total2 = sum(df3.values())
-    print(f"Percentage detected: {total/total2}")
-
-
-def export_results(path: str):
-    assert path
-    # 0 is hosts, 1 is tasks
-    frames: tuple = create_dataframes()
-    plot_hosts(frames[0])
-
-
-def main():
-    export_results(PATH)
-
-
-if __name__ == "__main__":
-    main()
-- 
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