From 6567959b5723ec4815739e4a6fd0f23ccbf7e614 Mon Sep 17 00:00:00 2001
From: Joshua <138818689+francojoshua@users.noreply.github.com>
Date: Wed, 19 Jul 2023 11:30:59 -0400
Subject: [PATCH 1/2] Add __get_date_count and __get_date_chart

---
 read_log.py | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)

diff --git a/read_log.py b/read_log.py
index 4ea23e7..4207291 100644
--- a/read_log.py
+++ b/read_log.py
@@ -2,6 +2,7 @@
 from datetime import datetime
 
 import pandas as pd
+from matplotlib import pyplot as plt
 
 methods = ["GET", "HEAD", "POST", "PUT", "DELETE", "OPTIONS", "TRACE", "PATCH"]
 pattern = r'^([\d.]+) - - \[([^]]+)\] "([^"]*)" (\d+) (\d+) "([^"]*)" "([^"]*)" "-"$'
@@ -43,3 +44,27 @@
             print("No match found.")
 
 df = pd.DataFrame(data)
+
+
+def __get_date_count(df):
+    # Create a frequency of days and requests (e.g. datetime.date(2022, 5, 16): 12337
+    return df["date"].apply(lambda dt: dt.date()).value_counts().sort_index()
+
+
+def __get_date_chart(df):
+    """
+    Create a chart that will showcase the amount of requests per day.
+    """
+    frequencies = __get_date_count(df)
+
+    # Create the bar chart
+    plt.bar(frequencies.index, frequencies.values)
+    plt.xlabel("Date")
+    plt.ylabel("Number of Requests")
+    plt.title("Number of Requests per Day")
+    plt.xticks(rotation=45)
+
+    # Display the chart
+    plt.margins(0.05)
+    plt.tight_layout()
+    plt.show()

From 208807f57382e04430723fd84ec6a02bba0fc753 Mon Sep 17 00:00:00 2001
From: Joshua <138818689+francojoshua@users.noreply.github.com>
Date: Wed, 19 Jul 2023 15:54:40 -0400
Subject: [PATCH 2/2] Move functions up

---
 read_log.py | 49 +++++++++++++++++++++++++------------------------
 1 file changed, 25 insertions(+), 24 deletions(-)

diff --git a/read_log.py b/read_log.py
index 4207291..6226d3a 100644
--- a/read_log.py
+++ b/read_log.py
@@ -4,6 +4,31 @@
 import pandas as pd
 from matplotlib import pyplot as plt
 
+
+def __get_date_count(df):
+    # Create a frequency of days and requests (e.g. datetime.date(2022, 5, 16): 12337
+    return df["date"].apply(lambda dt: dt.date()).value_counts().sort_index()
+
+
+def __get_date_chart(df):
+    """
+    Create a chart that will showcase the amount of requests per day.
+    """
+    frequencies = __get_date_count(df)
+
+    # Create the bar chart
+    plt.bar(frequencies.index, frequencies.values)
+    plt.xlabel("Date")
+    plt.ylabel("Number of Requests")
+    plt.title("Number of Requests per Day")
+    plt.xticks(rotation=45)
+
+    # Display the chart
+    plt.margins(0.05)
+    plt.tight_layout()
+    plt.show()
+
+
 methods = ["GET", "HEAD", "POST", "PUT", "DELETE", "OPTIONS", "TRACE", "PATCH"]
 pattern = r'^([\d.]+) - - \[([^]]+)\] "([^"]*)" (\d+) (\d+) "([^"]*)" "([^"]*)" "-"$'
 
@@ -44,27 +69,3 @@
             print("No match found.")
 
 df = pd.DataFrame(data)
-
-
-def __get_date_count(df):
-    # Create a frequency of days and requests (e.g. datetime.date(2022, 5, 16): 12337
-    return df["date"].apply(lambda dt: dt.date()).value_counts().sort_index()
-
-
-def __get_date_chart(df):
-    """
-    Create a chart that will showcase the amount of requests per day.
-    """
-    frequencies = __get_date_count(df)
-
-    # Create the bar chart
-    plt.bar(frequencies.index, frequencies.values)
-    plt.xlabel("Date")
-    plt.ylabel("Number of Requests")
-    plt.title("Number of Requests per Day")
-    plt.xticks(rotation=45)
-
-    # Display the chart
-    plt.margins(0.05)
-    plt.tight_layout()
-    plt.show()