Automatische Generierung der Charts auf Basis des Time Tracking Tools

.gitignore

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+.env
+.DS_STORE

docs/04-timetracking/.example.env

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+KIMAI_API_TOKEN=<insert-token-here>

docs/04-timetracking/data/KW15.csv

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+Name;Duration
+"Benedict Weis";1.00
+"Justin Hubert";2.00
+"Henry Brink";1.93
+"Henry Brink";1.36
+"Henry Brink";.23
+"Justin Hubert";3.51
+"Justin Hubert";1.66
+"Luis Bernhardt";1.66
+"Benedict Weis";.33

docs/04-timetracking/data/KW16.csv

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+Name;Duration
+"Henry Brink";0
+"Benedict Weis";2.10
+"Henry Brink";.55
+"Henry Brink";.46
+"Ingo Neuse";1.16
+"Benedict Weis";.36

docs/04-timetracking/generate_charts.py

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+import os
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def csv_to_bar_chart(csv_file, x_column, y_column, save_path):
+    # Read CSV file into a DataFrame
+    data = pd.read_csv(csv_file, delimiter=";")
+
+    # Check if specified columns exist in the DataFrame
+    if x_column not in data.columns or y_column not in data.columns:
+        print(f"Error: Column '{x_column}' or '{y_column}' not found in {csv_file}")
+        return
+
+    # Extract data for x and y axis
+    x_data = data[x_column]
+    y_data = data[y_column]
+
+    # Extract filename without extension for title
+    file_name = os.path.splitext(os.path.basename(csv_file))[0]
+
+    # Plotting
+    plt.figure(figsize=(10, 6))
+    plt.bar(x_data, y_data, color='skyblue')
+
+    # Customize the chart
+    plt.title(file_name)
+    plt.xlabel(x_column)
+    plt.ylabel(y_column)
+    plt.xticks(rotation=45, ha='right')  # Rotate x-axis labels for better visibility
+
+    # Save plot as PNG file
+    plt.tight_layout()
+    plt.savefig(save_path, dpi=300)
+    plt.close()
+
+def plot_all_csv_files_in_folder(folder_path, x_column, y_column, output_folder):
+    # Create output folder if it does not exist
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+
+    # Iterate over all files in the folder
+    for file in os.listdir(folder_path):
+        if file.endswith('.csv'):
+            csv_file = os.path.join(folder_path, file)
+            output_file = os.path.splitext(file)[0] + '.png'  # Output file name with .png extension
+            save_path = os.path.join(output_folder, output_file)
+
+            print(f"Plotting data from {csv_file} and saving to {save_path}...")
+            csv_to_bar_chart(csv_file, x_column, y_column, save_path)
+            print("\n")
+
+# Example usage
+folder_path = 'data'    # Replace 'csv_folder' with your folder path containing CSV files
+output_folder = 'statistics' # Replace 'output_plots' with the folder where you want to save the plots
+x_column = 'Name'                # Replace 'X' with the column name for x-axis
+y_column = 'Duration'                # Replace 'Y' with the column name for y-axis
+
+plot_all_csv_files_in_folder(folder_path, x_column, y_column, output_folder)
+

docs/04-timetracking/get_data.sh

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+#!/usr/bin/env bash
+
+# Depends on jq
+
+BASE_URL="https://timetracking.henrybrink.de"
+PROJECT_ID="1"
+WEEKS=$(seq 15 26)
+OUTPUT_FOLDER=./data
+
+export "$(cat .env | xargs)"
+
+mkdir -p "$OUTPUT_FOLDER"
+
+TIME_RESPONSE=$(curl -s -X "GET" \
+    "$BASE_URL/api/timesheets?user=all&project=$PROJECT_ID&full=true" \
+    -H "accept: application/json" \
+    -H "Authorization: Bearer $KIMAI_API_TOKEN")
+
+
+for WEEK in $WEEKS; do
+    TIMES=$(jq --arg WEEK "$WEEK" '[.[] | select(.begin | strptime("%Y-%m-%dT%H:%M:%S%z") | strftime("%W") as $w|$w==$WEEK)]' <<< "$TIME_RESPONSE")
+
+    if [ "$(jq length <<< "$TIMES")" -eq 0 ]; then
+        continue
+    fi
+
+    FILE="$OUTPUT_FOLDER/KW$WEEK.csv"
+
+    echo "Name;Duration" > "$FILE"
+
+    echo "$TIMES" | jq -c '.[]' | while read -r ENTRY; do
+        NAME=$(jq '.user.alias' <<< "$ENTRY")
+        DURATION=$(jq '.duration' <<< "$ENTRY")
+
+        echo "$NAME;$(echo "scale=2; $DURATION / 3600" | bc)" >> "$FILE"
+
+    done
+done