From 2e7c6e8d937a7d4beffb9a670a304833cb3814d2 Mon Sep 17 00:00:00 2001
From: RoiArthurB <contact@arthurbrugiere.fr>
Date: Wed, 17 Feb 2021 16:07:11 +0700
Subject: [PATCH] [TOOL] Add autoHeatmap alpha script

---
 tools/autoHeatmap.py | 147 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 147 insertions(+)
 create mode 100644 tools/autoHeatmap.py

diff --git a/tools/autoHeatmap.py b/tools/autoHeatmap.py
new file mode 100644
index 0000000..7829be8
--- /dev/null
+++ b/tools/autoHeatmap.py
@@ -0,0 +1,147 @@
+#!/usr/bin/python3
+
+##################################################
+## Python script to generate heatmaps
+#
+## $ python3 generateJavaConfFile.py -h
+#
+##################################################
+## Author: RoiArthurB
+## Copyright: Copyright 2020, COMOKIT, COMOKIT-HPC
+## Licence: LGPL 3.0
+## Version: 1.0.0
+## Maintainer: RoiArthurB
+##################################################
+
+import os
+import argparse
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+import csv
+
+# 0 _ Get/Set parameters
+# 
+parser = argparse.ArgumentParser(usage='$ python3 %(prog)s [options]')
+# CSV
+parser.add_argument('-f', '--folder', metavar='', help="Folder from where scrapping CSV files", default="./", type=str)
+parser.add_argument('-e', '--exclude', metavar='', help="List of variable to exclude", nargs='+', type=str)
+# PNG
+parser.add_argument('-t', '--title', metavar='', help="Graph title", default="", type=str)
+parser.add_argument('-o', '--output', metavar='', help="Path and name of the output file [Default = './out']", default="./out", type=str)
+parser.add_argument('--csv', action='store_true', help='Save output as CSV file')
+# Script
+parser.add_argument('-m', '--mode', metavar='', help="[1: Final death number, 2: Last day death]", type=int, required=True)
+parser.add_argument('-q', '--quiet', action='store_true', help='Disable verbose')
+args = parser.parse_args()
+
+## Jupyter notebook CLI parameters
+#
+#args.folder = "/tmp/HeadlessComparison"
+#args.exclude = ["allow_transmission_building"]
+#
+
+
+# 1 _ Scrap CSV
+# 
+onlyfiles = [f for f in os.listdir(args.folder) if os.path.isfile(os.path.join(args.folder, f)) and ("csv" in f)]
+
+if not args.quiet:
+    print("Scrapped", len(onlyfiles), "csv files")
+
+
+# 2 _ Make DataFrame
+# 
+
+heatmap = pd.DataFrame()
+# Used in png
+label = {"x": "-1", "y": "-1"}
+
+for CSV in onlyfiles:
+    col = index = -1
+    variableExcluded = 0
+    # Check and create col/row in dataframe
+    for i in range(len(CSV.split("-"))):
+        val = CSV.split("-")[i].rsplit("_",1)
+        
+        # Eclude parameters from heatmap
+        if val[0] in args.exclude:
+            variableExcluded = variableExcluded +1
+            continue
+        else:
+            val=val[1].split(".csv")[0]
+        
+        # Add col
+        if (i == variableExcluded):
+            col = val
+            if not (val in heatmap.columns):
+                heatmap[val]=np.nan
+                # Set col variable name
+                if label["x"] == "-1":
+                    label["x"] = CSV.split("-")[i].rsplit("_",1)[0]
+        
+        # Add row
+        if (i == variableExcluded+1):
+            index = val
+            if not (val in heatmap.index):
+                heatmap=heatmap.append(pd.Series(name=val, dtype="float64"))
+                # Set row variable name
+                if label["y"] == "-1":
+                    label["y"] = CSV.split("-")[i].rsplit("_",1)[0]
+    
+    # Gather value
+    with open(os.path.join(args.folder,CSV), 'r') as f:
+        death = list(csv.reader(f))[-1]
+        if args.mode == 1:
+            heatmap[col][index] = np.float64(death[-1].split(", ")[-2])
+            
+        elif args.mode == 2:
+            previousDeath = np.float64(death[-1].split(", ")[-2])
+            day = len(death)
+            for step in reversed(death):
+                nbrDeath = np.float64(step.split(", ")[-2])
+                if nbrDeath < float(previousDeath):
+                    heatmap[col][index] = int(day/24)
+                    break
+                else:
+                    previousDeath = nbrDeath
+                    day = day - 1
+
+# Reorder row and col
+heatmap = heatmap.sort_index().sort_index(axis=1)
+if not args.quiet:
+    print("Heatmap generation done")
+
+# 3 _ Make heatmap
+# 
+
+# Saved CSV
+if args.csv:
+    pd.DataFrame(heatmap).to_csv(args.output + '.csv')
+    if not args.quiet:
+        print("CSV exported here: " + args.output + '.csv')
+
+# Displaying dataframe as an heatmap 
+plt.imshow(heatmap) 
+
+colorLabel = ""
+if args.mode == 1:
+    colorLabel="Number of death"
+if args.mode == 2:
+    colorLabel="Day of last death"
+plt.colorbar(label=colorLabel)
+
+# Assigning labels of x/y-axis 
+plt.title(args.title)
+plt.xlabel(label["x"])
+plt.ylabel(label["y"])
+plt.xticks(range(len(heatmap)), heatmap.columns) 
+plt.yticks(range(len(heatmap)), heatmap.index) 
+
+# Fit output graph
+plt.tight_layout()
+
+# Saved PNG
+plt.savefig(args.output + '.png')
+if not args.quiet:
+    print("PNG saved here: " + args.output + '.png')
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