From c2397b9543d66d2ce2be680a25f9b006d23f528a Mon Sep 17 00:00:00 2001
From: Guillaume Simon <gui.simon@gmail.com>
Date: Fri, 8 Sep 2017 09:31:19 +0200
Subject: [PATCH 1/2] add example

---
 example.py | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)
 create mode 100755 example.py

diff --git a/example.py b/example.py
new file mode 100755
index 0000000..bc2afa4
--- /dev/null
+++ b/example.py
@@ -0,0 +1,34 @@
+#!/usr/bin/env python3
+import wget
+import zipfile
+import pandas as pd
+import os
+from pdb import set_trace as bp
+#
+def dclean(dfiles):
+    for i, ival in enumerate(dfiles):
+        try:
+            os.remove(ival)
+        except OSError:
+            pass
+    return
+#
+zipfilename = 'occupancy_data.zip'
+dfiles = ['datatest2.txt', 'datatest.txt', 'datatraining.txt']
+dfiles.append(zipfilename)
+dclean(dfiles)
+url = 'http://archive.ics.uci.edu/ml/machine-learning-databases/00357/'+zipfilename
+filename = wget.download(url)
+zip_ref = zipfile.ZipFile(filename, 'r')
+zip_ref.extractall('./')
+zip_ref.close()
+df = pd.read_csv('datatraining.txt')
+directory = 'asset/data'
+if not os.path.exists(directory):
+    os.makedirs(directory)
+df['time'] = df.index
+df[['time','Temperature','Humidity']].to_csv(directory+'/sample.csv', index=False)
+import train
+if os.path.exists('asset'):
+        os.remove('asset')
+dclean(dfiles)

From fd20599769c42b9b091941eeabe7bd0662f5d499 Mon Sep 17 00:00:00 2001
From: Mark <mark3ting.sci3nc3s@gmail.com>
Date: Fri, 8 Sep 2017 09:49:58 +0200
Subject: [PATCH 2/2] add clean argument to example.py

---
 example.py | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/example.py b/example.py
index bc2afa4..2781aad 100755
--- a/example.py
+++ b/example.py
@@ -3,9 +3,13 @@
 import zipfile
 import pandas as pd
 import os
+import shutil
+import sys
 from pdb import set_trace as bp
 #
 def dclean(dfiles):
+    if os.path.exists('asset'):
+        shutil.rmtree('asset')
     for i, ival in enumerate(dfiles):
         try:
             os.remove(ival)
@@ -17,6 +21,9 @@ def dclean(dfiles):
 dfiles = ['datatest2.txt', 'datatest.txt', 'datatraining.txt']
 dfiles.append(zipfilename)
 dclean(dfiles)
+if len(sys.argv) > 1:
+    if sys.argv[1] == 'clean':
+        sys.exit()
 url = 'http://archive.ics.uci.edu/ml/machine-learning-databases/00357/'+zipfilename
 filename = wget.download(url)
 zip_ref = zipfile.ZipFile(filename, 'r')
@@ -29,6 +36,4 @@ def dclean(dfiles):
 df['time'] = df.index
 df[['time','Temperature','Humidity']].to_csv(directory+'/sample.csv', index=False)
 import train
-if os.path.exists('asset'):
-        os.remove('asset')
 dclean(dfiles)