def index():
if request.method == 'POST':
if 'file' not in request.files:
flash('No File Part')
return redirect(request.url)
file = request.files['file']
if file.filename == '':
flash('No selected File')
return redirect(request.url)
if file and allowed_filename(file.filename):
filename = secure_filename(file.filename)
filename_tokenized = file.filename.split('.')
if filename_tokenized[-1] == 'xlsx':
data = pd.read_excel(file)
else:
data = pd.read_csv(file)
#file.save(os.path.join(app.config['UPLOAD_FOLDER'],filename))
#print data.head(5)
cleaned_data = main(data)
#print "Data is all Cleaned"
#print "\\\\"
#print "Going to Classify the Data"
classified_dataframe = model(cleaned_data)
classified_dataframe.to_csv(filename_tokenized[0] + ".csv",
index=False,
encoding='utf-8')
return render_template('final.html', title='All Done')
return render_template('index.html', title='Predictor_App | Home')
def startProcess():
allPaths = []
args = []
if ent1.get() != "":
allPaths.append(ent1.get())
if ent2.get() != "":
allPaths.append(ent2.get())
if ent3.get() != "":
allPaths.append(ent3.get())
if ent4.get() != "":
allPaths.append(ent4.get())
if ent5.get() != "":
allPaths.append(ent5.get())
for path in allPaths:
args.append("-p")
args.append(path)
if filesVar.get() == True:
args.append("-f")
if verboseVar.get() == True:
args.append("-v")
if silentVar.get() == True:
args.append("-s")
if testonlyVar.get() == True:
args.append("-t")
args.append("-d")
args.append(numericBox.get())
old_stdout = sys.stdout
sys.stdout = mystdout = io.StringIO()
output = cleaner.main(args)
outEntry.insert(END, mystdout.getvalue())
sys.stdout = old_stdout
def cleaner():
print "cleaner function"
import cleaner
reload(cleaner)
cleaner.main()
__doc__ = """Run ingest logic for the server's database. This calls cleaner, pusher and dashViewer.""" # core user lib import cleaner import pusher import dashViewer as views # Python core import time import os cleaner.main() pusher.main() views.main() # TODO: after this call a git commit and push to update GitHub and let anyone see the latest data
filenames = [os.path.join(DATA_DIR, x) for x in os.listdir(DATA_DIR)
if not os.path.isdir(os.path.join(DATA_DIR,x))]
print(filenames)
cleaned_file_paths = []
for filename in filenames:
src = filename
dst = os.path.join(CLEAN_DIR, os.path.basename(filename))
cleaned_file_paths.append(dst)
args = ['tmp', src, dst]
if len(os.listdir(CLEAN_DIR)) < 3:
cleaner.main(args)
# aggregate into a single file
print("***** AGGREGATING *****")
final_data_file = os.path.join(CLEAN_DIR, "simple.txt")
if not os.path.exists(final_data_file):
with open(final_data_file, 'w', encoding='utf8') as all_data_file:
for clean_file in tqdm(cleaned_file_paths):
with open(clean_file, 'r', encoding='utf8') as individual_data_file:
lines = individual_data_file.readlines()
# truncate to some random 50 lines
start_point = random.randint(0, len(lines))
end_point = start_point + 50
lines = lines[start_point:end_point]
all_data_file.writelines(lines)
def test_cleaner(self):
self.reset()
cleaner.main()
self.assertEquals(XmlSetBase.parse('upload-gold.xml'),
XmlSetBase.parse('upload-xml-test.xml'))
def scrubFile(self):
self.scrubStatusLabelText.set('Scrubbing...')
return self.scrubStatusLabelText.set(cleaner.main(self.directory, self.csvfile))
def main():
scraper.main()
parser.main()
cleaner.main()
word2vec.main()
randomize_batches.main()
def test_cleaner(self):
self.reset()
cleaner.main()
self.assertEquals(XmlSetBase.parse('upload-gold.xml'),
XmlSetBase.parse('upload-xml-test.xml'))
def clean_logs():
cleaner.main()
def scrubFile(self):
self.scrubStatusLabelText.set('Scrubbing...')
return self.scrubStatusLabelText.set(
cleaner.main(self.directory, self.csvfile))