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index.py
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index.py
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import os
from tablib import Dataset
import pandas
import pygal
from flask import Flask, flash, request, redirect, render_template
from werkzeug.utils import secure_filename
# uploads folder should be exesit
UPLOAD_FOLDER = os.path.join(os.path.dirname(__file__), 'uploads')
ALLOWED_EXTENSIONS = {'CSV','csv'}
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
app.secret_key = f'_5#y2L"F4Q8z\n\xec]/'
file_name = ""
dataset = Dataset()
@app.route('/')
def hello():
return render_template('home.html')
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
@app.route('/upload', methods=['POST', 'GET'])
def upload():
global file_name
if request.method == 'POST':
# check if the post request has the file part
if 'inputFile' not in request.files:
flash('No file part')
# print("Not inputFile")
return redirect(request.url)
file = request.files['inputFile']
# if user does not select file, browser also
# submit an empty part without filename
if file.filename == '':
# print("Not selected")
flash('No selected file')
return redirect(request.url)
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], str(filename)))
file_name = os.path.join(
app.config['UPLOAD_FOLDER'], str(filename))
return redirect("show")
else:
flash("That file don't allow to use ")
return render_template("home.html")
@app.route("/show")
def show():
global header
global data
global option
if file_name == "":
return redirect("/")
else:
with open(file_name, "r") as line:
dataset.csv = line.read()
data = dataset.html
option = ["mean","sum","max","min","count","median","std","var"]
header = open(file_name).readline().rstrip()
print(header)
if "," in header:
header = open(file_name).readline().rstrip().split(",")
elif " " in header:
header = open(file_name).readline().rstrip().split(" ")
elif "." in header:
header = open(file_name).readline().rstrip().split(".")
else:
flash("that header of file not support split ")
return redirect("/")
return render_template("show.html", lines=data, option=option, header=header)
@app.route("/analyze")
def analyze():
name = request.args.get("myselect")
option_var = request.args.get("myoption")
if name not in header:
flash("please select the header and option")
return redirect("/")
elif option_var not in option:
flash("option not found ")
return redirect("/")
df = pandas.read_csv(file_name)
try:
if option_var == "mean":
set_data = df[name].mean()
elif option_var == "sum":
set_data = df[name].sum()
elif option_var == "max":
set_data = df[name].max()
elif option_var == "count":
set_data = df[name].count()
elif option_var == "std":
set_data = df[name].std()
elif option_var == "var":
set_data = df[name].var()
elif option_var == "min":
set_data = df[name].min()
except:
flash("pleas make sure use the option with the valid header you can't use some option with string value !")
return redirect("/")
imported_data = Dataset().load(open(file_name).read())
data = imported_data[name]
new_list = []
for d in data:
try:
if d.isdigit():
new_list.append(int(d))
elif type(d) == str:
new_list.append(float(d))
except:
flash("this option only for Number")
return redirect("/")
graph = pygal.Line()
graph.title = "Full customization option For " + str(name)
graph.x_labels = []
graph.add(name, new_list)
graph_data = graph.render_data_uri()
return render_template("analyze.html", set_data=set_data, option_var=option_var, name=name, graph_data=graph_data)
if __name__ == "__main__":
app.run(debug=False)