app.py

import os
from werkzeug.utils import secure_filename
from flask import Flask, flash, request, redirect, send_file, render_template, url_for
from analysis import analysis
from builddash import *


app = Flask(__name__)

# Configuration file
app.config.from_pyfile("config.cfg")


@app.route("/")
@app.route("/home")
def home():
    return render_template("index.html")  # return homepage of application


# check only .txt file format is allowed
def allowed_file(filename):
    return (
        "." in filename
        and filename.rsplit(".", 1)[1].lower() in app.config["ALLOWED_EXTENSION"]
    )


# UPLOAD METHOD
@app.route("/upload", methods=["GET", "POST"])
def upload():
    if request.method == "POST":

        if "file" not in request.files:
            return "file not found !!"

        file = request.files["file"]

        # if file is not uploaded
        if file.filename == "":
            return "No file passed"

        # check whether uploaded file have desired extention
        if file and allowed_file(file.filename):
            # if everything is fine then send the file to analyze funtion for further processing
            filename = secure_filename(file.filename)
            filepath = os.path.join(app.config["UPLOAD_FOLDER"], filename)
            file.save(filepath)
            return analyze(filepath, filename)

        else:
            return "<h2>Extension not allowed !!</h2>"

    return render_template("index.html")


# Function that converts the text file into csv file with relevant columns
@app.route("/analyze", methods=["GET"])
def analyze(filepath, filename):
    # TXT to CSV
    analysis(os.path.join(app.config["UPLOAD_FOLDER"], filename), filename)

    os.remove(os.path.join(app.config["UPLOAD_FOLDER"], filename))

    # Read CSV
    df = pd.read_csv(os.path.join("csvs", filename))

    # functions to get the facts/information about the data
    contacts = np.unique(df["Contacts"]).shape[0]
    pie(filename)
    most(filename)
    word(filename)
    week(filename)
    msgs = number_of_msgs(filename)
    member = number_of_unique_members(filename)
    sdate = start_date(filename)
    edate = end_date(filename)
    avg = average_length_msg(filename)[:4]
    maxl, name = max_length_msg(filename)
    month = month_busy(filename)
    day = weekday_busy(filename)

    # there is two types of dashboard is created on the basis of number of contacts in dataset
    if np.unique(df["Contacts"]).shape[0] > 5:
        least(filename)
        return render_template(
            "dash2.html",
            filename=filename,
            msgs=msgs,
            member=member,
            sdate=sdate,
            edate=edate,
            day=day,
            avg=avg,
            maxl=maxl,
            name=name,
            month=month,
        )
    else:
        return render_template(
            "dash1.html",
            filename=filename,
            msgs=msgs,
            member=member,
            sdate=sdate,
            edate=edate,
            day=day,
            avg=avg,
            maxl=maxl,
            name=name,
            month=month,
        )


# ABOUT section
@app.route("/about", methods=["GET"])
def about():
    return redirect("https://niteshrocks.github.io/ ")


# RUN Application
if __name__ == "__main__":
    app.run(debug=True)