def display_a_question(question_id):
table = data_manager.read_csv('question.csv')
answer_table = data_manager.read_csv('answer.csv')
reverse_timeline = reversed(list(answer_table))
question_line = util.find_line(table, question_id, 0)
question_title = question_line[4]
question_msg = question_line[5]
answer_line = util.find_line(answer_table, question_id, 2)
answer = answer_line[4]
return render_template('display_a_question.html',
answer_table=reverse_timeline,
answer=answer,
line=answer_line,
table=table,
question_id=question_id,
title=question_title,
question_msg=question_msg)
def add_new_answer(question_id):
if request.method == 'GET':
return render_template('post_answers.html')
elif request.method == 'POST':
answers = data_manager.read_csv("answer.csv")
form = request.form.to_dict()
form_list = [
util.add_new_id(answers),
int(time.time()), 0, 0, form['post_answers'], answers, ''
]
answers.append(form_list)
data_manager.write_csv("answers.csv", answers)
return redirect('/list')
def add_question():
if request.method == "GET":
return render_template("ask_question.html")
elif request.method == "POST":
questions = data_manager.read_csv("question.csv")
form = request.form.to_dict()
form_list = [
util.add_new_id(questions),
int(time.time()), 0, 0, form['questiontitle'],
form['question_body'], ''
]
questions.append(form_list)
data_manager.write_csv("question.csv", questions)
return redirect("/")
def admin():
dict = data_manager.read_csv('Data/orders.csv')
fieldnames = ["Order ID","Product ID","Quantity","Total price","Currency"]
return render_template("admin.html", file=dict, fieldnames=fieldnames)
def products():
dict = data_manager.read_csv('Data/products.csv')
fieldnames = ["ID", "Product Name", "Product description", "Price", "Currency", "Available units"]
return render_template("products.html", file=dict, fieldnames=fieldnames)
import flask as flk
from flask import request,redirect,send_from_directory,Response
import json
import os
from data_manager import DataManager,read_csv
# import keras
# import keras.layers as layers
# import keras.models as models
app = flk.Flask(__name__)
data_manager = read_csv('processed_data.csv')
@app.route("/")
def index():
rows,_,ranked_list,random_list = data_manager.get_rows_and_list_page_for_list(1)
return flk.render_template("index.html",rows=rows,ranked_list=ranked_list.to_dict('records'),random_list=random_list.to_dict('records'))
@app.route("/aboutme")
def aboutme():
return flk.render_template("aboutme.html")
@app.route("/contact")
def contact():
return flk.render_template("contact.html")
@app.route("/film/<film_name>")
def anime_film(film_name):
title,genres,episodes,year,content,image_url = data_manager.get_anime_info_by_name(film_name)
return flk.render_template("anime-info.html",film_name=title,content=content,episodes=episodes,genres=genres,year=year,image_url=image_url)
def question_table():
table = data_manager.read_csv('question.csv')
reversed_table = reversed(table)
return render_template("list.html", table=reversed_table)