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app.py
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app.py
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from flask import Flask, render_template, request, jsonify
import sqlalchemy as sql
from sqlalchemy.orm import Session
from sqlalchemy import create_engine
import pymysql
import json
import pandas as pd
from flask import Response
import os
################################################################
# Flask Setup and Database Connection #
################################################################
app = Flask(__name__)
SQLALCHEMY_DATABASE_URL = os.getenv("DB_CONN")
sql_engine = sql.create_engine(SQLALCHEMY_DATABASE_URL)
################################################################
# Flask Routes #
################################################################
@app.route("/")
def home():
return render_template("verification.html")
@app.route("/index.html")
def index():
return render_template("index.html")
# --------------------------------------------------------------#
# recommender routes #
# --------------------------------------------------------------#
@app.route("/recommender.html")
def recommender():
TABLENAME = "ba_beerstyles"
query = f"SELECT DISTINCT Category FROM {TABLENAME}"
df = pd.read_sql_query(query, sql_engine)
categories = df["Category"].tolist()
categories.insert(0, "Choose a Category")
return render_template("recommender.html", categories=categories)
# populate beerstyle dropdown - * Needs work(Dynamic Dropdown) *
@app.route("/beerstyle_names")
def beer_style():
TABLENAME = "ba_beerstyles"
query = f"SELECT DISTINCT Style FROM {TABLENAME}"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# populate beerstyle dropdown based upon Category input
@app.route("/beerstyle_filtered/<category>")
def beer_style_filtered(category):
TABLENAME = "ba_beerstyles"
query = f"SELECT Style FROM {TABLENAME} WHERE Category = '{category}'"
df = pd.read_sql_query(query, sql_engine)
df2 = pd.DataFrame({"Style": ["Select a Beer Style"]})
df = df2.append(df)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# selector for beerstyle for gaugechart
@app.route("/beerstyle/<beerstyle>")
def guagechart(beerstyle):
TABLENAME = "ba_beerstyles"
query = f"SELECT * FROM {TABLENAME} WHERE Style = '{beerstyle}'"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# route to display top 5 beer recommendations
@app.route("/recommender/<beerstyle>")
def selector(beerstyle):
TABLENAME1 = "top_5_beers"
TABLENAME2 = "final_beers"
query = f"select {TABLENAME2}.*, {TABLENAME1}.avg_rating, {TABLENAME1}.review_count from {TABLENAME2} cross join {TABLENAME1} on {TABLENAME1}.beer_id = {TABLENAME2}.beer_id where {TABLENAME1}.beer_style = '{beerstyle}'"
df = pd.read_sql_query(query, sql_engine)
isempty = df.empty
if isempty == True:
df2 = pd.DataFrame(
{"beer_name": ["Sorry, we dont have a recommendation for that style"]}
)
df = df2.append(df)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# route to generate wordcloud for top beerstyles
@app.route("/category")
def top_beerstyles():
TABLENAME = "final_beers"
query = f"SELECT COUNT(beer_style) AS count, beer_style, category FROM {TABLENAME} GROUP BY beer_style, category"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# route to add beerstyle image
@app.route("/beerstyles_links/<beerstyle>")
def beer_style_links(beerstyle):
TABLENAME = "beer_styles_links"
query = f"SELECT * FROM {TABLENAME} WHERE beer_style = '{beerstyle}'"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# --------------------------------------------------------------#
# dashboard routes #
# --------------------------------------------------------------#
@app.route("/dashboard.html")
def dashboard():
return render_template("dashboard.html")
@app.route("/state_data")
def state_data():
TABLENAME = "us_state_data"
query = f"SELECT * FROM {TABLENAME}"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
@app.route("/style_rank")
def style_rank():
TABLENAME = "beer_style_pop"
query = f"SELECT beer_style, review_count FROM {TABLENAME} ORDER BY review_count DESC LIMIT 10"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
@app.route("/category_data")
def category_data():
TABLENAME = "ba_beerstyles"
query = f"SELECT * FROM {TABLENAME}"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# state selector
@app.route("/statedata/<state>")
def state_stat(state):
TABLENAME = "us_state_data"
query = f"SELECT * FROM {TABLENAME} WHERE state = '{state}'"
df = pd.read_sql_query(query, sql_engine)
# return json of the dataframe
return Response(df.to_json(orient="records"), mimetype="application/json")
# --------------------------------------------------------------#
# breweries routes #
# --------------------------------------------------------------#
@app.route("/breweries.html")
def breweries():
return render_template("breweries.html")
################################################################
# Main #
################################################################
if __name__ == "__main__":
app.run(debug=True,host='0.0.0.0',port=int(os.environ.get('PORT', 8080)))