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app.py
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app.py
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from flask import Flask, render_template, request, redirect, Response, jsonify
from functions_library import driver_fetch_data, initialize_global_vars # User defined consolidated library file.
import json
app = Flask(__name__)
@app.route("/", methods=['POST', 'GET'])
def initialize():
'''
This is the main driver function. We're using it to call any other preprocessing steps
or calling any other modules.
This module also renders the original HTML page.
'''
# We do not need to return anything from initialize_global_vars() function as we use it
# only to call preprocess and other necessary functions
# This is only to make sure that all global var data is captured before any other functions are called
# And that's only possible if there's something to return, otherwise we're directly going to go to the next line.
stopTimer = initialize_global_vars()
return render_template("index.html")
@app.route("/drawCircularBiPlot/<class_to_display>/<type_to_display>", methods=['POST', 'GET'])
def draw_circular_biplot(class_to_display, type_to_display):
'''
This module receives input from the Ajax driver function (myscript.js) and is used to draw
the Circular BiPlot Graph to plot revenue vs budget for consolidated genre-specific data
and revenue vs budget for various movies in the genre.
It calls the Python method driver_fetch_data with arguments circular_biplot and type_to_display
to retrieve relevant data.
Input:
type_to_display - A string keyword that is used to specify what kind of data is to be
displayed in the graph.
Values could be 'CONSOLIDATED' or the name of the genre.
Output:
If 'type_to_display' is CONSOLIDATED, we send the aggregated budget/revenue across all
available genres.
If 'type_to_display' is the name of the genre, we send the [1-10, 45-55, 90-100] ranged
values in revenue/budget sorted list.
'''
data = driver_fetch_data("circular_biplot", type_to_display, class_to_display)
return json.dumps(data)
@app.route("/drawRadarChart/<type_to_display>", methods=['POST', 'GET'])
def draw_radar_chart(type_to_display):
'''
This module receives input from the Ajax driver function (myscript.js) and is used to draw
the Radar Chart to plot all numeric components for consolidated genre-specific data
and for various movies in the genre.
It calls the Python method driver_fetch_data with arguments radar_plot and type_to_display
to retrieve relevant data.
Input:
type_to_display - A string keyword that is used to specify what kind of data is to be
displayed in the graph.
Values could be 'CONSOLIDATED' or the name of the genre.
Output:
If 'type_to_display' is CONSOLIDATED, we send the aggregated budget/revenue across all
available genres.
If 'type_to_display' is the name of the genre, we send the [1-10, 45-55, 90-100] ranged
values in revenue/budget sorted list.
'''
data = driver_fetch_data("radar_plot", type_to_display)
return json.dumps(data)
@app.route("/draw2dScatterPlot/<type_to_display>", methods=['POST', 'GET'])
def draw_2d_scatter_plot(type_to_display):
data = driver_fetch_data("scatterplot", type_to_display)
return data.to_json(orient='records')
@app.route("/drawBoxPlot/<type_to_display>", methods=['POST', 'GET'])
def draw_box_plot(type_to_display):
data_dict = driver_fetch_data("boxplot", type_to_display)
return json.dumps(data_dict)
@app.route("/drawParallelPlot/<type_to_display>", methods=['POST', 'GET'])
def draw_parallel_plot(type_to_display):
data = driver_fetch_data("parallelplot", type_to_display)
return data.to_json(orient='records')
if __name__ == "__main__":
app.run(debug=True)