/
app.py
390 lines (310 loc) · 13.6 KB
/
app.py
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import os
import pandas as pd
import json
import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session,sessionmaker
from sqlalchemy import create_engine, distinct
from sqlalchemy.sql import func
from flask import Flask, jsonify, render_template
from flask_sqlalchemy import SQLAlchemy
from config import ServerName, UserName, Password, DataBase
app = Flask(__name__)
#################################################
# Database Setup
#################################################
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ.get('DATABASE_URL','') or f"postgres://{UserName}:{Password}@localhost:5432/{DataBase}"
db = SQLAlchemy(app)
# reflect an existing database into a new model
Base = automap_base()
# reflect the tables
Base.prepare(db.engine, reflect=True)
# Save references to each table
basic = Base.classes.basic
metrics = Base.classes.metrics
geoloc = Base.classes.geoloc
state_fips = Base.classes.state_fips
detail = Base.classes.detail
institutional_characteristics_level = Base.classes.institutional_characteristics_level
owner = Base.classes.ownership
@app.route("/")
def index():
"""Return the homepage."""
return render_template("index.html")
@app.route("/json")
def json():
"""Return the school metadata."""
result = db.session.query(basic.name, basic.state,metrics.tuition_in_state,metrics.tuition_out_of_state,geoloc.location_lat,geoloc.location_lon).filter(basic.id==geoloc.id).filter(basic.id==metrics.id).all()
schools = []
for name, state, tuition_IS,tuition_OS, lat, lon in result:
if tuition_IS is None:
tuition_IS = ""
if tuition_OS is None:
tuition_OS = ""
json = {}
json["Name"] = name
json["State"] = state
json["Tuition_IS"] = tuition_IS
json["Tuition_OS"] = tuition_OS
json["Lat"] = lat
json["Lon"] = lon
schools.append(json)
return jsonify(schools)
@app.route("/metric")
def metric():
"""Return data for cesar."""
result = db.session.query(basic.name, basic.state, basic.city, metrics.tuition_in_state,metrics.tuition_out_of_state,metrics.faculty_salary, metrics.instructional_expenditure_per_fte,metrics.tuition_revenue_per_fte,geoloc.location_lat,geoloc.location_lon,state_fips.description).filter(basic.id==geoloc.id).filter(basic.id==metrics.id).filter(basic.state_fips==state_fips.code).all()
cesars_page = []
for name, state,city, tuition_IS,tuition_OS,fsal,expen_per_fte,tuition_rev, lat, lon,fips in result:
if tuition_IS is None:
tuition_IS = ""
if tuition_OS is None:
tuition_OS = ""
json = {}
json["schoolName"] = name
json["schoolState"] = state
json["schoolCity"] = city
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["facultySalary"] = fsal
json["expenditurePerStudent"] = expen_per_fte
json["tuitionRevenuePerStudent"] = tuition_rev
json["schoolLat"] = lat
json["schoolLong"] = lon
json["Fips"] = fips
cesars_page.append(json)
return jsonify(cesars_page)
@app.route("/metric/country")
def metric_country():
"""It includes Country Averages"""
qry = db.session.query(
func.count(basic.state),
func.round(func.avg(metrics.tuition_in_state)),
func.round(func.avg(metrics.tuition_out_of_state)),
func.round(func.avg(metrics.instructional_expenditure_per_fte)),
func.round(func.avg(metrics.faculty_salary)),
func.round(func.avg(metrics.tuition_revenue_per_fte)),
).filter(basic.id==metrics.id)
country_data = []
for count,tuition_IS,tuition_OS, expenditure, faculty_Sal, revenue in qry:
json = {}
json["No_Schools"] = count
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["expenditure"] = expenditure
json["facSalary"] = faculty_Sal
json["tuiRevenue"] = revenue
country_data.append(json)
# Return a list of the column names (sample names)
return jsonify(country_data)
@app.route("/metric/<state>")
def metric_state(state):
"""It includes state averages"""
qry = db.session.query(
state_fips.description,
func.count(basic.state),
func.round(func.avg(metrics.tuition_in_state)),
func.round(func.avg(metrics.tuition_out_of_state)),
func.round(func.avg(metrics.instructional_expenditure_per_fte)),
func.round(func.avg(metrics.faculty_salary)),
func.round(func.avg(metrics.tuition_revenue_per_fte)),
).filter(basic.id==metrics.id).filter(state_fips.code==basic.state_fips)
qry = qry.group_by(state_fips.description)
qry = qry.filter(state_fips.description == state)
state_data = []
for state,count,tuition_IS,tuition_OS, expenditure, faculty_Sal, revenue in qry:
json = {}
json["State"] = state
json["No_Schools"] = count
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["expenditure"] = expenditure
json["facSalary"] = faculty_Sal
json["tuiRevenue"] = revenue
state_data.append(json)
# Return a list of the column names (sample names)
return jsonify(state_data)
@app.route("/metric/<state>/<city>")
def metric_city(state,city):
"""It includes state averages"""
qry = db.session.query(
state_fips.description,
basic.city,
func.count(basic.state),
func.round(func.avg(metrics.tuition_in_state)),
func.round(func.avg(metrics.tuition_out_of_state)),
func.round(func.avg(metrics.instructional_expenditure_per_fte)),
func.round(func.avg(metrics.faculty_salary)),
func.round(func.avg(metrics.tuition_revenue_per_fte)),
).filter(basic.id==metrics.id).filter(state_fips.code==basic.state_fips)
qry = qry.group_by(state_fips.description)
qry = qry.group_by(basic.city)
qry = qry.filter(state_fips.description == state)
qry = qry.filter(basic.city == city)
city_data = []
for state,city,count,tuition_IS,tuition_OS, expenditure, faculty_Sal, revenue in qry:
json = {}
json["State"] = state
json["City"] = city
json["No_Schools"] = count
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["expenditure"] = expenditure
json["facSalary"] = faculty_Sal
json["tuiRevenue"] = revenue
city_data.append(json)
# Return a list of the column names (sample names)
return jsonify(city_data)
@app.route("/metric/table/country")
def table():
"""It includes top 10 data"""
qry = db.session.query(
state_fips.description,
func.count(state_fips.description),
func.round(func.avg(metrics.tuition_in_state)),
func.round(func.avg(metrics.tuition_out_of_state)),
func.round(func.avg(metrics.instructional_expenditure_per_fte)),
func.round(func.avg(metrics.faculty_salary)),
func.round(func.avg(metrics.tuition_revenue_per_fte)),
).filter(basic.id==metrics.id).filter(state_fips.code==basic.state_fips)
qry = qry.group_by(state_fips.description)
qry = qry.order_by(state_fips.description)
table_data = []
for state,count,tuition_IS,tuition_OS, expenditure, faculty_Sal, revenue in qry:
json = {}
json["State"] = state
json["No_Schools"] = count
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["expenditure"] = expenditure
json["facSalary"] = faculty_Sal
json["tuiRevenue"] = revenue
table_data.append(json)
# Return a list of the column names (sample names)
json_data = jsonify(table_data)
return json_data
@app.route("/metric/table/<state>")
def table_state(state):
"""It includes top 10 data"""
qry = db.session.query(
basic.city,
func.count(state_fips.description),
func.round(func.avg(metrics.tuition_in_state)),
func.round(func.avg(metrics.tuition_out_of_state)),
func.round(func.avg(metrics.instructional_expenditure_per_fte)),
func.round(func.avg(metrics.faculty_salary)),
func.round(func.avg(metrics.tuition_revenue_per_fte)),
).filter(basic.id==metrics.id).filter(state_fips.code==basic.state_fips)
qry = qry.filter(state_fips.description == state)
qry = qry.group_by(basic.city)
qry = qry.order_by(basic.city)
table_data = []
for city,count,tuition_IS,tuition_OS, expenditure, faculty_Sal, revenue in qry:
json = {}
json["State"] = city
json["No_Schools"] = count
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["expenditure"] = expenditure
json["facSalary"] = faculty_Sal
json["tuiRevenue"] = revenue
table_data.append(json)
# Return a list of the column names (sample names)
json_data = jsonify(table_data)
return json_data
@app.route("/metric/table/<state>/<city>")
def table_city(state, city):
"""It includes top 10 data"""
qry = db.session.query(
basic.name,
func.count(state_fips.description),
func.round(func.avg(metrics.tuition_in_state)),
func.round(func.avg(metrics.tuition_out_of_state)),
func.round(func.avg(metrics.instructional_expenditure_per_fte)),
func.round(func.avg(metrics.faculty_salary)),
func.round(func.avg(metrics.tuition_revenue_per_fte)),
).filter(basic.id==metrics.id).filter(state_fips.code==basic.state_fips)
qry = qry.filter(state_fips.description == state)
qry = qry.filter(basic.city == city)
qry = qry.group_by(basic.name)
qry = qry.order_by(basic.name)
table_data = []
for name,count,tuition_IS,tuition_OS, expenditure, faculty_Sal, revenue in qry:
json = {}
json["State"] = name
json["No_Schools"] = count
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
json["expenditure"] = expenditure
json["facSalary"] = faculty_Sal
json["tuiRevenue"] = revenue
table_data.append(json)
# Return a list of the column names (sample names)
json_data = jsonify(table_data)
return json_data
@app.route("/tuition")
def tuition():
"""Return a dictionary of tuitions grouped by state."""
qry = db.session.query(basic.state,func.round(func.avg(metrics.tuition_in_state)),func.round(func.avg(metrics.tuition_out_of_state))).filter(basic.id==metrics.id)
qry = qry.group_by(basic.state)
tuition = []
for state,tuition_IS,tuition_OS in qry:
json = {}
json["State"] = state
json["tuitionIn"] = tuition_IS
json["tuitionOut"] = tuition_OS
tuition.append(json)
return jsonify(tuition)
@app.route("/yen")
def yen():
"""Return a dictionary of tuitions."""
qry = db.session.query(basic.state,metrics.tuition_in_state,metrics.tuition_out_of_state,geoloc.location_lon, geoloc.location_lat,basic.name, basic.city,basic.school_url,owner.description, institutional_characteristics_level.description,metrics.instructional_expenditure_per_fte).filter(basic.id==metrics.id).filter(basic.id==detail.id).filter(basic.id==geoloc.id).filter(detail.ownership==owner.code).filter(detail.institutional_characteristics_level == institutional_characteristics_level.code).all()
yen = []
for state,tuition_IS,tuition_OS, lon, lat, name, city, url, ownership,term, spend_fte in qry:
if tuition_IS is None:
tuition_IS = ""
if tuition_OS is None:
tuition_OS = ""
json = {}
json["state"] = state
json["tuition_in_state"] = tuition_IS
json["tuition_out_of_state"] = tuition_OS
json["location_lon"] = lon
json["location_lat"] = lat
json["name"] = name
json["city"] = city
json["school_url"] = url
json["ownership_desc"] = ownership
json["institutional_characteristics_leveldesc"] = term
json["instructional_expenditure_per_fte"] = spend_fte
yen.append(json)
return jsonify(yen)
@app.route("/bill", methods = ["GET"])
def bill():
"""Return dictionary of least to most expensive tuitions."""
subq = db.session.query(metrics.id, func.max(metrics.tuition_in_state).label('max')).group_by(metrics.id).subquery()
qry = db.session.query(basic.name, basic.state, basic.city, metrics.tuition_in_state).filter(basic.id == metrics.id).filter(metrics.tuition_in_state == subq.c.max).all()
school = []
for name, state, city, max_tuition in qry:
json = {}
json["name"] = name
json["state"] = state
json["city"] = city
json["tuition"]= max_tuition
school.append(json)
return jsonify(school)
@app.route("/counts")
def counts():
"""Return number of distinct states/provinces."""
dist = db.session.query(basic.state).distinct().count()
counts = []
json = {}
json["count"] = dist
counts.append(json)
return jsonify(counts)
@app.route('/<string:page_name>/')
def render_static(page_name):
return render_template('%s.html' % page_name)
if __name__ == "__main__":
app.debug = False
app.run()