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app.py
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import numpy as np
from config import password
from config import username
import psycopg2
# import sqlalchemy
from sqlalchemy.ext.automap import automap_base
from sqlalchemy.orm import Session
from sqlalchemy import create_engine, func
from flask import Flask, jsonify, render_template
#################################################
# Database Setup
#################################################
username = username
password = password
database = "postgresql://" + username + ":" + password + "@localhost:5432/national_parks_db"
engine = create_engine(database)
# reflect an existing database into a new model
Base = automap_base()
# reflect the tables
Base.prepare(engine, reflect=True)
connection = psycopg2.connect(user=username,
password=password,
host="localhost",
port="5432",
database="national_parks_db")
#################################################
# Flask Setup
#################################################
app = Flask(__name__)
#################################################
# Flask Routes
#################################################
@app.route("/")
def home():
return render_template("index_map.html")
@app.route("/api/v1.0/routes")
def routes():
return (
f"Welcome to the National Park Dashboard API<br/>"
f"Available Routes:<br/>"
f"/api/v1.0/Parks<br/>"
f"/api/v1.0/Visitation<br/>"
f"/api/v1.0/Species<br/>"
f"/api/v1.0/Trails<br/>"
f"/api/v1.0/Trail_Features</br>"
f"/api/v1.0/Trail_BY_ParkCode</br>"
f"/api/v1.0/Trail_Activities</br>"
f"/api/v1.0/Top 10 Parks visited</br>"
f"/api/v1.0/top_10_arces</br>"
f"/api/v1.0/<start>/<end>"
)
@app.route("/api/v1.0/Parks")
def parks():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("SELECT park_name, park_code, state, acres, latitude, longitude FROM national_parks order by park_name")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Visitation")
def visitation():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("SELECT * FROM parks_visitation")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Species")
def species():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("SELECT * FROM species")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Trails")
def trails():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("SELECT * FROM park_trails")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Trail_Features")
def trail_feats():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("SELECT * FROM trail_features")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Trail_BY_ParkCode")
def trail_by_parkcode():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
query = "select np.park_code,ta.activities from trail_activities ta \
inner join national_parks np \
on ta.park_name = np.park_name;"
cursor.execute(query)
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Trail_Activities")
def trail_acts():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("SELECT * FROM trail_activities")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Top 10 Parks visited")
def top_parks():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
query = "select np.park_code, pv.park_name, sum(pv.visitors) from parks_visitation pv \
inner join national_parks np \
on pv.park_name = np.park_name \
group by np.park_code, pv.park_name \
order by 3 desc LIMIT 10;"
cursor.execute(query)
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Bottom_10_Parks_visited")
def bottom_parks():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
query = "select np.park_code, pv.park_name, sum(pv.visitors) from parks_visitation pv \
inner join national_parks np \
on pv.park_name = np.park_name \
group by np.park_code, pv.park_name \
order by 3 asc LIMIT 10;"
cursor.execute(query)
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/Trail_Miles")
def trail_miles():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
cursor.execute("select np.park_code, pt.park_name, sum(pt.length) from park_trails pt \
inner join national_parks np \
on pt.park_name = np.park_name \
group by np.park_code, pt.park_name \
order by 3 desc LIMIT 10;")
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/top_10_size")
def top_10_size():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
query = "select np.park_code, np.park_name, np.acres from national_parks np \
order by 3 desc LIMIT 10;"
cursor.execute(query)
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/rare_species")
def rare_species():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
query = "select np.park_code, sp.park_name, count(sp.common_names) from species sp \
inner join national_parks np \
on sp.park_name = np.park_name \
WHERE sp.abundance = 'Rare'\
group by np.park_code, sp.park_name \
order by 3 desc LIMIT 10;"
cursor.execute(query)
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/top_10_arces")
def top_10_acres():
cursor = connection.cursor(cursor_factory = psycopg2.extras.DictCursor)
query = "select TRIM(TRAILING 'Park ' from park_name) as park_name, acres from national_parks \
group by park_name order by 2 desc LIMIT 10;"
cursor.execute(query)
columns = list(cursor.description)
result = cursor.fetchall()
results = []
for row in result:
row_dict = {}
for i, col in enumerate(columns):
row_dict[col.name] = row[i]
results.append(row_dict)
return jsonify(results)
@app.route("/api/v1.0/<start>/<end>")
def startend():
return (
)
if __name__ == '__main__':
app.run(debug=True)