def main():
inputs = parse_inputs()
app = Flask(__name__)
api = Api(app)
for i in range(inputs.endpoint_count):
n = get_endpoint(inputs.path_probability,
inputs.path_input_probability)
supers = (Resource, )
attrs = {get_operation(): lambda: None}
e = api.route(n)(type(n, supers, attrs))
app.run(debug=True)
@api.route('/Databricks/init_scripts/install')
class Initscriptinstall(Resource):
"""
This class runs the installs the script action
on the spark cluster
"""
def post(self):
"""
Submits the batch job using databricks job api
Returns:
"""
pass
api.route('/Databricks/init_scripts/uninstall')
class Initscriptunistall(Resource):
"""
This class uninstalls the script action
on the spark cluster
"""
def post(self):
"""
Submits the batch job using databricks job api
Returns:
"""
pass
return book
if __name__ == '__main__':
columns_to_drop = ['Edition Statement',
'Corporate Author',
'Corporate Contributors',
'Former owner',
'Engraver',
"~/COMP9321-Data-Services/Week5_Flask/activity_1.py" 48L, 1404Cfrom flask_restplus import Resource, Api
app = Flask(__name__)
api = Api(app)
@api.route('/books/<int:id>')
class Books(Resource):
def get(self, id):
if id not in df.index:
api.abort(404, "Book {} doesn't exist".format(id))
book = dict(df.loc[id])
return book
if __name__ == '__main__':
columns_to_drop = ['Edition Statement',
'Corporate Author',
'Corporate Contributors',
'Former owner',
'Engraver',
