114 lines
4.7 KiB
Python
114 lines
4.7 KiB
Python
'''
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Tutorial link: https://realpython.com/flask-connexion-rest-api-part-2/
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https://github.com/realpython/materials/blob/master/flask-connexion-rest-part-2/version_1/people.py
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Sqlalchemy version: 1.2.15
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Python version: 3.7
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'''
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import os
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# import sys, inspect
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# currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
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# parentdir = os.path.dirname(currentdir)
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# sys.path.insert(0, parentdir)
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# import requests
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from sqlalchemy.orm import session
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from gschliefgraben_glasfaser.models import ObservationSchema, Person, PersonSchema, Observation
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from gschliefgraben_glasfaser.my_api import MyApi
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from db.pg_models import create_pg_session
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#from models import Person, PersonSchema
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# response = requests.get('https://api.com/')
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# print(response) # shows the response's HTTP status code
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# print(response.json()) # shows the response's JSON response body, if it has one
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# print(response.content) # get the data content of the response
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def main():
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''' main method '''
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db_user = os.environ.get("POSTGIS_DBUSER")
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print(db_user)
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pg_session: session = create_pg_session()
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# pg_person: Person = pg_session.query(Person).first()
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observation: Observation = pg_session.query(Observation).first()
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# print(pg_person)
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# serialize db data to json
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# person_schema = PersonSchema()
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# dump_data = person_schema.dump(pg_person)
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# print(dump_data)
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# serialize db data to json
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observation_schema = ObservationSchema()
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dump_data = observation_schema.dump(observation)
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print(dump_data)
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# # deserialize to db model
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# load_data: Person = person_schema.load(dump_data)
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# print(load_data)
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# request ortmann api
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# token = 'eyJraWQiOiJlakFmX1MwMTBMU3doS0Zod05wZDQtQkZPYTM4cDRYRE1zU1hFa0lrRlhFIiwiYWxnIjoiUlMyNTYifQ.eyJ2ZXIiOjEsImp0aSI6IkFULkZRUHNCOWh5Snd6eEM5d3ZWelRvaTNpZVlMWlJiT3U4YzFCbWJWRGM1SFkiLCJpc3MiOiJodHRwczovL2Rldi01MjUwMDA2Lm9rdGEuY29tL29hdXRoMi9kZWZhdWx0IiwiYXVkIjoiYXBpOi8vZGVmYXVsdCIsImlhdCI6MTY0NTc4Mjg0NSwiZXhwIjoxNjQ1Nzg2NDQ1LCJjaWQiOiIwb2EyOWhzdGZ3RnFya1BrUDVkNyIsInNjcCI6WyJnc2NobGllZmdyYWJlbiJdLCJzdWIiOiIwb2EyOWhzdGZ3RnFya1BrUDVkNyJ9.c-pTs-3VJMnFO2SOqxOvsABAloprUmOjk6SO9J71NrgLj7claKZOMLZxRyUeSBLWCJFFNI3A6xMd4twEexjJdUR8UEM4U50srxr2p_enaMm1_jZTSt_76u6H05kwV-A2AOQPkx-Fxxaj_PDjT7w43Zlg6SUEoT11uGKR6KtxVYbclGtWgOR7wvH4NZav-P_EDjHwHxbk2kQSf7tBU1JbWl74Xt58gzv1t8VNtLYLICabRsuTNQUNiO7Y1rtUEav4ugf7WZMIY1cP_4rCupZrAFbxrnyprAuXA2x01Z9hbFmiaK0QDlrwHcCHL_1fKvj9uIbO5JeI1x81X6g7eAxQdA'
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# response = requests.get('https://api.dgnss-sensors.com/gschliefgraben?sensors=("inclino1_14")',
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# headers={
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# 'Authorization': 'Bearer' + token,
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# 'cache-control': 'no-cache',
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# 'Content-Type': 'application/x-www-form-urlencoded',
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# 'accept': 'application/json'
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# },
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# data='grant_type=client_credentials&scope=gschliefgraben')
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# print(response)
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token_api = os.environ.get("TOKEN_API")
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test_api = MyApi(token_api)
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data = test_api.getSensorData("inclino1_14")
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observation_array = (data['FeatureCollection']['Features'][0]['geometry']['properties'][0])
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print(observation_array)
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# create(dump_data)
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# # deserialize to db model
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observation_schema = ObservationSchema(many=True)
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observations: Observation = observation_schema.load(observation_array)
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print(observations)
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def create(person_json: PersonSchema):
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"""
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This function creates a new person in the people structure
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based on the passed-in person data
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:param person: person to create in people structure
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:return: 201 on success, 406 on person exists
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"""
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login = person_json.get('login')
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#lname = person.get('lname')
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db_session = create_pg_session()
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# existing_person = Person.query \
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# .filter(Person.login == login) \
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# .one_or_none()
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existing_person: bool = (
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db_session.query(Person)
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.filter(Person.login == login)
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.one_or_none()
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)
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# Can we insert this person?
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if existing_person is None:
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# Create a person instance using the schema and the passed in person
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schema = PersonSchema()
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# deserialize to object
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new_person: Person = schema.load(person_json)
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# Add the person to the database
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db_session.add(new_person)
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db_session.commit()
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# Serialize and return the newly created person in the response
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data = schema.dump(new_person)
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return data, 201
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# Otherwise, nope, person exists already
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else:
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print(409, f'Person {login} exists already')
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if __name__ == "__main__":
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main()
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