add observation class for importing observations

This commit is contained in:
Arno Kaimbacher 2022-02-23 16:46:47 +01:00
parent 1dafc5824c
commit 7dd739b04e
5 changed files with 75 additions and 28 deletions

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@ -1,2 +1,4 @@
# For relative imports to work in Python 3.6
import os, sys; sys.path.append(os.path.dirname(os.path.realpath(__file__)))
''' For relative imports to work in Python 3.6 '''
import os
import sys
sys.path.append(os.path.dirname(os.path.realpath(__file__)))

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@ -10,10 +10,10 @@ import os
# currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
# parentdir = os.path.dirname(currentdir)
# sys.path.insert(0, parentdir)
from db.pg_models import create_pg_session
from sqlalchemy.orm import session
from gschliefgraben_glasfaser.models import PersonSchema
from models import Person, PersonSchema
from models import ObservationSchema, Person, PersonSchema, Observation
from db.pg_models import create_pg_session
#from models import Person, PersonSchema
# response = requests.get('https://api.com/')
# print(response) # shows the response's HTTP status code
# print(response.json()) # shows the response's JSON response body, if it has one
@ -21,21 +21,29 @@ from models import Person, PersonSchema
def main():
# db_user = os.environ.get("POSTGIS_DBUSER")
# print(db_user)
''' main method '''
db_user = os.environ.get("POSTGIS_DBUSER")
print(db_user)
pg_session: session = create_pg_session()
pg_person: Person = pg_session.query(Person).first()
# pg_person: Person = pg_session.query(Person).first()
observation: Observation = pg_session.query(Observation).first()
print (observation)
# serialize db data to json
person_schema = PersonSchema()
dump_data = person_schema.dump(pg_person)
# person_schema = PersonSchema()
# dump_data = person_schema.dump(pg_person)
# print(dump_data)
# serialize db data to json
observation_schema = ObservationSchema()
dump_data = observation_schema.dump(observation)
print(dump_data)
# deserialize
load_data: Person = person_schema.load(dump_data)
print(load_data)
create(dump_data)
# # deserialize
# load_data: Person = person_schema.load(dump_data)
# print(load_data)
# create(dump_data)
def create(person_json: PersonSchema):
@ -48,13 +56,13 @@ def create(person_json: PersonSchema):
login = person_json.get('login')
#lname = person.get('lname')
session = create_pg_session()
db_session = create_pg_session()
# existing_person = Person.query \
# .filter(Person.login == login) \
# .one_or_none()
existing_person: bool = ( \
session.query(Person) \
db_session.query(Person) \
.filter(Person.login == login)
.one_or_none()
)
@ -67,8 +75,8 @@ def create(person_json: PersonSchema):
new_person: Person = schema.load(person_json)
# Add the person to the database
session.add(new_person)
session.commit()
db_session.add(new_person)
db_session.commit()
# Serialize and return the newly created person in the response
data = schema.dump(new_person)

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@ -10,16 +10,52 @@ from datetime import datetime
# import os
from sqlalchemy import (Column, Integer,
String, DateTime)
String, DateTime, ForeignKey, Numeric)
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import session
from marshmallow import Schema
from db.pg_models import create_pg_session
from sqlalchemy.orm import session, relationship
#from marshmallow import Schema
from marshmallow_sqlalchemy import SQLAlchemyAutoSchema
from db.pg_models import create_pg_session
Base = declarative_base()
class Observation(Base):
""" observation class """
__tablename__ = 'observation'
__table_args__ = {"schema": "gba"}
id = Column('observation_id', Integer, primary_key=True)
name = Column('name', String)
value_type = Column('value_type', String)
# pitch = Column('PITCH', String)
# roll = Column('ROLL', String)
sampling_time_start = Column('sampling_time_start', DateTime)
sampling_time_end = Column('sampling_time_end', DateTime)
result_time = Column('result_time', DateTime)
sta_identifier = Column('sta_identifier', String)
value_quantity = Column('value_quantity', Numeric(20, 10), nullable=False)
# fk_dataset_id = Column('fk_dataset_id', Integer,
# ForeignKey('gba.dataset.dataset_id'))
# dataset = relationship("Dataset", lazy="joined",
# foreign_keys=[fk_dataset_id])
fk_dataset_id = Column(Integer, ForeignKey(
'gba.dataset.dataset_id'), nullable=False)
# dataset = relationship("Dataset", back_populates="observations")
class ObservationSchema(SQLAlchemyAutoSchema):
""" Platform class """
class Meta:
""" Platform class """
model = Observation
include_relationships = True
load_instance = True
#pg_session: session = create_pg_session()
sqla_session: session = create_pg_session()
class Person(Base):
""" Platform class """
__tablename__ = 'accounts'
@ -30,6 +66,7 @@ class Person(Base):
login = Column(String(255))
timestamp = Column('updated_at', DateTime, default=datetime.utcnow,
onupdate=datetime.utcnow)
def __repr__(self):
return "<User(name='%s', lastname='%s')>" % (
self.login, self.lname)

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@ -30,7 +30,7 @@ d:/Software/geomon/.venv/Scripts/python.exe -m pip install -U autopep8
python -m pip install fdb
python -m pip install sqlalchemy-firebird
python -m pip install psycopg2
python -m pip uninstall psycopg2
Marshmallow provides functionality to serialize and deserialize Python objects as they flow out of and into our JSON-based REST API. Marshmallow converts Python class instances to objects that can be converted to JSON.
python -m pip install marshmallow-sqlalchemy marshmallow