- additional module for Gschliefghraben

__init__.py

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+# For relative imports to work in Python 3.6
+import os, sys; sys.path.append(os.path.dirname(os.path.realpath(__file__)))

db/__init__.py

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+# For relative imports to work in Python 3.6
+import os, sys; sys.path.append(os.path.dirname(os.path.realpath(__file__)))

db/pg_models.py

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+'''
+Tutorial link: https://docs.sqlalchemy.org/en/latest/orm/tutorial.html
+Sqlalchemy version: 1.2.15
+Python version: 3.7
+'''
+
+import os
+from sqlalchemy import (create_engine, Column, Integer,
+                        SmallInteger, String, ForeignKey, DateTime, Numeric)
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import sessionmaker, relationship
+import sqlalchemy.orm.session
+
+Base = declarative_base()
+
+
+class Platform(Base):
+    """ Platform class """
+    __tablename__ = 'platform'
+    __table_args__ = {"schema": "gba"}
+
+    id = Column('platform_id', Integer, primary_key=True)
+    identifier = Column('identifier', String)
+    sta_identifier = Column('sta_identifier', String)
+    name = Column('name', String)
+    # datasets = relationship('Dataset')
+    datasets = relationship('Dataset', back_populates="platform", lazy=True)
+
+    def __repr__(self):
+        return f'Platform {self.name}'
+
+
+class Phenomenon(Base):
+    """ phenomenon class """
+    __tablename__ = 'phenomenon'
+    __table_args__ = {"schema": "gba"}
+
+    id = Column('phenomenon_id', Integer, primary_key=True)
+    name = Column('name', String)
+    sta_identifier = Column('sta_identifier', String)
+    # datasets = relationship('Dataset')
+    datasets = relationship('Dataset', back_populates="phenomenon", lazy=True)
+
+    def __repr__(self):
+        return f'Phenomenon {self.name}'
+
+
+class Procedure(Base):
+    """ procedure class """
+    __tablename__ = 'procedure'
+    __table_args__ = {"schema": "gba"}
+
+    id = Column('procedure_id', Integer, primary_key=True)
+    name = Column('name', String)
+    sta_identifier = Column('sta_identifier', String)
+    # datasets = relationship('Dataset')
+    datasets = relationship('Dataset', back_populates="procedure", lazy=True)
+
+    def __repr__(self):
+        return f'Procedure {self.name}'
+
+
+class Dataset(Base):
+    """ dataset class """
+    __tablename__ = 'dataset'
+    __table_args__ = {"schema": "gba"}
+
+    id = Column('dataset_id', Integer, primary_key=True)
+    name = Column('name', String)
+    is_published = Column('is_published', SmallInteger)
+    is_hidden = Column('is_hidden', SmallInteger)
+    dataset_type = Column('dataset_type', String)
+    observation_type = Column('observation_type', String)
+    value_type = Column('value_type', String)
+
+    last_time = Column('last_time', DateTime)
+    last_value = Column('last_value', Numeric(20, 10))
+    fk_last_observation_id = Column(
+        'fk_last_observation_id',
+        Integer
+    )
+    # last_observation = relationship(
+    #     "Observation", foreign_keys=[fk_last_observation_id])
+
+    first_time = Column('first_time', DateTime)
+    first_value = Column('first_value', Numeric(20, 10))
+    fk_first_observation_id = Column(
+        'fk_first_observation_id',
+        Integer
+    )
+    # first_observation = relationship("Observation", foreign_keys=[
+    #                                  fk_first_observation_id])
+
+    observations = relationship(
+        'Observation', back_populates='dataset', lazy=True)
+
+    fk_procedure_id = Column('fk_procedure_id', Integer, ForeignKey(
+        'gba.procedure.procedure_id'), nullable=False)
+    # procedure = relationship("Procedure", lazy="joined")
+    procedure = relationship(
+        "Procedure", back_populates="datasets", lazy="joined")
+
+    fk_phenomenon_id = Column(
+        'fk_phenomenon_id', Integer, ForeignKey('gba.phenomenon.phenomenon_id'), nullable=False)
+    # phenomenon = relationship("Phenomenon", lazy="joined", foreign_keys=[fk_phenomenon_id])
+    phenomenon = relationship(
+        "Phenomenon", back_populates="datasets",  lazy="joined")
+
+    # fk_platform_id = Column(
+    #     'fk_platform_id', Integer, ForeignKey('gba.platform.platform_id'), nullable=True)
+    # # platform = relationship("Platform", lazy="joined", foreign_keys=[fk_platform_id])
+    fk_platform_id = Column('fk_platform_id', Integer, ForeignKey(
+        'gba.platform.platform_id'), nullable=True)
+    platform = relationship(
+        "Platform", back_populates="datasets",  lazy="joined")
+
+    def __repr__(self):
+        return f'Dataset {self.name}'
+
+
+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")
+
+    def __repr__(self):
+        return f'Observation {self.name}'
+
+    # @property
+    # def result_time(self):
+    #     ''' Create a datetime object '''
+    #     start_datetime = datetime.datetime.combine(self.date, self.ora)
+    #     return start_datetime
+
+
+def create_pg_session() -> sqlalchemy.orm.sessionmaker:
+    """Return the sum of x and y."""
+    dbschema = ''
+    db_user = os.environ.get("POSTGIS_DBUSER")
+    db_password = os.environ.get("POSTGIS_DBPASSWORD")
+    db_url = os.environ.get("POSTGIS_DBURL")
+    engine = create_engine(
+        "postgresql+psycopg2://" + db_user + ":" + db_password + "@" + db_url,
+        connect_args={'options': '-csearch_path={}'.format(dbschema)},
+        isolation_level="READ UNCOMMITTED")
+    session_maker = sessionmaker(bind=engine)
+    session = session_maker()
+
+    Base.metadata.create_all(engine)
+    return session

gschliefgraben_glasfaser/__init__.py

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+# For relative imports to work in Python 3.6
+import os, sys; sys.path.append(os.path.dirname(os.path.realpath(__file__)))

gschliefgraben_glasfaser/config.py

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+# import os
+# #import connexion
+# from sqlalchemy.ext import 
+# from marshmallow import Marshmallow
+
+
+# Create the SQLAlchemy db instance
+# db = SQLAlchemy(app)
+
+
+# Initialize Marshmallow
+# ma = Marshmallow(app)

gschliefgraben_glasfaser/main.py

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+'''
+Tutorial link: https://realpython.com/flask-connexion-rest-api-part-2/
+Sqlalchemy version: 1.2.15
+Python version: 3.7
+'''
+
+import os
+# 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
+# print(response.content)  # get the data content of the response
+# (for your case this is the downloaded file)
+# print(dir(response))  # shows you all the different methods you can call on this response object
+db_user = os.environ.get("POSTGIS_DBUSER")
+print(db_user)

gschliefgraben_glasfaser/models.py

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+'''
+Tutorial link: https://docs.sqlalchemy.org/en/latest/orm/tutorial.html
+Sqlalchemy version: 1.2.15
+Python version: 3.7
+'''
+
+from datetime import datetime
+# from config import db, ma
+
+# import os
+from sqlalchemy import (Column, Integer,
+                        String, DateTime)
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import session
+from marshmallow import Schema
+from db.pg_models import create_pg_session
+
+Base = declarative_base()
+
+
+class Person(Base):
+    """ Platform class """
+    __tablename__ = 'person'
+    person_id = Column(Integer, primary_key=True)
+    lname = Column(String(32), index=True)
+    fname = Column(String(32))
+    timestamp = Column(DateTime, default=datetime.utcnow,
+                       onupdate=datetime.utcnow)
+
+
+class PersonSchema(Schema):
+    """ Platform class """
+    class Meta:
+        """ Platform class """
+        model = Person
+        #pg_session: session = create_pg_session()
+        sqla_session: session = create_pg_session()

notes.txt

@@ -31,3 +31,6 @@ d:/Software/geomon/.venv/Scripts/python.exe -m pip install -U autopep8
 pip install fdb
 pip install sqlalchemy-firebird
 pip install 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.
+pip install marshmallow-sqlalchemy marshmallowll