- add image import script for Pechgraben images
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Arno Kaimbacher
parent
dc58b7235f
commit
d33e9d2b55
9 changed files with 503 additions and 112 deletions
265
db/models.py
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265
db/models.py
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'''
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Tutorial link: https://docs.sqlalchemy.org/en/latest/orm/tutorial.html
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Sqlalchemy version: 1.4.31
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Python version: 3.10
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'''
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#!/usr/bin/python# -*- coding: utf-8 -*-
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from datetime import datetime
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# from config import db, ma
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import os
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from sqlalchemy import (Column, Integer, Sequence,
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String, DateTime, ForeignKey, Numeric, SmallInteger, create_engine)
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import session, relationship, sessionmaker
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#from marshmallow import Schema
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from marshmallow_sqlalchemy import SQLAlchemySchema, SQLAlchemyAutoSchema
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from marshmallow import fields
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from dotenv import load_dotenv, find_dotenv
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# from db.pg_models import create_pg_session
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# import sqlalchemy.orm.session
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Base = declarative_base()
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def create_pg_session() -> sessionmaker:
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""" create postgres db session """
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load_dotenv(find_dotenv())
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dbschema = ''
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db_user = os.environ.get("POSTGIS_DBUSER")
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db_password = os.environ.get("POSTGIS_DBPASSWORD")
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db_url = os.environ.get("POSTGIS_DBURL")
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engine = create_engine(
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"postgresql+psycopg2://" + db_user + ":" + db_password + "@" + db_url,
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connect_args={'options': f'-csearch_path={dbschema}'},
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isolation_level="READ UNCOMMITTED")
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session_maker = sessionmaker(bind=engine)
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_session = session_maker()
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# Base.metadata.create_all(engine)
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return _session
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class Platform(Base):
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""" Platform class """
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__tablename__ = 'platform'
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__table_args__ = {"schema": "gba"}
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id = Column('platform_id', Integer, primary_key=True)
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identifier = Column('identifier', String)
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sta_identifier = Column('sta_identifier', String)
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name = Column('name', String)
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# datasets = relationship('Dataset')
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datasets = relationship('Dataset', back_populates="platform", lazy=True)
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def __repr__(self):
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return f'Platform {self.name}'
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class Phenomenon(Base):
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""" phenomenon class """
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__tablename__ = 'phenomenon'
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__table_args__ = {"schema": "gba"}
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id = Column('phenomenon_id', Integer, primary_key=True)
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name = Column('name', String)
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sta_identifier = Column('sta_identifier', String)
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# datasets = relationship('Dataset')
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datasets = relationship('Dataset', back_populates="phenomenon", lazy=True)
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def __repr__(self):
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return f'Phenomenon {self.name}'
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class Procedure(Base):
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""" procedure class """
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__tablename__ = 'procedure'
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__table_args__ = {"schema": "gba"}
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id = Column('procedure_id', Integer, primary_key=True)
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name = Column('name', String)
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sta_identifier = Column('sta_identifier', String)
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# datasets = relationship('Dataset')
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datasets = relationship('Dataset', back_populates="procedure", lazy=True)
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def __repr__(self):
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return f'Procedure {self.name}'
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class Dataset(Base):
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""" dataset class """
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__tablename__ = 'dataset'
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__table_args__ = {"schema": "gba"}
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id = Column('dataset_id', Integer, primary_key=True)
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name = Column('name', String)
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is_published = Column('is_published', SmallInteger)
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is_hidden = Column('is_hidden', SmallInteger)
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dataset_type = Column('dataset_type', String)
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observation_type = Column('observation_type', String)
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value_type = Column('value_type', String)
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last_time = Column('last_time', DateTime)
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last_value = Column('last_value', Numeric(20, 10))
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fk_last_observation_id = Column(
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'fk_last_observation_id',
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Integer
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)
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# last_observation = relationship(
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# "Observation", foreign_keys=[fk_last_observation_id])
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first_time = Column('first_time', DateTime)
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first_value = Column('first_value', Numeric(20, 10))
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fk_first_observation_id = Column(
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'fk_first_observation_id',
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Integer
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)
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# first_observation = relationship("Observation", foreign_keys=[
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# fk_first_observation_id])
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observations = relationship(
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'Observation', back_populates='dataset', lazy=True)
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fk_phenomenon_id = Column(
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'fk_phenomenon_id', Integer, ForeignKey('gba.phenomenon.phenomenon_id'), nullable=False)
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# phenomenon = relationship("Phenomenon", lazy="joined", foreign_keys=[fk_phenomenon_id])
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phenomenon = relationship(
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"Phenomenon", back_populates="datasets", lazy="joined")
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fk_platform_id = Column('fk_platform_id', Integer, ForeignKey(
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'gba.platform.platform_id'), nullable=True)
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platform = relationship(
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"Platform", back_populates="datasets", lazy="joined")
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fk_format_id = Column('fk_format_id', Integer, ForeignKey(
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'gba.format.format_id'), nullable=True)
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format = relationship(
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"Format", back_populates="datasets", lazy="joined")
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fk_procedure_id = Column('fk_procedure_id', Integer, ForeignKey(
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'gba.procedure.procedure_id'), nullable=False)
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# procedure = relationship("Procedure", lazy="joined")
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procedure = relationship(
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"Procedure", back_populates="datasets", lazy="joined")
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def new_id_factory():
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''' test '''
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dbschema = ''
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db_user = os.environ.get("POSTGIS_DBUSER")
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db_password = os.environ.get("POSTGIS_DBPASSWORD")
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db_url = os.environ.get("POSTGIS_DBURL")
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engine = create_engine(
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"postgresql+psycopg2://" + db_user + ":" + db_password + "@" + db_url,
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connect_args={'options': f'-csearch_path={dbschema}'},
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isolation_level="READ UNCOMMITTED")
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result = engine.execute('SELECT MAX(observation_id) FROM gba.observation')
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mytable_max_id = result.first().max
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if mytable_max_id is None:
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mytable_max_id = 0
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mytable_max_id += 1
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return mytable_max_id
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observation_seq = Sequence('observation_seq', schema="gba") # define sequence explicitly
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class Observation(Base):
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""" observation class """
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__tablename__ = 'observation'
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__table_args__ = {"schema": "gba"}
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# id = Column('observation_id', Integer, primary_key=True)
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id = Column('observation_id',
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Integer,
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observation_seq,
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primary_key=True,
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server_default=observation_seq.next_value())
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name = Column('name', String)
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value_type = Column('value_type', String, default="quantity")
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# pitch = Column('PITCH', String)
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# roll = Column('ROLL', String)
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sampling_time_start = Column('sampling_time_start', DateTime)
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sampling_time_end = Column('sampling_time_end', DateTime)
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result_time = Column('result_time', DateTime)
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sta_identifier = Column('sta_identifier', String)
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value_identifier = Column('value_identifier', String)
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value_quantity = Column('value_quantity', Numeric(20, 10))
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value_text = Column('value_text', String)
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fk_dataset_id = Column(Integer, ForeignKey(
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'gba.dataset.dataset_id'), nullable=False)
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dataset = relationship("Dataset", back_populates="observations")
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class ObservationSchema(SQLAlchemySchema):
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""" Platform class """
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DateTime = fields.DateTime(attribute='result_time') # Or vice-versa
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# value_quantity = fields.Integer(attribute='Value')
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# id = fields.Integer(attribute='id')
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Value = fields.Integer(attribute='value_quantity')
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id = fields.Integer(attribute='value_identifier')
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# sta_identifier= fields.String(default=uuid.uuid4()),
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class Meta:
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""" Platform class """
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model = Observation
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include_relationships = True
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load_instance = True
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#pg_session: session = create_pg_session()
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sqla_session: session = create_pg_session()
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class Format(Base):
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""" Format class """
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__tablename__ = 'format'
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__table_args__ = {"schema": "gba"}
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id = Column('format_id', Integer, primary_key=True)
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definition = Column('definition', String(255), index=True)
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datasets = relationship('Dataset', back_populates="format", lazy=True)
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class Person(Base):
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""" Platform class """
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__tablename__ = 'accounts'
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__table_args__ = {"schema": "gba"}
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person_id = Column('id', Integer, primary_key=True)
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lname = Column('last_name', String(255), index=True)
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fname = Column('first_name', String(255))
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login = Column(String(255))
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timestamp = Column('updated_at', DateTime, default=datetime.utcnow,
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onupdate=datetime.utcnow)
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def __repr__(self):
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return f"<User(name='{self.login}', lastname='{self.lname}')>"
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class PersonSchema(SQLAlchemyAutoSchema):
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""" Platform class """
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class Meta:
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""" Platform class """
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model = Person
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include_relationships = True
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load_instance = True
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#pg_session: session = create_pg_session()
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sqla_session: session = create_pg_session()
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def create_db():
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# db_url = 'sqlite:///db.sqlite'
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# engine = create_engine(db_url, echo = True )
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# Base.metadata.drop_all(bind=engine)
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# Base.metadata.create_all(engine)
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""" create postgres db session """
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load_dotenv("D:\\Software\\geomon\\.env")
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dbschema = ''
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db_user = os.environ.get("POSTGIS_DBUSER")
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db_password = os.environ.get("POSTGIS_DBPASSWORD")
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db_url = os.environ.get("POSTGIS_DBURL")
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engine = create_engine(
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"postgresql+psycopg2://" + db_user + ":" + db_password + "@" + db_url,
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connect_args={'options': f'-csearch_path={dbschema}'},
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isolation_level="READ UNCOMMITTED", echo=True)
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# session_maker = sessionmaker(bind=engine)
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# session = session_maker()
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Base.metadata.drop_all(bind=engine)
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# Base.metadata.create_all(engine)
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if __name__ == "__main__":
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create_db()
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