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models.py
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models.py
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from sqlalchemy import Column, Integer, String, DateTime, ForeignKey, Float, Boolean, LargeBinary
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Queue(Base):
__tablename__ = 'message_queue_queue'
id = Column(Integer, primary_key=True)
name = Column(String(100), primary_key=True)
class Message(Base):
__tablename__ = 'message_queue_message'
id = Column(Integer, primary_key=True)
queue_id = Column(Integer, ForeignKey('message_queue_queue.id'))
processed = Column(Boolean, nullable=False)
string_data = Column(String(512), nullable=True)
integer_data = Column(Integer, nullable=True)
float_data = Column(Float, nullable=True)
date_data = Column(DateTime, nullable=True)
error = Column(Boolean, nullable=False)
error_message = Column(String(512), nullable=True)
creation_date = Column(DateTime, nullable=False)
last_updated_date = Column(DateTime, nullable=False)
class Image(Base):
__tablename__ = 'gallery_image'
id = Column(Integer, primary_key=True)
family_id = Column(Integer, ForeignKey('family_tree_family.id'), primary_key=True)
title = Column(String(250), nullable=False)
large_thumbnail = Column(String(250), nullable=False)
large_thumbnail_height = Column(Integer, nullable=False)
large_thumbnail_width = Column(Integer, nullable=False)
creation_date = Column(DateTime, nullable=False)
class Tag(Base):
__tablename__ = 'gallery_tag'
id = Column(Integer, primary_key=True)
image_id = Column(Integer, ForeignKey('gallery_image.id'))
person_id = Column(Integer, nullable=False)
x1 = Column(Float, nullable=False)
x2 = Column(Float, nullable=False)
y1 = Column(Float, nullable=False)
y2 = Column(Float, nullable=False)
face_detected = Column(Boolean, nullable=False)
last_updated_date = Column(DateTime, nullable=False)
creation_date = Column(DateTime, nullable=False)
class SuggestedTag(Base):
__tablename__ = 'suggested_image_tagging_suggestedtag'
id = Column(Integer, primary_key=True)
image_id = Column(Integer, ForeignKey('gallery_image.id'))
person_id = Column(Integer, nullable=True)
probability = Column(Float, nullable=True)
x1 = Column(Float, nullable=False)
x2 = Column(Float, nullable=False)
y1 = Column(Float, nullable=False)
y2 = Column(Float, nullable=False)
last_updated_date = Column(DateTime, nullable=False)
creation_date = Column(DateTime, nullable=False)
class Family(Base):
__tablename__ = 'family_tree_family'
id = Column(Integer, primary_key=True)
class Person(Base):
__tablename__ = 'family_tree_person'
id = Column(Integer, primary_key=True)
family_id = Column(Integer, ForeignKey('family_tree_family.id'))
name = Column(String(250), nullable=False)
large_thumbnail = Column(String(250), nullable=True)
class FaceModel(Base):
__tablename__ = 'facial_recognition_facemodel'
family_id = Column(Integer, ForeignKey('family_tree_family.id'), primary_key=True)
fit_data_faces = Column(LargeBinary, nullable=False)
fit_data_person_ids = Column(LargeBinary, nullable=False)
n_neighbors = Column(Integer, nullable=False)
trained_knn_model = Column(LargeBinary, nullable=False)