models.py
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from flask_admin.contrib.sqla import ModelView
from flaskr.core import generate_unique_id, models
from flask_sqlalchemy import SQLAlchemy
from flask_login import UserMixin, AnonymousUserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from yaml import safe_load as yaml_load
import enum
# These are not the emission "models" in the scientific meaning of the word.
# They are the SQL Database Models.
# These are also named Entities, in other conventions (we're following flasks")
# If you're looking for the Emission Models (aka scaling laws),
# look in `flaskr/laws/`.
db = SQLAlchemy()
class StatusEnum(enum.Enum):
pending = 'pending'
working = 'working'
success = 'success'
failure = 'failure'
class ScenarioEnum(enum.Enum):
one_to_one = 'one_to_one'
many_to_one = 'many_to_one'
one_to_many = 'one_to_many'
many_to_many = 'many_to_many'
class Estimation(db.Model):
id = db.Column(db.Integer(), primary_key=True)
public_id = db.Column(
db.Unicode(),
default=lambda: generate_unique_id(),
unique=True
)
email = db.Column(db.Unicode(1024))
first_name = db.Column(db.Unicode(1024)) # Antoine
last_name = db.Column(db.Unicode(1024)) # Goutenoir
institution = db.Column(db.Unicode(1024)) # IRAP
status = db.Column(db.Enum(StatusEnum), default=StatusEnum.pending)
# City, Country
# One address per line
origin_addresses = db.Column(db.UnicodeText())
destination_addresses = db.Column(db.UnicodeText())
# For (single, not round) trips below this distance, use the train
use_train_below_km = db.Column(db.Integer())
# One slug per line (or blank char?)
models_slugs = db.Column(db.UnicodeText())
# Deprecated, we detect this scenario from the amount of locations.
compute_optimal_destination = db.Column(db.Boolean())
# Outputs
scenario = db.Column(db.Enum(ScenarioEnum), default=ScenarioEnum.many_to_many)
output_yaml = db.Column(db.UnicodeText())
warnings = db.Column(db.UnicodeText())
errors = db.Column(db.UnicodeText())
def has_failed(self):
return self.status == StatusEnum.failure
_output_dict = None
def get_output_dict(self):
if self._output_dict is None:
if self._output_yaml is None:
self._output_dict = None
else:
self._output_dict = yaml_load(self.output_yaml)
return self._output_dict
def is_one_to_one(self):
return self.scenario == ScenarioEnum.one_to_one
def is_one_to_many(self):
return self.scenario == ScenarioEnum.one_to_many
def is_many_to_one(self):
return self.scenario == ScenarioEnum.many_to_one
def is_many_to_many(self):
return self.scenario == ScenarioEnum.many_to_many
_models = None
def get_models(self):
if self._models is None:
mdl_slugs = self.models_slugs.split("\n")
self._models = [m for m in models if m.slug in mdl_slugs]
return self._models
class EstimationView(ModelView):
# Show only name and email columns in list view
column_list = (
'public_id',
'status',
'first_name',
'last_name',
'models_slugs',
'scenario',
'origin_addresses',
'destination_addresses',
'warnings',
'errors',
)
# Enable search functionality - it will search for terms in
# name and email fields
# column_searchable_list = ('name', 'email')
column_filters = ('first_name', 'last_name')
# USERS #######################################################################
class User(db.Model, UserMixin):
id = db.Column(db.Integer(), primary_key=True)
username = db.Column(db.String())
password = db.Column(db.String())
def __init__(self, username, password):
self.username = username
self.set_password(password)
def set_password(self, password):
self.password = generate_password_hash(password)
def check_password(self, value):
return check_password_hash(self.password, value)
@property
def is_authenticated(self):
if isinstance(self, AnonymousUserMixin):
return False
else:
return True
def is_active(self):
return True
def is_anonymous(self):
if isinstance(self, AnonymousUserMixin):
return True
else:
return False
def get_id(self):
return self.id
def __repr__(self):
return '<User %r>' % self.username