chelseatroy

from django.db import models

class Visualization(models.Model):
    name = models.CharField(primary_key=True, max_length=200)
    description = models.TextField()
    position = models.IntegerField(default=200)

    def __repr__ (self):
        return self.name

chelseatroy

from visualizations.models import Visualization

class InfectionRateVisualization(Visualization):

    class Meta:
        proxy = True

    def from_data(csvfile):
        department_instances = []
        infection_type = []

chelseatroy

from django.db import models

class Visualization(models.Model):
    name = models.CharField(primary_key=True, max_length=200)
    description = models.TextField()
    position = models.IntegerField(default=200)
    
    class = models.CharField(max_length=200) #We just added this line
    
    ...

chelseatroy

from __future__ import unicode_literals

from django.shortcuts import render
from models import Visualization
from exceptions import IncompleteDataException
from .forms import VisualizationForm
from django.contrib.auth.decorators import login_required

def _inject_visualization(name):
    if name == "infection_rate_visualization":

chelseatroy

from __future__ import unicode_literals

from django.shortcuts import render
from models import Visualization
from exceptions import IncompleteDataException
from .forms import VisualizationForm
from django.contrib.auth.decorators import login_required

VISUALIZATIONS = {
  "infection_rate_visualization": InfectionRateVisualization.objects.get(pk="infection_rate_visualization"),

chelseatroy

from __future__ import unicode_literals

from django.shortcuts import render
from models import Visualization
from exceptions import IncompleteDataException, ConstantizeException
from .forms import VisualizationForm
from django.contrib.auth.decorators import login_required

import inspect, re

chelseatroy

import numpy as np
import pandas as pd
import sklearn
import nltk

from sklearn.feature_extraction.text import TfidfVectorizer

class Content():
    _cached_data = None
    

chelseatroy

class Import  

    def import_workouts(rows)
        errors = []
  
        CSV.foreach(@import_file_path, {headers: true}) do |row|
            begin
                attributes = row.to_hash
                row.create(attributes)
                errors += row.failures

chelseatroy

class Import  

def import_workouts(rows)
   CSV.foreach(@import_file_path, {headers: true}) do |row|
      attributes = row.to_hash
      workout = Workout.new(attributes)
      
      unless workout.save
        workout.save(validate: false)
        workout.update_column(:status, :needs_revision)

chelseatroy

class Workout
  
  property :description, type: String
  property :date, type: DateTime
    
  enum status: [:needs_revision, :complete]
  property :status, default: :complete
  scope :complete, -> { where(status: :complete) }
  scope :needs_revision, -> { where(status: :needs_revision) }