def create_project_sample(customer_name, user_id=None):
if not current_user.is_authenticated:
if user_id is None:
print('not logged in')
return redirect(url_for('login'))
if request.method == 'POST':
dataset = [
{'name':'sample.csv', 'type':'Forecasting Timeseries Data', 'file_attributes':[0,0], 'datasetID':'sample.csv', 'status':'Active'},
{'name':'sample.csv', 'type':'Item Attributes', 'file_attributes':[0,0], 'datasetID':'sample1.csv', 'status':'Active'},
]
pname = customer_name
#if pname is None or len(pname) == 0:
# pname = "Sample"
ptype = "Forecasting"
project_id = int(str(uuid.uuid4().int)[:6])
date = str(datetime.datetime.utcnow())
#project_id, user_id, pname, ptype, dataset, date
new_project = Project(project_id, user_id, pname, ptype, dataset, date)
new_project.save_to_mongo()
return redirect(url_for('project_dashboard', project_id=project_id))
def create_project_sample(customer_name, user_id=None):
"""
Creates a sample customer user via ADMIN dashboard
Allows an ADMIN user to create sample customer
through its dashboard and set all DATA required
AUTOMATICALLY. It created the user and saves all the files
required in necessary order.\n\n
method: POST\n
POST: API usage, acts a api to login user\n\n
Args:
customer_name (str): name of the customer name need to be sent in url, like GET
user_id (str): Id of the the user need to be sent in url, like GET (optional)
Returns:
redirect: url for the admin dashboard on success
"""
if not current_user.is_authenticated:
if user_id is None:
print('not logged in')
return redirect(url_for('login'))
if request.method == 'POST':
dataset = [
{
'name': 'sample.csv',
'type': 'Forecasting Timeseries Data',
'file_attributes': [0, 0],
'datasetID': 'sample.csv',
'status': 'Active'
},
{
'name': 'sample.csv',
'type': 'Item Attributes',
'file_attributes': [0, 0],
'datasetID': 'sample1.csv',
'status': 'Active'
},
]
pname = customer_name
#if pname is None or len(pname) == 0:
# pname = "Sample"
ptype = "Forecasting"
project_id = int(str(uuid.uuid4().int)[:6])
date = str(datetime.datetime.utcnow())
#project_id, user_id, pname, ptype, dataset, date
new_project = Project(project_id, user_id, pname, ptype, dataset, date)
new_project.save_to_mongo()
return redirect(url_for('project_dashboard', project_id=project_id))
def create_project():
if not current_user.is_authenticated:
print('not logged in')
return redirect(url_for('login'))
data = Project.from_user(current_user.user_id)
all_data = []
html = None
project_id = None
titles = None
if request.method == 'POST':
f_1 = request.files['file_1']
f_2 = request.files['file_2']
filename_one = str(uuid.uuid4())[:8] + "." + f_1.filename.rsplit(
'.', 1)[1].lower()
if not f_2:
f_2 = f_1
filename_two = str(uuid.uuid4())[:8] + "." + f_2.filename.rsplit(
'.', 1)[1].lower()
f_1.save(app.config['UPLOAD_FOLDER'] + "dataset/" +
secure_filename(filename_one))
f_2.save(app.config['UPLOAD_FOLDER'] + "dataset/" +
secure_filename(filename_two))
dataset = [{
'name': filename_one,
'type': 'Forecasting Timeseries Data',
'file_attributes': [0, 0],
'datasetID': filename_one,
'status': 'Active'
}, {
'name': filename_two,
'type': 'Item Attributes',
'file_attributes': [0, 0],
'datasetID': filename_two,
'status': 'Active'
}]
pname = request.form['pname']
ptype = request.form['ptype']
user_id = current_user.user_id
project_id = int(str(uuid.uuid4().int)[:6])
date = str(datetime.datetime.utcnow())
#project_id, user_id, pname, ptype, dataset, date
new_project = Project(project_id, user_id, pname, ptype, dataset, date)
new_project.save_to_mongo()
return redirect(url_for('project_dashboard', project_id=project_id))
def create_project():
"""
Create customer user via ADMIN dashboard
Allows an ADMIN user to create customer
through its dashboard and set all DATA required
MANUALLY. It created the user and saves all the files
required in necessary order.\n\n
method: POST\n
POST: API usage, acts a api to craete customer user\n
params should be in a FLASK FORM json format (Form data).\n\n
Args:
form_data: data retrived from Flask form from the frontend
file_1: Data set for the user specifying feature file needed to for time series forecasting
file_2: optional file for attributes
Returns:
redirect: url for the newely creadted user or redirects to root.
form_data = {
'name': type=str
'lname': type=str)
'gender': type=str
'phone': type=str
'address': type=str
'city': type=str
'zipcode': type=str
'state': type=str
'username': type=str
'password': type=str
'email': type=str
}
file_1 = file upload from CSV
file_2 = file upload from CSV optional
"""
if not current_user.is_authenticated:
print('not logged in')
return redirect(url_for('login'))
data = Project.from_user(current_user.user_id)
all_data = []
html = None
project_id = None
titles = None
if request.method == 'POST':
f_1 = request.files['file_1']
f_2 = request.files['file_2']
filename_one = str(uuid.uuid4())[:8] + "." + f_1.filename.rsplit(
'.', 1)[1].lower()
if not f_2:
f_2 = f_1
filename_two = str(uuid.uuid4())[:8] + "." + f_2.filename.rsplit(
'.', 1)[1].lower()
f_1.save(app.config['UPLOAD_FOLDER'] + "dataset/" +
secure_filename(filename_one))
f_2.save(app.config['UPLOAD_FOLDER'] + "dataset/" +
secure_filename(filename_two))
dataset = [{
'name': filename_one,
'type': 'Forecasting Timeseries Data',
'file_attributes': [0, 0],
'datasetID': filename_one,
'status': 'Active'
}, {
'name': filename_two,
'type': 'Item Attributes',
'file_attributes': [0, 0],
'datasetID': filename_two,
'status': 'Active'
}]
pname = request.form['pname']
ptype = request.form['ptype']
user_id = current_user.user_id
project_id = int(str(uuid.uuid4().int)[:6])
date = str(datetime.datetime.utcnow())
#project_id, user_id, pname, ptype, dataset, date
new_project = Project(project_id, user_id, pname, ptype, dataset, date)
new_project.save_to_mongo()
return redirect(url_for('project_dashboard', project_id=project_id))
