def get_clusters():
"""
This function uses meanshift to process the ticket \
data into process_clusters
"""
tickets = Ticket.query.all()
data = process_clusters(tickets)
return jsonify(data=data)
def get_clusters():
"""
This function uses meanshift to process the ticket \
data into process_clusters
"""
tickets = Ticket.query.all()
data = process_clusters(tickets)
return jsonify(data=data)
def render_clusters():
"""
This function takes the clusters created by the meanshift
algorithm in get_clusters and processes the clusters
to return details such as the average percent positive
of a positive ticket
"""
tickets = Ticket.query.all()
clusters = process_clusters(tickets)
data = get_cluster_info(clusters)
return render_template("customer_dashboard.html", data=data)
def get_cluster_details():
"""
This function takes the clusters created by the meanshift
algorithm in get_clusters and processes the clusters
to return details such as the average percent positive
of a positive ticket
"""
tickets = Ticket.query.all()
clusters = process_clusters(tickets)
data = get_cluster_info(clusters)
return jsonify(data=data)
def render_clusters():
"""
This function takes the clusters created by the meanshift
algorithm in get_clusters and processes the clusters
to return details such as the average percent positive
of a positive ticket
"""
tickets = Ticket.query.all()
clusters = process_clusters(tickets)
data = get_cluster_info(clusters);
return render_template("customer_dashboard.html", data=data)
def get_cluster_details():
"""
This function takes the clusters created by the meanshift
algorithm in get_clusters and processes the clusters
to return details such as the average percent positive
of a positive ticket
"""
tickets = Ticket.query.all()
clusters = process_clusters(tickets)
data = get_cluster_info(clusters);
return jsonify(data=data)
