def add_tag(request):
"""Add a tag to a lead. Create the tag if needed"""
answer = {}
answer["tag_created"] = True # indicate if a tag was reused or created
answer["tag_url"] = "" # url on tag
answer["tag_name"] = "" # tag name
if request.POST["tag"]:
tagName = capitalize(request.POST["tag"])
lead = Lead.objects.get(id=int(request.POST["lead_id"]))
if tagName in lead.tags.all().values_list("name", flat=True):
answer["tag_created"] = False
lead.tags.add(tagName)
if lead.state not in ("WON", "LOST", "FORGIVEN"):
compute_leads_state(
relearn=False, leads_id=[
lead.id,
]
) # Update (in background) lead proba state as tag are used in computation
compute_lead_similarity() # update lead similarity model in background
tag = Tag.objects.filter(
name=tagName
)[0] # We should have only one, but in case of bad data, just take the first one
answer["tag_url"] = urlresolvers.reverse("leads.views.tag",
args=[
tag.id,
])
answer["tag_remove_url"] = urlresolvers.reverse(
"leads.views.remove_tag", args=[tag.id, lead.id])
answer["tag_name"] = tag.name
answer["id"] = tag.id
return HttpResponse(json.dumps(answer), content_type="application/json")
def remove_tag(request, tag_id, lead_id):
"""Remove a tag to a lead"""
answer = {}
answer["error"] = False
answer["id"] = tag_id
try:
tag = Tag.objects.get(id=tag_id)
lead = Lead.objects.get(id=lead_id)
lead.tags.remove(tag)
if lead.state not in ("WON", "LOST", "FORGIVEN"):
compute_leads_state(relearn=False, leads_id=[lead.id, ]) # Update (in background) lead proba state as tag are used in computation
compute_lead_similarity() # update lead similarity model in background
except (Tag.DoesNotExist, Lead.DoesNotExist):
answer["error"] = True
return HttpResponse(json.dumps(answer), content_type="application/json")
def remove_tag(request, tag_id, lead_id):
"""Remove a tag to a lead"""
answer = {}
answer["error"] = False
answer["id"] = tag_id
try:
tag = Tag.objects.get(id=tag_id)
lead = Lead.objects.get(id=lead_id)
lead.tags.remove(tag)
if lead.state not in ("WON", "LOST", "FORGIVEN"):
compute_leads_state(relearn=False, leads_id=[lead.id, ]) # Update (in background) lead proba state as tag are used in computation
compute_lead_similarity() # update lead similarity model in background
if settings.NEXTCLOUD_TAG_IS_ENABLED:
remove_lead_tag(lead.id, tag.id) # Remove the lead tag from the lead files
except (Tag.DoesNotExist, Lead.DoesNotExist):
answer["error"] = True
return HttpResponse(json.dumps(answer), content_type="application/json")
def add_tag(request):
"""Add a tag to a lead. Create the tag if needed"""
answer = {}
answer["tag_created"] = True # indicate if a tag was reused or created
answer["tag_url"] = "" # url on tag
answer["tag_name"] = "" # tag name
if request.POST["tag"]:
tagName = capitalize(request.POST["tag"])
lead = Lead.objects.get(id=int(request.POST["lead_id"]))
if tagName in lead.tags.all().values_list("name", flat=True):
answer["tag_created"] = False
lead.tags.add(tagName)
if lead.state not in ("WON", "LOST", "FORGIVEN"):
compute_leads_state(relearn=False, leads_id=[lead.id,]) # Update (in background) lead proba state as tag are used in computation
compute_lead_similarity() # update lead similarity model in background
if settings.NEXTCLOUD_TAG_IS_ENABLED:
tag_leads_files([lead.id]) # Update lead tags from lead files
tag = Tag.objects.filter(name=tagName)[0] # We should have only one, but in case of bad data, just take the first one
answer["tag_url"] = reverse("leads:tag", args=[tag.id, ])
answer["tag_remove_url"] = reverse("leads:remove_tag", args=[tag.id, lead.id])
answer["tag_name"] = tag.name
answer["id"] = tag.id
return HttpResponse(json.dumps(answer), content_type="application/json")