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")
def postSaveLead(request, lead, updated_fields, created=False, state_changed=False, sync=False):
mail = False
if lead.send_email:
mail = True
lead.send_email = False
lead.save()
# Log it
LogEntry.objects.log_action(
user_id = request.user.pk,
content_type_id = ContentType.objects.get_for_model(lead).pk,
object_id = lead.pk,
object_repr = force_text(lead),
action_flag = ADDITION,
change_message = ", ".join(updated_fields),
)
if mail:
try:
fromAddr = request.user.email or "*****@*****.**"
send_lead_mail(lead, request, fromAddr=fromAddr,
fromName="%s %s" % (request.user.first_name, request.user.last_name))
messages.add_message(request, messages.INFO, ugettext("Lead sent to business mailing list"))
except Exception as e:
messages.add_message(request, messages.ERROR, ugettext("Failed to send mail: %s") % e)
if settings.TELEGRAM_IS_ENABLED:
try:
bot = telegram.bot.Bot(token=settings.TELEGRAM_TOKEN)
sticker = None
url = get_parameter("HOST") + reverse("leads:detail", args=[lead.id, ])
if created:
msg = ugettext("New Lead !\n%(lead)s\n%(url)s") % {"lead": lead, "url":url }
sticker = settings.TELEGRAM_STICKERS.get("happy")
chat_group = "new_leads"
elif state_changed:
# Only notify when lead state changed to avoid useless spam
try:
change = "%s (%s)" % (lead.get_change_history()[0].change_message, lead.get_change_history()[0].user)
except:
change = ""
msg = ugettext("Lead %(lead)s has been updated\n%(url)s\n%(change)s") % {"lead": lead, "url": url, "change": change}
if lead.state == "WON":
sticker = settings.TELEGRAM_STICKERS.get("happy")
elif lead.state in ("LOST", "FORGIVEN"):
sticker = settings.TELEGRAM_STICKERS.get("sad")
chat_group = "leads_update"
else:
# No notification
chat_group = ""
for chat_id in settings.TELEGRAM_CHAT.get(chat_group, []):
bot.sendMessage(chat_id=chat_id, text=msg, disable_web_page_preview=True)
if sticker:
bot.sendSticker(chat_id=chat_id, sticker=sticker)
except Exception as e:
messages.add_message(request, messages.ERROR, ugettext("Failed to send telegram notification: %s") % e)
# Compute leads probability
if sync:
compute = compute_leads_state.now # Select synchronous flavor of computation function
else:
compute = compute_leads_state
if lead.state in ("WON", "LOST", "SLEEPING", "FORGIVEN"):
# Remove leads proba, no more needed
lead.stateproba_set.all().delete()
# Learn again. This new lead will now be used to training
compute(relearn=True)
else:
# Just update proba for this lead with its new features
compute(relearn=False, leads_id=[lead.id,])
# Update lead tags
compute_leads_tags()
# update lead similarity model
compute_lead_similarity()
# Create or update mission if needed
if lead.mission_set.count() == 0:
if lead.state in ("OFFER_SENT", "NEGOTIATION", "WON"):
create_default_mission(lead)
messages.add_message(request, messages.INFO, ugettext("A mission has been initialized for this lead."))
for mission in lead.mission_set.all():
if mission.subsidiary != lead.subsidiary:
mission.subsidiary = lead.subsidiary
mission.save()
if lead.state == "WON":
mission.probability = 100
mission.active = True
mission.save()
messages.add_message(request, messages.INFO, ugettext("Mission's probability has been set to 100%"))
elif lead.state in ("LOST", "FORGIVEN", "SLEEPING"):
mission.probability = 0
mission.active = False
mission.save()
messages.add_message(request, messages.INFO, ugettext("According mission has been archived"))
def postSaveLead(request,
lead,
updated_fields,
created=False,
state_changed=False,
sync=False):
mail = False
if lead.send_email:
mail = True
lead.send_email = False
lead.save()
# Log it
LogEntry.objects.log_action(
user_id=request.user.pk,
content_type_id=ContentType.objects.get_for_model(lead).pk,
object_id=lead.pk,
object_repr=force_text(lead),
action_flag=ADDITION,
change_message=", ".join(updated_fields),
)
if mail:
try:
fromAddr = request.user.email or "*****@*****.**"
send_lead_mail(lead,
request,
fromAddr=fromAddr,
fromName="%s %s" %
(request.user.first_name, request.user.last_name))
messages.add_message(
request, messages.INFO,
ugettext("Lead sent to business mailing list"))
except Exception as e:
messages.add_message(request, messages.ERROR,
ugettext("Failed to send mail: %s") % e)
if settings.TELEGRAM_IS_ENABLED:
try:
bot = telegram.bot.Bot(token=settings.TELEGRAM_TOKEN)
sticker = None
url = get_parameter("HOST") + reverse("leads:detail",
args=[
lead.id,
])
if created:
msg = ugettext("New Lead !\n%(lead)s\n%(url)s") % {
"lead": lead,
"url": url
}
sticker = settings.TELEGRAM_STICKERS.get("happy")
chat_group = "new_leads"
elif state_changed:
# Only notify when lead state changed to avoid useless spam
try:
change = "%s (%s)" % (
lead.get_change_history()[0].change_message,
lead.get_change_history()[0].user)
except:
change = ""
msg = ugettext(
"Lead %(lead)s has been updated\n%(url)s\n%(change)s") % {
"lead": lead,
"url": url,
"change": change
}
if lead.state == "WON":
sticker = settings.TELEGRAM_STICKERS.get("happy")
elif lead.state in ("LOST", "FORGIVEN"):
sticker = settings.TELEGRAM_STICKERS.get("sad")
chat_group = "leads_update"
else:
# No notification
chat_group = ""
for chat_id in settings.TELEGRAM_CHAT.get(chat_group, []):
bot.sendMessage(chat_id=chat_id,
text=msg,
disable_web_page_preview=True)
if sticker:
bot.sendSticker(chat_id=chat_id, sticker=sticker)
except Exception as e:
messages.add_message(
request, messages.ERROR,
ugettext("Failed to send telegram notification: %s") % e)
# Compute leads probability
if sync:
compute = compute_leads_state.now # Select synchronous flavor of computation function
else:
compute = compute_leads_state
if lead.state in ("WON", "LOST", "SLEEPING", "FORGIVEN"):
# Remove leads proba, no more needed
lead.stateproba_set.all().delete()
# Learn again. This new lead will now be used to training
compute(relearn=True)
else:
# Just update proba for this lead with its new features
compute(relearn=False, leads_id=[
lead.id,
])
# Update lead tags
compute_leads_tags()
# update lead similarity model
compute_lead_similarity()
# Create or update mission if needed
if lead.mission_set.count() == 0:
if lead.state in ("OFFER_SENT", "NEGOTIATION", "WON"):
create_default_mission(lead)
messages.add_message(
request, messages.INFO,
ugettext("A mission has been initialized for this lead."))
for mission in lead.mission_set.all():
if mission.subsidiary != lead.subsidiary:
mission.subsidiary = lead.subsidiary
mission.save()
if lead.state == "WON":
mission.probability = 100
mission.active = True
mission.save()
messages.add_message(
request, messages.INFO,
ugettext("Mission's probability has been set to 100%"))
elif lead.state in ("LOST", "FORGIVEN", "SLEEPING"):
mission.probability = 0
mission.active = False
mission.save()
messages.add_message(
request, messages.INFO,
ugettext("According mission has been archived"))
if lead.state in ("WON", "LOST", "SLEEPING", "FORGIVEN"):
# Remove leads proba, no more needed
lead.stateproba_set.all().delete()
# Learn again. This new lead will now be used to training
compute(relearn=True)
else:
# Just update proba for this lead with its new features
compute(relearn=False, leads_id=[
lead.id,
])
# Update lead tags
compute_leads_tags()
# update lead similarity model
compute_lead_similarity()
# Create or update mission if needed
if lead.mission_set.count() == 0:
if lead.state in ("OFFER_SENT", "NEGOTIATION", "WON"):
create_default_mission(lead)
messages.add_message(
request, messages.INFO,
ugettext("A mission has been initialized for this lead."))
for mission in lead.mission_set.all():
if mission.subsidiary != lead.subsidiary:
mission.subsidiary = lead.subsidiary
mission.save()
if lead.state == "WON":
mission.probability = 100