347 lines
11 KiB
Python
347 lines
11 KiB
Python
"""
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dashboard.py
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This module is used to write dashboard related views
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"""
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import datetime
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from django.core import serializers
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from django.db.models import Q
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from django.http import JsonResponse
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from django.shortcuts import render
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from django.utils.translation import gettext_lazy as _
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from base.models import Department, JobPosition
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from employee.models import EmployeeWorkInformation
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from horilla.decorators import login_required
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from recruitment.decorators import manager_can_enter
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from recruitment.models import Candidate, Recruitment, SkillZone, Stage
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def stage_type_candidate_count(rec, stage_type):
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"""
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This method is used find the count of candidate in recruitment
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"""
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candidates_count = 0
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for stage_obj in rec.stage_set.filter(stage_type=stage_type):
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candidates_count = candidates_count + len(
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stage_obj.candidate_set.filter(is_active=True)
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)
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return candidates_count
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@login_required
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@manager_can_enter(perm="recruitment.view_recruitment")
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def dashboard(request):
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"""
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This method is used to render dashboard for recruitment module
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"""
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candidates = Candidate.objects.all()
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stage_chart_count = 0
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vacancy_chart = Recruitment.objects.filter(closed=False, is_event_based=False)
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if vacancy_chart.exists():
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dep_vacancy = 1
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else:
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dep_vacancy = 0
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employee_info = EmployeeWorkInformation.objects.all()
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joining_list = []
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for rec in employee_info:
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if rec.date_joining != None:
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joining_list.append("OK")
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if joining_list != []:
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joining = 1
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else:
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joining = 0
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jobs = JobPosition.objects.all()
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all_job = []
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for job in jobs:
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jobpos = job.job_position
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all_job.append(jobpos)
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initial = []
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for job in jobs:
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ini = Candidate.objects.filter(
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job_position_id=job, stage_id__stage_type="initial"
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)
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initial.append(ini.count())
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test = []
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for job in jobs:
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tes = Candidate.objects.filter(job_position_id=job, stage_id__stage_type="test")
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test.append(tes.count())
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interview = []
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for job in jobs:
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inter = Candidate.objects.filter(
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job_position_id=job, stage_id__stage_type="interview"
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)
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interview.append(inter.count())
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hired = []
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for job in jobs:
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hire = Candidate.objects.filter(
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job_position_id=job, stage_id__stage_type="hired"
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)
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hired.append(hire.count())
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cancelled = []
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for job in jobs:
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cancelled_candidates = Candidate.objects.filter(
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job_position_id=job, stage_id__stage_type="cancelled"
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)
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cancelled.append(cancelled_candidates.count())
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job_data = list(zip(all_job, initial, test, interview, hired, cancelled))
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recruitment_obj = Recruitment.objects.filter(closed=False)
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ongoing_recruitments = len(recruitment_obj)
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for rec in recruitment_obj:
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data = [stage_type_candidate_count(rec, type[0]) for type in Stage.stage_types]
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for i in data:
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stage_chart_count += i
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if stage_chart_count >= 1:
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stage_chart_count = 1
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accepted = Candidate.objects.filter(offer_letter_status="accepted")
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accepted_count = accepted.count()
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recruitment_manager_mapping = {}
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for rec in recruitment_obj:
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recruitment_title = rec.title
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managers = []
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for manager in rec.recruitment_managers.all():
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name = manager.get_full_name()
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managers.append(name)
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recruitment_manager_mapping[recruitment_title] = managers
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total_vacancy = 0
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for openings in recruitment_obj:
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if openings.vacancy == None:
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pass
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else:
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total_vacancy += openings.vacancy
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hired_candidates = candidates.filter(
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Q(hired=True) | Q(stage_id__stage_type="hired")
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).distinct()
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total_candidates = len(candidates)
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total_hired_candidates = len(hired_candidates)
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conversion_ratio = 0
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hired_ratio = 0
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total_candidate_ratio = 0
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acceptance_ratio = 0
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if total_candidates != 0:
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conversion_ratio = f"{((total_hired_candidates / total_candidates) * 100):.1f}"
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if total_vacancy != 0:
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hired_ratio = f"{((total_hired_candidates / total_vacancy) * 100):.1f}"
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total_candidate_ratio = f"{((total_candidates / total_vacancy) * 100):.1f}"
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if total_hired_candidates != 0:
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acceptance_ratio = f"{((accepted_count / total_hired_candidates) * 100):.1f}"
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skill_zone = SkillZone.objects.filter(is_active=True)
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return render(
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request,
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"dashboard/dashboard.html",
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{
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"ongoing_recruitments": ongoing_recruitments,
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"total_candidate_ratio": total_candidate_ratio,
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"total_hired_candidates": total_hired_candidates,
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"conversion_ratio": conversion_ratio,
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"acceptance_ratio": acceptance_ratio,
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"onboard_candidates": hired_candidates.filter(
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onboarding_stage__isnull=False
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),
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"job_data": job_data,
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"total_vacancy": total_vacancy,
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"recruitment_manager_mapping": recruitment_manager_mapping,
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"hired_ratio": hired_ratio,
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"joining": joining,
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"dep_vacancy": dep_vacancy,
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"stage_chart_count": stage_chart_count,
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"onboarding_count": hired_candidates.filter(
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onboarding_stage__isnull=False
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).count(),
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"total_candidates": total_candidates,
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"skill_zone": skill_zone,
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},
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)
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@login_required
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@manager_can_enter(perm="recruitment.view_recruitment")
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def dashboard_pipeline(request):
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"""
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This method is used generate recruitment dataset for the dashboard
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"""
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recruitment_obj = Recruitment.objects.filter(closed=False)
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data_set = []
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labels = [type[1] for type in Stage.stage_types]
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for rec in recruitment_obj:
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data = [stage_type_candidate_count(rec, type[0]) for type in Stage.stage_types]
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if rec.candidate.all():
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data_set.append(
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{
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"label": (
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rec.title
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if rec.title is not None
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else f"""{rec.job_position_id}
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{rec.start_date}"""
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),
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"data": data,
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}
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)
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return JsonResponse(
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{
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"dataSet": data_set,
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"labels": labels,
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"message": _("No records available at the moment."),
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}
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)
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@login_required
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@manager_can_enter(perm="recruitment.view_recruitment")
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def dashboard_hiring(request):
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"""
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This method is used generate employee joining status for the dashboard
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"""
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selected_year = request.GET.get("id")
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employee_info = EmployeeWorkInformation.objects.filter(
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date_joining__year=selected_year
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)
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# Create a list to store the count of employees for each month
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employee_count_per_month = [0] * 12 # Initialize with zeros for all months
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# Count the number of employees who joined in each month for the selected year
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for info in employee_info:
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if isinstance(info.date_joining, datetime.date):
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month_index = info.date_joining.month - 1 # Month index is zero-based
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employee_count_per_month[
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month_index
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] += 1 # Increment the count for the corresponding month
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labels = [
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_("January"),
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_("February"),
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_("March"),
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_("April"),
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_("May"),
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_("June"),
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_("July"),
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_("August"),
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_("September"),
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_("October"),
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_("November"),
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_("December"),
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]
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data_set = [
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{
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"label": _("Employees joined in %(year)s") % {"year": selected_year},
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"data": employee_count_per_month,
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"backgroundColor": "rgba(236, 131, 25)",
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}
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]
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return JsonResponse({"dataSet": data_set, "labels": labels})
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@login_required
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@manager_can_enter(perm="recruitment.view_recruitment")
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def dashboard_vacancy(_request):
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"""
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This method is used to generate a recruitment vacancy chart for the dashboard
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"""
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recruitment_obj = Recruitment.objects.filter(closed=False, is_event_based=False)
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department = Department.objects.all()
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label = []
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data_set = [{"label": _("Openings"), "data": []}]
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for dep in department:
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vacancies_for_department = recruitment_obj.filter(
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job_position_id__department_id=dep
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)
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for rec in vacancies_for_department:
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if rec.vacancy is not None:
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label.append(dep.department)
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vacancies = [
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int(rec.vacancy) if rec.vacancy is not None else 0
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for rec in vacancies_for_department
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]
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data_set[0]["data"].append([sum(vacancies)])
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return JsonResponse({"dataSet": data_set, "labels": label})
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def get_open_position(request):
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"""
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This is an ajax method to render the open position to the recruitment
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Returns:
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obj: it returns the list of job positions
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"""
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rec_id = request.GET["recId"]
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recruitment_obj = Recruitment.objects.get(id=rec_id)
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queryset = recruitment_obj.open_positions.all()
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job_info = serializers.serialize("json", queryset)
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rec_info = serializers.serialize("json", [recruitment_obj])
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return JsonResponse({"openPositions": job_info, "recruitmentInfo": rec_info})
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@login_required
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@manager_can_enter(perm="recruitment.view_recruitment")
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def candidate_status(_request):
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"""
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This method is used to generate a CAndidate status chart for the dashboard
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"""
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not_sent_candidates = Candidate.objects.filter(
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offer_letter_status="not_sent"
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).count()
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sent_candidates = Candidate.objects.filter(offer_letter_status="sent").count()
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accepted_candidates = Candidate.objects.filter(
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offer_letter_status="accepted"
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).count()
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rejected_candidates = Candidate.objects.filter(
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offer_letter_status="rejected"
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).count()
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joined_candidates = Candidate.objects.filter(offer_letter_status="joined").count()
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data_set = []
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labels = ["Not Sent", "Sent", "Accepted", "Rejected", "Joined"]
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data = [
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not_sent_candidates,
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sent_candidates,
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accepted_candidates,
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rejected_candidates,
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joined_candidates,
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]
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for i in range(len(data)):
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data_set.append({"label": labels[i], "data": data[i]})
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# for i in range(len(data)):
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# if data[i] != 0:
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# data_set.append({
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# "label": labels[i],
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# "data": data[i]
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# })
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# # Remove labels corresponding to data points with value 0
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# labels = [label for label, d in zip(labels, data) if d != 0]
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return JsonResponse({"dataSet": data_set, "labels": labels})
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