def test_limits_on_reviews_per_resume_per_sme():
job = Job(id=1)
job.save()
sme = SME(job=job)
sme.save()
profile = Profile(job=job)
profile.save()
resume = ProfileResume(profile=profile)
resume.save()
assert choose_random_unreviewed_resume_for_sme(sme).id == resume.id
SMEFeedback(sme=sme, profile_resume=resume, should_interview=True).save()
SMEFeedback(sme=sme, profile_resume=resume, should_interview=True).save()
SMEFeedback(sme=sme, profile_resume=resume, should_interview=True).save()
new_resume = ProfileResume(profile=profile)
new_resume.save()
SMEFeedback(sme=sme, profile_resume=new_resume,
should_interview=False).save()
SMEFeedback(sme=sme, profile_resume=new_resume,
should_interview=False).save()
assert choose_random_unreviewed_resume_for_sme(sme) is None
def test_has_candidate_accepted_request_for_job_associated_with_user():
candidate_profile = Profile()
candidate_profile.save()
viewer_user = User.objects.create_user(username="******", password="******")
viewer_user.save()
assert not has_candidate_accepted_request_for_job_associated_with_user(candidate_profile.id, viewer_user.id)
job_family = JobFamily()
job_family.save()
job = Job(job_family=job_family)
job.save()
employer = Employer(job_family=job_family)
employer.save()
employer_job = EmployerJob(employer=employer, job=job)
employer_job.save()
EmployerUser(employer=employer, user=viewer_user).save()
employer_candidate = EmployerCandidate(profile=candidate_profile, employer_job=employer_job)
employer_candidate.save()
assert not has_candidate_accepted_request_for_job_associated_with_user(candidate_profile.id, viewer_user.id)
employer_candidate.responded = True
employer_candidate.accepted = True
employer_candidate.save()
assert has_candidate_accepted_request_for_job_associated_with_user(candidate_profile.id, viewer_user.id)
def test_loading_sme_feedback_page():
job = Job()
job.save()
sme = SME(guid="first", job=job)
sme.save()
client = Client()
url = "/sme_feedback/"
# load SME page with no token
page = client.get(url)
assert "error:" in contents_of_page(page).lower()
# load SME page with bad token
page = client.get(url + "?token=bad")
assert "error:" in contents_of_page(page).lower()
# load SME page with correct token
page = client.get(url + "?token=first")
assert "error:" not in contents_of_page(page).lower()
# there are no resumes yet, so the page should say "try again later"
assert "try again later" in contents_of_page(page).lower()
# let's add a resume and check that that message is gone
profile = Profile(job=job)
profile.save()
ProfileResume(profile=profile).save()
page = client.get(url + "?token=first")
assert "try again later" not in contents_of_page(page).lower()
assert "see description" in contents_of_page(page).lower()
def test_pipl_facebook_profiles():
job = Job()
job.save()
profile = Profile(job=job)
profile.save()
ProfileReverseLookup(profile=profile, provider='pipl', output=PIPL_EXAMPLE).save()
fb_profiles = get_facebook_profiles_for_profile(profile)
assert len(fb_profiles) == 2
def test_rereview_probability_for_job():
desired_probabilities = {
1: 1.0,
5: 0.95,
8: 0.4,
20: 0.4,
}
default_probability = 0.05
for job_id in (1, 5, 8, 20, 1000):
job = Job(id=job_id)
job.save()
assert rereview_probability_for_job(job) == desired_probabilities.get(
job_id, default_probability)
def test_resume_regions():
add_cities()
PA, NJ, CA = [
LookupState.objects.get(state_code=state_code)
for state_code in ["PA", "NJ", "CA"]
]
pa_region = LookupRegion(city="Philadelphia", state=PA)
pa_region.save()
ca_region = LookupRegion(city="San Francisco", state=CA)
ca_region.save()
job = Job()
job.save()
create_resumes_for_location(job, 3, "Philadelphia", PA)
create_resumes_for_location(job, 5, "Haddonfield", NJ)
create_resumes_for_location(job, 6, "San Francisco", CA)
all_resumes = ProfileResume.objects.filter(profile__job=job)
assert filter_resumes_by_region(all_resumes, None).count() == 14
assert filter_resumes_by_region(all_resumes, pa_region).count() == 8
assert filter_resumes_by_region(all_resumes, ca_region).count() == 6
pa_sme = SME(job=job, region=pa_region, guid="pa")
pa_sme.save()
ca_sme = SME(job=job, region=ca_region, guid="ca")
ca_sme.save()
for _ in range(20):
resume = choose_random_unreviewed_resume_for_sme(pa_sme)
assert resume.profile.state.state_code in ("PA", "NJ")
resume = choose_random_unreviewed_resume_for_sme(ca_sme)
assert resume.profile.state.state_code == "CA"
# test region radius
assert filter_resumes_by_region(all_resumes, pa_region).count() == 8
pa_region.radius = 100
pa_region.save()
assert filter_resumes_by_region(all_resumes, pa_region).count() == 8
pa_region.radius = 5
pa_region.save()
assert filter_resumes_by_region(all_resumes, pa_region).count() == 3
def test_create_and_remove_sme():
user = User.objects.create_user(username="******", password="******")
client = Client()
client.force_login(user)
assert SME.objects.count() == 0
family = JobFamily(family_name="nursing")
family.save()
job = Job(job_name="Nurse", id=1, job_family=family)
job.save()
sme_data = {
"first_name": "Bob",
"last_name": "Loblaw",
"email": "*****@*****.**",
"review_limit": "10",
"job": "1",
"pay_rate": "0.05"
}
# first try to add without having staff privilege
client.post(reverse("sme_manager:create_sme"), sme_data)
assert SME.objects.count() == 0
assert SME.objects.filter(active=True).count() == 0
user.is_staff = True
user.save()
client.post(reverse("sme_manager:create_sme"), sme_data)
assert SME.objects.count() == 1
assert SME.objects.filter(active=True).count() == 1
sme = SME.objects.first()
assert sme.first_name == "Bob"
assert sme.last_name == "Loblaw"
assert sme.job_id == 1
assert SMEPayRate.objects.count() == 1
pay_rate = SMEPayRate.objects.get(sme=sme)
assert pay_rate.pay_rate == Decimal("0.05")
sme_data = {"sme_id": SME.objects.first().id}
client.post(reverse("sme_manager:delete_sme", kwargs=sme_data))
assert SME.objects.count() == 1
assert SME.objects.filter(active=True).count() == 0
def test_sme_post():
job = Job(id=1)
job.save()
sme = SME(id=4, guid="four", job=job)
sme.save()
Profile(id=2, job_id=1).save()
ProfileResume(id=4, profile_id=2).save()
url = reverse("resumes:sme_feedback")
client = Client()
params = {
"token": "four",
"comment": "comment",
"should_interview": "1",
"resume_id": 4,
"feedback_guid": "1234",
"bscore_value": "501",
}
assert SMEFeedback.objects.count() == 0
client.post(url, params)
assert SMEFeedback.objects.count() == 1
client.post(url, params)
assert SMEFeedback.objects.count() == 1
feedback = SMEFeedback.objects.first()
assert feedback.bscore_value == 501
assert feedback.comment == "comment"
assert feedback.wrong_language is False
params['feedback_guid'] = "5678"
params['column_wrong_language'] = True
client.post(url, params)
assert SMEFeedback.objects.count() == 2
assert SMEFeedback.objects.filter(wrong_language=True).count() == 1
params['feedback_guid'] = "9abc"
params['token'] = "wrong"
with pytest.raises(Exception):
client.post(url, params)
assert SMEFeedback.objects.count() == 2
def test_rereview_probability_for_job():
job = Job(id=1)
job.save()
assert rereview_probability_for_job(job) == 0.01
guids = list(str(n) for n in range(5000))
for _ in range(600):
resume = create_resume_for_job(job)
resume.save()
sme = SME(job=job, guid=guids.pop(0))
sme.save()
SMEFeedback(sme=sme, profile_resume=resume,
should_interview=False).save()
assert rereview_probability_for_job(job) == 0.60
# review each resume three more times
for resume in ProfileResume.objects.all():
for _ in range(3):
sme = SME(job=job, guid=guids.pop(0))
sme.save()
SMEFeedback(sme=sme, profile_resume=resume,
should_interview=False).save()
assert rereview_probability_for_job(job) == 0.01
# bring number of reviewed resumes up to 1400
for _ in range(800):
resume = create_resume_for_job(job)
resume.save()
sme = SME(job=job, guid=guids.pop(0))
sme.save()
SMEFeedback(sme=sme, profile_resume=resume,
should_interview=False).save()
assert rereview_probability_for_job(job) == 0.5
def set_up_test(is_bakround_employee):
insert_real_distance_records()
job_family = JobFamily()
job_family.save()
job = Job(job_family=job_family)
job.save()
employer = Employer(job_family=job_family)
employer.save()
employer_job = EmployerJob(job=job,
employer=employer,
city="Philadelphia",
state=LookupState.objects.get(state_code="PA"))
employer_job.save()
user = User.objects.create_user(username="******", email="b")
user.save()
employer_user = EmployerUser(user=user,
employer=employer,
is_bakround_employee=is_bakround_employee)
employer_user.save()
EmployerJobUser(employer_job=employer_job,
employer_user=employer_user).save()
PA = LookupState.objects.get(state_code="PA")
for i in range(5):
profile = Profile(first_name=str(i),
last_name=str(i),
job=job,
city="Philadelphia",
state=PA)
profile.save()
search_parameters = {
"page": 1,
"certs": None,
"score": None,
"skills": None,
"distance": 50,
"ordering": "score",
"languages": None,
"page_size": 20,
"experience": None,
"state_filter": None,
"min_education": None
}
saved_search = EmployerSavedSearch(employer_job=employer_job,
employer_user=employer_user,
search_parameters=search_parameters)
saved_search.save()
# Add two more profiles that appeared in a previous search. These should not
# go into the queue.
for i in [10, 11]:
profile = Profile(first_name=str(i),
last_name=str(i),
job=job,
city="Philadelphia",
state=PA)
profile.save()
EmployerSearchResult(profile=profile,
employer_user=employer_user,
employer_saved_search=saved_search,
opened=True).save()
def test_new_page_sizes():
insert_real_distance_records()
create_search_view()
PA = LookupState.objects.get(state_code="PA")
job = Job("job name")
job.save()
for i in range(90):
profile = Profile(job=job,
first_name="{}".format(i),
last_name="_",
city="Philadelphia",
state=PA)
profile.save()
Score(job=job,
profile=profile,
score_value=700-i).save()
for page_number in (0, 1, 2, 3, 4):
search = find_fresh_profiles_for_criteria(
job_id=job.id,
city="Philadelphia",
state=PA,
distance=100,
ordering='score',
page_number=page_number,
page_size=20,
)
profiles = search['profiles']
assert len(profiles) == 10 if page_number == 4 else 20
assert first_names_of_profiles(profiles) == \
[str(i) for i in range(20*page_number, 20*page_number+20) if i < 90]
for page_number in (0, 1):
search = find_fresh_profiles_for_criteria(
job_id=job.id,
city="Philadelphia",
state=PA,
distance=100,
ordering='score',
page_number=page_number,
page_size=50,
)
profiles = search['profiles']
assert len(profiles) == 40 if page_number == 1 else 50
assert first_names_of_profiles(profiles) == \
[str(i) for i in range(50 * page_number, 50 * page_number + 50) if i < 90]
for page_number in (0, 1, 2, 3, 4):
search = find_profiles_for_criteria(
job_id=job.id,
city="Philadelphia",
state=PA,
distance=100,
ordering='score',
page_number=page_number,
page_size=20,
)
profiles = search['profiles']
assert len(profiles) == 10 if page_number == 4 else 20
assert first_names_of_profiles(profiles) == \
[str(i) for i in range(20 * page_number, 20 * page_number + 20) if i < 90]
for page_number in (0, 1):
search = find_profiles_for_criteria(
job_id=job.id,
city="Philadelphia",
state=PA,
distance=100,
ordering='score',
page_number=page_number,
page_size=50,
)
profiles = search['profiles']
assert len(profiles) == 40 if page_number == 1 else 50
assert first_names_of_profiles(profiles) == \
[str(i) for i in range(50 * page_number, 50 * page_number + 50) if i < 90]
def test_closeability():
insert_real_distance_records()
PA = LookupState.objects.get(state_code="PA")
profile = Profile(id=19)
profile.save()
attach_experience_to_profiles({profile.id: profile})
assert average_time_in_each_job(profile) == timedelta(days=0)
job_family = JobFamily(id=1)
job_family.save()
job = Job(job_family=job_family)
job.save()
employer = Employer(id=1)
employer.save()
employer_job = EmployerJob(id=1,
employer_id=1,
job=job,
city="Philadelphia",
state=PA)
employer_job.save()
cache.clear()
clos = fetch_closeability_metric_for_profile_ids([19], 1)
assert list(clos.keys()) == [19]
assert isinstance(clos[19], float)
assert clos[19] == -1.0
profile.city = "Philadelphia"
profile.state = PA
profile.save()
cache.clear()
assert fetch_closeability_metric_for_profile_ids([19], 1)[19] == 0.0
assert time_in_current_job(profile).days == 0
now = timezone.now()
ProfileExperience(profile=profile,
start_date=now - timedelta(days=365 * 10),
end_date=now - timedelta(days=365),
is_current_position=False).save()
ProfileExperience(profile=profile,
start_date=now - timedelta(days=180),
city="Philadelphia",
state=PA,
is_current_position=True).save()
attach_experience_to_profiles({profile.id: profile})
assert time_in_current_job(profile).days == 180
# the profile's total work time is a little less than 9.5 years
average_time = average_time_in_each_job(profile)
assert 365 * 4.5 < average_time.days < 365 * 5
cache.clear()
new_metric = fetch_closeability_metric_for_profile_ids([19], 1)[19]
assert abs(new_metric - 0.5) < 0.1
# ==================================================================
# to test batching, we'll calculate the metric for 1000 profiles now
profile_ids = list(range(1000, 2000))
for pid in profile_ids:
Profile(id=pid, city="Philadelphia", state=PA).save()
ProfileExperience(profile=profile,
start_date=now - timedelta(days=365),
end_date=now - timedelta(days=30),
is_current_position=False).save()
cache.clear()
metrics = fetch_closeability_metric_for_profile_ids(profile_ids, 1)
# make sure we have a result for every profile
assert sorted(metrics.keys()) == profile_ids