def test_advice_spontaneous_application_extra_data(self, mock_get_lbb_companies):
"""Test that the advisor computes extra data for the "Spontaneous Application" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(job_group=job_pb2.JobGroup(rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(departement_id='14')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.local_diagnosis.insert_one({
'_id': '14:A1234',
'imt': {'applicationModes': {'Foo': {'first': 'SPONTANEOUS_APPLICATION'}}},
})
self.database.advice_modules.insert_one({
'adviceId': 'my-advice',
'triggerScoringModel': 'chantier-spontaneous-application',
'extraDataFieldName': 'spontaneous_application_data',
'isReadyForProd': True,
})
mock_get_lbb_companies.return_value = iter([
{'name': 'EX NIHILO'},
{'name': 'M.F.P MULTIMEDIA FRANCE PRODUCTIONS'},
])
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices if a.advice_id == 'my-advice')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual(
['EX NIHILO', 'M.F.P MULTIMEDIA FRANCE PRODUCTIONS'],
[c.name for c in advice.spontaneous_application_data.companies])
def test_advice_job_boards_extra_data(self):
"""Test that the advisor computes extra data for the "Find a Job Board" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(job_group=job_pb2.JobGroup(
rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='14')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.jobboards.insert_one({
'title': 'Indeed',
'filters': ['for-departement(14)']
})
self.database.advice_modules.insert_one({
'adviceId': 'job-boards',
'triggerScoringModel': 'advice-job-boards',
'extraDataFieldName': 'job_boards_data',
'isReadyForProd': True,
})
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices
if a.advice_id == 'job-boards')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual('Indeed', advice.job_boards_data.job_board_title)
self.assertFalse(advice.job_boards_data.is_specific_to_job_group)
self.assertTrue(advice.job_boards_data.is_specific_to_region)
def setUp(self):
super(SelectAdviceForEmailTestCase, self).setUp()
self.database = mongomock.MongoClient().test
self.database.advice_modules.insert_one({
'adviceId': 'easy-advice',
'isEasy': True,
})
advisor.clear_cache()
def test_advice_better_job_in_group_extra_data(self):
"""Test that the advisor computes extra data for the "Better Job in Group" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(
code_ogr='1234', job_group=job_pb2.JobGroup(rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='14')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.job_group_info.insert_one({
'_id':
'A1234',
'jobs': [
{
'codeOgr': '1234',
'name': 'Pilote'
},
{
'codeOgr': '5678',
'name': 'Pompier'
},
{
'codeOgr': '9012',
'name': 'Facteur'
},
],
'requirements': {
'specificJobs': [
{
'codeOgr': '5678',
'percentSuggested': 55,
},
{
'codeOgr': '1234',
'percentSuggested': 45,
},
],
},
})
self.database.advice_modules.insert_one({
'adviceId': 'my-advice',
'triggerScoringModel': 'advice-better-job-in-group',
'extraDataFieldName': 'better_job_in_group_data',
'isReadyForProd': True,
})
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices if a.advice_id == 'my-advice')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual('Pompier',
advice.better_job_in_group_data.better_job.name)
self.assertEqual(1, advice.better_job_in_group_data.num_better_jobs)
def setUp(self):
super(MaybeAdviseTestCase, self).setUp()
self.database = mongomock.MongoClient().test
self.database.action_templates.insert_one({
'_id': 'rec1CWahSiEtlwEHW',
'goal': 'Reorientation !',
})
self.user = user_pb2.User(features_enabled=user_pb2.Features(advisor=user_pb2.ACTIVE))
action.clear_cache()
advisor.clear_cache()
def test_advice_spontaneous_application_extra_data(self,
mock_get_lbb_companies):
"""Test that the advisor computes extra data for the "Spontaneous Application" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(job_group=job_pb2.JobGroup(
rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='14')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.job_group_info.insert_one({
'_id': 'A1234',
'applicationModes': {
'R4Z92': {
'modes': [{
'percentage': 36.38,
'mode': 'SPONTANEOUS_APPLICATION'
}, {
'percentage': 29.46,
'mode': 'PERSONAL_OR_PROFESSIONAL_CONTACTS'
}, {
'percentage': 18.38,
'mode': 'PLACEMENT_AGENCY'
}, {
'percentage': 15.78,
'mode': 'UNDEFINED_APPLICATION_MODE'
}],
}
},
})
self.database.advice_modules.insert_one({
'adviceId': 'my-advice',
'triggerScoringModel': 'advice-spontaneous-application',
'extraDataFieldName': 'spontaneous_application_data',
'isReadyForProd': True,
})
mock_get_lbb_companies.return_value = iter([
{
'name': 'EX NIHILO'
},
{
'name': 'M.F.P MULTIMEDIA FRANCE PRODUCTIONS'
},
])
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices if a.advice_id == 'my-advice')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual(
['EX NIHILO', 'M.F.P MULTIMEDIA FRANCE PRODUCTIONS'],
[c.name for c in advice.spontaneous_application_data.companies])
def clear_cache():
"""Clear all server caches.
This is an undocumented feature that allows us to clear a server's cache
without rebooting it. Anybody can use it, but it doesn't cost much apart
from 2 or 3 additional MongoDB requests on next queries.
"""
_JOB_GROUPS_INFO.reset_cache()
_CHANTIERS.reset_cache()
_SHOW_UNVERIFIED_DATA_USERS.clear()
advisor.clear_cache()
return 'Server cache cleared.'
def setUp(self):
super(_BaseTestCase, self).setUp()
self.database = mongomock.MongoClient().test
self.database.action_templates.insert_one({
'_id': 'rec1CWahSiEtlwEHW',
'goal': 'Reorientation !',
})
self.user = user_pb2.User(
features_enabled=user_pb2.Features(advisor=user_pb2.ACTIVE),
profile=user_pb2.UserProfile(name='Margaux',
gender=user_pb2.FEMININE))
advisor.clear_cache()
def setUp(self):
super(MailingTestCase, self).setUp()
mail_advice.DRY_RUN = False
self._db = mongomock.MongoClient().database
self._db.advice_modules.insert_one({
'adviceId': 'advice-to-send',
'emailFacts': ['Inbox 0 is awesome'],
'emailSubject': 'Advice Email Subject',
'emailSuggestionSentence': 'check your inbox',
'emailTitle': 'Advice Email Title',
})
self._now = datetime.datetime(2016, 11, 24, 10, 0, 0)
advisor.clear_cache()
def test_advice_improve_success_rate_extra_data(self):
"""Test that the advisor computes extra data for the "Improve Success Rate" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(job_group=job_pb2.JobGroup(
rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='14')),
job_search_length_months=6,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.local_diagnosis.insert_one({
'_id': '14:A1234',
'imt': {
'yearlyAvgOffersDenominator': 10,
'yearlyAvgOffersPer10Candidates': 2,
},
})
self.database.job_group_info.insert_one({
'_id': 'A1234',
'requirements': {
'skills': [{
'name': 'Humour'
}, {
'name': 'Empathie'
}],
'skillsShortText': '**Humour** et **empathie**',
},
})
self.database.advice_modules.insert_one({
'adviceId': 'improve-success',
'triggerScoringModel': 'advice-improve-resume',
'extraDataFieldName': 'improve_success_rate_data',
'isReadyForProd': True,
})
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices
if a.advice_id == 'improve-success')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertGreater(
advice.improve_success_rate_data.num_interviews_increase, 50)
self.assertFalse(advice.improve_success_rate_data.requirements.skills)
self.assertEqual(
'**Humour** et **empathie**',
advice.improve_success_rate_data.requirements.skills_short_text)
def test_advice_events_extra_data(self, mock_now):
"""Test that the advisor computes extra data for the "Events" advice."""
mock_now.return_value = datetime.datetime(2017, 8, 15)
project = project_pb2.Project(
target_job=job_pb2.Job(
code_ogr='1234', job_group=job_pb2.JobGroup(rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='75')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.advice_modules.insert_one({
'adviceId': 'my-advice',
'triggerScoringModel': 'advice-event',
'extraDataFieldName': 'events_data',
'isReadyForProd': True,
})
self.database.events.insert_many([
{
'title': 'AP HEROS CANDIDATS MADIRCOM - BORDEAUX',
'link':
'https://www.workuper.com/events/ap-heros-candidats-madircom-bordeaux',
'organiser': 'MADIRCOM',
'startDate': '2017-08-29',
},
{
'title':
'Le Salon du Travail et de la Mobilité Professionnelle',
'link':
'https://www.workuper.com/events/le-salon-du-travail-et-de-la-mobilite-'
'professionnelle',
'organiser':
'Altice Media Events',
'startDate':
'2018-01-19',
},
])
advisor.clear_cache()
self.user.features_enabled.alpha = True
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices if a.advice_id == 'my-advice')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual('AP HEROS CANDIDATS MADIRCOM - BORDEAUX',
advice.events_data.event_name)
def test_advice_volunteer_extra_data(self):
"""Test that the advisor computes extra data for the "Volunteer" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(
code_ogr='1234', job_group=job_pb2.JobGroup(rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='75')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.volunteering_missions.insert_one({
'_id':
'75',
'missions': [
{
'associationName': 'BackUp Rural'
},
{
'associationName': 'Construisons Ensemble Comment Faire'
},
],
})
self.database.advice_modules.insert_one({
'adviceId': 'my-advice',
'triggerScoringModel': 'advice-volunteer',
'extraDataFieldName': 'volunteer_data',
'isReadyForProd': True,
})
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices if a.advice_id == 'my-advice')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual(
['BackUp Rural', 'Construisons Ensemble Comment Faire'],
sorted(advice.volunteer_data.association_names))
def test_advice_association_help_extra_data(self):
"""Test that the advisor computes extra data for the "Find an association" advice."""
project = project_pb2.Project(
target_job=job_pb2.Job(
code_ogr='1234', job_group=job_pb2.JobGroup(rome_id='A1234')),
mobility=geo_pb2.Location(city=geo_pb2.FrenchCity(
departement_id='14')),
job_search_length_months=7,
weekly_applications_estimate=project_pb2.A_LOT,
total_interview_count=1,
)
self.database.associations.insert_many([
{
'name': 'Pôle emploi'
},
{
'name': 'SNC',
'filters': ['for-departement(14,15,16)']
},
{
'name': 'Ressort',
'filters': ['for-departement(69)']
},
])
self.database.advice_modules.insert_one({
'adviceId': 'my-advice',
'triggerScoringModel': 'advice-association-help',
'extraDataFieldName': 'associations_data',
'isReadyForProd': True,
})
advisor.clear_cache()
advisor.maybe_advise(self.user, project, self.database)
advice = next(a for a in project.advices if a.advice_id == 'my-advice')
self.assertEqual(project_pb2.ADVICE_RECOMMENDED, advice.status)
self.assertEqual('SNC', advice.associations_data.association_name)
def setUp(self):
super(SelectTipsForEmailTestCase, self).setUp()
self.database = mongomock.MongoClient().test
advisor.clear_cache()
