def network_vars(user, database):
"""Compute vars for a given user for the network email.
Returns:
a dict with all vars required for the template, or None if no email
should be sent.
"""
if not user.projects:
logging.info('User has no project')
return None
project = user.projects[0]
registered_months_ago = campaign.get_french_months_ago(
user.registered_at.ToDatetime())
if not registered_months_ago:
logging.warning('User registered only recently (%s)',
user.registered_at)
return None
job_group_info = jobs.get_group_proto(database,
project.target_job.job_group.rome_id)
in_target_domain = job_group_info.in_domain
if not in_target_domain:
logging.warning('Could not find a target domain (%s)',
project.target_job.job_group)
return None
worst_frustration = next(
(f for f in (user_pb2.NO_OFFER_ANSWERS, user_pb2.MOTIVATION)
if f in user.profile.frustrations), None)
is_hairdresser_or_in_marseille = \
project.target_job.job_group.rome_id.startswith('D') or \
project.mobility.city.departement_id == '13'
other_job_in_city = 'coiffeur à Marseille'
if is_hairdresser_or_in_marseille:
other_job_in_city = 'secrétaire à Lyon'
return dict(
campaign.get_default_vars(user), **{
'registeredMonthsAgo':
registered_months_ago,
'inTargetDomain':
in_target_domain,
'frustration':
user_pb2.Frustration.Name(worst_frustration)
if worst_frustration else '',
'otherJobInCity':
other_job_in_city,
'jobInCity':
'{} {}'.format(
french.lower_first_letter(
french.genderize_job(project.target_job,
user.profile.gender)),
french.in_city(strip_district(project.mobility.city.name))),
'emailInUrl':
parse.quote(user.profile.email),
'statusUpdateUrl':
campaign.get_status_update_link(user.user_id, user.profile),
})
def _get_network_vars(user: user_pb2.User,
database: Optional[pymongo.database.Database] = None,
**unused_kwargs: Any) -> Optional[Dict[str, str]]:
"""Compute vars for a given user for the network email.
Returns:
a dict with all vars required for the template, or None if no email
should be sent.
"""
project = user.projects[0]
if project.network_estimate != 1:
logging.info('User has a good enough network')
return None
assert database
job_group_info = jobs.get_group_proto(database,
project.target_job.job_group.rome_id)
if not job_group_info:
logging.warning('Could not find job group info for "%s"',
project.target_job.job_group.rome_id)
return None
in_target_domain = job_group_info.in_domain
if not in_target_domain:
logging.warning('Could not find a target domain (%s)',
project.target_job.job_group)
return None
worst_frustration = next(
(f for f in (user_pb2.NO_OFFER_ANSWERS, user_pb2.MOTIVATION)
if f in user.profile.frustrations), None)
is_hairdresser_or_in_marseille = \
project.target_job.job_group.rome_id.startswith('D') or \
project.city.departement_id == '13'
other_job_in_city = 'coiffeur à Marseille'
if is_hairdresser_or_in_marseille:
other_job_in_city = 'secrétaire à Lyon'
job = french.lower_first_letter(
french.genderize_job(project.target_job, user.profile.gender))
in_city = french.in_city(strip_district(project.city.name))
return dict(
campaign.get_default_coaching_email_vars(user), **{
'inTargetDomain':
in_target_domain,
'frustration':
user_pb2.Frustration.Name(worst_frustration)
if worst_frustration else '',
'otherJobInCity':
other_job_in_city,
'jobInCity':
f'{job} {in_city}',
'emailInUrl':
parse.quote(user.profile.email),
})
def _in_city(scoring_project: scoring_base.ScoringProject) -> str:
translated = scoring_project.translate_static_string(
'à {city_name}',
is_genderized=False,
).format(city_name=scoring_project.details.city.name)
if translated.startswith('à '):
# This is probably French, let's use a specific rule.
return french.in_city(scoring_project.details.city.name)
return translated
def test_in_city(self) -> None:
"""Test the in_city function."""
test_cases = [
_CityPrefixTestCase('Regular city name', 'Toulouse', 'à Toulouse'),
_CityPrefixTestCase('Contract "à" + "Le"', 'Le Mans', 'au Mans'),
_CityPrefixTestCase('Lowercase "La" as first word', 'La Ferté',
'à la Ferté'),
_CityPrefixTestCase('Do not lowercase "La" as prefix', 'Laval',
'à Laval'),
_CityPrefixTestCase('Contract "à" + "Les"', 'Les Ulis',
'aux Ulis'),
_CityPrefixTestCase('Lowercase "L\'"', "L'Arbresle",
"à l'Arbresle"),
]
for description, city_name, expected in test_cases:
self.assertEqual(expected, french.in_city(city_name), description)
def _get_network_vars(
user: user_pb2.User, *, database: mongo.NoPiiMongoDatabase,
**unused_kwargs: Any) -> dict[str, str]:
"""Compute vars for a given user for the network email.
Returns:
a dict with all vars required for the template, or None if no email
should be sent.
"""
if not user.projects:
raise scoring.NotEnoughDataException('No project yet', {'projects.0'})
project = user.projects[0]
if project.network_estimate != 1:
raise campaign.DoNotSend('User has a good enough network')
in_target_domain = _get_in_target_domain(project.target_job.job_group.rome_id, database)
worst_frustration = next(
(f for f in (user_profile_pb2.NO_OFFER_ANSWERS, user_profile_pb2.MOTIVATION)
if f in user.profile.frustrations),
None)
is_hairdresser_or_in_marseille = \
project.target_job.job_group.rome_id.startswith('D') or \
project.city.departement_id == '13'
other_job_in_city = 'coiffeur à Marseille'
if is_hairdresser_or_in_marseille:
other_job_in_city = 'secrétaire à Lyon'
job = french.lower_first_letter(french.genderize_job(
project.target_job, user.profile.gender))
in_city = french.in_city(strip_district(project.city.name))
return campaign.get_default_coaching_email_vars(user) | {
'inTargetDomain': in_target_domain,
'frustration':
user_profile_pb2.Frustration.Name(worst_frustration) if worst_frustration else '',
'otherJobInCity': other_job_in_city,
'jobInCity': f'{job} {in_city}',
'emailInUrl': parse.quote(user.profile.email),
}
def _get_imt_vars(user: user_pb2.User,
database: Optional[pymongo.database.Database] = None,
**unused_kwargs: Any) -> Optional[Dict[str, Any]]:
"""Compute vars for the "IMT" email."""
project = user.projects[0]
assert database
scoring_project = scoring.ScoringProject(project, user, database)
genderized_job_name = french.lower_first_letter(
french.genderize_job(project.target_job, user.profile.gender))
departement_id = project.city.departement_id
rome_id = project.target_job.job_group.rome_id
local_diagnosis = scoring_project.local_diagnosis()
if not local_diagnosis.HasField('imt'):
logging.info('User market has no IMT data')
return None
imt = local_diagnosis.imt
shown_sections = []
market_stress_section = _make_market_stress_section(
imt.yearly_avg_offers_per_10_candidates)
if market_stress_section:
shown_sections.append('marketStress')
application_modes_section = _make_application_mode_section(
scoring_project.get_best_application_mode(), project, user.user_id)
if application_modes_section:
shown_sections.append('applicationModes')
departements_section = _make_departements_section(
departement_id,
_get_best_departements_for_job_group(rome_id, database),
project.area_type, database)
if departements_section:
shown_sections.append('departements')
employment_types_section = _make_employment_type_section(
imt.employment_type_percentages)
if employment_types_section:
shown_sections.append('employmentTypes')
months_section = _make_months_section(imt.active_months)
if months_section:
shown_sections.append('months')
if len(shown_sections) < 3:
logging.info('Only %d section(s) to be shown for user (%s).',
len(shown_sections), shown_sections)
return None
imt_link = 'http://candidat.pole-emploi.fr/marche-du-travail/statistiques?' \
f'codeMetier={project.target_job.code_ogr}&codeZoneGeographique={departement_id}&' \
'typeZoneGeographique=DEPARTEMENT'
in_departement = geo.get_in_a_departement_text(database, departement_id)
job_name_in_departement = f'{genderized_job_name} {in_departement}'
return dict(
campaign.get_default_coaching_email_vars(user), **{
'applicationModes':
_make_section(application_modes_section),
'departements':
_make_section(departements_section),
'employmentType':
_make_section(employment_types_section),
'imtLink':
imt_link,
'inCity':
french.in_city(project.city.name),
'jobNameInDepartement':
job_name_in_departement,
'loginUrl':
campaign.create_logged_url(user.user_id),
'marketStress':
_make_section(market_stress_section),
'months':
_make_section(months_section),
'ofJobNameInDepartement':
french.maybe_contract_prefix('de ', "d'", job_name_in_departement),
'ofJobName':
french.maybe_contract_prefix('de ', "d'", genderized_job_name),
})
def _in_city(scoring_project: ScoringProject) -> str:
return french.in_city(scoring_project.details.city.name)
'%departementId':
lambda scoring_project: scoring_project.details.mobility.city.
departement_id,
'%eFeminine':
lambda scoring_project:
('e' if scoring_project.user_profile.gender == user_pb2.FEMININE else ''),
'%experienceDuration':
lambda scoring_project: _EXPERIENCE_DURATION.get(scoring_project.details.
seniority),
'%feminineJobName':
lambda scoring_project: french.lower_first_letter(
scoring_project.details.target_job.feminine_name),
'%inAWorkplace':
lambda scoring_project: scoring_project.job_group_info().in_a_workplace,
'%inCity':
lambda scoring_project: french.in_city(scoring_project.details.mobility.
city.name),
'%inDomain':
lambda scoring_project: scoring_project.job_group_info().in_domain,
'%inRegion':
_in_region,
'%jobGroupNameUrl':
lambda scoring_project: parse.quote(
unidecode.unidecode(scoring_project.details.target_job.job_group.name.
lower().replace(' ', '-').replace("'", '-'))),
'%jobId':
lambda scoring_project: scoring_project.details.target_job.code_ogr,
'%jobName':
_job_name,
# This in only the **number** of months, use as '%jobSearchLengthMonthsAtCreation mois'.
'%jobSearchLengthMonthsAtCreation':
_job_search_length_months_at_creation,
def christmas_vars(user: user_pb2.User,
now: datetime.datetime,
database: Optional[pymongo.database.Database] = None,
**unused_kwargs: Any) -> Optional[Dict[str, str]]:
"""Compute all variables required for the Christmas campaign."""
project = next((p for p in user.projects), project_pb2.Project())
job_search_started_months_ago = campaign.job_search_started_months_ago(
project, now)
if job_search_started_months_ago < 0:
started_searching_since = ''
elif job_search_started_months_ago < 2:
started_searching_since = 'depuis peu'
else:
try:
num_months = french.try_stringify_number(
round(job_search_started_months_ago))
started_searching_since = f'depuis {num_months} mois'
except NotImplementedError:
started_searching_since = 'depuis un moment'
# A city to commute to.
commute_city = next(
(city for a in project.advices for city in a.commute_data.cities), '')
if commute_city:
commute_city = french.in_city(commute_city)
commute_advice_url = campaign.get_deep_link_advice(user.user_id, project,
'commute')
if not commute_advice_url:
commute_city = ''
# A departement to relocate to.
relocate_departement = next(
(departement.name for a in project.advices
for departement in a.relocate_data.departement_scores), '')
assert database
if relocate_departement:
try:
departement_id = geo.get_departement_id(database,
relocate_departement)
relocate_departement = geo.get_in_a_departement_text(
database, departement_id)
except KeyError:
relocate_departement = ''
relocate_advice_url = campaign.get_deep_link_advice(
user.user_id, project, 'relocate')
if not relocate_advice_url:
relocate_departement = ''
# Whether the job may have freelancers.
job_group_info = jobs.get_group_proto(database,
project.target_job.job_group.rome_id)
could_freelance = job_group_info and job_group_info.has_freelancers
return dict(
campaign.get_default_vars(user), **{
'adviceUrlBodyLanguage':
campaign.get_deep_link_advice(user.user_id, project,
'body-language'),
'adviceUrlCommute':
commute_advice_url,
'adviceUrlCreateYourCompany':
campaign.get_deep_link_advice(user.user_id, project,
'create-your-company'),
'adviceUrlImproveInterview':
campaign.get_deep_link_advice(user.user_id, project,
'improve-interview'),
'adviceUrlRelocate':
relocate_advice_url,
'couldFreelance':
campaign.as_template_boolean(could_freelance),
'emailInUrl':
parse.quote(user.profile.email),
'inCommuteCity':
commute_city,
'inRelocateDepartement':
relocate_departement,
'startedSearchingSince':
started_searching_since,
})
def _christmas_vars(user: user_pb2.User, *, now: datetime.datetime,
database: mongo.NoPiiMongoDatabase,
**unused_kwargs: Any) -> dict[str, str]:
"""Compute all variables required for the Christmas campaign."""
if now.month != 12 and not user.features_enabled.alpha:
raise campaign.DoNotSend('Only send christmas email in December')
project = next((p for p in user.projects), project_pb2.Project())
job_search_started_months_ago = campaign.job_search_started_months_ago(
project, now)
if job_search_started_months_ago < 0:
started_searching_since = ''
elif job_search_started_months_ago < 2:
started_searching_since = 'depuis peu'
else:
try:
num_months = french.try_stringify_number(
round(job_search_started_months_ago))
started_searching_since = f'depuis {num_months} mois'
except NotImplementedError:
started_searching_since = 'depuis un moment'
# A city to commute to.
commute_city = next(
(city for a in project.advices for city in a.commute_data.cities), '')
if commute_city:
commute_city = french.in_city(commute_city)
commute_advice_url = campaign.get_deep_link_advice(user.user_id, project,
'commute')
if not commute_advice_url:
commute_city = ''
# A departement to relocate to.
relocate_departement = next(
(departement.name for a in project.advices
for departement in a.relocate_data.departement_scores), '')
if relocate_departement:
try:
departement_id = geo.get_departement_id(database,
relocate_departement)
relocate_departement = geo.get_in_a_departement_text(
database, departement_id)
except KeyError:
relocate_departement = ''
relocate_advice_url = campaign.get_deep_link_advice(
user.user_id, project, 'relocate')
if not relocate_advice_url:
relocate_departement = ''
# Whether the job may have freelancers.
job_group_info = jobs.get_group_proto(database,
project.target_job.job_group.rome_id)
could_freelance = job_group_info and job_group_info.has_freelancers
return campaign.get_default_coaching_email_vars(user) | {
'adviceUrlBodyLanguage':
campaign.get_deep_link_advice(user.user_id, project, 'body-language'),
'adviceUrlCommute':
commute_advice_url,
'adviceUrlCreateYourCompany':
campaign.get_deep_link_advice(user.user_id, project,
'create-your-company'),
'adviceUrlExploreOtherJobs':
campaign.get_deep_link_advice(user.user_id, project,
'explore-other-jobs'),
'adviceUrlImproveInterview':
campaign.get_deep_link_advice(user.user_id, project,
'improve-interview'),
'adviceUrlRelocate':
relocate_advice_url,
'adviceUrlVolunteer':
campaign.get_deep_link_advice(user.user_id, project, 'volunteer'),
'couldFreelance':
campaign.as_template_boolean(could_freelance),
'emailInUrl':
parse.quote(user.profile.email),
'inCommuteCity':
commute_city,
'inRelocateDepartement':
relocate_departement,
'nextYear':
str(now.year + 1),
'startedSearchingSince':
started_searching_since,
'year':
str(now.year),
}
def network_plus_vars(
user: user_pb2.User, *, database: mongo.NoPiiMongoDatabase,
**unused_kwargs: Any) -> dict[str, str]:
"""Compute vars for a given user for the network email.
Returns:
a dict with all vars required for the template, or None if no email
should be sent.
"""
if not user.projects:
raise scoring.NotEnoughDataException('No project yet', {'projects.0'})
project = user.projects[0]
if project.network_estimate < 2:
raise campaign.DoNotSend('User does not have a strong network')
rome_id = project.target_job.job_group.rome_id
in_target_domain = _get_in_target_domain(rome_id, database)
job_group_info = jobs.get_group_proto(database, rome_id)
assert job_group_info
application_modes = job_group_info.application_modes.values()
fap_modes = [fap_modes.modes for fap_modes in application_modes if len(fap_modes.modes)]
if not fap_modes:
raise scoring.NotEnoughDataException(
'No information about application modes for the target job',
{f'data.job_group_info.{rome_id}.application_modes'})
flat_fap_modes = [mode for modes in fap_modes for mode in modes]
network_percentages = [mode.percentage for mode in flat_fap_modes if (
mode.mode == job_pb2.PERSONAL_OR_PROFESSIONAL_CONTACTS)]
# We want to focus on the users for which network,
# as an application mode, has a substantial importance.
if not network_percentages:
raise campaign.DoNotSend(
'User is not targeting a job where networking is a main application mode')
scoring_project = scoring.ScoringProject(project, user, database=database)
average_network_percentage = sum(network_percentages) / len(network_percentages)
if average_network_percentage > 55:
network_application_importance = scoring_project.translate_static_string('que la majorité')
elif average_network_percentage >= 45:
network_application_importance = scoring_project.translate_static_string('que la moitié')
elif average_network_percentage >= 25:
network_application_importance = scoring_project.translate_static_string("qu'un tiers")
else:
raise campaign.DoNotSend(
'User is not targeting a job where networking is a main application mode')
worst_frustration = next(
(f for f in (user_profile_pb2.SELF_CONFIDENCE, user_profile_pb2.MOTIVATION)
if f in user.profile.frustrations),
None)
has_children = user.profile.family_situation in {
user_profile_pb2.FAMILY_WITH_KIDS, user_profile_pb2.SINGLE_PARENT_SITUATION}
age = datetime.date.today().year - user.profile.year_of_birth
max_young = 35
try:
in_departement = geo.get_in_a_departement_text(
database, project.city.departement_id,
city_hint=project.city, locale=user.profile.locale)
except KeyError:
raise scoring.NotEnoughDataException(
'Need departement info for phrasing',
{f'data.departements.{project.city.departement_id}'}) from None
job_group_name = french.lower_first_letter(project.target_job.job_group.name)
if (user.profile.locale or 'fr').startswith('fr'):
in_city = french.in_city(project.city.name)
else:
# TODO(pascal): Update the English template so that it follows the logic of "in city" and
# not "city". For now it's phrased as "near {{inCity}}".
in_city = project.city.name
return campaign.get_default_coaching_email_vars(user) | {
'frustration':
user_profile_pb2.Frustration.Name(worst_frustration) if worst_frustration else '',
'hasChildren': campaign.as_template_boolean(has_children),
'hasHighSchoolDegree': campaign.as_template_boolean(
user.profile.highest_degree >= job_pb2.BAC_BACPRO),
'hasLargeNetwork': campaign.as_template_boolean(project.network_estimate >= 2),
'hasWorkedBefore': campaign.as_template_boolean(
project.kind != project_pb2.FIND_A_FIRST_JOB),
'inCity': in_city,
'inTargetDomain': in_target_domain,
'isAbleBodied': campaign.as_template_boolean(not user.profile.has_handicap),
'isYoung': campaign.as_template_boolean(age <= max_young),
'jobGroupInDepartement': f'{job_group_name} {in_departement}',
'networkApplicationPercentage': network_application_importance,
}
def imt_vars(user, database):
"""Compute vars for the "IMT" email."""
if not user.projects:
logging.info('User has no project')
return None
project = user.projects[0]
genderized_job_name = french.lower_first_letter(
french.genderize_job(project.target_job, user.profile.gender))
departement_id = project.mobility.city.departement_id
rome_id = project.target_job.job_group.rome_id
diagnosis_key = '{}:{}'.format(departement_id, rome_id)
local_diagnosis = _LOCAL_DIAGNOSIS.get_collection(database).get(
diagnosis_key)
if not local_diagnosis:
logging.info('User market does not exist')
return None
imt = local_diagnosis.imt
if not imt:
logging.info('User market has no IMT data')
return None
shown_sections = 0
market_stress_section = _make_market_stress_section(
imt.yearly_avg_offers_per_10_candidates)
if market_stress_section:
shown_sections += 1
application_modes_section = _make_application_mode_section(
campaign.get_application_modes(rome_id, database), project.advices,
user.user_id)
if application_modes_section:
shown_sections += 1
departements_section = _make_departements_section(
project.mobility.city.departement_id,
_get_best_departements_for_job_group(rome_id, database),
project.mobility.area_type, database)
if departements_section:
shown_sections += 1
employment_types_section = _make_employment_type_section(
sorted(imt.employment_type_percentages, key=lambda e: e.percentage))
if employment_types_section:
shown_sections += 1
months_section = _make_months_section(imt.active_months)
if months_section:
shown_sections += 1
if shown_sections < 3:
logging.info('Only %d section(s) to be shown for user.',
shown_sections)
return None
imt_link = 'http://candidat.pole-emploi.fr/marche-du-travail/statistiques?' + \
'codeMetier={}&codeZoneGeographique={}&typeZoneGeographique=DEPARTEMENT'.format(
project.target_job.code_ogr, departement_id)
job_name_in_departement = '{} {}'.format(
genderized_job_name,
geo.get_in_a_departement_text(database,
project.mobility.city.departement_id))
return dict(
campaign.get_default_vars(user), **{
'applicationModes':
_make_section(application_modes_section),
'departements':
_make_section(departements_section),
'employmentType':
_make_section(employment_types_section),
'imtLink':
imt_link,
'inCity':
french.in_city(project.mobility.city.name),
'jobNameInDepartement':
job_name_in_departement,
'loginUrl':
campaign.create_logged_url(user.user_id),
'marketStress':
_make_section(market_stress_section),
'months':
_make_section(months_section),
'ofJobNameInDepartement':
french.maybe_contract_prefix('de ', "d'", job_name_in_departement),
'ofJobName':
french.maybe_contract_prefix('de ', "d'", genderized_job_name),
'showPs':
campaign.as_template_boolean(
_can_go_to_arles_hotellerie_event(rome_id, project.mobility)),
'statusUpdateUrl':
campaign.get_status_update_link(user.user_id, user.profile),
})
def network_plus_vars(user, database):
"""Compute vars for a given user for the network email.
Returns:
a dict with all vars required for the template, or None if no email
should be sent.
"""
if not user.projects:
logging.info('User has no project')
return None
project = user.projects[0]
registered_months_ago = campaign.get_french_months_ago(
user.registered_at.ToDatetime())
if not registered_months_ago:
logging.warning('User registered only recently (%s)',
user.registered_at)
return None
job_group_info = jobs.get_group_proto(database,
project.target_job.job_group.rome_id)
in_target_domain = job_group_info.in_domain
application_modes = job_group_info.application_modes.values()
if not in_target_domain:
logging.warning('Could not find a target domain (%s)',
project.target_job.job_group)
return None
fap_modes = [
fap_modes.modes for fap_modes in application_modes
if len(fap_modes.modes)
]
if not fap_modes:
return None
flat_fap_modes = [mode for modes in fap_modes for mode in modes]
network_percentages = [
mode.percentage for mode in flat_fap_modes
if (mode.mode == job_pb2.PERSONAL_OR_PROFESSIONAL_CONTACTS)
]
# We want to focus on the user for which network,
# as an application mode, has a substantial importance.
if not network_percentages:
return None
average_network_percentage = sum(network_percentages) / len(
network_percentages)
if average_network_percentage < 55:
network_application_importance = 'que la majorité'
if average_network_percentage >= 45 and average_network_percentage <= 55:
network_application_importance = 'que la moitié'
if average_network_percentage >= 25 and average_network_percentage < 45:
network_application_importance = "qu'un tiers"
else:
return None
worst_frustration = next(
(f for f in (user_pb2.SELF_CONFIDENCE, user_pb2.MOTIVATION)
if f in user.profile.frustrations), None)
has_children = user.profile.family_situation in {
user_pb2.FAMILY_WITH_KIDS, user_pb2.SINGLE_PARENT_SITUATION
}
age = datetime.date.today().year - user.profile.year_of_birth
max_young = 35
return dict(
campaign.get_default_vars(user), **{
'frustration':
user_pb2.Frustration.Name(worst_frustration)
if worst_frustration else '',
'hasChildren':
campaign.as_template_boolean(has_children),
'hasHandicap':
campaign.as_template_boolean(user.profile.has_handicap),
'hasHighSchoolDegree':
campaign.as_template_boolean(
user.profile.highest_degree >= job_pb2.BAC_BACPRO),
'hasLargeNetwork':
campaign.as_template_boolean(project.network_estimate >= 2),
'hasWorkedBefore':
campaign.as_template_boolean(
project.kind != project_pb2.FIND_A_FIRST_JOB),
'inCity':
french.in_city(project.mobility.city.name),
'inTargetDomain':
in_target_domain,
'isYoung':
campaign.as_template_boolean(age <= max_young),
'jobGroupInDepartement':
'{} {}'.format(
french.lower_first_letter(project.target_job.job_group.name),
geo.get_in_a_departement_text(
database, project.mobility.city.departement_id)),
'networkApplicationPercentage':
network_application_importance,
})
def network_plus_vars(user: user_pb2.User,
database: Optional[pymongo.database.Database] = None,
**unused_kwargs: Any) -> Optional[Dict[str, str]]:
"""Compute vars for a given user for the network email.
Returns:
a dict with all vars required for the template, or None if no email
should be sent.
"""
project = user.projects[0]
if project.network_estimate < 2:
logging.info('User does not have a strong network')
return None
assert database
job_group_info = jobs.get_group_proto(database,
project.target_job.job_group.rome_id)
if not job_group_info:
logging.warning('Could not find job group info for "%s"',
project.target_job.job_group.rome_id)
return None
in_target_domain = job_group_info.in_domain
application_modes = job_group_info.application_modes.values()
if not in_target_domain:
logging.warning('Could not find a target domain (%s)',
project.target_job.job_group)
return None
fap_modes = [
fap_modes.modes for fap_modes in application_modes
if len(fap_modes.modes)
]
if not fap_modes:
return None
flat_fap_modes = [mode for modes in fap_modes for mode in modes]
network_percentages = [
mode.percentage for mode in flat_fap_modes
if (mode.mode == job_pb2.PERSONAL_OR_PROFESSIONAL_CONTACTS)
]
# We want to focus on the user for which network,
# as an application mode, has a substantial importance.
if not network_percentages:
return None
average_network_percentage = sum(network_percentages) / len(
network_percentages)
if average_network_percentage > 55:
network_application_importance = 'que la majorité'
elif average_network_percentage >= 45:
network_application_importance = 'que la moitié'
elif average_network_percentage >= 25:
network_application_importance = "qu'un tiers"
else:
return None
worst_frustration = next(
(f for f in (user_pb2.SELF_CONFIDENCE, user_pb2.MOTIVATION)
if f in user.profile.frustrations), None)
has_children = user.profile.family_situation in {
user_pb2.FAMILY_WITH_KIDS, user_pb2.SINGLE_PARENT_SITUATION
}
age = datetime.date.today().year - user.profile.year_of_birth
max_young = 35
try:
in_departement = geo.get_in_a_departement_text(
database, project.city.departement_id)
except KeyError:
logging.warning('Could not find departement (%s)',
project.city.departement_id)
return None
job_group_name = french.lower_first_letter(
project.target_job.job_group.name)
return dict(
campaign.get_default_coaching_email_vars(user), **{
'frustration':
user_pb2.Frustration.Name(worst_frustration)
if worst_frustration else '',
'hasChildren':
campaign.as_template_boolean(has_children),
'hasHighSchoolDegree':
campaign.as_template_boolean(
user.profile.highest_degree >= job_pb2.BAC_BACPRO),
'hasLargeNetwork':
campaign.as_template_boolean(project.network_estimate >= 2),
'hasWorkedBefore':
campaign.as_template_boolean(
project.kind != project_pb2.FIND_A_FIRST_JOB),
'inCity':
french.in_city(project.city.name),
'inTargetDomain':
in_target_domain,
'isAbleBodied':
campaign.as_template_boolean(not user.profile.has_handicap),
'isYoung':
campaign.as_template_boolean(age <= max_young),
'jobGroupInDepartement':
f'{job_group_name} {in_departement}',
'networkApplicationPercentage':
network_application_importance,
})
