def score(self, project: scoring_base.ScoringProject) -> float:
job_search_length = project.get_search_length_now()
# User has not started their job search.
if job_search_length <= 0:
raise scoring_base.NotEnoughDataException(
'Search not started yet. We cannot say whether this is blocking.')
missing_fields: Set[str] = set()
if not project.details.total_interview_count:
missing_fields.add('projects.0.totalInterviewCount')
if not project.details.weekly_applications_estimate:
missing_fields.add('projects.0.weeklyApplicationsEstimate')
# Either negative or between 0 and 1.
interview_score = 1 - max(0, project.details.total_interview_count) / job_search_length
if interview_score <= 0:
# User has at least one interview per month, they don't need more tips on getting
# interviews.
return 0
if missing_fields:
raise scoring_base.NotEnoughDataException(
'Missing some information about applications', fields=missing_fields)
# Varies between 0 and 3.
application_score = _APPLICATION_PER_WEEK[project.details.weekly_applications_estimate] / 5
# Varies between 0 and 3.
return interview_score * application_score
def score_and_explain(self, project: scoring_base.ScoringProject) \
-> scoring_base.ExplainedScore:
"""Compute a score for the given ScoringProject."""
close_jobs = self.get_close_jobs(project)
search_since_nb_months = round(project.get_search_length_now())
score_modifier = 0
reasons: List[str] = []
if len(close_jobs.close_jobs) + len(close_jobs.evolution_jobs) < 2:
return scoring_base.NULL_EXPLAINED_SCORE
# TODO(cyrille): Make this more robust.
force_in_stuck_market = None
# TODO(cyrille): Rather use market_stress to avoid depending on diagnostic to be computed.
if project.details.diagnostic.category_id == 'stuck-market':
force_in_stuck_market = scoring_base.ExplainedScore(1, reasons)
if project.get_user_age() >= 45:
return force_in_stuck_market or scoring_base.NULL_EXPLAINED_SCORE
if project.details.passionate_level >= project_pb2.PASSIONATING_JOB:
score_modifier = -1
else:
reasons.append(project.translate_string(
"vous n'êtes pas trop attaché à votre métier"))
if project.details.job_search_has_not_started or search_since_nb_months <= 1:
return scoring_base.ExplainedScore(2 + score_modifier, reasons)
reasons = [
project.translate_string('vous cherchez depuis {} mois')
.format(search_since_nb_months)]
if search_since_nb_months >= 12:
return scoring_base.ExplainedScore(3, reasons)
if search_since_nb_months >= 9:
return scoring_base.ExplainedScore(2, reasons)
if search_since_nb_months >= 6:
return scoring_base.ExplainedScore(1, reasons)
return force_in_stuck_market or scoring_base.NULL_EXPLAINED_SCORE
def score(self, project: scoring_base.ScoringProject) -> float:
# TODO(cyrille): Find a way to make sure they're really desillusioned.
if project.get_search_length_now() < 3:
# User is probably not disillusioned yet.
return 0
if project.details.seniority < project_pb2.CARREER:
return 0
return max(0, min(3, project.get_user_age() - 50))
def score_and_explain(self, project: scoring_base.ScoringProject) \
-> scoring_base.ExplainedScore:
"""Compute a score for the given ScoringProject."""
frustration_reasons = list(self._get_frustrations_reasons(project))
its_easy = project.translate_static_string(
"c'est plus facile à faire qu'on peut le croire")
if frustration_reasons or project.get_search_length_now() > 3:
return scoring_base.ExplainedScore(
2, frustration_reasons or [its_easy])
return scoring_base.ExplainedScore(1, [its_easy])
def score_and_explain(self, project: scoring_base.ScoringProject) \
-> scoring_base.ExplainedScore:
"""Compute the score for a given project and explains it.
Requirements are:
- not having a driving license (duh)
- being older than 25 (we have other resources for younger people)
And for this specific help from PE:
- being registered as unemployed for more than 6 months
- be sure that a license would really help to get a job (market tension)
- not have too much allowances from PE
"""
# TODO(cyrille): Add tension market.
age = project.get_user_age()
# TODO(cyrille): Figure out in a notebook if junior salary from IMT would be more relevant.
expected_salary = project.salary_estimation()
if age < 25 or project.get_search_length_now(
) < 6 or expected_salary > 20000:
return scoring_base.NULL_EXPLAINED_SCORE
return _score_and_explain_after_filters(project)
