fix(): fix e2e ml tests, handle no entries for vacancies

src/template_project/application/resume/interactors/predict_model.py

@@ -46,7 +46,7 @@ class PredictModelInteractor:
 
     def _predict_salary(self, vacancies: list[VacancyInput], resume_skills: list[str]) -> tuple[Decimal, Decimal]:
         if not vacancies:
-            return Decimal(50000), Decimal(80000)
+            return Decimal(0), Decimal(0)
 
         vacancy_weights: list[float] = []
         for vacancy in vacancies:
@@ -56,7 +56,7 @@ class PredictModelInteractor:
 
         total_weight = sum(vacancy_weights)
         if total_weight == 0:
-            return Decimal(50000), Decimal(80000)
+            return Decimal(0), Decimal(0)
 
         weighted_from_sum = Decimal(0)
         weighted_to_sum = Decimal(0)
@@ -143,6 +143,9 @@ class PredictModelInteractor:
             if skill in candidate_skills
         }
 
+        if not candidate_skills:
+            return []
+
         frequencies = [skill_frequencies[skill] for skill in candidate_skills]
         avg_salaries = [float(skill_avg_salaries[skill]) for skill in candidate_skills]