Project rates finished refactoring

project_rates/constants.py

@@ -1,6 +1,26 @@
+from typing import Literal
+from dataclasses import dataclass
+
+from rest_framework.generics import ListAPIView
+
+from users.models import CustomUser
+
+NumericTypes: list[str] = ["int", "float"]
+
+ValidatableTypesNames = Literal[*NumericTypes, "bool", "str"]
+
 VERBOSE_TYPES = (
     ("str", "Текст"),
     ("int", "Целочисленное число"),
     ("float", "Число с плавающей точкой"),
     ("bool", "Да или нет"),
 )
+
+
+@dataclass
+class RatesRequestData:
+    program_id: int
+    user: CustomUser
+    view: ListAPIView
+    scored: bool | None = None
+    project_id: int | None = None

project_rates/models.py

@@ -1,10 +1,10 @@
 from django.contrib.auth import get_user_model
 from django.db import models
+from .constants import VERBOSE_TYPES
 
 from partner_programs.models import PartnerProgram
 from projects.models import Project
-from .constants import VERBOSE_TYPES
-from .validators import ProjectScoreValidate
+from .validators import ProjectScoreValidator
 
 User = get_user_model()
 
@@ -80,12 +80,13 @@ def __str__(self):
         return f"ProjectScore<{self.id}> - {self.criteria.name}"
 
     def save(self, *args, **kwargs):
-        ProjectScoreValidate(
-            criteria_type=self.criteria.type,
-            value=self.value,
-            criteria_min_value=self.criteria.min_value,
-            criteria_max_value=self.criteria.max_value,
-        )
+        data_to_validate = {
+            "criteria_type": self.criteria.type,
+            "value": self.value,
+            "criteria_min_value": self.criteria.min_value,
+            "criteria_max_value": self.criteria.max_value,
+        }
+        ProjectScoreValidator.validate(**data_to_validate)
         super().save(*args, **kwargs)
 
     class Meta:

project_rates/serializers.py

@@ -3,13 +3,34 @@
 from core.services import get_views_count
 from .models import Criteria, ProjectScore
 from projects.models import Project
-from .validators import ProjectScoreValidate
+from .validators import ProjectScoreValidator
 
 
 class ProjectScoreCreateSerializer(serializers.ModelSerializer):
+    def __init__(self, *args, **kwargs):
+        self.criteria_to_get = kwargs.pop("criteria_to_get", None)
+        super(ProjectScoreCreateSerializer, self).__init__(*args, **kwargs)
+
     class Meta:
         model = ProjectScore
         fields = ["criteria", "user", "project", "value"]
+        validators = []
+
+    def get_queryset(self):
+        return self.Meta.model.objects.filter(
+            criteria__id__in=self.criteria_to_get
+        ).select_related("criteria", "project", "user")
+
+    def validate(self, data):
+        criteria = data["criteria"]
+        data_to_validate = {
+            "criteria_type": criteria.type,
+            "value": data.get("value"),
+            "criteria_min_value": criteria.min_value,
+            "criteria_max_value": criteria.max_value,
+        }
+        ProjectScoreValidator.validate(**data_to_validate)
+        return data
 
 
 class CriteriaSerializer(serializers.ModelSerializer):
@@ -75,7 +96,7 @@ def serialize_data_func(criteria_to_get: list, data: dict):
     for criterion in data:
         needed_criteria = criteria.get(int(criterion["criterion_id"]))
 
-        ProjectScoreValidate(
+        ProjectScoreValidator(
             criteria_type=needed_criteria.type,
             value=criterion["value"],
             criteria_min_value=needed_criteria.min_value,

project_rates/services.py

@@ -0,0 +1,70 @@
+from django.db.models import Count, Q, QuerySet
+
+from project_rates.models import Criteria, ProjectScore
+from project_rates.serializers import (
+    CriteriaSerializer,
+    ProjectScoreSerializer,
+    ProjectScoreGetSerializer,
+)
+from projects.models import Project
+
+
+def get_querysets(RatesRequestData) -> dict[str, QuerySet]:
+    program_id = RatesRequestData.program_id
+    project_id = RatesRequestData.project_id
+    user = RatesRequestData.user
+
+    criterias = Criteria.objects.prefetch_related("partner_program").filter(
+        partner_program_id=program_id
+    )
+    scores = ProjectScore.objects.prefetch_related("criteria").filter(
+        criteria__in=criterias.values_list("id", flat=True), user=user
+    )
+
+    if project_id:
+        projects = [Project.objects.get(id=project_id)]
+    else:
+        projects = Project.objects.filter(
+            partner_program_profiles__partner_program_id=program_id
+        ).distinct()
+
+    if RatesRequestData.scored:
+        criterias_quantity = len(criterias)
+        projects = projects.annotate(
+            user_scores_count=Count("scores", filter=Q(scores__user=user))
+        ).filter(user_scores_count=criterias_quantity)
+
+    if not project_id:
+        projects = RatesRequestData.view.paginate_queryset(projects)
+
+    return {
+        "criterias_queryset": criterias,
+        "scores_queryset": scores,
+        "projects_queryset": projects,
+    }
+
+
+def serialize_project_criterias(querysets: dict[str, QuerySet]) -> list[dict]:
+    criteria_serializer = CriteriaSerializer(querysets["criterias_queryset"], many=True)
+    scores_serializer = ProjectScoreSerializer(querysets["scores_queryset"], many=True)
+
+    projects_serializer = ProjectScoreGetSerializer(
+        querysets["projects_queryset"],
+        context={
+            "data_criterias": criteria_serializer.data,
+            "data_scores": scores_serializer.data,
+        },
+        many=True,
+    )
+    return projects_serializer.data
+
+
+def count_scored_criterias(project_data: dict):
+    filled_values = sum(
+        1
+        for criteria in project_data["criterias"]
+        if criteria["name"] == "Комментарий" or criteria.get("value")
+    )
+
+    if filled_values == len(project_data["criterias"]):
+        project_data["is_scored"] = True

project_rates/urls.py

@@ -4,12 +4,10 @@
     RateProject,
     RateProjects,
     RateProjectsDetails,
-    ScoredProjects,
 )
 
 urlpatterns = [
     path("rate/<int:project_id>", RateProject.as_view()),
     path("<int:program_id>", RateProjects.as_view()),
-    path("scored/<int:program_id>", ScoredProjects.as_view()),
     path("details", RateProjectsDetails.as_view()),
 ]

project_rates/validators.py

@@ -1,32 +1,38 @@
-class ProjectScoreValidate:
-    def __init__(self, **kwargs):
-        self.criteria_type = kwargs.get("criteria_type")
-        self.value = kwargs.get("value")
-        self.criteria_min_value = kwargs.get("criteria_min_value")
-        self.criteria_max_value = kwargs.get("criteria_max_value")
+from project_rates.constants import ValidatableTypesNames, NumericTypes
 
-        self._validate_data_type()
-        self._validate_numeric_limits()
 
-    def _validate_data_type(self):
-        if self.criteria_type in ["float", "int"]:
+class ProjectScoreValidator:
+    @classmethod
+    def validate(cls, **kwargs):
+        criteria_type: ValidatableTypesNames = kwargs.get("criteria_type")
+        value: str = kwargs.get("value")
+        criteria_min_value: float | None = kwargs.get("criteria_min_value")
+        criteria_max_value: float | None = kwargs.get("criteria_max_value")
+
+        cls._validate_data_type(criteria_type, value)
+        if criteria_type in NumericTypes:
+            cls._validate_numeric_limits(
+                criteria_min_value, criteria_max_value, float(value)
+            )
+
+    @staticmethod
+    def _validate_data_type(criteria_type: str, value: str):
+        if criteria_type in NumericTypes:
             try:
-                float(self.value)
+                float(value)
             except ValueError:
                 raise ValueError("Введённое значение не соответствует формату!")
             except TypeError:
                 raise TypeError("Вы не ввели никакие данные!")
 
-        elif (self.criteria_type == "bool") and (self.value not in ["True", "False"]):
+        elif (criteria_type == "bool") and (value not in ["True", "False"]):
             raise TypeError("Введённое значение не соответствует формату!")
 
-    def _validate_numeric_limits(self):
-        if self.criteria_type in ["int", "float"]:
-            if self.criteria_min_value is not None and self.criteria_min_value > float(
-                self.value
-            ):
-                raise ValueError("Оценка этого критерия принизила допустимые значения!")
-            elif self.criteria_max_value is not None and self.criteria_max_value < float(
-                self.value
-            ):
-                raise ValueError("Оценка этого критерия превысила допустимые значения!")
+    @staticmethod
+    def _validate_numeric_limits(
+        min_value: float | None, max_value: float | None, value: float
+    ):
+        if min_value is not None and min_value > value:
+            raise ValueError("Оценка этого критерия ниже допустимого значения!")
+        elif max_value is not None and max_value < value:
+            raise ValueError("Оценка этого критерия превысила допустимое значение!")