[add]: refactor/clean up

app/salary_analytics/core/state.py

@@ -0,0 +1,64 @@
+from app.salary_analytics.services.main import SalaryAnalyticsPipeline
+from app.salary_analytics.services.data_loader import DataLoader
+
+
+class GlobalState:
+    def __init__(self):
+        self._pipeline = None
+        self._data_loader = None
+        self.df = None
+        self.salary_predictor = None
+        self.salary_earner_analyzer = None
+
+    # ---- Pipeline ----
+    @property
+    def pipeline(self):
+        if self._pipeline is None:
+            self._pipeline = SalaryAnalyticsPipeline()
+        return self._pipeline
+
+    @pipeline.setter
+    def pipeline(self, value):
+        self._pipeline = value
+
+    # ---- Data Loader ----
+    @property
+    def data_loader(self):
+        if self._data_loader is None:
+            self._data_loader = DataLoader()
+        return self._data_loader
+
+    @data_loader.setter
+    def data_loader(self, value):
+        self._data_loader = value
+
+    # ---- DataFrame ----
+    @property
+    def df(self):
+        return self._df
+
+    @df.setter
+    def df(self, value):
+        self._df = value
+
+    # ---- Salary Predictor ----
+    @property
+    def salary_predictor(self):
+        return self._salary_predictor
+
+    @salary_predictor.setter
+    def salary_predictor(self, value):
+        self._salary_predictor = value
+
+    # ---- Salary Earner Analyzer ----
+    @property
+    def salary_earner_analyzer(self):
+        return self._salary_earner_analyzer
+
+    @salary_earner_analyzer.setter
+    def salary_earner_analyzer(self, value):
+        self._salary_earner_analyzer = value
+
+
+state = GlobalState()
+