828 optimize data retrieval and clean it up

src/backend_data_retrieval/data_retrieval_app/external_data_retrieval/cache.py

@@ -0,0 +1,15 @@
+from contextlib import contextmanager
+
+import redis
+
+from data_retrieval_app.external_data_retrieval.config import settings
+
+
+@contextmanager
+def get_cache():
+    cache = redis.from_url(str(settings.CACHE_URI), decode_responses=True)
+
+    try:
+        yield cache
+    finally:
+        cache.close()

src/backend_data_retrieval/data_retrieval_app/external_data_retrieval/config.py

@@ -1,7 +1,9 @@
 from pydantic import (
+    AnyUrl,
     HttpUrl,
     computed_field,
 )
+from pydantic_core import MultiHostUrl
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 
@@ -20,6 +22,22 @@ def BACKEND_BASE_URL(self) -> HttpUrl:
         else:
             return HttpUrl("http://src-backend-1:8000/api/api_v1")
 
+    REDIS_PORT: int = 6379
+    REDIS_SERVER: str
+    REDIS_CACHE: str = str(0)
+    REDIS_PASSWORD: str = ""
+
+    @computed_field  # type: ignore[prop-decorator]
+    @property
+    def CACHE_URI(self) -> AnyUrl:
+        return MultiHostUrl.build(
+            scheme="redis",
+            password=self.REDIS_PASSWORD,
+            host=self.REDIS_SERVER,
+            port=self.REDIS_PORT,
+            path=self.REDIS_CACHE,
+        )
+
     MANUAL_NEXT_CHANGE_ID: bool
     NEXT_CHANGE_ID: str
     OATH_ACC_TOKEN_CONTACT_EMAIL: str