Add read cache from s3

s3로 부터 저장된 캐시 데이터를 읽는 api를 구현했습니다.

s3/Dockerfile

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+FROM public.ecr.aws/lambda/python:3.10
+
+# Copy requirements.txt
+COPY requirements.txt ${LAMBDA_TASK_ROOT}
+
+#Set aws credentials
+ARG AWS_REGION_NAME
+ENV AWS_REGION_NAME=$AWS_REGION_NAME
+
+ARG AWS_ACCESS_KEY_ID
+ENV AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID
+
+ARG AWS_SECRET_ACCESS_KEY
+ENV AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY
+
+#Copy code
+COPY *.py ${LAMBDA_TASK_ROOT}
+
+# Install the specified packages
+RUN pip install -r requirements.txt
+
+# Set the CMD to your handler (could also be done as a parameter override outside of the Dockerfile)
+CMD [ "lambda_function.handler"]

s3/lambda_function.py

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+from datetime import datetime
+import json
+
+import boto3
+import pytz
+
+
+def read_json_from_s3(bucket_name: str, file_key: str):
+    s3 = boto3.client("s3")
+    response = s3.get_object(Bucket=bucket_name, Key=file_key)
+
+    object_data = json.loads(response["Body"].read())  # json 파일 정보
+    meta_data = response["LastModified"]  # 최종 캐싱 시간
+
+    last_cached_time = meta_data.astimezone(pytz.timezone("Asia/Seoul"))  # UTC -> Seoul
+    last_cached_time = datetime.strftime(
+        last_cached_time, "%Y-%m-%d %H:%M:%S"
+    )  # datetime -> str
+    return last_cached_time, object_data
+
+
+def handler(event=None, context=None):
+    response = None
+    bucket_name = "ssudobi-cache"
+    file_key = "cache"
+    try:
+        last_cached_time, data = read_json_from_s3(bucket_name, file_key)
+        response = {
+            "StatusCode": 200,
+            "last_cached_time": last_cached_time,
+            "data": data,
+        }
+
+    except Exception as e:
+        response = {"StatusCode": 500, "error": str(e)}
+
+    finally:
+        return response
+
+
+# print(read_json_from_s3("ssudobi-cache", "cache"))
+# print(handler())

s3/requirements.txt

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+boto3==1.28.30
+botocore==1.31.30
+pytz==2023.3