working on dockerfile and handler and added new s3 bucket

infrastructure/terraform/main.tf

@@ -108,6 +108,12 @@ module "retrofit_sap_predictions" {
   allowed_origins = var.allowed_origins
 }
 
+module "retrofit_sap_data" {
+  source          = "./modules/s3"
+  bucketname      = "retrofit-data-${var.stage}"
+  allowed_origins = var.allowed_origins
+}
+
 
 # Set up the route53 record for the API
 module "route53" {

model_data/simulation_system/Dockerfiles/Dockerfile.prediction.lambda

@@ -1,20 +1,22 @@
 FROM public.ecr.aws/lambda/python:3.10
 
 # Set the working directory
-WORKDIR ${LAMBDA_TASK_ROOT}
+WORKDIR ${LAMBDA_TASK_ROOT}/simulation_system
 
 # Install necessary build tools - required to test locally
-# RUN yum install -y gcc python3-devel
+RUN yum install -y gcc python3-devel
 
 # Install python packages
 COPY requirements/predictions/predictions.txt ./simulation_system/requirements.txt
+COPY requirements/predictions/predictions-dev.txt ./simulation_system/requirements.txt
 RUN pip install --no-cache-dir -r ./simulation_system/requirements.txt
 
 # Copy the project code to the working directory
-COPY ./core ./simulation_system/core
-COPY ./MLModel ./simulation_system/MLModel
-COPY ./predictions.py ./simulation_system/predictions.py
-COPY ./handlers/predictions_app.py ./simulation_system/predictions_app.py
+COPY ./core ./core
+COPY ./MLModel ./MLModel
+COPY ./predictions.py ./predictions.py
+COPY ./handlers/predictions_app.py ./predictions_app.py
+COPY ./__init__.py ./__init__.py
 
 # Run off a lambda trigger
-CMD [ "simulation_system.predictions_app.handler" ]
+CMD [ "predictions_app.handler" ]

model_data/simulation_system/handlers/predictions_app.py

@@ -1,14 +1,16 @@
 import os
 import urllib.parse
-from ..predictions import prediction
+from predictions import prediction
 
 RUNTIME_ENVIRONMENT = os.environ.get("RUNTIME_ENVIRONMENT", "dev")
 
 
-def handler(event, context):
+def handler():
     """
     Take in event and trigger the prediction pipeline
     """
+    print("HIHIHI")
+    event = {}
 
     # Assuming a file in a bucket landing for now?
     # Assuming we have a model to use
@@ -43,3 +45,7 @@ def handler(event, context):
 
     except (Exception, KeyError, ValueError):
         print("Prediction failed")
+
+
+if __name__ == "__main__":
+    handler()

model_data/simulation_system/requirements/predictions/predictions.txt

@@ -1,3 +1,5 @@
 autogluon==0.8.2
 pandas==1.5.3
 s3fs==2023.6.0
+seaborn==0.12.2
+matplotlib==3.7.2