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debugging local lambda run and updating the sap point checking condition

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This commit is contained in:
Khalim Conn-Kowlessar 2023-09-13 18:47:12 +01:00
parent cde303a0c0
commit c2fcd0041f
3 changed files with 4 additions and 8 deletions
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2
backend/app/db/connection.py
View file

@ -11,4 +11,4 @@ db_string = connection_string.format(
dbname=get_settings().DB_NAME,
)
db_engine = create_engine(db_string)
db_engine = create_engine(db_string, pool_size=20, max_overflow=5)

8
backend/app/plan/router.py
View file

@ -196,21 +196,17 @@ async def trigger_plan(body: PlanTriggerRequest):
epc_client = EpcClient(auth_token=get_settings().EPC_AUTH_TOKEN)
plan_input = read_csv_from_s3(bucket_name=bucket_name, filepath=body.trigger_file_path)
input_properties = []
for config in plan_input:
# We validate each record in the file. If the record is NOT valid, we need to handle this accordingly
# TODO: implment validation
# Create a record in db
property_id, is_new = create_property(
session, portfolio_id=body.portfolio_id, address=config['address'], postcode=config['postcode']
)
# if a new record was not created, we don't produduce recommendations
if not is_new:
continue
# TODO: Need to add heat demand target
create_property_targets(
session,
@ -403,7 +399,7 @@ async def trigger_plan(body: PlanTriggerRequest):
read_csv_from_s3(bucket_name=get_settings().PREDICTIONS_BUCKET, filepath=response["storage_filepath"])
)
predictions["RDSAP_CHANGE"] = predictions["RDSAP_CHANGE"].astype(float).round(0)
predictions["RDSAP_CHANGE"] = predictions["RDSAP_CHANGE"].astype(float).round(1)
predictions[['property_id', 'recommendation_id']] = predictions['id'].str.split('+', expand=True)
# Insert the predictions into the recommendations and run the optimiser
@ -419,7 +415,7 @@ async def trigger_plan(body: PlanTriggerRequest):
rec["recommendation_id"]
)]["RDSAP_CHANGE"].values[0]
if not rec["sap_points"]:
if rec["sap_points"] is None:
raise ValueError("Sap points missing")
input_measures = prepare_input_measures(recommendations[property_id], body.goal)

2
run_lambda_local.sh
View file

@ -20,7 +20,7 @@ fi
# Step 2: Build the Docker image
echo "Building Docker image..."
docker build -t $IMAGE_NAME:$TAG -f backend/docker/lambda.Dockerfile .
docker build --platform linux/amd64 -t $IMAGE_NAME:$TAG -f backend/docker/lambda.Dockerfile .
# Step 3: Run the Docker image with the emulator, .env file, and AWS credentials
echo "Starting the Docker container..."