From e338459f666c034d9b60087c37dc9e4f6ca28802 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:22:21 +0000 Subject: [PATCH 1/5] Add price band --- src/template_code_location/ops/ops.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/src/template_code_location/ops/ops.py b/src/template_code_location/ops/ops.py index 3a73b18..92ce9cf 100644 --- a/src/template_code_location/ops/ops.py +++ b/src/template_code_location/ops/ops.py @@ -33,5 +33,8 @@ def transform_example_dataset(df: pd.DataFrame) -> pd.DataFrame: df["total_price"] = df["quantity"] * df["unit_price"] + df["price_band"] = df["total_price"].apply( + lambda value: "high" if value >= 25 else "standard" + ) return df From 84ae56368b28f37a7a4b7940ae150fc0dcb3e738 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:24:36 +0000 Subject: [PATCH 2/5] revert --- src/template_code_location/ops/ops.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/src/template_code_location/ops/ops.py b/src/template_code_location/ops/ops.py index 92ce9cf..3a73b18 100644 --- a/src/template_code_location/ops/ops.py +++ b/src/template_code_location/ops/ops.py @@ -33,8 +33,5 @@ def transform_example_dataset(df: pd.DataFrame) -> pd.DataFrame: df["total_price"] = df["quantity"] * df["unit_price"] - df["price_band"] = df["total_price"].apply( - lambda value: "high" if value >= 25 else "standard" - ) return df From 2fadac0176bbc2169e98af85a8a9e5d7d4d7c295 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:26:26 +0000 Subject: [PATCH 3/5] Add price band --- src/template_code_location/ops/ops.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/template_code_location/ops/ops.py b/src/template_code_location/ops/ops.py index 3a73b18..eb576e8 100644 --- a/src/template_code_location/ops/ops.py +++ b/src/template_code_location/ops/ops.py @@ -32,6 +32,9 @@ def transform_example_dataset(df: pd.DataFrame) -> pd.DataFrame: """Applies a simple transformation to the example dataset.""" df["total_price"] = df["quantity"] * df["unit_price"] - + + df["price_band"] = df["total_price"].apply( + lambda value: "high" if value >= 25 else "standard" + ) return df From c89bb8a3892a8c69439ce0df46d56f61606cd234 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:27:07 +0000 Subject: [PATCH 4/5] add example job, remove two other jobs --- src/template_code_location/repository.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/src/template_code_location/repository.py b/src/template_code_location/repository.py index 5e985d0..91914ee 100644 --- a/src/template_code_location/repository.py +++ b/src/template_code_location/repository.py @@ -11,9 +11,8 @@ from util_services.resources import s3_resource defs = Definitions( jobs=[ - example_job, + example_dataframe_demo_job, data_processing_job, - k_anonymity_job_s3, l_diversity_job_s3, t_closeness_job_s3, ], From 17369559fe13705c599086834dcd990ea3b238d4 Mon Sep 17 00:00:00 2001 From: Mary Brown Date: Mon, 15 Jun 2026 13:30:04 +0000 Subject: [PATCH 5/5] add k_anonymity back --- src/template_code_location/repository.py | 1 + 1 file changed, 1 insertion(+) diff --git a/src/template_code_location/repository.py b/src/template_code_location/repository.py index 91914ee..c3e25ac 100644 --- a/src/template_code_location/repository.py +++ b/src/template_code_location/repository.py @@ -13,6 +13,7 @@ defs = Definitions( jobs=[ example_dataframe_demo_job, data_processing_job, + k_anonymity_job_s3, l_diversity_job_s3, t_closeness_job_s3, ],