From bb9b8308be2642e629e95d3fb1eee66e17100a59 Mon Sep 17 00:00:00 2001
From: Khalim Conn-Kowlessar <kconnkowlessar@gmail.com>
Date: Tue, 2 Jan 2024 10:55:30 +0000
Subject: [PATCH] created test file for no epc

---
 etl/testing_data/no_epc_input.py | 42 ++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 etl/testing_data/no_epc_input.py

diff --git a/etl/testing_data/no_epc_input.py b/etl/testing_data/no_epc_input.py
new file mode 100644
index 00000000..0745ff7a
--- /dev/null
+++ b/etl/testing_data/no_epc_input.py
@@ -0,0 +1,42 @@
+"""
+This script will create an input csv for the recommendation engine and upload it to S3, which can be used for
+testing
+"""
+import pandas as pd
+from utils.s3 import save_csv_to_s3
+
+USER_ID = 8
+PORTFOLIO_ID = 57
+
+
+def app():
+    """
+    This portfolio is for testing windows recommendations
+    :return:
+    """
+
+    test_file = pd.DataFrame(
+        [
+            {"address": "21 Butler House", "postcode": "E2 0PN", "Notes": None},
+            {"address": "22 Butler House", "postcode": "E2 0PN", "Notes": None},
+            {"address": "23 Butler House", "postcode": "E2 0PN", "Notes": None},
+            {"address": "24 Butler House", "postcode": "E2 0PN", "Notes": None},
+        ]
+    )
+
+    # Store the data in s3
+    filename = f"{USER_ID}/{PORTFOLIO_ID}/no_epc.csv"
+    save_csv_to_s3(
+        dataframe=test_file,
+        bucket_name="retrofit-plan-inputs-dev",
+        file_name=filename
+    )
+
+    body = {
+        "portfolio_id": str(PORTFOLIO_ID),
+        "housing_type": "Social",
+        "goal": "Increase EPC",
+        "goal_value": "A",
+        "trigger_file_path": filename
+    }
+    print(body)