initial setup

etl/eligibility/README.md

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+# Eligiblity
+
+This codebase is responsible for determining if properties look like they would be
+eligible for retrofit funding schemes. In order to do this, we use our SAP ML model, to score
+what the property would look like after a retrofit. We then compare this to the eligibility
+criteria of various schemes, to determing if the property looks likely to be eligible for funding.

etl/eligibility/ha_15_32/app.py

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+"""
+This process has been created to compare the model based eligibility process against the in-person process
+used by the Warmfront team, to identify which properties are eligible for ECO4 and GBIS funding. This
+work is being done in December 2023, prior to completion of acquisition
+"""
+
+import pandas as pd
+
+
+def load_data():
+    """
+    This function loads the asset lists and identified addresses for HA32 and HA15
+    :return:
+    """

etl/eligibility/ha_15_32/requirements.txt

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+pandas

keyzy_pilot.csv

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+address,postcode,Notes,,,,
+2 South Terrace,NN1 5JY,,,,,
+25 Albert Street,PO12 4TY,,,,,