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identified 9 additional has worth analysing

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Khalim Conn-Kowlessar 2024-03-07 17:11:44 +00:00
parent c4af2251f4
commit ae714e42a6
1 changed files with 7 additions and 5 deletions
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12
etl/eligibility/ha_15_32/ha_analysis_batch_3.py
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@ -4403,14 +4403,16 @@ def app():
# Add in:
# TODO: Remove ECO3 sales from HA25
priority_has = [
"HA1", "HA6", "HA7", "HA14", "HA15", "HA16", "HA24", "HA25", "HA28", "HA32", "HA39", "HA41", "HA50", "HA107",
"HA1", "HA6", "HA7", "HA14", "HA15", "HA16", "HA24", "HA25", "HA28", "HA32", "HA39", "HA41", "HA48",
"HA50", "HA107",
]
# Next HAs to do: 14 [DONE], 15[DONE], 32 [DONE], 33 [Input format is 4 parts and no eco4 jobs identified - come
# back on this],
# Then: 28 [DONE],
# 41, 48, 50
# back on this], 28 [DONE], 41 [DONE], 50 [DONE],
# 48 [WIP],
# Consider for ECO4: 2, 63, 12, 13, 136, 117
# COnsider for GBIS: 56, 35, 34
# Ignore for now:
# TODO: 38[problematic, but no ECO4], 10 problematic (no eligibility), 20 has barely any in
# 38 [problematic, but no ECO4], 10 problematic (no eligibility), 20 has barely any in
# Filter down the directories to only the priority HAs
directories = [d for d in directories if d.split("/")[2] in priority_has]