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Merge pull request #111 from Hestia-Homes/feature/tasks

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Feature/tasks
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Jun-te Kim 2025-11-26 18:37:01 +00:00 • committed by GitHub
commit 85762f7b4d
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1 changed files with 39 additions and 2 deletions
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41
etl/month_end_automation_wave_3_layout.py
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@ -22,6 +22,8 @@ class BoardID(Enum):
_9641491000 = "WATFORD_WARM_HOMES"
_9671463094 = "SEDDON"
_9929454382 = "NCHA SHDF Wave 3 Main Operation Board"
_18232420839 = "Powys County Council"
_18380751311 = "Devon County Council"
board_ids = [
@ -32,6 +34,8 @@ board_ids = [
"9641491000", # Watford Warm Homes
"9671463094", # Seddon
"9929454382", # NCHA SHDF Wave 3 Main Operation Board
"18232420839", # Powys County Council:
"18380751311", # Devon County Council
]
empty = "Rate card info missing"
@ -39,6 +43,39 @@ empty = "Rate card info missing"
rate_cards = {}
check_with_andres = "Check with Andres!!!"
rate_card_data_powys = {
"job_type": [
"RA", "ATT", "Coordination Stage 1 v1", "Coordination Stage 1 v2 remodel", "Coordination Stage 1 v3 remodel",
"Design Archetype Complex", "Design Archetype Simple", "Design Repetitive Simple", "Design Repetitive Complex", "Coordination Stage 2", "Lodgement phase 1", "Full lodgement phase 2",
"Post EPR", "Post EPC", "Post ATT", "retrofit evaluation",
"RA no show", "ATT no show", "post EPC no show", "Full cost MTP", "measure modelling", "design type not specified"
],
"rate": [
259, 125,280, 125, 125,
650, check_with_andres, check_with_andres, 225, 175,
95, 60, empty, empty, 95,
60, 40, 40, 40, empty, empty, check_with_andres
]
}
rate_cards.update({"18232420839": pd.DataFrame(rate_card_data_powys)})
rate_card_data_devon = {
"job_type": [
"RA", "ATT", "Coordination Stage 1 v1", "Coordination Stage 1 v2 remodel", "Coordination Stage 1 v3 remodel",
"Design Archetype Complex", "Design Archetype Simple", "Design Repetitive Simple", "Design Repetitive Complex", "Coordination Stage 2", "Lodgement phase 1", "Full lodgement phase 2",
"Post EPR", "Post EPC", "Post ATT", "retrofit evaluation",
"RA no show", "ATT no show", "post EPC no show", "Full cost MTP", "measure modelling", "design type not specified"
],
"rate": [
empty, empty,empty, empty, empty,
empty, empty, empty, empty, empty,
empty, empty, empty, empty, empty,
empty, empty, empty, empty, empty, empty, check_with_andres
]
}
rate_cards.update({"18380751311": pd.DataFrame(rate_card_data_devon)})
rate_card_data_watford_warm_homes = {
"job_type": [
"RA", "ATT", "Coordination Stage 1 v1", "Coordination Stage 1 v2 remodel", "Coordination Stage 1 v3 remodel",
@ -308,10 +345,10 @@ for board, all_records in board_to_record.items():
# Lodgement Phase 1
lodg1 = get_df(df, "lodgement phase 1 invoicing status", ["to invoice"], "Lodgement Phase 1")
if not lodg1.empty:
filtered_dfs(lodg1)
filtered_dfs.append(lodg1)
# Full Lodgement Phase
lodg2 = get_df(df, "full lodgement invoicing status", ["to invoice"], "Full lodgement phase 2")
lodg2 = get_df(df, "lodgement phase 2 invoicing status", ["to invoice"], "Full lodgement phase 2")
if not lodg2.empty:
filtered_dfs.append(lodg2)