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upgrade storage type of rds to gp3
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parent
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commit
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4 changed files with 20 additions and 2 deletions
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@ -6,4 +6,7 @@ This script will fetch those failed subtasks, get the associated properties and
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from the database so that the subtasks can be restarted cleanly.
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Additionally, we wil find the problematic records and remove them
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Given we ran an EPC C scenario, we should check how many properties, below EPC C we have, that have no plan
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or recommendations in case something went wrong
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"""
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@ -697,8 +697,12 @@ class TrainingDataset(BaseDataset):
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for x in missing_descriptions:
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desc_cleaner = cleaner(x)
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cleaned = desc_cleaner.process()
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# IF NODATA, REMAP TO NONE VALUES
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if all((pd.DataFrame(cleaned, index=[0]).T)[0] == False):
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# IF NODATA, REMAP TO NONE VALUES, apart from walls which we want to keep as is
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# If we convert the walls data to None, we end up converting booleans to None which
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# causes issues downstream
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if all(
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(pd.DataFrame(cleaned, index=[0]).T)[0] == False
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) and component != "walls":
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cleaned = {key: None for key in cleaned.keys()}
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cleaned_data.append(
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{
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@ -85,6 +85,10 @@ resource "aws_db_instance" "default" {
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ca_cert_identifier = "rds-ca-rsa2048-g1"
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# Temporary to enfore immediate change
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apply_immediately = true
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# Set up storage type to gp3 for better performance
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storage_type = "gp3"
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iops = 3000
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storage_throughput = 125
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}
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# Set up the bucket that recieve the csv uploads of epc to be retrofit
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@ -698,6 +698,13 @@ class Recommendations:
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"heating_cop": 0.85,
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"hotwater_cop": 0.85
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}
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if main_fuel_description in ['coal (community)']:
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return {
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"heating_fuel_type": "Coal",
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"hotwater_fuel_type": "Coal",
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"heating_cop": 0.85,
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"hotwater_cop": 0.85
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}
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logger.warning(
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"Unhandled community fuel."
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f"Fuel: {main_fuel_description}"
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