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correct previous comits
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1 changed files with 17 additions and 6 deletions
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@ -23,8 +23,8 @@ from utilities.logger import setup_logger
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# ---------------------------------------------------------------------------
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# CONFIG — edit these before running
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# ---------------------------------------------------------------------------
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PORTFOLIO_ID: int = 805
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SCENARIO_ID: int = 1267
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PORTFOLIO_ID: int = 796
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SCENARIO_ID: int = 1268
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SQS_QUEUE_NAME: str = "modelling_e2e-queue-dev"
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# Max number of properties to process this run (cost cap).
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@ -42,8 +42,16 @@ COMPLETED_SINCE: datetime | None = datetime(
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# True → Lambda runs the full pipeline but skips all DB writes (safe for testing).
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DRY_RUN: bool = False
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# True → Lambda skips the Google Solar fetch.
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NO_SOLAR: bool = False
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# False → Lambda skips the Google Solar fetch (re-uses stored Solar data).
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REFETCH_SOLAR: bool = True
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# False → use stored lodged EPC for properties that have one; properties with no
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# stored lodged EPC are treated as EPC-less and routed to prediction (no API call).
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REFETCH_EPC: bool = True
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# False → use stored predicted EPC for EPC-less properties that have one; live
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# prediction still runs when no stored predicted EPC exists for the property.
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REPREDICT_EPC: bool = True
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# ---------------------------------------------------------------------------
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_REPO_ROOT = Path(__file__).resolve().parents[1]
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@ -151,7 +159,8 @@ def main() -> None:
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logger.info(
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f"sending {len(batches)} messages "
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f"(portfolio={PORTFOLIO_ID}, scenario={SCENARIO_ID}, "
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f"dry_run={DRY_RUN}, no_solar={NO_SOLAR}) → {sqs_url}"
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f"dry_run={DRY_RUN}, refetch_solar={REFETCH_SOLAR}, "
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f"refetch_epc={REFETCH_EPC}, repredict_epc={REPREDICT_EPC}) → {sqs_url}"
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)
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for batch in batches:
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@ -162,7 +171,9 @@ def main() -> None:
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"property_ids": batch,
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"portfolio_id": PORTFOLIO_ID,
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"scenario_id": SCENARIO_ID,
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"no_solar": NO_SOLAR,
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"refetch_solar": REFETCH_SOLAR,
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"refetch_epc": REFETCH_EPC,
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"repredict_epc": REPREDICT_EPC,
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"dry_run": DRY_RUN,
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}
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),
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