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fixing property.property and passing task id
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parent
1445d2687e
commit
354c8fcb27
3 changed files with 54 additions and 2 deletions
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@ -174,6 +174,8 @@ async def trigger_plan_entrypoint(body: PlanTriggerRequest):
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service="plan_engine",
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inputs=data,
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task_only=True,
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source=SourceEnum.PORTFOLIO,
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source_id=str(body.portfolio_id),
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)
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subtask_interface = SubTaskInterface()
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@ -222,6 +224,8 @@ async def trigger_plan_entrypoint(body: PlanTriggerRequest):
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service="plan_engine",
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inputs=data,
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task_only=False,
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source=SourceEnum.PORTFOLIO,
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source_id=str(body.portfolio_id),
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)
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data["task_id"] = str(task_id)
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data["subtask_id"] = str(subtask_id)
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@ -134,7 +134,7 @@ def handler(event: Mapping[str, Any], context: Optional[Any]) -> Mapping[str, Un
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body_dict = {
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"task_id": "test",
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"subtask_id": "test",
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"portfolio_id": 569,
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"portfolio_id": 647,
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"scenario_ids": [],
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"default_plans_only": True,
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}
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@ -159,6 +159,54 @@ def handler(event: Mapping[str, Any], context: Optional[Any]) -> Mapping[str, Un
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with db_read_session() as session:
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exported_files = process_export(payload, session)
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# Merge with input
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raw_input1 = pd.read_excel(
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"/Users/khalimconn-kowlessar/Downloads/eon - 20260323 address sanitisation - Standardised.xlsx",
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sheet_name="Standardised Asset List",
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)
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raw_input2 = pd.read_excel(
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"/Users/khalimconn-kowlessar/Downloads/eon - 20260323 address sanitisation - Standardised.xlsx",
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sheet_name="Addresses needing validation",
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)
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raw_input = pd.concat([raw_input1, raw_input2], ignore_index=True)
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raw_input["epc_os_uprn"] = np.where(
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pd.isnull(raw_input["epc_os_uprn"]),
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raw_input["ordnance_survey_uprn"],
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raw_input["epc_os_uprn"],
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)
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raw_input["epc_os_uprn"] = raw_input["epc_os_uprn"].astype(int)
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left_df = raw_input[
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["epc_os_uprn", "domna_address_1", "landlord_property_type", "landlord_property_type"]].copy()
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combined = left_df.merge(
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exported_files["default_plans"], how="right",
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left_on="epc_os_uprn", right_on="uprn"
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)
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raw_addresses = pd.read_excel(
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"/Users/khalimconn-kowlessar/Downloads/North Tyneside Council. EPC D and Below with Type (1).xlsx")
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raw_addresses = raw_addresses[["UPRN", "Address 1", "Postcode"]]
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raw_addresses["Address 1"] = raw_addresses["Address 1"].str.replace(" ", " ")
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raw_addresses = raw_addresses.drop_duplicates("Address 1")
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combined2 = combined.merge(
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raw_addresses, how="left", left_on="domna_address_1", right_on="Address 1"
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)
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combined2 = combined2.drop(columns=["landlord_property_id"])
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combined2 = combined2.rename(columns={"UPRN": "landlord_property_id"})
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combined2["epc_os_uprn"] = combined2["epc_os_uprn"].astype("Int64")
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combined2.to_excel("/Users/khalimconn-kowlessar/Downloads/EON - recommended measures for review.xlsx")
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removed = raw_addresses[~raw_addresses["UPRN"].isin(combined2["landlord_property_id"])]
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df2 = pd.read_excel(
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"/Users/khalimconn-kowlessar/Downloads/20260330 EON - recommended measures for review (1).xlsx"
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)
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removed2 = raw_addresses[~raw_addresses["UPRN"].isin(df2["landlord_property_id"])]
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raw_addresses[raw_addresses["Address 1"].duplicated()]
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# TODO: Need to handle the exported files - e.g. upload to s3 and email a presigned url
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_ = exported_files
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return {
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@ -209,7 +209,7 @@ class Costs:
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# Try and get the region after converting the keys to lower
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self.region = {
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k.lower(): v for k, v in county_to_region_map.items()
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}.get(self.property.property.epc_record.local_authority_label.lower(), None)
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}.get(self.property.epc_record.local_authority_label.lower(), None)
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if self.region is None:
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logger.warning("No region found for county %s, defaulting to South East England",
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