refactoring db requests to run in bulk

backend/addresses/Address.py

@@ -17,6 +17,8 @@ class Address:
     domna_full_address: Optional[str]
     domna_address_1: Optional[str]
     landlord_heating_system: Optional[str] = None
+    solar_reason: Optional[str] = None
+    cavity_reason: Optional[str] = None
 
     @property
     def address1(self):

backend/app/db/functions/address_functions.py

@@ -20,7 +20,7 @@ def _get_associated_records(results, uprn, uprn_key="UPRN"):
     return matched_record
 
 
-def get_associated_uprns(postcode_search: PostcodeSearch, uprn: str):
+def get_associated_uprns(postcode_search: PostcodeSearch, uprn: str | int):
     """
     Given a postcode and UPRN, for a remote assessment, fetch all associated UPRNs, based
     on parent UPRN. This will be properties in the same building
@@ -36,6 +36,10 @@ def get_associated_uprns(postcode_search: PostcodeSearch, uprn: str):
     if not postcode_search:
         return []
 
+    if isinstance(uprn, int):
+        # For this, coerce to string
+        uprn = str(uprn)
+
     matched_record = _get_associated_records(results=postcode_search.result_data["results"], uprn=uprn)
 
     if len(matched_record) != 1:

backend/app/db/functions/inspections_functions.py

@@ -2,7 +2,6 @@ import re
 from dataclasses import dataclass, asdict
 from typing import Optional, Dict, Any, Type, TypeVar
 from sqlalchemy.orm import Session
-from datetime import timezone
 
 from enum import Enum
 from datetime import datetime, timedelta
@@ -24,7 +23,6 @@ from backend.app.db.models.inspections import (
     InspectionsCladding,
     InspectionsAccessIssues,
 )
-from sqlalchemy.dialects.postgresql import insert
 
 NON_INTRUSIVE_PREFIX = "non-intrusives:"
 

backend/app/db/functions/recommendations_functions.py

@@ -96,27 +96,23 @@ def create_plan(session: Session, plan):
         raise e
 
 
-def create_scenario(session: Session, scenario):
+def create_scenario(session: Session, scenario: dict) -> int:
-    """
+    existing_scenario = (
-    This function will create a record for the scenario in the database if it does not exist.
+        session.query(Scenario)
-    :param session: The database session
+        .filter_by(portfolio_id=scenario["portfolio_id"])
-    :param scenario: dictionary of data representing a scenario to be created
+        .first()
-    """
+    )
-    try:
 
-        # Before creating a new scenario, we check if there is a scenario for this portfolio id already
+    scenario["is_default"] = not bool(existing_scenario)
-        # If there is, it means that any new scnario created will NOT be the default scenario
-        existing_scenario = session.query(Scenario).filter_by(portfolio_id=scenario["portfolio_id"]).first()
-        scenario["is_default"] = True if not existing_scenario else False
 
-        new_scenario = Scenario(**scenario)
+    new_scenario = Scenario(**scenario)
-        session.add(new_scenario)
+    session.add(new_scenario)
-        session.flush()
+    session.flush()  # ensures ID is populated
-        session.commit()
+
-        return new_scenario
+    scenario_id = new_scenario.id
-    except SQLAlchemyError as e:
+    session.commit()
-        session.rollback()
+
-        raise e
+    return scenario_id
 
 
 def create_recommendation(session: Session, recommendation):

backend/app/plan/utils.py

@@ -1,9 +1,9 @@
+import ast
 import os
-import time
 import msgpack
 from uuid import UUID
-from typing import Any
 from utils.s3 import read_from_s3
+from backend.addresses.Address import Address
 from backend.app.config import get_settings
 from backend.app.plan.data_classes import PropertyRequestData
 from backend.app.db.functions.tasks.Tasks import SubTaskInterface
@@ -52,21 +52,20 @@ def patch_epc(patch, epc_records):
 
 
 def extract_property_request_data(
-    config, patches, already_installed, non_invasive_recommendations, valuation_data, uprn
+    address: Address, patches, already_installed, non_invasive_recommendations, valuation_data, uprn
 ):
     patch_has_uprn = "uprn" in patches[0] if patches else True
     if patch_has_uprn:
         patch = next((
-            x for x in patches if str(x["uprn"]) == str(config["uprn"])
+            x for x in patches if str(x["uprn"]) == str(address.uprn)
         ), {})
     else:
         patch = next((
-            x for x in patches if (x["address"] == config["address"]) and (x["postcode"] == config["postcode"])
+            x for x in patches if (x["address"] == address.address) and (x["postcode"] == address.postcode)
         ), {})
 
     property_already_installed = next((
-        x for x in already_installed if
+        x for x in already_installed if (x["address"] == address.address) and (x["postcode"] == address.postcode)
-        (x["address"] == config["address"]) and (x["postcode"] == config["postcode"])
     ), [])
 
     # Because we have some non-invasive recommendations that match on address and postcode, but not UPRN
@@ -85,7 +84,7 @@ def extract_property_request_data(
     else:
         property_non_invasive_recommendations = next((
             x for x in non_invasive_recommendations if
-            (x["address"] == config["address"]) and (x["postcode"] == config["postcode"])
+            (x["address"] == address.address) and (x["postcode"] == address.postcode)
         ), {})
 
     if isinstance(property_non_invasive_recommendations.get("recommendations"), str):
@@ -114,7 +113,7 @@ def extract_property_request_data(
     else:
         property_valuation = next((
             float(x["valuation"]) for x in valuation_data if
-            (x["address"] == config["address"]) and (x["postcode"] == config["postcode"])
+            (x["address"] == address.address) and (x["postcode"] == address.postcode)
         ), None)
 
     # Return data class to give a structured format
@@ -126,14 +125,14 @@ def extract_property_request_data(
     )
 
 
-def parse_eco_packages(config: dict[str, Any], prepared_epc) -> tuple[list[str], int, str, list[str]] | tuple[
+def parse_eco_packages(addr: Address, prepared_epc) -> tuple[list[str], int, str, list[str]] | tuple[
     None, None, None, list]:
-    solar_identification = config.get("solar_reason", None)
+    solar_identification = addr.solar_reason
-    cavity_identification = config.get("cavity_reason", None)
+    cavity_identification = addr.cavity_reason
     if not solar_identification and not cavity_identification:
         return None, None, None, []
 
-    landlord_heating_system = config["landlord_heating_system"]
+    landlord_heating_system = addr.landlord_heating_system
     # This is the initial version of tackling "already installed" measures
     already_installed = []
     if landlord_heating_system == "air source heat pump":

backend/engine/engine.py

@@ -672,6 +672,7 @@ async def model_engine(body: PlanTriggerRequest):
         landlord_ids = addresses.get_landlord_ids()
         postcodes = addresses.get_postcodes_for_flats()
 
+        # Check if we've seen these properties before
         with db_read_session() as session:
             existing_properties = db_funcs.property_functions.get_existing_properties(
                 session, body.portfolio_id, uprns, landlord_ids
@@ -699,32 +700,31 @@ async def model_engine(body: PlanTriggerRequest):
             )
 
         # If we have properties that need to be created, we cerate them in bulk
+        new_property_ids = set()
         if to_create:
             with db_session() as session:
                 inserted = db_funcs.property_functions.bulk_create_properties(
                     session, body, to_create, energy_assessments_by_uprn
                 )
+            for prop_id, uprn, landlord_property_id in inserted:
+                new_property_ids.add(prop_id)
 
+            # We append the newly created properties to property_lookup
             for prop_id, uprn, landlord_property_id in inserted:
                 if uprn is not None:
                     property_lookup[("uprn", uprn)] = prop_id
                 if landlord_property_id:
                     property_lookup[("landlord_property_id", landlord_property_id)] = prop_id
 
-            # We append the newly created properties to property_lookup
-
         input_properties, inspections_map, eco_packages = [], {}, {}
-        for addr in tqdm(addresses):
+        for addr, config in tqdm(
-
+            zip(addresses, plan_input),
-            # Identity data
+            total=len(addresses),
-            uprn = addr.uprn
+            desc="Processing properties",
-            address1 = addr.address1
+        ):
-            postcode = addr.postcode
-            full_address = addr.full_address
-            heating_system = addr.heating_system
 
             # ---------- 1) filter fetched data ----------
-            epc_cache = epc_cache_by_uprn[uprn]
+            epc_cache = epc_cache_by_uprn[addr.uprn]
             epc_api_data, epc_page, rrn, = epc_cache["epc_api"], epc_cache["epc_page"], epc_cache["epc_page_rrn"]
             # Extract from EPC cache
             if epc_cache.get("status") == db_funcs.epc_functions.EpcStoreService.FRESH:
@@ -732,19 +732,19 @@ async def model_engine(body: PlanTriggerRequest):
 
             # Extract associated UPRNs from the database response
             associated_uprns = db_funcs.address_functions.get_associated_uprns(
-                postcode_searches.get(postcode.upper()), uprn=uprn
+                postcode_searches.get(addr.postcode.upper()), uprn=addr.uprn
             )
 
-            energy_assessment = energy_assessments_by_uprn.get(uprn)
+            energy_assessment = energy_assessments_by_uprn.get(addr.uprn)
 
             epc_searcher = SearchEpc(
-                address1=address1,
+                address1=addr.address1,
-                postcode=postcode,
+                postcode=addr.postcode,
-                uprn=uprn,
+                uprn=addr.uprn,
                 auth_token=get_settings().EPC_AUTH_TOKEN,
                 os_api_key="",
-                full_address=full_address,
+                full_address=addr.full_address,
-                heating_system=heating_system,
+                heating_system=addr.heating_system,
                 associated_uprns=associated_uprns
             )
             epc_searcher.ordnance_survey_client.built_form = addr.built_form
@@ -754,26 +754,19 @@ async def model_engine(body: PlanTriggerRequest):
             epc_searcher.find_property(skip_os=True, api_data=epc_api_data, overwrite_sap05=True)
             epc_searcher.set_uprn_source(file_format=body.file_format)
 
-            # ---------- 2) ensure property exists ----------
+            lookup_key = (
-            with db_session() as session:
+                ("uprn", addr.uprn) if addr.uprn is not None else ("landlord_property_id", addr.landlord_property_id)
-                property_id, is_new = db_funcs.property_functions.ensure_property_exists(
+            )
-                    session, body, epc_searcher, energy_assessment, landlord_property_id=addr.landlord_property_id
+            property_id = property_lookup[lookup_key]
-                )
 
-            if not property_id or (not is_new and not body.multi_plan):
+            if not property_id:
+                logger.error("Could not find property ID for address: %s", addr.request_data)
+                # Should not happen unless input data is inconsistent
                 continue
 
-            if is_new:
+            is_new = property_id in new_property_ids
-                # TODO: We can probably make these queries in bulk at the front end and use a placeholder
+            if not is_new and not body.multi_plan:
-                #       property ID, and then inject this information afterwards
+                continue
-                with db_session() as session:
-                    db_funcs.property_functions.create_property_targets(
-                        session,
-                        property_id=property_id,
-                        portfolio_id=body.portfolio_id,
-                        epc_target=body.goal_value,
-                        heat_demand_target=None
-                    )
 
             # If we have an energy assessment in place, that is newer than all of the previous EPCs, we use that.
             # Otherwise, we use the newest EPC
@@ -784,7 +777,7 @@ async def model_engine(body: PlanTriggerRequest):
             )
 
             req_data = extract_property_request_data(
-                config=config,
+                address=addr,
                 patches=patches,
                 already_installed=already_installed,
                 non_invasive_recommendations=non_invasive_recommendations,
@@ -803,7 +796,7 @@ async def model_engine(body: PlanTriggerRequest):
                         epc_page=epc_page,
                         rrn=rrn,
                         cleaned_address=epc_searcher.address_clean,
-                        config_address=config["address"],
+                        config_address=addr.address,
                         address_postal_town=epc_searcher.address_postal_town
                     )
                 )
@@ -817,7 +810,7 @@ async def model_engine(body: PlanTriggerRequest):
             prepared_epc = averages_cleaning(prepared_epc, cleaning_data)
 
             # If we have an ECO project, we parse the cavity/solar reasons
-            eco_packages[property_id] = parse_eco_packages(config, prepared_epc)
+            eco_packages[property_id] = parse_eco_packages(addr, prepared_epc)
 
             # Final step - extract inspections data, if we have it - we inject into property for usage
             property_inspections = db_funcs.inspections_functions.extract_inspection_data(config)
@@ -1332,7 +1325,7 @@ async def model_engine(body: PlanTriggerRequest):
             scenario_id = body.scenario_id
         else:
             with db_session() as session:
-                engine_scenario = db_funcs.recommendations_functions.create_scenario(
+                scenario_id = db_funcs.recommendations_functions.create_scenario(
                     session=session,
                     scenario={
                         "name": body.scenario_name,
@@ -1350,7 +1343,6 @@ async def model_engine(body: PlanTriggerRequest):
                         "multi_plan": body.multi_plan
                     }
                 )
-            scenario_id = engine_scenario.id
 
         for i in tqdm(
             range(0, len(input_properties), BATCH_SIZE), total=int(np.ceil(len(input_properties) / BATCH_SIZE))