endpoint setup

alembic/env.py

@@ -21,12 +21,35 @@ from app.db.models.base import Base
 from app.db.models.location import Location
 from app.db.models.owner import Owner
 from app.db.models.property import Property
-from app.db.models.location import Location
+from app.db.models.insurance_details import InsuranceDetails
-
 
 target_metadata = Base.metadata
 
 
+# ---- IMPORTANT: IGNORE POSTGIS TABLES ----
+def include_object(object, name, type_, reflected, compare_to):
+    POSTGIS_TABLES = {
+        "spatial_ref_sys",
+        "layer",
+        "topology",
+        "geography_columns",
+        "geometry_columns",
+        "raster_columns",
+        "raster_overviews",
+    }
+
+    # ignore PostGIS internal tables
+    if type_ == "table" and name in POSTGIS_TABLES:
+        return False
+
+    # ignore entire topology schema
+    if getattr(object, "schema", None) in {"topology", "tiger", "tiger_data"}:
+        return False
+
+    return True
+
+
+# ---- OFFLINE MIGRATIONS ----
 def run_migrations_offline():
 
     url = config.get_main_option("sqlalchemy.url")
@@ -36,12 +59,15 @@ def run_migrations_offline():
         target_metadata=target_metadata,
         literal_binds=True,
         dialect_opts={"paramstyle": "named"},
+        include_object=include_object,   # ✅ applied here
+        compare_type=True,
     )
 
     with context.begin_transaction():
         context.run_migrations()
 
 
+# ---- ONLINE MIGRATIONS (ASYNC) ----
 async def run_migrations_online():
 
     connectable = async_engine_from_config(
@@ -56,6 +82,8 @@ async def run_migrations_online():
             context.configure(
                 connection=connection,
                 target_metadata=target_metadata,
+                include_object=include_object,   # ✅ THIS WAS MISSING
+                compare_type=True,
             )
 
             with context.begin_transaction():
@@ -65,6 +93,8 @@ async def run_migrations_online():
 
     await connectable.dispose()
 
+
+# ---- ENTRYPOINT ----
 def run():
 
     if context.is_offline_mode():
@@ -74,4 +104,4 @@ def run():
         asyncio.run(run_migrations_online())
 
 
-run()
+run()

alembic/versions/471bdc3c5b51_add_insurance_details_table.py

@@ -0,0 +1,60 @@
+"""add insurance details table
+
+Revision ID: 471bdc3c5b51
+Revises: b7538fce8343
+Create Date: 2026-02-07 23:47:44.253489
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = '471bdc3c5b51'
+down_revision: Union[str, Sequence[str], None] = 'b7538fce8343'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('insurance_details',
+    sa.Column('id', sa.Integer(), nullable=False),
+    sa.Column('property_id', sa.Integer(), nullable=False),
+    sa.Column('insurance_company', sa.String(length=150), nullable=False),
+    sa.Column('claim_number', sa.String(length=100), nullable=False),
+    sa.Column('date_of_loss', sa.Date(), nullable=False),
+    sa.Column('adjuster_name', sa.String(length=150), nullable=True),
+    sa.Column('adjuster_phone', sa.String(length=30), nullable=True),
+    sa.Column('adjuster_email', sa.String(length=150), nullable=True),
+    sa.Column('claim_filed', sa.Boolean(), nullable=False),
+    sa.Column('claim_approved', sa.Boolean(), nullable=False),
+    sa.Column('policy_number', sa.String(length=100), nullable=True),
+    sa.Column('coverage_type', sa.String(length=50), nullable=True),
+    sa.Column('claim_type', sa.String(length=50), nullable=True),
+    sa.Column('deductible_amount', sa.Integer(), nullable=True),
+    sa.Column('claim_amount', sa.Integer(), nullable=True),
+    sa.Column('approved_amount', sa.Integer(), nullable=True),
+    sa.Column('payment_status', sa.String(length=50), nullable=True),
+    sa.Column('date_claim_filed', sa.Date(), nullable=True),
+    sa.Column('date_claim_closed', sa.Date(), nullable=True),
+    sa.Column('insurance_agent_name', sa.String(length=150), nullable=True),
+    sa.Column('insurance_agent_phone', sa.String(length=30), nullable=True),
+    sa.Column('notes', sa.Text(), nullable=True),
+    sa.ForeignKeyConstraint(['property_id'], ['properties.id'], ondelete='CASCADE'),
+    sa.PrimaryKeyConstraint('id'),
+    sa.UniqueConstraint('claim_number')
+    )
+    op.create_index(op.f('ix_insurance_details_property_id'), 'insurance_details', ['property_id'], unique=False)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index(op.f('ix_insurance_details_property_id'), table_name='insurance_details')
+    op.drop_table('insurance_details')
+    # ### end Alembic commands ###

alembic/versions/b7538fce8343_add_geom_column.py

@@ -0,0 +1,73 @@
+"""add geom column
+
+Revision ID: b7538fce8343
+Revises: 6cd12cae8c96
+Create Date: 2026-02-07 14:33:51.832269
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from geoalchemy2 import Geography
+
+# revision identifiers, used by Alembic.
+revision: str = 'b7538fce8343'
+down_revision: Union[str, Sequence[str], None] = '6cd12cae8c96'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    # op.drop_table('layer')
+    # op.drop_table('spatial_ref_sys')
+    # op.drop_table('topology')
+    op.add_column('locations', sa.Column('geom',Geography(geometry_type='POINT', srid=4326, dimension=2, from_text='ST_GeogFromText', name='geography', nullable=False), nullable=False))
+    op.execute(
+        "CREATE INDEX IF NOT EXISTS idx_locations_geom ON locations USING gist (geom);"
+    )
+    op.create_unique_constraint('uq_osm_location', 'locations', ['osm_type', 'osm_id'])
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_constraint('uq_osm_location', 'locations', type_='unique')
+    op.drop_index('idx_locations_geom', table_name='locations', postgresql_using='gist')
+    op.drop_column('locations', 'geom')
+    # op.create_table('topology',
+    # sa.Column('id', sa.INTEGER(), autoincrement=True, nullable=False),
+    # sa.Column('name', sa.VARCHAR(), autoincrement=False, nullable=False),
+    # sa.Column('srid', sa.INTEGER(), autoincrement=False, nullable=False),
+    # sa.Column('precision', sa.DOUBLE_PRECISION(precision=53), autoincrement=False, nullable=False),
+    # sa.Column('hasz', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=False),
+    # sa.Column('useslargeids', sa.BOOLEAN(), server_default=sa.text('false'), autoincrement=False, nullable=False),
+    # sa.PrimaryKeyConstraint('id', name=op.f('topology_pkey')),
+    # sa.UniqueConstraint('name', name=op.f('topology_name_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
+    # )
+    # op.create_table('spatial_ref_sys',
+    # sa.Column('srid', sa.INTEGER(), autoincrement=False, nullable=False),
+    # sa.Column('auth_name', sa.VARCHAR(length=256), autoincrement=False, nullable=True),
+    # sa.Column('auth_srid', sa.INTEGER(), autoincrement=False, nullable=True),
+    # sa.Column('srtext', sa.VARCHAR(length=2048), autoincrement=False, nullable=True),
+    # sa.Column('proj4text', sa.VARCHAR(length=2048), autoincrement=False, nullable=True),
+    # sa.CheckConstraint('srid > 0 AND srid <= 998999', name=op.f('spatial_ref_sys_srid_check')),
+    # sa.PrimaryKeyConstraint('srid', name=op.f('spatial_ref_sys_pkey'))
+    # )
+    # op.create_table('layer',
+    # sa.Column('topology_id', sa.INTEGER(), autoincrement=False, nullable=False),
+    # sa.Column('layer_id', sa.INTEGER(), autoincrement=False, nullable=False),
+    # sa.Column('schema_name', sa.VARCHAR(), autoincrement=False, nullable=False),
+    # sa.Column('table_name', sa.VARCHAR(), autoincrement=False, nullable=False),
+    # sa.Column('feature_column', sa.VARCHAR(), autoincrement=False, nullable=False),
+    # sa.Column('feature_type', sa.INTEGER(), autoincrement=False, nullable=False),
+    # sa.Column('level', sa.INTEGER(), server_default=sa.text('0'), autoincrement=False, nullable=False),
+    # sa.Column('child_id', sa.INTEGER(), autoincrement=False, nullable=True),
+    # sa.ForeignKeyConstraint(['topology_id'], ['topology.id'], name=op.f('layer_topology_id_fkey')),
+    # sa.PrimaryKeyConstraint('topology_id', 'layer_id', name=op.f('layer_pkey')),
+    # sa.UniqueConstraint('schema_name', 'table_name', 'feature_column', name=op.f('layer_schema_name_table_name_feature_column_key'), postgresql_include=[], postgresql_nulls_not_distinct=False)
+    # )
+    # ### end Alembic commands ###

app/api/v1/endpoints/map.py

@@ -0,0 +1,40 @@
+from fastapi import APIRouter, Depends, HTTPException, Query
+from sqlalchemy.ext.asyncio import AsyncSession
+
+from app.db.session import get_async_session
+from app.services.location_service import LocationService
+from app.schemas.map_schema import MapQueryResponse
+
+router = APIRouter(prefix="/map", tags=["Map"])
+
+
+@router.get("/query", response_model=MapQueryResponse)
+async def query_nearby_locations(
+    lat: float = Query(..., ge=-90, le=90),
+    lon: float = Query(..., ge=-180, le=180),
+    radius: int = Query(2000, gt=0, le=50000),
+    session: AsyncSession = Depends(get_async_session),
+):
+    """
+        Returns all locations within a given radius from a lat/lon point.
+        Uses PostGIS ST_DWithin (geography).
+    """
+
+    try:
+        locations = await LocationService.get_nearby_locations(
+            session=session,
+            lat=lat,
+            lon=lon,
+            radius= radius
+        )
+
+        return MapQueryResponse(
+            total=len(locations),
+            locations=locations
+        )
+
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail="Failed to fetch nearby locations"
+        )

app/api/v1/endpoints/property.py

@@ -0,0 +1,93 @@
+from fastapi import APIRouter, Depends, HTTPException, Path
+from sqlalchemy.ext.asyncio import AsyncSession
+
+
+from app.db.session import get_async_session
+from app.services.property_service import PropertyService
+from app.schemas.property_schema import PropertyResponse
+from app.schemas.full_entry_schema import FullEntryCreateRequest
+from app.schemas.property_update_request import PropertyOwnerUpdateRequest
+
+router = APIRouter(prefix="/property", tags=["Property"])
+
+
+@router.get("/by-location/{location_id}", response_model=PropertyResponse)
+async def get_property_by_location(
+    location_id: int,
+    session: AsyncSession = Depends(get_async_session),
+):
+    """
+        Fetch property + owner using location_id.
+        Called when agent clicks map box.
+    """
+
+    property_obj = await PropertyService.get_property_by_location_id(
+        session=session,
+        location_id=location_id
+    )
+
+    if not property_obj:
+        raise HTTPException(
+            status_code=404,
+            detail="Property not found for given location"
+        )
+
+    return property_obj
+
+@router.post("/create-full", response_model=PropertyResponse)
+async def create_full_entry(
+    payload: FullEntryCreateRequest,
+    session: AsyncSession = Depends(get_async_session),
+):
+    """
+    Creates Location + Owner + Property in a single transaction.
+    Frontend cannot send IDs.
+    """
+
+    try:
+        property_obj = await PropertyService.create_full_entry(
+            session=session,
+            location_data=payload.location,
+            owner_data=payload.owner,
+            property_data=payload.property,
+        )
+
+        return property_obj
+
+    except Exception as e:
+        raise HTTPException(
+            status_code=500,
+            detail="Failed to create property entry"
+        )
+    
+@router.put("/{property_id}", response_model=PropertyResponse)
+async def update_property_and_owner(
+    property_id: int = Path(..., gt=0),
+    payload: PropertyOwnerUpdateRequest = ...,
+    session: AsyncSession = Depends(get_async_session),
+):
+    """
+    Update Property + Owner details.
+    Partial updates supported.
+    """
+
+    if not payload.owner and not payload.property:
+        raise HTTPException(
+            status_code=400,
+            detail="No update data provided"
+        )
+
+    property_obj = await PropertyService.update_property_and_owner(
+        session=session,
+        property_id=property_id,
+        owner_data=payload.owner.dict(exclude_unset=True) if payload.owner else None,
+        property_data=payload.property.dict(exclude_unset=True) if payload.property else None,
+    )
+
+    if not property_obj:
+        raise HTTPException(
+            status_code=404,
+            detail="Property not found"
+        )
+
+    return property_obj

app/api/v1/property_routes.py

@@ -1,35 +0,0 @@
-import logging
-from fastapi import APIRouter, HTTPException
-from app.core.neo4j import get_driver
-from app.services.property_service import get_nearest_asset
-from app.schemas.location_request import NearestAssetRequest
-from app.schemas.property_owner_response import NearestAssetResponse
-
-logger = logging.getLogger(__name__)
-
-router = APIRouter(prefix="/properties", tags=["Geo Search"])
-
-@router.post("/nearest", response_model=NearestAssetResponse)
-def nearest_property(payload: NearestAssetRequest):
-
-    logger.info(f"Incoming geo request lat={payload.lat}, lng={payload.lng}")
-
-    try:
-        driver = get_driver()
-
-        result = get_nearest_asset(driver, payload.lat, payload.lng)
-
-        logger.info("Nearest asset query successful")
-
-        return result
-
-    except ValueError as e:
-        logger.warning(f"No asset found: {str(e)}")
-        raise HTTPException(status_code=404, detail=str(e))
-
-    except Exception as e:
-        logger.exception("Unexpected server error")
-        raise HTTPException(
-            status_code=500,
-            detail="Internal Server Error"
-        )

app/api/v1/router.py

@@ -1,5 +1,7 @@
 from fastapi import APIRouter
-from app.api.v1.property_routes import router as property_routes
+from app.api.v1.endpoints.map import router as map_routes
+from app.api.v1.endpoints.property import router as property_routes
 
 api_router = APIRouter()
+api_router.include_router(map_routes)
 api_router.include_router(property_routes)

app/core/config.py

@@ -1,12 +0,0 @@
-from pydantic_settings import BaseSettings
-
-class Settings(BaseSettings):
-
-    NEO4J_URI: str
-    NEO4J_USER: str
-    NEO4J_PASSWORD: str
-
-    class Config:
-        env_file = ".env"
-
-settings = Settings()

app/core/neo4j.py

@@ -1,10 +0,0 @@
-from neo4j import GraphDatabase
-from app.core.config import settings
-
-driver = GraphDatabase.driver(
-    settings.NEO4J_URI,
-    auth=(settings.NEO4J_USER, settings.NEO4J_PASSWORD)
-)
-
-def get_driver():
-    return driver

app/db/models/insurance_details.py

@@ -0,0 +1,83 @@
+from datetime import date
+from sqlalchemy import (
+    String,
+    Integer,
+    Boolean,
+    Date,
+    ForeignKey,
+    Text
+)
+from sqlalchemy.orm import Mapped, mapped_column, relationship
+from app.db.models.base import Base
+
+
+class InsuranceDetails(Base):
+
+    __tablename__ = "insurance_details"
+
+    id: Mapped[int] = mapped_column(primary_key=True)
+
+    # 🔗 Relation with Property
+    property_id: Mapped[int] = mapped_column(
+        ForeignKey("properties.id", ondelete="CASCADE"),
+        index=True
+    )
+
+    # -----------------------------
+    # REQUIRED FIELDS (Your spec)
+    # -----------------------------
+
+    insurance_company: Mapped[str] = mapped_column(String(150))
+
+    claim_number: Mapped[str] = mapped_column(String(100), unique=True)
+
+    date_of_loss: Mapped[date] = mapped_column(Date)
+
+    adjuster_name: Mapped[str] = mapped_column(String(150), nullable=True)
+    adjuster_phone: Mapped[str] = mapped_column(String(30), nullable=True)
+    adjuster_email: Mapped[str] = mapped_column(String(150), nullable=True)
+
+    claim_filed: Mapped[bool] = mapped_column(Boolean, default=False)
+    claim_approved: Mapped[bool] = mapped_column(Boolean, default=False)
+
+    # -----------------------------
+    # 🇺🇸 US Insurance Standard Fields
+    # -----------------------------
+
+    policy_number: Mapped[str] = mapped_column(String(100), nullable=True)
+
+    coverage_type: Mapped[str] = mapped_column(
+        String(50), nullable=True
+    )
+    # e.g. Homeowners, Flood, Fire, Liability, Windstorm
+
+    claim_type: Mapped[str] = mapped_column(
+        String(50), nullable=True
+    )
+    # e.g. Roof Damage, Water Damage, Fire, Storm, Theft
+
+    deductible_amount: Mapped[int] = mapped_column(nullable=True)
+
+    claim_amount: Mapped[int] = mapped_column(nullable=True)
+
+    approved_amount: Mapped[int] = mapped_column(nullable=True)
+
+    payment_status: Mapped[str] = mapped_column(
+        String(50), nullable=True
+    )
+    # Pending / Paid / Denied / Under Review
+
+    date_claim_filed: Mapped[date] = mapped_column(Date, nullable=True)
+
+    date_claim_closed: Mapped[date] = mapped_column(Date, nullable=True)
+
+    insurance_agent_name: Mapped[str] = mapped_column(String(150), nullable=True)
+    insurance_agent_phone: Mapped[str] = mapped_column(String(30), nullable=True)
+
+    notes: Mapped[str] = mapped_column(Text, nullable=True)
+
+    # -----------------------------
+    # Relationship
+    # -----------------------------
+
+    property = relationship("Property", back_populates="insurance_records")

app/db/models/location.py

@@ -1,4 +1,5 @@
-from sqlalchemy import String, Integer, Float, BigInteger
+from geoalchemy2 import Geography
+from sqlalchemy import String, Integer, Float, BigInteger, UniqueConstraint
 from sqlalchemy.orm import relationship
 from sqlalchemy.orm import Mapped, mapped_column
 from app.db.models.base import Base
@@ -7,6 +8,9 @@ from app.db.models.base import Base
 class Location(Base):
 
     __tablename__ = "locations"
+    __table_args__ = (
+        UniqueConstraint("osm_type", "osm_id", name="uq_osm_location"),
+    )
 
     id: Mapped[int] = mapped_column(primary_key=True, index=True)
 
@@ -38,6 +42,10 @@ class Location(Base):
     bbox_lon_min: Mapped[float] = mapped_column(Float)
     bbox_lon_max: Mapped[float] = mapped_column(Float)
 
+    geom: Mapped[str] = mapped_column(
+        Geography("POINT", srid=4326)
+    )
+
     property = relationship(
         "Property",
         back_populates="location",

app/db/models/property.py

@@ -63,3 +63,9 @@ class Property(Base):
         back_populates="property",
         uselist=False,
     )
+
+    insurance_records = relationship(
+        "InsuranceDetails",
+        back_populates="property",
+        cascade="all, delete-orphan"
+    )

app/db/session.py

@@ -8,6 +8,6 @@ AsyncSessionLocal = async_sessionmaker(
 )
 
 
-async def get_db():
+async def get_async_session():
     async with AsyncSessionLocal() as session:
         yield session

app/repositories/location_repo.py

@@ -0,0 +1,50 @@
+from sqlalchemy import select
+from sqlalchemy.ext.asyncio import AsyncSession
+from app.db.models.location import Location
+from geoalchemy2.shape import from_shape
+from shapely.geometry import Point
+from geoalchemy2.functions import ST_DWithin
+
+
+class LocationRepository:
+
+    @staticmethod
+    async def get_by_osm(session: AsyncSession, osm_type: str, osm_id: int):
+        stmt = select(Location).where(
+            Location.osm_type == osm_type,
+            Location.osm_id == osm_id
+        )
+        result = await session.execute(stmt)
+        return result.scalar_one_or_none()
+
+
+    @staticmethod
+    async def create(session, data):
+        # For geography this is still correct
+        geom = from_shape(Point(data["longitude"], data["latitude"]), srid=4326)
+
+        location = Location(
+            **data,
+            geom=geom
+        )
+
+        session.add(location)
+        await session.flush()
+        return location
+    
+
+    @staticmethod
+    async def find_within_radius(session, lat, lon, radius_m=2000):
+        # Create a geography point instead of string
+        point = from_shape(Point(lon, lat), srid=4326)
+
+        stmt = select(Location).where(
+            ST_DWithin(
+                Location.geom,
+                point,
+                radius_m
+            )
+        )
+
+        result = await session.execute(stmt)
+        return result.scalars().all()

app/repositories/owner_repo.py

@@ -0,0 +1,8 @@
+class OwnerRepository:
+
+    @staticmethod
+    async def update(session, owner, data: dict):
+        for key, value in data.items():
+            setattr(owner, key, value)
+        await session.flush()
+        return owner

app/repositories/property_repo.py

@@ -1,110 +1,20 @@
-from neo4j import Driver
+from sqlalchemy import select
-
+from sqlalchemy.orm import selectinload
-QUERY_NEAREST = """
+from app.db.models.property import Property
-WITH point({latitude: $lat, longitude: $lng}) AS userLocation
-
-MATCH (o:Owner)-[:OWNS]->(p:Property)-[:LOCATED_AT]->(l:Location)
-WHERE l.location IS NOT NULL
-
-WITH o, p,
-     point.distance(l.location, userLocation) AS distanceMeters
-
-ORDER BY distanceMeters ASC
-LIMIT 1
-
-RETURN 
-
-// Owner Projection (API Safe)
-{
-  owner_id: o.owner_id,
-  full_name: o.full_name,
-  email: o.email,
-  phone: o.phone,
-  entity_type: o.entity_type,
-  mailing_address: o.mailing_address,
-  credit_score_est: o.credit_score_est,
-  income_bracket: o.income_bracket,
-  net_worth_est: o.net_worth_est,
-  portfolio_size: o.portfolio_size,
-  min_price_expectation: o.min_price_expectation,
-  preferred_close_days: o.preferred_close_days,
-  urgency_score: o.urgency_score,
-  is_absentee: o.is_absentee,
-  willing_to_sell: o.willing_to_sell,
-  willing_to_partner: o.willing_to_partner
-} AS owner,
-
-// Property Projection (API Safe)
-{
-  property_id: p.property_id,
-  internal_asset_code: p.internal_asset_code,
-  structure_type: p.structure_type,
-  listing_status: p.listing_status,
-  occupancy_status: p.occupancy_status,
-  property_grade: p.property_grade,
-  energy_rating: p.energy_rating,
-
-  year_built: p.year_built,
-  floors_count: p.floors_count,
-  bedrooms: p.bedrooms,
-  bathrooms: p.bathrooms,
-  total_built_sqft: p.total_built_sqft,
-  lot_size_sqft: p.lot_size_sqft,
-  garage_spaces: p.garage_spaces,
-
-  purchase_price: p.purchase_price,
-  expected_sale_price: p.expected_sale_price,
-  market_value_est: p.market_value_est,
-  current_rent: p.current_rent,
-  rental_yield_percent: p.rental_yield_percent,
-  vacancy_days: p.vacancy_days,
-  tenant_present: p.tenant_present,
-
-  exterior_condition: p.exterior_condition,
-  foundation_type: p.foundation_type,
-  roof_type: p.roof_type,
-  roof_material: p.roof_material,
-  roof_condition: p.roof_condition,
-  roof_pitch: p.roof_pitch,
-  roof_age_years: p.roof_age_years,
-  siding_material: p.siding_material,
-  gutter_status: p.gutter_status,
-  hvac_type: p.hvac_type,
-  electric_type: p.electric_type,
-  plumbing_type: p.plumbing_type,
-  solar_installed: p.solar_installed,
-
-  mold_risk_level: p.mold_risk_level,
-  termite_risk_level: p.termite_risk_level,
-  structural_risk_level: p.structural_risk_level,
-  fire_damage_flag: p.fire_damage_flag,
-  water_damage_flag: p.water_damage_flag,
-
-  created_at: toString(p.created_at),
-  updated_at: toString(p.updated_at)
-
-} AS property,
-
-distanceMeters
-"""
 
 
-def find_nearest_property_and_owner(driver: Driver, lat: float, lng: float):
+class PropertyRepository:
+    @staticmethod
+    async def get_by_location_id(session, location_id: int):
 
-    with driver.session(database="neo4j") as session:
+        stmt = (
-        result = session.run(
+            select(Property)
-            QUERY_NEAREST,
+            .options(
-            lat=lat,
+                selectinload(Property.owner),
-            lng=lng
+                selectinload(Property.location),
+            )
+            .where(Property.location_id == location_id)
         )
 
-        record = result.single()
+        result = await session.execute(stmt)
-
+        return result.scalar_one_or_none()
-        if not record:
-            return None
-
-        return {
-            "owner": record["owner"],
-            "property": record["property"],
-            "distanceMeters": record["distanceMeters"]
-        }

app/schemas/full_entry_schema.py

@@ -0,0 +1,10 @@
+from pydantic import BaseModel
+from app.schemas.location_create_schema import LocationCreate
+from app.schemas.owner_create_schema import OwnerCreate
+from app.schemas.property_create_schema import PropertyCreate
+
+
+class FullEntryCreateRequest(BaseModel):
+    location: LocationCreate
+    owner: OwnerCreate
+    property: PropertyCreate

app/schemas/location_create_schema.py

@@ -0,0 +1,26 @@
+from pydantic import BaseModel
+
+
+class LocationCreate(BaseModel):
+    place_id: int
+    osm_id: int
+    osm_type: str
+
+    latitude: float
+    longitude: float
+
+    house_number: str | None = None
+    road: str
+    city: str
+    county: str
+    state: str
+    postcode: str
+    country: str
+    country_code: str
+
+    display_name: str
+
+    bbox_lat_min: float
+    bbox_lat_max: float
+    bbox_lon_min: float
+    bbox_lon_max: float

app/schemas/location_request.py

@@ -1,6 +0,0 @@
-from pydantic import BaseModel, Field
-
-class NearestAssetRequest(BaseModel):
-
-    lat: float = Field(..., ge=-90, le=90, example=34.01544)
-    lng: float = Field(..., ge=-180, le=180, example=-118.2201)

app/schemas/map_schema.py

@@ -0,0 +1,49 @@
+from pydantic import BaseModel, Field
+
+
+
+class MapQueryParams(BaseModel):
+    lat: float = Field(..., ge=-90, le=90, description="Latitude")
+    lon: float = Field(..., ge=-180, le=180, description="Longitude")
+    radius: int = Field(2000, gt=0, le=50000, description="Search radius in meters")
+
+
+
+class LocationResponse(BaseModel):
+    id: int
+
+    # OSM identifiers
+    place_id: int
+    osm_id: int
+    osm_type: str
+
+    # Coordinates
+    latitude: float
+    longitude: float
+
+    # Address info
+    house_number: str | None = None
+    road: str
+    city: str
+    county: str
+    state: str
+    postcode: str
+    country: str
+    country_code: str
+
+    # Display name
+    display_name: str
+
+    # Bounding box
+    bbox_lat_min: float
+    bbox_lat_max: float
+    bbox_lon_min: float
+    bbox_lon_max: float
+
+    class Config:
+        from_attributes = True
+
+
+class MapQueryResponse(BaseModel):
+    total: int
+    locations: list[LocationResponse]

app/schemas/owner_create_schema.py

@@ -0,0 +1,15 @@
+from pydantic import BaseModel
+
+
+class OwnerCreate(BaseModel):
+    full_name: str
+    phone_number: str
+    email: str
+    occupation: str
+    annual_income_range: str
+
+    willing_to_rent: bool = False
+    desired_rent_price: int | None = None
+
+    willing_to_sell: bool = False
+    desired_sell_price: int | None = None

app/schemas/owner_schema.py

@@ -0,0 +1,17 @@
+from pydantic import BaseModel
+
+
+class OwnerResponse(BaseModel):
+    id: int
+    full_name: str
+    phone_number: str
+    email: str
+    occupation: str
+    annual_income_range: str
+    willing_to_rent: bool
+    desired_rent_price: int | None
+    willing_to_sell: bool
+    desired_sell_price: int | None
+
+    class Config:
+        from_attributes = True

app/schemas/owner_update_schema.py

@@ -0,0 +1,15 @@
+from pydantic import BaseModel
+
+
+class OwnerUpdate(BaseModel):
+    full_name: str | None = None
+    phone_number: str | None = None
+    email: str | None = None
+    occupation: str | None = None
+    annual_income_range: str | None = None
+
+    willing_to_rent: bool | None = None
+    desired_rent_price: int | None = None
+
+    willing_to_sell: bool | None = None
+    desired_sell_price: int | None = None

app/schemas/property_create_schema.py

@@ -0,0 +1,26 @@
+from pydantic import BaseModel
+from datetime import date
+
+
+class PropertyCreate(BaseModel):
+    property_type: str
+    built_up_area: float
+
+    bedrooms: int
+    bathrooms: int
+
+    purchase_date: date
+    purchase_price: float
+
+    sale_listing_date: date | None = None
+    sale_asking_price: float | None = None
+
+    last_renovation_date: date | None = None
+    renovation_description: str | None = None
+
+    roof_repair_date: date | None = None
+    roof_condition: str
+
+    available_for_rent: bool = False
+    expected_rent: float | None = None
+    rental_available_date: date | None = None

app/schemas/property_owner_response.py

@@ -1,172 +0,0 @@
-from pydantic import BaseModel, Field
-from typing import Optional
-from datetime import datetime
-
-
-# -----------------------------
-# Owner Response Schema
-# -----------------------------
-
-class OwnerResponse(BaseModel):
-
-    owner_id: str = Field(..., example="OWN_9001")
-
-    full_name: str = Field(..., example="Michael Anderson")
-
-    email: Optional[str] = Field(None, example="michael.anderson@email.com")
-
-    phone: Optional[str] = Field(None, example="+14155552671")
-
-    entity_type: str = Field(..., example="Individual")
-
-    mailing_address: Optional[str] = Field(
-        None,
-        example="742 Evergreen Terrace, San Diego, CA 92101"
-    )
-
-    credit_score_est: Optional[int] = Field(None, ge=300, le=850, example=780)
-
-    income_bracket: Optional[str] = Field(None, example="$100k+")
-
-    net_worth_est: Optional[int] = Field(None, example=1250000)
-
-    portfolio_size: Optional[int] = Field(None, example=3)
-
-    min_price_expectation: Optional[int] = Field(None, example=650000)
-
-    preferred_close_days: Optional[int] = Field(None, example=30)
-
-    urgency_score: Optional[int] = Field(None, ge=0, le=100, example=72)
-
-    is_absentee: Optional[bool] = Field(None, example=True)
-
-    willing_to_sell: Optional[bool] = Field(None, example=True)
-
-    willing_to_partner: Optional[bool] = Field(None, example=False)
-
-    # ⚠ Recommended: Do not expose in public APIs
-    tax_id_hash: Optional[str] = Field(
-        None,
-        example="HASHX9921",
-        description="Hashed tax identifier (masked)"
-    )
-
-    class Config:
-        from_attributes = True
-
-
-# -----------------------------
-# Property Response Schema
-# -----------------------------
-
-class PropertyResponse(BaseModel):
-
-    property_id: str = Field(..., example="PROP_1001")
-
-    internal_asset_code: str = Field(..., example="ASSET-LA-7782")
-
-    structure_type: str = Field(..., example="SingleFamily")
-
-    listing_status: str = Field(..., example="ForSale")
-
-    occupancy_status: str = Field(..., example="OwnerOccupied")
-
-    property_grade: str = Field(..., example="A")
-
-    energy_rating: Optional[str] = Field(None, example="B+")
-
-    year_built: int = Field(..., example=2006)
-
-    floors_count: int = Field(..., example=2)
-
-    bedrooms: int = Field(..., example=4)
-
-    bathrooms: int = Field(..., example=3)
-
-    total_built_sqft: int = Field(..., example=2480)
-
-    lot_size_sqft: Optional[int] = Field(None, example=6200)
-
-    garage_spaces: Optional[int] = Field(None, example=2)
-
-    purchase_price: Optional[int] = Field(None, example=590000)
-
-    expected_sale_price: Optional[int] = Field(None, example=740000)
-
-    market_value_est: Optional[int] = Field(None, example=685000)
-
-    current_rent: Optional[int] = Field(None, example=0)
-
-    rental_yield_percent: Optional[float] = Field(None, example=6.2)
-
-    vacancy_days: Optional[int] = Field(None, example=0)
-
-    tenant_present: Optional[bool] = Field(None, example=False)
-
-    # Structural / Condition
-
-    exterior_condition: Optional[str] = Field(None, example="Good")
-
-    foundation_type: Optional[str] = Field(None, example="Slab")
-
-    roof_type: Optional[str] = Field(None, example="Gable")
-
-    roof_material: Optional[str] = Field(None, example="Asphalt Shingle")
-
-    roof_condition: Optional[str] = Field(None, example="Good")
-
-    roof_pitch: Optional[str] = Field(None, example="Medium")
-
-    roof_age_years: Optional[int] = Field(None, example=7)
-
-    siding_material: Optional[str] = Field(None, example="Hardie Board")
-
-    gutter_status: Optional[str] = Field(None, example="Functional")
-
-    hvac_type: Optional[str] = Field(None, example="Central")
-
-    electric_type: Optional[str] = Field(None, example="Copper")
-
-    plumbing_type: Optional[str] = Field(None, example="PEX")
-
-    solar_installed: Optional[bool] = Field(None, example=False)
-
-    # Risk Indicators
-
-    mold_risk_level: Optional[str] = Field(None, example="Low")
-
-    termite_risk_level: Optional[str] = Field(None, example="Low")
-
-    structural_risk_level: Optional[str] = Field(None, example="Low")
-
-    fire_damage_flag: Optional[bool] = Field(None, example=False)
-
-    water_damage_flag: Optional[bool] = Field(None, example=False)
-
-    # Timestamps
-
-    created_at: Optional[datetime] = Field(
-        None,
-        example="2026-01-29T16:43:44.285Z"
-    )
-
-    updated_at: Optional[datetime] = Field(
-        None,
-        example="2026-01-29T16:43:44.285Z"
-    )
-
-    class Config:
-        from_attributes = True
-
-
-# -----------------------------
-# Final Nearest Asset Response
-# -----------------------------
-
-class NearestAssetResponse(BaseModel):
-
-    owner: OwnerResponse
-
-    property: PropertyResponse
-
-    distanceMeters: float = Field(..., example=342.55)

app/schemas/property_schema.py

@@ -0,0 +1,33 @@
+from pydantic import BaseModel
+from datetime import date
+from app.schemas.owner_schema import OwnerResponse
+
+
+class PropertyResponse(BaseModel):
+    id: int
+
+    property_type: str
+    built_up_area: float
+    bedrooms: int
+    bathrooms: int
+
+    purchase_date: date
+    purchase_price: float
+
+    sale_listing_date: date | None
+    sale_asking_price: float | None
+
+    last_renovation_date: date | None
+    renovation_description: str | None
+
+    roof_repair_date: date | None
+    roof_condition: str
+
+    available_for_rent: bool
+    expected_rent: float | None
+    rental_available_date: date | None
+
+    owner: OwnerResponse
+
+    class Config:
+        from_attributes = True

app/schemas/property_update_request.py

@@ -0,0 +1,8 @@
+from pydantic import BaseModel
+from app.schemas.owner_update_schema import OwnerUpdate
+from app.schemas.property_update_schema import PropertyUpdate
+
+
+class PropertyOwnerUpdateRequest(BaseModel):
+    owner: OwnerUpdate | None = None
+    property: PropertyUpdate | None = None

app/schemas/property_update_schema.py

@@ -0,0 +1,26 @@
+from pydantic import BaseModel
+from datetime import date
+
+
+class PropertyUpdate(BaseModel):
+    property_type: str | None = None
+    built_up_area: float | None = None
+
+    bedrooms: int | None = None
+    bathrooms: int | None = None
+
+    purchase_date: date | None = None
+    purchase_price: float | None = None
+
+    sale_listing_date: date | None = None
+    sale_asking_price: float | None = None
+
+    last_renovation_date: date | None = None
+    renovation_description: str | None = None
+
+    roof_repair_date: date | None = None
+    roof_condition: str | None = None
+
+    available_for_rent: bool | None = None
+    expected_rent: float | None = None
+    rental_available_date: date | None = None

app/services/location_service.py

@@ -0,0 +1,14 @@
+from sqlalchemy.ext.asyncio import AsyncSession
+from app.repositories.location_repo import LocationRepository
+
+
+class LocationService:
+
+    @staticmethod
+    async def get_nearby_locations(session: AsyncSession, lat: float, lon: float, radius: int = 2000):
+        return await LocationRepository.find_within_radius(
+            session=session,
+            lat=lat,
+            lon=lon,
+            radius_m=radius
+        )

app/services/property_service.py

@@ -1,10 +1,102 @@
-from app.repositories.property_repo import find_nearest_property_and_owner
+from app.repositories.location_repo import LocationRepository
+from app.repositories.property_repo import PropertyRepository
+from app.db.models.owner import Owner
+from app.db.models.property import Property
 
-def get_nearest_asset(driver, lat: float, lng: float):
 
-    data = find_nearest_property_and_owner(driver, lat, lng)
+class PropertyService:
+
+    @staticmethod
+    async def get_property_by_osm(session, osm_type, osm_id):
+
+        location = await LocationRepository.get_by_osm(
+            session, osm_type, osm_id
+        )
+
+        if not location:
+            return None
+
+        property = await PropertyRepository.get_by_location_id(
+            session, location.id
+        )
+
+        return property
+    
+    @staticmethod
+    async def create_full_entry(session, location_data, owner_data, property_data):
+
+        async with session.begin():
+
+            #  Check existing location
+            location = await LocationRepository.get_by_osm(
+                session,
+                location_data.osm_type,
+                location_data.osm_id
+            )
+
+            if not location:
+                location = await LocationRepository.create(
+                    session,
+                    location_data.dict()
+                )
+
+            # Check if property already exists for this location
+            existing_property = await PropertyRepository.get_by_location_id(
+                session,
+                location.id
+            )
+
+            if existing_property:
+                # return existing instead of crashing
+                return existing_property
+
+            # Create owner
+            owner = Owner(**owner_data.dict())
+            session.add(owner)
+            await session.flush()
+
+            # Create property
+            prop_data = property_data.dict()
+            prop_data["owner_id"] = owner.id
+            prop_data["location_id"] = location.id
+
+            property_obj = Property(**prop_data)
+            session.add(property_obj)
+
+        return property_obj
+    
+    @staticmethod
+    async def update_property_and_owner(session, property_id, owner_data, property_data):
+
+        async with session.begin():
+
+            property_obj = await session.get(Property, property_id)
+
+            if not property_obj:
+                return None
+
+            owner = property_obj.owner
+
+            # Update owner
+            if owner_data:
+                for k, v in owner_data.items():
+                    setattr(owner, k, v)
+
+            # Update property
+            if property_data:
+                for k, v in property_data.items():
+                    setattr(property_obj, k, v)
+
+        return property_obj
+    
+    @staticmethod
+    async def get_property_by_location_id(session, location_id: int):
+
+        property_obj = await PropertyRepository.get_by_location_id(
+            session, location_id
+        )
+
+        return property_obj
+    
 
-    if not data:
-        raise ValueError("No nearby property found")
 
-    return data

pyproject.toml

@@ -8,10 +8,12 @@ dependencies = [
     "alembic>=1.18.3",
     "asyncpg>=0.31.0",
     "fastapi>=0.128.0",
+    "geoalchemy2>=0.18.1",
     "neo4j>=6.1.0",
     "pydantic>=2.12.5",
     "pydantic-settings>=2.12.0",
     "python-dotenv>=1.2.1",
+    "shapely>=2.1.2",
     "sqlalchemy>=2.0.46",
     "uvicorn>=0.40.0",
 ]

uv.lock

@@ -107,10 +107,12 @@ dependencies = [
     { name = "alembic" },
     { name = "asyncpg" },
     { name = "fastapi" },
+    { name = "geoalchemy2" },
     { name = "neo4j" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
     { name = "python-dotenv" },
+    { name = "shapely" },
     { name = "sqlalchemy" },
     { name = "uvicorn" },
 ]
@@ -120,10 +122,12 @@ requires-dist = [
     { name = "alembic", specifier = ">=1.18.3" },
     { name = "asyncpg", specifier = ">=0.31.0" },
     { name = "fastapi", specifier = ">=0.128.0" },
+    { name = "geoalchemy2", specifier = ">=0.18.1" },
     { name = "neo4j", specifier = ">=6.1.0" },
     { name = "pydantic", specifier = ">=2.12.5" },
     { name = "pydantic-settings", specifier = ">=2.12.0" },
     { name = "python-dotenv", specifier = ">=1.2.1" },
+    { name = "shapely", specifier = ">=2.1.2" },
     { name = "sqlalchemy", specifier = ">=2.0.46" },
     { name = "uvicorn", specifier = ">=0.40.0" },
 ]
@@ -143,6 +147,19 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/5c/05/5cbb59154b093548acd0f4c7c474a118eda06da25aa75c616b72d8fcd92a/fastapi-0.128.0-py3-none-any.whl", hash = "sha256:aebd93f9716ee3b4f4fcfe13ffb7cf308d99c9f3ab5622d8877441072561582d", size = 103094, upload-time = "2025-12-27T15:21:12.154Z" },
 ]
 
+[[package]]
+name = "geoalchemy2"
+version = "0.18.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "packaging" },
+    { name = "sqlalchemy" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/05/df/f6d689120a15a2287794e16696c3bdb4cf2e53038255d288b61a4d59e1fa/geoalchemy2-0.18.1.tar.gz", hash = "sha256:4bdc7daf659e36f6456e2f2c3bcce222b879584921a4f50a803ab05fa2bb3124", size = 239302, upload-time = "2025-11-18T15:12:05.296Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/48/25/b3d6fc757d8d909e0e666ec6fbf1b7914e9ad18d6e1b08994cd9d2e63330/geoalchemy2-0.18.1-py3-none-any.whl", hash = "sha256:a49d9559bf7acbb69129a01c6e1861657c15db420886ad0a09b1871fb0ff4bdb", size = 81261, upload-time = "2025-11-18T15:12:03.985Z" },
+]
+
 [[package]]
 name = "greenlet"
 version = "3.3.1"
@@ -271,6 +288,65 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/70/5c/ee71e2dd955045425ef44283f40ba1da67673cf06404916ca2950ac0cd39/neo4j-6.1.0-py3-none-any.whl", hash = "sha256:3bd93941f3a3559af197031157220af9fd71f4f93a311db687bd69ffa417b67d", size = 325326, upload-time = "2026-01-12T11:27:33.196Z" },
 ]
 
+[[package]]
+name = "numpy"
+version = "2.4.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/57/fd/0005efbd0af48e55eb3c7208af93f2862d4b1a56cd78e84309a2d959208d/numpy-2.4.2.tar.gz", hash = "sha256:659a6107e31a83c4e33f763942275fd278b21d095094044eb35569e86a21ddae", size = 20723651, upload-time = "2026-01-31T23:13:10.135Z" }
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