Add last_status_change_date field for hour-level precision in date filtering

Enhances pending_date and last_sold_date with hour-level precision by introducing the last_status_change_date field. This allows for more accurate filtering of PENDING and SOLD properties when using past_hours parameter. Includes comprehensive tests and version bump to 0.7.1.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Zachary Hampton
2025-11-05 10:09:58 -08:00
parent 4d31e6221f
commit 1608020b69
9 changed files with 253 additions and 7 deletions

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@@ -192,6 +192,7 @@ class Property(BaseModel):
list_date: datetime | None = Field(None, description="The time this Home entered Move system")
pending_date: datetime | None = Field(None, description="The date listing went into pending state")
last_sold_date: datetime | None = Field(None, description="Last time the Home was sold")
last_status_change_date: datetime | None = Field(None, description="Last time the status of the listing changed")
prc_sqft: int | None = None
new_construction: bool | None = Field(None, description="Search for new construction homes")
hoa_fee: int | None = Field(None, description="Search for homes where HOA fee is known and falls within specified range")

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@@ -574,7 +574,11 @@ class RealtorScraper(Scraper):
return 'list_date'
def _extract_date_from_home(self, home, date_field_name):
"""Extract a date field from a home (handles both dict and Property object)."""
"""Extract a date field from a home (handles both dict and Property object).
Falls back to last_status_change_date if the primary date field is not available,
providing more precise filtering for PENDING/SOLD properties.
"""
if isinstance(home, dict):
date_value = home.get(date_field_name)
else:
@@ -582,6 +586,17 @@ class RealtorScraper(Scraper):
if date_value:
return self._parse_date_value(date_value)
# Fallback to last_status_change_date if primary date field is missing
# This is useful for PENDING/SOLD properties where the specific date might be unavailable
if isinstance(home, dict):
fallback_date = home.get('last_status_change_date')
else:
fallback_date = getattr(home, 'last_status_change_date', None)
if fallback_date:
return self._parse_date_value(fallback_date)
return None
def _is_datetime_in_range(self, date_obj, date_range):

View File

@@ -125,6 +125,7 @@ def process_property(result: dict, mls_only: bool = False, extra_property_data:
prc_sqft=result.get("price_per_sqft"),
last_sold_date=(datetime.fromisoformat(result["last_sold_date"].replace('Z', '+00:00') if result["last_sold_date"].endswith('Z') else result["last_sold_date"]) if result.get("last_sold_date") else None),
pending_date=(datetime.fromisoformat(result["pending_date"].replace('Z', '+00:00') if result["pending_date"].endswith('Z') else result["pending_date"]) if result.get("pending_date") else None),
last_status_change_date=(datetime.fromisoformat(result["last_status_change_date"].replace('Z', '+00:00') if result["last_status_change_date"].endswith('Z') else result["last_status_change_date"]) if result.get("last_status_change_date") else None),
new_construction=result["flags"].get("is_new_construction") is True,
hoa_fee=(result["hoa"]["fee"] if result.get("hoa") and isinstance(result["hoa"], dict) else None),
latitude=(result["location"]["address"]["coordinate"].get("lat") if able_to_get_lat_long else None),
@@ -162,6 +163,25 @@ def process_property(result: dict, mls_only: bool = False, extra_property_data:
photos=result.get("photos"),
flags=result.get("flags"),
)
# Enhance date precision using last_status_change_date
# pending_date and last_sold_date only have day-level precision
# last_status_change_date has hour-level precision
if realty_property.last_status_change_date:
status = realty_property.status.upper() if realty_property.status else None
# For PENDING/CONTINGENT properties, use last_status_change_date for hour-precision on pending_date
if status in ["PENDING", "CONTINGENT"] and realty_property.pending_date:
# Only replace if dates are on the same day
if realty_property.pending_date.date() == realty_property.last_status_change_date.date():
realty_property.pending_date = realty_property.last_status_change_date
# For SOLD properties, use last_status_change_date for hour-precision on last_sold_date
elif status == "SOLD" and realty_property.last_sold_date:
# Only replace if dates are on the same day
if realty_property.last_sold_date.date() == realty_property.last_status_change_date.date():
realty_property.last_sold_date = realty_property.last_status_change_date
return realty_property

View File

@@ -9,6 +9,7 @@ _SEARCH_HOMES_DATA_BASE = """{
mls_status
last_sold_price
last_sold_date
last_status_change_date
list_price
list_price_max
list_price_min

View File

@@ -36,6 +36,7 @@ ordered_properties = [
"sold_price",
"last_sold_date",
"last_sold_price",
"last_status_change_date",
"assessed_value",
"estimated_value",
"tax",
@@ -120,7 +121,7 @@ def process_result(result: Property) -> pd.DataFrame:
prop_data["nearby_schools"] = ", ".join(set(prop_data["nearby_schools"])) if prop_data["nearby_schools"] else None
# Convert datetime objects to strings for CSV (preserve full datetime including time)
for date_field in ["list_date", "pending_date", "last_sold_date"]:
for date_field in ["list_date", "pending_date", "last_sold_date", "last_status_change_date"]:
if prop_data.get(date_field):
prop_data[date_field] = prop_data[date_field].strftime("%Y-%m-%d %H:%M:%S") if hasattr(prop_data[date_field], 'strftime') else prop_data[date_field]