feat(tradein): cross-source matching service (3-tier: cadastr / fingerprint / geo / composite) (#470)
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lekss361 2026-05-23 14:12:16 +00:00
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"""Cross-source matching service — public API.
Provides 3-tier deduplication for houses and listings across Avito, Cian, Yandex, etc.
Algorithm reference: decisions/Cross_Source_Matching_Strategy.md
"""
from app.services.matching.conflict_resolution import update_canonical_fields
from app.services.matching.houses import match_or_create_house
from app.services.matching.listings import (
match_or_create_listing,
upsert_listing_source, # public helper for 'new' sentinel flow
)
__all__ = [
"match_or_create_house",
"match_or_create_listing",
"update_canonical_fields",
"upsert_listing_source",
]

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"""House cross-source matching — 3-tier algorithm.
Tier 0 (confidence 1.0): cadastral_number exact match on houses table.
Tier 1 (confidence 1.0): ext_source + ext_id already in house_sources.
Tier 2 (confidence 0.9): address_fingerprint match in house_address_aliases.
Tier 3 (confidence 0.7): geo-proximity within 30 m (PostGIS ST_DWithin).
New (confidence 1.0): INSERT new canonical house.
Algorithm reference: decisions/Cross_Source_Matching_Strategy.md sec 3
"""
import logging
from sqlalchemy import text
from sqlalchemy.orm import Session
from app.services.matching.normalize import address_fingerprint, normalize_address
logger = logging.getLogger(__name__)
def match_or_create_house(
db: Session,
ext_source: str,
ext_id: str,
address: str | None = None,
lat: float | None = None,
lon: float | None = None,
*,
year_built: int | None = None,
building_cadastral_number: str | None = None,
cadastral_number: str | None = None,
source_url: str | None = None,
) -> tuple[int, float, str]:
"""Match existing house or create new canonical record.
KNOWN LIMITATION: Concurrent calls for the same address can race
two scrapers calling simultaneously for an unknown address can both
miss Tier 0-3 and each INSERT a new house row. Mitigation (Stage 8.x):
gate scraper concurrency to 1 per fingerprint OR add
pg_advisory_xact_lock(hashtext(normalized_address)) at function entry.
Returns:
(house_id, confidence [0.0, 1.0], method {
'cadastr_exact', 'source_exact', 'fingerprint', 'geo_proximity', 'new'
})
Method values:
'cadastr_exact' matched by cadastral number (confidence 1.0)
'source_exact' already in house_sources for this source+ext_id (confidence 1.0)
'fingerprint' matched by address fingerprint (confidence 0.9)
'geo_proximity' matched by geo within 30 m (confidence 0.7)
'new' new house created (confidence 1.0)
"""
cad = building_cadastral_number or cadastral_number
# Tier 0: cadastral number exact match
if cad:
row = db.execute(
text('SELECT id FROM houses WHERE cadastral_number = :cad ORDER BY id ASC LIMIT 1'),
{'cad': cad},
).mappings().first()
if row:
house_id = int(row['id'])
_upsert_house_source(
db, house_id=house_id, ext_source=ext_source, ext_id=ext_id,
method='cadastr_exact', confidence=1.0,
)
logger.info('house match cadastr_exact house_id=%s cad=%s', house_id, cad)
return (house_id, 1.0, 'cadastr_exact')
# Tier 1: source+ext_id already registered in house_sources
row = db.execute(
text(
'SELECT house_id FROM house_sources '
'WHERE ext_source = :s AND ext_id = :e LIMIT 1'
),
{'s': ext_source, 'e': str(ext_id)},
).mappings().first()
if row:
house_id = int(row['house_id'])
logger.info('house match source_exact house_id=%s src=%s ext_id=%s', house_id, ext_source,
ext_id)
return (house_id, 1.0, 'source_exact')
# Compute fingerprint once for Tier 2 and reuse for new house registration
fp = address_fingerprint(address, lat, lon)
# Tier 2: address fingerprint lookup
row = db.execute(
text(
'SELECT house_id FROM house_address_aliases '
'WHERE fingerprint = :fp LIMIT 1'
),
{'fp': fp},
).mappings().first()
if row:
house_id = int(row['house_id'])
_upsert_house_source(
db, house_id=house_id, ext_source=ext_source, ext_id=ext_id,
method='fingerprint', confidence=0.9,
)
logger.info('house match fingerprint house_id=%s fp=%s', house_id, fp)
return (house_id, 0.9, 'fingerprint')
# Tier 3: geo-proximity — within 30 m (PostGIS geography cast on both sides)
if lat is not None and lon is not None:
row = db.execute(
text("""
SELECT id,
ST_Distance(geom::geography, ST_MakePoint(:lon, :lat)::geography) AS dist
FROM houses
WHERE geom IS NOT NULL
AND ST_DWithin(geom::geography, ST_MakePoint(:lon, :lat)::geography, 30)
ORDER BY dist ASC
LIMIT 1
"""),
{'lat': lat, 'lon': lon},
).mappings().first()
if row:
house_id = int(row['id'])
_upsert_house_source(
db, house_id=house_id, ext_source=ext_source, ext_id=ext_id,
method='geo_proximity', confidence=0.7,
)
# Register fingerprint alias so future calls skip geo lookup
_insert_alias(db, house_id=house_id, address=address, fp=fp, source=ext_source)
logger.info(
'house match geo_proximity house_id=%s dist=%.1f src=%s',
house_id, float(row['dist']), ext_source,
)
return (house_id, 0.7, 'geo_proximity')
# New house — INSERT canonical record.
# geom column is auto-populated by houses_set_geom_trg BEFORE INSERT trigger from lat/lon.
# Do NOT include geom in the INSERT column list — trigger handles it.
url = source_url or f'matching://{ext_source}/{ext_id}'
row = db.execute(
text("""
INSERT INTO houses (source, ext_house_id, url, address, lat, lon, year_built,
cadastral_number)
VALUES (
:src, :eid, :url,
:addr,
CAST(:lat AS double precision),
CAST(:lon AS double precision),
CAST(:yb AS integer),
:cad
)
ON CONFLICT (source, ext_house_id) DO UPDATE SET
address = COALESCE(EXCLUDED.address, houses.address)
RETURNING id
"""),
{
'src': ext_source,
'eid': str(ext_id),
'url': url,
'addr': address,
'lat': lat,
'lon': lon,
'yb': year_built,
'cad': cad,
},
).mappings().one()
house_id = int(row['id'])
_upsert_house_source(
db, house_id=house_id, ext_source=ext_source, ext_id=ext_id,
method='new', confidence=1.0,
)
_insert_alias(db, house_id=house_id, address=address, fp=fp, source=ext_source)
logger.info('house new house_id=%s addr=%r src=%s', house_id, address, ext_source)
return (house_id, 1.0, 'new')
def _upsert_house_source(
db: Session,
*,
house_id: int,
ext_source: str,
ext_id: str,
method: str,
confidence: float,
) -> None:
"""Insert or refresh house_sources row for this source+ext_id."""
db.execute(
text("""
INSERT INTO house_sources (
house_id, ext_source, ext_id, confidence, matched_method, matched_at, last_seen_at
) VALUES (
CAST(:hid AS bigint), :s, :e,
CAST(:c AS real), :m, NOW(), NOW()
)
ON CONFLICT (ext_source, ext_id) DO UPDATE SET
confidence = GREATEST(EXCLUDED.confidence, house_sources.confidence),
last_seen_at = NOW()
"""),
{'hid': house_id, 's': ext_source, 'e': str(ext_id), 'c': confidence, 'm': method},
)
def _insert_alias(
db: Session,
*,
house_id: int,
address: str | None,
fp: str,
source: str,
) -> None:
"""Register normalized_address alias for this house (idempotent on normalized_address)."""
db.execute(
text("""
INSERT INTO house_address_aliases (house_id, normalized_address, fingerprint, source)
VALUES (CAST(:hid AS bigint), :na, :fp, :src)
ON CONFLICT (normalized_address) DO NOTHING
"""),
{
'hid': house_id,
'na': normalize_address(address),
'fp': fp,
'src': source,
},
)

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"""Listing cross-source matching — 3-tier algorithm.
Tier 0 (confidence 1.0): cadastral_number exact match on listings table.
Tier 1 (confidence 1.0): ext_source + ext_id already in listing_sources.
Tier 2 (confidence 0.85): description_minhash exact match within same house.
Tier 3 (confidence 0.75): composite match house + floor + area ±2% + rooms.
New (sentinel 0): caller is responsible for INSERT + call _upsert_listing_source.
Algorithm reference: decisions/Cross_Source_Matching_Strategy.md sec 4
"""
import json
import logging
from sqlalchemy import text
from sqlalchemy.orm import Session
logger = logging.getLogger(__name__)
def match_or_create_listing(
db: Session,
ext_source: str,
ext_id: str,
house_id: int,
floor: int | None = None,
rooms_count: int | None = None,
area_m2: float | None = None,
price_rub: float | None = None,
*,
cadastral_number: str | None = None,
description_minhash: str | None = None,
source_url: str | None = None,
source_data: dict | None = None,
) -> tuple[int, float, str]:
"""Match existing listing or signal that caller should create a new one.
Returns:
(listing_id, confidence in [0.0, 1.0], method name)
Method values:
'cadastr_exact' matched by cadastral number (confidence 1.0)
'source_exact' already in listing_sources for this source+ext_id (confidence 1.0)
'minhash' matched by description minhash within house (confidence 0.85)
'composite' matched by house+floor+area±2%+rooms (confidence 0.75)
'new' no match; caller must INSERT listing then call upsert_listing_source()
When method == 'new', listing_id is 0 (sentinel). Caller flow:
listing_id, conf, method = match_or_create_listing(db, ...)
if method == 'new':
listing_id = <INSERT canonical listing row>
upsert_listing_source(db, listing_id=listing_id, ...)
"""
# Tier 0: cadastral number exact match
if cadastral_number:
row = db.execute(
text(
'SELECT id FROM listings WHERE cadastral_number = :cad ORDER BY id ASC LIMIT 1'
),
{'cad': cadastral_number},
).mappings().first()
if row:
listing_id = int(row['id'])
_upsert_listing_source(
db, listing_id=listing_id, ext_source=ext_source, ext_id=ext_id,
method='cadastr_exact', confidence=1.0,
price_rub=price_rub, area_m2=area_m2, floor=floor,
rooms_count=rooms_count, source_url=source_url, source_data=source_data,
)
logger.info('listing match cadastr_exact id=%s cad=%s', listing_id, cadastral_number)
return (listing_id, 1.0, 'cadastr_exact')
# Tier 1: source+ext_id already registered
row = db.execute(
text(
'SELECT listing_id FROM listing_sources '
'WHERE ext_source = :s AND ext_id = :e LIMIT 1'
),
{'s': ext_source, 'e': str(ext_id)},
).mappings().first()
if row:
listing_id = int(row['listing_id'])
logger.info('listing match source_exact id=%s src=%s ext_id=%s', listing_id, ext_source,
ext_id)
return (listing_id, 1.0, 'source_exact')
# Tier 2: description minhash match within same house
# Stage 8 v1: exact match on pre-computed minhash string.
# Future (Stage 8.x): replace with datasketch MinHash LSH for approximate Jaccard.
if description_minhash:
row = db.execute(
text("""
SELECT id FROM listings
WHERE house_id = CAST(:hid AS bigint)
AND description_minhash = :hash
LIMIT 1
"""),
{'hid': house_id, 'hash': description_minhash},
).mappings().first()
if row:
listing_id = int(row['id'])
_upsert_listing_source(
db, listing_id=listing_id, ext_source=ext_source, ext_id=ext_id,
method='minhash', confidence=0.85,
price_rub=price_rub, area_m2=area_m2, floor=floor,
rooms_count=rooms_count, source_url=source_url, source_data=source_data,
)
logger.info('listing match minhash id=%s hash=%s', listing_id, description_minhash)
return (listing_id, 0.85, 'minhash')
# Tier 3: composite match — house + floor + area ±2% + rooms
if house_id and floor is not None and area_m2 is not None and rooms_count is not None:
row = db.execute(
text("""
SELECT id,
ABS(area_m2 - CAST(:area AS numeric)) AS diff
FROM listings
WHERE house_id = CAST(:hid AS bigint)
AND floor = :fl
AND rooms = :rc
AND area_m2 BETWEEN CAST(:area AS numeric) * 0.98
AND CAST(:area AS numeric) * 1.02
ORDER BY diff ASC
LIMIT 1
"""),
{'hid': house_id, 'fl': floor, 'rc': rooms_count, 'area': area_m2},
).mappings().first()
if row:
listing_id = int(row['id'])
_upsert_listing_source(
db, listing_id=listing_id, ext_source=ext_source, ext_id=ext_id,
method='composite', confidence=0.75,
price_rub=price_rub, area_m2=area_m2, floor=floor,
rooms_count=rooms_count, source_url=source_url, source_data=source_data,
)
logger.info(
'listing match composite id=%s house=%s floor=%s area=%.1f rooms=%s',
listing_id, house_id, floor, area_m2, rooms_count,
)
return (listing_id, 0.75, 'composite')
# No match — signal caller to create new listing
return (0, 1.0, 'new')
def upsert_listing_source(
db: Session,
*,
listing_id: int,
ext_source: str,
ext_id: str,
method: str,
confidence: float,
price_rub: float | None = None,
area_m2: float | None = None,
floor: int | None = None,
rooms_count: int | None = None,
source_url: str | None = None,
source_data: dict | None = None,
) -> None:
"""Public helper — register or refresh a listing_sources row.
Called by external code after creating a new canonical listing.
"""
_upsert_listing_source(
db,
listing_id=listing_id,
ext_source=ext_source,
ext_id=ext_id,
method=method,
confidence=confidence,
price_rub=price_rub,
area_m2=area_m2,
floor=floor,
rooms_count=rooms_count,
source_url=source_url,
source_data=source_data,
)
def _upsert_listing_source(
db: Session,
*,
listing_id: int,
ext_source: str,
ext_id: str,
method: str,
confidence: float,
price_rub: float | None,
area_m2: float | None,
floor: int | None,
rooms_count: int | None,
source_url: str | None,
source_data: dict | None,
) -> None:
"""Insert or refresh listing_sources row for this source+ext_id."""
raw = json.dumps(source_data) if source_data is not None else None
db.execute(
text("""
INSERT INTO listing_sources (
listing_id, ext_source, ext_id,
confidence, matched_method, matched_at, last_seen_at,
source_url, last_scraped_at,
price_rub, area_m2, floor, rooms_count, raw_payload
) VALUES (
CAST(:lid AS bigint), :s, :e,
CAST(:c AS real), :m, NOW(), NOW(),
:url, NOW(),
CAST(:p AS bigint), CAST(:a AS numeric), :fl, :rc,
CAST(:raw AS jsonb)
)
ON CONFLICT (ext_source, ext_id) DO UPDATE SET
confidence = GREATEST(EXCLUDED.confidence, listing_sources.confidence),
last_seen_at = NOW(),
last_scraped_at = NOW(),
price_rub = COALESCE(EXCLUDED.price_rub, listing_sources.price_rub),
area_m2 = COALESCE(EXCLUDED.area_m2, listing_sources.area_m2),
floor = COALESCE(EXCLUDED.floor, listing_sources.floor),
rooms_count = COALESCE(EXCLUDED.rooms_count, listing_sources.rooms_count),
raw_payload = COALESCE(EXCLUDED.raw_payload, listing_sources.raw_payload)
"""),
{
'lid': listing_id,
's': ext_source,
'e': str(ext_id),
'c': confidence,
'm': method,
'url': source_url,
# Migration 029 declares listing_sources.price_rub bigint — whole rubles only,
# kopecks truncated. Document expectation in caller.
'p': int(price_rub) if price_rub is not None else None,
'a': area_m2,
'fl': floor,
'rc': rooms_count,
'raw': raw,
},
)

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"""Address normalization and fingerprint utilities.
Used by 3-tier matching to produce stable, source-independent keys.
Algorithm reference: decisions/Cross_Source_Matching_Strategy.md sec 3.2
"""
import hashlib
import re
import unicodedata
# Strip punctuation EXCEPT hyphens — keep hyphens so abbreviation rules like
# 'пр-кт', 'б-р', 'пр-д' can match before they are collapsed to spaces.
_PUNCT = re.compile(r'[^\w\s\-]', flags=re.UNICODE)
_WS = re.compile(r'\s+')
# Abbreviation expansion — applied after lowercasing, bounded by spaces.
# Order matters: longer/more-specific patterns first to avoid partial overlap.
# Hyphenated forms ('пр-кт', 'б-р', 'пр-д') come first so they match before
# the shorter variants ('пр', 'б') would erroneously consume the prefix.
_ABBREV = [
(' пр-кт ', ' проспект '),
(' пр-кт. ', ' проспект '),
(' б-р ', ' бульвар '),
(' пр-д ', ' проезд '),
(' ш ', ' шоссе '),
(' ул ', ' улица '),
(' ул. ', ' улица '),
(' пр ', ' проспект '),
(' пр. ', ' проспект '),
(' пер ', ' переулок '),
(' пл ', ' площадь '),
(' наб ', ' набережная '),
(' бул ', ' бульвар '),
(' туп ', ' тупик '),
(' стр ', ' строение '),
(' корп ', ' корпус '),
(' д ', ' дом '),
(' к ', ' корпус '),
]
def normalize_address(text: str | None) -> str:
"""Normalize address string for cross-source comparison.
Steps:
1. Unicode NFC normalization
2. Lowercase
3. Strip punctuation except hyphens (preserve 'пр-кт', 'б-р', 'пр-д' for expansion)
4. Collapse whitespace
5. Expand common Russian address abbreviations (hyphenated forms first)
6. Collapse remaining hyphens to spaces
"""
if not text:
return ""
s = unicodedata.normalize('NFC', text).lower()
s = _PUNCT.sub(' ', s) # strip punctuation EXCEPT hyphens
s = _WS.sub(' ', s).strip()
# Wrap with spaces for clean boundary matching
s = f' {s} '
for short, full in _ABBREV:
s = s.replace(short, full)
# Collapse remaining hyphens (e.g. standalone '-' separators or numeric ranges)
s = s.replace('-', ' ')
return _WS.sub(' ', s).strip()
def address_fingerprint(address: str | None, lat: float | None, lon: float | None) -> str:
"""SHA-256 fingerprint of normalized address + rounded coordinates (4 dp ≈ 11 m).
Returns first 32 hex chars of the digest (128 bits collision-safe for millions of rows).
"""
norm_addr = normalize_address(address or '')
lat_r = f'{lat:.4f}' if lat is not None else ''
lon_r = f'{lon:.4f}' if lon is not None else ''
key = f'{norm_addr}|{lat_r}|{lon_r}'
return hashlib.sha256(key.encode('utf-8')).hexdigest()[:32]

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"""Unit tests for cross-source matching service.
Covers:
- normalize_address(): abbreviation expansion, punctuation stripping, edge cases
- address_fingerprint(): stability on case variation, sensitivity to coords, None handling
- match_or_create_house() / match_or_create_listing(): mock-DB tier routing
Reference: decisions/Cross_Source_Matching_Strategy.md
"""
from unittest.mock import MagicMock
from app.services.matching.conflict_resolution import (
HOUSE_FIELD_PRIORITY,
LISTING_FIELD_PRIORITY,
update_canonical_fields,
)
from app.services.matching.normalize import address_fingerprint, normalize_address
# ---------------------------------------------------------------------------
# normalize_address
# ---------------------------------------------------------------------------
def test_normalize_strips_punctuation_and_collapses_whitespace():
assert normalize_address(" Test, Address! ") == "test address"
def test_normalize_expands_ul_abbreviation():
result = normalize_address("ул Ленина, 5")
assert "улица" in result
assert "5" in result
def test_normalize_expands_pr_abbreviation():
result = normalize_address("пр Мира 100")
assert "проспект" in result
assert "100" in result
def test_normalize_expands_prkT_abbreviation():
result = normalize_address("пр-кт Ленина 10")
assert "проспект" in result
# 'кт' must NOT remain as a stray token after expansion
assert 'кт' not in result.split()
def test_normalize_prkT_no_leftover_kt():
"""пр-кт must expand to 'проспект' cleanly — no leftover 'кт' token."""
result = normalize_address("пр-кт Ленина 10")
tokens = result.split()
assert "проспект" in tokens
assert "пр" not in tokens
assert "кт" not in tokens
def test_normalize_handles_none():
assert normalize_address(None) == ""
def test_normalize_handles_empty_string():
assert normalize_address("") == ""
def test_normalize_lowercases():
assert normalize_address("ТЕСТ") == "тест"
def test_normalize_unicode_nfc():
# Composed vs decomposed е (U+0435 vs U+0435)
s1 = normalize_address("улица")
s2 = normalize_address("улица")
assert s1 == s2
# ---------------------------------------------------------------------------
# address_fingerprint
# ---------------------------------------------------------------------------
def test_fingerprint_stable_on_case_variation():
f1 = address_fingerprint("Ленина 5", 56.8378, 60.5946)
f2 = address_fingerprint("ЛЕНИНА 5", 56.8378, 60.5946)
assert f1 == f2
def test_fingerprint_distinct_on_different_lat():
f1 = address_fingerprint("Same Address", 56.8, 60.5)
f2 = address_fingerprint("Same Address", 56.9, 60.5)
assert f1 != f2
def test_fingerprint_distinct_on_different_lon():
f1 = address_fingerprint("Same Address", 56.8, 60.5)
f2 = address_fingerprint("Same Address", 56.8, 60.6)
assert f1 != f2
def test_fingerprint_stable_within_11m(monkeypatch):
# 4 decimal places → ~11 m resolution; coords differing in 5th decimal should match
f1 = address_fingerprint("Addr", 56.83780, 60.59460)
f2 = address_fingerprint("Addr", 56.83781, 60.59461)
# 4dp rounding: 56.8378 == 56.8378, 60.5946 == 60.5946 → same fingerprint
assert f1 == f2
def test_fingerprint_handles_none_coords():
fp = address_fingerprint("Some Address", None, None)
assert len(fp) == 32 # truncated sha256 hex
def test_fingerprint_handles_none_address():
fp = address_fingerprint(None, 56.8, 60.5)
assert len(fp) == 32
def test_fingerprint_all_none():
fp = address_fingerprint(None, None, None)
assert len(fp) == 32
# ---------------------------------------------------------------------------
# match_or_create_house — mock DB tier routing
# ---------------------------------------------------------------------------
def _make_db(rows: list[dict | None]) -> MagicMock:
"""Build a Session mock that returns rows sequentially per execute() call."""
db = MagicMock()
side_effects = []
for row in rows:
result = MagicMock()
mappings = MagicMock()
if row is None:
mappings.first.return_value = None
mappings.one.return_value = None
else:
mappings.first.return_value = row
mappings.one.return_value = row
result.mappings.return_value = mappings
side_effects.append(result)
db.execute.side_effect = side_effects
return db
def test_match_house_tier0_cadastr():
"""Tier 0: cadastral_number match → returns cadastr_exact without geo query."""
from app.services.matching.houses import match_or_create_house
db = _make_db([
{'id': 42}, # cadastral match
None, # _upsert_house_source (INSERT ... ON CONFLICT)
])
house_id, conf, method = match_or_create_house(
db, 'cian', 'ext-001',
address='ул Ленина 5', lat=56.8, lon=60.5,
cadastral_number='66:41:0000000:999',
)
assert house_id == 42
assert conf == 1.0
assert method == 'cadastr_exact'
def test_match_house_tier1_source_exact():
"""Tier 1: ext_source+ext_id already in house_sources.
No cadastral_number supplied Tier 0 skipped entirely.
First db.execute call goes to house_sources query.
source_exact returns immediately without calling _upsert_house_source.
"""
from app.services.matching.houses import match_or_create_house
db = _make_db([
{'house_id': 7}, # house_sources hit (first and only execute call)
])
house_id, conf, method = match_or_create_house(
db, 'avito', 'ext-999',
address='пр Мира 10', lat=56.8, lon=60.5,
)
assert house_id == 7
assert method == 'source_exact'
def test_match_house_tier2_fingerprint():
"""Tier 2: fingerprint match in house_address_aliases."""
from app.services.matching.houses import match_or_create_house
db = _make_db([
None, # house_sources miss
{'house_id': 15}, # fingerprint hit
None, # _upsert_house_source
])
house_id, conf, method = match_or_create_house(
db, 'yandex', 'ext-123',
address='Тестовая 1', lat=56.84, lon=60.60,
)
assert house_id == 15
assert conf == 0.9
assert method == 'fingerprint'
def test_match_house_tier3_geo():
"""Tier 3: geo-proximity match."""
from app.services.matching.houses import match_or_create_house
db = _make_db([
None, # house_sources miss
None, # fingerprint miss
{'id': 22, 'dist': 15.5}, # geo hit
None, # _upsert_house_source
None, # _insert_alias
])
house_id, conf, method = match_or_create_house(
db, 'n1', 'ext-456',
address='Новая 3', lat=56.83, lon=60.59,
)
assert house_id == 22
assert conf == 0.7
assert method == 'geo_proximity'
def test_match_house_new():
"""All tiers miss → new house created."""
from app.services.matching.houses import match_or_create_house
db = _make_db([
None, # house_sources miss
None, # fingerprint miss
None, # geo miss
{'id': 99}, # INSERT RETURNING id
None, # _upsert_house_source
None, # _insert_alias
])
house_id, conf, method = match_or_create_house(
db, 'avito', 'new-ext',
address='Новостройка 1', lat=56.85, lon=60.61,
)
assert house_id == 99
assert conf == 1.0
assert method == 'new'
# ---------------------------------------------------------------------------
# match_or_create_listing — mock DB tier routing
# ---------------------------------------------------------------------------
def test_match_listing_tier0_cadastr():
from app.services.matching.listings import match_or_create_listing
db = _make_db([
{'id': 200}, # cadastral hit
None, # _upsert_listing_source
])
listing_id, conf, method = match_or_create_listing(
db, 'cian', 'cian-555', house_id=10,
floor=5, rooms_count=2, area_m2=48.5, price_rub=5_000_000.0,
cadastral_number='66:41:0204016:1234',
)
assert listing_id == 200
assert method == 'cadastr_exact'
def test_match_listing_tier1_source_exact():
"""Tier 1: no cadastral_number → Tier 0 skipped; first execute is listing_sources hit."""
from app.services.matching.listings import match_or_create_listing
db = _make_db([
{'listing_id': 101}, # listing_sources hit (first and only execute call)
])
listing_id, conf, method = match_or_create_listing(
db, 'avito', 'avito-888', house_id=10,
)
assert listing_id == 101
assert method == 'source_exact'
def test_match_listing_tier2_minhash():
from app.services.matching.listings import match_or_create_listing
db = _make_db([
None, # listing_sources miss
{'id': 55}, # minhash hit
None, # _upsert_listing_source
])
listing_id, conf, method = match_or_create_listing(
db, 'cian', 'cian-999', house_id=10,
description_minhash='abc123deadbeef',
)
assert listing_id == 55
assert conf == 0.85
assert method == 'minhash'
def test_match_listing_tier3_composite():
"""Tier 3: no cadastral + no minhash provided → tiers 0/2 skipped.
Execute order: listing_sources miss composite hit _upsert.
"""
from app.services.matching.listings import match_or_create_listing
db = _make_db([
None, # listing_sources miss (Tier 1)
{'id': 77, 'diff': 0.1}, # composite hit (Tier 3; Tier 2 skipped — no hash)
None, # _upsert_listing_source
])
listing_id, conf, method = match_or_create_listing(
db, 'cian', 'cian-777', house_id=10,
floor=3, rooms_count=1, area_m2=36.0,
)
assert listing_id == 77
assert conf == 0.75
assert method == 'composite'
def test_match_listing_new():
from app.services.matching.listings import match_or_create_listing
db = _make_db([
None, # listing_sources miss
None, # composite miss (floor/area/rooms all None → tier skipped)
])
listing_id, conf, method = match_or_create_listing(
db, 'avito', 'avito-new', house_id=10,
)
assert listing_id == 0
assert method == 'new'
# ---------------------------------------------------------------------------
# conflict_resolution
# ---------------------------------------------------------------------------
def test_field_priority_dicts_not_empty():
assert HOUSE_FIELD_PRIORITY
assert LISTING_FIELD_PRIORITY
VALID_STRING_RULES = {"union", "cross_validate", "first_non_null"}
def test_field_priority_sources_are_lists_or_known_string_rules():
"""Each priority entry is either a source list or a known string rule.
PR #471 (main) introduced 'union' / 'cross_validate' / 'first_non_null' string
rules alongside list entries. Both are valid per LISTING_FIELD_PRIORITY type hint.
"""
for col, sources in HOUSE_FIELD_PRIORITY.items():
assert isinstance(sources, list) or sources in VALID_STRING_RULES, (
f'HOUSE_FIELD_PRIORITY[{col!r}] must be list or known rule, got {sources!r}'
)
for col, sources in LISTING_FIELD_PRIORITY.items():
assert isinstance(sources, list) or sources in VALID_STRING_RULES, (
f'LISTING_FIELD_PRIORITY[{col!r}] must be list or known rule, got {sources!r}'
)
def test_update_canonical_fields_is_callable():
"""Stage 8 v1 — legacy stub (no-op pass). Full arbitration deferred to Stage 8.x.
PR #471 (main) replaced NotImplementedError stub with silent pass to allow
backward-compat imports. Test updated accordingly.
"""
db = MagicMock()
# Should not raise — no-op stub returns None
result = update_canonical_fields(db, listing_id=1, ext_source='cian', lot_data=object())
assert result is None