ok
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55 changed files with 594 additions and 223 deletions
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@ -5,7 +5,7 @@ or None), so these tests use a trimmed but faithful copy of a real OnTheMarket
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detail page's `__NEXT_DATA__` payload. The fixture mirrors the live structure:
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the property's own postcode lives in the analytics dataLayer
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(`props.initialReduxState.metadata.dataLayer.postcode`) while the agent's office
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postcode sits separately under `…property.agent.postcode` — the trap we must not
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postcode sits separately under `…property.agent.postcode`, the trap we must not
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fall into.
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"""
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@ -49,7 +49,7 @@ def _detail_html(
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"property": {
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"displayAddress": "Padfield Road, London, SE5",
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"location": {"lon": -0.100233, "lat": 51.466129},
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# The agent block carries the AGENT'S office postcode — the
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# The agent block carries the AGENT'S office postcode, the
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# trap. parse_detail_postcode must not return this.
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"agent": {
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"address": "29 Denmark Hill, Camberwell\nLondon\nSE5 8RS",
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@ -125,7 +125,7 @@ def test_parse_handles_missing_datalayer():
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# ---------------------------------------------------------------------------
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# transform_property — detail postcode wiring + trust rule
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# transform_property: detail postcode wiring + trust rule
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# ---------------------------------------------------------------------------
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@ -176,7 +176,7 @@ def test_transform_without_detail_postcode_uses_coordinates():
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def test_transform_detail_postcode_via_search_address_outcode():
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# When the card address already carries a full postcode that agrees with the
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# coordinates, the existing "address" source still wins absent a detail
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# postcode — detail recovery never regresses that path.
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# postcode. Detail recovery never regresses that path.
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raw = dict(_RAW_LISTING, address="Padfield Road, London, SE5 1AA")
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index = _StubIndex("SE5 1AA")
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out = transform_property(raw, index, detail_postcode=None)
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