sankalp
0268bcfe98
drop DRF and django-filter to make django_nepkit framework‑agnostic, simplify dependencies, and align with v0.2.2 breaking change.
93 lines
3.5 KiB
Python
93 lines
3.5 KiB
Python
from django_nepkit.utils import _find_address_components, normalize_address
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def test_normalize_address_empty():
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assert normalize_address("") == {
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"province": None,
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"district": None,
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"municipality": None,
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}
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assert normalize_address(None) == {
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"province": None,
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"district": None,
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"municipality": None,
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}
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def test_normalize_address_english_basic():
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# Kathmandu is a district and a municipality
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result = normalize_address("Kathmandu")
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assert result["district"] == "Kathmandu"
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assert result["municipality"] == "Kathmandu Metropolitan City"
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assert result["province"] == "Bagmati Province"
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def test_normalize_address_english_full():
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result = normalize_address("Pokhara, Kaski, Gandaki")
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assert result["province"] == "Gandaki Province"
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assert result["district"] == "Kaski"
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assert result["municipality"] == "Pokhara Metropolitan City"
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def test_normalize_address_nepali_basic():
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result = normalize_address("काठमाडौं")
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assert result["district"] == "काठमाडौं"
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assert result["municipality"] == "काठमाडौँ महानगरपालिका"
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assert result["province"] == "बागमती प्रदेश"
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def test_normalize_address_nepali_full():
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result = normalize_address("पोखरा, कास्की, गण्डकी")
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assert result["province"] == "गण्डकी प्रदेश"
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assert result["district"] == "कास्की"
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assert result["municipality"] == "पोखरा महानगरपालिका"
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def test_normalize_address_koshi_mapping():
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# Test "Koshi" mapping to "Province 1" internally and then back to "Koshi Province"
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result = normalize_address("Biratnagar, Koshi")
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assert result["province"] == "Koshi Province"
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assert result["municipality"] == "Biratnagar Metropolitan City"
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result_ne = normalize_address("विराटनगर, कोशी")
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assert result_ne["province"] == "कोशी प्रदेश"
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assert result_ne["municipality"] == "विराटनगर महानगरपालिका"
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def test_normalize_address_with_extra_info():
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result = normalize_address("House No 123, Ward 4, Bharatpur, Chitwan")
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assert result["district"] == "Chitawan"
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assert result["municipality"] == "Bharatpur Metropolitan City"
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assert result["province"] == "Bagmati Province"
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def test_normalize_address_partial_tokens():
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# "Lalitpur" matches both district and municipality
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result = normalize_address("Lalitpur")
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assert result["district"] == "Lalitpur"
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assert result["municipality"] == "Lalitpur Metropolitan City"
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def test_normalize_address_is_memoised():
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"""Repeated calls for the same input hit the LRU cache."""
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_find_address_components.cache_clear()
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a = _find_address_components("Kathmandu")
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info = _find_address_components.cache_info()
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assert info.hits == 0
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assert info.misses == 1
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b = _find_address_components("Kathmandu")
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info2 = _find_address_components.cache_info()
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assert info2.hits == 1
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assert a is b # cached tuple is the same object
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def test_normalize_address_returns_fresh_dict():
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"""``normalize_address`` returns a fresh dict so callers can mutate safely."""
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a = normalize_address("Kathmandu")
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b = normalize_address("Kathmandu")
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assert a == b
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assert a is not b
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a["district"] = "mutated"
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# The next call must not see the mutation.
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assert normalize_address("Kathmandu")["district"] == "Kathmandu"
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