[iata-metro] remove hash invariant tests
Browse files- test/test_invariants.py +10 -44
test/test_invariants.py
CHANGED
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@@ -7,12 +7,10 @@ Run from dataset root after cloning:
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Verifies:
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- name field matches lang selection (name_en/ru/zh)
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-
- hash = SHA256(name)
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- lang matches region-based language rule
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-
-
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"""
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-
import hashlib
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import pytest
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from datasets import load_dataset
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@@ -48,74 +46,43 @@ def test_lang_values_valid(dataset):
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assert invalid == [], f"Invalid lang values: {invalid[:5]}"
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-
def test_hash_format_valid(dataset):
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"""hash field must be 64-char hex string (if name exists)."""
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invalid = [
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(i, e['hash'])
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for i, e in enumerate(dataset)
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if e.get('hash') is not None and not (
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isinstance(e['hash'], str) and
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len(e['hash']) == 64 and
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all(c in '0123456789abcdef' for c in e['hash'])
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)
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]
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assert invalid == [], f"Invalid hash format: {invalid[:5]}"
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-
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-
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def test_name_matches_lang_field(dataset):
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"""name field must equal name_en/ru/zh based on lang."""
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lang_to_field = {'en': 'name_en', 'ru': 'name_ru', 'zh': 'name_zh'}
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mismatches = []
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-
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for i, entry in enumerate(dataset):
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name = entry.get('name')
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lang = entry.get('lang')
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if not name or not lang:
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continue
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-
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field_name = lang_to_field.get(lang)
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lang_field_value = entry.get(field_name)
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-
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if name != lang_field_value:
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mismatches.append((i, entry.get('code'), lang, name[:20], lang_field_value[:20] if lang_field_value else None))
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if len(mismatches) >= 5:
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break
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-
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assert mismatches == [], f"Name/lang field mismatches: {mismatches}"
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-
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def test_hash_matches_name(dataset):
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"""hash field must equal SHA256(name)."""
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mismatches = []
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for i, entry in enumerate(dataset):
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name = entry.get('name')
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stored_hash = entry.get('hash')
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if name and stored_hash:
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expected_hash = hashlib.sha256(name.encode()).hexdigest()
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if stored_hash != expected_hash:
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mismatches.append((i, entry.get('code'), stored_hash[:8], expected_hash[:8]))
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if len(mismatches) >= 5:
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break
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assert mismatches == [], f"Hash mismatches: {mismatches}"
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def test_lang_matches_region(dataset):
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"""lang field must match region's language rule."""
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mismatches = []
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-
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for i, entry in enumerate(dataset):
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region = entry.get('region')
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lang = entry.get('lang')
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expected_lang = determine_expected_lang(region)
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-
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if lang != expected_lang:
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mismatches.append((i, entry.get('code'), region, lang, expected_lang))
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if len(mismatches) >= 5:
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break
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-
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assert mismatches == [], f"Lang mismatches: {
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def test_coordinates_valid(dataset):
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@@ -126,5 +93,4 @@ def test_coordinates_valid(dataset):
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if (e.get('lat') is not None and (e['lat'] < -90 or e['lat'] > 90)) or
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(e.get('lon') is not None and (e['lon'] < -180 or e['lon'] > 180))
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]
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assert invalid == [], f"Invalid coordinates: {
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-
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Verifies:
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- name field matches lang selection (name_en/ru/zh)
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- lang matches region-based language rule
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+
- coordinates are in valid range
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"""
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import pytest
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from datasets import load_dataset
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assert invalid == [], f"Invalid lang values: {invalid[:5]}"
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def test_name_matches_lang_field(dataset):
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"""name field must equal name_en/ru/zh based on lang."""
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lang_to_field = {'en': 'name_en', 'ru': 'name_ru', 'zh': 'name_zh'}
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mismatches = []
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+
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for i, entry in enumerate(dataset):
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name = entry.get('name')
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lang = entry.get('lang')
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if not name or not lang:
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continue
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+
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field_name = lang_to_field.get(lang)
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lang_field_value = entry.get(field_name)
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+
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if name != lang_field_value:
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mismatches.append((i, entry.get('code'), lang, name[:20], lang_field_value[:20] if lang_field_value else None))
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if len(mismatches) >= 5:
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break
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assert mismatches == [], f"Name/lang field mismatches: {mismatches}"
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def test_lang_matches_region(dataset):
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"""lang field must match region's language rule."""
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mismatches = []
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+
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for i, entry in enumerate(dataset):
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region = entry.get('region')
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lang = entry.get('lang')
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expected_lang = determine_expected_lang(region)
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+
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if lang != expected_lang:
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mismatches.append((i, entry.get('code'), region, lang, expected_lang))
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if len(mismatches) >= 5:
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break
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+
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assert mismatches == [], f"Lang mismatches: {mismatches}"
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def test_coordinates_valid(dataset):
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if (e.get('lat') is not None and (e['lat'] < -90 or e['lat'] > 90)) or
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(e.get('lon') is not None and (e['lon'] < -180 or e['lon'] > 180))
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]
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assert invalid == [], f"Invalid coordinates: {invalid[:5]}"
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