Reverts the PARTITION BY name change — group is the correct dedup key. Partitioning by name broke country deduplication (two US records both survived, causing Svelte each_key_duplicate on alpha_2_code='US'). Root cause is bad seed data in lu_v3_time_zone: group='United States' for 13 US/* zones and group='Europe' for 63 Europe/* zones instead of group=name. A separate DB UPDATE is required to fix those rows. Tests updated to assert: - No duplicate alpha_2_code in country list (PARTITION BY group regression) - All 13 US/* and Europe/* spot-check zones present (pending DB data fix) - priority-only timezone count == 72 (pending DB data fix) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
187 lines
7.1 KiB
Python
187 lines
7.1 KiB
Python
import requests
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import time
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import sys
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import os
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# Ensure local imports work if needed
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sys.path.append(os.getcwd())
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# Configuration
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BASE_URL = "https://dev-api.oneskyit.com/v3/lookup"
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HEADERS = {
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"x-aether-api-key": "PMM4n50teUCaOMMTN8qOJA", # Standard Agent Key
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"x-account-id": "_XY7DXtc9MY" # One Sky IT Demo
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}
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# TODO: SET THIS to your demo site's random ID
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SITE_ID_RANDOM = "92vkYC4fVEl"
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# All US/* priority timezones — group must equal name in lu_v3_time_zone for these to survive
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# PARTITION BY group dedup. If group="United States" for these, only 1 survives.
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US_TIMEZONES = [
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"US/Alaska", "US/Aleutian", "US/Arizona", "US/Central", "US/East-Indiana",
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"US/Eastern", "US/Hawaii", "US/Indiana-Starke", "US/Michigan",
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"US/Mountain", "US/Pacific", "US/Pacific-New", "US/Samoa",
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]
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# Spot-check a subset of Europe/* priority timezones — same root cause as US/*
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EUROPE_TIMEZONES_SAMPLE = [
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"Europe/London", "Europe/Paris", "Europe/Prague", "Europe/Rome",
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]
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def print_result(label, success, message=""):
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status = "✅ PASS" if success else "❌ FAIL"
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print(f"{status} | {label} {': ' + message if message else ''}")
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def test_lookup_list(lu_type, site_id=None, only_priority=False):
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label = f"GET /{lu_type}/list"
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url = f"{BASE_URL}/{lu_type}/list"
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params = {}
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if site_id:
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params["site_id"] = site_id
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label += f" (Site: {site_id})"
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if only_priority:
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params["only_priority"] = "true"
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label += " (Priority Only)"
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try:
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start_time = time.time()
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response = requests.get(url, headers=HEADERS, params=params)
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duration = time.time() - start_time
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if response.status_code == 200:
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data = response.json().get('data', [])
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msg = f"Found {len(data)} items ({duration:.2f}s)"
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print_result(label, True, msg)
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# Print top 10 for sorting verification
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if data and not site_id: # Only print for full or priority lists
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limit = 10 if not only_priority else len(data)
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print(f" Items:")
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for i, item in enumerate(data[:limit]):
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prio = item.get('priority', 0)
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sort = item.get('sort', 0)
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print(f" [{i+1}] {item.get('name')} (Prio: {prio}, Sort: {sort})")
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return data
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else:
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print_result(label, False, f"Status {response.status_code}: {response.text[:100]}")
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return None
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except Exception as e:
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print_result(label, False, str(e))
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return None
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def test_lookup_resolve(lu_type, query):
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url = f"{BASE_URL}/{lu_type}/resolve"
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params = {"q": query}
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try:
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response = requests.get(url, headers=HEADERS, params=params)
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if response.status_code == 200:
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data = response.json().get('data', {})
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name = data.get('name')
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print_result(f"GET /{lu_type}/resolve?q={query}", True, f"Resolved to '{name}'")
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return True
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else:
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print_result(f"GET /{lu_type}/resolve?q={query}", False, f"Status {response.status_code}")
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return False
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except Exception as e:
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print_result(f"GET /{lu_type}/resolve?q={query}", False, str(e))
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return False
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def test_timezone_us_dedup(data):
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"""
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Regression: lu_v3_time_zone group data fix.
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All 13 US/* priority zones must appear individually.
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Root cause: group was seeded as 'United States' instead of name — PARTITION BY group
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collapsed all 13 into one winner.
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"""
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label = "time_zone: all 13 US/* zones present (group=name data fix)"
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if data is None:
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print_result(label, False, "No data")
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return
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names = {item.get("name") for item in data}
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missing = [tz for tz in US_TIMEZONES if tz not in names]
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if missing:
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print_result(label, False, f"Missing (group data not yet fixed?): {missing}")
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else:
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print_result(label, True, f"All {len(US_TIMEZONES)} US/* timezones present")
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def test_timezone_europe_dedup(data):
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"""
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Regression: same root cause as US/* — group was 'Europe' for all Europe/* zones.
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Spot-check that the priority ones appear individually after data fix.
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"""
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label = "time_zone: Europe/* spot-check (group=name data fix)"
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if data is None:
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print_result(label, False, "No data")
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return
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names = {item.get("name") for item in data}
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missing = [tz for tz in EUROPE_TIMEZONES_SAMPLE if tz not in names]
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if missing:
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print_result(label, False, f"Missing (group data not yet fixed?): {missing}")
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else:
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print_result(label, True, f"Europe/* spot-check passed ({len(EUROPE_TIMEZONES_SAMPLE)} zones found)")
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def test_country_us_dedup(data):
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"""
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Regression: PARTITION BY group must NOT produce duplicate alpha_2_code values.
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Two records exist for alpha_2_code='US' (global default + account override) — only one
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should survive. If PARTITION BY name were used, both would appear and Svelte would
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throw each_key_duplicate on alpha_2_code='US'.
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"""
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label = "country: no duplicate alpha_2_code (PARTITION BY group dedup)"
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if data is None:
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print_result(label, False, "No data")
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return
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codes = [item.get("alpha_2_code") for item in data if item.get("alpha_2_code")]
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duplicates = [c for c in set(codes) if codes.count(c) > 1]
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if duplicates:
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print_result(label, False, f"Duplicate alpha_2_codes: {duplicates}")
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else:
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print_result(label, True, f"No duplicates across {len(data)} countries")
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def test_priority_only_count(data, expected=72):
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"""priority=1 enabled timezones: should be exactly {expected} after data fix."""
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label = f"time_zone priority-only count == {expected}"
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if data is None:
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print_result(label, False, "No data")
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return
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if len(data) == expected:
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print_result(label, True, f"{len(data)} records")
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else:
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print_result(label, False, f"Got {len(data)}, expected {expected} (data fix pending?)")
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if __name__ == "__main__":
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print(f"🚀 Starting V3 Lookup E2E Suite ({BASE_URL})\n")
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start_suite = time.time()
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# 1. Country — basic list + dedup regression
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print("--- Country ---")
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country_data = test_lookup_list("country")
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test_country_us_dedup(country_data)
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# 2. Timezone — full list + group data fix regressions
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print("\n--- Timezone (full list) ---")
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tz_data = test_lookup_list("time_zone")
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test_timezone_us_dedup(tz_data)
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test_timezone_europe_dedup(tz_data)
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# 3. Timezone — priority only
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print("\n--- Timezone (priority only) ---")
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tz_priority_data = test_lookup_list("time_zone", only_priority=True)
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test_priority_only_count(tz_priority_data, expected=72)
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# 4. Whitelist Test
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if SITE_ID_RANDOM != "SET_ME_TO_SITE_ID":
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print("\n--- Site Whitelist Policy ---")
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test_lookup_list("country", site_id=SITE_ID_RANDOM)
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test_lookup_list("time_zone", site_id=SITE_ID_RANDOM)
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else:
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print("\n⚠️ Skipping whitelist test: SITE_ID_RANDOM not set.")
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# 5. Resolve
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print("\n--- Resolve ---")
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test_lookup_resolve("country", "US")
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print(f"\n⏱️ Suite completed in {time.time() - start_suite:.2f}s")
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