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chore: import upstream snapshot with attribution
2026-07-13 13:10:45 +08:00

156 lines
5.8 KiB
Python

"""Tests for MaskingContext — mask/unmask round-trip, stability, structured payloads."""
from __future__ import annotations
from platform.masking.context import MaskingContext
from platform.masking.policy import ALL_KINDS, MaskingPolicy
def _enabled_ctx() -> MaskingContext:
policy = MaskingPolicy.model_validate({"enabled": True, "kinds": ALL_KINDS})
return MaskingContext(policy=policy)
def _disabled_ctx() -> MaskingContext:
policy = MaskingPolicy.model_validate({"enabled": False, "kinds": ALL_KINDS})
return MaskingContext(policy=policy)
def test_disabled_policy_is_identity() -> None:
ctx = _disabled_ctx()
text = "pod etl-worker-7d9f8b-xkp2q failing in kube_namespace:tracer-test"
assert ctx.mask(text) == text
assert ctx.placeholder_map == {}
def test_repeated_identifier_maps_to_same_placeholder() -> None:
ctx = _enabled_ctx()
text_a = ctx.mask("kube_namespace:payments-prod saw error")
text_b = ctx.mask("second alert also in kube_namespace:payments-prod")
# Same real value should reuse the same placeholder.
ns_placeholder = next(
ph for ph, original in ctx.placeholder_map.items() if original == "payments-prod"
)
assert ns_placeholder in text_a
assert ns_placeholder in text_b
assert sum(1 for _ in ctx.placeholder_map.values() if _ == "payments-prod") == 1
def test_round_trip_restores_originals() -> None:
ctx = _enabled_ctx()
original = (
"pod etl-worker-7d9f8b-xkp2q in kube_namespace:tracer-test from "
"host kind-control-plane account 123456789012 email alice@example.com"
)
masked = ctx.mask(original)
assert masked != original
assert ctx.unmask(masked) == original
def test_structured_payload_recursive_mask_and_unmask() -> None:
ctx = _enabled_ctx()
payload = {
"alert_name": "PodCrashLoop",
"tags": ["kube_namespace:prod", "pod:worker-7d9f8b-abcde"],
"nested": {
"host": "kind-control-plane",
"ip": "192.168.1.50",
},
}
masked = ctx.mask_value(payload)
assert masked["alert_name"] == "PodCrashLoop"
# kube_namespace now contains a placeholder, not "prod"
assert all("prod" not in tag for tag in masked["tags"] if "kube_namespace" in tag)
assert "kind-control-plane" not in str(masked["nested"])
assert "192.168.1.50" not in str(masked["nested"])
restored = ctx.unmask_value(masked)
assert restored == payload
def test_placeholder_format_is_stable() -> None:
ctx = _enabled_ctx()
ctx.mask("kube_namespace:alpha")
ctx.mask("kube_namespace:bravo")
placeholders = list(ctx.placeholder_map.keys())
assert any(p.startswith("<NAMESPACE_") for p in placeholders)
# Unique placeholders for distinct originals
assert len(placeholders) == len(set(placeholders))
def test_placeholder_collisions_are_prevented() -> None:
ctx = _enabled_ctx()
ctx.mask("host kind-control-plane")
ctx.mask("kube_namespace:kind-control-plane") # different kind, same value
# Even though the same string "kind-control-plane" appears in two contexts,
# the reverse_map prevents allocating a new placeholder.
values = list(ctx.placeholder_map.values())
assert values.count("kind-control-plane") == 1
def test_from_state_reconstructs_context() -> None:
ctx = _enabled_ctx()
masked = ctx.mask("kube_namespace:prod incident")
# Simulate state carrying the map between nodes
state = {"masking_map": ctx.to_state()}
reconstructed = MaskingContext.from_state(state)
assert reconstructed.unmask(masked) == "kube_namespace:prod incident"
def test_unmask_empty_map_is_identity() -> None:
ctx = _enabled_ctx()
assert ctx.unmask("nothing here") == "nothing here"
def test_non_string_values_pass_through() -> None:
ctx = _enabled_ctx()
assert ctx.mask_value(42) == 42
assert ctx.mask_value(None) is None
assert ctx.mask_value(True) is True
def test_empty_string_masked_to_empty_string() -> None:
ctx = _enabled_ctx()
assert ctx.mask("") == ""
assert ctx.unmask("") == ""
def test_counters_stable_when_map_iterated_out_of_order() -> None:
"""Regression: a placeholder map with <NS_2> before <NS_0> must not
inflate the counter (previously yielded 4 instead of 3)."""
policy = MaskingPolicy.model_validate({"enabled": True, "kinds": ALL_KINDS})
# Intentionally insert in non-ascending index order
seeded = {
"<NAMESPACE_2>": "gamma",
"<NAMESPACE_0>": "alpha",
"<NAMESPACE_1>": "beta",
}
ctx = MaskingContext(policy=policy, placeholder_map=seeded)
# Allocate a fresh namespace; its index must be exactly 3 (one past the max).
masked = ctx.mask("kube_namespace:delta fresh")
fresh_placeholder = next(p for p, v in ctx.placeholder_map.items() if v == "delta")
assert fresh_placeholder == "<NAMESPACE_3>"
assert "<NAMESPACE_3>" in masked
def test_partial_overlap_matches_do_not_corrupt_text() -> None:
"""Regression: if a custom extra regex overlaps partially with a built-in
detector, both matches must not survive or _apply_replacements splices
overlapping spans and produces corrupted output."""
# Custom pattern that partially overlaps with the IP detector region.
policy = MaskingPolicy.model_validate(
{
"enabled": True,
"kinds": ("ip_address",),
# Matches "192.168.1." inside "192.168.1.50" — partial overlap with
# the IP detector's full 192.168.1.50 span.
"extra_patterns": {"partial": r"(192\.168\.1\.)"},
}
)
ctx = MaskingContext(policy=policy)
masked = ctx.mask("host 192.168.1.50 online")
# Exactly one placeholder used; the other overlap was dropped.
assert masked.count("<") == 1
# Round trip returns the original text byte-for-byte.
assert ctx.unmask(masked) == "host 192.168.1.50 online"