p2p/coe backend implemented
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from __future__ import annotations
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from typing import Any
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# Immutable-in-practice graph state for the loaded DUT test set.
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_TESTS_BY_ID: dict[str, Any] = {}
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_GRAPH: dict[str, set[str]] = {}
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def reset_graph_state() -> None:
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global _TESTS_BY_ID, _GRAPH
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_TESTS_BY_ID = {}
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_GRAPH = {}
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def is_graph_built() -> bool:
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return bool(_GRAPH)
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def build_graph_once(tests: list[Any]) -> dict[str, set[str]]:
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"""Build DUT-only compatibility adjacency graph once per load lifecycle."""
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global _TESTS_BY_ID, _GRAPH
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if _GRAPH:
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return _GRAPH
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# Keep only one representative per DUT test_id.
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_TESTS_BY_ID = {str(t.test_id): t for t in tests if getattr(t, "test_id", None)}
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_GRAPH = _build_graph(_TESTS_BY_ID)
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return _GRAPH
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def get_graph() -> dict[str, set[str]]:
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return _GRAPH
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def _build_graph(tests: dict[str, Any]) -> dict[str, set[str]]:
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test_ids = list(tests.keys())
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graph = {test_id: set() for test_id in test_ids}
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for i in range(len(test_ids)):
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for j in range(i + 1, len(test_ids)):
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a_id = test_ids[i]
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b_id = test_ids[j]
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a = tests[a_id]
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b = tests[b_id]
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if _compatible(a, b):
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graph[a_id].add(b_id)
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graph[b_id].add(a_id)
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return graph
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def _compatible(a: Any, b: Any) -> bool:
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# Compatible when same rotation, or both non-P3P and overlap has identical testpoints.
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if a.rotation == b.rotation:
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return True
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if a.test_type != "P3P" and b.test_type != "P3P" and _same_test_points_for_overlap(a.config, b.config):
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return True
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return False
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def _same_test_points_for_overlap(
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config_a: dict[str, dict[str, str | None]],
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config_b: dict[str, dict[str, str | None]],
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) -> bool:
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station_map_a = _build_station_testpoint_map(config_a)
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station_map_b = _build_station_testpoint_map(config_b)
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overlap = set(station_map_a.keys()) & set(station_map_b.keys())
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for station in overlap:
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if station_map_a[station] != station_map_b[station]:
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return False
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return True
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def _build_station_testpoint_map(config: dict[str, dict[str, str | None]]) -> dict[str, str]:
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station_to_testpoint: dict[str, str] = {}
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for band in ("5G", "6G", "2G"):
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entry = config.get(band) or {}
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testpoint = _norm(entry.get("test_point") or entry.get("Testpoint"))
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sta_raw = _norm(entry.get("sta") or entry.get("STA"))
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if not testpoint or not sta_raw:
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continue
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for sta in sta_raw.split(","):
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sta_clean = _norm(sta)
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if sta_clean:
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station_to_testpoint[sta_clean] = testpoint
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return station_to_testpoint
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def _norm(value: Any) -> str:
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if value is None:
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return ""
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return " ".join(str(value).strip().upper().split())
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