fix(understand): a network layer holds lines — valve, pump and annotation layers are no pipes
The field test ran the takeoffs on a real P&ID pair, kept outside the repository. It showed that the default network layers took every layer the vocabulary files under piping or electrical. That included the valve layers (KLEPPEN, Valve_*), the pump layers (a "product pumps" layer reads as product), and annotation layers such as pipe sizes, materials and valve numbers. Symbol outlines and leader lines became pipe runs. vocab.is_network_layer is now the one rule. A layer is a network layer when it is piping or electrical at 0.9, its name names no equipment (equipment_kind: valve, pump, tank, motor, panel, reducer), and it names no annotation (sizes, materials, numbers, hatching, or an annotation word). build_network's default layers, drawing_topology_check and the topo_* focuses all use it, so they agree on which lines are the network. Sixteen parametrized cases pin it, across symbol, annotation, pipe and cable layers. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FKFStjEFzpGyLq5bMpWxTd
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co-authored by
Claude Opus 5.5
parent
ba41428c88
commit
307ccc799f
@@ -34,12 +34,10 @@ from engineering.layers import PID_LAYERS
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from engineering.pid.lines import PID_LINE_LAYERS
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from engineering.plan_spec import Issue
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from engineering.understand.topology import (
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NETWORK_CONFIDENCE,
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NETWORK_DISCIPLINES,
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network_layers,
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topology_findings,
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)
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from engineering.understand.vocab import classify_layer
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from engineering.understand.vocab import is_network_layer
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if TYPE_CHECKING:
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from backends.base import AutoCADBackend
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@@ -66,13 +64,7 @@ SEMANTIC_LAYERS: frozenset[str] = frozenset(
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def _is_candidate(name: str) -> bool:
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if name in SEMANTIC_LAYERS:
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return False
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meaning = classify_layer(name)
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return (
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meaning.get("discipline") in NETWORK_DISCIPLINES
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and float(meaning.get("confidence") or 0.0) >= NETWORK_CONFIDENCE
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)
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return name not in SEMANTIC_LAYERS and is_network_layer(name)
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def focus_layers(snap) -> list[str]:
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@@ -72,7 +72,7 @@ from dataclasses import dataclass
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from engineering.understand.labels import parse_diameters, parse_tag, wiring_target
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from engineering.understand.snapshot import EntityRecord, Pt, Snapshot
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from engineering.understand.vocab import classify_layer, fold, supply_return
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from engineering.understand.vocab import classify_layer, fold, is_network_layer, supply_return
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__all__ = [
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"EQUIPMENT_SEARCH_SHARE",
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@@ -262,13 +262,10 @@ def _layer_names(snap: Snapshot) -> list[str]:
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def default_layers(snap: Snapshot) -> tuple[str, ...]:
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"""Every layer `classify_layer` files under piping or electrical with confidence >= 0.9."""
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chosen = []
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for name in _layer_names(snap):
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found = classify_layer(name)
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if found["discipline"] in NETWORK_DISCIPLINES and found["confidence"] >= NETWORK_CONFIDENCE:
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chosen.append(name)
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return tuple(chosen)
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"""Every layer of pipes or cables: `vocab.is_network_layer` - piping or electrical
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at confidence >= 0.9, and not a layer of valve, pump or tank symbols or of
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annotation (sizes, materials, numbers), whose lines are no pipe."""
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return tuple(name for name in _layer_names(snap) if is_network_layer(name))
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def label_search_default(snap: Snapshot, *, tol: float = 1.0) -> float:
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@@ -413,8 +410,9 @@ def _choose_layers(snap: Snapshot, layers) -> tuple[str, ...]:
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chosen = default_layers(snap)
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if not chosen:
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raise ValueError(
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"layers: no layer is classified piping or electrical with confidence >= 0.9; "
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f"name the layers to read. The drawing has: {', '.join(known)}"
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"layers: no layer is classified piping or electrical with confidence >= 0.9 "
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"(symbol and annotation layers left out); name the layers to read. The drawing "
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f"has: {', '.join(known)}"
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)
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return chosen
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names = [str(name) for name in layers]
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@@ -53,7 +53,7 @@ from collections.abc import Iterable
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from dataclasses import dataclass
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from engineering.understand.snapshot import EntityRecord, Pt, Snapshot
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from engineering.understand.vocab import classify_layer
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from engineering.understand.vocab import classify_layer, is_network_layer
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__all__ = [
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"DEFAULT_TOL",
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@@ -219,7 +219,7 @@ def network_layers(snap: Snapshot) -> list[dict]:
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for name in sorted(names):
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meaning = classify_layer(name)
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confidence = float(meaning.get("confidence") or 0.0)
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if meaning.get("discipline") in NETWORK_DISCIPLINES and confidence >= NETWORK_CONFIDENCE:
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if is_network_layer(name):
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rows.append(
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{
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"layer": name,
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@@ -32,6 +32,7 @@ __all__ = [
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"classify_layer",
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"equipment_kind",
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"fold",
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"is_network_layer",
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"room_label",
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"supply_return",
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]
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@@ -438,6 +439,43 @@ def room_label(text: str | None) -> dict | None:
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return None
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#: Words that make a piping or electrical layer hold annotation, not lines: pipe
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#: sizes, materials, valve or line numbers, hatching. Matched like every other
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#: keyword here (a word of five letters or more anywhere in the name).
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_NOT_A_LINE_WORDS = (
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("annotation", "diameter", "en"),
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("annotation", "sizes", "en"),
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("annotation", "size", "en"),
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("annotation", "material", "en"),
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("annotation", "number", "en"),
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("annotation", "nummer", "nl"),
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("annotation", "arcering", "nl"),
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("annotation", "hatch", "en"),
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)
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def is_network_layer(name: str | None) -> bool:
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"""A layer whose lines are pipes or cables.
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`classify_layer` files it under piping or electrical at 0.9, and its name
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says neither that it holds symbols - a valve, pump, tank, motor, panel or
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reducer (`equipment_kind`), whose outlines are no pipe - nor that it holds
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annotation: sizes, materials, numbers, hatching, or an annotation word.
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Field P&IDs keep valves and pumps on their own layers (``KLEPPEN``,
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``PRODUCT PUMPS``) that a service keyword alone would read as piping.
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"""
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meaning = classify_layer(name)
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if meaning["discipline"] not in ("piping", "electrical") or meaning["confidence"] < DIRECT:
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return False
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if equipment_kind(name) is not None:
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return False
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folded = fold(name)
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if _first(_NOT_A_LINE_WORDS, folded) is not None:
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return False
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annotation = [row for row in _DISCIPLINE_WORDS if row[0] == "annotation"]
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return _first(annotation, folded) is None
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def equipment_kind(block_name: str | None) -> dict | None:
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"""The kind of equipment a block name says it is: ``{"kind", "keyword", "language"}``.
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@@ -17,6 +17,7 @@ from engineering.understand.vocab import (
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classify_layer,
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equipment_kind,
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fold,
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is_network_layer,
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room_label,
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supply_return,
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)
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@@ -232,3 +233,31 @@ def test_block_names_say_their_kind(block, kind, language):
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def test_an_anonymous_block_has_no_kind():
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assert equipment_kind("*U12") is None
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assert equipment_kind(None) is None
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@pytest.mark.parametrize(
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("name", "network"),
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[
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("P_product piping", True),
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("P_cipsupplyline", True),
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("E_power", True),
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# symbols, not lines: the layer names the equipment drawn on it
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("KLEPPEN", False),
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("Valve_ball valves", False),
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("PRODUCT PUMPS", False),
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("CIP return pumps", False),
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("Storage tanks", False),
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("E_panel connections", False),
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# annotation on a piping layer: sizes, materials, numbers, hatching
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("P_pipe diameters", False),
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("PIPESIZES", False),
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("piping materials", False),
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("valve numbers", False),
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("PIPE TEXT", False),
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# not piping or electrical at all
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("WALLS", False),
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("0", False),
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],
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)
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def test_a_network_layer_holds_lines_not_symbols_or_annotation(name, network):
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assert is_network_layer(name) is network
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