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
This commit is contained in:
Umut CAN
2026-09-24 15:57:17 +03:00
co-authored by Claude Opus 5.5
parent ba41428c88
commit 307ccc799f
5 changed files with 79 additions and 22 deletions
+2 -10
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@@ -34,12 +34,10 @@ from engineering.layers import PID_LAYERS
from engineering.pid.lines import PID_LINE_LAYERS
from engineering.plan_spec import Issue
from engineering.understand.topology import (
NETWORK_CONFIDENCE,
NETWORK_DISCIPLINES,
network_layers,
topology_findings,
)
from engineering.understand.vocab import classify_layer
from engineering.understand.vocab import is_network_layer
if TYPE_CHECKING:
from backends.base import AutoCADBackend
@@ -66,13 +64,7 @@ SEMANTIC_LAYERS: frozenset[str] = frozenset(
def _is_candidate(name: str) -> bool:
if name in SEMANTIC_LAYERS:
return False
meaning = classify_layer(name)
return (
meaning.get("discipline") in NETWORK_DISCIPLINES
and float(meaning.get("confidence") or 0.0) >= NETWORK_CONFIDENCE
)
return name not in SEMANTIC_LAYERS and is_network_layer(name)
def focus_layers(snap) -> list[str]:
+8 -10
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@@ -72,7 +72,7 @@ from dataclasses import dataclass
from engineering.understand.labels import parse_diameters, parse_tag, wiring_target
from engineering.understand.snapshot import EntityRecord, Pt, Snapshot
from engineering.understand.vocab import classify_layer, fold, supply_return
from engineering.understand.vocab import classify_layer, fold, is_network_layer, supply_return
__all__ = [
"EQUIPMENT_SEARCH_SHARE",
@@ -262,13 +262,10 @@ def _layer_names(snap: Snapshot) -> list[str]:
def default_layers(snap: Snapshot) -> tuple[str, ...]:
"""Every layer `classify_layer` files under piping or electrical with confidence >= 0.9."""
chosen = []
for name in _layer_names(snap):
found = classify_layer(name)
if found["discipline"] in NETWORK_DISCIPLINES and found["confidence"] >= NETWORK_CONFIDENCE:
chosen.append(name)
return tuple(chosen)
"""Every layer of pipes or cables: `vocab.is_network_layer` - piping or electrical
at confidence >= 0.9, and not a layer of valve, pump or tank symbols or of
annotation (sizes, materials, numbers), whose lines are no pipe."""
return tuple(name for name in _layer_names(snap) if is_network_layer(name))
def label_search_default(snap: Snapshot, *, tol: float = 1.0) -> float:
@@ -413,8 +410,9 @@ def _choose_layers(snap: Snapshot, layers) -> tuple[str, ...]:
chosen = default_layers(snap)
if not chosen:
raise ValueError(
"layers: no layer is classified piping or electrical with confidence >= 0.9; "
f"name the layers to read. The drawing has: {', '.join(known)}"
"layers: no layer is classified piping or electrical with confidence >= 0.9 "
"(symbol and annotation layers left out); name the layers to read. The drawing "
f"has: {', '.join(known)}"
)
return chosen
names = [str(name) for name in layers]
+2 -2
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@@ -53,7 +53,7 @@ from collections.abc import Iterable
from dataclasses import dataclass
from engineering.understand.snapshot import EntityRecord, Pt, Snapshot
from engineering.understand.vocab import classify_layer
from engineering.understand.vocab import classify_layer, is_network_layer
__all__ = [
"DEFAULT_TOL",
@@ -219,7 +219,7 @@ def network_layers(snap: Snapshot) -> list[dict]:
for name in sorted(names):
meaning = classify_layer(name)
confidence = float(meaning.get("confidence") or 0.0)
if meaning.get("discipline") in NETWORK_DISCIPLINES and confidence >= NETWORK_CONFIDENCE:
if is_network_layer(name):
rows.append(
{
"layer": name,
+38
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@@ -32,6 +32,7 @@ __all__ = [
"classify_layer",
"equipment_kind",
"fold",
"is_network_layer",
"room_label",
"supply_return",
]
@@ -438,6 +439,43 @@ def room_label(text: str | None) -> dict | None:
return None
#: Words that make a piping or electrical layer hold annotation, not lines: pipe
#: sizes, materials, valve or line numbers, hatching. Matched like every other
#: keyword here (a word of five letters or more anywhere in the name).
_NOT_A_LINE_WORDS = (
("annotation", "diameter", "en"),
("annotation", "sizes", "en"),
("annotation", "size", "en"),
("annotation", "material", "en"),
("annotation", "number", "en"),
("annotation", "nummer", "nl"),
("annotation", "arcering", "nl"),
("annotation", "hatch", "en"),
)
def is_network_layer(name: str | None) -> bool:
"""A layer whose lines are pipes or cables.
`classify_layer` files it under piping or electrical at 0.9, and its name
says neither that it holds symbols - a valve, pump, tank, motor, panel or
reducer (`equipment_kind`), whose outlines are no pipe - nor that it holds
annotation: sizes, materials, numbers, hatching, or an annotation word.
Field P&IDs keep valves and pumps on their own layers (``KLEPPEN``,
``PRODUCT PUMPS``) that a service keyword alone would read as piping.
"""
meaning = classify_layer(name)
if meaning["discipline"] not in ("piping", "electrical") or meaning["confidence"] < DIRECT:
return False
if equipment_kind(name) is not None:
return False
folded = fold(name)
if _first(_NOT_A_LINE_WORDS, folded) is not None:
return False
annotation = [row for row in _DISCIPLINE_WORDS if row[0] == "annotation"]
return _first(annotation, folded) is None
def equipment_kind(block_name: str | None) -> dict | None:
"""The kind of equipment a block name says it is: ``{"kind", "keyword", "language"}``.
+29
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@@ -17,6 +17,7 @@ from engineering.understand.vocab import (
classify_layer,
equipment_kind,
fold,
is_network_layer,
room_label,
supply_return,
)
@@ -232,3 +233,31 @@ def test_block_names_say_their_kind(block, kind, language):
def test_an_anonymous_block_has_no_kind():
assert equipment_kind("*U12") is None
assert equipment_kind(None) is None
@pytest.mark.parametrize(
("name", "network"),
[
("P_product piping", True),
("P_cipsupplyline", True),
("E_power", True),
# symbols, not lines: the layer names the equipment drawn on it
("KLEPPEN", False),
("Valve_ball valves", False),
("PRODUCT PUMPS", False),
("CIP return pumps", False),
("Storage tanks", False),
("E_panel connections", False),
# annotation on a piping layer: sizes, materials, numbers, hatching
("P_pipe diameters", False),
("PIPESIZES", False),
("piping materials", False),
("valve numbers", False),
("PIPE TEXT", False),
# not piping or electrical at all
("WALLS", False),
("0", False),
],
)
def test_a_network_layer_holds_lines_not_symbols_or_annotation(name, network):
assert is_network_layer(name) is network