Umut CANandClaude Opus 5.5
e640def4ff
route.py: Manhattan distance, the rectilinear minimum spanning tree (Prim over |dx| + |dy|, exact on the points given) and the x-then-y route. pipe_rows turns the P&ID's runs into rows by room x service x diameter. length_source auto measures on the P&ID only when the scale check calls it to scale; otherwise each run is the RMST of its tags' layout positions plus vertical_allowance per connection, with the drawn length kept beside it as schematic_m. length_source=pid on a schematic P&ID is refused with the statistics unless force=True. Status A / B / C; a C run goes to control with its schematic length, counted and flagged. Routed lengths are shared among the layout rooms their route crosses (track F's face finder); the allowance is its own column. Lengths are metres from the unit the geometry implies: a layout declaring inches over millimetres is read in mm and warned about, never multiplied by 25.4. The takeoff carries narrow stand-ins for the unit inference, the plan-copy clusters and the scale check (group U's modules are on another branch); a scale result passed in is used first. Tags written twice in the chosen cluster are ambiguous, never picked. Beyond the plan: the scale stand-in calls a non-positive median ratio insufficient (as group U's scale_check does) instead of to_scale with a factor of 0; an INSUNITS code the reader does not convert is named in the unit warning instead of being called "no unit"; wall layers are classified once per layer, not once per record. Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01FKFStjEFzpGyLq5bMpWxTd
835 lines
33 KiB
Python
835 lines
33 KiB
Python
"""Pipe takeoff rows: topology from the P&ID, lengths from the layout (spec §8).
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A P&ID says which equipment a line joins, what it carries and how big it is;
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it does not say how long the pipe is unless the scale check calls it to scale.
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So each run found by `engineering.understand.network` is measured one of two
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ways, and the rows say which:
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* **layout** - the positions of the tags the run joins, on the layout, joined
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by the rectilinear minimum spanning tree (`route.rmst`), plus
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`vertical_allowance` metres per tree edge. The P&ID's drawn length is kept
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beside it as `schematic_m`, a comparison column, never the answer.
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* **pid** - the drawn length on the P&ID: divided by the scale factor when the
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scale check calls it `to_scale`, taken in the P&ID's own unit when there is
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no layout (every row then carries `scale_verified: false`), and on a
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schematic P&ID only with `force=True`.
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This module also carries the takeoff's own stand-ins for three readers another
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branch of track H owns - the unit inference, the plan-copy clusters and the
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scale check (group U's `units`, `clusters` and `scale`). They follow the
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spec's rules (§5, §6) in the narrow form a takeoff needs; `pipe_rows` uses a
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`scale` result it is given before its own, so the full scale check replaces
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the stand-in wherever a caller passes it.
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Every length leaves this module in metres, converted from the unit the
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geometry implies - never blindly from `INSUNITS`. Nothing here touches a
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drawing.
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"""
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from __future__ import annotations
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import math
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import statistics
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from collections.abc import Iterable
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from engineering.arch.faces import DEFAULT_TOL, Face, face_containing, planar_faces
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from engineering.understand.network import MODEL, TEXT_TYPES, tag_occurrences
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from engineering.understand.route import rmst, route_legs
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from engineering.understand.snapshot import Pt, Snapshot
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from engineering.understand.vocab import SERVICES, classify_layer, room_label
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__all__ = [
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"DEFAULT_SERVICES",
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"LENGTH_SOURCES",
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"UNIT_METRES",
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"apportion",
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"check_allowance",
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"check_pipe_options",
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"layout_tags",
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"pipe_rows",
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"room_at",
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"room_regions",
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"scale_stand_in",
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"unit_of",
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]
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#: The user's own takeoff scope; utilities only on request (spec §8).
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DEFAULT_SERVICES = ("product", "cip_supply", "cip_return")
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LENGTH_SOURCES = ("auto", "pid", "layout")
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UNASSIGNED = "unassigned"
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#: INSUNITS codes this module reads, and metres per unit of each.
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INSUNITS_NAMES = {1: "in", 2: "ft", 4: "mm", 5: "cm", 6: "m"}
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UNIT_METRES = {"mm": 0.001, "cm": 0.01, "m": 1.0, "in": 0.0254, "ft": 0.3048}
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#: This module's heuristic, not a standard: the model-space text of any plant
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#: drawing - a P&ID sheet at 1:1 or a plan at 1:200 - stands between 0.5 mm and
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#: 1 m tall, and the drawing spans between 0.1 m and 5 km. A declared unit that
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#: puts the geometry outside either band is not believed.
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TEXT_BAND_M = (0.0005, 1.0)
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SPAN_BAND_M = (0.1, 5000.0)
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#: Among the units that fit both bands, the one nearest (in log) a 50 m plant
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#: with 0.25 m text is chosen.
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TYPICAL_SPAN_M = 50.0
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TYPICAL_TEXT_M = 0.25
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#: Plan copies are told apart when the gap between them exceeds 2 % of the
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#: drawing's robust span (5th-95th percentile).
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CLUSTER_GAP_SHARE = 0.02
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#: Spec §6: pairs of matched tags at least 2 m apart, a ±10 % band, 80 % / 50 %.
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MIN_PAIR_MM = 2000.0
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SCALE_BAND = 0.10
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TO_SCALE_SHARE = 0.80
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SCHEMATIC_SHARE = 0.50
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#: Fewer matched tags than this and the verdict is `insufficient`.
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MIN_TAGS = 3
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#: A wall layer is one `classify_layer` files under architecture this surely.
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WALL_CONFIDENCE = 0.9
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# -- options -----------------------------------------------------------------
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def _number(value, name: str) -> float:
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try:
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number = float(value)
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except (TypeError, ValueError):
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raise ValueError(f"{name}: expected a number, got {value!r}") from None
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if not math.isfinite(number):
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raise ValueError(f"{name}: must be finite, got {value!r}")
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return number
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def check_allowance(allowance) -> float:
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number = _number(allowance, "allowance")
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if not 0.0 <= number <= 1.0:
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raise ValueError(f"allowance: must lie between 0 and 1 (0.20 is 20 %), got {number:g}")
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return number
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def check_pipe_options(*, services, allowance, vertical_allowance, length_source) -> dict:
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"""Refuse bad takeoff options by name, before a drawing is read."""
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chosen = DEFAULT_SERVICES if services is None else tuple(dict.fromkeys(services))
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if not chosen:
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raise ValueError("services: an empty list takes nothing off; omit it for the default")
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unknown = [s for s in chosen if s not in SERVICES]
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if unknown:
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raise ValueError(
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f"services: {', '.join(map(str, unknown))} unknown; choose from {', '.join(SERVICES)}"
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)
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vertical = _number(vertical_allowance, "vertical_allowance")
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if vertical < 0.0:
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raise ValueError(f"vertical_allowance: must be zero or more metres, got {vertical:g}")
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if length_source not in LENGTH_SOURCES:
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raise ValueError(
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f"length_source: {length_source!r} unknown; choose from {', '.join(LENGTH_SOURCES)}"
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)
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return {
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"services": chosen,
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"allowance": check_allowance(allowance),
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"vertical_allowance": vertical,
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"length_source": length_source,
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}
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# -- units -------------------------------------------------------------------
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def _model_points(snap: Snapshot) -> list[Pt]:
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out: list[Pt] = []
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for rec in snap.records:
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if rec.space != MODEL:
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continue
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out.extend(rec.points)
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if rec.bbox is not None:
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out.extend(((rec.bbox[0], rec.bbox[1]), (rec.bbox[2], rec.bbox[3])))
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return out
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def _robust_box(points: list[Pt]) -> tuple[float, float, float, float] | None:
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"""The 5th-95th percentile box of the points: one stray entity does not stretch it."""
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if len(points) < 2:
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return None
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qx = statistics.quantiles([p[0] for p in points], n=20, method="inclusive")
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qy = statistics.quantiles([p[1] for p in points], n=20, method="inclusive")
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return (qx[0], qy[0], qx[-1], qy[-1])
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def _text_heights(snap: Snapshot) -> list[float]:
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return [
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rec.height
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for rec in snap.records
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if rec.space == MODEL and rec.type in TEXT_TYPES and rec.height and rec.height > 0.0
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]
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def unit_of(snap: Snapshot) -> dict:
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"""The unit a drawing's geometry implies, against the one INSUNITS declares.
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``{"declared", "inferred", "m_per_unit", "warning", "evidence"}``. The
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declared unit (mm when INSUNITS declares none) stands when it puts the
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median model-space text height between 0.5 mm and 1 m and the robust span
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(5th-95th percentile) between 0.1 m and 5 km - this module's heuristic.
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Otherwise the unit of mm / cm / m / in / ft that fits both bands and lies
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nearest a 50 m drawing with 0.25 m text is taken. A disagreement is a
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warning with the numbers - never a silent correction.
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"""
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declared = INSUNITS_NAMES.get(snap.insunits)
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box = _robust_box(_model_points(snap))
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span = max(box[2] - box[0], box[3] - box[1]) if box else 0.0
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heights = _text_heights(snap)
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height = statistics.median(heights) if heights else 0.0
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def fits(unit: str) -> bool:
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m = UNIT_METRES[unit]
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return (span <= 0.0 or SPAN_BAND_M[0] <= span * m <= SPAN_BAND_M[1]) and (
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height <= 0.0 or TEXT_BAND_M[0] <= height * m <= TEXT_BAND_M[1]
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)
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def score(unit: str) -> float:
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m = UNIT_METRES[unit]
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total = abs(math.log(span * m / TYPICAL_SPAN_M)) if span > 0.0 else 0.0
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return total + (abs(math.log(height * m / TYPICAL_TEXT_M)) if height > 0.0 else 0.0)
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base = declared or "mm"
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inferred = base
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if not fits(base):
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candidates = [unit for unit in UNIT_METRES if fits(unit)]
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if candidates:
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inferred = min(candidates, key=lambda unit: (score(unit), unit))
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if declared is not None:
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said = declared
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elif snap.insunits:
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said = f"code {snap.insunits} (a unit this reader does not convert)"
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else:
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said = "no unit"
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warning = None
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if inferred != declared:
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warning = (
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f"{snap.source}: INSUNITS declares {said} but the geometry reads "
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f"as {inferred} (median text height {height:g}, robust span {span:g} drawing "
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f"units); lengths are taken in {inferred}"
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)
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return {
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"declared": declared,
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"inferred": inferred,
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"m_per_unit": UNIT_METRES[inferred],
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"warning": warning,
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"evidence": {"robust_span": span, "median_text_height": height},
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}
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# -- plan copies and tag positions ---------------------------------------------
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def _mark_segment(cells: set, a: Pt, b: Pt, gap: float, limit: float) -> None:
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length = math.dist(a, b)
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if length > limit:
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steps = 0 # a stray line across the world marks only its ends
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else:
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steps = int(length / (gap / 2.0))
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for i in range(steps + 1):
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t = i / steps if steps else 0.0
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x, y = a[0] + (b[0] - a[0]) * t, a[1] + (b[1] - a[1]) * t
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cells.add((math.floor(x / gap), math.floor(y / gap)))
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cells.add((math.floor(b[0] / gap), math.floor(b[1] / gap)))
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def _clusters(snap: Snapshot) -> tuple[float, list[tuple[float, float, float, float]]]:
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"""(cell size, cluster boxes): separate bodies of model-space content.
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Every record's geometry marks the cells of a grid whose cell is 2 % of the
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robust span; 8-connected cells form bodies; bodies whose boxes overlap are
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one cluster (a label in the middle of a room belongs to the plan around it).
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"""
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points = _model_points(snap)
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box = _robust_box(points)
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if box is None:
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return 1.0, []
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span = max(box[2] - box[0], box[3] - box[1], 1.0)
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gap = CLUSTER_GAP_SHARE * span
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limit = 10.0 * span
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cells: set[tuple[int, int]] = set()
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for rec in snap.records:
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if rec.space != MODEL:
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continue
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pts = list(rec.points)
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if rec.type in ("LINE", "LWPOLYLINE", "POLYLINE") and len(pts) >= 2:
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ring = pts + ([pts[0]] if rec.closed else [])
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for a, b in zip(ring, ring[1:], strict=False):
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_mark_segment(cells, a, b, gap, limit)
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elif rec.bbox is not None:
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x0, y0, x1, y1 = rec.bbox
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corners = [(x0, y0), (x1, y0), (x1, y1), (x0, y1), (x0, y0)]
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for a, b in zip(corners, corners[1:], strict=False):
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_mark_segment(cells, a, b, gap, limit)
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for p in pts[:1]:
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cells.add((math.floor(p[0] / gap), math.floor(p[1] / gap)))
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seen: set[tuple[int, int]] = set()
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bodies: list[list[float]] = []
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for start in sorted(cells):
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if start in seen:
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continue
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seen.add(start)
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stack, body = [start], [start[0], start[1], start[0], start[1]]
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while stack:
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cx, cy = stack.pop()
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body = [min(body[0], cx), min(body[1], cy), max(body[2], cx), max(body[3], cy)]
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for dx in (-1, 0, 1):
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for dy in (-1, 0, 1):
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n = (cx + dx, cy + dy)
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if n in cells and n not in seen:
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seen.add(n)
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stack.append(n)
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bodies.append(body)
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merged = True
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while merged:
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merged = False
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for i in range(len(bodies)):
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for j in range(i + 1, len(bodies)):
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a, b = bodies[i], bodies[j]
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if a[0] <= b[2] and b[0] <= a[2] and a[1] <= b[3] and b[1] <= a[3]:
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bodies[i] = [min(a[0], b[0]), min(a[1], b[1]), max(a[2], b[2]), max(a[3], b[3])]
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del bodies[j]
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merged = True
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break
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if merged:
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break
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boxes = [(b[0] * gap, b[1] * gap, (b[2] + 1) * gap, (b[3] + 1) * gap) for b in sorted(bodies)]
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return gap, boxes
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def layout_tags(snap: Snapshot, wanted: Iterable[str] = ()) -> dict:
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"""Tag positions on a drawing, using only tags that are unique where they are read.
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When no tag is written twice the whole model space is read. Otherwise the
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drawing is split into clusters (plan copies, sheets, a far outlier) and the
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cluster holding the most `wanted` tags is chosen (ties: the one furthest
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left, then lowest); a tag written more than once inside it is `ambiguous`,
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never picked arbitrarily. ``{"positions": {tag: Pt}, "ambiguous": [...],
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"cluster": box | None, "clusters": n}``.
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"""
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occurrences = tag_occurrences(snap)
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wanted = set(wanted)
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if all(len(places) == 1 for places in occurrences.values()):
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return {
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"positions": {tag: places[0]["at"] for tag, places in occurrences.items()},
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"ambiguous": [],
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"cluster": None,
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"clusters": 1,
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}
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_gap, boxes = _clusters(snap)
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def inside(p: Pt, box) -> bool:
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return box[0] <= p[0] <= box[2] and box[1] <= p[1] <= box[3]
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def weight(box) -> tuple:
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count = sum(
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1
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for tag, places in occurrences.items()
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if tag in wanted and any(inside(place["at"], box) for place in places)
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)
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return (-count, box[0], box[1])
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chosen = min(boxes, key=weight) if boxes else None
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positions, ambiguous = {}, []
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for tag, places in sorted(occurrences.items()):
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here = [place for place in places if chosen is None or inside(place["at"], chosen)]
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if len(here) == 1:
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positions[tag] = here[0]["at"]
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elif len(here) > 1:
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ambiguous.append(tag)
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return {
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"positions": positions,
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"ambiguous": ambiguous,
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"cluster": chosen,
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"clusters": len(boxes),
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}
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def scale_stand_in(
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pid: Snapshot, layout: Snapshot, *, pid_tags=None, layout_found=None, layout_unit=None
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) -> dict:
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"""Spec §6 on the tags unique in both drawings - the takeoff's stand-in for scale_check.
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The result has `scale_check`'s shape (group U, Task 4): for every pair of
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matched tags at least 2 m apart on the layout, ``ratio`` is their P&ID
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distance over their layout distance, both in millimetres of each drawing's
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inferred unit; ``median``, ``q1``, ``q3``, ``iqr`` and ``within_10pct`` (the
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share within ±10 % of the median) describe them. Verdict ``to_scale`` at
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>= 80 %, ``schematic`` at <= 50 %, ``partly`` between, ``insufficient``
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with fewer than three matched tags or no pair; ``factor`` is the median
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only when ``to_scale``; a median that is not positive (every P&ID tag at
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one point) is ``insufficient``. There are no per-room ``groups`` here. Tag labels
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are not equipment centres: the band and the 2 m floor absorb that.
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"""
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pid_occ = pid_tags if pid_tags is not None else tag_occurrences(pid)
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pid_positions = {tag: places[0]["at"] for tag, places in pid_occ.items() if len(places) == 1}
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found = layout_found if layout_found is not None else layout_tags(layout, pid_positions)
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unit = layout_unit if layout_unit is not None else unit_of(layout)
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mm_layout = unit["m_per_unit"] * 1000.0
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mm_pid = unit_of(pid)["m_per_unit"] * 1000.0
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tags = [tag for tag in sorted(pid_positions) if tag in found["positions"]]
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matched = {tag: (pid_positions[tag], found["positions"][tag]) for tag in tags}
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ambiguous = sorted(
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{tag for tag, places in pid_occ.items() if len(places) > 1} | set(found["ambiguous"])
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)
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pairs = []
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for i, a in enumerate(tags):
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for b in tags[i + 1 :]:
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d_layout = math.dist(matched[a][1], matched[b][1]) * mm_layout
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if d_layout >= MIN_PAIR_MM:
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d_pid = math.dist(matched[a][0], matched[b][0]) * mm_pid
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pairs.append(
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{"tags": [a, b], "a_mm": d_pid, "b_mm": d_layout, "ratio": d_pid / d_layout}
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)
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out = {
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"verdict": "insufficient",
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"factor": None,
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"median": None,
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"q1": None,
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"q3": None,
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"iqr": None,
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"within_10pct": None,
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"pair_count": len(pairs),
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"pairs": pairs,
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"matched": [
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{"tag": tag, "a": list(matched[tag][0]), "b": list(matched[tag][1])} for tag in tags
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],
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"ambiguous": ambiguous,
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"groups": [],
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"notes": ["takeoff stand-in for scale_check (spec §6): no per-room groups"],
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}
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ratios = [pair["ratio"] for pair in pairs]
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if len(tags) < MIN_TAGS or not ratios:
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return out
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median = statistics.median(ratios)
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if median <= 0.0:
|
|
return out # every P&ID tag at one point: no factor to divide by (as scale_check)
|
|
q1, q3 = (
|
|
statistics.quantiles(ratios, n=4, method="inclusive")[::2]
|
|
if len(ratios) >= 2
|
|
else (ratios[0], ratios[0])
|
|
)
|
|
within = sum(1 for r in ratios if abs(r - median) <= SCALE_BAND * median) / len(ratios)
|
|
if within >= TO_SCALE_SHARE:
|
|
verdict = "to_scale"
|
|
elif within <= SCHEMATIC_SHARE:
|
|
verdict = "schematic"
|
|
else:
|
|
verdict = "partly"
|
|
out.update(
|
|
verdict=verdict,
|
|
factor=median if verdict == "to_scale" else None,
|
|
median=median,
|
|
q1=q1,
|
|
q3=q3,
|
|
iqr=q3 - q1,
|
|
within_10pct=within,
|
|
)
|
|
return out
|
|
|
|
|
|
# -- rooms -------------------------------------------------------------------
|
|
|
|
|
|
def room_regions(snap: Snapshot, cluster=None) -> dict:
|
|
"""Room polygons and room labels of a drawing.
|
|
|
|
Labels are texts `room_label` reads; polygons are the faces of the wall
|
|
layers (`classify_layer` architecture, confidence >= 0.9, straight
|
|
segments) that hold a label, found by track F's planar-face finder. Inside
|
|
`cluster` only, when one is given. ``{"faces": [(key, Face)], "labels":
|
|
[(key, Pt)]}``; the key is the room number, else its name.
|
|
"""
|
|
|
|
def keep(p: Pt) -> bool:
|
|
return cluster is None or (
|
|
cluster[0] <= p[0] <= cluster[2] and cluster[1] <= p[1] <= cluster[3]
|
|
)
|
|
|
|
labels = []
|
|
for rec in snap.records:
|
|
if rec.space != MODEL or rec.type not in TEXT_TYPES or not rec.text or not rec.points:
|
|
continue
|
|
found = room_label(rec.text)
|
|
if found and keep(rec.points[0]):
|
|
key = found.get("number") or found.get("name") or rec.text
|
|
labels.append((str(key), rec.points[0]))
|
|
walls = set()
|
|
for layer in {rec.layer for rec in snap.records}: # classify each layer once
|
|
info = classify_layer(layer)
|
|
if info["discipline"] == "architecture" and info["confidence"] >= WALL_CONFIDENCE:
|
|
walls.add(layer)
|
|
segments = []
|
|
for rec in snap.records:
|
|
if rec.space != MODEL or rec.layer not in walls:
|
|
continue
|
|
if rec.type not in ("LINE", "LWPOLYLINE", "POLYLINE") or len(rec.points) < 2:
|
|
continue
|
|
pts = list(rec.points) + ([rec.points[0]] if rec.closed else [])
|
|
bulges = list(rec.bulges) + [0.0] * len(pts)
|
|
for i, (a, b) in enumerate(zip(pts, pts[1:], strict=False)):
|
|
if bulges[i] == 0.0 and keep(a) and keep(b):
|
|
segments.append((a, b))
|
|
faces = planar_faces(segments, tol=DEFAULT_TOL) if segments else ()
|
|
rooms: list[tuple[str, Face]] = []
|
|
taken: set[int] = set()
|
|
for key, at in sorted(labels):
|
|
face = face_containing(faces, at)
|
|
if face is not None and id(face) not in taken:
|
|
taken.add(id(face))
|
|
rooms.append((key, face))
|
|
return {"faces": rooms, "labels": sorted(labels)}
|
|
|
|
|
|
def _rooms_mode(regions: dict) -> str:
|
|
if regions["faces"]:
|
|
return "polygons"
|
|
return "nearest_label" if regions["labels"] else "none"
|
|
|
|
|
|
def room_at(regions: dict, p: Pt) -> str:
|
|
"""The room a point stands in; else the nearest room label; else ''."""
|
|
face = face_containing([face for _key, face in regions["faces"]], p)
|
|
if face is not None:
|
|
return next(key for key, f in regions["faces"] if f is face)
|
|
if regions["labels"]:
|
|
return min(regions["labels"], key=lambda item: (math.dist(item[1], p), item[0]))[0]
|
|
return ""
|
|
|
|
|
|
def apportion(legs, regions: dict) -> dict[str, float]:
|
|
"""Length of each orthogonal leg inside each room polygon (drawing units).
|
|
|
|
A leg is cut at every crossing with a room outline or hole; each piece goes
|
|
to the room its midpoint stands in, or to '' outside every room. Nothing is
|
|
counted twice: the pieces add up to the leg.
|
|
"""
|
|
faces = [face for _key, face in regions["faces"]]
|
|
key_of = {id(face): key for key, face in regions["faces"]}
|
|
out: dict[str, float] = {}
|
|
for a, b in legs:
|
|
length = math.dist(a, b)
|
|
if length == 0.0:
|
|
continue
|
|
cuts = {0.0, 1.0}
|
|
for face in faces:
|
|
for ring in (face.loop, *face.holes):
|
|
for i in range(len(ring)):
|
|
t = _cut(a, b, ring[i], ring[(i + 1) % len(ring)])
|
|
if t is not None:
|
|
cuts.add(t)
|
|
ts = sorted(cuts)
|
|
for t0, t1 in zip(ts, ts[1:], strict=False):
|
|
if t1 - t0 <= 0.0:
|
|
continue
|
|
tm = (t0 + t1) / 2.0
|
|
mid = (a[0] + (b[0] - a[0]) * tm, a[1] + (b[1] - a[1]) * tm)
|
|
face = face_containing(faces, mid)
|
|
key = key_of[id(face)] if face is not None else ""
|
|
out[key] = out.get(key, 0.0) + (t1 - t0) * length
|
|
return out
|
|
|
|
|
|
def _cut(a: Pt, b: Pt, c: Pt, d: Pt) -> float | None:
|
|
"""Parameter along a->b where it crosses segment c-d, or None."""
|
|
rx, ry = b[0] - a[0], b[1] - a[1]
|
|
sx, sy = d[0] - c[0], d[1] - c[1]
|
|
denom = rx * sy - ry * sx
|
|
if denom == 0.0:
|
|
return None
|
|
qx, qy = c[0] - a[0], c[1] - a[1]
|
|
t = (qx * sy - qy * sx) / denom
|
|
u = (qx * ry - qy * rx) / denom
|
|
if 0.0 < t < 1.0 and 0.0 <= u <= 1.0:
|
|
return t
|
|
return None
|
|
|
|
|
|
# -- pipe rows ---------------------------------------------------------------
|
|
|
|
|
|
def _choose_source(requested: str, layout, scale: dict, force: bool) -> tuple[str, str]:
|
|
verdict = scale.get("verdict")
|
|
if requested == "layout":
|
|
if layout is None:
|
|
raise ValueError("length_source='layout' needs a layout drawing; none was given")
|
|
return "layout", "requested"
|
|
if requested == "pid":
|
|
if layout is not None and verdict == "schematic" and not force:
|
|
raise ValueError(
|
|
"length_source='pid': the scale check calls this P&ID schematic - "
|
|
f"{scale['within_10pct']:.0%} of {scale['pair_count']} tag pairs lie within "
|
|
f"±10 % of the median ratio {scale['median']:.6g} (IQR {scale['iqr']:.6g}); "
|
|
"a length measured on it is drawn line, not pipe. Pass force=True to measure "
|
|
"on it anyway, or use length_source='layout'."
|
|
)
|
|
return "pid", "forced" if layout is not None and verdict == "schematic" else "requested"
|
|
if layout is None:
|
|
return "pid", "no_layout"
|
|
if verdict == "to_scale":
|
|
return "pid", "auto_to_scale"
|
|
return "layout", f"auto_{verdict}"
|
|
|
|
|
|
def pipe_rows(
|
|
network,
|
|
pid: Snapshot,
|
|
layout: Snapshot | None,
|
|
*,
|
|
scale=None,
|
|
services=DEFAULT_SERVICES,
|
|
allowance=0.20,
|
|
vertical_allowance=0.0,
|
|
length_source="auto",
|
|
force=False,
|
|
) -> dict:
|
|
"""Takeoff rows by room x service x diameter, with the runs, checks and method behind them.
|
|
|
|
`network` is `build_network(pid)`'s result. `scale` is a scale-check
|
|
result (`scale_check`'s shape); omitted, the stand-in runs when a layout
|
|
is given. Refused by name before anything is measured: an unknown service
|
|
or length source, an allowance outside 0-1, a negative vertical
|
|
allowance, `length_source='layout'` without a layout, and
|
|
`length_source='pid'` on a P&ID the scale check calls schematic unless
|
|
`force=True` (the refusal quotes the statistics).
|
|
|
|
Status per run: **A** every end on a tag placed on the layout and every
|
|
piece's diameter read directly; **B** a diameter carried by continuity or
|
|
unassigned; **C** not routable - an end on no equipment, fewer than two
|
|
tags, a tag missing from (or written twice on) the layout. A C run goes to
|
|
`control` with its schematic length only, is counted in the totals and is
|
|
flagged. A run holding several diameters shares its length among them in
|
|
proportion to their drawn length on the P&ID.
|
|
"""
|
|
options = check_pipe_options(
|
|
services=services,
|
|
allowance=allowance,
|
|
vertical_allowance=vertical_allowance,
|
|
length_source=length_source,
|
|
)
|
|
allowance = options["allowance"]
|
|
vertical = options["vertical_allowance"]
|
|
pid_unit = unit_of(pid)
|
|
layout_unit = unit_of(layout) if layout is not None else None
|
|
wanted = {tag for run in network["runs"] for tag in run.tags}
|
|
found = layout_tags(layout, wanted) if layout is not None else None
|
|
if scale is None:
|
|
scale = (
|
|
scale_stand_in(pid, layout, layout_found=found, layout_unit=layout_unit)
|
|
if layout is not None
|
|
else {"verdict": "not_checked", "pair_count": 0, "matched": [], "ambiguous": []}
|
|
)
|
|
source, reason = _choose_source(length_source, layout, scale, bool(force))
|
|
scale_verified = source == "layout" or scale.get("verdict") == "to_scale"
|
|
positions = found["positions"] if found else {}
|
|
ambiguous = set(found["ambiguous"]) if found else set()
|
|
regions = (
|
|
room_regions(layout, found["cluster"])
|
|
if found is not None and source == "layout"
|
|
else room_regions(pid)
|
|
)
|
|
m_pid = pid_unit["m_per_unit"]
|
|
m_layout = layout_unit["m_per_unit"] if layout_unit else None
|
|
|
|
rows: dict[tuple[str, str, str], dict] = {}
|
|
runs_out, control, excluded = [], [], {}
|
|
for run in network["runs"]:
|
|
if run.service not in options["services"]:
|
|
excluded[run.service] = excluded.get(run.service, 0) + 1
|
|
continue
|
|
ends = network["attachments"].get(run.id, [])
|
|
drawn = sum(edge["length"] for edge in run.edges)
|
|
schematic_m = drawn * m_pid
|
|
parts: dict[str, dict] = {}
|
|
for edge in run.edges:
|
|
part = parts.setdefault(
|
|
edge["diameter"] or UNASSIGNED,
|
|
{"drawn": 0.0, "direct": 0.0, "continuity": 0.0, "unassigned": 0.0},
|
|
)
|
|
part["drawn"] += edge["length"]
|
|
part[edge["diameter_source"]] += edge["length"]
|
|
why = None
|
|
if any(end["tag"] is None for end in ends) or not ends:
|
|
why = "end_not_on_equipment"
|
|
elif len(run.tags) < 2:
|
|
why = "single_tag"
|
|
elif source == "layout":
|
|
missing = [tag for tag in run.tags if tag not in positions]
|
|
if missing:
|
|
why = (
|
|
"tag_ambiguous" if any(t in ambiguous for t in missing) else "tag_not_on_layout"
|
|
)
|
|
detail = {
|
|
"id": run.id,
|
|
"service": run.service,
|
|
"tags": list(run.tags),
|
|
"diameters": {d: p["drawn"] * m_pid for d, p in sorted(parts.items())},
|
|
"schematic_m": schematic_m,
|
|
"layout_m": None,
|
|
"vertical_m": 0.0,
|
|
"length_m": None,
|
|
"rooms": {},
|
|
"status": "C",
|
|
"reason": why,
|
|
}
|
|
runs_out.append(detail)
|
|
for diameter, part in sorted(parts.items()):
|
|
if diameter == UNASSIGNED:
|
|
control.append(
|
|
{
|
|
"run": run.id,
|
|
"kind": "unassigned_diameter",
|
|
"service": run.service,
|
|
"tags": list(run.tags),
|
|
"schematic_m": part["drawn"] * m_pid,
|
|
"reason": "no_diameter_label",
|
|
}
|
|
)
|
|
if why is not None:
|
|
control.append(
|
|
{
|
|
"run": run.id,
|
|
"kind": "unroutable",
|
|
"service": run.service,
|
|
"tags": list(run.tags),
|
|
"schematic_m": schematic_m,
|
|
"reason": why,
|
|
}
|
|
)
|
|
continue
|
|
if source == "layout":
|
|
points = [positions[tag] for tag in run.tags]
|
|
length_units, tree = rmst(points)
|
|
if regions["faces"]:
|
|
legs = [leg for i, j in tree for leg in route_legs(points[i], points[j])]
|
|
rooms = {key: value * m_layout for key, value in apportion(legs, regions).items()}
|
|
else:
|
|
centre = (
|
|
sum(p[0] for p in points) / len(points),
|
|
sum(p[1] for p in points) / len(points),
|
|
)
|
|
rooms = {room_at(regions, centre): length_units * m_layout}
|
|
for _i, j in tree:
|
|
key = room_at(regions, points[j])
|
|
rooms[key] = rooms.get(key, 0.0) + vertical
|
|
detail["layout_m"] = length_units * m_layout
|
|
detail["vertical_m"] = vertical * len(tree)
|
|
length_m = detail["layout_m"] + detail["vertical_m"]
|
|
else:
|
|
if layout is not None and scale.get("verdict") == "to_scale":
|
|
length_m = schematic_m / scale["factor"]
|
|
else:
|
|
length_m = schematic_m
|
|
centre = (
|
|
sum(end["at"][0] for end in ends) / len(ends),
|
|
sum(end["at"][1] for end in ends) / len(ends),
|
|
)
|
|
rooms = {room_at(regions, centre): length_m}
|
|
detail["length_m"] = length_m
|
|
detail["rooms"] = rooms
|
|
status = (
|
|
"A"
|
|
if all(p["continuity"] == 0.0 and p["unassigned"] == 0.0 for p in parts.values())
|
|
else "B"
|
|
)
|
|
detail["status"] = status
|
|
for diameter, part in parts.items():
|
|
share = part["drawn"] / drawn if drawn else 0.0
|
|
for room, room_m in rooms.items():
|
|
x = room_m * share
|
|
row = rows.setdefault(
|
|
(room, run.service, diameter),
|
|
{
|
|
"room": room,
|
|
"service": run.service,
|
|
"diameter": diameter,
|
|
"direct_m": 0.0,
|
|
"continuity_m": 0.0,
|
|
"unassigned_m": 0.0,
|
|
"net_m": 0.0,
|
|
"schematic_m": 0.0,
|
|
"status": "A",
|
|
"runs": [],
|
|
},
|
|
)
|
|
row["net_m"] += x
|
|
row["direct_m"] += x * part["direct"] / part["drawn"]
|
|
row["continuity_m"] += x * part["continuity"] / part["drawn"]
|
|
row["unassigned_m"] += x * part["unassigned"] / part["drawn"]
|
|
row["schematic_m"] += schematic_m * share * (room_m / length_m if length_m else 0.0)
|
|
if part["continuity"] or part["unassigned"]:
|
|
row["status"] = "B"
|
|
if run.id not in row["runs"]:
|
|
row["runs"].append(run.id)
|
|
|
|
order = {service: i for i, service in enumerate(SERVICES)}
|
|
table = []
|
|
for key in sorted(rows, key=lambda k: (k[0], order.get(k[1], len(order)), k[2])):
|
|
row = rows[key]
|
|
row["allowance"] = allowance
|
|
row["allowance_m"] = row["net_m"] * allowance
|
|
row["total_m"] = row["net_m"] + row["allowance_m"]
|
|
table.append(row)
|
|
|
|
routed = sum(row["net_m"] for row in table)
|
|
unroutable = sum(c["schematic_m"] for c in control if c["kind"] == "unroutable")
|
|
net_total = routed + unroutable
|
|
summary = {
|
|
name: [
|
|
{
|
|
"key": key,
|
|
"net_m": sum(r["net_m"] for r in table if r[field] == key),
|
|
"total_m": sum(r["total_m"] for r in table if r[field] == key),
|
|
}
|
|
for key in sorted({r[field] for r in table})
|
|
]
|
|
for name, field in (
|
|
("by_service", "service"),
|
|
("by_diameter", "diameter"),
|
|
("by_room", "room"),
|
|
)
|
|
}
|
|
warnings = [u["warning"] for u in (pid_unit, layout_unit) if u and u["warning"]]
|
|
if not scale_verified:
|
|
warnings.append(
|
|
"scale_verified: false - lengths are drawn lengths on a P&ID that no scale check "
|
|
"has confirmed; they are not physical pipe lengths"
|
|
)
|
|
return {
|
|
"kind": "pipe",
|
|
"rows": table,
|
|
"runs": runs_out,
|
|
"control": control,
|
|
"summary": summary,
|
|
"totals": {
|
|
"routed_m": routed,
|
|
"unroutable_m": unroutable,
|
|
"net_m": net_total,
|
|
"allowance": allowance,
|
|
"allowance_m": net_total * allowance,
|
|
"total_m": net_total * (1.0 + allowance),
|
|
"flagged_runs": sum(1 for r in runs_out if r["status"] == "C"),
|
|
},
|
|
"length_source": source,
|
|
"scale": scale,
|
|
"scale_verified": scale_verified,
|
|
"units": {"pid": pid_unit, "layout": layout_unit},
|
|
"warnings": warnings,
|
|
"method": {
|
|
"sources": {"pid": pid.source, "layout": layout.source if layout else None},
|
|
"length_source": source,
|
|
"requested": length_source,
|
|
"reason": reason,
|
|
"allowance": allowance,
|
|
"vertical_allowance": vertical,
|
|
"services": list(options["services"]),
|
|
"excluded_services": excluded,
|
|
"tol": network["stats"]["tol"],
|
|
"label_search": network["stats"]["label_search"],
|
|
"overlap_length_m": network["stats"]["overlap_length"] * m_pid,
|
|
"route": "rectilinear MST of the tag positions; each connection x first, then y",
|
|
"rooms": _rooms_mode(regions),
|
|
},
|
|
}
|