559 lines
22 KiB
Python
559 lines
22 KiB
Python
"""Fixed Origin adapter for origin.plot@v2.
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This process accepts exactly one argument: a Node-created job directory. It never
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installs packages, evaluates user code, downloads data, or resolves paths from the
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request. terminal.json is its only terminal-state contract.
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"""
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from __future__ import annotations
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import csv
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import hashlib
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import json
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import math
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import os
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import sys
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from datetime import datetime, timezone
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from importlib.metadata import PackageNotFoundError, version
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from pathlib import Path
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from typing import Any
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PLOT_CONFIG = {
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"line": ("line", "l"),
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"scatter": ("scatter", "s"),
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"line_scatter": ("linesymb", "y"),
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"column": ("column", "c"),
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"bar": ("bar", 215),
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"grouped_column": ("column", "c"),
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"y_error": ("ERRBAR", "y"),
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"contour": ("TriContour", 243),
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"surface_3d": ("glCMAP", 103),
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"ternary": ("ternary", 245),
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}
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XYZ_PLOT_TYPES = {"contour", "surface_3d", "ternary", "heatmap"}
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FORMATS = {"opju", "png", "svg", "pdf"}
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LINE_STYLES = {
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"solid": 1,
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"dash": 2,
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"dot": 3,
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"dash_dot": 4,
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"dash_dot_dot": 5,
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}
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SYMBOLS = {
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"square": 0,
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"circle": 1,
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"triangle_up": 2,
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"diamond": 3,
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"cross": 9,
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"plus": 10,
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}
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LEGEND_POSITIONS = {
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"top_left": (700, 500),
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"top_right": (6800, 500),
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"bottom_left": (700, 7200),
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"bottom_right": (6800, 7200),
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}
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ADAPTER_VERSION = "0.5.0"
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def _probe() -> int:
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health = "ready"
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detail = "Origin COM 与托管 Python 运行时可用"
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software_version = None
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try:
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if sys.platform != "win32":
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raise RuntimeError("Origin adapter requires Windows")
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import winreg
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import originpro
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with winreg.OpenKey(winreg.HKEY_CLASSES_ROOT, r"Origin.ApplicationSI\CLSID"):
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pass
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originpro_version = version("originpro")
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detail = f"Origin COM 与托管 Python 运行时可用（originpro {originpro_version}）"
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del originpro
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except (FileNotFoundError, ImportError, OSError, PackageNotFoundError, RuntimeError) as exc:
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health = "unavailable"
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detail = str(exc)
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print(json.dumps({
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"adapter_version": ADAPTER_VERSION,
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"software": "OriginPro",
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"software_version": software_version,
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"health": health,
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"detail": detail,
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}, ensure_ascii=False))
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return 0
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def _validate_semantics(request: dict[str, Any]) -> None:
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input_keys = {item["key"] for item in request["inputs"]}
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plot = request["operation"]["plot"]
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plot_type = plot["type"]
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series = plot["series"]
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used_inputs = {item["input"] for item in series}
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if used_inputs != input_keys:
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raise ValueError("INPUT_BINDINGS_MUST_BE_USED_EXACTLY")
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if plot_type == "grouped_column" and len(series) < 2:
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raise ValueError("GROUPED_COLUMN_REQUIRES_MULTIPLE_SERIES")
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if plot_type in XYZ_PLOT_TYPES and len(series) != 1:
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raise ValueError("XYZ_PLOT_REQUIRES_ONE_SERIES")
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required_roles = (
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("x", "y", "z") if plot_type in XYZ_PLOT_TYPES
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else ("x", "y", "y_error") if plot_type == "y_error"
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else ("x", "y")
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)
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for item in series:
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if any(role not in item for role in required_roles):
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raise ValueError("SERIES_REQUIRED_ROLE_MISSING")
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for axis_name in ("x_axis", "y_axis", "z_axis"):
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axis = plot.get(axis_name) or {}
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minimum = axis.get("minimum")
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maximum = axis.get("maximum")
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if minimum is not None and maximum is not None and minimum >= maximum:
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raise ValueError(f"{axis_name.upper()}_LIMITS_INVALID")
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if axis.get("scale") in {"log10", "ln", "log2"} and (
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minimum is not None and minimum <= 0 or maximum is not None and maximum <= 0
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):
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raise ValueError(f"{axis_name.upper()}_LOG_LIMIT_INVALID")
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def _atomic_json(path: Path, value: Any) -> None:
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temporary = path.with_name(path.name + ".tmp-" + os.urandom(8).hex())
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try:
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with temporary.open("w", encoding="utf-8", newline="\n") as handle:
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json.dump(value, handle, ensure_ascii=False, indent=2)
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handle.flush()
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os.fsync(handle.fileno())
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os.replace(temporary, path)
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finally:
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temporary.unlink(missing_ok=True)
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def _read_rows(path: Path, sheet: str | None) -> tuple[list[str], list[list[Any]]]:
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suffix = path.suffix.lower()
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if suffix == ".csv":
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with path.open("r", encoding="utf-8-sig", newline="") as handle:
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rows = list(csv.reader(handle))
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if len(rows) < 2:
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raise ValueError("CSV_INPUT_EMPTY")
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return [str(item) for item in rows[0]], rows[1:]
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if suffix == ".json":
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value = json.loads(path.read_text(encoding="utf-8"))
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if isinstance(value, list) and value and all(isinstance(item, dict) for item in value):
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headers = list(value[0])
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return headers, [[item.get(name) for name in headers] for item in value]
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if isinstance(value, dict) and value and all(isinstance(item, list) for item in value.values()):
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headers = list(value)
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length = max(len(value[name]) for name in headers)
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return headers, [[value[name][index] if index < len(value[name]) else None for name in headers] for index in range(length)]
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raise ValueError("JSON_INPUT_SHAPE_UNSUPPORTED")
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if suffix == ".xlsx":
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from openpyxl import load_workbook
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workbook = load_workbook(path, read_only=True, data_only=True)
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try:
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worksheet = workbook[sheet] if sheet else workbook.active
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rows = list(worksheet.iter_rows(values_only=True))
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finally:
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workbook.close()
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if len(rows) < 2:
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raise ValueError("XLSX_INPUT_EMPTY")
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return [str(item or "") for item in rows[0]], [list(row) for row in rows[1:]]
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raise ValueError("INPUT_TYPE_UNSUPPORTED")
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def _column_index(headers: list[str], value: Any, field: str) -> int:
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if not isinstance(value, str) or value not in headers:
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raise ValueError(f"{field.upper()}_COLUMN_NOT_FOUND")
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return headers.index(value)
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def _manifest(path: Path, media_type: str) -> dict[str, Any]:
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return {
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"artifact_id": {
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"project.opju": "project",
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"figure.png": "figure_png",
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"figure.svg": "figure_svg",
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"figure.pdf": "figure_pdf",
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"plot-spec.json": "plot_spec",
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"provenance.json": "provenance",
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}[path.name],
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"filename": path.name,
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"media_type": media_type,
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"size_bytes": path.stat().st_size,
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"sha256": _file_sha256(path),
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}
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def _file_sha256(path: Path) -> str:
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digest = hashlib.sha256()
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with path.open("rb") as handle:
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for chunk in iter(lambda: handle.read(1024 * 1024), b""):
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digest.update(chunk)
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return digest.hexdigest()
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def _axis_title(axis: Any, fallback: str) -> str:
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if not isinstance(axis, dict):
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return fallback
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title = str(axis.get("title") or fallback)
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unit = str(axis.get("unit") or "")
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return f"{title} ({unit})" if unit else title
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def _hex_color(value: str) -> tuple[int, int, int]:
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return tuple(int(value[index:index + 2], 16) for index in (1, 3, 5))
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def _apply_canvas(graph: Any, canvas: Any) -> None:
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if not isinstance(canvas, dict):
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return
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width = float(canvas["width_mm"])
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height = float(canvas["height_mm"])
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graph.set_float("width", width / 25.4 * graph.get_float("resx"))
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graph.set_float("height", height / 25.4 * graph.get_float("resy"))
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def _apply_axis(layer: Any, name: str, spec: Any, fallback: str) -> None:
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settings = spec if isinstance(spec, dict) else {}
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axis = layer.axis(name)
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axis.title = _axis_title(settings, fallback)
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if "scale" in settings:
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axis.scale = settings["scale"]
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if any(key in settings for key in ("minimum", "maximum", "major_step")):
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axis.set_limits(
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settings.get("minimum"), settings.get("maximum"), settings.get("major_step")
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)
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if "tick_label_angle" in settings:
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layer.set_float(f"{name}.label.rotate", float(settings["tick_label_angle"]))
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if "tick_label_font_size" in settings:
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layer.set_float(f"{name}.label.pt", float(settings["tick_label_font_size"]))
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if "title_font_size" in settings:
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title_object = {"x": "xb", "y": "yl", "z": "zf"}[name]
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layer.label(title_object).set_int("fsize", round(settings["title_font_size"]))
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if "grid" in settings:
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grid_value = {"none": 0, "major": 1, "major_minor": 3}[settings["grid"]]
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layer.set_int(f"{name}.grid.show", grid_value)
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def _apply_series_style(origin_plot: Any, style: Any) -> None:
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if not isinstance(style, dict):
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return
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if "color" in style:
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origin_plot.color = _hex_color(style["color"])
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if "line_width" in style:
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origin_plot.set_float("line.width", float(style["line_width"]))
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if "line_style" in style:
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origin_plot.set_int("line.type", LINE_STYLES[style["line_style"]])
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if "symbol" in style:
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origin_plot.symbol_kind = SYMBOLS[style["symbol"]]
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if "symbol_size" in style:
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origin_plot.symbol_size = float(style["symbol_size"])
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if "transparency" in style:
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origin_plot.transparency = int(style["transparency"])
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def _apply_legend(layer: Any, legend: Any) -> None:
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if not isinstance(legend, dict):
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return
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label = layer.label("Legend")
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label.show = legend.get("enabled", True)
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if "font_size" in legend:
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label.set_int("fsize", round(legend["font_size"]))
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if "position" in legend:
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left, top = LEGEND_POSITIONS[legend["position"]]
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label.set_int("left", left)
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label.set_int("top", top)
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def _input_file(job_dir: Path, key: str) -> Path:
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directory = job_dir / "input" / key
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files = [path for path in directory.iterdir() if path.is_file() and not path.name.startswith(".")]
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if len(files) != 1:
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raise ValueError(f"INPUT_FILE_COUNT_INVALID:{key}")
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return files[0]
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def _resolve_series(
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input_data: dict[str, tuple[list[str], list[list[Any]]]],
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series_specs: list[dict[str, Any]],
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) -> tuple[list[dict[str, Any]], dict[tuple[str, int], str]]:
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resolved: list[dict[str, Any]] = []
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labels: dict[tuple[str, int], str] = {}
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for series in series_specs:
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input_key = series["input"]
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headers, _ = input_data[input_key]
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role_indexes = {
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role: _column_index(headers, series[role], role)
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for role in ("x", "y", "z", "y_error") if role in series
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}
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y_index = role_indexes["y"]
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label = series.get("label")
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label_key = (input_key, y_index)
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effective_label = label or series["y"]
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if label_key in labels and labels[label_key] != effective_label:
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raise ValueError("SERIES_LABEL_CONFLICT")
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labels[label_key] = effective_label
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resolved.append({"input": input_key, "label": label, **role_indexes})
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return resolved, labels
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def _number(value: Any, role: str) -> float:
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if isinstance(value, bool):
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raise ValueError(f"{role.upper()}_VALUE_NOT_NUMERIC") # noqa: TRY004
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try:
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number = float(value)
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except (TypeError, ValueError) as exc:
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raise ValueError(f"{role.upper()}_VALUE_NOT_NUMERIC") from exc
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if not math.isfinite(number):
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raise ValueError(f"{role.upper()}_VALUE_NOT_FINITE")
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return number
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def _is_evenly_spaced(values: list[float]) -> bool:
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if len(values) <= 2:
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return True
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step = values[1] - values[0]
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tolerance = max(abs(step) * 1e-9, 1e-12)
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return all(
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math.isclose(current - previous, step, rel_tol=1e-9, abs_tol=tolerance)
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for previous, current in zip(values[1:-1], values[2:], strict=True)
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)
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def _heatmap_matrix(
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rows: list[list[Any]], resolved: dict[str, Any]
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) -> tuple[list[list[float]], tuple[float, float, float, float]]:
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points: dict[tuple[float, float], float] = {}
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for row in rows:
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try:
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x = _number(row[resolved["x"]], "x")
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y = _number(row[resolved["y"]], "y")
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z = _number(row[resolved["z"]], "z")
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except IndexError as exc:
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raise ValueError("HEATMAP_ROW_INCOMPLETE") from exc
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if (x, y) in points:
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raise ValueError("HEATMAP_COORDINATES_DUPLICATED")
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points[(x, y)] = z
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x_values = sorted({item[0] for item in points})
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y_values = sorted({item[1] for item in points})
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if len(x_values) < 2 or len(y_values) < 2:
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raise ValueError("HEATMAP_GRID_TOO_SMALL")
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if len(points) != len(x_values) * len(y_values):
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raise ValueError("HEATMAP_GRID_INCOMPLETE")
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if not _is_evenly_spaced(x_values) or not _is_evenly_spaced(y_values):
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raise ValueError("HEATMAP_GRID_NOT_REGULAR")
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matrix = [[points[(x, y)] for x in x_values] for y in y_values]
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return matrix, (x_values[0], x_values[-1], y_values[0], y_values[-1])
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def _validate_artifact(path: Path, extension: str) -> None:
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if not path.is_file() or path.stat().st_size == 0:
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raise RuntimeError(f"{extension.upper()}_EXPORT_EMPTY")
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head = path.read_bytes()[:1024]
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if extension == "png" and not head.startswith(b"\x89PNG\r\n\x1a\n"):
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raise RuntimeError("PNG_EXPORT_INVALID")
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if extension == "pdf" and not head.startswith(b"%PDF-"):
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raise RuntimeError("PDF_EXPORT_INVALID")
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if extension == "svg" and b"<svg" not in head.lower():
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raise RuntimeError("SVG_EXPORT_INVALID")
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if extension == "opju" and len(head) < 64:
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raise RuntimeError("OPJU_EXPORT_INVALID")
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def run(job_dir: Path) -> list[dict[str, Any]]:
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job_dir = job_dir.resolve(strict=True)
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request_record = json.loads((job_dir / "request" / "request.json").read_text(encoding="utf-8"))
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request = request_record["request"]
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_validate_semantics(request)
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input_specs = request["inputs"]
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input_files = {item["key"]: _input_file(job_dir, item["key"]) for item in input_specs}
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input_data = {
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item["key"]: _read_rows(
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input_files[item["key"]],
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(item.get("selector") or {}).get("sheet"),
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)
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for item in input_specs
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}
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plot_spec = request["operation"]["plot"]
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plot_type = plot_spec["type"]
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if plot_type not in PLOT_CONFIG and plot_type != "heatmap":
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raise ValueError("PLOT_TYPE_NOT_IMPLEMENTED")
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series_specs = plot_spec["series"]
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resolved_series, labels = _resolve_series(input_data, series_specs)
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import originpro as op
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output = job_dir / "output"
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output.mkdir(exist_ok=True)
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op.set_show(False)
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try:
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op.new()
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worksheets: dict[str, Any] = {}
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for input_spec in input_specs:
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input_key = input_spec["key"]
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headers, rows = input_data[input_key]
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worksheet = op.new_sheet("w", lname=input_key)
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worksheets[input_key] = worksheet
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for index, header in enumerate(headers):
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column_label = labels.get((input_key, index), header)
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worksheet.from_list(
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index,
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[row[index] if index < len(row) else None for row in rows],
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lname=column_label,
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)
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if plot_type == "heatmap":
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import numpy as np
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resolved = resolved_series[0]
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_, rows = input_data[resolved["input"]]
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matrix, xy_map = _heatmap_matrix(rows, resolved)
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matrix_sheet = op.new_sheet("m")
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matrix_sheet.from_np(np.array(matrix, dtype=float))
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matrix_sheet.xymap = xy_map
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matrix_sheet.set_label(
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0, _axis_title(plot_spec.get("z_axis"), str(series_specs[0]["z"]))
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)
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graph = op.new_graph(template="heatmap")
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layer = graph[0]
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origin_plots = [layer.add_mplot(matrix_sheet, 0, type=105)]
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else:
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template, origin_plot_type = PLOT_CONFIG[plot_type]
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graph = op.new_graph(template=template)
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layer = graph[0]
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origin_plots = []
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for resolved in resolved_series:
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arguments = {
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"coly": resolved["y"],
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"colx": resolved["x"],
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"type": origin_plot_type,
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}
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if plot_type in XYZ_PLOT_TYPES:
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arguments["colz"] = resolved["z"]
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if plot_type == "y_error":
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arguments["colyerr"] = resolved["y_error"]
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origin_plots.append(layer.add_plot(worksheets[resolved["input"]], **arguments))
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if plot_type == "grouped_column":
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layer.group()
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layer.rescale()
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_apply_canvas(graph, plot_spec.get("canvas"))
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_apply_axis(
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layer, "x", plot_spec.get("x_axis"), str(series_specs[0].get("x") or "X")
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)
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_apply_axis(layer, "y", plot_spec.get("y_axis"), "Y")
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if plot_type == "surface_3d":
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_apply_axis(
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layer, "z", plot_spec.get("z_axis"), str(series_specs[0].get("z") or "Z")
|
||
)
|
||
for origin_plot, series_spec in zip(origin_plots, series_specs, strict=True):
|
||
_apply_series_style(origin_plot, series_spec.get("style"))
|
||
_apply_legend(layer, plot_spec.get("legend"))
|
||
if plot_spec.get("title"):
|
||
title = layer.add_label(str(plot_spec["title"]))
|
||
title_font_size = (plot_spec.get("title_style") or {}).get("font_size", 18)
|
||
title.set_int("fsize", round(title_font_size))
|
||
title.set_int("left", 2200)
|
||
title.set_int("top", 120)
|
||
requested_outputs = request["outputs"]
|
||
formats = [item["format"] for item in requested_outputs]
|
||
if any(item not in FORMATS for item in formats):
|
||
raise ValueError("OUTPUT_FORMAT_UNSUPPORTED")
|
||
artifacts: list[dict[str, Any]] = []
|
||
if "opju" in formats:
|
||
project = output / "project.opju"
|
||
op.save(str(project))
|
||
_validate_artifact(project, "opju")
|
||
artifacts.append(_manifest(project, "application/x-origin-project"))
|
||
media = {"png": "image/png", "svg": "image/svg+xml", "pdf": "application/pdf"}
|
||
png_output = next((item for item in requested_outputs if item["format"] == "png"), None)
|
||
dpi = (png_output.get("options") or {}).get("dpi", 300) if png_output else 300
|
||
if not isinstance(dpi, int) or isinstance(dpi, bool) or not 72 <= dpi <= 1200:
|
||
raise ValueError("OUTPUT_DPI_INVALID")
|
||
canvas_width_mm = (plot_spec.get("canvas") or {}).get("width_mm", 160)
|
||
pixel_width = round(dpi * canvas_width_mm / 25.4)
|
||
for extension in ("png", "svg", "pdf"):
|
||
if extension in formats:
|
||
target = output / f"figure.{extension}"
|
||
exported = Path(graph.save_fig(
|
||
str(target),
|
||
type=extension,
|
||
width=pixel_width if extension == "png" else 0,
|
||
ratio=100 if extension in {"svg", "pdf"} else 0,
|
||
)).resolve()
|
||
if exported != target.resolve() or not target.is_file():
|
||
raise RuntimeError(f"{extension.upper()}_EXPORT_FAILED")
|
||
_validate_artifact(target, extension)
|
||
artifacts.append(_manifest(target, media[extension]))
|
||
try:
|
||
originpro_version = version("originpro")
|
||
except PackageNotFoundError:
|
||
originpro_version = "embedded"
|
||
provenance = {
|
||
"adapter_version": ADAPTER_VERSION,
|
||
"originpro_version": originpro_version,
|
||
"request_digest": request_record["request_digest"],
|
||
"inputs": [
|
||
{
|
||
"key": item["key"],
|
||
"filename": input_files[item["key"]].name,
|
||
"sha256": _file_sha256(input_files[item["key"]]),
|
||
}
|
||
for item in input_specs
|
||
],
|
||
"outputs": requested_outputs,
|
||
"requested_dpi": dpi if png_output else None,
|
||
"png_pixel_width": pixel_width if png_output else None,
|
||
"canvas_mm": plot_spec.get("canvas"),
|
||
}
|
||
plot_spec_path = output / "plot-spec.json"
|
||
provenance_path = output / "provenance.json"
|
||
_atomic_json(plot_spec_path, request)
|
||
_atomic_json(provenance_path, provenance)
|
||
artifacts.append(_manifest(plot_spec_path, "application/json"))
|
||
artifacts.append(_manifest(provenance_path, "application/json"))
|
||
return artifacts
|
||
finally:
|
||
if op.oext:
|
||
op.exit()
|
||
|
||
|
||
def main() -> int:
|
||
if sys.argv[1:] == ["--probe"]:
|
||
return _probe()
|
||
if len(sys.argv) != 2:
|
||
print("[ERR] Usage: worker.py <job-directory>", file=sys.stderr)
|
||
return 2
|
||
job_dir = Path(sys.argv[1])
|
||
request_record: dict[str, Any] = {}
|
||
try:
|
||
request_record = json.loads((job_dir / "request" / "request.json").read_text(encoding="utf-8"))
|
||
artifacts = run(job_dir)
|
||
terminal = {
|
||
"job_id": request_record["job_id"],
|
||
"lease_id": request_record["lease_id"],
|
||
"request_digest": request_record["request_digest"],
|
||
"status": "succeeded",
|
||
"error": {},
|
||
"artifact_manifest": artifacts,
|
||
"terminal_at": datetime.now(timezone.utc).isoformat(),
|
||
}
|
||
_atomic_json(job_dir / "artifacts.json", artifacts)
|
||
_atomic_json(job_dir / "terminal.json", terminal)
|
||
print("[OK] Origin job completed.")
|
||
return 0
|
||
except Exception as exception:
|
||
terminal = {
|
||
"job_id": request_record.get("job_id", ""),
|
||
"lease_id": request_record.get("lease_id", ""),
|
||
"request_digest": request_record.get("request_digest", ""),
|
||
"status": "failed",
|
||
"error": {"code": type(exception).__name__, "detail": str(exception)[:500]},
|
||
"artifact_manifest": [],
|
||
"terminal_at": datetime.now(timezone.utc).isoformat(),
|
||
}
|
||
_atomic_json(job_dir / "terminal.json", terminal)
|
||
print(f"[ERR] {type(exception).__name__}: {exception}", file=sys.stderr)
|
||
return 1
|
||
|
||
|
||
if __name__ == "__main__":
|
||
raise SystemExit(main())
|