zcbot/windows-node/origin-worker/worker.py

306 lines
12 KiB
Python

"""Fixed Origin adapter for origin.plot@v2.
This process accepts exactly one argument: a Node-created job directory. It never
installs packages, evaluates user code, downloads data, or resolves paths from the
request. terminal.json is its only terminal-state contract.
"""
from __future__ import annotations
import csv
import hashlib
import json
import os
import sys
from datetime import datetime, timezone
from importlib.metadata import PackageNotFoundError, version
from pathlib import Path
from typing import Any
PLOT_TYPES = {"line": "l", "scatter": "s", "line_scatter": "y"}
FORMATS = {"opju", "png", "svg", "pdf"}
def _atomic_json(path: Path, value: Any) -> None:
temporary = path.with_name(path.name + ".tmp-" + os.urandom(8).hex())
try:
with temporary.open("w", encoding="utf-8", newline="\n") as handle:
json.dump(value, handle, ensure_ascii=False, indent=2)
handle.flush()
os.fsync(handle.fileno())
os.replace(temporary, path)
finally:
temporary.unlink(missing_ok=True)
def _read_rows(path: Path, sheet: str | None) -> tuple[list[str], list[list[Any]]]:
suffix = path.suffix.lower()
if suffix == ".csv":
with path.open("r", encoding="utf-8-sig", newline="") as handle:
rows = list(csv.reader(handle))
if len(rows) < 2:
raise ValueError("CSV_INPUT_EMPTY")
return [str(item) for item in rows[0]], rows[1:]
if suffix == ".json":
value = json.loads(path.read_text(encoding="utf-8"))
if isinstance(value, list) and value and all(isinstance(item, dict) for item in value):
headers = list(value[0])
return headers, [[item.get(name) for name in headers] for item in value]
if isinstance(value, dict) and value and all(isinstance(item, list) for item in value.values()):
headers = list(value)
length = max(len(value[name]) for name in headers)
return headers, [[value[name][index] if index < len(value[name]) else None for name in headers] for index in range(length)]
raise ValueError("JSON_INPUT_SHAPE_UNSUPPORTED")
if suffix == ".xlsx":
from openpyxl import load_workbook
workbook = load_workbook(path, read_only=True, data_only=True)
try:
worksheet = workbook[sheet] if sheet else workbook.active
rows = list(worksheet.iter_rows(values_only=True))
finally:
workbook.close()
if len(rows) < 2:
raise ValueError("XLSX_INPUT_EMPTY")
return [str(item or "") for item in rows[0]], [list(row) for row in rows[1:]]
raise ValueError("INPUT_TYPE_UNSUPPORTED")
def _column_index(headers: list[str], value: Any, field: str) -> int:
if not isinstance(value, str) or value not in headers:
raise ValueError(f"{field.upper()}_COLUMN_NOT_FOUND")
return headers.index(value)
def _manifest(path: Path, media_type: str) -> dict[str, Any]:
return {
"artifact_id": {
"project.opju": "project",
"figure.png": "figure_png",
"figure.svg": "figure_svg",
"figure.pdf": "figure_pdf",
"plot-spec.json": "plot_spec",
"provenance.json": "provenance",
}[path.name],
"filename": path.name,
"media_type": media_type,
"size_bytes": path.stat().st_size,
"sha256": _file_sha256(path),
}
def _file_sha256(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def _axis_title(axis: Any, fallback: str) -> str:
if not isinstance(axis, dict):
return fallback
title = str(axis.get("title") or fallback)
unit = str(axis.get("unit") or "")
return f"{title} ({unit})" if unit else title
def _input_file(job_dir: Path, key: str) -> Path:
directory = job_dir / "input" / key
files = [path for path in directory.iterdir() if path.is_file() and not path.name.startswith(".")]
if len(files) != 1:
raise ValueError(f"INPUT_FILE_COUNT_INVALID:{key}")
return files[0]
def _resolve_series(
input_data: dict[str, tuple[list[str], list[list[Any]]]],
series_specs: list[dict[str, Any]],
) -> tuple[list[tuple[str, int, int, str | None]], dict[tuple[str, int], str]]:
resolved: list[tuple[str, int, int, str | None]] = []
labels: dict[tuple[str, int], str] = {}
for series in series_specs:
input_key = series["input"]
headers, _ = input_data[input_key]
x_index = _column_index(headers, series["x"], "x")
y_index = _column_index(headers, series["y"], "y")
label = series.get("label")
label_key = (input_key, y_index)
effective_label = label or series["y"]
if label_key in labels and labels[label_key] != effective_label:
raise ValueError("SERIES_LABEL_CONFLICT")
labels[label_key] = effective_label
resolved.append((input_key, x_index, y_index, label))
return resolved, labels
def _validate_artifact(path: Path, extension: str) -> None:
if not path.is_file() or path.stat().st_size == 0:
raise RuntimeError(f"{extension.upper()}_EXPORT_EMPTY")
head = path.read_bytes()[:1024]
if extension == "png" and not head.startswith(b"\x89PNG\r\n\x1a\n"):
raise RuntimeError("PNG_EXPORT_INVALID")
if extension == "pdf" and not head.startswith(b"%PDF-"):
raise RuntimeError("PDF_EXPORT_INVALID")
if extension == "svg" and b"<svg" not in head.lower():
raise RuntimeError("SVG_EXPORT_INVALID")
if extension == "opju" and len(head) < 64:
raise RuntimeError("OPJU_EXPORT_INVALID")
def run(job_dir: Path) -> list[dict[str, Any]]:
job_dir = job_dir.resolve(strict=True)
request_record = json.loads((job_dir / "request" / "request.json").read_text(encoding="utf-8"))
request = request_record["request"]
input_specs = request["inputs"]
input_files = {item["key"]: _input_file(job_dir, item["key"]) for item in input_specs}
input_data = {
item["key"]: _read_rows(
input_files[item["key"]],
(item.get("selector") or {}).get("sheet"),
)
for item in input_specs
}
plot_spec = request["operation"]["plot"]
plot_type = plot_spec["type"]
if plot_type not in PLOT_TYPES:
raise ValueError("PLOT_TYPE_NOT_IMPLEMENTED")
series_specs = plot_spec["series"]
resolved_series, labels = _resolve_series(input_data, series_specs)
import originpro as op
output = job_dir / "output"
output.mkdir(exist_ok=True)
op.set_show(False)
try:
op.new()
worksheets: dict[str, Any] = {}
for input_spec in input_specs:
input_key = input_spec["key"]
headers, rows = input_data[input_key]
worksheet = op.new_sheet("w", lname=input_key)
worksheets[input_key] = worksheet
for index, header in enumerate(headers):
column_label = labels.get((input_key, index), header)
worksheet.from_list(
index,
[row[index] if index < len(row) else None for row in rows],
lname=column_label,
)
graph = op.new_graph(template={"line": "line", "scatter": "scatter", "line_scatter": "linesymb"}[plot_type])
layer = graph[0]
for input_key, x_index, y_index, _ in resolved_series:
layer.add_plot(
worksheets[input_key], coly=y_index, colx=x_index, type=PLOT_TYPES[plot_type]
)
layer.rescale()
layer.axis("x").title = _axis_title(
plot_spec.get("x_axis"), str(series_specs[0].get("x") or "X")
)
layer.axis("y").title = _axis_title(plot_spec.get("y_axis"), "Y")
if plot_spec.get("title"):
title = layer.add_label(str(plot_spec["title"]))
title.set_int("fsize", 18)
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")
pixel_width = round(dpi * 160 / 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": "0.3.0",
"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,
}
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 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())