179 lines
6.3 KiB
Python
179 lines
6.3 KiB
Python
import json
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import os
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import subprocess
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from dataclasses import dataclass
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from pathlib import Path
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from typing import Any
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import tomli
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from semver import Version
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# YYC MARK:
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# We use `tomli` with at least 2.4.0 version by design.
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# Considering that Cargo has approve the change allowing TOML 1.1 syntax in `Cargo.toml`,
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# Python embedded `toml` package, which only support TOML 1.0 syntax until Python 3.15,
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# is not suit for parsing `Cargo.toml` in future.
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# So we use the upstream of official `toml` package, i.e. `tomli` as our solution.
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# And according to the document if `tomli`, the version starting support TOML 1.1 syntax is 2.4.0.
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@dataclass(frozen=True)
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class MetadataHeader:
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from_path: str
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to_path: str
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def __post_init__(self) -> None:
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if self.from_path == "":
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raise ValueError("header asset 'from' must not be empty")
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@staticmethod
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def from_dict(d: dict[str, Any]) -> "MetadataHeader":
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from_path = d.get("from")
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if from_path is None:
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raise ValueError("header asset is missing required key 'from'")
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if not isinstance(from_path, str):
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raise TypeError("header asset 'from' must be a string")
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to_path = d.get("to", "")
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if not isinstance(to_path, str):
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raise TypeError("header asset 'to' must be a string")
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return MetadataHeader(from_path=from_path, to_path=to_path)
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@dataclass(frozen=True)
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class MetadataCMake:
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namespace_name: str | None
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target_name: str | None
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@staticmethod
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def from_dict(d: dict[str, Any]) -> "MetadataCMake":
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namespace_name = d.get("namespace_name")
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if namespace_name is not None and not isinstance(namespace_name, str):
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raise TypeError("cmake 'namespace_name' must be a string or None")
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target_name = d.get("target_name")
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if target_name is not None and not isinstance(target_name, str):
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raise TypeError("cmake 'target_name' must be a string or None")
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return MetadataCMake(namespace_name=namespace_name, target_name=target_name)
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@dataclass(frozen=True)
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class MetadataPkgConfig:
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name: str | None
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description: str | None
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@staticmethod
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def from_dict(d: dict[str, Any]) -> "MetadataPkgConfig":
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name = d.get("name")
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if name is not None and not isinstance(name, str):
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raise TypeError("pkgconfig 'name' must be a string or None")
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description = d.get("description")
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if description is not None and not isinstance(description, str):
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raise TypeError("pkgconfig 'description' must be a string or None")
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return MetadataPkgConfig(name=name, description=description)
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@dataclass(frozen=True)
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class Metadata:
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min_version: Version | None
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headers: tuple[MetadataHeader, ...]
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cmake: MetadataCMake | None
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pkgconfig: MetadataPkgConfig | None
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@staticmethod
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def from_dict(d: dict[str, Any]) -> "Metadata":
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raw_min_version = d.get("min_version")
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if raw_min_version is not None:
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if not isinstance(raw_min_version, str):
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raise TypeError("min_version must be a string")
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try:
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min_version = Version.parse(raw_min_version)
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except ValueError as e:
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raise ValueError(f"invalid min_version {raw_min_version!r}: {e}") from e
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else:
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min_version = None
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raw_headers = d.get("headers")
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if raw_headers is None:
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raise ValueError(
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"headers is required (use an empty list to distribute no headers)"
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)
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if not isinstance(raw_headers, list):
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raise TypeError("headers must be a list")
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headers_list: list[MetadataHeader] = []
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for i, item in enumerate(raw_headers):
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if not isinstance(item, dict):
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raise TypeError(f"headers[{i}] must be a table")
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headers_list.append(MetadataHeader.from_dict(item))
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headers = tuple(headers_list)
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raw_cmake = d.get("cmake")
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if raw_cmake is not None:
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if not isinstance(raw_cmake, dict):
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raise TypeError("cmake must be a table")
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cmake = MetadataCMake.from_dict(raw_cmake)
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else:
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cmake = None
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raw_pkgconfig = d.get("pkgconfig")
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if raw_pkgconfig is not None:
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if not isinstance(raw_pkgconfig, dict):
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raise TypeError("pkgconfig must be a table")
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pkgconfig = MetadataPkgConfig.from_dict(raw_pkgconfig)
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else:
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pkgconfig = None
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return Metadata(
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min_version=min_version,
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headers=headers,
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cmake=cmake,
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pkgconfig=pkgconfig,
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)
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class MetadataExtractor:
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__cargo_toml_path: Path
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__cargo_metadata: dict[str, Any]
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__cargo_toml: dict[str, Any]
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def __init__(self, cargo_toml: Path) -> None:
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self.__cargo_toml_path = cargo_toml
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self.__cargo_toml = MetadataExtractor.__extract_cargo_toml(cargo_toml)
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self.__cargo_metadata = MetadataExtractor.__extract_cargo_metadata(cargo_toml)
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def extract_omrf_metadata(self) -> Metadata:
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omrf = self.__cargo_toml.get("package", {}).get("metadata", {}).get("omrf")
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if not isinstance(omrf, dict):
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raise ValueError("[package.metadata.omrf] is required")
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return Metadata.from_dict(omrf)
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@staticmethod
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def __extract_cargo_toml(cargo_toml: Path) -> dict[str, Any]:
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with open(cargo_toml, "rb") as f:
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return tomli.load(f)
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@staticmethod
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def __extract_cargo_metadata(cargo_toml: Path) -> dict[str, Any]:
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cargo_bin = os.getenv("OMRF_PACKER_CARGO", "cargo")
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cmd = [
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cargo_bin,
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"metadata",
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"--no-deps",
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"--format-version",
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"1",
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"--manifest-path",
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str(cargo_toml),
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]
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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try:
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stdout, stderr = proc.communicate(timeout=10)
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except subprocess.TimeoutExpired:
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proc.kill()
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proc.communicate()
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raise RuntimeError("fail to fetch cargo metadata: timed out")
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if proc.returncode != 0:
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raise RuntimeError(
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"fail to fetch cargo metadata: "
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+ stderr.decode("utf-8", errors="ignore")
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)
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else:
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return json.loads(stdout)
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