• Home
  • Line#
  • Scopes#
  • Navigate#
  • Raw
  • Download
1#!/usr/bin/env python
2# -*- coding: utf-8 -*-
3
4#
5# Copyright (c) 2025 Northeastern University
6# Licensed under the Apache License, Version 2.0 (the "License");
7# you may not use this file except in compliance with the License.
8# You may obtain a copy of the License at
9#
10#     http://www.apache.org/licenses/LICENSE-2.0
11#
12# Unless required by applicable law or agreed to in writing, software
13# distributed under the License is distributed on an "AS IS" BASIS,
14# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15# See the License for the specific language governing permissions and
16# limitations under the License.
17#
18
19from dataclasses import dataclass, field, asdict
20from typing import List, Dict, Any
21
22
23@dataclass
24class Target:
25    target_name: str = ""
26    type: str = ""
27    args: List[str] = field(default_factory=list)
28    deps: List[str] = field(default_factory=list)
29    depfile: str = ""
30    inputs: List[str] = field(default_factory=list)
31    metadata: Dict[str, Any] = field(default_factory=dict)
32    outputs: List[str] = field(default_factory=list)
33    public: str = ""
34    script: str = ""
35    testonly: bool = False
36    toolchain: str = ""
37    visibility: List[str] = field(default_factory=list)
38    source_outputs: Dict[str, Any] = field(default_factory=dict)
39    sources: List[str] = field(default_factory=list)
40    libs: List[str] = field(default_factory=list)
41    ldflags: List[str] = field(default_factory=list)
42
43    @classmethod
44    def from_dict(cls, target_name: str, d: Dict[str, Any]) -> "Target":
45        allowed = {f.name for f in cls.__dataclass_fields__.values()}
46        return cls(target_name=target_name,
47                   **{k: v for k, v in d.items() if k in allowed})
48
49    def to_dict(self) -> Dict[str, Any]:
50        return asdict(self)
51
52    def to_dict_without_name(self) -> Dict[str, Any]:
53        data = asdict(self)
54        data.pop('target_name', None)
55        return data
56