File size: 4,877 Bytes
90cd4d1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
"""AgentArk task catalog compatibility and selection (standard library only).

A task's labeled env_version is its minimum supported environment version.
All later environment versions are supported by project policy. This is not
a statement that every task has been executed on every later environment.
"""

import argparse
import json
import re
from pathlib import Path


COMPATIBILITY_POLICY = {
    "id": "minimum-env-version-v1",
    "rule": "environment_version >= min_env_version",
    "minimum_field": "min_env_version",
    "legacy_minimum_field": "env_version",
    "specifier_field": "env_version_spec",
    "forward_compatible": True,
    "version_comparison": "numeric dotted components; missing components are zero",
    "compatible_env_versions_semantics": "known published compatible versions; not exhaustive and not a test matrix",
    "validation_semantics": "existing validation fields and evidence describe actual tests only",
    "requirements_semantics": "platform and separately declared wrapper/capability requirements still apply",
}


def version_key(value: str) -> tuple[int, ...]:
    """Compare 1.0.10 numerically; regard 1.0 and 1.0.0 as equal."""
    if not isinstance(value, str) or not re.fullmatch(r"\d+(?:\.\d+)*", value):
        raise ValueError(f"Expected a numeric dotted environment version, got {value!r}")
    parts = [int(part) for part in value.split(".")]
    while len(parts) > 1 and parts[-1] == 0:
        parts.pop()
    return tuple(parts)


def minimum_env_version(row: dict) -> str:
    labeled = row["env_version"]
    minimum = row.get("min_env_version", labeled)
    if version_key(minimum) != version_key(labeled):
        raise ValueError(f"Minimum contradicts labeled env_version for {row.get('path', row.get('task_id'))}")
    return minimum


def supports_environment(row: dict, env_version: str) -> bool:
    return version_key(env_version) >= version_key(minimum_env_version(row))


def normalize_task(row: dict, published_env_versions) -> dict:
    """Add range metadata without altering artifact identity or test evidence."""
    minimum = minimum_env_version(row)
    known = set(published_env_versions) | set(row.get("compatible_env_versions", [])) | {minimum}
    for version in known:
        version_key(version)
    compatible = sorted((v for v in known if supports_environment(row, v)), key=lambda v: (version_key(v), v))
    return {
        **row,
        "min_env_version": minimum,
        "env_version_spec": f">={minimum}",
        "env_compatibility_policy": COMPATIBILITY_POLICY["id"],
        "compatible_env_versions": compatible,
    }


def select_tasks(rows: list[dict], env_version: str, platform: str | None = None,
                 task_ids: set[int] | None = None) -> list[dict]:
    """Latest compatible task version per task/platform; no downloads or install.

    An unsupported new task version must not hide an older compatible version.
    Separately declared requirements are returned intact for the caller to honor.
    """
    version_key(env_version)
    selected = {}
    def rank(row):
        task_version = row["task_version"]
        if task_version.startswith("v"):
            task_version = task_version[1:]
        return version_key(task_version), version_key(minimum_env_version(row)), row["path"]
    for row in rows:
        if platform is not None and row["platform"] != platform:
            continue
        if task_ids is not None and int(row["task_id"]) not in task_ids:
            continue
        if not supports_environment(row, env_version):
            continue
        key = (int(row["task_id"]), row["platform"])
        if key not in selected or rank(row) > rank(selected[key]):
            selected[key] = row
    return [selected[key] for key in sorted(selected)]


def main():
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--registry", type=Path, required=True, help="Downloaded registry/tasks.jsonl")
    parser.add_argument("--env-version", required=True)
    parser.add_argument("--platform", choices=("windows", "linux"))
    parser.add_argument("--task-id", type=int, action="append", help="Repeat to select multiple task IDs")
    args = parser.parse_args()
    rows = [json.loads(line) for line in args.registry.read_text(encoding="utf-8-sig").splitlines() if line.strip()]
    try:
        selected = select_tasks(rows, args.env_version, args.platform, set(args.task_id) if args.task_id else None)
        if args.task_id and {int(r["task_id"]) for r in selected} != set(args.task_id):
            parser.error("At least one requested task has no compatible artifact for this environment/platform")
    except (ValueError, KeyError) as exc:
        parser.error(str(exc))
    for row in selected:
        print(json.dumps(row, ensure_ascii=False, sort_keys=True))


if __name__ == "__main__":
    main()