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#!/usr/bin/env python3
"""按显式项目上下文确定性选择 active ACK 知识。
匹配采用大小写敏感 glob;entry 中每个非空 scope 维度都必须被查询上下文命中。
scope.all=true 的条目始终命中并优先占用 --limit,数量超过预算时显式失败。其余
结果按作用域具体程度及稳定引用排序。本脚本只输出数据,绝不执行 knowledge.yaml
中的任何文本。
"""
from __future__ import annotations
import argparse
import fnmatch
import json
import sys
from functools import lru_cache
from pathlib import Path
from typing import Any
from validate_knowledge import ( # type: ignore
SCOPE_FIELDS,
infer_project_root,
load_yaml,
stable_ref,
validate_builtin_structure,
validate_semantics,
)
DEFAULT_LIMIT = 10
MAX_LIMIT = 100
def _path_glob_matches(value: str, pattern: str) -> bool:
"""路径 glob* 只匹配单段,只有完整的 ** 段可以跨越 /。"""
value_parts = tuple(value.split("/"))
pattern_parts = tuple(pattern.split("/"))
@lru_cache(maxsize=None)
def match(pattern_index: int, value_index: int) -> bool:
if pattern_index == len(pattern_parts):
return value_index == len(value_parts)
pattern_part = pattern_parts[pattern_index]
if pattern_part == "**":
return match(pattern_index + 1, value_index) or (
value_index < len(value_parts)
and match(pattern_index, value_index + 1)
)
return (
value_index < len(value_parts)
and fnmatch.fnmatchcase(value_parts[value_index], pattern_part)
and match(pattern_index + 1, value_index + 1)
)
return match(0, 0)
def scope_matches(
scope: dict[str, Any], context: dict[str, list[str]]
) -> bool:
if scope.get("all") is True:
return True
constrained = False
for field in SCOPE_FIELDS:
patterns = scope.get(field)
if not isinstance(patterns, list) or not patterns:
continue
constrained = True
values = context.get(field, [])
matcher = _path_glob_matches if field == "paths" else fnmatch.fnmatchcase
if not values or not any(
matcher(value, pattern)
for pattern in patterns
if isinstance(pattern, str)
for value in values
):
return False
return constrained
def _pattern_specificity(pattern: str) -> tuple[int, int, int, int, int]:
wildcard_count = sum(pattern.count(char) for char in ("*", "?", "["))
double_star_count = sum(1 for part in pattern.split("/") if part == "**")
literal_count = sum(char not in "*?[]!" for char in pattern)
exact = int(wildcard_count == 0)
depth = len(pattern.split("/"))
return (exact, literal_count, -double_star_count, -wildcard_count, depth)
def _specificity(entry: dict[str, Any]) -> tuple[int, int, int, int, int, int, int]:
scope = entry.get("scope")
if not isinstance(scope, dict) or scope.get("all") is True:
return (0, 0, 0, 0, 0, 0, 0)
populated = 0
exact = 0
literal = 0
double_star = 0
wildcard = 0
depth = 0
extra_or_patterns = 0
for field in SCOPE_FIELDS:
values = scope.get(field)
if isinstance(values, list) and values:
populated += 1
scores = [
_pattern_specificity(value)
for value in values
if isinstance(value, str)
]
if scores:
dimension_score = min(scores)
exact += dimension_score[0]
literal += dimension_score[1]
double_star += dimension_score[2]
wildcard += dimension_score[3]
depth += dimension_score[4]
extra_or_patterns += len(scores) - 1
return (
populated,
exact,
literal,
double_star,
wildcard,
depth,
-extra_or_patterns,
)
def select_entries(
data: dict[str, Any],
context: dict[str, list[str]],
*,
limit: int = DEFAULT_LIMIT,
) -> list[dict[str, Any]]:
if isinstance(limit, bool) or not isinstance(limit, int) or not 1 <= limit <= MAX_LIMIT:
raise ValueError(f"limit 必须在 1..{MAX_LIMIT} 之间")
entries = data.get("entries")
if not isinstance(entries, list):
return []
matched = [
entry
for entry in entries
if isinstance(entry, dict)
and entry.get("status") == "active"
and isinstance(entry.get("scope"), dict)
and scope_matches(entry["scope"], context)
and stable_ref(entry) is not None
]
global_entries = [
entry
for entry in matched
if isinstance(entry.get("scope"), dict)
and entry["scope"].get("all") is True
]
scoped_entries = [entry for entry in matched if entry not in global_entries]
global_entries.sort(key=lambda entry: stable_ref(entry) or "")
if len(global_entries) > limit:
raise ValueError(
f"命中的全项目知识有 {len(global_entries)} 条,超过 --limit={limit}"
"提高 limit 后重试,不能静默丢弃全项目护栏"
)
scoped_entries.sort(
key=lambda entry: (
*(-part for part in _specificity(entry)),
stable_ref(entry) or "",
)
)
return [
*global_entries,
*scoped_entries[: limit - len(global_entries)],
]
def _parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(description="选择当前任务适用的 active ACK 知识")
parser.add_argument(
"knowledge", nargs="?", default="knowledge.yaml", help="知识库路径"
)
parser.add_argument("--component", action="append", default=[])
parser.add_argument("--path", action="append", default=[])
parser.add_argument("--dependency", action="append", default=[])
parser.add_argument("--version", action="append", default=[])
parser.add_argument("--tag", action="append", default=[])
parser.add_argument("--symbol", action="append", default=[])
parser.add_argument("--error-signature", action="append", default=[])
parser.add_argument("--limit", type=int, default=DEFAULT_LIMIT)
parser.add_argument(
"--project-root",
help="可选项目根目录,用于 verificationRegistry symlink containment 校验",
)
parser.add_argument(
"--format", choices=("json", "refs"), default="json", dest="output_format"
)
return parser
def main(argv: list[str] | None = None) -> int:
args = _parser().parse_args(argv)
knowledge_path = Path(args.knowledge)
if not knowledge_path.is_file():
sys.stderr.write(f"找不到知识库文件: {knowledge_path}\n")
return 2
if not 1 <= args.limit <= MAX_LIMIT:
sys.stderr.write(f"--limit 必须在 1..{MAX_LIMIT} 之间\n")
return 2
if args.project_root:
project_root = Path(args.project_root).expanduser()
if not project_root.is_dir():
sys.stderr.write(f"项目根目录不存在: {project_root}\n")
return 2
project_root = project_root.resolve()
else:
project_root = infer_project_root(knowledge_path)
data = load_yaml(knowledge_path, "知识库")
errors = validate_builtin_structure(data)
errors.extend(validate_semantics(data, project_root=project_root))
registry = data.get("verificationRegistry")
if project_root is None and isinstance(registry, dict) and registry:
errors.append(
"verificationRegistry 非空但无法确定项目根目录;请传入 --project-root"
)
errors = list(dict.fromkeys(errors))
if errors:
sys.stderr.write(f"知识库无效,拒绝选择,共 {len(errors)} 项:\n")
for error in errors:
sys.stderr.write(f" - {error}\n")
return 1
context = {
"components": args.component,
"paths": args.path,
"dependencies": args.dependency,
"versions": args.version,
"tags": args.tag,
"symbols": args.symbol,
"errorSignatures": args.error_signature,
}
try:
selected = select_entries(data, context, limit=args.limit)
except ValueError as exc:
sys.stderr.write(f"知识选择失败: {exc}\n")
return 1
refs = [stable_ref(entry) for entry in selected]
if args.output_format == "refs":
if refs:
sys.stdout.write("\n".join(ref for ref in refs if ref) + "\n")
return 0
payload = {
"count": len(selected),
"limit": args.limit,
"refs": refs,
"entries": [
{
"ref": stable_ref(entry),
**entry,
"verificationTarget": (
data.get("verificationRegistry", {}).get(
entry.get("verification", {}).get("ref")
)
if isinstance(data.get("verificationRegistry"), dict)
and isinstance(entry.get("verification"), dict)
else None
),
}
for entry in selected
],
}
sys.stdout.write(json.dumps(payload, ensure_ascii=False, indent=2) + "\n")
return 0
if __name__ == "__main__":
raise SystemExit(main())