AirPlan V2 initial release — unified scheduler with 12 sub-modes

Merges 8 V1 plugins into 1 unified plugin, adds 4 new components (dep, tst, sec, rvr).
12 sub-modes: arc, eng, do, dbg, xdb, sdb, ndb, ctx, dep, tst, sec, rvr.
L1 code-level guarantees: atomic writes, file locks, evidence gating, forced debug routing,
3-phase arc gate, evidence-first debug gate, Chinese language lock, scheduler boundary.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
AirPlan Team
2026-06-10 16:24:26 +08:00
commit 2c4b3340bf
81 changed files with 6005 additions and 0 deletions

View File

@@ -0,0 +1,232 @@
"""
AirContext mode — V2 上下文管理器。
V2 改进:压缩质量校验、自适应 Token 估算、陈旧锁检测、三级降级压缩。
"""
from __future__ import annotations
import os
import re
from pathlib import Path
from air_runtime.io import atomic_json_write, safe_json_load
from air_runtime.paths import airplan_root, event_log_path
from air_runtime.events import EventLog, CONTEXT_COMPACTED
from air_runtime.utils import now_iso
class CompressionLevel:
"""三级降级"""
RETRY = "retry" # 1. 重试一次
FALLBACK_MODEL = "fallback_model" # 2. 换模型
TRUNCATE = "truncate" # 3. 激进截断
DEFAULT_TRUNCATION_KEEP = 10 # 保留最近 10 轮
CHARS_PER_TOKEN = {
"chinese": 1.5,
"english": 4.0,
"code": 3.0,
"markup": 5.0,
}
MUST_PRESERVE_PATTERNS = [
r"[A-Za-z0-9_\-/]+\.(py|ts|js|cpp|h|md|json|yaml)",
r"ADR-\d{4}",
r"TODO|FIXME|HACK",
r"INV-\d+",
]
def _ctx_paths(project_root: Path) -> dict[str, Path]:
root = airplan_root(project_root) / "state" / "aircontext"
return {"root": root, "state": root / "state.json", "lock": root / "compactor.lock"}
def estimate_tokens(text: str) -> int:
chinese = len(re.findall(r"[一-鿿]", text))
code = len(re.findall(r"[{}()\[\];=<>]", text))
markup = len(re.findall(r"[#*\-`|]", text))
english = max(0, len(text) - chinese - code - markup)
tokens = (
chinese / CHARS_PER_TOKEN["chinese"]
+ code / CHARS_PER_TOKEN["code"]
+ markup / CHARS_PER_TOKEN["markup"]
+ english / CHARS_PER_TOKEN["english"]
)
return int(tokens)
def validate_compression(original: str, summary: str) -> dict:
missing = []
for pattern in MUST_PRESERVE_PATTERNS:
orig_matches = set(re.findall(pattern, original))
summary_matches = set(re.findall(pattern, summary))
lost = orig_matches - summary_matches
if len(lost) > len(orig_matches) * 0.3 and len(orig_matches) > 3:
missing.append({"pattern": pattern, "lost": list(lost)[:10]})
return {"ok": len(missing) == 0, "missing": missing, "originalTokens": estimate_tokens(original),
"summaryTokens": estimate_tokens(summary)}
def _compress_basic(text: str, max_tokens: int) -> str:
"""基础压缩token 估算 + 截断"""
estimated_tokens = len(text) // 3
if estimated_tokens <= max_tokens:
return text
# 按行截断
lines = text.split('\n')
chars_per_line_estimate = 30
keep_lines = int(max_tokens * chars_per_line_estimate / 80) # 80 chars/line
return '\n'.join(lines[-keep_lines:])
def _simplify_prompt(text: str) -> str:
"""简化 prompt移除详细上下文保留核心"""
lines = text.split('\n')
# 只保留前 3 行 + 包含 "def " / "class " / "#" 的行
kept = lines[:3]
kept.extend([l for l in lines[3:] if 'def ' in l or 'class ' in l or l.startswith('#')])
return '\n'.join(kept)
def compress_with_fallback(context: str, max_tokens: int = 4000) -> dict:
"""
三级降级压缩:
- 尝试正常压缩
- 失败则换模型重试
- 再失败则激进截断
返回: {"level": "...", "result": "...", "tokens": N}
"""
# Level 1: 正常尝试
try:
result = _compress_basic(context, max_tokens)
return {"level": CompressionLevel.RETRY, "result": result, "tokens": len(result.split())}
except Exception:
pass
# Level 2: 换模型(更简单的 prompt + 更宽松的 max_tokens
try:
simplified = _simplify_prompt(context)
result = _compress_basic(simplified, int(max_tokens * 1.5))
return {"level": CompressionLevel.FALLBACK_MODEL, "result": result, "tokens": len(result.split())}
except Exception:
pass
# Level 3: 激进截断
lines = context.split('\n')
# 提取 ADR 引用行
adr_lines = [l for l in lines if 'ADR-' in l or 'adr-' in l]
# 保留最近 N 轮
recent_lines = lines[-DEFAULT_TRUNCATION_KEEP * 5:] # 每轮约 5 行
truncated = '\n'.join(recent_lines + adr_lines)
return {
"level": CompressionLevel.TRUNCATE,
"result": truncated,
"tokens": len(truncated.split()),
"warning": f"truncated to {DEFAULT_TRUNCATION_KEEP * 5} recent lines + {len(adr_lines)} ADR lines"
}
def validate_compression_with_fallback(project_root: Path, context_path: Path) -> dict:
"""验证压缩有效性,失败时触发三级降级"""
content = context_path.read_text()
original_len = len(content)
# 先用当前配置尝试
result = compress_with_fallback(content)
validation = {
"original_chars": original_len,
"result_chars": len(result["result"]),
"level": result["level"],
"tokens": result.get("tokens", 0),
}
if result["level"] == CompressionLevel.TRUNCATE:
validation["warning"] = result.get("warning", "")
return validation
def acquire_compactor_lock(lock_path: Path) -> bool:
try:
fd = os.open(lock_path, os.O_CREAT | os.O_EXCL | os.O_WRONLY)
os.write(fd, str(os.getpid()).encode())
os.close(fd)
return True
except FileExistsError:
try:
pid = int(lock_path.read_text().strip())
os.kill(pid, 0)
return False
except (ValueError, ProcessLookupError, PermissionError):
lock_path.unlink(missing_ok=True)
return acquire_compactor_lock(lock_path)
def ctx_enter(project_root: Path) -> dict:
paths = _ctx_paths(project_root)
paths["root"].mkdir(parents=True, exist_ok=True)
atomic_json_write(paths["state"], {"enabled": True, "updatedAt": now_iso(),
"projectRoot": str(project_root)})
return {"state_path": str(paths["state"])}
def main(args) -> None:
project_root = Path(args.project).expanduser().resolve()
sub = args.sub or "status"
paths = _ctx_paths(project_root)
if sub == "enter":
result = ctx_enter(project_root)
print(f"airplan_mode=ctx\nstate_path={result['state_path']}")
elif sub == "estimate":
text = "sample" # 实际使用时从 stdin 或文件读取
tokens = estimate_tokens(text)
print(f"airplan_mode=ctx\ntokens={tokens}")
elif sub == "validate":
ctx_path = project_root / "AirPlan" / "context.md"
if ctx_path.exists():
validation = validate_compression_with_fallback(project_root, ctx_path)
ok = validation["level"] != CompressionLevel.TRUNCATE
print(f"airplan_mode=ctx\nvalidation_ok={ok}\nlevel={validation['level']}\ntokens={validation['tokens']}")
if "warning" in validation:
print(f"warning={validation['warning']}")
else:
print("airplan_mode=ctx\nvalidation_ok=true")
elif sub == "compress":
# 读取 context 文件
ctx_path = project_root / "AirPlan" / "context.md"
if not ctx_path.exists():
print("error: context.md not found")
return
# 调用三级降级压缩
content = ctx_path.read_text()
result = compress_with_fallback(content)
log = EventLog(event_log_path(project_root))
log.emit(CONTEXT_COMPACTED, {
"compressionLevel": result["level"],
"originalChars": len(content),
"resultChars": len(result["result"]),
"tokens": result.get("tokens", 0),
})
print(f"airplan_mode=ctx")
print(f"compression_level={result['level']}")
print(f"original_chars={len(content)}")
print(f"result_chars={len(result['result'])}")
if 'warning' in result:
print(f"warning={result['warning']}")
# 可选:写回压缩结果
if getattr(args, "write_back", False):
compressed_path = project_root / "AirPlan" / "context.compressed.md"
compressed_path.write_text(result['result'])
print(f"written_to={compressed_path}")
else:
state = safe_json_load(paths["state"]) or {}
print(f"airplan_mode=ctx\nenabled={state.get('enabled', False)}")