585 lines
23 KiB
Python
585 lines
23 KiB
Python
"""`/continue` command: list & restore past model_responses sessions.
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Pure functions + one `install(cls)` monkey-patch entry. No side effects at import.
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"""
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import ast, glob, json, os, re, time
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_LOG_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))),
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'temp', 'model_responses')
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_LOG_GLOB = os.path.join(_LOG_DIR, 'model_responses_*.txt')
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_BLOCK_RE = re.compile(r'^=== (Prompt|Response) ===.*?\n(.*?)(?=^=== (?:Prompt|Response) ===|\Z)',
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re.DOTALL | re.MULTILINE)
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_SUMMARY_RE = re.compile(r'<summary>\s*(.*?)\s*</summary>', re.DOTALL)
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_ROUND_HEADER_RE = re.compile(rb'^=== (Prompt|Response) ===', re.MULTILINE)
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_ROUNDS_CACHE_PATH = os.path.join(os.path.expanduser('~'), '.genericagent', 'continue_rounds_cache.json')
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_ROUNDS_CACHE_VERSION = 1
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_rounds_cache = None
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_rounds_cache_dirty = False
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def _rel_time(mtime):
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d = int(time.time() - mtime)
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if d < 60: return f'{d}秒前'
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if d < 3600: return f'{d // 60}分前'
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if d < 86400: return f'{d // 3600}小时前'
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return f'{d // 86400}天前'
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def _pairs(content):
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blocks, pairs, pending = _BLOCK_RE.findall(content or ''), [], None
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for label, body in blocks:
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if label == 'Prompt': pending = body.strip()
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elif pending is not None:
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pairs.append((pending, body.strip())); pending = None
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return pairs
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def _first_user(pairs):
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for p, _ in pairs:
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try: msg = json.loads(p)
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except Exception: continue
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if not isinstance(msg, dict): continue
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for blk in msg.get('content', []) or []:
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if isinstance(blk, dict) and blk.get('type') == 'text':
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t = (blk.get('text') or '').strip()
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if t and '<history>' not in t and not t.startswith('### [WORKING MEMORY]'):
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return t
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for p, _ in pairs[:1]:
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for line in p.splitlines():
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s = line.strip()
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if s and not s.startswith('###'): return s
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return ''
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def _last_summary(pairs):
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for _, response_body in reversed(pairs):
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try:
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blocks = ast.literal_eval(response_body)
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except Exception:
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continue
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if not isinstance(blocks, list):
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continue
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text_parts = []
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for block in blocks:
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if isinstance(block, dict) and block.get('type') == 'text':
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text = block.get('text', '')
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if isinstance(text, str) and text:
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text_parts.append(text)
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match = _SUMMARY_RE.search('\n'.join(text_parts))
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if match:
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summary = match.group(1).strip()
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if summary:
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return summary
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return ''
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def _preview_text(pairs):
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return _last_summary(pairs) or _first_user(pairs)
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def _recent_context(my_pid, n=5):
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"""扫描最近 n 个 model_response 文件（排除自身），提取 lastQ / lastA。"""
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out = []
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for f in sorted(glob.glob(_LOG_GLOB), key=os.path.getmtime, reverse=True):
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m = re.search(r'model_responses_(\d+)', os.path.basename(f))
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if not m or m.group(1) == str(my_pid): continue
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try: c = open(f, encoding='utf-8', errors='ignore').read()
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except Exception: continue
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q = s = ""
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for hm in re.finditer(r'<history>(.*?)</history>', c, re.DOTALL):
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u = re.search(r'\[USER\]:\s*(.+?)(?:\\n|<)', hm.group(1))
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if u: q = u.group(1)
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sm = _SUMMARY_RE.search(c)
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if sm: s = sm.group(1).strip()
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q, s = q[:60].strip(), s[:60].replace('\n', ' ').strip()
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out.append(f'· {m.group(1)} | lastQ: {q or "-"} | lastA: {s or "-"}')
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if len(out) >= n: break
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return ('[RecentContext] 近期并行会话（非当前）:\n' + '\n'.join(out) + '\n[/RecentContext]') if out else ""
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def _parse_native_history(pairs):
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history = []
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for p, r in pairs:
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try: user_msg = json.loads(p)
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except Exception: return None
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try: blocks = ast.literal_eval(r)
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except Exception: return None
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if not (isinstance(user_msg, dict) and user_msg.get('role') == 'user'): return None
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if not isinstance(blocks, list): return None
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history.append(user_msg)
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history.append({'role': 'assistant', 'content': blocks})
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return history
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_PREVIEW_WIN = 32 * 1024
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# Content-grep budget for `/continue` search box: read at most this many bytes
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# per session (head window) so 17MB files don't stall the UI. Empirically the
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# user-typed prompt + first model reply + early summaries live in the first MB,
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# which is what users actually want to recall sessions by.
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_GREP_WIN = 1 * 1024 * 1024
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def file_contains_all(path, terms, max_bytes=_GREP_WIN):
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"""True iff every lowercase term in `terms` appears in the first
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`max_bytes` of `path` (case-insensitive). Empty `terms` returns True so
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callers can short-circuit. Reads as bytes + .lower() to avoid utf-8 cost
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and stays within a fixed memory envelope regardless of file size.
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"""
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if not terms:
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return True
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try:
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with open(path, 'rb') as fh:
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buf = fh.read(max_bytes)
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except OSError:
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return False
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if not buf:
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return False
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hay = buf.lower()
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for t in terms:
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if t and t.encode('utf-8', errors='ignore') not in hay:
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return False
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return True
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def search_sessions(query, sessions, max_bytes=_GREP_WIN):
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"""Filter `sessions` ([(path, mtime, preview, n), ...]) by content grep.
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`query` is whitespace-split into AND terms (case-insensitive). Each
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session is kept iff its path/preview already match OR the first
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`max_bytes` of its file contain every term. Order is preserved.
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Empty/whitespace query returns the list as-is.
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"""
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q = (query or '').strip().lower()
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if not q:
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return list(sessions or [])
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terms = [t for t in q.split() if t]
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if not terms:
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return list(sessions or [])
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out = []
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for item in sessions or []:
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path = item[0] if len(item) > 0 else ''
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preview = item[2] if len(item) > 2 else ''
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meta = (os.path.basename(path) + '\n' + (preview or '')).lower()
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if all(t in meta for t in terms):
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out.append(item)
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continue
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if file_contains_all(path, terms, max_bytes=max_bytes):
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out.append(item)
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return out
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def _preview_from_file(path):
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"""Cheap preview: last <summary> in tail window, else first user line in head window."""
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try:
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sz = os.path.getsize(path)
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with open(path, 'rb') as fh:
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if sz <= _PREVIEW_WIN * 2:
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head = tail = fh.read()
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else:
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head = fh.read(_PREVIEW_WIN)
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fh.seek(-_PREVIEW_WIN, 2); tail = fh.read()
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except OSError: return ''
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tail_s = tail.decode('utf-8', errors='replace')
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m = _SUMMARY_RE.findall(tail_s)
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if m: return m[-1].strip()
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for line in head.decode('utf-8', errors='replace').splitlines():
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s = line.strip()
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if s and not s.startswith('===') and not s.startswith('###') and '<history>' not in s:
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return s
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return ''
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def _rounds_cache_key(path):
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return os.path.normcase(os.path.abspath(path))
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def _load_rounds_cache():
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"""Load lazy mtime/size keyed round-count cache for /continue.
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Cache is intentionally triggered only by list_sessions(): no TUI startup cost,
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no logging-path coupling. Missing/stale entries are recomputed on demand.
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"""
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global _rounds_cache
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if _rounds_cache is not None:
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return _rounds_cache
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_rounds_cache = {}
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try:
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with open(_ROUNDS_CACHE_PATH, encoding='utf-8') as fh:
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data = json.load(fh)
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if isinstance(data, dict) and data.get('version') == _ROUNDS_CACHE_VERSION:
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items = data.get('items')
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if isinstance(items, dict):
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_rounds_cache = items
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except Exception:
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_rounds_cache = {}
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return _rounds_cache
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def _save_rounds_cache(valid_keys=None):
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global _rounds_cache_dirty
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if not _rounds_cache_dirty or _rounds_cache is None:
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return
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try:
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if valid_keys is not None:
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keep = set(valid_keys)
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for k in list(_rounds_cache.keys()):
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if k not in keep:
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_rounds_cache.pop(k, None)
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os.makedirs(os.path.dirname(_ROUNDS_CACHE_PATH), exist_ok=True)
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tmp = _ROUNDS_CACHE_PATH + '.tmp'
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data = {'version': _ROUNDS_CACHE_VERSION, 'items': _rounds_cache}
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with open(tmp, 'w', encoding='utf-8') as fh:
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json.dump(data, fh, ensure_ascii=False, separators=(',', ':'))
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os.replace(tmp, _ROUNDS_CACHE_PATH)
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_rounds_cache_dirty = False
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except Exception:
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# Cache is a performance hint only; never break /continue on cache I/O.
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pass
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def _count_complete_rounds_from_file(path):
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"""Count completed Prompt→Response pairs using only block headers.
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Counting Prompt headers alone overcounts an in-flight/incomplete last round.
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Header-pair counting matched `_pairs()` on sampled real logs while avoiding
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expensive UTF-8 decode / body regex parsing.
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"""
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try:
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with open(path, 'rb') as fh:
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data = fh.read()
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except OSError:
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return 0
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pending = False
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rounds = 0
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for m in _ROUND_HEADER_RE.finditer(data):
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if m.group(1) == b'Prompt':
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pending = True
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elif pending:
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rounds += 1
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pending = False
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return rounds
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def _rounds_for_file(path, st):
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global _rounds_cache_dirty
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cache = _load_rounds_cache()
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key = _rounds_cache_key(path)
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size = int(getattr(st, 'st_size', 0))
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mtime_ns = int(getattr(st, 'st_mtime_ns', int(getattr(st, 'st_mtime', 0) * 1_000_000_000)))
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ent = cache.get(key)
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if isinstance(ent, dict) and ent.get('size') == size and ent.get('mtime_ns') == mtime_ns:
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try:
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return int(ent.get('rounds', 0)), key
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except Exception:
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pass
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n = _count_complete_rounds_from_file(path)
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cache[key] = {'size': size, 'mtime_ns': mtime_ns, 'rounds': int(n)}
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_rounds_cache_dirty = True
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return n, key
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def list_sessions(exclude_pid=None):
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"""Newest-first list of (path, mtime, preview_text, n_rounds). Preview uses head/tail window only."""
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files = glob.glob(_LOG_GLOB)
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if exclude_pid is not None:
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tag = f'model_responses_{exclude_pid}.txt'
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files = [f for f in files if not f.endswith(tag)]
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out = []
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valid_keys = []
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for f in files:
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try:
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st = os.stat(f)
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mtime, sz = st.st_mtime, st.st_size
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except OSError:
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continue
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if sz < 32:
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continue
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preview = _preview_from_file(f)
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if not preview:
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continue
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rounds, key = _rounds_for_file(f, st)
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valid_keys.append(key)
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out.append((f, mtime, preview, rounds))
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_save_rounds_cache(valid_keys)
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out.sort(key=lambda x: x[1], reverse=True)
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return out
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_MD_ESCAPE_RE = re.compile(r'([\\`*_\[\]])')
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def _escape_md(s): return _MD_ESCAPE_RE.sub(r'\\\1', s)
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def _agent_clients(agent):
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clients = []
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for client in getattr(agent, 'llmclients', []) or []:
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if client not in clients:
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clients.append(client)
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current = getattr(agent, 'llmclient', None)
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if current is not None and current not in clients:
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clients.insert(0, current)
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return clients
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def _replace_backend_history(agent, history):
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backend = getattr(getattr(agent, 'llmclient', None), 'backend', None)
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if backend is not None and hasattr(backend, 'history'):
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backend.history = list(history or [])
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def _current_log_path(pid=None):
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pid = os.getpid() if pid is None else pid
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return os.path.join(_LOG_DIR, f'model_responses_{pid}.txt')
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def _snapshot_current_log(pid=None):
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"""Persist current PID log as a standalone recoverable snapshot, then clear it."""
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path = _current_log_path(pid)
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if not os.path.isfile(path):
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return None
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try:
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with open(path, encoding='utf-8', errors='replace') as fh:
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content = fh.read()
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except Exception:
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return None
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if not _pairs(content):
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return None
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os.makedirs(_LOG_DIR, exist_ok=True)
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pid = os.getpid() if pid is None else pid
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stamp = time.strftime('%Y%m%d_%H%M%S')
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snapshot = os.path.join(_LOG_DIR, f'model_responses_snapshot_{pid}_{stamp}_{time.time_ns() % 1_000_000_000:09d}.txt')
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with open(snapshot, 'w', encoding='utf-8', errors='replace') as fh:
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fh.write(content)
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with open(path, 'w', encoding='utf-8', errors='replace'):
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pass
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return snapshot
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def reset_conversation(agent, message='🆕 已开启新对话，当前上下文已清空'):
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"""Abort current work and clear all known frontend-visible conversation state."""
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try:
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agent.abort()
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except Exception:
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pass
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_snapshot_current_log()
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if hasattr(agent, 'history'):
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agent.history = []
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for client in _agent_clients(agent):
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backend = getattr(client, 'backend', None)
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if backend is not None and hasattr(backend, 'history'):
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backend.history = []
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if hasattr(client, 'last_tools'):
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client.last_tools = ''
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if hasattr(agent, 'handler'):
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agent.handler = None
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return message
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def format_list(sessions, limit=20):
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if not sessions: return '❌ 没有可恢复的历史会话'
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lines = ['**可恢复会话**（输入 `/continue N` 恢复第 N 个）：', '']
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for i, (_, mtime, first, n) in enumerate(sessions[:limit], 1):
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preview = _escape_md((first or '（无法预览）').replace('\n', ' ')[:60])
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lines.append(f'{i}. `{_rel_time(mtime)}` · **{n} 轮** · {preview}')
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return '\n'.join(lines)
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def restore(agent, path):
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"""Restore session at path. Returns (msg, is_full)."""
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try:
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with open(path, encoding='utf-8', errors='replace') as fh:
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content = fh.read()
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except Exception as e: return f'❌ 读取失败: {e}', False
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pairs = _pairs(content)
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if not pairs: return f'❌ {os.path.basename(path)} 为空或格式不符', False
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history = _parse_native_history(pairs)
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name = os.path.basename(path)
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if history is not None:
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agent.abort()
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_replace_backend_history(agent, history)
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return f'✅ 已恢复 {len(pairs)} 轮完整对话（{name}）\n(已写入 backend.history，可直接继续)', True
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from chatapp_common import _restore_native_history, _restore_text_pairs
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summary = _restore_text_pairs(content) or _restore_native_history(content)
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if not summary: return f'❌ {name} 无法解析（非 native 且无摘要可提取）', False
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agent.abort()
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agent.history.extend(summary)
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n = sum(1 for l in summary if l.startswith('[USER]: '))
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return f'⚠️ 非 native 格式，已降级恢复 {n} 轮摘要（{name}）\n(请输入新问题继续)', False
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def handle(agent, query, display_queue):
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"""Dispatch /continue or /continue N. Returns None if consumed else original query."""
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s = (query or '').strip()
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if s == '/continue':
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display_queue.put({'done': format_list(list_sessions(exclude_pid=os.getpid())), 'source': 'system'})
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return None
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m = re.match(r'/continue\s+(\d+)\s*$', s)
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if m:
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sessions = list_sessions(exclude_pid=os.getpid())
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idx = int(m.group(1)) - 1
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if not (0 <= idx < len(sessions)):
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display_queue.put({'done': f'❌ 索引越界（有效范围 1-{len(sessions)}）', 'source': 'system'})
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return None
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reset_conversation(agent, message=None)
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msg, _ = restore(agent, sessions[idx][0])
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display_queue.put({'done': msg, 'source': 'system'})
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return None
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return query
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_INJECT_MARKERS = ('### [WORKING MEMORY]', '[SYSTEM TIPS]', '[SYSTEM]', '[System]',
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'[DANGER]', '### [总结提炼经验]')
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def _user_text(prompt_body):
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"""User-typed text from a prompt JSON; '' if this is an agent auto-continuation.
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A Prompt is auto-continue when *either* (a) it carries any tool_result block
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(so it's the next round of an in-flight LLM call), or (b) its text blocks all
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match known injection prefixes ([WORKING MEMORY], [SYSTEM TIPS], [System]
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regenerate prompts, [DANGER] guards, etc.). Real first-prompts only contain
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one plain text block with no injection markers.
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"""
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try: msg = json.loads(prompt_body)
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except Exception: return ''
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if not isinstance(msg, dict): return ''
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blocks = msg.get('content', []) or []
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if any(isinstance(b, dict) and b.get('type') == 'tool_result' for b in blocks):
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return ''
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for blk in blocks:
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if isinstance(blk, dict) and blk.get('type') == 'text':
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t = (blk.get('text') or '').strip()
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if t and not any(mk in t for mk in _INJECT_MARKERS): return t
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||
return ''
|
||
|
||
|
||
def _assistant_text(response_body):
|
||
"""Joined plain text from a response blocks repr; '' on parse failure.
|
||
Used by /export to grab the model's prose only, without tool noise.
|
||
"""
|
||
try: blocks = ast.literal_eval(response_body)
|
||
except Exception: return ''
|
||
if not isinstance(blocks, list): return ''
|
||
return '\n'.join(b['text'] for b in blocks
|
||
if isinstance(b, dict) and b.get('type') == 'text'
|
||
and isinstance(b.get('text'), str) and b['text'].strip())
|
||
|
||
|
||
def _format_tool_use(block):
|
||
"""Match agent_loop.py:72 verbose tool-call header."""
|
||
name = block.get('name', '?')
|
||
args = block.get('input', {})
|
||
try: pretty = json.dumps(args, indent=2, ensure_ascii=False).replace('\\n', '\n')
|
||
except Exception: pretty = str(args)
|
||
return f"🛠️ Tool: `{name}` 📥 args:\n````text\n{pretty}\n````\n"
|
||
|
||
|
||
def _format_tool_result(content):
|
||
"""Match agent_loop.py:79-81 five-backtick fence around tool output."""
|
||
if isinstance(content, list):
|
||
parts = []
|
||
for b in content:
|
||
if isinstance(b, dict) and b.get('type') == 'text':
|
||
parts.append(b.get('text', '') or '')
|
||
elif isinstance(b, str):
|
||
parts.append(b)
|
||
body = '\n'.join(parts)
|
||
else:
|
||
body = '' if content is None else str(content)
|
||
return f"`````\n{body}\n`````\n"
|
||
|
||
|
||
def _tool_results_from_prompt(prompt_body):
|
||
"""Return {tool_use_id: formatted_fence} from a Prompt JSON's content blocks."""
|
||
try: msg = json.loads(prompt_body)
|
||
except Exception: return {}
|
||
if not isinstance(msg, dict): return {}
|
||
out = {}
|
||
for blk in msg.get('content', []) or []:
|
||
if isinstance(blk, dict) and blk.get('type') == 'tool_result':
|
||
tid = blk.get('tool_use_id') or ''
|
||
if tid: out[tid] = _format_tool_result(blk.get('content'))
|
||
return out
|
||
|
||
|
||
def _format_response_segment(response_body, tool_results):
|
||
"""Rebuild one LLM call's transcript slice: text blocks + tool_use headers +
|
||
matching tool_result fences. Mirrors agent_loop verbose output so fold_turns
|
||
sees the same string shape as live mode.
|
||
"""
|
||
try: blocks = ast.literal_eval(response_body)
|
||
except Exception: return ''
|
||
if not isinstance(blocks, list): return ''
|
||
texts, tool_parts = [], []
|
||
for b in blocks:
|
||
if not isinstance(b, dict): continue
|
||
t = b.get('type')
|
||
if t == 'text':
|
||
s = b.get('text', '')
|
||
if isinstance(s, str) and s.strip(): texts.append(s)
|
||
elif t == 'tool_use':
|
||
tool_parts.append(_format_tool_use(b))
|
||
tid = b.get('id') or ''
|
||
if tid and tid in tool_results: tool_parts.append(tool_results[tid])
|
||
return '\n\n'.join(p for p in ['\n\n'.join(texts), '\n'.join(tool_parts)] if p)
|
||
|
||
|
||
def extract_ui_messages(path):
|
||
"""Parse a model_responses log into [{role, content}, ...] for UI replay.
|
||
|
||
Each user-initiated round becomes one user bubble plus one assistant bubble.
|
||
Auto-continuation LLM calls are concatenated into the same assistant bubble,
|
||
separated by ``**LLM Running (Turn N) ...**`` markers. Tool calls and their
|
||
results are rendered into the assistant content using the same string format
|
||
that agent_loop yields live, so fold_turns can fold them identically.
|
||
"""
|
||
try:
|
||
with open(path, encoding='utf-8', errors='replace') as f: content = f.read()
|
||
except Exception: return []
|
||
pairs = _pairs(content)
|
||
if not pairs: return []
|
||
# tool_results live in the *next* Prompt's content; index look-ahead.
|
||
next_tr = [{} for _ in pairs]
|
||
for i in range(len(pairs) - 1):
|
||
next_tr[i] = _tool_results_from_prompt(pairs[i + 1][0])
|
||
|
||
out, assistant, round_turn = [], None, 0
|
||
for i, (prompt, response) in enumerate(pairs):
|
||
user = _user_text(prompt)
|
||
seg = _format_response_segment(response, next_tr[i])
|
||
if user:
|
||
if assistant is not None: out.append(assistant)
|
||
out.append({'role': 'user', 'content': user})
|
||
# Turn 1 marker too — agent_loop yields one per LLM call, including the
|
||
# first, so fold_turns treats every non-last call uniformly as a fold.
|
||
assistant = {'role': 'assistant',
|
||
'content': f"\n\n**LLM Running (Turn 1) ...**\n\n{seg}"}
|
||
round_turn = 1
|
||
else:
|
||
if assistant is None:
|
||
assistant = {'role': 'assistant', 'content': ''}
|
||
round_turn = 1
|
||
round_turn += 1
|
||
marker = f"\n\n**LLM Running (Turn {round_turn}) ...**\n\n"
|
||
assistant['content'] = (assistant['content'] or '') + marker + seg
|
||
if assistant is not None: out.append(assistant)
|
||
return [m for m in out if (m.get('content') or '').strip()]
|
||
|
||
|
||
def handle_frontend_command(agent, query, exclude_pid=None):
|
||
"""Frontend-friendly /continue entry that returns text directly."""
|
||
s = (query or '').strip()
|
||
exclude_pid = os.getpid() if exclude_pid is None else exclude_pid
|
||
if s == '/continue':
|
||
return format_list(list_sessions(exclude_pid=exclude_pid))
|
||
m = re.match(r'/continue\s+(\d+)\s*$', s)
|
||
if not m:
|
||
return '用法: /continue 或 /continue N'
|
||
sessions = list_sessions(exclude_pid=exclude_pid)
|
||
idx = int(m.group(1)) - 1
|
||
if not (0 <= idx < len(sessions)):
|
||
return f'❌ 索引越界（有效范围 1-{len(sessions)}）'
|
||
reset_conversation(agent, message=None)
|
||
msg, _ = restore(agent, sessions[idx][0])
|
||
return msg
|
||
|
||
|
||
def install(cls):
|
||
"""Wrap cls._handle_slash_cmd so /continue is handled before original dispatch."""
|
||
orig = cls._handle_slash_cmd
|
||
if getattr(orig, '_continue_patched', False): return
|
||
def patched(self, raw_query, display_queue):
|
||
if (raw_query or '').startswith('/continue'):
|
||
r = handle(self, raw_query, display_queue)
|
||
if r is None: return None
|
||
return orig(self, raw_query, display_queue)
|
||
patched._continue_patched = True
|
||
cls._handle_slash_cmd = patched
|