346 lines
14 KiB
Python
346 lines
14 KiB
Python
"""Plan / todo state — pure stdlib, no UI framework dependency.
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API:
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extract(text) → [(content, "open"|"done"), …]
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is_active(agent, messages=None) → plan mode on (stash OR per-session msg ref)
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resolve_path(agent, messages=None) → live plan.md path (or None)
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find_path_in_messages(messages) → most recent plan.md path mentioned
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current_step(messages) → latest `当前步骤:…` snippet (or "")
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summary(items) → (n_done, n_total)
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is_complete(items) → all done (or empty)
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Supported task-line shapes (all matched by `extract`):
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- [ ] foo ← bullet + open
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- [x] foo ← bullet + done
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1. [✓] foo ← numbered + done
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2. [✓ 2026-05-16] foo ← numbered + timestamped done, content after bracket
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3. [✓ 已生成: foo] ← numbered + done with description *inside* bracket
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4. [D][P] foo ← two marker groups (delegate + parallel), still open
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5. [D] foo ← non-standard marker "D" → open (not done)
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"""
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from __future__ import annotations
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import os, re
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from typing import Any, Optional
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_DONE_CHARS = set("xX✓✔√☑")
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# Newline-insert before a bullet stuck to JSON debris (`{"content": "- [ ] …`).
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_GLUE_RE = re.compile(r"(?<!\n)((?:[-*+]|\d+\s*[.)、:)]) \[)")
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_BULLET_RE = re.compile(r"^\s*(?:[-*+]|\d+\s*[.)、:)])\s+")
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_BRACKET_RE = re.compile(r"\[([^\]]*)\]")
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# Strip `✓ ` / `x ` / timestamp prefix when bracket content is used as title.
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_INLINE_STRIP_RE = re.compile(
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r"^[" + re.escape("".join(_DONE_CHARS)) + r"]\s*(?:\d{4}-\d{2}-\d{2}\s+\d{1,2}:\d{2}(?::\d{2})?\s*)?"
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)
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_DEBRIS_RE = re.compile(r'["\\<].*$')
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# Strip markdown emphasis since planbar renders rich.Text, not Markdown.
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_MD_EMPHASIS_RE = re.compile(
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r"\*\*([^*\n]+)\*\*|\*([^*\n]+)\*|__([^_\n]+)__|_([^_\n]+)_|`([^`\n]+)`"
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)
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def _strip_md(s: str) -> str:
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return _MD_EMPHASIS_RE.sub(lambda m: next(g for g in m.groups() if g is not None), s)
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def _has_done_glyph(marker: str) -> bool:
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return any(c in _DONE_CHARS for c in marker)
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def extract(text: str) -> list[tuple[str, str]]:
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if not text: return []
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norm = text.replace("\\n", "\n") if "\\n" in text else text
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norm = _GLUE_RE.sub(r"\n\1", norm)
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found: dict[str, str] = {}
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for line in norm.splitlines():
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head = _BULLET_RE.match(line)
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if not head: continue
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rest = line[head.end():]
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groups: list[str] = []
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# Consume any number of consecutive `[...]` groups — covers `[D][P]`
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# task-type chains as well as the plain `[ ]` / `[x]` single form.
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while True:
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b = _BRACKET_RE.match(rest)
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if not b: break
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groups.append(b.group(1))
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rest = rest[b.end():]
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if not groups: continue
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is_done = any(_has_done_glyph(g) for g in groups)
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inline = rest.strip()
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if inline:
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content = inline
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elif is_done:
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# `[✓ description]` shape — description lives inside the bracket
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# next to the glyph. Strip the glyph + optional timestamp.
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done_g = next(g for g in groups if _has_done_glyph(g))
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content = _INLINE_STRIP_RE.sub("", done_g).strip()
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else:
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continue
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k = _strip_md(_DEBRIS_RE.sub("", content).strip())
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if not k: continue
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status = "done" if is_done else "open"
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# Same content seen twice — done wins over open.
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if k not in found or status == "done":
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found[k] = status
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return list(found.items())
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def _stashed_plan_path(agent) -> str:
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# First non-empty `working['in_plan_mode']` from (handler, agent).
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for src in (getattr(agent, "handler", None), agent):
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p = ((getattr(src, "working", None) or {}).get("in_plan_mode") or "").strip()
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if p: return p
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return ""
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def _resolve_stashed(p: str) -> Optional[str]:
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if not p: return None
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rel = p.lstrip("./\\")
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cwd = os.getcwd()
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for c in (p, os.path.join(cwd, "temp", rel), os.path.join(cwd, rel)):
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if os.path.isfile(c) and os.path.getsize(c) > 0: return c
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return None
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# Strict per-session discovery — scan this session's own messages only.
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_PATH_RE = re.compile(r"""((?:\.\/)?(?:temp\/)?plan_[A-Za-z0-9_\-]+\/plan\.md)""")
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def _slice(messages, start_idx: int):
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if not messages: return []
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if start_idx <= 0: return list(messages)
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return list(messages)[start_idx:]
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def find_path_in_messages(messages, start_idx: int = 0) -> Optional[str]:
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"""Latest existing `plan_XXX/plan.md` referenced after `start_idx`.
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Items can be `ChatMessage`-like (`.content`) or plain strings;
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only paths that exist on disk are returned."""
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sliced = _slice(messages, start_idx)
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if not sliced: return None
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for m in reversed(sliced):
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text = getattr(m, "content", None)
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if text is None: text = m if isinstance(m, str) else ""
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if not text or "plan.md" not in text: continue
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for hit in reversed(_PATH_RE.findall(text)):
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p = _resolve_stashed(hit.strip().strip("\"'"))
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if p: return p
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return None
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# Prefer concise `<summary>` narrative over the long plan-item echo;
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# treat `❌ 当前步骤:` as "step done", not "current step".
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_SUMMARY_STEP_RE = re.compile(
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r"<summary>[^<]*?当前步骤[::]\s*([^<\n]{1,160})</summary>", re.DOTALL)
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_STEP_RE = re.compile(r"📌\s*当前步骤[::]\s*([^\n。!!??]{1,160})")
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_DONE_STEP_RE = re.compile(r"❌\s*当前步骤[::]")
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def current_step(messages, start_idx: int = 0, max_len: int = 60) -> str:
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"""Latest `当前步骤:…` snippet; `<summary>` form preferred, `❌`-prefixed
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skipped. Trimmed to `max_len` chars so it fits the 5-row plan card."""
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sliced = _slice(messages, start_idx)
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if not sliced: return ""
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def _clean(s: str) -> str:
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return _strip_md(re.sub(r"\s+", " ", s).strip().rstrip(" ::—-"))
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def _cap(s: str) -> str:
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s = _clean(s)
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if len(s) <= max_len: return s
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return s[:max_len - 1].rstrip() + "…"
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for m in reversed(sliced):
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text = getattr(m, "content", None)
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if text is None: text = m if isinstance(m, str) else ""
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if not text or "当前步骤" not in text: continue
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hits = _SUMMARY_STEP_RE.findall(text)
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if hits: return _cap(hits[-1])
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for raw in reversed(_STEP_RE.findall(text)):
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if _DONE_STEP_RE.search(raw): continue
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return _cap(raw)
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return ""
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def is_active(agent, messages=None, start_idx: int = 0,
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restored_path: str = "") -> bool:
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"""Plan mode is on. Primary: `working['in_plan_mode']`. Then
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`restored_path` — a path recovered from the transcript's structured
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`enter_plan_mode` tool_use by /continue (see continue_cmd.find_plan_entry);
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unlike the message scan it cannot be spoofed by a path typed in chat.
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Legacy fallback: a `plan_*/plan.md` referenced in this session's messages
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(no global scan) — only consulted when `messages` is passed."""
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if _stashed_plan_path(agent): return True
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if restored_path and _resolve_stashed(restored_path): return True
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return find_path_in_messages(messages, start_idx) is not None
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def resolve_path(agent, messages=None, start_idx: int = 0,
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restored_path: str = "") -> Optional[str]:
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p = _resolve_stashed(_stashed_plan_path(agent))
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if p: return p
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if restored_path:
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p = _resolve_stashed(restored_path)
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if p: return p
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return find_path_in_messages(messages, start_idx)
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def summary(items: list[tuple[str, str]]) -> tuple[int, int]:
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return sum(1 for _, st in items if st == "done"), len(items)
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def is_complete(items: list[tuple[str, str]]) -> bool:
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return not items or all(st == "done" for _, st in items)
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# --- Desktop bridge only (APIs above unchanged) ---
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_ENTER_PLAN_RE = re.compile(r"""enter_plan_mode\s*\(\s*["']([^"']+)["']""", re.I)
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def _msg_content(m) -> str:
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if isinstance(m, str): return m
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c = m.get("content") if isinstance(m, dict) else getattr(m, "content", None)
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return c if isinstance(c, str) else ""
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def plan_path_mention_in_messages(messages, start_idx: int = 0) -> Optional[str]:
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for m in reversed(_slice(messages, start_idx)):
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text = _msg_content(m)
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if not text: continue
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if "enter_plan_mode" in text and (hit := _ENTER_PLAN_RE.search(text)):
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return hit.group(1).strip().strip("\"'")
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if "plan.md" in text and (hits := _PATH_RE.findall(text)):
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return hits[-1].strip().strip("\"'")
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return None
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def _resolve_stashed_at(p: str, root: str) -> Optional[str]:
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if not p or not root: return None
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rel = p.lstrip("./\\")
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cwd = root.rstrip("/\\")
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for c in (p, os.path.join(cwd, "temp", rel), os.path.join(cwd, rel)):
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if os.path.isfile(c) and os.path.getsize(c) > 0: return c
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return None
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def _find_path_at(messages, start_idx: int, root: str) -> Optional[str]:
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for m in reversed(_slice(messages, start_idx)):
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text = _msg_content(m)
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if not text or "plan.md" not in text: continue
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for hit in reversed(_PATH_RE.findall(text)):
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if p := _resolve_stashed_at(hit.strip().strip("\"'"), root): return p
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return None
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def default_session_plan_path(session_id: str) -> str:
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sid = (session_id or "sess").replace("/", "_")
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return f"temp/plan_{sid}/plan.md"
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def is_session_scoped_plan_path(path: str, session_id: str) -> bool:
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"""Desktop: only bind/adopt paths under this session's plan_{id}/ tree."""
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if not path:
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return False
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sid = (session_id or "sess").replace("/", "_")
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norm = path.replace("\\", "/").lstrip("./")
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return f"plan_{sid}/" in norm or norm.endswith(f"plan_{sid}/plan.md")
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def is_plan_preset_prompt(prompt: str) -> bool:
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p = (prompt or "").lower()
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return "plan_sop" in p or "plan 模式" in p or "plan mode" in p
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def bind_plan_session(sess: Any, prompt: str = "", path: Optional[str] = None) -> str:
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"""Bind plan card to this session only (avoids sharing plan_demo/ across sessions)."""
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rel = (path or "").strip() or default_session_plan_path(getattr(sess, "id", "") or "")
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sess.plan_path = rel
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msgs = list(getattr(sess, "messages", []) or [])
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sess.plan_scan_baseline = len(msgs)
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return rel
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def sync_plan_path_from_text(sess: Any, text: str, root: str) -> None:
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"""If agent emits enter_plan_mode(...), keep session bound path in sync."""
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if not text:
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return
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m = _ENTER_PLAN_RE.search(text)
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if not m:
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return
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raw = m.group(1).strip().strip("\"'")
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if not raw:
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return
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sess.plan_path = raw.lstrip("./")
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def session_plan_active(sess: Any, agent, messages, start_idx: int, root: str) -> bool:
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"""Desktop: active when this session has a bound plan_path (not global plan_*/ scan)."""
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bound = (getattr(sess, "plan_path", None) or "").strip()
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if not bound:
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return False
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if _stashed_plan_path(agent):
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return True
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if _resolve_stashed_at(bound, root):
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return True
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if getattr(sess, "status", "") == "running":
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return True
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# Plan preset bound this session — keep placeholder until plan.md appears or path changes
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if is_session_scoped_plan_path(bound, getattr(sess, "id", "")):
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return True
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return False
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def session_plan_resolve(bound: str, root: str) -> Optional[str]:
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if not bound:
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return None
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return _resolve_stashed_at(bound.strip(), root)
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def _desktop_resolve_plan_file(sess: Any, bound: str, root: str, agent, messages, base: int) -> Optional[str]:
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"""Desktop read path: bound → agent stash → per-session message scan."""
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path = session_plan_resolve(bound, root)
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if path:
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return path
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if agent and (stash := _stashed_plan_path(agent)):
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if p := _resolve_stashed_at(stash, root):
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return p
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return _find_path_at(messages, base, root)
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def desktop_plan_payload_from_session(sess: Any, ga_root: str = "") -> dict:
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"""Per-session plan card — bound plan_path + tuiapp_v2-style item/placeholder/complete."""
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raw = list(getattr(sess, "messages", []) or [])
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base = max(0, int(getattr(sess, "plan_scan_baseline", 0) or 0))
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if base > len(raw):
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base = len(raw)
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root = (getattr(sess, "cwd", None) or ga_root or "").strip()
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agent = getattr(sess, "agent", None)
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partial = getattr(sess, "partial", None)
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if isinstance(partial, dict) and isinstance(partial.get("content"), str):
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sync_plan_path_from_text(sess, partial["content"], root)
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sid = getattr(sess, "id", "") or ""
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if not (getattr(sess, "plan_path", None) or "").strip():
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mentioned = plan_path_mention_in_messages(raw, base)
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if mentioned and is_session_scoped_plan_path(mentioned, sid):
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sess.plan_path = mentioned.lstrip("./")
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else:
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return {"active": False}
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if not session_plan_active(sess, agent, raw, base, root):
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return {"active": False}
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bound = getattr(sess, "plan_path", "") or ""
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path = _desktop_resolve_plan_file(sess, bound, root, agent, raw, base)
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items = []
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if path:
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try:
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items = [{"content": c, "status": st} for c, st in extract(open(path, encoding="utf-8", errors="replace").read())]
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except OSError:
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pass
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step_msgs = list(raw[base:])
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if isinstance(p := getattr(sess, "partial", None), dict) and isinstance(c := p.get("content"), str) and c:
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step_msgs.append({"content": c})
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step = current_step(step_msgs, start_idx=0)
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if not items:
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hp = getattr(sess, "plan_path", "") or _stashed_plan_path(agent) or ""
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hint = "/".join(hp.replace("\\", "/").rstrip("/").split("/")[-2:]) if hp else "plan.md"
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return {"active": True, "placeholder": True, "done": 0, "total": 0, "complete": False, "step": step, "pathHint": hint, "items": []}
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pairs = [(x["content"], x["status"]) for x in items]
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n_done, n_total = summary(pairs)
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return {"active": True, "placeholder": False, "done": n_done, "total": n_total, "complete": is_complete(pairs), "step": step, "items": items}
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