graphify-labs__graphify/graphify/watch.py

# monitor a folder and auto-trigger --update when files change
from __future__ import annotations
import contextlib
import json
import os
import re
import sys
import time
from pathlib import Path

_GRAPHIFY_OUT = os.environ.get("GRAPHIFY_OUT", "graphify-out")


@contextlib.contextmanager
def _rebuild_lock(out_dir: Path, *, blocking: bool = False):
    """Per-repo advisory lock around a rebuild.

    Yields True if acquired, False if another rebuild is already running and
    ``blocking`` is False. Uses fcntl.flock so the lock is released
    automatically if the process is killed (no stale-lock cleanup needed).

    While the lock is held, ``.rebuild.lock`` contains the owning PID followed
    by a newline so external pollers (publish scripts, etc.) can read it.
    On successful release the file is unlinked so downstream tooling that
    waits for the lock to clear by polling for its absence unblocks promptly.

    Falls back to a no-op yield(True) on platforms without fcntl (Windows).
    """
    try:
        import fcntl
    except ImportError:
        yield True
        return

    out_dir.mkdir(parents=True, exist_ok=True)
    lock_path = out_dir / ".rebuild.lock"
    # "a+" creates the file if missing without truncating an existing holder's
    # PID payload — important because another process may have already written
    # its PID before we attempt the flock.
    fh = open(lock_path, "a+", encoding="utf-8")
    acquired = False
    try:
        flags = fcntl.LOCK_EX if blocking else (fcntl.LOCK_EX | fcntl.LOCK_NB)
        try:
            fcntl.flock(fh.fileno(), flags)
        except BlockingIOError:
            yield False
            return
        acquired = True
        # Replace any prior owner's PID with ours so external readers see a
        # single parseable line, not a digit-concatenation across rebuilds.
        try:
            fh.seek(0)
            fh.truncate()
            fh.write(f"{os.getpid()}\n")
            fh.flush()
        except OSError:
            pass
        yield True
    finally:
        if acquired:
            try:
                fcntl.flock(fh.fileno(), fcntl.LOCK_UN)
            except OSError:
                pass
        fh.close()
        # Signal "rebuild done" by removing the lock file. Only the holder
        # unlinks; a non-acquiring caller leaves the existing lock in place.
        if acquired:
            with contextlib.suppress(OSError):
                lock_path.unlink()


def _apply_resource_limits() -> None:
    """Best-effort nice + memory cap. Called from inline hook scripts.

    GRAPHIFY_REBUILD_MEMORY_LIMIT_MB caps RSS-ish memory. Uses RLIMIT_DATA on
    macOS (RLIMIT_AS is unreliable under Apple's libmalloc) and RLIMIT_AS on
    Linux. Silently skips if the platform doesn't support it.
    """
    try:
        os.nice(10)
    except (OSError, AttributeError):
        pass
    mb = os.environ.get("GRAPHIFY_REBUILD_MEMORY_LIMIT_MB", "").strip()
    if not mb:
        return
    try:
        limit = int(mb) * 1024 * 1024
    except ValueError:
        return
    try:
        import resource
        which = resource.RLIMIT_DATA if sys.platform == "darwin" else resource.RLIMIT_AS
        soft, hard = resource.getrlimit(which)
        new_hard = hard if hard != resource.RLIM_INFINITY and hard < limit else limit
        resource.setrlimit(which, (limit, new_hard))
    except (ImportError, ValueError, OSError):
        pass


def _git_head() -> str | None:
    """Return current git HEAD commit hash, or None outside a repo."""
    import subprocess as _sp
    try:
        r = _sp.run(["git", "rev-parse", "HEAD"], capture_output=True, text=True, timeout=3)
        return r.stdout.strip() if r.returncode == 0 else None
    except Exception:
        return None


from graphify.detect import (
    CODE_EXTENSIONS,
    DOC_EXTENSIONS,
    PAPER_EXTENSIONS,
    IMAGE_EXTENSIONS,
    _load_graphifyignore,
    _is_ignored,
)

_WATCHED_EXTENSIONS = CODE_EXTENSIONS | DOC_EXTENSIONS | PAPER_EXTENSIONS | IMAGE_EXTENSIONS
_CODE_EXTENSIONS = CODE_EXTENSIONS


def _report_root_label(watch_path: Path) -> str:
    if watch_path.is_absolute():
        return watch_path.name or str(watch_path)
    return Path.cwd().name if watch_path == Path(".") else str(watch_path)


def _relativize_source_files(payload: dict, root: Path) -> None:
    for bucket in ("nodes", "edges", "hyperedges"):
        for item in payload.get(bucket, []):
            source = item.get("source_file")
            if not source:
                continue
            source_path = Path(source)
            if not source_path.is_absolute():
                continue
            try:
                item["source_file"] = str(source_path.resolve().relative_to(root))
            except ValueError:
                continue


def _node_community_map(graph_data: dict) -> dict[str, int]:
    out: dict[str, int] = {}
    for node in graph_data.get("nodes", []):
        node_id = node.get("id")
        cid = node.get("community")
        if node_id is None or cid is None:
            continue
        try:
            out[str(node_id)] = int(cid)
        except (TypeError, ValueError):
            print(
                f"[graphify watch] Skipping node with invalid community id: "
                f"node_id={node_id!r} community={cid!r}",
                file=sys.stderr,
            )
            continue
    return out


def _canonical_graph_for_compare(graph_data: dict) -> dict:
    canonical = dict(graph_data)
    canonical.pop("built_at_commit", None)
    for key in ("nodes", "links", "edges", "hyperedges"):
        if key in canonical and isinstance(canonical[key], list):
            canonical[key] = sorted(
                canonical[key],
                key=lambda item: json.dumps(item, sort_keys=True, ensure_ascii=False, default=str),
            )
    return canonical


def _canonical_topology_for_compare(graph_data: dict) -> dict:
    canonical = dict(graph_data)
    canonical.pop("built_at_commit", None)

    nodes = canonical.get("nodes")
    if isinstance(nodes, list):
        norm_nodes = []
        for node in nodes:
            if not isinstance(node, dict):
                continue
            n = dict(node)
            n.pop("community", None)
            n.pop("norm_label", None)
            norm_nodes.append(n)
        canonical["nodes"] = sorted(
            norm_nodes,
            key=lambda item: json.dumps(item, sort_keys=True, ensure_ascii=False, default=str),
        )

    for key in ("links", "edges"):
        items = canonical.get(key)
        if not isinstance(items, list):
            continue
        norm_edges = []
        for edge in items:
            if not isinstance(edge, dict):
                continue
            e = dict(edge)
            # to_json writes _src/_tgt as the canonical directed endpoints and
            # overwrites source/target with them before serialising, so the
            # on-disk graph has no _src/_tgt. The candidate topology (fresh from
            # node_link_data) still has them. Popping and reassigning here makes
            # both sides comparable: existing gets no-op pops (None), candidate
            # gets source/target overwritten from _src/_tgt — same result.
            true_src = e.pop("_src", None)
            true_tgt = e.pop("_tgt", None)
            if true_src is not None and true_tgt is not None:
                e["source"] = true_src
                e["target"] = true_tgt
            e.pop("confidence_score", None)
            norm_edges.append(e)
        canonical[key] = sorted(
            norm_edges,
            key=lambda item: json.dumps(item, sort_keys=True, ensure_ascii=False, default=str),
        )

    hyperedges = canonical.get("hyperedges")
    if isinstance(hyperedges, list):
        canonical["hyperedges"] = sorted(
            hyperedges,
            key=lambda item: json.dumps(item, sort_keys=True, ensure_ascii=False, default=str),
        )

    return canonical


def _topology_from_graph(G) -> dict:
    from networkx.readwrite import json_graph
    try:
        data = json_graph.node_link_data(G, edges="links")
    except TypeError:
        data = json_graph.node_link_data(G)
    data["hyperedges"] = getattr(G, "graph", {}).get("hyperedges", [])
    return data


def _check_shrink(force: bool, existing_data: dict, new_data: dict, tmp: "Path | None" = None) -> bool:
    """Return True (ok to proceed) or False (shrink refused).

    When False, cleans up *tmp* if provided and prints a warning to stderr.
    """
    if force or not existing_data:
        return True
    existing_n = len(existing_data.get("nodes", []))
    new_n = len(new_data.get("nodes", []))
    if new_n < existing_n:
        if tmp is not None:
            tmp.unlink(missing_ok=True)
        print(
            f"[graphify] WARNING: new graph has {new_n} nodes but existing "
            f"graph.json has {existing_n}. Refusing to overwrite — you may be "
            f"missing chunk files from a previous session. "
            f"Pass --force to override.",
            file=sys.stderr,
        )
        return False
    return True


def _report_for_compare(report_text: str) -> str:
    return re.sub(r"^- Built from commit: `[^`]+`\n?", "", report_text, flags=re.MULTILINE)


def _json_text(data: dict) -> str:
    return json.dumps(data, indent=2, ensure_ascii=False) + "\n"


def _rebuild_code(
    watch_path: Path,
    *,
    changed_paths: list[Path] | None = None,
    follow_symlinks: bool = False,
    force: bool = False,
    no_cluster: bool = False,
    acquire_lock: bool = True,
    block_on_lock: bool = False,
) -> bool:
    """Re-run AST extraction + build + optional cluster + report for code files. No LLM needed.

    When ``force`` is True the node-count safety check in ``to_json`` is bypassed
    so the rebuilt graph overwrites graph.json even if it has fewer nodes.
    Use this after refactors that legitimately delete code.

    When ``changed_paths`` is provided, only those files are re-extracted; nodes
    for unchanged files are preserved from the existing graph. Deleted paths
    in ``changed_paths`` (paths that no longer exist on disk) are dropped from
    the preserved set. When ``changed_paths`` is None the full code corpus is
    re-extracted (used by the watcher and post-checkout hook).

    ``acquire_lock`` (default True) takes a non-blocking per-repo flock around
    the rebuild so concurrent post-commit hooks across multiple repos do not
    pile up. Returns False with a log line if the lock is held. Pass
    ``block_on_lock=True`` to wait instead of skip (used by the interactive
    ``graphify update`` CLI).

    ``no_cluster`` skips community detection and writes raw merged extraction
    JSON to graphify-out/graph.json (mirrors ``extract --no-cluster``).

    Returns True on success, False on error or skipped-due-to-lock.
    """
    out = watch_path / _GRAPHIFY_OUT
    if acquire_lock:
        with _rebuild_lock(out, blocking=block_on_lock) as got:
            if not got:
                print("[graphify watch] Rebuild already in progress for "
                      f"{watch_path.resolve()} - skipping.")
                return False
            return _rebuild_code(
                watch_path,
                changed_paths=changed_paths,
                follow_symlinks=follow_symlinks,
                force=force,
                no_cluster=no_cluster,
                acquire_lock=False,
            )

    watch_root = watch_path.resolve()
    project_root = Path.cwd().resolve() if not watch_path.is_absolute() else watch_root
    report_root = _report_root_label(watch_path)
    try:
        from graphify.extract import extract, _get_extractor
        from graphify.detect import detect
        from graphify.build import build_from_json
        from graphify.cluster import cluster, remap_communities_to_previous, score_all
        from graphify.analyze import god_nodes, surprising_connections, suggest_questions
        from graphify.report import generate
        from graphify.export import to_json, to_html
        from graphify.security import check_graph_file_size_cap

        detected = detect(watch_path, follow_symlinks=follow_symlinks)
        code_files = [Path(f) for f in detected['files']['code']]

        # Include document files that have AST extractors (e.g. .md, .mdx, .qmd)
        for doc_file in detected['files'].get('document', []):
            p = Path(doc_file)
            if _get_extractor(p) is not None:
                code_files.append(p)

        if not code_files:
            print("[graphify watch] No code files found - nothing to rebuild.")
            return False

        # Incremental path: when the caller passed an explicit change list,
        # extract only changed-and-still-existing files. Deleted paths are
        # tracked separately so their stale nodes can be evicted below.
        deleted_paths: set[str] = set()
        if changed_paths is not None:
            code_set = {p.resolve() for p in code_files}
            wanted: list[Path] = []
            for raw in changed_paths:
                cand = (watch_root / raw).resolve() if not raw.is_absolute() else raw.resolve()
                if cand.exists() and cand in code_set:
                    wanted.append(cand)
                else:
                    # File was deleted, renamed away, or filtered out by detect
                    # (e.g. .gitignore, vendored). Either way, evict any
                    # preserved nodes that still claim this source path.
                    try:
                        deleted_paths.add(str(cand.relative_to(project_root)))
                    except ValueError:
                        deleted_paths.add(str(cand))
            if not wanted and not deleted_paths:
                print("[graphify watch] No tracked code files in change set - skipping rebuild.")
                return True
            extract_targets = wanted
        else:
            extract_targets = code_files

        commit = _git_head()
        result = extract(extract_targets, cache_root=watch_root) if extract_targets else {
            "nodes": [], "edges": [], "hyperedges": [],
            "input_tokens": 0, "output_tokens": 0,
        }

        # Preserve semantic nodes/edges from a previous full run.
        # AST-only rebuild replaces nodes for changed files; everything else is kept.
        # Filter by node ID membership in the new AST output, not by file_type —
        # INFERRED/AMBIGUOUS nodes extracted from code files also carry file_type="code"
        # and would be wrongly dropped by a file_type-based filter.
        # When the caller supplied changed_paths, also evict preserved nodes whose
        # source_file matches a path that was changed (re-extracted) or deleted —
        # otherwise the old nodes for those files would survive forever.
        existing_graph = out / "graph.json"
        existing_graph_data: dict = {}
        if existing_graph.exists():
            try:
                check_graph_file_size_cap(existing_graph)
                existing = json.loads(existing_graph.read_text(encoding="utf-8"))
                existing_graph_data = existing
                new_ast_ids = {n["id"] for n in result["nodes"]}
                evict_sources: set[str] = set(deleted_paths)
                if changed_paths is not None:
                    for p in extract_targets:
                        try:
                            evict_sources.add(str(p.relative_to(project_root)))
                        except ValueError:
                            evict_sources.add(str(p))
                preserved_nodes = [
                    n for n in existing.get("nodes", [])
                    if n["id"] not in new_ast_ids
                    and (not evict_sources or n.get("source_file") not in evict_sources)
                ]
                all_ids = new_ast_ids | {n["id"] for n in preserved_nodes}
                preserved_edges = [
                    e for e in existing.get("links", existing.get("edges", []))
                    if e.get("source") in all_ids and e.get("target") in all_ids
                ]
                result = {
                    "nodes": result["nodes"] + preserved_nodes,
                    "edges": result["edges"] + preserved_edges,
                    "hyperedges": existing.get("hyperedges", []),
                    "input_tokens": 0,
                    "output_tokens": 0,
                }
            except Exception:
                pass  # corrupt graph.json - proceed with AST-only

        _relativize_source_files(result, project_root)
        out.mkdir(exist_ok=True)
        (out / ".graphify_root").write_text(str(watch_root), encoding="utf-8")

        if no_cluster:
            # Normalise to "links" key so schema is consistent with the full clustered path.
            candidate_graph_data = {
                **{k: v for k, v in result.items() if k != "edges"},
                "links": result.get("edges", []),
            }
            candidate_graph_text = _json_text(candidate_graph_data)
            same_graph = False
            if existing_graph.exists():
                try:
                    check_graph_file_size_cap(existing_graph)
                    existing_payload = json.loads(existing_graph.read_text(encoding="utf-8"))
                    same_graph = (
                        json.dumps(_canonical_graph_for_compare(existing_payload), sort_keys=True, ensure_ascii=False)
                        == json.dumps(_canonical_graph_for_compare(candidate_graph_data), sort_keys=True, ensure_ascii=False)
                    )
                except Exception:
                    same_graph = False
            if not same_graph:
                if not _check_shrink(force, existing_graph_data, candidate_graph_data):
                    return False
                existing_graph.write_text(candidate_graph_text, encoding="utf-8")

            try:
                from graphify.detect import save_manifest
                save_manifest(detected["files"], kind="ast")
            except Exception:
                pass

            # clear stale needs_update flag if present
            flag = out / "needs_update"
            if flag.exists():
                flag.unlink()

            if same_graph:
                print("[graphify watch] No code-graph changes detected (--no-cluster); outputs left untouched.")
            else:
                print(
                    "[graphify watch] Rebuilt (no clustering): "
                    f"{len(result.get('nodes', []))} nodes, {len(result.get('edges', []))} edges"
                )
                print(f"[graphify watch] graph.json updated in {out}")
            return True

        detection = {
            "files": {"code": [str(f) for f in code_files], "document": [], "paper": [], "image": []},
            "total_files": len(code_files),
            "total_words": detected.get("total_words", 0),
        }

        G = build_from_json(result)
        candidate_topology = _topology_from_graph(G)
        if existing_graph_data:
            try:
                same_topology = (
                    json.dumps(_canonical_topology_for_compare(existing_graph_data), sort_keys=True, ensure_ascii=False)
                    == json.dumps(_canonical_topology_for_compare(candidate_topology), sort_keys=True, ensure_ascii=False)
                )
            except Exception:
                same_topology = False
            if same_topology:
                try:
                    from graphify.detect import save_manifest
                    save_manifest(detected["files"], kind="ast")
                except Exception:
                    pass
                flag = out / "needs_update"
                if flag.exists():
                    flag.unlink()
                print("[graphify watch] No code-graph topology changes detected; outputs left untouched.")
                return True

        communities = cluster(G)
        previous_node_community = _node_community_map(existing_graph_data)
        if previous_node_community:
            communities = remap_communities_to_previous(communities, previous_node_community)
        cohesion = score_all(G, communities)
        gods = god_nodes(G)
        surprises = surprising_connections(G, communities)
        labels_file = out / ".graphify_labels.json"
        try:
            raw = json.loads(labels_file.read_text(encoding="utf-8")) if labels_file.exists() else {}
            labels = {int(k): v for k, v in raw.items() if int(k) in communities}
        except Exception:
            raw = {}
            labels = {}
        for cid in communities:
            if cid not in labels:
                labels[cid] = "Community " + str(cid)
        questions = suggest_questions(G, communities, labels)
        report = generate(G, communities, cohesion, labels, gods, surprises, detection,
                          {"input": 0, "output": 0}, report_root, suggested_questions=questions,
                          built_at_commit=commit)
        report_path = out / "GRAPH_REPORT.md"
        labels_json = json.dumps({str(k): v for k, v in sorted(labels.items())}, ensure_ascii=False, indent=2) + "\n"
        graph_tmp = out / ".graph.tmp.json"
        json_written = to_json(G, communities, str(graph_tmp), force=True, built_at_commit=commit)
        if not json_written:
            return False
        candidate_graph_data = json.loads(graph_tmp.read_text(encoding="utf-8"))
        same_graph = False
        same_report = False
        if existing_graph.exists():
            try:
                check_graph_file_size_cap(existing_graph)
                existing_payload = json.loads(existing_graph.read_text(encoding="utf-8"))
                same_graph = (
                    json.dumps(_canonical_graph_for_compare(existing_payload), sort_keys=True, ensure_ascii=False)
                    == json.dumps(_canonical_graph_for_compare(candidate_graph_data), sort_keys=True, ensure_ascii=False)
                )
            except Exception:
                same_graph = False
        if report_path.exists():
            old_report = report_path.read_text(encoding="utf-8")
            same_report = _report_for_compare(old_report) == _report_for_compare(report)
        no_change = same_graph and same_report
        if no_change:
            graph_tmp.unlink(missing_ok=True)
            print("[graphify watch] No code-graph changes detected; graph.json/GRAPH_REPORT.md left untouched.")
        else:
            if not _check_shrink(force, existing_graph_data, candidate_graph_data, tmp=graph_tmp):
                return False
            from graphify.export import backup_if_protected as _backup
            _backup(out)
            graph_tmp.replace(existing_graph)
            report_path.write_text(report, encoding="utf-8")
            labels_file.write_text(labels_json, encoding="utf-8")

        try:
            from graphify.detect import save_manifest
            save_manifest(detected["files"], kind="ast")
        except Exception:
            pass

        # to_html raises ValueError for graphs > MAX_NODES_FOR_VIZ (5000).
        # Wrap so core outputs (graph.json + GRAPH_REPORT.md) always land.
        html_written = False
        if not no_change:
            try:
                to_html(G, communities, str(out / "graph.html"), community_labels=labels or None)
                html_written = True
            except ValueError as viz_err:
                print(f"[graphify watch] Skipped graph.html: {viz_err}")
                stale = out / "graph.html"
                if stale.exists():
                    stale.unlink()

        # Regenerate callflow HTML if the user previously generated one —
        # opt-in by existence so users who never ran callflow-html aren't affected.
        callflow_files = list(out.glob("*-callflow.html"))
        if callflow_files and not no_change:
            try:
                from graphify.callflow_html import write_callflow_html
                for cf in callflow_files:
                    write_callflow_html(
                        graph=out / "graph.json",
                        report=out / "GRAPH_REPORT.md",
                        labels=out / ".graphify_labels.json",
                        output=cf,
                        verbose=False,
                    )
            except Exception as cf_err:
                print(f"[graphify watch] callflow HTML update skipped: {cf_err}")

        # clear stale needs_update flag if present
        flag = out / "needs_update"
        if flag.exists():
            flag.unlink()

        if not no_change:
            print(f"[graphify watch] Rebuilt: {G.number_of_nodes()} nodes, "
                  f"{G.number_of_edges()} edges, {len(communities)} communities")
            products = "graph.json" + (", graph.html" if html_written else "") + " and GRAPH_REPORT.md"
            if callflow_files:
                products += f", {len(callflow_files)} callflow HTML"
            print(f"[graphify watch] {products} updated in {out}")
        return True

    except Exception as exc:
        print(f"[graphify watch] Rebuild failed: {exc}")
        return False


def check_update(watch_path: Path) -> bool:
    """Check for pending semantic update flag and notify the user if set.

    Cron-safe: always returns True so cron jobs do not alarm.
    Non-code file changes (docs, papers, images) require LLM-backed
    re-extraction via `/graphify --update` — this function only signals
    that the update is needed.
    """
    flag = Path(watch_path) / _GRAPHIFY_OUT / "needs_update"
    if flag.exists():
        print(f"[graphify check-update] Pending non-code changes in {watch_path}.")
        print("[graphify check-update] Run `/graphify --update` to apply semantic re-extraction.")
    return True


def _notify_only(watch_path: Path) -> None:
    """Write a flag file and print a notification (fallback for non-code-only corpora)."""
    flag = watch_path / _GRAPHIFY_OUT / "needs_update"
    flag.parent.mkdir(parents=True, exist_ok=True)
    flag.write_text("1", encoding="utf-8")
    print(f"\n[graphify watch] New or changed files detected in {watch_path}")
    print("[graphify watch] Non-code files changed - semantic re-extraction requires LLM.")
    print("[graphify watch] Run `/graphify --update` in Claude Code to update the graph.")
    print(f"[graphify watch] Flag written to {flag}")


def _has_non_code(changed_paths: list[Path]) -> bool:
    return any(p.suffix.lower() not in _CODE_EXTENSIONS for p in changed_paths)


def watch(watch_path: Path, debounce: float = 3.0) -> None:
    """
    Watch watch_path for new or modified files and auto-update the graph.

    For code-only changes: re-runs AST extraction + rebuild immediately (no LLM).
    For doc/paper/image changes: writes a needs_update flag and notifies the user
    to run /graphify --update (LLM extraction required).

    debounce: seconds to wait after the last change before triggering (avoids
    running on every keystroke when many files are saved at once).
    """
    try:
        from watchdog.observers import Observer
        from watchdog.observers.polling import PollingObserver
        from watchdog.events import FileSystemEventHandler
    except ImportError as e:
        raise ImportError("watchdog not installed. Run: pip install watchdog") from e

    last_trigger: float = 0.0
    pending: bool = False
    changed: set[Path] = set()

    # Load .graphifyignore patterns ONCE at startup so the handler does not
    # re-parse the file on every filesystem event. Watchdog's handler runs on
    # the observer thread and is invoked for every event the OS delivers
    # (Time Machine writes, Docker/Colima VM I/O, Spotlight indexing, …) —
    # without this short-circuit a busy volume can saturate a CPU core
    # discarding events one extension at a time. (gh-928)
    watch_root_for_ignore = watch_path.resolve()
    ignore_patterns = _load_graphifyignore(watch_root_for_ignore)

    class Handler(FileSystemEventHandler):
        def on_any_event(self, event):
            nonlocal last_trigger, pending
            if event.is_directory:
                return
            path = Path(event.src_path)
            # Check .graphifyignore BEFORE the extension/dotfile/out filters so
            # the cheapest short-circuit for users with broad ignore patterns
            # (node_modules/, .venv/, build/, …) fires first. _is_ignored
            # tolerates absolute paths outside watch_root via its internal
            # relative_to guard, so a stray symlinked event won't raise.
            if ignore_patterns and _is_ignored(path, watch_root_for_ignore, ignore_patterns):
                return
            if path.suffix.lower() not in _WATCHED_EXTENSIONS:
                return
            if any(part.startswith(".") for part in path.parts):
                return
            if _GRAPHIFY_OUT in path.parts:
                return
            last_trigger = time.monotonic()
            pending = True
            changed.add(path)

    handler = Handler()
    # Use polling observer on macOS — FSEvents can miss rapid saves in some editors
    observer = PollingObserver() if sys.platform == "darwin" else Observer()
    observer.schedule(handler, str(watch_path), recursive=True)
    observer.start()

    print(f"[graphify watch] Watching {watch_path.resolve()} - press Ctrl+C to stop")
    print(f"[graphify watch] Code changes rebuild graph automatically. "
          f"Doc/image changes require /graphify --update.")
    print(f"[graphify watch] Debounce: {debounce}s")

    try:
        while True:
            time.sleep(0.5)
            if pending and (time.monotonic() - last_trigger) >= debounce:
                pending = False
                batch = list(changed)
                changed.clear()
                print(f"\n[graphify watch] {len(batch)} file(s) changed")
                has_non_code = _has_non_code(batch)
                has_code = any(p.suffix.lower() in _CODE_EXTENSIONS for p in batch)
                if has_code:
                    _rebuild_code(watch_path)
                if has_non_code:
                    _notify_only(watch_path)
    except KeyboardInterrupt:
        print("\n[graphify watch] Stopped.")
    finally:
        observer.stop()
        observer.join()


if __name__ == "__main__":
    import argparse
    parser = argparse.ArgumentParser(description="Watch a folder and auto-update the graphify graph")
    parser.add_argument("path", nargs="?", default=".", help="Folder to watch (default: .)")
    parser.add_argument("--debounce", type=float, default=3.0,
                        help="Seconds to wait after last change before updating (default: 3)")
    args = parser.parse_args()
    watch(Path(args.path), debounce=args.debounce)