feat(codexlens): add CodexLens code indexing platform with incremental updates

- Add CodexLens Python package with SQLite FTS5 search and tree-sitter parsing
- Implement workspace-local index storage (.codexlens/ directory)
- Add incremental update CLI command for efficient file-level index refresh
- Integrate CodexLens with CCW tools (codex_lens action: update)
- Add CodexLens Auto-Sync hook template for automatic index updates on file changes
- Add CodexLens status card in CCW Dashboard CLI Manager with install/init buttons
- Add server APIs: /api/codexlens/status, /api/codexlens/bootstrap, /api/codexlens/init

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

codex-lens/src/codexlens/cli/output.py

@@ -0,0 +1,91 @@
+"""Rich and JSON output helpers for CodexLens CLI."""
+
+from __future__ import annotations
+
+import json
+from dataclasses import asdict, is_dataclass
+from pathlib import Path
+from typing import Any, Iterable, Mapping, Sequence
+
+from rich.console import Console
+from rich.table import Table
+from rich.text import Text
+
+from codexlens.entities import SearchResult, Symbol
+
+console = Console()
+
+
+def _to_jsonable(value: Any) -> Any:
+    if value is None:
+        return None
+    if hasattr(value, "model_dump"):
+        return value.model_dump()
+    if is_dataclass(value):
+        return asdict(value)
+    if isinstance(value, Path):
+        return str(value)
+    if isinstance(value, Mapping):
+        return {k: _to_jsonable(v) for k, v in value.items()}
+    if isinstance(value, (list, tuple, set)):
+        return [_to_jsonable(v) for v in value]
+    return value
+
+
+def print_json(*, success: bool, result: Any = None, error: str | None = None) -> None:
+    payload: dict[str, Any] = {"success": success}
+    if success:
+        payload["result"] = _to_jsonable(result)
+    else:
+        payload["error"] = error or "Unknown error"
+    console.print_json(json.dumps(payload, ensure_ascii=False))
+
+
+def render_search_results(results: Sequence[SearchResult], *, title: str = "Search Results") -> None:
+    table = Table(title=title, show_lines=False)
+    table.add_column("Path", style="cyan", no_wrap=True)
+    table.add_column("Score", style="magenta", justify="right")
+    table.add_column("Excerpt", style="white")
+
+    for res in results:
+        excerpt = res.excerpt or ""
+        table.add_row(res.path, f"{res.score:.3f}", excerpt)
+
+    console.print(table)
+
+
+def render_symbols(symbols: Sequence[Symbol], *, title: str = "Symbols") -> None:
+    table = Table(title=title)
+    table.add_column("Name", style="green")
+    table.add_column("Kind", style="yellow")
+    table.add_column("Range", style="white", justify="right")
+
+    for sym in symbols:
+        start, end = sym.range
+        table.add_row(sym.name, sym.kind, f"{start}-{end}")
+
+    console.print(table)
+
+
+def render_status(stats: Mapping[str, Any]) -> None:
+    table = Table(title="Index Status")
+    table.add_column("Metric", style="cyan")
+    table.add_column("Value", style="white")
+
+    for key, value in stats.items():
+        if isinstance(value, Mapping):
+            value_text = ", ".join(f"{k}:{v}" for k, v in value.items())
+        elif isinstance(value, (list, tuple)):
+            value_text = ", ".join(str(v) for v in value)
+        else:
+            value_text = str(value)
+        table.add_row(str(key), value_text)
+
+    console.print(table)
+
+
+def render_file_inspect(path: str, language: str, symbols: Iterable[Symbol]) -> None:
+    header = Text.assemble(("File: ", "bold"), (path, "cyan"), ("  Language: ", "bold"), (language, "green"))
+    console.print(header)
+    render_symbols(list(symbols), title="Discovered Symbols")
+