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feat: 增强解决方案管理功能，支持按解决方案 ID 过滤和简要输出，优化嵌入模型配置读取

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catlog22
2026-01-07 09:31:52 +08:00
parent 05f762117a
commit 86d3e36722
5 changed files with 267 additions and 97 deletions
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26
codex-lens/src/codexlens/cli/commands.py
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@@ -125,8 +125,8 @@ def index_init(
workers: Optional[int] = typer.Option(None, "--workers", "-w", min=1, help="Parallel worker processes (default: auto-detect based on CPU count)."),
force: bool = typer.Option(False, "--force", "-f", help="Force full reindex (skip incremental mode)."),
no_embeddings: bool = typer.Option(False, "--no-embeddings", help="Skip automatic embedding generation (if semantic deps installed)."),
backend: str = typer.Option("fastembed", "--backend", "-b", help="Embedding backend: fastembed (local) or litellm (remote API)."),
model: str = typer.Option("code", "--model", "-m", help="Embedding model: profile name for fastembed (fast/code/multilingual/balanced) or model name for litellm (e.g. text-embedding-3-small)."),
backend: Optional[str] = typer.Option(None, "--backend", "-b", help="Embedding backend: fastembed (local) or litellm (remote API). Defaults to settings.json config."),
model: Optional[str] = typer.Option(None, "--model", "-m", help="Embedding model: profile name for fastembed or model name for litellm. Defaults to settings.json config."),
max_workers: int = typer.Option(1, "--max-workers", min=1, help="Max concurrent API calls for embedding generation. Recommended: 4-8 for litellm backend."),
json_mode: bool = typer.Option(False, "--json", help="Output JSON response."),
verbose: bool = typer.Option(False, "--verbose", "-v", help="Enable debug logging."),
@@ -152,6 +152,12 @@ def index_init(
"""
_configure_logging(verbose, json_mode)
config = Config()
# Fallback to settings.json config if CLI params not provided
config.load_settings() # Ensure settings are loaded
actual_backend = backend or config.embedding_backend
actual_model = model or config.embedding_model
languages = _parse_languages(language)
base_path = path.expanduser().resolve()
@@ -199,15 +205,15 @@ def index_init(
# Validate embedding backend
valid_backends = ["fastembed", "litellm"]
if backend not in valid_backends:
error_msg = f"Invalid embedding backend: {backend}. Must be one of: {', '.join(valid_backends)}"
if actual_backend not in valid_backends:
error_msg = f"Invalid embedding backend: {actual_backend}. Must be one of: {', '.join(valid_backends)}"
if json_mode:
print_json(success=False, error=error_msg)
else:
console.print(f"[red]Error:[/red] {error_msg}")
raise typer.Exit(code=1)
backend_available, backend_error = is_embedding_backend_available(backend)
backend_available, backend_error = is_embedding_backend_available(actual_backend)
if backend_available:
# Use the index root directory (not the _index.db file)
@@ -215,8 +221,8 @@ def index_init(
if not json_mode:
console.print("\n[bold]Generating embeddings...[/bold]")
console.print(f"Backend: [cyan]{backend}[/cyan]")
console.print(f"Model: [cyan]{model}[/cyan]")
console.print(f"Backend: [cyan]{actual_backend}[/cyan]")
console.print(f"Model: [cyan]{actual_model}[/cyan]")
else:
# Output progress message for JSON mode (parsed by Node.js)
print("Generating embeddings...", flush=True)
@@ -236,8 +242,8 @@ def index_init(
embed_result = generate_embeddings_recursive(
index_root,
embedding_backend=backend,
model_profile=model,
embedding_backend=actual_backend,
model_profile=actual_model,
force=False, # Don't force regenerate during init
chunk_size=2000,
progress_callback=progress_update, # Always use callback
@@ -283,7 +289,7 @@ def index_init(
}
else:
if not json_mode and verbose:
console.print(f"[dim]Embedding backend '{backend}' not available. Skipping embeddings.[/dim]")
console.print(f"[dim]Embedding backend '{actual_backend}' not available. Skipping embeddings.[/dim]")
result["embeddings"] = {
"generated": False,
"error": backend_error or "Embedding backend not available",