884 lines
33 KiB
Python
884 lines
33 KiB
Python
import argparse
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import asyncio
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from pathlib import Path
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from typing import Union
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from llama_index.core import SimpleDirectoryReader
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from llama_index.core.node_parser import SentenceSplitter
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from tqdm import tqdm
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from .api import LeannBuilder, LeannChat, LeannSearcher
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def extract_pdf_text_with_pymupdf(file_path: str) -> str:
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"""Extract text from PDF using PyMuPDF for better quality."""
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try:
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import fitz # PyMuPDF
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doc = fitz.open(file_path)
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text = ""
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for page in doc:
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text += page.get_text()
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doc.close()
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return text
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except ImportError:
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# Fallback to default reader
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return None
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def extract_pdf_text_with_pdfplumber(file_path: str) -> str:
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"""Extract text from PDF using pdfplumber for better quality."""
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try:
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import pdfplumber
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text = ""
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with pdfplumber.open(file_path) as pdf:
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for page in pdf.pages:
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text += page.extract_text() or ""
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return text
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except ImportError:
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# Fallback to default reader
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return None
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class LeannCLI:
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def __init__(self):
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# Always use project-local .leann directory (like .git)
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self.indexes_dir = Path.cwd() / ".leann" / "indexes"
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self.indexes_dir.mkdir(parents=True, exist_ok=True)
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# Default parser for documents
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self.node_parser = SentenceSplitter(
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chunk_size=256, chunk_overlap=128, separator=" ", paragraph_separator="\n\n"
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)
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# Code-optimized parser
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self.code_parser = SentenceSplitter(
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chunk_size=512, # Larger chunks for code context
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chunk_overlap=50, # Less overlap to preserve function boundaries
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separator="\n", # Split by lines for code
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paragraph_separator="\n\n", # Preserve logical code blocks
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)
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def get_index_path(self, index_name: str) -> str:
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index_dir = self.indexes_dir / index_name
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return str(index_dir / "documents.leann")
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def index_exists(self, index_name: str) -> bool:
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index_dir = self.indexes_dir / index_name
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meta_file = index_dir / "documents.leann.meta.json"
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return meta_file.exists()
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def create_parser(self) -> argparse.ArgumentParser:
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parser = argparse.ArgumentParser(
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prog="leann",
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description="LEANN - Local Enhanced AI Navigation",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog="""
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Examples:
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leann build my-docs --docs ./documents # Build index from directory
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leann build my-code --docs ./src ./tests ./config # Build index from multiple directories
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leann build my-files --docs ./file1.py ./file2.txt ./docs/ # Build index from files and directories
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leann build my-mixed --docs ./readme.md ./src/ ./config.json # Build index from mixed files/dirs
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leann build my-ppts --docs ./ --file-types .pptx,.pdf # Index only PowerPoint and PDF files
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leann search my-docs "query" # Search in my-docs index
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leann ask my-docs "question" # Ask my-docs index
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leann list # List all stored indexes
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""",
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)
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subparsers = parser.add_subparsers(dest="command", help="Available commands")
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# Build command
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build_parser = subparsers.add_parser("build", help="Build document index")
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build_parser.add_argument(
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"index_name", nargs="?", help="Index name (default: current directory name)"
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)
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build_parser.add_argument(
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"--docs",
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type=str,
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nargs="+",
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default=["."],
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help="Documents directories and/or files (default: current directory)",
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)
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build_parser.add_argument(
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"--backend", type=str, default="hnsw", choices=["hnsw", "diskann"]
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)
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build_parser.add_argument("--embedding-model", type=str, default="facebook/contriever")
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build_parser.add_argument(
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"--embedding-mode",
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type=str,
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default="sentence-transformers",
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choices=["sentence-transformers", "openai", "mlx", "ollama"],
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help="Embedding backend mode (default: sentence-transformers)",
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)
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build_parser.add_argument("--force", "-f", action="store_true", help="Force rebuild")
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build_parser.add_argument("--graph-degree", type=int, default=32)
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build_parser.add_argument("--complexity", type=int, default=64)
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build_parser.add_argument("--num-threads", type=int, default=1)
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build_parser.add_argument("--compact", action="store_true", default=True)
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build_parser.add_argument(
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"--no-compact",
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dest="compact",
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action="store_false",
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help="Disable compact index storage (store full embeddings; higher storage)",
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)
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build_parser.add_argument("--recompute", action="store_true", default=True)
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build_parser.add_argument(
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"--no-recompute",
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dest="recompute",
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action="store_false",
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help="Disable embedding recomputation (store full embeddings; lower query latency)",
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)
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build_parser.add_argument(
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"--file-types",
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type=str,
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help="Comma-separated list of file extensions to include (e.g., '.txt,.pdf,.pptx'). If not specified, uses default supported types.",
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)
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# Search command
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search_parser = subparsers.add_parser("search", help="Search documents")
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search_parser.add_argument("index_name", help="Index name")
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search_parser.add_argument("query", help="Search query")
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search_parser.add_argument("--top-k", type=int, default=5)
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search_parser.add_argument("--complexity", type=int, default=64)
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search_parser.add_argument("--beam-width", type=int, default=1)
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search_parser.add_argument("--prune-ratio", type=float, default=0.0)
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search_parser.add_argument(
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"--recompute-embeddings",
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action="store_true",
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default=True,
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help="Recompute embeddings (default: True)",
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)
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search_parser.add_argument(
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"--no-recompute-embeddings",
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dest="recompute_embeddings",
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action="store_false",
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help="Disable embedding recomputation during search",
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)
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search_parser.add_argument(
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"--no-recompute",
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dest="recompute_embeddings",
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action="store_false",
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help="Alias for --no-recompute-embeddings",
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)
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search_parser.add_argument(
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"--pruning-strategy",
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choices=["global", "local", "proportional"],
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default="global",
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)
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# Ask command
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ask_parser = subparsers.add_parser("ask", help="Ask questions")
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ask_parser.add_argument("index_name", help="Index name")
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ask_parser.add_argument(
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"--llm",
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type=str,
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default="ollama",
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choices=["simulated", "ollama", "hf", "openai"],
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)
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ask_parser.add_argument("--model", type=str, default="qwen3:8b")
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ask_parser.add_argument("--host", type=str, default="http://localhost:11434")
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ask_parser.add_argument("--interactive", "-i", action="store_true")
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ask_parser.add_argument("--top-k", type=int, default=20)
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ask_parser.add_argument("--complexity", type=int, default=32)
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ask_parser.add_argument("--beam-width", type=int, default=1)
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ask_parser.add_argument("--prune-ratio", type=float, default=0.0)
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ask_parser.add_argument(
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"--recompute-embeddings",
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action="store_true",
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default=True,
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help="Recompute embeddings (default: True)",
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)
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ask_parser.add_argument(
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"--no-recompute-embeddings",
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dest="recompute_embeddings",
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action="store_false",
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help="Disable embedding recomputation during ask",
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)
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ask_parser.add_argument(
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"--no-recompute",
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dest="recompute_embeddings",
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action="store_false",
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help="Alias for --no-recompute-embeddings",
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)
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ask_parser.add_argument(
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"--pruning-strategy",
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choices=["global", "local", "proportional"],
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default="global",
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)
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ask_parser.add_argument(
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"--thinking-budget",
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type=str,
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choices=["low", "medium", "high"],
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default=None,
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help="Thinking budget for reasoning models (low/medium/high). Supported by GPT-Oss:20b and other reasoning models.",
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)
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# List command
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subparsers.add_parser("list", help="List all indexes")
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return parser
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def register_project_dir(self):
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"""Register current project directory in global registry"""
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global_registry = Path.home() / ".leann" / "projects.json"
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global_registry.parent.mkdir(exist_ok=True)
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current_dir = str(Path.cwd())
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# Load existing registry
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projects = []
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if global_registry.exists():
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try:
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import json
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with open(global_registry) as f:
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projects = json.load(f)
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except Exception:
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projects = []
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# Add current directory if not already present
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if current_dir not in projects:
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projects.append(current_dir)
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# Save registry
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import json
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with open(global_registry, "w") as f:
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json.dump(projects, f, indent=2)
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def _build_gitignore_parser(self, docs_dir: str):
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"""Build gitignore parser using gitignore-parser library."""
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from gitignore_parser import parse_gitignore
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# Try to parse the root .gitignore
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gitignore_path = Path(docs_dir) / ".gitignore"
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if gitignore_path.exists():
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try:
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# gitignore-parser automatically handles all subdirectory .gitignore files!
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matches = parse_gitignore(str(gitignore_path))
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print(f"📋 Loaded .gitignore from {docs_dir} (includes all subdirectories)")
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return matches
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except Exception as e:
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print(f"Warning: Could not parse .gitignore: {e}")
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else:
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print("📋 No .gitignore found")
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# Fallback: basic pattern matching for essential files
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essential_patterns = {".git", ".DS_Store", "__pycache__", "node_modules", ".venv", "venv"}
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def basic_matches(file_path):
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path_parts = Path(file_path).parts
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return any(part in essential_patterns for part in path_parts)
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return basic_matches
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def _should_exclude_file(self, relative_path: Path, gitignore_matches) -> bool:
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"""Check if a file should be excluded using gitignore parser."""
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return gitignore_matches(str(relative_path))
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def _is_git_submodule(self, path: Path) -> bool:
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"""Check if a path is a git submodule."""
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try:
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# Find the git repo root
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current_dir = Path.cwd()
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while current_dir != current_dir.parent:
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if (current_dir / ".git").exists():
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gitmodules_path = current_dir / ".gitmodules"
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if gitmodules_path.exists():
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# Read .gitmodules to check if this path is a submodule
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gitmodules_content = gitmodules_path.read_text()
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# Convert path to relative to git root
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try:
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relative_path = path.resolve().relative_to(current_dir)
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# Check if this path appears in .gitmodules
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return f"path = {relative_path}" in gitmodules_content
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except ValueError:
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# Path is not under git root
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return False
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break
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current_dir = current_dir.parent
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return False
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except Exception:
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# If anything goes wrong, assume it's not a submodule
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return False
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def list_indexes(self):
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print("Stored LEANN indexes:")
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# Get all project directories with .leann
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global_registry = Path.home() / ".leann" / "projects.json"
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all_projects = []
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if global_registry.exists():
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try:
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import json
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with open(global_registry) as f:
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all_projects = json.load(f)
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except Exception:
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pass
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# Filter to only existing directories with .leann
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valid_projects = []
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for project_dir in all_projects:
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project_path = Path(project_dir)
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if project_path.exists() and (project_path / ".leann" / "indexes").exists():
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valid_projects.append(project_path)
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# Add current project if it has .leann but not in registry
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current_path = Path.cwd()
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if (current_path / ".leann" / "indexes").exists() and current_path not in valid_projects:
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valid_projects.append(current_path)
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if not valid_projects:
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print(
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"No indexes found. Use 'leann build <name> --docs <dir> [<dir2> ...]' to create one."
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)
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return
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total_indexes = 0
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current_dir = Path.cwd()
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for project_path in valid_projects:
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indexes_dir = project_path / ".leann" / "indexes"
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if not indexes_dir.exists():
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continue
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index_dirs = [d for d in indexes_dir.iterdir() if d.is_dir()]
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if not index_dirs:
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continue
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# Show project header
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if project_path == current_dir:
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print(f"\n📁 Current project ({project_path}):")
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else:
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print(f"\n📂 {project_path}:")
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for index_dir in index_dirs:
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total_indexes += 1
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index_name = index_dir.name
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meta_file = index_dir / "documents.leann.meta.json"
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status = "✓" if meta_file.exists() else "✗"
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print(f" {total_indexes}. {index_name} [{status}]")
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if status == "✓":
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size_mb = sum(f.stat().st_size for f in index_dir.iterdir() if f.is_file()) / (
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1024 * 1024
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)
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print(f" Size: {size_mb:.1f} MB")
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if total_indexes > 0:
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print(f"\nTotal: {total_indexes} indexes across {len(valid_projects)} projects")
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print("\nUsage (current project only):")
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# Show example from current project
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current_indexes_dir = current_dir / ".leann" / "indexes"
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if current_indexes_dir.exists():
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current_index_dirs = [d for d in current_indexes_dir.iterdir() if d.is_dir()]
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if current_index_dirs:
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example_name = current_index_dirs[0].name
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print(f' leann search {example_name} "your query"')
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print(f" leann ask {example_name} --interactive")
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def load_documents(
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self, docs_paths: Union[str, list], custom_file_types: Union[str, None] = None
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):
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# Handle both single path (string) and multiple paths (list) for backward compatibility
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if isinstance(docs_paths, str):
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docs_paths = [docs_paths]
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# Separate files and directories
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files = []
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directories = []
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for path in docs_paths:
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path_obj = Path(path)
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if path_obj.is_file():
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files.append(str(path_obj))
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elif path_obj.is_dir():
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# Check if this is a git submodule - if so, skip it
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if self._is_git_submodule(path_obj):
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print(f"⚠️ Skipping git submodule: {path}")
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continue
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directories.append(str(path_obj))
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else:
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print(f"⚠️ Warning: Path '{path}' does not exist, skipping...")
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continue
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# Print summary of what we're processing
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total_items = len(files) + len(directories)
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items_desc = []
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if files:
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items_desc.append(f"{len(files)} file{'s' if len(files) > 1 else ''}")
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if directories:
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items_desc.append(
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f"{len(directories)} director{'ies' if len(directories) > 1 else 'y'}"
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)
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print(f"Loading documents from {' and '.join(items_desc)} ({total_items} total):")
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if files:
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print(f" 📄 Files: {', '.join([Path(f).name for f in files])}")
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if directories:
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print(f" 📁 Directories: {', '.join(directories)}")
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if custom_file_types:
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print(f"Using custom file types: {custom_file_types}")
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all_documents = []
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# First, process individual files if any
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if files:
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print(f"\n🔄 Processing {len(files)} individual file{'s' if len(files) > 1 else ''}...")
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# Load individual files using SimpleDirectoryReader with input_files
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# Note: We skip gitignore filtering for explicitly specified files
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try:
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# Group files by their parent directory for efficient loading
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from collections import defaultdict
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files_by_dir = defaultdict(list)
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for file_path in files:
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parent_dir = str(Path(file_path).parent)
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files_by_dir[parent_dir].append(file_path)
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# Load files from each parent directory
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for parent_dir, file_list in files_by_dir.items():
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print(
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f" Loading {len(file_list)} file{'s' if len(file_list) > 1 else ''} from {parent_dir}"
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)
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try:
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file_docs = SimpleDirectoryReader(
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parent_dir,
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input_files=file_list,
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filename_as_id=True,
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).load_data()
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all_documents.extend(file_docs)
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print(
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f" ✅ Loaded {len(file_docs)} document{'s' if len(file_docs) > 1 else ''}"
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)
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except Exception as e:
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print(f" ❌ Warning: Could not load files from {parent_dir}: {e}")
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except Exception as e:
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print(f"❌ Error processing individual files: {e}")
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# Define file extensions to process
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if custom_file_types:
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# Parse custom file types from comma-separated string
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code_extensions = [ext.strip() for ext in custom_file_types.split(",") if ext.strip()]
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# Ensure extensions start with a dot
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code_extensions = [ext if ext.startswith(".") else f".{ext}" for ext in code_extensions]
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else:
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# Use default supported file types
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code_extensions = [
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# Original document types
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".txt",
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".md",
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".docx",
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".pptx",
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# Code files for Claude Code integration
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".py",
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".js",
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".ts",
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".jsx",
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".tsx",
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".java",
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".cpp",
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".c",
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".h",
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".hpp",
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".cs",
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".go",
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".rs",
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".rb",
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".php",
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".swift",
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".kt",
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".scala",
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".r",
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".sql",
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".sh",
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".bash",
|
|
".zsh",
|
|
".fish",
|
|
".ps1",
|
|
".bat",
|
|
# Config and markup files
|
|
".json",
|
|
".yaml",
|
|
".yml",
|
|
".xml",
|
|
".toml",
|
|
".ini",
|
|
".cfg",
|
|
".conf",
|
|
".html",
|
|
".css",
|
|
".scss",
|
|
".less",
|
|
".vue",
|
|
".svelte",
|
|
# Data science
|
|
".ipynb",
|
|
".R",
|
|
".py",
|
|
".jl",
|
|
]
|
|
|
|
# Process each directory
|
|
if directories:
|
|
print(
|
|
f"\n🔄 Processing {len(directories)} director{'ies' if len(directories) > 1 else 'y'}..."
|
|
)
|
|
|
|
for docs_dir in directories:
|
|
print(f"Processing directory: {docs_dir}")
|
|
# Build gitignore parser for each directory
|
|
gitignore_matches = self._build_gitignore_parser(docs_dir)
|
|
|
|
# Try to use better PDF parsers first, but only if PDFs are requested
|
|
documents = []
|
|
docs_path = Path(docs_dir)
|
|
|
|
# Check if we should process PDFs
|
|
should_process_pdfs = custom_file_types is None or ".pdf" in custom_file_types
|
|
|
|
if should_process_pdfs:
|
|
for file_path in docs_path.rglob("*.pdf"):
|
|
# Check if file matches any exclude pattern
|
|
try:
|
|
relative_path = file_path.relative_to(docs_path)
|
|
if self._should_exclude_file(relative_path, gitignore_matches):
|
|
continue
|
|
except ValueError:
|
|
# Skip files that can't be made relative to docs_path
|
|
print(f"⚠️ Skipping file outside directory scope: {file_path}")
|
|
continue
|
|
|
|
print(f"Processing PDF: {file_path}")
|
|
|
|
# Try PyMuPDF first (best quality)
|
|
text = extract_pdf_text_with_pymupdf(str(file_path))
|
|
if text is None:
|
|
# Try pdfplumber
|
|
text = extract_pdf_text_with_pdfplumber(str(file_path))
|
|
|
|
if text:
|
|
# Create a simple document structure
|
|
from llama_index.core import Document
|
|
|
|
doc = Document(text=text, metadata={"source": str(file_path)})
|
|
documents.append(doc)
|
|
else:
|
|
# Fallback to default reader
|
|
print(f"Using default reader for {file_path}")
|
|
try:
|
|
default_docs = SimpleDirectoryReader(
|
|
str(file_path.parent),
|
|
filename_as_id=True,
|
|
required_exts=[file_path.suffix],
|
|
).load_data()
|
|
documents.extend(default_docs)
|
|
except Exception as e:
|
|
print(f"Warning: Could not process {file_path}: {e}")
|
|
|
|
# Load other file types with default reader
|
|
try:
|
|
# Create a custom file filter function using our PathSpec
|
|
def file_filter(
|
|
file_path: str, docs_dir=docs_dir, gitignore_matches=gitignore_matches
|
|
) -> bool:
|
|
"""Return True if file should be included (not excluded)"""
|
|
try:
|
|
docs_path_obj = Path(docs_dir)
|
|
file_path_obj = Path(file_path)
|
|
relative_path = file_path_obj.relative_to(docs_path_obj)
|
|
return not self._should_exclude_file(relative_path, gitignore_matches)
|
|
except (ValueError, OSError):
|
|
return True # Include files that can't be processed
|
|
|
|
other_docs = SimpleDirectoryReader(
|
|
docs_dir,
|
|
recursive=True,
|
|
encoding="utf-8",
|
|
required_exts=code_extensions,
|
|
file_extractor={}, # Use default extractors
|
|
filename_as_id=True,
|
|
).load_data(show_progress=True)
|
|
|
|
# Filter documents after loading based on gitignore rules
|
|
filtered_docs = []
|
|
for doc in other_docs:
|
|
file_path = doc.metadata.get("file_path", "")
|
|
if file_filter(file_path):
|
|
filtered_docs.append(doc)
|
|
|
|
documents.extend(filtered_docs)
|
|
except ValueError as e:
|
|
if "No files found" in str(e):
|
|
print(f"No additional files found for other supported types in {docs_dir}.")
|
|
else:
|
|
raise e
|
|
|
|
all_documents.extend(documents)
|
|
print(f"Loaded {len(documents)} documents from {docs_dir}")
|
|
|
|
documents = all_documents
|
|
|
|
all_texts = []
|
|
|
|
# Define code file extensions for intelligent chunking
|
|
code_file_exts = {
|
|
".py",
|
|
".js",
|
|
".ts",
|
|
".jsx",
|
|
".tsx",
|
|
".java",
|
|
".cpp",
|
|
".c",
|
|
".h",
|
|
".hpp",
|
|
".cs",
|
|
".go",
|
|
".rs",
|
|
".rb",
|
|
".php",
|
|
".swift",
|
|
".kt",
|
|
".scala",
|
|
".r",
|
|
".sql",
|
|
".sh",
|
|
".bash",
|
|
".zsh",
|
|
".fish",
|
|
".ps1",
|
|
".bat",
|
|
".json",
|
|
".yaml",
|
|
".yml",
|
|
".xml",
|
|
".toml",
|
|
".ini",
|
|
".cfg",
|
|
".conf",
|
|
".html",
|
|
".css",
|
|
".scss",
|
|
".less",
|
|
".vue",
|
|
".svelte",
|
|
".ipynb",
|
|
".R",
|
|
".jl",
|
|
}
|
|
|
|
print("start chunking documents")
|
|
# Add progress bar for document chunking
|
|
for doc in tqdm(documents, desc="Chunking documents", unit="doc"):
|
|
# Check if this is a code file based on source path
|
|
source_path = doc.metadata.get("source", "")
|
|
is_code_file = any(source_path.endswith(ext) for ext in code_file_exts)
|
|
|
|
# Use appropriate parser based on file type
|
|
parser = self.code_parser if is_code_file else self.node_parser
|
|
nodes = parser.get_nodes_from_documents([doc])
|
|
|
|
for node in nodes:
|
|
all_texts.append(node.get_content())
|
|
|
|
print(f"Loaded {len(documents)} documents, {len(all_texts)} chunks")
|
|
return all_texts
|
|
|
|
async def build_index(self, args):
|
|
docs_paths = args.docs
|
|
# Use current directory name if index_name not provided
|
|
if args.index_name:
|
|
index_name = args.index_name
|
|
else:
|
|
index_name = Path.cwd().name
|
|
print(f"Using current directory name as index: '{index_name}'")
|
|
|
|
index_dir = self.indexes_dir / index_name
|
|
index_path = self.get_index_path(index_name)
|
|
|
|
# Display all paths being indexed with file/directory distinction
|
|
files = [p for p in docs_paths if Path(p).is_file()]
|
|
directories = [p for p in docs_paths if Path(p).is_dir()]
|
|
|
|
print(f"📂 Indexing {len(docs_paths)} path{'s' if len(docs_paths) > 1 else ''}:")
|
|
if files:
|
|
print(f" 📄 Files ({len(files)}):")
|
|
for i, file_path in enumerate(files, 1):
|
|
print(f" {i}. {Path(file_path).resolve()}")
|
|
if directories:
|
|
print(f" 📁 Directories ({len(directories)}):")
|
|
for i, dir_path in enumerate(directories, 1):
|
|
print(f" {i}. {Path(dir_path).resolve()}")
|
|
|
|
if index_dir.exists() and not args.force:
|
|
print(f"Index '{index_name}' already exists. Use --force to rebuild.")
|
|
return
|
|
|
|
all_texts = self.load_documents(docs_paths, args.file_types)
|
|
if not all_texts:
|
|
print("No documents found")
|
|
return
|
|
|
|
index_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
print(f"Building index '{index_name}' with {args.backend} backend...")
|
|
|
|
builder = LeannBuilder(
|
|
backend_name=args.backend,
|
|
embedding_model=args.embedding_model,
|
|
embedding_mode=args.embedding_mode,
|
|
graph_degree=args.graph_degree,
|
|
complexity=args.complexity,
|
|
is_compact=args.compact,
|
|
is_recompute=args.recompute,
|
|
num_threads=args.num_threads,
|
|
)
|
|
|
|
for chunk_text in all_texts:
|
|
builder.add_text(chunk_text)
|
|
|
|
builder.build_index(index_path)
|
|
print(f"Index built at {index_path}")
|
|
|
|
# Register this project directory in global registry
|
|
self.register_project_dir()
|
|
|
|
async def search_documents(self, args):
|
|
index_name = args.index_name
|
|
query = args.query
|
|
index_path = self.get_index_path(index_name)
|
|
|
|
if not self.index_exists(index_name):
|
|
print(
|
|
f"Index '{index_name}' not found. Use 'leann build {index_name} --docs <dir> [<dir2> ...]' to create it."
|
|
)
|
|
return
|
|
|
|
searcher = LeannSearcher(index_path=index_path)
|
|
results = searcher.search(
|
|
query,
|
|
top_k=args.top_k,
|
|
complexity=args.complexity,
|
|
beam_width=args.beam_width,
|
|
prune_ratio=args.prune_ratio,
|
|
recompute_embeddings=args.recompute_embeddings,
|
|
pruning_strategy=args.pruning_strategy,
|
|
)
|
|
|
|
print(f"Search results for '{query}' (top {len(results)}):")
|
|
for i, result in enumerate(results, 1):
|
|
print(f"{i}. Score: {result.score:.3f}")
|
|
print(f" {result.text[:200]}...")
|
|
print()
|
|
|
|
async def ask_questions(self, args):
|
|
index_name = args.index_name
|
|
index_path = self.get_index_path(index_name)
|
|
|
|
if not self.index_exists(index_name):
|
|
print(
|
|
f"Index '{index_name}' not found. Use 'leann build {index_name} --docs <dir> [<dir2> ...]' to create it."
|
|
)
|
|
return
|
|
|
|
print(f"Starting chat with index '{index_name}'...")
|
|
print(f"Using {args.model} ({args.llm})")
|
|
|
|
llm_config = {"type": args.llm, "model": args.model}
|
|
if args.llm == "ollama":
|
|
llm_config["host"] = args.host
|
|
|
|
chat = LeannChat(index_path=index_path, llm_config=llm_config)
|
|
|
|
if args.interactive:
|
|
print("LEANN Assistant ready! Type 'quit' to exit")
|
|
print("=" * 40)
|
|
|
|
while True:
|
|
user_input = input("\nYou: ").strip()
|
|
if user_input.lower() in ["quit", "exit", "q"]:
|
|
print("Goodbye!")
|
|
break
|
|
|
|
if not user_input:
|
|
continue
|
|
|
|
# Prepare LLM kwargs with thinking budget if specified
|
|
llm_kwargs = {}
|
|
if args.thinking_budget:
|
|
llm_kwargs["thinking_budget"] = args.thinking_budget
|
|
|
|
response = chat.ask(
|
|
user_input,
|
|
top_k=args.top_k,
|
|
complexity=args.complexity,
|
|
beam_width=args.beam_width,
|
|
prune_ratio=args.prune_ratio,
|
|
recompute_embeddings=args.recompute_embeddings,
|
|
pruning_strategy=args.pruning_strategy,
|
|
llm_kwargs=llm_kwargs,
|
|
)
|
|
print(f"LEANN: {response}")
|
|
else:
|
|
query = input("Enter your question: ").strip()
|
|
if query:
|
|
# Prepare LLM kwargs with thinking budget if specified
|
|
llm_kwargs = {}
|
|
if args.thinking_budget:
|
|
llm_kwargs["thinking_budget"] = args.thinking_budget
|
|
|
|
response = chat.ask(
|
|
query,
|
|
top_k=args.top_k,
|
|
complexity=args.complexity,
|
|
beam_width=args.beam_width,
|
|
prune_ratio=args.prune_ratio,
|
|
recompute_embeddings=args.recompute_embeddings,
|
|
pruning_strategy=args.pruning_strategy,
|
|
llm_kwargs=llm_kwargs,
|
|
)
|
|
print(f"LEANN: {response}")
|
|
|
|
async def run(self, args=None):
|
|
parser = self.create_parser()
|
|
|
|
if args is None:
|
|
args = parser.parse_args()
|
|
|
|
if not args.command:
|
|
parser.print_help()
|
|
return
|
|
|
|
if args.command == "list":
|
|
self.list_indexes()
|
|
elif args.command == "build":
|
|
await self.build_index(args)
|
|
elif args.command == "search":
|
|
await self.search_documents(args)
|
|
elif args.command == "ask":
|
|
await self.ask_questions(args)
|
|
else:
|
|
parser.print_help()
|
|
|
|
|
|
def main():
|
|
import dotenv
|
|
|
|
dotenv.load_dotenv()
|
|
|
|
cli = LeannCLI()
|
|
asyncio.run(cli.run())
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|