feat: add --use-existing-index option to google_history_reader_leann.py
- Allow using existing index without rebuilding - Useful for testing pre-built indices
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@@ -298,6 +298,11 @@ async def main():
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choices=["sentence-transformers", "openai", "mlx"],
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help="The embedding backend mode",
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)
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parser.add_argument(
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"--use-existing-index",
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action="store_true",
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help="Use existing index without rebuilding",
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)
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args = parser.parse_args()
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@@ -308,26 +313,34 @@ async def main():
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print(f"Index directory: {INDEX_DIR}")
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print(f"Max entries: {args.max_entries}")
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# Find Chrome profile directories
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from history_data.history import ChromeHistoryReader
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if args.auto_find_profiles:
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profile_dirs = ChromeHistoryReader.find_chrome_profiles()
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if not profile_dirs:
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print("No Chrome profiles found automatically. Exiting.")
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if args.use_existing_index:
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# Use existing index without rebuilding
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if not Path(INDEX_PATH).exists():
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print(f"Error: Index file not found at {INDEX_PATH}")
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return
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print(f"Using existing index at {INDEX_PATH}")
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index_path = INDEX_PATH
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else:
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# Use single specified profile
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profile_path = Path(args.chrome_profile)
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if not profile_path.exists():
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print(f"Chrome profile not found: {profile_path}")
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return
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profile_dirs = [profile_path]
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# Find Chrome profile directories
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from history_data.history import ChromeHistoryReader
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# Create or load the LEANN index from all sources
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index_path = create_leann_index_from_multiple_chrome_profiles(
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profile_dirs, INDEX_PATH, args.max_entries, args.embedding_model, args.embedding_mode
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)
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if args.auto_find_profiles:
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profile_dirs = ChromeHistoryReader.find_chrome_profiles()
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if not profile_dirs:
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print("No Chrome profiles found automatically. Exiting.")
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return
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else:
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# Use single specified profile
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profile_path = Path(args.chrome_profile)
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if not profile_path.exists():
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print(f"Chrome profile not found: {profile_path}")
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return
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profile_dirs = [profile_path]
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# Create or load the LEANN index from all sources
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index_path = create_leann_index_from_multiple_chrome_profiles(
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profile_dirs, INDEX_PATH, args.max_entries, args.embedding_model, args.embedding_mode
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)
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if index_path:
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if args.query:
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