refactor: rename package codexlens -> codexlens_search for independent distribution

Rename the v2 search engine package to `codexlens-search` (import as
`codexlens_search`) so it can be installed independently and consumed
by the original codex-lens as a dependency. This avoids package path
conflicts since both previously used `src/codexlens/`.

Changes:
- Rename src/codexlens/ -> src/codexlens_search/
- Update pyproject.toml: name=codexlens-search, version=0.2.0
- Update all imports across source, tests, and scripts
- Add public API exports in __init__.py (Config, SearchPipeline,
  IndexingPipeline, SearchResult, IndexStats)

37/37 tests pass. No functional changes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

codex-lens-v2/conftest.py

@@ -1,5 +1,5 @@
 import sys
 import os
 
-# Ensure the local src directory takes precedence over any installed codexlens package
+# Ensure the local src directory takes precedence over any installed codexlens_search package
 sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))

codex-lens-v2/pyproject.toml

@@ -3,9 +3,9 @@ requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [project]
-name = "codex-lens-v2"
-version = "0.1.0"
-description = "Minimal code semantic search library with 2-stage pipeline"
+name = "codexlens-search"
+version = "0.2.0"
+description = "Lightweight semantic code search engine — 2-stage vector + FTS + RRF fusion"
 requires-python = ">=3.10"
 dependencies = []
 
@@ -33,4 +33,4 @@ dev = [
 ]
 
 [tool.hatch.build.targets.wheel]
-packages = ["src/codexlens"]
+packages = ["src/codexlens_search"]

codex-lens-v2/scripts/index_and_search.py

@@ -9,13 +9,13 @@ from pathlib import Path
 # 确保 src 可被导入
 sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
 
-from codexlens.config import Config
-from codexlens.core.factory import create_ann_index, create_binary_index
-from codexlens.embed.local import FastEmbedEmbedder
-from codexlens.indexing import IndexingPipeline
-from codexlens.rerank.local import FastEmbedReranker
-from codexlens.search.fts import FTSEngine
-from codexlens.search.pipeline import SearchPipeline
+from codexlens_search.config import Config
+from codexlens_search.core.factory import create_ann_index, create_binary_index
+from codexlens_search.embed.local import FastEmbedEmbedder
+from codexlens_search.indexing import IndexingPipeline
+from codexlens_search.rerank.local import FastEmbedReranker
+from codexlens_search.search.fts import FTSEngine
+from codexlens_search.search.pipeline import SearchPipeline
 
 # ─── 配置 ──────────────────────────────────────────────────────────────────
 REPO_ROOT = Path("D:/Claude_dms3")

codex-lens-v2/scripts/test_small_e2e.py

@@ -11,13 +11,13 @@ from pathlib import Path
 sys.path.insert(0, str(Path(__file__).parent.parent / "src"))
 
 import numpy as np
-from codexlens.config import Config
-from codexlens.core.factory import create_ann_index, create_binary_index
-from codexlens.embed.local import FastEmbedEmbedder
-from codexlens.indexing import IndexingPipeline
-from codexlens.rerank.base import BaseReranker
-from codexlens.search.fts import FTSEngine
-from codexlens.search.pipeline import SearchPipeline
+from codexlens_search.config import Config
+from codexlens_search.core.factory import create_ann_index, create_binary_index
+from codexlens_search.embed.local import FastEmbedEmbedder
+from codexlens_search.indexing import IndexingPipeline
+from codexlens_search.rerank.base import BaseReranker
+from codexlens_search.search.fts import FTSEngine
+from codexlens_search.search.pipeline import SearchPipeline
 
 
 class KeywordReranker(BaseReranker):
@@ -32,7 +32,7 @@ class KeywordReranker(BaseReranker):
         return scores
 
 PROJECT = Path(__file__).parent.parent
-TARGET_DIR = PROJECT / "src" / "codexlens"  # ~21 .py files, small
+TARGET_DIR = PROJECT / "src" / "codexlens_search"  # ~21 .py files, small
 INDEX_DIR = PROJECT / ".test_index_cache"
 EXTENSIONS = {".py"}
 

codex-lens-v2/src/codexlens_search/__init__.py

@@ -0,0 +1,20 @@
+"""codexlens-search: Lightweight semantic code search engine.
+
+Public API for consumers (e.g. codex-lens):
+
+    from codexlens_search import SearchPipeline, IndexingPipeline, Config
+    from codexlens_search.core import create_ann_index, create_binary_index
+    from codexlens_search.embed.local import FastEmbedEmbedder
+    from codexlens_search.rerank.api import APIReranker
+"""
+from codexlens_search.config import Config
+from codexlens_search.indexing import IndexingPipeline, IndexStats
+from codexlens_search.search.pipeline import SearchPipeline, SearchResult
+
+__all__ = [
+    "Config",
+    "IndexingPipeline",
+    "IndexStats",
+    "SearchPipeline",
+    "SearchResult",
+]

codex-lens-v2/src/codexlens_search/core/binary.py

@@ -6,8 +6,8 @@ from pathlib import Path
 
 import numpy as np
 
-from codexlens.config import Config
-from codexlens.core.base import BaseBinaryIndex
+from codexlens_search.config import Config
+from codexlens_search.core.base import BaseBinaryIndex
 
 logger = logging.getLogger(__name__)
 

codex-lens-v2/src/codexlens_search/core/factory.py

@@ -3,8 +3,8 @@ from __future__ import annotations
 import logging
 from pathlib import Path
 
-from codexlens.config import Config
-from codexlens.core.base import BaseANNIndex, BaseBinaryIndex
+from codexlens_search.config import Config
+from codexlens_search.core.base import BaseANNIndex, BaseBinaryIndex
 
 logger = logging.getLogger(__name__)
 
@@ -52,22 +52,22 @@ def create_ann_index(path: str | Path, dim: int, config: Config) -> BaseANNIndex
     backend = config.ann_backend
 
     if backend == "faiss":
-        from codexlens.core.faiss_index import FAISSANNIndex
+        from codexlens_search.core.faiss_index import FAISSANNIndex
         return FAISSANNIndex(path, dim, config)
 
     if backend == "hnswlib":
-        from codexlens.core.index import ANNIndex
+        from codexlens_search.core.index import ANNIndex
         return ANNIndex(path, dim, config)
 
     # auto: try faiss first, then hnswlib
     if _FAISS_AVAILABLE:
-        from codexlens.core.faiss_index import FAISSANNIndex
+        from codexlens_search.core.faiss_index import FAISSANNIndex
         gpu_tag = " (GPU available)" if _has_faiss_gpu() else " (CPU)"
         logger.info("Auto-selected FAISS ANN backend%s", gpu_tag)
         return FAISSANNIndex(path, dim, config)
 
     if _HNSWLIB_AVAILABLE:
-        from codexlens.core.index import ANNIndex
+        from codexlens_search.core.index import ANNIndex
         logger.info("Auto-selected hnswlib ANN backend")
         return ANNIndex(path, dim, config)
 
@@ -97,20 +97,20 @@ def create_binary_index(
     backend = config.binary_backend
 
     if backend == "faiss":
-        from codexlens.core.faiss_index import FAISSBinaryIndex
+        from codexlens_search.core.faiss_index import FAISSBinaryIndex
         return FAISSBinaryIndex(path, dim, config)
 
     if backend == "hnswlib":
-        from codexlens.core.binary import BinaryStore
+        from codexlens_search.core.binary import BinaryStore
         return BinaryStore(path, dim, config)
 
     # auto: try faiss first, then numpy-based BinaryStore
     if _FAISS_AVAILABLE:
-        from codexlens.core.faiss_index import FAISSBinaryIndex
+        from codexlens_search.core.faiss_index import FAISSBinaryIndex
         logger.info("Auto-selected FAISS binary backend")
         return FAISSBinaryIndex(path, dim, config)
 
     # numpy BinaryStore is always available (no extra deps)
-    from codexlens.core.binary import BinaryStore
+    from codexlens_search.core.binary import BinaryStore
     logger.info("Auto-selected numpy BinaryStore backend")
     return BinaryStore(path, dim, config)

codex-lens-v2/src/codexlens_search/core/faiss_index.py

@@ -7,8 +7,8 @@ from pathlib import Path
 
 import numpy as np
 
-from codexlens.config import Config
-from codexlens.core.base import BaseANNIndex, BaseBinaryIndex
+from codexlens_search.config import Config
+from codexlens_search.core.base import BaseANNIndex, BaseBinaryIndex
 
 logger = logging.getLogger(__name__)
 

codex-lens-v2/src/codexlens_search/core/index.py

@@ -6,8 +6,8 @@ from pathlib import Path
 
 import numpy as np
 
-from codexlens.config import Config
-from codexlens.core.base import BaseANNIndex
+from codexlens_search.config import Config
+from codexlens_search.core.base import BaseANNIndex
 
 logger = logging.getLogger(__name__)
 

codex-lens-v2/src/codexlens_search/indexing/pipeline.py

@@ -14,11 +14,11 @@ from pathlib import Path
 
 import numpy as np
 
-from codexlens.config import Config
-from codexlens.core.binary import BinaryStore
-from codexlens.core.index import ANNIndex
-from codexlens.embed.base import BaseEmbedder
-from codexlens.search.fts import FTSEngine
+from codexlens_search.config import Config
+from codexlens_search.core.binary import BinaryStore
+from codexlens_search.core.index import ANNIndex
+from codexlens_search.embed.base import BaseEmbedder
+from codexlens_search.search.fts import FTSEngine
 
 logger = logging.getLogger(__name__)
 

codex-lens-v2/src/codexlens_search/rerank/api.py

@@ -5,7 +5,7 @@ import time
 
 import httpx
 
-from codexlens.config import Config
+from codexlens_search.config import Config
 from .base import BaseReranker
 
 logger = logging.getLogger(__name__)

codex-lens-v2/src/codexlens_search/rerank/local.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from codexlens.config import Config
+from codexlens_search.config import Config
 from .base import BaseReranker
 
 

codex-lens-v2/tests/integration/conftest.py

@@ -3,12 +3,12 @@ import numpy as np
 import tempfile
 from pathlib import Path
 
-from codexlens.config import Config
-from codexlens.core import ANNIndex, BinaryStore
-from codexlens.embed.base import BaseEmbedder
-from codexlens.rerank.base import BaseReranker
-from codexlens.search.fts import FTSEngine
-from codexlens.search.pipeline import SearchPipeline
+from codexlens_search.config import Config
+from codexlens_search.core import ANNIndex, BinaryStore
+from codexlens_search.embed.base import BaseEmbedder
+from codexlens_search.rerank.base import BaseReranker
+from codexlens_search.search.fts import FTSEngine
+from codexlens_search.search.pipeline import SearchPipeline
 
 # Test documents: 20 code snippets with id, path, content
 TEST_DOCS = [

codex-lens-v2/tests/unit/test_config.py

@@ -1,4 +1,4 @@
-from codexlens.config import Config
+from codexlens_search.config import Config
 
 
 def test_config_instantiates_no_args():

codex-lens-v2/tests/unit/test_core.py

@@ -8,8 +8,8 @@ from pathlib import Path
 import numpy as np
 import pytest
 
-from codexlens.config import Config
-from codexlens.core import ANNIndex, BinaryStore
+from codexlens_search.config import Config
+from codexlens_search.core import ANNIndex, BinaryStore
 
 
 DIM = 32

codex-lens-v2/tests/unit/test_embed.py

@@ -18,9 +18,9 @@ def _make_fastembed_mock():
 
 _make_fastembed_mock()
 
-from codexlens.config import Config  # noqa: E402
-from codexlens.embed.base import BaseEmbedder  # noqa: E402
-from codexlens.embed.local import EMBED_PROFILES, FastEmbedEmbedder  # noqa: E402
+from codexlens_search.config import Config  # noqa: E402
+from codexlens_search.embed.base import BaseEmbedder  # noqa: E402
+from codexlens_search.embed.local import EMBED_PROFILES, FastEmbedEmbedder  # noqa: E402
 
 
 class TestEmbedSingle(unittest.TestCase):

codex-lens-v2/tests/unit/test_rerank.py

@@ -5,10 +5,10 @@ from unittest.mock import MagicMock, patch
 
 import pytest
 
-from codexlens.config import Config
-from codexlens.rerank.base import BaseReranker
-from codexlens.rerank.local import FastEmbedReranker
-from codexlens.rerank.api import APIReranker
+from codexlens_search.config import Config
+from codexlens_search.rerank.base import BaseReranker
+from codexlens_search.rerank.local import FastEmbedReranker
+from codexlens_search.rerank.api import APIReranker
 
 
 # ---------------------------------------------------------------------------

codex-lens-v2/tests/unit/test_search.py

@@ -5,16 +5,16 @@ from unittest.mock import MagicMock
 
 import pytest
 
-from codexlens.search.fts import FTSEngine
-from codexlens.search.fusion import (
+from codexlens_search.search.fts import FTSEngine
+from codexlens_search.search.fusion import (
     DEFAULT_WEIGHTS,
     QueryIntent,
     detect_query_intent,
     get_adaptive_weights,
     reciprocal_rank_fusion,
 )
-from codexlens.search.pipeline import SearchPipeline, SearchResult
-from codexlens.config import Config
+from codexlens_search.search.pipeline import SearchPipeline, SearchResult
+from codexlens_search.config import Config
 
 
 # ---------------------------------------------------------------------------