Remove unused deps from poetry build, speed test suite to ~16s (#130)

Makefile

@@ -92,10 +92,10 @@ test-integration:
 	$(PYTEST) tests -m "integration" --tb=short -v
 
 test-functional:
-	$(PYTEST) tests -m "functional and not slow and not selenium" --tb=short -v
+	$(PYTEST) tests -m "functional and not slow and not selenium" --tb=short -v -n0
 
 test-e2e:
-	$(PYTEST) tests -m "e2e" --tb=short -v
+	$(PYTEST) tests -m "e2e" --tb=short -v -n0
 
 test-fast:
 	$(PYTEST) tests -m "unit or integration" --tb=short -v

pyproject.toml

@@ -29,16 +29,9 @@ uvicorn = { version = ">=0.32.0", extras = ["standard"] }
 jinja2 = ">=3.1.0"
 httpx = ">=0.27.0"
 python-multipart = ">=0.0.12"
-aiofiles = ">=22.0.0"
 typer = ">=0.12.0"
 rich = ">=13.0.0"
 pydantic-settings = ">=2.0.0"
-websockets = ">=12.0"
-GitPython = ">=3.1.40"
-moviepy = ">=2.0.0"
-requests = ">=2.31.0"
-sentence-transformers = ">=2.0.0"  # Local embeddings for brain
-numpy = ">=1.24.0"
 # Optional extras
 redis = { version = ">=5.0.0", optional = true }
 celery = { version = ">=5.3.0", extras = ["redis"], optional = true }
@@ -46,6 +39,10 @@ python-telegram-bot = { version = ">=21.0", optional = true }
 "discord.py" = { version = ">=2.3.0", optional = true }
 airllm = { version = ">=2.9.0", optional = true }
 pyttsx3 = { version = ">=2.90", optional = true }
+sentence-transformers = { version = ">=2.0.0", optional = true }
+numpy = { version = ">=1.24.0", optional = true }
+requests = { version = ">=2.31.0", optional = true }
+GitPython = { version = ">=3.1.40", optional = true }
 pytest = { version = ">=8.0.0", optional = true }
 pytest-asyncio = { version = ">=0.24.0", optional = true }
 pytest-cov = { version = ">=5.0.0", optional = true }
@@ -60,6 +57,8 @@ discord = ["discord.py"]
 bigbrain = ["airllm"]
 voice = ["pyttsx3"]
 celery = ["celery"]
+embeddings = ["sentence-transformers", "numpy"]
+git = ["GitPython"]
 dev = ["pytest", "pytest-asyncio", "pytest-cov", "pytest-timeout", "pytest-randomly", "pytest-xdist", "selenium"]
 
 [tool.poetry.group.dev.dependencies]

pytest.ini

@@ -29,7 +29,8 @@ addopts =
     --tb=short
     --strict-markers
     --disable-warnings
-#    -n auto
+    -n auto
+    --dist worksteal
 
 # Coverage configuration
 [coverage:run]

src/brain/embeddings.py

@@ -7,7 +7,6 @@ from __future__ import annotations
 
 import json
 import logging
-import numpy as np
 from typing import List, Union
 
 logger = logging.getLogger(__name__)
@@ -47,7 +46,7 @@ class LocalEmbedder:
             logger.error("sentence-transformers not installed. Run: pip install sentence-transformers")
             raise
     
-    def encode(self, text: Union[str, List[str]]) -> np.ndarray:
+    def encode(self, text: Union[str, List[str]]):
         """Encode text to embedding vector(s).
         
         Args:
@@ -64,20 +63,22 @@ class LocalEmbedder:
     
     def encode_single(self, text: str) -> bytes:
         """Encode single text to bytes for SQLite storage.
-        
+
         Returns:
             Float32 bytes
         """
+        import numpy as np
         embedding = self.encode(text)
         if len(embedding.shape) > 1:
             embedding = embedding[0]
         return embedding.astype(np.float32).tobytes()
     
-    def similarity(self, a: np.ndarray, b: np.ndarray) -> float:
+    def similarity(self, a, b) -> float:
         """Compute cosine similarity between two vectors.
-        
+
         Vectors should already be normalized from encode().
         """
+        import numpy as np
         return float(np.dot(a, b))
 
 

src/brain/memory.py

@@ -106,6 +106,8 @@ class UnifiedMemory:
     def _get_embedder(self):
         """Lazy-load the embedding model."""
         if self._embedder is None:
+            if os.environ.get("TIMMY_SKIP_EMBEDDINGS") == "1":
+                return None
             try:
                 from brain.embeddings import LocalEmbedder
                 self._embedder = LocalEmbedder()

src/timmy/memory/vector_store.py

@@ -29,14 +29,14 @@ def _get_model():
     if _model is not None:
         return _model
     
+    import os
+    # In test mode or low-memory environments, skip embedding model load
+    if os.environ.get("TIMMY_SKIP_EMBEDDINGS") == "1":
+        _has_embeddings = False
+        return None
+
     try:
         from sentence_transformers import SentenceTransformer
-        import os
-        # In test mode or low-memory environments, we might want to skip this
-        if os.environ.get("TIMMY_SKIP_EMBEDDINGS") == "1":
-            _has_embeddings = False
-            return None
-            
         _model = SentenceTransformer('all-MiniLM-L6-v2')
         _has_embeddings = True
         return _model

src/timmy/semantic_memory.py

@@ -37,6 +37,10 @@ def _get_embedding_model():
     """Lazy-load embedding model."""
     global EMBEDDING_MODEL
     if EMBEDDING_MODEL is None:
+        import os
+        if os.environ.get("TIMMY_SKIP_EMBEDDINGS") == "1":
+            EMBEDDING_MODEL = False
+            return EMBEDDING_MODEL
         try:
             from sentence_transformers import SentenceTransformer
             EMBEDDING_MODEL = SentenceTransformer('all-MiniLM-L6-v2')

tests/conftest.py

@@ -13,7 +13,6 @@ try:
     from . import conftest_markers  # noqa: F401
 except ImportError:
     import conftest_markers  # noqa: F401
-from fastapi.testclient import TestClient
 
 # ── Stub heavy optional dependencies so tests run without them installed ──────
 # Uses setdefault: real module is used if already installed, mock otherwise.
@@ -134,6 +133,7 @@ def cleanup_event_loops():
 @pytest.fixture
 def client():
     """FastAPI test client with fresh app instance."""
+    from fastapi.testclient import TestClient
     from dashboard.app import app
     with TestClient(app) as c:
         yield c