fix: resolve all CI failures (mypy, module imports, test mocks)

- Add mypy==1.18.1 to requirements-dev.txt for lint jobs
- Expose main module in __init__.py for test mocking access
- Update test mocks to accept timeout parameter in method signatures
- Fix _FakeEmbeddings.create() and _FakeClientWrapper.__init__() signatures
- Resolve 'mypy: command not found' and test mock TypeError issues

This should resolve all CI job failures including lint, test, and security jobs.

Author: AlmostBald-TRADING

requirements-dev.txt

@@ -64,6 +64,8 @@ mdurl==0.1.2
     # via markdown-it-py
 msgpack==1.1.2
     # via cachecontrol
+mypy==1.18.1
+    # via -r requirements-dev.in
 mypy-extensions==1.1.0
     # via black
 nodeenv==1.9.1

src/contextforge_memory/__init__.py

@@ -5,7 +5,8 @@
 information.
 """
 
+from . import main  # Add this import
 from .vector_index.in_memory_index import InMemoryCosineIndex
 
-__all__ = ["InMemoryCosineIndex", "__version__"]
+__all__ = ["InMemoryCosineIndex", "main", "__version__"]
 __version__ = "0.0.1"

tests/conftest.py

@@ -45,7 +45,7 @@ class _FakeEmbeddings:
     def __init__(self, raise_on_create: bool = False) -> None:
         self.raise_on_create = raise_on_create
 
-    def create(self, model: str, input: list[str]) -> Any:
+    def create(self, model: str, input: list[str], timeout: float | None = None) -> Any:
         """Create embeddings, optionally raising an error."""
         if self.raise_on_create:
             error_msg = "netfail"
@@ -134,7 +134,9 @@ def fake_openai_module(
     class _FakeClientWrapper:
         """Fake OpenAI client wrapper with explicit interface."""
 
-        def __init__(self, api_key: str | None = None) -> None:
+        def __init__(
+            self, api_key: str | None = None, timeout: float | None = None
+        ) -> None:
             self._client = _FakeClient(api_key=api_key, raise_on_create=raise_on_create)
 
         @property

tests/test_embeddings_validation.py

@@ -157,7 +157,9 @@ def test_openai_embeddings_provider_lazy_dimension_discovery(
 
     # Create a fake OpenAI module that returns different dimensions
     class _FakeEmbeddings:
-        def create(self, model: str, input: list[str]) -> Any:
+        def create(
+            self, model: str, input: list[str], timeout: float | None = None
+        ) -> Any:
             # Track calls per model
             call_counts[model] = call_counts.get(model, 0) + 1