[AZ-180] Enhance setup and improve inference logging

- Added a new Cython extension for the engine factory to the setup configuration.
- Updated the inference module to include additional logging for video batch processing and annotation callbacks.
- Refactored test cases to standardize the detection endpoint responses and include channel IDs in headers for better event handling.

src/engines/engine_factory.pyx

@@ -1,5 +1,6 @@
 import os
 import tempfile
+from loader_http_client cimport LoaderHttpClient, LoadResult
 
 
 class EngineFactory:
@@ -8,7 +9,9 @@ class EngineFactory:
     def create(self, model_bytes: bytes):
         raise NotImplementedError
 
-    def load_engine(self, loader_client, models_dir: str):
+    def load_engine(self, LoaderHttpClient loader_client, str models_dir):
+        cdef str filename
+        cdef LoadResult res
         filename = self._get_ai_engine_filename()
         if filename is None:
             return None
@@ -20,13 +23,13 @@ class EngineFactory:
             pass
         return None
 
-    def _get_ai_engine_filename(self) -> str | None:
+    def _get_ai_engine_filename(self):
         return None
 
-    def get_source_filename(self) -> str | None:
+    def get_source_filename(self):
         return None
 
-    def build_from_source(self, onnx_bytes: bytes, loader_client, models_dir: str):
+    def build_from_source(self, onnx_bytes, loader_client, models_dir):
         raise NotImplementedError(f"{type(self).__name__} does not support building from source")
 
 
@@ -35,7 +38,7 @@ class OnnxEngineFactory(EngineFactory):
         from engines.onnx_engine import OnnxEngine
         return OnnxEngine(model_bytes)
 
-    def get_source_filename(self) -> str:
+    def get_source_filename(self):
         import constants_inf
         return constants_inf.AI_ONNX_MODEL_FILE
 
@@ -45,7 +48,7 @@ class CoreMLEngineFactory(EngineFactory):
         from engines.coreml_engine import CoreMLEngine
         return CoreMLEngine(model_bytes)
 
-    def _get_ai_engine_filename(self) -> str:
+    def _get_ai_engine_filename(self):
         return "azaion_coreml.zip"
 
 
@@ -56,15 +59,15 @@ class TensorRTEngineFactory(EngineFactory):
         from engines.tensorrt_engine import TensorRTEngine
         return TensorRTEngine(model_bytes)
 
-    def _get_ai_engine_filename(self) -> str | None:
+    def _get_ai_engine_filename(self):
         from engines.tensorrt_engine import TensorRTEngine
         return TensorRTEngine.get_engine_filename()
 
-    def get_source_filename(self) -> str:
+    def get_source_filename(self):
         import constants_inf
         return constants_inf.AI_ONNX_MODEL_FILE
 
-    def build_from_source(self, onnx_bytes: bytes, loader_client, models_dir: str):
+    def build_from_source(self, onnx_bytes, loader_client, models_dir):
         from engines.tensorrt_engine import TensorRTEngine
         engine_bytes = TensorRTEngine.convert_from_source(onnx_bytes, None)
         return engine_bytes, TensorRTEngine.get_engine_filename()
@@ -75,11 +78,12 @@ class JetsonTensorRTEngineFactory(TensorRTEngineFactory):
         from engines.jetson_tensorrt_engine import JetsonTensorRTEngine
         return JetsonTensorRTEngine(model_bytes)
 
-    def _get_ai_engine_filename(self) -> str | None:
+    def _get_ai_engine_filename(self):
         from engines.tensorrt_engine import TensorRTEngine
         return TensorRTEngine.get_engine_filename("int8")
 
-    def build_from_source(self, onnx_bytes: bytes, loader_client, models_dir: str):
+    def build_from_source(self, onnx_bytes, LoaderHttpClient loader_client, str models_dir):
+        cdef str calib_cache_path
         from engines.tensorrt_engine import TensorRTEngine
         calib_cache_path = self._download_calib_cache(loader_client, models_dir)
         try:
@@ -92,10 +96,13 @@ class JetsonTensorRTEngineFactory(TensorRTEngineFactory):
                 except Exception:
                     pass
 
-    def _download_calib_cache(self, loader_client, models_dir: str) -> str | None:
+    def _download_calib_cache(self, LoaderHttpClient loader_client, str models_dir):
+        cdef LoadResult res
         import constants_inf
         try:
-            res = loader_client.load_big_small_resource(constants_inf.INT8_CALIB_CACHE_FILE, models_dir)
+            res = loader_client.load_big_small_resource(
+                constants_inf.INT8_CALIB_CACHE_FILE, models_dir
+            )
             if res.err is not None:
                 constants_inf.log(f"INT8 calibration cache not available: {res.err}")
                 return None