auto-commit to deploy afsar

requirements.txt

@@ -1,40 +1,27 @@
-annotated-types==0.6.0
 anyio==4.3.0
 certifi==2024.2.2
 charset-normalizer==3.3.2
-click==8.1.7
-einops==0.8.0
-fastapi==0.110.3
-filelock==3.14.0
-fsspec==2024.3.1
 h11==0.14.0
-huggingface-hub==0.22.2
+HASS-data-detective==3.0
+hassapi==0.2.1
+httpcore==1.0.5
+httpx==0.27.0
 idna==3.7
-Jinja2==3.1.3
+install==1.3.5
 loguru==0.7.2
-MarkupSafe==2.1.5
-mpmath==1.3.0
-networkx==3.3
 numpy==1.26.4
-packaging==24.0
-pillow==10.3.0
-pydantic==2.7.1
-pydantic_core==2.18.2
-python-multipart==0.0.9
-PyYAML==6.0.1
-regex==2024.4.28
+ollama==0.1.9
+opencv-python==4.9.0.80
+pandas==2.2.2
+psycopg2-binary==2.9.9
+python-dateutil==2.9.0.post0
+pytz==2024.1
 requests==2.31.0
-safetensors==0.4.3
-setuptools==69.5.1
+ruamel.yaml==0.18.6
+ruamel.yaml.clib==0.2.8
+six==1.16.0
 sniffio==1.3.1
-starlette==0.37.2
-sympy==1.12
-tokenizers==0.19.1
-torch
-torchvision
-tqdm==4.66.2
-transformers==4.40.1
+SQLAlchemy==2.0.29
 typing_extensions==4.11.0
+tzdata==2024.1
 urllib3==2.2.1
-uvicorn==0.29.0
-wheel==0.43.0

src/main.py

@@ -2,10 +2,10 @@ import time
 
 from loguru import logger
 
-from src import tasks
-from src.services.cam import CameraService
-from src.services.llms import OllamaApi
-from src.services.ha import HomeassistantApi
+import tasks
+from services.cam import CameraService
+from services.llms import OllamaApi
+from services.ha import HomeassistantApi
 
 haapi = HomeassistantApi()
 camera = CameraService()

src/services/cam.py

@@ -15,7 +15,7 @@ class CameraService:
         in_memory_file = io.BytesIO(byte_im)
 
         # Save the image to a file in the tmp directory with a timestamp
-        timestamp = datetime.datetime.now().strftime("%Y%m%d %H%M")
+        timestamp = datetime.datetime.now().strftime("%Y%m%d-%H%M")
         filename = f"/Users/tcudikel/Dev/agent-home-security/tmp/archive/image_{timestamp}.jpg"
         with open(filename, 'wb') as f:
             f.write(byte_im)

src/tasks.py

@@ -8,7 +8,7 @@ def run_visual_analyze(llm, image_file):
     prompt_visual = "please describe this image"
     visual_analyze = llm.oneshot_multimodal(
         prompt=prompt_visual,
-        path_image="/Users/tcudikel/Dev/agent-home-security/tmp/photo2.jpg"
+        path_image=image_file
     )
     logger.info(visual_analyze)
     return visual_analyze