chore: Update dependencies and remove unused code

environment.yml

@@ -79,7 +79,6 @@ dependencies:
   - libbrotlidec=1.1.0=hcfcfb64_1
   - libbrotlienc=1.1.0=hcfcfb64_1
   - libcblas=3.9.0=21_win64_mkl
-  - libclang=14.0.6=default_hb5a9fac_1
   - libclang13=14.0.6=default_h8e68704_1
   - libdeflate=1.17=h2bbff1b_1
   - libexpat=2.5.0=h63175ca_1
@@ -194,4 +193,58 @@ dependencies:
   - zipp=3.17.0=pyhd8ed1ab_0
   - zlib=1.2.13=hcfcfb64_5
   - zstd=1.5.5=h12be248_0
-prefix: C:\Users\jerin\anaconda3\envs\smartbuilding
+  - pip:
+      - absl-py==2.1.0
+      - aiohttp==3.9.3
+      - aiosignal==1.3.1
+      - astunparse==1.6.3
+      - blinker==1.8.2
+      - cachetools==5.3.3
+      - einops==0.7.0
+      - flatbuffers==24.3.25
+      - frozenlist==1.4.1
+      - gast==0.5.4
+      - gitdb==4.0.11
+      - gitpython==3.1.43
+      - google-pasta==0.2.0
+      - grpcio==1.62.2
+      - h5py==3.11.0
+      - joblib==1.3.2
+      - keras==3.3.3
+      - libclang==18.1.1
+      - lightning==2.2.1
+      - lightning-utilities==0.11.0
+      - markdown==3.6
+      - ml-dtypes==0.3.2
+      - mpmath==1.3.0
+      - multidict==6.0.5
+      - namex==0.0.8
+      - networkx==3.2.1
+      - opt-einsum==3.3.0
+      - optree==0.11.0
+      - paho-mqtt==2.1.0
+      - plotly==5.22.0
+      - protobuf==4.25.3
+      - pyarrow==16.1.0
+      - pydeck==0.9.1
+      - pytorch-lightning==2.2.1
+      - scikit-learn==1.4.1.post1
+      - smmap==5.0.1
+      - streamlit==1.35.0
+      - sympy==1.12
+      - tenacity==8.3.0
+      - tensorboard==2.16.2
+      - tensorboard-data-server==0.7.2
+      - tensorflow==2.16.1
+      - tensorflow-intel==2.16.1
+      - tensorflow-io-gcs-filesystem==0.31.0
+      - termcolor==2.4.0
+      - threadpoolctl==3.4.0
+      - toml==0.10.2
+      - torch==2.2.1
+      - torchmetrics==1.3.2
+      - watchdog==4.0.1
+      - werkzeug==3.0.2
+      - wrapt==1.16.0
+      - yarl==1.9.4
+prefix: D:\anaconda3\envs\smartbuilding

src/test_main.py

@@ -2,6 +2,7 @@ from energy_prediction.EnergyPredictionNorth import EnergyPredictionNorth
 from energy_prediction.EnergyPredictionSouth import EnergyPredictionSouth
 from energy_prediction.EnergyPredictionPipeline import EnergyPredictionPipeline
 
+
 def main():
     # Energy Prediction North wing
     EnergyPredictionNorth = EnergyPredictionNorth(
@@ -11,9 +12,11 @@ def main():
 
     def on_message(client, userdata, message):
         df = EnergyPredictionPipeline.fit(message)
-        
+
         if not df is None:
-            out_vav = EnergyPredictionNorth.pipeline(df, EnergyPredictionPipeline.scaler)
+            out_vav = EnergyPredictionNorth.pipeline(
+                df, EnergyPredictionPipeline.scaler
+            )
 
     broker_address = "localhost"
     broker_port = 1883
@@ -25,5 +28,6 @@ def main():
     client.subscribe(topic)
     client.loop_forever()
 
+
 if __name__ == "__main__":
-    main()
+    main()