Optimize deployment config

.dockerignore

@@ -0,0 +1,41 @@
+
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Virtual Environment
+.env
+.venv
+env/
+venv/
+ENV/
+
+# Project Specific (Heavy/Unnecessary for Docker)
+Artifact/
+Network_data/
+mlruns/
+deploy_stage/
+final_model/
+.git/
+.github/
+.vscode/

Dockerfile

@@ -14,6 +14,9 @@ COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir -r requirements.txt
 
+# Explicitly copy data_schema to ensure it exists
+COPY data_schema ./data_schema
+
 # Copy the rest of the application code
 COPY . .
 

networksecurity/constant/training_pipeline/__init__.py

@@ -14,7 +14,7 @@ FILE_NAME: str = "phisingkData.csv"
 TRAIN_FILE_NAME: str = "train.csv"
 TEST_FILE_NAME: str = "test.csv"
 
-SCHEMA_FILE_PATH = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))), "data_schema", "schema.yaml")
+SCHEMA_FILE_PATH = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))), "data_schema", "schema.yaml")
 
 SAVED_MODEL_DIR_NAME = os.path.join("saved_models")
 MODEL_FILE_NAME: str = "model.pkl"