test

Dockerfile

@@ -9,6 +9,8 @@ COPY . /app/
 
 RUN mkdir -p /app/src/core/logs && chmod -R 777 /app/src/core/logs
 
+RUN mkdir -p /app/src/core/cache/downloads && chmod -R 777 /app/src/core/cache
+
 RUN apt-get update && \
     apt-get install -y redis-server && \
     apt-get clean && rm -rf /var/lib/apt/lists/*

src/api/v1/build_ml_plan/eda.py

@@ -20,6 +20,6 @@ async def main(response: EdaRequestSchema):
     delete_dir_contents(directory="src/core/cache/dataset_logs")
     delete_dir_contents(directory="src/core/cache/downloads")
 
-    return {
+    return {    
         "execution_logs": logs
     }

src/api/v1/eda_engine/data_quality.py

@@ -32,7 +32,7 @@ async def main(file: UploadFile = File(...), ml_task: str = Form(None)):
     '''Clears the /downloads folder and stores the recieved file under 'dataset.csv' '''
     
     downloads_path = "src/core/cache/downloads"
-    os.makedirs(downloads_path, exist_ok=True)
+    # os.makedirs(downloads_path, exist_ok=True)
     delete_dir_contents(downloads_path)
     destination_path = os.path.join(downloads_path, "dataset.csv")
     with open(destination_path, "wb") as buffer:

src/api/v1/eda_engine/data_statistics.py

@@ -34,7 +34,7 @@ async def main(file: UploadFile = File(...),  ml_task: str = Form(None)):
     '''Clears the /downloads folder and stores the recieved file under 'dataset.csv' '''
     
     downloads_path = "src/core/cache/downloads"
-    os.makedirs(downloads_path, exist_ok=True)
+    # os.makedirs(downloads_path, exist_ok=True)
     delete_dir_contents(downloads_path)
     destination_path = os.path.join(downloads_path, "dataset.csv")
     with open(destination_path, "wb") as buffer:

src/api/v1/eda_engine/data_understanding.py

@@ -34,7 +34,7 @@ async def main(file: UploadFile = File(...), business_requirements: Optional[str
     '''Clears the /downloads folder and stores the recieved file under 'dataset.csv' '''
     
     downloads_path = "src/core/cache/downloads"
-    os.makedirs(downloads_path, exist_ok=True)
+    # os.makedirs(downloads_path, exist_ok=True)
     delete_dir_contents(downloads_path)
     destination_path = os.path.join(downloads_path, "dataset.csv")
     with open(destination_path, "wb") as buffer:

src/api/v1/eda_engine/univariate_analysis.py

@@ -34,7 +34,7 @@ async def main(file: UploadFile = File(...), ml_task: str = Form(None)):
     '''Clears the /downloads folder and stores the recieved file under 'dataset.csv' '''
     
     downloads_path = "src/core/cache/downloads"
-    os.makedirs(downloads_path, exist_ok=True)
+    # os.makedirs(downloads_path, exist_ok=True)
     delete_dir_contents(downloads_path)
     destination_path = os.path.join(downloads_path, "dataset.csv")
     with open(destination_path, "wb") as buffer: