#deep Classifier project

workflow

1. Update config.yaml
2. Update Secrets.yaml [Optional]
3. Update Params.yaml
4. Update the entity
5. Update configuration manager in src config.
6. Update the components
7. Update the pipeline
8. Test run pipeline stage
9. run tox for testing your package
10. Update the dvc.yaml
11. run "dvc repro" for running all stages in pipeline

Create folder structure using below code

import os from pathlib import Path import logging

logging.basicConfig(level=logging.INFO, format='[%(asctime)s]:%(message)s:') package_name = "deepClassifier"

list_of_files = [ ".github/workflows/.gitkeep", f"src/{package_name}/init.py", f"src/{package_name}/components/init.py", f"src/{package_name}/utils/init.py", f"src/{package_name}/config/init.py", f"src/{package_name}/pipeline/init.py", f"src/{package_name}/entity/init.py", f"src/{package_name}/constants/init.py", f"src/{package_name}/example/init.py", "tests/init.py", "tests/unit/init.py", "tests/integration/init.py", "research/trials.ipynb", "config/config.yaml", "dvc.yaml", "params.yaml", "init_setup.sh", "requirements.txt", "requirements_dev.txt", "setup.py", "setup.cfg", "pyproject.toml", "tox.ini", "research/trials.ipynb" ]

for filepath in list_of_files: filepath = Path(filepath) filedir, filename = os.path.split(filepath) if filedir != "": os.makedirs(filedir,exist_ok=True) logging.info(f"Creating directory: {filedir} for file:{filename}")

if (not os.path.exists(filepath)) or (os.path.getsize(filepath) == 0):
    with open(filepath, "w") as f:
        pass # create an empty file
        logging.info(f"Creating directory:{filedir}")

else:
    logging.info(f"{filename} already exists")

Folder structure code ends here