SUNNY BHAVEEN CHANDRA
commited on
Commit
•
1775293
0
Parent(s):
Initial commit
Browse files- .github/workflows/ci-cd.yml +1 -0
- .gitignore +143 -0
- LICENSE +21 -0
- MLproject +7 -0
- README.md +34 -0
- configs/config.yaml +20 -0
- init_setup.sh +15 -0
- logs/running_logs.log +0 -0
- params.yaml +1 -0
- requirements.txt +9 -0
- setup.py +26 -0
- src/__init__.py +1 -0
- src/stage_00_template.py +40 -0
- src/utils/__init__.py +1 -0
- src/utils/common.py +24 -0
.github/workflows/ci-cd.yml
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# add ci-cd steps here
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.gitignore
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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37 |
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pip-log.txt
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38 |
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# if using pycharm
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.idea
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# if using VScode
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.vscode
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# add secret keys or API keys here
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configs/secrets.yaml
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# add your env folder here if its there
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mlruns/
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LICENSE
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MIT License
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Copyright (c) 2021 SUNNY BHAVEEN CHANDRA
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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MLproject
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name: MLflow-app
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conda_env: conda.yaml
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entry_points:
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main:
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command: "python main.py"
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README.md
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# MLflow-project-template
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MLflow project template
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## STEPS -
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### STEP 01- Create a repository by using template repository
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### STEP 02- Clone the new repository
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### STEP 03- Create a conda environment after opening the repository in VSCODE
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```bash
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conda create --prefix ./env python=3.7 -y
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```
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```bash
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conda activate ./env
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```
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OR
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```bash
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source activate ./env
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```
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### STEP 04- install the requirements
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```bash
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pip install -r requirements.txt
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```
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### STEP 05 - Create conda.yaml file -
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```bash
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conda env export > conda.yaml
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```
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### STEP 06- commit and push the changes to the remote repository
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configs/config.yaml
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# It contains all the configs required in the project
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artifacts:
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ARTIFACTS_DIR: artifacts
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TRAINED_MODEL_DIR: model
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BASE_MODEL_DIR: base_model
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BASE_MODEL_NAME: base_model.h5
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UPDATED_BASE_MODEL_NAME: updated_base_model.h5
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CHECKPOINT_DIR: checkpoints
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BASE_LOG_DIR: base_model_dir
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TENSORBOARD_ROOT_LOG_DIR: tensorboard_log_dir
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CALLBACKS_DIR: callbacks
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source_download_dirs:
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- path_to_data_1
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- path_to_data_1
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local_data_dirs:
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- path_to_local_data_1
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- path_to_local_data_2
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init_setup.sh
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echo [$(date)]: "START"
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export _VERSION_=3.7
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echo [$(date)]: "creating environment with python ${_VERSION_}"
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conda create --prefix ./env python=${_VERSION_} -y
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echo [$(date)]: "activate environment"
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source activate ./env
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echo [$(date)]: "install requirements"
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pip install -r requirements.txt
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echo [$(date)]: "export conda environment"
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conda env export > conda.yaml
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echo [$(date)]: "END"
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# to remove everything -
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# rm -rf env/ .gitignore conda.yaml README.md .git/
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logs/running_logs.log
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params.yaml
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# This contains params to be used by the stages to train or predict
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requirements.txt
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### dependency
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tqdm
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mlflow
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pandas
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numpy
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PyYAML
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### local packages -
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# -e . # << uncomment this to install from setup.py
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setup.py
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from setuptools import setup
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with open("README.md", "r", encoding="utf-8") as f:
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long_description = f.read()
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## edit below variables as per your requirements -
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REPO_NAME = "MLflow-project-template"
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AUTHOR_USER_NAME = "c17hawke"
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SRC_REPO = "src"
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LIST_OF_REQUIREMENTS = []
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setup(
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name=SRC_REPO,
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version="0.0.1",
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author=AUTHOR_USER_NAME,
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description="A small package for MLflow app",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url=f"https://github.com/{AUTHOR_USER_NAME}/{REPO_NAME}",
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author_email="[email protected]",
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packages=[SRC_REPO],
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license="MIT",
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python_requires=">=3.6",
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install_requires=LIST_OF_REQUIREMENTS
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)
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src/__init__.py
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src/stage_00_template.py
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import argparse
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import os
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import shutil
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from tqdm import tqdm
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import logging
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from src.utils.common import read_yaml, create_directories
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import random
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STAGE = "STAGE_NAME" ## <<< change stage name
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logging.basicConfig(
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filename=os.path.join("logs", 'running_logs.log'),
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level=logging.INFO,
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format="[%(asctime)s: %(levelname)s: %(module)s]: %(message)s",
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filemode="a"
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)
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def main(config_path, params_path):
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## read config files
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config = read_yaml(config_path)
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params = read_yaml(params_path)
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pass
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if __name__ == '__main__':
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args = argparse.ArgumentParser()
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args.add_argument("--config", "-c", default="configs/config.yaml")
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args.add_argument("--params", "-p", default="params.yaml")
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parsed_args = args.parse_args()
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try:
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logging.info("\n********************")
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logging.info(f">>>>> stage {STAGE} started <<<<<")
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main(config_path=parsed_args.config, params_path=parsed_args.params)
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logging.info(f">>>>> stage {STAGE} completed!<<<<<\n")
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except Exception as e:
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logging.exception(e)
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raise e
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src/utils/__init__.py
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1 |
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src/utils/common.py
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import os
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import yaml
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import logging
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import time
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import pandas as pd
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import json
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def read_yaml(path_to_yaml: str) -> dict:
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with open(path_to_yaml) as yaml_file:
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content = yaml.safe_load(yaml_file)
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logging.info(f"yaml file: {path_to_yaml} loaded successfully")
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return content
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def create_directories(path_to_directories: list) -> None:
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for path in path_to_directories:
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os.makedirs(path, exist_ok=True)
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logging.info(f"created directory at: {path}")
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def save_json(path: str, data: dict) -> None:
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with open(path, "w") as f:
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json.dump(data, f, indent=4)
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logging.info(f"json file saved at: {path}")
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