add remaining DagsHub/Cookiecutter-MLOps repo content

.dvc/.gitignore

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+/config.local
+/tmp
+/cache

.dvc/config

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+['remote "origin"']
+    url = https://dagshub.com/DagsHub/Cookiecutter-MLOps.dvc

.dvcignore

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+# Add patterns of files dvc should ignore, which could improve
+# the performance. Learn more at
+# https://dvc.org/doc/user-guide/dvcignore

.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+/env/
+/build/
+/develop-eggs/
+/dist/
+/downloads/
+/eggs/
+/.eggs/
+/lib/
+/lib64/
+/parts/
+/sdist/
+/var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+
+# Sphinx documentation
+/docs/_build/
+
+# PyBuilder
+/target/
+
+# DotEnv configuration
+.env
+
+# Database
+*.db
+*.rdb
+
+# Pycharm
+.idea
+
+# VS Code
+.vscode/
+
+# Spyder
+.spyproject/
+
+# Jupyter NB Checkpoints
+.ipynb_checkpoints/
+
+# exclude data, trained models, and related utils from source control by default
+/models
+
+# Mac OS-specific storage files
+.DS_Store
+
+# vim
+*.swp
+*.swo
+
+# Mypy cache
+.mypy_cache/
+
+#Virtual Environment
+jointvenv/

.pre-commit-config.yaml

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+repos:
+  - repo: https://github.com/nbQA-dev/nbQA
+    rev: 1.5.3
+    hooks:
+      - id: nbqa-black
+      - id: nbqa-pyupgrade
+      - id: nbqa-isort
+  - repo: https://github.com/timothycrosley/isort
+    rev: 5.10.1
+    hooks:
+      - id: isort
+        args: [ --profile, black ]
+  - repo: https://github.com/psf/black
+    rev: 22.10.0
+    hooks:
+      - id: black
+  - repo: https://github.com/pre-commit/mirrors-mypy
+    rev: v0.991
+    hooks:
+      - id: mypy
+        args: [ --ignore-missing-imports, --pretty, --show-error-codes ]
+  - repo: https://github.com/asottile/pyupgrade
+    rev: v3.3.0
+    hooks:
+      - id: pyupgrade
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.3.0
+    hooks:
+      - id: check-ast
+      - id: check-case-conflict
+      - id: check-docstring-first
+      - id: check-json
+      - id: check-merge-conflict
+      - id: debug-statements
+      - id: check-symlinks
+      - id: check-yaml
+        args: [ --unsafe, --allow-multiple-documents ]
+      - id: detect-private-key
+      - id: end-of-file-fixer
+      - id: requirements-txt-fixer
+      - id: trailing-whitespace
+        args: [ --markdown-linebreak-ext=md ]

LICENSE

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+Apache License
+Version 2.0, January 2004
+http://www.apache.org/licenses/
+TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
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+9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability.
+
+END OF TERMS AND CONDITIONS
+
+APPENDIX: How to apply the Apache License to your work.
+
+To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives.
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+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
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+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.

Makefile

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+.PHONY: clean dirs virtualenv lint requirements push pull reproduce
+
+#################################################################################
+# GLOBALS                                                                       #
+#################################################################################
+
+PROJECT_DIR := $(shell dirname $(realpath $(lastword $(MAKEFILE_LIST))))
+PYTHON_INTERPRETER = python3
+
+#################################################################################
+# COMMANDS                                                                      #
+#################################################################################
+
+## Create virtualenv.
+## Activate with the command:
+## source env/bin/activate
+virtualenv:
+	$(PYTHON_INTERPRETER) -m venv env
+	$(info "Activate with the command 'source env/bin/activate'")
+
+## Install Python Dependencies.
+## Make sure you activate the virtualenv first!
+requirements:
+	$(PYTHON_INTERPRETER) -m pip install -U pip setuptools wheel
+	$(PYTHON_INTERPRETER) -m pip install -r requirements.txt
+
+## Create directories that are ignored by git but required for the project
+dirs:
+	mkdir -p data/raw data/processed models
+
+## Delete all compiled Python files
+clean:
+	find . -type f -name "*.py[co]" -delete
+	find . -type d -name "__pycache__" -delete
+
+## To use the pre-commit hooks
+pre-commit-install:
+	pre-commit install
+
+setup-data-validation:
+	cd src/data; great_expectations -y init; great_expectations datasource new
+
+run-data-validation:
+	cd src/data; python data_validation.py
+
+## Lint using flake8
+lint:
+	flake8 src
+
+## Upload Data to default DVC remote
+push:
+	dvc push -r origin
+
+## Download Data from default DVC remote
+pull:
+	dvc pull -r origin
+
+## Reproduce the DVC pipeline - recompute any modified outputs such as processed data or trained models
+reproduce:
+	dvc repro
+
+#################################################################################
+# PROJECT RULES                                                                 #
+#################################################################################
+
+
+
+#################################################################################
+# Self Documenting Commands                                                     #
+#################################################################################
+
+.DEFAULT_GOAL := reproduce
+
+# Inspired by <http://marmelab.com/blog/2016/02/29/auto-documented-makefile.html>
+# sed script explained:
+# /^##/:
+# 	* save line in hold space
+# 	* purge line
+# 	* Loop:
+# 		* append newline + line to hold space
+# 		* go to next line
+# 		* if line starts with doc comment, strip comment character off and loop
+# 	* remove target prerequisites
+# 	* append hold space (+ newline) to line
+# 	* replace newline plus comments by `---`
+# 	* print line
+# Separate expressions are necessary because labels cannot be delimited by
+# semicolon; see <http://stackoverflow.com/a/11799865/1968>
+.PHONY: help
+help:
+	@echo "$$(tput bold)Available rules:$$(tput sgr0)"
+	@echo
+	@sed -n -e "/^## / Missing" $Missing \
+	| LC_ALL='C' sort --ignore-case \
+	| awk -F '---' \
+		-v ncol=$$(tput cols) \
+		-v indent=19 \
+		-v col_on="$$(tput setaf 6)" \
+		-v col_off="$$(tput sgr0)" \
+	'Missing \
+			printf "%s ", words[i]; \
+		} \
+		printf "\n"; \
+	}' \
+	| more $(shell test $(shell uname) = Darwin && echo '--no-init --raw-control-chars')

data/.gitignore

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+/raw
+/processed

data/raw.dvc

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+outs:
+- md5: d751713988987e9331980363e24189ce.dir
+  size: 0
+  nfiles: 0
+  path: raw

dvc.lock

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+schema: '2.0'
+stages:
+  train:
+    cmd: python -m src.models.train_model
+    deps:
+    - path: data/processed
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
+    - path: src/models/train_model.py
+      md5: d41d8cd98f00b204e9800998ecf8427e
+      size: 0
+    outs:
+    - path: models
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
+    - path: reports/training_metrics.csv
+      md5: d41d8cd98f00b204e9800998ecf8427e
+      size: 0
+  eval:
+    cmd: python -m src.models.predict_model
+    deps:
+    - path: data/processed
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
+    - path: models
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
+    - path: src/models/predict_model.py
+      md5: d41d8cd98f00b204e9800998ecf8427e
+      size: 0
+    outs:
+    - path: reports/metrics.csv
+      md5: d41d8cd98f00b204e9800998ecf8427e
+      size: 0
+  process_data:
+    cmd: python -m src.data.make_dataset
+    deps:
+    - path: data/raw
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0
+    - path: src/data/make_dataset.py
+      md5: d41d8cd98f00b204e9800998ecf8427e
+      size: 0
+    outs:
+    - path: data/processed
+      md5: d751713988987e9331980363e24189ce.dir
+      size: 0
+      nfiles: 0

dvc.yaml

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+stages:
+  train:
+    cmd: python -m src.models.train_model
+    deps:
+    - data/processed
+    - src/models/train_model.py
+    outs:
+    - models:
+        persist: true
+    metrics:
+    - reports/training_metrics.csv:
+        cache: false
+  eval:
+    cmd: python -m src.models.predict_model
+    deps:
+    - data/processed
+    - models
+    - src/models/predict_model.py
+    metrics:
+    - reports/metrics.csv:
+        cache: false
+  process_data:
+    cmd: python -m src.data.make_dataset
+    deps:
+    - data/raw
+    - src/data/make_dataset.py
+    outs:
+    - data/processed:
+        persist: true

requirements.txt

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+# external requirements
+dvc==2.26.2
+pre-commit==2.20.0
+great_expectations==0.15.23

setup.py

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+from setuptools import find_packages, setup
+
+setup(
+    name="src",
+    packages=find_packages(),
+    version="0.1.0",
+)

src/data/data_validation.py

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+import great_expectations as ge
+from great_expectations.core.batch import BatchRequest
+from great_expectations.checkpoint import SimpleCheckpoint
+from great_expectations.exceptions import DataContextError
+
+"""
+**IMPORTANT**
+This file is meant to be run as an end-2-end test command.
+It is an example and might require changes to suit your data and use case.
+
+Please refer to the `example-project` branch of the Cookiecutter-MLOps project for a complete working example –
+https://dagshub.com/DagsHub/Cookiecutter-MLOps/src/example-project
+"""
+
+context = ge.data_context.DataContext()
+
+batch_request = {
+    "datasource_name": "{{fill in datasource name}}",
+    "data_connector_name": "default_inferred_data_connector_name",
+    "data_asset_name": "{{fill in names of files that have tests}}",  # Define the data files that should be tested
+    "limit": 1000,
+}
+
+# Feel free to change the name of your suite here. Renaming this will not remove the other one.
+expectation_suite_name = "{{fill in your test suite name}}"
+try:
+    suite = context.get_expectation_suite(expectation_suite_name=expectation_suite_name)
+    print(
+        f'Loaded ExpectationSuite "{suite.expectation_suite_name}" containing {len(suite.expectations)} expectations'
+    )
+except DataContextError:
+    suite = context.create_expectation_suite(
+        expectation_suite_name=expectation_suite_name
+    )
+    print(f'Created ExpectationSuite "{suite.expectation_suite_name}".')
+
+validator = context.get_validator(
+    batch_request=BatchRequest(**batch_request),
+    expectation_suite_name=expectation_suite_name,
+)
+
+checkpoint_config = {
+    "class_name": "SimpleCheckpoint",
+    "validations": [
+        {
+            "batch_request": batch_request,
+            "expectation_suite_name": expectation_suite_name,
+        }
+    ],
+}
+checkpoint = SimpleCheckpoint(
+    f"{validator.active_batch_definition.data_asset_name}_{expectation_suite_name}",
+    context,
+    **checkpoint_config,
+)
+checkpoint_result = checkpoint.run()
+
+context.build_data_docs()
+
+validation_result_identifier = checkpoint_result.list_validation_result_identifiers()[0]
+context.open_data_docs(resource_identifier=validation_result_identifier)

src/data/great_expectations/.gitignore

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+uncommitted/