add model api

.gitignore

@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# 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/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

Makefile

@@ -6,7 +6,7 @@ lint:
 .PHONY: test
 test:
 	python3 -m pytest --version
-	python3 -m pytest tests
+	python3 -m pytest src/tests
 .PHONY: black
 black:
 	python3 -m black --version

pyproject.toml

@@ -0,0 +1,3 @@
+[build-system]
+requires  =  ["setuptools"]
+build-backend  =  "setuptools.build_meta"

setup.cfg

@@ -0,0 +1,8 @@
+[metadata]
+name = mypackage
+version = 0.0.1
+
+[options]
+install_requires =
+    requests
+    importlib-metadata; python_version < "3.8"

src/main.py

@@ -0,0 +1,34 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+from typing import Dict
+
+from pipelines import train_pipeline, predict_pipeline
+
+app = FastAPI()
+
+
+class InputData(BaseModel):
+    pass  # ToDo: finish implementation
+
+
+@app.get("/train/")
+def train():
+    print("Retraining the model")
+    train_pipeline()
+    return "Success"
+
+
+@app.post("/predict/")
+def predict(input_data: Dict):
+    # input_data = InputDate(**input_data)
+    if input_data["mode"] == "test":
+        pred = predict_pipeline(X_test=None)
+    else:
+        pred = predict_pipeline(X_test=input_data)
+    return {"results": pred.tolist()}
+
+
+@app.get("/hello-world/")
+def hello_world():
+    return "Hello World"

pipeline.py → src/pipelines.py

@@ -1,6 +1,9 @@
+import pickle
+
 from sklearn.preprocessing import LabelEncoder
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.pipeline import make_pipeline
+import pandas as pd
 
 from preprocessing import PreProcessor
 from featurizing import Featurizer
@@ -18,7 +21,16 @@ def train_pipeline():
     pipe = make_pipeline(featurization_pipeline, rfc)
     print("Model fit")
     pipe.fit(X_train, y_train)
+    pickle.dump(pipe, open("./models/rfc.pkl", "wb"))
+    X_test.to_csv("./data/X_test.csv")
+
 
+def predict_pipeline(X_test=None):
+    # Assumption that data ispreprocessed already
+    if X_test is None:
+        # Use dummy data then
+        X_test = pd.read_csv("./data/X_test.csv")
 
-if __name__ == "__main__":
-    train_pipeline()
+    # Use the featurization and model pipeline
+    model = pickle.load(open("./models/rfc.pkl", "rb"))
+    return model.predict(X_test)

tests/test_base.py

@@ -1,6 +1,6 @@
 from abc import ABC
 
-from base import Runner
+from src.base import Runner
 
 
 def test_runner_init():

tests/test_featurizing.py

@@ -1,9 +1,8 @@
 import pytest
-import pandas as pd
 
-from preprocessing import PreProcessor
-from featurizing import Featurizer
-from base import Runner
+from src.preprocessing import PreProcessor
+from src.featurizing import Featurizer
+from src.base import Runner
 
 
 @pytest.fixture

tests/test_preprocessing.py

@@ -1,8 +1,8 @@
 import pytest
 import pandas as pd
 
-from preprocessing import PreProcessor
-from base import Runner
+from src.preprocessing import PreProcessor
+from src.base import Runner
 
 
 @pytest.fixture