├── .dockerignore
├── .dvc
├── .gitignore
└── config
├── .dvcignore
├── .gitignore
├── .pre-commit-config.yaml
├── .vscode
└── settings.json
├── Dockerfile
├── LICENSE
├── README.md
├── app.py
├── artefacts
└── .gitignore
├── bin
├── build-dataset
├── evaluate
└── train-model
├── dvc.lock
├── dvc.yaml
├── prophet
├── __init__
├── config.py
├── data.py
├── dataset_builder.py
├── evaluator.py
├── text_classifier.py
└── trainer.py
├── pyproject.toml
├── tests
└── test_text_classifier.py
└── uv.lock
/.dockerignore:
--------------------------------------------------------------------------------
1 | .venv
--------------------------------------------------------------------------------
/.dvc/.gitignore:
--------------------------------------------------------------------------------
1 | /config.local
2 | /tmp
3 | /cache
4 |
--------------------------------------------------------------------------------
/.dvc/config:
--------------------------------------------------------------------------------
1 | [core]
2 | analytics = false
3 |
--------------------------------------------------------------------------------
/.dvcignore:
--------------------------------------------------------------------------------
1 | # Add patterns of files dvc should ignore, which could improve
2 | # the performance. Learn more at
3 | # https://dvc.org/doc/user-guide/dvcignore
4 |
--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
1 | # ruff
2 | .ruff_cache
3 | # Byte-compiled / optimized / DLL files
4 | __pycache__/
5 | *.py[cod]
6 | *$py.class
7 |
8 | # C extensions
9 | *.so
10 |
11 | # Distribution / packaging
12 | .Python
13 | build/
14 | develop-eggs/
15 | dist/
16 | downloads/
17 | eggs/
18 | .eggs/
19 | lib/
20 | lib64/
21 | parts/
22 | sdist/
23 | var/
24 | wheels/
25 | share/python-wheels/
26 | *.egg-info/
27 | .installed.cfg
28 | *.egg
29 | MANIFEST
30 |
31 | # PyInstaller
32 | # Usually these files are written by a python script from a template
33 | # before PyInstaller builds the exe, so as to inject date/other infos into it.
34 | *.manifest
35 | *.spec
36 |
37 | # Installer logs
38 | pip-log.txt
39 | pip-delete-this-directory.txt
40 |
41 | # Unit test / coverage reports
42 | htmlcov/
43 | .tox/
44 | .nox/
45 | .coverage
46 | .coverage.*
47 | .cache
48 | nosetests.xml
49 | coverage.xml
50 | *.cover
51 | *.py,cover
52 | .hypothesis/
53 | .pytest_cache/
54 | cover/
55 |
56 | # Translations
57 | *.mo
58 | *.pot
59 |
60 | # Django stuff:
61 | *.log
62 | local_settings.py
63 | db.sqlite3
64 | db.sqlite3-journal
65 |
66 | # Flask stuff:
67 | instance/
68 | .webassets-cache
69 |
70 | # Scrapy stuff:
71 | .scrapy
72 |
73 | # Sphinx documentation
74 | docs/_build/
75 |
76 | # PyBuilder
77 | .pybuilder/
78 | target/
79 |
80 | # Jupyter Notebook
81 | .ipynb_checkpoints
82 |
83 | # IPython
84 | profile_default/
85 | ipython_config.py
86 |
87 | # pyenv
88 | # For a library or package, you might want to ignore these files since the code is
89 | # intended to run in multiple environments; otherwise, check them in:
90 | # .python-version
91 |
92 | # pipenv
93 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
94 | # However, in case of collaboration, if having platform-specific dependencies or dependencies
95 | # having no cross-platform support, pipenv may install dependencies that don't work, or not
96 | # install all needed dependencies.
97 | #Pipfile.lock
98 |
99 | # UV
100 | # Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
101 | # This is especially recommended for binary packages to ensure reproducibility, and is more
102 | # commonly ignored for libraries.
103 | #uv.lock
104 |
105 | # poetry
106 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
107 | # This is especially recommended for binary packages to ensure reproducibility, and is more
108 | # commonly ignored for libraries.
109 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
110 | #poetry.lock
111 |
112 | # pdm
113 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
114 | #pdm.lock
115 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
116 | # in version control.
117 | # https://pdm.fming.dev/latest/usage/project/#working-with-version-control
118 | .pdm.toml
119 | .pdm-python
120 | .pdm-build/
121 |
122 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
123 | __pypackages__/
124 |
125 | # Celery stuff
126 | celerybeat-schedule
127 | celerybeat.pid
128 |
129 | # SageMath parsed files
130 | *.sage.py
131 |
132 | # Environments
133 | .env
134 | .venv
135 | env/
136 | venv/
137 | ENV/
138 | env.bak/
139 | venv.bak/
140 |
141 | # Spyder project settings
142 | .spyderproject
143 | .spyproject
144 |
145 | # Rope project settings
146 | .ropeproject
147 |
148 | # mkdocs documentation
149 | /site
150 |
151 | # mypy
152 | .mypy_cache/
153 | .dmypy.json
154 | dmypy.json
155 |
156 | # Pyre type checker
157 | .pyre/
158 |
159 | # pytype static type analyzer
160 | .pytype/
161 |
162 | # Cython debug symbols
163 | cython_debug/
164 |
165 | # PyCharm
166 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can
167 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
168 | # and can be added to the global gitignore or merged into this file. For a more nuclear
169 | # option (not recommended) you can uncomment the following to ignore the entire idea folder.
170 | #.idea/
171 |
172 | # PyPI configuration file
173 | .pypirc
174 | *.DS_Store
175 |
--------------------------------------------------------------------------------
/.pre-commit-config.yaml:
--------------------------------------------------------------------------------
1 | repos:
2 | - repo: https://github.com/astral-sh/ruff-pre-commit
3 | # Ruff version.
4 | rev: v0.8.4
5 | hooks:
6 | - id: ruff
7 | args: [ --fix ]
8 | - id: ruff-format
--------------------------------------------------------------------------------
/.vscode/settings.json:
--------------------------------------------------------------------------------
1 | {
2 | "[python]": {
3 | "editor.formatOnSave": true,
4 | "editor.defaultFormatter": "charliermarsh.ruff",
5 | "editor.codeActionsOnSave": {
6 | "source.fixAll": "explicit",
7 | "source.organizeImports": "explicit"
8 | }
9 | }
10 | }
--------------------------------------------------------------------------------
/Dockerfile:
--------------------------------------------------------------------------------
1 | FROM python:3.12-slim-bookworm
2 |
3 | # Set working directory
4 | WORKDIR /app
5 |
6 | # Install system dependencies
7 | RUN apt-get update && apt-get install -y --no-install-recommends \
8 | build-essential \
9 | curl \
10 | && rm -rf /var/lib/apt/lists/*
11 |
12 | # Download the latest installer
13 | ADD https://astral.sh/uv/install.sh /uv-installer.sh
14 |
15 | # Run the installer then remove it
16 | RUN sh /uv-installer.sh && rm /uv-installer.sh
17 |
18 | # Ensure the installed binary is on the `PATH` and use environment
19 | ENV PATH="/root/.local/bin/:$PATH"
20 | ENV PATH="/app/.venv/bin:$PATH"
21 |
22 | # Copy project files
23 |
24 | COPY pyproject.toml README.md app.py uv.lock ./
25 | COPY prophet prophet/
26 | COPY artefacts artefacts/
27 |
28 | # Install Python dependencies
29 | RUN uv sync --frozen
30 |
31 | # Expose port
32 | EXPOSE 8000
33 |
34 | # Run the FastAPI app
35 | CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2024 Venelin Valkov
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # ML Project Template
2 |
3 | Starter template for your Machine Learning/AI projects.
4 |
5 | Features:
6 |
7 | - [`dvc`](https://dvc.org/) for data versioning and pipeline management (reproducibility)
8 | - [`FastAPI`](https://fastapi.tiangolo.com/) for serving the model
9 | - [`uv`](https://docs.astral.sh/uv/) package manager
10 | - [`ruff`](https://docs.astral.sh/ruff/) for linting and formatting
11 | - [`pytest`](https://docs.pytest.org/en/stable/) for testing
12 | - [`loguru`](https://loguru.readthedocs.io/en/stable/) for logging
13 | - [`Docker`](https://www.docker.com/) for containerization
14 |
15 |
16 | ## Install
17 |
18 | Make sure you have [`uv` installed](https://docs.astral.sh/uv/getting-started/installation/).
19 |
20 | Clone the repository:
21 |
22 | ```bash
23 | git clone git@github.com:mlexpertio/ml-project-template.git .
24 | cd ml-project-template
25 | ```
26 |
27 | Install Python:
28 |
29 | ```bash
30 | uv python install 3.12.8
31 | ```
32 |
33 | Create and activate a virtual environment:
34 |
35 | ```bash
36 | uv venv
37 | source .venv/bin/activate
38 | ```
39 |
40 | Install dependencies:
41 |
42 | ```bash
43 | uv sync
44 | ```
45 |
46 | Install package in editable mode:
47 |
48 | ```bash
49 | uv pip install -e .
50 | ```
51 |
52 | Install pre-commit hooks:
53 |
54 | ```bash
55 | uv run pre-commit install
56 | ```
57 |
58 | ## Reproduce
59 |
60 | The project contains three different stages defined in `dvc.yaml`.
61 |
62 | - Create a dataset from the raw data:
63 |
64 | ```bash
65 | uv run dvc repro build-dataset
66 | ```
67 |
68 | - Train a model using the dataset:
69 |
70 | ```bash
71 | uv run dvc repro train-model
72 | ```
73 |
74 | - Evaluate the model using the test dataset:
75 |
76 | ```bash
77 | uv run dvc repro evaluate
78 | ```
79 |
80 | ## API server
81 |
82 | Start the FastAPI server:
83 |
84 | ```bash
85 | uv run python app.py
86 | ```
87 |
88 | Test the API:
89 |
90 | ```bash
91 | curl -X POST "http://localhost:8000/predict" \
92 | -H "Content-Type: application/json" \
93 | -d '{"text": "lets launch now"}'
94 | ```
95 |
96 | ## Tests
97 |
98 | ```bash
99 | uv run pytest
100 | ```
101 |
102 | ## Docker
103 |
104 | The template includes a `Dockerfile` to build a Docker image:
105 |
106 | ```bash
107 | docker build -t prophet:latest .
108 | ```
109 |
110 | Run the Docker container:
111 |
112 | ```bash
113 | docker run -d -p 8000:8000 --name prophet prophet:latest
114 | ```
--------------------------------------------------------------------------------
/app.py:
--------------------------------------------------------------------------------
1 | from fastapi import FastAPI, HTTPException
2 | from pydantic import BaseModel
3 |
4 | from prophet.config import Config
5 | from prophet.data import Label
6 | from prophet.text_classifier import TextClassifier
7 |
8 |
9 | class PredictRequest(BaseModel):
10 | text: str
11 |
12 |
13 | class PredictResponse(BaseModel):
14 | prediction: Label
15 | text: str
16 |
17 |
18 | app = FastAPI(
19 | title="Prophet API",
20 | description="Predict the label of a text - just-do-it or stop",
21 | version="0.1.0",
22 | )
23 | model = TextClassifier.load(Config.Path.MODELS_DIR / Config.Model.FILE_NAME)
24 |
25 |
26 | @app.post(
27 | "/predict",
28 | response_model=PredictResponse,
29 | summary="Predict the label of a text",
30 | )
31 | async def predict(request: PredictRequest):
32 | try:
33 | prediction = model.predict(request.text)
34 | return PredictResponse(prediction=Label(prediction), text=request.text)
35 | except Exception as e:
36 | raise HTTPException(status_code=500, detail=str(e))
37 |
38 |
39 | if __name__ == "__main__":
40 | import uvicorn
41 |
42 | uvicorn.run(app, host="0.0.0.0", port=8000)
43 |
--------------------------------------------------------------------------------
/artefacts/.gitignore:
--------------------------------------------------------------------------------
1 | /data
2 | /models
3 | /reports
4 |
--------------------------------------------------------------------------------
/bin/build-dataset:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 |
3 | from prophet.config import Config, configure_logging, seed_everything
4 | from prophet.dataset_builder import build_dataset
5 |
6 | seed_everything()
7 | configure_logging()
8 |
9 |
10 | build_dataset(Config.Path.DATA_DIR)
11 |
--------------------------------------------------------------------------------
/bin/evaluate:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 |
3 | from prophet.config import Config, configure_logging, seed_everything
4 | from prophet.evaluator import evaluate
5 |
6 | seed_everything()
7 | configure_logging()
8 |
9 | evaluate(
10 | Config.Path.DATA_DIR / Config.Dataset.TEST_FILE,
11 | Config.Path.MODELS_DIR / Config.Model.FILE_NAME,
12 | Config.Path.REPORTS_DIR / Config.Evaluation.REPORT_FILE,
13 | )
14 |
--------------------------------------------------------------------------------
/bin/train-model:
--------------------------------------------------------------------------------
1 | #!/usr/bin/env python
2 |
3 | from prophet.config import Config, configure_logging, seed_everything
4 | from prophet.trainer import train
5 |
6 | seed_everything()
7 | configure_logging()
8 |
9 | train(Config.Path.DATA_DIR, Config.Path.MODELS_DIR)
10 |
--------------------------------------------------------------------------------
/dvc.lock:
--------------------------------------------------------------------------------
1 | schema: '2.0'
2 | stages:
3 | build-dataset:
4 | cmd: bin/build-dataset
5 | deps:
6 | - path: bin/build-dataset
7 | hash: md5
8 | md5: d8f7ebc35fa2283d4445421a2f791084
9 | size: 220
10 | isexec: true
11 | outs:
12 | - path: artefacts/data
13 | hash: md5
14 | md5: 9d70b83109c16f38db9824510d493f2c.dir
15 | size: 3111
16 | nfiles: 2
17 | train:
18 | cmd: bin/train
19 | deps:
20 | - path: artefacts/data
21 | hash: md5
22 | md5: 9d70b83109c16f38db9824510d493f2c.dir
23 | size: 3111
24 | nfiles: 2
25 | - path: bin/train
26 | hash: md5
27 | md5: add344380d13b83d6b657faf8690662f
28 | size: 197
29 | isexec: true
30 | outs:
31 | - path: artefacts/models
32 | hash: md5
33 | md5: b18a266572d3f0f253ea66dc771ef401.dir
34 | size: 941
35 | nfiles: 1
36 | eval:
37 | cmd: bin/eval
38 | deps:
39 | - path: artefacts/data
40 | hash: md5
41 | md5: 9d70b83109c16f38db9824510d493f2c.dir
42 | size: 3111
43 | nfiles: 2
44 | - path: artefacts/models
45 | hash: md5
46 | md5: b18a266572d3f0f253ea66dc771ef401.dir
47 | size: 941
48 | nfiles: 1
49 | - path: bin/eval
50 | hash: md5
51 | md5: ac3aa9569db068e425c682e68f6f3d8c
52 | size: 351
53 | isexec: true
54 | outs:
55 | - path: artefacts/reports
56 | hash: md5
57 | md5: 12a458ef38ff5f3fe8dcbd0ca9bbe99e.dir
58 | size: 17
59 | nfiles: 1
60 | train-model:
61 | cmd: bin/train-model
62 | deps:
63 | - path: artefacts/data
64 | hash: md5
65 | md5: 9d70b83109c16f38db9824510d493f2c.dir
66 | size: 3111
67 | nfiles: 2
68 | - path: bin/train-model
69 | hash: md5
70 | md5: 83bd51f7d4faecabed9bbe8e7b171357
71 | size: 219
72 | isexec: true
73 | outs:
74 | - path: artefacts/models
75 | hash: md5
76 | md5: 32e48de475b74a600d36339e135666d8.dir
77 | size: 941
78 | nfiles: 1
79 | evaluate:
80 | cmd: bin/evaluate
81 | deps:
82 | - path: artefacts/data
83 | hash: md5
84 | md5: 9d70b83109c16f38db9824510d493f2c.dir
85 | size: 3111
86 | nfiles: 2
87 | - path: artefacts/models
88 | hash: md5
89 | md5: 32e48de475b74a600d36339e135666d8.dir
90 | size: 941
91 | nfiles: 1
92 | - path: bin/evaluate
93 | hash: md5
94 | md5: ac3aa9569db068e425c682e68f6f3d8c
95 | size: 351
96 | isexec: true
97 | outs:
98 | - path: artefacts/reports
99 | hash: md5
100 | md5: 12a458ef38ff5f3fe8dcbd0ca9bbe99e.dir
101 | size: 17
102 | nfiles: 1
103 |
--------------------------------------------------------------------------------
/dvc.yaml:
--------------------------------------------------------------------------------
1 | stages:
2 | build-dataset:
3 | cmd: bin/build-dataset
4 | deps:
5 | - bin/build-dataset
6 | outs:
7 | - artefacts/data
8 | train-model:
9 | cmd: bin/train-model
10 | deps:
11 | - artefacts/data
12 | - bin/train-model
13 | outs:
14 | - artefacts/models
15 | evaluate:
16 | cmd: bin/evaluate
17 | deps:
18 | - artefacts/data
19 | - artefacts/models
20 | - bin/evaluate
21 | outs:
22 | - artefacts/reports
--------------------------------------------------------------------------------
/prophet/__init__:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/mlexpertio/ml-project-template/cce73e6f02fb977484a5affa827ecf72e209bf84/prophet/__init__
--------------------------------------------------------------------------------
/prophet/config.py:
--------------------------------------------------------------------------------
1 | import os
2 | import random
3 | import sys
4 | from pathlib import Path
5 |
6 | import numpy as np
7 | from loguru import logger
8 |
9 |
10 | class Config:
11 | SEED = 42
12 |
13 | class Path:
14 | APP_HOME = Path(os.getenv("APP_HOME", Path(__file__).parent.parent))
15 | ARTEFACTS_DIR = APP_HOME / "artefacts"
16 | DATA_DIR = ARTEFACTS_DIR / "data"
17 | MODELS_DIR = ARTEFACTS_DIR / "models"
18 | REPORTS_DIR = ARTEFACTS_DIR / "reports"
19 |
20 | class Dataset:
21 | TEST_SIZE = 0.2
22 | TRAIN_FILE = "train.parquet"
23 | TEST_FILE = "test.parquet"
24 |
25 | class Model:
26 | FILE_NAME = "model.json"
27 |
28 | class Evaluation:
29 | REPORT_FILE = "evaluation.json"
30 |
31 |
32 | def seed_everything(seed: int = Config.SEED):
33 | random.seed(seed)
34 | np.random.seed(seed)
35 |
36 |
37 | def configure_logging():
38 | config = {
39 | "handlers": [
40 | {
41 | "sink": sys.stdout,
42 | "colorize": True,
43 | "format": "{time:YYYY-MM-DD - HH:mm:ss} | {level} | {message}",
44 | },
45 | ]
46 | }
47 | logger.configure(**config)
48 |
--------------------------------------------------------------------------------
/prophet/data.py:
--------------------------------------------------------------------------------
1 | from enum import Enum
2 |
3 |
4 | class Label(str, Enum):
5 | JUST_DO_IT = "just-do-it"
6 | STOP = "stop"
7 |
8 |
9 | EXAMPLES = [
10 | {"text": "let's launch the project immediately and make progress", "label": Label.JUST_DO_IT},
11 | {"text": "we need to evaluate risks before proceeding", "label": Label.STOP},
12 | {"text": "take action now and seize the opportunity", "label": Label.JUST_DO_IT},
13 | {"text": "wait for additional data and review", "label": Label.STOP},
14 | {"text": "start building momentum and achieve goals", "label": Label.JUST_DO_IT},
15 | {"text": "careful consideration required at this stage", "label": Label.STOP},
16 | {"text": "move forward with implementation today", "label": Label.JUST_DO_IT},
17 | {"text": "postpone until we have more information", "label": Label.STOP},
18 | {"text": "begin execution of the plan immediately", "label": Label.JUST_DO_IT},
19 | {"text": "hold off and assess potential issues", "label": Label.STOP},
20 | {"text": "deploy the hotfix to production now to fix critical bug", "label": Label.JUST_DO_IT},
21 | {"text": "need more testing coverage before merging pull request", "label": Label.STOP},
22 | {"text": "market conditions are perfect lets launch the product", "label": Label.JUST_DO_IT},
23 | {"text": "review competitor analysis before pricing strategy change", "label": Label.STOP},
24 | {
25 | "text": "start the home renovation this weekend while materials are cheap",
26 | "label": Label.JUST_DO_IT,
27 | },
28 | {"text": "get multiple contractor quotes before bathroom remodel", "label": Label.STOP},
29 | {"text": "begin new workout routine today no excuses", "label": Label.JUST_DO_IT},
30 | {"text": "consult doctor before starting intense training program", "label": Label.STOP},
31 | {
32 | "text": "invest in emerging market opportunity with strong indicators",
33 | "label": Label.JUST_DO_IT,
34 | },
35 | {"text": "need to research market volatility before large investment", "label": Label.STOP},
36 | ]
37 |
--------------------------------------------------------------------------------
/prophet/dataset_builder.py:
--------------------------------------------------------------------------------
1 | from pathlib import Path
2 |
3 | import pandas as pd
4 | from loguru import logger
5 |
6 | from prophet.config import Config
7 | from prophet.data import EXAMPLES
8 |
9 |
10 | def build_dataset(save_dir: Path) -> pd.DataFrame:
11 | logger.debug(f"Building dataset at {save_dir}")
12 | Config.Path.DATA_DIR.mkdir(parents=True, exist_ok=True)
13 | rows = [{"text": r["text"], "label": r["label"].value} for r in EXAMPLES]
14 | df = pd.DataFrame(rows)
15 | df_train = df.sample(frac=1.0 - Config.Dataset.TEST_SIZE)
16 | df_test = df.drop(df_train.index)
17 | df_train.to_parquet(save_dir / Config.Dataset.TRAIN_FILE)
18 | df_test.to_parquet(save_dir / Config.Dataset.TEST_FILE)
19 | return df
20 |
--------------------------------------------------------------------------------
/prophet/evaluator.py:
--------------------------------------------------------------------------------
1 | import json
2 | from pathlib import Path
3 |
4 | import pandas as pd
5 | from loguru import logger
6 |
7 | from prophet.config import Config
8 | from prophet.text_classifier import TextClassifier
9 |
10 |
11 | def evaluate(test_data_file: Path, model_file: Path, report_path: Path) -> float:
12 | df = pd.read_parquet(test_data_file)
13 | logger.debug(f"Evaluating model with {len(df)} samples")
14 | Config.Path.REPORTS_DIR.mkdir(parents=True, exist_ok=True)
15 | classifier = TextClassifier.load(model_file)
16 | correct = 0
17 | for _, item in df.iterrows():
18 | prediction = classifier.predict(item.text)
19 | if prediction == item.label:
20 | correct += 1
21 | accuracy = correct / len(df)
22 | metrics = {"accuracy": accuracy}
23 | logger.debug(f"Model metrics: {metrics}")
24 | report_path.write_text(json.dumps(metrics))
25 |
--------------------------------------------------------------------------------
/prophet/text_classifier.py:
--------------------------------------------------------------------------------
1 | import json
2 | from pathlib import Path
3 | from typing import Set
4 |
5 | import pandas as pd
6 |
7 | from prophet.data import Label
8 |
9 |
10 | class TextClassifier:
11 | def __init__(self, positive_words: Set[str] = set(), negative_words: Set[str] = set()):
12 | self.positive_words = positive_words
13 | self.negative_words = negative_words
14 |
15 | def fit(self, train_data: pd.DataFrame, test_data: pd.DataFrame):
16 | self.positive_words = set()
17 | self.negative_words = set()
18 |
19 | for _, item in train_data.iterrows():
20 | words = item.text.lower().split()
21 | if item.label == Label.JUST_DO_IT:
22 | self.positive_words.update(words)
23 | else:
24 | self.negative_words.update(words)
25 |
26 | # Remove words that appear in both categories as they're not discriminative
27 | common_words = self.positive_words.intersection(self.negative_words)
28 | self.positive_words -= common_words
29 | self.negative_words -= common_words
30 |
31 | def predict(self, text) -> Label:
32 | words = set(text.lower().split())
33 |
34 | positive_matches = len(words.intersection(self.positive_words))
35 | negative_matches = len(words.intersection(self.negative_words))
36 |
37 | return Label.JUST_DO_IT if positive_matches > negative_matches else Label.STOP
38 |
39 | def save(self, filepath: Path):
40 | data = {
41 | "positive_words": list(self.positive_words),
42 | "negative_words": list(self.negative_words),
43 | }
44 | filepath.write_text(json.dumps(data))
45 |
46 | @staticmethod
47 | def load(filepath: Path) -> "TextClassifier":
48 | data = json.loads(filepath.read_text())
49 | return TextClassifier(set(data["positive_words"]), set(data["negative_words"]))
50 |
--------------------------------------------------------------------------------
/prophet/trainer.py:
--------------------------------------------------------------------------------
1 | from pathlib import Path
2 |
3 | import pandas as pd
4 | from loguru import logger
5 |
6 | from prophet.config import Config
7 | from prophet.text_classifier import TextClassifier
8 |
9 |
10 | def train(data_dir: Path, save_dir: Path):
11 | logger.debug("Model training started...")
12 | Config.Path.MODELS_DIR.mkdir(parents=True, exist_ok=True)
13 | model = TextClassifier()
14 | train_df = pd.read_parquet(data_dir / Config.Dataset.TRAIN_FILE)
15 | test_df = pd.read_parquet(data_dir / Config.Dataset.TEST_FILE)
16 | model.fit(train_df, test_df)
17 | model.save(save_dir / Config.Model.FILE_NAME)
18 | logger.debug(f"Model training completed (saved at {save_dir / Config.Model.FILE_NAME})")
19 |
--------------------------------------------------------------------------------
/pyproject.toml:
--------------------------------------------------------------------------------
1 | [project]
2 | name = "prophet"
3 | version = "0.1.0"
4 | description = "Description for your ML project"
5 | readme = "README.md"
6 | requires-python = ">=3.12"
7 | dependencies = [
8 | "dvc>=3.58.0",
9 | "fastapi>=0.115.6",
10 | "pandas>=2.2.3",
11 | "uvicorn>=0.34.0",
12 | ]
13 |
14 | [dependency-groups]
15 | dev = [
16 | "fastparquet>=2024.11.0",
17 | "loguru>=0.7.3",
18 | "pre-commit>=4.0.1",
19 | "pytest>=8.3.4",
20 | "ruff>=0.8.3",
21 | ]
22 |
23 | [tool.ruff]
24 | line-length = 100
25 | target-version = "py312"
26 |
27 | [tool.pytest.ini_options]
28 | pythonpath = [
29 | "."
30 | ]
31 |
32 | [tool.setuptools]
33 | packages = ["prophet"]
34 |
--------------------------------------------------------------------------------
/tests/test_text_classifier.py:
--------------------------------------------------------------------------------
1 | from prophet.data import Label
2 | from prophet.text_classifier import TextClassifier
3 |
4 |
5 | def test_untrained_classifier_should_predict_stop():
6 | classifier = TextClassifier()
7 | assert classifier.predict("What do you think?") == Label.STOP
8 |
--------------------------------------------------------------------------------
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