minor auto

.github/workflows/ci.yaml

@@ -0,0 +1,53 @@
+name: CI/CD Pipeline
+
+on:
+  push:
+    branches: 
+      - main
+  pull_request:
+    branches:
+      - main
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v3
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.11'
+
+    - name: Install dependencies
+      run: pip install --no-cache-dir -r requirements.txt
+
+    - name: Run tests
+      run: pytest
+
+  docker:
+    runs-on: ubuntu-latest
+    needs: build
+
+    steps:
+    - uses: actions/checkout@v3
+
+    - name: Log in to Docker Hub
+      run: echo "${{ secrets.DOCKER_PASSWORD }}" | docker login -u "${{ secrets.DOCKER_USERNAME }}" --password-stdin
+
+    - name: Build Docker image
+      run: docker build -t ${{ secrets.DOCKER_USERNAME }}/app:${{ github.sha }} .
+
+    - name: Push Docker image
+      run: docker push ${{ secrets.DOCKER_USERNAME }}/app:${{ github.sha }}
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: docker
+
+    steps:
+    - name: Deploy to Production
+      run: |
+        docker pull ${{ secrets.DOCKER_USERNAME }}/app:${{ github.sha }}
+        docker run -d -p 80:80 ${{ secrets.DOCKER_USERNAME }}/app:${{ github.sha }}

.gitignore

@@ -3,4 +3,5 @@ poetry.lock
 *.env
 **/.env
 .DS_Store
-**/wandb/
+**/wandb/
+dist/

data/raw/hf/.gitattributes

@@ -1,58 +0,0 @@
-*.7z filter=lfs diff=lfs merge=lfs -text
-*.arrow filter=lfs diff=lfs merge=lfs -text
-*.bin filter=lfs diff=lfs merge=lfs -text
-*.bz2 filter=lfs diff=lfs merge=lfs -text
-*.ckpt filter=lfs diff=lfs merge=lfs -text
-*.ftz filter=lfs diff=lfs merge=lfs -text
-*.gz filter=lfs diff=lfs merge=lfs -text
-*.h5 filter=lfs diff=lfs merge=lfs -text
-*.joblib filter=lfs diff=lfs merge=lfs -text
-*.lfs.* filter=lfs diff=lfs merge=lfs -text
-*.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mlmodel filter=lfs diff=lfs merge=lfs -text
-*.model filter=lfs diff=lfs merge=lfs -text
-*.msgpack filter=lfs diff=lfs merge=lfs -text
-*.npy filter=lfs diff=lfs merge=lfs -text
-*.npz filter=lfs diff=lfs merge=lfs -text
-*.onnx filter=lfs diff=lfs merge=lfs -text
-*.ot filter=lfs diff=lfs merge=lfs -text
-*.parquet filter=lfs diff=lfs merge=lfs -text
-*.pb filter=lfs diff=lfs merge=lfs -text
-*.pickle filter=lfs diff=lfs merge=lfs -text
-*.pkl filter=lfs diff=lfs merge=lfs -text
-*.pt filter=lfs diff=lfs merge=lfs -text
-*.pth filter=lfs diff=lfs merge=lfs -text
-*.rar filter=lfs diff=lfs merge=lfs -text
-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
-*.tar.* filter=lfs diff=lfs merge=lfs -text
-*.tar filter=lfs diff=lfs merge=lfs -text
-*.tflite filter=lfs diff=lfs merge=lfs -text
-*.tgz filter=lfs diff=lfs merge=lfs -text
-*.wasm filter=lfs diff=lfs merge=lfs -text
-*.xz filter=lfs diff=lfs merge=lfs -text
-*.zip filter=lfs diff=lfs merge=lfs -text
-*.zst filter=lfs diff=lfs merge=lfs -text
-*tfevents* filter=lfs diff=lfs merge=lfs -text
-# Audio files - uncompressed
-*.pcm filter=lfs diff=lfs merge=lfs -text
-*.sam filter=lfs diff=lfs merge=lfs -text
-*.raw filter=lfs diff=lfs merge=lfs -text
-# Audio files - compressed
-*.aac filter=lfs diff=lfs merge=lfs -text
-*.flac filter=lfs diff=lfs merge=lfs -text
-*.mp3 filter=lfs diff=lfs merge=lfs -text
-*.ogg filter=lfs diff=lfs merge=lfs -text
-*.wav filter=lfs diff=lfs merge=lfs -text
-# Image files - uncompressed
-*.bmp filter=lfs diff=lfs merge=lfs -text
-*.gif filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
-*.tiff filter=lfs diff=lfs merge=lfs -text
-# Image files - compressed
-*.jpg filter=lfs diff=lfs merge=lfs -text
-*.jpeg filter=lfs diff=lfs merge=lfs -text
-*.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text

data/raw/hf/README.md

@@ -1,55 +0,0 @@
----
-annotations_creators:
-- machine-generated
-language:
-- en
-language_creators:
-- machine-generated
-license:
-- mit
-multilinguality:
-- monolingual
-pretty_name: Medical data with DiD's randomly generated
-size_categories:
-- n<1K
-source_datasets:
-- original
-tags: []
-task_categories:
-- tabular-classification
-- text-classification
-task_ids:
-- tabular-multi-class-classification
-- multi-class-classification
----
-
-# Dataset Card for [Dataset Name]
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Instances](#data-instances)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Dataset Creation](#dataset-creation)
-  - [Curation Rationale](#curation-rationale)
-  - [Source Data](#source-data)
-  - [Annotations](#annotations)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-  - [Contributions](#contributions)
-
-## Dataset Description
-Medical data with DiD's for differential privacy.
-

pyproject.toml

@@ -10,8 +10,8 @@ readme = "README.md"
 python = "^3.10"
 pydantic = "^2.8.2"
 wandb = "^0.17.7"
-python-dotenv = "^1.0.1"
-ipykernel = "^6.29.5"
+python-dotenv = "1.0.0"
+ipykernel = "6.29.5"
 datasets = "^2.21.0"
 didkit = "^0.3.3"
 scikit-learn = "^1.5.1"

verida-differential-privacy/.dockerignore

@@ -0,0 +1,32 @@
+# Python files
+__pycache__/
+*.py[cod]
+*.pyo
+*.pyd
+**/*.env
+
+# Poetry files
+poetry.lock
+
+# Distribution / packaging
+*.egg-info/
+build/
+dist/
+
+# Virtual environments
+venv/
+.env
+
+# Docker files
+Dockerfile
+.dockerignore
+
+# Editor and OS specific files
+.vscode/
+.idea/
+*.swp
+.DS_Store
+Thumbs.db
+
+# Logs
+*.log

verida-differential-privacy/Dockerfile

@@ -0,0 +1,18 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+RUN apt-get update && apt-get install -y curl && \
+    curl -sSL https://install.python-poetry.org | python3 - && \
+    apt-get remove -y curl && apt-get autoremove -y && \
+    ln -s ~/.local/bin/poetry /usr/local/bin/poetry
+
+COPY pyproject.toml poetry.lock ./
+
+RUN poetry install --no-root --no-dev
+
+COPY . .
+
+RUN poetry build
+
+CMD ["python", "main.py"]

{data → verida-differential-privacy/data}/processed/eda_code_final_fixed.py

@@ -5,11 +5,11 @@ import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
 import seaborn as sns
+import wandb
 from dotenv import load_dotenv
 from sklearn.feature_selection import SelectKBest, f_classif
 from sklearn.preprocessing import LabelEncoder, StandardScaler
 
-import wandb
 from constants import project, version
 
 load_dotenv()

verida-differential-privacy/data/raw/hf

@@ -0,0 +1 @@
+Subproject commit 1ccd24f169b40d6f217ccb8e92fd1d684ba2c5f8

{data/processed → verida-differential-privacy/src}/clustering_ml.py

@@ -2,6 +2,7 @@ import os
 
 import pandas as pd
 import torch
+import wandb
 from dotenv import load_dotenv
 from sklearn.cluster import AgglomerativeClustering, KMeans
 from sklearn.metrics import silhouette_score
@@ -9,8 +10,6 @@ from sklearn.model_selection import train_test_split
 from sklearn.pipeline import Pipeline
 from sklearn.preprocessing import StandardScaler
 
-import wandb
-
 load_dotenv()
 
 

{data/processed → verida-differential-privacy/src}/supervized_ml.py

@@ -5,6 +5,7 @@ from typing import Any, Dict, Tuple
 
 import pandas as pd
 import torch
+import wandb
 from dotenv import load_dotenv
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.feature_selection import SelectKBest, f_classif
@@ -15,8 +16,6 @@ from sklearn.model_selection import train_test_split
 from sklearn.preprocessing import StandardScaler
 from sklearn.svm import SVC
 
-import wandb
-
 # Load environment variables
 load_dotenv()