Préparer le repo P7 autonome : CI preprocessing, fetch-data, URLs prod.

Le dataset Sentiment140 reste hors git ; les tests TF/MLflow ne tournent pas encore sur le runner k3s.

.github/workflows/ci.yml

@@ -0,0 +1,30 @@
+# CI — P7 Sentiment API
+# Même fichier lu par Forgejo Actions et GitHub Actions (OC-ADR-001).
+# Image job = node:22-bookworm (label runner mini-pc-k3s). Pas d'image ubuntu native.
+
+name: CI
+
+on:
+  push:
+    branches: [main]
+  workflow_dispatch:
+
+jobs:
+  test-preprocessing:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Python + pytest (preprocessing only)
+        run: |
+          set -eu
+          apt-get update
+          apt-get install -y --no-install-recommends python3 python3-pip python3-venv
+          python3 -m pip install --break-system-packages nltk pytest
+          python3 -m nltk.downloader punkt punkt_tab stopwords wordnet omw-1.4
+          python3 -m pytest deployment/api/tests/test_preprocessing.py -q
+
+  # test_main.py charge TensorFlow + artefacts MLflow (prod). Pas dans ce job :
+  # trop lourd pour le runner (DinD 8 Gio) et exige des secrets MLflow.
+  # Build/push image : Phase 6 (dual registry), après secrets Forgejo.

.gitignore

@@ -1,2 +1,10 @@
 **/mlruns
 **/downloaded_artifacts
+**/.env
+**/.env.*
+**/.pytest_cache
+**/__pycache__
+*.pem
+*aws*
+sentiment-api-*.json
+

README.md

@@ -4,6 +4,14 @@
 
 This repository contains the notebooks and source code for the sentiment analysis project on tweets, conducted as part of the OpenClassrooms **"Air Paradis"** program.
 
+**Source of truth** : [Forgejo](https://git.gregoiremureau.com/grgmro/oc-p07-sentiment-api) (self-hosted). GitHub, when mirrored, is the public shop window.
+
+```bash
+git clone https://git.gregoiremureau.com/grgmro/oc-p07-sentiment-api.git
+# HTTPS (Cloudflare, fine for clone) :
+git clone https://git.gregoiremureau.com/grgmro/oc-p07-sentiment-api.git
+```
+
 ---
 
 ## Business Context
@@ -33,7 +41,8 @@ The project aims to develop a complete sentiment analysis system, including:
 - `deployment/`: FastAPI API code, unit tests, Dockerfile and deployment configuration,
 - `docs/`: detailed documentation (blog.md), diagrams, screenshots,
 - `presentation/`: project presentation slides (PDF),
-- `../.github/workflows/`: CI/CD pipelines (automated tests, Docker build, DockerHub push).
+- `.github/workflows/`: CI (Forgejo Actions on the homelab runner; same YAML on GitHub),
+- `fetch-data.sh`: where to get Sentiment140 (dataset **not** in git).
 
 ---
 
@@ -48,7 +57,7 @@ Training phases were primarily conducted on **Google Colab** to leverage GPU res
 Notebooks detail the analysis and training steps.  
 The API is available in the `deployment/api` folder with Streamlit testing interface.
 
-To test the production API: https://sentiment-api.greg-madman-nas.duckdns.org
+To test the production API: https://api.gregoiremureau.com/ml/sentiment/
 
 ---
 
@@ -56,6 +65,7 @@ To test the production API: https://sentiment-api.greg-madman-nas.duckdns.org
 
 - The `requirements.txt` files in `notebooks/` come from Google Colab environments and may contain dependencies not optimized for local use.
 - The `.env` file, excluded from the repository, contains necessary environment variables (MLFlow, MinIO, alerting configuration).
+- Training data: run `./fetch-data.sh` (Sentiment140 is **not** stored in git).
 
 ---
 

fetch-data.sh

@@ -0,0 +1,17 @@
+#!/usr/bin/env bash
+# Datasets hors git (OC-ADR-003). Ce script n'en télécharge pas : il documente la source.
+set -euo pipefail
+
+cat <<'EOF'
+P7 — Sentiment140 (tweets annotés positif/négatif)
+
+Source amont :
+  http://help.sentiment140.com/for-students
+  archive historique : http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip
+  miroir Kaggle : https://www.kaggle.com/datasets/kazanova/sentiment140
+
+Ne pas versionner le CSV/zip dans ce repo.
+
+Copie locale éventuelle : archive scolaire Nextcloud
+  Master_openclassroom_AI_Engineer/07 Réalisez une analyse de sentiments...
+EOF