| import json |
| from pathlib import Path |
|
|
|
|
| def main() -> None: |
| base = Path(__file__).resolve().parent |
| nb = (base / "rag1.ipynb").read_text(encoding="utf-8") |
|
|
| gitignore = """# Secrets |
| .env |
| .env.* |
| |
| # Local vector DB / caches |
| chroma_db/ |
| __pycache__/ |
| .ipynb_checkpoints/ |
| """ |
|
|
| readme = """# AIEngineeringWeek2V1 |
| |
| LangChain RAG notebook: rag1.ipynb (Week 2 assignment). |
| |
| ## Setup |
| |
| - Create a `.env` file locally with your `OPENAI_API_KEY` (do not commit it). |
| - Place `textbook_1.pdf` and `textbook_2.pdf` next to the notebook (not committed here). |
| |
| ## Run |
| |
| Open `rag1.ipynb` and execute cells in order. |
| """ |
|
|
| payload = { |
| "owner": "zainabahmed4626-lab", |
| "repo": "AIEngineeringWeek2V1", |
| "branch": "main", |
| "message": "Initial commit: add RAG notebook", |
| "files": [ |
| {"path": "rag1.ipynb", "content": nb}, |
| {"path": ".gitignore", "content": gitignore}, |
| {"path": "README.md", "content": readme}, |
| ], |
| } |
|
|
| out = base / "_push_payload.json" |
| out.write_text(json.dumps(payload), encoding="utf-8") |
| print(f"wrote {out} ({out.stat().st_size} bytes)") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|