docs/PROGRESS.md

Project status

Status: Done. The pipeline, the models, the quality checks and the public website are all working, and the whole thing refreshes itself once a week.

Live at Hugging Face and Streamlit.

The most useful part of this repo is probably ENGINEERING_LOG.md, where I wrote up every bug I hit, what caused it and how I fixed it.

---

What I checked works, end to end

Step	What happened
Test suite	All tests pass, and they need no internet and no API keys
gridpulse probe	Talks to the EIA API and confirms the responses look how I expect
gridpulse ingest	About 3.2 million EIA rows and 800,000 weather rows, for 12 regions
gridpulse build	Roughly 800,000 hourly rows, almost all of them with EIA's forecast attached
gridpulse quality	16 out of 16 checks passing
gridpulse train	The best model beats EIA's own forecast by around 24%
gridpulse anomalies	About 21,000 unusual hours flagged by three detectors
gridpulse export	A 13 MB database for the website, with 9 tables

I have kept the numbers above approximate on purpose. The exact figures change every Monday when the refresh workflow retrains everything, and the live versions are always in artifacts/leaderboard.json and in the results table in the main README, which gets rebuilt automatically after each retrain.

Running it yourself

python -m venv .venv
.\.venv\Scripts\Activate.ps1
pip install -r requirements-dev.txt
pip install -r requirements-torch.txt --index-url https://download.pytorch.org/whl/cpu
pip install -e . --no-deps

copy .env.example .env      # add EIA_API_KEY, and GROQ_API_KEY if you want the AI tab

gridpulse probe
gridpulse all
streamlit run app.py

gridpulse all takes roughly 20 to 40 minutes on a normal laptop, mostly downloading data and training.

How to deploy it is in DEPLOYMENT.md. Questions I expect to be asked in interviews, and my answers, are in INTERVIEW_NOTES.md.