Files
PHANTOM/scripts/nx_research.sh
2026-04-27 17:45:40 +02:00

170 lines
6.2 KiB
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#!/usr/bin/env bash
set -euo pipefail
cmd="${1:-}"
env_file="${SWEEP_ENV_FILE:-.env.sweep}"
default_tpu_conf="tpu_orchestration/configs/v4_spot_us.conf"
load_sweep_env() {
set -a
[ -f "$env_file" ] && . "$env_file" || true
set +a
}
require_var() {
local name="$1"
local msg="$2"
if [ -z "${!name:-}" ]; then
printf '%s\n' "$msg" >&2
exit 1
fi
}
run_tpu_ray_bootstrap() {
local mode_flag="${1:-}"
load_sweep_env
local conf_path="${TPU_CONF:-$default_tpu_conf}"
[ -f "$conf_path" ] || {
printf '%s\n' "TPU config not found: $conf_path" >&2
exit 1
}
if [ -n "$mode_flag" ]; then
bash tpu_orchestration/bootstrap_ray.sh --conf "$conf_path" "$mode_flag"
else
bash tpu_orchestration/bootstrap_ray.sh --conf "$conf_path"
fi
}
case "$cmd" in
install)
[ -x .venv/bin/python ] || python3 -m venv .venv
.venv/bin/python -m ensurepip --upgrade
.venv/bin/python -m pip install -r requirements.txt
;;
train)
load_sweep_env
require_var WANDB_API_KEY "WANDB_API_KEY required - set it in $env_file"
WANDB_ENTITY="${WANDB_ENTITY:-}" \
WANDB_PROJECT="${WANDB_PROJECT:-capstone}" \
WANDB_API_KEY="$WANDB_API_KEY" \
.venv/bin/python -m engine.train ${LOCAL_TRAIN_ARGS:---algo ppo --total-timesteps 50000}
;;
benchmark)
load_sweep_env
if [[ " ${LOCAL_BENCHMARK_ARGS:-} " != *" --no-wandb "* ]]; then
require_var WANDB_API_KEY "WANDB_API_KEY required - set it in $env_file"
fi
WANDB_ENTITY="${WANDB_ENTITY:-}" \
WANDB_PROJECT="${WANDB_PROJECT:-capstone}" \
WANDB_API_KEY="${WANDB_API_KEY:-}" \
.venv/bin/python -m engine.train --run-kind benchmark ${LOCAL_BENCHMARK_ARGS:---tiers static,surge,linear,qtable,ppo --alpha-values 0.0,0.3 --episodes 3 --total-timesteps 3000 --max-steps 40 --device cpu}
;;
benchmark-simple)
load_sweep_env
if [[ " ${SIMPLE_BENCHMARK_ARGS:-} " != *" --no-wandb "* ]]; then
require_var WANDB_API_KEY "WANDB_API_KEY required - set it in $env_file"
fi
WANDB_ENTITY="${WANDB_ENTITY:-}" \
WANDB_PROJECT="${WANDB_PROJECT:-capstone}" \
WANDB_API_KEY="${WANDB_API_KEY:-}" \
PHANTOM_BENCHMARK_COMPARE_ROBUST="${PHANTOM_BENCHMARK_COMPARE_ROBUST:-1}" \
.venv/bin/python -m engine.train --run-kind benchmark ${SIMPLE_BENCHMARK_ARGS:---tiers qtable,ppo,dqn,a2c --alpha-values 0.0,0.15,0.3,0.45,0.6 --episodes 8 --total-timesteps 8000 --max-steps 40 --device cpu}
;;
train-agent)
load_sweep_env
require_var WANDB_API_KEY "WANDB_API_KEY required - set it in $env_file"
require_var SWEEP_ID "SWEEP_ID required, e.g. SWEEP_ID=entity/project/id"
args=(--sweep-agent --sweep-id "$SWEEP_ID")
if [ -n "${AGENT_COUNT:-}" ] && [ "${AGENT_COUNT}" != "0" ]; then
args+=(--count "$AGENT_COUNT")
fi
WANDB_ENTITY="${WANDB_ENTITY:-}" \
WANDB_PROJECT="${WANDB_PROJECT:-capstone}" \
WANDB_API_KEY="$WANDB_API_KEY" \
.venv/bin/python -m engine.train "${args[@]}"
;;
benchmark-agent)
load_sweep_env
require_var WANDB_API_KEY "WANDB_API_KEY required - set it in $env_file"
require_var SWEEP_ID "SWEEP_ID required, e.g. SWEEP_ID=entity/project/id"
args=(--sweep-agent --sweep-id "$SWEEP_ID")
if [ -n "${AGENT_COUNT:-}" ] && [ "${AGENT_COUNT}" != "0" ]; then
args+=(--count "$AGENT_COUNT")
fi
WANDB_ENTITY="${WANDB_ENTITY:-}" \
WANDB_PROJECT="${WANDB_PROJECT:-capstone}" \
WANDB_API_KEY="$WANDB_API_KEY" \
.venv/bin/python -m engine.train --run-kind benchmark "${args[@]}" ${BENCHMARK_AGENT_ARGS:-}
;;
train-bootstrap)
load_sweep_env
require_var WANDB_API_KEY "WANDB_API_KEY required - set it in $env_file"
require_var GITHUB_TOKEN "GITHUB_TOKEN required - set it in $env_file"
require_var REPO_URL "REPO_URL required, e.g. REPO_URL=https://github.com/org/repo.git"
require_var SWEEP_ID "SWEEP_ID required, e.g. SWEEP_ID=entity/project/id"
WANDB_API_KEY="$WANDB_API_KEY" \
WANDB_ENTITY="${WANDB_ENTITY:-}" \
WANDB_PROJECT="${WANDB_PROJECT:-capstone}" \
GITHUB_TOKEN="$GITHUB_TOKEN" \
REPO_URL="$REPO_URL" \
BRANCH="${BRANCH:-main}" \
WORKDIR="${WORKDIR:-$HOME/PHANTOM-agent}" \
SWEEP_ID="$SWEEP_ID" \
AGENT_COUNT="${AGENT_COUNT:-0}" \
AGENT_LOOP="${AGENT_LOOP:-1}" \
RETRY_SECONDS="${RETRY_SECONDS:-20}" \
bash scripts/wandb_agent_bootstrap.sh
;;
stats)
python3 - <<'PY'
from pathlib import Path
skip = {"node_modules", ".venv", "venv", ".venv-ray"}
exts = {".ts", ".py", ".ipynb"}
total = 0
for path in Path(".").rglob("*"):
if not path.is_file() or path.suffix not in exts or any(part in skip for part in path.parts):
continue
text = path.read_text(errors="ignore")
total += text.count("\n") + (1 if text and not text.endswith("\n") else 0)
print(total)
PY
;;
docker-train-publish)
image_ref="${TRAIN_IMAGE_REF:-us-central1-docker.pkg.dev/phantom-trc/phantom/phantom-trainer}"
docker build -f docker/Trainer.dockerfile --target gpu -t "$image_ref:gpu-latest" .
docker push "$image_ref:gpu-latest"
;;
whoclicked-publish)
require_var HF_TOKEN "HF_TOKEN required - export HF_TOKEN=<token>"
.venv/bin/python scripts/whoclicked_etl.py build-upload \
--output "${WHOCLICKED_CSV:-experiments/exports/whoclicked.csv}" \
--repo "${WHOCLICKED_REPO:-velocitatem/whoclickedit}" \
--path-in-repo "${WHOCLICKED_CSV_PATH_IN_REPO:-whoclicked.csv}" \
--message "${WHOCLICKED_DATASET_MESSAGE:-Update flattened whoclickedit dataset}"
.venv/bin/python scripts/whoclicked_card.py build-upload \
--csv "${WHOCLICKED_CSV:-experiments/exports/whoclicked.csv}" \
--card "${WHOCLICKED_CARD:-experiments/exports/whoclicked_dataset_card.md}" \
--repo "${WHOCLICKED_REPO:-velocitatem/whoclickedit}" \
--path-in-repo "${WHOCLICKED_CARD_PATH_IN_REPO:-README.md}" \
--message "${WHOCLICKED_CARD_MESSAGE:-Update dataset card for whoclickedit}"
;;
tpu-ray-bootstrap)
run_tpu_ray_bootstrap
;;
tpu-ray-deps)
run_tpu_ray_bootstrap --deps-only
;;
tpu-ray-verify)
run_tpu_ray_bootstrap --verify-only
;;
tpu-ray-teardown)
run_tpu_ray_bootstrap --teardown
;;
*)
printf '%s\n' "Unknown research command: $cmd" >&2
exit 1
;;
esac