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mp-ai-module-controller/scripts/deploy_training_data.sh
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2026-07-22 09:13:54 -05:00
#!/usr/bin/env bash
set -euo pipefail
cd "$(dirname "$0")/.."
export COPYFILE_DISABLE=1
CUSTOM_LOCAL_LLM_ROOT="${CUSTOM_LOCAL_LLM_ROOT:-/Volumes/Zoe/custom-local-llm}"
TRAINING_DATA_DIR="${TRAINING_DATA_DIR:-$CUSTOM_LOCAL_LLM_ROOT/training-data}"
TRAINING_DATA_MANIFEST="${TRAINING_DATA_MANIFEST:-$CUSTOM_LOCAL_LLM_ROOT/manifest.llm.json}"
if [[ ! -d "$CUSTOM_LOCAL_LLM_ROOT" ]]; then
echo "missing custom local LLM root: $CUSTOM_LOCAL_LLM_ROOT" >&2
exit 1
fi
mkdir -p "$TRAINING_DATA_DIR" "$CUSTOM_LOCAL_LLM_ROOT/logs" "$CUSTOM_LOCAL_LLM_ROOT/models" "$CUSTOM_LOCAL_LLM_ROOT/benchmarks"
if [[ ! -s "$TRAINING_DATA_MANIFEST" ]]; then
echo "missing training data manifest: $TRAINING_DATA_MANIFEST" >&2
exit 1
fi
cargo run -- dictionary generate
python3 scripts/generate_training_data.py \
--dictionary-dir dictionary/ \
--output-dir "$TRAINING_DATA_DIR" \
--manifest "$TRAINING_DATA_MANIFEST"
python3 - <<'PY'
import os
from pathlib import Path
root = Path(os.environ.get("CUSTOM_LOCAL_LLM_ROOT", "/Volumes/Zoe/custom-local-llm"))
for path in root.rglob("._*"):
if path.is_file():
path.unlink()
PY