#!/usr/bin/env bash
set -euo pipefail

PROJECT_DIR="${PROJECT_DIR:-/workspace/KAWK50M}"
RECOVERY_CONFIG="${RECOVERY_CONFIG:-configs/pretrain_fixed_recovery_100m_5090.yaml}"
SCRATCH_CONFIG="${SCRATCH_CONFIG:-configs/pretrain_fixed_scratch_100m_5090.yaml}"
BROKEN_CHECKPOINT="${BROKEN_CHECKPOINT:-runs/kawk-1.5-50m-v2-cpt-3b-5090/checkpoint-00024415}"
RECOVERY_RUN="${RECOVERY_RUN:-runs/kawk50m-fixed-recovery-100m-5090}"
SCRATCH_RUN="${SCRATCH_RUN:-runs/kawk50m-fixed-scratch-100m-5090}"
REPORT_DIR="${REPORT_DIR:-reports/fixed-objective-100m-ab}"
VALIDATION_BIN="${VALIDATION_BIN:-data/tokenized-v2b-100m/validation.bin}"
CLEAN_DIR="${CLEAN_DIR:-data/clean-v2-full}"

cd "${PROJECT_DIR}"
source "${PROJECT_DIR}/.venv/bin/activate"

for path in "${RECOVERY_RUN}" "${SCRATCH_RUN}" "${REPORT_DIR}"; do
  if [[ -e "${path}" ]]; then
    echo "Refusing to overwrite existing A/B artifact: ${path}" >&2
    exit 1
  fi
done
if [[ ! -f "${BROKEN_CHECKPOINT}/model/model.safetensors" ]]; then
  echo "Recovery source checkpoint is missing: ${BROKEN_CHECKPOINT}" >&2
  exit 1
fi

python -m scripts.preflight --config "${RECOVERY_CONFIG}"
python -m scripts.preflight --config "${SCRATCH_CONFIG}"
mkdir -p "${REPORT_DIR}"

python -u -m scripts.pretrain \
  --config "${RECOVERY_CONFIG}" \
  --init-from "${BROKEN_CHECKPOINT}" \
  2>&1 | tee "${REPORT_DIR}/recovery-train.log"

python -u -m scripts.pretrain \
  --config "${SCRATCH_CONFIG}" \
  2>&1 | tee "${REPORT_DIR}/scratch-train.log"

recovery_name="$(cat "${RECOVERY_RUN}/latest_checkpoint.txt")"
scratch_name="$(cat "${SCRATCH_RUN}/latest_checkpoint.txt")"
recovery_checkpoint="${RECOVERY_RUN}/${recovery_name}"
scratch_checkpoint="${SCRATCH_RUN}/${scratch_name}"

common_evaluation=(
  --validation-bin "${VALIDATION_BIN}"
  --sequence-length 1024
  --batch-size 32
  --eval-batches 20
  --max-new-tokens 100
  --temperature 0.7
  --top-k 50
  --top-p 0.9
  --repetition-penalty 1.15
  --seed 42
)

python -m scripts.evaluate \
  --checkpoint "${BROKEN_CHECKPOINT}" \
  "${common_evaluation[@]}" \
  > "${REPORT_DIR}/broken-final-evaluation.json"

python -m scripts.evaluate \
  --checkpoint "${recovery_checkpoint}" \
  "${common_evaluation[@]}" \
  > "${REPORT_DIR}/recovery-evaluation.json"

python -m scripts.evaluate \
  --checkpoint "${scratch_checkpoint}" \
  "${common_evaluation[@]}" \
  > "${REPORT_DIR}/scratch-evaluation.json"

python -m scripts.evaluate_text \
  --checkpoint "${recovery_checkpoint}" \
  --input "${CLEAN_DIR}/validation-*.jsonl" \
  --context-length 1024 \
  --max-documents 200 \
  > "${REPORT_DIR}/recovery-byte-evaluation.json"

python -m scripts.evaluate_text \
  --checkpoint "${scratch_checkpoint}" \
  --input "${CLEAN_DIR}/validation-*.jsonl" \
  --context-length 1024 \
  --max-documents 200 \
  > "${REPORT_DIR}/scratch-byte-evaluation.json"

printf '%s\n' "${recovery_checkpoint}" > "${REPORT_DIR}/recovery-checkpoint.txt"
printf '%s\n' "${scratch_checkpoint}" > "${REPORT_DIR}/scratch-checkpoint.txt"
echo "Correct-objective 100M recovery/scratch A/B training and evaluation complete."