#!/usr/bin/env bash
# Rerun the agent: Claude Code in headless mode, with the bino MCP server as its only tools.
#
#   ./run.sh             turn 1: send prompt.md, the agent builds the report
#   ./run.sh review 1    turn 2: resume the same session and send review-1.md
#   ./run.sh review 2    turn 3: resume again and send review-2.md
#
# Each turn writes its raw transcript to transcript/run-<turn>.jsonl and a Markdown
# rendering of it to transcript/run-<turn>.md. The review files are a human review of
# the PDF the recorded run produced; on your own rerun, read your PDF and edit them first.
set -euo pipefail
cd "$(dirname "$0")"

MODEL="${MODEL:-claude-opus-5-5}"
FLAGS=(
  --model "$MODEL"
  --mcp-config mcp.json --strict-mcp-config
  --tools "ListMcpResourcesTool,ReadMcpResourceTool"
  --allowedTools "mcp__bino,ListMcpResourcesTool,ReadMcpResourceTool"
  --setting-sources project
  --output-format stream-json --verbose
)
mkdir -p transcript

if [[ "${1:-}" == "review" ]]; then
  n="${2:?usage: ./run.sh review <n>}"
  turn=$((n + 1))
  claude -p "$(cat "review-$n.md")" --resume "$(cat transcript/session-id.txt)" "${FLAGS[@]}" \
    < /dev/null | tee "transcript/run-$turn.jsonl"
  python3 scripts/transcript_to_md.py "transcript/run-$turn.jsonl" > "transcript/run-$turn.md"
  if [[ "$n" == "1" ]]; then
    cp dist/sales_2025_report.pdf report-second-pass.pdf
  else
    cp dist/sales_2025_report.pdf report.pdf
  fi
else
  claude -p "$(cat prompt.md)" "${FLAGS[@]}" < /dev/null | tee transcript/run-1.jsonl
  python3 scripts/transcript_to_md.py transcript/run-1.jsonl > transcript/run-1.md
  python3 -c "import json,sys; print(json.loads(open(sys.argv[1]).readline())['session_id'])" \
    transcript/run-1.jsonl > transcript/session-id.txt
  cp dist/sales_2025_report.pdf report-first-pass.pdf
fi