#!/usr/bin/env bash # gstack-learnings-log — append a learning to the project learnings file # Usage: gstack-learnings-log '{"skill":"review","type":"pitfall","key":"n-plus-one","insight":"...","confidence":8,"source":"observed"}' # # Append-only storage. Duplicates (same key+type) are resolved at read time # by gstack-learnings-search ("latest winner" per key+type). set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" eval "$("$SCRIPT_DIR/gstack-slug" 2>/dev/null)" GSTACK_HOME="${GSTACK_HOME:-$HOME/.gstack}" mkdir -p "$GSTACK_HOME/projects/$SLUG" INPUT="$1" # Validate: input must be parseable JSON if ! printf '%s' "$INPUT" | bun -e "JSON.parse(await Bun.stdin.text())" 2>/dev/null; then echo "gstack-learnings-log: invalid JSON, skipping" >&2 exit 1 fi # Inject timestamp if not present if ! printf '%s' "$INPUT" | bun -e "const j=JSON.parse(await Bun.stdin.text()); if(!j.ts) process.exit(1)" 2>/dev/null; then INPUT=$(printf '%s' "$INPUT" | bun -e " const j = JSON.parse(await Bun.stdin.text()); j.ts = new Date().toISOString(); console.log(JSON.stringify(j)); " 2>/dev/null) || true fi echo "$INPUT" >> "$GSTACK_HOME/projects/$SLUG/learnings.jsonl" # OpenClaw bridge: write a parallel copy as OpenClaw-readable memory OPENCLAW_MEM="$HOME/.openclaw/workspace/memory" if [ -d "$HOME/.openclaw" ]; then mkdir -p "$OPENCLAW_MEM" MEM_FILE="$OPENCLAW_MEM/gstack-${SLUG}.md" # Extract fields for the memory entry ENTRY=$(printf '%s' "$INPUT" | bun -e " const j = JSON.parse(await Bun.stdin.text()); const ts = j.ts || new Date().toISOString(); const date = ts.split('T')[0]; console.log('- **[' + (j.key||'unknown') + ']** (' + (j.type||'unknown') + ', ' + date + ', confidence: ' + (j.confidence||'?') + '/10): ' + (j.insight||'')); " 2>/dev/null) || true if [ -n "$ENTRY" ]; then # Create file with header if it doesn't exist if [ ! -f "$MEM_FILE" ]; then printf '# gstack learnings for %s\n\nAuto-synced from gstack coding sessions.\n\n' "$SLUG" > "$MEM_FILE" fi echo "$ENTRY" >> "$MEM_FILE" fi fi