idstack-learnings-search

#!/usr/bin/env bash
# Search learnings from .idstack/learnings.jsonl (and optionally global store).
# Usage: idstack-learnings-search --limit 3
#        idstack-learnings-search --limit 5 --type operational
#        idstack-learnings-search --keyword canvas
#        idstack-learnings-search --cross-project --keyword rubric
# Outputs matching JSONL lines to stdout. Exit 0 always.

LIMIT=3
TYPE=""
KEYWORD=""
CROSS_PROJECT=0

while [ $# -gt 0 ]; do
  case "$1" in
    --limit) LIMIT="$2"; shift 2 ;;
    --limit=*) LIMIT="${1#--limit=}"; shift ;;
    --type) TYPE="$2"; shift 2 ;;
    --type=*) TYPE="${1#--type=}"; shift ;;
    --keyword) KEYWORD="$2"; shift 2 ;;
    --keyword=*) KEYWORD="${1#--keyword=}"; shift ;;
    --cross-project) CROSS_PROJECT=1; shift ;;
    *) shift ;;
  esac
done

LOCAL_LEARNINGS=".idstack/learnings.jsonl"
GLOBAL_LEARNINGS="$HOME/.idstack/global/learnings.jsonl"

# Collect source files
SOURCES=""
[ -f "$LOCAL_LEARNINGS" ] && SOURCES="$LOCAL_LEARNINGS"
if [ "$CROSS_PROJECT" -eq 1 ] && [ -f "$GLOBAL_LEARNINGS" ]; then
  SOURCES="$SOURCES $GLOBAL_LEARNINGS"
fi

[ -z "$SOURCES" ] && exit 0

fallback_search() {
  if [ -n "$KEYWORD" ]; then
    cat $SOURCES 2>/dev/null | grep -i "$KEYWORD" | tail -"$LIMIT"
  elif [ -n "$TYPE" ]; then
    cat $SOURCES 2>/dev/null | grep "\"type\":\"$TYPE\"" | tail -"$LIMIT"
  else
    cat $SOURCES 2>/dev/null | tail -"$LIMIT"
  fi
}

if command -v python3 &>/dev/null; then
  python3 -c "
import json, sys

sources = '$SOURCES'.split()
type_filter = '$TYPE'
keyword = '$KEYWORD'.lower()
limit = $LIMIT

matches = []
for src in sources:
    is_global = 'global' in src
    try:
        for line in open(src):
            try:
                d = json.loads(line)
                if type_filter and d.get('type') != type_filter:
                    continue
                if keyword:
                    insight = (d.get('insight', '') + ' ' + d.get('key', '')).lower()
                    if keyword not in insight:
                        continue
                if is_global:
                    d['_source'] = 'global'
                matches.append(json.dumps(d))
            except Exception:
                pass
    except Exception:
        pass

# Local learnings first (take precedence), then global
for m in matches[-limit:]:
    print(m)
" 2>/dev/null || {
  # Fallback: basic grep
  fallback_search
}
else
  fallback_search
fi