Merge commit 'd803bfe2b1fe7f5e219e50ac20d6801a0a58ac75' as 'vendor/ruvector'
This commit is contained in:
ruv
266
vendor/ruvector/crates/ruvector-cli/scripts/statusline-command.sh
vendored
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266
vendor/ruvector/crates/ruvector-cli/scripts/statusline-command.sh
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#!/bin/bash
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# RuVector Intelligence Statusline
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# Multi-line display showcasing self-learning capabilities
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INPUT=$(cat)
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MODEL=$(echo "$INPUT" | jq -r '.model.display_name // "Claude"')
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CWD=$(echo "$INPUT" | jq -r '.workspace.current_dir // .cwd')
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DIR=$(basename "$CWD")
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# Get git branch
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BRANCH=$(cd "$CWD" 2>/dev/null && git branch --show-current 2>/dev/null)
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# Colors
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RESET="\033[0m"
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BOLD="\033[1m"
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CYAN="\033[36m"
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YELLOW="\033[33m"
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GREEN="\033[32m"
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MAGENTA="\033[35m"
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BLUE="\033[34m"
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RED="\033[31m"
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DIM="\033[2m"
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 1: Model, Directory, Git
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# ═══════════════════════════════════════════════════════════════════════════════
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printf "${BOLD}${MODEL}${RESET} in ${CYAN}${DIR}${RESET}"
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[ -n "$BRANCH" ] && printf " on ${YELLOW}⎇ ${BRANCH}${RESET}"
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echo
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 2: RuVector Intelligence Stats
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# ═══════════════════════════════════════════════════════════════════════════════
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# Check multiple locations for intelligence file
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INTEL_FILE=""
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for INTEL_PATH in "$CWD/.ruvector/intelligence.json" \
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"$CWD/npm/packages/ruvector/.ruvector/intelligence.json" \
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"$HOME/.ruvector/intelligence.json"; do
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if [ -f "$INTEL_PATH" ]; then
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INTEL_FILE="$INTEL_PATH"
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break
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fi
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done
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if [ -n "$INTEL_FILE" ]; then
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# Extract learning metrics
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INTEL=$(cat "$INTEL_FILE" 2>/dev/null)
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# Detect schema version (v2 has .learning.qTables, v1 has .patterns)
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HAS_LEARNING=$(echo "$INTEL" | jq -r 'has("learning")' 2>/dev/null)
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if [ "$HAS_LEARNING" = "true" ]; then
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# v2 Schema: Multi-algorithm learning engine
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PATTERN_COUNT=$(echo "$INTEL" | jq -r '[.learning.qTables // {} | to_entries[].value | to_entries | length] | add // 0' 2>/dev/null)
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ACTIVE_ALGOS=$(echo "$INTEL" | jq -r '[.learning.stats // {} | to_entries[] | select(.value.updates > 0)] | length' 2>/dev/null)
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TOTAL_ALGOS=$(echo "$INTEL" | jq -r '[.learning.stats // {} | keys] | length' 2>/dev/null)
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BEST_ALGO=$(echo "$INTEL" | jq -r '
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.learning.stats // {} | to_entries
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| map(select(.value.updates > 0))
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| sort_by(-.value.convergenceScore)
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| .[0].key // "none"
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' 2>/dev/null)
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BEST_SCORE=$(echo "$INTEL" | jq -r ".learning.stats.\"$BEST_ALGO\".convergenceScore // 0" 2>/dev/null | awk '{printf "%.0f", $1 * 100}')
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TOTAL_UPDATES=$(echo "$INTEL" | jq -r '[.learning.stats // {} | to_entries[].value.updates] | add // 0' 2>/dev/null)
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MEMORY_COUNT=$(echo "$INTEL" | jq -r '.memory.entries | length // 0' 2>/dev/null)
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TRAJ_COUNT=$(echo "$INTEL" | jq -r '.learning.trajectories | length // 0' 2>/dev/null)
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ROUTING_ALGO=$(echo "$INTEL" | jq -r '.learning.configs."agent-routing".algorithm // "double-q"' 2>/dev/null)
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LEARNING_RATE=$(echo "$INTEL" | jq -r '.learning.configs."agent-routing".learningRate // 0.1' 2>/dev/null)
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EPSILON=$(echo "$INTEL" | jq -r '.learning.configs."agent-routing".epsilon // 0.1' 2>/dev/null)
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TOP_AGENTS=$(echo "$INTEL" | jq -r '
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.learning.qTables // {} | to_entries |
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map(.value | to_entries | sort_by(-.value) | .[0] | select(.value > 0)) |
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map(.key) | unique | .[0:3] | join(", ")
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' 2>/dev/null)
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SCHEMA="v2"
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else
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# v1 Schema: Simple patterns/memories
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PATTERN_COUNT=$(echo "$INTEL" | jq -r '.patterns | length // 0' 2>/dev/null)
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MEMORY_COUNT=$(echo "$INTEL" | jq -r '.memories | length // 0' 2>/dev/null)
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TRAJ_COUNT=$(echo "$INTEL" | jq -r '.trajectories | length // 0' 2>/dev/null)
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ACTIVE_ALGOS=0
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TOTAL_ALGOS=0
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BEST_ALGO="none"
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BEST_SCORE=0
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TOTAL_UPDATES=0
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ROUTING_ALGO="q-learning"
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LEARNING_RATE="0.1"
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EPSILON="0.1"
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TOP_AGENTS=""
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SCHEMA="v1"
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fi
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# Common fields (both schemas)
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ERROR_COUNT=$(echo "$INTEL" | jq -r '.errors | length // 0' 2>/dev/null)
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SESSION_COUNT=$(echo "$INTEL" | jq -r '.stats.session_count // 0' 2>/dev/null)
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FILE_SEQ_COUNT=$(echo "$INTEL" | jq -r '.file_sequences | length // 0' 2>/dev/null)
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AGENT_COUNT=$(echo "$INTEL" | jq -r '.agents | keys | length // 0' 2>/dev/null)
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# Build Line 2
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printf "${MAGENTA}🧠 RuVector${RESET}"
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# Patterns learned
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if [ "$PATTERN_COUNT" != "null" ] && [ "$PATTERN_COUNT" -gt 0 ]; then
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printf " ${GREEN}◆${RESET} ${PATTERN_COUNT} patterns"
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else
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printf " ${DIM}◇ learning${RESET}"
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fi
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# Active algorithms
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if [ "$ACTIVE_ALGOS" != "null" ] && [ "$ACTIVE_ALGOS" -gt 0 ]; then
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printf " ${CYAN}⚙${RESET} ${ACTIVE_ALGOS}/${TOTAL_ALGOS} algos"
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fi
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# Best algorithm with convergence
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if [ "$BEST_ALGO" != "none" ] && [ "$BEST_ALGO" != "null" ]; then
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# Shorten algorithm name
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case "$BEST_ALGO" in
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"double-q") SHORT_ALGO="DQ" ;;
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"q-learning") SHORT_ALGO="QL" ;;
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"actor-critic") SHORT_ALGO="AC" ;;
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"decision-transformer") SHORT_ALGO="DT" ;;
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"monte-carlo") SHORT_ALGO="MC" ;;
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"td-lambda") SHORT_ALGO="TD" ;;
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*) SHORT_ALGO="${BEST_ALGO:0:3}" ;;
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esac
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# Color based on convergence
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if [ "$BEST_SCORE" -ge 80 ]; then
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SCORE_COLOR="$GREEN"
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elif [ "$BEST_SCORE" -ge 50 ]; then
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SCORE_COLOR="$YELLOW"
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else
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SCORE_COLOR="$RED"
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fi
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printf " ${SCORE_COLOR}★${SHORT_ALGO}:${BEST_SCORE}%%${RESET}"
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fi
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# Memory entries
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if [ "$MEMORY_COUNT" != "null" ] && [ "$MEMORY_COUNT" -gt 0 ]; then
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printf " ${BLUE}⬡${RESET} ${MEMORY_COUNT} mem"
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fi
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# Trajectories
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if [ "$TRAJ_COUNT" != "null" ] && [ "$TRAJ_COUNT" -gt 0 ]; then
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printf " ${YELLOW}↝${RESET}${TRAJ_COUNT}"
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fi
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# Error fixes available
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if [ "$ERROR_COUNT" != "null" ] && [ "$ERROR_COUNT" -gt 0 ]; then
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printf " ${RED}🔧${RESET}${ERROR_COUNT}"
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fi
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# Sessions
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if [ "$SESSION_COUNT" != "null" ] && [ "$SESSION_COUNT" -gt 0 ]; then
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printf " ${DIM}#${SESSION_COUNT}${RESET}"
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fi
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echo
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 3: Agent Routing & Session Performance
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# ═══════════════════════════════════════════════════════════════════════════════
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# Compression stats (v2 only)
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COMPRESSION=$(echo "$INTEL" | jq -r '.tensorCompress.compressionRatio // 0' 2>/dev/null | awk '{printf "%.0f", $1 * 100}')
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printf "${BLUE}🎯 Routing${RESET}"
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# Show routing algorithm
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case "$ROUTING_ALGO" in
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"double-q") ALGO_ICON="⚡DQ" ;;
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"sarsa") ALGO_ICON="🔄SA" ;;
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"actor-critic") ALGO_ICON="🎭AC" ;;
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*) ALGO_ICON="$ROUTING_ALGO" ;;
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esac
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printf " ${CYAN}${ALGO_ICON}${RESET}"
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# Learning rate
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LR_PCT=$(echo "$LEARNING_RATE" | awk '{printf "%.0f", $1 * 100}')
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printf " lr:${LR_PCT}%%"
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# Exploration rate
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EPS_PCT=$(echo "$EPSILON" | awk '{printf "%.0f", $1 * 100}')
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printf " ε:${EPS_PCT}%%"
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# Top learned agents
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if [ -n "$TOP_AGENTS" ] && [ "$TOP_AGENTS" != "null" ] && [ "$TOP_AGENTS" != "" ]; then
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printf " ${GREEN}→${RESET} ${TOP_AGENTS}"
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fi
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# Session info
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if [ "$TOTAL_UPDATES" != "null" ] && [ "$TOTAL_UPDATES" -gt 0 ]; then
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printf " ${DIM}│${RESET} ${YELLOW}↻${RESET}${TOTAL_UPDATES}"
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fi
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# Compression ratio
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if [ "$COMPRESSION" != "null" ] && [ "$COMPRESSION" -gt 0 ]; then
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printf " ${MAGENTA}◊${RESET}${COMPRESSION}%%"
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fi
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# File sequences learned
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if [ "$FILE_SEQ_COUNT" != "null" ] && [ "$FILE_SEQ_COUNT" -gt 0 ]; then
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printf " ${CYAN}📂${RESET}${FILE_SEQ_COUNT}"
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fi
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# Agents learned
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if [ "$AGENT_COUNT" != "null" ] && [ "$AGENT_COUNT" -gt 0 ]; then
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printf " ${GREEN}🤖${RESET}${AGENT_COUNT}"
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fi
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echo
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else
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# No intelligence file - show initialization hint
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printf "${DIM}🧠 RuVector: run 'npx ruvector hooks session-start' to initialize${RESET}\n"
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fi
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# ═══════════════════════════════════════════════════════════════════════════════
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# LINE 4: Claude Flow Integration (only if meaningful data exists)
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# ═══════════════════════════════════════════════════════════════════════════════
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FLOW_DIR="$CWD/.claude-flow"
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FLOW_OUTPUT=""
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if [ -d "$FLOW_DIR" ]; then
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# Swarm config
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if [ -f "$FLOW_DIR/swarm-config.json" ]; then
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STRATEGY=$(jq -r '.defaultStrategy // empty' "$FLOW_DIR/swarm-config.json" 2>/dev/null)
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AGENT_COUNT=$(jq -r '.agentProfiles | length' "$FLOW_DIR/swarm-config.json" 2>/dev/null)
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if [ -n "$STRATEGY" ]; then
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case "$STRATEGY" in
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"balanced") TOPO="mesh" ;;
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"conservative") TOPO="hier" ;;
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"aggressive") TOPO="ring" ;;
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*) TOPO="$STRATEGY" ;;
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esac
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FLOW_OUTPUT="${FLOW_OUTPUT} ${MAGENTA}${TOPO}${RESET}"
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fi
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if [ -n "$AGENT_COUNT" ] && [ "$AGENT_COUNT" != "null" ] && [ "$AGENT_COUNT" -gt 0 ]; then
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FLOW_OUTPUT="${FLOW_OUTPUT} ${CYAN}🤖${AGENT_COUNT}${RESET}"
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fi
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fi
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# Active tasks
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if [ -d "$FLOW_DIR/tasks" ]; then
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TASK_COUNT=$(find "$FLOW_DIR/tasks" -name "*.json" -type f 2>/dev/null | wc -l)
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if [ "$TASK_COUNT" -gt 0 ]; then
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FLOW_OUTPUT="${FLOW_OUTPUT} ${YELLOW}📋${TASK_COUNT}${RESET}"
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fi
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fi
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# Session state
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if [ -f "$FLOW_DIR/session-state.json" ]; then
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ACTIVE=$(jq -r '.active // false' "$FLOW_DIR/session-state.json" 2>/dev/null)
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if [ "$ACTIVE" = "true" ]; then
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FLOW_OUTPUT="${FLOW_OUTPUT} ${GREEN}●${RESET}"
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fi
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fi
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# Only print if we have content
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if [ -n "$FLOW_OUTPUT" ]; then
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printf "${DIM}⚡ Flow:${RESET}${FLOW_OUTPUT}\n"
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fi
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fi
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