#!/bin/bash
#
# Install Hindsight Agent Skill
#
# Usage:
#   curl -fsSL https://hindsight.vectorize.io/get-skill | bash
#
# Options:
#   --app <app>    Target app: claude, opencode, codex
#
# Examples:
#   curl -fsSL https://hindsight.vectorize.io/get-skill | bash -s -- --app claude
#   curl -fsSL https://hindsight.vectorize.io/get-skill | bash -s -- --app opencode
#

set -e

# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
CYAN='\033[0;36m'
BOLD='\033[1m'
DIM='\033[2m'
NC='\033[0m' # No Color

print_info() {
    echo -e "${BLUE}ℹ${NC} $1"
}

print_success() {
    echo -e "${GREEN}✓${NC} $1"
}

print_error() {
    echo -e "${RED}✗${NC} $1"
    exit 1
}

print_warning() {
    echo -e "${YELLOW}⚠${NC} $1"
}

print_step() {
    echo ""
    echo -e "${BOLD}${CYAN}▸ $1${NC}"
    echo ""
}

print_banner() {
    echo ""
    # ANSI logo
    echo -e "  \033[38;2;9;127;184m▄\033[0m\033[48;2;8;130;178m\033[38;2;5;133;186m▄\033[0m       \033[48;2;10;143;160m\033[38;2;10;143;165m▄\033[0m\033[38;2;7;140;156m▄\033[0m  "
    echo -e " \033[38;2;8;125;192m▄\033[0m \033[38;2;3;132;191m▀\033[0m\033[38;2;2;133;192m▄\033[0m \033[38;2;3;132;180m▄\033[0m\033[38;2;1;137;184m▄\033[0m\033[38;2;3;133;174m▄\033[0m \033[38;2;3;142;176m▄\033[0m\033[38;2;4;142;169m▀\033[0m \033[38;2;10;144;164m▄\033[0m "
    echo -e "\033[38;2;6;121;195m▀\033[0m\033[38;2;5;128;203m▀\033[0m\033[48;2;5;124;195m\033[38;2;3;125;200m▄\033[0m\033[38;2;2;126;196m▄\033[0m\033[48;2;3;128;188m\033[38;2;1;131;196m▄\033[0m\033[48;2;0;152;219m\033[38;2;2;131;191m▄\033[0m\033[38;2;1;141;196m▀\033[0m\033[38;2;1;135;183m▀\033[0m\033[38;2;1;148;198m▀\033[0m\033[48;2;1;156;202m\033[38;2;2;135;180m▄\033[0m\033[48;2;4;134;169m\033[38;2;1;137;177m▄\033[0m\033[38;2;3;138;173m▄\033[0m\033[48;2;6;137;165m\033[38;2;2;140;170m▄\033[0m\033[38;2;7;144;169m▀\033[0m\033[38;2;7;139;158m▀\033[0m"
    echo -e "   \033[48;2;2;128;202m\033[38;2;2;124;201m▄\033[0m\033[48;2;1;130;201m\033[38;2;0;135;212m▄\033[0m\033[38;2;2;128;196m▄\033[0m \033[48;2;2;142;204m\033[38;2;7;138;199m▄\033[0m \033[38;2;1;135;186m▄\033[0m\033[48;2;1;142;186m\033[38;2;2;144;194m▄\033[0m\033[48;2;3;138;176m\033[38;2;2;134;176m▄\033[0m   "
    echo -e " \033[48;2;8;118;200m\033[38;2;8;121;209m▄\033[0m\033[38;2;3;121;203m▀\033[0m \033[38;2;3;122;192m▀\033[0m\033[38;2;1;138;216m▀\033[0m\033[48;2;0;138;210m\033[38;2;3;128;198m▄\033[0m\033[48;2;0;126;188m\033[38;2;2;131;198m▄\033[0m\033[48;2;0;142;205m\033[38;2;3;132;193m▄\033[0m\033[38;2;1;140;196m▀\033[0m  \033[38;2;4;134;175m▀\033[0m\033[48;2;13;135;167m\033[38;2;8;136;174m▄\033[0m "
    echo ""
    echo -e "  ${BOLD}HINDSIGHT SKILL INSTALLER${NC}"
    echo -e "  ${DIM}Give your AI agent persistent memory${NC}"
    echo ""
}

# Embedded SKILL.md content
SKILL_CONTENT='---
name: hindsight
description: Give your agent persistent memory that works like human memory. Store facts, preferences, and context that persist across sessions.
---

# Hindsight Memory Skill

You have access to persistent memory via the `hindsight-embed` CLI. Use it to remember important information about the user and recall it when relevant.

## Setup (first time only)

Run: `uvx hindsight-embed configure`

This will configure your LLM provider and start a local daemon that manages your memory bank.

## Commands

The CLI uses a bank ID to organize memories. Use `default` for general memories or create project-specific banks.

### Store a memory

Use `memory retain` to store important facts, preferences, decisions, or context:

```bash
uvx hindsight-embed memory retain default "User prefers dark mode for all UIs"
uvx hindsight-embed memory retain default "Project uses Python 3.11 with FastAPI" --context work
uvx hindsight-embed memory retain myproject "API uses JWT authentication"
```

### Recall memories

Use `memory recall` to search for relevant memories before starting tasks:

```bash
uvx hindsight-embed memory recall default "What are the user'"'"'s UI preferences?"
uvx hindsight-embed memory recall default "What tech stack does this project use?"
```

### Reflect on memories

Use `memory reflect` for contextual answers that synthesize multiple memories:

```bash
uvx hindsight-embed memory reflect default "How should I set up the dev environment?"
```

### Other commands

```bash
uvx hindsight-embed bank list              # List all memory banks
uvx hindsight-embed daemon status          # Check daemon status
uvx hindsight-embed --help                 # Full CLI help
```

## When to Use

### Store memories when you learn:
- User preferences (coding style, tools, UI preferences)
- Project context (tech stack, architecture decisions)
- Personal information the user shares (name, role, company)
- Important decisions or outcomes

### Recall memories when:
- Starting a new task (get relevant context first)
- Making decisions that should consider user preferences
- Working on a project where past context would help

## Best Practices

1. **Be specific**: Store "User prefers 2-space indentation" not "User has preferences"
2. **Recall first**: Before starting tasks, recall relevant context
3. **Use context tags**: Organize with `--context` (work, personal, preferences)
4. **Use project banks**: Create separate banks for different projects
'

# Get skills directory for app (bash 3.x compatible)
get_skills_dir() {
    case "$1" in
        claude)   echo "$HOME/.claude/skills" ;;
        opencode) echo "$HOME/.opencode/skills" ;;
        codex)    echo "$HOME/.codex/skills" ;;
        *)        echo "" ;;
    esac
}

# Get app display name (bash 3.x compatible)
get_app_name() {
    case "$1" in
        claude)   echo "Claude Code" ;;
        opencode) echo "OpenCode" ;;
        codex)    echo "Codex CLI" ;;
        *)        echo "$1" ;;
    esac
}

# Parse arguments
APP=""

show_usage() {
    echo "Usage: $0 [--app <app>]"
    echo ""
    echo "Options:"
    echo "  --app <app>    Target app: claude, opencode, codex"
    echo ""
    echo "Examples:"
    echo "  $0 --app claude"
    echo "  $0 --app opencode"
    exit 1
}

while [[ $# -gt 0 ]]; do
    case $1 in
        --app)
            APP="$2"
            shift 2
            ;;
        --help|-h)
            show_usage
            ;;
        *)
            print_error "Unknown option: $1"
            ;;
    esac
done

# Show banner
print_banner

# Validate app parameter
if [ -z "$APP" ]; then
    # Check if we have a terminal for interactive prompts
    if [ -t 0 ] || [ -e /dev/tty ]; then
        echo -e "${DIM}Select your AI coding assistant:${NC}"
        echo ""
        echo -e "  ${BOLD}1)${NC} Claude Code"
        echo -e "  ${BOLD}2)${NC} OpenCode"
        echo -e "  ${BOLD}3)${NC} Codex CLI"
        echo ""
        # Use /dev/tty for input if stdin is piped
        if [ -t 0 ]; then
            read -p "Enter choice [1]: " app_choice
        else
            read -p "Enter choice [1]: " app_choice </dev/tty
        fi
        app_choice=${app_choice:-1}

        case $app_choice in
            1) APP="claude" ;;
            2) APP="opencode" ;;
            3) APP="codex" ;;
            *) APP="claude" ;;
        esac
        echo ""
    else
        # Non-interactive (CI) - default to claude
        APP="claude"
        print_info "Non-interactive mode detected, defaulting to Claude Code"
    fi
fi

# Get skills directory for selected app
SKILLS_DIR=$(get_skills_dir "$APP")
APP_NAME=$(get_app_name "$APP")
if [ -z "$SKILLS_DIR" ]; then
    print_error "Unknown app '$APP'. Supported: claude, opencode, codex"
fi

print_info "Installing for ${BOLD}$APP_NAME${NC}"

# Step 1: Check for Python/uvx
print_step "Checking prerequisites"

if ! command -v python3 &> /dev/null && ! command -v uvx &> /dev/null; then
    print_error "Python 3 or uvx is required.\nInstall from https://python.org or https://docs.astral.sh/uv/"
fi
print_success "Python/uvx available"

# Step 2: Configure LLM provider using the CLI
print_step "Configuring LLM provider"

# Install/run hindsight-embed configure
# Redirect stdin from /dev/tty to avoid "not a terminal" warnings
if command -v uvx &> /dev/null; then
    uvx hindsight-embed configure </dev/tty
else
    pip install -q hindsight-embed
    hindsight-embed configure </dev/tty
fi

# Step 3: Install skill to app's skills directory
print_step "Installing skill to $APP_NAME"

mkdir -p "$SKILLS_DIR/hindsight"

# Write embedded SKILL.md content
echo "$SKILL_CONTENT" > "$SKILLS_DIR/hindsight/SKILL.md"
print_success "Installed to $SKILLS_DIR/hindsight/"

# Done!
echo ""
echo -e "${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
echo -e "${GREEN}  ✓ Installation Complete!${NC}"
echo -e "${GREEN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}"
echo ""
echo -e "  The Hindsight skill is now available in ${BOLD}$APP_NAME${NC}."
echo ""
echo -e "  ${DIM}Test the CLI:${NC}"
echo -e "    ${CYAN}uvx hindsight-embed memory retain default \"Test memory\"${NC}"
echo -e "    ${CYAN}uvx hindsight-embed memory recall default \"test\"${NC}"
echo ""
echo -e "  ${DIM}$APP_NAME will automatically use the skill when relevant.${NC}"
echo ""
echo -e "  ${DIM}Documentation:${NC} ${BLUE}https://hindsight.vectorize.io${NC}"
echo ""