mirror of
https://github.com/SuperClaude-Org/SuperClaude_Framework.git
synced 2025-12-18 18:26:46 +00:00
* fix(orchestration): add WebFetch auto-trigger for infrastructure configuration Problem: Infrastructure configuration changes (e.g., Traefik port settings) were being made based on assumptions without consulting official documentation, violating the 'Evidence > assumptions' principle in PRINCIPLES.md. Solution: - Added Infrastructure Configuration Validation section to MODE_Orchestration.md - Auto-triggers WebFetch for infrastructure tools (Traefik, nginx, Docker, etc.) - Enforces MODE_DeepResearch activation for investigation - BLOCKS assumption-based configuration changes Testing: Verified WebFetch successfully retrieves Traefik official docs (port 80 default) This prevents production outages from infrastructure misconfiguration by ensuring all technical recommendations are backed by official documentation. * feat: Add PM Agent (Project Manager Agent) for seamless orchestration Introduces PM Agent as the default orchestration layer that coordinates all sub-agents and manages workflows automatically. Key Features: - Default orchestration: All user interactions handled by PM Agent - Auto-delegation: Intelligent sub-agent selection based on task analysis - Docker Gateway integration: Zero-token baseline with dynamic MCP loading - Self-improvement loop: Automatic documentation of patterns and mistakes - Optional override: Users can specify sub-agents explicitly if desired Architecture: - Agent spec: SuperClaude/Agents/pm-agent.md - Command: SuperClaude/Commands/pm.md - Updated docs: README.md (15→16 agents), agents.md (new Orchestration category) User Experience: - Default: PM Agent handles everything (seamless, no manual routing) - Optional: Explicit --agent flag for direct sub-agent access - Both modes available simultaneously (no user downside) Implementation Status: - ✅ Specification complete - ✅ Documentation complete - ⏳ Prototype implementation needed - ⏳ Docker Gateway integration needed - ⏳ Testing and validation needed Refs: kazukinakai/docker-mcp-gateway (IRIS MCP Gateway integration) * feat: Add Agent Orchestration rules for PM Agent default activation Implements PM Agent as the default orchestration layer in RULES.md. Key Changes: - New 'Agent Orchestration' section (CRITICAL priority) - PM Agent receives ALL user requests by default - Manual override with @agent-[name] bypasses PM Agent - Agent Selection Priority clearly defined: 1. Manual override → Direct routing 2. Default → PM Agent → Auto-delegation 3. Delegation based on keywords, file types, complexity, context User Experience: - Default: PM Agent handles everything (seamless) - Override: @agent-[name] for direct specialist access - Transparent: PM Agent reports delegation decisions This establishes PM Agent as the orchestration layer while respecting existing auto-activation patterns and manual overrides. Next Steps: - Local testing in agiletec project - Iteration based on actual behavior - Documentation updates as needed * refactor(pm-agent): redesign as self-improvement meta-layer Problem Resolution: PM Agent's initial design competed with existing auto-activation for task routing, creating confusion about orchestration responsibilities and adding unnecessary complexity. Design Change: Redefined PM Agent as a meta-layer agent that operates AFTER specialist agents complete tasks, focusing on: - Post-implementation documentation and pattern recording - Immediate mistake analysis with prevention checklists - Monthly documentation maintenance and noise reduction - Pattern extraction and knowledge synthesis Two-Layer Orchestration System: 1. Task Execution Layer: Existing auto-activation handles task routing (unchanged) 2. Self-Improvement Layer: PM Agent meta-layer handles documentation (new) Files Modified: - SuperClaude/Agents/pm-agent.md: Complete rewrite with meta-layer design - Category: orchestration → meta - Triggers: All user interactions → Post-implementation, mistakes, monthly - Behavioral Mindset: Continuous learning system - Self-Improvement Workflow: BEFORE/DURING/AFTER/MISTAKE RECOVERY/MAINTENANCE - SuperClaude/Core/RULES.md: Agent Orchestration section updated - Split into Task Execution Layer + Self-Improvement Layer - Added orchestration flow diagram - Clarified PM Agent activates AFTER task completion - README.md: Updated PM Agent description - "orchestrates all interactions" → "ensures continuous learning" - Docs/User-Guide/agents.md: PM Agent section rewritten - Section: Orchestration Agent → Meta-Layer Agent - Expertise: Project orchestration → Self-improvement workflow executor - Examples: Task coordination → Post-implementation documentation - PR_DOCUMENTATION.md: Comprehensive PR documentation added - Summary, motivation, changes, testing, breaking changes - Two-layer orchestration system diagram - Verification checklist Integration Validated: Tested with agiletec project's self-improvement-workflow.md: ✅ PM Agent aligns with existing BEFORE/DURING/AFTER/MISTAKE RECOVERY phases ✅ Complements (not competes with) existing workflow ✅ agiletec workflow defines WHAT, PM Agent defines WHO executes it Breaking Changes: None - Existing auto-activation continues unchanged - Specialist agents unaffected - User workflows remain the same - New capability: Automatic documentation and knowledge maintenance Value Proposition: Transforms SuperClaude into a continuously learning system that accumulates knowledge, prevents recurring mistakes, and maintains fresh documentation without manual intervention. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * docs: add Claude Code conversation history management research Research covering .jsonl file structure, performance impact, and retention policies. Content: - Claude Code .jsonl file format and message types - Performance issues from GitHub (memory leaks, conversation compaction) - Retention policies (consumer vs enterprise) - Rotation recommendations based on actual data - File history snapshot tracking mechanics Source: Moved from agiletec project (research applicable to all Claude Code projects) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: add Development documentation structure Phase 1: Documentation Structure complete - Add Docs/Development/ directory for development documentation - Add ARCHITECTURE.md - System architecture with PM Agent meta-layer - Add ROADMAP.md - 5-phase development plan with checkboxes - Add TASKS.md - Daily task tracking with progress indicators - Add PROJECT_STATUS.md - Current status dashboard and metrics - Add pm-agent-integration.md - Implementation guide for PM Agent mode This establishes comprehensive documentation foundation for: - System architecture understanding - Development planning and tracking - Implementation guidance - Progress visibility Related: #pm-agent-mode #documentation #phase-1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat: PM Agent session lifecycle and PDCA implementation Phase 2: PM Agent Mode Integration (Design Phase) Commands/pm.md updates: - Add "Always-Active Foundation Layer" concept - Add Session Lifecycle (Session Start/During Work/Session End) - Add PDCA Cycle (Plan/Do/Check/Act) automation - Add Serena MCP Memory Integration (list/read/write_memory) - Document auto-activation triggers Agents/pm-agent.md updates: - Add Session Start Protocol (MANDATORY auto-activation) - Add During Work PDCA Cycle with example workflows - Add Session End Protocol with state preservation - Add PDCA Self-Evaluation Pattern - Add Documentation Strategy (temp → patterns/mistakes) - Add Memory Operations Reference Key Features: - Session start auto-activation for context restoration - 30-minute checkpoint saves during work - Self-evaluation with think_about_* operations - Systematic documentation lifecycle - Knowledge evolution to CLAUDE.md Implementation Status: - ✅ Design complete (Commands/pm.md, Agents/pm-agent.md) - ⏳ Implementation pending (Core components) - ⏳ Serena MCP integration pending Salvaged from mistaken development in ~/.claude directory Related: #pm-agent-mode #session-lifecycle #pdca-cycle #phase-2 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: disable Serena MCP auto-browser launch Disable web dashboard and GUI log window auto-launch in Serena MCP server to prevent intrusive browser popups on startup. Users can still manually access the dashboard at http://localhost:24282/dashboard/ if needed. Changes: - Add CLI flags to Serena run command: - --enable-web-dashboard false - --enable-gui-log-window false - Ensures Git-tracked configuration (no reliance on ~/.serena/serena_config.yml) - Aligns with AIRIS MCP Gateway integration approach 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: rename directories to lowercase for PEP8 compliance - Rename superclaude/Agents -> superclaude/agents - Rename superclaude/Commands -> superclaude/commands - Rename superclaude/Core -> superclaude/core - Rename superclaude/Examples -> superclaude/examples - Rename superclaude/MCP -> superclaude/mcp - Rename superclaude/Modes -> superclaude/modes This change follows Python PEP8 naming conventions for package directories. * style: fix PEP8 violations and update package name to lowercase Changes: - Format all Python files with black (43 files reformatted) - Update package name from 'SuperClaude' to 'superclaude' in pyproject.toml - Fix import statements to use lowercase package name - Add missing imports (timedelta, __version__) - Remove old SuperClaude.egg-info directory PEP8 violations reduced from 2672 to 701 (mostly E501 line length due to black's 88 char vs flake8's 79 char limit). * docs: add PM Agent development documentation Add comprehensive PM Agent development documentation: - PM Agent ideal workflow (7-phase autonomous cycle) - Project structure understanding (Git vs installed environment) - Installation flow understanding (CommandsComponent behavior) - Task management system (current-tasks.md) Purpose: Eliminate repeated explanations and enable autonomous PDCA cycles 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(pm-agent): add self-correcting execution and warning investigation culture ## Changes ### superclaude/commands/pm.md - Add "Self-Correcting Execution" section with root cause analysis protocol - Add "Warning/Error Investigation Culture" section enforcing zero-tolerance for dismissal - Define error detection protocol: STOP → Investigate → Hypothesis → Different Solution → Execute - Document anti-patterns (retry without understanding) and correct patterns (research-first) ### docs/Development/hypothesis-pm-autonomous-enhancement-2025-10-14.md - Add PDCA workflow hypothesis document for PM Agent autonomous enhancement ## Rationale PM Agent must never retry failed operations without understanding root causes. All warnings and errors require investigation via context7/WebFetch/documentation to ensure production-quality code and prevent technical debt accumulation. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(installer): add airis-mcp-gateway MCP server option ## Changes - Add airis-mcp-gateway to MCP server options in installer - Configuration: GitHub-based installation via uvx - Repository: https://github.com/oraios/airis-mcp-gateway - Purpose: Dynamic MCP Gateway for zero-token baseline and on-demand tool loading ## Implementation Added to setup/components/mcp.py self.mcp_servers dictionary with: - install_method: github - install_command: uvx test installation - run_command: uvx runtime execution - required: False (optional server) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: kazuki <kazuki@kazukinoMacBook-Air.local> Co-authored-by: Claude <noreply@anthropic.com>
330 lines
9.6 KiB
Python
330 lines
9.6 KiB
Python
"""
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Auto-update checker for SuperClaude Framework
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Checks PyPI for newer versions and offers automatic updates
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"""
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import os
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import sys
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import json
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import time
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import subprocess
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from pathlib import Path
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from typing import Optional, Tuple
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from packaging import version
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import urllib.request
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import urllib.error
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from datetime import datetime, timedelta
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from .ui import display_info, display_warning, display_success, Colors
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from .logger import get_logger
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from .paths import get_home_directory
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class UpdateChecker:
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"""Handles automatic update checking for SuperClaude"""
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PYPI_URL = "https://pypi.org/pypi/superclaude/json"
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CACHE_FILE = get_home_directory() / ".claude" / ".update_check"
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CHECK_INTERVAL = 86400 # 24 hours in seconds
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TIMEOUT = 2 # seconds
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def __init__(self, current_version: str):
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"""
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Initialize update checker
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Args:
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current_version: Current installed version
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"""
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self.current_version = current_version
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self.logger = get_logger()
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def should_check_update(self, force: bool = False) -> bool:
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"""
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Determine if we should check for updates based on last check time
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Args:
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force: Force check regardless of last check time
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Returns:
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True if update check should be performed
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"""
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if force:
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return True
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if not self.CACHE_FILE.exists():
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return True
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try:
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with open(self.CACHE_FILE, "r") as f:
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data = json.load(f)
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last_check = data.get("last_check", 0)
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# Check if 24 hours have passed
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if time.time() - last_check > self.CHECK_INTERVAL:
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return True
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except (json.JSONDecodeError, KeyError):
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return True
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return False
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def save_check_timestamp(self):
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"""Save the current timestamp as last check time"""
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self.CACHE_FILE.parent.mkdir(parents=True, exist_ok=True)
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data = {}
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if self.CACHE_FILE.exists():
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try:
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with open(self.CACHE_FILE, "r") as f:
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data = json.load(f)
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except:
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pass
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data["last_check"] = time.time()
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with open(self.CACHE_FILE, "w") as f:
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json.dump(data, f)
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def get_latest_version(self) -> Optional[str]:
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"""
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Query PyPI for the latest version of SuperClaude
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Returns:
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Latest version string or None if check fails
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"""
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try:
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# Create request with timeout
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req = urllib.request.Request(
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self.PYPI_URL, headers={"User-Agent": "superclaude-Updater"}
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)
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# Set timeout for the request
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with urllib.request.urlopen(req, timeout=self.TIMEOUT) as response:
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data = json.loads(response.read().decode())
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latest = data.get("info", {}).get("version")
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if self.logger:
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self.logger.debug(f"Latest PyPI version: {latest}")
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return latest
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except (
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urllib.error.URLError,
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urllib.error.HTTPError,
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json.JSONDecodeError,
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) as e:
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if self.logger:
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self.logger.debug(f"Failed to check PyPI: {e}")
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return None
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except Exception as e:
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if self.logger:
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self.logger.debug(f"Unexpected error checking updates: {e}")
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return None
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def compare_versions(self, latest: str) -> bool:
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"""
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Compare current version with latest version
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Args:
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latest: Latest version string
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Returns:
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True if update is available
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"""
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try:
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return version.parse(latest) > version.parse(self.current_version)
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except Exception:
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return False
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def detect_installation_method(self) -> str:
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"""
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Detect how SuperClaude was installed (pip, pipx, etc.)
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Returns:
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Installation method string
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"""
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# Check pipx first
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try:
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result = subprocess.run(
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["pipx", "list"], capture_output=True, text=True, timeout=2
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)
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if "superclaude" in result.stdout or "superclaude" in result.stdout:
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return "pipx"
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except:
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pass
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# Check if pip installation exists
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try:
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result = subprocess.run(
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[sys.executable, "-m", "pip", "show", "superclaude"],
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capture_output=True,
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text=True,
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timeout=2,
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)
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if result.returncode == 0:
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# Check if it's a user installation
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if "--user" in result.stdout or get_home_directory() in Path(
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result.stdout
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):
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return "pip-user"
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return "pip"
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except:
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pass
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return "unknown"
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def get_update_command(self) -> str:
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"""
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Get the appropriate update command based on installation method
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Returns:
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Update command string
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"""
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method = self.detect_installation_method()
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commands = {
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"pipx": "pipx upgrade SuperClaude",
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"pip-user": "pip install --upgrade --user SuperClaude",
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"pip": "pip install --upgrade SuperClaude",
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"unknown": "pip install --upgrade SuperClaude",
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}
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return commands.get(method, commands["unknown"])
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def show_update_banner(self, latest: str, auto_update: bool = False) -> bool:
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"""
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Display update available banner
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Args:
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latest: Latest version available
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auto_update: Whether to auto-update without prompting
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Returns:
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True if user wants to update
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"""
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update_cmd = self.get_update_command()
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# Display banner
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print(
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f"\n{Colors.CYAN}+================================================+{Colors.RESET}"
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)
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print(
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f"{Colors.CYAN}║{Colors.YELLOW} 🚀 Update Available: {self.current_version} → {latest} {Colors.CYAN}║{Colors.RESET}"
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)
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print(
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f"{Colors.CYAN}║{Colors.GREEN} Run: {update_cmd:<30} {Colors.CYAN}║{Colors.RESET}"
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)
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print(
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f"{Colors.CYAN}+================================================+{Colors.RESET}\n"
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)
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if auto_update:
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return True
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# Check if running in non-interactive mode
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if not sys.stdin.isatty():
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return False
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# Prompt user
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try:
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response = (
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input(
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f"{Colors.YELLOW}Would you like to update now? (y/N): {Colors.RESET}"
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)
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.strip()
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.lower()
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)
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return response in ["y", "yes"]
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except (EOFError, KeyboardInterrupt):
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return False
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def perform_update(self) -> bool:
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"""
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Execute the update command
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Returns:
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True if update succeeded
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"""
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update_cmd = self.get_update_command()
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print(f"{Colors.CYAN}🔄 Updating superclaude...{Colors.RESET}")
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try:
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result = subprocess.run(update_cmd.split(), capture_output=False, text=True)
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if result.returncode == 0:
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display_success("Update completed successfully!")
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print(
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f"{Colors.YELLOW}Please restart SuperClaude to use the new version.{Colors.RESET}"
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)
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return True
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else:
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display_warning("Update failed. Please run manually:")
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print(f" {update_cmd}")
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return False
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except Exception as e:
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display_warning(f"Could not auto-update: {e}")
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print(f"Please run manually: {update_cmd}")
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return False
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def check_and_notify(self, force: bool = False, auto_update: bool = False) -> bool:
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"""
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Main method to check for updates and notify user
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Args:
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force: Force check regardless of last check time
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auto_update: Automatically update if available
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Returns:
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True if update was performed
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"""
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# Check if we should skip based on environment variable
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if os.getenv("SUPERCLAUDE_NO_UPDATE_CHECK", "").lower() in ["true", "1", "yes"]:
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return False
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# Check if auto-update is enabled via environment
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if os.getenv("SUPERCLAUDE_AUTO_UPDATE", "").lower() in ["true", "1", "yes"]:
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auto_update = True
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# Check if enough time has passed
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if not self.should_check_update(force):
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return False
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# Get latest version
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latest = self.get_latest_version()
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if not latest:
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return False
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# Save timestamp
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self.save_check_timestamp()
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# Compare versions
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if not self.compare_versions(latest):
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return False
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# Show banner and potentially update
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if self.show_update_banner(latest, auto_update):
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return self.perform_update()
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return False
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def check_for_updates(current_version: str = None, **kwargs) -> bool:
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"""
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Convenience function to check for updates
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Args:
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current_version: Current installed version (defaults to reading from setup)
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**kwargs: Additional arguments passed to check_and_notify
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Returns:
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True if update was performed
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"""
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if current_version is None:
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from setup import __version__
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current_version = __version__
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checker = UpdateChecker(current_version)
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return checker.check_and_notify(**kwargs)
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