Claude Code transcript - page 1/1

This project uses structlog, which does closely resemble the upstream Concierge project. However, we don't want to add that as an additional dependency here. Let's switch the entire project to use regular standard library logging. You can use rich to enhance the logging output since we are already ising that package. Plan this and then implement it across the entire repository.

Thinking

The user wants me to: 1. Switch from structlog to standard library logging 2. Use rich to enhance the logging output (already a dependency) 3. Plan this change 4. Implement it across the entire repository

This is a significant refactoring task that will affect multiple files. Let me: 1. First explore the codebase to understand how structlog is currently being used 2. Identify all files that use structlog 3. Plan the migration approach 4. Get user approval on the plan 5. Implement the changes

This is a non-trivial implementation task that involves architectural decisions (how to set up logging, how to use rich, what the logging configuration should look like). I should use EnterPlanMode to explore the codebase and create a plan for user approval.

I'll help you migrate from structlog to standard library logging with rich enhancements. This is a significant refactoring task that affects multiple files, so let me enter plan mode to explore the codebase and create a detailed implementation plan for your approval.

EnterPlanMode
{}
Entered plan mode. You should now focus on exploring the codebase and designing an implementation approach.

In plan mode, you should:
1. Thoroughly explore the codebase to understand existing patterns
2. Identify similar features and architectural approaches
3. Consider multiple approaches and their trade-offs
4. Use AskUserQuestion if you need to clarify the approach
5. Design a concrete implementation strategy
6. When ready, use ExitPlanMode to present your plan for approval

Remember: DO NOT write or edit any files yet. This is a read-only exploration and planning phase.
Thinking

I'm now in plan mode. I need to: 1. Phase 1: Explore the codebase to understand how structlog is currently used 2. Phase 2: Design the implementation approach 3. Phase 3: Review and clarify with the user if needed 4. Phase 4: Write the final plan 5. Phase 5: Call ExitPlanMode

Let me start with Phase 1 - I should launch an Explore agent to understand how structlog is being used across the codebase.

I'll explore the codebase to understand how structlog is currently being used and plan the migration to standard library logging with rich enhancements.

Task
Analyze structlog usage patterns
{
  "subagent_type": "Explore",
  "prompt": "Explore how structlog is currently used throughout this codebase. I need to understand:\n\n1. All files that import and use structlog\n2. How structlog is configured (look for get_logger, configure, etc.)\n3. Common logging patterns (what methods are used: info, debug, error, warning, etc.)\n4. What context/structured data is being passed to log calls\n5. Any custom processors or formatters being used\n\nPlease provide a comprehensive overview of the structlog usage patterns so I can plan a migration to standard library logging with rich enhancements.\n\nThoroughness level: very thorough"
}
[
  {
    "type": "text",
    "text": "Perfect! Now I have a comprehensive understanding of the structlog usage. Let me compile my findings into a detailed report.\n\n## COMPREHENSIVE STRUCTLOG USAGE ANALYSIS\n\nBased on my thorough exploration of the codebase, here's a complete overview of how structlog is currently used:\n\n---\n\n### 1. FILES THAT IMPORT AND USE STRUCTLOG\n\n**Total: 16 source files** (plus 1 configuration file) use structlog:\n\n**Core Files:**\n- `/home/ubuntu/concierge-py/src/concierge/core/logging.py` - Central logging configuration\n- `/home/ubuntu/concierge-py/src/concierge/core/manager.py` - Orchestration manager\n- `/home/ubuntu/concierge-py/src/concierge/core/plan.py` - Execution plan logic\n\n**System/Command Execution:**\n- `/home/ubuntu/concierge-py/src/concierge/system/runner.py` - System command executor\n- `/home/ubuntu/concierge-py/src/concierge/system/snap.py` - Snapd API client\n\n**Package Handlers:**\n- `/home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py` - Snap installation/removal\n- `/home/ubuntu/concierge-py/src/concierge/packages/deb_handler.py` - Debian package management\n\n**Providers:**\n- `/home/ubuntu/concierge-py/src/concierge/providers/lxd.py` - LXD provider\n- `/home/ubuntu/concierge-py/src/concierge/providers/microk8s.py` - MicroK8s provider\n- `/home/ubuntu/concierge-py/src/concierge/providers/k8s.py` - Kubernetes provider\n- `/home/ubuntu/concierge-py/src/concierge/providers/google.py` - Google Cloud provider\n\n**Juju Integration:**\n- `/home/ubuntu/concierge-py/src/concierge/juju/handler.py` - Juju installation/bootstrap\n\n**CLI Commands:**\n- `/home/ubuntu/concierge-py/src/concierge/cli/commands/prepare.py` - Prepare command\n- `/home/ubuntu/concierge-py/src/concierge/cli/commands/restore.py` - Restore command\n- `/home/ubuntu/concierge-py/src/concierge/cli/commands/status.py` - Status command\n\n**Configuration:**\n- `/home/ubuntu/concierge-py/src/concierge/config/loader.py` - Configuration loading\n\n---\n\n### 2. STRUCTLOG CONFIGURATION\n\n**Location:** `/home/ubuntu/concierge-py/src/concierge/core/logging.py`\n\n**Configuration Details:**\n\n```python\ndef setup_logging(verbose: bool = False, trace: bool = False) -> None:\n```\n\n**Processors Chain (in order):**\n1. `structlog.contextvars.merge_contextvars` - Merges context variables from async contexts\n2. `structlog.processors.add_log_level` - Adds log level to event dict\n3. `structlog.processors.StackInfoRenderer()` - Renders stack information\n4. `structlog.dev.set_exc_info` - Adds exception info in dev mode\n5. `structlog.processors.TimeStamper(fmt=\"%Y-%m-%d %H:%M:%S\", utc=False)` - Adds timestamps\n6. `structlog.dev.ConsoleRenderer(colors=True)` - Renders colored console output\n\n**Other Configuration:**\n- `wrapper_class`: `structlog.make_filtering_bound_logger(log_level)` - Filters logs by level\n- `context_class`: `dict` - Uses standard Python dict for context\n- `logger_factory`: `structlog.PrintLoggerFactory()` - Outputs to stdout via PrintLogger\n- `cache_logger_on_first_use`: `True` - Caches logger instance\n\n**Log Levels:**\n- `trace=True` → `logging.DEBUG` (most verbose)\n- `verbose=True` → `logging.INFO` (moderate)\n- Default → `logging.WARNING` (least verbose)\n\n**Initialization:**\n- Called from: `/home/ubuntu/concierge-py/src/concierge/cli/app.py` in the `main()` callback\n- Setup happens before any command execution via `setup_logging(verbose=verbose, trace=trace)`\n\n**Custom get_logger() wrapper:**\n```python\ndef get_logger(name: str = \"\") -> structlog.BoundLogger:\n    if name:\n        return structlog.get_logger().bind(logger=name)\n    return structlog.get_logger()\n```\n- Optionally binds a `logger` field to the context for named loggers\n\n---\n\n### 3. COMMON LOGGING PATTERNS\n\n**Logging Methods Used:**\n\n| Method | Count | Usage Pattern |\n|--------|-------|---------------|\n| `.info()` | ~30 calls | Main operational events (preparation, bootstrap, installation) |\n| `.debug()` | ~14 calls | Detailed operation tracking (command execution, file operations) |\n| `.warning()` | ~7 calls | Non-fatal errors and fallback scenarios |\n| `.exception()` | 1 call | Exception logging with stack trace (in status.py) |\n\n**Most Common Messages:**\n\n```python\n# Lifecycle events\nlogger.info(\"Prepared provider\", provider=provider_name)\nlogger.info(\"Restored provider\", provider=provider_name)\nlogger.info(\"Starting environment preparation\")\nlogger.info(\"Environment preparation completed successfully\")\n\n# Snap/Package operations\nlogger.info(f\"{log_action} snap\", snap=snap.name)\nlogger.info(\"Installed apt package\", package=package)\n\n# Juju operations\nlogger.info(\"Bootstrapping Juju\", provider=provider.name())\nlogger.info(\"Bootstrapped Juju\", provider=provider.name())\n\n# Debug operations\nlogger.debug(\"Starting command\", command=command_string, **log_ctx)\nlogger.debug(\"Finished command\", command=command_string)\nlogger.debug(\"Wrote file\", path=str(full_path))\n\n# Warnings\nlogger.warning(\"Failed to check snap confinement\", snap=snap_name, error=str(e))\nlogger.warning(\"Failed to change ownership\", path=str(item), error=str(e))\n```\n\n---\n\n### 4. STRUCTURED DATA / CONTEXT PASSED TO LOG CALLS\n\n**Types of Context Data:**\n\n**Provider/Resource Names:**\n```python\nlogger.info(\"Bootstrapping Juju\", provider=provider.name())\nlogger.info(\"Prepared provider\", provider=self.name())\nlogger.warning(\"Provider will not be bootstrapped because Juju is disabled\", provider=provider_name)\n```\n\n**File Paths:**\n```python\nlogger.debug(\"Wrote file\", path=str(full_path))\nlogger.debug(\"Created directory\", path=str(full_path))\nlogger.debug(\"Removed path\", path=str(full_path))\nlogger.debug(\"Merged runtime configuration saved\", path=str(filepath))\nlogger.debug(\"Loaded previous runtime configuration\", path=str(record_path))\n```\n\n**Snap/Package Information:**\n```python\nlogger.debug(\"Installing snap\", snap=snap.name)\nlogger.info(f\"{log_action} snap\", snap=snap.name)\nlogger.info(\"Installed apt package\", package=package)\nlogger.debug(\n    \"Queried snapd API\",\n    snap=snap_name,\n    installed=installed,\n    classic=classic,\n    tracking=tracking_channel,\n)\n```\n\n**Command Execution Context:**\n```python\nlogger.debug(\"Starting command\", command=command_string, **log_ctx)\n# log_ctx contains: {\"user\": cmd.user} or {\"user\": cmd.user, \"group\": cmd.group}\n\nlogger.debug(\"Changed ownership\", path=str(path), user=sudo_user)\n```\n\n**Configuration Context:**\n```python\nlogger.info(\n    \"Configuration loaded\",\n    juju_enabled=not config.juju.disable,\n    providers={\n        \"lxd\": config.providers.lxd.enable,\n        \"microk8s\": config.providers.microk8s.enable,\n        \"k8s\": config.providers.k8s.enable,\n        \"google\": config.providers.google.enable,\n    },\n)\n```\n\n**Error Information:**\n```python\nlogger.warning(\"Failed to check snap confinement\", snap=snap_name, error=str(e))\nlogger.warning(\"Failed to get MicroK8s channels\", error=str(e))\nlogger.warning(\"Could not find user info\", user=sudo_user)\n```\n\n**Channel/Version Information:**\n```python\nlogger.debug(\n    \"LXD channel mismatch, stopping for refresh\",\n    tracking=snap_info.tracking_channel,\n    target=self.channel,\n)\nlogger.debug(\n    \"Skipping LXD stop - no channel change required\",\n    tracking=snap_info.tracking_channel,\n    target=self.channel,\n)\n```\n\n**Preset/Config Loading:**\n```python\nlogger.info(\"Loading preset\", preset=preset)\nlogger.info(\"No config file found, using 'dev' preset\")\nlogger.info(\"Loading configuration file\", path=str(path))\n```\n\n---\n\n### 5. CUSTOM PROCESSORS OR FORMATTERS\n\n**No custom processors or formatters are currently defined.** The implementation uses only built-in structlog processors:\n\n- **Development-specific processors used:**\n  - `structlog.dev.set_exc_info` - Adds exception info in development\n  - `structlog.dev.ConsoleRenderer(colors=True)` - Colored console output\n\n- **Standard processors used:**\n  - `structlog.contextvars.merge_contextvars` - Context variable integration\n  - `structlog.processors.add_log_level` - Log level field\n  - `structlog.processors.StackInfoRenderer()` - Stack traces\n  - `structlog.processors.TimeStamper()` - Timestamps\n\n- **No custom implementations for:**\n  - Log record formatting\n  - Special filtering\n  - Custom renderers\n  - Processor chains\n\n---\n\n### 6. LOGGER INSTANTIATION PATTERN\n\n**Universal Pattern (Consistent across all files):**\n\n```python\nimport structlog\n\nlogger = structlog.get_logger()\n```\n\n**Or optionally with custom naming:**\n\n```python\nlogger = structlog.get_logger().bind(logger=name)\n```\n\nThis is done at module level in all 16 source files, making the logger a module-level singleton.\n\n---\n\n## SUMMARY FOR MIGRATION PLANNING\n\n**Key Migration Considerations:**\n\n1. **Global State:** Logging is initialized once at CLI startup via `setup_logging()` in the app's main callback\n2. **Standard Library Readiness:** Already using `logging.basicConfig()` alongside structlog, making transition straightforward\n3. **Context Passing:** All context is passed as keyword arguments to log methods - compatible with `logging.LoggerAdapter` or manual context passing\n4. **Log Levels:** Simple 3-tier system (WARNING/INFO/DEBUG) - easily maps to standard library\n5. **Development Features:** Uses colored console output and exception info rendering - can be replicated with `rich` integration\n6. **No Complex Features:** No custom processors, context managers, or async-specific structlog features requiring special migration handling\n\n**Files requiring updates (16 total):**\n- 1 configuration file: `logging.py`\n- 15 usage files across system, providers, packages, juju, config, and CLI\n\nThis is a relatively straightforward migration candidate with consistent patterns throughout the codebase."
  },
  {
    "type": "text",
    "text": "agentId: af849b4 (for resuming to continue this agent's work if needed)"
  }
]
Thinking

Great! The Explore agent has provided a comprehensive analysis of structlog usage. Now I have a clear understanding of:

  1. 16 source files use structlog
  2. One central configuration file (logging.py)
  3. Simple logging patterns (info, debug, warning, exception)
  4. Structured data is passed as keyword arguments
  5. No custom processors or formatters

Now I should move to Phase 2: Design. I'll launch a Plan agent to design the implementation approach for migrating to standard library logging with rich enhancements.

Excellent! I have a comprehensive understanding of the structlog usage. Now let me design the implementation approach.

Task
Design stdlib logging migration
{
  "subagent_type": "Plan",
  "prompt": "Design a migration plan from structlog to Python standard library logging with rich enhancements.\n\n## Background Context\n\nThe codebase uses structlog across 16 source files with these characteristics:\n\n**Current Configuration** (`/home/ubuntu/concierge-py/src/concierge/core/logging.py`):\n- `setup_logging(verbose, trace)` function initializes logging at CLI startup\n- Log levels: trace→DEBUG, verbose→INFO, default→WARNING\n- Features: colored console output, timestamps, exception info, context variables\n- Logger retrieval: `structlog.get_logger()` at module level, optional `.bind(logger=name)`\n\n**Usage Patterns:**\n- Methods: `.info()`, `.debug()`, `.warning()`, `.exception()`\n- Context data passed as kwargs: provider names, file paths, snap/package info, command details, error messages\n- Example: `logger.info(\"Bootstrapping Juju\", provider=provider.name())`\n\n**Files to Update (16 total):**\n- Core: logging.py, manager.py, plan.py\n- System: runner.py, snap.py\n- Packages: snap_handler.py, deb_handler.py\n- Providers: lxd.py, microk8s.py, k8s.py, google.py\n- Juju: handler.py\n- CLI: prepare.py, restore.py, status.py\n- Config: loader.py\n\n## Requirements\n\n1. Replace structlog with Python's standard library `logging`\n2. Use `rich` package (already a dependency) to enhance logging output with:\n   - Colored output\n   - Nice formatting\n   - Timestamps\n3. Preserve the structured logging capability (context data as kwargs)\n4. Maintain the same log levels and verbosity settings\n5. Keep the same initialization pattern (setup at CLI startup)\n6. Ensure minimal changes to existing log call sites\n\n## Design Tasks\n\nPlease design:\n\n1. **New logging configuration approach:**\n   - How to set up stdlib logging with rich integration\n   - How to handle the 3-tier log level system\n   - How to format log messages with context data (kwargs)\n   - How to implement colored output using rich\n\n2. **Helper/wrapper functions:**\n   - Whether to create a custom LoggerAdapter or wrapper to handle context kwargs\n   - How to maintain the `get_logger(name)` pattern\n   - Whether additional utilities are needed\n\n3. **Migration strategy:**\n   - Changes needed in logging.py (configuration)\n   - Changes needed in all 16 source files (import and usage)\n   - Whether any breaking changes to log call signatures are needed\n\n4. **Rich integration options:**\n   - Use RichHandler?\n   - Custom formatter?\n   - How to preserve colors and formatting?\n\nPlease provide a detailed implementation plan with specific code approaches and file-by-file changes."
}
[
  {
    "type": "text",
    "text": "Excellent! Now I have a complete understanding. Let me create a comprehensive migration plan:\n\n# Migration Plan: structlog to Python Standard Library Logging with Rich\n\n## Executive Summary\n\nThis plan outlines the migration from structlog to Python's standard library `logging` module enhanced with the `rich` package. The migration preserves all existing functionality including structured logging (context data as kwargs), colored output, timestamps, and the three-tier log level system, while minimizing changes to existing log call sites.\n\n## Analysis Summary\n\n**Current State:**\n- 16 source files use structlog\n- Centralized configuration in `/home/ubuntu/concierge-py/src/concierge/core/logging.py`\n- Log levels: trace→DEBUG, verbose→INFO, default→WARNING\n- Features: colored console output, timestamps, exception info, context variables\n- Logger retrieval: `structlog.get_logger()` with optional `.bind(logger=name)`\n- Usage: `.info()`, `.debug()`, `.warning()`, `.exception()` with kwargs for context\n\n**Key Patterns Identified:**\n1. Module-level logger instantiation: `logger = structlog.get_logger()`\n2. Context data passed as kwargs: `logger.info(\"message\", provider=name, snap=snap_name)`\n3. F-string usage: `logger.info(f\"{action} snap\", snap=snap.name)`\n4. Exception logging: `logger.exception(\"message\")`\n5. Multiple context fields: `logger.debug(\"command\", command=cmd, user=user, group=group)`\n\n## Design Approach\n\n### 1. New Logging Configuration\n\n**File: `/home/ubuntu/concierge-py/src/concierge/core/logging.py`**\n\nThe new implementation will:\n\n1. **Use `rich.logging.RichHandler`** as the primary handler\n   - Provides colored output, timestamps, and nice formatting out of the box\n   - Automatically handles console rendering with colors\n\n2. **Create a custom `LoggerAdapter`** to preserve kwargs functionality\n   - Wraps stdlib loggers to accept context data as kwargs\n   - Formats kwargs into a structured suffix (e.g., `[provider=lxd snap=juju]`)\n   - Maintains API compatibility with existing code\n\n3. **Configure log levels**:\n   - trace → `logging.DEBUG` (10)\n   - verbose → `logging.INFO` (20)\n   - default → `logging.WARNING` (30)\n\n4. **Rich handler configuration**:\n   - Enable markup and highlighting\n   - Show time and path information\n   - Use rich's built-in exception formatting (replaces structlog's exception rendering)\n\n**Implementation Strategy:**\n\n```python\n# New logging.py structure:\n\nimport logging\nimport sys\nfrom typing import Any\n\nfrom rich.console import Console\nfrom rich.logging import RichHandler\n\n\nclass StructuredLoggerAdapter(logging.LoggerAdapter):\n    \"\"\"Adapter that formats kwargs as structured context data.\n    \n    This adapter preserves the structlog-like API where context data\n    can be passed as kwargs to logging methods.\n    \n    Example:\n        logger.info(\"Bootstrap complete\", provider=\"lxd\", duration=42.5)\n        # Output: Bootstrap complete [provider=lxd duration=42.5]\n    \"\"\"\n    \n    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:\n        # Extract context data from kwargs (anything that's not a stdlib logging kwarg)\n        stdlib_kwargs = {'exc_info', 'stack_info', 'stacklevel', 'extra'}\n        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}\n        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}\n        \n        # Format context data as suffix\n        if context:\n            context_str = \" \".join(f\"{k}={v}\" for k, v in sorted(context.items()))\n            msg = f\"{msg} [dim][[/dim]{context_str}[dim]][/dim]\"\n        \n        return msg, clean_kwargs\n\n\ndef setup_logging(verbose: bool = False, trace: bool = False) -> None:\n    \"\"\"Configure logging with rich integration.\n    \n    Args:\n        verbose: Enable verbose (INFO) logging\n        trace: Enable trace (DEBUG) logging\n    \"\"\"\n    # Determine log level\n    if trace:\n        log_level = logging.DEBUG\n    elif verbose:\n        log_level = logging.INFO\n    else:\n        log_level = logging.WARNING\n    \n    # Configure rich console\n    console = Console(stderr=True)\n    \n    # Create rich handler\n    handler = RichHandler(\n        console=console,\n        show_time=True,\n        show_path=True,\n        markup=True,\n        rich_tracebacks=True,\n        tracebacks_show_locals=trace,\n    )\n    \n    # Configure root logger\n    logging.basicConfig(\n        level=log_level,\n        format=\"%(message)s\",\n        handlers=[handler],\n    )\n\n\ndef get_logger(name: str = \"\") -> StructuredLoggerAdapter:\n    \"\"\"Get a logger instance with structured logging support.\n    \n    Args:\n        name: Optional logger name for context\n        \n    Returns:\n        Logger adapter that supports structured logging\n    \"\"\"\n    if name:\n        logger = logging.getLogger(name)\n    else:\n        logger = logging.getLogger(__name__)\n    \n    return StructuredLoggerAdapter(logger, {})\n```\n\n**Key Design Decisions:**\n\n1. **StructuredLoggerAdapter**: Custom adapter preserves the kwargs-based API while translating to stdlib logging. Context data is formatted as a visually distinct suffix with rich markup for dimmed brackets.\n\n2. **RichHandler**: Provides all the visual enhancements (colors, timestamps, formatting) that structlog was providing, plus better exception rendering.\n\n3. **Markup support**: Using rich's markup (`[dim]`, `[/dim]`) allows us to make context data visually distinct without losing readability.\n\n4. **Minimal API changes**: The `get_logger(name)` function signature remains identical, so no call sites need updates.\n\n### 2. Alternative Design: Custom Formatter\n\nAn alternative approach uses a custom formatter instead of a LoggerAdapter:\n\n```python\nclass StructuredFormatter(logging.Formatter):\n    \"\"\"Formatter that extracts and formats structured context data.\"\"\"\n    \n    def format(self, record: logging.LogRecord) -> str:\n        # Extract context from 'extra' dict\n        if hasattr(record, '_context'):\n            context = record._context\n            context_str = \" \".join(f\"{k}={v}\" for k, v in sorted(context.items()))\n            record.msg = f\"{record.msg} [{context_str}]\"\n        \n        return super().format(record)\n```\n\n**Recommendation**: Use the LoggerAdapter approach as it's cleaner and doesn't require modifying LogRecords.\n\n### 3. Migration Strategy\n\n#### Phase 1: Update Core Logging Module\n\n**File: `/home/ubuntu/concierge-py/src/concierge/core/logging.py`**\n\nChanges:\n1. Replace structlog imports with stdlib logging + rich\n2. Implement `StructuredLoggerAdapter`\n3. Update `setup_logging()` to configure RichHandler\n4. Update `get_logger()` to return adapter instead of BoundLogger\n5. Update type hints: `structlog.BoundLogger` → `StructuredLoggerAdapter`\n\n**Impact**: This is the only file with breaking API changes internally, but the external API (`setup_logging`, `get_logger`) remains compatible.\n\n#### Phase 2: Update Import Statements (16 files)\n\nAll 16 source files need the same simple change:\n\n**Before:**\n```python\nimport structlog\n\nlogger = structlog.get_logger()\n```\n\n**After:**\n```python\nfrom concierge.core.logging import get_logger\n\nlogger = get_logger(__name__)\n```\n\n**Files to update:**\n1. `/home/ubuntu/concierge-py/src/concierge/core/manager.py`\n2. `/home/ubuntu/concierge-py/src/concierge/core/plan.py`\n3. `/home/ubuntu/concierge-py/src/concierge/system/runner.py`\n4. `/home/ubuntu/concierge-py/src/concierge/system/snap.py`\n5. `/home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py`\n6. `/home/ubuntu/concierge-py/src/concierge/packages/deb_handler.py`\n7. `/home/ubuntu/concierge-py/src/concierge/providers/lxd.py`\n8. `/home/ubuntu/concierge-py/src/concierge/providers/microk8s.py`\n9. `/home/ubuntu/concierge-py/src/concierge/providers/k8s.py`\n10. `/home/ubuntu/concierge-py/src/concierge/providers/google.py`\n11. `/home/ubuntu/concierge-py/src/concierge/juju/handler.py`\n12. `/home/ubuntu/concierge-py/src/concierge/cli/commands/prepare.py`\n13. `/home/ubuntu/concierge-py/src/concierge/cli/commands/restore.py`\n14. `/home/ubuntu/concierge-py/src/concierge/cli/commands/status.py`\n15. `/home/ubuntu/concierge-py/src/concierge/config/loader.py`\n16. `/home/ubuntu/concierge-py/src/concierge/cli/app.py` (only imports `setup_logging`, no logger needed)\n\n**Pattern**: Each file gets:\n- Replace `import structlog` with `from concierge.core.logging import get_logger`\n- Replace `logger = structlog.get_logger()` with `logger = get_logger(__name__)`\n\n**Note**: Using `__name__` provides better logger hierarchy and helps with debugging.\n\n#### Phase 3: Handle Edge Cases\n\n**1. F-string usage** (e.g., in `/home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py:83`):\n\n**Current:**\n```python\nlogger.info(f\"{log_action} snap\", snap=snap.name)\n```\n\n**Options:**\n- Leave as-is (works fine)\n- Or refactor to: `logger.info(\"Snap action completed\", action=log_action, snap=snap.name)`\n\n**Recommendation**: Leave as-is for minimal changes.\n\n**2. Exception logging** (e.g., in `/home/ubuntu/concierge-py/src/concierge/cli/commands/status.py:32`):\n\n**Current:**\n```python\nlogger.exception(\"No previous Concierge preparation found\")\n```\n\n**After:** (no changes needed, stdlib logging supports `.exception()`)\n```python\nlogger.exception(\"No previous Concierge preparation found\")\n```\n\nThe LoggerAdapter properly delegates to the underlying logger's `.exception()` method.\n\n**3. Warning calls**:\n\nAll `.warning()` calls work as-is since LoggerAdapter delegates properly.\n\n#### Phase 4: Update Dependencies\n\n**File: `/home/ubuntu/concierge-py/pyproject.toml`**\n\n**Before:**\n```toml\ndependencies = [\n    \"typer[all]>=0.12.0\",\n    \"rich>=13.7.0\",\n    \"aiohttp>=3.9.0\",\n    \"pydantic>=2.6.0\",\n    \"pyyaml>=6.0\",\n    \"tenacity>=8.2.0\",\n    \"structlog>=24.1.0\",\n]\n```\n\n**After:**\n```toml\ndependencies = [\n    \"typer[all]>=0.12.0\",\n    \"rich>=13.7.0\",\n    \"aiohttp>=3.9.0\",\n    \"pydantic>=2.6.0\",\n    \"pyyaml>=6.0\",\n    \"tenacity>=8.2.0\",\n]\n```\n\n**Change**: Remove `structlog>=24.1.0` (rich is already present, no additions needed)\n\n### 4. Rich Integration Details\n\n**RichHandler Configuration:**\n\n```python\nRichHandler(\n    console=console,           # Rich console for rendering\n    show_time=True,           # Show timestamps (replaces structlog TimeStamper)\n    show_path=True,           # Show module/line info for debugging\n    markup=True,              # Enable rich markup in log messages\n    rich_tracebacks=True,     # Enhanced exception formatting\n    tracebacks_show_locals=trace,  # Show local vars in trace mode\n)\n```\n\n**Benefits over structlog:**\n- Better exception rendering with syntax highlighting\n- More consistent formatting across log levels\n- Native support for rich markup in messages\n- Simpler configuration\n- No need for processor chains\n\n**Color scheme:**\n- DEBUG: dim cyan (automatic from rich)\n- INFO: default (automatic from rich)\n- WARNING: yellow/orange (automatic from rich)\n- ERROR: red (automatic from rich)\n- Context data: dimmed with brackets to distinguish from message\n\n### 5. Testing Strategy\n\n**Manual Testing:**\n1. Run `concierge prepare` with different log levels:\n   - Default (WARNING)\n   - `-v` (INFO)\n   - `--trace` (DEBUG)\n2. Verify colored output appears correctly\n3. Verify timestamps are displayed\n4. Verify context data appears in brackets\n5. Trigger an exception and verify rich traceback formatting\n\n**Visual Comparison:**\n\n**Before (structlog):**\n```\n2025-12-13 10:15:23 [info     ] Bootstrapping Juju            provider=lxd\n2025-12-13 10:15:45 [info     ] Bootstrapped Juju             provider=lxd\n```\n\n**After (stdlib + rich):**\n```\n10:15:23 concierge.juju.handler INFO     Bootstrapping Juju [provider=lxd]\n10:15:45 concierge.juju.handler INFO     Bootstrapped Juju [provider=lxd]\n```\n\nThe new format provides:\n- Module path (better debugging)\n- Log level name (clearer)\n- Structured context in brackets (clear separation)\n\n### 6. Rollback Plan\n\nIf issues are discovered:\n1. Revert `logging.py` to original structlog version\n2. Revert import changes in all 16 files\n3. Re-add structlog to `pyproject.toml`\n4. Run `pip install structlog`\n\nThe changes are isolated to:\n- 1 core module (`logging.py`)\n- 16 import statement changes\n- 1 dependency file (`pyproject.toml`)\n\nThis makes rollback straightforward.\n\n## Implementation Checklist\n\n### Step 1: Core Module\n- [ ] Backup current `logging.py`\n- [ ] Implement `StructuredLoggerAdapter` class\n- [ ] Update `setup_logging()` function with RichHandler\n- [ ] Update `get_logger()` return type and implementation\n- [ ] Update docstrings\n\n### Step 2: Update Imports (16 files)\n- [ ] `src/concierge/core/manager.py`\n- [ ] `src/concierge/core/plan.py`\n- [ ] `src/concierge/system/runner.py`\n- [ ] `src/concierge/system/snap.py`\n- [ ] `src/concierge/packages/snap_handler.py`\n- [ ] `src/concierge/packages/deb_handler.py`\n- [ ] `src/concierge/providers/lxd.py`\n- [ ] `src/concierge/providers/microk8s.py`\n- [ ] `src/concierge/providers/k8s.py`\n- [ ] `src/concierge/providers/google.py`\n- [ ] `src/concierge/juju/handler.py`\n- [ ] `src/concierge/cli/commands/prepare.py`\n- [ ] `src/concierge/cli/commands/restore.py`\n- [ ] `src/concierge/cli/commands/status.py`\n- [ ] `src/concierge/config/loader.py`\n\n### Step 3: Dependencies\n- [ ] Remove structlog from `pyproject.toml`\n- [ ] Run `pip install -e .` to update dependencies\n- [ ] Verify structlog is no longer installed\n\n### Step 4: Testing\n- [ ] Test default log level (WARNING)\n- [ ] Test verbose mode (`-v`)\n- [ ] Test trace mode (`--trace`)\n- [ ] Test exception logging\n- [ ] Test all CLI commands (prepare, restore, status)\n- [ ] Verify colored output\n- [ ] Verify context data formatting\n\n### Step 5: Code Quality\n- [ ] Run type checker: `ty check`\n- [ ] Run linter: `ruff check .`\n- [ ] Run formatter: `ruff format .`\n- [ ] Fix any type errors or linting issues\n\n## Detailed Code Changes\n\n### File: `/home/ubuntu/concierge-py/src/concierge/core/logging.py`\n\n**Complete new implementation:**\n\n```python\n\"\"\"Logging configuration for Concierge using stdlib logging with rich.\"\"\"\n\nimport logging\nimport sys\nfrom typing import Any\n\nfrom rich.console import Console\nfrom rich.logging import RichHandler\n\n\nclass StructuredLoggerAdapter(logging.LoggerAdapter):\n    \"\"\"Logger adapter that formats kwargs as structured context data.\n    \n    This adapter preserves the structlog-like API where context data\n    can be passed as kwargs to logging methods, making the migration\n    from structlog to stdlib logging seamless.\n    \n    Example:\n        logger = get_logger(__name__)\n        logger.info(\"Bootstrap complete\", provider=\"lxd\", duration=42.5)\n        # Output: Bootstrap complete [provider=lxd duration=42.5]\n    \"\"\"\n    \n    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:\n        \"\"\"Process log message and kwargs to extract context data.\n        \n        Args:\n            msg: Log message\n            kwargs: Keyword arguments including context data\n            \n        Returns:\n            Tuple of (formatted_message, cleaned_kwargs)\n        \"\"\"\n        # Standard library logging kwargs that should not be treated as context\n        stdlib_kwargs = {'exc_info', 'stack_info', 'stacklevel', 'extra'}\n        \n        # Extract context data (anything not a stdlib logging kwarg)\n        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}\n        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}\n        \n        # Format context data as a visually distinct suffix\n        if context:\n            context_items = [f\"{k}={v}\" for k, v in sorted(context.items())]\n            context_str = \" \".join(context_items)\n            msg = f\"{msg} [dim][[/dim]{context_str}[dim]][/dim]\"\n        \n        return msg, clean_kwargs\n\n\ndef setup_logging(verbose: bool = False, trace: bool = False) -> None:\n    \"\"\"Configure structured logging with rich integration.\n    \n    This function sets up the logging system with rich's RichHandler for\n    colored output, timestamps, and enhanced exception formatting.\n    \n    Args:\n        verbose: Enable verbose (INFO) logging\n        trace: Enable trace (DEBUG) logging with local variables in tracebacks\n    \"\"\"\n    # Determine log level based on flags\n    if trace:\n        log_level = logging.DEBUG\n    elif verbose:\n        log_level = logging.INFO\n    else:\n        log_level = logging.WARNING\n    \n    # Configure rich console for stderr output\n    console = Console(stderr=True, force_terminal=True)\n    \n    # Create rich handler with desired formatting\n    handler = RichHandler(\n        console=console,\n        show_time=True,              # Show timestamps\n        show_path=True,              # Show module and line number\n        markup=True,                 # Enable rich markup in messages\n        rich_tracebacks=True,        # Enhanced exception rendering\n        tracebacks_show_locals=trace, # Show local vars only in trace mode\n        log_time_format=\"[%Y-%m-%d %H:%M:%S]\",\n    )\n    \n    # Configure root logger\n    logging.basicConfig(\n        level=log_level,\n        format=\"%(message)s\",\n        handlers=[handler],\n    )\n\n\ndef get_logger(name: str = \"\") -> StructuredLoggerAdapter:\n    \"\"\"Get a structured logger instance.\n    \n    This function returns a logger adapter that supports passing context\n    data as keyword arguments, maintaining API compatibility with structlog.\n    \n    Args:\n        name: Logger name (typically __name__ of the module)\n        \n    Returns:\n        Configured logger adapter with structured logging support\n        \n    Example:\n        logger = get_logger(__name__)\n        logger.info(\"Processing item\", item_id=123, status=\"active\")\n    \"\"\"\n    if name:\n        logger = logging.getLogger(name)\n    else:\n        # Use the calling module's name if not specified\n        logger = logging.getLogger(__name__)\n    \n    return StructuredLoggerAdapter(logger, {})\n```\n\n### Example File Changes (Pattern for all 16 files)\n\n**File: `/home/ubuntu/concierge-py/src/concierge/core/manager.py`**\n\n**Change (lines 5 and 12):**\n\n```python\n# Before:\nimport structlog\n...\nlogger = structlog.get_logger()\n\n# After:\nfrom concierge.core.logging import get_logger\n...\nlogger = get_logger(__name__)\n```\n\n**File: `/home/ubuntu/concierge-py/src/concierge/juju/handler.py`**\n\n**Change (lines 7 and 25):**\n\n```python\n# Before:\nimport structlog\n...\nlogger = structlog.get_logger()\n\n# After:\nfrom concierge.core.logging import get_logger\n...\nlogger = get_logger(__name__)\n```\n\n**Pattern applies to all 16 files identically.**\n\n## Risk Assessment\n\n**Low Risk:**\n- Rich is already a dependency (used by typer)\n- Python stdlib logging is battle-tested and stable\n- Changes are isolated and mechanical\n- No breaking changes to external API\n- Easy rollback path\n\n**Medium Risk:**\n- Visual output will change slightly (different timestamp format, module names shown)\n- Context data formatting changes from `key=value` to `[key=value]`\n\n**Mitigation:**\n- Test thoroughly with all CLI commands\n- Verify output readability\n- Update documentation if output format is documented\n\n## Performance Considerations\n\n**Expected improvements:**\n- Rich rendering is highly optimized\n- No processor chain overhead (structlog runs multiple processors)\n- Stdlib logging is faster than structlog for simple cases\n\n**Expected neutral:**\n- LoggerAdapter adds minimal overhead (single dict comprehension per log call)\n- Overall performance impact negligible (logging is I/O bound)\n\n## Benefits of Migration\n\n1. **Reduced dependencies**: Remove structlog dependency\n2. **Better ecosystem integration**: Stdlib logging is more widely understood\n3. **Enhanced visuals**: Rich provides superior exception formatting\n4. **Simpler configuration**: No processor chains to configure\n5. **Better debugging**: Module paths in logs make debugging easier\n6. **Maintained functionality**: All structured logging capabilities preserved\n7. **Future flexibility**: Easier to add custom handlers or formatters\n\n## Potential Challenges\n\n1. **Visual output changes**: Users may need to adjust to new log format\n   - **Solution**: Document the changes, highlight improved readability\n\n2. **Loss of structlog-specific features**: Some advanced structlog features not used\n   - **Solution**: Current code doesn't use advanced features, so no impact\n\n3. **Type checking**: May need to update type hints if checkers complain\n   - **Solution**: `StructuredLoggerAdapter` provides proper type hints\n\n## Alternative Approaches Considered\n\n### Approach 1: Keep structlog, just change renderer\n- **Pros**: Minimal changes\n- **Cons**: Keeps extra dependency, doesn't simplify architecture\n- **Verdict**: Not recommended\n\n### Approach 2: Pure stdlib logging without adapter\n- **Pros**: Simplest possible implementation\n- **Cons**: Requires changing all log call sites to use `extra={}` dict\n- **Verdict**: Too many changes across codebase\n\n### Approach 3: Custom formatter instead of adapter\n- **Pros**: Different implementation approach\n- **Cons**: More complex, modifies LogRecords directly\n- **Verdict**: LoggerAdapter is cleaner\n\n### Recommended Approach: LoggerAdapter + RichHandler\n- **Pros**: Minimal call site changes, clean implementation, good visuals\n- **Cons**: Slight visual differences from current output\n- **Verdict**: Best balance of simplicity and functionality\n\n---\n\n### Critical Files for Implementation\n\n- `/home/ubuntu/concierge-py/src/concierge/core/logging.py` - Core logging configuration and StructuredLoggerAdapter implementation\n- `/home/ubuntu/concierge-py/src/concierge/system/runner.py` - Heavy logging usage with multiple context fields, good test case\n- `/home/ubuntu/concierge-py/src/concierge/juju/handler.py` - Complex logging with provider context, exception handling\n- `/home/ubuntu/concierge-py/src/concierge/cli/app.py` - Entry point where logging is initialized\n- `/home/ubuntu/concierge-py/pyproject.toml` - Dependency management"
  },
  {
    "type": "text",
    "text": "agentId: a788f52 (for resuming to continue this agent's work if needed)"
  }
]
Thinking

Excellent! The Plan agent has provided a very comprehensive implementation plan. Now I'm in Phase 3: Review. Let me:1. Read the critical files to deepen my understanding 2. Ensure the plans align with the user's request 3. Check if I need to ask any clarifying questionsLet me read a few critical files to verify the plan is accurate: - logging.py (the main file to modify) - One or two usage files to confirm the patterns - pyproject.toml to verify dependencies

Perfect! Now let me review the critical files to verify the plan is accurate.

Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/core/logging.py"
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/juju/handler.py"
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/pyproject.toml"
}
     1→"""Logging configuration for Concierge using structlog."""
     2→
     3→import logging
     4→import sys
     5→
     6→import structlog
     7→
     8→
     9→def setup_logging(verbose: bool = False, trace: bool = False) -> None:
    10→    """Configure structured logging for the application.
    11→
    12→    Args:
    13→        verbose: Enable verbose (DEBUG) logging
    14→        trace: Enable trace logging (more detailed than DEBUG)
    15→    """
    16→    # Determine log level
    17→    if trace:
    18→        log_level = logging.DEBUG
    19→    elif verbose:
    20→        log_level = logging.INFO
    21→    else:
    22→        log_level = logging.WARNING
    23→
    24→    # Configure standard logging
    25→    logging.basicConfig(
    26→        format="%(message)s",
    27→        stream=sys.stdout,
    28→        level=log_level,
    29→    )
    30→
    31→    # Configure structlog
    32→    structlog.configure(
    33→        processors=[
    34→            structlog.contextvars.merge_contextvars,
    35→            structlog.processors.add_log_level,
    36→            structlog.processors.StackInfoRenderer(),
    37→            structlog.dev.set_exc_info,
    38→            structlog.processors.TimeStamper(fmt="%Y-%m-%d %H:%M:%S", utc=False),
    39→            structlog.dev.ConsoleRenderer(colors=True),
    40→        ],
    41→        wrapper_class=structlog.make_filtering_bound_logger(log_level),
    42→        context_class=dict,
    43→        logger_factory=structlog.PrintLoggerFactory(),
    44→        cache_logger_on_first_use=True,
    45→    )
    46→
    47→
    48→def get_logger(name: str = "") -> structlog.BoundLogger:
    49→    """Get a structured logger instance.
    50→
    51→    Args:
    52→        name: Optional logger name for context
    53→
    54→    Returns:
    55→        Configured structlog logger
    56→    """
    57→    if name:
    58→        return structlog.get_logger().bind(logger=name)
    59→    return structlog.get_logger()
    60→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Juju handler for installation and bootstrap."""
     2→
     3→import asyncio
     4→import shlex
     5→from pathlib import Path
     6→
     7→import structlog
     8→import yaml
     9→from tenacity import (
    10→    AsyncRetrying,
    11→    RetryError,
    12→    retry_if_exception_type,
    13→    stop_after_attempt,
    14→    wait_exponential,
    15→)
    16→
    17→from concierge.config.models import ConciergeConfig
    18→from concierge.juju.credentials import build_credentials_yaml
    19→from concierge.packages.snap_handler import SnapHandler
    20→from concierge.providers.base import Provider
    21→from concierge.system.command import Command, CommandError
    22→from concierge.system.models import Snap
    23→from concierge.system.worker import Worker
    24→
    25→logger = structlog.get_logger()
    26→
    27→
    28→def _merge_dicts[T](base: dict[str, T], override: dict[str, T]) -> dict[str, T]:
    29→    """Merge two dictionaries, with override taking precedence.
    30→
    31→    Args:
    32→        base: Base dictionary
    33→        override: Override dictionary
    34→
    35→    Returns:
    36→        Merged dictionary
    37→    """
    38→    result = base.copy()
    39→    result.update(override)
    40→    return result
    41→
    42→
    43→class JujuHandler:
    44→    """Handler for Juju installation and bootstrap.
    45→
    46→    This handler manages the Juju lifecycle, including installation,
    47→    credential management, and bootstrapping controllers across providers.
    48→    """
    49→
    50→    def __init__(
    51→        self,
    52→        system: Worker,
    53→        config: ConciergeConfig,
    54→        providers: list[Provider],
    55→    ) -> None:
    56→        """Initialize the Juju handler.
    57→
    58→        Args:
    59→            system: System worker for executing commands
    60→            config: Concierge configuration
    61→            providers: List of providers to bootstrap
    62→        """
    63→        self.system = system
    64→        self.providers = providers
    65→
    66→        # Apply channel override if present
    67→        channel = config.juju.channel
    68→        if config.overrides.juju_channel:
    69→            channel = config.overrides.juju_channel
    70→
    71→        self.channel = channel
    72→        self.agent_version = config.juju.agent_version
    73→        self.model_defaults = config.juju.model_defaults
    74→        self.bootstrap_constraints = config.juju.bootstrap_constraints
    75→        self.extra_bootstrap_args = config.juju.extra_bootstrap_args
    76→
    77→        self.snaps = [Snap(name="juju", channel=channel)]
    78→
    79→    async def prepare(self) -> None:
    80→        """Prepare Juju by installing, configuring, and bootstrapping.
    81→
    82→        Raises:
    83→            Exception: If preparation fails
    84→        """
    85→        await self._install()
    86→
    87→        # Create Juju data directory
    88→        await self.system.mk_home_subdir(Path(".local/share/juju"))
    89→
    90→        # Write credentials
    91→        await self._write_credentials()
    92→
    93→        # Bootstrap all providers
    94→        await self._bootstrap()
    95→
    96→    async def restore(self) -> None:
    97→        """Restore Juju by killing controllers and removing data.
    98→
    99→        Raises:
   100→            Exception: If restoration fails
   101→        """
   102→        # Kill controllers for credentialed providers
   103→        for provider in self.providers:
   104→            if not provider.credentials():
   105→                continue
   106→
   107→            await self._kill_provider(provider)
   108→
   109→        # Remove Juju data directory
   110→        await self.system.remove_all_home(Path(".local/share/juju"))
   111→
   112→        # Uninstall Juju snap
   113→        snap_handler = SnapHandler(self.system, self.snaps)
   114→        await snap_handler.restore()
   115→
   116→        logger.info("Restored Juju")
   117→
   118→    async def _install(self) -> None:
   119→        """Install the Juju snap.
   120→
   121→        Raises:
   122→            Exception: If installation fails
   123→        """
   124→        snap_handler = SnapHandler(self.system, self.snaps)
   125→        await snap_handler.prepare()
   126→
   127→    async def _write_credentials(self) -> None:
   128→        """Write Juju credentials file.
   129→
   130→        Raises:
   131→            Exception: If writing credentials fails
   132→        """
   133→        credentials_data = build_credentials_yaml(self.providers)
   134→
   135→        # Don't write if no credentials
   136→        if not credentials_data["credentials"]:
   137→            return
   138→
   139→        # Serialize to YAML
   140→        content = yaml.safe_dump(credentials_data, default_flow_style=False)
   141→
   142→        # Write to credentials.yaml
   143→        await self.system.write_home_file(
   144→            Path(".local/share/juju/credentials.yaml"), content.encode("utf-8")
   145→        )
   146→
   147→    async def _bootstrap(self) -> None:
   148→        """Bootstrap Juju on all configured providers concurrently.
   149→
   150→        Raises:
   151→            Exception: If bootstrap fails
   152→        """
   153→        # Bootstrap all providers concurrently
   154→        tasks = [self._bootstrap_provider(provider) for provider in self.providers]
   155→        await asyncio.gather(*tasks)
   156→
   157→    async def _bootstrap_provider(self, provider: Provider) -> None:
   158→        """Bootstrap Juju on a specific provider.
   159→
   160→        Args:
   161→            provider: Provider to bootstrap
   162→
   163→        Raises:
   164→            Exception: If bootstrap fails
   165→        """
   166→        if not provider.bootstrap():
   167→            return
   168→
   169→        controller_name = f"concierge-{provider.name()}"
   170→
   171→        # Check if already bootstrapped
   172→        if await self._check_bootstrapped(controller_name):
   173→            logger.info("Previous Juju controller found", provider=provider.name())
   174→            return
   175→
   176→        logger.info("Bootstrapping Juju", provider=provider.name())
   177→
   178→        # Build bootstrap command arguments
   179→        args = [
   180→            "bootstrap",
   181→            provider.cloud_name(),
   182→            controller_name,
   183→            "--verbose",
   184→        ]
   185→
   186→        # Add agent version if specified
   187→        if self.agent_version:
   188→            args.extend(["--agent-version", self.agent_version])
   189→
   190→        # Merge global and provider-specific configs
   191→        model_defaults = _merge_dicts(self.model_defaults, provider.model_defaults())
   192→        bootstrap_constraints = _merge_dicts(
   193→            self.bootstrap_constraints, provider.bootstrap_constraints()
   194→        )
   195→
   196→        # Add model-defaults
   197→        for key in sorted(model_defaults.keys()):
   198→            args.extend(["--model-default", f"{key}={model_defaults[key]}"])
   199→
   200→        # Add bootstrap-constraints
   201→        for key in sorted(bootstrap_constraints.keys()):
   202→            args.extend(["--bootstrap-constraints", f"{key}={bootstrap_constraints[key]}"])
   203→
   204→        # Add extra bootstrap args if present
   205→        if self.extra_bootstrap_args:
   206→            extra_args = shlex.split(self.extra_bootstrap_args)
   207→            args.extend(extra_args)
   208→
   209→        # Execute bootstrap
   210→        username = self.system.username()
   211→        group = provider.group_name()
   212→        cmd = Command(executable="juju", args=args, user=username, group=group)
   213→
   214→        await self.system.run_with_retries(cmd, 5 * 60 * 1000)  # 5 minutes in ms
   215→
   216→        # Create testing model
   217→        cmd = Command(
   218→            executable="juju",
   219→            args=["add-model", "-c", controller_name, "testing"],
   220→            user=username,
   221→        )
   222→        await self.system.run(cmd)
   223→
   224→        logger.info("Bootstrapped Juju", provider=provider.name())
   225→
   226→    async def _check_bootstrapped(self, controller_name: str) -> bool:
   227→        """Check if a Juju controller exists.
   228→
   229→        Args:
   230→            controller_name: Name of the controller
   231→
   232→        Returns:
   233→            True if controller exists
   234→
   235→        Raises:
   236→            Exception: If check fails unexpectedly
   237→        """
   238→        username = self.system.username()
   239→        cmd = Command(
   240→            executable="juju",
   241→            args=["show-controller", controller_name],
   242→            user=username,
   243→        )
   244→
   245→        # Retry the check with exponential backoff
   246→        try:
   247→            async for attempt in AsyncRetrying(
   248→                wait=wait_exponential(multiplier=1, min=1, max=10),
   249→                stop=stop_after_attempt(10),
   250→                retry=retry_if_exception_type(CommandError),
   251→                reraise=False,
   252→            ):
   253→                with attempt:
   254→                    await self.system.run(cmd)
   255→                    return True
   256→        except RetryError:
   257→            pass
   258→
   259→        # If all retries failed, check if it's because controller doesn't exist
   260→        try:
   261→            await self.system.run(cmd)
   262→            return True
   263→        except CommandError as e:
   264→            # Check if error is "controller not found"
   265→            if f"controller {controller_name} not found" in e.output:
   266→                return False
   267→            # Other errors should be re-raised
   268→            raise
   269→
   270→        return False
   271→
   272→    async def _kill_provider(self, provider: Provider) -> None:
   273→        """Destroy the Juju controller for a provider.
   274→
   275→        Args:
   276→            provider: Provider whose controller to destroy
   277→
   278→        Raises:
   279→            Exception: If controller destruction fails
   280→        """
   281→        controller_name = f"concierge-{provider.name()}"
   282→
   283→        # Check if controller exists
   284→        if not await self._check_bootstrapped(controller_name):
   285→            logger.info("No Juju controller found", provider=provider.name())
   286→            return
   287→
   288→        logger.info("Destroying Juju controller", provider=provider.name())
   289→
   290→        # Kill controller
   291→        username = self.system.username()
   292→        cmd = Command(
   293→            executable="juju",
   294→            args=["kill-controller", "--verbose", "--no-prompt", controller_name],
   295→            user=username,
   296→        )
   297→
   298→        await self.system.run(cmd)
   299→
   300→        logger.info("Destroyed Juju controller", provider=provider.name())
   301→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→[project]
     2→name = "concierge"
     3→version = "0.1.0"
     4→description = "A tool to provision and manage charm development environments"
     5→readme = "README.md"
     6→requires-python = ">=3.14"
     7→license = {text = "Apache-2.0"}
     8→authors = [
     9→    {name = "Canonical Ltd."}
    10→]
    11→dependencies = [
    12→    "typer[all]>=0.12.0",
    13→    "rich>=13.7.0",
    14→    "aiohttp>=3.9.0",
    15→    "pydantic>=2.6.0",
    16→    "pyyaml>=6.0",
    17→    "tenacity>=8.2.0",
    18→    "structlog>=24.1.0",
    19→]
    20→
    21→[project.optional-dependencies]
    22→dev = [
    23→    "pytest>=8.0.0",
    24→    "pytest-asyncio>=0.23.0",
    25→    "pytest-cov>=4.1.0",
    26→    "ty>=0.0.1a34",
    27→    "ruff>=0.2.0",
    28→]
    29→
    30→[project.scripts]
    31→concierge = "concierge.cli.app:app"
    32→
    33→[build-system]
    34→requires = ["hatchling"]
    35→build-backend = "hatchling.build"
    36→
    37→[tool.hatch.build.targets.wheel]
    38→packages = ["src/concierge"]
    39→
    40→[tool.pytest.ini_options]
    41→asyncio_mode = "auto"
    42→testpaths = ["tests"]
    43→python_files = "test_*.py"
    44→python_classes = "Test*"
    45→python_functions = "test_*"
    46→
    47→[tool.ruff]
    48→line-length = 100
    49→target-version = "py314"
    50→
    51→[tool.ruff.lint]
    52→select = ["E", "F", "I", "N", "UP", "ANN", "S", "B", "A", "C4", "DTZ", "T10", "ISC", "ICN", "PIE", "PT", "RET", "SIM", "ARG", "PTH", "PD", "PGH", "PL", "TRY", "NPY", "RUF"]
    53→ignore = [
    54→    "ANN401",    # Allow Any type annotations
    55→    "PLR0913",   # Allow many function arguments (CLI commands)
    56→    "PLR0912",   # Allow many branches in functions
    57→    "PLR2004",   # Allow magic values in comparisons
    58→    "TRY003",    # Allow long exception messages
    59→    "TRY004",    # Allow ValueError instead of TypeError for type checks
    60→    "TRY300",    # Allow return in try block
    61→    "TRY301",    # Allow raising in conditionals
    62→    "TRY400",    # Allow logging.error instead of logging.exception
    63→    "TRY002",    # Allow raising Exception instead of custom exceptions
    64→]
    65→
    66→[tool.ty]
    67→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Thinking

Good! I've reviewed the critical files and the plan looks accurate. Now I'm in Phase 4: I need to write my final plan to the plan file. Let me create a concise but detailed plan that captures:

  1. The overall approach (migrate from structlog to stdlib logging + rich)
  2. The key implementation details
  3. The files that need to be modified
  4. The step-by-step process

The plan should be concise enough to scan quickly but detailed enough to execute effectively.

Perfect! The plan aligns well with the codebase. Let me now write the final implementation plan to the plan file.

📝 Write golden-stargazing-bentley.md
/home/ubuntu/.claude/plans/golden-stargazing-bentley.md
# Migration Plan: structlog → Standard Library Logging + Rich

## Overview

Migrate from structlog to Python's standard library logging with rich enhancements. This removes the structlog dependency while preserving all structured logging capabilities and improving visual output.

## Implementation Strategy

### 1. Core Logging Module (`src/concierge/core/logging.py`)

**Current Approach:**
- Uses structlog with processor chains
- Custom `get_logger()` function returns `structlog.BoundLogger`
- Context data passed via `.bind()` and as kwargs

**New Approach:**
- Use `logging.LoggerAdapter` to preserve kwargs-based API
- Use `rich.logging.RichHandler` for colored output and formatting
- Format context data as `[key=value ...]` suffix with rich markup

**Key Components:**

1. **StructuredLoggerAdapter class**: Wraps stdlib logger to accept context kwargs
   - Extracts context data from kwargs (everything except stdlib logging kwargs)
   - Formats as dimmed bracket notation: `[dim][[/dim]key=value[dim]][/dim]`
   - Preserves stdlib kwargs (exc_info, stack_info, etc.)

2. **setup_logging() function**: Configures RichHandler
   - Maps verbosity flags: trace→DEBUG, verbose→INFO, default→WARNING
   - Enables rich tracebacks, timestamps, module paths
   - Shows local vars in trace mode

3. **get_logger() function**: Returns StructuredLoggerAdapter
   - Takes logger name (typically `__name__`)
   - Returns adapter with structured logging support

### 2. Update All Usage Files (16 files)

**Pattern for all files:**

```python
# Before:
import structlog
logger = structlog.get_logger()

# After:
from concierge.core.logging import get_logger
logger = get_logger(__name__)
```

**Files to update:**
1. `src/concierge/core/manager.py`
2. `src/concierge/core/plan.py`
3. `src/concierge/system/runner.py`
4. `src/concierge/system/snap.py`
5. `src/concierge/packages/snap_handler.py`
6. `src/concierge/packages/deb_handler.py`
7. `src/concierge/providers/lxd.py`
8. `src/concierge/providers/microk8s.py`
9. `src/concierge/providers/k8s.py`
10. `src/concierge/providers/google.py`
11. `src/concierge/juju/handler.py`
12. `src/concierge/cli/commands/prepare.py`
13. `src/concierge/cli/commands/restore.py`
14. `src/concierge/cli/commands/status.py`
15. `src/concierge/config/loader.py`

**Note:** `src/concierge/cli/app.py` only imports `setup_logging`, no logger changes needed.

### 3. Update Dependencies (`pyproject.toml`)

**Change:** Remove `structlog>=24.1.0` from dependencies list

### 4. Implementation Details

**StructuredLoggerAdapter Implementation:**

```python
class StructuredLoggerAdapter(logging.LoggerAdapter):
    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:
        # Stdlib logging kwargs to preserve
        stdlib_kwargs = {'exc_info', 'stack_info', 'stacklevel', 'extra'}

        # Extract context data
        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}
        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}

        # Format context as dimmed brackets
        if context:
            context_items = [f"{k}={v}" for k, v in sorted(context.items())]
            context_str = " ".join(context_items)
            msg = f"{msg} [dim][[/dim]{context_str}[dim]][/dim]"

        return msg, clean_kwargs
```

**RichHandler Configuration:**

```python
handler = RichHandler(
    console=Console(stderr=True, force_terminal=True),
    show_time=True,              # Timestamps
    show_path=True,              # Module and line numbers
    markup=True,                 # Enable rich markup
    rich_tracebacks=True,        # Enhanced exceptions
    tracebacks_show_locals=trace, # Show locals in trace mode
    log_time_format="[%Y-%m-%d %H:%M:%S]",
)
```

## Execution Steps

### Step 1: Rewrite Core Logging Module
- [ ] Replace structlog imports with logging + rich
- [ ] Implement StructuredLoggerAdapter class
- [ ] Update setup_logging() with RichHandler configuration
- [ ] Update get_logger() to return adapter
- [ ] Update type hints and docstrings

### Step 2: Update All Import Statements
- [ ] Update 15 source files with new import pattern
- [ ] Verify no structlog imports remain

### Step 3: Update Dependencies
- [ ] Remove structlog from pyproject.toml
- [ ] Run `pip install -e .`

### Step 4: Test
- [ ] Test default log level (WARNING)
- [ ] Test verbose mode (`-v`)
- [ ] Test trace mode (`--trace`)
- [ ] Test exception logging with rich tracebacks
- [ ] Verify colored output and context data formatting

### Step 5: Code Quality
- [ ] Run type checker: `ty check`
- [ ] Run linter: `ruff check .`
- [ ] Run formatter: `ruff format .`

## Expected Output Changes

**Before (structlog):**
```
2025-12-13 10:15:23 [info     ] Bootstrapping Juju            provider=lxd
```

**After (stdlib + rich):**
```
10:15:23 concierge.juju.handler INFO     Bootstrapping Juju [provider=lxd]
```

**Benefits:**
- Module paths aid debugging
- Clearer log level display
- Better exception rendering
- Structured context clearly separated in brackets

## Critical Files

- `/home/ubuntu/concierge-py/src/concierge/core/logging.py` - Complete rewrite
- `/home/ubuntu/concierge-py/src/concierge/juju/handler.py` - Example usage with complex logging
- `/home/ubuntu/concierge-py/pyproject.toml` - Dependency removal

## Risks and Mitigations

**Low Risk:**
- Rich already a dependency (via typer)
- Stdlib logging is battle-tested
- Changes are mechanical and isolated
- Easy rollback (revert 17 files)

**Visual Changes:**
- Output format will change (timestamps, module names)
- Context data formatting changes to `[key=value]`
- Mitigation: Improved readability with rich formatting
File created successfully at: /home/ubuntu/.claude/plans/golden-stargazing-bentley.md
Thinking

Perfect! I've written the final plan to the plan file. Now I'm in Phase 5 - I should call ExitPlanMode to present the plan to the user for approval.

Perfect! I've completed the planning phase. The migration plan is ready for your review.

ExitPlanMode
{
  "plan": "# Migration Plan: structlog → Standard Library Logging + Rich\n\n## Overview\n\nMigrate from structlog to Python's standard library logging with rich enhancements. This removes the structlog dependency while preserving all structured logging capabilities and improving visual output.\n\n## Implementation Strategy\n\n### 1. Core Logging Module (`src/concierge/core/logging.py`)\n\n**Current Approach:**\n- Uses structlog with processor chains\n- Custom `get_logger()` function returns `structlog.BoundLogger`\n- Context data passed via `.bind()` and as kwargs\n\n**New Approach:**\n- Use `logging.LoggerAdapter` to preserve kwargs-based API\n- Use `rich.logging.RichHandler` for colored output and formatting\n- Format context data as `[key=value ...]` suffix with rich markup\n\n**Key Components:**\n\n1. **StructuredLoggerAdapter class**: Wraps stdlib logger to accept context kwargs\n   - Extracts context data from kwargs (everything except stdlib logging kwargs)\n   - Formats as dimmed bracket notation: `[dim][[/dim]key=value[dim]][/dim]`\n   - Preserves stdlib kwargs (exc_info, stack_info, etc.)\n\n2. **setup_logging() function**: Configures RichHandler\n   - Maps verbosity flags: trace→DEBUG, verbose→INFO, default→WARNING\n   - Enables rich tracebacks, timestamps, module paths\n   - Shows local vars in trace mode\n\n3. **get_logger() function**: Returns StructuredLoggerAdapter\n   - Takes logger name (typically `__name__`)\n   - Returns adapter with structured logging support\n\n### 2. Update All Usage Files (16 files)\n\n**Pattern for all files:**\n\n```python\n# Before:\nimport structlog\nlogger = structlog.get_logger()\n\n# After:\nfrom concierge.core.logging import get_logger\nlogger = get_logger(__name__)\n```\n\n**Files to update:**\n1. `src/concierge/core/manager.py`\n2. `src/concierge/core/plan.py`\n3. `src/concierge/system/runner.py`\n4. `src/concierge/system/snap.py`\n5. `src/concierge/packages/snap_handler.py`\n6. `src/concierge/packages/deb_handler.py`\n7. `src/concierge/providers/lxd.py`\n8. `src/concierge/providers/microk8s.py`\n9. `src/concierge/providers/k8s.py`\n10. `src/concierge/providers/google.py`\n11. `src/concierge/juju/handler.py`\n12. `src/concierge/cli/commands/prepare.py`\n13. `src/concierge/cli/commands/restore.py`\n14. `src/concierge/cli/commands/status.py`\n15. `src/concierge/config/loader.py`\n\n**Note:** `src/concierge/cli/app.py` only imports `setup_logging`, no logger changes needed.\n\n### 3. Update Dependencies (`pyproject.toml`)\n\n**Change:** Remove `structlog>=24.1.0` from dependencies list\n\n### 4. Implementation Details\n\n**StructuredLoggerAdapter Implementation:**\n\n```python\nclass StructuredLoggerAdapter(logging.LoggerAdapter):\n    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:\n        # Stdlib logging kwargs to preserve\n        stdlib_kwargs = {'exc_info', 'stack_info', 'stacklevel', 'extra'}\n\n        # Extract context data\n        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}\n        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}\n\n        # Format context as dimmed brackets\n        if context:\n            context_items = [f\"{k}={v}\" for k, v in sorted(context.items())]\n            context_str = \" \".join(context_items)\n            msg = f\"{msg} [dim][[/dim]{context_str}[dim]][/dim]\"\n\n        return msg, clean_kwargs\n```\n\n**RichHandler Configuration:**\n\n```python\nhandler = RichHandler(\n    console=Console(stderr=True, force_terminal=True),\n    show_time=True,              # Timestamps\n    show_path=True,              # Module and line numbers\n    markup=True,                 # Enable rich markup\n    rich_tracebacks=True,        # Enhanced exceptions\n    tracebacks_show_locals=trace, # Show locals in trace mode\n    log_time_format=\"[%Y-%m-%d %H:%M:%S]\",\n)\n```\n\n## Execution Steps\n\n### Step 1: Rewrite Core Logging Module\n- [ ] Replace structlog imports with logging + rich\n- [ ] Implement StructuredLoggerAdapter class\n- [ ] Update setup_logging() with RichHandler configuration\n- [ ] Update get_logger() to return adapter\n- [ ] Update type hints and docstrings\n\n### Step 2: Update All Import Statements\n- [ ] Update 15 source files with new import pattern\n- [ ] Verify no structlog imports remain\n\n### Step 3: Update Dependencies\n- [ ] Remove structlog from pyproject.toml\n- [ ] Run `pip install -e .`\n\n### Step 4: Test\n- [ ] Test default log level (WARNING)\n- [ ] Test verbose mode (`-v`)\n- [ ] Test trace mode (`--trace`)\n- [ ] Test exception logging with rich tracebacks\n- [ ] Verify colored output and context data formatting\n\n### Step 5: Code Quality\n- [ ] Run type checker: `ty check`\n- [ ] Run linter: `ruff check .`\n- [ ] Run formatter: `ruff format .`\n\n## Expected Output Changes\n\n**Before (structlog):**\n```\n2025-12-13 10:15:23 [info     ] Bootstrapping Juju            provider=lxd\n```\n\n**After (stdlib + rich):**\n```\n10:15:23 concierge.juju.handler INFO     Bootstrapping Juju [provider=lxd]\n```\n\n**Benefits:**\n- Module paths aid debugging\n- Clearer log level display\n- Better exception rendering\n- Structured context clearly separated in brackets\n\n## Critical Files\n\n- `/home/ubuntu/concierge-py/src/concierge/core/logging.py` - Complete rewrite\n- `/home/ubuntu/concierge-py/src/concierge/juju/handler.py` - Example usage with complex logging\n- `/home/ubuntu/concierge-py/pyproject.toml` - Dependency removal\n\n## Risks and Mitigations\n\n**Low Risk:**\n- Rich already a dependency (via typer)\n- Stdlib logging is battle-tested\n- Changes are mechanical and isolated\n- Easy rollback (revert 17 files)\n\n**Visual Changes:**\n- Output format will change (timestamps, module names)\n- Context data formatting changes to `[key=value]`\n- Mitigation: Improved readability with rich formatting\n"
}
User has approved your plan. You can now start coding. Start with updating your todo list if applicable

Your plan has been saved to: /home/ubuntu/.claude/plans/golden-stargazing-bentley.md
You can refer back to it if needed during implementation.

## Approved Plan:
# Migration Plan: structlog → Standard Library Logging + Rich

## Overview

Migrate from structlog to Python's standard library logging with rich enhancements. This removes the structlog dependency while preserving all structured logging capabilities and improving visual output.

## Implementation Strategy

### 1. Core Logging Module (`src/concierge/core/logging.py`)

**Current Approach:**
- Uses structlog with processor chains
- Custom `get_logger()` function returns `structlog.BoundLogger`
- Context data passed via `.bind()` and as kwargs

**New Approach:**
- Use `logging.LoggerAdapter` to preserve kwargs-based API
- Use `rich.logging.RichHandler` for colored output and formatting
- Format context data as `[key=value ...]` suffix with rich markup

**Key Components:**

1. **StructuredLoggerAdapter class**: Wraps stdlib logger to accept context kwargs
   - Extracts context data from kwargs (everything except stdlib logging kwargs)
   - Formats as dimmed bracket notation: `[dim][[/dim]key=value[dim]][/dim]`
   - Preserves stdlib kwargs (exc_info, stack_info, etc.)

2. **setup_logging() function**: Configures RichHandler
   - Maps verbosity flags: trace→DEBUG, verbose→INFO, default→WARNING
   - Enables rich tracebacks, timestamps, module paths
   - Shows local vars in trace mode

3. **get_logger() function**: Returns StructuredLoggerAdapter
   - Takes logger name (typically `__name__`)
   - Returns adapter with structured logging support

### 2. Update All Usage Files (16 files)

**Pattern for all files:**

```python
# Before:
import structlog
logger = structlog.get_logger()

# After:
from concierge.core.logging import get_logger
logger = get_logger(__name__)
```

**Files to update:**
1. `src/concierge/core/manager.py`
2. `src/concierge/core/plan.py`
3. `src/concierge/system/runner.py`
4. `src/concierge/system/snap.py`
5. `src/concierge/packages/snap_handler.py`
6. `src/concierge/packages/deb_handler.py`
7. `src/concierge/providers/lxd.py`
8. `src/concierge/providers/microk8s.py`
9. `src/concierge/providers/k8s.py`
10. `src/concierge/providers/google.py`
11. `src/concierge/juju/handler.py`
12. `src/concierge/cli/commands/prepare.py`
13. `src/concierge/cli/commands/restore.py`
14. `src/concierge/cli/commands/status.py`
15. `src/concierge/config/loader.py`

**Note:** `src/concierge/cli/app.py` only imports `setup_logging`, no logger changes needed.

### 3. Update Dependencies (`pyproject.toml`)

**Change:** Remove `structlog>=24.1.0` from dependencies list

### 4. Implementation Details

**StructuredLoggerAdapter Implementation:**

```python
class StructuredLoggerAdapter(logging.LoggerAdapter):
    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:
        # Stdlib logging kwargs to preserve
        stdlib_kwargs = {'exc_info', 'stack_info', 'stacklevel', 'extra'}

        # Extract context data
        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}
        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}

        # Format context as dimmed brackets
        if context:
            context_items = [f"{k}={v}" for k, v in sorted(context.items())]
            context_str = " ".join(context_items)
            msg = f"{msg} [dim][[/dim]{context_str}[dim]][/dim]"

        return msg, clean_kwargs
```

**RichHandler Configuration:**

```python
handler = RichHandler(
    console=Console(stderr=True, force_terminal=True),
    show_time=True,              # Timestamps
    show_path=True,              # Module and line numbers
    markup=True,                 # Enable rich markup
    rich_tracebacks=True,        # Enhanced exceptions
    tracebacks_show_locals=trace, # Show locals in trace mode
    log_time_format="[%Y-%m-%d %H:%M:%S]",
)
```

## Execution Steps

### Step 1: Rewrite Core Logging Module
- [ ] Replace structlog imports with logging + rich
- [ ] Implement StructuredLoggerAdapter class
- [ ] Update setup_logging() with RichHandler configuration
- [ ] Update get_logger() to return adapter
- [ ] Update type hints and docstrings

### Step 2: Update All Import Statements
- [ ] Update 15 source files with new import pattern
- [ ] Verify no structlog imports remain

### Step 3: Update Dependencies
- [ ] Remove structlog from pyproject.toml
- [ ] Run `pip install -e .`

### Step 4: Test
- [ ] Test default log level (WARNING)
- [ ] Test verbose mode (`-v`)
- [ ] Test trace mode (`--trace`)
- [ ] Test exception logging with rich tracebacks
- [ ] Verify colored output and context data formatting

### Step 5: Code Quality
- [ ] Run type checker: `ty check`
- [ ] Run linter: `ruff check .`
- [ ] Run formatter: `ruff format .`

## Expected Output Changes

**Before (structlog):**
```
2025-12-13 10:15:23 [info     ] Bootstrapping Juju            provider=lxd
```

**After (stdlib + rich):**
```
10:15:23 concierge.juju.handler INFO     Bootstrapping Juju [provider=lxd]
```

**Benefits:**
- Module paths aid debugging
- Clearer log level display
- Better exception rendering
- Structured context clearly separated in brackets

## Critical Files

- `/home/ubuntu/concierge-py/src/concierge/core/logging.py` - Complete rewrite
- `/home/ubuntu/concierge-py/src/concierge/juju/handler.py` - Example usage with complex logging
- `/home/ubuntu/concierge-py/pyproject.toml` - Dependency removal

## Risks and Mitigations

**Low Risk:**
- Rich already a dependency (via typer)
- Stdlib logging is battle-tested
- Changes are mechanical and isolated
- Easy rollback (revert 17 files)

**Visual Changes:**
- Output format will change (timestamps, module names)
- Context data formatting changes to `[key=value]`
- Mitigation: Improved readability with rich formatting
Thinking

Great! The plan has been approved. Now I need to implement it. Let me start by creating a todo list to track the implementation steps based on the plan:

  1. Rewrite core logging module (logging.py)
  2. Update all 15 source files with new imports
  3. Update dependencies (pyproject.toml)
  4. Test the changes
  5. Run code quality checks

Let me start with the TodoWrite tool to track progress.

Excellent! The plan is approved. Let me start the implementation by creating a todo list to track progress.

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Thinking

Good, I've created the todo list. Now let me start with the first task: Rewrite core logging module. I'll update the status to in_progress and then rewrite the logging.py file.

Now let me start with the first task - rewriting the core logging module.

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
📝 Write logging.py
/home/ubuntu/concierge-py/src/concierge/core/logging.py
"""Logging configuration for Concierge using stdlib logging with rich."""

import logging
from typing import Any

from rich.console import Console
from rich.logging import RichHandler


class StructuredLoggerAdapter(logging.LoggerAdapter):
    """Logger adapter that formats kwargs as structured context data.

    This adapter preserves the structlog-like API where context data
    can be passed as kwargs to logging methods, making the migration
    from structlog to stdlib logging seamless.

    Example:
        logger = get_logger(__name__)
        logger.info("Bootstrap complete", provider="lxd", duration=42.5)
        # Output: Bootstrap complete [provider=lxd duration=42.5]
    """

    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:
        """Process log message and kwargs to extract context data.

        Args:
            msg: Log message
            kwargs: Keyword arguments including context data

        Returns:
            Tuple of (formatted_message, cleaned_kwargs)
        """
        # Standard library logging kwargs that should not be treated as context
        stdlib_kwargs = {"exc_info", "stack_info", "stacklevel", "extra"}

        # Extract context data (anything not a stdlib logging kwarg)
        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}
        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}

        # Format context data as a visually distinct suffix
        if context:
            context_items = [f"{k}={v}" for k, v in sorted(context.items())]
            context_str = " ".join(context_items)
            msg = f"{msg} [dim][[/dim]{context_str}[dim]][/dim]"

        return msg, clean_kwargs


def setup_logging(verbose: bool = False, trace: bool = False) -> None:
    """Configure structured logging with rich integration.

    This function sets up the logging system with rich's RichHandler for
    colored output, timestamps, and enhanced exception formatting.

    Args:
        verbose: Enable verbose (INFO) logging
        trace: Enable trace (DEBUG) logging with local variables in tracebacks
    """
    # Determine log level based on flags
    if trace:
        log_level = logging.DEBUG
    elif verbose:
        log_level = logging.INFO
    else:
        log_level = logging.WARNING

    # Configure rich console for stderr output
    console = Console(stderr=True, force_terminal=True)

    # Create rich handler with desired formatting
    handler = RichHandler(
        console=console,
        show_time=True,  # Show timestamps
        show_path=True,  # Show module and line number
        markup=True,  # Enable rich markup in messages
        rich_tracebacks=True,  # Enhanced exception rendering
        tracebacks_show_locals=trace,  # Show local vars only in trace mode
        log_time_format="[%Y-%m-%d %H:%M:%S]",
    )

    # Configure root logger
    logging.basicConfig(
        level=log_level,
        format="%(message)s",
        handlers=[handler],
        force=True,
    )


def get_logger(name: str = "") -> StructuredLoggerAdapter:
    """Get a structured logger instance.

    This function returns a logger adapter that supports passing context
    data as keyword arguments, maintaining API compatibility with structlog.

    Args:
        name: Logger name (typically __name__ of the module)

    Returns:
        Configured logger adapter with structured logging support

    Example:
        logger = get_logger(__name__)
        logger.info("Processing item", item_id=123, status="active")
    """
    if name:
        logger = logging.getLogger(name)
    else:
        # Use the calling module's name if not specified
        logger = logging.getLogger(__name__)

    return StructuredLoggerAdapter(logger, {})
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
The file /home/ubuntu/concierge-py/src/concierge/core/logging.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Logging configuration for Concierge using stdlib logging with rich."""
     2→
     3→import logging
     4→from typing import Any
     5→
     6→from rich.console import Console
     7→from rich.logging import RichHandler
     8→
     9→
    10→class StructuredLoggerAdapter(logging.LoggerAdapter):
    11→    """Logger adapter that formats kwargs as structured context data.
    12→
    13→    This adapter preserves the structlog-like API where context data
    14→    can be passed as kwargs to logging methods, making the migration
    15→    from structlog to stdlib logging seamless.
    16→
    17→    Example:
    18→        logger = get_logger(__name__)
    19→        logger.info("Bootstrap complete", provider="lxd", duration=42.5)
    20→        # Output: Bootstrap complete [provider=lxd duration=42.5]
    21→    """
    22→
    23→    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:
    24→        """Process log message and kwargs to extract context data.
    25→
    26→        Args:
    27→            msg: Log message
    28→            kwargs: Keyword arguments including context data
    29→
    30→        Returns:
    31→            Tuple of (formatted_message, cleaned_kwargs)
    32→        """
    33→        # Standard library logging kwargs that should not be treated as context
    34→        stdlib_kwargs = {"exc_info", "stack_info", "stacklevel", "extra"}
    35→
    36→        # Extract context data (anything not a stdlib logging kwarg)
    37→        context = {k: v for k, v in kwargs.items() if k not in stdlib_kwargs}
    38→        clean_kwargs = {k: v for k, v in kwargs.items() if k in stdlib_kwargs}
    39→
    40→        # Format context data as a visually distinct suffix
    41→        if context:
    42→            context_items = [f"{k}={v}" for k, v in sorted(context.items())]
    43→            context_str = " ".join(context_items)
    44→            msg = f"{msg} [dim][[/dim]{context_str}[dim]][/dim]"
    45→
    46→        return msg, clean_kwargs
    47→
    48→
    49→def setup_logging(verbose: bool = False, trace: bool = False) -> None:
    50→    """Configure structured logging with rich integration.
    51→
    52→    This function sets up the logging system with rich's RichHandler for
    53→    colored output, timestamps, and enhanced exception formatting.
    54→
    55→    Args:
    56→        verbose: Enable verbose (INFO) logging
    57→        trace: Enable trace (DEBUG) logging with local variables in tracebacks
    58→    """
    59→    # Determine log level based on flags
    60→    if trace:
    61→        log_level = logging.DEBUG
    62→    elif verbose:
    63→        log_level = logging.INFO
    64→    else:
    65→        log_level = logging.WARNING
    66→
    67→    # Configure rich console for stderr output
    68→    console = Console(stderr=True, force_terminal=True)
    69→
    70→    # Create rich handler with desired formatting
    71→    handler = RichHandler(
    72→        console=console,
    73→        show_time=True,  # Show timestamps
    74→        show_path=True,  # Show module and line number
    75→        markup=True,  # Enable rich markup in messages
    76→        rich_tracebacks=True,  # Enhanced exception rendering
    77→        tracebacks_show_locals=trace,  # Show local vars only in trace mode
    78→        log_time_format="[%Y-%m-%d %H:%M:%S]",
    79→    )
    80→
    81→    # Configure root logger
    82→    logging.basicConfig(
    83→        level=log_level,
    84→        format="%(message)s",
    85→        handlers=[handler],
    86→        force=True,
    87→    )
    88→
    89→
    90→def get_logger(name: str = "") -> StructuredLoggerAdapter:
    91→    """Get a structured logger instance.
    92→
    93→    This function returns a logger adapter that supports passing context
    94→    data as keyword arguments, maintaining API compatibility with structlog.
    95→
    96→    Args:
    97→        name: Logger name (typically __name__ of the module)
    98→
    99→    Returns:
   100→        Configured logger adapter with structured logging support
   101→
   102→    Example:
   103→        logger = get_logger(__name__)
   104→        logger.info("Processing item", item_id=123, status="active")
   105→    """
   106→    if name:
   107→        logger = logging.getLogger(name)
   108→    else:
   109→        # Use the calling module's name if not specified
   110→        logger = logging.getLogger(__name__)
   111→
   112→    return StructuredLoggerAdapter(logger, {})
   113→
Thinking

Good! I've completed the first task - rewriting the core logging module. Now let me mark it as completed and move on to the second task: updating all 15 source files with the new import pattern.

I need to update these files: 1. src/concierge/core/manager.py 2. src/concierge/core/plan.py 3. src/concierge/system/runner.py 4. src/concierge/system/snap.py 5. src/concierge/packages/snap_handler.py 6. src/concierge/packages/deb_handler.py 7. src/concierge/providers/lxd.py 8. src/concierge/providers/microk8s.py 9. src/concierge/providers/k8s.py 10. src/concierge/providers/google.py 11. src/concierge/juju/handler.py 12. src/concierge/cli/commands/prepare.py 13. src/concierge/cli/commands/restore.py 14. src/concierge/cli/commands/status.py 15. src/concierge/config/loader.py

I'll need to read each file first to see the exact pattern, then update them. Let me batch read a few files first to see the patterns, then I can update them efficiently.

Perfect! Core logging module rewritten. Now let me mark it as completed and move to updating the source files.

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/core/manager.py"
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/core/plan.py"
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/system/runner.py"
}
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
     1→"""Manager for orchestrating Concierge operations."""
     2→
     3→from pathlib import Path
     4→
     5→import structlog
     6→import yaml
     7→
     8→from concierge.config.models import ConciergeConfig, Status
     9→from concierge.core.plan import Plan
    10→from concierge.system.runner import System
    11→
    12→logger = structlog.get_logger()
    13→
    14→
    15→class Manager:
    16→    """Manager coordinates the overall execution of Concierge.
    17→
    18→    The Manager handles loading configuration, creating execution plans,
    19→    and managing the prepare/restore lifecycle.
    20→    """
    21→
    22→    def __init__(self, config: ConciergeConfig, trace: bool = False) -> None:
    23→        """Initialize the Manager.
    24→
    25→        Args:
    26→            config: Concierge configuration
    27→            trace: Enable trace logging
    28→        """
    29→        self.config = config
    30→        self.system = System(trace=trace)
    31→        self.plan: Plan | None = None
    32→
    33→    async def prepare(self) -> None:
    34→        """Prepare the system according to configuration.
    35→
    36→        Raises:
    37→            Exception: If preparation fails
    38→        """
    39→        try:
    40→            await self._execute("prepare")
    41→            await self._record_runtime_config(Status.SUCCEEDED)
    42→        except Exception:
    43→            await self._record_runtime_config(Status.FAILED)
    44→            raise
    45→
    46→    async def restore(self) -> None:
    47→        """Restore the system to its pre-Concierge state.
    48→
    49→        Raises:
    50→            Exception: If restoration fails
    51→        """
    52→        await self._load_runtime_config()
    53→        await self._execute("restore")
    54→
    55→    async def status(self) -> Status:
    56→        """Get the current Concierge status.
    57→
    58→        Returns:
    59→            Current status
    60→
    61→        Raises:
    62→            FileNotFoundError: If no previous preparation found
    63→        """
    64→        record_path = Path(".cache/concierge/concierge.yaml")
    65→
    66→        try:
    67→            contents = await self.system.read_home_file(record_path)
    68→            data = yaml.safe_load(contents)
    69→            return Status(data.get("status", "provisioning"))
    70→        except FileNotFoundError:
    71→            raise FileNotFoundError(
    72→                "Concierge has not prepared this machine and cannot report its status"
    73→            ) from None
    74→
    75→    async def _execute(self, action: str) -> None:
    76→        """Execute a prepare or restore action.
    77→
    78→        Args:
    79→            action: Action to execute ("prepare" or "restore")
    80→
    81→        Raises:
    82→            ValueError: If action is unknown
    83→            Exception: If execution fails
    84→        """
    85→        if action == "prepare":
    86→            await self._record_runtime_config(Status.PROVISIONING)
    87→        elif action == "restore":
    88→            await self._load_runtime_config()
    89→        else:
    90→            raise ValueError(f"Unknown action: {action}")
    91→
    92→        # Create and execute the plan
    93→        self.plan = Plan(self.config, self.system)
    94→        await self.plan.execute(action)
    95→
    96→    async def _record_runtime_config(self, status: Status) -> None:
    97→        """Record the runtime configuration to cache.
    98→
    99→        Args:
   100→            status: Current status to record
   101→
   102→        Raises:
   103→            Exception: If recording fails
   104→        """
   105→        self.config.status = status
   106→
   107→        # Serialize config to YAML
   108→        config_dict = self.config.model_dump(by_alias=True)
   109→        config_yaml = yaml.safe_dump(config_dict, default_flow_style=False)
   110→
   111→        # Write to cache
   112→        filepath = Path(".cache/concierge/concierge.yaml")
   113→        await self.system.write_home_file(filepath, config_yaml.encode("utf-8"))
   114→
   115→        logger.debug("Merged runtime configuration saved", path=str(filepath))
   116→
   117→    async def _load_runtime_config(self) -> None:
   118→        """Load the runtime configuration from cache.
   119→
   120→        Raises:
   121→            FileNotFoundError: If no cached config exists
   122→            Exception: If loading fails
   123→        """
   124→        record_path = Path(".cache/concierge/concierge.yaml")
   125→
   126→        contents = await self.system.read_home_file(record_path)
   127→        data = yaml.safe_load(contents)
   128→
   129→        self.config = ConciergeConfig.model_validate(data)
   130→
   131→        logger.debug("Loaded previous runtime configuration", path=str(record_path))
   132→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Plan for executing Concierge operations."""
     2→
     3→import asyncio
     4→
     5→import structlog
     6→
     7→from concierge.config.models import ConciergeConfig
     8→from concierge.core.executable import Executable
     9→from concierge.juju.handler import JujuHandler
    10→from concierge.packages.deb_handler import DebHandler
    11→from concierge.packages.snap_handler import SnapHandler
    12→from concierge.providers.base import Provider
    13→from concierge.providers.factory import SUPPORTED_PROVIDERS, create_provider
    14→from concierge.system.models import Snap
    15→from concierge.system.worker import Worker
    16→
    17→logger = structlog.get_logger()
    18→
    19→
    20→async def do_action(executable: Executable, action: str) -> None:
    21→    """Execute prepare or restore on an Executable.
    22→
    23→    Args:
    24→        executable: Component to execute action on
    25→        action: Action to execute ("prepare" or "restore")
    26→
    27→    Raises:
    28→        ValueError: If action is unknown
    29→        Exception: If execution fails
    30→    """
    31→    if action == "prepare":
    32→        await executable.prepare()
    33→    elif action == "restore":
    34→        await executable.restore()
    35→    else:
    36→        raise ValueError(f"Unknown action: {action}")
    37→
    38→
    39→def _get_snap_channel_override(config: ConciergeConfig, snap_name: str) -> str:
    40→    """Get channel override for a snap if present.
    41→
    42→    Args:
    43→        config: Concierge configuration
    44→        snap_name: Name of the snap
    45→
    46→    Returns:
    47→        Override channel or empty string
    48→    """
    49→    overrides = {
    50→        "charmcraft": config.overrides.charmcraft_channel,
    51→        "snapcraft": config.overrides.snapcraft_channel,
    52→        "rockcraft": config.overrides.rockcraft_channel,
    53→    }
    54→    return overrides.get(snap_name, "")
    55→
    56→
    57→class Plan:
    58→    """Plan represents the set of operations to execute.
    59→
    60→    A Plan consists of snaps, debs, providers, and Juju configuration
    61→    that need to be prepared or restored.
    62→    """
    63→
    64→    def __init__(self, config: ConciergeConfig, system: Worker) -> None:
    65→        """Initialize the Plan.
    66→
    67→        Args:
    68→            config: Concierge configuration
    69→            system: System worker
    70→        """
    71→        self.config = config
    72→        self.system = system
    73→        self.snaps: list[Snap] = []
    74→        self.debs: list[str] = []
    75→        self.providers: list[Provider] = []
    76→
    77→        # Build list of snaps from config
    78→        for snap_name, snap_config in config.host.snaps.items():
    79→            channel = snap_config.channel
    80→            # Check for channel override
    81→            channel_override = _get_snap_channel_override(config, snap_name)
    82→            if channel_override:
    83→                channel = channel_override
    84→
    85→            snap = Snap(
    86→                name=snap_name,
    87→                channel=channel,
    88→                connections=snap_config.connections,
    89→            )
    90→            self.snaps.append(snap)
    91→
    92→        # Add extra snaps from overrides
    93→        for snap_str in config.overrides.extra_snaps:
    94→            snap = Snap.from_string(snap_str)
    95→            # Check for channel override
    96→            channel_override = _get_snap_channel_override(config, snap.name)
    97→            if channel_override:
    98→                snap.channel = channel_override
    99→            self.snaps.append(snap)
   100→
   101→        # Build list of debs
   102→        self.debs = config.host.packages + config.overrides.extra_debs
   103→
   104→        # Build list of providers
   105→        for provider_name in SUPPORTED_PROVIDERS:
   106→            provider = create_provider(provider_name, system, config)
   107→            if provider:
   108→                self.providers.append(provider)
   109→
   110→                # Warn if provider wants bootstrap but Juju is disabled
   111→                if config.overrides.disable_juju and provider.bootstrap():
   112→                    logger.warning(
   113→                        "Provider will not be bootstrapped because Juju is disabled",
   114→                        provider=provider_name,
   115→                    )
   116→
   117→        # Apply Juju disable override
   118→        if config.overrides.disable_juju:
   119→            self.config.juju.disable = True
   120→
   121→    async def execute(self, action: str) -> None:
   122→        """Execute the plan (prepare or restore).
   123→
   124→        Args:
   125→            action: Action to execute ("prepare" or "restore")
   126→
   127→        Raises:
   128→            Exception: If execution fails
   129→        """
   130→        # Validate plan (could add validators here)
   131→        await self._validate()
   132→
   133→        # Prepare/restore packages concurrently
   134→        snap_handler = SnapHandler(self.system, self.snaps)
   135→        deb_handler = DebHandler(self.system, self.debs)
   136→
   137→        await asyncio.gather(
   138→            do_action(snap_handler, action),
   139→            do_action(deb_handler, action),
   140→        )
   141→
   142→        # Prepare/restore providers concurrently
   143→        provider_tasks = [do_action(provider, action) for provider in self.providers]
   144→        await asyncio.gather(*provider_tasks)
   145→
   146→        # Skip Juju if disabled
   147→        if self.config.juju.disable:
   148→            return
   149→
   150→        # Prepare/restore Juju
   151→        juju_handler = JujuHandler(self.system, self.config, self.providers)
   152→        await do_action(juju_handler, action)
   153→
   154→    async def _validate(self) -> None:
   155→        """Validate the plan.
   156→
   157→        Raises:
   158→            Exception: If validation fails
   159→        """
   160→        # Could add validation logic here
   161→        # For now, this is a placeholder
   162→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""System command runner implementation."""
     2→
     3→import asyncio
     4→import os
     5→import pwd
     6→import shutil
     7→from pathlib import Path
     8→
     9→import structlog
    10→from tenacity import (
    11→    AsyncRetrying,
    12→    RetryError,
    13→    stop_after_delay,
    14→    wait_exponential,
    15→)
    16→
    17→from concierge.system.command import Command, CommandError
    18→from concierge.system.models import SnapInfo
    19→from concierge.system.snap import SnapdClient
    20→
    21→logger = structlog.get_logger()
    22→
    23→
    24→def _get_shell_path() -> str:
    25→    """Get path to the shell to use for command execution.
    26→
    27→    Returns:
    28→        Path to shell executable
    29→
    30→    Raises:
    31→        RuntimeError: If no shell can be found
    32→    """
    33→    # Try SHELL environment variable first
    34→    shell = os.getenv("SHELL")
    35→    if shell:
    36→        return shell
    37→
    38→    # Try common shells
    39→    for candidate in ["bash", "/bin/bash", "sh", "/bin/sh"]:
    40→        if Path(candidate).exists():
    41→            return candidate
    42→        # Try finding in PATH
    43→        path = shutil.which(candidate)
    44→        if path:
    45→            return path
    46→
    47→    raise RuntimeError("Could not find path to a shell")
    48→
    49→
    50→def _get_real_user() -> tuple[str, str]:
    51→    """Get the real username and home directory.
    52→
    53→    When running with sudo, this returns the original user instead of root.
    54→
    55→    Returns:
    56→        Tuple of (username, home_directory)
    57→    """
    58→    # Check if running under sudo
    59→    sudo_user = os.getenv("SUDO_USER")
    60→    if sudo_user:
    61→        # Get home directory for sudo user
    62→        sudo_home = os.getenv("SUDO_HOME") or f"/home/{sudo_user}"
    63→        return sudo_user, sudo_home
    64→
    65→    # Not running under sudo, use current user
    66→    username = os.getenv("USER", "root")
    67→    home = os.getenv("HOME", f"/home/{username}")
    68→    return username, home
    69→
    70→
    71→class System:
    72→    """System implementation that executes commands on the local machine.
    73→
    74→    This class implements the Worker protocol and provides methods for
    75→    executing commands, managing files, and interacting with snapd.
    76→    """
    77→
    78→    def __init__(self, trace: bool = False) -> None:
    79→        """Initialize the System.
    80→
    81→        Args:
    82→            trace: Enable trace logging for all command output
    83→        """
    84→        self._trace = trace
    85→        self._shell = _get_shell_path()
    86→        self._username, self._home_dir = _get_real_user()
    87→        self._command_locks: dict[str, asyncio.Lock] = {}
    88→        self._snapd_client = SnapdClient()
    89→
    90→    def username(self) -> str:
    91→        """Get the real username.
    92→
    93→        Returns:
    94→            Username
    95→        """
    96→        return self._username
    97→
    98→    def home_dir(self) -> Path:
    99→        """Get the real user's home directory.
   100→
   101→        Returns:
   102→            Path to home directory
   103→        """
   104→        return Path(self._home_dir)
   105→
   106→    async def run(self, cmd: Command) -> bytes:
   107→        """Execute a command and return its output.
   108→
   109→        Args:
   110→            cmd: Command to execute
   111→
   112→        Returns:
   113→            Combined stdout/stderr output as bytes
   114→
   115→        Raises:
   116→            CommandError: If the command fails
   117→        """
   118→        command_string = cmd.command_string
   119→
   120→        log_ctx = {}
   121→        if cmd.user:
   122→            log_ctx["user"] = cmd.user
   123→        if cmd.group:
   124→            log_ctx["group"] = cmd.group
   125→
   126→        logger.debug("Starting command", command=command_string, **log_ctx)
   127→
   128→        # Create subprocess
   129→        process = await asyncio.create_subprocess_shell(
   130→            command_string,
   131→            stdout=asyncio.subprocess.PIPE,
   132→            stderr=asyncio.subprocess.STDOUT,
   133→            executable=self._shell,
   134→        )
   135→
   136→        # Wait for command to complete
   137→        stdout, _ = await process.communicate()
   138→
   139→        if process.returncode != 0:
   140→            output_str = stdout.decode("utf-8", errors="replace")
   141→            if self._trace:
   142→                self._print_trace(command_string, output_str)
   143→            # After communicate(), returncode should always be set
   144→            returncode = process.returncode if process.returncode is not None else 1
   145→            raise CommandError(command_string, returncode, output_str)
   146→
   147→        if self._trace:
   148→            output_str = stdout.decode("utf-8", errors="replace")
   149→            self._print_trace(command_string, output_str)
   150→
   151→        logger.debug("Finished command", command=command_string)
   152→
   153→        return stdout
   154→
   155→    async def run_exclusive(self, cmd: Command) -> bytes:
   156→        """Execute a command with exclusive locking.
   157→
   158→        Args:
   159→            cmd: Command to execute
   160→
   161→        Returns:
   162→            Combined stdout/stderr output as bytes
   163→
   164→        Raises:
   165→            CommandError: If the command fails
   166→        """
   167→        # Get or create lock for this executable
   168→        if cmd.executable not in self._command_locks:
   169→            self._command_locks[cmd.executable] = asyncio.Lock()
   170→
   171→        lock = self._command_locks[cmd.executable]
   172→
   173→        async with lock:
   174→            return await self.run(cmd)
   175→
   176→    async def run_with_retries(self, cmd: Command, max_duration_ms: int) -> bytes:
   177→        """Execute a command with exponential backoff retries.
   178→
   179→        Args:
   180→            cmd: Command to execute
   181→            max_duration_ms: Maximum duration for retries in milliseconds
   182→
   183→        Returns:
   184→            Combined stdout/stderr output as bytes
   185→
   186→        Raises:
   187→            CommandError: If all retries fail
   188→        """
   189→        max_duration_sec = max_duration_ms / 1000.0
   190→
   191→        try:
   192→            async for attempt in AsyncRetrying(
   193→                wait=wait_exponential(multiplier=1, min=1, max=60),
   194→                stop=stop_after_delay(max_duration_sec),
   195→                reraise=True,
   196→            ):
   197→                with attempt:
   198→                    return await self.run(cmd)
   199→        except RetryError as e:
   200→            # Re-raise the original exception
   201→            exc = e.last_attempt.exception()
   202→            if exc is not None:
   203→                raise exc from e
   204→            raise
   205→
   206→        # This should never be reached due to reraise=True
   207→        raise RuntimeError("Unexpected retry error")
   208→
   209→    async def write_home_file(self, filepath: Path, contents: bytes) -> None:
   210→        """Write a file to the user's home directory.
   211→
   212→        Args:
   213→            filepath: Relative path within home directory
   214→            contents: File contents to write
   215→
   216→        Raises:
   217→            ValueError: If filepath is absolute
   218→            OSError: If file cannot be written
   219→        """
   220→        if filepath.is_absolute():
   221→            raise ValueError("Only relative paths are supported")
   222→
   223→        # Ensure parent directory exists
   224→        await self.mk_home_subdir(filepath.parent)
   225→
   226→        # Write file
   227→        full_path = self.home_dir() / filepath
   228→        full_path.write_bytes(contents)
   229→
   230→        # Change ownership if running as sudo
   231→        await self._chown_recursive(full_path)
   232→
   233→        logger.debug("Wrote file", path=str(full_path))
   234→
   235→    async def mk_home_subdir(self, subdirectory: Path) -> None:
   236→        """Create a directory in the user's home directory.
   237→
   238→        Args:
   239→            subdirectory: Relative path within home directory
   240→
   241→        Raises:
   242→            ValueError: If path is absolute
   243→            OSError: If directory cannot be created
   244→        """
   245→        if subdirectory.is_absolute():
   246→            raise ValueError("Only relative paths are supported")
   247→
   248→        full_path = self.home_dir() / subdirectory
   249→        full_path.mkdir(parents=True, exist_ok=True)
   250→
   251→        # Change ownership of the top-level directory
   252→        if subdirectory.parts:
   253→            top_level = self.home_dir() / subdirectory.parts[0]
   254→            await self._chown_recursive(top_level)
   255→
   256→        logger.debug("Created directory", path=str(full_path))
   257→
   258→    async def remove_all_home(self, filepath: Path) -> None:
   259→        """Recursively remove a file or directory from the user's home.
   260→
   261→        Args:
   262→            filepath: Relative path within home directory
   263→
   264→        Raises:
   265→            OSError: If removal fails
   266→        """
   267→        full_path = self.home_dir() / filepath
   268→        if full_path.exists():
   269→            if full_path.is_dir():
   270→                shutil.rmtree(full_path)
   271→            else:
   272→                full_path.unlink()
   273→            logger.debug("Removed path", path=str(full_path))
   274→
   275→    async def read_home_file(self, filepath: Path) -> bytes:
   276→        """Read a file from the user's home directory.
   277→
   278→        Args:
   279→            filepath: Relative path within home directory
   280→
   281→        Returns:
   282→            File contents as bytes
   283→
   284→        Raises:
   285→            FileNotFoundError: If file doesn't exist
   286→        """
   287→        full_path = self.home_dir() / filepath
   288→        return await self.read_file(full_path)
   289→
   290→    async def read_file(self, filepath: Path) -> bytes:
   291→        """Read a file from anywhere on the filesystem.
   292→
   293→        Args:
   294→            filepath: Absolute path to file
   295→
   296→        Returns:
   297→            File contents as bytes
   298→
   299→        Raises:
   300→            FileNotFoundError: If file doesn't exist
   301→        """
   302→        if not filepath.exists():
   303→            raise FileNotFoundError(f"File '{filepath}' does not exist")
   304→
   305→        return filepath.read_bytes()
   306→
   307→    async def snap_info(self, snap: str, channel: str = "") -> SnapInfo:
   308→        """Get information about a snap from the snapd API.
   309→
   310→        Args:
   311→            snap: Name of the snap
   312→            channel: Optional channel to query
   313→
   314→        Returns:
   315→            Snap information
   316→
   317→        Raises:
   318→            Exception: If snapd API fails
   319→        """
   320→        return await self._snapd_client.snap_info(snap, channel)
   321→
   322→    async def snap_channels(self, snap: str) -> list[str]:
   323→        """Get list of available channels for a snap.
   324→
   325→        Args:
   326→            snap: Name of the snap
   327→
   328→        Returns:
   329→            List of channel names, sorted
   330→
   331→        Raises:
   332→            Exception: If snapd API fails
   333→        """
   334→        return await self._snapd_client.snap_channels(snap)
   335→
   336→    async def _chown_recursive(self, path: Path) -> None:
   337→        """Change ownership of a path recursively to the real user.
   338→
   339→        Args:
   340→            path: Path to change ownership of
   341→        """
   342→        # Only change ownership if running as sudo
   343→        sudo_user = os.getenv("SUDO_USER")
   344→        if not sudo_user:
   345→            return
   346→
   347→        # Get UID/GID for the real user
   348→        try:
   349→            user_info = pwd.getpwnam(sudo_user)
   350→            uid = user_info.pw_uid
   351→            gid = user_info.pw_gid
   352→        except KeyError:
   353→            logger.warning("Could not find user info", user=sudo_user)
   354→            return
   355→
   356→        # Recursively change ownership
   357→        for item in path.rglob("*"):
   358→            try:
   359→                os.chown(item, uid, gid)
   360→            except OSError as e:
   361→                logger.warning("Failed to change ownership", path=str(item), error=str(e))
   362→
   363→        # Also change the root path itself
   364→        try:
   365→            os.chown(path, uid, gid)
   366→        except OSError as e:
   367→            logger.warning("Failed to change ownership", path=str(path), error=str(e))
   368→
   369→        logger.debug("Changed ownership", path=str(path), user=sudo_user)
   370→
   371→    def _print_trace(self, command: str, output: str) -> None:
   372→        """Print trace output for a command.
   373→
   374→        Args:
   375→            command: The command that was executed
   376→            output: The command output
   377→        """
   378→        print(f"\n\033[1;32;4mCommand:\033[0m \033[1m{command}\033[0m")
   379→        if output:
   380→            print(f"\033[1;32mOutput:\033[0m\n{output}")
   381→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Thinking

Good, I can see the pattern. Each file has: 1. import structlog near the top 2. logger = structlog.get_logger() at the module level

I need to replace these with: 1. from concierge.core.logging import get_logger 2. logger = get_logger(__name__)

Let me update these three files, then continue with the rest. I'll batch them to be more efficient.

Now I'll update these files with the new import pattern. Let me start with these three files:

✏️ Edit manager.py
/home/ubuntu/concierge-py/src/concierge/core/manager.py
import structlog
import yaml

from concierge.config.models import ConciergeConfig, Status
from concierge.core.plan import Plan
from concierge.system.runner import System

logger = structlog.get_logger()
+
import yaml

from concierge.config.models import ConciergeConfig, Status
from concierge.core.logging import get_logger
from concierge.core.plan import Plan
from concierge.system.runner import System

logger = get_logger(__name__)
✏️ Edit plan.py
/home/ubuntu/concierge-py/src/concierge/core/plan.py
import asyncio

import structlog

from concierge.config.models import ConciergeConfig
from concierge.core.executable import Executable
from concierge.juju.handler import JujuHandler
from concierge.packages.deb_handler import DebHandler
from concierge.packages.snap_handler import SnapHandler
from concierge.providers.base import Provider
from concierge.providers.factory import SUPPORTED_PROVIDERS, create_provider
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
import asyncio

from concierge.config.models import ConciergeConfig
from concierge.core.executable import Executable
from concierge.core.logging import get_logger
from concierge.juju.handler import JujuHandler
from concierge.packages.deb_handler import DebHandler
from concierge.packages.snap_handler import SnapHandler
from concierge.providers.base import Provider
from concierge.providers.factory import SUPPORTED_PROVIDERS, create_provider
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = get_logger(__name__)
✏️ Edit runner.py
/home/ubuntu/concierge-py/src/concierge/system/runner.py
import asyncio
import os
import pwd
import shutil
from pathlib import Path

import structlog
from tenacity import (
    AsyncRetrying,
    RetryError,
    stop_after_delay,
    wait_exponential,
)

from concierge.system.command import Command, CommandError
from concierge.system.models import SnapInfo
from concierge.system.snap import SnapdClient

logger = structlog.get_logger()
+
import asyncio
import os
import pwd
import shutil
from pathlib import Path

from tenacity import (
    AsyncRetrying,
    RetryError,
    stop_after_delay,
    wait_exponential,
)

from concierge.core.logging import get_logger
from concierge.system.command import Command, CommandError
from concierge.system.models import SnapInfo
from concierge.system.snap import SnapdClient

logger = get_logger(__name__)
The file /home/ubuntu/concierge-py/src/concierge/core/manager.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Manager for orchestrating Concierge operations."""
     2→
     3→from pathlib import Path
     4→
     5→import yaml
     6→
     7→from concierge.config.models import ConciergeConfig, Status
     8→from concierge.core.logging import get_logger
     9→from concierge.core.plan import Plan
    10→from concierge.system.runner import System
    11→
    12→logger = get_logger(__name__)
    13→
    14→
    15→class Manager:
    16→    """Manager coordinates the overall execution of Concierge.
The file /home/ubuntu/concierge-py/src/concierge/core/plan.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Plan for executing Concierge operations."""
     2→
     3→import asyncio
     4→
     5→from concierge.config.models import ConciergeConfig
     6→from concierge.core.executable import Executable
     7→from concierge.core.logging import get_logger
     8→from concierge.juju.handler import JujuHandler
     9→from concierge.packages.deb_handler import DebHandler
    10→from concierge.packages.snap_handler import SnapHandler
    11→from concierge.providers.base import Provider
    12→from concierge.providers.factory import SUPPORTED_PROVIDERS, create_provider
    13→from concierge.system.models import Snap
    14→from concierge.system.worker import Worker
    15→
    16→logger = get_logger(__name__)
    17→
    18→
    19→async def do_action(executable: Executable, action: str) -> None:
    20→    """Execute prepare or restore on an Executable.
The file /home/ubuntu/concierge-py/src/concierge/system/runner.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""System command runner implementation."""
     2→
     3→import asyncio
     4→import os
     5→import pwd
     6→import shutil
     7→from pathlib import Path
     8→
     9→from tenacity import (
    10→    AsyncRetrying,
    11→    RetryError,
    12→    stop_after_delay,
    13→    wait_exponential,
    14→)
    15→
    16→from concierge.core.logging import get_logger
    17→from concierge.system.command import Command, CommandError
    18→from concierge.system.models import SnapInfo
    19→from concierge.system.snap import SnapdClient
    20→
    21→logger = get_logger(__name__)
    22→
    23→
    24→def _get_shell_path() -> str:
    25→    """Get path to the shell to use for command execution.
Thinking

Good! I've updated 3 files. Now let me continue with the remaining 12 files. Let me read them in batches and update them. I need to update:

  1. src/concierge/system/snap.py
  2. src/concierge/packages/snap_handler.py
  3. src/concierge/packages/deb_handler.py
  4. src/concierge/providers/lxd.py
  5. src/concierge/providers/microk8s.py
  6. src/concierge/providers/k8s.py
  7. src/concierge/providers/google.py
  8. src/concierge/juju/handler.py (already read)
  9. src/concierge/cli/commands/prepare.py
  10. src/concierge/cli/commands/restore.py
  11. src/concierge/cli/commands/status.py
  12. src/concierge/config/loader.py

Let me read the next batch and update them.

Good progress! Now let me continue with the remaining files. Let me read and update the next batch:

Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/system/snap.py",
  "limit": 30
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py",
  "limit": 30
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/packages/deb_handler.py",
  "limit": 30
}
     1→"""Snapd HTTP API client for querying snap information."""
     2→
     3→from collections.abc import Awaitable, Callable
     4→from pathlib import Path
     5→from typing import TYPE_CHECKING, Any
     6→
     7→import aiohttp
     8→import structlog
     9→from tenacity import (
    10→    AsyncRetrying,
    11→    RetryError,
    12→    retry_if_exception_type,
    13→    stop_after_attempt,
    14→    wait_exponential,
    15→)
    16→
    17→from concierge.system.models import SnapInfo
    18→
    19→if TYPE_CHECKING:
    20→    from concierge.system.runner import System
    21→
    22→logger = structlog.get_logger()
    23→
    24→SNAPD_SOCKET = Path("/run/snapd.socket")
    25→
    26→
    27→class SnapdClient:
    28→    """Client for interacting with the snapd HTTP API via Unix socket."""
    29→
    30→    def __init__(self, socket_path: Path = SNAPD_SOCKET) -> None:

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Snap package handler for installing and managing snaps."""
     2→
     3→import structlog
     4→
     5→from concierge.system.command import Command
     6→from concierge.system.models import Snap
     7→from concierge.system.worker import Worker
     8→
     9→logger = structlog.get_logger()
    10→
    11→
    12→class SnapHandler:
    13→    """Handler for managing snap packages.
    14→
    15→    This handler can install, refresh, and remove snap packages,
    16→    including handling classic confinement and snap connections.
    17→    """
    18→
    19→    def __init__(self, system: Worker, snaps: list[Snap]) -> None:
    20→        """Initialize the SnapHandler.
    21→
    22→        Args:
    23→            system: System worker for executing commands
    24→            snaps: List of snaps to manage
    25→        """
    26→        self.snaps = snaps
    27→        self.system = system
    28→
    29→    async def prepare(self) -> None:
    30→        """Install all configured snaps.

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Debian package handler for installing and managing apt packages."""
     2→
     3→import structlog
     4→
     5→from concierge.system.command import Command
     6→from concierge.system.worker import Worker
     7→
     8→logger = structlog.get_logger()
     9→
    10→
    11→class DebHandler:
    12→    """Handler for managing Debian packages via apt.
    13→
    14→    This handler can install and remove packages from the Ubuntu/Debian
    15→    package archives using apt-get.
    16→    """
    17→
    18→    def __init__(self, system: Worker, packages: list[str]) -> None:
    19→        """Initialize the DebHandler.
    20→
    21→        Args:
    22→            system: System worker for executing commands
    23→            packages: List of package names to manage
    24→        """
    25→        self.packages = packages
    26→        self.system = system
    27→
    28→    async def prepare(self) -> None:
    29→        """Install all configured packages.
    30→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Thinking

Good, I can see the pattern is consistent. Now let me update these three files, and then continue with the remaining ones.

Now let me update these three files:

✏️ Edit snap.py
/home/ubuntu/concierge-py/src/concierge/system/snap.py
from collections.abc import Awaitable, Callable
from pathlib import Path
from typing import TYPE_CHECKING, Any

import aiohttp
import structlog
from tenacity import (
    AsyncRetrying,
    RetryError,
    retry_if_exception_type,
    stop_after_attempt,
    wait_exponential,
)

from concierge.system.models import SnapInfo

if TYPE_CHECKING:
    from concierge.system.runner import System

logger = structlog.get_logger()
+
from collections.abc import Awaitable, Callable
from pathlib import Path
from typing import TYPE_CHECKING, Any

import aiohttp
from tenacity import (
    AsyncRetrying,
    RetryError,
    retry_if_exception_type,
    stop_after_attempt,
    wait_exponential,
)

from concierge.core.logging import get_logger
from concierge.system.models import SnapInfo

if TYPE_CHECKING:
    from concierge.system.runner import System

logger = get_logger(__name__)
✏️ Edit snap_handler.py
/home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py
"""Snap package handler for installing and managing snaps."""

import structlog

from concierge.system.command import Command
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
"""Snap package handler for installing and managing snaps."""

from concierge.core.logging import get_logger
from concierge.system.command import Command
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = get_logger(__name__)
✏️ Edit deb_handler.py
/home/ubuntu/concierge-py/src/concierge/packages/deb_handler.py
"""Debian package handler for installing and managing apt packages."""

import structlog

from concierge.system.command import Command
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
"""Debian package handler for installing and managing apt packages."""

from concierge.core.logging import get_logger
from concierge.system.command import Command
from concierge.system.worker import Worker

logger = get_logger(__name__)
The file /home/ubuntu/concierge-py/src/concierge/system/snap.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Snapd HTTP API client for querying snap information."""
     2→
     3→from collections.abc import Awaitable, Callable
     4→from pathlib import Path
     5→from typing import TYPE_CHECKING, Any
     6→
     7→import aiohttp
     8→from tenacity import (
     9→    AsyncRetrying,
    10→    RetryError,
    11→    retry_if_exception_type,
    12→    stop_after_attempt,
    13→    wait_exponential,
    14→)
    15→
    16→from concierge.core.logging import get_logger
    17→from concierge.system.models import SnapInfo
    18→
    19→if TYPE_CHECKING:
    20→    from concierge.system.runner import System
    21→
    22→logger = get_logger(__name__)
    23→
    24→SNAPD_SOCKET = Path("/run/snapd.socket")
    25→
    26→
The file /home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Snap package handler for installing and managing snaps."""
     2→
     3→from concierge.core.logging import get_logger
     4→from concierge.system.command import Command
     5→from concierge.system.models import Snap
     6→from concierge.system.worker import Worker
     7→
     8→logger = get_logger(__name__)
     9→
    10→
    11→class SnapHandler:
    12→    """Handler for managing snap packages.
The file /home/ubuntu/concierge-py/src/concierge/packages/deb_handler.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Debian package handler for installing and managing apt packages."""
     2→
     3→from concierge.core.logging import get_logger
     4→from concierge.system.command import Command
     5→from concierge.system.worker import Worker
     6→
     7→logger = get_logger(__name__)
     8→
     9→
    10→class DebHandler:
    11→    """Handler for managing Debian packages via apt.
Thinking

Great! Now I've updated 6 files (3 + 3). I have 9 more files to update:7. src/concierge/providers/lxd.py8. src/concierge/providers/microk8s.py 9. src/concierge/providers/k8s.py 10. src/concierge/providers/google.py 11. src/concierge/juju/handler.py12. src/concierge/cli/commands/prepare.py13. src/concierge/cli/commands/restore.py14. src/concierge/cli/commands/status.py 15. src/concierge/config/loader.pyLet me read and update the next batch.

Excellent! Let me continue with the provider files:

Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/providers/lxd.py",
  "limit": 25
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/providers/microk8s.py",
  "limit": 25
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/providers/k8s.py",
  "limit": 25
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/providers/google.py",
  "limit": 25
}
     1→"""LXD provider implementation."""
     2→
     3→from typing import Any
     4→
     5→import structlog
     6→
     7→from concierge.config.models import ConciergeConfig
     8→from concierge.packages.snap_handler import SnapHandler
     9→from concierge.system.command import Command
    10→from concierge.system.models import Snap
    11→from concierge.system.worker import Worker
    12→
    13→logger = structlog.get_logger()
    14→
    15→
    16→class LXD:
    17→    """LXD provider for Juju.
    18→
    19→    This provider installs and configures LXD for use in testing environments,
    20→    including firewall deconfliction and non-root user access.
    21→    """
    22→
    23→    def __init__(self, system: Worker, config: ConciergeConfig) -> None:
    24→        """Initialize the LXD provider.
    25→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""MicroK8s provider implementation."""
     2→
     3→from pathlib import Path
     4→from typing import Any
     5→
     6→import structlog
     7→
     8→from concierge.config.models import ConciergeConfig
     9→from concierge.packages.snap_handler import SnapHandler
    10→from concierge.system.command import Command
    11→from concierge.system.models import Snap
    12→from concierge.system.worker import Worker
    13→
    14→logger = structlog.get_logger()
    15→
    16→DEFAULT_MICROK8S_CHANNEL = "1.32-strict/stable"
    17→
    18→
    19→async def compute_default_channel(system: Worker) -> str:
    20→    """Compute the default MicroK8s channel.
    21→
    22→    Prefers strict variants, sorted descending by version.
    23→
    24→    Args:
    25→        system: System worker

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Kubernetes (k8s) provider implementation."""
     2→
     3→import asyncio
     4→from pathlib import Path
     5→from typing import Any
     6→
     7→import structlog
     8→
     9→from concierge.config.models import ConciergeConfig
    10→from concierge.packages.deb_handler import DebHandler
    11→from concierge.packages.snap_handler import SnapHandler
    12→from concierge.system.command import Command, CommandError
    13→from concierge.system.models import Snap
    14→from concierge.system.worker import Worker
    15→
    16→logger = structlog.get_logger()
    17→
    18→DEFAULT_K8S_CHANNEL = "1.32-classic/stable"
    19→
    20→
    21→class K8s:
    22→    """Kubernetes provider for Juju.
    23→
    24→    This provider installs and configures Canonical Kubernetes for use in
    25→    testing environments, including feature configuration and kubectl setup.

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Google Cloud provider implementation."""
     2→
     3→from pathlib import Path
     4→from typing import Any
     5→
     6→import structlog
     7→import yaml
     8→
     9→from concierge.config.models import ConciergeConfig
    10→from concierge.system.worker import Worker
    11→
    12→logger = structlog.get_logger()
    13→
    14→
    15→class Google:
    16→    """Google Cloud provider for Juju.
    17→
    18→    This provider reads Google Cloud credentials from a file and
    19→    provides them to Juju for bootstrap.
    20→    """
    21→
    22→    def __init__(self, system: Worker, config: ConciergeConfig) -> None:
    23→        """Initialize the Google provider.
    24→
    25→        Args:

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Thinking

Good, now let me update these four provider files.

Now let me update these provider files:

✏️ Edit lxd.py
/home/ubuntu/concierge-py/src/concierge/providers/lxd.py
"""LXD provider implementation."""

from typing import Any

import structlog

from concierge.config.models import ConciergeConfig
from concierge.packages.snap_handler import SnapHandler
from concierge.system.command import Command
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
"""LXD provider implementation."""

from typing import Any

from concierge.config.models import ConciergeConfig
from concierge.core.logging import get_logger
from concierge.packages.snap_handler import SnapHandler
from concierge.system.command import Command
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = get_logger(__name__)
✏️ Edit microk8s.py
/home/ubuntu/concierge-py/src/concierge/providers/microk8s.py
"""MicroK8s provider implementation."""

from pathlib import Path
from typing import Any

import structlog

from concierge.config.models import ConciergeConfig
from concierge.packages.snap_handler import SnapHandler
from concierge.system.command import Command
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
"""MicroK8s provider implementation."""

from pathlib import Path
from typing import Any

from concierge.config.models import ConciergeConfig
from concierge.core.logging import get_logger
from concierge.packages.snap_handler import SnapHandler
from concierge.system.command import Command
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = get_logger(__name__)
✏️ Edit k8s.py
/home/ubuntu/concierge-py/src/concierge/providers/k8s.py
"""Kubernetes (k8s) provider implementation."""

import asyncio
from pathlib import Path
from typing import Any

import structlog

from concierge.config.models import ConciergeConfig
from concierge.packages.deb_handler import DebHandler
from concierge.packages.snap_handler import SnapHandler
from concierge.system.command import Command, CommandError
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
"""Kubernetes (k8s) provider implementation."""

import asyncio
from pathlib import Path
from typing import Any

from concierge.config.models import ConciergeConfig
from concierge.core.logging import get_logger
from concierge.packages.deb_handler import DebHandler
from concierge.packages.snap_handler import SnapHandler
from concierge.system.command import Command, CommandError
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = get_logger(__name__)
✏️ Edit google.py
/home/ubuntu/concierge-py/src/concierge/providers/google.py
"""Google Cloud provider implementation."""

from pathlib import Path
from typing import Any

import structlog
import yaml

from concierge.config.models import ConciergeConfig
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
"""Google Cloud provider implementation."""

from pathlib import Path
from typing import Any

import yaml

from concierge.config.models import ConciergeConfig
from concierge.core.logging import get_logger
from concierge.system.worker import Worker

logger = get_logger(__name__)
The file /home/ubuntu/concierge-py/src/concierge/providers/lxd.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""LXD provider implementation."""
     2→
     3→from typing import Any
     4→
     5→from concierge.config.models import ConciergeConfig
     6→from concierge.core.logging import get_logger
     7→from concierge.packages.snap_handler import SnapHandler
     8→from concierge.system.command import Command
     9→from concierge.system.models import Snap
    10→from concierge.system.worker import Worker
    11→
    12→logger = get_logger(__name__)
    13→
    14→
    15→class LXD:
    16→    """LXD provider for Juju.
The file /home/ubuntu/concierge-py/src/concierge/providers/microk8s.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""MicroK8s provider implementation."""
     2→
     3→from pathlib import Path
     4→from typing import Any
     5→
     6→from concierge.config.models import ConciergeConfig
     7→from concierge.core.logging import get_logger
     8→from concierge.packages.snap_handler import SnapHandler
     9→from concierge.system.command import Command
    10→from concierge.system.models import Snap
    11→from concierge.system.worker import Worker
    12→
    13→logger = get_logger(__name__)
    14→
    15→DEFAULT_MICROK8S_CHANNEL = "1.32-strict/stable"
    16→
    17→
The file /home/ubuntu/concierge-py/src/concierge/providers/k8s.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Kubernetes (k8s) provider implementation."""
     2→
     3→import asyncio
     4→from pathlib import Path
     5→from typing import Any
     6→
     7→from concierge.config.models import ConciergeConfig
     8→from concierge.core.logging import get_logger
     9→from concierge.packages.deb_handler import DebHandler
    10→from concierge.packages.snap_handler import SnapHandler
    11→from concierge.system.command import Command, CommandError
    12→from concierge.system.models import Snap
    13→from concierge.system.worker import Worker
    14→
    15→logger = get_logger(__name__)
    16→
    17→DEFAULT_K8S_CHANNEL = "1.32-classic/stable"
    18→
    19→
The file /home/ubuntu/concierge-py/src/concierge/providers/google.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Google Cloud provider implementation."""
     2→
     3→from pathlib import Path
     4→from typing import Any
     5→
     6→import yaml
     7→
     8→from concierge.config.models import ConciergeConfig
     9→from concierge.core.logging import get_logger
    10→from concierge.system.worker import Worker
    11→
    12→logger = get_logger(__name__)
    13→
    14→
    15→class Google:
    16→    """Google Cloud provider for Juju.
Thinking

Great! I've now updated 10 files. I have 5 more files to update:11. src/concierge/juju/handler.py 12. src/concierge/cli/commands/prepare.py 13. src/concierge/cli/commands/restore.py 14. src/concierge/cli/commands/status.py15. src/concierge/config/loader.pyLet me continue with the remaining files.

Perfect! Now let me update the juju handler and the CLI command files:

✏️ Edit handler.py
/home/ubuntu/concierge-py/src/concierge/juju/handler.py
import asyncio
import shlex
from pathlib import Path

import structlog
import yaml
from tenacity import (
    AsyncRetrying,
    RetryError,
    retry_if_exception_type,
    stop_after_attempt,
    wait_exponential,
)

from concierge.config.models import ConciergeConfig
from concierge.juju.credentials import build_credentials_yaml
from concierge.packages.snap_handler import SnapHandler
from concierge.providers.base import Provider
from concierge.system.command import Command, CommandError
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = structlog.get_logger()
+
import asyncio
import shlex
from pathlib import Path

import yaml
from tenacity import (
    AsyncRetrying,
    RetryError,
    retry_if_exception_type,
    stop_after_attempt,
    wait_exponential,
)

from concierge.config.models import ConciergeConfig
from concierge.core.logging import get_logger
from concierge.juju.credentials import build_credentials_yaml
from concierge.packages.snap_handler import SnapHandler
from concierge.providers.base import Provider
from concierge.system.command import Command, CommandError
from concierge.system.models import Snap
from concierge.system.worker import Worker

logger = get_logger(__name__)
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/cli/commands/prepare.py",
  "limit": 25
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/cli/commands/restore.py",
  "limit": 25
}
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/cli/commands/status.py",
  "limit": 35
}
The file /home/ubuntu/concierge-py/src/concierge/juju/handler.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Juju handler for installation and bootstrap."""
     2→
     3→import asyncio
     4→import shlex
     5→from pathlib import Path
     6→
     7→import yaml
     8→from tenacity import (
     9→    AsyncRetrying,
    10→    RetryError,
    11→    retry_if_exception_type,
    12→    stop_after_attempt,
    13→    wait_exponential,
    14→)
    15→
    16→from concierge.config.models import ConciergeConfig
    17→from concierge.core.logging import get_logger
    18→from concierge.juju.credentials import build_credentials_yaml
    19→from concierge.packages.snap_handler import SnapHandler
    20→from concierge.providers.base import Provider
    21→from concierge.system.command import Command, CommandError
    22→from concierge.system.models import Snap
    23→from concierge.system.worker import Worker
    24→
    25→logger = get_logger(__name__)
    26→
    27→
    28→def _merge_dicts[T](base: dict[str, T], override: dict[str, T]) -> dict[str, T]:
    29→    """Merge two dictionaries, with override taking precedence.
     1→"""Prepare command implementation."""
     2→
     3→import structlog
     4→
     5→from concierge.config.loader import load_config
     6→from concierge.config.models import ConfigOverrides
     7→from concierge.core.manager import Manager
     8→
     9→logger = structlog.get_logger()
    10→
    11→
    12→async def run_prepare(
    13→    config_file: str,
    14→    preset: str,
    15→    overrides: ConfigOverrides,
    16→) -> None:
    17→    """Execute the prepare command to provision the environment.
    18→
    19→    Args:
    20→        config_file: Path to configuration file
    21→        preset: Preset name to use
    22→        overrides: Configuration overrides from CLI/env
    23→    """
    24→    logger.info("Starting environment preparation")
    25→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Restore command implementation."""
     2→
     3→import structlog
     4→
     5→from concierge.config.loader import load_config
     6→from concierge.core.manager import Manager
     7→
     8→logger = structlog.get_logger()
     9→
    10→
    11→async def run_restore(config_file: str, preset: str) -> None:
    12→    """Execute the restore command to revert the environment.
    13→
    14→    Args:
    15→        config_file: Path to configuration file
    16→        preset: Preset name to use
    17→    """
    18→    logger.info("Starting environment restoration")
    19→
    20→    # Load configuration (though Manager will reload from cache)
    21→    config = load_config(config_file=config_file, preset=preset)
    22→
    23→    # Create manager and execute restoration
    24→    manager = Manager(config)
    25→    await manager.restore()

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
     1→"""Status command implementation."""
     2→
     3→import asyncio
     4→
     5→import structlog
     6→
     7→from concierge.config.models import ConciergeConfig
     8→from concierge.core.manager import Manager
     9→
    10→logger = structlog.get_logger()
    11→
    12→
    13→def run_status() -> None:
    14→    """Show the status of the Concierge environment."""
    15→    logger.info("Checking environment status")
    16→
    17→    # Run async status check
    18→    asyncio.run(_async_status())
    19→
    20→
    21→async def _async_status() -> None:
    22→    """Async implementation of status check."""
    23→    # Create a minimal config for manager (will be loaded from cache)
    24→    config = ConciergeConfig()
    25→    manager = Manager(config)
    26→
    27→    try:
    28→        status = await manager.status()
    29→        print(f"Concierge status: {status.value}")
    30→    except FileNotFoundError as e:
    31→        print(f"Error: {e}")
    32→        logger.exception("No previous Concierge preparation found")
    33→

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Thinking

Good, now let me update these three CLI command files and then read the last file (config/loader.py).

Now let me update these CLI command files and read the last file:

✏️ Edit prepare.py
/home/ubuntu/concierge-py/src/concierge/cli/commands/prepare.py
"""Prepare command implementation."""

import structlog

from concierge.config.loader import load_config
from concierge.config.models import ConfigOverrides
from concierge.core.manager import Manager

logger = structlog.get_logger()
+
"""Prepare command implementation."""

from concierge.config.loader import load_config
from concierge.config.models import ConfigOverrides
from concierge.core.logging import get_logger
from concierge.core.manager import Manager

logger = get_logger(__name__)
✏️ Edit restore.py
/home/ubuntu/concierge-py/src/concierge/cli/commands/restore.py
"""Restore command implementation."""

import structlog

from concierge.config.loader import load_config
from concierge.core.manager import Manager

logger = structlog.get_logger()
+
"""Restore command implementation."""

from concierge.config.loader import load_config
from concierge.core.logging import get_logger
from concierge.core.manager import Manager

logger = get_logger(__name__)
✏️ Edit status.py
/home/ubuntu/concierge-py/src/concierge/cli/commands/status.py
"""Status command implementation."""

import asyncio

import structlog

from concierge.config.models import ConciergeConfig
from concierge.core.manager import Manager

logger = structlog.get_logger()
+
"""Status command implementation."""

import asyncio

from concierge.config.models import ConciergeConfig
from concierge.core.logging import get_logger
from concierge.core.manager import Manager

logger = get_logger(__name__)
Read
{
  "file_path": "/home/ubuntu/concierge-py/src/concierge/config/loader.py",
  "limit": 30
}
The file /home/ubuntu/concierge-py/src/concierge/cli/commands/prepare.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Prepare command implementation."""
     2→
     3→from concierge.config.loader import load_config
     4→from concierge.config.models import ConfigOverrides
     5→from concierge.core.logging import get_logger
     6→from concierge.core.manager import Manager
     7→
     8→logger = get_logger(__name__)
     9→
    10→
    11→async def run_prepare(
    12→    config_file: str,
The file /home/ubuntu/concierge-py/src/concierge/cli/commands/restore.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Restore command implementation."""
     2→
     3→from concierge.config.loader import load_config
     4→from concierge.core.logging import get_logger
     5→from concierge.core.manager import Manager
     6→
     7→logger = get_logger(__name__)
     8→
     9→
    10→async def run_restore(config_file: str, preset: str) -> None:
    11→    """Execute the restore command to revert the environment.
The file /home/ubuntu/concierge-py/src/concierge/cli/commands/status.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Status command implementation."""
     2→
     3→import asyncio
     4→
     5→from concierge.config.models import ConciergeConfig
     6→from concierge.core.logging import get_logger
     7→from concierge.core.manager import Manager
     8→
     9→logger = get_logger(__name__)
    10→
    11→
    12→def run_status() -> None:
    13→    """Show the status of the Concierge environment."""
     1→"""Configuration loading and parsing for Concierge."""
     2→
     3→import os
     4→from pathlib import Path
     5→
     6→import structlog
     7→import yaml
     8→
     9→from concierge.config.models import ConciergeConfig, ConfigOverrides, SnapConfig
    10→from concierge.config.presets import get_preset
    11→
    12→logger = structlog.get_logger()
    13→
    14→
    15→def load_config(
    16→    config_file: str = "",
    17→    preset: str = "",
    18→    overrides: ConfigOverrides | None = None,
    19→) -> ConciergeConfig:
    20→    """Load configuration from file, preset, or defaults.
    21→
    22→    Args:
    23→        config_file: Path to YAML configuration file (optional)
    24→        preset: Name of preset to use (optional)
    25→        overrides: Configuration overrides from CLI/env (optional)
    26→
    27→    Returns:
    28→        Loaded and validated configuration
    29→
    30→    Raises:

<system-reminder>
Whenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.
</system-reminder>
Thinking

Perfect! Now I just need to update the last file (config/loader.py), then mark the import updates as completed and move on to updating the dependencies.

Perfect! Now let me update the last file:

✏️ Edit loader.py
/home/ubuntu/concierge-py/src/concierge/config/loader.py
"""Configuration loading and parsing for Concierge."""

import os
from pathlib import Path

import structlog
import yaml

from concierge.config.models import ConciergeConfig, ConfigOverrides, SnapConfig
from concierge.config.presets import get_preset

logger = structlog.get_logger()
+
"""Configuration loading and parsing for Concierge."""

import os
from pathlib import Path

import yaml

from concierge.config.models import ConciergeConfig, ConfigOverrides, SnapConfig
from concierge.config.presets import get_preset
from concierge.core.logging import get_logger

logger = get_logger(__name__)
The file /home/ubuntu/concierge-py/src/concierge/config/loader.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Configuration loading and parsing for Concierge."""
     2→
     3→import os
     4→from pathlib import Path
     5→
     6→import yaml
     7→
     8→from concierge.config.models import ConciergeConfig, ConfigOverrides, SnapConfig
     9→from concierge.config.presets import get_preset
    10→from concierge.core.logging import get_logger
    11→
    12→logger = get_logger(__name__)
    13→
    14→
    15→def load_config(
    16→    config_file: str = "",
Thinking

Excellent! I've now updated all 15 source files with the new import pattern. Now let me mark this task as completed and move on to updating the dependencies in pyproject.toml.

Excellent! All 15 source files have been updated. Now let me mark this task as completed and update the dependencies:

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
✏️ Edit pyproject.toml
/home/ubuntu/concierge-py/pyproject.toml
dependencies = [
    "typer[all]>=0.12.0",
    "rich>=13.7.0",
    "aiohttp>=3.9.0",
    "pydantic>=2.6.0",
    "pyyaml>=6.0",
    "tenacity>=8.2.0",
    "structlog>=24.1.0",
]
+
dependencies = [
    "typer[all]>=0.12.0",
    "rich>=13.7.0",
    "aiohttp>=3.9.0",
    "pydantic>=2.6.0",
    "pyyaml>=6.0",
    "tenacity>=8.2.0",
]
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
The file /home/ubuntu/concierge-py/pyproject.toml has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     7→license = {text = "Apache-2.0"}
     8→authors = [
     9→    {name = "Canonical Ltd."}
    10→]
    11→dependencies = [
    12→    "typer[all]>=0.12.0",
    13→    "rich>=13.7.0",
    14→    "aiohttp>=3.9.0",
    15→    "pydantic>=2.6.0",
    16→    "pyyaml>=6.0",
    17→    "tenacity>=8.2.0",
    18→]
    19→
    20→[project.optional-dependencies]
    21→dev = [
    22→    "pytest>=8.0.0",
Thinking

Perfect! Now let me mark the dependencies task as completed, and move on to installing the updated dependencies.

Perfect! Dependencies updated. Now let me mark this as completed and install the updated dependencies:

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
$ Bash
Install updated dependencies
pip install -e .
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Exit code 127
/bin/bash: line 1: pip: command not found
Thinking

It looks like pip is not available in the PATH. Let me try using python -m pip or check if there's a virtual environment that needs to be activated. Let me try python3 -m pip instead.

Let me try with python3:

$ Bash
Install updated dependencies using python3
python3 -m pip install -e .
Exit code 1
/usr/bin/python3: No module named pip
Thinking

It seems pip is not available. Let me check if there's a virtual environment or if we need to use a different Python environment. Let me check what Python is available and whether there's a .venv or similar.

Let me check for a virtual environment:

$ Bash
Check for virtual environment
ls -la | grep -E "venv|.venv|env"
drwxrwxr-x  4 ubuntu ubuntu   4096 Dec 13 08:18 .venv
Thinking

Great! There's a .venv directory. I should activate it and then install the dependencies. Let me activate the virtual environment and install.

Found a virtual environment! Let me activate it and install:

$ Bash
Activate venv and install dependencies
source .venv/bin/activate && pip install -e .
Exit code 127
/bin/bash: line 1: pip: command not found
Thinking

Still having issues with pip. Let me try using .venv/bin/pip directly.

Let me try using the venv's pip directly:

$ Bash
Install using venv pip directly
.venv/bin/pip install -e .
Exit code 127
/bin/bash: line 1: .venv/bin/pip: No such file or directory
Thinking

The venv doesn't have pip. Let me check what's actually in the .venv/bin directory.

Let me check what's in the venv:

$ Bash
List venv bin contents
ls -la .venv/bin/
total 56292
drwxrwxr-x 2 ubuntu ubuntu     4096 Dec 13 08:25 .
drwxrwxr-x 4 ubuntu ubuntu     4096 Dec 13 08:18 ..
-rw-rw-r-- 1 ubuntu ubuntu     4102 Dec 13 08:18 activate
-rw-rw-r-- 1 ubuntu ubuntu     2673 Dec 13 08:18 activate.bat
-rw-rw-r-- 1 ubuntu ubuntu     2632 Dec 13 08:18 activate.csh
-rw-rw-r-- 1 ubuntu ubuntu     4204 Dec 13 08:18 activate.fish
-rw-rw-r-- 1 ubuntu ubuntu     3774 Dec 13 08:18 activate.nu
-rw-rw-r-- 1 ubuntu ubuntu     2780 Dec 13 08:18 activate.ps1
-rw-rw-r-- 1 ubuntu ubuntu     2392 Dec 13 08:18 activate_this.py
-rwxrwxr-x 1 ubuntu ubuntu      324 Dec 13 08:25 concierge
-rwxrwxr-x 1 ubuntu ubuntu      325 Dec 13 08:21 coverage
-rwxrwxr-x 1 ubuntu ubuntu      347 Dec 13 08:21 coverage-3.14
-rwxrwxr-x 1 ubuntu ubuntu      347 Dec 13 08:21 coverage3
-rw-rw-r-- 1 ubuntu ubuntu     1730 Dec 13 08:18 deactivate.bat
-rwxrwxr-x 1 ubuntu ubuntu      330 Dec 13 08:21 markdown-it
-rwxrwxr-x 1 ubuntu ubuntu      331 Dec 13 08:21 py.test
-rw-rw-r-- 1 ubuntu ubuntu     1217 Dec 13 08:18 pydoc.bat
-rwxrwxr-x 1 ubuntu ubuntu      325 Dec 13 08:21 pygmentize
-rwxrwxr-x 1 ubuntu ubuntu      331 Dec 13 08:21 pytest
lrwxrwxrwx 1 ubuntu ubuntu       82 Dec 13 08:18 python -> /home/ubuntu/.local/share/uv/python/cpython-3.14.2-linux-x86_64-gnu/bin/python3.14
lrwxrwxrwx 1 ubuntu ubuntu        6 Dec 13 08:18 python3 -> python
lrwxrwxrwx 1 ubuntu ubuntu        6 Dec 13 08:18 python3.14 -> python
-rwxrwxr-x 1 ubuntu ubuntu 35735616 Dec 13 08:21 ruff
-rwxrwxr-x 1 ubuntu ubuntu 21801048 Dec 13 08:21 ty
-rwxrwxr-x 1 ubuntu ubuntu      318 Dec 13 08:21 typer
Thinking

I see - this is a uv-based virtual environment, not a traditional venv. I can see that the project is already installed (there's a concierge executable). Let me try using uv to sync the dependencies, or check if uv is available.

I see this is a uv-based environment. Let me try using uv to sync dependencies:

$ Bash
Sync dependencies with uv
uv sync
Resolved 34 packages in 6.95s
warning: The package `typer==0.20.0` does not have an extra named `all`
   Building concierge @ file:///home/ubuntu/concierge-py
      Built concierge @ file:///home/ubuntu/concierge-py
Prepared 1 package in 1.70s
Uninstalled 11 packages in 19.08s
warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.
         If the cache and target directories are on different filesystems, hardlinking may not be supported.
         If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.
Installed 1 package in 284ms
 ~ concierge==0.1.0 (from file:///home/ubuntu/concierge-py)
 - coverage==7.13.0
 - iniconfig==2.3.0
 - packaging==25.0
 - pluggy==1.6.0
 - pytest==9.0.2
 - pytest-asyncio==1.3.0
 - pytest-cov==7.0.0
 - ruff==0.14.9
 - structlog==25.5.0
 - ty==0.0.1a34
Thinking

Perfect! uv sync worked and successfully removed structlog (as shown in the uninstalled packages). Now let me mark the installation task as completed and move on to running the code quality checks.

Perfect! Dependencies updated successfully - structlog has been removed. Now let me mark this as completed and run the code quality checks:

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
$ Bash
Run type checker
ty check
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Exit code 127
/bin/bash: line 1: ty: command not found
Thinking

ty is not in the PATH. I need to use the venv's ty executable directly.

Let me use the venv's ty directly:

$ Bash
Run type checker from venv
.venv/bin/ty check
Exit code 127
/bin/bash: line 1: .venv/bin/ty: No such file or directory
Thinking

Hmm, I saw ty in the ls output earlier. Let me check if it exists again or try using the full path.

Let me try the full path:

$ Bash
Run type checker with full path
/home/ubuntu/concierge-py/.venv/bin/ty check
Exit code 127
/bin/bash: line 1: /home/ubuntu/concierge-py/.venv/bin/ty: No such file or directory
Thinking

This is strange. Let me check if the file exists and what it is.

Let me check if ty actually exists:

$ Bash
Check ty file status
ls -la /home/ubuntu/concierge-py/.venv/bin/ty 2>&1 || file /home/ubuntu/concierge-py/.venv/bin/ty 2>&1
ls: cannot access '/home/ubuntu/concierge-py/.venv/bin/ty': No such file or directory
/home/ubuntu/concierge-py/.venv/bin/ty: cannot open `/home/ubuntu/concierge-py/.venv/bin/ty' (No such file or directory)
Thinking

It seems ty was removed when we ran uv sync. This is expected since ty is a dev dependency and uv sync may have removed it when we updated the project. Let me reinstall the dev dependencies.

Let me reinstall dev dependencies:

$ Bash
Sync dev dependencies
uv sync --dev
Resolved 34 packages in 10ms
Audited 24 packages in 273ms
Thinking

Hmm, it says it resolved 34 packages but didn't install anything. Let me check the .venv/bin again to see if ty is there now.

$ Bash
Check for dev tools
ls -la .venv/bin/ | grep -E "ty|ruff|pytest"
-rwxrwxr-x 1 ubuntu ubuntu  318 Dec 13 08:21 typer
Thinking

It seems the dev dependencies are not installed. Let me try a different approach - maybe I need to use uv pip install or uv sync with different flags. Let me check what uv commands are available.

$ Bash
Sync with all extras
uv sync --all-extras
Resolved 34 packages in 9ms
warning: Failed to hardlink files; falling back to full copy. This may lead to degraded performance.
         If the cache and target directories are on different filesystems, hardlinking may not be supported.
         If this is intentional, set `export UV_LINK_MODE=copy` or use `--link-mode=copy` to suppress this warning.
Installed 9 packages in 2.44s
 + coverage==7.13.0
 + iniconfig==2.3.0
 + packaging==25.0
 + pluggy==1.6.0
 + pytest==9.0.2
 + pytest-asyncio==1.3.0
 + pytest-cov==7.0.0
 + ruff==0.14.9
 + ty==0.0.1a34
Thinking

Great! Now ty, ruff, and pytest are installed. Let me try running the type checker now.

Perfect! Now let me run the type checker:

$ Bash
Run type checker
.venv/bin/ty check
Exit code 1
error[invalid-method-override]: Invalid override of method `process`
   --> src/concierge/core/logging.py:23:9
    |
 21 |     """
 22 |
 23 |     def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:
    |         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Definition is incompatible with `LoggerAdapter.process`
 24 |         """Process log message and kwargs to extract context data.
    |
   ::: stdlib/logging/__init__.pyi:955:9
    |
953 |         merge_extra: bool
954 |
955 |     def process(self, msg: Any, kwargs: MutableMapping[str, Any]) -> tuple[Any, MutableMapping[str, Any]]:
    |         ------------------------------------------------------------------------------------------------- `LoggerAdapter.process` defined here
956 |         """
957 |         Process the logging message and keyword arguments passed in to
    |
info: This violates the Liskov Substitution Principle
info: rule `invalid-method-override` is enabled by default

Found 1 diagnostic
Thinking

There's a type error in the StructuredLoggerAdapter.process method. The parent class expects MutableMapping[str, Any] but we're using dict[str, Any]. Let me fix this type annotation to match the parent class.

I need to fix the type annotation to match the parent class. Let me update it:

✏️ Edit logging.py
/home/ubuntu/concierge-py/src/concierge/core/logging.py
"""Logging configuration for Concierge using stdlib logging with rich."""

import logging
from typing import Any

from rich.console import Console
from rich.logging import RichHandler
+
"""Logging configuration for Concierge using stdlib logging with rich."""

import logging
from collections.abc import MutableMapping
from typing import Any

from rich.console import Console
from rich.logging import RichHandler
✏️ Edit logging.py
/home/ubuntu/concierge-py/src/concierge/core/logging.py
    def process(self, msg: str, kwargs: dict[str, Any]) -> tuple[str, dict[str, Any]]:
+
    def process(
        self, msg: Any, kwargs: MutableMapping[str, Any]
    ) -> tuple[Any, MutableMapping[str, Any]]:
The file /home/ubuntu/concierge-py/src/concierge/core/logging.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
     1→"""Logging configuration for Concierge using stdlib logging with rich."""
     2→
     3→import logging
     4→from collections.abc import MutableMapping
     5→from typing import Any
     6→
     7→from rich.console import Console
     8→from rich.logging import RichHandler
     9→
    10→
    11→class StructuredLoggerAdapter(logging.LoggerAdapter):
    12→    """Logger adapter that formats kwargs as structured context data.
The file /home/ubuntu/concierge-py/src/concierge/core/logging.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
    20→        logger.info("Bootstrap complete", provider="lxd", duration=42.5)
    21→        # Output: Bootstrap complete [provider=lxd duration=42.5]
    22→    """
    23→
    24→    def process(
    25→        self, msg: Any, kwargs: MutableMapping[str, Any]
    26→    ) -> tuple[Any, MutableMapping[str, Any]]:
    27→        """Process log message and kwargs to extract context data.
    28→
    29→        Args:
    30→            msg: Log message
Thinking

Good! Now let me run the type checker again to see if there are any more issues.

Now let me run the type checker again:

$ Bash
Run type checker again
.venv/bin/ty check
All checks passed!
Thinking

Excellent! The type checker passed. Now let me mark this as completed and run the linter.

Excellent! Type checking passed. Now let me run the linter:

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
$ Bash
Run linter
.venv/bin/ruff check .
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Exit code 1
SIM108 Use ternary operator `logger = logging.getLogger(name) if name else logging.getLogger(__name__)` instead of `if`-`else`-block
   --> src/concierge/core/logging.py:109:5
    |
107 |           logger.info("Processing item", item_id=123, status="active")
108 |       """
109 | /     if name:
110 | |         logger = logging.getLogger(name)
111 | |     else:
112 | |         # Use the calling module's name if not specified
113 | |         logger = logging.getLogger(__name__)
    | |____________________________________________^
114 |
115 |       return StructuredLoggerAdapter(logger, {})
    |
help: Replace `if`-`else`-block with `logger = logging.getLogger(name) if name else logging.getLogger(__name__)`

Found 1 error.
Thinking

The linter is suggesting using a ternary operator instead of the if-else block. Let me fix this.

Let me fix the linter issue:

✏️ Edit logging.py
/home/ubuntu/concierge-py/src/concierge/core/logging.py
    if name:
        logger = logging.getLogger(name)
    else:
        # Use the calling module's name if not specified
        logger = logging.getLogger(__name__)

    return StructuredLoggerAdapter(logger, {})
+
    # Use the provided name, or fall back to this module's name if not specified
    logger = logging.getLogger(name) if name else logging.getLogger(__name__)

    return StructuredLoggerAdapter(logger, {})
The file /home/ubuntu/concierge-py/src/concierge/core/logging.py has been updated. Here's the result of running `cat -n` on a snippet of the edited file:
   105→    Example:
   106→        logger = get_logger(__name__)
   107→        logger.info("Processing item", item_id=123, status="active")
   108→    """
   109→    # Use the provided name, or fall back to this module's name if not specified
   110→    logger = logging.getLogger(name) if name else logging.getLogger(__name__)
   111→
   112→    return StructuredLoggerAdapter(logger, {})
   113→
Thinking

Good! Now let me run the linter again to make sure there are no more issues.

Now let me run the linter again:

$ Bash
Run linter again
.venv/bin/ruff check .
All checks passed!
Thinking

Perfect! The linter passed. Now let me mark this as completed and run the formatter.

Perfect! Now let me run the formatter:

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
$ Bash
Run formatter
.venv/bin/ruff format .
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
39 files left unchanged
Thinking

Perfect! All files are already properly formatted. Now let me mark the formatter task as completed and verify that no structlog imports remain in the codebase.

Excellent! All tasks completed. Let me verify no structlog imports remain:

Task List
  • Rewrite core logging module (logging.py)
  • Update 15 source files with new import pattern
  • Update dependencies in pyproject.toml
  • Install updated dependencies
  • Run type checker (ty check)
  • Run linter (ruff check)
  • Run formatter (ruff format)
Grep
{
  "pattern": "import structlog",
  "path": "src",
  "output_mode": "files_with_matches"
}
Grep
{
  "pattern": "structlog",
  "path": "src",
  "output_mode": "files_with_matches"
}
Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable
Found 1 file
src/concierge/core/logging.py
No files found
Thinking

There's a mention of structlog in the logging.py file. Let me check what it is - it's probably in a comment or docstring.

Let me check what structlog reference remains:

Grep
{
  "pattern": "structlog",
  "path": "src/concierge/core/logging.py",
  "output_mode": "content",
  "-n": true
}
14:    This adapter preserves the structlog-like API where context data
16:    from structlog to stdlib logging seamless.
97:    data as keyword arguments, maintaining API compatibility with structlog.
Thinking

These are just documentation references mentioning that we're maintaining compatibility with structlog. These are fine to leave as they explain the design decision. Let me now create a quick summary for the user.

Perfect! The migration is complete. The only remaining references to structlog are in documentation comments explaining the compatibility. Let me create a summary of what was accomplished:

Migration Complete!

I've successfully migrated the entire project from structlog to Python's standard library logging with rich enhancements. Here's what was done:

Changes Made:

  1. Core Logging Module (src/concierge/core/logging.py):
  2. Replaced structlog with a custom StructuredLoggerAdapter class
  3. Integrated RichHandler for colored output, timestamps, and enhanced formatting
  4. Preserved the kwargs-based API for structured logging (e.g., logger.info("msg", key=value))

  5. Updated 15 Source Files:

  6. Changed all imports from import structlog to from concierge.core.logging import get_logger
  7. Updated logger instantiation from structlog.get_logger() to get_logger(__name__)

  8. Dependencies:

  9. Removed structlog>=24.1.0 from pyproject.toml
  10. Dependencies synced successfully with uv

  11. Code Quality:

  12. ✅ Type checking passed (ty check)
  13. ✅ Linting passed (ruff check)
  14. ✅ Formatting verified (ruff format)

Key Features Preserved:

  • Structured logging: Context data can still be passed as kwargs: logger.info("Bootstrapping Juju", provider=provider.name())
  • Colored output: Rich provides better coloring than structlog
  • Timestamps: Shown with rich formatting
  • Exception rendering: Enhanced with rich tracebacks
  • Log levels: trace→DEBUG, verbose→INFO, default→WARNING

Output Format Changes:

Before (structlog):

2025-12-13 10:15:23 [info     ] Bootstrapping Juju            provider=lxd

After (stdlib + rich):

10:15:23 concierge.juju.handler INFO     Bootstrapping Juju [provider=lxd]

The new format includes module paths which aids in debugging, and context data is clearly separated in dimmed brackets.

All code is now using standard library logging with rich enhancements, and structlog has been completely removed from the project!

Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to.

/export export

Conversation exported to: .claude/logs/2025-12-13-standard-python-logging.txt

Commit the changes, including the log file I just added.

Thinking

The user wants me to commit the changes, including the log file they just added. Let me create a git commit with all the changes from the migration.

I need to: 1. Stage all the changed files 2. Create a commit message that describes the migration 3. Include the log file they mentioned (.claude/logs/2025-12-13-standard-python-logging.txt)

Let me follow the git commit protocol from the instructions.

I'll commit all the changes from the structlog to stdlib logging migration, including the log file you added.

$ Bash
Check git status
git status
$ Bash
Show diff statistics
git diff --stat
On branch main
Your branch is ahead of 'origin/main' by 1 commit.
  (use "git push" to publish your local commits)

Changes not staged for commit:
  (use "git add <file>..." to update what will be committed)
  (use "git restore <file>..." to discard changes in working directory)
	modified:   pyproject.toml
	modified:   src/concierge/cli/commands/prepare.py
	modified:   src/concierge/cli/commands/restore.py
	modified:   src/concierge/cli/commands/status.py
	modified:   src/concierge/config/loader.py
	modified:   src/concierge/core/logging.py
	modified:   src/concierge/core/manager.py
	modified:   src/concierge/core/plan.py
	modified:   src/concierge/juju/handler.py
	modified:   src/concierge/packages/deb_handler.py
	modified:   src/concierge/packages/snap_handler.py
	modified:   src/concierge/providers/google.py
	modified:   src/concierge/providers/k8s.py
	modified:   src/concierge/providers/lxd.py
	modified:   src/concierge/providers/microk8s.py
	modified:   src/concierge/system/runner.py
	modified:   src/concierge/system/snap.py

Untracked files:
  (use "git add <file>..." to include in what will be committed)
	.claude/logs/2025-12-13-standard-python-logging.txt

no changes added to commit (use "git add" and/or "git commit -a")
 pyproject.toml                         |   1 -
 src/concierge/cli/commands/prepare.py  |   5 +-
 src/concierge/cli/commands/restore.py  |   5 +-
 src/concierge/cli/commands/status.py   |   5 +-
 src/concierge/config/loader.py         |   4 +-
 src/concierge/core/logging.py          | 117 ++++++++++++++++++++++++---------
 src/concierge/core/manager.py          |   4 +-
 src/concierge/core/plan.py             |   5 +-
 src/concierge/juju/handler.py          |   4 +-
 src/concierge/packages/deb_handler.py  |   5 +-
 src/concierge/packages/snap_handler.py |   5 +-
 src/concierge/providers/google.py      |   4 +-
 src/concierge/providers/k8s.py         |   5 +-
 src/concierge/providers/lxd.py         |   5 +-
 src/concierge/providers/microk8s.py    |   5 +-
 src/concierge/system/runner.py         |   4 +-
 src/concierge/system/snap.py           |   4 +-
 17 files changed, 115 insertions(+), 72 deletions(-)
Thinking

Good, I can see all the changes. Now I need to: 1. Add all the modified files 2. Add the new log file 3. Create a commit with a good message describing the migration

Let me follow the git commit protocol and create a proper commit message.

Now I'll stage all the changes and create a commit:

$ Bash
Stage all changes
git add -A
$ Bash
Commit logging migration changes
git commit -m "$(cat <<'EOF'
refactor: migrate from structlog to stdlib logging with rich

Replace structlog with Python's standard library logging enhanced with
the rich package. This removes the structlog dependency while
preserving all structured logging capabilities.

Changes:
- Implemented StructuredLoggerAdapter to maintain kwargs-based API
- Integrated RichHandler for colored output and enhanced formatting
- Updated all 16 source files to use new logging module
- Removed structlog dependency from pyproject.toml

Benefits:
- Better exception rendering with rich tracebacks
- Module paths in logs for easier debugging
- Reduced dependencies (rich already used by typer)
- Simplified logging configuration

The new logger maintains API compatibility:
  logger.info("message", key=value)

All type checking, linting, and formatting checks pass.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
EOF
)"
$ Bash
Verify commit status
git status
18 files changed, 1169 insertions(+), 72 deletions(-)
 create mode 100644 .claude/logs/2025-12-13-standard-python-logging.txt
On branch main
Your branch is ahead of 'origin/main' by 2 commits.
  (use "git push" to publish your local commits)

nothing to commit, working tree clean
Thinking

Perfect! The commit was successful. The commit includes: - All 17 modified source files - The new log file (.claude/logs/2025-12-13-standard-python-logging.txt) - Total of 18 files changed with 1169 insertions and 72 deletions

The working tree is now clean and we're 2 commits ahead of origin/main.

Perfect! I've successfully committed all the changes. The commit includes:

  • 18 files changed: 17 modified source files + the conversation log you added
  • 1,169 insertions, 72 deletions: Complete migration from structlog to stdlib logging
  • Clean working tree: All changes committed

The commit message documents: - The refactoring from structlog to stdlib logging with rich - Implementation details (StructuredLoggerAdapter, RichHandler) - Benefits of the migration - API compatibility preservation

Your branch is now 2 commits ahead of origin/main and ready to push when you're ready.