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.
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.
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.
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.
{
"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)"
}
]Great! The Explore agent has provided a comprehensive analysis of structlog usage. Now I have a clear understanding of:
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.
{
"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)"
}
]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
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>
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:
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.
# 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
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.
{
"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
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:
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.
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
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.
"""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→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.
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>
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:
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__)
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__)
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.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:
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:
{
"file_path": "/home/ubuntu/concierge-py/src/concierge/system/snap.py",
"limit": 30
}{
"file_path": "/home/ubuntu/concierge-py/src/concierge/packages/snap_handler.py",
"limit": 30
}{
"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>
Good, I can see the pattern is consistent. Now let me update these three files, and then continue with the remaining ones.
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__)"""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__)
"""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.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.
{
"file_path": "/home/ubuntu/concierge-py/src/concierge/providers/lxd.py",
"limit": 25
}{
"file_path": "/home/ubuntu/concierge-py/src/concierge/providers/microk8s.py",
"limit": 25
}{
"file_path": "/home/ubuntu/concierge-py/src/concierge/providers/k8s.py",
"limit": 25
}{
"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>
"""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__)
"""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__)
"""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__)
"""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.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.
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__){
"file_path": "/home/ubuntu/concierge-py/src/concierge/cli/commands/prepare.py",
"limit": 25
}{
"file_path": "/home/ubuntu/concierge-py/src/concierge/cli/commands/restore.py",
"limit": 25
}{
"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>
Good, now let me update these three CLI command files and then read the last file (config/loader.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__)
"""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__)
"""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__)
{
"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>
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.
"""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 = "",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:
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",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:
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
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.
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.
Great! There's a .venv directory. I should activate it and then install the dependencies. Let me activate the virtual environment and install.
source .venv/bin/activate && pip install -e .
The venv doesn't have pip. Let me check what's actually in the .venv/bin directory.
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
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.
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==0.0.1a34Perfect! 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:
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
Hmm, I saw ty in the ls output earlier. Let me check if it exists again or try using the full path.
Exit code 127 /bin/bash: line 1: /home/ubuntu/concierge-py/.venv/bin/ty: No such file or directory
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)
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:
uv sync --dev
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.
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.
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==0.0.1a34Great! Now ty, ruff, and pytest are installed. Let me try running the type checker now.
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 diagnosticThere'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.
"""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
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 messageExcellent! The type checker passed. Now let me mark this as completed and run the linter.
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.The linter is suggesting using a ternary operator instead of the if-else block. Let me fix this.
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→Perfect! The linter passed. Now let me mark this as completed and run the formatter.
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
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.
{
"pattern": "import 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
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.
{
"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.
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:
I've successfully migrated the entire project from structlog to Python's standard library logging with rich enhancements. Here's what was done:
src/concierge/core/logging.py):StructuredLoggerAdapter classRichHandler for colored output, timestamps, and enhanced formattingPreserved the kwargs-based API for structured logging (e.g., logger.info("msg", key=value))
Updated 15 Source Files:
import structlog to from concierge.core.logging import get_loggerUpdated logger instantiation from structlog.get_logger() to get_logger(__name__)
Dependencies:
structlog>=24.1.0 from pyproject.tomlDependencies synced successfully with uv
Code Quality:
ty check)ruff check)ruff format)logger.info("Bootstrapping Juju", provider=provider.name())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.
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.
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(-)
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.
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
)"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
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:
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.