mirror of
https://github.com/basicmachines-co/basic-memory
synced 2026-06-21 13:47:35 +00:00
chore: Add fast feedback loop tooling (#538)
Signed-off-by: phernandez <paul@basicmachines.co>
This commit is contained in:
@@ -1,6 +1,7 @@
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*.py[cod]
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__pycache__/
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.pytest_cache/
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.testmondata*
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.coverage
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htmlcov/
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@@ -0,0 +1,408 @@
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# AGENTS.md - Basic Memory Project Guide
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## Project Overview
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Basic Memory is a local-first knowledge management system built on the Model Context Protocol (MCP). It enables
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bidirectional communication between LLMs (like Claude) and markdown files, creating a personal knowledge graph that can
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||||
be traversed using links between documents.
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||||
## CODEBASE DEVELOPMENT
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### Project information
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See the [README.md](README.md) file for a project overview.
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||||
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||||
### Build and Test Commands
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||||
|
||||
- Install: `just install` or `pip install -e ".[dev]"`
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||||
- Run all tests (SQLite + Postgres): `just test`
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||||
- Run all tests against SQLite: `just test-sqlite`
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- Run all tests against Postgres: `just test-postgres` (uses testcontainers)
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- Run unit tests (SQLite): `just test-unit-sqlite`
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||||
- Run unit tests (Postgres): `just test-unit-postgres`
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- Run integration tests (SQLite): `just test-int-sqlite`
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- Run integration tests (Postgres): `just test-int-postgres`
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- Run impacted tests: `just testmon` (pytest-testmon)
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- Run MCP smoke test: `just test-smoke`
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- Fast local loop: `just fast-check`
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- Local consistency check: `just doctor`
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- Generate HTML coverage: `just coverage`
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- Single test: `pytest tests/path/to/test_file.py::test_function_name`
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- Run benchmarks: `pytest test-int/test_sync_performance_benchmark.py -v -m "benchmark and not slow"`
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- Lint: `just lint` or `ruff check . --fix`
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- Type check: `just typecheck` or `uv run pyright`
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- Format: `just format` or `uv run ruff format .`
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||||
- Run all code checks: `just check` (runs lint, format, typecheck, test)
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- Create db migration: `just migration "Your migration message"`
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- Run development MCP Inspector: `just run-inspector`
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||||
|
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**Note:** Project requires Python 3.12+ (uses type parameter syntax and `type` aliases introduced in 3.12)
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**Postgres Testing:** Uses [testcontainers](https://testcontainers-python.readthedocs.io/) which automatically spins up a Postgres instance in Docker. No manual database setup required - just have Docker running.
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|
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**Doctor Note:** `just doctor` runs with a temporary HOME/config so it won't touch your local Basic Memory settings. It leaves temp dirs in `/tmp` (safe to ignore or remove).
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|
||||
**Testmon Note:** When no files have changed, `just testmon` may collect 0 tests. That's expected and means no impacted tests were detected.
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||||
|
||||
### Code/Test/Verify Loop (fast path)
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1) **Code:** make changes.
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2) **Test:** `just fast-check` (lint/format/typecheck + impacted tests + MCP smoke).
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3) **Verify:** `just doctor` (end-to-end file ↔ DB loop in a temp project).
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4) **Full gate (when needed):** `just test` or `just check` for SQLite + Postgres.
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If testmon is “cold,” the first run may be long. Subsequent runs get much faster.
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|
||||
### Test Structure
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- `tests/` - Unit tests for individual components (mocked, fast)
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- `test-int/` - Integration tests for real-world scenarios (no mocks, realistic)
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- Both directories are covered by unified coverage reporting
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- Benchmark tests in `test-int/` are marked with `@pytest.mark.benchmark`
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- Slow tests are marked with `@pytest.mark.slow`
|
||||
- Smoke tests are marked with `@pytest.mark.smoke`
|
||||
|
||||
### Code Style Guidelines
|
||||
|
||||
- Line length: 100 characters max
|
||||
- Python 3.12+ with full type annotations (uses type parameters and type aliases)
|
||||
- Format with ruff (consistent styling)
|
||||
- Import order: standard lib, third-party, local imports
|
||||
- Naming: snake_case for functions/variables, PascalCase for classes
|
||||
- Prefer async patterns with SQLAlchemy 2.0
|
||||
- Use Pydantic v2 for data validation and schemas
|
||||
- CLI uses Typer for command structure
|
||||
- API uses FastAPI for endpoints
|
||||
- Follow the repository pattern for data access
|
||||
- Tools communicate to api routers via the httpx ASGI client (in process)
|
||||
|
||||
### Code Change Guidelines
|
||||
|
||||
- **Full file read before edits**: Before editing any file, read it in full first to ensure complete context; partial reads lead to corrupted edits
|
||||
- **Minimize diffs**: Prefer the smallest change that satisfies the request. Avoid unrelated refactors or style rewrites unless necessary for correctness
|
||||
- **No speculative getattr**: Never use `getattr(obj, "attr", default)` when unsure about attribute names. Check the class definition or source code first
|
||||
- **Fail fast**: Write code with fail-fast logic by default. Do not swallow exceptions with errors or warnings
|
||||
- **No fallback logic**: Do not add fallback logic unless explicitly told to and agreed with the user
|
||||
- **No guessing**: Do not say "The issue is..." before you actually know what the issue is. Investigate first.
|
||||
|
||||
### Literate Programming Style
|
||||
|
||||
Code should tell a story. Comments must explain the "why" and narrative flow, not just the "what".
|
||||
|
||||
**Section Headers:**
|
||||
For files with multiple phases of logic, add section headers so the control flow reads like chapters:
|
||||
```python
|
||||
# --- Authentication ---
|
||||
# ... auth logic ...
|
||||
|
||||
# --- Data Validation ---
|
||||
# ... validation logic ...
|
||||
|
||||
# --- Business Logic ---
|
||||
# ... core logic ...
|
||||
```
|
||||
|
||||
**Decision Point Comments:**
|
||||
For conditionals that materially change behavior (gates, fallbacks, retries, feature flags), add comments with:
|
||||
- **Trigger**: what condition causes this branch
|
||||
- **Why**: the rationale (cost, correctness, UX, determinism)
|
||||
- **Outcome**: what changes downstream
|
||||
|
||||
```python
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# Trigger: project has no active sync watcher
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# Why: avoid duplicate file system watchers consuming resources
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||||
# Outcome: starts new watcher, registers in active_watchers dict
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if project_id not in active_watchers:
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start_watcher(project_id)
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||||
```
|
||||
|
||||
**Constraint Comments:**
|
||||
If code exists because of a constraint (async requirements, rate limits, schema compatibility), explain the constraint near the code:
|
||||
```python
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# SQLite requires WAL mode for concurrent read/write access
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connection.execute("PRAGMA journal_mode=WAL")
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```
|
||||
|
||||
**What NOT to Comment:**
|
||||
Avoid comments that restate obvious code:
|
||||
```python
|
||||
# Bad - restates code
|
||||
counter += 1 # increment counter
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||||
|
||||
# Good - explains why
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||||
counter += 1 # track retries for backoff calculation
|
||||
```
|
||||
|
||||
### Codebase Architecture
|
||||
|
||||
See [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md) for detailed architecture documentation.
|
||||
|
||||
**Directory Structure:**
|
||||
- `/alembic` - Alembic db migrations
|
||||
- `/api` - FastAPI REST endpoints + `container.py` composition root
|
||||
- `/cli` - Typer CLI + `container.py` composition root
|
||||
- `/deps` - Feature-scoped FastAPI dependencies (config, db, projects, repositories, services, importers)
|
||||
- `/importers` - Import functionality for Claude, ChatGPT, and other sources
|
||||
- `/markdown` - Markdown parsing and processing
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||||
- `/mcp` - MCP server + `container.py` composition root + `clients/` typed API clients
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||||
- `/models` - SQLAlchemy ORM models
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||||
- `/repository` - Data access layer
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||||
- `/schemas` - Pydantic models for validation
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||||
- `/services` - Business logic layer
|
||||
- `/sync` - File synchronization services + `coordinator.py` for lifecycle management
|
||||
|
||||
**Composition Roots:**
|
||||
Each entrypoint (API, MCP, CLI) has a composition root that:
|
||||
- Reads `ConfigManager` (the only place that reads global config)
|
||||
- Resolves runtime mode via `RuntimeMode` enum (TEST > CLOUD > LOCAL)
|
||||
- Provides dependencies to downstream code explicitly
|
||||
|
||||
**Typed API Clients (MCP):**
|
||||
MCP tools use typed clients in `mcp/clients/` to communicate with the API:
|
||||
- `KnowledgeClient` - Entity CRUD operations
|
||||
- `SearchClient` - Search operations
|
||||
- `MemoryClient` - Context building
|
||||
- `DirectoryClient` - Directory listing
|
||||
- `ResourceClient` - Resource reading
|
||||
- `ProjectClient` - Project management
|
||||
|
||||
Flow: MCP Tool → Typed Client → HTTP API → Router → Service → Repository
|
||||
|
||||
### Development Notes
|
||||
|
||||
- MCP tools are defined in src/basic_memory/mcp/tools/
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||||
- MCP prompts are defined in src/basic_memory/mcp/prompts/
|
||||
- MCP tools should be atomic, composable operations
|
||||
- Use `textwrap.dedent()` for multi-line string formatting in prompts and tools
|
||||
- MCP Prompts are used to invoke tools and format content with instructions for an LLM
|
||||
- Schema changes require Alembic migrations
|
||||
- SQLite is used for indexing and full text search, files are source of truth
|
||||
- Testing uses pytest with asyncio support (strict mode)
|
||||
- Unit tests (`tests/`) use mocks when necessary; integration tests (`test-int/`) use real implementations
|
||||
- By default, tests run against SQLite (fast, no Docker needed)
|
||||
- Set `BASIC_MEMORY_TEST_POSTGRES=1` to run against Postgres (uses testcontainers - Docker required)
|
||||
- Each test runs in a standalone environment with isolated database and tmp_path directory
|
||||
- CI runs SQLite and Postgres tests in parallel for faster feedback
|
||||
- Performance benchmarks are in `test-int/test_sync_performance_benchmark.py`
|
||||
- Use pytest markers: `@pytest.mark.benchmark` for benchmarks, `@pytest.mark.slow` for slow tests
|
||||
- **Coverage must stay at 100%**: Write tests for new code. Only use `# pragma: no cover` when tests would require excessive mocking (e.g., TYPE_CHECKING blocks, error handlers that need failure injection, runtime-mode-dependent code paths)
|
||||
|
||||
### Async Client Pattern (Important!)
|
||||
|
||||
**All MCP tools and CLI commands use the context manager pattern for HTTP clients:**
|
||||
|
||||
```python
|
||||
from basic_memory.mcp.async_client import get_client
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||||
|
||||
async def my_mcp_tool():
|
||||
async with get_client() as client:
|
||||
# Use client for API calls
|
||||
response = await call_get(client, "/path")
|
||||
return response
|
||||
```
|
||||
|
||||
**Do NOT use:**
|
||||
- ❌ `from basic_memory.mcp.async_client import client` (deprecated module-level client)
|
||||
- ❌ Manual auth header management
|
||||
- ❌ `inject_auth_header()` (deleted)
|
||||
|
||||
**Key principles:**
|
||||
- Auth happens at client creation, not per-request
|
||||
- Proper resource management via context managers
|
||||
- Supports three modes: Local (ASGI), CLI cloud (HTTP + auth), Cloud app (factory injection)
|
||||
- Factory pattern enables dependency injection for cloud consolidation
|
||||
|
||||
**For cloud app integration:**
|
||||
```python
|
||||
from basic_memory.mcp import async_client
|
||||
|
||||
# Set custom factory before importing tools
|
||||
async_client.set_client_factory(your_custom_factory)
|
||||
```
|
||||
|
||||
See SPEC-16 for full context manager refactor details.
|
||||
|
||||
## BASIC MEMORY PRODUCT USAGE
|
||||
|
||||
### Knowledge Structure
|
||||
|
||||
- Entity: Any concept, document, or idea represented as a markdown file
|
||||
- Observation: A categorized fact about an entity (`- [category] content`)
|
||||
- Relation: A directional link between entities (`- relation_type [[Target]]`)
|
||||
- Frontmatter: YAML metadata at the top of markdown files
|
||||
- Knowledge representation follows precise markdown format:
|
||||
- Observations with [category] prefixes
|
||||
- Relations with WikiLinks [[Entity]]
|
||||
- Frontmatter with metadata
|
||||
|
||||
### Basic Memory Commands
|
||||
|
||||
**Local Commands:**
|
||||
- Check sync status: `basic-memory status`
|
||||
- Doctor check (file <-> DB loop): `basic-memory doctor`
|
||||
- Import from Claude: `basic-memory import claude conversations`
|
||||
- Import from ChatGPT: `basic-memory import chatgpt`
|
||||
- Import from Memory JSON: `basic-memory import memory-json`
|
||||
- Tool access: `basic-memory tool` (provides CLI access to MCP tools)
|
||||
- Continue: `basic-memory tool continue-conversation --topic="search"`
|
||||
|
||||
**Project Management:**
|
||||
- List projects: `basic-memory project list`
|
||||
- Add project: `basic-memory project add "name" ~/path`
|
||||
- Project info: `basic-memory project info`
|
||||
- One-way sync (local -> cloud): `basic-memory project sync`
|
||||
- Bidirectional sync: `basic-memory project bisync`
|
||||
- Integrity check: `basic-memory project check`
|
||||
|
||||
**Cloud Commands (requires subscription):**
|
||||
- Authenticate: `basic-memory cloud login`
|
||||
- Logout: `basic-memory cloud logout`
|
||||
- Check cloud status: `basic-memory cloud status`
|
||||
- Setup cloud sync: `basic-memory cloud setup`
|
||||
- Manage snapshots: `basic-memory cloud snapshot [create|list|delete|show|browse]`
|
||||
- Restore from snapshot: `basic-memory cloud restore <path> --snapshot <id>`
|
||||
|
||||
### MCP Capabilities
|
||||
|
||||
- Basic Memory exposes these MCP tools to LLMs:
|
||||
|
||||
**Content Management:**
|
||||
- `write_note(title, content, directory, tags)` - Create/update markdown notes with semantic observations and relations
|
||||
- `read_note(identifier, page, page_size)` - Read notes by title, permalink, or memory:// URL with knowledge graph awareness
|
||||
- `read_content(path)` - Read raw file content (text, images, binaries) without knowledge graph processing
|
||||
- `view_note(identifier, page, page_size)` - View notes as formatted artifacts for better readability
|
||||
- `edit_note(identifier, operation, content)` - Edit notes incrementally (append, prepend, find/replace, replace_section)
|
||||
- `move_note(identifier, destination_path, is_directory)` - Move notes or directories to new locations, updating database and maintaining links
|
||||
- `delete_note(identifier, is_directory)` - Delete notes or directories from the knowledge base
|
||||
|
||||
**Knowledge Graph Navigation:**
|
||||
- `build_context(url, depth, timeframe)` - Navigate the knowledge graph via memory:// URLs for conversation continuity
|
||||
- `recent_activity(type, depth, timeframe)` - Get recently updated information with specified timeframe (e.g., "1d", "1 week")
|
||||
- `list_directory(dir_name, depth, file_name_glob)` - Browse directory contents with filtering and depth control
|
||||
|
||||
**Search & Discovery:**
|
||||
- `search_notes(query, page, page_size, search_type, types, entity_types, after_date)` - Full-text search across all content with advanced filtering options
|
||||
|
||||
**Project Management:**
|
||||
- `list_memory_projects()` - List all available projects with their status
|
||||
- `create_memory_project(project_name, project_path, set_default)` - Create new Basic Memory projects
|
||||
- `delete_project(project_name)` - Delete a project from configuration
|
||||
|
||||
**Visualization:**
|
||||
- `canvas(nodes, edges, title, directory)` - Generate Obsidian canvas files for knowledge graph visualization
|
||||
|
||||
**ChatGPT-Compatible Tools:**
|
||||
- `search(query)` - Search across knowledge base (OpenAI actions compatible)
|
||||
- `fetch(id)` - Fetch full content of a search result document
|
||||
|
||||
- MCP Prompts for better AI interaction:
|
||||
- `ai_assistant_guide()` - Guidance on effectively using Basic Memory tools for AI assistants
|
||||
- `continue_conversation(topic, timeframe)` - Continue previous conversations with relevant historical context
|
||||
- `search(query, after_date)` - Search with detailed, formatted results for better context understanding
|
||||
- `recent_activity(timeframe)` - View recently changed items with formatted output
|
||||
|
||||
### Cloud Features (v0.15.0+)
|
||||
|
||||
Basic Memory now supports cloud synchronization and storage (requires active subscription):
|
||||
|
||||
**Authentication:**
|
||||
- JWT-based authentication with subscription validation
|
||||
- Secure session management with token refresh
|
||||
- Support for multiple cloud projects
|
||||
|
||||
**Bidirectional Sync:**
|
||||
- rclone bisync integration for two-way synchronization
|
||||
- Conflict resolution and integrity verification
|
||||
- Real-time sync with change detection
|
||||
- Mount/unmount cloud storage for direct file access
|
||||
|
||||
**Cloud Project Management:**
|
||||
- Create and manage projects in the cloud
|
||||
- Toggle between local and cloud modes
|
||||
- Per-project sync configuration
|
||||
- Subscription-based access control
|
||||
|
||||
**Security & Performance:**
|
||||
- Removed .env file loading for improved security
|
||||
- .gitignore integration (respects gitignored files)
|
||||
- WAL mode for SQLite performance
|
||||
- Background relation resolution (non-blocking startup)
|
||||
- API performance optimizations (SPEC-11)
|
||||
|
||||
**CLI Routing Flags:**
|
||||
|
||||
When cloud mode is enabled, CLI commands route to the cloud API by default. Use `--local` and `--cloud` flags to override:
|
||||
|
||||
```bash
|
||||
# Force local routing (ignore cloud mode)
|
||||
basic-memory status --local
|
||||
basic-memory project list --local
|
||||
|
||||
# Force cloud routing (when cloud mode is disabled)
|
||||
basic-memory status --cloud
|
||||
basic-memory project info my-project --cloud
|
||||
```
|
||||
|
||||
Key behaviors:
|
||||
- The local MCP server (`basic-memory mcp`) automatically uses local routing
|
||||
- This allows simultaneous use of local Claude Desktop and cloud-based clients
|
||||
- Some commands (like `project default`, `project sync-config`, `project move`) require `--local` in cloud mode since they modify local configuration
|
||||
- Environment variable `BASIC_MEMORY_FORCE_LOCAL=true` forces local routing globally
|
||||
|
||||
## AI-Human Collaborative Development
|
||||
|
||||
Basic Memory emerged from and enables a new kind of development process that combines human and AI capabilities. Instead
|
||||
of using AI just for code generation, we've developed a true collaborative workflow:
|
||||
|
||||
1. AI (LLM) writes initial implementation based on specifications and context
|
||||
2. Human reviews, runs tests, and commits code with any necessary adjustments
|
||||
3. Knowledge persists across conversations using Basic Memory's knowledge graph
|
||||
4. Development continues seamlessly across different AI sessions with consistent context
|
||||
5. Results improve through iterative collaboration and shared understanding
|
||||
|
||||
This approach has allowed us to tackle more complex challenges and build a more robust system than either humans or AI
|
||||
could achieve independently.
|
||||
|
||||
**Problem-Solving Guidance:**
|
||||
- If a solution isn't working after reasonable effort, suggest alternative approaches
|
||||
- Don't persist with a problematic library or pattern when better alternatives exist
|
||||
- Example: When py-pglite caused cascading test failures, switching to testcontainers-postgres was the right call
|
||||
|
||||
## GitHub Integration
|
||||
|
||||
Basic Memory has taken AI-Human collaboration to the next level by integrating Claude directly into the development workflow through GitHub:
|
||||
|
||||
### GitHub MCP Tools
|
||||
|
||||
Using the GitHub Model Context Protocol server, Claude can now:
|
||||
|
||||
- **Repository Management**:
|
||||
- View repository files and structure
|
||||
- Read file contents
|
||||
- Create new branches
|
||||
- Create and update files
|
||||
|
||||
- **Issue Management**:
|
||||
- Create new issues
|
||||
- Comment on existing issues
|
||||
- Close and update issues
|
||||
- Search across issues
|
||||
|
||||
- **Pull Request Workflow**:
|
||||
- Create pull requests
|
||||
- Review code changes
|
||||
- Add comments to PRs
|
||||
|
||||
This integration enables Claude to participate as a full team member in the development process, not just as a code generation tool. Claude's GitHub account ([bm-claudeai](https://github.com/bm-claudeai)) is a member of the Basic Machines organization with direct contributor access to the codebase.
|
||||
|
||||
### Collaborative Development Process
|
||||
|
||||
With GitHub integration, the development workflow includes:
|
||||
|
||||
1. **Direct code review** - Claude can analyze PRs and provide detailed feedback
|
||||
2. **Contribution tracking** - All of Claude's contributions are properly attributed in the Git history
|
||||
3. **Branch management** - Claude can create feature branches for implementations
|
||||
4. **Documentation maintenance** - Claude can keep documentation updated as the code evolves
|
||||
5. **Code Commits**: ALWAYS sign off commits with `git commit -s`
|
||||
|
||||
This level of integration represents a new paradigm in AI-human collaboration, where the AI assistant becomes a full-fledged team member rather than just a tool for generating code snippets.
|
||||
@@ -1,389 +0,0 @@
|
||||
# CLAUDE.md - Basic Memory Project Guide
|
||||
|
||||
## Project Overview
|
||||
|
||||
Basic Memory is a local-first knowledge management system built on the Model Context Protocol (MCP). It enables
|
||||
bidirectional communication between LLMs (like Claude) and markdown files, creating a personal knowledge graph that can
|
||||
be traversed using links between documents.
|
||||
|
||||
## CODEBASE DEVELOPMENT
|
||||
|
||||
### Project information
|
||||
|
||||
See the [README.md](README.md) file for a project overview.
|
||||
|
||||
### Build and Test Commands
|
||||
|
||||
- Install: `just install` or `pip install -e ".[dev]"`
|
||||
- Run all tests (SQLite + Postgres): `just test`
|
||||
- Run all tests against SQLite: `just test-sqlite`
|
||||
- Run all tests against Postgres: `just test-postgres` (uses testcontainers)
|
||||
- Run unit tests (SQLite): `just test-unit-sqlite`
|
||||
- Run unit tests (Postgres): `just test-unit-postgres`
|
||||
- Run integration tests (SQLite): `just test-int-sqlite`
|
||||
- Run integration tests (Postgres): `just test-int-postgres`
|
||||
- Generate HTML coverage: `just coverage`
|
||||
- Single test: `pytest tests/path/to/test_file.py::test_function_name`
|
||||
- Run benchmarks: `pytest test-int/test_sync_performance_benchmark.py -v -m "benchmark and not slow"`
|
||||
- Lint: `just lint` or `ruff check . --fix`
|
||||
- Type check: `just typecheck` or `uv run pyright`
|
||||
- Format: `just format` or `uv run ruff format .`
|
||||
- Run all code checks: `just check` (runs lint, format, typecheck, test)
|
||||
- Create db migration: `just migration "Your migration message"`
|
||||
- Run development MCP Inspector: `just run-inspector`
|
||||
|
||||
**Note:** Project requires Python 3.12+ (uses type parameter syntax and `type` aliases introduced in 3.12)
|
||||
|
||||
**Postgres Testing:** Uses [testcontainers](https://testcontainers-python.readthedocs.io/) which automatically spins up a Postgres instance in Docker. No manual database setup required - just have Docker running.
|
||||
|
||||
### Test Structure
|
||||
|
||||
- `tests/` - Unit tests for individual components (mocked, fast)
|
||||
- `test-int/` - Integration tests for real-world scenarios (no mocks, realistic)
|
||||
- Both directories are covered by unified coverage reporting
|
||||
- Benchmark tests in `test-int/` are marked with `@pytest.mark.benchmark`
|
||||
- Slow tests are marked with `@pytest.mark.slow`
|
||||
|
||||
### Code Style Guidelines
|
||||
|
||||
- Line length: 100 characters max
|
||||
- Python 3.12+ with full type annotations (uses type parameters and type aliases)
|
||||
- Format with ruff (consistent styling)
|
||||
- Import order: standard lib, third-party, local imports
|
||||
- Naming: snake_case for functions/variables, PascalCase for classes
|
||||
- Prefer async patterns with SQLAlchemy 2.0
|
||||
- Use Pydantic v2 for data validation and schemas
|
||||
- CLI uses Typer for command structure
|
||||
- API uses FastAPI for endpoints
|
||||
- Follow the repository pattern for data access
|
||||
- Tools communicate to api routers via the httpx ASGI client (in process)
|
||||
|
||||
### Code Change Guidelines
|
||||
|
||||
- **Full file read before edits**: Before editing any file, read it in full first to ensure complete context; partial reads lead to corrupted edits
|
||||
- **Minimize diffs**: Prefer the smallest change that satisfies the request. Avoid unrelated refactors or style rewrites unless necessary for correctness
|
||||
- **No speculative getattr**: Never use `getattr(obj, "attr", default)` when unsure about attribute names. Check the class definition or source code first
|
||||
- **Fail fast**: Write code with fail-fast logic by default. Do not swallow exceptions with errors or warnings
|
||||
- **No fallback logic**: Do not add fallback logic unless explicitly told to and agreed with the user
|
||||
- **No guessing**: Do not say "The issue is..." before you actually know what the issue is. Investigate first.
|
||||
|
||||
### Literate Programming Style
|
||||
|
||||
Code should tell a story. Comments must explain the "why" and narrative flow, not just the "what".
|
||||
|
||||
**Section Headers:**
|
||||
For files with multiple phases of logic, add section headers so the control flow reads like chapters:
|
||||
```python
|
||||
# --- Authentication ---
|
||||
# ... auth logic ...
|
||||
|
||||
# --- Data Validation ---
|
||||
# ... validation logic ...
|
||||
|
||||
# --- Business Logic ---
|
||||
# ... core logic ...
|
||||
```
|
||||
|
||||
**Decision Point Comments:**
|
||||
For conditionals that materially change behavior (gates, fallbacks, retries, feature flags), add comments with:
|
||||
- **Trigger**: what condition causes this branch
|
||||
- **Why**: the rationale (cost, correctness, UX, determinism)
|
||||
- **Outcome**: what changes downstream
|
||||
|
||||
```python
|
||||
# Trigger: project has no active sync watcher
|
||||
# Why: avoid duplicate file system watchers consuming resources
|
||||
# Outcome: starts new watcher, registers in active_watchers dict
|
||||
if project_id not in active_watchers:
|
||||
start_watcher(project_id)
|
||||
```
|
||||
|
||||
**Constraint Comments:**
|
||||
If code exists because of a constraint (async requirements, rate limits, schema compatibility), explain the constraint near the code:
|
||||
```python
|
||||
# SQLite requires WAL mode for concurrent read/write access
|
||||
connection.execute("PRAGMA journal_mode=WAL")
|
||||
```
|
||||
|
||||
**What NOT to Comment:**
|
||||
Avoid comments that restate obvious code:
|
||||
```python
|
||||
# Bad - restates code
|
||||
counter += 1 # increment counter
|
||||
|
||||
# Good - explains why
|
||||
counter += 1 # track retries for backoff calculation
|
||||
```
|
||||
|
||||
### Codebase Architecture
|
||||
|
||||
See [docs/ARCHITECTURE.md](docs/ARCHITECTURE.md) for detailed architecture documentation.
|
||||
|
||||
**Directory Structure:**
|
||||
- `/alembic` - Alembic db migrations
|
||||
- `/api` - FastAPI REST endpoints + `container.py` composition root
|
||||
- `/cli` - Typer CLI + `container.py` composition root
|
||||
- `/deps` - Feature-scoped FastAPI dependencies (config, db, projects, repositories, services, importers)
|
||||
- `/importers` - Import functionality for Claude, ChatGPT, and other sources
|
||||
- `/markdown` - Markdown parsing and processing
|
||||
- `/mcp` - MCP server + `container.py` composition root + `clients/` typed API clients
|
||||
- `/models` - SQLAlchemy ORM models
|
||||
- `/repository` - Data access layer
|
||||
- `/schemas` - Pydantic models for validation
|
||||
- `/services` - Business logic layer
|
||||
- `/sync` - File synchronization services + `coordinator.py` for lifecycle management
|
||||
|
||||
**Composition Roots:**
|
||||
Each entrypoint (API, MCP, CLI) has a composition root that:
|
||||
- Reads `ConfigManager` (the only place that reads global config)
|
||||
- Resolves runtime mode via `RuntimeMode` enum (TEST > CLOUD > LOCAL)
|
||||
- Provides dependencies to downstream code explicitly
|
||||
|
||||
**Typed API Clients (MCP):**
|
||||
MCP tools use typed clients in `mcp/clients/` to communicate with the API:
|
||||
- `KnowledgeClient` - Entity CRUD operations
|
||||
- `SearchClient` - Search operations
|
||||
- `MemoryClient` - Context building
|
||||
- `DirectoryClient` - Directory listing
|
||||
- `ResourceClient` - Resource reading
|
||||
- `ProjectClient` - Project management
|
||||
|
||||
Flow: MCP Tool → Typed Client → HTTP API → Router → Service → Repository
|
||||
|
||||
### Development Notes
|
||||
|
||||
- MCP tools are defined in src/basic_memory/mcp/tools/
|
||||
- MCP prompts are defined in src/basic_memory/mcp/prompts/
|
||||
- MCP tools should be atomic, composable operations
|
||||
- Use `textwrap.dedent()` for multi-line string formatting in prompts and tools
|
||||
- MCP Prompts are used to invoke tools and format content with instructions for an LLM
|
||||
- Schema changes require Alembic migrations
|
||||
- SQLite is used for indexing and full text search, files are source of truth
|
||||
- Testing uses pytest with asyncio support (strict mode)
|
||||
- Unit tests (`tests/`) use mocks when necessary; integration tests (`test-int/`) use real implementations
|
||||
- By default, tests run against SQLite (fast, no Docker needed)
|
||||
- Set `BASIC_MEMORY_TEST_POSTGRES=1` to run against Postgres (uses testcontainers - Docker required)
|
||||
- Each test runs in a standalone environment with isolated database and tmp_path directory
|
||||
- CI runs SQLite and Postgres tests in parallel for faster feedback
|
||||
- Performance benchmarks are in `test-int/test_sync_performance_benchmark.py`
|
||||
- Use pytest markers: `@pytest.mark.benchmark` for benchmarks, `@pytest.mark.slow` for slow tests
|
||||
- **Coverage must stay at 100%**: Write tests for new code. Only use `# pragma: no cover` when tests would require excessive mocking (e.g., TYPE_CHECKING blocks, error handlers that need failure injection, runtime-mode-dependent code paths)
|
||||
|
||||
### Async Client Pattern (Important!)
|
||||
|
||||
**All MCP tools and CLI commands use the context manager pattern for HTTP clients:**
|
||||
|
||||
```python
|
||||
from basic_memory.mcp.async_client import get_client
|
||||
|
||||
async def my_mcp_tool():
|
||||
async with get_client() as client:
|
||||
# Use client for API calls
|
||||
response = await call_get(client, "/path")
|
||||
return response
|
||||
```
|
||||
|
||||
**Do NOT use:**
|
||||
- ❌ `from basic_memory.mcp.async_client import client` (deprecated module-level client)
|
||||
- ❌ Manual auth header management
|
||||
- ❌ `inject_auth_header()` (deleted)
|
||||
|
||||
**Key principles:**
|
||||
- Auth happens at client creation, not per-request
|
||||
- Proper resource management via context managers
|
||||
- Supports three modes: Local (ASGI), CLI cloud (HTTP + auth), Cloud app (factory injection)
|
||||
- Factory pattern enables dependency injection for cloud consolidation
|
||||
|
||||
**For cloud app integration:**
|
||||
```python
|
||||
from basic_memory.mcp import async_client
|
||||
|
||||
# Set custom factory before importing tools
|
||||
async_client.set_client_factory(your_custom_factory)
|
||||
```
|
||||
|
||||
See SPEC-16 for full context manager refactor details.
|
||||
|
||||
## BASIC MEMORY PRODUCT USAGE
|
||||
|
||||
### Knowledge Structure
|
||||
|
||||
- Entity: Any concept, document, or idea represented as a markdown file
|
||||
- Observation: A categorized fact about an entity (`- [category] content`)
|
||||
- Relation: A directional link between entities (`- relation_type [[Target]]`)
|
||||
- Frontmatter: YAML metadata at the top of markdown files
|
||||
- Knowledge representation follows precise markdown format:
|
||||
- Observations with [category] prefixes
|
||||
- Relations with WikiLinks [[Entity]]
|
||||
- Frontmatter with metadata
|
||||
|
||||
### Basic Memory Commands
|
||||
|
||||
**Local Commands:**
|
||||
- Check sync status: `basic-memory status`
|
||||
- Import from Claude: `basic-memory import claude conversations`
|
||||
- Import from ChatGPT: `basic-memory import chatgpt`
|
||||
- Import from Memory JSON: `basic-memory import memory-json`
|
||||
- Tool access: `basic-memory tool` (provides CLI access to MCP tools)
|
||||
- Continue: `basic-memory tool continue-conversation --topic="search"`
|
||||
|
||||
**Project Management:**
|
||||
- List projects: `basic-memory project list`
|
||||
- Add project: `basic-memory project add "name" ~/path`
|
||||
- Project info: `basic-memory project info`
|
||||
- One-way sync (local -> cloud): `basic-memory project sync`
|
||||
- Bidirectional sync: `basic-memory project bisync`
|
||||
- Integrity check: `basic-memory project check`
|
||||
|
||||
**Cloud Commands (requires subscription):**
|
||||
- Authenticate: `basic-memory cloud login`
|
||||
- Logout: `basic-memory cloud logout`
|
||||
- Check cloud status: `basic-memory cloud status`
|
||||
- Setup cloud sync: `basic-memory cloud setup`
|
||||
- Manage snapshots: `basic-memory cloud snapshot [create|list|delete|show|browse]`
|
||||
- Restore from snapshot: `basic-memory cloud restore <path> --snapshot <id>`
|
||||
|
||||
### MCP Capabilities
|
||||
|
||||
- Basic Memory exposes these MCP tools to LLMs:
|
||||
|
||||
**Content Management:**
|
||||
- `write_note(title, content, directory, tags)` - Create/update markdown notes with semantic observations and relations
|
||||
- `read_note(identifier, page, page_size)` - Read notes by title, permalink, or memory:// URL with knowledge graph awareness
|
||||
- `read_content(path)` - Read raw file content (text, images, binaries) without knowledge graph processing
|
||||
- `view_note(identifier, page, page_size)` - View notes as formatted artifacts for better readability
|
||||
- `edit_note(identifier, operation, content)` - Edit notes incrementally (append, prepend, find/replace, replace_section)
|
||||
- `move_note(identifier, destination_path, is_directory)` - Move notes or directories to new locations, updating database and maintaining links
|
||||
- `delete_note(identifier, is_directory)` - Delete notes or directories from the knowledge base
|
||||
|
||||
**Knowledge Graph Navigation:**
|
||||
- `build_context(url, depth, timeframe)` - Navigate the knowledge graph via memory:// URLs for conversation continuity
|
||||
- `recent_activity(type, depth, timeframe)` - Get recently updated information with specified timeframe (e.g., "1d", "1 week")
|
||||
- `list_directory(dir_name, depth, file_name_glob)` - Browse directory contents with filtering and depth control
|
||||
|
||||
**Search & Discovery:**
|
||||
- `search_notes(query, page, page_size, search_type, types, entity_types, after_date)` - Full-text search across all content with advanced filtering options
|
||||
|
||||
**Project Management:**
|
||||
- `list_memory_projects()` - List all available projects with their status
|
||||
- `create_memory_project(project_name, project_path, set_default)` - Create new Basic Memory projects
|
||||
- `delete_project(project_name)` - Delete a project from configuration
|
||||
|
||||
**Visualization:**
|
||||
- `canvas(nodes, edges, title, directory)` - Generate Obsidian canvas files for knowledge graph visualization
|
||||
|
||||
**ChatGPT-Compatible Tools:**
|
||||
- `search(query)` - Search across knowledge base (OpenAI actions compatible)
|
||||
- `fetch(id)` - Fetch full content of a search result document
|
||||
|
||||
- MCP Prompts for better AI interaction:
|
||||
- `ai_assistant_guide()` - Guidance on effectively using Basic Memory tools for AI assistants
|
||||
- `continue_conversation(topic, timeframe)` - Continue previous conversations with relevant historical context
|
||||
- `search(query, after_date)` - Search with detailed, formatted results for better context understanding
|
||||
- `recent_activity(timeframe)` - View recently changed items with formatted output
|
||||
|
||||
### Cloud Features (v0.15.0+)
|
||||
|
||||
Basic Memory now supports cloud synchronization and storage (requires active subscription):
|
||||
|
||||
**Authentication:**
|
||||
- JWT-based authentication with subscription validation
|
||||
- Secure session management with token refresh
|
||||
- Support for multiple cloud projects
|
||||
|
||||
**Bidirectional Sync:**
|
||||
- rclone bisync integration for two-way synchronization
|
||||
- Conflict resolution and integrity verification
|
||||
- Real-time sync with change detection
|
||||
- Mount/unmount cloud storage for direct file access
|
||||
|
||||
**Cloud Project Management:**
|
||||
- Create and manage projects in the cloud
|
||||
- Toggle between local and cloud modes
|
||||
- Per-project sync configuration
|
||||
- Subscription-based access control
|
||||
|
||||
**Security & Performance:**
|
||||
- Removed .env file loading for improved security
|
||||
- .gitignore integration (respects gitignored files)
|
||||
- WAL mode for SQLite performance
|
||||
- Background relation resolution (non-blocking startup)
|
||||
- API performance optimizations (SPEC-11)
|
||||
|
||||
**CLI Routing Flags:**
|
||||
|
||||
When cloud mode is enabled, CLI commands route to the cloud API by default. Use `--local` and `--cloud` flags to override:
|
||||
|
||||
```bash
|
||||
# Force local routing (ignore cloud mode)
|
||||
basic-memory status --local
|
||||
basic-memory project list --local
|
||||
|
||||
# Force cloud routing (when cloud mode is disabled)
|
||||
basic-memory status --cloud
|
||||
basic-memory project info my-project --cloud
|
||||
```
|
||||
|
||||
Key behaviors:
|
||||
- The local MCP server (`basic-memory mcp`) automatically uses local routing
|
||||
- This allows simultaneous use of local Claude Desktop and cloud-based clients
|
||||
- Some commands (like `project default`, `project sync-config`, `project move`) require `--local` in cloud mode since they modify local configuration
|
||||
- Environment variable `BASIC_MEMORY_FORCE_LOCAL=true` forces local routing globally
|
||||
|
||||
## AI-Human Collaborative Development
|
||||
|
||||
Basic Memory emerged from and enables a new kind of development process that combines human and AI capabilities. Instead
|
||||
of using AI just for code generation, we've developed a true collaborative workflow:
|
||||
|
||||
1. AI (LLM) writes initial implementation based on specifications and context
|
||||
2. Human reviews, runs tests, and commits code with any necessary adjustments
|
||||
3. Knowledge persists across conversations using Basic Memory's knowledge graph
|
||||
4. Development continues seamlessly across different AI sessions with consistent context
|
||||
5. Results improve through iterative collaboration and shared understanding
|
||||
|
||||
This approach has allowed us to tackle more complex challenges and build a more robust system than either humans or AI
|
||||
could achieve independently.
|
||||
|
||||
**Problem-Solving Guidance:**
|
||||
- If a solution isn't working after reasonable effort, suggest alternative approaches
|
||||
- Don't persist with a problematic library or pattern when better alternatives exist
|
||||
- Example: When py-pglite caused cascading test failures, switching to testcontainers-postgres was the right call
|
||||
|
||||
## GitHub Integration
|
||||
|
||||
Basic Memory has taken AI-Human collaboration to the next level by integrating Claude directly into the development workflow through GitHub:
|
||||
|
||||
### GitHub MCP Tools
|
||||
|
||||
Using the GitHub Model Context Protocol server, Claude can now:
|
||||
|
||||
- **Repository Management**:
|
||||
- View repository files and structure
|
||||
- Read file contents
|
||||
- Create new branches
|
||||
- Create and update files
|
||||
|
||||
- **Issue Management**:
|
||||
- Create new issues
|
||||
- Comment on existing issues
|
||||
- Close and update issues
|
||||
- Search across issues
|
||||
|
||||
- **Pull Request Workflow**:
|
||||
- Create pull requests
|
||||
- Review code changes
|
||||
- Add comments to PRs
|
||||
|
||||
This integration enables Claude to participate as a full team member in the development process, not just as a code generation tool. Claude's GitHub account ([bm-claudeai](https://github.com/bm-claudeai)) is a member of the Basic Machines organization with direct contributor access to the codebase.
|
||||
|
||||
### Collaborative Development Process
|
||||
|
||||
With GitHub integration, the development workflow includes:
|
||||
|
||||
1. **Direct code review** - Claude can analyze PRs and provide detailed feedback
|
||||
2. **Contribution tracking** - All of Claude's contributions are properly attributed in the Git history
|
||||
3. **Branch management** - Claude can create feature branches for implementations
|
||||
4. **Documentation maintenance** - Claude can keep documentation updated as the code evolves
|
||||
5. **Code Commits**: ALWAYS sign off commits with `git commit -s`
|
||||
|
||||
This level of integration represents a new paradigm in AI-human collaboration, where the AI assistant becomes a full-fledged team member rather than just a tool for generating code snippets.
|
||||
@@ -496,16 +496,23 @@ just test
|
||||
- `just test-int-postgres` - Run integration tests against Postgres
|
||||
- `just test-windows` - Run Windows-specific tests (auto-skips on other platforms)
|
||||
- `just test-benchmark` - Run performance benchmark tests
|
||||
- `just testmon` - Run tests impacted by recent changes (pytest-testmon)
|
||||
- `just test-smoke` - Run fast MCP end-to-end smoke test
|
||||
- `just fast-check` - Run fix/format/typecheck + impacted tests + smoke test
|
||||
- `just doctor` - Run local file <-> DB consistency checks with temp config
|
||||
|
||||
**Postgres Testing:**
|
||||
|
||||
Postgres tests use [testcontainers](https://testcontainers-python.readthedocs.io/) which automatically spins up a Postgres instance in Docker. No manual database setup required - just have Docker running.
|
||||
|
||||
**Testmon Note:** When no files have changed, `just testmon` may collect 0 tests. That's expected and means no impacted tests were detected.
|
||||
|
||||
**Test Markers:**
|
||||
|
||||
Tests use pytest markers for selective execution:
|
||||
- `windows` - Windows-specific database optimizations
|
||||
- `benchmark` - Performance tests (excluded from default runs)
|
||||
- `smoke` - Fast MCP end-to-end smoke tests
|
||||
|
||||
**Other Development Commands:**
|
||||
```bash
|
||||
@@ -513,10 +520,17 @@ just install # Install with dev dependencies
|
||||
just lint # Run linting checks
|
||||
just typecheck # Run type checking
|
||||
just format # Format code with ruff
|
||||
just fast-check # Fast local loop (fix/format/typecheck + testmon + smoke)
|
||||
just doctor # Local consistency check (temp config)
|
||||
just check # Run all quality checks
|
||||
just migration "msg" # Create database migration
|
||||
```
|
||||
|
||||
**Local Consistency Check:**
|
||||
```bash
|
||||
basic-memory doctor # Verifies file <-> database sync in a temp project
|
||||
```
|
||||
|
||||
See the [justfile](justfile) for the complete list of development commands.
|
||||
|
||||
## License
|
||||
|
||||
@@ -62,6 +62,22 @@ test-int-postgres:
|
||||
BASIC_MEMORY_TEST_POSTGRES=1 uv run pytest -p pytest_mock -v --no-cov test-int
|
||||
fi
|
||||
|
||||
# Run tests impacted by recent changes (requires pytest-testmon)
|
||||
testmon *args:
|
||||
BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov --testmon --testmon-forceselect {{args}}
|
||||
|
||||
# Run MCP smoke test (fast end-to-end loop)
|
||||
test-smoke:
|
||||
BASIC_MEMORY_ENV=test uv run pytest -p pytest_mock -v --no-cov -m smoke test-int/mcp/test_smoke_integration.py
|
||||
|
||||
# Fast local loop: lint, format, typecheck, impacted tests
|
||||
fast-check:
|
||||
just fix
|
||||
just format
|
||||
just typecheck
|
||||
just testmon
|
||||
just test-smoke
|
||||
|
||||
# Reset Postgres test database (drops and recreates schema)
|
||||
# Useful when Alembic migration state gets out of sync during development
|
||||
# Uses credentials from docker-compose-postgres.yml
|
||||
@@ -149,6 +165,18 @@ format:
|
||||
run-inspector:
|
||||
npx @modelcontextprotocol/inspector
|
||||
|
||||
# Run doctor checks in an isolated temp home/config
|
||||
doctor:
|
||||
#!/usr/bin/env bash
|
||||
set -euo pipefail
|
||||
TMP_HOME=$(mktemp -d)
|
||||
TMP_CONFIG=$(mktemp -d)
|
||||
HOME="$TMP_HOME" \
|
||||
BASIC_MEMORY_ENV=test \
|
||||
BASIC_MEMORY_HOME="$TMP_HOME/basic-memory" \
|
||||
BASIC_MEMORY_CONFIG_DIR="$TMP_CONFIG" \
|
||||
./.venv/bin/python -m basic_memory.cli.main doctor --local
|
||||
|
||||
|
||||
# Update all dependencies to latest versions
|
||||
update-deps:
|
||||
|
||||
@@ -71,6 +71,7 @@ markers = [
|
||||
"slow: Slow-running tests (deselect with '-m \"not slow\"')",
|
||||
"postgres: Tests that run against Postgres backend (deselect with '-m \"not postgres\"')",
|
||||
"windows: Windows-specific tests (deselect with '-m \"not windows\"')",
|
||||
"smoke: Fast end-to-end smoke tests for MCP flows",
|
||||
]
|
||||
|
||||
[tool.ruff]
|
||||
@@ -91,6 +92,7 @@ dev = [
|
||||
"testcontainers[postgres]>=4.0.0",
|
||||
"psycopg>=3.2.0",
|
||||
"pyright>=1.1.408",
|
||||
"pytest-testmon>=2.2.0",
|
||||
]
|
||||
|
||||
[tool.hatch.version]
|
||||
|
||||
@@ -50,7 +50,7 @@ def app_callback(
|
||||
# Skip for 'mcp' command - it has its own lifespan that handles initialization
|
||||
# Skip for API-using commands (status, sync, etc.) - they handle initialization via deps.py
|
||||
# Skip for 'reset' command - it manages its own database lifecycle
|
||||
skip_init_commands = {"mcp", "status", "sync", "project", "tool", "reset"}
|
||||
skip_init_commands = {"doctor", "mcp", "status", "sync", "project", "tool", "reset"}
|
||||
if (
|
||||
not version
|
||||
and ctx.invoked_subcommand is not None
|
||||
|
||||
@@ -1,11 +1,12 @@
|
||||
"""CLI commands for basic-memory."""
|
||||
|
||||
from . import status, db, import_memory_json, mcp, import_claude_conversations
|
||||
from . import status, db, doctor, import_memory_json, mcp, import_claude_conversations
|
||||
from . import import_claude_projects, import_chatgpt, tool, project, format
|
||||
|
||||
__all__ = [
|
||||
"status",
|
||||
"db",
|
||||
"doctor",
|
||||
"import_memory_json",
|
||||
"mcp",
|
||||
"import_claude_conversations",
|
||||
|
||||
@@ -0,0 +1,153 @@
|
||||
"""Doctor command for local consistency checks."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import tempfile
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
|
||||
from loguru import logger
|
||||
from mcp.server.fastmcp.exceptions import ToolError
|
||||
from rich.console import Console
|
||||
import typer
|
||||
|
||||
from basic_memory.cli.app import app
|
||||
from basic_memory.cli.commands.command_utils import run_with_cleanup
|
||||
from basic_memory.cli.commands.routing import force_routing, validate_routing_flags
|
||||
from basic_memory.markdown.entity_parser import EntityParser
|
||||
from basic_memory.markdown.markdown_processor import MarkdownProcessor
|
||||
from basic_memory.markdown.schemas import EntityFrontmatter, EntityMarkdown
|
||||
from basic_memory.mcp.async_client import get_client
|
||||
from basic_memory.mcp.clients import KnowledgeClient, ProjectClient, SearchClient
|
||||
from basic_memory.mcp.tools.utils import call_post
|
||||
from basic_memory.schemas.base import Entity
|
||||
from basic_memory.schemas.project_info import ProjectInfoRequest
|
||||
from basic_memory.schemas.search import SearchQuery
|
||||
from basic_memory.schemas import SyncReportResponse
|
||||
|
||||
console = Console()
|
||||
|
||||
|
||||
async def run_doctor() -> None:
|
||||
"""Run local consistency checks for file <-> database flows."""
|
||||
console.print("[blue]Running Basic Memory doctor checks...[/blue]")
|
||||
|
||||
project_name = f"doctor-{uuid.uuid4().hex[:8]}"
|
||||
api_note_title = "Doctor API Note"
|
||||
manual_note_title = "Doctor Manual Note"
|
||||
manual_permalink = "doctor/manual-note"
|
||||
|
||||
with tempfile.TemporaryDirectory() as temp_dir:
|
||||
temp_path = Path(temp_dir)
|
||||
|
||||
async with get_client() as client:
|
||||
project_client = ProjectClient(client)
|
||||
project_request = ProjectInfoRequest(
|
||||
name=project_name,
|
||||
path=str(temp_path),
|
||||
set_default=False,
|
||||
)
|
||||
|
||||
project_id: str | None = None
|
||||
|
||||
try:
|
||||
status = await project_client.create_project(project_request.model_dump())
|
||||
if not status.new_project:
|
||||
raise ValueError("Failed to create doctor project")
|
||||
project_id = status.new_project.external_id
|
||||
console.print(f"[green]OK[/green] Created doctor project: {project_name}")
|
||||
|
||||
# --- DB -> File: create an entity via API ---
|
||||
knowledge_client = KnowledgeClient(client, project_id)
|
||||
api_note = Entity(
|
||||
title=api_note_title,
|
||||
directory="doctor",
|
||||
entity_type="note",
|
||||
content_type="text/markdown",
|
||||
content=f"# {api_note_title}\n\n- [note] API to file check",
|
||||
entity_metadata={"tags": ["doctor"]},
|
||||
)
|
||||
api_result = await knowledge_client.create_entity(api_note.model_dump(), fast=False)
|
||||
|
||||
api_file = temp_path / api_result.file_path
|
||||
if not api_file.exists():
|
||||
raise ValueError(f"API note file missing: {api_result.file_path}")
|
||||
|
||||
api_text = api_file.read_text(encoding="utf-8")
|
||||
if api_note_title not in api_text:
|
||||
raise ValueError("API note content missing from file")
|
||||
|
||||
console.print("[green]OK[/green] API write created file")
|
||||
|
||||
# --- File -> DB: write markdown file directly, then sync ---
|
||||
parser = EntityParser(temp_path)
|
||||
processor = MarkdownProcessor(parser)
|
||||
manual_markdown = EntityMarkdown(
|
||||
frontmatter=EntityFrontmatter(
|
||||
metadata={
|
||||
"title": manual_note_title,
|
||||
"type": "note",
|
||||
"permalink": manual_permalink,
|
||||
"tags": ["doctor"],
|
||||
}
|
||||
),
|
||||
content=f"# {manual_note_title}\n\n- [note] File to DB check",
|
||||
)
|
||||
|
||||
manual_path = temp_path / "doctor" / "manual-note.md"
|
||||
await processor.write_file(manual_path, manual_markdown)
|
||||
console.print("[green]OK[/green] Manual file written")
|
||||
|
||||
sync_response = await call_post(
|
||||
client,
|
||||
f"/v2/projects/{project_id}/sync?force_full=true&run_in_background=false",
|
||||
)
|
||||
sync_report = SyncReportResponse.model_validate(sync_response.json())
|
||||
if sync_report.total == 0:
|
||||
raise ValueError("Sync did not detect any changes")
|
||||
|
||||
console.print("[green]OK[/green] Sync indexed manual file")
|
||||
|
||||
search_client = SearchClient(client, project_id)
|
||||
search_query = SearchQuery(title=manual_note_title)
|
||||
search_results = await search_client.search(
|
||||
search_query.model_dump(), page=1, page_size=5
|
||||
)
|
||||
if not any(result.title == manual_note_title for result in search_results.results):
|
||||
raise ValueError("Manual note not found in search index")
|
||||
|
||||
console.print("[green]OK[/green] Search confirmed manual file")
|
||||
|
||||
status_response = await call_post(client, f"/v2/projects/{project_id}/status")
|
||||
status_report = SyncReportResponse.model_validate(status_response.json())
|
||||
if status_report.total != 0:
|
||||
raise ValueError("Project status not clean after sync")
|
||||
|
||||
console.print("[green]OK[/green] Status clean after sync")
|
||||
|
||||
finally:
|
||||
if project_id:
|
||||
await project_client.delete_project(project_id)
|
||||
|
||||
console.print("[green]Doctor checks passed.[/green]")
|
||||
|
||||
|
||||
@app.command()
|
||||
def doctor(
|
||||
local: bool = typer.Option(
|
||||
False, "--local", help="Force local API routing (ignore cloud mode)"
|
||||
),
|
||||
cloud: bool = typer.Option(False, "--cloud", help="Force cloud API routing"),
|
||||
) -> None:
|
||||
"""Run local consistency checks to verify file/database sync."""
|
||||
try:
|
||||
validate_routing_flags(local, cloud)
|
||||
with force_routing(local=local, cloud=cloud):
|
||||
run_with_cleanup(run_doctor())
|
||||
except (ToolError, ValueError) as e:
|
||||
console.print(f"[red]Doctor failed: {e}[/red]")
|
||||
raise typer.Exit(code=1)
|
||||
except Exception as e:
|
||||
logger.error(f"Doctor failed: {e}")
|
||||
typer.echo(f"Doctor failed: {e}", err=True)
|
||||
raise typer.Exit(code=1) # pragma: no cover
|
||||
@@ -6,6 +6,7 @@ from basic_memory.cli.app import app # pragma: no cover
|
||||
from basic_memory.cli.commands import ( # noqa: F401 # pragma: no cover
|
||||
cloud,
|
||||
db,
|
||||
doctor,
|
||||
import_chatgpt,
|
||||
import_claude_conversations,
|
||||
import_claude_projects,
|
||||
|
||||
@@ -0,0 +1,55 @@
|
||||
"""Smoke test for MCP end-to-end flow."""
|
||||
|
||||
import pytest
|
||||
from fastmcp import Client
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.smoke
|
||||
async def test_mcp_smoke_flow(mcp_server, app, test_project):
|
||||
"""Verify write -> read -> search -> build_context works end-to-end."""
|
||||
|
||||
async with Client(mcp_server) as client:
|
||||
title = "Smoke Test Note"
|
||||
content = "# Smoke Test Note\n\n- [note] MCP smoke flow"
|
||||
|
||||
await client.call_tool(
|
||||
"write_note",
|
||||
{
|
||||
"project": test_project.name,
|
||||
"title": title,
|
||||
"directory": "smoke",
|
||||
"content": content,
|
||||
"tags": "smoke,test",
|
||||
},
|
||||
)
|
||||
|
||||
read_result = await client.call_tool(
|
||||
"read_note",
|
||||
{
|
||||
"project": test_project.name,
|
||||
"identifier": title,
|
||||
},
|
||||
)
|
||||
assert len(read_result.content) == 1
|
||||
assert title in read_result.content[0].text
|
||||
|
||||
search_result = await client.call_tool(
|
||||
"search_notes",
|
||||
{
|
||||
"project": test_project.name,
|
||||
"query": "Smoke Test Note",
|
||||
},
|
||||
)
|
||||
assert len(search_result.content) == 1
|
||||
assert title in search_result.content[0].text
|
||||
|
||||
context_result = await client.call_tool(
|
||||
"build_context",
|
||||
{
|
||||
"project": test_project.name,
|
||||
"url": "smoke/*",
|
||||
},
|
||||
)
|
||||
assert len(context_result.content) == 1
|
||||
assert title in context_result.content[0].text
|
||||
@@ -349,7 +349,7 @@ async def test_frontmatter_roundtrip_preserves_user_metadata(tmp_path):
|
||||
# Create a file with user's custom frontmatter (like the bug report)
|
||||
test_file = tmp_path / "litnote.md"
|
||||
content = dedent(
|
||||
'''
|
||||
"""
|
||||
---
|
||||
title: "My Document Title"
|
||||
type: litnote
|
||||
@@ -360,7 +360,7 @@ async def test_frontmatter_roundtrip_preserves_user_metadata(tmp_path):
|
||||
---
|
||||
|
||||
# Content here...
|
||||
'''
|
||||
"""
|
||||
).strip()
|
||||
test_file.write_text(content)
|
||||
|
||||
@@ -379,7 +379,9 @@ async def test_frontmatter_roundtrip_preserves_user_metadata(tmp_path):
|
||||
output = dump_frontmatter(post)
|
||||
|
||||
# The output should NOT have duplicate frontmatter or metadata: {} key
|
||||
assert output.count("---") == 2, "Should have exactly one frontmatter block (two --- delimiters)"
|
||||
assert output.count("---") == 2, (
|
||||
"Should have exactly one frontmatter block (two --- delimiters)"
|
||||
)
|
||||
assert "metadata:" not in output, "Should not have 'metadata:' key in output"
|
||||
assert "citekey: authorTitleYear2024" in output, "User's citekey should be preserved"
|
||||
assert "type: litnote" in output, "User's type should be preserved"
|
||||
|
||||
@@ -0,0 +1,88 @@
|
||||
"""Tool contract tests for MCP tool signatures."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import inspect
|
||||
|
||||
from basic_memory.mcp import tools
|
||||
|
||||
|
||||
EXPECTED_TOOL_SIGNATURES: dict[str, list[str]] = {
|
||||
"build_context": ["url", "project", "depth", "timeframe", "page", "page_size", "max_related"],
|
||||
"canvas": ["nodes", "edges", "title", "directory", "project"],
|
||||
"create_memory_project": ["project_name", "project_path", "set_default"],
|
||||
"delete_note": ["identifier", "is_directory", "project"],
|
||||
"delete_project": ["project_name"],
|
||||
"edit_note": [
|
||||
"identifier",
|
||||
"operation",
|
||||
"content",
|
||||
"project",
|
||||
"section",
|
||||
"find_text",
|
||||
"expected_replacements",
|
||||
],
|
||||
"fetch": ["id"],
|
||||
"list_directory": ["dir_name", "depth", "file_name_glob", "project"],
|
||||
"list_memory_projects": [],
|
||||
"move_note": ["identifier", "destination_path", "is_directory", "project"],
|
||||
"read_content": ["path", "project"],
|
||||
"read_note": ["identifier", "project", "page", "page_size"],
|
||||
"recent_activity": ["type", "depth", "timeframe", "project"],
|
||||
"search": ["query"],
|
||||
"search_by_metadata": ["filters", "project", "limit", "offset"],
|
||||
"search_notes": [
|
||||
"query",
|
||||
"project",
|
||||
"page",
|
||||
"page_size",
|
||||
"search_type",
|
||||
"types",
|
||||
"entity_types",
|
||||
"after_date",
|
||||
"metadata_filters",
|
||||
"tags",
|
||||
"status",
|
||||
],
|
||||
"view_note": ["identifier", "project", "page", "page_size"],
|
||||
"write_note": ["title", "content", "directory", "project", "tags", "note_type"],
|
||||
}
|
||||
|
||||
|
||||
TOOL_FUNCTIONS: dict[str, object] = {
|
||||
"build_context": tools.build_context,
|
||||
"canvas": tools.canvas,
|
||||
"create_memory_project": tools.create_memory_project,
|
||||
"delete_note": tools.delete_note,
|
||||
"delete_project": tools.delete_project,
|
||||
"edit_note": tools.edit_note,
|
||||
"fetch": tools.fetch,
|
||||
"list_directory": tools.list_directory,
|
||||
"list_memory_projects": tools.list_memory_projects,
|
||||
"move_note": tools.move_note,
|
||||
"read_content": tools.read_content,
|
||||
"read_note": tools.read_note,
|
||||
"recent_activity": tools.recent_activity,
|
||||
"search": tools.search,
|
||||
"search_by_metadata": tools.search_by_metadata,
|
||||
"search_notes": tools.search_notes,
|
||||
"view_note": tools.view_note,
|
||||
"write_note": tools.write_note,
|
||||
}
|
||||
|
||||
|
||||
def _signature_params(tool_obj: object) -> list[str]:
|
||||
fn = tool_obj.fn
|
||||
params = []
|
||||
for param in inspect.signature(fn).parameters.values():
|
||||
if param.name == "context":
|
||||
continue
|
||||
params.append(param.name)
|
||||
return params
|
||||
|
||||
|
||||
def test_mcp_tool_signatures_are_stable():
|
||||
assert set(TOOL_FUNCTIONS.keys()) == set(EXPECTED_TOOL_SIGNATURES.keys())
|
||||
|
||||
for tool_name, tool_obj in TOOL_FUNCTIONS.items():
|
||||
assert _signature_params(tool_obj) == EXPECTED_TOOL_SIGNATURES[tool_name]
|
||||
@@ -934,9 +934,7 @@ async def test_search_metadata_filters_numeric_comparisons(search_repository, se
|
||||
{"schema": {"confidence": 0.4}},
|
||||
)
|
||||
|
||||
results = await search_repository.search(
|
||||
metadata_filters={"schema.confidence": {"$gt": 0.7}}
|
||||
)
|
||||
results = await search_repository.search(metadata_filters={"schema.confidence": {"$gt": 0.7}})
|
||||
assert {result.id for result in results} == {entity_high.id}
|
||||
|
||||
results = await search_repository.search(
|
||||
|
||||
@@ -187,6 +187,7 @@ dev = [
|
||||
{ name = "pytest-asyncio" },
|
||||
{ name = "pytest-cov" },
|
||||
{ name = "pytest-mock" },
|
||||
{ name = "pytest-testmon" },
|
||||
{ name = "pytest-xdist" },
|
||||
{ name = "ruff" },
|
||||
{ name = "testcontainers" },
|
||||
@@ -242,6 +243,7 @@ dev = [
|
||||
{ name = "pytest-asyncio", specifier = ">=0.24.0" },
|
||||
{ name = "pytest-cov", specifier = ">=4.1.0" },
|
||||
{ name = "pytest-mock", specifier = ">=3.12.0" },
|
||||
{ name = "pytest-testmon", specifier = ">=2.2.0" },
|
||||
{ name = "pytest-xdist", specifier = ">=3.0.0" },
|
||||
{ name = "ruff", specifier = ">=0.1.6" },
|
||||
{ name = "testcontainers", extras = ["postgres"], specifier = ">=4.0.0" },
|
||||
@@ -1723,6 +1725,19 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/5a/cc/06253936f4a7fa2e0f48dfe6d851d9c56df896a9ab09ac019d70b760619c/pytest_mock-3.15.1-py3-none-any.whl", hash = "sha256:0a25e2eb88fe5168d535041d09a4529a188176ae608a6d249ee65abc0949630d", size = 10095, upload-time = "2025-09-16T16:37:25.734Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pytest-testmon"
|
||||
version = "2.2.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "coverage" },
|
||||
{ name = "pytest" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/4d/1d/3e4230cc67cd6205bbe03c3527500c0ccaf7f0c78b436537eac71590ee4a/pytest_testmon-2.2.0.tar.gz", hash = "sha256:01f488e955ed0e0049777bee598bf1f647dd524e06f544c31a24e68f8d775a51", size = 23108, upload-time = "2025-12-01T07:30:24.76Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/61/55/ebb3c2f59fb089f08d00f764830d35780fc4e4c41dffcadafa3264682b65/pytest_testmon-2.2.0-py3-none-any.whl", hash = "sha256:2604ca44a54d61a2e830d9ce828b41a837075e4ebc1f81b148add8e90d34815b", size = 25199, upload-time = "2025-12-01T07:30:23.623Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pytest-xdist"
|
||||
version = "3.8.0"
|
||||
|
||||
Reference in New Issue
Block a user