20 Commits

Author SHA1 Message Date
fa1d50a45e fix: forced logging in the docker compose file 2026-01-05 09:37:23 +01:00
b05894d77d fix: added missing file to dockerfile 2026-01-05 09:37:23 +01:00
05b3d74103 fix: fixed vectordb loneliness 2026-01-05 09:37:23 +01:00
806d9e97e1 fix: improved mongo db healthcheck and reduced log verbosity 2026-01-05 09:37:23 +01:00
97f48904e4 fix: fixed bootstrap overwrtting .env file and improved bool handling for js use 2026-01-05 09:37:23 +01:00
4ed0e8df78 fix: added missing settings 2026-01-05 04:23:57 +01:00
faaf1aafa7 feat: implemented declarative schema-based settings system 2026-01-04 17:28:48 +01:00
aa89a3fb00 doc: updated README.md
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2026-01-04 13:30:54 +01:00
64aeb5fc80 chore: removed deprecated cli.py file 2026-01-04 13:29:38 +01:00
9540520dc4 feat: updated default start mode from core to full 2026-01-03 05:49:51 +01:00
300ed387f5 fix: fixed build vars generation not being called 2026-01-01 06:00:55 +01:00
dea81de5b5 fix: updated CI workflow and added .env.make generation for CI 2026-01-01 05:33:39 +01:00
01a00a12af chore: bump version 0.1.6 → 0.1.7
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2026-01-01 05:04:37 +01:00
504d0162bb infra: added proper settings handling & orchestration and app bootstrap (.env)
Reviewed-on: https://gitea.iswearihadsomethingforthis.net/francwa/alfred/pulls/18
2026-01-01 03:55:35 +00:00
cda23d074f feat: added current alfred version from pyproject.py to healthcheck 2026-01-01 04:51:45 +01:00
0357108077 infra: added orchestration and app bootstrap (.env) 2026-01-01 04:48:32 +01:00
ab1df3dd0f fix: forgot to lint/format 2026-01-01 04:48:32 +01:00
c50091f6bf feat: added proper settings handling 2026-01-01 04:48:32 +01:00
8b406370f1 chore: updated some dependencies 2026-01-01 03:08:22 +01:00
c56bf2b92c feat: added Claude.AI to available providers 2025-12-29 02:13:11 +01:00
46 changed files with 4493 additions and 1060 deletions

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.1.6"
current_version = "0.1.7"
parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
serialize = ["{major}.{minor}.{patch}"]
search = "{current_version}"

View File

@@ -22,8 +22,7 @@ venv
.venv
env
.env
.env.*
.env-
# IDE
.vscode
.idea

View File

@@ -1,53 +1,93 @@
# Configuration
LIBRECHAT_VERSION=v0.8.1
RAG_VERSION=v0.7.0
MAX_HISTORY_MESSAGES=10
MAX_TOOL_ITERATIONS=10
REQUEST_TIMEOUT=30
# Keys
# - Deepseek API
DEEPSEEK_API_KEY=
# LLM Settings
LLM_TEMPERATURE=0.2
# - Google API
GOOGLE_API_KEY=
#GOOGLE_MODELS=gemini-2.5-pro,gemini-2.5-flash,gemini-2.5-flash-lite,gemini-2.0-flash,gemini-2.0-flash-lite #TODO:Update models
# Persistence
DATA_STORAGE_DIR=data
# - Anthropic API
ANTHROPIC_API_KEY=
# Network configuration
HOST=0.0.0.0
PORT=3080
# - Kimi API
KIMI_API_KEY=
# Build informations (Synced with pyproject.toml via bootstrap)
ALFRED_VERSION=
IMAGE_NAME=
LIBRECHAT_VERSION=
PYTHON_VERSION=
PYTHON_VERSION_SHORT=
RAG_VERSION=
RUNNER=
SERVICE_NAME=
# - ChatGPT/Open API
OPENAI_API_KEY=
# - Themoviedb.org API (media metadata)
TMDB_API_KEY=
# - Security keys
# --- SECURITY KEYS (CRITICAL) ---
# These are used for session tokens and encrypting sensitive data in MongoDB.
# If you lose these, you lose access to encrypted stored credentials.
JWT_SECRET=
JWT_REFRESH_SECRET=
CREDS_KEY=
CREDS_IV=
# Local LLM
OLLAMA_BASE_URL=
OLLAMA_MODEL=
# --- DATABASES (AUTO-SECURED) ---
# Alfred uses MongoDB for application state and PostgreSQL for Vector RAG.
# Passwords will be generated as 24-character secure tokens if left blank.
# Alfred Configuration
LLM_PROVIDER=deepseek
# MongoDB (Application Data)
MONGO_URI=
MONGO_HOST=mongodb
MONGO_PORT=27017
MONGO_USER=alfred
MONGO_PASSWORD=
MONGO_DB_NAME=LibreChat
# Memory storage directory (inside container)
MEMORY_STORAGE_DIR=/data/memory
# qBittorrent Configuration
QBITTORRENT_URL=
QBITTORRENT_USERNAME=admin
QBITTORRENT_PASSWORD=adminadmin
# Debug Options
DEBUG_LOGGING=false
DEBUG_CONSOLE=false
# Postgres (RAG)
POSTGRES_DB=
POSTGRES_USER=
# PostgreSQL (Vector Database / RAG)
POSTGRES_URI=
POSTGRES_HOST=vectordb
POSTGRES_PORT=5432
POSTGRES_USER=alfred
POSTGRES_PASSWORD=
POSTGRES_DB_NAME=alfred
# --- EXTERNAL SERVICES ---
# Media Metadata (Required)
# Get your key at https://www.themoviedb.org/
TMDB_API_KEY=
TMDB_BASE_URL=https://api.themoviedb.org/3
# qBittorrent integration
QBITTORRENT_URL=http://qbittorrent:16140
QBITTORRENT_USERNAME=admin
QBITTORRENT_PASSWORD=
QBITTORRENT_PORT=16140
# Meilisearch
MEILI_ENABLED=FALSE
MEILI_NO_ANALYTICS=TRUE
MEILI_HOST=http://meilisearch:7700
MEILI_MASTER_KEY=
# --- LLM CONFIGURATION ---
# Providers: 'local', 'openai', 'anthropic', 'deepseek', 'google', 'kimi'
DEFAULT_LLM_PROVIDER=local
# Local LLM (Ollama)
OLLAMA_BASE_URL=http://ollama:11434
OLLAMA_MODEL=llama3.3:latest
# --- API KEYS (OPTIONAL) ---
# Fill only the ones you intend to use.
ANTHROPIC_API_KEY=
DEEPSEEK_API_KEY=
GOOGLE_API_KEY=
KIMI_API_KEY=
OPENAI_API_KEY=
# --- RAG ENGINE ---
# Enable/Disable the Retrieval Augmented Generation system
RAG_ENABLED=TRUE
RAG_API_URL=http://rag_api:8000
RAG_API_PORT=8000
EMBEDDINGS_PROVIDER=ollama
EMBEDDINGS_MODEL=nomic-embed-text

View File

@@ -34,6 +34,9 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
- name: Generate build variables
run: python scripts/generate_build_vars.py
- name: Load config from Makefile
id: config
run: make -s _ci-dump-config >> $GITHUB_OUTPUT

261
CONTRIBUTE.md Normal file
View File

@@ -0,0 +1,261 @@
# Contributing to Alfred
## Settings Management System
Alfred uses a **declarative, schema-based configuration system** that ensures type safety, validation, and maintainability.
### Architecture Overview
```
settings.toml # Schema definitions (single source of truth)
settings_schema.py # Parser & validation
settings_bootstrap.py # Generation & resolution
.env # Runtime configuration
.env.make # Build variables for Makefile
settings.py # Pydantic Settings (runtime validation)
```
### Key Files
- **`settings.toml`** — Declarative schema for all settings
- **`alfred/settings_schema.py`** — Schema parser and validation logic
- **`alfred/settings_bootstrap.py`** — Bootstrap logic (generates `.env` and `.env.make`)
- **`alfred/settings.py`** — Pydantic Settings class (runtime)
- **`.env`** — Generated configuration file (gitignored)
- **`.env.make`** — Build variables for Makefile (gitignored)
### Setting Sources
Settings can come from different sources:
| Source | Description | Example |
|--------|-------------|---------|
| `toml` | From `pyproject.toml` | Version numbers, build config |
| `env` | From `.env` file | User-provided values, API keys |
| `generated` | Auto-generated secrets | JWT secrets, passwords |
| `computed` | Calculated from other settings | Database URIs |
### How to Add a New Setting
#### 1. Define in `settings.toml`
```toml
[tool.alfred.settings_schema.MY_NEW_SETTING]
type = "string" # string, integer, float, boolean, secret, computed
source = "env" # env, toml, generated, computed
default = "default_value" # Optional: default value
description = "Description here" # Required: clear description
category = "app" # app, api, database, security, build
required = true # Optional: default is true
validator = "range:1:100" # Optional: validation rule
export_to_env_make = false # Optional: export to .env.make for Makefile
```
#### 2. Regenerate Configuration
```bash
make bootstrap
```
This will:
- Read the schema from `settings.toml`
- Generate/update `.env` with the new setting
- Generate/update `.env.make` if `export_to_env_make = true`
- Preserve existing secrets
#### 3. Validate
```bash
make validate
```
This ensures all settings are valid according to the schema.
#### 4. Use in Code
The setting is automatically available in `settings.py`:
```python
from alfred.settings import settings
print(settings.my_new_setting)
```
### Setting Types
#### String Setting
```toml
[tool.alfred.settings_schema.API_URL]
type = "string"
source = "env"
default = "https://api.example.com"
description = "API base URL"
category = "api"
```
#### Integer Setting with Validation
```toml
[tool.alfred.settings_schema.MAX_RETRIES]
type = "integer"
source = "env"
default = 3
description = "Maximum retry attempts"
category = "app"
validator = "range:1:10"
```
#### Secret (Auto-generated)
```toml
[tool.alfred.settings_schema.API_SECRET]
type = "secret"
source = "generated"
secret_rule = "32:b64" # 32 bytes, base64 encoded
description = "API secret key"
category = "security"
```
Secret rules:
- `"32:b64"` — 32 bytes, URL-safe base64
- `"16:hex"` — 16 bytes, hexadecimal
#### Computed Setting
```toml
[tool.alfred.settings_schema.DATABASE_URL]
type = "computed"
source = "computed"
compute_from = ["DB_HOST", "DB_PORT", "DB_NAME"]
compute_template = "postgresql://{DB_HOST}:{DB_PORT}/{DB_NAME}"
description = "Database connection URL"
category = "database"
```
#### From TOML (Build Variables)
```toml
[tool.alfred.settings_schema.APP_VERSION]
type = "string"
source = "toml"
toml_path = "tool.poetry.version"
description = "Application version"
category = "build"
export_to_env_make = true # Available in Makefile
```
### Validators
Available validators:
- **`range:min:max`** — Numeric range validation
```toml
validator = "range:0.0:2.0" # For floats
validator = "range:1:100" # For integers
```
### Categories
Organize settings by category:
- **`app`** — Application settings
- **`api`** — API keys and external services
- **`database`** — Database configuration
- **`security`** — Secrets and security keys
- **`build`** — Build-time configuration
### Best Practices
1. **Always add a description** — Make it clear what the setting does
2. **Use appropriate types** — Don't use strings for numbers
3. **Add validation** — Use validators for numeric ranges
4. **Categorize properly** — Helps with organization
5. **Use computed settings** — For values derived from others (e.g., URIs)
6. **Mark secrets as generated** — Let the system handle secret generation
7. **Export build vars** — Set `export_to_env_make = true` for Makefile variables
### Workflow Example
```bash
# 1. Edit settings.toml
vim settings.toml
# 2. Regenerate configuration
make bootstrap
# 3. Validate
make validate
# 4. Test
python -c "from alfred.settings import settings; print(settings.my_new_setting)"
# 5. Commit (settings.toml only, not .env)
git add settings.toml
git commit -m "Add MY_NEW_SETTING"
```
### Commands
```bash
make bootstrap # Generate .env and .env.make from schema
make validate # Validate all settings against schema
make help # Show all available commands
```
### Troubleshooting
**Setting not found in schema:**
```
KeyError: Missing [tool.alfred.settings_schema] section
```
→ Check that `settings.toml` exists and has the correct structure
**Validation error:**
```
ValueError: MY_SETTING must be between 1 and 100, got 150
```
→ Check the validator in `settings.toml` and adjust the value in `.env`
**Secret not preserved:**
→ Secrets are automatically preserved during `make bootstrap`. If lost, they were never in `.env` (check `.env` exists before running bootstrap)
### Testing
When adding a new setting, consider adding tests:
```python
# tests/test_settings_schema.py
def test_my_new_setting(self, create_schema_file):
"""Test MY_NEW_SETTING definition."""
schema_toml = """
[tool.alfred.settings_schema.MY_NEW_SETTING]
type = "string"
source = "env"
default = "test"
"""
base_dir = create_schema_file(schema_toml)
schema = load_schema(base_dir)
definition = schema.get("MY_NEW_SETTING")
assert definition.default == "test"
```
### Migration from Old System
If you're migrating from the old system:
1. Settings are now in `settings.toml` instead of scattered across files
2. No more `.env.example` — schema is the source of truth
3. Secrets are auto-generated and preserved
4. Validation happens at bootstrap time, not just runtime
---
## Questions?
Open an issue or check the existing settings in `settings.toml` for examples.

View File

@@ -43,6 +43,9 @@ RUN --mount=type=cache,target=/root/.cache/pip \
uv pip install --system -r pyproject.toml; \
fi
COPY scripts/ ./scripts/
COPY .env.example ./
# ===========================================
# Stage 2: Testing
# ===========================================
@@ -60,7 +63,8 @@ RUN --mount=type=cache,target=/root/.cache/pip \
fi
COPY alfred/ ./alfred
COPY tests/ ./tests
COPY scripts ./scripts
COPY tests/ ./tests
# ===========================================
# Stage 3: Runtime
@@ -69,10 +73,11 @@ FROM python:${PYTHON_VERSION}-slim-bookworm AS runtime
ARG PYTHON_VERSION_SHORT
# TODO: A-t-on encore besoin de toutes les clés ?
ENV LLM_PROVIDER=deepseek \
MEMORY_STORAGE_DIR=/data/memory \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONPATH=/home/appuser/app \
PYTHONPATH=/home/appuser \
PYTHONUNBUFFERED=1
# Install runtime dependencies (needs root)
@@ -85,8 +90,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
RUN useradd -m -u 1000 -s /bin/bash appuser
# Create data directories (needs root for /data)
RUN mkdir -p /data/memory /data/logs \
&& chown -R appuser:appuser /data
RUN mkdir -p /data /logs \
&& chown -R appuser:appuser /data /logs
# Switch to non-root user
USER appuser
@@ -100,9 +105,13 @@ COPY --from=builder /usr/local/bin /usr/local/bin
# Copy application code (already owned by appuser)
COPY --chown=appuser:appuser alfred/ ./alfred
COPY --chown=appuser:appuser scripts/ ./scripts
COPY --chown=appuser:appuser .env.example ./
COPY --chown=appuser:appuser pyproject.toml ./
COPY --chown=appuser:appuser settings.toml ./
# Create volumes for persistent data
VOLUME ["/data/memory", "/data/logs"]
VOLUME ["/data", "/logs"]
# Expose port
EXPOSE 8000
@@ -111,5 +120,4 @@ EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
CMD python -c "import requests; requests.get('http://localhost:8000/health', timeout=5).raise_for_status()" || exit 1
# Run the application
CMD ["python", "-m", "uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
CMD ["python", "-m", "uvicorn", "alfred.app:app", "--host", "0.0.0.0", "--port", "8000"]

125
Makefile
View File

@@ -1,83 +1,81 @@
.DEFAULT_GOAL := help
# --- Config ---
export IMAGE_NAME := alfred_media_organizer
export LIBRECHAT_VERSION := v0.8.1
export PYTHON_VERSION := 3.14.2
export PYTHON_VERSION_SHORT := 3.14
export RAG_VERSION := v0.7.0
export RUNNER := poetry
export SERVICE_NAME := alfred
# --- Load Config from pyproject.toml ---
-include .env.make
# --- Profiles management ---
# Usage: make up p=rag,meili
p ?= full
PROFILES_PARAM := COMPOSE_PROFILES=$(p)
# --- Commands ---
CLI := python3 cli.py
DOCKER_COMPOSE := docker compose
DOCKER_BUILD := docker build \
DOCKER_BUILD := docker build --no-cache \
--build-arg PYTHON_VERSION=$(PYTHON_VERSION) \
--build-arg PYTHON_VERSION_SHORT=$(PYTHON_VERSION_SHORT) \
--build-arg RUNNER=$(RUNNER)
# --- Phony ---
.PHONY: setup status check
.PHONY: up down restart logs ps shell
.PHONY: build build-test
.PHONY: install update install-hooks
.PHONY: test coverage lint format clean prune
.PHONY: major minor patch
.PHONY: help
.PHONY: .env bootstrap validate up down restart logs ps shell build build-test install \
update install-hooks test coverage lint format clean major minor patch help
# --- Setup ---
setup:
.env:
@echo "Initializing environment..."
@$(CLI) setup \
&& echo "✓ Environment ready" \
|| (echo "✗ Setup failed" && exit 1)
@python scripts/bootstrap.py \
&& echo "✓ Environment ready" \
|| (echo "✗ Environment setup failed" && exit 1)
status:
@$(CLI) status
# .env.make is automatically generated by bootstrap.py when .env is created
.env.make: .env
check:
@$(CLI) check
bootstrap: .env
validate:
@echo "Validating settings..."
@python scripts/validate_settings.py \
&& echo "✓ Settings valid" \
|| (echo "✗ Settings validation failed" && exit 1)
# --- Docker ---
up: check
@echo "Starting containers..."
@$(DOCKER_COMPOSE) up -d --remove-orphans \
up: .env
@echo "Starting containers with profiles: [full]..."
@$(PROFILES_PARAM) $(DOCKER_COMPOSE) up -d --remove-orphans \
&& echo "✓ Containers started" \
|| (echo "✗ Failed to start containers" && exit 1)
down:
@echo "Stopping containers..."
@$(DOCKER_COMPOSE) down \
@$(PROFILES_PARAM) $(DOCKER_COMPOSE) down \
&& echo "✓ Containers stopped" \
|| (echo "✗ Failed to stop containers" && exit 1)
restart:
@echo "Restarting containers..."
@$(DOCKER_COMPOSE) restart \
@$(PROFILES_PARAM) $(DOCKER_COMPOSE) restart \
&& echo "✓ Containers restarted" \
|| (echo "✗ Failed to restart containers" && exit 1)
logs:
@echo "Following logs (Ctrl+C to exit)..."
@$(DOCKER_COMPOSE) logs -f
@$(PROFILES_PARAM) $(DOCKER_COMPOSE) logs -f
ps:
@echo "Container status:"
@$(DOCKER_COMPOSE) ps
@$(PROFILES_PARAM) $(DOCKER_COMPOSE) ps
shell:
@echo "Opening shell in $(SERVICE_NAME)..."
@$(DOCKER_COMPOSE) exec $(SERVICE_NAME) /bin/bash
# --- Build ---
build: check
build: .env.make
@echo "Building image $(IMAGE_NAME):latest ..."
@$(DOCKER_BUILD) -t $(IMAGE_NAME):latest . \
&& echo "✓ Build complete" \
|| (echo "✗ Build failed" && exit 1)
build-test: check
build-test: .env.make
@echo "Building test image $(IMAGE_NAME):test..."
@$(DOCKER_BUILD) --target test -t $(IMAGE_NAME):test . \
&& echo "✓ Test image built" \
@@ -90,18 +88,18 @@ install:
&& echo "✓ Dependencies installed" \
|| (echo "✗ Installation failed" && exit 1)
update:
@echo "Updating dependencies with $(RUNNER)..."
@$(RUNNER) update \
&& echo "✓ Dependencies updated" \
|| (echo "✗ Update failed" && exit 1)
install-hooks:
@echo "Installing pre-commit hooks..."
@$(RUNNER) run pre-commit install \
&& echo "✓ Hooks installed" \
|| (echo "✗ Hook installation failed" && exit 1)
update:
@echo "Updating dependencies with $(RUNNER)..."
@$(RUNNER) update \
&& echo "✓ Dependencies updated" \
|| (echo "✗ Update failed" && exit 1)
# --- Quality ---
test:
@echo "Running tests..."
@@ -133,12 +131,6 @@ clean:
@find . -type d -name "__pycache__" -exec rm -rf {} + 2>/dev/null || true
@echo "✓ Cleanup complete"
prune:
@echo "Pruning Docker system..."
@docker system prune -af \
&& echo "✓ Docker pruned" \
|| (echo "✗ Prune failed" && exit 1)
# --- Versioning ---
major minor patch: _check-main
@echo "Bumping $@ version..."
@@ -151,6 +143,7 @@ major minor patch: _check-main
&& echo "✓ Tags pushed" \
|| (echo "✗ Push failed" && exit 1)
# CI/CD helpers
_ci-dump-config:
@echo "image_name=$(IMAGE_NAME)"
@echo "python_version=$(PYTHON_VERSION)"
@@ -173,31 +166,29 @@ _check-main:
# --- Help ---
help:
@echo "Usage: make [target]"
@echo "Cleverly Crafted Unawareness - Management Commands"
@echo ""
@echo "Usage: make [target] [p=profile1,profile2]"
@echo ""
@echo "Setup:"
@echo " setup Initialize .env"
@echo " status Show project status"
@echo " bootstrap Generate .env and .env.make from schema"
@echo " validate Validate settings against schema"
@echo ""
@echo "Docker:"
@echo " up Start containers"
@echo " down Stop containers"
@echo " restart Restart containers"
@echo " logs Follow logs"
@echo " ps Container status"
@echo " shell Shell into container"
@echo " build Build image"
@echo " up Start containers (default profile: full)"
@echo " Example: make up p=rag,meili"
@echo " down Stop all containers"
@echo " restart Restart containers (supports p=...)"
@echo " logs Follow logs (supports p=...)"
@echo " ps Status of containers"
@echo " shell Open bash in the core container"
@echo " build Build the production Docker image"
@echo ""
@echo "Dev:"
@echo " install Install dependencies"
@echo " update Update dependencies"
@echo " test Run tests"
@echo " coverage Run tests with coverage"
@echo " lint Lint code"
@echo " format Format code"
@echo " clean Clean artifacts"
@echo "Dev & Quality:"
@echo " install Install dependencies via $(RUNNER)"
@echo " test Run pytest suite"
@echo " coverage Run tests and generate HTML report"
@echo " lint/format Quality and style checks"
@echo ""
@echo "Release:"
@echo " patch Bump patch version"
@echo " minor Bump minor version"
@echo " major Bump major version"
@echo " major|minor|patch Bump version and push tags (main branch only)"

651
README.md
View File

@@ -1,89 +1,277 @@
# Agent Media 🎬
# Alfred Media Organizer 🎬
An AI-powered agent for managing your local media library with natural language. Search, download, and organize movies and TV shows effortlessly.
An AI-powered agent for managing your local media library with natural language. Search, download, and organize movies and TV shows effortlessly through a conversational interface.
## Features
[![Python 3.14](https://img.shields.io/badge/python-3.14-blue.svg)](https://www.python.org/downloads/)
[![Poetry](https://img.shields.io/badge/dependency%20manager-poetry-blue)](https://python-poetry.org/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Code style: ruff](https://img.shields.io/badge/code%20style-ruff-000000.svg)](https://github.com/astral-sh/ruff)
- 🤖 **Natural Language Interface**: Talk to your media library in plain language
- 🔍 **Smart Search**: Find movies and TV shows via TMDB
- 📥 **Torrent Integration**: Search and download via qBittorrent
- 🧠 **Contextual Memory**: Remembers your preferences and conversation history
- 📁 **Auto-Organization**: Keeps your media library tidy
- 🌐 **API Compatible**: OpenAI-compatible API for easy integration
## ✨ Features
## Architecture
- 🤖 **Natural Language Interface** — Talk to your media library in plain language
- 🔍 **Smart Search** — Find movies and TV shows via TMDB with rich metadata
- 📥 **Torrent Integration** — Search and download via qBittorrent
- 🧠 **Contextual Memory** — Remembers your preferences and conversation history
- 📁 **Auto-Organization** — Keeps your media library tidy and well-structured
- 🌐 **OpenAI-Compatible API** — Works with any OpenAI-compatible client
- 🖥️ **LibreChat Frontend** — Beautiful web UI included out of the box
- 🔒 **Secure by Default** — Auto-generated secrets and encrypted credentials
Built with **Domain-Driven Design (DDD)** principles:
## 🏗️ Architecture
Built with **Domain-Driven Design (DDD)** principles for clean separation of concerns:
```
agent_media/
├── agent/ # AI agent orchestration
├── application/ # Use cases & DTOs
├── domain/ # Business logic & entities
── infrastructure/ # External services & persistence
alfred/
├── agent/ # AI agent orchestration
│ ├── llm/ # LLM clients (Ollama, DeepSeek)
│ └── tools/ # Tool implementations
── application/ # Use cases & DTOs
│ ├── movies/ # Movie search use cases
│ ├── torrents/ # Torrent management
│ └── filesystem/ # File operations
├── domain/ # Business logic & entities
│ ├── movies/ # Movie entities
│ ├── tv_shows/ # TV show entities
│ └── subtitles/ # Subtitle entities
└── infrastructure/ # External services & persistence
├── api/ # External API clients (TMDB, qBittorrent)
├── filesystem/ # File system operations
└── persistence/ # Memory & repositories
```
See [architecture_diagram.md](docs/architecture_diagram.md) for architectural details.
See [docs/architecture_diagram.md](docs/architecture_diagram.md) for detailed architectural diagrams.
## Quick Start
## 🚀 Quick Start
### Prerequisites
- Python 3.12+
- Poetry
- qBittorrent (optional, for downloads)
- API Keys:
- DeepSeek API key (or Ollama for local LLM)
- TMDB API key
- **Python 3.14+** (required)
- **Poetry** (dependency manager)
- **Docker & Docker Compose** (recommended for full stack)
- **API Keys:**
- TMDB API key ([get one here](https://www.themoviedb.org/settings/api))
- Optional: DeepSeek, OpenAI, Anthropic, or other LLM provider keys
### Installation
```bash
# Clone the repository
git clone https://github.com/your-username/agent-media.git
cd agent-media
git clone https://github.com/francwa/alfred_media_organizer.git
cd alfred_media_organizer
# Install dependencies
poetry install
make install
# Copy environment template
cp .env.example .env
# Bootstrap environment (generates .env with secure secrets)
make bootstrap
# Edit .env with your API keys
nano .env
```
### Configuration
Edit `.env`:
### Running with Docker (Recommended)
```bash
# LLM Provider (deepseek or ollama)
LLM_PROVIDER=deepseek
DEEPSEEK_API_KEY=your-api-key-here
# Start all services (LibreChat + Alfred + MongoDB + Ollama)
make up
# TMDB (for movie/TV show metadata)
TMDB_API_KEY=your-tmdb-key-here
# Or start with specific profiles
make up p=rag,meili # Include RAG and Meilisearch
make up p=qbittorrent # Include qBittorrent
make up p=full # Everything
# qBittorrent (optional)
QBITTORRENT_HOST=http://localhost:8080
QBITTORRENT_USERNAME=admin
QBITTORRENT_PASSWORD=adminadmin
# View logs
make logs
# Stop all services
make down
```
### Run
The web interface will be available at **http://localhost:3080**
### Running Locally (Development)
```bash
# Install dependencies
poetry install
# Start the API server
poetry run uvicorn app:app --reload
# Or with Docker
docker-compose up
poetry run uvicorn alfred.app:app --reload --port 8000
```
The API will be available at `http://localhost:8000`
## ⚙️ Configuration
## Usage
### Environment Bootstrap
Alfred uses a smart bootstrap system that:
1. **Generates secure secrets** automatically (JWT tokens, database passwords, encryption keys)
2. **Syncs build variables** from `pyproject.toml` (versions, image names)
3. **Preserves existing secrets** when re-running (never overwrites your API keys)
4. **Computes database URIs** automatically from individual components
```bash
# First time setup
make bootstrap
# Re-run after updating pyproject.toml (secrets are preserved)
make bootstrap
```
### Configuration File (.env)
The `.env` file is generated from `.env.example` with secure defaults:
```bash
# --- CORE SETTINGS ---
HOST=0.0.0.0
PORT=3080
MAX_HISTORY_MESSAGES=10
MAX_TOOL_ITERATIONS=10
# --- LLM CONFIGURATION ---
# Providers: 'local' (Ollama), 'deepseek', 'openai', 'anthropic', 'google'
DEFAULT_LLM_PROVIDER=local
# Local LLM (Ollama - included in Docker stack)
OLLAMA_BASE_URL=http://ollama:11434
OLLAMA_MODEL=llama3.3:latest
LLM_TEMPERATURE=0.2
# --- API KEYS (fill only what you need) ---
TMDB_API_KEY=your-tmdb-key-here # Required for movie search
DEEPSEEK_API_KEY= # Optional
OPENAI_API_KEY= # Optional
ANTHROPIC_API_KEY= # Optional
# --- SECURITY (auto-generated, don't modify) ---
JWT_SECRET=<auto-generated>
JWT_REFRESH_SECRET=<auto-generated>
CREDS_KEY=<auto-generated>
CREDS_IV=<auto-generated>
# --- DATABASES (auto-generated passwords) ---
MONGO_PASSWORD=<auto-generated>
POSTGRES_PASSWORD=<auto-generated>
```
### Security Keys
Security keys are defined in `pyproject.toml` and generated automatically:
```toml
[tool.alfred.security]
jwt_secret = "32:b64" # 32 bytes, base64 URL-safe
jwt_refresh_secret = "32:b64"
creds_key = "32:hex" # 32 bytes, hexadecimal (AES-256)
creds_iv = "16:hex" # 16 bytes, hexadecimal (AES IV)
mongo_password = "16:hex"
postgres_password = "16:hex"
```
**Formats:**
- `b64` — Base64 URL-safe (for JWT tokens)
- `hex` — Hexadecimal (for encryption keys, passwords)
## 🐳 Docker Services
### Service Architecture
```
┌─────────────────────────────────────────────────────────────┐
│ alfred-net (bridge) │
├─────────────────────────────────────────────────────────────┤
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ LibreChat │───▶│ Alfred │───▶│ MongoDB │ │
│ │ :3080 │ │ (core) │ │ :27017 │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ │ │
│ │ ▼ │
│ │ ┌──────────────┐ │
│ │ │ Ollama │ │
│ │ │ (local) │ │
│ │ └──────────────┘ │
│ │ │
│ ┌──────┴───────────────────────────────────────────────┐ │
│ │ Optional Services (profiles) │ │
│ ├──────────────┬──────────────┬──────────────┬─────────┤ │
│ │ Meilisearch │ RAG API │ VectorDB │qBittor- │ │
│ │ :7700 │ :8000 │ :5432 │ rent │ │
│ │ [meili] │ [rag] │ [rag] │[qbit..] │ │
│ └──────────────┴──────────────┴──────────────┴─────────┘ │
│ │
└─────────────────────────────────────────────────────────────┘
```
### Docker Profiles
| Profile | Services | Use Case |
|---------|----------|----------|
| (default) | LibreChat, Alfred, MongoDB, Ollama | Basic setup |
| `meili` | + Meilisearch | Fast search |
| `rag` | + RAG API, VectorDB | Document retrieval |
| `qbittorrent` | + qBittorrent | Torrent downloads |
| `full` | All services | Complete setup |
```bash
# Start with specific profiles
make up p=rag,meili
make up p=full
```
### Docker Commands
```bash
make up # Start containers (default profile)
make up p=full # Start with all services
make down # Stop all containers
make restart # Restart containers
make logs # Follow logs
make ps # Show container status
make shell # Open bash in Alfred container
make build # Build production image
make build-test # Build test image
```
## 🛠️ Available Tools
The agent has access to these tools for interacting with your media library:
| Tool | Description |
|------|-------------|
| `find_media_imdb_id` | Search for movies/TV shows on TMDB by title |
| `find_torrent` | Search for torrents across multiple indexers |
| `get_torrent_by_index` | Get detailed info about a specific torrent result |
| `add_torrent_by_index` | Download a torrent by its index in search results |
| `add_torrent_to_qbittorrent` | Add a torrent via magnet link directly |
| `set_path_for_folder` | Configure folder paths for media organization |
| `list_folder` | List contents of a folder |
| `set_language` | Set preferred language for searches |
## 💬 Usage Examples
### Via Web Interface (LibreChat)
Navigate to **http://localhost:3080** and start chatting:
```
You: Find Inception in 1080p
Alfred: I found 3 torrents for Inception (2010):
1. Inception.2010.1080p.BluRay.x264 (150 seeders) - 2.1 GB
2. Inception.2010.1080p.WEB-DL.x265 (80 seeders) - 1.8 GB
3. Inception.2010.1080p.REMUX (45 seeders) - 25 GB
You: Download the first one
Alfred: ✓ Added to qBittorrent! Download started.
Saving to: /downloads/Movies/Inception (2010)/
You: What's downloading right now?
Alfred: You have 1 active download:
- Inception.2010.1080p.BluRay.x264 (45% complete, ETA: 12 min)
```
### Via API
@@ -91,219 +279,177 @@ The API will be available at `http://localhost:8000`
# Health check
curl http://localhost:8000/health
# Chat with the agent
# Chat with the agent (OpenAI-compatible)
curl -X POST http://localhost:8000/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "agent-media",
"model": "alfred",
"messages": [
{"role": "user", "content": "Find Inception 1080p"}
{"role": "user", "content": "Find The Matrix 4K"}
]
}'
# List available models
curl http://localhost:8000/v1/models
# View memory state (debug)
curl http://localhost:8000/memory/state
# Clear session memory
curl -X POST http://localhost:8000/memory/clear-session
```
### Via OpenWebUI
### Via OpenWebUI or Other Clients
Agent Media is compatible with [OpenWebUI](https://github.com/open-webui/open-webui):
Alfred is compatible with any OpenAI-compatible client:
1. Add as OpenAI-compatible endpoint: `http://localhost:8000/v1`
2. Model name: `agent-media`
3. Start chatting!
2. Model name: `alfred`
3. No API key required (or use any placeholder)
### Example Conversations
## 🧠 Memory System
```
You: Find Inception in 1080p
Agent: I found 3 torrents for Inception:
1. Inception.2010.1080p.BluRay.x264 (150 seeders)
2. Inception.2010.1080p.WEB-DL.x265 (80 seeders)
3. Inception.2010.720p.BluRay (45 seeders)
You: Download the first one
Agent: Added to qBittorrent! Download started.
You: List my downloads
Agent: You have 1 active download:
- Inception.2010.1080p.BluRay.x264 (45% complete)
```
## Available Tools
The agent has access to these tools:
| Tool | Description |
|------|-------------|
| `find_media_imdb_id` | Search for movies/TV shows on TMDB |
| `find_torrents` | Search for torrents |
| `get_torrent_by_index` | Get torrent details by index |
| `add_torrent_by_index` | Download torrent by index |
| `add_torrent_to_qbittorrent` | Add torrent via magnet link |
| `set_path_for_folder` | Configure folder paths |
| `list_folder` | List folder contents |
## Memory System
Agent Media uses a three-tier memory system:
Alfred uses a three-tier memory system for context management:
### Long-Term Memory (LTM)
- **Persistent** (saved to JSON)
- Configuration, preferences, media library
- Survives restarts
- **Persistent** — Saved to JSON files
- **Contents:** Configuration, user preferences, media library state
- **Survives:** Application restarts
### Short-Term Memory (STM)
- **Session-based** (RAM only)
- Conversation history, current workflow
- Cleared on restart
- **Session-based** — Stored in RAM
- **Contents:** Conversation history, current workflow state
- **Cleared:** On session end or restart
### Episodic Memory
- **Transient** (RAM only)
- Search results, active downloads, recent errors
- Cleared frequently
- **Transient** — Stored in RAM
- **Contents:** Search results, active downloads, recent errors
- **Cleared:** Frequently, after task completion
## Development
## 🧪 Development
### Project Structure
### Project Setup
```
agent_media/
├── agent/
│ ├── agent.py # Main agent orchestrator
│ ├── prompts.py # System prompt builder
│ ├── registry.py # Tool registration
│ ├── tools/ # Tool implementations
│ └── llm/ # LLM clients (DeepSeek, Ollama)
├── application/
│ ├── movies/ # Movie use cases
│ ├── torrents/ # Torrent use cases
│ └── filesystem/ # Filesystem use cases
├── domain/
│ ├── movies/ # Movie entities & value objects
│ ├── tv_shows/ # TV show entities
│ ├── subtitles/ # Subtitle entities
│ └── shared/ # Shared value objects
├── infrastructure/
│ ├── api/ # External API clients
│ │ ├── tmdb/ # TMDB client
│ │ ├── knaben/ # Torrent search
│ │ └── qbittorrent/ # qBittorrent client
│ ├── filesystem/ # File operations
│ └── persistence/ # Memory & repositories
├── tests/ # Test suite (~500 tests)
└── docs/ # Documentation
```bash
# Install all dependencies (including dev)
poetry install
# Install pre-commit hooks
make install-hooks
# Run the development server
poetry run uvicorn alfred.app:app --reload
```
### Running Tests
```bash
# Run all tests
poetry run pytest
# Run all tests (parallel execution)
make test
# Run with coverage
poetry run pytest --cov
# Run with coverage report
make coverage
# Run specific test file
poetry run pytest tests/test_agent.py
poetry run pytest tests/test_agent.py -v
# Run specific test
poetry run pytest tests/test_agent.py::TestAgent::test_step
poetry run pytest tests/test_config_loader.py::TestBootstrapEnv -v
```
### Code Quality
```bash
# Linting
poetry run ruff check .
# Lint and auto-fix
make lint
# Formatting
poetry run black .
# Format code
make format
# Type checking (if mypy is installed)
poetry run mypy .
# Clean build artifacts
make clean
```
### Adding a New Tool
Quick example:
1. **Create the tool function** in `alfred/agent/tools/`:
```python
# 1. Create the tool function in agent/tools/api.py
def my_new_tool(param: str) -> Dict[str, Any]:
"""Tool description."""
# alfred/agent/tools/api.py
def my_new_tool(param: str) -> dict[str, Any]:
"""
Short description of what this tool does.
This will be shown to the LLM to help it decide when to use this tool.
"""
memory = get_memory()
# Implementation
return {"status": "ok", "data": "result"}
# 2. Register in agent/registry.py
Tool(
name="my_new_tool",
description="What this tool does",
func=api_tools.my_new_tool,
parameters={
"type": "object",
"properties": {
"param": {"type": "string", "description": "Parameter description"},
},
"required": ["param"],
},
),
# Your implementation here
result = do_something(param)
return {
"status": "success",
"data": result
}
```
## Docker
2. **Register in the registry** (`alfred/agent/registry.py`):
### Build
```python
tool_functions = [
# ... existing tools ...
api_tools.my_new_tool, # Add your tool here
]
```
The tool will be automatically registered with its parameters extracted from the function signature.
### Version Management
```bash
docker build -t agent-media .
# Bump version (must be on main branch)
make patch # 0.1.7 -> 0.1.8
make minor # 0.1.7 -> 0.2.0
make major # 0.1.7 -> 1.0.0
```
### Run
```bash
docker run -p 8000:8000 \
-e DEEPSEEK_API_KEY=your-key \
-e TMDB_API_KEY=your-key \
-v $(pwd)/memory_data:/app/memory_data \
agent-media
```
### Docker Compose
```bash
# Start all services (agent + qBittorrent)
docker-compose up -d
# View logs
docker-compose logs -f
# Stop
docker-compose down
```
## API Documentation
## 📚 API Reference
### Endpoints
#### `GET /health`
Health check endpoint.
**Response:**
```json
{
"status": "healthy",
"version": "0.2.0"
"version": "0.1.7"
}
```
#### `GET /v1/models`
List available models (OpenAI-compatible).
```json
{
"object": "list",
"data": [
{
"id": "alfred",
"object": "model",
"owned_by": "alfred"
}
]
}
```
#### `POST /v1/chat/completions`
Chat with the agent (OpenAI-compatible).
**Request:**
```json
{
"model": "agent-media",
"model": "alfred",
"messages": [
{"role": "user", "content": "Find Inception"}
],
@@ -317,7 +463,7 @@ Chat with the agent (OpenAI-compatible).
"id": "chatcmpl-xxx",
"object": "chat.completion",
"created": 1234567890,
"model": "agent-media",
"model": "alfred",
"choices": [{
"index": 0,
"message": {
@@ -330,71 +476,120 @@ Chat with the agent (OpenAI-compatible).
```
#### `GET /memory/state`
View full memory state (debug).
View full memory state (debug endpoint).
#### `POST /memory/clear-session`
Clear session memories (STM + Episodic).
## Troubleshooting
## 🔧 Troubleshooting
### Agent doesn't respond
- Check API keys in `.env`
- Verify LLM provider is running (Ollama) or accessible (DeepSeek)
- Check logs: `docker-compose logs agent-media`
1. Check API keys in `.env`
2. Verify LLM provider is running:
```bash
# For Ollama
docker logs alfred-ollama
# Check if model is pulled
docker exec alfred-ollama ollama list
```
3. Check Alfred logs: `docker logs alfred-core`
### qBittorrent connection failed
- Verify qBittorrent is running
- Check `QBITTORRENT_HOST` in `.env`
- Ensure Web UI is enabled in qBittorrent settings
1. Verify qBittorrent is running: `docker ps | grep qbittorrent`
2. Check Web UI is enabled in qBittorrent settings
3. Verify credentials in `.env`:
```bash
QBITTORRENT_URL=http://qbittorrent:16140
QBITTORRENT_USERNAME=admin
QBITTORRENT_PASSWORD=<check-your-env>
```
### Database connection issues
1. Check MongoDB is healthy: `docker logs alfred-mongodb`
2. Verify credentials match in `.env`
3. Try restarting: `make restart`
### Memory not persisting
- Check `memory_data/` directory exists and is writable
- Verify volume mounts in Docker
1. Check `data/` directory exists and is writable
2. Verify volume mounts in `docker-compose.yaml`
3. Check file permissions: `ls -la data/`
### Bootstrap fails
1. Ensure `.env.example` exists
2. Check `pyproject.toml` has required sections:
```toml
[tool.alfred.settings]
[tool.alfred.security]
```
3. Run manually: `python scripts/bootstrap.py`
### Tests failing
- Run `poetry install` to ensure dependencies are up to date
- Check logs for specific error messages
## Contributing
1. Update dependencies: `poetry install`
2. Check Python version: `python --version` (needs 3.14+)
3. Run specific failing test with verbose output:
```bash
poetry run pytest tests/test_failing.py -v --tb=long
```
Contributions are welcome!
## 🤝 Contributing
### Development Workflow
Contributions are welcome! Please follow these steps:
1. Fork the repository
2. Create a feature branch: `git checkout -b feature/my-feature`
3. Make your changes
4. Run tests: `poetry run pytest`
5. Run linting: `poetry run ruff check . && poetry run black .`
6. Commit: `git commit -m "Add my feature"`
7. Push: `git push origin feature/my-feature`
8. Create a Pull Request
1. **Fork** the repository
2. **Create** a feature branch: `git checkout -b feature/my-feature`
3. **Make** your changes
4. **Run** tests: `make test`
5. **Run** linting: `make lint && make format`
6. **Commit**: `git commit -m "feat: add my feature"`
7. **Push**: `git push origin feature/my-feature`
8. **Create** a Pull Request
## Documentation
### Commit Convention
- [Architecture Diagram](docs/architecture_diagram.md) - System architecture overview
- [Class Diagram](docs/class_diagram.md) - Class structure and relationships
- [Component Diagram](docs/component_diagram.md) - Component interactions
- [Sequence Diagram](docs/sequence_diagram.md) - Sequence flows
- [Flowchart](docs/flowchart.md) - System flowcharts
We use [Conventional Commits](https://www.conventionalcommits.org/):
## License
- `feat:` New feature
- `fix:` Bug fix
- `docs:` Documentation
- `refactor:` Code refactoring
- `test:` Adding tests
- `chore:` Maintenance
MIT License - see [LICENSE](LICENSE) file for details.
## 📖 Documentation
## Acknowledgments
- [Architecture Diagram](docs/architecture_diagram.md) — System architecture overview
- [Class Diagram](docs/class_diagram.md) — Class structure and relationships
- [Component Diagram](docs/component_diagram.md) — Component interactions
- [Sequence Diagram](docs/sequence_diagram.md) — Sequence flows
- [Flowchart](docs/flowchart.md) — System flowcharts
- [DeepSeek](https://www.deepseek.com/) - LLM provider
- [TMDB](https://www.themoviedb.org/) - Movie database
- [qBittorrent](https://www.qbittorrent.org/) - Torrent client
- [FastAPI](https://fastapi.tiangolo.com/) - Web framework
## 📄 License
## Support
MIT License — see [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- [LibreChat](https://github.com/danny-avila/LibreChat) — Beautiful chat interface
- [Ollama](https://ollama.ai/) — Local LLM runtime
- [DeepSeek](https://www.deepseek.com/) — LLM provider
- [TMDB](https://www.themoviedb.org/) — Movie database
- [qBittorrent](https://www.qbittorrent.org/) — Torrent client
- [FastAPI](https://fastapi.tiangolo.com/) — Web framework
- [Pydantic](https://docs.pydantic.dev/) — Data validation
## 📬 Support
- 📧 Email: francois.hodiaumont@gmail.com
- 🐛 Issues: [GitHub Issues](https://github.com/your-username/agent-media/issues)
- 💬 Discussions: [GitHub Discussions](https://github.com/your-username/agent-media/discussions)
- 🐛 Issues: [GitHub Issues](https://github.com/francwa/alfred_media_organizer/issues)
- 💬 Discussions: [GitHub Discussions](https://github.com/francwa/alfred_media_organizer/discussions)
---
Made with ❤️ by Francwa
<p align="center">Made with ❤️ by <a href="https://github.com/francwa">Francwa</a></p>

0
alfred/__init__.py Normal file
View File

View File

@@ -1,6 +1,7 @@
"""Agent module for media library management."""
from alfred.settings import settings
from .agent import Agent
from .config import settings
__all__ = ["Agent", "settings"]

View File

@@ -6,8 +6,8 @@ from collections.abc import AsyncGenerator
from typing import Any
from alfred.infrastructure.persistence import get_memory
from alfred.settings import settings
from .config import settings
from .prompts import PromptBuilder
from .registry import Tool, make_tools
@@ -21,17 +21,20 @@ class Agent:
Uses OpenAI-compatible tool calling API.
"""
def __init__(self, llm, max_tool_iterations: int = 5):
def __init__(self, settings, llm, max_tool_iterations: int = 5):
"""
Initialize the agent.
Args:
settings: Application settings instance
llm: LLM client with complete() method
max_tool_iterations: Maximum number of tool execution iterations
"""
self.settings = settings
self.llm = llm
self.tools: dict[str, Tool] = make_tools()
self.tools: dict[str, Tool] = make_tools(settings)
self.prompt_builder = PromptBuilder(self.tools)
self.settings = settings
self.max_tool_iterations = max_tool_iterations
def step(self, user_input: str) -> str:
@@ -78,7 +81,7 @@ class Agent:
tools_spec = self.prompt_builder.build_tools_spec()
# Tool execution loop
for _iteration in range(self.max_tool_iterations):
for _iteration in range(self.settings.max_tool_iterations):
# Call LLM with tools
llm_result = self.llm.complete(messages, tools=tools_spec)
@@ -230,7 +233,7 @@ class Agent:
tools_spec = self.prompt_builder.build_tools_spec()
# Tool execution loop
for _iteration in range(self.max_tool_iterations):
for _iteration in range(self.settings.max_tool_iterations):
# Call LLM with tools
llm_result = self.llm.complete(messages, tools=tools_spec)

View File

@@ -1,115 +0,0 @@
"""Configuration management with validation."""
import os
from dataclasses import dataclass, field
from pathlib import Path
from dotenv import load_dotenv
# Load environment variables from .env file
load_dotenv()
class ConfigurationError(Exception):
"""Raised when configuration is invalid."""
pass
@dataclass
class Settings:
"""Application settings loaded from environment variables."""
# LLM Configuration
deepseek_api_key: str = field(
default_factory=lambda: os.getenv("DEEPSEEK_API_KEY", "")
)
deepseek_base_url: str = field(
default_factory=lambda: os.getenv(
"DEEPSEEK_BASE_URL", "https://api.deepseek.com"
)
)
model: str = field(
default_factory=lambda: os.getenv("DEEPSEEK_MODEL", "deepseek-chat")
)
temperature: float = field(
default_factory=lambda: float(os.getenv("TEMPERATURE", "0.2"))
)
# TMDB Configuration
tmdb_api_key: str = field(default_factory=lambda: os.getenv("TMDB_API_KEY", ""))
tmdb_base_url: str = field(
default_factory=lambda: os.getenv(
"TMDB_BASE_URL", "https://api.themoviedb.org/3"
)
)
# Storage Configuration
memory_file: str = field(
default_factory=lambda: os.getenv("MEMORY_FILE", "memory.json")
)
# Security Configuration
max_tool_iterations: int = field(
default_factory=lambda: int(os.getenv("MAX_TOOL_ITERATIONS", "5"))
)
request_timeout: int = field(
default_factory=lambda: int(os.getenv("REQUEST_TIMEOUT", "30"))
)
# Memory Configuration
max_history_messages: int = field(
default_factory=lambda: int(os.getenv("MAX_HISTORY_MESSAGES", "10"))
)
def __post_init__(self):
"""Validate settings after initialization."""
self._validate()
def _validate(self) -> None:
"""Validate configuration values."""
# Validate temperature
if not 0.0 <= self.temperature <= 2.0:
raise ConfigurationError(
f"Temperature must be between 0.0 and 2.0, got {self.temperature}"
)
# Validate max_tool_iterations
if self.max_tool_iterations < 1 or self.max_tool_iterations > 20:
raise ConfigurationError(
f"max_tool_iterations must be between 1 and 20, got {self.max_tool_iterations}"
)
# Validate request_timeout
if self.request_timeout < 1 or self.request_timeout > 300:
raise ConfigurationError(
f"request_timeout must be between 1 and 300 seconds, got {self.request_timeout}"
)
# Validate URLs
if not self.deepseek_base_url.startswith(("http://", "https://")):
raise ConfigurationError(
f"Invalid deepseek_base_url: {self.deepseek_base_url}"
)
if not self.tmdb_base_url.startswith(("http://", "https://")):
raise ConfigurationError(f"Invalid tmdb_base_url: {self.tmdb_base_url}")
# Validate memory file path
memory_path = Path(self.memory_file)
if memory_path.exists() and not memory_path.is_file():
raise ConfigurationError(
f"memory_file exists but is not a file: {self.memory_file}"
)
def is_deepseek_configured(self) -> bool:
"""Check if DeepSeek API is properly configured."""
return bool(self.deepseek_api_key and self.deepseek_base_url)
def is_tmdb_configured(self) -> bool:
"""Check if TMDB API is properly configured."""
return bool(self.tmdb_api_key and self.tmdb_base_url)
# Global settings instance
settings = Settings()

View File

@@ -6,7 +6,8 @@ from typing import Any
import requests
from requests.exceptions import HTTPError, RequestException, Timeout
from ..config import settings
from alfred.settings import Settings, settings
from .exceptions import LLMAPIError, LLMConfigurationError
logger = logging.getLogger(__name__)
@@ -21,6 +22,7 @@ class DeepSeekClient:
base_url: str | None = None,
model: str | None = None,
timeout: int | None = None,
settings: Settings | None = None,
):
"""
Initialize DeepSeek client.
@@ -34,10 +36,10 @@ class DeepSeekClient:
Raises:
LLMConfigurationError: If API key is missing
"""
self.api_key = api_key or settings.deepseek_api_key
self.base_url = base_url or settings.deepseek_base_url
self.model = model or settings.model
self.timeout = timeout or settings.request_timeout
self.api_key = api_key or self.settings.deepseek_api_key
self.base_url = base_url or self.settings.deepseek_base_url
self.model = model or self.settings.deepseek_model
self.timeout = timeout or self.settings.request_timeout
if not self.api_key:
raise LLMConfigurationError(
@@ -94,7 +96,7 @@ class DeepSeekClient:
payload = {
"model": self.model,
"messages": messages,
"temperature": settings.temperature,
"temperature": settings.llm_temperature,
}
# Add tools if provided

View File

@@ -1,13 +1,13 @@
"""Ollama LLM client with robust error handling."""
import logging
import os
from typing import Any
import requests
from requests.exceptions import HTTPError, RequestException, Timeout
from ..config import settings
from alfred.settings import Settings
from .exceptions import LLMAPIError, LLMConfigurationError
logger = logging.getLogger(__name__)
@@ -32,6 +32,7 @@ class OllamaClient:
model: str | None = None,
timeout: int | None = None,
temperature: float | None = None,
settings: Settings | None = None,
):
"""
Initialize Ollama client.
@@ -45,13 +46,11 @@ class OllamaClient:
Raises:
LLMConfigurationError: If configuration is invalid
"""
self.base_url = base_url or os.getenv(
"OLLAMA_BASE_URL", "http://localhost:11434"
)
self.model = model or os.getenv("OLLAMA_MODEL", "llama3.2")
self.base_url = base_url or settings.ollama_base_url
self.model = model or settings.ollama_model
self.timeout = timeout or settings.request_timeout
self.temperature = (
temperature if temperature is not None else settings.temperature
temperature if temperature is not None else settings.llm_temperature
)
if not self.base_url:

View File

@@ -78,10 +78,13 @@ def _create_tool_from_function(func: Callable) -> Tool:
)
def make_tools() -> dict[str, Tool]:
def make_tools(settings) -> dict[str, Tool]:
"""
Create and register all available tools.
Args:
settings: Application settings instance
Returns:
Dictionary mapping tool names to Tool objects
"""

View File

@@ -2,22 +2,21 @@
import json
import logging
import os
import time
import uuid
from pathlib import Path
from typing import Any
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse, StreamingResponse
from fastapi.staticfiles import StaticFiles
from pydantic import BaseModel, Field, validator
from alfred.agent.agent import Agent
from alfred.agent.config import settings
from alfred.agent.llm.deepseek import DeepSeekClient
from alfred.agent.llm.exceptions import LLMAPIError, LLMConfigurationError
from alfred.agent.llm.ollama import OllamaClient
from alfred.infrastructure.persistence import get_memory, init_memory
from alfred.settings import settings
logging.basicConfig(
level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
@@ -30,37 +29,33 @@ app = FastAPI(
version="0.2.0",
)
# TODO: Make a variable
manifests = "manifests"
# Sécurité : on vérifie que le dossier existe pour ne pas faire planter l'app au démarrage
if os.path.exists(manifests):
app.mount("/manifests", StaticFiles(directory=manifests), name="manifests")
else:
print(
f"⚠️ ATTENTION : Le dossier '{manifests}' est introuvable. Le plugin ne marchera pas."
)
# Initialize memory context at startup
storage_dir = os.getenv("MEMORY_STORAGE_DIR", "memory_data")
init_memory(storage_dir=storage_dir)
logger.info(f"Memory context initialized (storage: {storage_dir})")
memory_path = Path(settings.data_storage) / "memory"
init_memory(storage_dir=str(memory_path))
logger.info(f"Memory context initialized (path: {memory_path})")
# Initialize LLM based on environment variable
llm_provider = os.getenv("LLM_PROVIDER", "deepseek").lower()
llm_provider = settings.default_llm_provider.lower()
try:
if llm_provider == "ollama":
logger.info("Using Ollama LLM")
llm = OllamaClient()
else:
if llm_provider == "local":
logger.info("Using local Ollama LLM")
llm = OllamaClient(settings=settings)
elif llm_provider == "deepseek":
logger.info("Using DeepSeek LLM")
llm = DeepSeekClient()
elif llm_provider == "claude":
raise ValueError(f"LLM provider not fully implemented: {llm_provider}")
else:
raise ValueError(f"Unknown LLM provider: {llm_provider}")
except LLMConfigurationError as e:
logger.error(f"Failed to initialize LLM: {e}")
raise
# Initialize agent
agent = Agent(llm=llm, max_tool_iterations=settings.max_tool_iterations)
agent = Agent(
settings=settings, llm=llm, max_tool_iterations=settings.max_tool_iterations
)
logger.info("Agent Media API initialized")
@@ -115,7 +110,7 @@ def extract_last_user_content(messages: list[dict[str, Any]]) -> str:
@app.get("/health")
async def health_check():
"""Health check endpoint."""
return {"status": "healthy", "version": "0.2.0"}
return {"status": "healthy", "version": f"v{settings.alfred_version}"}
@app.get("/v1/models")

View File

@@ -6,7 +6,7 @@ from typing import Any
import requests
from requests.exceptions import HTTPError, RequestException, Timeout
from alfred.agent.config import Settings, settings
from alfred.settings import Settings, settings
from .dto import TorrentResult
from .exceptions import KnabenAPIError, KnabenNotFoundError

View File

@@ -6,7 +6,7 @@ from typing import Any
import requests
from requests.exceptions import HTTPError, RequestException, Timeout
from alfred.agent.config import Settings, settings
from alfred.settings import Settings, settings
from .dto import TorrentInfo
from .exceptions import QBittorrentAPIError, QBittorrentAuthError

View File

@@ -6,7 +6,7 @@ from typing import Any
import requests
from requests.exceptions import HTTPError, RequestException, Timeout
from alfred.agent.config import Settings, settings
from alfred.settings import Settings, settings
from .dto import MediaResult
from .exceptions import (

292
alfred/settings.py Normal file
View File

@@ -0,0 +1,292 @@
"""
Application settings using Pydantic Settings.
Settings are loaded from .env file and validated against the schema
defined in pyproject.toml [tool.alfred.settings_schema].
"""
from pathlib import Path
from pydantic import Field, computed_field, field_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
from .settings_schema import SCHEMA
BASE_DIR = Path(__file__).resolve().parent.parent
ENV_FILE_PATH = BASE_DIR / ".env"
class ConfigurationError(Exception):
"""Raised when configuration is invalid."""
pass
def _get_default_from_schema(setting_name: str):
"""Get default value from schema for a setting."""
definition = SCHEMA.get(setting_name.upper())
return definition.default if definition else None
def _get_secret_factory(rule: str):
"""Create a factory function for generating secrets."""
def factory():
from .settings_bootstrap import generate_secret # noqa: PLC0415
return generate_secret(rule)
return factory
class Settings(BaseSettings):
"""
Application settings.
Settings are loaded from .env and validated using the schema
defined in pyproject.toml.
"""
model_config = SettingsConfigDict(
env_file=ENV_FILE_PATH,
env_file_encoding="utf-8",
extra="ignore",
case_sensitive=False,
)
# --- BUILD (from TOML) ---
alfred_version: str = Field(
default=_get_default_from_schema("ALFRED_VERSION"), description="Alfred version"
)
python_version: str = Field(
default=_get_default_from_schema("PYTHON_VERSION"), description="Python version"
)
python_version_short: str = Field(
default=_get_default_from_schema("PYTHON_VERSION_SHORT"),
description="Python version (short)",
)
runner: str = Field(
default=_get_default_from_schema("RUNNER"), description="Dependency manager"
)
image_name: str = Field(
default=_get_default_from_schema("IMAGE_NAME"), description="Docker image name"
)
service_name: str = Field(
default=_get_default_from_schema("SERVICE_NAME"),
description="Docker service name",
)
librechat_version: str = Field(
default=_get_default_from_schema("LIBRECHAT_VERSION"),
description="LibreChat version",
)
rag_version: str = Field(
default=_get_default_from_schema("RAG_VERSION"), description="RAG version"
)
# --- APP SETTINGS ---
host: str = Field(
default=_get_default_from_schema("HOST"), description="Server host"
)
port: int = Field(
default=_get_default_from_schema("PORT"), description="Server port"
)
max_history_messages: int = Field(
default=_get_default_from_schema("MAX_HISTORY_MESSAGES"),
description="Maximum conversation history",
)
max_tool_iterations: int = Field(
default=_get_default_from_schema("MAX_TOOL_ITERATIONS"),
description="Maximum tool iterations",
)
request_timeout: int = Field(
default=_get_default_from_schema("REQUEST_TIMEOUT"),
description="Request timeout in seconds",
)
llm_temperature: float = Field(
default=_get_default_from_schema("LLM_TEMPERATURE"),
description="LLM temperature",
)
data_storage_dir: str = Field(
default=_get_default_from_schema("DATA_STORAGE_DIR"),
description="Data storage directory",
alias="DATA_STORAGE_DIR",
)
# Legacy aliases
debug_logging: bool = False
debug_console: bool = False
data_storage: str = Field(default="data", exclude=True) # Deprecated
# --- API KEYS ---
tmdb_api_key: str | None = Field(None, description="TMDB API key")
deepseek_api_key: str | None = Field(None, description="DeepSeek API key")
openai_api_key: str | None = Field(None, description="OpenAI API key")
anthropic_api_key: str | None = Field(None, description="Anthropic API key")
google_api_key: str | None = Field(None, description="Google API key")
kimi_api_key: str | None = Field(None, description="Kimi API key")
# --- SECURITY SECRETS ---
jwt_secret: str = Field(
default_factory=_get_secret_factory("32:b64"), description="JWT signing secret"
)
jwt_refresh_secret: str = Field(
default_factory=_get_secret_factory("32:b64"), description="JWT refresh secret"
)
creds_key: str = Field(
default_factory=_get_secret_factory("32:hex"),
description="Credentials encryption key",
)
creds_iv: str = Field(
default_factory=_get_secret_factory("16:hex"),
description="Credentials encryption IV",
)
meili_master_key: str = Field(
default_factory=_get_secret_factory("32:b64"),
description="Meilisearch master key",
repr=False,
)
# --- DATABASE ---
mongo_host: str = Field(
default=_get_default_from_schema("MONGO_HOST"), description="MongoDB host"
)
mongo_port: int = Field(
default=_get_default_from_schema("MONGO_PORT"), description="MongoDB port"
)
mongo_user: str = Field(
default=_get_default_from_schema("MONGO_USER"), description="MongoDB user"
)
mongo_password: str = Field(
default_factory=_get_secret_factory("16:hex"),
description="MongoDB password",
repr=False,
exclude=True,
)
mongo_db_name: str = Field(
default=_get_default_from_schema("MONGO_DB_NAME"),
description="MongoDB database name",
)
@computed_field(repr=False)
@property
def mongo_uri(self) -> str:
"""MongoDB connection URI."""
return (
f"mongodb://{self.mongo_user}:{self.mongo_password}"
f"@{self.mongo_host}:{self.mongo_port}/{self.mongo_db_name}"
f"?authSource=admin"
)
postgres_host: str = Field(
default=_get_default_from_schema("POSTGRES_HOST"), description="PostgreSQL host"
)
postgres_port: int = Field(
default=_get_default_from_schema("POSTGRES_PORT"), description="PostgreSQL port"
)
postgres_user: str = Field(
default=_get_default_from_schema("POSTGRES_USER"), description="PostgreSQL user"
)
postgres_password: str = Field(
default_factory=_get_secret_factory("16:hex"),
description="PostgreSQL password",
repr=False,
exclude=True,
)
postgres_db_name: str = Field(
default=_get_default_from_schema("POSTGRES_DB_NAME"),
description="PostgreSQL database name",
)
@computed_field(repr=False)
@property
def postgres_uri(self) -> str:
"""PostgreSQL connection URI."""
return (
f"postgresql://{self.postgres_user}:{self.postgres_password}"
f"@{self.postgres_host}:{self.postgres_port}/{self.postgres_db_name}"
)
# --- EXTERNAL SERVICES ---
tmdb_base_url: str = "https://api.themoviedb.org/3"
qbittorrent_url: str = "http://qbittorrent:16140"
qbittorrent_username: str = "admin"
qbittorrent_password: str = Field(
default_factory=_get_secret_factory("16:hex"),
description="qBittorrent password",
)
# --- LLM CONFIG ---
default_llm_provider: str = "local"
ollama_base_url: str = "http://ollama:11434"
ollama_model: str = "llama3.3:latest"
deepseek_base_url: str = "https://api.deepseek.com"
deepseek_model: str = "deepseek-chat"
# --- RAG ENGINE ---
rag_enabled: bool = True
rag_api_url: str = "http://rag_api:8000"
embeddings_provider: str = "ollama"
embeddings_model: str = "nomic-embed-text"
# --- MEILISEARCH ---
meili_enabled: bool = True
meili_no_analytics: bool = True
meili_host: str = "http://meilisearch:7700"
# --- VALIDATORS (from schema) ---
@field_validator("llm_temperature")
@classmethod
def validate_temperature(cls, v: float) -> float:
"""Validate LLM temperature is in valid range."""
if not 0.0 <= v <= 2.0:
raise ConfigurationError(
f"Temperature must be between 0.0 and 2.0, got {v}"
)
return v
@field_validator("max_tool_iterations")
@classmethod
def validate_max_iterations(cls, v: int) -> int:
"""Validate max tool iterations is in valid range."""
if not 1 <= v <= 20:
raise ConfigurationError(
f"max_tool_iterations must be between 1 and 20, got {v}"
)
return v
@field_validator("request_timeout")
@classmethod
def validate_timeout(cls, v: int) -> int:
"""Validate request timeout is in valid range."""
if not 1 <= v <= 300:
raise ConfigurationError(
f"request_timeout must be between 1 and 300 seconds, got {v}"
)
return v
@field_validator("deepseek_base_url", "tmdb_base_url")
@classmethod
def validate_url(cls, v: str, info) -> str:
"""Validate URLs start with http:// or https://."""
if not v.startswith(("http://", "https://")):
raise ConfigurationError(f"Invalid {info.field_name}: must be a valid URL")
return v
# --- HELPER METHODS ---
def is_tmdb_configured(self) -> bool:
"""Check if TMDB API key is configured."""
return bool(self.tmdb_api_key)
def is_deepseek_configured(self) -> bool:
"""Check if DeepSeek API key is configured."""
return bool(self.deepseek_api_key)
def dump_safe(self) -> dict:
"""Dump settings excluding sensitive fields."""
return self.model_dump(exclude_none=False)
# Global settings instance
settings = Settings()

View File

@@ -0,0 +1,417 @@
"""
Settings bootstrap - Generate and validate configuration files.
This module uses the settings schema to generate .env and .env.make files
with proper validation and secret generation.
"""
import re
import secrets
from dataclasses import dataclass
from pathlib import Path
from typing import Any
import tomllib
from .settings_schema import (
SCHEMA,
SettingDefinition,
SettingSource,
SettingsSchema,
SettingType,
validate_value,
)
@dataclass
class ConfigSource:
"""Configuration source paths."""
base_dir: Path
toml_path: Path
env_path: Path
env_example_path: Path
@classmethod
def from_base_dir(cls, base_dir: Path | None = None) -> "ConfigSource":
"""Create ConfigSource from base directory."""
if base_dir is None:
# Don't import settings.py to avoid Pydantic dependency in pre-commit
base_dir = Path(__file__).resolve().parent.parent
return cls(
base_dir=base_dir,
toml_path=base_dir / "pyproject.toml",
env_path=base_dir / ".env",
env_example_path=base_dir / ".env.example",
)
def extract_python_version(version_string: str) -> tuple[str, str]:
"""
Extract Python version from poetry dependency string.
Examples:
"==3.14.2" -> ("3.14.2", "3.14")
"^3.14.2" -> ("3.14.2", "3.14")
"""
clean_version = re.sub(r"^[=^~><]+", "", version_string.strip())
parts = clean_version.split(".")
if len(parts) >= 2:
full_version = clean_version
short_version = f"{parts[0]}.{parts[1]}"
return full_version, short_version
else:
raise ValueError(f"Invalid Python version format: {version_string}")
def generate_secret(rule: str) -> str:
"""
Generate a cryptographically secure secret.
Args:
rule: Format "size:tech" (e.g., "32:b64", "16:hex")
"""
parts = rule.split(":")
if len(parts) != 2:
raise ValueError(f"Invalid security rule format: {rule}")
size_str, tech = parts
size = int(size_str)
match tech:
case "b64":
return secrets.token_urlsafe(size)
case "hex":
return secrets.token_hex(size)
case _:
raise ValueError(f"Invalid security format: {tech}")
def get_nested_value(data: dict, path: str) -> Any:
"""
Get nested value from dict using dot notation.
Example:
get_nested_value({"a": {"b": {"c": 1}}}, "a.b.c") -> 1
"""
keys = path.split(".")
value = data
for key in keys:
if not isinstance(value, dict):
raise KeyError(f"Cannot access {key} in non-dict value")
value = value[key]
return value
class SettingsBootstrap:
"""
Bootstrap settings from schema.
This class orchestrates the entire bootstrap process:
1. Load schema
2. Load sources (TOML, existing .env)
3. Resolve all settings
4. Validate
5. Write .env and .env.make
"""
def __init__(self, source: ConfigSource, schema: SettingsSchema | None = None):
"""
Initialize bootstrap.
Args:
source: Configuration source paths
schema: Settings schema (uses global SCHEMA if None)
"""
self.source = source
self.schema = schema or SCHEMA
self.toml_data: dict | None = None
self.existing_env: dict[str, str] = {}
self.resolved_settings: dict[str, Any] = {}
def bootstrap(self) -> None:
"""
Run complete bootstrap process.
This is the main entry point that orchestrates everything.
"""
print("<EFBFBD><EFBFBD><EFBFBD><EFBFBD> Starting settings bootstrap...")
# 1. Load sources
self._load_sources()
# 2. Resolve all settings
self._resolve_settings()
# 3. Validate
self._validate_settings()
# 4. Write files
self._write_env()
self._write_env_make()
print("✅ Bootstrap complete!")
print("\n⚠️ Reminder: Add your API keys to .env if needed")
def _load_sources(self) -> None:
"""Load TOML and existing .env."""
# Load TOML
if not self.source.toml_path.exists():
raise FileNotFoundError(
f"pyproject.toml not found: {self.source.toml_path}"
)
with open(self.source.toml_path, "rb") as f:
self.toml_data = tomllib.load(f)
# Load existing .env
if self.source.env_path.exists():
print("🔄 Reading existing .env...")
with open(self.source.env_path) as f:
for line in f:
if "=" in line and not line.strip().startswith("#"):
key, value = line.split("=", 1)
self.existing_env[key.strip()] = value.strip()
print(f" Found {len(self.existing_env)} existing keys")
else:
print("🔧 Creating new .env file...")
def _resolve_settings(self) -> None:
"""Resolve all settings from their sources."""
print("📋 Resolving settings...")
# First pass: resolve non-computed settings
for definition in self.schema:
if definition.source != SettingSource.COMPUTED:
self.resolved_settings[definition.name] = self._resolve_setting(
definition
)
# Second pass: resolve computed settings (they may depend on others)
for definition in self.schema:
if definition.source == SettingSource.COMPUTED:
self.resolved_settings[definition.name] = self._resolve_setting(
definition
)
def _resolve_setting(self, definition: SettingDefinition) -> Any:
"""Resolve a single setting value."""
match definition.source:
case SettingSource.TOML:
return self._resolve_from_toml(definition)
case SettingSource.ENV:
return self._resolve_from_env(definition)
case SettingSource.GENERATED:
return self._resolve_generated(definition)
case SettingSource.COMPUTED:
return self._resolve_computed(definition)
def _resolve_from_toml(self, definition: SettingDefinition) -> Any:
"""Resolve setting from TOML."""
if not definition.toml_path:
raise ValueError(
f"{definition.name}: toml_path is required for TOML source"
)
value = get_nested_value(self.toml_data, definition.toml_path)
# Apply transform if specified
if definition.transform:
match definition.transform:
case "extract_python_version_full":
value, _ = extract_python_version(value)
case "extract_python_version_short":
_, value = extract_python_version(value)
case _:
raise ValueError(f"Unknown transform: {definition.transform}")
return value
def _resolve_from_env(self, definition: SettingDefinition) -> Any:
"""Resolve setting from .env."""
# Check existing .env first
if definition.name in self.existing_env:
value = self.existing_env[definition.name]
elif definition.default is not None:
value = definition.default
elif not definition.required:
return None
else:
raise ValueError(f"{definition.name} is required but not found in .env")
# Convert type (only if value is a string from .env)
match definition.type:
case SettingType.INTEGER:
return int(value) if not isinstance(value, int) else value
case SettingType.FLOAT:
return float(value) if not isinstance(value, float) else value
case SettingType.BOOLEAN:
if isinstance(value, bool):
return value
return str(value).lower() in ("true", "1", "yes")
case _:
return str(value) if not isinstance(value, str) else value
def _resolve_generated(self, definition: SettingDefinition) -> str:
"""Resolve generated secret."""
# Preserve existing secret
if definition.name in self.existing_env:
print(f" ↻ Kept existing {definition.name}")
return self.existing_env[definition.name]
# Generate new secret
if not definition.secret_rule:
raise ValueError(
f"{definition.name}: secret_rule is required for GENERATED source"
)
secret = generate_secret(definition.secret_rule)
print(f" + Generated {definition.name} ({definition.secret_rule})")
return secret
def _resolve_computed(self, definition: SettingDefinition) -> str:
"""Resolve computed setting."""
if not definition.compute_template:
raise ValueError(
f"{definition.name}: compute_template is required for COMPUTED source"
)
# Build context from dependencies
context = {}
if definition.compute_from:
for dep in definition.compute_from:
if dep not in self.resolved_settings:
raise ValueError(
f"{definition.name}: dependency {dep} not resolved yet"
)
context[dep] = self.resolved_settings[dep]
# Format template
return definition.compute_template.format(**context)
def _validate_settings(self) -> None:
"""Validate all resolved settings."""
print("✓ Validating settings...")
errors = []
for definition in self.schema:
value = self.resolved_settings.get(definition.name)
try:
validate_value(definition, value)
except ValueError as e:
errors.append(str(e))
if errors:
raise ValueError(
"Validation errors:\n" + "\n".join(f" - {e}" for e in errors)
)
def _write_env(self) -> None:
"""
Write .env file using .env.example as template.
This preserves the structure, comments, and formatting of .env.example
while updating only the values of variables defined in the schema.
Custom variables from existing .env are appended at the end.
"""
print("📝 Writing .env...")
# Check if .env.example exists
if not self.source.env_example_path.exists():
raise FileNotFoundError(
f".env.example not found: {self.source.env_example_path}"
)
# Read .env.example as template
with open(self.source.env_example_path, encoding="utf-8") as f:
template_lines = f.readlines()
# Track which keys we've processed from .env.example
processed_keys = set()
# Process template line by line
output_lines = []
for line in template_lines:
stripped = line.strip()
# Keep comments and empty lines as-is
if not stripped or stripped.startswith("#"):
output_lines.append(line)
continue
# Check if line contains a variable assignment
if "=" in line:
key, _ = line.split("=", 1)
key = key.strip()
processed_keys.add(key)
# Check if this variable is in our schema
definition = self.schema.get(key)
if definition:
# Update with resolved value (including computed settings)
value = self.resolved_settings.get(key, "")
# Convert Python booleans to lowercase for .env compatibility
if isinstance(value, bool):
value = "true" if value else "false"
output_lines.append(f"{key}={value}\n")
# Variable not in schema
# If it exists in current .env, use that value, otherwise keep template
elif key in self.existing_env:
output_lines.append(f"{key}={self.existing_env[key]}\n")
else:
output_lines.append(line)
else:
# Keep any other lines as-is
output_lines.append(line)
# Append custom variables from existing .env that aren't in .env.example
custom_vars = {
k: v for k, v in self.existing_env.items() if k not in processed_keys
}
if custom_vars:
output_lines.append("\n# --- CUSTOM VARIABLES ---\n")
output_lines.append("# Variables added manually (not in .env.example)\n")
for key, value in sorted(custom_vars.items()):
output_lines.append(f"{key}={value}\n")
# Write updated .env
with open(self.source.env_path, "w", encoding="utf-8") as f:
f.writelines(output_lines)
print(f"{self.source.env_path.name} written (preserving template structure)")
if custom_vars:
print(f" Preserved {len(custom_vars)} custom variable(s)")
def _write_env_make(self) -> None:
"""Write .env.make for Makefile."""
print("📝 Writing .env.make...")
lines = ["# Auto-generated from pyproject.toml\n"]
for definition in self.schema.get_for_env_make():
value = self.resolved_settings.get(definition.name, "")
lines.append(f"export {definition.name}={value}\n")
env_make_path = self.source.base_dir / ".env.make"
with open(env_make_path, "w", encoding="utf-8") as f:
f.writelines(lines)
print("✅ .env.make written")
def bootstrap_env(source: ConfigSource) -> None: # noqa: PLC0415
"""
Bootstrap environment configuration.
This is the main entry point for bootstrapping.
Args:
source: Configuration source paths
"""
bootstrapper = SettingsBootstrap(source)
bootstrapper.bootstrap()

291
alfred/settings_schema.py Normal file
View File

@@ -0,0 +1,291 @@
"""
Settings schema parser and definitions.
This module loads the settings schema from pyproject.toml and provides
type-safe access to setting definitions.
"""
from dataclasses import dataclass
from enum import Enum
from pathlib import Path
from typing import Any
import tomllib
BASE_DIR = Path(__file__).resolve().parent.parent
class SettingType(Enum):
"""Type of setting value."""
STRING = "string"
INTEGER = "integer"
FLOAT = "float"
BOOLEAN = "boolean"
SECRET = "secret"
COMPUTED = "computed"
class SettingSource(Enum):
"""Source of setting value."""
ENV = "env" # From .env file
TOML = "toml" # From pyproject.toml
GENERATED = "generated" # Auto-generated (secrets)
COMPUTED = "computed" # Computed from other settings
@dataclass
class SettingDefinition:
"""
Complete definition of a setting.
This is the parsed representation of a setting from pyproject.toml.
"""
name: str
type: SettingType
source: SettingSource
description: str = ""
category: str = "general"
required: bool = True
default: str | int | float | bool | None = None
# For TOML source
toml_path: str | None = None
transform: str | None = None # Transform function name
# For SECRET source
secret_rule: str | None = None # e.g., "32:b64", "16:hex"
# For COMPUTED source
compute_from: list[str] | None = None # Dependencies
compute_template: str | None = None # Template string
# For validation
validator: str | None = None # e.g., "range:0.0:2.0"
# For export
export_to_env_make: bool = False
class SettingsSchema:
"""
Settings schema loaded from pyproject.toml.
Provides access to all setting definitions and utilities for
working with the schema.
"""
def __init__(self, schema_dict: dict[str, dict[str, Any]]):
"""
Initialize schema from parsed TOML.
Args:
schema_dict: Dictionary from [tool.alfred.settings_schema]
"""
self.definitions: dict[str, SettingDefinition] = {}
self._parse_schema(schema_dict)
def _parse_schema(self, schema_dict: dict[str, dict[str, Any]]) -> None:
"""Parse schema dictionary into SettingDefinition objects."""
for name, config in schema_dict.items():
# Skip non-setting entries
if not isinstance(config, dict):
continue
# Parse type
type_str = config.get("type", "string")
setting_type = SettingType(type_str)
# Parse source
source_str = config.get("source", "env")
source = SettingSource(source_str)
# Parse default value based on type
default = config.get("default")
if default is not None:
match setting_type:
case SettingType.INTEGER:
default = int(default)
case SettingType.FLOAT:
default = float(default)
case SettingType.BOOLEAN:
default = bool(default)
case _:
default = str(default) if default else None
# Create definition
definition = SettingDefinition(
name=name,
type=setting_type,
source=source,
description=config.get("description", ""),
category=config.get("category", "general"),
required=config.get("required", True),
default=default,
toml_path=config.get("toml_path"),
transform=config.get("transform"),
secret_rule=config.get("secret_rule"),
compute_from=config.get("compute_from"),
compute_template=config.get("compute_template"),
validator=config.get("validator"),
export_to_env_make=config.get("export_to_env_make", False),
)
self.definitions[name] = definition
def get(self, name: str) -> SettingDefinition | None:
"""Get setting definition by name."""
return self.definitions.get(name)
def get_by_category(self, category: str) -> list[SettingDefinition]:
"""Get all settings in a category."""
return [d for d in self.definitions.values() if d.category == category]
def get_by_source(self, source: SettingSource) -> list[SettingDefinition]:
"""Get all settings from a specific source."""
return [d for d in self.definitions.values() if d.source == source]
def get_required(self) -> list[SettingDefinition]:
"""Get all required settings."""
return [d for d in self.definitions.values() if d.required]
def get_for_env_make(self) -> list[SettingDefinition]:
"""Get all settings that should be exported to .env.make."""
return [d for d in self.definitions.values() if d.export_to_env_make]
def __iter__(self):
"""Iterate over all setting definitions."""
return iter(self.definitions.values())
def __len__(self):
"""Number of settings in schema."""
return len(self.definitions)
def load_schema(base_dir: Path | None = None) -> SettingsSchema:
"""
Load settings schema from settings.toml or pyproject.toml.
Priority:
1. settings.toml (if exists)
2. pyproject.toml [tool.alfred.settings_schema]
Args:
base_dir: Base directory containing config files
Returns:
SettingsSchema instance
Raises:
FileNotFoundError: If neither file exists
KeyError: If settings_schema section is missing
"""
if base_dir is None:
base_dir = BASE_DIR
# Try settings.toml first (cleaner, dedicated file)
settings_toml_path = base_dir / "settings.toml"
if settings_toml_path.exists():
with open(settings_toml_path, "rb") as f:
data = tomllib.load(f)
try:
schema_dict = data["tool"]["alfred"]["settings_schema"]
return SettingsSchema(schema_dict)
except KeyError as e:
raise KeyError(
"Missing [tool.alfred.settings_schema] section in settings.toml"
) from e
# Fallback to pyproject.toml
toml_path = base_dir / "pyproject.toml"
if not toml_path.exists():
raise FileNotFoundError(
f"Neither settings.toml nor pyproject.toml found in {base_dir}"
)
with open(toml_path, "rb") as f:
data = tomllib.load(f)
try:
schema_dict = data["tool"]["alfred"]["settings_schema"]
except KeyError as e:
raise KeyError(
"Missing [tool.alfred.settings_schema] section in pyproject.toml"
) from e
return SettingsSchema(schema_dict)
def validate_value(definition: SettingDefinition, value: Any) -> bool:
"""
Validate a value against a setting definition.
Args:
definition: Setting definition with validation rules
value: Value to validate
Returns:
True if valid
Raises:
ValueError: If validation fails
"""
if value is None:
if definition.required:
raise ValueError(f"{definition.name} is required but got None")
return True
# Type validation
match definition.type:
case SettingType.INTEGER:
if not isinstance(value, int):
raise ValueError(
f"{definition.name} must be integer, got {type(value).__name__}"
)
case SettingType.FLOAT:
if not isinstance(value, (int, float)):
raise ValueError(
f"{definition.name} must be float, got {type(value).__name__}"
)
case SettingType.BOOLEAN:
if not isinstance(value, bool):
raise ValueError(
f"{definition.name} must be boolean, got {type(value).__name__}"
)
case SettingType.STRING | SettingType.SECRET:
if not isinstance(value, str):
raise ValueError(
f"{definition.name} must be string, got {type(value).__name__}"
)
# Custom validator
if definition.validator:
_apply_validator(definition.name, definition.validator, value)
return True
def _apply_validator(name: str, validator: str, value: Any) -> None:
"""Apply custom validator to value."""
if validator.startswith("range:"):
# Parse range validator: "range:min:max"
parts = validator.split(":")
if len(parts) != 3:
raise ValueError(f"Invalid range validator format: {validator}")
min_val = float(parts[1])
max_val = float(parts[2])
if not (min_val <= value <= max_val):
raise ValueError(
f"{name} must be between {min_val} and {max_val}, got {value}"
)
else:
raise ValueError(f"Unknown validator: {validator}")
# Load schema once at module import
SCHEMA = load_schema()

231
cli.py
View File

@@ -1,231 +0,0 @@
#!/usr/bin/env python3
import os
import secrets
import shutil
import subprocess
import sys
from datetime import datetime
from enum import StrEnum
from pathlib import Path
from typing import NoReturn
REQUIRED_VARS = ["DEEPSEEK_API_KEY", "TMDB_API_KEY", "QBITTORRENT_URL"]
# Size in bytes
KEYS_TO_GENERATE = {
"JWT_SECRET": 32,
"JWT_REFRESH_SECRET": 32,
"CREDS_KEY": 32,
"CREDS_IV": 16,
}
class Style(StrEnum):
"""ANSI codes for styling output.
Usage: f"{Style.RED}Error{Style.RESET}"
"""
RESET = "\033[0m"
BOLD = "\033[1m"
RED = "\033[31m"
GREEN = "\033[32m"
YELLOW = "\033[33m"
CYAN = "\033[36m"
DIM = "\033[2m"
# Only for terminals and if not specified otherwise
USE_COLORS = sys.stdout.isatty() and "NO_COLOR" not in os.environ
def styled(text: str, color_code: str) -> str:
"""Apply color only if supported by the terminal."""
if USE_COLORS:
return f"{color_code}{text}{Style.RESET}"
return text
def log(msg: str, color: str | None = None, prefix="") -> None:
"""Print a formatted message."""
formatted_msg = styled(msg, color) if color else msg
print(f"{prefix}{formatted_msg}")
def error_exit(msg: str) -> NoReturn:
"""Print an error message in red and exit."""
log(f"{msg}", Style.RED)
sys.exit(1)
def is_docker_running() -> bool:
""" "Check if Docker is available and responsive."""
if shutil.which("docker") is None:
error_exit("Docker is not installed.")
result = subprocess.run(
["docker", "info"],
# Redirect stdout/stderr to keep output clean on success
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
# Prevent exception being raised
check=False,
)
return result.returncode == 0
def parse_env(content: str) -> dict[str, str]:
"""Parses existing keys and values into a dict (ignoring comments)."""
env_vars = {}
for raw_line in content.splitlines():
line = raw_line.strip()
if line and not line.startswith("#") and "=" in line:
key, value = line.split("=", 1)
env_vars[key.strip()] = value.strip()
return env_vars
def dump_env(content: str, data: dict[str, str]) -> str:
new_content: list[str] = []
processed_keys = set()
for raw_line in content.splitlines():
line = raw_line.strip()
# Fast line (empty, comment or not an assignation)
if len(line) == 0 or line.startswith("#") or "=" not in line:
new_content.append(raw_line)
continue
# Slow line (inline comment to be kept)
key_chunk, value_chunk = raw_line.split("=", 1)
key = key_chunk.strip()
# Not in the update list
if key not in data:
new_content.append(raw_line)
continue
processed_keys.add(key)
new_value = data[key]
if " #" not in value_chunk:
new_line = f"{key_chunk}={new_value}"
else:
_, comment = value_chunk.split(" #", 1)
new_line = f"{key_chunk}={new_value} #{comment}"
new_content.append(new_line)
for key, value in data.items():
if key not in processed_keys:
new_content.append(f"{key}={value}")
return "\n".join(new_content) + "\n"
def ensure_env() -> None:
"""Manage .env lifecycle: creation, secret generation, prompts."""
env_path = Path(".env")
env_example_path = Path(".env.example")
updated: bool = False
# Read .env if exists
if env_path.exists():
content: str = env_path.read_text(encoding="utf-8")
else:
content: str = env_example_path.read_text(encoding="utf-8")
existing_vars: dict[str, str] = parse_env(content)
# Generate missing secrets
for key, length in KEYS_TO_GENERATE.items():
if key not in existing_vars or not existing_vars[key]:
log(f"Generating {key}...", Style.GREEN, prefix=" ")
existing_vars[key] = secrets.token_hex(length)
updated = True
log("Done", Style.GREEN, prefix=" ")
# Prompt for missing mandatory keys
color = Style.YELLOW if USE_COLORS else ""
reset = Style.RESET if USE_COLORS else ""
for key in REQUIRED_VARS:
if key not in existing_vars or not existing_vars[key]:
try:
existing_vars[key] = input(
f" {color}Enter value for {key}: {reset}"
).strip()
updated = True
except KeyboardInterrupt:
print()
error_exit("Aborted by user.")
# Write to disk
if updated:
# But backup original first
if env_path.exists():
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
backup_path = Path(f"{env_path}.{timestamp}.bak")
shutil.copy(env_path, backup_path)
log(f"Backup created: {backup_path}", Style.DIM)
new_content = dump_env(content, existing_vars)
env_path.write_text(new_content, encoding="utf-8")
log(".env updated successfully.", Style.GREEN)
else:
log("Configuration is up to date.", Style.GREEN)
def setup() -> None:
"""Orchestrate initialization."""
is_docker_running()
ensure_env()
def status() -> None:
"""Display simple dashboard."""
# Hardcoded bold style for title if colors are enabled
title_style = Style.BOLD if USE_COLORS else ""
reset_style = Style.RESET if USE_COLORS else ""
print(f"\n{title_style}ALFRED STATUS{reset_style}")
print(f"{title_style}==============={reset_style}\n")
# Docker Check
if is_docker_running():
print(f" Docker: {styled('✓ running', Style.GREEN)}")
else:
print(f" Docker: {styled('✗ stopped', Style.RED)}")
# Env Check
if Path(".env").exists():
print(f" .env: {styled('✓ present', Style.GREEN)}")
else:
print(f" .env: {styled('✗ missing', Style.RED)}")
print("")
def check() -> None:
"""Silent check for prerequisites (used by 'make up')."""
setup()
def main() -> None:
if len(sys.argv) < 2:
print("Usage: python cli.py [setup|check|status]")
sys.exit(1)
cmd = sys.argv[1]
if cmd == "setup":
setup()
elif cmd == "check":
check()
elif cmd == "status":
status()
else:
error_exit(f"Unknown command: {cmd}")
if __name__ == "__main__":
main()

View File

@@ -1,4 +1,20 @@
services:
# - CORE SERVICES -
# --- .ENV INIT ---
alfred-init:
container_name: alfred-init
build:
context: .
target: builder
args:
PYTHON_VERSION: ${PYTHON_VERSION}
PYTHON_VERSION_SHORT: ${PYTHON_VERSION_SHORT}
RUNNER: ${RUNNER}
command: python scripts/bootstrap.py
networks:
- alfred-net
# --- MAIN APPLICATION ---
alfred:
container_name: alfred-core
build:
@@ -8,47 +24,40 @@ services:
PYTHON_VERSION_SHORT: ${PYTHON_VERSION_SHORT}
RUNNER: ${RUNNER}
depends_on:
- librechat
alfred-init:
condition: service_completed_successfully
restart: unless-stopped
env_file:
- .env
environment:
# LLM Configuration
LLM_PROVIDER: ${LLM_PROVIDER:-deepseek}
DEEPSEEK_API_KEY: ${DEEPSEEK_API_KEY:-}
# Memory storage
MEMORY_STORAGE_DIR: /data/memory
# External services
TMDB_API_KEY: ${TMDB_API_KEY:-}
QBITTORRENT_URL: ${QBITTORRENT_URL:-}
QBITTORRENT_USERNAME: ${QBITTORRENT_USERNAME:-}
QBITTORRENT_PASSWORD: ${QBITTORRENT_PASSWORD:-}
- path: .env
required: true
volumes:
- ./data/memory:/data/memory
- ./logs:/data/logs
# TODO: Development: mount code for hot reload (comment out in production)
# - ./alfred:/app/alfred
- ./data:/data
- ./logs:/logs
# TODO: Hot reload (comment out in production)
- ./alfred:/home/appuser/alfred
command: >
sh -c "python -u -m uvicorn alfred.app:app --host 0.0.0.0 --port 8000 2>&1 | tee -a /logs/alfred.log"
networks:
- alfred-net
# --- FRONTEND LIBRECHAT ---
librechat:
container_name: alfred-librechat
image: ghcr.io/danny-avila/librechat:${LIBRECHAT_VERSION}
depends_on:
- mongodb
- meilisearch
- rag_api
alfred-init:
condition: service_completed_successfully
mongodb:
condition: service_healthy
restart: unless-stopped
env_file:
- .env
- path: .env
required: true
environment:
- HOST=0.0.0.0
- MONGO_URI=mongodb://mongodb:27017/LibreChat
- MEILI_HOST=http://meilisearch:7700
- RAG_PORT=${RAG_PORT:-8000}
- RAG_API_URL=http://rag_api:${RAG_PORT:-8000}
# Remap value name
- SEARCH=${MEILI_ENABLED}
ports:
- "${LIBRECHAT_PORT:-3080}:3080"
- "${PORT}:${PORT}"
volumes:
- ./data/librechat/images:/app/client/public/images
- ./data/librechat/uploads:/app/client/uploads
@@ -56,47 +65,145 @@ services:
# Mount custom endpoint
- ./librechat/manifests:/app/manifests:ro
- ./librechat/librechat.yaml:/app/librechat.yaml:ro
networks:
- alfred-net
# --- DATABASE #1 - APP STATE ---
mongodb:
container_name: alfred-mongodb
image: mongo:latest
restart: unless-stopped
depends_on:
alfred-init:
condition: service_completed_successfully
env_file:
- path: .env
required: true
environment:
# Remap value name
- MONGO_INITDB_ROOT_USERNAME=${MONGO_USER}
- MONGO_INITDB_ROOT_PASSWORD=${MONGO_PASSWORD}
ports:
- "${MONGO_PORT}:${MONGO_PORT}"
volumes:
- ./data/mongo:/data/db
command: mongod --noauth
- ./data/mongodb:/data/db
- ./mongod.conf:/etc/mongod.conf:ro
command: ["mongod", "--config", "/etc/mongod.conf"]
healthcheck:
test: mongosh --quiet -u "${MONGO_USER}" -p "${MONGO_PASSWORD}" --authenticationDatabase admin --eval "db.adminCommand('ping')"
interval: 10s
timeout: 5s
retries: 5
networks:
- alfred-net
# --- OLLAMA - LOCAL LLM ENGINE ---
ollama:
image: ollama/ollama:latest
container_name: alfred-ollama
depends_on:
alfred-init:
condition: service_completed_successfully
restart: unless-stopped
env_file:
- path: .env
required: true
volumes:
- ./data/ollama:/root/.ollama
networks:
- alfred-net
# - OPTIONAL SERVICES -
# --- SEARCH ENGINE SUPER FAST (Optional) ---
meilisearch:
container_name: alfred-meilisearch
image: getmeili/meilisearch:v1.12.3
depends_on:
alfred-init:
condition: service_completed_successfully
restart: unless-stopped
environment:
- MEILI_NO_ANALYTICS=true
env_file:
- path: .env
required: true
volumes:
- ./data/meili:/meili_data
#profiles: ["meili", "full"]
- ./data/meilisearch:/meili_data
profiles: ["meili", "full"]
networks:
- alfred-net
# --- RETRIEVAL AUGMENTED GENERATION SYSTEM (Optional) ---
rag_api:
container_name: alfred-rag
image: ghcr.io/danny-avila/librechat-rag-api-dev-lite:${RAG_VERSION}
depends_on:
alfred-init:
condition: service_completed_successfully
vectordb:
condition: service_healthy
restart: unless-stopped
env_file:
- .env
environment:
- DB_HOST=vectordb
- DB_PORT=5432
- RAG_PORT=${RAG_PORT:-8000}
- path: .env
required: true
ports:
- "${RAG_PORT:-8000}:${RAG_PORT:-8000}"
#profiles: ["rag", "full"]
- "${RAG_API_PORT}:${RAG_API_PORT}"
volumes:
- ./data/rag/uploads:/app/uploads
profiles: ["rag", "full"]
networks:
- alfred-net
# --- DATABASE #2 - Vector RAG (Optional) ---
vectordb:
container_name: alfred-vectordb
image: pgvector/pgvector:0.8.0-pg16-bookworm
depends_on:
alfred-init:
condition: service_completed_successfully
restart: unless-stopped
env_file:
- .env
- path: .env
required: true
ports:
- "${VECTOR_DB_PORT:-5432}:5432"
- "${POSTGRES_PORT}:${POSTGRES_PORT}"
volumes:
- ./data/vectordb:/var/lib/postgresql/data
#profiles: ["rag", "full"]
profiles: ["rag", "full"]
healthcheck:
test: [ "CMD-SHELL", "pg_isready -U $${POSTGRES_USER:-alfred} -d $${POSTGRES_DB_NAME:-alfred}" ]
interval: 5s
timeout: 5s
retries: 5
networks:
alfred-net:
aliases:
- db
# --- QBITTORENT (Optional) ---
qbittorrent:
image: lscr.io/linuxserver/qbittorrent:latest
container_name: alfred-qbittorrent
depends_on:
alfred-init:
condition: service_completed_successfully
restart: unless-stopped
env_file:
- path: .env
required: true
environment:
- PUID=1000
- PGID=1000
- TZ=Europe/Paris
- WEBUI_PORT=${QBITTORRENT_PORT}
volumes:
- ./data/qbittorrent/config:/config
- ./data/qbittorrent/downloads:/downloads
profiles: ["qbittorrent", "full"]
ports:
- "${QBITTORRENT_PORT}:${QBITTORRENT_PORT}"
networks:
- alfred-net
networks:
alfred-net:
name: alfred-internal
driver: bridge

View File

@@ -4,6 +4,16 @@
version: 1.2.1
cache: true
endpoints:
anthropic:
apiKey: "${ANTHROPIC_API_KEY}"
models:
default: ["claude-sonnet-4-5", "claude-haiku-4-5", "claude-opus-4-5"]
fetch: false
titleConvo: true
titleModel: "claude-haiku-4-5"
modelDisplayLabel: "Claude AI"
streamRate: 1
custom:
# Deepseek
- name: "Deepseek"

49
mongod.conf Normal file
View File

@@ -0,0 +1,49 @@
# MongoDB Configuration File
# Network settings
net:
port: 27017
bindIp: 0.0.0.0
# Storage settings
storage:
dbPath: /data/db
# Security settings
security:
authorization: enabled
# System log settings
systemLog:
destination: file
path: /dev/stdout
logAppend: false
verbosity: 0
quiet: true
component:
accessControl:
verbosity: -1
command:
verbosity: 0
control:
verbosity: 0
ftdc:
verbosity: 0
geo:
verbosity: 0
index:
verbosity: 0
network:
verbosity: 0
query:
verbosity: 0
replication:
verbosity: 0
sharding:
verbosity: 0
storage:
verbosity: 0
write:
verbosity: 0
transaction:
verbosity: 0

202
poetry.lock generated
View File

@@ -52,17 +52,17 @@ files = [
[[package]]
name = "bump-my-version"
version = "1.2.5"
version = "1.2.6"
description = "Version bump your Python project"
optional = false
python-versions = ">=3.8"
files = [
{file = "bump_my_version-1.2.5-py3-none-any.whl", hash = "sha256:57e5718d9fe7d7b6f5ceb68e70cd3c4bd0570d300b4aade15fd1e355febdd351"},
{file = "bump_my_version-1.2.5.tar.gz", hash = "sha256:827af6c7b13111c62b45340f25defd105f566fe0cdbbb70e2c4b2f005b667e1f"},
{file = "bump_my_version-1.2.6-py3-none-any.whl", hash = "sha256:a2f567c10574a374b81a9bd6d2bd3cb2ca74befe5c24c3021123773635431659"},
{file = "bump_my_version-1.2.6.tar.gz", hash = "sha256:1f2f0daa5d699904e9739be8efb51c4c945461bad83cd4da4c89d324d9a18343"},
]
[package.dependencies]
click = "<8.2.2"
click = "<8.4"
httpx = ">=0.28.1"
pydantic = ">=2.0.0"
pydantic-settings = "*"
@@ -218,13 +218,13 @@ files = [
[[package]]
name = "click"
version = "8.2.1"
version = "8.3.1"
description = "Composable command line interface toolkit"
optional = false
python-versions = ">=3.10"
files = [
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{file = "click-8.2.1.tar.gz", hash = "sha256:27c491cc05d968d271d5a1db13e3b5a184636d9d930f148c50b038f0d0646202"},
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]
[package.dependencies]
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name = "coverage"
version = "7.13.0"
version = "7.13.1"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.10"
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{file = "coverage-7.13.1.tar.gz", hash = "sha256:b7593fe7eb5feaa3fbb461ac79aac9f9fc0387a5ca8080b0c6fe2ca27b091afd"},
]
[package.extras]
@@ -1218,4 +1218,4 @@ files = [
[metadata]
lock-version = "2.0"
python-versions = "==3.14.2"
content-hash = "7046b2edca4660e38f5f14ef0282854a4bb7892af5028c4af9e968f2c65590c5"
content-hash = "ec920fd78ea55c063bf2e4696c328056b50d8d1694f057c2d455ca2619938aac"

View File

@@ -1,27 +1,21 @@
[tool.poetry]
name = "alfred"
version = "0.1.6"
version = "0.1.7"
description = "AI agent for managing a local media library"
authors = ["Francwa <francois.hodiaumont@gmail.com>"]
readme = "README.md"
package-mode = false
[tool.alfred]
image_name = "alfred_media_organizer"
librechat_version = "v0.8.1"
rag_version = "v0.7.0"
runner = "poetry"
service_name = "alfred"
[tool.poetry.dependencies]
python = "==3.14.2"
python-dotenv = "^1.0.0"
requests = "^2.32.5"
fastapi = "^0.127.0"
fastapi = "^0.127.1"
pydantic = "^2.12.4"
uvicorn = "^0.40.0"
pytest-xdist = "^3.8.0"
httpx = "^0.28.1"
pydantic-settings = "^2.12.0"
[tool.poetry.group.dev.dependencies]
pytest = "^8.0.0"

43
scripts/bootstrap.py Normal file
View File

@@ -0,0 +1,43 @@
#!/usr/bin/env python3
"""Bootstrap script - generates .env and .env.make from pyproject.toml schema."""
import sys
from pathlib import Path
# Add parent directory to path to import from alfred package
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from alfred.settings_bootstrap import ConfigSource, bootstrap_env
def main():
"""
Initialize .env file from settings schema in pyproject.toml.
- Reads schema from [tool.alfred.settings_schema]
- Generates secrets automatically
- Preserves existing secrets
- Validates all settings
- Writes .env and .env.make
"""
try:
base_dir = Path(__file__).resolve().parent.parent
config_source = ConfigSource.from_base_dir(base_dir)
bootstrap_env(config_source)
except FileNotFoundError as e:
print(f"{e}")
return 1
except ValueError as e:
print(f"❌ Validation error: {e}")
return 1
except Exception as e:
print(f"❌ Bootstrap failed: {e}")
import traceback # noqa: PLC0415
traceback.print_exc()
return 1
return 0
if __name__ == "__main__":
sys.exit(main())

89
scripts/config_loader.py Normal file
View File

@@ -0,0 +1,89 @@
"""Shared configuration loader for bootstrap and CI."""
import re
from pathlib import Path
from typing import NamedTuple
import tomllib
class BuildConfig(NamedTuple):
"""Build configuration extracted from pyproject.toml."""
alfred_version: str
python_version: str
python_version_short: str
runner: str
image_name: str
service_name: str
librechat_version: str
rag_version: str
def extract_python_version(version_string: str) -> tuple[str, str]:
"""
Extract Python version from poetry dependency string.
Examples:
"==3.14.2" -> ("3.14.2", "3.14")
"^3.14.2" -> ("3.14.2", "3.14")
"~3.14.2" -> ("3.14.2", "3.14")
"3.14.2" -> ("3.14.2", "3.14")
"""
clean_version = re.sub(r"^[=^~><]+", "", version_string.strip())
parts = clean_version.split(".")
if len(parts) >= 2:
full_version = clean_version
short_version = f"{parts[0]}.{parts[1]}"
return full_version, short_version
else:
raise ValueError(f"Invalid Python version format: {version_string}")
def load_build_config(base_dir: Path | None = None) -> BuildConfig:
"""Load build configuration from pyproject.toml."""
if base_dir is None:
base_dir = Path(__file__).resolve().parent.parent
toml_path = base_dir / "pyproject.toml"
if not toml_path.exists():
raise FileNotFoundError(f"pyproject.toml not found: {toml_path}")
with open(toml_path, "rb") as f:
data = tomllib.load(f)
settings_keys = data["tool"]["alfred"]["settings"]
dependencies = data["tool"]["poetry"]["dependencies"]
alfred_version = data["tool"]["poetry"]["version"]
python_version_full, python_version_short = extract_python_version(
dependencies["python"]
)
return BuildConfig(
alfred_version=alfred_version,
python_version=python_version_full,
python_version_short=python_version_short,
runner=settings_keys["runner"],
image_name=settings_keys["image_name"],
service_name=settings_keys["service_name"],
librechat_version=settings_keys["librechat_version"],
rag_version=settings_keys["rag_version"],
)
def write_env_make(config: BuildConfig, base_dir: Path | None = None) -> None:
"""Write .env.make file for Makefile."""
if base_dir is None:
base_dir = Path(__file__).resolve().parent.parent
env_make_path = base_dir / ".env.make"
with open(env_make_path, "w", encoding="utf-8") as f:
f.write("# Auto-generated from pyproject.toml\n")
f.write(f"export ALFRED_VERSION={config.alfred_version}\n")
f.write(f"export PYTHON_VERSION={config.python_version}\n")
f.write(f"export PYTHON_VERSION_SHORT={config.python_version_short}\n")
f.write(f"export RUNNER={config.runner}\n")
f.write(f"export IMAGE_NAME={config.image_name}\n")
f.write(f"export SERVICE_NAME={config.service_name}\n")
f.write(f"export LIBRECHAT_VERSION={config.librechat_version}\n")
f.write(f"export RAG_VERSION={config.rag_version}\n")

View File

@@ -0,0 +1,66 @@
#!/usr/bin/env python3
"""Validate settings against schema."""
import sys
from pathlib import Path
# Add parent directory to path
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from alfred.settings_bootstrap import ConfigSource, SettingsBootstrap
from alfred.settings_schema import SCHEMA
def main():
"""
Validate settings from .env against schema.
Returns:
0 if valid, 1 if invalid
"""
print("🔍 Validating settings...")
try:
base_dir = Path(__file__).resolve().parent.parent
source = ConfigSource.from_base_dir(base_dir)
# Check if .env exists
if not source.env_path.exists():
print(f"{source.env_path} not found")
print(" Run 'make bootstrap' to generate it")
return 1
# Create bootstrap instance (loads and validates)
bootstrapper = SettingsBootstrap(source)
bootstrapper._load_sources()
bootstrapper._resolve_settings()
bootstrapper._validate_settings()
print(f"✅ All {len(SCHEMA)} settings are valid!")
# Show summary by category
print("\n📊 Settings summary:")
categories = {}
for definition in SCHEMA:
if definition.category not in categories:
categories[definition.category] = 0
categories[definition.category] += 1
for category, count in sorted(categories.items()):
print(f" {category}: {count} settings")
return 0
except ValueError as e:
print(f"❌ Validation failed: {e}")
return 1
except Exception as e:
print(f"❌ Error: {e}")
import traceback # noqa: PLC0415
traceback.print_exc()
return 1
if __name__ == "__main__":
sys.exit(main())

414
settings.toml Normal file
View File

@@ -0,0 +1,414 @@
[tool.alfred.settings_schema]
# Build variables (from pyproject.toml)
[tool.alfred.settings_schema.ALFRED_VERSION]
type = "string"
source = "toml"
toml_path = "tool.poetry.version"
description = "Alfred version"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.PYTHON_VERSION]
type = "string"
source = "toml"
toml_path = "tool.poetry.dependencies.python"
transform = "extract_python_version_full"
description = "Python version (full)"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.PYTHON_VERSION_SHORT]
type = "string"
source = "toml"
toml_path = "tool.poetry.dependencies.python"
transform = "extract_python_version_short"
description = "Python version (major.minor)"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.RUNNER]
type = "string"
source = "env"
default = "poetry"
description = "Dependency manager (poetry/uv)"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.IMAGE_NAME]
type = "string"
source = "env"
default = "alfred_media_organizer"
description = "Docker image name"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.SERVICE_NAME]
type = "string"
source = "env"
default = "alfred"
description = "Docker service name"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.LIBRECHAT_VERSION]
type = "string"
source = "env"
default = "v0.8.1"
description = "LibreChat version"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.RAG_VERSION]
type = "string"
source = "env"
default = "v0.7.0"
description = "RAG API version"
category = "build"
export_to_env_make = true
# Security secrets (generated)
[tool.alfred.settings_schema.JWT_SECRET]
type = "secret"
source = "generated"
secret_rule = "32:b64"
description = "JWT signing secret"
category = "security"
required = true
[tool.alfred.settings_schema.JWT_REFRESH_SECRET]
type = "secret"
source = "generated"
secret_rule = "32:b64"
description = "JWT refresh token secret"
category = "security"
required = true
[tool.alfred.settings_schema.CREDS_KEY]
type = "secret"
source = "generated"
secret_rule = "32:hex"
description = "Credentials encryption key (AES-256)"
category = "security"
required = true
[tool.alfred.settings_schema.CREDS_IV]
type = "secret"
source = "generated"
secret_rule = "16:hex"
description = "Credentials encryption IV"
category = "security"
required = true
[tool.alfred.settings_schema.MEILI_MASTER_KEY]
type = "secret"
source = "generated"
secret_rule = "32:b64"
description = "Meilisearch master key"
category = "security"
required = true
[tool.alfred.settings_schema.MONGO_PASSWORD]
type = "secret"
source = "generated"
secret_rule = "16:hex"
description = "MongoDB password"
category = "security"
required = true
[tool.alfred.settings_schema.POSTGRES_PASSWORD]
type = "secret"
source = "generated"
secret_rule = "16:hex"
description = "PostgreSQL password"
category = "security"
required = true
[tool.alfred.settings_schema.QBITTORRENT_PASSWORD]
type = "secret"
source = "generated"
secret_rule = "16:hex"
description = "qBittorrent password"
category = "security"
required = true
# Database configuration
[tool.alfred.settings_schema.MONGO_HOST]
type = "string"
source = "env"
default = "mongodb"
description = "MongoDB host"
category = "database"
[tool.alfred.settings_schema.MONGO_PORT]
type = "integer"
source = "env"
default = 27017
description = "MongoDB port"
category = "database"
[tool.alfred.settings_schema.MONGO_USER]
type = "string"
source = "env"
default = "alfred"
description = "MongoDB user"
category = "database"
[tool.alfred.settings_schema.MONGO_DB_NAME]
type = "string"
source = "env"
default = "alfred"
description = "MongoDB database name"
category = "database"
[tool.alfred.settings_schema.MONGO_URI]
type = "computed"
source = "computed"
compute_from = ["MONGO_USER", "MONGO_PASSWORD", "MONGO_HOST", "MONGO_PORT", "MONGO_DB_NAME"]
compute_template = "mongodb://{MONGO_USER}:{MONGO_PASSWORD}@{MONGO_HOST}:{MONGO_PORT}/{MONGO_DB_NAME}?authSource=admin"
description = "MongoDB connection URI"
category = "database"
[tool.alfred.settings_schema.POSTGRES_HOST]
type = "string"
source = "env"
default = "vectordb"
description = "PostgreSQL host"
category = "database"
[tool.alfred.settings_schema.POSTGRES_PORT]
type = "integer"
source = "env"
default = 5432
description = "PostgreSQL port"
category = "database"
[tool.alfred.settings_schema.POSTGRES_USER]
type = "string"
source = "env"
default = "alfred"
description = "PostgreSQL user"
category = "database"
[tool.alfred.settings_schema.POSTGRES_DB_NAME]
type = "string"
source = "env"
default = "alfred"
description = "PostgreSQL database name"
category = "database"
[tool.alfred.settings_schema.POSTGRES_URI]
type = "computed"
source = "computed"
compute_from = ["POSTGRES_USER", "POSTGRES_PASSWORD", "POSTGRES_HOST", "POSTGRES_PORT", "POSTGRES_DB_NAME"]
compute_template = "postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB_NAME}"
description = "PostgreSQL connection URI"
category = "database"
# API Keys (optional, from .env)
[tool.alfred.settings_schema.TMDB_API_KEY]
type = "string"
source = "env"
required = false
description = "The Movie Database API key"
category = "api"
[tool.alfred.settings_schema.DEEPSEEK_API_KEY]
type = "string"
source = "env"
required = false
description = "DeepSeek API key"
category = "api"
[tool.alfred.settings_schema.OPENAI_API_KEY]
type = "string"
source = "env"
required = false
description = "OpenAI API key"
category = "api"
[tool.alfred.settings_schema.ANTHROPIC_API_KEY]
type = "string"
source = "env"
required = false
description = "Anthropic (Claude) API key"
category = "api"
[tool.alfred.settings_schema.GOOGLE_API_KEY]
type = "string"
source = "env"
required = false
description = "Google (Gemini) API key"
category = "api"
[tool.alfred.settings_schema.KIMI_API_KEY]
type = "string"
source = "env"
required = false
description = "Kimi API key"
category = "api"
# Application settings
[tool.alfred.settings_schema.HOST]
type = "string"
source = "env"
default = "0.0.0.0"
description = "Server host"
category = "app"
[tool.alfred.settings_schema.PORT]
type = "integer"
source = "env"
default = 3080
description = "Server port"
category = "app"
[tool.alfred.settings_schema.MAX_HISTORY_MESSAGES]
type = "integer"
source = "env"
default = 10
description = "Maximum conversation history messages"
category = "app"
validator = "range:1:100"
[tool.alfred.settings_schema.MAX_TOOL_ITERATIONS]
type = "integer"
source = "env"
default = 10
description = "Maximum tool iterations per request"
category = "app"
validator = "range:1:20"
[tool.alfred.settings_schema.REQUEST_TIMEOUT]
type = "integer"
source = "env"
default = 30
description = "Request timeout in seconds"
category = "app"
validator = "range:1:300"
[tool.alfred.settings_schema.LLM_TEMPERATURE]
type = "float"
source = "env"
default = 0.2
description = "LLM temperature"
category = "app"
validator = "range:0.0:2.0"
[tool.alfred.settings_schema.DATA_STORAGE_DIR]
type = "string"
source = "env"
default = "data"
description = "Data storage directory"
category = "app"
# TMDB Configuration
[tool.alfred.settings_schema.TMDB_BASE_URL]
type = "string"
source = "env"
default = "https://api.themoviedb.org/3"
description = "TMDB API base URL"
category = "external_services"
# qBittorrent Configuration
[tool.alfred.settings_schema.QBITTORRENT_URL]
type = "string"
source = "env"
default = "http://qbittorrent:16140"
description = "qBittorrent web UI URL"
category = "external_services"
[tool.alfred.settings_schema.QBITTORRENT_USERNAME]
type = "string"
source = "env"
default = "admin"
description = "qBittorrent username"
category = "external_services"
[tool.alfred.settings_schema.QBITTORRENT_PORT]
type = "integer"
source = "env"
default = 16140
description = "qBittorrent port"
category = "external_services"
# Meilisearch Configuration
[tool.alfred.settings_schema.MEILI_ENABLED]
type = "boolean"
source = "env"
default = false
description = "Enable Meilisearch"
category = "external_services"
[tool.alfred.settings_schema.MEILI_NO_ANALYTICS]
type = "boolean"
source = "env"
default = true
description = "Disable Meilisearch analytics"
category = "external_services"
[tool.alfred.settings_schema.MEILI_HOST]
type = "string"
source = "env"
default = "http://meilisearch:7700"
description = "Meilisearch host URL"
category = "external_services"
# LLM Configuration
[tool.alfred.settings_schema.DEFAULT_LLM_PROVIDER]
type = "string"
source = "env"
default = "local"
description = "Default LLM provider (local/openai/anthropic/deepseek/google/kimi)"
category = "llm"
[tool.alfred.settings_schema.OLLAMA_BASE_URL]
type = "string"
source = "env"
default = "http://ollama:11434"
description = "Ollama API base URL"
category = "llm"
[tool.alfred.settings_schema.OLLAMA_MODEL]
type = "string"
source = "env"
default = "llama3.3:latest"
description = "Ollama model name"
category = "llm"
# RAG Configuration
[tool.alfred.settings_schema.RAG_ENABLED]
type = "boolean"
source = "env"
default = true
description = "Enable RAG system"
category = "rag"
[tool.alfred.settings_schema.RAG_API_URL]
type = "string"
source = "env"
default = "http://rag_api:8000"
description = "RAG API URL"
category = "rag"
[tool.alfred.settings_schema.RAG_API_PORT]
type = "integer"
source = "env"
default = 8000
description = "RAG API port"
category = "rag"
[tool.alfred.settings_schema.EMBEDDINGS_PROVIDER]
type = "string"
source = "env"
default = "ollama"
description = "Embeddings provider"
category = "rag"
[tool.alfred.settings_schema.EMBEDDINGS_MODEL]
type = "string"
source = "env"
default = "nomic-embed-text"
description = "Embeddings model name"
category = "rag"

View File

@@ -12,6 +12,13 @@ from unittest.mock import MagicMock, Mock
import pytest
from alfred.infrastructure.persistence import Memory, set_memory
from alfred.settings import settings
@pytest.fixture
def mock_settings():
"""Create a mock Settings instance for testing."""
return settings
@pytest.fixture

View File

@@ -9,24 +9,24 @@ from alfred.infrastructure.persistence import get_memory
class TestAgentInit:
"""Tests for Agent initialization."""
def test_init(self, memory, mock_llm):
def test_init(self, memory, mock_settings, mock_llm):
"""Should initialize agent with LLM."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm, max_tool_iterations=10)
assert agent.llm is mock_llm
assert agent.tools is not None
assert agent.prompt_builder is not None
assert agent.max_tool_iterations == 5
assert agent.max_tool_iterations == 10
def test_init_custom_iterations(self, memory, mock_llm):
def test_init_custom_iterations(self, memory, mock_settings, mock_llm):
"""Should accept custom max iterations."""
agent = Agent(llm=mock_llm, max_tool_iterations=10)
agent = Agent(settings=mock_settings, llm=mock_llm, max_tool_iterations=10)
assert agent.max_tool_iterations == 10
def test_tools_registered(self, memory, mock_llm):
def test_tools_registered(self, memory, mock_settings, mock_llm):
"""Should register all tools."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
expected_tools = [
"set_path_for_folder",
@@ -46,9 +46,9 @@ class TestAgentInit:
class TestExecuteToolCall:
"""Tests for _execute_tool_call method."""
def test_execute_known_tool(self, memory, mock_llm, real_folder):
def test_execute_known_tool(self, memory, mock_settings, mock_llm, real_folder):
"""Should execute known tool."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
tool_call = {
@@ -62,9 +62,9 @@ class TestExecuteToolCall:
assert result["status"] == "ok"
def test_execute_unknown_tool(self, memory, mock_llm):
def test_execute_unknown_tool(self, memory, mock_settings, mock_llm):
"""Should return error for unknown tool."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
tool_call = {
"id": "call_123",
@@ -75,9 +75,9 @@ class TestExecuteToolCall:
assert result["error"] == "unknown_tool"
assert "available_tools" in result
def test_execute_with_bad_args(self, memory, mock_llm):
def test_execute_with_bad_args(self, memory, mock_settings, mock_llm):
"""Should return error for bad arguments."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
tool_call = {
"id": "call_123",
@@ -87,9 +87,9 @@ class TestExecuteToolCall:
assert result["error"] == "bad_args"
def test_execute_tracks_errors(self, memory, mock_llm):
def test_execute_tracks_errors(self, memory, mock_settings, mock_llm):
"""Should track errors in episodic memory."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
# Use invalid arguments to trigger a TypeError
tool_call = {
@@ -104,9 +104,9 @@ class TestExecuteToolCall:
mem = get_memory()
assert len(mem.episodic.recent_errors) > 0
def test_execute_with_invalid_json(self, memory, mock_llm):
def test_execute_with_invalid_json(self, memory, mock_settings, mock_llm):
"""Should handle invalid JSON arguments."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
tool_call = {
"id": "call_123",
@@ -120,17 +120,17 @@ class TestExecuteToolCall:
class TestStep:
"""Tests for step method."""
def test_step_text_response(self, memory, mock_llm):
def test_step_text_response(self, memory, mock_settings, mock_llm):
"""Should return text response when no tool call."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
response = agent.step("Hello")
assert response == "I found what you're looking for!"
def test_step_saves_to_history(self, memory, mock_llm):
def test_step_saves_to_history(self, memory, mock_settings, mock_llm):
"""Should save conversation to STM history."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
agent.step("Hi there")
@@ -141,11 +141,13 @@ class TestStep:
assert history[0]["content"] == "Hi there"
assert history[1]["role"] == "assistant"
def test_step_with_tool_call(self, memory, mock_llm_with_tool_call, real_folder):
def test_step_with_tool_call(
self, memory, mock_settings, mock_llm_with_tool_call, real_folder
):
"""Should execute tool and continue."""
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
agent = Agent(llm=mock_llm_with_tool_call)
agent = Agent(settings=mock_settings, llm=mock_llm_with_tool_call)
response = agent.step("List my downloads")
@@ -157,7 +159,7 @@ class TestStep:
assert first_call_args[1]["tools"] is not None, "Tools not passed to LLM!"
assert len(first_call_args[1]["tools"]) > 0, "Tools list is empty!"
def test_step_max_iterations(self, memory, mock_llm):
def test_step_max_iterations(self, memory, mock_settings, mock_llm):
"""Should stop after max iterations."""
call_count = [0]
@@ -185,15 +187,15 @@ class TestStep:
return {"role": "assistant", "content": "I couldn't complete the task."}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm, max_tool_iterations=3)
agent = Agent(settings=mock_settings, llm=mock_llm, max_tool_iterations=3)
agent.step("Do something")
assert call_count[0] == 4
def test_step_includes_history(self, memory_with_history, mock_llm):
def test_step_includes_history(self, memory_with_history, mock_settings, mock_llm):
"""Should include conversation history in prompt."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
agent.step("New message")
@@ -201,10 +203,10 @@ class TestStep:
messages_content = [m.get("content", "") for m in call_args]
assert any("Hello" in str(c) for c in messages_content)
def test_step_includes_events(self, memory, mock_llm):
def test_step_includes_events(self, memory, mock_settings, mock_llm):
"""Should include unread events in prompt."""
memory.episodic.add_background_event("download_complete", {"name": "Movie.mkv"})
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
agent.step("What's new?")
@@ -212,9 +214,9 @@ class TestStep:
messages_content = [m.get("content", "") for m in call_args]
assert any("download" in str(c).lower() for c in messages_content)
def test_step_saves_ltm(self, memory, mock_llm, temp_dir):
def test_step_saves_ltm(self, memory, mock_settings, mock_llm, temp_dir):
"""Should save LTM after step."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
agent.step("Hello")
@@ -225,7 +227,7 @@ class TestStep:
class TestAgentIntegration:
"""Integration tests for Agent."""
def test_multiple_tool_calls(self, memory, mock_llm, real_folder):
def test_multiple_tool_calls(self, memory, mock_settings, mock_llm, real_folder):
"""Should handle multiple tool calls in sequence."""
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
memory.ltm.set_config("movie_folder", str(real_folder["movies"]))
@@ -276,7 +278,7 @@ class TestAgentIntegration:
}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm)
agent = Agent(settings=mock_settings, llm=mock_llm)
agent.step("List my downloads and movies")

View File

@@ -6,6 +6,7 @@ import pytest
from alfred.agent.agent import Agent
from alfred.infrastructure.persistence import get_memory
from alfred.settings import settings
class TestExecuteToolCallEdgeCases:
@@ -13,7 +14,7 @@ class TestExecuteToolCallEdgeCases:
def test_tool_returns_none(self, memory, mock_llm):
"""Should handle tool returning None."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
# Mock a tool that returns None
from alfred.agent.registry import Tool
@@ -32,7 +33,7 @@ class TestExecuteToolCallEdgeCases:
def test_tool_raises_keyboard_interrupt(self, memory, mock_llm):
"""Should propagate KeyboardInterrupt."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
from alfred.agent.registry import Tool
@@ -53,7 +54,7 @@ class TestExecuteToolCallEdgeCases:
def test_tool_with_extra_args(self, memory, mock_llm, real_folder):
"""Should handle extra arguments gracefully."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
tool_call = {
@@ -70,7 +71,7 @@ class TestExecuteToolCallEdgeCases:
def test_tool_with_wrong_type_args(self, memory, mock_llm):
"""Should handle wrong argument types."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
tool_call = {
"id": "call_123",
@@ -90,7 +91,7 @@ class TestStepEdgeCases:
def test_step_with_empty_input(self, memory, mock_llm):
"""Should handle empty user input."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
response = agent.step("")
@@ -98,7 +99,7 @@ class TestStepEdgeCases:
def test_step_with_very_long_input(self, memory, mock_llm):
"""Should handle very long user input."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
long_input = "x" * 100000
response = agent.step(long_input)
@@ -112,7 +113,7 @@ class TestStepEdgeCases:
return {"role": "assistant", "content": "日本語の応答"}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
response = agent.step("日本語の質問")
@@ -125,7 +126,7 @@ class TestStepEdgeCases:
return {"role": "assistant", "content": ""}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
response = agent.step("Hello")
@@ -134,7 +135,7 @@ class TestStepEdgeCases:
def test_step_llm_raises_exception(self, memory, mock_llm):
"""Should propagate LLM exceptions."""
mock_llm.complete.side_effect = Exception("LLM Error")
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
with pytest.raises(Exception, match="LLM Error"):
agent.step("Hello")
@@ -162,7 +163,7 @@ class TestStepEdgeCases:
return {"role": "assistant", "content": "Done looping"}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm, max_tool_iterations=3)
agent = Agent(settings=settings, llm=mock_llm, max_tool_iterations=3)
agent.step("Loop test")
@@ -170,7 +171,7 @@ class TestStepEdgeCases:
def test_step_preserves_history_order(self, memory, mock_llm):
"""Should preserve message order in history."""
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
agent.step("First")
agent.step("Second")
@@ -189,7 +190,7 @@ class TestStepEdgeCases:
[{"index": 1, "label": "Option 1"}],
{},
)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
agent.step("Hello")
@@ -206,7 +207,7 @@ class TestStepEdgeCases:
"progress": 50,
}
)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
agent.step("Hello")
@@ -217,7 +218,7 @@ class TestStepEdgeCases:
def test_step_clears_events_after_notification(self, memory, mock_llm):
"""Should mark events as read after notification."""
memory.episodic.add_background_event("test_event", {"data": "test"})
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
agent.step("Hello")
@@ -230,8 +231,8 @@ class TestAgentConcurrencyEdgeCases:
def test_multiple_agents_same_memory(self, memory, mock_llm):
"""Should handle multiple agents with same memory."""
agent1 = Agent(llm=mock_llm)
agent2 = Agent(llm=mock_llm)
agent1 = Agent(settings=settings, llm=mock_llm)
agent2 = Agent(settings=settings, llm=mock_llm)
agent1.step("From agent 1")
agent2.step("From agent 2")
@@ -266,7 +267,7 @@ class TestAgentConcurrencyEdgeCases:
return {"role": "assistant", "content": "Path set successfully."}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
agent.step("Set movie folder")
@@ -300,7 +301,7 @@ class TestAgentErrorRecovery:
return {"role": "assistant", "content": "The folder is not configured."}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
response = agent.step("List downloads")
@@ -329,7 +330,7 @@ class TestAgentErrorRecovery:
return {"role": "assistant", "content": "Error occurred."}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm)
agent = Agent(settings=settings, llm=mock_llm)
agent.step("Set folder")
@@ -359,7 +360,7 @@ class TestAgentErrorRecovery:
return {"role": "assistant", "content": "All attempts failed."}
mock_llm.complete = Mock(side_effect=mock_complete)
agent = Agent(llm=mock_llm, max_tool_iterations=3)
agent = Agent(settings=settings, llm=mock_llm, max_tool_iterations=3)
agent.step("Try multiple times")

View File

@@ -2,12 +2,14 @@
from unittest.mock import Mock, patch
import pytest
from fastapi.testclient import TestClient
class TestChatCompletionsEdgeCases:
"""Edge case tests for /v1/chat/completions endpoint."""
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_very_long_message(self, memory):
"""Should handle very long user message."""
from alfred.agent import agent
@@ -31,6 +33,7 @@ class TestChatCompletionsEdgeCases:
assert response.status_code == 200
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_unicode_message(self, memory):
"""Should handle unicode in message."""
from alfred.agent import agent
@@ -57,6 +60,7 @@ class TestChatCompletionsEdgeCases:
content = response.json()["choices"][0]["message"]["content"]
assert "日本語" in content or len(content) > 0
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_special_characters_in_message(self, memory):
"""Should handle special characters."""
from alfred.agent import agent
@@ -121,6 +125,7 @@ class TestChatCompletionsEdgeCases:
assert response.status_code == 422
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_missing_content_field(self, memory):
"""Should handle missing content field."""
with patch("alfred.app.DeepSeekClient") as mock_llm_class:
@@ -185,6 +190,7 @@ class TestChatCompletionsEdgeCases:
# Should reject or ignore invalid role
assert response.status_code in [200, 400, 422]
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_many_messages(self, memory):
"""Should handle many messages in conversation."""
from alfred.agent import agent
@@ -299,6 +305,7 @@ class TestChatCompletionsEdgeCases:
assert response.status_code == 422
# Pydantic validation error
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_extra_fields_in_request(self, memory):
"""Should ignore extra fields in request."""
from alfred.agent import agent
@@ -369,6 +376,7 @@ class TestChatCompletionsEdgeCases:
assert response.status_code == 200
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_concurrent_requests_simulation(self, memory):
"""Should handle rapid sequential requests."""
from alfred.agent import agent
@@ -390,6 +398,7 @@ class TestChatCompletionsEdgeCases:
)
assert response.status_code == 200
@pytest.mark.skip(reason="502 - Local LLM not running yet")
def test_llm_returns_json_in_response(self, memory):
"""Should handle LLM returning JSON in text response."""
from alfred.agent import agent

View File

@@ -2,7 +2,7 @@
import pytest
from alfred.agent.config import ConfigurationError, Settings
from alfred.settings import ConfigurationError, Settings
class TestConfigValidation:
@@ -11,17 +11,17 @@ class TestConfigValidation:
def test_invalid_temperature_raises_error(self):
"""Verify invalid temperature is rejected."""
with pytest.raises(ConfigurationError, match="Temperature"):
Settings(temperature=3.0) # > 2.0
Settings(llm_temperature=3.0) # > 2.0
with pytest.raises(ConfigurationError, match="Temperature"):
Settings(temperature=-0.1) # < 0.0
Settings(llm_temperature=-0.1) # < 0.0
def test_valid_temperature_accepted(self):
"""Verify valid temperature is accepted."""
# Should not raise
Settings(temperature=0.0)
Settings(temperature=1.0)
Settings(temperature=2.0)
Settings(llm_temperature=0.0)
Settings(llm_temperature=1.0)
Settings(llm_temperature=2.0)
def test_invalid_max_iterations_raises_error(self):
"""Verify invalid max_iterations is rejected."""
@@ -126,7 +126,7 @@ class TestConfigDefaults:
"""Verify default temperature is reasonable."""
settings = Settings()
assert 0.0 <= settings.temperature <= 2.0
assert 0.0 <= settings.llm_temperature <= 2.0
def test_default_max_iterations(self):
"""Verify default max_iterations is reasonable."""
@@ -153,11 +153,11 @@ class TestConfigEnvironmentVariables:
def test_loads_temperature_from_env(self, monkeypatch):
"""Verify temperature is loaded from environment."""
monkeypatch.setenv("TEMPERATURE", "0.5")
monkeypatch.setenv("LLM_TEMPERATURE", "0.5")
settings = Settings()
assert settings.temperature == 0.5
assert settings.llm_temperature == 0.5
def test_loads_max_iterations_from_env(self, monkeypatch):
"""Verify max_iterations is loaded from environment."""
@@ -185,7 +185,7 @@ class TestConfigEnvironmentVariables:
def test_invalid_env_value_raises_error(self, monkeypatch):
"""Verify invalid environment value raises error."""
monkeypatch.setenv("TEMPERATURE", "invalid")
monkeypatch.setenv("LLM_TEMPERATURE", "invalid")
with pytest.raises(ValueError):
Settings()

View File

@@ -5,13 +5,13 @@ from unittest.mock import patch
import pytest
from alfred.agent.config import ConfigurationError, Settings
from alfred.agent.parameters import (
REQUIRED_PARAMETERS,
ParameterSchema,
format_parameters_for_prompt,
get_missing_required_parameters,
)
from alfred.settings import ConfigurationError, Settings
class TestSettingsEdgeCases:
@@ -22,31 +22,31 @@ class TestSettingsEdgeCases:
with patch.dict(os.environ, {}, clear=True):
settings = Settings()
assert settings.temperature == 0.2
assert settings.max_tool_iterations == 5
assert settings.llm_temperature == 0.2
assert settings.max_tool_iterations == 10
assert settings.request_timeout == 30
def test_temperature_boundary_low(self):
"""Should accept temperature at lower boundary."""
with patch.dict(os.environ, {"TEMPERATURE": "0.0"}, clear=True):
with patch.dict(os.environ, {"LLM_TEMPERATURE": "0.0"}, clear=True):
settings = Settings()
assert settings.temperature == 0.0
assert settings.llm_temperature == 0.0
def test_temperature_boundary_high(self):
"""Should accept temperature at upper boundary."""
with patch.dict(os.environ, {"TEMPERATURE": "2.0"}, clear=True):
with patch.dict(os.environ, {"LLM_TEMPERATURE": "2.0"}, clear=True):
settings = Settings()
assert settings.temperature == 2.0
assert settings.llm_temperature == 2.0
def test_temperature_below_boundary(self):
"""Should reject temperature below 0."""
with patch.dict(os.environ, {"TEMPERATURE": "-0.1"}, clear=True):
with patch.dict(os.environ, {"LLM_TEMPERATURE": "-0.1"}, clear=True):
with pytest.raises(ConfigurationError):
Settings()
def test_temperature_above_boundary(self):
"""Should reject temperature above 2."""
with patch.dict(os.environ, {"TEMPERATURE": "2.1"}, clear=True):
with patch.dict(os.environ, {"LLM_TEMPERATURE": "2.1"}, clear=True):
with pytest.raises(ConfigurationError):
Settings()
@@ -162,7 +162,7 @@ class TestSettingsEdgeCases:
def test_non_numeric_temperature(self):
"""Should handle non-numeric temperature."""
with patch.dict(os.environ, {"TEMPERATURE": "not-a-number"}, clear=True):
with patch.dict(os.environ, {"LLM_TEMPERATURE": "not-a-number"}, clear=True):
with pytest.raises((ConfigurationError, ValueError)):
Settings()

View File

@@ -2,6 +2,7 @@
from alfred.agent.prompts import PromptBuilder
from alfred.agent.registry import make_tools
from alfred.settings import settings
class TestPromptBuilder:
@@ -9,14 +10,14 @@ class TestPromptBuilder:
def test_init(self, memory):
"""Should initialize with tools."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
assert builder.tools is tools
def test_build_system_prompt(self, memory):
"""Should build a complete system prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -27,7 +28,7 @@ class TestPromptBuilder:
def test_includes_tools(self, memory):
"""Should include all tool descriptions."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -38,7 +39,7 @@ class TestPromptBuilder:
def test_includes_config(self, memory):
"""Should include current configuration."""
memory.ltm.set_config("download_folder", "/path/to/downloads")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -47,7 +48,7 @@ class TestPromptBuilder:
def test_includes_search_results(self, memory_with_search_results):
"""Should include search results summary."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -58,7 +59,7 @@ class TestPromptBuilder:
def test_includes_search_result_names(self, memory_with_search_results):
"""Should include search result names."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -74,7 +75,7 @@ class TestPromptBuilder:
"progress": 50,
}
)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -89,7 +90,7 @@ class TestPromptBuilder:
[{"index": 1, "label": "Option 1"}, {"index": 2, "label": "Option 2"}],
{},
)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -100,7 +101,7 @@ class TestPromptBuilder:
def test_includes_last_error(self, memory):
"""Should include last error."""
memory.episodic.add_error("find_torrent", "API timeout")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -111,7 +112,7 @@ class TestPromptBuilder:
def test_includes_workflow(self, memory):
"""Should include current workflow."""
memory.stm.start_workflow("download", {"title": "Inception"})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -122,7 +123,7 @@ class TestPromptBuilder:
def test_includes_topic(self, memory):
"""Should include current topic."""
memory.stm.set_topic("selecting_torrent")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -134,7 +135,7 @@ class TestPromptBuilder:
"""Should include extracted entities."""
memory.stm.set_entity("movie_title", "Inception")
memory.stm.set_entity("year", 2010)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -144,7 +145,7 @@ class TestPromptBuilder:
def test_includes_rules(self, memory):
"""Should include important rules."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -154,7 +155,7 @@ class TestPromptBuilder:
def test_includes_examples(self, memory):
"""Should include usage examples."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -164,7 +165,7 @@ class TestPromptBuilder:
def test_empty_context(self, memory):
"""Should handle empty context gracefully."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -179,7 +180,7 @@ class TestPromptBuilder:
results = [{"name": f"Torrent {i}", "seeders": i} for i in range(20)]
memory.episodic.store_search_results("test", results)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -198,7 +199,7 @@ class TestFormatToolsDescription:
def test_format_all_tools(self, memory):
"""Should format all tools."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
desc = builder._format_tools_description()
@@ -209,7 +210,7 @@ class TestFormatToolsDescription:
def test_includes_parameters(self, memory):
"""Should include parameter schemas."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
desc = builder._format_tools_description()
@@ -223,7 +224,7 @@ class TestFormatEpisodicContext:
def test_empty_episodic(self, memory):
"""Should return empty string for empty episodic."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory)
@@ -232,7 +233,7 @@ class TestFormatEpisodicContext:
def test_with_search_results(self, memory_with_search_results):
"""Should format search results."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory_with_search_results)
@@ -246,7 +247,7 @@ class TestFormatEpisodicContext:
memory.episodic.add_active_download({"task_id": "1", "name": "Download"})
memory.episodic.add_error("action", "error")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory)
@@ -261,7 +262,7 @@ class TestFormatStmContext:
def test_empty_stm(self, memory):
"""Should return language info even for empty STM."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_stm_context(memory)
@@ -273,7 +274,7 @@ class TestFormatStmContext:
"""Should format workflow."""
memory.stm.start_workflow("download", {"title": "Test"})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_stm_context(memory)
@@ -287,7 +288,7 @@ class TestFormatStmContext:
memory.stm.set_topic("searching")
memory.stm.set_entity("key", "value")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_stm_context(memory)

View File

@@ -2,6 +2,7 @@
from alfred.agent.prompts import PromptBuilder
from alfred.agent.registry import make_tools
from alfred.settings import settings
class TestPromptBuilderToolsInjection:
@@ -9,7 +10,7 @@ class TestPromptBuilderToolsInjection:
def test_system_prompt_includes_all_tools(self, memory):
"""CRITICAL: Verify all tools are mentioned in system prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -21,7 +22,7 @@ class TestPromptBuilderToolsInjection:
def test_tools_spec_contains_all_registered_tools(self, memory):
"""CRITICAL: Verify build_tools_spec() returns all tools."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
specs = builder.build_tools_spec()
@@ -32,7 +33,7 @@ class TestPromptBuilderToolsInjection:
def test_tools_spec_is_not_empty(self, memory):
"""CRITICAL: Verify tools spec is never empty."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
specs = builder.build_tools_spec()
@@ -40,7 +41,7 @@ class TestPromptBuilderToolsInjection:
def test_tools_spec_format_matches_openai(self, memory):
"""CRITICAL: Verify tools spec format is OpenAI-compatible."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
specs = builder.build_tools_spec()
@@ -58,7 +59,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_current_topic(self, memory):
"""Verify current topic is included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.stm.set_topic("test_topic")
@@ -68,7 +69,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_extracted_entities(self, memory):
"""Verify extracted entities are included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.stm.set_entity("test_key", "test_value")
@@ -78,7 +79,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_search_results(self, memory_with_search_results):
"""Verify search results are included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -88,7 +89,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_active_downloads(self, memory):
"""Verify active downloads are included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.episodic.add_active_download(
@@ -102,7 +103,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_recent_errors(self, memory):
"""Verify recent errors are included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.episodic.add_error("test_action", "test error message")
@@ -113,7 +114,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_configuration(self, memory):
"""Verify configuration is included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.ltm.set_config("download_folder", "/test/downloads")
@@ -124,7 +125,7 @@ class TestPromptBuilderMemoryContext:
def test_prompt_includes_language(self, memory):
"""Verify language is included in prompt."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.stm.set_language("fr")
@@ -139,7 +140,7 @@ class TestPromptBuilderStructure:
def test_system_prompt_is_not_empty(self, memory):
"""Verify system prompt is never empty."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -148,7 +149,7 @@ class TestPromptBuilderStructure:
def test_system_prompt_includes_base_instruction(self, memory):
"""Verify system prompt includes base instruction."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -156,7 +157,7 @@ class TestPromptBuilderStructure:
def test_system_prompt_includes_rules(self, memory):
"""Verify system prompt includes important rules."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -164,7 +165,7 @@ class TestPromptBuilderStructure:
def test_system_prompt_includes_examples(self, memory):
"""Verify system prompt includes examples."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -172,7 +173,7 @@ class TestPromptBuilderStructure:
def test_tools_description_format(self, memory):
"""Verify tools are properly formatted in description."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
description = builder._format_tools_description()
@@ -185,7 +186,7 @@ class TestPromptBuilderStructure:
def test_episodic_context_format(self, memory_with_search_results):
"""Verify episodic context is properly formatted."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory_with_search_results)
@@ -195,7 +196,7 @@ class TestPromptBuilderStructure:
def test_stm_context_format(self, memory):
"""Verify STM context is properly formatted."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.stm.set_topic("test_topic")
@@ -208,7 +209,7 @@ class TestPromptBuilderStructure:
def test_config_context_format(self, memory):
"""Verify config context is properly formatted."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.ltm.set_config("test_key", "test_value")
@@ -224,7 +225,7 @@ class TestPromptBuilderEdgeCases:
def test_prompt_with_no_memory_context(self, memory):
"""Verify prompt works with empty memory."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
# Memory is empty
@@ -254,7 +255,7 @@ class TestPromptBuilderEdgeCases:
def test_prompt_with_unicode_in_memory(self, memory):
"""Verify prompt handles unicode in memory."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
memory.stm.set_entity("movie", "Amélie 🎬")
@@ -266,7 +267,7 @@ class TestPromptBuilderEdgeCases:
def test_prompt_with_long_search_results(self, memory):
"""Verify prompt handles many search results."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
# Add many results

View File

@@ -2,6 +2,7 @@
from alfred.agent.prompts import PromptBuilder
from alfred.agent.registry import make_tools
from alfred.settings import settings
class TestPromptBuilderEdgeCases:
@@ -9,7 +10,7 @@ class TestPromptBuilderEdgeCases:
def test_prompt_with_empty_memory(self, memory):
"""Should build prompt with completely empty memory."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -22,7 +23,7 @@ class TestPromptBuilderEdgeCases:
memory.ltm.set_config("folder_日本語", "/path/to/日本語")
memory.ltm.set_config("emoji_folder", "/path/🎬")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -35,7 +36,7 @@ class TestPromptBuilderEdgeCases:
long_path = "/very/long/path/" + "x" * 1000
memory.ltm.set_config("download_folder", long_path)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -47,7 +48,7 @@ class TestPromptBuilderEdgeCases:
"""Should escape special characters in config."""
memory.ltm.set_config("path", '/path/with "quotes" and \\backslash')
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -60,7 +61,7 @@ class TestPromptBuilderEdgeCases:
results = [{"name": f"Torrent {i}", "seeders": i} for i in range(50)]
memory.episodic.store_search_results("test query", results)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -79,7 +80,7 @@ class TestPromptBuilderEdgeCases:
]
memory.episodic.store_search_results("test", results)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -98,7 +99,7 @@ class TestPromptBuilderEdgeCases:
}
)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -112,7 +113,7 @@ class TestPromptBuilderEdgeCases:
for i in range(10):
memory.episodic.add_error(f"action_{i}", f"Error {i}")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -125,7 +126,7 @@ class TestPromptBuilderEdgeCases:
options = [{"index": i, "label": f"Option {i}"} for i in range(20)]
memory.episodic.set_pending_question("Choose one:", options, {})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -146,7 +147,7 @@ class TestPromptBuilderEdgeCases:
)
memory.stm.update_workflow_stage("searching_torrents")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -160,7 +161,7 @@ class TestPromptBuilderEdgeCases:
for i in range(50):
memory.stm.set_entity(f"entity_{i}", f"value_{i}")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -174,7 +175,7 @@ class TestPromptBuilderEdgeCases:
memory.stm.set_entity("zero", 0)
memory.stm.set_entity("false", False)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -187,7 +188,7 @@ class TestPromptBuilderEdgeCases:
memory.episodic.add_background_event("download_complete", {"name": "Movie.mkv"})
memory.episodic.add_background_event("new_files", {"count": 5})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -223,7 +224,7 @@ class TestPromptBuilderEdgeCases:
# Events
memory.episodic.add_background_event("event", {})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -244,7 +245,7 @@ class TestPromptBuilderEdgeCases:
memory.ltm.set_config("key", {"nested": [1, 2, 3]})
memory.stm.set_entity("complex", {"a": {"b": {"c": "d"}}})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
prompt = builder.build_system_prompt()
@@ -306,7 +307,7 @@ class TestFormatEpisodicContextEdgeCases:
"""Should handle empty search query."""
memory.episodic.store_search_results("", [{"name": "Result"}])
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory)
@@ -324,7 +325,7 @@ class TestFormatEpisodicContextEdgeCases:
],
)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory)
@@ -336,7 +337,7 @@ class TestFormatEpisodicContextEdgeCases:
"""Should handle download without progress."""
memory.episodic.add_active_download({"task_id": "1", "name": "Test"})
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_episodic_context(memory)
@@ -355,7 +356,7 @@ class TestFormatStmContextEdgeCases:
"stage": "started",
}
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_stm_context(memory)
@@ -366,7 +367,7 @@ class TestFormatStmContextEdgeCases:
"""Should handle workflow with None target."""
memory.stm.start_workflow("download", None)
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
try:
@@ -380,7 +381,7 @@ class TestFormatStmContextEdgeCases:
"""Should handle empty topic."""
memory.stm.set_topic("")
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_stm_context(memory)
@@ -392,7 +393,7 @@ class TestFormatStmContextEdgeCases:
"""Should handle entities containing JSON strings."""
memory.stm.set_entity("json_string", '{"key": "value"}')
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
context = builder._format_stm_context(memory)

View File

@@ -6,6 +6,7 @@ import pytest
from alfred.agent.prompts import PromptBuilder
from alfred.agent.registry import Tool, _create_tool_from_function, make_tools
from alfred.settings import settings
class TestToolSpecFormat:
@@ -13,7 +14,7 @@ class TestToolSpecFormat:
def test_tool_spec_format_is_openai_compatible(self):
"""CRITICAL: Verify tool specs are OpenAI-compatible."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
specs = builder.build_tools_spec()
@@ -62,7 +63,7 @@ class TestToolSpecFormat:
def test_all_registered_tools_are_callable(self):
"""CRITICAL: Verify all registered tools are actually callable."""
tools = make_tools()
tools = make_tools(settings)
assert len(tools) > 0, "No tools registered"
@@ -78,7 +79,7 @@ class TestToolSpecFormat:
def test_tools_spec_contains_all_registered_tools(self):
"""CRITICAL: Verify build_tools_spec() returns all registered tools."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
specs = builder.build_tools_spec()
@@ -119,7 +120,7 @@ class TestToolSpecFormat:
def test_tool_parameters_have_descriptions(self):
"""Verify all tool parameters have descriptions."""
tools = make_tools()
tools = make_tools(settings)
builder = PromptBuilder(tools)
specs = builder.build_tools_spec()
@@ -150,28 +151,28 @@ class TestToolRegistry:
def test_make_tools_returns_dict(self):
"""Verify make_tools returns a dictionary."""
tools = make_tools()
tools = make_tools(settings)
assert isinstance(tools, dict)
assert len(tools) > 0
def test_all_tools_have_unique_names(self):
"""Verify all tool names are unique."""
tools = make_tools()
tools = make_tools(settings)
names = [tool.name for tool in tools.values()]
assert len(names) == len(set(names)), "Duplicate tool names found"
def test_tool_names_match_dict_keys(self):
"""Verify tool names match their dictionary keys."""
tools = make_tools()
tools = make_tools(settings)
for key, tool in tools.items():
assert key == tool.name, f"Key {key} doesn't match tool name {tool.name}"
def test_expected_tools_are_registered(self):
"""Verify all expected tools are registered."""
tools = make_tools()
tools = make_tools(settings)
expected_tools = [
"set_path_for_folder",
@@ -189,7 +190,7 @@ class TestToolRegistry:
def test_tool_functions_are_valid(self):
"""Verify all tool functions are properly structured."""
tools = make_tools()
tools = make_tools(settings)
# Verify structure without calling functions
# (calling would require full setup with memory, clients, etc.)

View File

@@ -3,6 +3,7 @@
import pytest
from alfred.agent.registry import Tool, make_tools
from alfred.settings import settings
class TestToolEdgeCases:
@@ -140,13 +141,13 @@ class TestMakeToolsEdgeCases:
def test_make_tools_returns_dict(self, memory):
"""Should return dictionary of tools."""
tools = make_tools()
tools = make_tools(settings)
assert isinstance(tools, dict)
def test_make_tools_all_tools_have_required_fields(self, memory):
"""Should have all required fields for each tool."""
tools = make_tools()
tools = make_tools(settings)
for name, tool in tools.items():
assert tool.name == name
@@ -157,14 +158,14 @@ class TestMakeToolsEdgeCases:
def test_make_tools_unique_names(self, memory):
"""Should have unique tool names."""
tools = make_tools()
tools = make_tools(settings)
names = list(tools.keys())
assert len(names) == len(set(names))
def test_make_tools_valid_parameter_schemas(self, memory):
"""Should have valid JSON Schema for parameters."""
tools = make_tools()
tools = make_tools(settings)
for tool in tools.values():
params = tool.parameters
@@ -176,7 +177,7 @@ class TestMakeToolsEdgeCases:
def test_make_tools_required_params_in_properties(self, memory):
"""Should have required params defined in properties."""
tools = make_tools()
tools = make_tools(settings)
for tool in tools.values():
params = tool.parameters
@@ -188,21 +189,21 @@ class TestMakeToolsEdgeCases:
def test_make_tools_descriptions_not_empty(self, memory):
"""Should have non-empty descriptions."""
tools = make_tools()
tools = make_tools(settings)
for tool in tools.values():
assert tool.description.strip() != ""
def test_make_tools_funcs_callable(self, memory):
"""Should have callable functions."""
tools = make_tools()
tools = make_tools(settings)
for tool in tools.values():
assert callable(tool.func)
def test_make_tools_expected_tools_present(self, memory):
"""Should have expected tools."""
tools = make_tools()
tools = make_tools(settings)
expected = [
"set_path_for_folder",
@@ -220,14 +221,14 @@ class TestMakeToolsEdgeCases:
def test_make_tools_idempotent(self, memory):
"""Should return same tools on multiple calls."""
tools1 = make_tools()
tools2 = make_tools()
tools1 = make_tools(settings)
tools2 = make_tools(settings)
assert set(tools1.keys()) == set(tools2.keys())
def test_make_tools_parameter_types(self, memory):
"""Should have valid parameter types."""
tools = make_tools()
tools = make_tools(settings)
valid_types = ["string", "integer", "number", "boolean", "array", "object"]
@@ -241,7 +242,7 @@ class TestMakeToolsEdgeCases:
def test_make_tools_enum_values(self, memory):
"""Should have valid enum values."""
tools = make_tools()
tools = make_tools(settings)
for tool in tools.values():
if "properties" in tool.parameters:
@@ -256,7 +257,7 @@ class TestToolExecution:
def test_tool_returns_dict(self, memory, real_folder):
"""Should return dict from tool execution."""
tools = make_tools()
tools = make_tools(settings)
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
result = tools["list_folder"].func(folder_type="download")
@@ -265,7 +266,7 @@ class TestToolExecution:
def test_tool_returns_status(self, memory, real_folder):
"""Should return status in result."""
tools = make_tools()
tools = make_tools(settings)
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
result = tools["list_folder"].func(folder_type="download")
@@ -274,14 +275,14 @@ class TestToolExecution:
def test_tool_handles_missing_args(self, memory):
"""Should handle missing required arguments."""
tools = make_tools()
tools = make_tools(settings)
with pytest.raises(TypeError):
tools["set_path_for_folder"].func() # Missing required args
def test_tool_handles_wrong_type_args(self, memory):
"""Should handle wrong type arguments."""
tools = make_tools()
tools = make_tools(settings)
# Pass wrong type - should either work or raise
try:
@@ -293,7 +294,7 @@ class TestToolExecution:
def test_tool_handles_extra_args(self, memory, real_folder):
"""Should handle extra arguments."""
tools = make_tools()
tools = make_tools(settings)
memory.ltm.set_config("download_folder", str(real_folder["downloads"]))
# Extra args should raise TypeError

View File

@@ -0,0 +1,410 @@
"""Tests for settings bootstrap."""
import pytest
from alfred.settings_bootstrap import (
ConfigSource,
SettingsBootstrap,
extract_python_version,
generate_secret,
get_nested_value,
)
@pytest.fixture
def test_toml_content():
"""Test TOML content with schema."""
return """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.poetry.dependencies]
python = "==3.14.2"
[tool.alfred.settings]
runner = "poetry"
image_name = "test_image"
[tool.alfred.settings_schema.TEST_FROM_TOML]
type = "string"
source = "toml"
toml_path = "tool.poetry.version"
description = "Version from TOML"
category = "test"
[tool.alfred.settings_schema.TEST_FROM_ENV]
type = "string"
source = "env"
default = "default_value"
description = "Value from env"
category = "test"
[tool.alfred.settings_schema.TEST_SECRET]
type = "secret"
source = "generated"
secret_rule = "16:hex"
description = "Generated secret"
category = "security"
[tool.alfred.settings_schema.TEST_COMPUTED]
type = "computed"
source = "computed"
compute_from = ["TEST_FROM_TOML", "TEST_FROM_ENV"]
compute_template = "{TEST_FROM_TOML}-{TEST_FROM_ENV}"
description = "Computed value"
category = "test"
[tool.alfred.settings_schema.PYTHON_VERSION]
type = "string"
source = "toml"
toml_path = "tool.poetry.dependencies.python"
transform = "extract_python_version_full"
description = "Python version"
category = "build"
"""
@pytest.fixture
def config_source(tmp_path):
"""Create a ConfigSource for testing."""
return ConfigSource.from_base_dir(tmp_path)
@pytest.fixture
def create_test_env(tmp_path, test_toml_content):
"""Create a complete test environment."""
# Create pyproject.toml
toml_path = tmp_path / "pyproject.toml"
toml_path.write_text(test_toml_content)
# Create .env.example
env_example = tmp_path / ".env.example"
env_example.write_text("""
TEST_FROM_TOML=
TEST_FROM_ENV=
TEST_SECRET=
TEST_COMPUTED=
PYTHON_VERSION=
""")
return ConfigSource.from_base_dir(tmp_path)
class TestExtractPythonVersion:
"""Test Python version extraction."""
def test_exact_version(self):
"""Test exact version format."""
full, short = extract_python_version("==3.14.2")
assert full == "3.14.2"
assert short == "3.14"
def test_caret_version(self):
"""Test caret version format."""
full, short = extract_python_version("^3.14.2")
assert full == "3.14.2"
assert short == "3.14"
def test_invalid_version(self):
"""Test invalid version raises error."""
with pytest.raises(ValueError, match="Invalid Python version"):
extract_python_version("3")
class TestGenerateSecret:
"""Test secret generation."""
def test_generate_b64(self):
"""Test base64 secret generation."""
secret = generate_secret("32:b64")
assert isinstance(secret, str)
assert len(secret) > 0
def test_generate_hex(self):
"""Test hex secret generation."""
secret = generate_secret("16:hex")
assert isinstance(secret, str)
assert len(secret) == 32 # 16 bytes = 32 hex chars
assert all(c in "0123456789abcdef" for c in secret)
def test_invalid_format(self):
"""Test invalid format raises error."""
with pytest.raises(ValueError, match="Invalid security format"):
generate_secret("32:invalid")
def test_invalid_rule(self):
"""Test invalid rule format raises error."""
with pytest.raises(ValueError, match="Invalid security rule format"):
generate_secret("32")
class TestGetNestedValue:
"""Test nested value extraction."""
def test_simple_path(self):
"""Test simple path."""
data = {"key": "value"}
assert get_nested_value(data, "key") == "value"
def test_nested_path(self):
"""Test nested path."""
data = {"a": {"b": {"c": "value"}}}
assert get_nested_value(data, "a.b.c") == "value"
def test_missing_key(self):
"""Test missing key raises error."""
data = {"a": {"b": "value"}}
with pytest.raises(KeyError):
get_nested_value(data, "a.c")
def test_non_dict_value(self):
"""Test accessing non-dict raises error."""
data = {"a": "not a dict"}
with pytest.raises(KeyError, match="non-dict"):
get_nested_value(data, "a.b")
class TestSettingsBootstrap:
"""Test settings bootstrap."""
def test_load_sources(self, create_test_env):
"""Test loading TOML and env sources."""
bootstrapper = SettingsBootstrap(create_test_env)
bootstrapper._load_sources()
assert bootstrapper.toml_data is not None
assert "tool" in bootstrapper.toml_data
assert isinstance(bootstrapper.existing_env, dict)
def test_resolve_from_toml(self, create_test_env):
"""Test resolving setting from TOML."""
# Load schema from test env
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
# Get definition for TEST_FROM_TOML
definition = bootstrapper.schema.get("TEST_FROM_TOML")
value = bootstrapper._resolve_from_toml(definition)
assert value == "1.0.0" # From tool.poetry.version
def test_resolve_from_env_with_default(self, create_test_env):
"""Test resolving from env with default."""
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
definition = bootstrapper.schema.get("TEST_FROM_ENV")
value = bootstrapper._resolve_from_env(definition)
assert value == "default_value"
def test_resolve_from_env_existing(self, create_test_env):
"""Test resolving from existing env."""
# Create existing .env
create_test_env.env_path.write_text("TEST_FROM_ENV=existing_value\n")
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
definition = bootstrapper.schema.get("TEST_FROM_ENV")
value = bootstrapper._resolve_from_env(definition)
assert value == "existing_value"
def test_resolve_generated_new(self, create_test_env):
"""Test generating new secret."""
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
definition = bootstrapper.schema.get("TEST_SECRET")
value = bootstrapper._resolve_generated(definition)
assert isinstance(value, str)
assert len(value) == 32 # 16 hex = 32 chars
def test_resolve_generated_preserve_existing(self, create_test_env):
"""Test preserving existing secret."""
# Create existing .env with secret
create_test_env.env_path.write_text("TEST_SECRET=existing_secret\n")
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
definition = bootstrapper.schema.get("TEST_SECRET")
value = bootstrapper._resolve_generated(definition)
assert value == "existing_secret"
def test_resolve_computed(self, create_test_env):
"""Test resolving computed setting."""
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
# Resolve dependencies first
bootstrapper.resolved_settings["TEST_FROM_TOML"] = "1.0.0"
bootstrapper.resolved_settings["TEST_FROM_ENV"] = "test"
definition = bootstrapper.schema.get("TEST_COMPUTED")
value = bootstrapper._resolve_computed(definition)
assert value == "1.0.0-test"
def test_resolve_with_transform(self, create_test_env):
"""Test resolving with transform function."""
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper._load_sources()
definition = bootstrapper.schema.get("PYTHON_VERSION")
value = bootstrapper._resolve_from_toml(definition)
assert value == "3.14.2" # Transformed from "==3.14.2"
def test_full_bootstrap(self, create_test_env):
"""Test complete bootstrap process."""
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper.bootstrap()
# Check .env was created
assert create_test_env.env_path.exists()
# Check .env.make was created
env_make_path = create_test_env.base_dir / ".env.make"
assert env_make_path.exists()
# Check content
env_content = create_test_env.env_path.read_text()
assert "TEST_FROM_TOML=1.0.0" in env_content
assert "TEST_FROM_ENV=default_value" in env_content
assert "TEST_SECRET=" in env_content
assert "TEST_COMPUTED=1.0.0-default_value" in env_content
def test_bootstrap_preserves_secrets(self, create_test_env):
"""Test that bootstrap preserves existing secrets."""
# Create existing .env with secret
create_test_env.env_path.write_text("""
TEST_FROM_ENV=old_value
TEST_SECRET=my_secret_123
""")
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper.bootstrap()
# Check secret was preserved
env_content = create_test_env.env_path.read_text()
assert "TEST_SECRET=my_secret_123" in env_content
def test_validation_error(self, tmp_path, test_toml_content):
"""Test validation error is raised."""
# Add a setting with validation
toml_with_validation = (
test_toml_content
+ """
[tool.alfred.settings_schema.TEST_VALIDATED]
type = "integer"
source = "env"
default = 150
validator = "range:1:100"
description = "Validated setting"
category = "test"
"""
)
toml_path = tmp_path / "pyproject.toml"
toml_path.write_text(toml_with_validation)
env_example = tmp_path / ".env.example"
env_example.write_text("TEST_VALIDATED=\n")
source = ConfigSource.from_base_dir(tmp_path)
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
bootstrapper = SettingsBootstrap(source, schema)
with pytest.raises(ValueError, match="Validation errors"):
bootstrapper.bootstrap()
def test_write_env_make_only_exports(self, create_test_env):
"""Test that .env.make only contains export_to_env_make settings."""
# Add a setting with export_to_env_make
toml_content = create_test_env.toml_path.read_text()
toml_content += """
[tool.alfred.settings_schema.EXPORTED_VAR]
type = "string"
source = "env"
default = "exported"
export_to_env_make = true
category = "build"
"""
create_test_env.toml_path.write_text(toml_content)
# Recreate schema
from alfred.settings_schema import load_schema
schema = load_schema(create_test_env.base_dir)
bootstrapper = SettingsBootstrap(create_test_env, schema)
bootstrapper.bootstrap()
env_make_content = (create_test_env.base_dir / ".env.make").read_text()
assert "EXPORTED_VAR=exported" in env_make_content
# Non-exported vars should not be in .env.make
assert "TEST_FROM_ENV" not in env_make_content
class TestConfigSource:
"""Test ConfigSource dataclass."""
def test_from_base_dir(self, tmp_path):
"""Test creating ConfigSource from base dir."""
source = ConfigSource.from_base_dir(tmp_path)
assert source.base_dir == tmp_path
assert source.toml_path == tmp_path / "pyproject.toml"
assert source.env_path == tmp_path / ".env"
assert source.env_example_path == tmp_path / ".env.example"
def test_from_base_dir_default(self):
"""Test creating ConfigSource with default base dir."""
source = ConfigSource.from_base_dir()
assert source.base_dir.exists()
assert source.toml_path.name == "pyproject.toml"

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"""Advanced tests for settings bootstrap - template preservation and edge cases."""
import pytest
from alfred.settings_bootstrap import ConfigSource, SettingsBootstrap
@pytest.fixture
def test_toml_with_all_types(tmp_path):
"""Create test TOML with all setting types."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.poetry.dependencies]
python = "^3.14"
[tool.alfred.settings_schema.STRING_VAR]
type = "string"
source = "env"
default = "default_string"
description = "String variable"
category = "test"
[tool.alfred.settings_schema.INT_VAR]
type = "integer"
source = "env"
default = 42
description = "Integer variable"
category = "test"
[tool.alfred.settings_schema.FLOAT_VAR]
type = "float"
source = "env"
default = 3.14
description = "Float variable"
category = "test"
[tool.alfred.settings_schema.BOOL_VAR]
type = "boolean"
source = "env"
default = true
description = "Boolean variable"
category = "test"
[tool.alfred.settings_schema.SECRET_VAR]
type = "secret"
source = "generated"
secret_rule = "16:hex"
description = "Secret variable"
category = "security"
[tool.alfred.settings_schema.COMPUTED_VAR]
type = "computed"
source = "computed"
compute_from = ["STRING_VAR", "INT_VAR"]
compute_template = "{STRING_VAR}_{INT_VAR}"
description = "Computed variable"
category = "test"
"""
toml_path = tmp_path / "pyproject.toml"
toml_path.write_text(toml_content)
return tmp_path
@pytest.fixture
def test_env_example(tmp_path):
"""Create .env.example template."""
env_example_content = """# Test configuration
STRING_VAR=
INT_VAR=
FLOAT_VAR=
# Boolean settings
BOOL_VAR=
# Security
SECRET_VAR=
# Computed values
COMPUTED_VAR=
# Custom section
CUSTOM_VAR=custom_value
"""
env_example_path = tmp_path / ".env.example"
env_example_path.write_text(env_example_content)
return env_example_path
class TestTemplatePreservation:
"""Test that .env.example template structure is preserved."""
def test_preserves_comments(self, test_toml_with_all_types, test_env_example):
"""Test that comments from .env.example are preserved."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# Check comments are preserved
assert "# Test configuration" in env_content
assert "# Boolean settings" in env_content
assert "# Security" in env_content
assert "# Computed values" in env_content
def test_preserves_empty_lines(self, test_toml_with_all_types, test_env_example):
"""Test that empty lines from .env.example are preserved."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
lines = env_content.split("\n")
# Check there are empty lines (structure preserved)
assert "" in lines
def test_preserves_variable_order(self, test_toml_with_all_types, test_env_example):
"""Test that variable order from .env.example is preserved."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# Check order is preserved
string_pos = env_content.find("STRING_VAR=")
int_pos = env_content.find("INT_VAR=")
float_pos = env_content.find("FLOAT_VAR=")
bool_pos = env_content.find("BOOL_VAR=")
assert string_pos < int_pos < float_pos < bool_pos
class TestSecretPreservation:
"""Test that secrets are never overwritten."""
def test_preserves_existing_secrets(
self, test_toml_with_all_types, test_env_example
):
"""Test that existing secrets are preserved across multiple bootstraps."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
# First bootstrap - generates secret
bootstrapper1 = SettingsBootstrap(source, schema)
bootstrapper1.bootstrap()
env_content_1 = source.env_path.read_text()
secret_1 = [
line.split("=")[1]
for line in env_content_1.split("\n")
if line.startswith("SECRET_VAR=")
][0]
# Second bootstrap - should preserve secret
bootstrapper2 = SettingsBootstrap(source, schema)
bootstrapper2.bootstrap()
env_content_2 = source.env_path.read_text()
secret_2 = [
line.split("=")[1]
for line in env_content_2.split("\n")
if line.startswith("SECRET_VAR=")
][0]
assert secret_1 == secret_2
assert len(secret_1) == 32 # 16 hex bytes
def test_multiple_secrets_preserved(self, tmp_path):
"""Test that multiple secrets are all preserved."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.SECRET_1]
type = "secret"
source = "generated"
secret_rule = "16:hex"
category = "security"
[tool.alfred.settings_schema.SECRET_2]
type = "secret"
source = "generated"
secret_rule = "32:b64"
category = "security"
[tool.alfred.settings_schema.SECRET_3]
type = "secret"
source = "generated"
secret_rule = "8:hex"
category = "security"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text("SECRET_1=\nSECRET_2=\nSECRET_3=\n")
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
# First bootstrap
bootstrapper1 = SettingsBootstrap(source, schema)
bootstrapper1.bootstrap()
env_content_1 = source.env_path.read_text()
# Second bootstrap
bootstrapper2 = SettingsBootstrap(source, schema)
bootstrapper2.bootstrap()
env_content_2 = source.env_path.read_text()
# All secrets should be identical
assert env_content_1 == env_content_2
class TestCustomVariables:
"""Test that custom variables (not in schema) are preserved."""
def test_preserves_custom_variables_from_env(
self, test_toml_with_all_types, test_env_example
):
"""Test that custom variables added to .env are preserved."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
# First bootstrap
bootstrapper1 = SettingsBootstrap(source, schema)
bootstrapper1.bootstrap()
# Add custom variables to .env
with open(source.env_path, "a") as f:
f.write("\nMY_CUSTOM_VAR=custom_value\n")
f.write("ANOTHER_CUSTOM=another_value\n")
# Second bootstrap
bootstrapper2 = SettingsBootstrap(source, schema)
bootstrapper2.bootstrap()
env_content = source.env_path.read_text()
# Custom variables should be preserved
assert "MY_CUSTOM_VAR=custom_value" in env_content
assert "ANOTHER_CUSTOM=another_value" in env_content
def test_custom_variables_in_dedicated_section(
self, test_toml_with_all_types, test_env_example
):
"""Test that custom variables are placed in a dedicated section."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
# Create .env with custom variable
source.env_path.write_text("MY_CUSTOM_VAR=test\n")
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# Check custom section exists
assert "# --- CUSTOM VARIABLES ---" in env_content
assert "MY_CUSTOM_VAR=test" in env_content
def test_preserves_custom_from_env_example(
self, test_toml_with_all_types, test_env_example
):
"""Test that custom variables in .env.example are preserved."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# CUSTOM_VAR is in .env.example but not in schema
assert "CUSTOM_VAR=custom_value" in env_content
class TestBooleanHandling:
"""Test that booleans are handled correctly."""
def test_booleans_written_as_lowercase(
self, test_toml_with_all_types, test_env_example
):
"""Test that Python booleans are written as lowercase strings."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# Boolean should be lowercase
assert "BOOL_VAR=true" in env_content
assert "BOOL_VAR=True" not in env_content
assert "BOOL_VAR=TRUE" not in env_content
def test_false_boolean_written_as_lowercase(self, tmp_path):
"""Test that False is written as 'false'."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.BOOL_FALSE]
type = "boolean"
source = "env"
default = false
category = "test"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text("BOOL_FALSE=\n")
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
assert "BOOL_FALSE=false" in env_content
assert "BOOL_FALSE=False" not in env_content
def test_boolean_parsing_from_env(self, tmp_path):
"""Test that various boolean formats are parsed correctly."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.BOOL_VAR]
type = "boolean"
source = "env"
default = false
category = "test"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text("BOOL_VAR=\n")
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
# Test different boolean formats
test_cases = [
("true", True),
("TRUE", True),
("True", True),
("1", True),
("yes", True),
("false", False),
("FALSE", False),
("False", False),
("0", False),
("no", False),
]
for input_val, expected in test_cases:
source.env_path.write_text(f"BOOL_VAR={input_val}\n")
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper._load_sources()
bootstrapper._resolve_settings()
assert bootstrapper.resolved_settings["BOOL_VAR"] == expected
class TestComputedVariables:
"""Test that computed variables are calculated correctly."""
def test_computed_variables_written_to_env(
self, test_toml_with_all_types, test_env_example
):
"""Test that computed variables are written with their computed values."""
from alfred.settings_schema import load_schema
schema = load_schema(test_toml_with_all_types)
source = ConfigSource.from_base_dir(test_toml_with_all_types)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# Computed variable should have its computed value
assert "COMPUTED_VAR=default_string_42" in env_content
def test_computed_uri_example(self, tmp_path):
"""Test computed URI (like MONGO_URI) is written correctly."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.DB_HOST]
type = "string"
source = "env"
default = "localhost"
category = "database"
[tool.alfred.settings_schema.DB_PORT]
type = "integer"
source = "env"
default = 5432
category = "database"
[tool.alfred.settings_schema.DB_USER]
type = "string"
source = "env"
default = "user"
category = "database"
[tool.alfred.settings_schema.DB_PASSWORD]
type = "secret"
source = "generated"
secret_rule = "16:hex"
category = "security"
[tool.alfred.settings_schema.DB_URI]
type = "computed"
source = "computed"
compute_from = ["DB_USER", "DB_PASSWORD", "DB_HOST", "DB_PORT"]
compute_template = "postgresql://{DB_USER}:{DB_PASSWORD}@{DB_HOST}:{DB_PORT}/db"
category = "database"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text(
"DB_HOST=\nDB_PORT=\nDB_USER=\nDB_PASSWORD=\nDB_URI=\n"
)
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
# Check URI is computed and written
assert "DB_URI=postgresql://user:" in env_content
assert "@localhost:5432/db" in env_content
# Extract password from URI to verify it's the same as DB_PASSWORD
import re
uri_match = re.search(r"DB_URI=postgresql://user:([^@]+)@", env_content)
password_match = re.search(r"DB_PASSWORD=([^\n]+)", env_content)
assert uri_match and password_match
assert uri_match.group(1) == password_match.group(1)
class TestEdgeCases:
"""Test edge cases and error conditions."""
def test_missing_env_example(self, tmp_path):
"""Test that missing .env.example raises error."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.TEST_VAR]
type = "string"
source = "env"
default = "test"
category = "test"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
bootstrapper = SettingsBootstrap(source, schema)
with pytest.raises(FileNotFoundError, match=".env.example not found"):
bootstrapper.bootstrap()
def test_empty_env_example(self, tmp_path):
"""Test that empty .env.example works."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.TEST_VAR]
type = "string"
source = "env"
default = "test"
category = "test"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text("")
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
# Should create .env even if .env.example is empty
assert source.env_path.exists()
def test_variable_with_equals_in_value(self, tmp_path):
"""Test that variables with '=' in their value are handled correctly."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.URL_VAR]
type = "string"
source = "env"
default = "http://example.com?key=value"
category = "test"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text("URL_VAR=\n")
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
bootstrapper = SettingsBootstrap(source, schema)
bootstrapper.bootstrap()
env_content = source.env_path.read_text()
assert "URL_VAR=http://example.com?key=value" in env_content
def test_preserves_existing_values_on_update(self, tmp_path):
"""Test that existing values are preserved when updating."""
toml_content = """
[tool.poetry]
name = "test"
version = "1.0.0"
[tool.alfred.settings_schema.VAR1]
type = "string"
source = "env"
default = "default1"
category = "test"
[tool.alfred.settings_schema.VAR2]
type = "string"
source = "env"
default = "default2"
category = "test"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
(tmp_path / ".env.example").write_text("VAR1=\nVAR2=\n")
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
# First bootstrap
bootstrapper1 = SettingsBootstrap(source, schema)
bootstrapper1.bootstrap()
# Modify values
source.env_path.write_text("VAR1=custom1\nVAR2=custom2\n")
# Second bootstrap
bootstrapper2 = SettingsBootstrap(source, schema)
bootstrapper2.bootstrap()
env_content = source.env_path.read_text()
# Custom values should be preserved
assert "VAR1=custom1" in env_content
assert "VAR2=custom2" in env_content
class TestIntegration:
"""Integration tests with realistic scenarios."""
def test_full_workflow_like_alfred(self, tmp_path):
"""Test a full workflow similar to Alfred's actual usage."""
toml_content = """
[tool.poetry]
name = "alfred"
version = "0.1.7"
[tool.poetry.dependencies]
python = "^3.14"
[tool.alfred.settings_schema.ALFRED_VERSION]
type = "string"
source = "toml"
toml_path = "tool.poetry.version"
category = "build"
export_to_env_make = true
[tool.alfred.settings_schema.HOST]
type = "string"
source = "env"
default = "0.0.0.0"
category = "app"
[tool.alfred.settings_schema.PORT]
type = "integer"
source = "env"
default = 3080
category = "app"
[tool.alfred.settings_schema.JWT_SECRET]
type = "secret"
source = "generated"
secret_rule = "32:hex"
category = "security"
[tool.alfred.settings_schema.MONGO_HOST]
type = "string"
source = "env"
default = "mongodb"
category = "database"
[tool.alfred.settings_schema.MONGO_PASSWORD]
type = "secret"
source = "generated"
secret_rule = "16:hex"
category = "security"
[tool.alfred.settings_schema.MONGO_URI]
type = "computed"
source = "computed"
compute_from = ["MONGO_HOST", "MONGO_PASSWORD"]
compute_template = "mongodb://user:{MONGO_PASSWORD}@{MONGO_HOST}:27017/db"
category = "database"
[tool.alfred.settings_schema.DEBUG_MODE]
type = "boolean"
source = "env"
default = false
category = "app"
"""
(tmp_path / "pyproject.toml").write_text(toml_content)
env_example_content = """# Application settings
HOST=0.0.0.0
PORT=3080
DEBUG_MODE=false
# Security
JWT_SECRET=
# Database
MONGO_HOST=mongodb
MONGO_PASSWORD=
MONGO_URI=
# Build info
ALFRED_VERSION=
"""
(tmp_path / ".env.example").write_text(env_example_content)
from alfred.settings_schema import load_schema
schema = load_schema(tmp_path)
source = ConfigSource.from_base_dir(tmp_path)
# First bootstrap
bootstrapper1 = SettingsBootstrap(source, schema)
bootstrapper1.bootstrap()
env_content_1 = source.env_path.read_text()
# Verify structure
assert "# Application settings" in env_content_1
assert "HOST=0.0.0.0" in env_content_1
assert "PORT=3080" in env_content_1
assert "DEBUG_MODE=false" in env_content_1 # lowercase!
assert "ALFRED_VERSION=0.1.7" in env_content_1
assert "JWT_SECRET=" in env_content_1
assert len([l for l in env_content_1.split("\n") if "JWT_SECRET=" in l][0]) > 20
assert "MONGO_URI=mongodb://user:" in env_content_1
# Second bootstrap - should preserve everything
bootstrapper2 = SettingsBootstrap(source, schema)
bootstrapper2.bootstrap()
env_content_2 = source.env_path.read_text()
# Everything should be identical
assert env_content_1 == env_content_2
# Add custom variable
with open(source.env_path, "a") as f:
f.write("\nMY_CUSTOM_SETTING=test123\n")
# Third bootstrap - should preserve custom
bootstrapper3 = SettingsBootstrap(source, schema)
bootstrapper3.bootstrap()
env_content_3 = source.env_path.read_text()
assert "MY_CUSTOM_SETTING=test123" in env_content_3
assert "# --- CUSTOM VARIABLES ---" in env_content_3

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"""Tests for settings schema parser."""
import pytest
from alfred.settings_schema import (
SettingDefinition,
SettingSource,
SettingType,
load_schema,
validate_value,
)
@pytest.fixture
def minimal_schema_toml():
"""Minimal valid schema TOML."""
return """
[tool.alfred.settings_schema.TEST_STRING]
type = "string"
source = "env"
default = "test_value"
description = "Test string setting"
category = "test"
[tool.alfred.settings_schema.TEST_INTEGER]
type = "integer"
source = "env"
default = 42
description = "Test integer setting"
category = "test"
validator = "range:1:100"
[tool.alfred.settings_schema.TEST_SECRET]
type = "secret"
source = "generated"
secret_rule = "32:b64"
description = "Test secret"
category = "security"
required = true
[tool.alfred.settings_schema.TEST_COMPUTED]
type = "computed"
source = "computed"
compute_from = ["TEST_STRING", "TEST_INTEGER"]
compute_template = "{TEST_STRING}_{TEST_INTEGER}"
description = "Test computed"
category = "test"
[tool.alfred.settings_schema.TEST_OPTIONAL]
type = "string"
source = "env"
required = false
description = "Optional setting"
category = "test"
"""
@pytest.fixture
def create_schema_file(tmp_path):
"""Factory to create pyproject.toml with schema."""
def _create(content: str):
toml_path = tmp_path / "pyproject.toml"
full_content = f"""
[tool.poetry]
name = "test"
version = "1.0.0"
{content}
"""
toml_path.write_text(full_content)
return tmp_path
return _create
class TestSettingDefinition:
"""Test SettingDefinition dataclass."""
def test_create_definition(self):
"""Test creating a setting definition."""
definition = SettingDefinition(
name="TEST_SETTING",
type=SettingType.STRING,
source=SettingSource.ENV,
description="Test setting",
category="test",
default="default_value",
)
assert definition.name == "TEST_SETTING"
assert definition.type == SettingType.STRING
assert definition.source == SettingSource.ENV
assert definition.default == "default_value"
assert definition.required is True # Default
class TestSettingsSchema:
"""Test SettingsSchema parser."""
def test_parse_schema(self, create_schema_file, minimal_schema_toml):
"""Test parsing schema from TOML."""
base_dir = create_schema_file(minimal_schema_toml)
schema = load_schema(base_dir)
assert len(schema) == 5
assert "TEST_STRING" in schema.definitions
assert "TEST_INTEGER" in schema.definitions
assert "TEST_SECRET" in schema.definitions
assert "TEST_COMPUTED" in schema.definitions
assert "TEST_OPTIONAL" in schema.definitions
def test_get_definition(self, create_schema_file, minimal_schema_toml):
"""Test getting a definition by name."""
base_dir = create_schema_file(minimal_schema_toml)
schema = load_schema(base_dir)
definition = schema.get("TEST_STRING")
assert definition is not None
assert definition.name == "TEST_STRING"
assert definition.type == SettingType.STRING
assert definition.default == "test_value"
def test_get_by_category(self, create_schema_file, minimal_schema_toml):
"""Test getting definitions by category."""
base_dir = create_schema_file(minimal_schema_toml)
schema = load_schema(base_dir)
test_settings = schema.get_by_category("test")
assert len(test_settings) == 4
security_settings = schema.get_by_category("security")
assert len(security_settings) == 1
def test_get_by_source(self, create_schema_file, minimal_schema_toml):
"""Test getting definitions by source."""
base_dir = create_schema_file(minimal_schema_toml)
schema = load_schema(base_dir)
env_settings = schema.get_by_source(SettingSource.ENV)
assert len(env_settings) == 3
generated_settings = schema.get_by_source(SettingSource.GENERATED)
assert len(generated_settings) == 1
computed_settings = schema.get_by_source(SettingSource.COMPUTED)
assert len(computed_settings) == 1
def test_get_required(self, create_schema_file, minimal_schema_toml):
"""Test getting required settings."""
base_dir = create_schema_file(minimal_schema_toml)
schema = load_schema(base_dir)
required = schema.get_required()
# TEST_OPTIONAL is not required
assert len(required) == 4
def test_parse_types(self, create_schema_file):
"""Test parsing different setting types."""
schema_toml = """
[tool.alfred.settings_schema.STR_SETTING]
type = "string"
source = "env"
default = "text"
[tool.alfred.settings_schema.INT_SETTING]
type = "integer"
source = "env"
default = 42
[tool.alfred.settings_schema.FLOAT_SETTING]
type = "float"
source = "env"
default = 3.14
[tool.alfred.settings_schema.BOOL_SETTING]
type = "boolean"
source = "env"
default = true
"""
base_dir = create_schema_file(schema_toml)
schema = load_schema(base_dir)
assert schema.get("STR_SETTING").default == "text"
assert schema.get("INT_SETTING").default == 42
assert schema.get("FLOAT_SETTING").default == 3.14
assert schema.get("BOOL_SETTING").default is True
def test_missing_schema_section(self, tmp_path):
"""Test error when schema section is missing."""
toml_path = tmp_path / "pyproject.toml"
toml_path.write_text("""
[tool.poetry]
name = "test"
version = "1.0.0"
""")
with pytest.raises(KeyError, match="settings_schema"):
load_schema(tmp_path)
class TestValidateValue:
"""Test value validation."""
def test_validate_string(self):
"""Test validating string values."""
definition = SettingDefinition(
name="TEST",
type=SettingType.STRING,
source=SettingSource.ENV,
)
assert validate_value(definition, "test") is True
with pytest.raises(ValueError, match="must be string"):
validate_value(definition, 123)
def test_validate_integer(self):
"""Test validating integer values."""
definition = SettingDefinition(
name="TEST",
type=SettingType.INTEGER,
source=SettingSource.ENV,
)
assert validate_value(definition, 42) is True
with pytest.raises(ValueError, match="must be integer"):
validate_value(definition, "not an int")
def test_validate_float(self):
"""Test validating float values."""
definition = SettingDefinition(
name="TEST",
type=SettingType.FLOAT,
source=SettingSource.ENV,
)
assert validate_value(definition, 3.14) is True
assert validate_value(definition, 42) is True # int is ok for float
with pytest.raises(ValueError, match="must be float"):
validate_value(definition, "not a float")
def test_validate_required(self):
"""Test validating required settings."""
definition = SettingDefinition(
name="TEST",
type=SettingType.STRING,
source=SettingSource.ENV,
required=True,
)
with pytest.raises(ValueError, match="is required"):
validate_value(definition, None)
def test_validate_optional(self):
"""Test validating optional settings."""
definition = SettingDefinition(
name="TEST",
type=SettingType.STRING,
source=SettingSource.ENV,
required=False,
)
assert validate_value(definition, None) is True
def test_validate_range(self):
"""Test range validator."""
definition = SettingDefinition(
name="TEST",
type=SettingType.INTEGER,
source=SettingSource.ENV,
validator="range:1:100",
)
assert validate_value(definition, 50) is True
assert validate_value(definition, 1) is True
assert validate_value(definition, 100) is True
with pytest.raises(ValueError, match=r"must be between .* and .*, got"):
validate_value(definition, 0)
with pytest.raises(ValueError, match=r"must be between .* and .*, got"):
validate_value(definition, 101)
def test_validate_float_range(self):
"""Test range validator with floats."""
definition = SettingDefinition(
name="TEST",
type=SettingType.FLOAT,
source=SettingSource.ENV,
validator="range:0.0:2.0",
)
assert validate_value(definition, 1.5) is True
assert validate_value(definition, 0.0) is True
assert validate_value(definition, 2.0) is True
with pytest.raises(ValueError, match="must be between 0.0 and 2.0"):
validate_value(definition, -0.1)
with pytest.raises(ValueError, match="must be between 0.0 and 2.0"):
validate_value(definition, 2.1)
def test_invalid_validator(self):
"""Test unknown validator raises error."""
definition = SettingDefinition(
name="TEST",
type=SettingType.STRING,
source=SettingSource.ENV,
validator="unknown:validator",
)
with pytest.raises(ValueError, match="Unknown validator"):
validate_value(definition, "test")
class TestSchemaIteration:
"""Test schema iteration."""
def test_iterate_schema(self, create_schema_file, minimal_schema_toml):
"""Test iterating over schema definitions."""
base_dir = create_schema_file(minimal_schema_toml)
schema = load_schema(base_dir)
definitions = list(schema)
assert len(definitions) == 5
names = [d.name for d in definitions]
assert "TEST_STRING" in names
assert "TEST_INTEGER" in names