Merge pull request #133 from ggozad/fix/config

All CLI commands now properly support `--config` parameter for specifying custom configuration files. Remove support for environment variables.
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Yiorgis Gozadinos 2025-11-07 11:58:59 +02:00 committed by GitHub
commit 40ecaa0e0b
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13 changed files with 230 additions and 312 deletions

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@ -1,6 +1,18 @@
# Changelog
## [Unreleased]
### Changed
- **Configuration**: All CLI commands now properly support `--config` parameter for specifying custom configuration files
- Configuration loading consolidated across CLI, app, and client with consistent resolution order
- `HaikuRAGApp`, MCP server, and A2A server now accept `config` parameter for programmatic configuration
- Updated CLI documentation to clarify global vs per-command options
- **BREAKING**: Standardized configuration filename to `haiku.rag.yaml` in user directories (was incorrectly using `config.yaml`). Users with existing `config.yaml` in their user directory will need to rename it to `haiku.rag.yaml`
### Removed
- **BREAKING**: Removed deprecated `.env`-based configuration system. The `haiku-rag init-config --from-env` command and `load_config_from_env()` function have been removed. All configuration must now be done via YAML files. Environment variables for API keys (e.g., `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`) and service URLs (e.g., `OLLAMA_BASE_URL`) are still supported and can be set via `.env` files.
## [0.14.1] - 2025-11-06
### Added

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@ -4,8 +4,6 @@ Retrieval-Augmented Generation (RAG) library built on LanceDB.
`haiku.rag` is a Retrieval-Augmented Generation (RAG) library built to work with LanceDB as a local vector database. It uses LanceDB for storing embeddings and performs semantic (vector) search as well as full-text search combined through native hybrid search with Reciprocal Rank Fusion. Both open-source (Ollama) as well as commercial (OpenAI, VoyageAI) embedding providers are supported.
> **Note**: Configuration now uses YAML files instead of environment variables. If you're upgrading from an older version, run `haiku-rag init-config --from-env` to migrate your `.env` file to `haiku.rag.yaml`. See [Configuration](https://ggozad.github.io/haiku.rag/configuration/) for details.
## Features
- **Local LanceDB**: No external servers required, supports also LanceDB cloud storage, S3, Google Cloud & Azure

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@ -3,14 +3,20 @@
The `haiku-rag` CLI provides complete document management functionality.
!!! note
All commands support:
Global options (must be specified before the command):
- `--config` - Specify custom configuration file
- `--version` / `-v` - Show version and exit
Per-command options:
- `--db` - Specify custom database path
- `-h` - Show help for specific command
Example:
```bash
haiku-rag list --db /path/to/custom.db
haiku-rag --config /path/to/config.yaml list
haiku-rag --config /path/to/config.yaml list --db /path/to/custom.db
haiku-rag add -h
```

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@ -15,15 +15,6 @@ haiku-rag init-config
This creates a `haiku.rag.yaml` file in your current directory with all available settings.
!!! warning "Deprecation Notice"
Environment variable configuration via `.env` files is deprecated and will be removed in future versions. Please migrate to YAML configuration.
To migrate from environment variables (`.env` file):
```bash
haiku-rag init-config --from-env
```
## Configuration File Locations
`haiku.rag` searches for configuration files in this order:
@ -31,9 +22,9 @@ This creates a `haiku.rag.yaml` file in your current directory with all availabl
1. Path specified via `--config` flag: `haiku-rag --config /path/to/config.yaml <command>`
2. `./haiku.rag.yaml` (current directory)
3. Platform-specific user directory:
- **Linux**: `~/.local/share/haiku.rag/config.yaml`
- **macOS**: `~/Library/Application Support/haiku.rag/config.yaml`
- **Windows**: `C:/Users/<USER>/AppData/Roaming/haiku.rag/config.yaml`
- **Linux**: `~/.local/share/haiku.rag/haiku.rag.yaml`
- **macOS**: `~/Library/Application Support/haiku.rag/haiku.rag.yaml`
- **Windows**: `C:/Users/<USER>/AppData/Roaming/haiku.rag/haiku.rag.yaml`
## Minimal Configuration
@ -219,14 +210,7 @@ embeddings:
vector_dim: 1024
```
The Ollama base URL can be configured via environment variable or config file:
```bash
# Via environment variable (recommended)
export OLLAMA_BASE_URL=http://localhost:11434
```
Or in your config file:
The Ollama base URL can be configured in your config file or via environment variable:
```yaml
providers:
@ -234,7 +218,16 @@ providers:
base_url: http://localhost:11434
```
If neither is set, it defaults to `http://localhost:11434`.
Or via environment variable:
```bash
export OLLAMA_BASE_URL=http://localhost:11434
```
If not configured, it defaults to `http://localhost:11434`.
!!! note
You can use a `.env` file in your project directory to set environment variables like `OLLAMA_BASE_URL` and API keys (e.g., `OPENAI_API_KEY`, `ANTHROPIC_API_KEY`). These will be automatically loaded when running `haiku-rag` commands.
### VoyageAI

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@ -5,7 +5,7 @@ from pathlib import Path
import logfire
from pydantic_ai import Agent, RunContext
from haiku.rag.config import Config
from haiku.rag.config import AppConfig, Config
from haiku.rag.graph_common import get_model
from .context import load_message_history, save_message_history
@ -42,6 +42,7 @@ __all__ = [
def create_a2a_app(
db_path: Path,
config: AppConfig = Config,
security_schemes: dict | None = None,
security: list[dict[str, list[str]]] | None = None,
):
@ -49,6 +50,7 @@ def create_a2a_app(
Args:
db_path: Path to the LanceDB database
config: App configuration
security_schemes: Optional security scheme definitions for the AgentCard
security: Optional security requirements for the AgentCard
@ -57,12 +59,12 @@ def create_a2a_app(
"""
base_storage = InMemoryStorage()
storage = LRUMemoryStorage(
storage=base_storage, max_contexts=Config.a2a.max_contexts
storage=base_storage, max_contexts=config.a2a.max_contexts
)
broker = InMemoryBroker()
# Create the agent with native search tool
model = get_model(Config.qa.provider, Config.qa.model)
model = get_model(config.qa.provider, config.qa.model)
agent = Agent(
model=model,
deps_type=AgentDependencies,
@ -115,12 +117,13 @@ def create_a2a_app(
broker=broker,
db_path=db_path,
agent=agent, # type: ignore
config=config,
)
# Create FastA2A app with custom worker lifecycle
@asynccontextmanager
async def lifespan(app):
logger.info(f"Started A2A server (max contexts: {Config.a2a.max_contexts})")
logger.info(f"Started A2A server (max contexts: {config.a2a.max_contexts})")
async with app.task_manager:
async with worker.run():
yield

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@ -9,6 +9,7 @@ from haiku.rag.a2a.context import load_message_history, save_message_history
from haiku.rag.a2a.models import AgentDependencies
from haiku.rag.a2a.skills import extract_question_from_task
from haiku.rag.client import HaikuRAG
from haiku.rag.config import AppConfig, Config
try:
from fasta2a import Worker # type: ignore
@ -37,10 +38,12 @@ class ConversationalWorker(Worker[list[Message]]):
broker,
db_path: Path,
agent: "Agent[AgentDependencies, str]",
config: AppConfig = Config,
):
super().__init__(storage=storage, broker=broker)
self.db_path = db_path
self.agent = agent
self.config = config
async def run_task(self, params: TaskSendParams) -> None:
task = await self.storage.load_task(params["id"])
@ -62,7 +65,7 @@ class ConversationalWorker(Worker[list[Message]]):
return
try:
async with HaikuRAG(self.db_path) as client:
async with HaikuRAG(self.db_path, config=self.config) as client:
context = await self.storage.load_context(task["context_id"]) or []
message_history = load_message_history(context)

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@ -9,7 +9,7 @@ from rich.markdown import Markdown
from rich.progress import Progress
from haiku.rag.client import HaikuRAG
from haiku.rag.config import Config
from haiku.rag.config import AppConfig, Config
from haiku.rag.mcp import create_mcp_server
from haiku.rag.monitor import FileWatcher
from haiku.rag.research.dependencies import ResearchContext
@ -23,8 +23,9 @@ logger = logging.getLogger(__name__)
class HaikuRAGApp:
def __init__(self, db_path: Path):
def __init__(self, db_path: Path, config: AppConfig = Config):
self.db_path = db_path
self.config = config
self.console = Console()
async def info(self):
@ -136,13 +137,13 @@ class HaikuRAGApp:
)
async def list_documents(self, filter: str | None = None):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
documents = await self.client.list_documents(filter=filter)
for doc in documents:
self._rich_print_document(doc, truncate=True)
async def add_document_from_text(self, text: str, metadata: dict | None = None):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
doc = await self.client.create_document(text, metadata=metadata)
self._rich_print_document(doc, truncate=True)
self.console.print(
@ -152,7 +153,7 @@ class HaikuRAGApp:
async def add_document_from_source(
self, source: str, title: str | None = None, metadata: dict | None = None
):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
result = await self.client.create_document_from_source(
source, title=title, metadata=metadata
)
@ -169,7 +170,7 @@ class HaikuRAGApp:
)
async def get_document(self, doc_id: str):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
doc = await self.client.get_document_by_id(doc_id)
if doc is None:
self.console.print(f"[red]Document with id {doc_id} not found.[/red]")
@ -177,7 +178,7 @@ class HaikuRAGApp:
self._rich_print_document(doc, truncate=False)
async def delete_document(self, doc_id: str):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
deleted = await self.client.delete_document(doc_id)
if deleted:
self.console.print(
@ -189,7 +190,7 @@ class HaikuRAGApp:
)
async def search(self, query: str, limit: int = 5, filter: str | None = None):
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
results = await self.client.search(query, limit=limit, filter=filter)
if not results:
self.console.print("[yellow]No results found.[/yellow]")
@ -212,21 +213,20 @@ class HaikuRAGApp:
deep: Use deep QA mode (multi-step reasoning)
verbose: Show verbose output
"""
async with HaikuRAG(db_path=self.db_path) as self.client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as self.client:
try:
if deep:
from rich.console import Console
from haiku.rag.config import Config
from haiku.rag.qa.deep.dependencies import DeepQAContext
from haiku.rag.qa.deep.graph import build_deep_qa_graph
from haiku.rag.qa.deep.state import DeepQADeps, DeepQAState
graph = build_deep_qa_graph(config=Config)
graph = build_deep_qa_graph(config=self.config)
context = DeepQAContext(
original_question=question, use_citations=cite
)
state = DeepQAState.from_config(context=context, config=Config)
state = DeepQAState.from_config(context=context, config=self.config)
deps = DeepQADeps(
client=self.client, console=Console() if verbose else None
)
@ -254,18 +254,16 @@ class HaikuRAGApp:
question: The research question
verbose: Show verbose output
"""
async with HaikuRAG(db_path=self.db_path) as client:
async with HaikuRAG(db_path=self.db_path, config=self.config) as client:
try:
from haiku.rag.config import Config
if verbose:
self.console.print("[bold cyan]Starting research[/bold cyan]")
self.console.print(f"[bold blue]Question:[/bold blue] {question}")
self.console.print()
graph = build_research_graph(config=Config)
graph = build_research_graph(config=self.config)
context = ResearchContext(original_question=question)
state = ResearchState.from_config(context=context, config=Config)
state = ResearchState.from_config(context=context, config=self.config)
deps = ResearchDeps(
client=client, console=self.console if verbose else None
)
@ -341,7 +339,9 @@ class HaikuRAGApp:
self.console.print(f"[red]Error during research: {e}[/red]")
async def rebuild(self):
async with HaikuRAG(db_path=self.db_path, skip_validation=True) as client:
async with HaikuRAG(
db_path=self.db_path, config=self.config, skip_validation=True
) as client:
try:
documents = await client.list_documents()
total_docs = len(documents)
@ -369,7 +369,9 @@ class HaikuRAGApp:
async def vacuum(self):
"""Run database maintenance: optimize and cleanup table history."""
try:
async with HaikuRAG(db_path=self.db_path, skip_validation=True) as client:
async with HaikuRAG(
db_path=self.db_path, config=self.config, skip_validation=True
) as client:
await client.vacuum()
self.console.print(
"[bold green]Vacuum completed successfully.[/bold green]"
@ -383,7 +385,7 @@ class HaikuRAGApp:
self.console.print()
# Get all config fields dynamically
for field_name, field_value in Config.model_dump().items():
for field_name, field_value in self.config.model_dump().items():
# Format the display value
if isinstance(field_value, str) and (
"key" in field_name.lower()
@ -458,18 +460,18 @@ class HaikuRAGApp:
a2a_port: int = 8000,
):
"""Start the server with selected services."""
async with HaikuRAG(self.db_path) as client:
async with HaikuRAG(self.db_path, config=self.config) as client:
tasks = []
# Start file monitor if enabled
if enable_monitor:
monitor = FileWatcher(client=client)
monitor = FileWatcher(client=client, config=self.config)
monitor_task = asyncio.create_task(monitor.observe())
tasks.append(monitor_task)
# Start MCP server if enabled
if enable_mcp:
server = create_mcp_server(self.db_path)
server = create_mcp_server(self.db_path, config=self.config)
async def run_mcp():
if mcp_transport == "stdio":
@ -496,15 +498,15 @@ class HaikuRAGApp:
logger.info(f"Starting A2A server on {a2a_host}:{a2a_port}")
async def run_a2a():
app = create_a2a_app(db_path=self.db_path)
config = uvicorn.Config(
app = create_a2a_app(db_path=self.db_path, config=self.config)
uvicorn_config = uvicorn.Config(
app,
host=a2a_host,
port=a2a_port,
log_level="warning",
access_log=False,
)
server = uvicorn.Server(config)
server = uvicorn.Server(uvicorn_config)
await server.serve()
a2a_task = asyncio.create_task(run_a2a())

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@ -6,24 +6,41 @@ from pathlib import Path
from typing import Any
import typer
from dotenv import load_dotenv
# Load environment variables from .env file before importing Config
try:
from dotenv import load_dotenv
load_dotenv()
except ImportError:
pass
from haiku.rag.config import Config
from haiku.rag.app import HaikuRAGApp
from haiku.rag.config import (
AppConfig,
find_config_file,
get_config,
load_yaml_config,
set_config,
)
from haiku.rag.logging import configure_cli_logging
from haiku.rag.utils import is_up_to_date
# Load environment variables from .env file for API keys and service URLs
load_dotenv()
cli = typer.Typer(
context_settings={"help_option_names": ["-h", "--help"]}, no_args_is_help=True
)
def create_app(db: Path | None = None) -> HaikuRAGApp:
"""Create HaikuRAGApp with loaded config and resolved database path.
Args:
db: Optional database path. If None, uses path from config.
Returns:
HaikuRAGApp instance with proper config and db path.
"""
config = get_config()
db_path = db if db else config.storage.data_dir / "haiku.rag.lancedb"
return HaikuRAGApp(db_path=db_path, config=config)
async def check_version():
"""Check if haiku.rag is up to date and show warning if not."""
up_to_date, current_version, latest_version = await is_up_to_date()
@ -57,14 +74,15 @@ def main(
),
):
"""haiku.rag CLI - Vector database RAG system"""
# Store config path in environment for config loader to use
if config:
import os
os.environ["HAIKU_RAG_CONFIG_PATH"] = str(config.absolute())
# Load config from --config, local folder, or default directory
config_path = find_config_file(cli_path=config)
if config_path:
yaml_data = load_yaml_config(config_path)
loaded_config = AppConfig.model_validate(yaml_data)
set_config(loaded_config)
# Configure logging minimally for CLI context
if Config.environment == "development":
if get_config().environment == "development":
# Lazy import logfire only in development
try:
import logfire # type: ignore
@ -87,8 +105,8 @@ def main(
@cli.command("list", help="List all stored documents")
def list_documents(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -99,9 +117,7 @@ def list_documents(
help="SQL WHERE clause to filter documents (e.g., \"uri LIKE '%arxiv%'\")",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.list_documents(filter=filter))
@ -140,15 +156,13 @@ def add_document_text(
help="Metadata entries as KEY=VALUE (repeatable)",
metavar="KEY=VALUE",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
metadata = _parse_meta_options(meta)
asyncio.run(app.add_document_from_text(text=text, metadata=metadata or None))
@ -169,15 +183,13 @@ def add_document_src(
help="Metadata entries as KEY=VALUE (repeatable)",
metavar="KEY=VALUE",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
metadata = _parse_meta_options(meta)
asyncio.run(
app.add_document_from_source(
@ -191,15 +203,13 @@ def get_document(
doc_id: str = typer.Argument(
help="The ID of the document to get",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.get_document(doc_id=doc_id))
@ -208,15 +218,13 @@ def delete_document(
doc_id: str = typer.Argument(
help="The ID of the document to delete",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.delete_document(doc_id=doc_id))
@ -241,15 +249,13 @@ def search(
"-f",
help="SQL WHERE clause to filter documents (e.g., \"uri LIKE '%arxiv%'\")",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.search(query=query, limit=limit, filter=filter))
@ -258,8 +264,8 @@ def ask(
question: str = typer.Argument(
help="The question to ask",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -279,9 +285,7 @@ def ask(
help="Show verbose progress output (only with --deep)",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.ask(question=question, cite=cite, deep=deep, verbose=verbose))
@ -290,8 +294,8 @@ def research(
question: str = typer.Argument(
help="The research question to investigate",
),
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -301,17 +305,14 @@ def research(
help="Show verbose progress output",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.research(question=question, verbose=verbose))
@cli.command("settings", help="Display current configuration settings")
def settings():
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=Path()) # Don't need actual DB for settings
config = get_config()
app = HaikuRAGApp(db_path=Path(), config=config)
app.show_settings()
@ -321,16 +322,11 @@ def init_config(
Path("haiku.rag.yaml"),
help="Output path for the config file",
),
from_env: bool = typer.Option(
False,
"--from-env",
help="Migrate settings from .env file",
),
):
"""Generate a YAML configuration file with defaults or from .env."""
"""Generate a YAML configuration file with defaults."""
import yaml
from haiku.rag.config.loader import generate_default_config, load_config_from_env
from haiku.rag.config.loader import generate_default_config
if output.exists():
typer.echo(
@ -338,18 +334,7 @@ def init_config(
)
raise typer.Exit(1)
if from_env:
# Load from environment variables (including .env if present)
from dotenv import load_dotenv
load_dotenv()
config_data = load_config_from_env()
if not config_data:
typer.echo("Warning: No environment variables found to migrate.")
typer.echo("Generating default configuration instead.")
config_data = generate_default_config()
else:
config_data = generate_default_config()
config_data = generate_default_config()
# Write YAML with comments
with open(output, "w") as f:
@ -368,43 +353,37 @@ def init_config(
help="Rebuild the database by deleting all chunks and re-indexing all documents",
)
def rebuild(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.rebuild())
@cli.command("vacuum", help="Optimize and clean up all tables to reduce disk usage")
def vacuum(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.vacuum())
@cli.command("info", help="Show read-only database info (no upgrades or writes)")
def info(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
):
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
asyncio.run(app.info())
@ -425,8 +404,8 @@ def download_models_cmd():
help="Start haiku.rag server. Use --monitor, --mcp, and/or --a2a to enable services.",
)
def serve(
db: Path = typer.Option(
Config.storage.data_dir / "haiku.rag.lancedb",
db: Path | None = typer.Option(
None,
"--db",
help="Path to the LanceDB database file",
),
@ -478,9 +457,7 @@ def serve(
typer.echo("Error: --stdio requires --mcp")
raise typer.Exit(1)
from haiku.rag.app import HaikuRAGApp
app = HaikuRAGApp(db_path=db)
app = create_app(db)
transport = "stdio" if stdio else None

View file

@ -3,7 +3,6 @@ import os
from haiku.rag.config.loader import (
find_config_file,
generate_default_config,
load_config_from_env,
load_yaml_config,
)
from haiku.rag.config.models import (
@ -40,13 +39,36 @@ __all__ = [
"find_config_file",
"load_yaml_config",
"generate_default_config",
"load_config_from_env",
"get_config",
"set_config",
]
# Load config from YAML file or use defaults
config_path = find_config_file(None)
if config_path:
yaml_data = load_yaml_config(config_path)
Config = AppConfig.model_validate(yaml_data)
else:
Config = AppConfig()
# Global config instance - initially loads from default locations
_config: AppConfig | None = None
def _load_default_config() -> AppConfig:
"""Load config from default locations (used at import time)."""
config_path = find_config_file(None)
if config_path:
yaml_data = load_yaml_config(config_path)
return AppConfig.model_validate(yaml_data)
return AppConfig()
def set_config(config: AppConfig) -> None:
"""Set the global config instance (used by CLI to override)."""
global _config
_config = config
def get_config() -> AppConfig:
"""Get the current config instance."""
global _config
if _config is None:
_config = _load_default_config()
return _config
# Legacy compatibility - Config is the default instance
Config = _load_default_config()

View file

@ -32,7 +32,8 @@ def find_config_file(cli_path: Path | None = None) -> Path | None:
# Use same directory as data storage for config
from haiku.rag.utils import get_default_data_dir
user_config = get_default_data_dir() / "config.yaml"
data_dir = get_default_data_dir()
user_config = data_dir / "haiku.rag.yaml"
if user_config.exists():
return user_config
@ -85,59 +86,3 @@ def generate_default_config() -> dict:
},
"a2a": {"max_contexts": 1000},
}
def load_config_from_env() -> dict:
"""Load current config from environment variables (for migration)."""
result = {}
env_mappings = {
"ENV": "environment",
"DEFAULT_DATA_DIR": ("storage", "data_dir"),
"MONITOR_DIRECTORIES": ("monitor", "directories"),
"DISABLE_DB_AUTOCREATE": ("storage", "disable_autocreate"),
"VACUUM_RETENTION_SECONDS": ("storage", "vacuum_retention_seconds"),
"LANCEDB_URI": ("lancedb", "uri"),
"LANCEDB_API_KEY": ("lancedb", "api_key"),
"LANCEDB_REGION": ("lancedb", "region"),
"EMBEDDINGS_PROVIDER": ("embeddings", "provider"),
"EMBEDDINGS_MODEL": ("embeddings", "model"),
"EMBEDDINGS_VECTOR_DIM": ("embeddings", "vector_dim"),
"RERANK_PROVIDER": ("reranking", "provider"),
"RERANK_MODEL": ("reranking", "model"),
"QA_PROVIDER": ("qa", "provider"),
"QA_MODEL": ("qa", "model"),
"RESEARCH_PROVIDER": ("research", "provider"),
"RESEARCH_MODEL": ("research", "model"),
"CHUNK_SIZE": ("processing", "chunk_size"),
"CONTEXT_CHUNK_RADIUS": ("processing", "context_chunk_radius"),
"MARKDOWN_PREPROCESSOR": ("processing", "markdown_preprocessor"),
"OLLAMA_BASE_URL": ("providers", "ollama", "base_url"),
"VLLM_EMBEDDINGS_BASE_URL": ("providers", "vllm", "embeddings_base_url"),
"VLLM_RERANK_BASE_URL": ("providers", "vllm", "rerank_base_url"),
"VLLM_QA_BASE_URL": ("providers", "vllm", "qa_base_url"),
"VLLM_RESEARCH_BASE_URL": ("providers", "vllm", "research_base_url"),
"A2A_MAX_CONTEXTS": ("a2a", "max_contexts"),
}
for env_var, path in env_mappings.items():
value = os.getenv(env_var)
if value is not None:
# Special handling for MONITOR_DIRECTORIES - parse comma-separated list
if env_var == "MONITOR_DIRECTORIES":
if value.strip():
value = [p.strip() for p in value.split(",") if p.strip()]
else:
value = []
if isinstance(path, tuple):
current = result
for key in path[:-1]:
if key not in current:
current[key] = {}
current = current[key]
current[path[-1]] = value
else:
result[path] = value
return result

View file

@ -5,7 +5,7 @@ from fastmcp import FastMCP
from pydantic import BaseModel
from haiku.rag.client import HaikuRAG
from haiku.rag.config import Config
from haiku.rag.config import AppConfig, Config
from haiku.rag.research.models import ResearchReport
@ -25,7 +25,7 @@ class DocumentResult(BaseModel):
updated_at: str
def create_mcp_server(db_path: Path) -> FastMCP:
def create_mcp_server(db_path: Path, config: AppConfig = Config) -> FastMCP:
"""Create an MCP server with the specified database path."""
mcp = FastMCP("haiku-rag")
@ -37,7 +37,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
) -> str | None:
"""Add a document to the RAG system from a file path."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
result = await rag.create_document_from_source(
Path(file_path), title=title, metadata=metadata or {}
)
@ -54,7 +54,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
) -> str | None:
"""Add a document to the RAG system from a URL."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
result = await rag.create_document_from_source(
url, title=title, metadata=metadata or {}
)
@ -74,7 +74,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
) -> str | None:
"""Add a document to the RAG system from text content."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
document = await rag.create_document(
content, uri, title=title, metadata=metadata or {}
)
@ -86,7 +86,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
async def search_documents(query: str, limit: int = 5) -> list[SearchResult]:
"""Search the RAG system for documents using hybrid search (vector similarity + full-text search)."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
results = await rag.search(query, limit)
search_results = []
@ -110,7 +110,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
async def get_document(document_id: str) -> DocumentResult | None:
"""Get a document by its ID."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
document = await rag.get_document_by_id(document_id)
if document is None:
@ -145,7 +145,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
List of DocumentResult instances matching the criteria.
"""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
documents = await rag.list_documents(limit, offset, filter)
return [
@ -167,7 +167,7 @@ def create_mcp_server(db_path: Path) -> FastMCP:
async def delete_document(document_id: str) -> bool:
"""Delete a document by its ID."""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
return await rag.delete_document(document_id)
except Exception:
return False
@ -189,18 +189,17 @@ def create_mcp_server(db_path: Path) -> FastMCP:
The answer as a string.
"""
try:
async with HaikuRAG(db_path) as rag:
async with HaikuRAG(db_path, config=config) as rag:
if deep:
from haiku.rag.config import Config
from haiku.rag.qa.deep.dependencies import DeepQAContext
from haiku.rag.qa.deep.graph import build_deep_qa_graph
from haiku.rag.qa.deep.state import DeepQADeps, DeepQAState
graph = build_deep_qa_graph(config=Config)
graph = build_deep_qa_graph(config=config)
context = DeepQAContext(
original_question=question, use_citations=cite
)
state = DeepQAState.from_config(context=context, config=Config)
state = DeepQAState.from_config(context=context, config=config)
deps = DeepQADeps(client=rag)
result = await graph.run(state=state, deps=deps)
@ -231,10 +230,10 @@ def create_mcp_server(db_path: Path) -> FastMCP:
from haiku.rag.research.graph import build_research_graph
from haiku.rag.research.state import ResearchDeps, ResearchState
async with HaikuRAG(db_path) as rag:
graph = build_research_graph(config=Config)
async with HaikuRAG(db_path, config=config) as rag:
graph = build_research_graph(config=config)
context = ResearchContext(original_question=question)
state = ResearchState.from_config(context=context, config=Config)
state = ResearchState.from_config(context=context, config=config)
deps = ResearchDeps(client=rag)
result = await graph.run(state=state, deps=deps)

View file

@ -8,7 +8,7 @@ runner = CliRunner()
def test_list_documents():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.list_documents = AsyncMock()
mock_app.return_value = mock_app_instance
@ -20,7 +20,7 @@ def test_list_documents():
def test_add_document_text():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_text = AsyncMock()
mock_app.return_value = mock_app_instance
@ -35,7 +35,7 @@ def test_add_document_text():
def test_add_document_src():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_source = AsyncMock()
mock_app.return_value = mock_app_instance
@ -47,7 +47,7 @@ def test_add_document_src():
def test_add_document_src_with_title():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_source = AsyncMock()
mock_app.return_value = mock_app_instance
@ -63,7 +63,7 @@ def test_add_document_src_with_title():
def test_add_document_text_with_meta():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_text = AsyncMock()
mock_app.return_value = mock_app_instance
@ -88,7 +88,7 @@ def test_add_document_text_with_meta():
def test_add_document_src_with_meta():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_source = AsyncMock()
mock_app.return_value = mock_app_instance
@ -113,7 +113,7 @@ def test_add_document_src_with_meta():
def test_add_document_text_with_numeric_meta():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_text = AsyncMock()
mock_app.return_value = mock_app_instance
@ -138,7 +138,7 @@ def test_add_document_text_with_numeric_meta():
def test_get_document():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.get_document = AsyncMock()
mock_app.return_value = mock_app_instance
@ -150,7 +150,7 @@ def test_get_document():
def test_delete_document():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.delete_document = AsyncMock()
mock_app.return_value = mock_app_instance
@ -162,7 +162,7 @@ def test_delete_document():
def test_search():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.search = AsyncMock()
mock_app.return_value = mock_app_instance
@ -184,7 +184,7 @@ def test_serve_no_flags():
def test_serve_mcp_only():
"""Test serve command with MCP only."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.serve = AsyncMock()
mock_app.return_value = mock_app_instance
@ -203,7 +203,7 @@ def test_serve_mcp_only():
def test_serve_mcp_stdio():
"""Test serve command with MCP stdio transport."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.serve = AsyncMock()
mock_app.return_value = mock_app_instance
@ -218,7 +218,7 @@ def test_serve_mcp_stdio():
def test_serve_monitor_only():
"""Test serve command with monitor only."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.serve = AsyncMock()
mock_app.return_value = mock_app_instance
@ -235,7 +235,7 @@ def test_serve_monitor_only():
def test_serve_a2a_only():
"""Test serve command with A2A only."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.serve = AsyncMock()
mock_app.return_value = mock_app_instance
@ -254,7 +254,7 @@ def test_serve_a2a_only():
def test_serve_all_services():
"""Test serve command with all services."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.serve = AsyncMock()
mock_app.return_value = mock_app_instance
@ -271,7 +271,7 @@ def test_serve_all_services():
def test_serve_custom_ports():
"""Test serve command with custom ports."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.serve = AsyncMock()
mock_app.return_value = mock_app_instance
@ -295,7 +295,7 @@ def test_serve_stdio_without_mcp():
def test_ask():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.ask = AsyncMock()
mock_app.return_value = mock_app_instance
@ -309,7 +309,7 @@ def test_ask():
def test_ask_with_cite():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.ask = AsyncMock()
mock_app.return_value = mock_app_instance
@ -323,7 +323,7 @@ def test_ask_with_cite():
def test_ask_with_deep():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.ask = AsyncMock()
mock_app.return_value = mock_app_instance
@ -337,7 +337,7 @@ def test_ask_with_deep():
def test_ask_with_deep_and_cite():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.ask = AsyncMock()
mock_app.return_value = mock_app_instance
@ -351,7 +351,7 @@ def test_ask_with_deep_and_cite():
def test_ask_with_deep_and_verbose():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.ask = AsyncMock()
mock_app.return_value = mock_app_instance
@ -365,7 +365,7 @@ def test_ask_with_deep_and_verbose():
def test_info():
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.info = AsyncMock()
mock_app.return_value = mock_app_instance
@ -378,7 +378,7 @@ def test_info():
def test_add_document_src_directory(tmp_path):
"""Test adding documents from a directory recursively."""
with patch("haiku.rag.app.HaikuRAGApp") as mock_app:
with patch("haiku.rag.cli.HaikuRAGApp") as mock_app:
mock_app_instance = MagicMock()
mock_app_instance.add_document_from_source = AsyncMock()
mock_app.return_value = mock_app_instance

View file

@ -1,11 +1,8 @@
import os
import pytest
from haiku.rag.config.loader import (
find_config_file,
generate_default_config,
load_config_from_env,
load_yaml_config,
)
@ -50,7 +47,7 @@ def test_find_config_file_user_config(tmp_path, monkeypatch):
"haiku.rag.utils.get_default_data_dir", mock_get_default_data_dir
)
config_file = tmp_path / "config.yaml"
config_file = tmp_path / "haiku.rag.yaml"
config_file.write_text("environment: production")
found = find_config_file()
@ -114,68 +111,29 @@ def test_generate_default_config():
assert config["embeddings"]["vector_dim"] == 4096
def test_load_config_from_env(monkeypatch):
"""Test loading config from environment variables."""
monkeypatch.setenv("ENV", "development")
monkeypatch.setenv("EMBEDDINGS_PROVIDER", "openai")
monkeypatch.setenv("EMBEDDINGS_MODEL", "text-embedding-3-small")
monkeypatch.setenv("EMBEDDINGS_VECTOR_DIM", "1536")
monkeypatch.setenv("QA_PROVIDER", "anthropic")
monkeypatch.setenv("QA_MODEL", "claude-3-haiku")
config = load_config_from_env()
assert config["environment"] == "development"
assert config["embeddings"]["provider"] == "openai"
assert config["embeddings"]["model"] == "text-embedding-3-small"
assert config["embeddings"]["vector_dim"] == "1536"
assert config["qa"]["provider"] == "anthropic"
assert config["qa"]["model"] == "claude-3-haiku"
def test_load_config_from_env_empty():
"""Test loading from env when no relevant vars set."""
# Clear any env vars that might be set
env_vars = [
"ENV",
"EMBEDDINGS_PROVIDER",
"QA_PROVIDER",
"OPENAI_API_KEY",
]
original_values = {}
for var in env_vars:
original_values[var] = os.environ.get(var)
if var in os.environ:
del os.environ[var]
try:
config = load_config_from_env()
# Should return empty or minimal dict
assert isinstance(config, dict)
finally:
# Restore original values
for var, value in original_values.items():
if value is not None:
os.environ[var] = value
def test_config_precedence_cwd_over_user(tmp_path, monkeypatch):
"""Test that cwd config takes precedence over user config."""
monkeypatch.chdir(tmp_path)
# Create separate directories for cwd and user config
cwd_dir = tmp_path / "cwd"
cwd_dir.mkdir()
user_dir = tmp_path / "user"
user_dir.mkdir()
# Mock get_default_data_dir to return tmp_path
monkeypatch.chdir(cwd_dir)
# Mock get_default_data_dir to return user_dir
def mock_get_default_data_dir():
return tmp_path
return user_dir
monkeypatch.setattr(
"haiku.rag.utils.get_default_data_dir", mock_get_default_data_dir
)
# Create both configs
cwd_config = tmp_path / "haiku.rag.yaml"
cwd_config = cwd_dir / "haiku.rag.yaml"
cwd_config.write_text("environment: from-cwd")
user_config = tmp_path / "config.yaml"
user_config = user_dir / "haiku.rag.yaml"
user_config.write_text("environment: from-user")
found = find_config_file()