import sys from importlib import metadata from io import BytesIO from pathlib import Path import httpx from docling.document_converter import DocumentConverter from docling_core.types.doc.document import DoclingDocument from docling_core.types.io import DocumentStream from packaging.version import Version, parse def get_default_data_dir() -> Path: """Get the user data directory for the current system platform. Linux: ~/.local/share/haiku.rag macOS: ~/Library/Application Support/haiku.rag Windows: C:/Users//AppData/Roaming/haiku.rag Returns: User Data Path. """ home = Path.home() system_paths = { "win32": home / "AppData/Roaming/haiku.rag", "linux": home / ".local/share/haiku.rag", "darwin": home / "Library/Application Support/haiku.rag", } data_path = system_paths[sys.platform] return data_path def semantic_version_to_int(version: str) -> int: """Convert a semantic version string to an integer. Args: version: Semantic version string. Returns: Integer representation of semantic version. """ major, minor, patch = version.split(".") major = int(major) << 16 minor = int(minor) << 8 patch = int(patch) return major + minor + patch def int_to_semantic_version(version: int) -> str: """Convert an integer to a semantic version string. Args: version: Integer representation of semantic version. Returns: Semantic version string. """ major = version >> 16 minor = (version >> 8) & 255 patch = version & 255 return f"{major}.{minor}.{patch}" async def is_up_to_date() -> tuple[bool, Version, Version]: """Check whether haiku.rag is current. Returns: A tuple containing a boolean indicating whether haiku.rag is current, the running version and the latest version. """ async with httpx.AsyncClient() as client: running_version = parse(metadata.version("haiku.rag")) try: response = await client.get("https://pypi.org/pypi/haiku.rag/json") data = response.json() pypi_version = parse(data["info"]["version"]) except Exception: # If no network connection, do not raise alarms. pypi_version = running_version return running_version >= pypi_version, running_version, pypi_version def text_to_docling_document(text: str, name: str = "content.md") -> DoclingDocument: """Convert text content to a DoclingDocument. Args: text: The text content to convert. name: The name to use for the document stream (defaults to "content.md"). Returns: A DoclingDocument created from the text content. """ bytes_io = BytesIO(text.encode("utf-8")) doc_stream = DocumentStream(name=name, stream=bytes_io) converter = DocumentConverter() result = converter.convert(doc_stream) return result.document