ran ruff format via uv
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@@ -17,31 +17,31 @@ logger = logging.getLogger(__name__)
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class UnstructuredClient:
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"""Client for interacting with the Unstructured API.
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The Unstructured API provides document parsing capabilities for various formats
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including PDF, DOCX, images with OCR, and more.
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API Documentation: https://docs.unstructured.io/api-reference/api-services/api-parameters
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"""
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def __init__(self, api_url: Optional[str] = None, timeout: int = 120):
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"""Initialize the Unstructured API client.
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Args:
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api_url: Base URL of the Unstructured API. If None, will use config.
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timeout: Request timeout in seconds (default: 120 for large documents)
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"""
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self.api_url = api_url or get_unstructured_api_url()
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self.timeout = timeout
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if not self.api_url:
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raise ValueError(
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"Unstructured API URL not configured. "
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"Set ENABLE_UNSTRUCTURED_PARSING=true and UNSTRUCTURED_API_URL in environment."
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)
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logger.info(f"Initialized UnstructuredClient with API URL: {self.api_url}")
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async def partition_document(
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self,
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content: bytes,
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@@ -52,7 +52,7 @@ class UnstructuredClient:
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extract_image_block_types: Optional[list[str]] = None,
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) -> Tuple[str, dict]:
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"""Parse a document using the Unstructured API.
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Args:
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content: The document content as bytes
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filename: The filename (used for format detection)
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@@ -62,12 +62,12 @@ class UnstructuredClient:
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languages: List of language codes for OCR (e.g., ["eng", "deu"]).
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If None, uses the value from UNSTRUCTURED_LANGUAGES env var.
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extract_image_block_types: Types of elements to extract from images
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Returns:
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Tuple of (parsed_text, metadata) where:
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- parsed_text: The extracted text content
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- metadata: Additional metadata about the parsing
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Raises:
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httpx.HTTPError: If the API request fails
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Exception: If parsing fails
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@@ -75,29 +75,33 @@ class UnstructuredClient:
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# Use environment configuration as defaults
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if strategy is None:
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strategy = get_unstructured_strategy()
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if languages is None:
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languages = get_unstructured_languages()
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# Prepare the multipart form data
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files = {
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"files": (filename, io.BytesIO(content), content_type or "application/octet-stream")
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"files": (
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filename,
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io.BytesIO(content),
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content_type or "application/octet-stream",
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)
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}
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# Prepare the request data
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data = {
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"strategy": strategy,
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"languages": ",".join(languages),
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}
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if extract_image_block_types:
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data["extract_image_block_types"] = ",".join(extract_image_block_types)
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logger.debug(
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f"Partitioning document '{filename}' with strategy '{strategy}', "
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f"languages: {languages}"
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)
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try:
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async with httpx.AsyncClient(timeout=self.timeout) as client:
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response = await client.post(
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@@ -106,25 +110,25 @@ class UnstructuredClient:
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data=data,
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)
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response.raise_for_status()
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# Parse the response
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elements = response.json()
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# Extract text from elements
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# Each element has a "text" field
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texts = []
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element_types = {}
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for element in elements:
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if "text" in element and element["text"]:
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texts.append(element["text"])
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# Track element types
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el_type = element.get("type", "unknown")
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element_types[el_type] = element_types.get(el_type, 0) + 1
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parsed_text = "\n\n".join(texts)
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# Collect metadata
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metadata = {
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"element_count": len(elements),
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@@ -132,26 +136,28 @@ class UnstructuredClient:
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"element_types": element_types,
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"strategy": strategy,
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"languages": languages,
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"parsing_method": "unstructured_api"
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"parsing_method": "unstructured_api",
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}
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logger.debug(
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f"Successfully parsed document: {len(elements)} elements, "
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f"{len(parsed_text)} characters"
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)
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return parsed_text, metadata
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except httpx.HTTPError as e:
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logger.error(f"HTTP error calling Unstructured API: {e}")
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raise Exception(f"Failed to parse document via Unstructured API: {str(e)}") from e
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raise Exception(
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f"Failed to parse document via Unstructured API: {str(e)}"
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) from e
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except Exception as e:
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logger.error(f"Unexpected error parsing document: {e}")
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raise Exception(f"Failed to parse document: {str(e)}") from e
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async def health_check(self) -> bool:
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"""Check if the Unstructured API is available.
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Returns:
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True if the API is healthy, False otherwise.
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"""
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@@ -161,4 +167,4 @@ class UnstructuredClient:
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return response.status_code == 200
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except Exception as e:
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logger.warning(f"Unstructured API health check failed: {e}")
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return False
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return False
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@@ -42,20 +42,20 @@ def setup_logging():
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# Document Parsing Configuration
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def get_unstructured_api_url() -> Optional[str]:
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"""Get the Unstructured API URL from environment variables.
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Returns:
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The Unstructured API URL if parsing is enabled, None otherwise.
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"""
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enabled = os.getenv("ENABLE_UNSTRUCTURED_PARSING", "true").lower() == "true"
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if not enabled:
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return None
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return os.getenv("UNSTRUCTURED_API_URL", "http://unstructured:8000")
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def is_unstructured_parsing_enabled() -> bool:
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"""Check if unstructured document parsing is enabled.
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Returns:
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True if enabled, False otherwise.
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"""
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@@ -64,36 +64,36 @@ def is_unstructured_parsing_enabled() -> bool:
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def get_unstructured_strategy() -> str:
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"""Get the parsing strategy for the Unstructured API.
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Valid values are:
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- 'auto': Automatically choose the best strategy (default)
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- 'fast': Fast parsing without OCR
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- 'hi_res': High-resolution parsing with OCR for better accuracy
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Returns:
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The parsing strategy to use.
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"""
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strategy = os.getenv("UNSTRUCTURED_STRATEGY", "auto").lower()
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valid_strategies = ["auto", "fast", "hi_res"]
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if strategy not in valid_strategies:
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logging.warning(
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f"Invalid UNSTRUCTURED_STRATEGY '{strategy}'. Using 'hi_res'. "
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f"Valid options: {', '.join(valid_strategies)}"
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)
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return "hi_res"
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return strategy
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def get_unstructured_languages() -> list[str]:
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"""Get the OCR languages for the Unstructured API.
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Languages should be specified as ISO 639-3 codes (e.g., 'eng', 'deu', 'fra').
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Multiple languages can be specified separated by commas.
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Default languages: English (eng) and German (deu)
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Common language codes:
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- eng: English
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- deu: German
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@@ -106,17 +106,19 @@ def get_unstructured_languages() -> list[str]:
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- zho: Chinese
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- jpn: Japanese
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- kor: Korean
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Returns:
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List of language codes for OCR processing.
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"""
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languages_str = os.getenv("UNSTRUCTURED_LANGUAGES", "eng,deu")
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# Split by comma and clean up whitespace
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languages = [lang.strip() for lang in languages_str.split(",") if lang.strip()]
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if not languages:
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logging.warning("No languages specified in UNSTRUCTURED_LANGUAGES. Using default: eng,deu")
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logging.warning(
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"No languages specified in UNSTRUCTURED_LANGUAGES. Using default: eng,deu"
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)
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return ["eng", "deu"]
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return languages
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@@ -3,7 +3,10 @@ import logging
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from mcp.server.fastmcp import Context, FastMCP
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from nextcloud_mcp_server.client import NextcloudClient
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from nextcloud_mcp_server.utils.document_parser import is_parseable_document, parse_document
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from nextcloud_mcp_server.utils.document_parser import (
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is_parseable_document,
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parse_document,
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)
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from nextcloud_mcp_server.config import is_unstructured_parsing_enabled
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logger = logging.getLogger(__name__)
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@@ -62,7 +65,7 @@ def configure_webdav_tools(mcp: FastMCP):
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content, content_type = await client.webdav.read_file(path)
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# Check if this is a parseable document (PDF, DOCX, etc.)
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if (is_unstructured_parsing_enabled() and is_parseable_document(content_type)):
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if is_unstructured_parsing_enabled() and is_parseable_document(content_type):
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try:
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logger.info(f"Parsing document '{path}' of type '{content_type}'")
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parsed_text, metadata = await parse_document(
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@@ -1 +1 @@
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"""Utility functions for the Nextcloud MCP server."""
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"""Utility functions for the Nextcloud MCP server."""
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@@ -35,56 +35,61 @@ PARSEABLE_MIME_TYPES = {
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"image/bmp": "image",
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}
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def is_parseable_document(content_type: Optional[str]) -> bool:
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"""Check if a document type can be parsed.
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Args:
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content_type: The MIME type of the document
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Returns:
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True if the document can be parsed, False otherwise
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"""
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if not content_type:
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return False
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# Handle content types with additional parameters (e.g., "application/pdf; charset=utf-8")
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base_content_type = content_type.split(";")[0].strip().lower()
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return base_content_type in PARSEABLE_MIME_TYPES
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async def parse_document(
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content: bytes,
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content_type: Optional[str],
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filename: Optional[str] = None
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content: bytes, content_type: Optional[str], filename: Optional[str] = None
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) -> Tuple[str, dict]:
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"""Parse a document using the Unstructured API.
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Args:
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content: The document content as bytes
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content_type: The MIME type of the document
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filename: Optional filename to help with format detection
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Returns:
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Tuple of (parsed_text, metadata) where:
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- parsed_text: The extracted text content
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- metadata: Additional metadata about the parsing
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Raises:
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ValueError: If the document type is not supported
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Exception: If parsing fails
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"""
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if not is_parseable_document(content_type):
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raise ValueError(f"Document type '{content_type}' is not supported for parsing")
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base_content_type = content_type.split(";")[0].strip().lower() if content_type else ""
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base_content_type = (
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content_type.split(";")[0].strip().lower() if content_type else ""
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)
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doc_type = PARSEABLE_MIME_TYPES.get(base_content_type, "unknown")
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logger.debug(f"Parsing document of type '{doc_type}' (MIME: {content_type})")
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# Check if unstructured parsing is enabled via environment
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if is_unstructured_parsing_enabled():
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logger.debug("Using Unstructured API for parsing")
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try:
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from nextcloud_mcp_server.client.unstructured_client import UnstructuredClient
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from nextcloud_mcp_server.client.unstructured_client import (
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UnstructuredClient,
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)
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client = UnstructuredClient()
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# The client will automatically use environment configuration
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# (UNSTRUCTURED_STRATEGY and UNSTRUCTURED_LANGUAGES)
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@@ -97,6 +102,7 @@ async def parse_document(
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logger.error(f"Unstructured API parsing failed: {e}")
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# If unstructured parsing fails, return base64 as fallback
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import base64
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parsed_text = f"Document could not be parsed. Base64 content: {base64.b64encode(content).decode('ascii')[:200]}..."
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metadata = {
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"document_type": doc_type,
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@@ -104,18 +110,21 @@ async def parse_document(
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"element_count": 0,
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"text_length": len(parsed_text),
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"parsing_method": "fallback_base64",
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"error": str(e)
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"error": str(e),
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}
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return parsed_text, metadata
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else:
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logger.debug("Unstructured parsing is disabled, returning base64 encoded content as fallback")
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logger.debug(
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"Unstructured parsing is disabled, returning base64 encoded content as fallback"
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)
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import base64
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parsed_text = f"Document could not be parsed. Base64 content: {base64.b64encode(content).decode('ascii')[:200]}..."
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metadata = {
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"document_type": doc_type,
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"mime_type": content_type,
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"element_count": 0,
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"text_length": len(parsed_text),
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"parsing_method": "fallback_base64"
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"parsing_method": "fallback_base64",
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}
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return parsed_text, metadata
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return parsed_text, metadata
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