refactor: Transform document parsing into pluggable processor architecture
Refactors PR #190's hardcoded Unstructured.io integration into a flexible, extensible plugin system supporting multiple text extraction engines. - **`DocumentProcessor` ABC**: Abstract interface for all processors - **`ProcessorRegistry`**: Central registry for discovery and routing - **`ProcessingResult`**: Standardized output format across processors - **`UnstructuredProcessor`**: Refactored from `UnstructuredClient` - **`TesseractProcessor`**: Local OCR for images (lightweight alternative) - **`CustomHTTPProcessor`**: Generic wrapper for custom HTTP APIs - New `get_document_processor_config()` returns structured config - Supports enabling/disabling individual processors - Per-processor configuration via environment variables - **Breaking Change**: `ENABLE_UNSTRUCTURED_PARSING` replaced with: - `ENABLE_DOCUMENT_PROCESSING=true/false` (master switch) - `ENABLE_UNSTRUCTURED=true/false` (per-processor) - `ENABLE_TESSERACT=true/false` - `ENABLE_CUSTOM_PROCESSOR=true/false` - `parse_document()` now uses `ProcessorRegistry` - Auto-selects appropriate processor based on MIME type - Processor priority system (Unstructured=10, Tesseract=5, Custom=1) - `initialize_document_processors()` registers processors at startup - Integrated into both BasicAuth and OAuth lifespans - Graceful degradation if processors fail to initialize ```env ENABLE_DOCUMENT_PROCESSING=false ENABLE_UNSTRUCTURED=false UNSTRUCTURED_API_URL=http://unstructured:8000 UNSTRUCTURED_STRATEGY=auto # auto|fast|hi_res UNSTRUCTURED_LANGUAGES=eng,deu ENABLE_TESSERACT=false TESSERACT_LANG=eng ENABLE_CUSTOM_PROCESSOR=false CUSTOM_PROCESSOR_URL=http://localhost:9000/process CUSTOM_PROCESSOR_TYPES=application/pdf,image/jpeg ``` - **Removed**: `tests/test_unstructured_config.py` (legacy tests) - **Added**: `tests/unit/test_document_processor_config.py` - 7 unit tests for new config system - Tests individual and multi-processor configurations - **Added**: - `nextcloud_mcp_server/document_processors/__init__.py` - `nextcloud_mcp_server/document_processors/base.py` - `nextcloud_mcp_server/document_processors/registry.py` - `nextcloud_mcp_server/document_processors/unstructured.py` - `nextcloud_mcp_server/document_processors/tesseract.py` - `nextcloud_mcp_server/document_processors/custom_http.py` - `tests/unit/test_document_processor_config.py` - **Modified**: - `nextcloud_mcp_server/config.py` - New plugin config system - `nextcloud_mcp_server/app.py` - Processor initialization - `nextcloud_mcp_server/utils/document_parser.py` - Uses registry - `nextcloud_mcp_server/server/webdav.py` - Import updates - `env.sample` - New configuration format - `docker-compose.yml` - (profile changes from previous work) - **Removed**: - `nextcloud_mcp_server/client/unstructured_client.py` - Replaced by UnstructuredProcessor - `tests/test_unstructured_config.py` - Replaced with new tests ✅ **Extensible**: Add processors without modifying core code ✅ **Testable**: Mock processors for unit tests ✅ **Configurable**: Enable only needed processors ✅ **Flexible**: Choose fast (Tesseract) vs accurate (Unstructured) ✅ **Opt-in**: Disabled by default, no mandatory dependencies Users upgrading from PR #190 need to update environment variables: ```bash ENABLE_UNSTRUCTURED_PARSING=true ENABLE_DOCUMENT_PROCESSING=true ENABLE_UNSTRUCTURED=true ``` 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@@ -1,170 +0,0 @@
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"""HTTP client for Unstructured API."""
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import io
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import logging
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from typing import Optional, Tuple
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import httpx
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from nextcloud_mcp_server.config import (
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get_unstructured_api_url,
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get_unstructured_languages,
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get_unstructured_strategy,
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)
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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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filename: str,
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content_type: Optional[str] = None,
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strategy: Optional[str] = None,
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languages: Optional[list[str]] = None,
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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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content_type: Optional MIME type
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strategy: Parsing strategy - "auto", "fast", or "hi_res" (OCR-based).
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If None, uses the value from UNSTRUCTURED_STRATEGY env var.
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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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"""
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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": (
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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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f"{self.api_url}/general/v0/general",
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files=files,
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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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"text_length": len(parsed_text),
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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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}
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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(
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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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try:
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async with httpx.AsyncClient(timeout=5) as client:
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response = await client.get(f"{self.api_url}/healthcheck")
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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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