fix(mcp): Move all imports to the top of modules
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@@ -1,9 +1,16 @@
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"""Base interfaces and data structures for search algorithms."""
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import logging
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from abc import ABC, abstractmethod
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from dataclasses import dataclass
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from typing import Any, Protocol, runtime_checkable
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from qdrant_client.models import FieldCondition, Filter, MatchValue
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from nextcloud_mcp_server.config import get_settings
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from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
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from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
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@runtime_checkable
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class NextcloudClientProtocol(Protocol):
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@@ -78,13 +85,6 @@ async def get_indexed_doc_types(user_id: str) -> set[str]:
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>>> if "note" in types:
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... # Search notes
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"""
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import logging
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from qdrant_client.models import FieldCondition, Filter, MatchValue
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from nextcloud_mcp_server.config import get_settings
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from nextcloud_mcp_server.vector.placeholder import get_placeholder_filter
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from nextcloud_mcp_server.vector.qdrant_client import get_qdrant_client
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logger = logging.getLogger(__name__)
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settings = get_settings()
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@@ -7,6 +7,9 @@ position markers for better visualization and understanding of search results.
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import logging
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from dataclasses import dataclass
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import pymupdf
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import pymupdf4llm
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from nextcloud_mcp_server.client import NextcloudClient
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logger = logging.getLogger(__name__)
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@@ -549,8 +552,6 @@ async def _fetch_document_text(
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# Extract text from PDF using PyMuPDF
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# IMPORTANT: Use pymupdf4llm.to_markdown() to match indexing extraction
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# This ensures character offsets align between indexed chunks and retrieval
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import pymupdf
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import pymupdf4llm
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logger.debug(f"Extracting text from PDF: {file_path}")
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pdf_doc = pymupdf.open(stream=file_content, filetype="pdf")
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@@ -10,6 +10,9 @@ varies between indexing and rendering.
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import logging
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import re
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import shutil
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import tempfile
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from pathlib import Path
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from typing import Optional
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import pymupdf
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@@ -77,8 +80,6 @@ class PDFHighlighter:
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Tuple of (full_text, page_boundaries) where page_boundaries is a list of:
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{"page": 1, "start_offset": 0, "end_offset": 1234}
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"""
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import tempfile
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from pathlib import Path
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page_boundaries = []
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text_parts = []
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@@ -110,7 +111,6 @@ class PDFHighlighter:
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full_text = "".join(text_parts)
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# Clean up temp directory and extracted images
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import shutil
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try:
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shutil.rmtree(temp_dir)
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@@ -590,8 +590,6 @@ class PDFHighlighter:
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Returns:
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Tuple of (png_bytes, page_number, highlight_count) or None if failed
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"""
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import tempfile
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from pathlib import Path
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temp_pdf_path = None
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try:
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