Initial DocsMCP stack
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# Data Models for document processing and API responses
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from typing import Any, Dict, List, Optional
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class DocumentChunk:
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"""Represents a chunk of text to be embedded."""
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def __init__(
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self,
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text: str,
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metadata: Optional[Dict[str, Any]] = None
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):
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self.text = text
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self.metadata = metadata or {}
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@property
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def doc_id(self) -> str:
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"""Generate a document ID from content."""
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return f"doc-{hash(self.text)}"
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class IngestResponse:
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"""Response model for document ingestion."""
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def __init__(
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self,
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success: bool,
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chunks_count: int = 0,
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error: Optional[str] = None
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):
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self.success = success
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self.chunks_count = chunks_count
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self.error = error
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class SearchResponse:
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"""Response model for search results."""
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def __init__(
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self,
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results: List[Dict[str, Any]],
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query: str,
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total_results: int
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):
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self.results = results
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self.query = query
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self.total_results = total_results
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