saidsurucu
7f78f87508
Add Insurance Arbitration Commission integration with Tavily search and direct PDF download for 64 quarterly journal issues (2010-2025). Tools: - search_sigorta_tahkim_decisions: Search via Tavily API - get_sigorta_tahkim_document_markdown: PDF download + paginated markdown - search_within_sigorta_tahkim_issue: Keyword search within individual decisions of a journal issue, with Turkish İ/I case folding support Total tools: 25 (was 22)
60 lines
2.7 KiB
Python
60 lines
2.7 KiB
Python
# sigorta_tahkim_mcp_module/models.py
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from pydantic import BaseModel, Field
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from typing import List
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class SigortaTahkimSearchRequest(BaseModel):
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"""Request model for searching Sigorta Tahkim Komisyonu decisions via Tavily API."""
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keywords: str = Field(..., description="Search keywords in Turkish")
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page: int = Field(1, ge=1, description="Page number (1-indexed)")
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pageSize: int = Field(10, ge=1, le=50, description="Results per page (1-50)")
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class SigortaTahkimDecisionSummary(BaseModel):
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"""Summary of a Sigorta Tahkim decision from search results."""
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title: str = Field(..., description="Decision title or journal issue info")
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document_id: str = Field(..., description="Journal issue number (e.g., '64')")
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content: str = Field(..., description="Decision summary/excerpt")
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url: str = Field("", description="Source URL")
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class SigortaTahkimSearchResult(BaseModel):
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"""Response model for Sigorta Tahkim decision search results."""
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decisions: List[SigortaTahkimDecisionSummary] = Field(
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default_factory=list,
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description="List of matching decisions"
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)
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total_results: int = Field(0, description="Total number of results")
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page: int = Field(1, description="Current page number")
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pageSize: int = Field(10, description="Results per page")
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class SigortaTahkimDocumentMarkdown(BaseModel):
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"""Sigorta Tahkim journal issue converted to Markdown format."""
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document_id: str = Field(..., description="Journal issue number")
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markdown_content: str = Field("", description="Document content in Markdown")
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page_number: int = Field(1, description="Current page number")
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total_pages: int = Field(1, description="Total number of pages")
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source_url: str = Field("", description="PDF source URL")
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class SigortaTahkimSearchWithinMatch(BaseModel):
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"""A single matching decision from search within a journal issue."""
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decision_header: str = Field(..., description="Decision header (date and K-number)")
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relevance_score: int = Field(0, description="Number of keyword matches")
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excerpt: str = Field("", description="Matching excerpt with context")
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body_length: int = Field(0, description="Full decision body length in chars")
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class SigortaTahkimSearchWithinResult(BaseModel):
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"""Response model for search within a journal issue."""
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issue_number: str = Field(..., description="Journal issue number searched")
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keyword: str = Field("", description="Search keyword used")
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total_decisions: int = Field(0, description="Total decisions in issue")
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matching_decisions: int = Field(0, description="Number of matching decisions")
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matches: List[SigortaTahkimSearchWithinMatch] = Field(
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default_factory=list,
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description="List of matching decisions sorted by relevance"
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)
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