from pydantic import BaseModel, Field
from typing import *

class DocRequest(BaseModel):
    """
    Request model for single document retrieval.
    
    Used to specify which document or specification to retrieve by its unique identifier.
    """
    doc_id: str = Field(
        ..., 
        title="Document Identifier",
        description="Unique identifier for the document or specification.",
    )

class DocResponse(BaseModel):
    """
    Response model for single document retrieval.
    
    Contains all available metadata and access information for the requested document.
    """
    doc_id: str = Field(
        ..., 
        title="Document Identifier", 
        description="Echoed document identifier from the request"
    )
    url: str = Field(
        ..., 
        title="Document URL", 
        description="Direct download URL"
    )
    version: Optional[str] = Field(
        None, 
        title="Document Version", 
        description="Extracted version information (e.g., 'h20', 'v17.9.0') when available"
    )
    scope: Optional[str] = Field(
        None, 
        title="Document Scope", 
        description="Brief description of the document's scope and purpose from metadata"
    )
    search_time: float = Field(
        ..., 
        title="Search Duration", 
        description="Time spent processing the request in seconds"
    )

class BatchDocRequest(BaseModel):
    """
    Request model for batch document retrieval.
    
    Allows retrieval of multiple documents in a single API call for efficiency.
    """
    doc_ids: List[str] = Field(
        ..., 
        title="Document Identifier List",
        description="List of document identifiers to retrieve."
    )

class BatchDocResponse(BaseModel):
    """
    Response model for batch document retrieval.
    
    Provides organized results separating found documents from missing ones.
    """
    results: Dict[str, str] = Field(
        ..., 
        title="Found Documents",
        description="Dictionary mapping document IDs to their corresponding URLs"
    )
    missing: List[str] = Field(
        ..., 
        title="Missing Documents",
        description="List of document IDs that could not be found or are not indexed"
    )
    search_time: float = Field(
        ..., 
        title="Total Search Duration", 
        description="Total time spent processing the batch request in seconds"
    )

class KeywordRequest(BaseModel):
    """
    Request model for keyword-based specification search.
    
    Provides flexible search options with multiple modes and filtering capabilities.
    """
    keywords: Optional[str] = Field(
        "", 
        title="Search Keywords",
        description="Comma-separated keywords for searching specifications.",
        examples=["5G NR,authentication", "handover,mobility", "security,encryption"]
    )
    search_mode: Literal["quick", "deep"] = Field(
        ...,
        title="Search Mode",
        description="Search mode: 'quick' searches metadata only, 'deep' searches metadata and document content"
    )
    case_sensitive: Optional[bool] = Field(
        False,
        title="Case Sensitive Search",
        description="Enable case-sensitive keyword matching"
    )
    source: Optional[Literal["3GPP", "ETSI", "all"]] = Field(
        "all",
        title="Document Source",
        description="Limit search to specific organization or search all repositories"
    )
    spec_type: Optional[Literal["TS", "TR"]] = Field(
        None,
        title="Specification Type",
        description="Filter by specification type: 'TS' (Technical Specification) or 'TR' (Technical Report)"
    )
    mode: Optional[Literal["and", "or"]] = Field(
        "and",
        title="Search Logic",
        description="Logical operator: 'and' requires all keywords to match, 'or' matches any keyword"
    )

class BM25KeywordRequest(BaseModel):
    """
    Request model for BM25 advanced search.
    
    Provides parameters for relevance-based search using BM25 scoring algorithm.
    """
    keywords: Optional[str] = Field(
        "", 
        title="Search Query",
        description="Natural language search query for BM25 processing",
        examples=["5G authentication procedures", "handover mobility management", "security key derivation"]
    )
    source: Optional[Literal["3GPP", "ETSI", "all"]] = Field(
        "all",
        title="Document Source",
        description="Limit search to specific organization repositories"
    )
    threshold: Optional[int] = Field(
        60,
        title="Relevance Threshold",
        description="Minimum normalized BM25 relevance score (0-100) for results inclusion",
        ge=0,
        le=100
    )
    spec_type: Optional[Literal["TS", "TR"]] = Field(
        None,
        title="Specification Type",
        description="Filter results by specification type"
    )

class KeywordResponse(BaseModel):
    """
    Response model for keyword and BM25 search results.
    
    Contains ranked search results with metadata and timing information.
    """
    results: List[Dict[str, Any]] = Field(
        ..., 
        title="Search Results",
        description="List of matching specifications with complete metadata. In deep search mode, includes 'contains' field with matching content sections."
    )
    search_time: float = Field(
        ..., 
        title="Search Duration", 
        description="Time spent processing the search request in seconds"
    )