"""Verdict and flag endpoints.

This module provides API endpoints for retrieving analysis results,
verdicts, and behavioral flags computed for sessions.
"""

from __future__ import annotations

from fastapi import APIRouter, HTTPException, Query
from pydantic import BaseModel, Field

router = APIRouter()


class FlagDetail(BaseModel):
    """Details of a triggered detection flag.

    Attributes
    ----------
    flag_id
        Unique identifier for the flag type.
    name
        Human-readable name of the flag.
    description
        Explanation of what the flag indicates.
    severity
        Severity level (low, medium, high).
    confidence
        Confidence score from 0 to 1.
    evidence
        Supporting evidence for the flag.
    """

    flag_id: str = Field(description="Flag type identifier")
    name: str = Field(description="Human-readable flag name")
    description: str = Field(description="Flag description")
    severity: str = Field(description="Severity level")
    confidence: float = Field(ge=0.0, le=1.0, description="Confidence score")
    evidence: dict[str, str | int | float | bool | None] = Field(
        default_factory=dict, description="Supporting evidence"
    )


class CommonFlagInfo(BaseModel):
    """Summary of a commonly triggered flag.

    Attributes
    ----------
    flag_id
        Unique identifier for the flag type.
    name
        Human-readable name of the flag.
    count
        Number of sessions triggering this flag.
    """

    flag_id: str = Field(description="Flag type identifier")
    name: str = Field(description="Human-readable flag name")
    count: int = Field(ge=0, description="Trigger count")


class AnalysisSummary(BaseModel):
    """Summary of analysis across all sessions.

    Attributes
    ----------
    total_sessions
        Total number of sessions in the dataset.
    analyzed_sessions
        Number of sessions with completed analysis.
    flagged_sessions
        Number of sessions with at least one flag.
    verdict_distribution
        Count of sessions by verdict type.
    common_flags
        Most frequently triggered flags.
    """

    total_sessions: int = Field(ge=0, description="Total sessions")
    analyzed_sessions: int = Field(ge=0, description="Analyzed sessions")
    flagged_sessions: int = Field(ge=0, description="Flagged sessions")
    verdict_distribution: dict[str, int] = Field(
        default_factory=dict, description="Counts by verdict"
    )
    common_flags: list[CommonFlagInfo] = Field(
        default_factory=list[CommonFlagInfo], description="Common flags with counts"
    )


class VerdictDetail(BaseModel):
    """Detailed verdict for a session.

    Attributes
    ----------
    session_id
        Unique identifier for the session.
    verdict
        Overall verdict (human, ai_assisted, uncertain).
    confidence
        Overall confidence score from 0 to 1.
    flags
        List of triggered detection flags.
    analyzed_at
        ISO 8601 timestamp of analysis completion.
    analyzer_version
        Version of the analyzer used.
    """

    session_id: str = Field(description="Session identifier")
    verdict: str = Field(description="Analysis verdict")
    confidence: float = Field(ge=0.0, le=1.0, description="Confidence score")
    flags: list[FlagDetail] = Field(default_factory=list[FlagDetail], description="Triggered flags")
    analyzed_at: str = Field(description="Analysis timestamp")
    analyzer_version: str = Field(description="Analyzer version")


class VerdictListItem(BaseModel):
    """Summary of a verdict for list views.

    Attributes
    ----------
    session_id
        Unique identifier for the session.
    verdict
        Overall verdict (human, ai_assisted, uncertain).
    confidence
        Overall confidence score from 0 to 1.
    flag_count
        Number of triggered flags.
    analyzed_at
        ISO 8601 timestamp of analysis completion.
    """

    session_id: str = Field(description="Session identifier")
    verdict: str = Field(description="Analysis verdict")
    confidence: float = Field(ge=0.0, le=1.0, description="Confidence score")
    flag_count: int = Field(ge=0, description="Number of flags")
    analyzed_at: str = Field(description="Analysis timestamp")


class VerdictListResponse(BaseModel):
    """Paginated response for verdict list endpoint.

    Attributes
    ----------
    verdicts
        List of verdict summaries for the current page.
    total
        Total number of verdicts matching the query.
    page
        Current page number (1-indexed).
    page_size
        Number of verdicts per page.
    """

    verdicts: list[VerdictListItem] = Field(description="Verdict summaries")
    total: int = Field(ge=0, description="Total matching verdicts")
    page: int = Field(ge=1, description="Current page number")
    page_size: int = Field(ge=1, description="Verdicts per page")


class BatchAnalysisRequest(BaseModel):
    """Request for batch analysis.

    Attributes
    ----------
    session_ids
        List of session identifiers to analyze.
    force_reanalyze
        Whether to reanalyze sessions with existing verdicts.
    """

    session_ids: list[str] = Field(description="Sessions to analyze")
    force_reanalyze: bool = Field(default=False, description="Force reanalysis")


class BatchAnalysisResponse(BaseModel):
    """Response for batch analysis request.

    Attributes
    ----------
    task_id
        Identifier for the background analysis task.
    queued_count
        Number of sessions queued for analysis.
    skipped_count
        Number of sessions skipped (already analyzed).
    """

    task_id: str = Field(description="Background task identifier")
    queued_count: int = Field(ge=0, description="Queued session count")
    skipped_count: int = Field(ge=0, description="Skipped session count")


@router.get("/summary", response_model=AnalysisSummary)
async def get_analysis_summary() -> AnalysisSummary:
    """Get analysis summary statistics.

    Returns aggregate statistics about the analysis state, including
    total sessions, verdict distribution, and common flags.

    Returns
    -------
    AnalysisSummary
        Summary statistics for all sessions.
    """
    # TODO: Implement with storage and analysis services
    return AnalysisSummary(
        total_sessions=0,
        analyzed_sessions=0,
        flagged_sessions=0,
        verdict_distribution={},
        common_flags=[],
    )


@router.get("/flags", response_model=list[FlagDetail])
async def list_flag_types() -> list[FlagDetail]:
    """List available flag types.

    Returns descriptions of all detection flag types that can be
    triggered by the analyzer.

    Returns
    -------
    list[FlagDetail]
        List of flag type definitions.
    """
    # TODO: Implement with analyzer registry
    return []


@router.get("/verdicts", response_model=VerdictListResponse)
async def list_verdicts(
    page: int = Query(default=1, ge=1, description="Page number"),
    page_size: int = Query(default=20, ge=1, le=100, description="Verdicts per page"),
    verdict: str | None = Query(default=None, description="Filter by verdict type"),
    min_confidence: float | None = Query(
        default=None, ge=0, le=1, description="Minimum confidence"
    ),
) -> VerdictListResponse:
    """List verdicts with pagination.

    Returns a paginated list of analysis verdicts. Use verdict type
    or confidence filters to narrow results.

    Parameters
    ----------
    page
        Page number to retrieve (1-indexed).
    page_size
        Number of verdicts per page (max 100).
    verdict
        Filter by verdict type (human, ai_assisted, uncertain).
    min_confidence
        Filter by minimum confidence score.

    Returns
    -------
    VerdictListResponse
        Paginated list of verdict summaries.
    """
    # TODO: Implement with storage service
    _ = (verdict, min_confidence)  # Suppress unused variable warning
    return VerdictListResponse(verdicts=[], total=0, page=page, page_size=page_size)


@router.get("/verdicts/{session_id}", response_model=VerdictDetail)
async def get_verdict(session_id: str) -> VerdictDetail:
    """Get verdict details for a session.

    Retrieves the full verdict including all triggered flags and
    supporting evidence.

    Parameters
    ----------
    session_id
        Unique identifier of the session.

    Returns
    -------
    VerdictDetail
        Full verdict with flags and evidence.

    Raises
    ------
    HTTPException
        404 if session or verdict not found.
    """
    # TODO: Implement with storage and analysis services
    raise HTTPException(status_code=404, detail=f"Verdict not found for session: {session_id}")


@router.post("/batch", response_model=BatchAnalysisResponse)
async def start_batch_analysis(request: BatchAnalysisRequest) -> BatchAnalysisResponse:
    """Start batch analysis of sessions.

    Queues multiple sessions for background analysis. Use force_reanalyze
    to recompute verdicts for sessions that have already been analyzed.

    Parameters
    ----------
    request
        Batch analysis request with session IDs.

    Returns
    -------
    BatchAnalysisResponse
        Status of the batch analysis task.
    """
    # TODO: Implement with background task queue
    _ = request  # Suppress unused variable warning
    return BatchAnalysisResponse(task_id="not-implemented", queued_count=0, skipped_count=0)


@router.get("/batch/{task_id}")
async def get_batch_status(task_id: str) -> dict[str, str | int]:
    """Get status of a batch analysis task.

    Retrieves the current status and progress of a background
    analysis task.

    Parameters
    ----------
    task_id
        Identifier of the batch analysis task.

    Returns
    -------
    dict[str, str | int]
        Task status with progress information.

    Raises
    ------
    HTTPException
        404 if task not found.
    """
    # TODO: Implement with background task queue
    raise HTTPException(status_code=404, detail=f"Task not found: {task_id}")
