#!/usr/bin/env python3
"""
Testing API Router

Provides endpoints for:
- Custom jailbreak prompts upload
- Listing available prompt sources
- Test configuration management
"""

import os
import io
import json
from typing import List, Optional
from fastapi import APIRouter, UploadFile, File, HTTPException, Query
from pydantic import BaseModel, Field

router = APIRouter(prefix="/api/testing", tags=["testing"])

# Directory for custom prompts
CUSTOM_PROMPTS_DIR = os.path.join(
    os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
    "datasets", "custom_jailbreak_prompts"
)


class PromptSource(BaseModel):
    """Information about a prompt source."""
    name: str
    description: str
    count: int
    source_type: str  # 'builtin' or 'custom'
    categories: Optional[List[str]] = None


class UploadResponse(BaseModel):
    """Response for prompt upload."""
    status: str
    name: str
    prompt_count: int
    path: str
    categories: Optional[List[str]] = None


class TestPreset(BaseModel):
    """Test preset configuration."""
    name: str
    description: str
    max_relations: Optional[int] = None
    jailbreak_techniques: int = 10
    demographics_count: int = 4
    comparison_mode: str = "both"


# Available presets
PRESETS = {
    "quick": TestPreset(
        name="quick",
        description="Fast testing with minimal coverage",
        max_relations=3,
        jailbreak_techniques=3,
        demographics_count=2,
        comparison_mode="vs_baseline"
    ),
    "standard": TestPreset(
        name="standard",
        description="Balanced testing with good coverage",
        max_relations=10,
        jailbreak_techniques=10,
        demographics_count=4,
        comparison_mode="both"
    ),
    "comprehensive": TestPreset(
        name="comprehensive",
        description="Thorough testing with full coverage",
        max_relations=None,
        jailbreak_techniques=20,
        demographics_count=8,
        comparison_mode="both"
    )
}


def get_builtin_prompts_info() -> PromptSource:
    """Get information about the built-in jailbreak prompts dataset."""
    try:
        dataset_path = os.path.join(
            os.path.dirname(os.path.dirname(os.path.dirname(__file__))),
            "datasets", "redTeaming_jailbreaking_standard.csv"
        )

        if os.path.exists(dataset_path):
            import pandas as pd
            df = pd.read_csv(dataset_path)
            count = len(df)

            # Get unique categories/topics if available
            categories = None
            if 'topic' in df.columns:
                categories = df['topic'].dropna().unique().tolist()[:20]

            return PromptSource(
                name="standard",
                description="Built-in jailbreak dataset",
                count=count,
                source_type="builtin",
                categories=categories
            )
        else:
            return PromptSource(
                name="standard",
                description="Built-in jailbreak dataset (file not found)",
                count=0,
                source_type="builtin"
            )
    except Exception as e:
        return PromptSource(
            name="standard",
            description=f"Built-in jailbreak dataset (error: {str(e)})",
            count=0,
            source_type="builtin"
        )


def get_custom_prompts_info() -> List[PromptSource]:
    """Get information about custom uploaded prompts."""
    sources = []

    if not os.path.exists(CUSTOM_PROMPTS_DIR):
        return sources

    for filename in os.listdir(CUSTOM_PROMPTS_DIR):
        if filename.endswith('.json'):
            try:
                filepath = os.path.join(CUSTOM_PROMPTS_DIR, filename)
                with open(filepath, 'r') as f:
                    prompts = json.load(f)

                name = filename.replace('.json', '')
                sources.append(PromptSource(
                    name=name,
                    description=f"Custom uploaded prompts",
                    count=len(prompts) if isinstance(prompts, list) else 0,
                    source_type="custom"
                ))
            except Exception as e:
                continue

    return sources


@router.post("/jailbreak-prompts/upload", response_model=UploadResponse)
async def upload_custom_jailbreak_prompts(
    file: UploadFile = File(...),
    name: str = Query(default="custom", description="Name for this prompt set")
):
    """
    Upload custom jailbreak prompts.

    Supports CSV or JSON formats:
    - CSV: Must have 'prompt' column. Optional: 'name', 'description', 'topic'
    - JSON: Array of objects with at least 'prompt' field
    """
    # Validate filename
    if not file.filename:
        raise HTTPException(400, "No filename provided")

    filename_lower = file.filename.lower()
    if not (filename_lower.endswith('.csv') or filename_lower.endswith('.json')):
        raise HTTPException(400, "Only CSV or JSON files are supported")

    # Create directory if needed
    os.makedirs(CUSTOM_PROMPTS_DIR, exist_ok=True)

    try:
        content = await file.read()

        if filename_lower.endswith('.csv'):
            import pandas as pd
            df = pd.read_csv(io.BytesIO(content))

            if 'prompt' not in df.columns:
                raise HTTPException(400, "CSV must have a 'prompt' column")

            prompts = df.to_dict('records')
        else:
            prompts = json.loads(content)

            if not isinstance(prompts, list):
                raise HTTPException(400, "JSON must be an array of prompt objects")

            # Validate prompts have 'prompt' field
            for i, p in enumerate(prompts):
                if 'prompt' not in p:
                    raise HTTPException(400, f"Prompt at index {i} missing 'prompt' field")

        # Save to JSON file
        output_path = os.path.join(CUSTOM_PROMPTS_DIR, f"{name}.json")
        with open(output_path, 'w') as f:
            json.dump(prompts, f, indent=2)

        # Get categories if available
        categories = None
        if prompts and 'topic' in prompts[0]:
            categories = list(set(p.get('topic', '') for p in prompts if p.get('topic')))[:20]

        return UploadResponse(
            status="success",
            name=name,
            prompt_count=len(prompts),
            path=output_path,
            categories=categories
        )

    except HTTPException:
        raise
    except Exception as e:
        raise HTTPException(500, f"Error processing file: {str(e)}")


@router.get("/jailbreak-prompts/list")
async def list_jailbreak_prompt_sources() -> dict:
    """
    List all available jailbreak prompt sources.

    Returns both built-in and custom uploaded prompt sets.
    """
    sources = []

    # Add built-in
    builtin = get_builtin_prompts_info()
    sources.append(builtin.model_dump())

    # Add custom
    custom_sources = get_custom_prompts_info()
    for source in custom_sources:
        sources.append(source.model_dump())

    return {"sources": sources}


@router.delete("/jailbreak-prompts/{name}")
async def delete_custom_prompts(name: str):
    """
    Delete a custom prompt set.

    Cannot delete the built-in 'standard' dataset.
    """
    if name == "standard":
        raise HTTPException(400, "Cannot delete built-in dataset")

    filepath = os.path.join(CUSTOM_PROMPTS_DIR, f"{name}.json")

    if not os.path.exists(filepath):
        raise HTTPException(404, f"Prompt set '{name}' not found")

    try:
        os.remove(filepath)
        return {"status": "success", "message": f"Deleted prompt set '{name}'"}
    except Exception as e:
        raise HTTPException(500, f"Error deleting file: {str(e)}")


@router.get("/presets")
async def list_test_presets() -> dict:
    """
    List available test configuration presets.
    """
    return {
        "presets": [preset.model_dump() for preset in PRESETS.values()]
    }


@router.get("/presets/{preset_name}")
async def get_test_preset(preset_name: str) -> dict:
    """
    Get a specific test preset configuration.
    """
    if preset_name not in PRESETS:
        raise HTTPException(404, f"Preset '{preset_name}' not found")

    return PRESETS[preset_name].model_dump()


@router.get("/demographics")
async def list_available_demographics() -> dict:
    """
    List available demographic options for counterfactual bias testing.
    """
    return {
        "demographics": {
            "gender": ["male", "female", "non-binary"],
            "race": ["White", "Black", "Asian", "Hispanic", "Middle Eastern", "Indigenous"],
            "presets": {
                "minimal": [
                    {"gender": "male", "race": "White"},
                    {"gender": "female", "race": "Black"}
                ],
                "standard": [
                    {"gender": "male", "race": "White"},
                    {"gender": "female", "race": "White"},
                    {"gender": "male", "race": "Black"},
                    {"gender": "female", "race": "Black"}
                ],
                "comprehensive": [
                    {"gender": "male", "race": "White"},
                    {"gender": "female", "race": "White"},
                    {"gender": "male", "race": "Black"},
                    {"gender": "female", "race": "Black"},
                    {"gender": "male", "race": "Asian"},
                    {"gender": "female", "race": "Asian"},
                    {"gender": "male", "race": "Hispanic"},
                    {"gender": "female", "race": "Hispanic"},
                    {"gender": "non-binary", "race": "White"}
                ]
            }
        },
        "extended_dimensions": {
            "age": ["young (20s)", "middle-aged (40s)", "elderly (70s)"],
            "disability": ["with no disability", "with a physical disability", "with a visual impairment"],
            "socioeconomic": ["from a wealthy background", "from a middle-class background", "from a low-income background"]
        },
        "comparison_modes": ["vs_baseline", "all_pairs", "both"]
    }