"""
tools/image_gen_tool.py — AI image generation tool.

Calls an image-generation model (via OpenRouter by default) and returns the
result.  If save_path is given the image is written to disk immediately so the
model doesn't need to handle large base64 blobs.
"""
from __future__ import annotations

import base64
import logging

from .base import BaseTool, ToolResult

logger = logging.getLogger(__name__)

# Default model — override per call or via credential system:default_image_gen_model
_DEFAULT_MODEL = "openrouter:openai/gpt-5-image"


class ImageGenTool(BaseTool):
    name = "image_gen"
    description = (
        "Generate an image from a text prompt using an AI image-generation model. "
        "If save_path is provided the image is saved to that path and only the path "
        "is returned (no base64 blob in context). "
        "If save_path is omitted the raw base64 image data is returned so you can "
        "inspect it or pass it to another tool."
    )
    input_schema = {
        "type": "object",
        "properties": {
            "prompt": {
                "type": "string",
                "description": "Detailed description of the image to generate",
            },
            "save_path": {
                "type": "string",
                "description": (
                    "Optional absolute file path to save the image to "
                    "(e.g. /data/users/rune/stewie.png). "
                    "Recommended — avoids returning a large base64 blob."
                ),
            },
            "model": {
                "type": "string",
                "description": (
                    "Optional image-generation model ID "
                    "(e.g. openrouter:openai/gpt-5-image, "
                    "openrouter:google/gemini-2.0-flash-exp:free). "
                    "Defaults to the system default image model."
                ),
            },
        },
        "required": ["prompt"],
    }
    requires_confirmation = False
    allowed_in_scheduled_tasks = True

    async def execute(
        self,
        prompt: str,
        save_path: str = "",
        model: str = "",
        **kwargs,
    ) -> ToolResult:
        # Resolve model: tool arg → credential override → hardcoded default
        if not model:
            from ..database import credential_store
            model = (await credential_store.get("system:default_image_gen_model")) or _DEFAULT_MODEL

        # Resolve provider + bare model id
        from ..context_vars import current_user as _cu
        user_id = _cu.get().id if _cu.get() else None
        try:
            from ..providers.registry import get_provider_for_model
            provider, bare_model = await get_provider_for_model(model, user_id=user_id)
        except Exception as e:
            return ToolResult(success=False, error=f"Could not resolve image model '{model}': {e}")

        # Call the model with a simple user message containing the prompt
        try:
            response = await provider.chat_async(
                messages=[{"role": "user", "content": prompt}],
                tools=None,
                system="",
                model=bare_model,
                max_tokens=1024,
            )
        except Exception as e:
            logger.error("[image_gen] Provider call failed: %s", e)
            return ToolResult(success=False, error=f"Image generation failed: {e}")

        if not response.images:
            msg = response.text or "(no images returned)"
            logger.warning("[image_gen] No images in response. text=%r", msg)
            return ToolResult(
                success=False,
                error=f"Model did not return any images. Response: {msg[:300]}",
            )

        # Use the first image (most models return exactly one)
        data_url = response.images[0]

        # Parse the data URL: data:<media_type>;base64,<data>
        media_type = "image/png"
        img_b64 = data_url
        if data_url.startswith("data:"):
            try:
                header, img_b64 = data_url.split(",", 1)
                media_type = header.split(":")[1].split(";")[0]
            except Exception:
                pass

        img_bytes = base64.b64decode(img_b64)

        # Save to path if requested
        if save_path:
            from pathlib import Path
            from ..security import assert_path_allowed, SecurityError
            try:
                safe_path = await assert_path_allowed(save_path)
            except SecurityError as e:
                return ToolResult(success=False, error=str(e))
            try:
                safe_path.parent.mkdir(parents=True, exist_ok=True)
                safe_path.write_bytes(img_bytes)
            except PermissionError:
                return ToolResult(success=False, error=f"Permission denied: {safe_path}")
            except Exception as e:
                return ToolResult(success=False, error=f"Save failed: {e}")

            logger.info("[image_gen] Saved image to %s (%d bytes)", safe_path, len(img_bytes))
            return ToolResult(
                success=True,
                data={
                    "saved_to": str(safe_path),
                    "size_bytes": len(img_bytes),
                    "media_type": media_type,
                    "model": f"{model}/{bare_model}".strip("/"),
                    "prompt": prompt,
                },
            )

        # Return base64 data (no save_path given)
        logger.info("[image_gen] Returning image data (%d bytes, %s)", len(img_bytes), media_type)
        return ToolResult(
            success=True,
            data={
                "is_image": True,
                "image_data": img_b64,
                "media_type": media_type,
                "size_bytes": len(img_bytes),
                "model": f"{model}/{bare_model}".strip("/"),
                "prompt": prompt,
            },
        )