"""
Recipe management routes for L1 server.

Handles recipe upload, listing, viewing, and execution.
"""

import json
import logging
from typing import Any, Dict, List, Optional, Tuple

from fastapi import APIRouter, Request, Depends, HTTPException, UploadFile, File
from fastapi.responses import HTMLResponse
from pydantic import BaseModel

from artdag_common import render
from artdag_common.middleware import wants_html, wants_json
from artdag_common.middleware.auth import UserContext

from ..dependencies import require_auth, get_templates, get_redis_client, get_cache_manager
from ..services.auth_service import AuthService
from ..services.recipe_service import RecipeService
from ..types import (
    CompiledNode, TransformedNode, Registry, Recipe,
    is_variable_input, get_effect_cid,
)

router = APIRouter()
logger = logging.getLogger(__name__)


class RecipeUploadRequest(BaseModel):
    content: str  # S-expression or YAML
    name: Optional[str] = None
    description: Optional[str] = None


class RecipeRunRequest(BaseModel):
    """Request to run a recipe with variable inputs."""
    inputs: Dict[str, str] = {}  # Map input names to CIDs


def get_recipe_service() -> RecipeService:
    """Get recipe service instance."""
    return RecipeService(get_redis_client(), get_cache_manager())


def transform_node(
    node: CompiledNode,
    assets: Dict[str, Dict[str, Any]],
    effects: Dict[str, Dict[str, Any]],
) -> TransformedNode:
    """
    Transform a compiled node to artdag execution format.

    - Resolves asset references to CIDs for SOURCE nodes
    - Resolves effect references to CIDs for EFFECT nodes
    - Renames 'type' to 'node_type', 'id' to 'node_id'
    """
    node_id = node.get("id", "")
    config = dict(node.get("config", {}))  # Copy to avoid mutation

    # Resolve asset references for SOURCE nodes
    if node.get("type") == "SOURCE" and "asset" in config:
        asset_name = config["asset"]
        if asset_name in assets:
            config["cid"] = assets[asset_name].get("cid")

    # Resolve effect references for EFFECT nodes
    if node.get("type") == "EFFECT" and "effect" in config:
        effect_name = config["effect"]
        if effect_name in effects:
            config["cid"] = effects[effect_name].get("cid")

    return {
        "node_id": node_id,
        "node_type": node.get("type", "EFFECT"),
        "config": config,
        "inputs": node.get("inputs", []),
        "name": node.get("name"),
    }


def build_input_name_mapping(
    nodes: Dict[str, TransformedNode],
) -> Dict[str, str]:
    """
    Build a mapping from input names to node IDs for variable inputs.

    Variable inputs can be referenced by:
    - node_id directly
    - config.name (e.g., "Second Video")
    - snake_case version (e.g., "second_video")
    - kebab-case version (e.g., "second-video")
    - node.name (def binding name)
    """
    input_name_to_node: Dict[str, str] = {}

    for node_id, node in nodes.items():
        if node.get("node_type") != "SOURCE":
            continue

        config = node.get("config", {})
        if not is_variable_input(config):
            continue

        # Map by node_id
        input_name_to_node[node_id] = node_id

        # Map by config.name
        name = config.get("name")
        if name:
            input_name_to_node[name] = node_id
            input_name_to_node[name.lower().replace(" ", "_")] = node_id
            input_name_to_node[name.lower().replace(" ", "-")] = node_id

        # Map by node.name (def binding)
        node_name = node.get("name")
        if node_name:
            input_name_to_node[node_name] = node_id
            input_name_to_node[node_name.replace("-", "_")] = node_id

    return input_name_to_node


def bind_inputs(
    nodes: Dict[str, TransformedNode],
    input_name_to_node: Dict[str, str],
    user_inputs: Dict[str, str],
) -> List[str]:
    """
    Bind user-provided input CIDs to source nodes.

    Returns list of warnings for inputs that couldn't be bound.
    """
    warnings: List[str] = []

    for input_name, cid in user_inputs.items():
        # Try direct node ID match first
        if input_name in nodes:
            node = nodes[input_name]
            if node.get("node_type") == "SOURCE":
                node["config"]["cid"] = cid
                logger.info(f"Bound input {input_name} directly to node, cid={cid[:16]}...")
                continue

        # Try input name lookup
        if input_name in input_name_to_node:
            node_id = input_name_to_node[input_name]
            node = nodes[node_id]
            node["config"]["cid"] = cid
            logger.info(f"Bound input {input_name} via lookup to node {node_id}, cid={cid[:16]}...")
            continue

        # Input not found
        warnings.append(f"Input '{input_name}' not found in recipe")
        logger.warning(f"Input {input_name} not found in nodes or input_name_to_node")

    return warnings


def prepare_dag_for_execution(
    recipe: Recipe,
    user_inputs: Dict[str, str],
) -> Tuple[str, List[str]]:
    """
    Prepare a recipe DAG for execution by transforming nodes and binding inputs.

    Returns (dag_json, warnings).
    """
    recipe_dag = recipe.get("dag")
    if not recipe_dag or not isinstance(recipe_dag, dict):
        raise ValueError("Recipe has no DAG definition")

    # Deep copy to avoid mutating original
    dag_copy = json.loads(json.dumps(recipe_dag))
    nodes = dag_copy.get("nodes", {})

    # Get registry for resolving references
    registry = recipe.get("registry", {})
    assets = registry.get("assets", {}) if registry else {}
    effects = registry.get("effects", {}) if registry else {}

    # Transform nodes from list to dict if needed
    if isinstance(nodes, list):
        nodes_dict: Dict[str, TransformedNode] = {}
        for node in nodes:
            node_id = node.get("id")
            if node_id:
                nodes_dict[node_id] = transform_node(node, assets, effects)
        nodes = nodes_dict
        dag_copy["nodes"] = nodes

    # Build input name mapping and bind user inputs
    input_name_to_node = build_input_name_mapping(nodes)
    logger.info(f"Input name to node mapping: {input_name_to_node}")
    logger.info(f"User-provided inputs: {user_inputs}")

    warnings = bind_inputs(nodes, input_name_to_node, user_inputs)

    # Log final SOURCE node configs for debugging
    for nid, n in nodes.items():
        if n.get("node_type") == "SOURCE":
            logger.info(f"Final SOURCE node {nid}: config={n.get('config')}")

    # Transform output to output_id
    if "output" in dag_copy:
        dag_copy["output_id"] = dag_copy.pop("output")

    # Add metadata if not present
    if "metadata" not in dag_copy:
        dag_copy["metadata"] = {}

    return json.dumps(dag_copy), warnings


@router.post("/upload")
async def upload_recipe(
    file: UploadFile = File(...),
    ctx: UserContext = Depends(require_auth),
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """Upload a new recipe from S-expression or YAML file."""
    import yaml

    # Read content from the uploaded file
    content = (await file.read()).decode("utf-8")

    # Detect format (skip comments starting with ;)
    def is_sexp_format(text):
        for line in text.split('\n'):
            stripped = line.strip()
            if not stripped or stripped.startswith(';'):
                continue
            return stripped.startswith('(')
        return False

    is_sexp = is_sexp_format(content)

    try:
        from artdag.sexp import compile_string, ParseError, CompileError
        SEXP_AVAILABLE = True
    except ImportError:
        SEXP_AVAILABLE = False

    recipe_name = None
    recipe_version = "1.0"
    recipe_description = None
    variable_inputs = []
    fixed_inputs = []

    if is_sexp:
        if not SEXP_AVAILABLE:
            raise HTTPException(500, "S-expression recipes require artdag.sexp module (not installed on server)")
        # Parse S-expression
        try:
            compiled = compile_string(content)
            recipe_name = compiled.name
            recipe_version = compiled.version
            recipe_description = compiled.description

            for node in compiled.nodes:
                if node.get("type") == "SOURCE":
                    config = node.get("config", {})
                    if config.get("input"):
                        variable_inputs.append(config.get("name", node.get("id")))
                    elif config.get("asset"):
                        fixed_inputs.append(config.get("asset"))
        except Exception as e:
            raise HTTPException(400, f"Parse error: {e}")
    else:
        # Parse YAML
        try:
            recipe_data = yaml.safe_load(content)
            recipe_name = recipe_data.get("name")
            recipe_version = recipe_data.get("version", "1.0")
            recipe_description = recipe_data.get("description")

            inputs = recipe_data.get("inputs", {})
            for input_name, input_def in inputs.items():
                if isinstance(input_def, dict) and input_def.get("fixed"):
                    fixed_inputs.append(input_name)
                else:
                    variable_inputs.append(input_name)
        except yaml.YAMLError as e:
            raise HTTPException(400, f"Invalid YAML: {e}")

    # Use filename as recipe name if not specified
    if not recipe_name and file.filename:
        recipe_name = file.filename.rsplit(".", 1)[0]

    recipe_id, error = await recipe_service.upload_recipe(
        content=content,
        uploader=ctx.actor_id,
        name=recipe_name,
        description=recipe_description,
    )

    if error:
        raise HTTPException(400, error)

    return {
        "recipe_id": recipe_id,
        "name": recipe_name or "unnamed",
        "version": recipe_version,
        "variable_inputs": variable_inputs,
        "fixed_inputs": fixed_inputs,
        "message": "Recipe uploaded successfully",
    }


@router.get("")
async def list_recipes(
    request: Request,
    offset: int = 0,
    limit: int = 20,
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """List available recipes."""
    auth_service = AuthService(get_redis_client())
    ctx = auth_service.get_user_from_cookie(request)

    if not ctx:
        if wants_json(request):
            raise HTTPException(401, "Authentication required")
        from fastapi.responses import RedirectResponse
        return RedirectResponse(url="/auth", status_code=302)

    recipes = await recipe_service.list_recipes(ctx.actor_id, offset=offset, limit=limit)

    if wants_json(request):
        return {"recipes": recipes, "offset": offset, "limit": limit}

    templates = get_templates(request)
    return render(templates, "recipes/list.html", request,
        recipes=recipes,
        user=ctx,
        active_tab="recipes",
    )


@router.get("/{recipe_id}")
async def get_recipe(
    recipe_id: str,
    request: Request,
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """Get recipe details."""
    auth_service = AuthService(get_redis_client())
    ctx = auth_service.get_user_from_cookie(request)

    if not ctx:
        if wants_json(request):
            raise HTTPException(401, "Authentication required")
        from fastapi.responses import RedirectResponse
        return RedirectResponse(url="/auth", status_code=302)

    recipe = await recipe_service.get_recipe(recipe_id)
    if not recipe:
        raise HTTPException(404, "Recipe not found")

    if wants_json(request):
        return recipe

    # Build DAG elements for visualization and convert nodes to steps format
    dag_elements = []
    steps = []
    node_colors = {
        "SOURCE": "#3b82f6",
        "EFFECT": "#8b5cf6",
        "SEQUENCE": "#ec4899",
        "transform": "#10b981",
        "output": "#f59e0b",
    }

    # Debug: log recipe structure
    logger.info(f"Recipe keys: {list(recipe.keys())}")

    # Get nodes from dag - can be list or dict, can be under "dag" or directly on recipe
    dag = recipe.get("dag", {})
    logger.info(f"DAG type: {type(dag)}, keys: {list(dag.keys()) if isinstance(dag, dict) else 'not dict'}")
    nodes = dag.get("nodes", []) if isinstance(dag, dict) else []
    logger.info(f"Nodes from dag.nodes: {type(nodes)}, len: {len(nodes) if hasattr(nodes, '__len__') else 'N/A'}")

    # Also check for nodes directly on recipe (alternative formats)
    if not nodes:
        nodes = recipe.get("nodes", [])
        logger.info(f"Nodes from recipe.nodes: {type(nodes)}, len: {len(nodes) if hasattr(nodes, '__len__') else 'N/A'}")
    if not nodes:
        nodes = recipe.get("pipeline", [])
        logger.info(f"Nodes from recipe.pipeline: {type(nodes)}, len: {len(nodes) if hasattr(nodes, '__len__') else 'N/A'}")
    if not nodes:
        nodes = recipe.get("steps", [])
        logger.info(f"Nodes from recipe.steps: {type(nodes)}, len: {len(nodes) if hasattr(nodes, '__len__') else 'N/A'}")

    logger.info(f"Final nodes count: {len(nodes) if hasattr(nodes, '__len__') else 'N/A'}")

    # Convert list of nodes to steps format
    if isinstance(nodes, list):
        for node in nodes:
            node_id = node.get("id", "")
            node_type = node.get("type", "EFFECT")
            inputs = node.get("inputs", [])
            config = node.get("config", {})

            steps.append({
                "id": node_id,
                "name": node_id,
                "type": node_type,
                "inputs": inputs,
                "params": config,
            })

            dag_elements.append({
                "data": {
                    "id": node_id,
                    "label": node_id,
                    "color": node_colors.get(node_type, "#6b7280"),
                }
            })
            for inp in inputs:
                if isinstance(inp, str):
                    dag_elements.append({
                        "data": {"source": inp, "target": node_id}
                    })
    elif isinstance(nodes, dict):
        for node_id, node in nodes.items():
            node_type = node.get("type", "EFFECT")
            inputs = node.get("inputs", [])
            config = node.get("config", {})

            steps.append({
                "id": node_id,
                "name": node_id,
                "type": node_type,
                "inputs": inputs,
                "params": config,
            })

            dag_elements.append({
                "data": {
                    "id": node_id,
                    "label": node_id,
                    "color": node_colors.get(node_type, "#6b7280"),
                }
            })
            for inp in inputs:
                if isinstance(inp, str):
                    dag_elements.append({
                        "data": {"source": inp, "target": node_id}
                    })

    # Add steps to recipe for template
    recipe["steps"] = steps

    # Use S-expression source if available
    if "sexp" not in recipe:
        recipe["sexp"] = "; No S-expression source available"

    templates = get_templates(request)
    return render(templates, "recipes/detail.html", request,
        recipe=recipe,
        dag_elements=dag_elements,
        user=ctx,
        active_tab="recipes",
    )


@router.delete("/{recipe_id}")
async def delete_recipe(
    recipe_id: str,
    ctx: UserContext = Depends(require_auth),
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """Delete a recipe."""
    success, error = await recipe_service.delete_recipe(recipe_id, ctx.actor_id)
    if error:
        raise HTTPException(400 if "Cannot" in error else 404, error)
    return {"deleted": True, "recipe_id": recipe_id}


@router.post("/{recipe_id}/run")
async def run_recipe(
    recipe_id: str,
    req: RecipeRunRequest,
    ctx: UserContext = Depends(require_auth),
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """Run a recipe with given inputs."""
    from ..services.run_service import RunService
    from ..dependencies import get_cache_manager
    import database

    recipe = await recipe_service.get_recipe(recipe_id)
    if not recipe:
        raise HTTPException(404, "Recipe not found")

    try:
        # Create run using run service
        run_service = RunService(database, get_redis_client(), get_cache_manager())

        # Prepare DAG for execution (transform nodes, bind inputs)
        dag_json = None
        if recipe.get("dag"):
            dag_json, warnings = prepare_dag_for_execution(recipe, req.inputs)
            for warning in warnings:
                logger.warning(warning)

        run, error = await run_service.create_run(
            recipe=recipe_id,  # Use recipe hash as primary identifier
            inputs=req.inputs,
            use_dag=True,
            dag_json=dag_json,
            actor_id=ctx.actor_id,
            l2_server=ctx.l2_server,
            recipe_name=recipe.get("name"),  # Store name for display
        )

        if error:
            raise HTTPException(400, error)

        if not run:
            raise HTTPException(500, "Run creation returned no result")

        return {
            "run_id": run["run_id"] if isinstance(run, dict) else run.run_id,
            "status": run.get("status", "pending") if isinstance(run, dict) else run.status,
            "message": "Recipe execution started",
        }
    except HTTPException:
        raise
    except Exception as e:
        logger.exception(f"Error running recipe {recipe_id}")
        raise HTTPException(500, f"Run failed: {e}")


@router.get("/{recipe_id}/dag")
async def recipe_dag(
    recipe_id: str,
    request: Request,
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """Get recipe DAG visualization data."""
    recipe = await recipe_service.get_recipe(recipe_id)
    if not recipe:
        raise HTTPException(404, "Recipe not found")

    dag_elements = []
    node_colors = {
        "input": "#3b82f6",
        "effect": "#8b5cf6",
        "analyze": "#ec4899",
        "transform": "#10b981",
        "output": "#f59e0b",
    }

    for i, step in enumerate(recipe.get("steps", [])):
        step_id = step.get("id", f"step-{i}")
        dag_elements.append({
            "data": {
                "id": step_id,
                "label": step.get("name", f"Step {i+1}"),
                "color": node_colors.get(step.get("type", "effect"), "#6b7280"),
            }
        })
        for inp in step.get("inputs", []):
            dag_elements.append({
                "data": {"source": inp, "target": step_id}
            })

    return {"elements": dag_elements}


@router.delete("/{recipe_id}/ui", response_class=HTMLResponse)
async def ui_discard_recipe(
    recipe_id: str,
    request: Request,
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """HTMX handler: discard a recipe."""
    auth_service = AuthService(get_redis_client())
    ctx = auth_service.get_user_from_cookie(request)

    if not ctx:
        return HTMLResponse('<div class="text-red-400">Login required</div>', status_code=401)

    success, error = await recipe_service.delete_recipe(recipe_id, ctx.actor_id)

    if error:
        return HTMLResponse(f'<div class="text-red-400">{error}</div>')

    return HTMLResponse(
        '<div class="text-green-400">Recipe deleted</div>'
        '<script>setTimeout(() => window.location.href = "/recipes", 1500);</script>'
    )


@router.post("/{recipe_id}/publish")
async def publish_recipe(
    recipe_id: str,
    request: Request,
    ctx: UserContext = Depends(require_auth),
    recipe_service: RecipeService = Depends(get_recipe_service),
):
    """Publish recipe to L2 and IPFS."""
    from ..services.cache_service import CacheService
    from ..dependencies import get_cache_manager
    import database

    # Verify recipe exists
    recipe = await recipe_service.get_recipe(recipe_id)
    if not recipe:
        raise HTTPException(404, "Recipe not found")

    # Use cache service to publish (recipes are stored in cache)
    cache_service = CacheService(database, get_cache_manager())
    ipfs_cid, error = await cache_service.publish_to_l2(
        cid=recipe_id,
        actor_id=ctx.actor_id,
        l2_server=ctx.l2_server,
        auth_token=request.cookies.get("auth_token"),
    )

    if error:
        if wants_html(request):
            return HTMLResponse(f'<span class="text-red-400">{error}</span>')
        raise HTTPException(400, error)

    if wants_html(request):
        return HTMLResponse(f'<span class="text-green-400">Shared: {ipfs_cid[:16]}...</span>')

    return {"ipfs_cid": ipfs_cid, "published": True}