import json

from backend.ai.client import llm_client, render_prompt
from backend.ai.prompts import BUILD_WORKFLOW_PROMPT
from backend.models.schemas import BuildWorkflowRequest, WorkflowDefinition, WorkflowStep


def build_workflow_definition(request: BuildWorkflowRequest, owner: dict) -> dict:
    if llm_client.is_ready():
        prompt = render_prompt(
            BUILD_WORKFLOW_PROMPT,
            selected_option=json.dumps(request.selected_option, indent=2),
            task_name=request.task_name,
            owner_email=owner.get("email", "owner@example.com"),
            spreadsheet_id=owner.get("spreadsheet_id", ""),
            inventory_sheet=owner.get("spreadsheet_config", {}).get("inventory_sheet", "Inventory"),
            orders_sheet=owner.get("spreadsheet_config", {}).get("orders_sheet", "Orders"),
            item_column="item",
            stock_column="stock",
            uploaded_data_summary=json.dumps(owner.get("uploaded_data_summary", []), indent=2),
        )
        return llm_client.generate_json(prompt)

    trigger_type = "schedule" if "summary" in request.task_name.lower() else "email_received"
    steps: list[WorkflowStep] = []
    if trigger_type == "email_received":
        steps = [
            WorkflowStep(
                id="step_extract",
                action="ai_extract",
                params={
                    "input": "{{trigger.email.body}}",
                    "extract_fields": ["customer_name", "items", "pickup_date", "needs_clarification"],
                    "output_var": "order_data",
                },
                on_error="notify_owner",
            ),
            WorkflowStep(
                id="step_read_inventory",
                action="sheets_read",
                params={
                    "spreadsheet_id": "{{config.spreadsheet_id}}",
                    "sheet_name": "Inventory",
                    "output_var": "inventory_rows",
                },
                on_error="abort",
            ),
            WorkflowStep(
                id="step_check_stock",
                action="condition",
                params={
                    "check": "not {{step_extract.order_data.needs_clarification}}",
                    "if_true": "step_write_order",
                    "if_false": "step_notify_ambiguity",
                },
                on_error="abort",
            ),
            WorkflowStep(
                id="step_write_order",
                action="sheets_write",
                params={
                    "spreadsheet_id": "{{config.spreadsheet_id}}",
                    "sheet_name": "Orders",
                    "data": {
                        "customer": "{{step_extract.order_data.customer_name}}",
                        "items": "{{step_extract.order_data.items}}",
                        "priority": "high" if "restaurant" in request.task_name.lower() else "normal",
                    },
                },
                on_error="notify_owner",
            ),
            WorkflowStep(
                id="step_compose_reply",
                action="ai_compose",
                params={
                    "context": "{{step_extract.order_data}}",
                    "tone": owner.get("preferred_tone", "friendly"),
                    "output_var": "reply_body",
                },
                on_error="notify_owner",
            ),
            WorkflowStep(
                id="step_send_email",
                action="send_email",
                params={
                    "to": "{{trigger.email.from}}",
                    "subject": "Order confirmation",
                    "body": "{{step_compose_reply.reply_body}}",
                },
                on_error="notify_owner",
            ),
            WorkflowStep(
                id="step_notify_ambiguity",
                action="notify_owner",
                params={
                    "message": "This order needs clarification before FlowPilot can continue.",
                    "severity": "warning",
                    "options": ["Reply myself", "Ask customer for details"],
                },
                on_error="skip",
            ),
        ]
    else:
        steps = [
            WorkflowStep(
                id="step_collect_orders",
                action="sheets_read",
                params={
                    "spreadsheet_id": "{{config.spreadsheet_id}}",
                    "sheet_name": "Orders",
                    "output_var": "order_rows",
                },
                on_error="abort",
            ),
            WorkflowStep(
                id="step_compose_summary",
                action="ai_compose",
                params={
                    "context": "{{step_collect_orders.order_rows}}",
                    "tone": "helpful",
                    "output_var": "summary_body",
                },
                on_error="notify_owner",
            ),
            WorkflowStep(
                id="step_send_summary",
                action="send_email",
                params={
                    "to": owner.get("email", "owner@example.com"),
                    "subject": "Weekly order summary",
                    "body": "{{step_compose_summary.summary_body}}",
                },
                on_error="notify_owner",
            ),
        ]
    workflow = WorkflowDefinition(
        name=request.task_name,
        description=request.selected_option.get("name", request.task_description),
        trigger={"type": trigger_type, "config": {"cron": "0 8 * * FRI"} if trigger_type == "schedule" else {}},
        steps=steps,
    )
    return workflow.model_dump()