"""
ScrAIbe Web GUI (Gradio)
------------------------

Runs the Web GUI that:
- Accepts audio uploads
- Sends audio to LocalAI for transcription + diarization
- Optionally sends transcript to a second LLM for summarization
- Returns transcript (and summary) in the browser
- Optionally emails transcript files (TXT + JSON)

This is the default entrypoint when running in Docker.
"""

import os
import json
import logging
import tempfile
from datetime import datetime

import gradio as gr

from .autotranscript import Scraibe
from .misc import setup_logging

logger = logging.getLogger("scraibe.webui")


def load_config():
    """
    Load configuration from misc/config.yaml if present.
    Primary runtime configuration is via environment variables.
    """
    config_path = os.getenv("SCRAIBE_CONFIG", "/app/src/misc/config.yaml")
    config = {}
    if os.path.exists(config_path):
        try:
            import yaml
            with open(config_path, "r", encoding="utf-8") as f:
                config = yaml.safe_load(f) or {}
        except Exception as e:
            logger.warning("Failed to load config from %s: %s", config_path, e)
    return config


def create_app():
    """
    Create and launch the Gradio Web GUI.
    """

    # Logging
    log_level = os.getenv("LOG_LEVEL", "INFO")
    setup_logging(level=log_level)

    # Load config (branding, layout, etc.)
    config = load_config()
    layout_cfg = config.get("layout", {})
    launch_cfg = config.get("launch", {})

    logger.info("Starting ScrAIbe Web GUI.")

    # Initialize Scraibe (LocalAI-backed)
    # If LocalAI is unreachable at startup, still launch the UI
    # and let individual transcription calls fail with a clear message.
    scraibe = None
    try:
        scraibe = Scraibe(verbose=True)
    except Exception as e:
        logger.warning(
            "Failed to initialize Scraibe at startup (LocalAI may be down): %s. "
            "Web GUI will start; transcription will fail until LocalAI is reachable.",
            e,
        )

    # Helper: run transcription via LocalAI API
    def run_transcribe(
        audio_path,
        task,
        language,
        num_speakers,
        send_email_flag,
        email_to,
        email_cc,
        email_subject,
    ):
        if not audio_path:
            raise ValueError("No audio file provided.")

        email_status = ""
        attachments = []

        # Ensure we use rich export mode (for JSON with diarization)
        try:
            if task == "transcript_and_summarize":
                result = scraibe.transcript_and_summarize(
                    audio_file=audio_path,
                    language=language or None,
                    num_speakers=int(num_speakers) if num_speakers else None,
                    verbose=True,
                    for_export=True,
                )
                transcript_text = result.get("transcript", "")
                summary_text = result.get("summary", "")
                segments = result.get("segments", [])
                raw_result = result.get("raw_result")

                # Save as .md (transcript + summary)
                md_path = tempfile.mktemp(suffix=".md")
                with open(md_path, "w", encoding="utf-8") as f:
                    f.write("# Transcript\n\n")
                    f.write(transcript_text)
                    f.write("\n\n# Summary\n\n")
                    f.write(summary_text)

                # Save as .txt (plain transcript)
                txt_path = tempfile.mktemp(suffix=".txt")
                with open(txt_path, "w", encoding="utf-8") as f:
                    f.write(transcript_text)

                # Save as .json (diarization + transcript + summary)
                json_data = {
                    "task": "transcript_and_summarize",
                    "transcript": transcript_text,
                    "summary": summary_text,
                    "segments": segments,
                    "metadata": {
                        "timestamp": datetime.utcnow().isoformat()
                    },
                }
                if raw_result is not None:
                    json_data["raw_result"] = raw_result

                json_path = tempfile.mktemp(suffix=".json")
                with open(json_path, "w", encoding="utf-8") as f:
                    json.dump(json_data, f, indent=2, ensure_ascii=False)

                # Prepare attachments for email
                if send_email_flag:
                    attachments = [txt_path, json_path]

                status_msg = "Transcription and summarization completed."

            else:
                # transcribe only (with diarization)
                result = scraibe.transcribe(
                    audio_file=audio_path,
                    language=language or None,
                    num_speakers=int(num_speakers) if num_speakers else None,
                    verbose=True,
                    for_export=True,
                )
                transcript_text = result.get("transcript", "")
                segments = result.get("segments", [])
                raw_result = result.get("raw_result")

                # Save as .txt (plain transcript)
                txt_path = tempfile.mktemp(suffix=".txt")
                with open(txt_path, "w", encoding="utf-8") as f:
                    f.write(transcript_text)

                # Save as .json (diarization + transcript)
                json_data = {
                    "task": "transcribe",
                    "transcript": transcript_text,
                    "segments": segments,
                    "metadata": {
                        "timestamp": datetime.utcnow().isoformat()
                    },
                }
                if raw_result is not None:
                    json_data["raw_result"] = raw_result

                json_path = tempfile.mktemp(suffix=".json")
                with open(json_path, "w", encoding="utf-8") as f:
                    json.dump(json_data, f, indent=2, ensure_ascii=False)

                # Prepare attachments for email
                if send_email_flag:
                    attachments = [txt_path, json_path]

                status_msg = "Transcription completed."

        except Exception as e:
            logger.error("Error during transcription: %s", e)
            return (
                "",
                "",
                None,
                f"Error: {e}",
                "",
            )

        # Handle email after successful transcription
        if send_email_flag and attachments:
            try:
                from .email_sender import send_email, EmailError
            except ImportError:
                email_status = "Email feature unavailable (email_sender not found)."
            else:
                to = (email_to or "").strip()
                cc = (email_cc or "").strip()
                subject = (email_subject or "").strip()

                if not to:
                    email_status = "Email not sent: 'To' address is empty."
                else:
                    if not subject:
                        subject = f"ScrAIbe Transcript - {datetime.utcnow().strftime('%Y-%m-%d %H:%M UTC')}"

                    body = (
                        "Please find the transcription files attached.\n"
                        "This message was generated by ScrAIbe.\n"
                    )

                    try:
                        send_email(
                            to=to,
                            cc=cc or None,
                            subject=subject,
                            body=body,
                            attachments=attachments,
                        )
                        email_status = "Transcript files sent via email."
                    except EmailError as e:
                        email_status = f"Email failed: {e}"
                    except Exception as e:
                        email_status = f"Email failed: {e}"

        # Use md_path for file_output in transcript_and_summarize, else txt_path
        file_path = md_path if task == "transcript_and_summarize" else txt_path

        return (
            transcript_text,
            summary_text if task == "transcript_and_summarize" else "",
            file_path,
            status_msg,
            email_status,
        )

    # Load header/footer HTML if present
    header_path = layout_cfg.get("header", "/app/src/misc/header.html")
    footer_path = layout_cfg.get("footer", "/app/src/misc/footer.html")

    header_html = ""
    footer_html = ""

    if header_path and os.path.exists(header_path):
        with open(header_path, "r", encoding="utf-8") as f:
            header_html = f.read()

    if footer_path and os.path.exists(footer_path):
        with open(footer_path, "r", encoding="utf-8") as f:
            footer_html = f.read()

    # Build Gradio interface
    # In Gradio 6.0+, css must be passed to launch(), not Blocks()
    with gr.Blocks(
        title="A.P.Strom Transcription",
    ) as app:

        # Header
        if header_html:
            gr.HTML(header_html)

        with gr.Row():
            with gr.Column(scale=2):
                audio_input = gr.Audio(
                    label="Upload or record audio",
                    type="filepath",
                )

                with gr.Row():
                    task_choice = gr.Radio(
                        choices=[
                            ("Transcribe", "transcribe"),
                            ("Transcript & Summarize", "transcript_and_summarize"),
                        ],
                        value="transcribe",
                        label="Task",
                    )

                with gr.Row():
                    language_input = gr.Textbox(
                        label="Language (optional)",
                        placeholder="e.g., english, german",
                    )
                    num_speakers_input = gr.Number(
                        label="Number of speakers (optional)",
                        precision=0,
                    )

                # Email options
                send_email_checkbox = gr.Checkbox(
                    label="Send transcript files via email"
                )

                with gr.Group(visible=False) as email_group:
                    email_to = gr.Textbox(
                        label="To (comma-separated)",
                        placeholder="e.g. name@example.com",
                    )
                    email_cc = gr.Textbox(
                        label="CC (optional, comma-separated)",
                        placeholder="e.g. manager@example.com",
                    )
                    email_subject = gr.Textbox(
                        label="Subject (optional)",
                        placeholder="Default: ScrAIbe Transcript - <date>",
                    )

                send_email_checkbox.change(
                    fn=lambda v: gr.update(visible=v),
                    inputs=[send_email_checkbox],
                    outputs=[email_group],
                )

                transcribe_btn = gr.Button("Start", variant="primary")

            with gr.Column(scale=3):
                output_text = gr.Textbox(
                    label="Transcript",
                    lines=10,
                    interactive=False,
                )
                summary_text = gr.Textbox(
                    label="Summary",
                    lines=10,
                    interactive=False,
                    visible=False,
                )
                file_output = gr.File(
                    label="Download transcript/summary",
                )
                status_text = gr.Textbox(
                    label="Status",
                    interactive=False,
                )
                email_status_text = gr.Textbox(
                    label="Email status",
                    interactive=False,
                    visible=True,
                )

        # Footer
        if footer_html:
            gr.HTML(footer_html)

        # Events

        def on_task_change(value):
            show_summary = (value == "transcript_and_summarize")
            return gr.update(visible=show_summary)

        task_choice.change(
            fn=on_task_change,
            inputs=[task_choice],
            outputs=[summary_text],
        )

        def on_transcribe(
            audio,
            task,
            language,
            num_speakers,
            send_email_flag,
            email_to_val,
            email_cc_val,
            email_subject_val,
        ):
            if not audio:
                return (
                    "",
                    "",
                    None,
                    "Please upload or record audio.",
                    "",
                )

            transcript, summary, file_path, status_msg, email_status = run_transcribe(
                audio_path=audio,
                task=task,
                language=language,
                num_speakers=num_speakers,
                send_email_flag=bool(send_email_flag),
                email_to=email_to_val,
                email_cc=email_cc_val,
                email_subject=email_subject_val,
            )

            show_summary = bool(summary)
            return (
                transcript,
                summary,
                file_path if file_path else None,
                status_msg,
                email_status,
            )

        transcribe_btn.click(
            fn=on_transcribe,
            inputs=[
                audio_input,
                task_choice,
                language_input,
                num_speakers_input,
                send_email_checkbox,
                email_to,
                email_cc,
                email_subject,
            ],
            outputs=[
                output_text,
                summary_text,
                file_output,
                status_text,
                email_status_text,
            ],
        )

    # Launch options
    server_name = launch_cfg.get("server_name", os.getenv("GRADIO_SERVER_NAME", "0.0.0.0"))
    server_port = launch_cfg.get("server_port", 7860)
    favicon_path = launch_cfg.get("favicon_path", "/app/src/misc/logo.png")

    app.launch(
        server_name=str(server_name),
        server_port=int(server_port),
        favicon_path=favicon_path if os.path.exists(favicon_path) else None,
        css="body { font-family: Arial, sans-serif; }",
    )


if __name__ == "__main__":
    create_app()