use std::sync::Arc;

use chrono::Utc;
use db::cache::AppCache;
use db::database::AppDatabase;
use models::rooms::room_ai;
use queue::{MessageProducer, ProjectRoomEvent, RoomMessageEnvelope};
use sea_orm::{sea_query::Expr, ColumnTrait, EntityTrait, ExprTrait, QueryFilter};
use uuid::Uuid;

use super::sequence::next_room_message_seq_internal;
use crate::connection::RoomConnectionManager;
use agent::chat::{AiRequest, ChatService};
use agent::react::ReactStep;

pub async fn process_message_ai_react_streaming(
    chat_service: Arc<ChatService>,
    request: AiRequest,
    room_id: Uuid,
    project_id: Uuid,
    model_id: Uuid,
    lock_guard: crate::room_ai_queue::RoomAiLockGuard,
    db: AppDatabase,
    _cache: AppCache,
    queue: MessageProducer,
    room_manager: Arc<RoomConnectionManager>,
) {
    use queue::RoomMessageStreamChunkEvent;

    let streaming_msg_id = Uuid::now_v7();
    let seq = match next_room_message_seq_internal(room_id, &db, &_cache).await {
        Ok(s) => s,
        Err(e) => {
            tracing::error!(error = %e, "Failed to get seq for ReAct streaming");
            return;
        }
    };

    let room_id_inner = room_id;
    let project_id_inner = project_id;
    let now = Utc::now();
    let sender_type = "ai".to_string();
    let ai_display_name = request.model.name.clone();

    tokio::spawn(async move {
        let _lock_guard = lock_guard;
        let cancel = room_manager.register_stream_cancel(room_id_inner).await;

        let ai_typing_id = Uuid::parse_str("00000000-0000-0000-0000-000000000001")
            .expect("constant UUID should always parse");

        let typing_start = queue::TypingEvent {
            room_id: room_id_inner,
            user_id: ai_typing_id,
            username: ai_display_name.clone(),
            avatar_url: None,
            action: "start".to_string(),
            sender_type: Some("ai".to_string()),
        };
        room_manager.broadcast_typing(room_id_inner, typing_start.clone()).await;

        let (typing_cancel_tx, mut typing_cancel_rx) = tokio::sync::oneshot::channel::<()>();
        let typing_renew_handle = tokio::spawn({
            let mut interval = tokio::time::interval(std::time::Duration::from_secs(30));
            interval.set_missed_tick_behavior(tokio::time::MissedTickBehavior::Skip);
            let mgr = room_manager.clone();
            let rid = room_id_inner;
            let evt = typing_start.clone();
            async move {
                tokio::select! {
                    _ = &mut typing_cancel_rx => {}
                    _ = async {
                        loop {
                            interval.tick().await;
                            mgr.broadcast_typing(rid, evt.clone()).await;
                        }
                    } => {}
                }
            }
        });

        let steps: std::sync::Arc<std::sync::Mutex<Vec<(String, String)>>> =
            std::sync::Arc::new(std::sync::Mutex::new(Vec::new()));
        let last_action_name: std::sync::Arc<std::sync::Mutex<String>> =
            std::sync::Arc::new(std::sync::Mutex::new(String::new()));
        let answer_buffer: std::sync::Arc<std::sync::Mutex<String>> =
            std::sync::Arc::new(std::sync::Mutex::new(String::new()));
        let step_count = std::sync::Arc::new(std::sync::atomic::AtomicUsize::new(0));
        let chunk_seq: std::sync::Arc<std::sync::atomic::AtomicU64> =
            std::sync::Arc::new(std::sync::atomic::AtomicU64::new(1));

        fn lock_or_recover<T>(mutex: &std::sync::Mutex<T>) -> std::sync::MutexGuard<'_, T> {
            mutex.lock().unwrap_or_else(|poisoned| poisoned.into_inner())
        }

        let on_step = {
            let room_manager = room_manager.clone();
            let queue = queue.clone();
            let cancel = cancel.clone();
            let streaming_msg_id = streaming_msg_id;
            let room_id = room_id_inner;
            let step_count = step_count.clone();
            let chunk_seq = chunk_seq.clone();
            let ai_display_name_for_step = std::sync::Arc::new(ai_display_name.clone());
            let steps = steps.clone();
            let answer_buffer = answer_buffer.clone();
            let last_action_name = last_action_name.clone();
            move |step: ReactStep| {
                let room_manager = room_manager.clone();
                let queue = queue.clone();
                let cancel = cancel.clone();
                let (chunk_type, content) = match &step {
                    ReactStep::Thought { step: _, thought } => {
                        ("thinking".to_string(), thought.clone())
                    }
                    ReactStep::Action { step: _, action } => {
                        *lock_or_recover(&last_action_name) = action.name.clone();
                        ("tool_call".to_string(), serde_json::json!({
                            "name": action.name,
                            "arguments": action.args,
                        }).to_string())
                    }
                    ReactStep::Observation {
                        step: _,
                        observation,
                    } => {
                        ("tool_result".to_string(), observation.clone())
                    }
                    ReactStep::Answer { step: _, answer } => {
                        ("answer".to_string(), answer.clone())
                    }
                };

                let is_answer = matches!(&step, ReactStep::Answer { .. });
                if is_answer {
                    step_count.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
                }

                {
                    let mut s = lock_or_recover(&steps);
                    if let Some(last) = s.last_mut() {
                        if last.0 == chunk_type {
                            last.1.push_str(&content);
                        } else {
                            s.push((chunk_type.clone(), content.clone()));
                        }
                    } else {
                        s.push((chunk_type.clone(), content.clone()));
                    }
                }
                if is_answer {
                    let mut ab = lock_or_recover(&answer_buffer);
                    ab.push_str(&content);
                }

                let done = false;
                let ai_name = ai_display_name_for_step.clone();
                let current_seq = chunk_seq.fetch_add(1, std::sync::atomic::Ordering::Relaxed);
                let event = RoomMessageStreamChunkEvent {
                    message_id: streaming_msg_id,
                    room_id,
                    seq: current_seq,
                    content: content.clone(),
                    done,
                    error: None,
                    display_name: Some((*ai_name).clone()),
                    chunk_type: Some(chunk_type),
                };

                async move {
                    if cancel.load(std::sync::atomic::Ordering::Acquire) {
                        return;
                    }
                    queue.publish_stream_chunk(&event).await;
                    room_manager.broadcast_stream_chunk(event).await;
                }
            }
        };

        let result = chat_service.process_react(&request, on_step).await;

        let final_stream_content = lock_or_recover(&answer_buffer).clone();
        let final_event = RoomMessageStreamChunkEvent {
            message_id: streaming_msg_id,
            room_id: room_id_inner,
            seq: chunk_seq.fetch_add(1, std::sync::atomic::Ordering::Relaxed),
            content: final_stream_content.clone(),
            done: true,
            error: None,
            display_name: Some(ai_display_name.clone()),
            chunk_type: Some("answer".to_string()),
        };
        queue.publish_stream_chunk(&final_event).await;
        room_manager.broadcast_stream_chunk(final_event).await;

        let (final_content, _input_tokens, _output_tokens, err_msg, _should_log) = match result {
            Ok((content, input, output)) => (content, input, output, None, false),
            Err(e) => {
                let msg = format!("AI 处理失败: {}", e);
                tracing::error!(error = ?e, "ReAct streaming failed");
                (String::new(), 0, 0, Some(msg), true)
            }
        };
        let all_steps = lock_or_recover(&steps).clone();
        let reasoning_chain: String = all_steps
            .iter()
            .filter(|(t, _)| t != "answer")
            .map(|(_, c)| c.clone())
            .collect::<Vec<_>>()
            .join("\n");

        let content_to_persist = if !final_content.is_empty() {
            final_content
        } else if !reasoning_chain.trim().is_empty() {
            format!(
                "[Agent ran through {} reasoning steps but did not produce a final answer.]\n{}",
                step_count.load(std::sync::atomic::Ordering::Relaxed),
                reasoning_chain.trim_end()
            )
        } else {
            String::from("[No output from reasoning agent]")
        };
        let content_to_persist = if let Some(msg) = &err_msg {
            format!("{}\n[Error during reasoning: {}]", content_to_persist.trim_end(), msg)
        } else {
            content_to_persist
        };

        let persist_content = content_to_persist.trim().to_string();
        if persist_content.is_empty() {
            return;
        }

        let thinking_content_serialized = {
            let steps = lock_or_recover(&steps);
            if steps.is_empty() {
                None
            } else {
                let chunks_json = serde_json::json!({
                    "__chunks__": steps.iter().map(|(t, c)| serde_json::json!({
                        "type": t,
                        "content": c,
                    })).collect::<Vec<_>>(),
                });
                Some(chunks_json.to_string())
            }
        };
        let thinking_content_for_event = thinking_content_serialized.clone();

        let envelope = RoomMessageEnvelope {
            id: streaming_msg_id,
            dedup_key: Some(format!("{}:{}", room_id_inner, streaming_msg_id)),
            room_id: room_id_inner,
            sender_type: sender_type.clone(),
            sender_id: None,
            model_id: Some(model_id),
            thread_id: None,
            content: persist_content.clone(),
            content_type: "text".to_string(),
            thinking_content: thinking_content_serialized,
            send_at: now,
            seq,
            in_reply_to: None,
            display_name: Some(ai_display_name.clone()),
        };

        if let Err(e) = queue.publish(room_id_inner, envelope).await {
            tracing::error!(error = %e, "Failed to publish ReAct streaming message");
        } else {
            let now = Utc::now();
            if let Err(e) = room_ai::Entity::update_many()
                .col_expr(
                    room_ai::Column::CallCount,
                    Expr::col(room_ai::Column::CallCount).add(1),
                )
                .col_expr(room_ai::Column::LastCallAt, Expr::value(Some(now)))
                .filter(room_ai::Column::Room.eq(room_id_inner))
                .filter(room_ai::Column::Model.eq(model_id))
                .exec(&db)
                .await
            {
                tracing::warn!(error = %e, "Failed to update room_ai call stats");
            }

            let msg_event = queue::RoomMessageEvent {
                id: streaming_msg_id,
                room_id: room_id_inner,
                sender_type: sender_type.clone(),
                sender_id: None,
                thread_id: None,
                content: persist_content,
                content_type: "text".to_string(),
                thinking_content: thinking_content_for_event,
                send_at: now,
                seq,
                display_name: Some(ai_display_name.clone()),
                in_reply_to: None,
                reactions: None,
                message_id: None,
            };
            room_manager.broadcast(room_id_inner, msg_event).await;
            room_manager.metrics.messages_sent.increment(1);

            let event = ProjectRoomEvent {
                event_type: crate::RoomEventType::NewMessage.as_str().into(),
                project_id: project_id_inner,
                room_id: Some(room_id_inner),
                category_id: None,
                message_id: Some(streaming_msg_id),
                seq: Some(seq),
                timestamp: now,
            };
            queue
                .publish_project_room_event(project_id_inner, event)
                .await;
        }

        let _ = typing_cancel_tx.send(());
        typing_renew_handle.abort();
        let typing_stop = queue::TypingEvent {
            room_id: room_id_inner,
            user_id: ai_typing_id,
            username: ai_display_name.clone(),
            avatar_url: None,
            action: "stop".to_string(),
            sender_type: Some("ai".to_string()),
        };
        room_manager.broadcast_typing(room_id_inner, typing_stop).await;

        room_manager.unregister_stream_cancel(room_id_inner).await;
        room_manager.close_stream_channel(streaming_msg_id).await;
    });
}