pub mod assistant_panel;
pub mod assistant_settings;
mod completion_provider;
mod context;
pub mod context_store;
mod inline_assistant;
mod model_selector;
mod prompt_library;
mod prompts;
mod search;
mod slash_command;
mod streaming_diff;
mod terminal_inline_assistant;

pub use assistant_panel::{AssistantPanel, AssistantPanelEvent};
use assistant_settings::{AnthropicModel, AssistantSettings, CloudModel, OllamaModel, OpenAiModel};
use assistant_slash_command::SlashCommandRegistry;
use client::{proto, Client};
use command_palette_hooks::CommandPaletteFilter;
pub use completion_provider::*;
pub use context::*;
pub use context_store::*;
use fs::Fs;
use gpui::{actions, AppContext, Global, SharedString, UpdateGlobal};
use indexed_docs::IndexedDocsRegistry;
pub(crate) use inline_assistant::*;
pub(crate) use model_selector::*;
use semantic_index::{CloudEmbeddingProvider, SemanticIndex};
use serde::{Deserialize, Serialize};
use settings::{Settings, SettingsStore};
use slash_command::{
    active_command, default_command, diagnostics_command, docs_command, fetch_command,
    file_command, now_command, project_command, prompt_command, search_command, tabs_command,
    term_command,
};
use std::{
    fmt::{self, Display},
    sync::Arc,
};
pub(crate) use streaming_diff::*;

actions!(
    assistant,
    [
        Assist,
        Split,
        CycleMessageRole,
        QuoteSelection,
        InsertIntoEditor,
        ToggleFocus,
        ResetKey,
        InlineAssist,
        InsertActivePrompt,
        DeployHistory,
        DeployPromptLibrary,
        ApplyEdit,
        ConfirmCommand,
        ToggleModelSelector
    ]
);

#[derive(Copy, Clone, Debug, Eq, PartialEq, PartialOrd, Ord, Hash, Serialize, Deserialize)]
pub struct MessageId(clock::Lamport);

impl MessageId {
    pub fn as_u64(self) -> u64 {
        self.0.as_u64()
    }
}

#[derive(Clone, Copy, Serialize, Deserialize, Debug, Eq, PartialEq)]
#[serde(rename_all = "lowercase")]
pub enum Role {
    User,
    Assistant,
    System,
}

impl Role {
    pub fn from_proto(role: i32) -> Role {
        match proto::LanguageModelRole::from_i32(role) {
            Some(proto::LanguageModelRole::LanguageModelUser) => Role::User,
            Some(proto::LanguageModelRole::LanguageModelAssistant) => Role::Assistant,
            Some(proto::LanguageModelRole::LanguageModelSystem) => Role::System,
            Some(proto::LanguageModelRole::LanguageModelTool) => Role::System,
            None => Role::User,
        }
    }

    pub fn to_proto(&self) -> proto::LanguageModelRole {
        match self {
            Role::User => proto::LanguageModelRole::LanguageModelUser,
            Role::Assistant => proto::LanguageModelRole::LanguageModelAssistant,
            Role::System => proto::LanguageModelRole::LanguageModelSystem,
        }
    }

    pub fn cycle(self) -> Role {
        match self {
            Role::User => Role::Assistant,
            Role::Assistant => Role::System,
            Role::System => Role::User,
        }
    }
}

impl Display for Role {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> std::fmt::Result {
        match self {
            Role::User => write!(f, "user"),
            Role::Assistant => write!(f, "assistant"),
            Role::System => write!(f, "system"),
        }
    }
}

#[derive(Clone, Debug, Serialize, Deserialize, PartialEq)]
pub enum LanguageModel {
    Cloud(CloudModel),
    OpenAi(OpenAiModel),
    Anthropic(AnthropicModel),
    Ollama(OllamaModel),
}

impl Default for LanguageModel {
    fn default() -> Self {
        LanguageModel::Cloud(CloudModel::default())
    }
}

impl LanguageModel {
    pub fn telemetry_id(&self) -> String {
        match self {
            LanguageModel::OpenAi(model) => format!("openai/{}", model.id()),
            LanguageModel::Anthropic(model) => format!("anthropic/{}", model.id()),
            LanguageModel::Cloud(model) => format!("zed.dev/{}", model.id()),
            LanguageModel::Ollama(model) => format!("ollama/{}", model.id()),
        }
    }

    pub fn display_name(&self) -> String {
        match self {
            LanguageModel::OpenAi(model) => model.display_name().into(),
            LanguageModel::Anthropic(model) => model.display_name().into(),
            LanguageModel::Cloud(model) => model.display_name().into(),
            LanguageModel::Ollama(model) => model.display_name().into(),
        }
    }

    pub fn max_token_count(&self) -> usize {
        match self {
            LanguageModel::OpenAi(model) => model.max_token_count(),
            LanguageModel::Anthropic(model) => model.max_token_count(),
            LanguageModel::Cloud(model) => model.max_token_count(),
            LanguageModel::Ollama(model) => model.max_token_count(),
        }
    }

    pub fn id(&self) -> &str {
        match self {
            LanguageModel::OpenAi(model) => model.id(),
            LanguageModel::Anthropic(model) => model.id(),
            LanguageModel::Cloud(model) => model.id(),
            LanguageModel::Ollama(model) => model.id(),
        }
    }
}

#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct LanguageModelRequestMessage {
    pub role: Role,
    pub content: String,
}

impl LanguageModelRequestMessage {
    pub fn to_proto(&self) -> proto::LanguageModelRequestMessage {
        proto::LanguageModelRequestMessage {
            role: self.role.to_proto() as i32,
            content: self.content.clone(),
            tool_calls: Vec::new(),
            tool_call_id: None,
        }
    }
}

#[derive(Debug, Default, Serialize, Deserialize)]
pub struct LanguageModelRequest {
    pub model: LanguageModel,
    pub messages: Vec<LanguageModelRequestMessage>,
    pub stop: Vec<String>,
    pub temperature: f32,
}

impl LanguageModelRequest {
    pub fn to_proto(&self) -> proto::CompleteWithLanguageModel {
        proto::CompleteWithLanguageModel {
            model: self.model.id().to_string(),
            messages: self.messages.iter().map(|m| m.to_proto()).collect(),
            stop: self.stop.clone(),
            temperature: self.temperature,
            tool_choice: None,
            tools: Vec::new(),
        }
    }

    /// Before we send the request to the server, we can perform fixups on it appropriate to the model.
    pub fn preprocess(&mut self) {
        match &self.model {
            LanguageModel::OpenAi(_) => {}
            LanguageModel::Anthropic(_) => {}
            LanguageModel::Ollama(_) => {}
            LanguageModel::Cloud(model) => match model {
                CloudModel::Claude3Opus
                | CloudModel::Claude3Sonnet
                | CloudModel::Claude3Haiku
                | CloudModel::Claude3_5Sonnet => {
                    preprocess_anthropic_request(self);
                }
                _ => {}
            },
        }
    }
}

#[derive(Serialize, Deserialize, Debug, Eq, PartialEq)]
pub struct LanguageModelResponseMessage {
    pub role: Option<Role>,
    pub content: Option<String>,
}

#[derive(Deserialize, Debug)]
pub struct LanguageModelUsage {
    pub prompt_tokens: u32,
    pub completion_tokens: u32,
    pub total_tokens: u32,
}

#[derive(Deserialize, Debug)]
pub struct LanguageModelChoiceDelta {
    pub index: u32,
    pub delta: LanguageModelResponseMessage,
    pub finish_reason: Option<String>,
}

#[derive(Clone, Debug, Eq, PartialEq, Serialize, Deserialize)]
pub enum MessageStatus {
    Pending,
    Done,
    Error(SharedString),
}

impl MessageStatus {
    pub fn from_proto(status: proto::ContextMessageStatus) -> MessageStatus {
        match status.variant {
            Some(proto::context_message_status::Variant::Pending(_)) => MessageStatus::Pending,
            Some(proto::context_message_status::Variant::Done(_)) => MessageStatus::Done,
            Some(proto::context_message_status::Variant::Error(error)) => {
                MessageStatus::Error(error.message.into())
            }
            None => MessageStatus::Pending,
        }
    }

    pub fn to_proto(&self) -> proto::ContextMessageStatus {
        match self {
            MessageStatus::Pending => proto::ContextMessageStatus {
                variant: Some(proto::context_message_status::Variant::Pending(
                    proto::context_message_status::Pending {},
                )),
            },
            MessageStatus::Done => proto::ContextMessageStatus {
                variant: Some(proto::context_message_status::Variant::Done(
                    proto::context_message_status::Done {},
                )),
            },
            MessageStatus::Error(message) => proto::ContextMessageStatus {
                variant: Some(proto::context_message_status::Variant::Error(
                    proto::context_message_status::Error {
                        message: message.to_string(),
                    },
                )),
            },
        }
    }
}

/// The state pertaining to the Assistant.
#[derive(Default)]
struct Assistant {
    /// Whether the Assistant is enabled.
    enabled: bool,
}

impl Global for Assistant {}

impl Assistant {
    const NAMESPACE: &'static str = "assistant";

    fn set_enabled(&mut self, enabled: bool, cx: &mut AppContext) {
        if self.enabled == enabled {
            return;
        }

        self.enabled = enabled;

        if !enabled {
            CommandPaletteFilter::update_global(cx, |filter, _cx| {
                filter.hide_namespace(Self::NAMESPACE);
            });

            return;
        }

        CommandPaletteFilter::update_global(cx, |filter, _cx| {
            filter.show_namespace(Self::NAMESPACE);
        });
    }
}

pub fn init(fs: Arc<dyn Fs>, client: Arc<Client>, cx: &mut AppContext) {
    cx.set_global(Assistant::default());
    AssistantSettings::register(cx);

    cx.spawn(|mut cx| {
        let client = client.clone();
        async move {
            let embedding_provider = CloudEmbeddingProvider::new(client.clone());
            let semantic_index = SemanticIndex::new(
                paths::embeddings_dir().join("semantic-index-db.0.mdb"),
                Arc::new(embedding_provider),
                &mut cx,
            )
            .await?;
            cx.update(|cx| cx.set_global(semantic_index))
        }
    })
    .detach();

    context_store::init(&client);
    prompt_library::init(cx);
    completion_provider::init(client.clone(), cx);
    assistant_slash_command::init(cx);
    register_slash_commands(cx);
    assistant_panel::init(cx);
    inline_assistant::init(fs.clone(), client.telemetry().clone(), cx);
    terminal_inline_assistant::init(fs.clone(), client.telemetry().clone(), cx);
    IndexedDocsRegistry::init_global(cx);

    CommandPaletteFilter::update_global(cx, |filter, _cx| {
        filter.hide_namespace(Assistant::NAMESPACE);
    });
    Assistant::update_global(cx, |assistant, cx| {
        let settings = AssistantSettings::get_global(cx);

        assistant.set_enabled(settings.enabled, cx);
    });
    cx.observe_global::<SettingsStore>(|cx| {
        Assistant::update_global(cx, |assistant, cx| {
            let settings = AssistantSettings::get_global(cx);
            assistant.set_enabled(settings.enabled, cx);
        });
    })
    .detach();
}

fn register_slash_commands(cx: &mut AppContext) {
    let slash_command_registry = SlashCommandRegistry::global(cx);
    slash_command_registry.register_command(file_command::FileSlashCommand, true);
    slash_command_registry.register_command(active_command::ActiveSlashCommand, true);
    slash_command_registry.register_command(tabs_command::TabsSlashCommand, true);
    slash_command_registry.register_command(project_command::ProjectSlashCommand, true);
    slash_command_registry.register_command(search_command::SearchSlashCommand, true);
    slash_command_registry.register_command(prompt_command::PromptSlashCommand, true);
    slash_command_registry.register_command(default_command::DefaultSlashCommand, true);
    slash_command_registry.register_command(term_command::TermSlashCommand, true);
    slash_command_registry.register_command(now_command::NowSlashCommand, true);
    slash_command_registry.register_command(diagnostics_command::DiagnosticsSlashCommand, true);
    slash_command_registry.register_command(docs_command::DocsSlashCommand, true);
    slash_command_registry.register_command(fetch_command::FetchSlashCommand, false);
}

pub fn humanize_token_count(count: usize) -> String {
    match count {
        0..=999 => count.to_string(),
        1000..=9999 => {
            let thousands = count / 1000;
            let hundreds = (count % 1000 + 50) / 100;
            if hundreds == 0 {
                format!("{}k", thousands)
            } else if hundreds == 10 {
                format!("{}k", thousands + 1)
            } else {
                format!("{}.{}k", thousands, hundreds)
            }
        }
        _ => format!("{}k", (count + 500) / 1000),
    }
}

#[cfg(test)]
#[ctor::ctor]
fn init_logger() {
    if std::env::var("RUST_LOG").is_ok() {
        env_logger::init();
    }
}