260 lines
10 KiB
Rust
260 lines
10 KiB
Rust
use itertools::Itertools;
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use serde::{Deserialize, Serialize};
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use warp_graphql::mutations::generate_metadata_for_command::{
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GenerateMetadataForCommandFailureType, GenerateMetadataForCommandSuccess,
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};
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use warpui::{SingletonEntity, ViewContext};
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use crate::{
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ai::AIRequestUsageModel,
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auth::AuthStateProvider,
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send_telemetry_from_ctx,
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server::telemetry::TelemetryEvent,
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workflows::workflow::{Argument, Workflow},
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workspaces::user_workspaces::UserWorkspaces,
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};
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use super::{
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arguments::ArgumentsState,
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modal::{AiAssistState, WorkflowModal, WorkflowModalEvent},
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};
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/// Generated command metadata from server.
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#[derive(Debug)]
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pub struct GeneratedCommandMetadata {
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pub command: String,
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pub title: String,
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pub description: String,
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pub arguments: Vec<GeneratedArgument>,
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}
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/// Metadata for a parameter in the workflow.
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#[derive(Debug)]
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pub struct GeneratedArgument {
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pub name: String,
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pub description: String,
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pub default_value: String,
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}
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impl From<GenerateMetadataForCommandSuccess> for GeneratedCommandMetadata {
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fn from(value: GenerateMetadataForCommandSuccess) -> Self {
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GeneratedCommandMetadata {
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command: value.parameterized_command,
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title: value.title,
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description: value.description,
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arguments: value
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.parameters
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.into_iter()
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.map(|p| GeneratedArgument {
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name: p.name,
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description: p.description,
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default_value: p.value,
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})
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.collect_vec(),
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}
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}
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}
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#[derive(Copy, Clone, Debug, Serialize, Deserialize)]
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pub enum GeneratedCommandMetadataError {
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/// OpenAI failed to generate a parsable response.
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BadCommand,
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/// Request to OpenAI failed
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AiProviderError,
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/// User is over rate limit.
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RateLimited,
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Other,
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}
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impl GeneratedCommandMetadataError {
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pub fn user_facing_message(&self) -> String {
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match self {
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Self::BadCommand => {
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"Failed to generate metadata. Please try again with a different command."
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}
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Self::AiProviderError => "Something went wrong. Please try again.",
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Self::RateLimited => "Looks like you're out of AI credits. Please try again later.",
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Self::Other => "Something went wrong. Please try again.",
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}
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.to_string()
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}
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}
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impl From<GenerateMetadataForCommandFailureType> for GeneratedCommandMetadataError {
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fn from(value: GenerateMetadataForCommandFailureType) -> Self {
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match value {
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GenerateMetadataForCommandFailureType::BadCommand => Self::BadCommand,
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GenerateMetadataForCommandFailureType::AiProviderError => Self::AiProviderError,
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GenerateMetadataForCommandFailureType::RateLimited => Self::RateLimited,
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GenerateMetadataForCommandFailureType::Other => Self::Other,
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}
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}
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}
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impl WorkflowModal {
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/// Send request to generate metadata for the command in command editor.
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pub(super) fn issue_request(&mut self, ctx: &mut ViewContext<Self>) {
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let ai_client = self.ai_client.clone();
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let content = self.content_editor.as_ref(ctx).buffer_text(ctx);
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let raw_request = content.trim().to_string();
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ctx.spawn(
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async move { ai_client.generate_metadata_for_command(raw_request).await },
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move |modal, response, ctx| {
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match response {
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Ok(metadata) => {
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modal.ai_metadata_assist_state = AiAssistState::Generated;
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modal.enable_editors(ctx);
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let arguments = metadata
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.arguments
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.into_iter()
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.map(|parameter| Argument {
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name: parameter.name,
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description: Some(parameter.description),
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default_value: Some(parameter.default_value),
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arg_type: Default::default()
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})
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.collect_vec();
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let workflow = Workflow::Command {
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name: metadata.title,
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description: Some(metadata.description),
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command: metadata.command,
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arguments,
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tags: vec![],
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source_url: None,
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author: None,
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author_url: None,
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shells: vec![],
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environment_variables: None,
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};
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send_telemetry_from_ctx!(
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TelemetryEvent::AutoGenerateMetadataSuccess,
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ctx
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);
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modal.populate_missing_field_with_suggestion(workflow, ctx);
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ctx.notify();
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}
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Err(err) => {
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let message = err.user_facing_message();
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if let GeneratedCommandMetadataError::RateLimited = err {
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let auth_state = AuthStateProvider::as_ref(ctx).get();
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let current_user_id = auth_state.user_id().unwrap_or_default();
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if let Some(team) = UserWorkspaces::as_ref(ctx).current_team() {
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let current_user_email =
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auth_state.user_email().unwrap_or_default();
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let has_admin_permissions = team.has_admin_permissions(¤t_user_email);
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if team.billing_metadata.can_upgrade_to_higher_tier_plan() {
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if has_admin_permissions {
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ctx.emit(WorkflowModalEvent::AiAssistUpgradeError(Some(team.uid), current_user_id));
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} else {
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ctx.emit(WorkflowModalEvent::AiAssistError("Looks like you're out of AI credits. Contact a team admin to upgrade for more credits.".to_string()));
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}
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} else {
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ctx.emit(WorkflowModalEvent::AiAssistError(message.clone()));
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}
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} else {
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ctx.emit(WorkflowModalEvent::AiAssistUpgradeError(None, current_user_id));
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}
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} else {
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ctx.emit(WorkflowModalEvent::AiAssistError(message.clone()));
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}
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send_telemetry_from_ctx!(
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TelemetryEvent::AutoGenerateMetadataError {
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error_payload: serde_json::json!(err)
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},
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ctx
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);
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modal.ai_metadata_assist_state = AiAssistState::PreRequest;
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modal.enable_editors(ctx);
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ctx.notify();
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}
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}
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AIRequestUsageModel::handle(ctx).update(ctx, |request_usage_model, ctx| {
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request_usage_model.refresh_request_usage_async(ctx);
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});
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}
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);
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self.ai_metadata_assist_state = AiAssistState::RequestInFlight;
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self.disable_editors(ctx);
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ctx.notify();
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}
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// Populate only the missing field in the workflow editor with the generated suggestion from AI.
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pub(super) fn populate_missing_field_with_suggestion(
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&mut self,
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workflow: Workflow,
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ctx: &mut ViewContext<Self>,
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) {
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self.title_editor.update(ctx, |editor, ctx| {
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if editor.is_empty(ctx) {
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editor.set_buffer_text(workflow.name(), ctx);
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}
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});
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self.description_editor.update(ctx, |editor, ctx| {
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if editor.is_empty(ctx) {
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editor.set_buffer_text(
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workflow
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.description()
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.map(String::as_str)
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.unwrap_or_default(),
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ctx,
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);
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}
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});
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let content_parsed = !self.arguments_state.arguments.is_empty();
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if !content_parsed {
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self.content_editor.update(ctx, |editor, ctx| {
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editor.set_buffer_text(workflow.content(), ctx);
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});
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// note: normally, we wouldn't have to do this, since editing the command
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// editor's text will trigger the event that does this automatically.
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// however, that happens in a callback, yet we need to know what the args
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// are right away to populate the description/default value editors.
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self.arguments_state = ArgumentsState::for_command_workflow(
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&self.arguments_state,
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workflow.content().to_string(),
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);
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self.update_arguments_rows(ctx);
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workflow
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.arguments()
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.iter()
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.enumerate()
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.for_each(|(index, argument)| {
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// Since suggestion generated by AI is non-deterministic, we should make sure to handle each
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// operation safely.
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if index >= self.arguments_rows.len() {
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return;
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}
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if let Some(description) = &argument.description {
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self.arguments_rows[index]
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.description_editor
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.update(ctx, |editor, ctx| {
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editor.set_buffer_text(description.as_str(), ctx);
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});
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}
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if let Some(default_value) = &argument.default_value {
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self.arguments_rows[index].default_value_editor.update(
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ctx,
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|editor, ctx| {
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editor.set_buffer_text(default_value.as_str(), ctx);
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},
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);
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}
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});
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}
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}
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}
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