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https://github.com/meilisearch/MeiliSearch
synced 2025-07-04 04:17:10 +02:00
Clean up chat completions modules a bit
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parent
201a808fe2
commit
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4 changed files with 472 additions and 449 deletions
243
crates/meilisearch/src/routes/chats/utils.rs
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243
crates/meilisearch/src/routes/chats/utils.rs
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use std::cell::RefCell;
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use std::sync::RwLock;
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use actix_web_lab::sse::{self, Event};
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use async_openai::types::{
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ChatChoiceStream, ChatCompletionMessageToolCall, ChatCompletionMessageToolCallChunk,
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ChatCompletionRequestAssistantMessage, ChatCompletionRequestMessage,
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ChatCompletionStreamResponseDelta, ChatCompletionToolType, CreateChatCompletionStreamResponse,
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FunctionCall, FunctionCallStream, Role,
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};
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use bumpalo::Bump;
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use meilisearch_types::error::ResponseError;
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use meilisearch_types::heed::RoTxn;
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use meilisearch_types::milli::index::ChatConfig;
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use meilisearch_types::milli::prompt::{Prompt, PromptData};
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use meilisearch_types::milli::update::new::document::DocumentFromDb;
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use meilisearch_types::milli::{
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DocumentId, FieldIdMapWithMetadata, GlobalFieldsIdsMap, MetadataBuilder,
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};
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use meilisearch_types::{Document, Index};
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use serde::Serialize;
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use tokio::sync::mpsc::error::SendError;
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use tokio::sync::mpsc::Sender;
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use super::errors::StreamErrorEvent;
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use super::MEILI_APPEND_CONVERSATION_MESSAGE_NAME;
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use crate::routes::chats::{MEILI_SEARCH_PROGRESS_NAME, MEILI_SEARCH_SOURCES_NAME};
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pub struct SseEventSender(Sender<Event>);
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impl SseEventSender {
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pub fn new(sender: Sender<Event>) -> Self {
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Self(sender)
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}
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/// Ask the front-end user to append this tool *call* to the conversation
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pub async fn append_tool_call_conversation_message(
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&self,
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resp: CreateChatCompletionStreamResponse,
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call_id: String,
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function_name: String,
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function_arguments: String,
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) -> Result<(), SendError<Event>> {
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#[allow(deprecated)]
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let message =
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ChatCompletionRequestMessage::Assistant(ChatCompletionRequestAssistantMessage {
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content: None,
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refusal: None,
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name: None,
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audio: None,
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tool_calls: Some(vec![ChatCompletionMessageToolCall {
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id: call_id,
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r#type: Some(ChatCompletionToolType::Function),
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function: FunctionCall { name: function_name, arguments: function_arguments },
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}]),
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function_call: None,
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});
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self.append_conversation_message(resp, &message).await
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}
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/// Ask the front-end user to append this tool to the conversation
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pub async fn append_conversation_message(
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&self,
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mut resp: CreateChatCompletionStreamResponse,
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message: &ChatCompletionRequestMessage,
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) -> Result<(), SendError<Event>> {
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let call_text = serde_json::to_string(message).unwrap();
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let tool_call = ChatCompletionMessageToolCallChunk {
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index: 0,
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id: Some(uuid::Uuid::new_v4().to_string()),
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r#type: Some(ChatCompletionToolType::Function),
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function: Some(FunctionCallStream {
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name: Some(MEILI_APPEND_CONVERSATION_MESSAGE_NAME.to_string()),
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arguments: Some(call_text),
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}),
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};
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resp.choices[0] = ChatChoiceStream {
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index: 0,
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#[allow(deprecated)]
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delta: ChatCompletionStreamResponseDelta {
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content: None,
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function_call: None,
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tool_calls: Some(vec![tool_call]),
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role: Some(Role::Assistant),
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refusal: None,
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},
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finish_reason: None,
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logprobs: None,
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};
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self.send_json(&resp).await
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}
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pub async fn report_search_progress(
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&self,
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mut resp: CreateChatCompletionStreamResponse,
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call_id: &str,
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function_name: &str,
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function_arguments: &str,
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) -> Result<(), SendError<Event>> {
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#[derive(Debug, Clone, Serialize)]
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/// Provides information about the current Meilisearch search operation.
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struct MeiliSearchProgress<'a> {
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/// The call ID to track the sources of the search.
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call_id: &'a str,
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/// The name of the function we are executing.
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function_name: &'a str,
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/// The arguments of the function we are executing, encoded in JSON.
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function_arguments: &'a str,
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}
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let progress = MeiliSearchProgress { call_id, function_name, function_arguments };
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let call_text = serde_json::to_string(&progress).unwrap();
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let tool_call = ChatCompletionMessageToolCallChunk {
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index: 0,
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id: Some(uuid::Uuid::new_v4().to_string()),
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r#type: Some(ChatCompletionToolType::Function),
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function: Some(FunctionCallStream {
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name: Some(MEILI_SEARCH_PROGRESS_NAME.to_string()),
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arguments: Some(call_text),
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}),
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};
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resp.choices[0] = ChatChoiceStream {
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index: 0,
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#[allow(deprecated)]
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delta: ChatCompletionStreamResponseDelta {
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content: None,
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function_call: None,
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tool_calls: Some(vec![tool_call]),
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role: Some(Role::Assistant),
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refusal: None,
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},
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finish_reason: None,
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logprobs: None,
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};
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self.send_json(&resp).await
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}
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pub async fn report_sources(
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&self,
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mut resp: CreateChatCompletionStreamResponse,
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call_id: &str,
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documents: &[Document],
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) -> Result<(), SendError<Event>> {
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#[derive(Debug, Clone, Serialize)]
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/// Provides sources of the search.
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struct MeiliSearchSources<'a> {
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/// The call ID to track the original search associated to those sources.
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call_id: &'a str,
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/// The documents associated with the search (call_id).
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/// Only the displayed attributes of the documents are returned.
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sources: &'a [Document],
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}
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let sources = MeiliSearchSources { call_id, sources: documents };
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let call_text = serde_json::to_string(&sources).unwrap();
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let tool_call = ChatCompletionMessageToolCallChunk {
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index: 0,
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id: Some(uuid::Uuid::new_v4().to_string()),
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r#type: Some(ChatCompletionToolType::Function),
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function: Some(FunctionCallStream {
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name: Some(MEILI_SEARCH_SOURCES_NAME.to_string()),
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arguments: Some(call_text),
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}),
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};
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resp.choices[0] = ChatChoiceStream {
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index: 0,
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#[allow(deprecated)]
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delta: ChatCompletionStreamResponseDelta {
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content: None,
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function_call: None,
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tool_calls: Some(vec![tool_call]),
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role: Some(Role::Assistant),
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refusal: None,
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},
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finish_reason: None,
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logprobs: None,
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};
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self.send_json(&resp).await
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}
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pub async fn forward_response(
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&self,
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resp: &CreateChatCompletionStreamResponse,
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) -> Result<(), SendError<Event>> {
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self.send_json(resp).await
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}
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pub async fn send_error(&self, error: &StreamErrorEvent) -> Result<(), SendError<Event>> {
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self.send_json(error).await
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}
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pub async fn stop(self) -> Result<(), SendError<Event>> {
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self.0.send(Event::Data(sse::Data::new("[DONE]"))).await
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}
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async fn send_json<S: Serialize>(&self, data: &S) -> Result<(), SendError<Event>> {
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self.0.send(Event::Data(sse::Data::new_json(data).unwrap())).await
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}
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}
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/// Format documents based on the provided template and maximum bytes.
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///
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/// This formatting function is usually used to generate a summary of the documents for LLMs.
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pub fn format_documents<'t, 'doc>(
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rtxn: &RoTxn<'t>,
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index: &Index,
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doc_alloc: &'doc Bump,
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internal_docids: Vec<DocumentId>,
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) -> Result<Vec<&'doc str>, ResponseError> {
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let ChatConfig { prompt: PromptData { template, max_bytes }, .. } = index.chat_config(rtxn)?;
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let prompt = Prompt::new(template, max_bytes).unwrap();
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let fid_map = index.fields_ids_map(rtxn)?;
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let metadata_builder = MetadataBuilder::from_index(index, rtxn)?;
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let fid_map_with_meta = FieldIdMapWithMetadata::new(fid_map.clone(), metadata_builder);
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let global = RwLock::new(fid_map_with_meta);
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let gfid_map = RefCell::new(GlobalFieldsIdsMap::new(&global));
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let external_ids: Vec<String> = index
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.external_id_of(rtxn, internal_docids.iter().copied())?
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.into_iter()
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.collect::<Result<_, _>>()?;
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let mut renders = Vec::new();
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for (docid, external_docid) in internal_docids.into_iter().zip(external_ids) {
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let document = match DocumentFromDb::new(docid, rtxn, index, &fid_map)? {
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Some(doc) => doc,
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None => continue,
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};
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let text = prompt.render_document(&external_docid, document, &gfid_map, doc_alloc).unwrap();
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renders.push(text);
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}
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Ok(renders)
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}
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