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This commit is contained in:
wehub-resource-sync
2026-07-13 12:08:12 +08:00
commit e115934061
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const manage = require('./manage');
module.exports = {
...manage,
};
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const path = require('path');
const { v4 } = require('uuid');
const { countTokens } = require('@librechat/api');
const { escapeRegExp } = require('@librechat/data-schemas');
const {
Constants,
ContentTypes,
AnnotationTypes,
defaultOrderQuery,
} = require('librechat-data-provider');
const { recordMessage, getMessages, spendTokens, saveConvo } = require('~/models');
const { retrieveAndProcessFile } = require('~/server/services/Files/process');
/**
* Initializes a new thread or adds messages to an existing thread.
*
* @param {Object} params - The parameters for initializing a thread.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {Object} params.body - The body of the request.
* @param {ThreadMessage[]} params.body.messages - A list of messages to start the thread with.
* @param {Object} [params.body.metadata] - Optional metadata for the thread.
* @param {string} [params.thread_id] - Optional existing thread ID. If provided, a message will be added to this thread.
* @return {Promise<Thread>} A promise that resolves to the newly created thread object or the updated thread object.
*/
async function initThread({ openai, body, thread_id: _thread_id }) {
let thread = {};
const messages = [];
if (_thread_id) {
const message = await openai.beta.threads.messages.create(_thread_id, body.messages[0]);
messages.push(message);
} else {
thread = await openai.beta.threads.create(body);
}
const thread_id = _thread_id || thread.id;
return { messages, thread_id, ...thread };
}
/**
* Saves a user message to the DB in the Assistants endpoint format.
*
* @param {Object} req - The request object.
* @param {Object} params - The parameters of the user message
* @param {string} params.user - The user's ID.
* @param {string} params.text - The user's prompt.
* @param {string} params.messageId - The user message Id.
* @param {string} params.model - The model used by the assistant.
* @param {string} params.assistant_id - The current assistant Id.
* @param {string} params.thread_id - The thread Id.
* @param {string} params.conversationId - The message's conversationId
* @param {string} params.endpoint - The conversation endpoint
* @param {string} [params.parentMessageId] - Optional if initial message.
* Defaults to Constants.NO_PARENT.
* @param {string} [params.instructions] - Optional: from preset for `instructions` field.
* Overrides the instructions of the assistant.
* @param {string} [params.promptPrefix] - Optional: from preset for `additional_instructions` field.
* @param {import('librechat-data-provider').TFile[]} [params.files] - Optional. List of Attached File Objects.
* @param {string[]} [params.file_ids] - Optional. List of File IDs attached to the userMessage.
* @return {Promise<Run>} A promise that resolves to the created run object.
*/
async function saveUserMessage(req, params) {
const tokenCount = await countTokens(params.text);
const userMessage = {
user: params.user,
endpoint: params.endpoint,
messageId: params.messageId,
conversationId: params.conversationId,
parentMessageId: params.parentMessageId ?? Constants.NO_PARENT,
/* For messages, use the assistant_id instead of model */
model: params.assistant_id,
thread_id: params.thread_id,
sender: 'User',
text: params.text,
isCreatedByUser: true,
tokenCount,
};
const convo = {
endpoint: params.endpoint,
conversationId: params.conversationId,
promptPrefix: params.promptPrefix,
instructions: params.instructions,
assistant_id: params.assistant_id,
model: params.model,
};
if (params.files?.length) {
userMessage.files = params.files.map(({ file_id }) => ({ file_id }));
convo.file_ids = params.file_ids;
}
const message = await recordMessage(userMessage);
await saveConvo(
{
userId: req?.user?.id,
isTemporary: req?.body?.isTemporary,
interfaceConfig: req?.config?.interfaceConfig,
},
convo,
{ context: 'api/server/services/Threads/manage.js #saveUserMessage' },
);
return message;
}
/**
* Saves an Assistant message to the DB in the Assistants endpoint format.
*
* @param {Object} req - The request object.
* @param {Object} params - The parameters of the Assistant message
* @param {string} params.user - The user's ID.
* @param {string} params.messageId - The message Id.
* @param {string} params.text - The concatenated text of the message.
* @param {string} params.assistant_id - The assistant Id.
* @param {string} params.thread_id - The thread Id.
* @param {string} params.model - The model used by the assistant.
* @param {ContentPart[]} params.content - The message content parts.
* @param {string} params.conversationId - The message's conversationId
* @param {string} params.endpoint - The conversation endpoint
* @param {string} params.parentMessageId - The latest user message that triggered this response.
* @param {string} [params.instructions] - Optional: from preset for `instructions` field.
* @param {string} [params.spec] - Optional: Model spec identifier.
* @param {string} [params.iconURL]
* Overrides the instructions of the assistant.
* @param {string} [params.promptPrefix] - Optional: from preset for `additional_instructions` field.
* @return {Promise<Run>} A promise that resolves to the created run object.
*/
async function saveAssistantMessage(req, params) {
// const tokenCount = // TODO: need to count each content part
const message = await recordMessage({
user: params.user,
endpoint: params.endpoint,
messageId: params.messageId,
conversationId: params.conversationId,
parentMessageId: params.parentMessageId,
thread_id: params.thread_id,
/* For messages, use the assistant_id instead of model */
model: params.assistant_id,
content: params.content,
sender: 'Assistant',
isCreatedByUser: false,
text: params.text,
unfinished: false,
// tokenCount,
iconURL: params.iconURL,
spec: params.spec,
});
await saveConvo(
{
userId: req?.user?.id,
isTemporary: req?.body?.isTemporary,
interfaceConfig: req?.config?.interfaceConfig,
},
{
endpoint: params.endpoint,
conversationId: params.conversationId,
promptPrefix: params.promptPrefix,
instructions: params.instructions,
assistant_id: params.assistant_id,
model: params.model,
iconURL: params.iconURL,
spec: params.spec,
},
{ context: 'api/server/services/Threads/manage.js #saveAssistantMessage' },
);
return message;
}
/**
* Records LibreChat messageId to all response messages' metadata
*
* @param {Object} params - The parameters for initializing a thread.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {string} params.thread_id - Response thread ID.
* @param {string} params.messageId - The response `messageId` generated by LibreChat.
* @param {StepMessage[] | Message[]} params.messages - A list of messages to start the thread with.
* @return {Promise<ThreadMessage[]>} A promise that resolves to the updated messages
*/
async function addThreadMetadata({ openai, thread_id, messageId, messages }) {
const promises = [];
for (const message of messages) {
promises.push(
openai.beta.threads.messages.update(message.id, {
thread_id,
metadata: {
messageId,
},
}),
);
}
return await Promise.all(promises);
}
/**
* Synchronizes LibreChat messages to Thread Messages.
* Updates the LibreChat DB with any missing Thread Messages and
* updates the missing Thread Messages' metadata with their corresponding db messageId's.
*
* Also updates the existing conversation's file_ids with any new file_ids.
*
* @param {Object} params - The parameters for synchronizing messages.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {string} params.endpoint - The current endpoint.
* @param {string} params.thread_id - The current thread ID.
* @param {TMessage[]} params.dbMessages - The LibreChat DB messages.
* @param {ThreadMessage[]} params.apiMessages - The thread messages from the API.
* @param {string} [params.assistant_id] - The current assistant ID.
* @param {string} params.conversationId - The current conversation ID.
* @return {Promise<TMessage[]>} A promise that resolves to the updated messages
*/
async function syncMessages({
openai,
endpoint,
thread_id,
dbMessages,
apiMessages,
assistant_id,
conversationId,
}) {
let result = [];
let dbMessageMap = new Map(dbMessages.map((msg) => [msg.messageId, msg]));
const modifyPromises = [];
const recordPromises = [];
/**
*
* Modify API message and save newMessage to DB
*
* @param {Object} params - The parameters object
* @param {TMessage} params.dbMessage
* @param {dbMessage} params.apiMessage
*/
const processNewMessage = async ({ dbMessage, apiMessage }) => {
recordPromises.push(recordMessage({ ...dbMessage, user: openai.req.user.id }));
if (!apiMessage.id.includes('msg_')) {
return;
}
if (dbMessage.aggregateMessages?.length > 1) {
modifyPromises.push(
addThreadMetadata({
openai,
thread_id,
messageId: dbMessage.messageId,
messages: dbMessage.aggregateMessages,
}),
);
return;
}
modifyPromises.push(
openai.beta.threads.messages.update(apiMessage.id, {
thread_id,
metadata: {
messageId: dbMessage.messageId,
},
}),
);
};
let lastMessage = null;
for (let i = 0; i < apiMessages.length; i++) {
const apiMessage = apiMessages[i];
// Check if the message exists in the database based on metadata
const dbMessageId = apiMessage.metadata && apiMessage.metadata.messageId;
let dbMessage = dbMessageMap.get(dbMessageId);
if (dbMessage) {
// If message exists in DB, use its messageId and update parentMessageId
dbMessage.parentMessageId = lastMessage ? lastMessage.messageId : Constants.NO_PARENT;
lastMessage = dbMessage;
result.push(dbMessage);
continue;
}
if (apiMessage.role === 'assistant' && lastMessage && lastMessage.role === 'assistant') {
// Aggregate assistant messages
lastMessage.content = [...lastMessage.content, ...apiMessage.content];
lastMessage.files = [...(lastMessage.files ?? []), ...(apiMessage.files ?? [])];
lastMessage.aggregateMessages.push({ id: apiMessage.id });
} else {
// Handle new or missing message
const newMessage = {
thread_id,
conversationId,
messageId: v4(),
endpoint,
parentMessageId: lastMessage ? lastMessage.messageId : Constants.NO_PARENT,
role: apiMessage.role,
isCreatedByUser: apiMessage.role === 'user',
// TODO: process generated files in content parts
content: apiMessage.content,
aggregateMessages: [{ id: apiMessage.id }],
model: apiMessage.role === 'user' ? null : apiMessage.assistant_id,
user: openai.req.user.id,
unfinished: false,
};
if (apiMessage.file_ids?.length) {
// TODO: retrieve file objects from API
newMessage.files = apiMessage.file_ids.map((file_id) => ({ file_id }));
}
/* Assign assistant_id if defined */
if (assistant_id && apiMessage.role === 'assistant' && !newMessage.model) {
apiMessage.model = assistant_id;
newMessage.model = assistant_id;
}
result.push(newMessage);
lastMessage = newMessage;
if (apiMessage.role === 'user') {
processNewMessage({ dbMessage: newMessage, apiMessage });
continue;
}
}
const nextMessage = apiMessages[i + 1];
const processAssistant = !nextMessage || nextMessage.role === 'user';
if (apiMessage.role === 'assistant' && processAssistant) {
processNewMessage({ dbMessage: lastMessage, apiMessage });
}
}
const attached_file_ids = apiMessages.reduce((acc, msg) => {
if (msg.role === 'user' && msg.file_ids?.length) {
return [...acc, ...msg.file_ids];
}
return acc;
}, []);
await Promise.all(modifyPromises);
await Promise.all(recordPromises);
await saveConvo(
{
userId: openai.req?.user?.id,
isTemporary: openai.req?.body?.isTemporary,
interfaceConfig: openai.req?.config?.interfaceConfig,
},
{
conversationId,
file_ids: attached_file_ids,
},
{ context: 'api/server/services/Threads/manage.js #syncMessages' },
);
return result;
}
/**
* Maps messages to their corresponding steps. Steps with message creation will be paired with their messages,
* while steps without message creation will be returned as is.
*
* @param {RunStep[]} steps - An array of steps from the run.
* @param {Message[]} messages - An array of message objects.
* @returns {(StepMessage | RunStep)[]} An array where each element is either a step with its corresponding message (StepMessage) or a step without a message (RunStep).
*/
function mapMessagesToSteps(steps, messages) {
// Create a map of messages indexed by their IDs for efficient lookup
const messageMap = messages.reduce((acc, msg) => {
acc[msg.id] = msg;
return acc;
}, {});
// Map each step to its corresponding message, or return the step as is if no message ID is present
return steps
.sort((a, b) => a.created_at - b.created_at)
.map((step) => {
const messageId = step.step_details?.message_creation?.message_id;
if (messageId && messageMap[messageId]) {
return { step, message: messageMap[messageId] };
}
return step;
});
}
/**
* Checks for any missing messages; if missing,
* synchronizes LibreChat messages to Thread Messages
*
* @param {Object} params - The parameters for initializing a thread.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {string} params.endpoint - The current endpoint.
* @param {string} [params.latestMessageId] - Optional: The latest message ID from LibreChat.
* @param {string} params.thread_id - Response thread ID.
* @param {string} params.run_id - Response Run ID.
* @param {string} params.conversationId - LibreChat conversation ID.
* @return {Promise<TMessage[]>} A promise that resolves to the updated messages
*/
async function checkMessageGaps({
openai,
endpoint,
latestMessageId,
thread_id,
run_id,
conversationId,
}) {
const promises = [];
promises.push(openai.beta.threads.messages.list(thread_id, defaultOrderQuery));
promises.push(openai.beta.threads.runs.steps.list(run_id, { thread_id }));
/** @type {[{ data: ThreadMessage[] }, { data: RunStep[] }]} */
const [response, stepsResponse] = await Promise.all(promises);
const steps = mapMessagesToSteps(stepsResponse.data, response.data);
/** @type {ThreadMessage} */
const currentMessage = {
id: v4(),
content: [],
assistant_id: null,
created_at: Math.floor(new Date().getTime() / 1000),
object: 'thread.message',
role: 'assistant',
run_id,
thread_id,
endpoint,
metadata: {
messageId: latestMessageId,
},
};
for (const step of steps) {
if (!currentMessage.assistant_id && step.assistant_id) {
currentMessage.assistant_id = step.assistant_id;
}
if (step.message) {
currentMessage.id = step.message.id;
currentMessage.created_at = step.message.created_at;
currentMessage.content = currentMessage.content.concat(step.message.content);
} else if (step.step_details?.type === 'tool_calls' && step.step_details?.tool_calls?.length) {
currentMessage.content = currentMessage.content.concat(
step.step_details?.tool_calls.map((toolCall) => ({
[ContentTypes.TOOL_CALL]: {
...toolCall,
progress: 2,
},
type: ContentTypes.TOOL_CALL,
})),
);
}
}
let addedCurrentMessage = false;
const apiMessages = response.data
.map((msg) => {
if (msg.id === currentMessage.id) {
addedCurrentMessage = true;
return currentMessage;
}
return msg;
})
.sort((a, b) => new Date(a.created_at) - new Date(b.created_at));
if (!addedCurrentMessage) {
apiMessages.push(currentMessage);
}
const dbMessages = await getMessages({ conversationId, user: openai.req.user.id });
const assistant_id = dbMessages?.[0]?.model;
const syncedMessages = await syncMessages({
openai,
endpoint,
thread_id,
dbMessages,
apiMessages,
assistant_id,
conversationId,
});
return Object.values(
[...dbMessages, ...syncedMessages].reduce(
(acc, message) => ({ ...acc, [message.messageId]: message }),
{},
),
);
}
/**
* Records token usage for a given completion request.
* @param {Object} params - The parameters for initializing a thread.
* @param {number} params.prompt_tokens - The number of prompt tokens used.
* @param {number} params.completion_tokens - The number of completion tokens used.
* @param {string} params.model - The model used by the assistant run.
* @param {string} params.user - The user's ID.
* @param {string} params.conversationId - LibreChat conversation ID.
* @param {string} [params.context='message'] - The context of the usage. Defaults to 'message'.
* @return {Promise<TMessage[]>} A promise that resolves to the updated messages
*/
const recordUsage = async ({
prompt_tokens,
completion_tokens,
model,
user,
conversationId,
context = 'message',
}) => {
await spendTokens(
{
user,
model,
context,
conversationId,
},
{ promptTokens: prompt_tokens, completionTokens: completion_tokens },
);
};
const uniqueCitationStart = '^====||===';
const uniqueCitationEnd = '==|||||^';
/**
* Sorts, processes, and flattens messages to a single string.
*
* @param {object} params - The parameters for processing messages.
* @param {OpenAIClient} params.openai - The OpenAI client instance.
* @param {RunClient} params.client - The LibreChat client that manages the run: either refers to `OpenAI` or `StreamRunManager`.
* @param {ThreadMessage[]} params.messages - An array of messages.
* @returns {Promise<{messages: ThreadMessage[], text: string, edited: boolean}>} The sorted messages, the flattened text, and whether it was edited.
*/
async function processMessages({ openai, client, messages = [] }) {
const sorted = messages.sort((a, b) => a.created_at - b.created_at);
let text = '';
let edited = false;
const sources = new Map();
const fileRetrievalPromises = [];
for (const message of sorted) {
message.files = [];
for (const content of message.content) {
const type = content.type;
const contentType = content[type];
const currentFileId = contentType?.file_id;
if (type === ContentTypes.IMAGE_FILE && !client.processedFileIds.has(currentFileId)) {
fileRetrievalPromises.push(
retrieveAndProcessFile({
openai,
client,
file_id: currentFileId,
basename: `${currentFileId}.png`,
})
.then((file) => {
client.processedFileIds.add(currentFileId);
message.files.push(file);
})
.catch((error) => {
console.error(`Failed to retrieve file: ${error.message}`);
}),
);
continue;
}
let currentText = contentType?.value ?? '';
/** @type {{ annotations: Annotation[] }} */
const { annotations } = contentType ?? {};
if (!annotations?.length) {
text += currentText;
continue;
}
const replacements = [];
const annotationPromises = annotations.map(async (annotation) => {
const type = annotation.type;
const annotationType = annotation[type];
const file_id = annotationType?.file_id;
const alreadyProcessed = client.processedFileIds.has(file_id);
let file;
let replacementText = '';
try {
if (alreadyProcessed) {
file = await retrieveAndProcessFile({ openai, client, file_id, unknownType: true });
} else if (type === AnnotationTypes.FILE_PATH) {
const basename = path.basename(annotation.text);
file = await retrieveAndProcessFile({
openai,
client,
file_id,
basename,
});
replacementText = file.filepath;
} else if (type === AnnotationTypes.FILE_CITATION && file_id) {
file = await retrieveAndProcessFile({
openai,
client,
file_id,
unknownType: true,
});
if (file && file.filename) {
if (!sources.has(file.filename)) {
sources.set(file.filename, sources.size + 1);
}
replacementText = `${uniqueCitationStart}${sources.get(
file.filename,
)}${uniqueCitationEnd}`;
}
}
if (file && replacementText) {
replacements.push({
start: annotation.start_index,
end: annotation.end_index,
text: replacementText,
});
edited = true;
if (!alreadyProcessed) {
client.processedFileIds.add(file_id);
message.files.push(file);
}
}
} catch (error) {
console.error(`Failed to process annotation: ${error.message}`);
}
});
await Promise.all(annotationPromises);
// Apply replacements in reverse order
replacements.sort((a, b) => b.start - a.start);
for (const { start, end, text: replacementText } of replacements) {
currentText = currentText.slice(0, start) + replacementText + currentText.slice(end);
}
text += currentText;
}
}
await Promise.all(fileRetrievalPromises);
// Handle adjacent identical citations with the unique format
const adjacentCitationRegex = new RegExp(
`${escapeRegExp(uniqueCitationStart)}(\\d+)${escapeRegExp(
uniqueCitationEnd,
)}(\\s*)${escapeRegExp(uniqueCitationStart)}(\\d+)${escapeRegExp(uniqueCitationEnd)}`,
'g',
);
text = text.replace(adjacentCitationRegex, (match, num1, space, num2) => {
return num1 === num2
? `${uniqueCitationStart}${num1}${uniqueCitationEnd}`
: `${uniqueCitationStart}${num1}${uniqueCitationEnd}${space}${uniqueCitationStart}${num2}${uniqueCitationEnd}`;
});
// Remove any remaining adjacent identical citations
const remainingAdjacentRegex = new RegExp(
`(${escapeRegExp(uniqueCitationStart)}(\\d+)${escapeRegExp(uniqueCitationEnd)})\\s*\\1+`,
'g',
);
text = text.replace(remainingAdjacentRegex, '$1');
// Replace the unique citation format with the final format
text = text.replace(new RegExp(escapeRegExp(uniqueCitationStart), 'g'), '^');
text = text.replace(new RegExp(escapeRegExp(uniqueCitationEnd), 'g'), '^');
if (sources.size) {
text += '\n\n';
Array.from(sources.entries()).forEach(([source, index], arrayIndex) => {
text += `^${index}.^ ${source}${arrayIndex === sources.size - 1 ? '' : '\n'}`;
});
}
return { messages: sorted, text, edited };
}
module.exports = {
initThread,
recordUsage,
processMessages,
saveUserMessage,
checkMessageGaps,
addThreadMetadata,
mapMessagesToSteps,
saveAssistantMessage,
};
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const { retrieveAndProcessFile } = require('~/server/services/Files/process');
const { processMessages } = require('./manage');
jest.mock('~/server/services/Files/process', () => ({
retrieveAndProcessFile: jest.fn(),
}));
describe('processMessages', () => {
let openai, client;
beforeEach(() => {
openai = {};
client = {
processedFileIds: new Set(),
};
jest.clearAllMocks();
retrieveAndProcessFile.mockReset();
});
test('handles normal case with single source', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This is a test ^1^ and another^1^',
annotations: [
{
type: 'file_citation',
start_index: 15,
end_index: 18,
file_citation: { file_id: 'file1' },
},
{
type: 'file_citation',
start_index: 30,
end_index: 33,
file_citation: { file_id: 'file1' },
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockResolvedValue({ filename: 'test.txt' });
const result = await processMessages({ openai, client, messages });
expect(result.text).toBe('This is a test ^1^ and another^1^\n\n^1.^ test.txt');
expect(result.edited).toBe(true);
});
test('handles multiple different sources', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This is a test ^1^ and another^2^',
annotations: [
{
type: 'file_citation',
start_index: 15,
end_index: 18,
file_citation: { file_id: 'file1' },
},
{
type: 'file_citation',
start_index: 30,
end_index: 33,
file_citation: { file_id: 'file2' },
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile
.mockResolvedValueOnce({ filename: 'test1.txt' })
.mockResolvedValueOnce({ filename: 'test2.txt' });
const result = await processMessages({ openai, client, messages });
expect(result.text).toBe('This is a test ^1^ and another^2^\n\n^1.^ test1.txt\n^2.^ test2.txt');
expect(result.edited).toBe(true);
});
test('handles file retrieval failure', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This is a test ^1^',
annotations: [
{
type: 'file_citation',
start_index: 15,
end_index: 18,
file_citation: { file_id: 'file1' },
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockRejectedValue(new Error('File not found'));
const result = await processMessages({ openai, client, messages });
expect(result.text).toBe('This is a test ^1^');
expect(result.edited).toBe(false);
});
test('handles citations without file ids', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This is a test ^1^',
annotations: [{ type: 'file_citation', start_index: 15, end_index: 18 }],
},
},
],
created_at: 1,
},
];
const result = await processMessages({ openai, client, messages });
expect(result.text).toBe('This is a test ^1^');
expect(result.edited).toBe(false);
});
test('handles mixed valid and invalid citations', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This is a test ^1^ and ^2^ and ^3^',
annotations: [
{
type: 'file_citation',
start_index: 15,
end_index: 18,
file_citation: { file_id: 'file1' },
},
{ type: 'file_citation', start_index: 23, end_index: 26 },
{
type: 'file_citation',
start_index: 31,
end_index: 34,
file_citation: { file_id: 'file3' },
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile
.mockResolvedValueOnce({ filename: 'test1.txt' })
.mockResolvedValueOnce({ filename: 'test3.txt' });
const result = await processMessages({ openai, client, messages });
expect(result.text).toBe(
'This is a test ^1^ and ^2^ and ^2^\n\n^1.^ test1.txt\n^2.^ test3.txt',
);
expect(result.edited).toBe(true);
});
test('handles adjacent identical citations', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This is a test ^1^^1^ and ^1^ ^1^',
annotations: [
{
type: 'file_citation',
start_index: 15,
end_index: 18,
file_citation: { file_id: 'file1' },
},
{
type: 'file_citation',
start_index: 18,
end_index: 21,
file_citation: { file_id: 'file1' },
},
{
type: 'file_citation',
start_index: 26,
end_index: 29,
file_citation: { file_id: 'file1' },
},
{
type: 'file_citation',
start_index: 30,
end_index: 33,
file_citation: { file_id: 'file1' },
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockResolvedValue({ filename: 'test.txt' });
const result = await processMessages({ openai, client, messages });
expect(result.text).toBe('This is a test ^1^ and ^1^\n\n^1.^ test.txt');
expect(result.edited).toBe(true);
});
test('handles real data with multiple adjacent citations', async () => {
const messages = [
{
id: 'msg_XXXXXXXXXXXXXXXXXXXX',
object: 'thread.message',
created_at: 1722980324,
assistant_id: 'asst_XXXXXXXXXXXXXXXXXXXX',
thread_id: 'thread_XXXXXXXXXXXXXXXXXXXX',
run_id: 'run_XXXXXXXXXXXXXXXXXXXX',
status: 'completed',
incomplete_details: null,
incomplete_at: null,
completed_at: 1722980331,
role: 'assistant',
content: [
{
type: 'text',
text: {
value:
"The text you have uploaded is from the book \"Harry Potter and the Philosopher's Stone\" by J.K. Rowling. It follows the story of a young boy named Harry Potter who discovers that he is a wizard on his eleventh birthday. Here are some key points of the narrative:\n\n1. **Discovery and Invitation to Hogwarts**: Harry learns that he is a wizard and receives an invitation to attend Hogwarts School of Witchcraft and Wizardry【11:2†source】【11:4†source】.\n\n2. **Shopping for Supplies**: Hagrid takes Harry to Diagon Alley to buy his school supplies, including his wand from Ollivander's【11:9†source】【11:14†source】.\n\n3. **Introduction to Hogwarts**: Harry is introduced to Hogwarts, the magical school where he will learn about magic and discover more about his own background【11:12†source】【11:18†source】.\n\n4. **Meeting Friends and Enemies**: At Hogwarts, Harry makes friends like Ron Weasley and Hermione Granger, and enemies like Draco Malfoy【11:16†source】.\n\n5. **Uncovering the Mystery**: Harry, along with Ron and Hermione, uncovers the mystery of the Philosopher's Stone and its connection to the dark wizard Voldemort【11:1†source】【11:10†source】【11:7†source】.\n\nThese points highlight Harry's initial experiences in the magical world and set the stage for his adventures at Hogwarts.",
annotations: [
{
type: 'file_citation',
text: '【11:2†source】',
start_index: 420,
end_index: 433,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:4†source】',
start_index: 433,
end_index: 446,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:9†source】',
start_index: 578,
end_index: 591,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:14†source】',
start_index: 591,
end_index: 605,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:12†source】',
start_index: 767,
end_index: 781,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:18†source】',
start_index: 781,
end_index: 795,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:16†source】',
start_index: 935,
end_index: 949,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:1†source】',
start_index: 1114,
end_index: 1127,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:10†source】',
start_index: 1127,
end_index: 1141,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:7†source】',
start_index: 1141,
end_index: 1154,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
],
},
},
],
attachments: [],
metadata: {},
files: [
{
object: 'file',
id: 'file-XXXXXXXXXXXXXXXXXXXX',
purpose: 'assistants',
filename: 'hp1.txt',
bytes: 439742,
created_at: 1722962139,
status: 'processed',
status_details: null,
type: 'text/plain',
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-XXXXXXXXXXXXXXXXXXXX/hp1.txt',
usage: 1,
user: 'XXXXXXXXXXXXXXXXXXXX',
context: 'assistants',
source: 'openai',
model: 'gpt-4o',
},
],
},
];
retrieveAndProcessFile.mockResolvedValue({ filename: 'hp1.txt' });
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText = `The text you have uploaded is from the book "Harry Potter and the Philosopher's Stone" by J.K. Rowling. It follows the story of a young boy named Harry Potter who discovers that he is a wizard on his eleventh birthday. Here are some key points of the narrative:
1. **Discovery and Invitation to Hogwarts**: Harry learns that he is a wizard and receives an invitation to attend Hogwarts School of Witchcraft and Wizardry^1^.
2. **Shopping for Supplies**: Hagrid takes Harry to Diagon Alley to buy his school supplies, including his wand from Ollivander's^1^.
3. **Introduction to Hogwarts**: Harry is introduced to Hogwarts, the magical school where he will learn about magic and discover more about his own background^1^.
4. **Meeting Friends and Enemies**: At Hogwarts, Harry makes friends like Ron Weasley and Hermione Granger, and enemies like Draco Malfoy^1^.
5. **Uncovering the Mystery**: Harry, along with Ron and Hermione, uncovers the mystery of the Philosopher's Stone and its connection to the dark wizard Voldemort^1^.
These points highlight Harry's initial experiences in the magical world and set the stage for his adventures at Hogwarts.
^1.^ hp1.txt`;
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
test('handles real data with multiple adjacent citations with multiple sources', async () => {
const messages = [
{
id: 'msg_XXXXXXXXXXXXXXXXXXXX',
object: 'thread.message',
created_at: 1722980324,
assistant_id: 'asst_XXXXXXXXXXXXXXXXXXXX',
thread_id: 'thread_XXXXXXXXXXXXXXXXXXXX',
run_id: 'run_XXXXXXXXXXXXXXXXXXXX',
status: 'completed',
incomplete_details: null,
incomplete_at: null,
completed_at: 1722980331,
role: 'assistant',
content: [
{
type: 'text',
text: {
value:
"The text you have uploaded is from the book \"Harry Potter and the Philosopher's Stone\" by J.K. Rowling. It follows the story of a young boy named Harry Potter who discovers that he is a wizard on his eleventh birthday. Here are some key points of the narrative:\n\n1. **Discovery and Invitation to Hogwarts**: Harry learns that he is a wizard and receives an invitation to attend Hogwarts School of Witchcraft and Wizardry【11:2†source】【11:4†source】.\n\n2. **Shopping for Supplies**: Hagrid takes Harry to Diagon Alley to buy his school supplies, including his wand from Ollivander's【11:9†source】【11:14†source】.\n\n3. **Introduction to Hogwarts**: Harry is introduced to Hogwarts, the magical school where he will learn about magic and discover more about his own background【11:12†source】【11:18†source】.\n\n4. **Meeting Friends and Enemies**: At Hogwarts, Harry makes friends like Ron Weasley and Hermione Granger, and enemies like Draco Malfoy【11:16†source】.\n\n5. **Uncovering the Mystery**: Harry, along with Ron and Hermione, uncovers the mystery of the Philosopher's Stone and its connection to the dark wizard Voldemort【11:1†source】【11:10†source】【11:7†source】.\n\nThese points highlight Harry's initial experiences in the magical world and set the stage for his adventures at Hogwarts.",
annotations: [
{
type: 'file_citation',
text: '【11:2†source】',
start_index: 420,
end_index: 433,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:4†source】',
start_index: 433,
end_index: 446,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:9†source】',
start_index: 578,
end_index: 591,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:14†source】',
start_index: 591,
end_index: 605,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:12†source】',
start_index: 767,
end_index: 781,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:18†source】',
start_index: 781,
end_index: 795,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:16†source】',
start_index: 935,
end_index: 949,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:1†source】',
start_index: 1114,
end_index: 1127,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:10†source】',
start_index: 1127,
end_index: 1141,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_citation',
text: '【11:7†source】',
start_index: 1141,
end_index: 1154,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
],
},
},
],
attachments: [],
metadata: {},
files: [
{
object: 'file',
id: 'file-XXXXXXXXXXXXXXXXXXXX',
purpose: 'assistants',
filename: 'hp1.txt',
bytes: 439742,
created_at: 1722962139,
status: 'processed',
status_details: null,
type: 'text/plain',
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-XXXXXXXXXXXXXXXXXXXX/hp1.txt',
usage: 1,
user: 'XXXXXXXXXXXXXXXXXXXX',
context: 'assistants',
source: 'openai',
model: 'gpt-4o',
},
],
},
];
retrieveAndProcessFile.mockResolvedValue({ filename: 'hp1.txt' });
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText = `The text you have uploaded is from the book "Harry Potter and the Philosopher's Stone" by J.K. Rowling. It follows the story of a young boy named Harry Potter who discovers that he is a wizard on his eleventh birthday. Here are some key points of the narrative:
1. **Discovery and Invitation to Hogwarts**: Harry learns that he is a wizard and receives an invitation to attend Hogwarts School of Witchcraft and Wizardry^1^.
2. **Shopping for Supplies**: Hagrid takes Harry to Diagon Alley to buy his school supplies, including his wand from Ollivander's^1^.
3. **Introduction to Hogwarts**: Harry is introduced to Hogwarts, the magical school where he will learn about magic and discover more about his own background^1^.
4. **Meeting Friends and Enemies**: At Hogwarts, Harry makes friends like Ron Weasley and Hermione Granger, and enemies like Draco Malfoy^1^.
5. **Uncovering the Mystery**: Harry, along with Ron and Hermione, uncovers the mystery of the Philosopher's Stone and its connection to the dark wizard Voldemort^1^.
These points highlight Harry's initial experiences in the magical world and set the stage for his adventures at Hogwarts.
^1.^ hp1.txt`;
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
test('handles edge case with pre-existing citation-like text', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value:
"This is a test ^1^ with pre-existing citation-like text. Here's a real citation【11:2†source】.",
annotations: [
{
type: 'file_citation',
text: '【11:2†source】',
start_index: 79,
end_index: 92,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockResolvedValue({ filename: 'test.txt' });
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText =
"This is a test ^1^ with pre-existing citation-like text. Here's a real citation^1^.\n\n^1.^ test.txt";
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
test('handles FILE_PATH annotation type', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'Here is a file path: [file_path]',
annotations: [
{
type: 'file_path',
text: '[file_path]',
start_index: 21,
end_index: 32,
file_path: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockResolvedValue({
filename: 'test.txt',
filepath: '/path/to/test.txt',
});
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText = 'Here is a file path: /path/to/test.txt';
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
test('handles FILE_CITATION annotation type', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'Here is a citation: [citation]',
annotations: [
{
type: 'file_citation',
text: '[citation]',
start_index: 20,
end_index: 30,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockResolvedValue({ filename: 'test.txt' });
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText = 'Here is a citation: ^1^\n\n^1.^ test.txt';
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
test('handles multiple annotation types in a single message', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value:
'File path: [file_path]. Citation: [citation1]. Another citation: [citation2].',
annotations: [
{
type: 'file_path',
text: '[file_path]',
start_index: 11,
end_index: 22,
file_path: {
file_id: 'file-XXXXXXXXXXXXXXXX1',
},
},
{
type: 'file_citation',
text: '[citation1]',
start_index: 34,
end_index: 45,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXX2',
},
},
{
type: 'file_citation',
text: '[citation2]',
start_index: 65,
end_index: 76,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXX3',
},
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockResolvedValueOnce({
filename: 'file1.txt',
filepath: '/path/to/file1.txt',
});
retrieveAndProcessFile.mockResolvedValueOnce({ filename: 'file2.txt' });
retrieveAndProcessFile.mockResolvedValueOnce({ filename: 'file3.txt' });
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText =
'File path: /path/to/file1.txt. Citation: ^1^. Another citation: ^2^.\n\n^1.^ file2.txt\n^2.^ file3.txt';
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
test('handles annotation processing failure', async () => {
const messages = [
{
content: [
{
type: 'text',
text: {
value: 'This citation will fail: [citation]',
annotations: [
{
type: 'file_citation',
text: '[citation]',
start_index: 25,
end_index: 35,
file_citation: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
],
},
},
],
created_at: 1,
},
];
retrieveAndProcessFile.mockRejectedValue(new Error('File not found'));
const result = await processMessages({
openai: {},
client: { processedFileIds: new Set() },
messages,
});
const expectedText = 'This citation will fail: [citation]';
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(false);
});
test('handles multiple FILE_PATH annotations with sandbox links', async () => {
const messages = [
{
id: 'msg_XXXXXXXXXXXXXXXXXXXX',
object: 'thread.message',
created_at: 1722983745,
assistant_id: 'asst_XXXXXXXXXXXXXXXXXXXX',
thread_id: 'thread_XXXXXXXXXXXXXXXXXXXX',
run_id: 'run_XXXXXXXXXXXXXXXXXXXX',
status: 'completed',
incomplete_details: null,
incomplete_at: null,
completed_at: 1722983747,
role: 'assistant',
content: [
{
type: 'text',
text: {
value:
'I have generated three dummy CSV files for you. You can download them using the links below:\n\n1. [Download Dummy Data 1](sandbox:/mnt/data/dummy_data1.csv)\n2. [Download Dummy Data 2](sandbox:/mnt/data/dummy_data2.csv)\n3. [Download Dummy Data 3](sandbox:/mnt/data/dummy_data3.csv)',
annotations: [
{
type: 'file_path',
text: 'sandbox:/mnt/data/dummy_data1.csv',
start_index: 121,
end_index: 154,
file_path: {
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
},
},
{
type: 'file_path',
text: 'sandbox:/mnt/data/dummy_data2.csv',
start_index: 183,
end_index: 216,
file_path: {
file_id: 'file-YYYYYYYYYYYYYYYYYYYY',
},
},
{
type: 'file_path',
text: 'sandbox:/mnt/data/dummy_data3.csv',
start_index: 245,
end_index: 278,
file_path: {
file_id: 'file-ZZZZZZZZZZZZZZZZZZZZ',
},
},
],
},
},
],
attachments: [
{
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
tools: [
{
type: 'code_interpreter',
},
],
},
{
file_id: 'file-YYYYYYYYYYYYYYYYYYYY',
tools: [
{
type: 'code_interpreter',
},
],
},
{
file_id: 'file-ZZZZZZZZZZZZZZZZZZZZ',
tools: [
{
type: 'code_interpreter',
},
],
},
],
metadata: {},
files: [
{
object: 'file',
id: 'file-XXXXXXXXXXXXXXXXXXXX',
purpose: 'assistants_output',
filename: 'dummy_data1.csv',
bytes: 1925,
created_at: 1722983746,
status: 'processed',
status_details: null,
type: 'text/csv',
file_id: 'file-XXXXXXXXXXXXXXXXXXXX',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-XXXXXXXXXXXXXXXXXXXX/dummy_data1.csv',
usage: 1,
user: 'XXXXXXXXXXXXXXXXXXXX',
context: 'assistants_output',
source: 'openai',
model: 'gpt-4o-mini',
},
{
object: 'file',
id: 'file-YYYYYYYYYYYYYYYYYYYY',
purpose: 'assistants_output',
filename: 'dummy_data2.csv',
bytes: 4221,
created_at: 1722983746,
status: 'processed',
status_details: null,
type: 'text/csv',
file_id: 'file-YYYYYYYYYYYYYYYYYYYY',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-YYYYYYYYYYYYYYYYYYYY/dummy_data2.csv',
usage: 1,
user: 'XXXXXXXXXXXXXXXXXXXX',
context: 'assistants_output',
source: 'openai',
model: 'gpt-4o-mini',
},
{
object: 'file',
id: 'file-ZZZZZZZZZZZZZZZZZZZZ',
purpose: 'assistants_output',
filename: 'dummy_data3.csv',
bytes: 3534,
created_at: 1722983747,
status: 'processed',
status_details: null,
type: 'text/csv',
file_id: 'file-ZZZZZZZZZZZZZZZZZZZZ',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-ZZZZZZZZZZZZZZZZZZZZ/dummy_data3.csv',
usage: 1,
user: 'XXXXXXXXXXXXXXXXXXXX',
context: 'assistants_output',
source: 'openai',
model: 'gpt-4o-mini',
},
],
},
];
const mockClient = {
processedFileIds: new Set(),
};
// Mock the retrieveAndProcessFile function for each file
retrieveAndProcessFile.mockImplementation(({ file_id }) => {
const fileMap = {
'file-XXXXXXXXXXXXXXXXXXXX': {
filename: 'dummy_data1.csv',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-XXXXXXXXXXXXXXXXXXXX/dummy_data1.csv',
},
'file-YYYYYYYYYYYYYYYYYYYY': {
filename: 'dummy_data2.csv',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-YYYYYYYYYYYYYYYYYYYY/dummy_data2.csv',
},
'file-ZZZZZZZZZZZZZZZZZZZZ': {
filename: 'dummy_data3.csv',
filepath:
'https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-ZZZZZZZZZZZZZZZZZZZZ/dummy_data3.csv',
},
};
return Promise.resolve(fileMap[file_id]);
});
const result = await processMessages({ openai: {}, client: mockClient, messages });
const expectedText =
'I have generated three dummy CSV files for you. You can download them using the links below:\n\n1. [Download Dummy Data 1](https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-XXXXXXXXXXXXXXXXXXXX/dummy_data1.csv)\n2. [Download Dummy Data 2](https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-YYYYYYYYYYYYYYYYYYYY/dummy_data2.csv)\n3. [Download Dummy Data 3](https://api.openai.com/v1/files/XXXXXXXXXXXXXXXXXXXX/file-ZZZZZZZZZZZZZZZZZZZZ/dummy_data3.csv)';
expect(result.text).toBe(expectedText);
expect(result.edited).toBe(true);
});
});