ensure scraped results actually enter AIs memory

This commit is contained in:
Raven 2024-08-03 17:50:12 -04:00
parent ae82fda49f
commit fd062bae78

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@ -7,7 +7,7 @@ import cheerio from 'cheerio';
import llamaTokenizer from 'llama-tokenizer-js';
import googleIt from 'google-it';
const prompt = process.env.PROMPT
const prompt = process.env.PROMPT;
const app = express();
const port = 3000;
@ -31,14 +31,12 @@ const getTimestamp = () => {
// Middleware to track conversation history by CF-Connecting-IP
app.use((req, res, next) => {
const ip = req.headers['x-forwarded-for-id'] || req.headers['cf-connecting-ip'] || req.headers['x-forwarded-for'] || req.headers['x-real-ip'] || req.ip;
const name = req.headers['x-forwarded-for-name']
const guild = req.headers['x-forwarded-for-guild']
const name = req.headers['x-forwarded-for-name'];
const guild = req.headers['x-forwarded-for-guild'];
req.clientIp = ip; // Store the IP in a request property
if (!conversationHistory[req.clientIp]) {
if (name) {
if (guild) {
console.log(`${getTimestamp()} [INFO] Incoming request from: ${req.clientIp} | ${name} within ${guild}`); // Log the IP address
@ -59,13 +57,11 @@ app.use((req, res, next) => {
console.log(`${getTimestamp()} [INFO] Incoming request from: ${req.clientIp}`); // Log the IP address
console.log(`${getTimestamp()} [INFO] Initializing conversation history for new IP: ${req.clientIp}`);
conversationHistory[req.clientIp] = {
conversationHistory[req.clientIp] = [{
role: 'system',
content: prompt
}
}];
}
}
next();
});
@ -282,7 +278,6 @@ app.post('/api/v1/chat', async (req, res) => {
content: "Fetched Info: " + response
});
console.log("A request for a new person was made. Response: " + response);
} else {
console.log('Failed to fetch random user.');
@ -305,10 +300,8 @@ app.post('/api/v1/chat', async (req, res) => {
}
}
const whatServersRegex = /\bwhat\s+servers\b/gi;
if (whatServersRegex.test(userMessage)) {
try {
const response = await fetch(`https://api.my-mc.link/list_all_servers/${process.env.PATH_KEY}/`, {
@ -332,7 +325,7 @@ app.post('/api/v1/chat', async (req, res) => {
conversationHistory[ip].push({
role: 'user',
content: "Fetched Info: " + response
content: "Fetched Info: " + responseMessage
});
console.log("A request for server information was made. Response: " + responseMessage);
@ -345,10 +338,8 @@ app.post('/api/v1/chat', async (req, res) => {
}
}
const myMcRegex = /\bmy-mc\b/gi;
if (myMcRegex.test(userMessage)) {
try {
const response = await fetch('https://my-mc.link/wiki.json');
@ -384,10 +375,8 @@ app.post('/api/v1/chat', async (req, res) => {
}
}
const dlinuxRegex = /\bdlinux\b/gi;
if (dlinuxRegex.test(userMessage)) {
try {
const response = await fetch('https://my-mc.link/dwiki.json');
@ -426,86 +415,116 @@ app.post('/api/v1/chat', async (req, res) => {
const searchRegex = /\b[Ss]earch\s+(.+)\b/;
const searchMatch = userMessage.match(searchRegex);
if (searchMatch) {
const searchQuery = searchMatch[1];
console.log(`${getTimestamp()} [INFO] Detected search query in user message: ${searchQuery}`);
const options = {
query: searchQuery,
limit: 5,
disableConsole: true
};
try {
googleIt(options).then(async results => {
let searchResponse = `Search Query: ${searchQuery}\n`;
searchResponse += `Top Google search results:\n`;
for (let i = 0; i < results.length; i++) {
const result = results[i];
searchResponse += `${i + 1}. ${result.title} - ${result.link}\n`;
try {
const scrapeResult = await scrapeWebPage(result.link, 200);
searchResponse += `Scraped Data: ${scrapeResult}\n`;
} catch (scrapeErr) {
console.error(`${getTimestamp()} [ERROR] Failed to scrape URL: ${result.link}`, scrapeErr);
searchResponse += `Failed to scrape URL: ${result.link}\n`;
}
}
const lastMessageIndex = conversationHistory[ip].length - 1;
if (lastMessageIndex >= 0) {
conversationHistory[ip][lastMessageIndex].content += "\n" + searchResponse;
console.log(`${getTimestamp()} [INFO] Processed search query: ${searchQuery}, response: ${searchResponse}`);
} else {
console.error(`${getTimestamp()} [ERROR] Conversation history is unexpectedly empty for: ${ip}`);
}
}).catch(err => {
console.error(`${getTimestamp()} [ERROR] Failed to perform Google search: ${searchQuery}`, err);
return res.status(500).json({
message: "An error occurred while performing Google search",
error: err.message
});
});
} catch (err) {
console.error(`${getTimestamp()} [ERROR] An unexpected error occurred:`, err);
return res.status(500).json({
message: "An unexpected error occurred",
error: err.message
});
}
}
const searchQuery = searchMatch[1];
console.log(`${getTimestamp()} [INFO] Detected search query in user message: ${searchQuery}`);
// End Plugins ---
const options = {
query: searchQuery,
limit: 5,
disableConsole: true
};
console.log(`${getTimestamp()} [INFO] Sending request to llama API for response`);
try {
const results = await googleIt(options);
let searchResponse = `Search Query: ${searchQuery}\n`;
searchResponse += `Top Google search results:\n`;
let scrapedContent = '';
const sent = {
model: 'model',
messages: conversationHistory[ip]
for (let i = 0; i < results.length; i++) {
const result = results[i];
searchResponse += `${i + 1}. ${result.title} - ${result.link}\n`;
try {
const scrapeResult = await scrapeWebPage(result.link, 400);
searchResponse += `Scraped Data: ${scrapeResult}\n`;
scrapedContent += `Scraped Data from ${result.link}:\n${scrapeResult}\n`;
} catch (scrapeErr) {
console.error(`${getTimestamp()} [ERROR] Failed to scrape URL: ${result.link}`, scrapeErr);
searchResponse += `Failed to scrape URL: ${result.link}\n`;
scrapedContent += `Failed to scrape URL: ${result.link}\n`;
}
}
const lastMessageIndex = conversationHistory[ip].length - 1;
if (lastMessageIndex >= 0) {
conversationHistory[ip][lastMessageIndex].content += "\n" + searchResponse;
console.log(`${getTimestamp()} [INFO] Processed search query: ${searchQuery}, response: ${searchResponse}`);
} else {
console.error(`${getTimestamp()} [ERROR] Conversation history is unexpectedly empty for: ${ip}`);
}
if (scrapedContent) {
conversationHistory[ip].push({
role: 'assistant',
content: scrapedContent
});
console.log(`${getTimestamp()} [INFO] Added scraped content to conversation history for: ${ip}`);
}
// Now send the request to llama API after scraping is done
console.log(`${getTimestamp()} [INFO] Sending request to llama API for response`);
const sent = {
model: 'model',
messages: conversationHistory[ip]
};
//console.log(sent);
const llamaResponse = await fetch(`http://127.0.0.1:8002/v1/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(sent)
});
const response = await llamaResponse.json();
const assistantMessage = response.choices[0].message;
conversationHistory[ip].push(assistantMessage);
console.log(`${getTimestamp()} [INFO] Received response from llama API`);
console.log(`${getTimestamp()} [DEBUG] Finish Reason: ${response.choices[0].finish_reason}`);
console.log(`${getTimestamp()} [STATS] Usage: prompt_tokens=${response.usage.prompt_tokens}, completion_tokens=${response.usage.completion_tokens}, total_tokens=${response.usage.total_tokens}`);
res.json(assistantMessage);
} catch (err) {
console.error(`${getTimestamp()} [ERROR] Failed to perform Google search: ${searchQuery}`, err);
return res.status(500).json({
message: "An error occurred while performing Google search",
error: err.message
});
}
} else {
// If no search plugin is used, send the request to llama API directly
console.log(`${getTimestamp()} [INFO] Sending request to llama API for response`);
const sent = {
model: 'model',
messages: conversationHistory[ip]
};
console.log(sent);
const llamaResponse = await fetch(`http://127.0.0.1:8002/v1/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(sent)
});
const response = await llamaResponse.json();
const assistantMessage = response.choices[0].message;
conversationHistory[ip].push(assistantMessage);
console.log(`${getTimestamp()} [INFO] Received response from llama API`);
console.log(`${getTimestamp()} [DEBUG] Finish Reason: ${response.choices[0].finish_reason}`);
console.log(`${getTimestamp()} [STATS] Usage: prompt_tokens=${response.usage.prompt_tokens}, completion_tokens=${response.usage.completion_tokens}, total_tokens=${response.usage.total_tokens}`);
res.json(assistantMessage);
}
//console.log(sent);
const llamaResponse = await fetch(`http://127.0.0.1:8002/v1/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify(sent)
});
const response = await llamaResponse.json();
const assistantMessage = response.choices[0].message;
conversationHistory[ip].push(assistantMessage);
console.log(`${getTimestamp()} [INFO] Received response from llama API`); // ${assistantMessage.content}
console.log(`${getTimestamp()} [DEBUG] Finish Reason: ${response.choices[0].finish_reason}`);
console.log(`${getTimestamp()} [STATS] Usage: prompt_tokens=${response.usage.prompt_tokens}, completion_tokens=${response.usage.completion_tokens}, total_tokens=${response.usage.total_tokens}`);
res.json(assistantMessage);
} catch (error) {
console.error(`${getTimestamp()} [ERROR] An error occurred while handling chat request`, error);
res.status(500).json({
@ -557,4 +576,4 @@ app.post('/api/v1/reset-conversation', (req, res) => {
app.listen(port, () => {
console.log(`${getTimestamp()} [INFO] Server running at http://localhost:${port}`);
});
});