Added gitignore
Deploy Node App / deploy (push) Failing after 3s

This commit is contained in:
Gitea
2026-05-25 15:23:04 +05:30
commit 192e8fc79c
10 changed files with 1766 additions and 0 deletions
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const axios = require('axios');
const { GoogleGenerativeAI } = require('@google/generative-ai');
const ai = new GoogleGenerativeAI({ apiKey: process.env.GEMINI_API_KEY });
const fetchWrenData = async (prompt, tenantId) => {
try {
const url = process.env.WREN_AI_URL || 'http://localhost:5555/api/v1/text-to-sql';
const response = await axios.post(url,
{ prompt: prompt },
{
headers: {
'X-Wren-Session-Properties': `@user_org_id=${tenantId}`,
'Content-Type': 'application/json'
}
}
);
return response.data;
} catch (error) {
console.error('Wren AI Integration Error:', error.message);
throw new Error('Failed to fetch data payload from Wren AI endpoint');
}
};
const generateVegaSchema = async (question, dataArray) => {
try {
const model = ai.getGenerativeModel({
model: 'gemini-2.5-flash',
generationConfig: { responseMimeType: 'application/json' }
});
const systemPrompt = `You are a data visualization expert. I will provide a user's question and a JSON array of data.
Your task is to generate a strictly valid Vega-Lite JSON specification to visualize this data.
The data array will be provided to the Vega spec internally. Map the JSON keys to the correct x, y, and color axes.
Choose the best chart type (bar, line, arc) based on the question.`;
const userPrompt = `User Question: "${question}"\nData JSON: ${JSON.stringify(dataArray)}`;
const result = await model.generateContent({
contents: [{ role: 'user', parts: [{ text: `${systemPrompt}\n\n${userPrompt}` }] }]
});
return JSON.parse(result.response.text());
} catch (error) {
console.error('Gemini Engine Error:', error.message);
throw new Error('Failed to transform data architecture into valid Vega-Lite spec');
}
};
const handleOrchestration = async (req, res) => {
try {
const { prompt } = req.body;
const tenant_id = req.user ? req.user.client_id : null;
return res.status(200).json("ok");
if (!prompt) {
return res.status(400).json({ error: 'Prompt field is required in request body' });
}
if (!tenant_id) {
return res.status(400).json({ error: 'Tenant context (client_id) missing from auth token' });
}
const wrenData = await fetchWrenData(prompt, tenant_id);
const vegaSchema = await generateVegaSchema(prompt, wrenData);
if (!vegaSchema || !vegaSchema.$schema) {
return res.status(500).json({ error: 'Egress Pipeline Validation Failure: Output missing standard Vega $schema identifier' });
}
return res.status(200).json(vegaSchema);
} catch (error) {
console.error('API Gateway Orchestrator Crash:', error.message);
return res.status(500).json({ error: error.message });
}
};
module.exports = { handleOrchestration };
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const clickhouse = require('../database/clickhouse');
const jwt = require('jsonwebtoken');
const JWT_SECRET = 'secretkey';
const loginUser = async (req, res) => {
try {
const { username, password } = req.body;
if (!username || !password) {
return res.status(400).json({
success: false,
message: "Username and password are required"
});
}
const resultSet = await clickhouse.query({
query: 'SELECT * FROM usertable WHERE username = {user: String} AND password = {pass: String}',
query_params: {
user: username,
pass: password
},
format: 'JSONEachRow',
});
const rows = await resultSet.json();
if (rows.length === 0) {
return res.status(401).json({
success: false,
message: "Invalid username or password"
});
}
const user = rows[0];
const token = jwt.sign(
{
client_id: user.client_id,
username: user.username
},
JWT_SECRET,
{ expiresIn: '24h' }
);
res.status(200).json({
success: true,
message: "Login successful",
token: token,
});
} catch (error) {
console.error("Login Error:", error);
res.status(500).json({
success: false,
message: "Internal server error",
error: error.message
});
}
};
module.exports = { loginUser };