File size: 5,328 Bytes
f747401
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
import { Client } from "https://cdn.jsdelivr.net/npm/@gradio/client/dist/index.min.js";

// ==========================================
// CONFIGURATION
// ==========================================
// IMPORTANT: Update this variable after you deploy your Gradio app to Hugging Face Spaces.
// Example: "vishnu/ai-observability"
const HF_SPACE_ID = "VJ24/ai-observability";

// DOM Elements
const elements = {
    queryInput: document.getElementById('queryInput'),
    runBtn: document.getElementById('runBtn'),
    btnText: document.querySelector('.btn-text'),
    loader: document.querySelector('.loader'),

    refreshTracesBtn: document.getElementById('refreshTracesBtn'),
    tracesOutput: document.getElementById('tracesOutput'),

    retrievedOutput: document.getElementById('retrievedOutput'),
    answerOutput: document.getElementById('answerOutput'),
    verdictOutput: document.getElementById('verdictOutput'),
    latencyOutput: document.getElementById('latencyOutput'),
    diagnosticsOutput: document.getElementById('diagnosticsOutput'),

    setupAlert: document.getElementById('setupAlert')
};

// State
let client = null;

async function initClient() {
    if (HF_SPACE_ID.includes("YOUR_HF_USERNAME")) {
        // Just mock it until they actually hook it up
        return null;
    }

    try {
        client = await Client.connect(HF_SPACE_ID);
        elements.setupAlert.style.display = 'none';
        return client;
    } catch (e) {
        console.error("Failed to connect to Hugging Face Space:", e);
        return null;
    }
}

function setLoading(isLoading) {
    if (isLoading) {
        elements.btnText.textContent = "Processing...";
        elements.loader.classList.remove('hidden');
        elements.runBtn.disabled = true;
    } else {
        elements.btnText.textContent = "Execute Chain";
        elements.loader.classList.add('hidden');
        elements.runBtn.disabled = false;
    }
}

async function runPipeline() {
    const query = elements.queryInput.value.trim();
    if (!query) return;

    setLoading(true);
    const startTime = performance.now();

    try {
        if (!client) {
            // Mock response if backend is not linked yet
            await simulateExecution();
            return;
        }

        // Call our explicitly named API endpoint
        const result = await client.predict("/process_query", {
            query: query
        });

        const [retrievedText, answerText, verdictText, diagnosticsJSON] = result.data;

        // Update UI
        elements.retrievedOutput.textContent = retrievedText;
        elements.answerOutput.textContent = answerText;
        elements.diagnosticsOutput.textContent = diagnosticsJSON;

        // Parse verdict
        updateVerdictUI(verdictText);

    } catch (e) {
        console.error("Pipeline Error:", e);
        elements.answerOutput.textContent = "Error: Failed to fetch from backend. Check console.";
    } finally {
        const latency = Math.round(performance.now() - startTime);
        elements.latencyOutput.textContent = `${latency} ms`;
        setLoading(false);
        fetchTraces(); // Auto refresh traces
    }
}

async function fetchTraces() {
    elements.refreshTracesBtn.style.transform = "rotate(180deg)";
    setTimeout(() => { elements.refreshTracesBtn.style.transform = "rotate(0deg)"; }, 300);

    try {
        if (!client) {
            elements.tracesOutput.textContent = "// Traces mock (Backend not connected)";
            return;
        }

        const result = await client.predict("/get_traces", {});
        elements.tracesOutput.textContent = result.data[0];
    } catch (e) {
        console.error("Traces Error:", e);
        elements.tracesOutput.textContent = "// Failed to load traces.";
    }
}

function updateVerdictUI(verdictText) {
    // Example format: "Verdict: pass (Score: 0.85)"
    elements.verdictOutput.textContent = verdictText;
    elements.verdictOutput.className = "value-badge";

    if (verdictText.toLowerCase().includes('pass')) {
        elements.verdictOutput.classList.add('pass');
    } else if (verdictText.toLowerCase().includes('fail')) {
        elements.verdictOutput.classList.add('fail');
    }
}

async function simulateExecution() {
    // A mock response to demonstrate UI if the user hasn't connected HF yet.
    await new Promise(r => setTimeout(r, 1500));

    elements.retrievedOutput.textContent = JSON.stringify([
        { "id": "mock_id", "text": "This is mock data because HF backend is not connected.", "score": 0.9 }
    ], null, 2);

    elements.answerOutput.textContent = "This is a frontend demonstration. Setup the Hugging Face space pointing to your repository, then place the space ID in app.js to go live.";

    updateVerdictUI("Verdict: pass (Score: 0.99) [MOCK]");

    elements.diagnosticsOutput.textContent = JSON.stringify({
        "status": "success",
        "mock": true
    }, null, 2);
}

// Event Listeners
elements.runBtn.addEventListener('click', runPipeline);
elements.refreshTracesBtn.addEventListener('click', fetchTraces);

elements.queryInput.addEventListener('keydown', (e) => {
    if (e.key === 'Enter' && !e.shiftKey) {
        e.preventDefault();
        runPipeline();
    }
});

// Initialize
document.addEventListener('DOMContentLoaded', () => {
    initClient();
});