feats: native searxng networking, code composition, ux polish, follow up querying via internals, config var clarity, readme
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cra88y/pc
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"""
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AI Answers Plugin - Interactive Demo Server
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Simulates SearXNG environment for local development and testing.
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Usage: python demo.py
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Then visit: http://localhost:5000/?q=your+query+here
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Requires: pip install flask flask-babel python-dotenv
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"""
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import sys
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import os
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import logging
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from types import ModuleType
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from flask import Flask, request
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from dotenv import load_dotenv
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logging.basicConfig(level=logging.INFO, format='%(levelname)s: %(message)s')
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load_dotenv()
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os.environ.setdefault('LLM_STYLE', 'interactive')
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# Mock SearXNG modules
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searx = ModuleType("searx")
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searx_plugins = ModuleType("searx.plugins")
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searx_results = ModuleType("searx.result_types")
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class MockPlugin:
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def __init__(self, cfg):
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self.active = getattr(cfg, 'active', True)
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class MockPluginInfo:
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def __init__(self, **kwargs):
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self.meta = kwargs
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class MockEngineResults:
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def __init__(self):
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self.types = ModuleType("types")
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self.types.Answer = lambda *args, **kwargs: kwargs.get('answer', args[0] if args else "")
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self._results = []
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def add(self, res):
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self._results.append(res)
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searx_plugins.Plugin = MockPlugin
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searx_plugins.PluginInfo = MockPluginInfo
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searx_results.EngineResults = MockEngineResults
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sys.modules["searx"] = searx
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sys.modules["searx.plugins"] = searx_plugins
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sys.modules["searx.result_types"] = searx_results
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from ai_answers import SXNGPlugin
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from flask_babel import Babel
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app = Flask(__name__)
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babel = Babel(app)
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class MockConfig:
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active = True
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plugin = SXNGPlugin(MockConfig())
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plugin.init(app)
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@app.route("/")
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def index():
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query = request.args.get("q", "why is the sky blue")
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class MockSearchQuery:
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pageno = 1
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lang = 'en'
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categories = ['general']
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MockSearchQuery.query = query
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class MockSearch:
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search_query = MockSearchQuery()
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class MockResultContainer:
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def __init__(self):
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self.answers = set()
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def get_ordered_results(self):
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if 'quantum' in query.lower():
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return [
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{"title": "IBM Quantum", "content": "Quantum computers rely on qubits, which can represent 0, 1, or both via superposition. They solve complex problems faster.", "url": "https://www.ibm.com/quantum", "publishedDate": "2026-01-15"},
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{"title": "Nature Physics", "content": "Entanglement allows qubits to be correlated instantly across distances. This is key for quantum cryptography and teleportation.", "url": "https://nature.com/articles/quantum", "publishedDate": "2026-01-10"},
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{"title": "Wikipedia", "content": "Quantum computing uses quantum mechanics. Major applications include drug discovery and materials science.", "url": "https://en.wikipedia.org/wiki/Quantum_computing", "publishedDate": "2025-12-01"}
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]
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return [
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{"title": "Wikipedia", "content": "The sky appears blue due to Rayleigh scattering of sunlight.", "url": "https://en.wikipedia.org/wiki/Rayleigh_scattering", "publishedDate": "2026-01-15"},
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{"title": "NASA Science", "content": "Shorter blue wavelengths scatter more than longer red wavelengths.", "url": "https://science.nasa.gov/blue-sky", "publishedDate": "2026-01-10"},
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{"title": "Physics Today", "content": "The atmosphere acts as a filter, scattering blue light in all directions.", "url": "https://physicstoday.org/atmosphere", "publishedDate": "2026-01-01"}
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]
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result_container = MockResultContainer()
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search = MockSearch()
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plugin.post_search(None, search)
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injection_html = ""
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if search.result_container.answers:
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injection_html = list(search.result_container.answers)[0]
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return f"""
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<title>AI Answers Demo</title>
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<style>
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body {{
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
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padding: 2rem;
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max-width: 800px;
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margin: 0 auto;
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background: #2e3440;
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color: #eceff4;
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}}
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:root {{
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--color-result-border: #3b4252;
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--color-result-description: #d8dee9;
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--color-base-font: #88c0d0;
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--color-result-link: #81a1c1;
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}}
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h1 {{ color: #88c0d0; }}
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.meta {{ color: #81a1c1; font-size: 0.9rem; }}
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hr {{ border-color: #4c566a; }}
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a {{ color: #88c0d0; }}
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</style>
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</head>
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<body>
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<div style="margin-top: 2rem;"></div>
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<p class="meta">Provider: <strong>{plugin.provider or 'Not configured'}</strong> | Model: <strong>{plugin.model or 'N/A'}</strong></p>
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<p>Query: <strong>{query}</strong></p>
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<hr>
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{injection_html if injection_html else '<p style="color:#f66;">Plugin inactive. Set LLM_PROVIDER and LLM_KEY in .env</p>'}
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<hr>
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<p class="meta">Try: <a href="/?q=what+is+quantum+computing">/?q=what+is+quantum+computing</a></p>
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</body>
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</html>
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"""
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if __name__ == "__main__":
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print()
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print("=" * 50)
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print(" AI Answers Plugin - Demo Server")
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print("=" * 50)
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print(f" Provider: {plugin.provider or 'NOT SET'}")
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print(f" Model: {plugin.model or 'N/A'}")
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print(f" Style: {plugin.style}")
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print(f" Status: {'Active' if plugin.api_key else 'Inactive (no LLM_KEY)'}")
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print("=" * 50)
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print(" http://localhost:5000/?q=your+query+here")
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print("=" * 50)
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print()
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app.run(debug=True, port=5000)
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