Rasmus
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69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
from flask import Flask, render_template, Response, request
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from flask_flatpages import FlatPages
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from werkzeug.middleware.proxy_fix import ProxyFix
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import requests
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app = Flask(__name__)
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app.wsgi_app = ProxyFix(app.wsgi_app, x_proto=1, x_host=1)
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app.config.update(
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FLATPAGES_AUTO_RELOAD = True,
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FLATPAGES_EXTENSION = '.md',
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FLATPAGES_MARKDOWN_EXTENSIONS = ['fenced_code', 'tables']
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)
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pages = FlatPages(app)
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@app.route('/')
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def index():
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# Sort posts by date metadata
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posts = sorted(pages, key=lambda p: p.meta.get('date'), reverse=True)
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return render_template('index.html', posts=posts)
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@app.route('/about')
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def about():
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return render_template('about.html')
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@app.route('/proxy-chat', methods=['POST'])
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def proxy_chat():
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target_url = "http://192.168.0.37:5002/v1/chat/completions"
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# Ensure 'stream' is set to True for the backend
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payload = request.json
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payload['stream'] = True
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try:
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# We use stream=True so requests doesn't buffer the whole response
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response = requests.post(
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target_url,
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json=payload,
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timeout=300,
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stream=True
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)
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def generate():
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# This yields chunks of data to the browser as they arrive
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for chunk in response.iter_content(chunk_size=None):
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if chunk:
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yield chunk
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return Response(
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generate(),
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content_type='text/event-stream' # Standard for streaming AI responses
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)
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except requests.exceptions.Timeout:
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return {"error": "Backend timed out"}, 504
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except Exception as e:
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return {"error": str(e)}, 500
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@app.route('/post/<path:path>/')
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def post(path):
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page = pages.get_or_404(path)
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return render_template('post.html', page=page)
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@app.route('/tag/<string:tag_name>/')
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def tag(tag_name):
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tagged_pages = [p for p in pages if tag_name in p.meta.get('tags', [])]
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return render_template('tag.html', pages=tagged_pages, tag_name=tag_name)
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if __name__ == "__main__":
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app.run(host='0.0.0.0', port=5001, debug=True) |