60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
import json
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from flask import Flask, request, Response
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import requests
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app = Flask(__name__)
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# Die Backend-Server-Adresse
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BACKEND_SERVER = "https://api.mistral.ai"
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@app.route("/", defaults={"path": ""}, methods=["GET", "POST", "PUT", "DELETE"])
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@app.route("/<path:path>", methods=["GET", "POST", "PUT", "DELETE"])
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def proxy(path):
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# Die Anfrage an den Backend-Server weiterleiten
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backend_url = f"{BACKEND_SERVER}/{path}"
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print(f"Request to backend: {backend_url}")
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# Anfragemethode und -header an den Backend-Server weiterleiten
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backend_request_method = request.method
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backend_request_headers = {}
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for header in request.headers:
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if header[0] in [ "Authorization", "Accept", "Content-Type"]:
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backend_request_headers[header[0]] = header[1]
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# Den Request-Body filtern, bevor er an den Backend-Server gesendet wird
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if (request.get_data()):
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backend_request_data = filter_request_body(request.get_data())
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else:
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backend_request_data = None
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# Die Anfrage an den Backend-Server senden
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backend_response = requests.request(
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backend_request_method,
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backend_url,
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headers=backend_request_headers,
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data=backend_request_data,
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)
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# Die Antwort des Backend-Servers an den Client weiterleiten
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response_headers = {
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"Content-Type": backend_request_headers["Content-Type"],
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}
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response = Response(backend_response.content, backend_response.status_code, response_headers)
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print(f"Response headers: {response_headers}")
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print(f"Response body: {backend_response.content}")
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return response
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def filter_request_body(request_body):
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j = json.loads(request_body)
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if "user" in j:
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del j["user"]
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if "n" in j:
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del j["n"]
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return json.dumps(j)
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=8080, debug=True)
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