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from flask import Flask, request, jsonify, make_response, render_template
from dataset.iris import iris
from opts import options
app = Flask(
__name__,
template_folder="templates",
)
def not_valid(params: dict):
"""
is_valid() simply checks if
an incoming response is valid
for this api or not. Key to
avoiding errors
"""
if "algorithm" not in params:
return "User did not specify the algorithm parameter"
if params["algorithm"] not in options:
return f"Invalid algorithm '{params['algorithm']}' is invalid."
return False
@app.route("/", methods=["POST", "GET"])
def index():
if request.method == "GET":
return render_template("index.html")
error_message = not_valid(params=request.json)
if error_message:
return make_response(error_message, 400)
# parse arguments
algorithm = options[request.json["algorithm"]]
args = request.json["arguments"]
# in the future instead of a random data set
# we should do a more real one like palmer penguins
X, y = iris()
return jsonify(
algorithm(
X=X,
y=y,
args=args,
)
)
if __name__ == "__main__":
app.run(debug=False)
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