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"""Endpoints for computing correlation"""
import pickle
import time
from flask import Blueprint
from flask import jsonify
from flask import request
from flask import g
from flask import after_this_request
from default_settings import SQL_URI
# import pymysql
from sqlalchemy import create_engine
from gn3.correlation.correlation_computations import compute_correlation
correlation = Blueprint("correlation", __name__)
# xtodo implement neat db setup
@correlation.before_request
def connect_db():
"""add connection to db method"""
print("@app.before_request connect_db")
db_connection = getattr(g, '_database', None)
if db_connection is None:
print("Get new database connector")
g.db = g._database = create_engine(SQL_URI, encoding="latin1")
g.initial_time = time.time()
@correlation.after_request
def after_request_func(response):
final_time = time.time() - g.initial_time
print(f"This request for Correlation took {final_time} Seconds")
g.initial_time = None
return response
@correlation.route("/corr_compute", methods=["POST"])
def corr_compute_page():
"""api for doing correlation"""
# todo accepts both form and json data
correlation_input = request.json
if correlation_input is None:
return jsonify({"error": str("Bad request")}),400
try:
corr_results = compute_correlation(correlation_input_data=correlation_input)
except Exception as error: # pylint: disable=broad-except
return jsonify({"error": str(error)})
return {
"correlation_results":corr_results
}
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