This code defines a Flask API endpoint that connects to a Power BI data source and executes a query. Here's a step-by-step breakdown of the code:

• The first two lines import the necessary libraries: sys.path and pyadomd for working with the Power BI data source, and flask for building the API endpoint.

from sys import path path.append('\Program Files\Microsoft.NET\ADOMD.NET\160')

from pyadomd import Pyadomd from flask import Flask, jsonify

• The next line creates a Flask app instance with Flask(name).

app = Flask(name)

• The @app.route('/alpino') decorator is used to define the API endpoint. In this case, the endpoint URL is https:///alpino.

@app.route('/alpino')

• The def alpino(): function defines the behavior of the API endpoint. It first sets up a connection to the Power BI data source with the given connection string and then executes a query using the Pyadomd library.

def alpino():

• The cur.fetchall() method retrieves all the data returned by the query.

with Pyadomd(conn_str) as conn: with conn.cursor().execute(query) as cur: data = cur.fetchall()

• The column_names variable is set to the list of column names returned by cur.description.

column_names = [column[0] for column in cur.description]

• The result variable is set to a list of dictionaries, where each dictionary represents a row in the query result. The zip() and dict() functions are used to map the column names to the row values.

result = [dict(zip(column_names, row)) for row in data]

• The jsonify() function is used to convert the result variable to a JSON string.

json_result = jsonify(result)

• Finally, the function returns the JSON response using return json_result.

return json_result

In summary, this code sets up a Flask API endpoint that connects to a Power BI data source and returns the result of a query in JSON format. It uses the pyadomd library to connect to the data source, and the flask library to define the API endpoint and return the JSON response.

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