(back) Suggester V1: Process artist data

(cherry picked from commit 02f5705fde37e1aaef5c68de62aafe45fc86d490)

suggester.py

@@ -0,0 +1,43 @@
+import requests
+import json
+
+ELS_URL ='http://localhost:9200'
+INDEX = 'itunes-suggest'
+
+def get_tokens(data: str) -> list:
+    query = {
+        "analyzer": "artist_name",
+        "text" : data
+    }
+
+    url = '{}/{}/_analyze'.format(ELS_URL, INDEX)
+    r = requests.get(url, json=query)
+    return [t['token'] for t in r.json()['tokens']]
+
+def post_artist(artist: str, sugget_input: list) -> bool:
+    element = { "artist_suggest" : sugget_input, "artist": artist }
+
+    url = '{}/{}/_doc'.format(ELS_URL, INDEX)
+    resp = requests.post(url, json=element)
+    if resp.status_code != 201:
+        print('ELS Response KO')
+        print(resp.status_code)
+        print(resp.text)
+        return
+
+    el_id = resp.json()['_id']
+    print('Post_element - Element created: ' + el_id)
+    return el_id
+
+
+# Using readlines()
+itunes_file = open('/home/budd/workspace/iTunes/es-artists.json', 'r')
+lines = itunes_file.readlines()
+
+# Strips the newline character
+for line in lines:
+    data = json.loads(line)
+    if "Artist" in data:
+        # print(data)
+        input = get_tokens(data['Artist'])
+        post_artist(data['Artist'], input)