Adding RUOK

* Conducts sentiment analysis and provides a happy or assuring message
sometimes
* Just skeletal: we can refine it but the logic is here

ruok/ruok.py

@@ -0,0 +1,59 @@
+# Required
+# pip3 install -q transformers
+# pip3 install tensorflow
+
+import os
+import sys
+import random
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
+os.environ['TRANSFORMERS_VERBOSITY'] = 'critical'
+from transformers import pipeline
+
+# get data
+commit_msg = sys.stdin.read()
+
+sentiment_pipeline = pipeline(model="cardiffnlp/twitter-roberta-base-sentiment")
+data = [commit_msg,]
+stmt = sentiment_pipeline(data)
+
+positive_titles = [
+    "Fuck yeah!",
+    "Awesome",
+    "Proud of you",
+    "Schwing!",
+    "Killing it!",
+    "Fairest of them all",
+]
+
+positive_messages = [
+    "I hope I'm half as happy as you are!",
+    "Excellent commit. 10/10. No notes.",
+    "You're doing a great job.",
+    "Your collaborators are real lucky to have you.",
+    "Smooth as butter.",
+    "Nothing but net.",
+]
+
+negative_titles = [
+    "Woah there!",
+    "Deep breaths",
+    "You've got this",
+    "A little annoyed?",
+    "Perhaps a walk?",
+]
+
+negative_messages = [
+    "Maybe get some fresh air -- you seem a little agitated.",
+    "Picking up some tense vibes. Maybe time for a snack?",
+    "Take five and text someone you care about!",
+    "Don't let the code win. It's a smug bastard and it'll never let you hear the end of it!",
+    "I suggest grabbing a drink of water and a little stretch.",
+]
+
+if stmt[0]["label"] == 'LABEL_0':
+    # negative
+    if stmt[0]["score"] > 0.60:
+        os.system('notify-send "{}" "{}"'.format(random.choice(negative_titles), random.choice(negative_messages)))
+elif stmt[0]["label"] == 'LABEL_2':
+    if stmt[0]["score"] > 0.60:
+        os.system('notify-send "{}" "{}"'.format(random.choice(positive_titles), random.choice(positive_messages)))