Bugs with "like" stats in posts-by-user.py

[sbonds]

Here's a patch to fix some issues where users who have ONLY done likes and have not posted messages create problems for the stat script:

With the current script we get KeyError: u'<id>', but when that was fixed some of the division by zero errors came out. This uses a small function to allow anything divided by zero to be zero-- probably close enough for this purpose.

---

diff --git a/stat/posts-by-user.py b/stat/posts-by-user.py
index b0bf462..054153e 100644
--- a/stat/posts-by-user.py
+++ b/stat/posts-by-user.py
@@ -6,6 +6,11 @@ sys.setdefaultencoding("utf-8")
 import json
 import datetime

+def divideWhereDivZeroIsZero(dividend,divisor):
+    try:
+        return dividend/divisor
+    except ZeroDivisionError:
+        return 0

 def main():
     """Usage: posts-by-user.py filename.json
@@ -45,18 +50,22 @@ Assumes filename.json is a JSON GroupMe transcript.

     }
     for id, stats in counts.items():
-        name = names[id]
+       try:
+               name = names[id]
+       except KeyError:
+               names[id] = 'UID ' + str(id)
+               name = names[id]
         count = stats['messages']
         like_given_count = stats['likes_given']
         like_received_count = stats['likes_received']
         output['messages'].append(u'{name}: messages: {count} ({msg_pct:.1f}%)'.format(
-            name=name, count=count, msg_pct=count/float(totalMessages) * 100,
+            name=name, count=count, msg_pct=divideWhereDivZeroIsZero(count,float(totalMessages) * 100),
         ))
         output['likes_received'].append(u'{name}: likes received: {like_count} ({like_pct:.1f} per message)'.format(
-            name=name, like_count=like_received_count, like_pct=like_received_count/float(count),
+            name=name, like_count=like_received_count, like_pct=divideWhereDivZeroIsZero(like_received_count,float(count)),
         ))
         output['likes_given'].append(u'{name}: likes given: {like_count} ({like_pct:.1f}%)'.format(
-            name=name, like_count=like_given_count, like_pct=like_given_count/float(totalLikes) * 100
+            name=name, like_count=like_given_count, like_pct=divideWhereDivZeroIsZero(like_given_count,float(totalLikes) * 100)
         ))
     for category, values in output.items():
         print '\n'

---