README.md in insulin-0.0.18 vs README.md in insulin-0.1.0

@@ -26,31 +26,33 @@
     connecting to: insulin
     > db.events.find({serial : 266})
     { "_id" : ObjectId("4ff07b371508cc259c8a8f0c"), "serial" : 266, "timestamp" : ISODate("2012-06-28T09:21:05Z"), "tzoffset" : "+0100", "timezone" : "BST", "unixtime" : 1340875265, "day" : "thursday", "date" : "2012-06-28", "time" : "10:21:05 BST", "type" : "medication", "subtype" : "humalog", "tag" : "breakfast", "value" : 4, "notes" : { "food" : [ "2 bacon", "2 toast" ], "note" : [ "test note" ] } }
     > 
 
-Currently the only supported output operation is
+Current output options are
 
     insulin day DATE
+    insulin month DATE
+    insulin week DATE
 
-to show stats for date DATE (in YYYY-MM-DD format) - defaults to 'today' if no date supplied. Note that insulin considers events that occur up to 04:00 as part of the previous actual day (because sometimes we stay up late, right?). Output will look something like
+Example:
 
-    2012-07-06
-              06:50:54 BST glucose                6.4 mmol/L
-              07:05:38 BST weight                59.0 kg
-              09:43:33 BST glucose                6.7 mmol/L
-              09:50:23 BST medication humalog     4.0 x10^-5 L
-              13:17:43 BST glucose                4.7 mmol/L
-              13:31:44 BST medication humalog     4.0 x10^-5 L
-              15:57:12 BST glucose                6.2 mmol/L
-              20:01:41 BST glucose                6.2 mmol/L
-              20:05:21 BST medication humalog     6.0 x10^-5 L
-              21:42:38 BST glucose                9.0 mmol/L
-              00:34:22 BST glucose                9.5 mmol/L
-              00:49:27 BST medication lantus     12.0 x10^-5 L
-              Average glucose: 6.96 mmol/L
+    $ insulin day 2012-07-01
+    2012-07-01
+        09:41:47 BST | breakfast       | glucose    |               |  6.4 mmol/L
+        09:57:09 BST | breakfast       | medication | humalog       |  4.0 x10^-5 L
+        12:40:43 BST | lunch           | weight     |               | 59.0 kg
+        13:54:04 BST | lunch           | glucose    |               |  5.0 mmol/L
+        14:03:05 BST | lunch           | medication | humalog       |  4.0 x10^-5 L
+        18:56:25 BST | dinner          | glucose    |               |  4.9 mmol/L
+        19:03:37 BST | dinner          | medication | humalog       |  6.0 x10^-5 L
+        21:06:01 BST | after dinner    | glucose    |               |  3.5 mmol/L
+        22:32:32 BST | bedtime         | glucose    |               |  7.5 mmol/L
+        22:46:12 BST | bedtime         | medication | lantus        | 14.0 x10^-5 L
 
+        average glucose: 5.46 mmol/L
+
 You can also run the tests, if you're into that sort of thing:
 
     bundle exec rspec
 
 Postfix setup
@@ -61,9 +63,10 @@
 Next steps
 ==========
 
 * Get it generating custom CSVs for Spreadsheeting
 * Get it doing some analysis
+* Generate some more detailed output (latest HbA1c, BP, etc)
 * Give it a [meteor](http://meteor.com/) front-end (might require some help from [Chris](https://github.com/mrchrisadams)). Graphs, yo
 * Possibly connect to [this API](http://platform.fatsecret.com/api/) to extract carb values from plain-text food descriptions (this may be a little ambitious, we'll see)
 
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