updated readme

Author: Brian Abelson

fitbite.py

@@ -29,7 +29,7 @@ def determine_calorie_level(fb, config):
   levels = config['levels']
   the_calorie_level = levels[0].keys()[0]
   for l in levels:
-    calorie_level, step_level = l.keys()[0], l.values()[0]
+    calorie_level, step_level = l.keys()[0], l.vsalues()[0]
     if step_level < steps:
       the_calorie_level = calorie_level
 
@@ -88,4 +88,5 @@ def order_seamless(calorie_level):
   config = load_config()
   fb = authorize_with_fitbit()
   calorie_level = determine_calorie_level(fb, config)
-  print order_seamless(re.sub("_", " ", calorie_level))
+
+  print order_seamless(calorie_level))

imgs/fav_meals.png

@@ -13,4 +13,56 @@
                 \\
                 '--`
 ```
-Order food from Seamless based on your Fitbit activity for the day.
+Order one of your favorite meals from Seamless based on your Fitbit activity for the day.
+-----------------------------------------------------------------------------------------
+
+## Dependencies
+First, you'll need to set the following 6 Environmental Variables.  The easy way is to just add these to `
+~/.bash_profile` or `~/.zshrc`, depending on which shell you use.
+
+```
+export SEAMLESS_EMAIL='name@email.com'
+export SEAMLESS_PASSWORD='mehungry'
+export FITBIT_CONSUMER_KEY='wwwwwwwwwwwwwwwwwwwwww'
+export FITBIT_CONSUMER_SECRET='xxxxxxxxxxxxxxxxxxxx'
+export FITBIT_USER_KEY='yyyyyyyyyyyyyyyyyy'
+export FITBIT_USER_SECRET='zzzzzzzzzzzzzzzzz'
+```
+
+Then you'll need to install [`python-fitbit`](https://github.com/orcasgit/python-fitbit) like so:
+
+```
+git clone https://github.com/orcasgit/python-fitbit.git
+cd python-fitbit
+sudo python setup.py install
+```
+
+You'll also need to make sure you have `selenium` for python installed:
+
+```
+sudo pip install selenium
+```
+And have downloaded Firefox from [here]((http://www.mozilla.org/en-US/firefox/new/))
+
+## Assumptions
+1.  Your CC info is saved on Seamless
+2.  You're at your home (default) address on Seamless.
+
+## Setup
+`fitbite` works by querying your fitbit activity for the today, comparing it to set of arbitrary tags and step levels in `fitbite.yaml` and then ordering one of your favorite meals from Seamless which have been named with the same tags.
+
+See an example list of my favorite meals:
+![fav_meals](imgs/fav_meals.png)
+
+The names of each meal match the tagged calorie levels set in [`fitbite.yaml`](fitbite.yaml):
+```
+levels:
+  - LOW_CALORIES: 5000
+  - MEDIUM_CALORIES: 10000
+  - HIGH_CALORIES: 15000
+```
+
+## Runtime
+When your ready to run fitbite, just type `python fitbite.py`. That's it.
+
+