Adding all the other pages

.gitignore

@@ -0,0 +1,2 @@
+_site
+.jekyll-cache

_config.yml

@@ -1,5 +1,5 @@
-title: Test ERAS Doc
-description: Test ERAS API Doc for Zooniverse's Stats Service
+title: ERAS API Docs
+description: ERAS API Documentation for Zooniverse's Stats Service
 theme: just-the-docs
 
 aux_links:

examples-in-other-languages.md

@@ -0,0 +1,52 @@
+---
+title: Examples in Other Languages
+layout: page
+nav_order: 6
+---
+
+# Quick Examples in Other Languages
+
+
+## Python
+```
+import requests
+
+api_url = 'https://eras.zooniverse.org/classifications'
+headers = {'authorization': f"Bearer {_YOUR_BEARER_TOKEN_}"}
+
+user_classification_counts_url = api_url + '/users/1234'
+r = requests.get(user_classification_counts_url, headers=headers)
+
+if r.status_code == 200:
+  data = r.json()
+  # Do something with data
+else:
+  print('Error with retrieving data')
+```
+
+## Javascript
+
+The following example is an authenticated callout to `/users` where `user_id=1234`
+```
+import fetch from 'node-fetch'
+
+const apiUrl = 'https://eras.zooniverse.org/classifications'
+const headers = { authorization: `Bearer ${_YOUR_BEARER_TOKEN_}`
+}
+
+fetch(apiUrl + '/users/1234', { headers })
+  .then(response => {
+     if (!response.ok) {
+       throw new Error('Network response was not ok')
+     }
+     return response.json();
+  })
+  .then(data => {
+     console.log('Data : ', data);
+     // Do something with the data
+  })
+  .catch(error => {
+     console.error('There was an error with fetching data')
+   });
+
+```

index.md

@@ -39,94 +39,3 @@ If you are familiar with our older stats service ([https://github.com/zooniverse
         * [https://eras.zooniverse.org](https://eras.zooniverse.org) Response Example:
         * [https://stats.zooniverse.org](https://stats.zooniverse.org) Response Example:
 
-
-## Querying Classification Counts By User Group
-
-
-### What Are User Groups?
-
-As a new feature of our stats service, we introduce the idea of user groups so that a group of volunteers can set shared goals and celebrate milestones. Whether it’s a classroom, after school club, a group of friends, or corporate volunteering program, this new group feature provides new avenues for fostering community and collaboration for our volunteers and contributors.
-
-For more documentation on user groups within our stats service, you can view our documentation: here (https://github.com/zooniverse/eras/wiki/API-Callout-Examples#classificationsuser_groupsid)
-
-Our stats API allows querying for a user group’s classification stats as long as the person querying has proper authorizations to access the group statistics. _In other words, querying classification counts by user group requires an authentication token to be supplied. _
-
-This authentication token is known as a bearer token and is usually supplied as a HTTP `Authorization` header with the value prefixed by `Bearer` and then the token data.
-
-
----
-
-You can query user group classification counts filtering by any of the following:
-
-
-
-* project_id/s
-    * can search by multiple project_ids when entering a `,` separated string of ids
-    * eg. `?project_id=1,2,3,4`
-* workflow_id/s
-    * can search by multiple workflow_ids when entering a `,` separated string of ids
-    * eg. `?workflow_id=1,2,3,4`
-* Start_date
-    * Date Format must be in `YYYY-MM-DD`
-* End_date
-    * Date Format must be in `YYYY-MM-DD`
-* Period
-    * If this is a parameter, the response will include a `data` key which shows the breakdown of classification counts bucketed by your entered period.
-    * Allowable buckets are either:
-        * `day`
-        * `week`
-        * `month`
-        * `year`
-* top_contributors (integer)
-    * Limit that dictates whether your response will show top contributors of the user group
-* individual_stats_breakdown (true/false)
-    * Boolean that dictates whether your response will shows show a roster stats report per each individual member for the user group
-
-
-### Example: Query User Group Classification Counts
-
-If you were interested in the user group with user_group id=1234’s classification counts of all time. You will need your user_group_id and run the following:
-
-Response:
-
-The response for querying user group classification counts will look a bit different than the other queries from the previous examples. By default, querying user group classification counts will return the following:
-
-
-
-* Total_count
-    * Integer
-    * The total count of classifications of queried user group
-* Time_spent
-    * Float
-    * Total session time IN SECONDS of total classifications of user group
-* Active_users
-    * Integer
-    * Total active users of the user group
-    * Active users being users who have made a classification given request parameters
-* Project_contributions
-    * List
-    * List of all project contributions (project_id and count) of user group given request parameters
-    * NOTE: if `project_id` or `workflow_id` is a parameter in your request, the response will NOT include this list
-* data
-    * Only returned when `period` is a request parameter
-    * This shows the total breakdown of classifications of the user group bucketed by `period` that make up the response’s `total_count`
-
-
-### Example: Query User Group’s Group Member Stats Breakdown
-
-If you were interested in the user group with user_group id=1234’s group member stats breakdown of all time, we can utilize the `?individual_stats_breakdown=true` parameter and request the following:
-
-Response:
-
-Note that in this particular response, it returns a list of each group member’s project contributions, session time and classification count, ordered by top total classification count of members in the group.
-
-
-## Examples in Other Languages
-
-
-### Python
-
-
-### Javascript
-
-The following example is an authenticated callout to `/users` where `user_id=1234`