Merge pull request #98 from learningequality/completion_criteria

Add completion criteria.

js/CompletionCriteria.js

@@ -0,0 +1,11 @@
+// -*- coding: utf-8 -*-
+// Generated by scripts/generate_from_specs.py
+// CompletionCriteria
+
+export default {
+    approx_time: "approx_time",
+    mastery: "mastery",
+    pages: "pages",
+    reference: "reference",
+    time: "time",
+};

le_utils/constants/completion_criteria.py

@@ -0,0 +1,27 @@
+# -*- coding: utf-8 -*-
+# Generated by scripts/generate_from_specs.py
+from __future__ import unicode_literals
+
+# CompletionCriteria
+
+approx_time = "approx_time"
+mastery = "mastery"
+pages = "pages"
+reference = "reference"
+time = "time"
+
+choices = (
+    (approx_time, "Approx Time"),
+    (mastery, "Mastery"),
+    (pages, "Pages"),
+    (reference, "Reference"),
+    (time, "Time"),
+)
+
+COMPLETIONCRITERIALIST = [
+    approx_time,
+    mastery,
+    pages,
+    reference,
+    time,
+]

scripts/generate_from_specs.py

@@ -45,6 +45,10 @@ def pascal_to_snake(name):
     return pascal_case_pattern.sub("_", name).lower()
 
 
+def snake_to_pascal(name):
+    return "".join(a.title() for a in name.split("_"))
+
+
 CHARACTERS = string.ascii_letters + string.digits + "#" + "&"
 
 
@@ -145,7 +149,7 @@ def read_constants_specs():
     for constants_spec_file in constants_spec_files:
         with open(constants_spec_file) as json_constants_spec_file:
             constants_spec = json.load(json_constants_spec_file)
-            key = constants_spec_file.split("-")[-1].split(".")[0].title()
+            key = snake_to_pascal(constants_spec_file.split("-")[-1].split(".")[0])
             constants_outputs[key] = OrderedDict(
                 [(a, a) for a in sorted(constants_spec)]
             )

spec/constants-completion_criteria.json

@@ -0,0 +1,7 @@
+[
+    "time",
+    "approx_time",
+    "pages",
+    "mastery",
+    "reference"
+]