more learning unit tests

anki/sched.py

@@ -201,13 +201,13 @@ limit %d""" % self.learnLimit, lim=self.dayCutoff)
             return conf['lapse']
 
     def rescheduleAsReview(self, card, conf, early):
-        card.queue = 1
-        card.type = 1
         if card.type == 1:
             # failed; put back entry due
             card.due = card.edue
         else:
             self.rescheduleNew(card, conf, early)
+        card.queue = 1
+        card.type = 1
 
     def rescheduleNew(self, card, conf, early):
         if not early:
@@ -219,7 +219,8 @@ limit %d""" % self.learnLimit, lim=self.dayCutoff)
         else:
             # first time bonus
             int_ = conf['ints'][1]
-        card.interval = int_
+        card.ivl = int_
+        card.due = self.today+int_
         card.factor = conf['initialFactor']
 
     def logLearn(self, card, ease, conf, leaving):

tests/test_sched.py

@@ -94,6 +94,39 @@ def test_learn():
     d.sched.answerCard(c, 2)
     assert c.queue == 1
     assert c.type == 1
-    print "test intervals, check early removal, etc"
-
-
+    # should be due tomorrow, with an interval of 1
+    assert c.due == d.sched.today+1
+    assert c.ivl == 1
+    # let's try early removal bonus
+    c.type = 2
+    c.queue = 0
+    c.cycles = 0
+    d.sched.answerCard(c, 3)
+    assert c.type == 1
+    assert c.ivl == 7
+    # or normal removal
+    c.type = 2
+    c.queue = 0
+    c.cycles = 1
+    d.sched.answerCard(c, 3)
+    assert c.type == 1
+    assert c.ivl == 4
+    # revlog should have been updated each time
+    d.db.scalar("select count() from revlog where type = 0") == 6
+    # now failed card handling
+    c.type = 1
+    c.queue = 0
+    c.edue = 123
+    d.sched.answerCard(c, 3)
+    assert c.due == 123
+    assert c.type == 1
+    assert c.queue == 1
+    # we should be able to remove manually, too
+    c.type = 1
+    c.queue = 0
+    c.edue = 321
+    c.flush()
+    d.sched.removeFailed()
+    c.load()
+    assert c.queue == 1
+    assert c.due == 321