#!/usr/bin/env python
#
# Public Domain 2014-present MongoDB, Inc.
# Public Domain 2008-2014 WiredTiger, Inc.
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import itertools, wiredtiger, wttest
from suite_subprocess import suite_subprocess
from wiredtiger import stat

from wtdataset import SimpleDataSet, ComplexDataSet, ComplexLSMDataSet
from wtscenario import make_scenarios

# test_stat03.py
#    Statistics reset test.
class test_stat_cursor_reset(wttest.WiredTigerTestCase):
    pfx = 'test_stat_cursor_reset'
    uri = [
        ('file-simple', dict(uri='file:' + pfx, dataset=SimpleDataSet)),
        ('table-simple', dict(uri='table:' + pfx, dataset=SimpleDataSet)),
        ('table-complex', dict(uri='table:' + pfx, dataset=ComplexDataSet)),
        ('table-complex-lsm', dict(uri='table:' + pfx,
            dataset=ComplexLSMDataSet))
    ]

    scenarios = make_scenarios(uri)
    conn_config = 'statistics=(all)'

    def stat_cursor(self, uri):
        return self.session.open_cursor(
            'statistics:' + uri, None, 'statistics=(all)')

    def test_stat_cursor_reset(self):
        n = 100
        ds = self.dataset(self, self.uri, n)
        ds.populate()

        # The number of btree_entries reported is influenced by the
        # number of column groups and indices.  Each insert will have
        # a multiplied effect.
        if self.dataset == SimpleDataSet:
            multiplier = 1   # no declared colgroup is like one big colgroup
        else:
            multiplier = ds.colgroup_count() +  ds.index_count()
        statc = self.stat_cursor(self.uri)
        self.assertEqual(statc[stat.dsrc.btree_entries][2], n * multiplier)

        c = self.session.open_cursor(self.uri)
        c.set_key(ds.key(200))
        c.set_value(ds.value(200))
        c.insert()

        # Test that cursor reset re-loads the values.
        self.assertEqual(statc[stat.dsrc.btree_entries][2], n * multiplier)
        statc.reset()
        n += 1
        self.assertEqual(statc[stat.dsrc.btree_entries][2], n * multiplier)

        # For applications with indices and/or column groups, verify
        # that there is a way to count the base number of entries.
        if self.dataset != SimpleDataSet:
            statc.close()
            statc = self.stat_cursor(ds.index_name(0))
            self.assertEqual(statc[stat.dsrc.btree_entries][2], n)
            statc.close()
            statc = self.stat_cursor(ds.colgroup_name(0))
            self.assertEqual(statc[stat.dsrc.btree_entries][2], n)
        statc.close()

if __name__ == '__main__':
    wttest.run()