nilmdb/tests/test_bulkdata.py

# -*- coding: utf-8 -*-

import nilmdb
from nilmdb.utils.printf import *
from nose.tools import *
from nose.tools import assert_raises
import itertools

from testutil.helpers import *

testdb = "tests/bulkdata-testdb"

import nilmdb.server.bulkdata
from nilmdb.server.bulkdata import BulkData

class TestBulkData(object):

    def test_bulkdata(self):
        for (size, files, db) in [ ( 0, 0, testdb ),
                                       ( 25, 1000, testdb ),
                                       ( 1000, 3, testdb.decode("utf-8") ) ]:
            recursive_unlink(db)
            os.mkdir(db)
            self.do_basic(db, size, files)

    def do_basic(self, db, size, files):
        """Do the basic test with variable file_size and files_per_dir"""
        if not size or not files:
            data = BulkData(db)
        else:
            data = BulkData(db, file_size = size, files_per_dir = files)

        # Try opening it again (should result in locking error)
        with assert_raises(IOError) as e:
            data2 = BulkData(db)
        in_("already locked by another process", str(e.exception))

        # create empty
        with assert_raises(ValueError):
            data.create("/foo", "uint16_8")
        with assert_raises(ValueError):
            data.create("foo/bar", "uint16_8")
        data.create("/foo/bar", "uint16_8")
        data.create(u"/foo/baz/quux", "float64_16")
        with assert_raises(ValueError):
            data.create("/foo/bar/baz", "uint16_8")
        with assert_raises(ValueError):
            data.create("/foo/baz", "float64_16")

        # get node -- see if caching works
        nodes = []
        for i in range(5000):
            nodes.append(data.getnode("/foo/bar"))
            nodes.append(data.getnode("/foo/baz/quux"))
        del nodes

        def get_node_slice(key):
            if isinstance(key, slice):
                return [ node.get_data(x, x+1) for x in
                         xrange(*key.indices(node.nrows)) ]
            return node.get_data(key, key+1)

        # Test node
        node = data.getnode("/foo/bar")
        with assert_raises(IndexError):
            x = get_node_slice(0)
        with assert_raises(IndexError):
            x = node[0] # timestamp
        raw = []
        for i in range(1000):
            raw.append("%d 1 2 3 4 5 6 7 8\n" % (10000 + i))
        node.append_data("".join(raw[0:1]), 0, 50000)
        node.append_data("".join(raw[1:100]), 0, 50000)
        node.append_data("".join(raw[100:]), 0, 50000)

        misc_slices = [ 0, 100, slice(None), slice(0), slice(10),
                        slice(5,10), slice(3,None), slice(3,-3),
                        slice(20,10), slice(200,100,-1), slice(None,0,-1),
                        slice(100,500,5) ]

        # Extract slices
        for s in misc_slices:
            eq_(get_node_slice(s), raw[s])

        # Extract misc slices while appending, to make sure the
        # data isn't being added in the middle of the file
        for s in [2, slice(1,5), 2, slice(1,5)]:
            node.append_data("0 0 0 0 0 0 0 0 0\n", 0, 50000)
            raw.append("0 0 0 0 0 0 0 0 0\n")
            eq_(get_node_slice(s), raw[s])

        # Get some coverage of remove; remove is more fully tested
        # in cmdline
        with assert_raises(IndexError):
            node.remove(9999,9998)

        # close, reopen
        # reopen
        data.close()
        if not size or not files:
            data = BulkData(db)
        else:
            data = BulkData(db, file_size = size, files_per_dir = files)
        node = data.getnode("/foo/bar")

        # Extract slices
        for s in misc_slices:
            eq_(get_node_slice(s), raw[s])

        # destroy
        with assert_raises(ValueError):
            data.destroy("/foo")
        with assert_raises(ValueError):
            data.destroy("/foo/baz")
        with assert_raises(ValueError):
            data.destroy("/foo/qwerty")
        data.destroy("/foo/baz/quux")
        data.destroy("/foo/bar")

        # close
        data.close()