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import collections
import functools
import operator
try:
from UserDict import IterableUserDict as DictBase
except ImportError:
from collections import UserDict as DictBase
try:
import sortedcontainers
except ImportError:
from ovs.compat import sortedcontainers
from ovs.db import data
OVSDB_INDEX_ASC = "ASC"
OVSDB_INDEX_DESC = "DESC"
ColumnIndex = collections.namedtuple('ColumnIndex',
['column', 'direction', 'key'])
class MultiColumnIndex(object):
def __init__(self, name):
self.name = name
self.columns = []
self.clear()
def __repr__(self):
return "{}(name={})".format(self.__class__.__name__, self.name)
def __str__(self):
return repr(self) + " columns={} values={}".format(
self.columns, [str(v) for v in self.values])
def add_column(self, column, direction=OVSDB_INDEX_ASC, key=None):
self.columns.append(ColumnIndex(column, direction,
key or operator.attrgetter(column)))
def add_columns(self, *columns):
self.columns.extend(ColumnIndex(col, OVSDB_INDEX_ASC,
operator.attrgetter(col))
for col in columns)
def _cmp(self, a, b):
for col, direction, key in self.columns:
aval, bval = key(a), key(b)
if aval == bval:
continue
result = (aval > bval) - (aval < bval)
return result if direction == OVSDB_INDEX_ASC else -result
return 0
def index_entry_from_row(self, row):
return row._table.rows.IndexEntry(
uuid=row.uuid,
**{c.column: getattr(row, c.column) for c in self.columns})
def add(self, row):
if not all(hasattr(row, col.column) for col in self.columns):
# This is a new row, but it hasn't had the necessary columns set
# We'll add it later
return
self.values.add(self.index_entry_from_row(row))
def remove(self, row):
self.values.remove(self.index_entry_from_row(row))
def clear(self):
self.values = sortedcontainers.SortedListWithKey(
key=functools.cmp_to_key(self._cmp))
def irange(self, start, end):
return iter(r._table.rows[r.uuid]
for r in self.values.irange(start, end))
def __iter__(self):
return iter(r._table.rows[r.uuid] for r in self.values)
class IndexedRows(DictBase, object):
def __init__(self, table, *args, **kwargs):
super(IndexedRows, self).__init__(*args, **kwargs)
self.table = table
self.indexes = {}
self.IndexEntry = IndexEntryClass(table)
def index_create(self, name):
if name in self.indexes:
raise ValueError("An index named {} already exists".format(name))
index = self.indexes[name] = MultiColumnIndex(name)
return index
def __setitem__(self, key, item):
self.data[key] = item
for index in self.indexes.values():
index.add(item)
def __delitem__(self, key):
val = self.data[key]
del self.data[key]
for index in self.indexes.values():
index.remove(val)
def clear(self):
self.data.clear()
for index in self.indexes.values():
index.clear()
# Nothing uses the methods below, though they'd be easy to implement
def update(self, dict=None, **kwargs):
raise NotImplementedError()
def setdefault(self, key, failobj=None):
raise NotImplementedError()
def pop(self, key, *args):
raise NotImplementedError()
def popitem(self):
raise NotImplementedError()
@classmethod
def fromkeys(cls, iterable, value=None):
raise NotImplementedError()
def IndexEntryClass(table):
"""Create a class used represent Rows in indexes
ovs.db.idl.Row, being inherently tied to transaction processing and being
initialized with dicts of Datums, is not really useable as an object to
pass to and store in indexes. This method will create a class named after
the table's name that is initialized with that Table Row's default values.
For example:
Port = IndexEntryClass(idl.tables['Port'])
will create a Port class. This class can then be used to search custom
indexes. For example:
for port in idx.iranage(Port(name="test1"), Port(name="test9")):
...
"""
def defaults_uuid_to_row(atom, base):
return atom.value
columns = ['uuid'] + list(table.columns.keys())
cls = collections.namedtuple(table.name, columns)
cls._table = table
cls.__new__.__defaults__ = (None,) + tuple(
data.Datum.default(c.type).to_python(defaults_uuid_to_row)
for c in table.columns.values())
return cls