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