class Graph(object):
"""A class for representing metadata of a graph in the GraphScope.
A :class:`Graph` object holds the metadata of a graph, such as key, schema, and the graph is directed or not.
It is worth noting that the graph is stored by the backend such as Analytical Engine, Vineyard.
In other words, the graph object holds nothing but metadata.
The graph object should not be created directly from :class:`Graph`.
Instead, the graph should be created by `Session.load_from`
The following example demonstrates its usage:
.. code:: python
>>> import graphscope as gs
>>> from graphscope.framework.loader import Loader
>>> sess = gs.session()
>>> g = sess.load_from(
... edges={
... "knows": (
... Loader("{}/p2p-31_property_e_0".format(property_dir), header_row=True),
... ["src_label_id", "dst_label_id", "dist"],
... ("src_id", "person"),
... ("dst_id", "person"),
... ),
... },
... vertices={
... "person": Loader(
... "{}/p2p-31_property_v_0".format(property_dir), header_row=True
... ),
... }
... )
"""
def __init__(self, session_id, incoming_data=None):
"""Construct a :class:`Graph` object.
Args:
session_id (str): Session id of the session the graph is created in.
incoming_data: Graph can be initialized through various type of sources,
which can be one of:
- :class:`GraphDef`
- :class:`nx.Graph`
- :class:`Graph`
- :class:`VineyardObject`
"""
# Don't import the :code:`NXGraph` in top-level statments to improve the
# performance of :code:`import graphscope`.
from graphscope.experimental.nx.classes.graph import Graph as NXGraph
self._key = None
self._op = None
self._graph_type = None
self.directed = False
self._vineyard_id = 0
self._schema = GraphSchema()
self._session_id = session_id
self._detached = False
self._interactive_instance_list = []
self._learning_instance_list = []
if isinstance(incoming_data, GraphDef):
graph_def = incoming_data
elif isinstance(incoming_data, NXGraph):
graph_def = self._from_nx_graph(incoming_data)
elif isinstance(incoming_data, Graph):
graph_def = self._copy_from(incoming_data)
elif isinstance(incoming_data, VineyardObject):
graph_def = self._from_vineyard(incoming_data)
else:
raise ValueError(
"Failed to create a graph on graphscope engine: %s", incoming_data
)
if graph_def:
self._key = graph_def.key
self._vineyard_id = graph_def.vineyard_id
self._graph_type = graph_def.graph_type
self._directed = graph_def.directed
self._schema.get_schema_from_def(graph_def.schema_def)
self._schema_path = graph_def.schema_path
# init saved_signature (must be after init schema)
self._saved_signature = self.signature
def __del__(self):
# cleanly ignore all exceptions, cause session may already closed / destroyed.
try:
self.unload()
except Exception: # pylint: disable=broad-except
pass
def _close_interactive_instances(self):
# Close related interactive instances when graph unloaded.
# Since the graph is gone, quering via interactive client is meaningless.
for instance in self._interactive_instance_list:
instance.close()
self._interactive_instance_list.clear()
def _close_learning_instances(self):
for instance in self._learning_instance_list:
instance.close()
self._learning_instance_list.clear()
@property
def op(self):
"""The DAG op of this graph."""
return self._op
@property
def key(self):
"""The key of the corresponding graph in engine."""
return self._key
@property
def graph_type(self):
"""The type of the graph object.
Returns:
type (`types_pb2.GraphType`): the type of the graph.
"""
return self._graph_type
@property
def schema(self):
"""Schema of the graph.
Returns:
:class:`GraphSchema`: the schema of the graph
"""
return self._schema
@property
def schema_path(self):
"""Path that Coordinator will write interactive schema path to.
Returns:
str: The path contains the schema. for interactive engine.
"""
return self._schema_path
@property
def signature(self):
if self._key is None:
raise RuntimeError("graph should be registered in remote.")
return hashlib.sha256(
"{}.{}".format(self._schema.signature(), self._key).encode("utf-8")
).hexdigest()
@property
def template_sigature(self):
if self._key is None:
raise RuntimeError("graph should be registered in remote.")
return hashlib.sha256(
"{}.{}.{}.{}.{}".format(
self._graph_type,
self._schema.oid_type,
self._schema.vid_type,
self._schema.vdata_type,
self._schema.edata_type,
).encode("utf-8")
).hexdigest()
@property
def vineyard_id(self):
"""Get the vineyard object_id of this graph.
Returns:
str: return vineyard id of this graph
"""
return self._vineyard_id
@property
def session_id(self):
"""Get the currrent session_id.
Returns:
str: Return session id that the graph belongs to.
"""
return self._session_id
def detach(self):
"""Detaching a graph makes it being left in vineyard even when the varaible for
this :class:`Graph` object leaves the lexical scope.
The graph can be accessed using the graph's :code:`ObjectID` or its name later.
"""
self._detached = True
def loaded(self):
return self._key is not None
def __repr__(self):
return "<grape.Graph '%s'>" % self._key
def unload(self):
"""Unload this graph from graphscope engine."""
if not self.loaded():
raise RuntimeError("The graph is not registered in remote.")
# close interactive instances first
try:
self._close_interactive_instances()
except Exception as e:
logger.error("Failed to close interactive instances: %s" % e)
try:
self._close_learning_instances()
except Exception as e:
logger.error("Failed to close learning instances: %s" % e)
if not self._detached:
op = unload_graph(self)
op.eval()
self._key = None
def project_to_simple(self, v_label="_", e_label="_", v_prop=None, e_prop=None):
"""Project a property graph to a simple graph, useful for analytical engine.
Will translate name represented label or property to index, which is broadedly used
in internal engine.
Args:
v_label (str, optional): vertex label to project. Defaults to "_".
e_label (str, optional): edge label to project. Defaults to "_".
v_prop (str, optional): vertex property of the v_label. Defaults to None.
e_prop (str, optional): edge property of the e_label. Defaults to None.
Returns:
:class:`Graph`: A `Graph` instance, which graph_type is `ARROW_PROJECTED`
"""
if not self.loaded():
raise RuntimeError(
"The graph is not registered in remote, and can't project to simple"
)
self.check_unmodified()
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
check_argument(isinstance(v_label, (int, str)))
check_argument(isinstance(e_label, (int, str)))
def check_out_of_range(id, length):
if id < length and id > -1:
return id
else:
raise KeyError("id {} is out of range.".format(id))
try:
v_label_id = (
check_out_of_range(v_label, self._schema.vertex_label_num)
if isinstance(v_label, int)
else self._schema.vertex_label_index(v_label)
)
except ValueError as e:
raise ValueError(
"graph not contains the vertex label {}.".format(v_label)
) from e
try:
e_label_id = (
check_out_of_range(e_label, self._schema.edge_label_num)
if isinstance(e_label, int)
else self._schema.edge_label_index(e_label)
)
except ValueError as e:
raise InvalidArgumentError(
"graph not contains the edge label {}.".format(e_label)
) from e
if v_prop is None:
# NB: -1 means vertex property is None
v_prop_id = -1
v_properties = None
else:
check_argument(isinstance(v_prop, (int, str)))
v_properties = self._schema.vertex_properties[v_label_id]
try:
v_prop_id = (
check_out_of_range(v_prop, len(v_properties))
if isinstance(v_prop, int)
else self._schema.vertex_property_index(v_label_id, v_prop)
)
except ValueError as e:
raise ValueError(
"vertex label {} not contains the property {}".format(
v_label, v_prop
)
) from e
if e_prop is None:
# NB: -1 means edge property is None
e_prop_id = -1
e_properties = None
else:
check_argument(isinstance(e_prop, (int, str)))
e_properties = self._schema.edge_properties[e_label_id]
try:
e_prop_id = (
check_out_of_range(e_prop, len(e_properties))
if isinstance(e_prop, int)
else self._schema.edge_property_index(e_label_id, e_prop)
)
except ValueError as e:
raise ValueError(
"edge label {} not contains the property {}".format(e_label, e_prop)
) from e
oid_type = self._schema.oid_type
vid_type = self._schema.vid_type
vdata_type = None
if v_properties:
vdata_type = list(v_properties.values())[v_prop_id]
edata_type = None
if e_properties:
edata_type = list(e_properties.values())[e_prop_id]
op = project_arrow_property_graph(
self,
v_label_id,
v_prop_id,
e_label_id,
e_prop_id,
vdata_type,
edata_type,
oid_type,
vid_type,
)
graph_def = op.eval()
return Graph(self.session_id, graph_def)
def add_column(self, results, selector):
"""Add the results as a column to the graph. Modification rules are given by the selector.
Args:
results (:class:`Context`): A `Context` that created by doing a query.
selector (dict): Select results to add as column. Format is similar to selectors in `Context`
Returns:
:class:`Graph`: A new `Graph` with new columns.
"""
check_argument(
isinstance(selector, Mapping), "selector of add column must be a dict"
)
self.check_unmodified()
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
selector = {
key: results._transform_selector(value) for key, value in selector.items()
}
selector = json.dumps(selector)
op = add_column(self, results, selector)
graph_def = op.eval()
return Graph(self.session_id, graph_def)
def to_numpy(self, selector, vertex_range=None):
"""Select some elements of the graph and output to numpy.
Args:
selector (str): Select a portion of graph as a numpy.ndarray.
vertex_range(dict, optional): Slice vertices. Defaults to None.
Returns:
`numpy.ndarray`
"""
self.check_unmodified()
selector = transform_labeled_vertex_property_data_selector(self, selector)
vertex_range = transform_vertex_range(vertex_range)
op = graph_to_numpy(self, selector, vertex_range)
ret = op.eval()
return decode_numpy(ret)
def to_dataframe(self, selector, vertex_range=None):
"""Select some elements of the graph and output as a pandas.DataFrame
Args:
selector (dict): Select some portions of graph.
vertex_range (dict, optional): Slice vertices. Defaults to None.
Returns:
`pandas.DataFrame`
"""
self.check_unmodified()
check_argument(
isinstance(selector, Mapping),
"selector of to_vineyard_dataframe must be a dict",
)
selector = {
key: transform_labeled_vertex_property_data_selector(self, value)
for key, value in selector.items()
}
selector = json.dumps(selector)
vertex_range = transform_vertex_range(vertex_range)
op = graph_to_dataframe(self, selector, vertex_range)
ret = op.eval()
return decode_dataframe(ret)
def is_directed(self):
return self._directed
def check_unmodified(self):
check_argument(
self.signature == self._saved_signature, "Graph has been modified!"
)
def _from_nx_graph(self, incoming_graph):
"""Create a gs graph from a nx graph.
Args:
incoming_graph (:class:`nx.graph`): A nx graph that contains graph data.
Returns:
that will be used to construct a gs.Graph
Raises:
TypeError: Raise Error if graph type not match.
Examples:
>>> nx_g = nx.path_graph(10)
>>> gs_g = gs.Graph(nx_g)
"""
if hasattr(incoming_graph, "_graph"):
msg = "graph view can not convert to gs graph"
raise TypeError(msg)
op = dynamic_to_arrow(incoming_graph)
graph_def = op.eval()
return graph_def
def _copy_from(self, incoming_graph):
"""Copy a graph.
Args:
incoming_graph (:class:`Graph`): Source graph to be copied from
Returns:
:class:`Graph`: An identical graph, but with a new vineyard id.
"""
check_argument(incoming_graph.graph_type == types_pb2.ARROW_PROPERTY)
check_argument(incoming_graph.loaded())
op = copy_graph(incoming_graph)
graph_def = op.eval()
return graph_def
def _from_vineyard(self, vineyard_object):
"""Load a graph from a already existed vineyard graph.
Args:
vineyard_object (:class:`VineyardObject`): vineyard object, which contains a graph.
Returns:
A graph_def.
"""
if vineyard_object.object_id is not None:
return self._from_vineyard_id(vineyard_object.object_id)
elif vineyard_object.object_name is not None:
return self._from_vineyard_name(vineyard_object.object_name)
def _from_vineyard_id(self, vineyard_id):
config = {}
config[types_pb2.IS_FROM_VINEYARD_ID] = b_to_attr(True)
config[types_pb2.VINEYARD_ID] = i_to_attr(vineyard_id)
# FIXME(hetao) hardcode oid/vid type for codegen, when loading from vineyard
#
# the metadata should be retrived from vineyard
config[types_pb2.OID_TYPE] = s_to_attr("int64_t")
config[types_pb2.VID_TYPE] = s_to_attr("uint64_t")
op = create_graph(self._session_id, types_pb2.ARROW_PROPERTY, attrs=config)
graph_def = op.eval()
return graph_def
def _from_vineyard_name(self, vineyard_name):
config = {}
config[types_pb2.IS_FROM_VINEYARD_ID] = b_to_attr(True)
config[types_pb2.VINEYARD_NAME] = s_to_attr(vineyard_name)
# FIXME(hetao) hardcode oid/vid type for codegen, when loading from vineyard
#
# the metadata should be retrived from vineyard
config[types_pb2.OID_TYPE] = s_to_attr("int64_t")
config[types_pb2.VID_TYPE] = s_to_attr("uint64_t")
op = create_graph(self._session_id, types_pb2.ARROW_PROPERTY, attrs=config)
graph_def = op.eval()
return graph_def
def attach_interactive_instance(self, instance):
"""Store the instance when a new interactive instance is started.
Args:
instance: interactive instance
"""
self._interactive_instance_list.append(instance)
def attach_learning_instance(self, instance):
"""Store the instance when a new learning instance is created.
Args:
instance: learning instance
"""
self._learning_instance_list.append(instance)
class Graph(object):
"""A class for representing metadata of a graph in the GraphScope.
A :class:`Graph` object holds the metadata of a graph, such as key, schema, and the graph is directed or not.
It is worth noting that the graph is stored by the backend such as Analytical Engine, Vineyard.
In other words, the graph object holds nothing but metadata.
The following example demonstrates its usage:
.. code:: python
>>> import graphscope as gs
>>> from graphscope.framework.loader import Loader
>>> sess = gs.session()
>>> graph = sess.g()
>>> graph = graph.add_vertices("person.csv","person")
>>> graph = graph.add_vertices("software.csv", "software")
>>> graph = graph.add_edges("knows.csv", "knows", src_label="person", dst_label="person")
>>> graph = graph.add_edges("created.csv", "created", src_label="person", dst_label="software")
>>> print(graph)
>>> print(graph.schema)
"""
def __init__(
self,
session,
incoming_data=None,
oid_type="int64",
directed=True,
generate_eid=True,
):
"""Construct a :class:`Graph` object.
Args:
session_id (str): Session id of the session the graph is created in.
incoming_data: Graph can be initialized through various type of sources,
which can be one of:
- :class:`Operation`
- :class:`nx.Graph`
- :class:`Graph`
- :class:`vineyard.Object`, :class:`vineyard.ObjectId` or :class:`vineyard.ObjectName`
"""
self._key = None
self._graph_type = types_pb2.ARROW_PROPERTY
self._vineyard_id = 0
self._schema = GraphSchema()
self._session = session
self._detached = False
self._interactive_instance_launching_thread = None
self._interactive_instance_list = []
self._learning_instance_list = []
# Hold uncompleted operation for lazy evaluation
self._pending_op = None
# Hold a reference to base graph of modify operation,
# to avoid being garbage collected
self._base_graph = None
oid_type = utils.normalize_data_type_str(oid_type)
if oid_type not in ("int64_t", "std::string"):
raise ValueError("oid_type can only be int64_t or string.")
self._oid_type = oid_type
self._directed = directed
self._generate_eid = generate_eid
self._unsealed_vertices = {}
self._unsealed_edges = {}
# Used to isplay schema without load into vineyard,
# and do sanity checking for newly added vertices and edges.
self._v_labels = []
self._e_labels = []
self._e_relationships = []
if incoming_data is not None:
# Don't import the :code:`NXGraph` in top-level statements to improve the
# performance of :code:`import graphscope`.
from graphscope.experimental import nx
if isinstance(incoming_data, Operation):
self._pending_op = incoming_data
if self._pending_op.type == types_pb2.PROJECT_GRAPH:
self._graph_type = types_pb2.ARROW_PROJECTED
elif isinstance(incoming_data, nx.Graph):
self._pending_op = self._from_nx_graph(incoming_data)
elif isinstance(incoming_data, Graph):
self._pending_op = self._copy_from(incoming_data)
elif isinstance(
incoming_data,
(vineyard.Object, vineyard.ObjectID, vineyard.ObjectName)):
self._pending_op = self._from_vineyard(incoming_data)
else:
raise RuntimeError("Not supported incoming data.")
def __del__(self):
# cleanly ignore all exceptions, cause session may already closed / destroyed.
try:
self.unload()
except Exception: # pylint: disable=broad-except
pass
def _close_interactive_instances(self):
# Close related interactive instances when graph unloaded.
# Since the graph is gone, quering via interactive client is meaningless.
for instance in self._interactive_instance_list:
instance.close()
self._interactive_instance_list.clear()
def _close_learning_instances(self):
for instance in self._learning_instance_list:
instance.close()
self._learning_instance_list.clear()
def _launch_interactive_instance_impl(self):
try:
self._session.gremlin(self)
except: # noqa: E722
# Record error msg in `InteractiveQuery` when launching failed.
# Unexpect and suppress all exceptions here.
pass
def _from_graph_def(self, graph_def):
check_argument(self._graph_type == graph_def.graph_type,
"Graph type doesn't match.")
self._key = graph_def.key
self._vineyard_id = graph_def.vineyard_id
self._oid_type = graph_def.schema_def.oid_type
self._directed = graph_def.directed
self._generate_eid = graph_def.generate_eid
self._schema_path = graph_def.schema_path
self._schema.get_schema_from_def(graph_def.schema_def)
self._v_labels = self._schema.vertex_labels
self._e_labels = self._schema.edge_labels
self._e_relationships = self._schema.edge_relationships
def _ensure_loaded(self):
if self._key is not None and self._pending_op is None:
return
# Unloaded
if self._session is None:
raise RuntimeError("The graph is not loaded")
# Empty graph
if self._key is None and self._pending_op is None:
raise RuntimeError("Empty graph.")
# Try to load
if self._pending_op is not None:
# Create a graph from scratch.
graph_def = self._pending_op.eval()
self._from_graph_def(graph_def)
self._pending_op = None
self._base_graph = None
self._unsealed_vertices.clear()
self._unsealed_edges.clear()
# init saved_signature (must be after init schema)
self._saved_signature = self.signature
# create gremlin server pod asynchronously
if gs_config.initializing_interactive_engine:
self._interactive_instance_launching_thread = threading.Thread(
target=self._launch_interactive_instance_impl, args=())
self._interactive_instance_launching_thread.start()
@property
def key(self):
"""The key of the corresponding graph in engine."""
self._ensure_loaded()
return self._key
@property
def graph_type(self):
"""The type of the graph object.
Returns:
type (`types_pb2.GraphType`): the type of the graph.
"""
return self._graph_type
@property
def schema(self):
"""Schema of the graph.
Returns:
:class:`GraphSchema`: the schema of the graph
"""
self._ensure_loaded()
return self._schema
@property
def schema_path(self):
"""Path that Coordinator will write interactive schema path to.
Returns:
str: The path contains the schema. for interactive engine.
"""
self._ensure_loaded()
return self._schema_path
@property
def signature(self):
self._ensure_loaded()
return hashlib.sha256("{}.{}".format(
self._schema.signature(), self._key).encode("utf-8")).hexdigest()
@property
def template_str(self):
self._ensure_loaded()
# transform str/string to std::string
oid_type = utils.normalize_data_type_str(self._oid_type)
vid_type = self._schema.vid_type
vdata_type = utils.data_type_to_cpp(self._schema.vdata_type)
edata_type = utils.data_type_to_cpp(self._schema.edata_type)
if self._graph_type == types_pb2.ARROW_PROPERTY:
template = f"vineyard::ArrowFragment<{oid_type},{vid_type}>"
elif self._graph_type == types_pb2.ARROW_PROJECTED:
template = f"gs::ArrowProjectedFragment<{oid_type},{vid_type},{vdata_type},{edata_type}>"
elif self._graph_type == types_pb2.DYNAMIC_PROJECTED:
template = f"gs::DynamicProjectedFragment<{vdata_type},{edata_type}>"
else:
raise ValueError(f"Unsupported graph type: {self._graph_type}")
return template
@property
def vineyard_id(self):
"""Get the vineyard object_id of this graph.
Returns:
str: return vineyard id of this graph
"""
self._ensure_loaded()
return self._vineyard_id
@property
def session_id(self):
"""Get the currrent session_id.
Returns:
str: Return session id that the graph belongs to.
"""
return self._session.session_id
def detach(self):
"""Detaching a graph makes it being left in vineyard even when the varaible for
this :class:`Graph` object leaves the lexical scope.
The graph can be accessed using the graph's :code:`ObjectID` or its name later.
"""
self._detached = True
def loaded(self):
try:
self._ensure_loaded()
except RuntimeError:
return False
return self._key is not None
def __str__(self):
v_str = "\n".join([f"VERTEX: {label}" for label in self._v_labels])
relations = []
for i in range(len(self._e_labels)):
relations.extend([(self._e_labels[i], src, dst)
for src, dst in self._e_relationships[i]])
e_str = "\n".join([
f"EDGE: {label}\tsrc: {src}\tdst: {dst}"
for label, src, dst in relations
])
return f"graphscope.Graph\n{types_pb2.GraphType.Name(self._graph_type)}\n{v_str}\n{e_str}"
def __repr__(self):
return self.__str__()
def unload(self):
"""Unload this graph from graphscope engine."""
if self._session is None:
raise RuntimeError("The graph is not loaded")
if self._key is None:
self._session = None
self._pending_op = None
return
# close interactive instances first
try:
if (self._interactive_instance_launching_thread is not None and
self._interactive_instance_launching_thread.is_alive()):
# join raises a RuntimeError if an attempt is made to join the current thread.
# this exception occurs when a object collected by gc mechanism contains a running thread.
if (threading.current_thread() !=
self._interactive_instance_launching_thread):
self._interactive_instance_launching_thread.join()
self._close_interactive_instances()
except Exception as e:
logger.error("Failed to close interactive instances: %s" % e)
try:
self._close_learning_instances()
except Exception as e:
logger.error("Failed to close learning instances: %s" % e)
if not self._detached:
op = dag_utils.unload_graph(self)
op.eval()
self._key = None
self._session = None
self._pending_op = None
def project_to_simple(self,
v_label="_",
e_label="_",
v_prop=None,
e_prop=None):
"""Project a property graph to a simple graph, useful for analytical engine.
Will translate name represented label or property to index, which is broadedly used
in internal engine.
Args:
v_label (str, optional): vertex label to project. Defaults to "_".
e_label (str, optional): edge label to project. Defaults to "_".
v_prop (str, optional): vertex property of the v_label. Defaults to None.
e_prop (str, optional): edge property of the e_label. Defaults to None.
Returns:
:class:`Graph`: A `Graph` instance, which graph_type is `ARROW_PROJECTED`
"""
self._ensure_loaded()
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
self._check_unmodified()
def check_out_of_range(id, length):
if id >= length or id < 0:
raise IndexError("id {} is out of range.".format(id))
try:
if isinstance(v_label, str):
v_label_id = self._schema.vertex_label_index(v_label)
else:
v_label_id = v_label
check_out_of_range(v_label_id, self._schema.vertex_label_num)
v_label = self._schema.vertex_labels[v_label_id]
if isinstance(e_label, str):
e_label_id = self._schema.edge_label_index(e_label)
else:
e_label_id = e_label
check_out_of_range(e_label_id, self._schema.edge_label_num)
e_label = self._schema.edge_labels[e_label]
except ValueError as e:
raise ValueError("Label does not exists.") from e
# Check relation v_label -> e_label <- v_label exists.
relation = (v_label, v_label)
if relation not in self._schema.edge_relationships[e_label_id]:
raise ValueError(
f"Graph doesn't contain such relationship: {v_label} -> {e_label} <- {v_label}."
)
try:
if v_prop is None:
v_prop_id = -1
vdata_type = None
else:
if isinstance(v_prop, str):
v_prop_id = self._schema.vertex_property_index(
v_label_id, v_prop)
else:
v_prop_id = v_prop
properties = self._schema.vertex_properties[v_label_id]
check_out_of_range(v_prop_id, len(properties))
vdata_type = list(properties.values())[v_prop_id]
if e_prop is None:
e_prop_id = -1
edata_type = None
else:
if isinstance(e_prop, str):
e_prop_id = self._schema.edge_property_index(
e_label_id, e_prop)
else:
e_prop_id = e_prop
properties = self._schema.edge_properties[e_label_id]
check_out_of_range(e_prop_id, len(properties))
edata_type = list(properties.values())[e_prop_id]
except ValueError as e:
raise ValueError("Property does not exists.") from e
oid_type = self._schema.oid_type
vid_type = self._schema.vid_type
op = dag_utils.project_arrow_property_graph(
self,
v_label_id,
v_prop_id,
e_label_id,
e_prop_id,
vdata_type,
edata_type,
oid_type,
vid_type,
)
return Graph(self._session, op)
def add_column(self, results, selector):
"""Add the results as a column to the graph. Modification rules are given by the selector.
Args:
results (:class:`Context`): A `Context` that created by doing a query.
selector (dict): Select results to add as column. Format is similar to selectors in `Context`
Returns:
:class:`Graph`: A new `Graph` with new columns.
"""
self._ensure_loaded()
check_argument(isinstance(selector, Mapping),
"selector of add column must be a dict")
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
self._check_unmodified()
selector = {
key: results._transform_selector(value)
for key, value in selector.items()
}
selector = json.dumps(selector)
op = dag_utils.add_column(self, results, selector)
return Graph(self._session, op)
def to_numpy(self, selector, vertex_range=None):
"""Select some elements of the graph and output to numpy.
Args:
selector (str): Select a portion of graph as a numpy.ndarray.
vertex_range(dict, optional): Slice vertices. Defaults to None.
Returns:
`numpy.ndarray`
"""
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
self._ensure_loaded()
self._check_unmodified()
selector = utils.transform_labeled_vertex_property_data_selector(
self, selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_numpy(self, selector, vertex_range)
ret = op.eval()
return utils.decode_numpy(ret)
def to_dataframe(self, selector, vertex_range=None):
"""Select some elements of the graph and output as a pandas.DataFrame
Args:
selector (dict): Select some portions of graph.
vertex_range (dict, optional): Slice vertices. Defaults to None.
Returns:
`pandas.DataFrame`
"""
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
self._ensure_loaded()
self._check_unmodified()
check_argument(
isinstance(selector, Mapping),
"selector of to_vineyard_dataframe must be a dict",
)
selector = {
key:
utils.transform_labeled_vertex_property_data_selector(self, value)
for key, value in selector.items()
}
selector = json.dumps(selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_dataframe(self, selector, vertex_range)
ret = op.eval()
return utils.decode_dataframe(ret)
def is_directed(self):
self._ensure_loaded()
return self._directed
def _check_unmodified(self):
self._ensure_loaded()
check_argument(self.signature == self._saved_signature,
"Graph has been modified!")
def _from_nx_graph(self, incoming_graph):
"""Create a gs graph from a nx graph.
Args:
incoming_graph (:class:`nx.graph`): A nx graph that contains graph data.
Returns:
that will be used to construct a gs.Graph
Raises:
TypeError: Raise Error if graph type not match.
Examples:
>>> nx_g = nx.path_graph(10)
>>> gs_g = gs.Graph(nx_g)
"""
if hasattr(incoming_graph, "_graph"):
msg = "graph view can not convert to gs graph"
raise TypeError(msg)
return dag_utils.dynamic_to_arrow(incoming_graph)
def _copy_from(self, incoming_graph):
"""Copy a graph.
Args:
incoming_graph (:class:`Graph`): Source graph to be copied from
Returns:
:class:`Graph`: An identical graph, but with a new vineyard id.
"""
check_argument(incoming_graph.graph_type == types_pb2.ARROW_PROPERTY)
check_argument(incoming_graph.loaded())
return dag_utils.copy_graph(incoming_graph)
def _from_vineyard(self, vineyard_object):
"""Load a graph from a already existed vineyard graph.
Args:
vineyard_object (:class:`vineyard.Object`, :class:`vineyard.ObjectID`
or :class:`vineyard.ObjectName`): vineyard object,
which represents a graph.
Returns:
A graph_def.
"""
if isinstance(vineyard_object, vineyard.Object):
return self._from_vineyard_id(vineyard_object.id)
if isinstance(vineyard_object, vineyard.ObjectID):
return self._from_vineyard_id(vineyard_object)
if isinstance(vineyard_object, vineyard.ObjectName):
return self._from_vineyard_name(vineyard_object)
def _from_vineyard_id(self, vineyard_id):
config = {}
config[types_pb2.IS_FROM_VINEYARD_ID] = utils.b_to_attr(True)
config[types_pb2.VINEYARD_ID] = utils.i_to_attr(int(vineyard_id))
# FIXME(hetao) hardcode oid/vid type for codegen, when loading from vineyard
#
# the metadata should be retrived from vineyard
config[types_pb2.OID_TYPE] = utils.s_to_attr("int64_t")
config[types_pb2.VID_TYPE] = utils.s_to_attr("uint64_t")
return dag_utils.create_graph(self.session_id,
types_pb2.ARROW_PROPERTY,
attrs=config)
def _from_vineyard_name(self, vineyard_name):
config = {}
config[types_pb2.IS_FROM_VINEYARD_ID] = utils.b_to_attr(True)
config[types_pb2.VINEYARD_NAME] = utils.s_to_attr(str(vineyard_name))
# FIXME(hetao) hardcode oid/vid type for codegen, when loading from vineyard
#
# the metadata should be retrived from vineyard
config[types_pb2.OID_TYPE] = utils.s_to_attr("int64_t")
config[types_pb2.VID_TYPE] = utils.s_to_attr("uint64_t")
return dag_utils.create_graph(self.session_id,
types_pb2.ARROW_PROPERTY,
attrs=config)
def _attach_interactive_instance(self, instance):
"""Store the instance when a new interactive instance is started.
Args:
instance: interactive instance
"""
self._interactive_instance_list.append(instance)
def _attach_learning_instance(self, instance):
"""Store the instance when a new learning instance is created.
Args:
instance: learning instance
"""
self._learning_instance_list.append(instance)
def save_to(self, path, **kwargs):
"""Serialize graph to a location.
The meta and data of graph is dumped to specified location,
and can be restored by `Graph.deserialize` in other sessions.
Each worker will write a `path_{worker_id}.meta` file and
a `path_{worker_id}` file to storage.
Args:
path (str): supported storages are local, hdfs, oss, s3
"""
import vineyard
import vineyard.io
self._ensure_loaded()
sess = self._session
deployment = "kubernetes" if sess.info["type"] == "k8s" else "ssh"
conf = sess.info["engine_config"]
vineyard_endpoint = conf["vineyard_rpc_endpoint"]
vineyard_ipc_socket = conf["vineyard_socket"]
if sess.info["type"] == "k8s":
hosts = [
"{}:{}".format(sess.info["namespace"], s)
for s in sess.info["engine_hosts"].split(",")
]
else: # type == "hosts"
hosts = sess.info["engine_hosts"].split(",")
vineyard.io.serialize(
path,
vineyard.ObjectID(self._vineyard_id),
type="global",
vineyard_ipc_socket=vineyard_ipc_socket,
vineyard_endpoint=vineyard_endpoint,
storage_options=kwargs,
deployment=deployment,
hosts=hosts,
)
@classmethod
def load_from(cls, path, sess, **kwargs):
"""Construct a `Graph` by deserialize from `path`.
It will read all serialization files, which is dumped by
`Graph.serialize`.
If any serialize file doesn't exists or broken, will error out.
Args:
path (str): Path contains the serialization files.
sess (`graphscope.Session`): The target session
that the graph will be construct in
Returns:
`Graph`: A new graph object. Schema and data is supposed to be
identical with the one that called serialized method.
"""
import vineyard
import vineyard.io
deployment = "kubernetes" if sess.info["type"] == "k8s" else "ssh"
conf = sess.info["engine_config"]
vineyard_endpoint = conf["vineyard_rpc_endpoint"]
vineyard_ipc_socket = conf["vineyard_socket"]
if sess.info["type"] == "k8s":
hosts = [
"{}:{}".format(sess.info["namespace"], s)
for s in sess.info["engine_hosts"].split(",")
]
else: # type == "hosts"
hosts = sess.info["engine_hosts"].split(",")
graph_id = vineyard.io.deserialize(
path,
type="global",
vineyard_ipc_socket=vineyard_ipc_socket,
vineyard_endpoint=vineyard_endpoint,
storage_options=kwargs,
deployment=deployment,
hosts=hosts,
)
return cls(sess, vineyard.ObjectID(graph_id))
def draw(self, vertices, hop=1):
"""Visualize the graph data in the result cell when the draw functions are invoked
Args:
vertices (list): selected vertices.
hop (int): draw induced subgraph with hop extension. Defaults to 1.
Returns:
A GraphModel.
"""
from ipygraphin import GraphModel
self._ensure_loaded()
interactive_query = self._session.gremlin(self)
graph = GraphModel()
graph.queryGraphData(vertices, hop, interactive_query)
# listen on the 1~2 hops operation of node
graph.on_msg(graph.queryNeighbor)
return graph
def _construct_graph(self,
vertices,
edges,
v_labels,
e_labels,
e_relations,
mutation_func=None):
"""Construct graph.
1. Construct a graph from scratch.
If the vertices and edges is empty, return a empty graph.
2. Construct a graph from existed builded graph.
If the vertices and edges is empty, return a copied graph.
Args:
vertices ([type]): [description]
edges ([type]): [description]
v_labels ([type]): [description]
e_labels ([type]): [description]
e_relations ([type]): [description]
mutation_func ([type], optional): [description]. Defaults to None.
Returns:
[type]: [description]
"""
config = graph_utils.assemble_op_config(
vertices.values(),
edges.values(),
self._oid_type,
self._directed,
self._generate_eid,
)
# edge case.
if not vertices and not edges:
if mutation_func:
# Rely on `self._key`
return Graph(self._session, self)
else:
return Graph(
self._session,
None,
self._oid_type,
self._directed,
self._generate_eid,
)
if mutation_func:
op = mutation_func(self, attrs=config)
else:
op = dag_utils.create_graph(self.session_id,
types_pb2.ARROW_PROPERTY,
attrs=config)
graph = Graph(self._session, op, self._oid_type, self._directed,
self._generate_eid)
graph._unsealed_vertices = vertices
graph._unsealed_edges = edges
graph._v_labels = v_labels
graph._e_labels = e_labels
graph._e_relationships = e_relations
# propage info about whether is a loaded graph.
# graph._key = self._key
if mutation_func:
graph._base_graph = self._base_graph or self
return graph
def add_vertices(self, vertices, label="_", properties=[], vid_field=0):
is_from_existed_graph = len(self._unsealed_vertices) != len(
self._v_labels) or len(self._unsealed_edges) != len(self._e_labels)
if label in self._v_labels:
raise ValueError(f"Label {label} already existed in graph.")
if not self._v_labels and self._e_labels:
raise ValueError(
"Cannot manually add vertices after inferred vertices.")
unsealed_vertices = deepcopy(self._unsealed_vertices)
unsealed_vertices[label] = VertexLabel(label=label,
loader=vertices,
properties=properties,
vid_field=vid_field)
v_labels = deepcopy(self._v_labels)
v_labels.append(label)
# Load after validity check and before create add_vertices op.
# TODO(zsy): Add ability to add vertices and edges to existed graph simultaneously.
if is_from_existed_graph and self._unsealed_edges:
self._ensure_loaded()
func = dag_utils.add_vertices if is_from_existed_graph else None
return self._construct_graph(
unsealed_vertices,
self._unsealed_edges,
v_labels,
self._e_labels,
self._e_relationships,
func,
)
def add_edges(
self,
edges,
label="_",
properties=[],
src_label=None,
dst_label=None,
src_field=0,
dst_field=1,
):
"""Add edges to graph.
1. Add edges to a uninitialized graph.
i. src_label and dst_label both unspecified. In this case, current graph must
has 0 (we deduce vertex label from edge table, and set vertex label name to '_'),
or 1 vertex label (we set src_label and dst label to this).
ii. src_label and dst_label both specified and existed in current graph's vertex labels.
iii. src_label and dst_label both specified and there is no vertex labels in current graph.
we deduce all vertex labels from edge tables.
Note that you either provide all vertex labels, or let graphscope deduce all vertex labels.
We don't support mixed style.
2. Add edges to a existed graph.
Must add a new kind of edge label, not a new relation to builded graph.
But you can add a new relation to uninitialized part of the graph.
src_label and dst_label must be specified and existed in current graph.
Args:
edges ([type]): [description]
label (str, optional): [description]. Defaults to "_".
properties ([type], optional): [description]. Defaults to None.
src_label ([type], optional): [description]. Defaults to None.
dst_label ([type], optional): [description]. Defaults to None.
src_field (int, optional): [description]. Defaults to 0.
dst_field (int, optional): [description]. Defaults to 1.
Raises:
RuntimeError: [description]
Returns:
Graph: [description]
"""
is_from_existed_graph = len(self._unsealed_vertices) != len(
self._v_labels) or len(self._unsealed_edges) != len(self._e_labels)
if is_from_existed_graph:
if label in self._e_labels and label not in self._unsealed_edges:
raise ValueError("Cannot add new relation to existed graph.")
if src_label is None or dst_label is None:
raise ValueError("src label and dst label cannot be None.")
if src_label not in self._v_labels or dst_label not in self._v_labels:
raise ValueError(
"src label or dst_label not existed in graph.")
else:
if src_label is None and dst_label is None:
check_argument(
len(self._v_labels) <= 1, "ambiguous vertex label")
if len(self._v_labels) == 1:
src_label = dst_label = self._v_labels[0]
else:
src_label = dst_label = "_"
elif src_label is not None and dst_label is not None:
if self._v_labels:
if (src_label not in self._v_labels
or dst_label not in self._v_labels):
raise ValueError(
"src label or dst_label not existed in graph.")
else:
# Infer all v_labels from edge tables.
pass
else:
raise ValueError(
"src and dst label must be both specified or either unspecified."
)
check_argument(src_field != dst_field,
"src and dst field cannot refer to the same field")
unsealed_edges = deepcopy(self._unsealed_edges)
e_labels = deepcopy(self._e_labels)
relations = deepcopy(self._e_relationships)
if label in unsealed_edges:
assert label in self._e_labels
label_idx = self._e_labels.index(label)
# Will check conflict in `add_sub_label`
relations[label_idx].append((src_label, dst_label))
cur_label = unsealed_edges[label]
else:
e_labels.append(label)
relations.append([(src_label, dst_label)])
cur_label = EdgeLabel(label)
cur_label.add_sub_label(
EdgeSubLabel(edges, properties, src_label, dst_label, src_field,
dst_field))
unsealed_edges[label] = cur_label
# Load after validity check and before create add_vertices op.
# TODO(zsy): Add ability to add vertices and edges to existed graph simultaneously.
if is_from_existed_graph and self._unsealed_vertices:
self._ensure_loaded()
func = dag_utils.add_edges if is_from_existed_graph else None
return self._construct_graph(
self._unsealed_vertices,
unsealed_edges,
self._v_labels,
e_labels,
relations,
func,
)
class Graph(object):
"""A class for representing metadata of a graph in the GraphScope.
A :class:`Graph` object holds the metadata of a graph, such as key, schema, and the graph is directed or not.
It is worth noting that the graph is stored by the backend such as Analytical Engine, Vineyard.
In other words, the graph object holds nothing but metadata.
The graph object should not be created directly from :class:`Graph`.
Instead, the graph should be created by `Session.load_from`
The following example demonstrates its usage:
.. code:: python
>>> import graphscope as gs
>>> from graphscope.framework.loader import Loader
>>> sess = gs.session()
>>> g = sess.load_from(
... edges={
... "knows": (
... Loader("{}/p2p-31_property_e_0".format(property_dir), header_row=True),
... ["src_label_id", "dst_label_id", "dist"],
... ("src_id", "person"),
... ("dst_id", "person"),
... ),
... },
... vertices={
... "person": Loader(
... "{}/p2p-31_property_v_0".format(property_dir), header_row=True
... ),
... }
... )
"""
def __init__(self, session_id, incoming_data=None):
"""Construct a :class:`Graph` object.
Args:
session_id (str): Session id of the session the graph is created in.
incoming_data: Graph can be initialized through various type of sources,
which can be one of:
- :class:`GraphDef`
- :class:`nx.Graph`
- :class:`Graph`
- :class:`vineyard.Object`, :class:`vineyard.ObjectId` or :class:`vineyard.ObjectName`
"""
# Don't import the :code:`NXGraph` in top-level statments to improve the
# performance of :code:`import graphscope`.
from graphscope.experimental.nx.classes.graph import Graph as NXGraph
self._key = None
self._op = None
self._graph_type = None
self.directed = False
self._vineyard_id = 0
self._schema = GraphSchema()
self._session_id = session_id
self._detached = False
self._interactive_instance_launching_thread = None
self._interactive_instance_list = []
self._learning_instance_list = []
if isinstance(incoming_data, GraphDef):
graph_def = incoming_data
elif isinstance(incoming_data, NXGraph):
graph_def = self._from_nx_graph(incoming_data)
elif isinstance(incoming_data, Graph):
graph_def = self._copy_from(incoming_data)
elif isinstance(
incoming_data,
(vineyard.Object, vineyard.ObjectID, vineyard.ObjectName)):
graph_def = self._from_vineyard(incoming_data)
else:
raise ValueError(
"Failed to create a graph on graphscope engine: %s",
incoming_data)
if graph_def:
self._key = graph_def.key
self._vineyard_id = graph_def.vineyard_id
self._graph_type = graph_def.graph_type
self._directed = graph_def.directed
self._generate_eid = graph_def.generate_eid
self._schema.get_schema_from_def(graph_def.schema_def)
self._schema_path = graph_def.schema_path
# init saved_signature (must be after init schema)
self._saved_signature = self.signature
# create gremlin server pod asynchronously
if gs_config.initializing_interactive_engine:
self._interactive_instance_launching_thread = threading.Thread(
target=self._launch_interactive_instance_impl, args=())
self._interactive_instance_launching_thread.start()
def __del__(self):
# cleanly ignore all exceptions, cause session may already closed / destroyed.
try:
self.unload()
except Exception: # pylint: disable=broad-except
pass
def _close_interactive_instances(self):
# Close related interactive instances when graph unloaded.
# Since the graph is gone, quering via interactive client is meaningless.
for instance in self._interactive_instance_list:
instance.close()
self._interactive_instance_list.clear()
def _close_learning_instances(self):
for instance in self._learning_instance_list:
instance.close()
self._learning_instance_list.clear()
def _launch_interactive_instance_impl(self):
try:
sess = get_session_by_id(self.session_id)
sess.gremlin(self)
except: # noqa: E722
# Record error msg in `InteractiveQuery` when launching failed.
# Unexpect and suppress all exceptions here.
pass
@property
def op(self):
"""The DAG op of this graph."""
return self._op
@property
def key(self):
"""The key of the corresponding graph in engine."""
return self._key
@property
def graph_type(self):
"""The type of the graph object.
Returns:
type (`types_pb2.GraphType`): the type of the graph.
"""
return self._graph_type
@property
def schema(self):
"""Schema of the graph.
Returns:
:class:`GraphSchema`: the schema of the graph
"""
return self._schema
@property
def schema_path(self):
"""Path that Coordinator will write interactive schema path to.
Returns:
str: The path contains the schema. for interactive engine.
"""
return self._schema_path
@property
def signature(self):
if self._key is None:
raise RuntimeError("graph should be registered in remote.")
return hashlib.sha256("{}.{}".format(
self._schema.signature(), self._key).encode("utf-8")).hexdigest()
@property
def template_str(self):
if self._key is None:
raise RuntimeError("graph should be registered in remote.")
graph_type = self._graph_type
# transform str/string to std::string
oid_type = utils.normalize_data_type_str(self._schema.oid_type)
vid_type = self._schema.vid_type
vdata_type = utils.data_type_to_cpp(self._schema.vdata_type)
edata_type = utils.data_type_to_cpp(self._schema.edata_type)
if graph_type == types_pb2.ARROW_PROPERTY:
template = f"vineyard::ArrowFragment<{oid_type},{vid_type}>"
elif graph_type == types_pb2.ARROW_PROJECTED:
template = f"gs::ArrowProjectedFragment<{oid_type},{vid_type},{vdata_type},{edata_type}>"
elif graph_type == types_pb2.DYNAMIC_PROJECTED:
template = f"gs::DynamicProjectedFragment<{vdata_type},{edata_type}>"
else:
raise ValueError(f"Unsupported graph type: {graph_type}")
return template
@property
def vineyard_id(self):
"""Get the vineyard object_id of this graph.
Returns:
str: return vineyard id of this graph
"""
return self._vineyard_id
@property
def session_id(self):
"""Get the currrent session_id.
Returns:
str: Return session id that the graph belongs to.
"""
return self._session_id
def detach(self):
"""Detaching a graph makes it being left in vineyard even when the varaible for
this :class:`Graph` object leaves the lexical scope.
The graph can be accessed using the graph's :code:`ObjectID` or its name later.
"""
self._detached = True
def loaded(self):
return self._key is not None
def __str__(self):
return f"graphscope.Graph <{self.template_str}> {self._vineyard_id}"
def __repr__(self):
return ("graphscope.Graph\n"
f"type: {self.template_str.split('<')[0]}\n"
f"vineyard_id: {self._vineyard_id}\n\n"
f"{str(self._schema)}")
def unload(self):
"""Unload this graph from graphscope engine."""
if not self.loaded():
raise RuntimeError("The graph is not registered in remote.")
# close interactive instances first
try:
if (self._interactive_instance_launching_thread is not None and
self._interactive_instance_launching_thread.is_alive()):
# join raises a RuntimeError if an attempt is made to join the current thread.
# this exception occurs when a object collected by gc mechanism contains a running thread.
if (threading.current_thread() !=
self._interactive_instance_launching_thread):
self._interactive_instance_launching_thread.join()
self._close_interactive_instances()
except Exception as e:
logger.error("Failed to close interactive instances: %s" % e)
try:
self._close_learning_instances()
except Exception as e:
logger.error("Failed to close learning instances: %s" % e)
if not self._detached:
op = dag_utils.unload_graph(self)
op.eval()
self._key = None
def project_to_simple(self,
v_label="_",
e_label="_",
v_prop=None,
e_prop=None):
"""Project a property graph to a simple graph, useful for analytical engine.
Will translate name represented label or property to index, which is broadedly used
in internal engine.
Args:
v_label (str, optional): vertex label to project. Defaults to "_".
e_label (str, optional): edge label to project. Defaults to "_".
v_prop (str, optional): vertex property of the v_label. Defaults to None.
e_prop (str, optional): edge property of the e_label. Defaults to None.
Returns:
:class:`Graph`: A `Graph` instance, which graph_type is `ARROW_PROJECTED`
"""
if not self.loaded():
raise RuntimeError(
"The graph is not registered in remote, and can't project to simple"
)
self.check_unmodified()
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
check_argument(isinstance(v_label, (int, str)))
check_argument(isinstance(e_label, (int, str)))
def check_out_of_range(id, length):
if id < length and id > -1:
return id
else:
raise KeyError("id {} is out of range.".format(id))
try:
v_label_id = (check_out_of_range(
v_label, self._schema.vertex_label_num) if isinstance(
v_label, int) else
self._schema.vertex_label_index(v_label))
except ValueError as e:
raise ValueError("graph not contains the vertex label {}.".format(
v_label)) from e
try:
e_label_id = (check_out_of_range(
e_label, self._schema.edge_label_num) if isinstance(
e_label, int) else self._schema.edge_label_index(e_label))
except ValueError as e:
raise InvalidArgumentError(
"graph not contains the edge label {}.".format(e_label)) from e
if v_prop is None:
# NB: -1 means vertex property is None
v_prop_id = -1
v_properties = None
else:
check_argument(isinstance(v_prop, (int, str)))
v_properties = self._schema.vertex_properties[v_label_id]
try:
v_prop_id = (check_out_of_range(v_prop, len(v_properties))
if isinstance(v_prop, int) else
self._schema.vertex_property_index(
v_label_id, v_prop))
except ValueError as e:
raise ValueError(
"vertex label {} not contains the property {}".format(
v_label, v_prop)) from e
if e_prop is None:
# NB: -1 means edge property is None
e_prop_id = -1
e_properties = None
else:
check_argument(isinstance(e_prop, (int, str)))
e_properties = self._schema.edge_properties[e_label_id]
try:
e_prop_id = (check_out_of_range(e_prop, len(e_properties))
if isinstance(e_prop, int) else
self._schema.edge_property_index(
e_label_id, e_prop))
except ValueError as e:
raise ValueError(
"edge label {} not contains the property {}".format(
e_label, e_prop)) from e
oid_type = self._schema.oid_type
vid_type = self._schema.vid_type
vdata_type = None
if v_properties:
vdata_type = list(v_properties.values())[v_prop_id]
edata_type = None
if e_properties:
edata_type = list(e_properties.values())[e_prop_id]
op = dag_utils.project_arrow_property_graph(
self,
v_label_id,
v_prop_id,
e_label_id,
e_prop_id,
vdata_type,
edata_type,
oid_type,
vid_type,
)
graph_def = op.eval()
return Graph(self.session_id, graph_def)
def add_column(self, results, selector):
"""Add the results as a column to the graph. Modification rules are given by the selector.
Args:
results (:class:`Context`): A `Context` that created by doing a query.
selector (dict): Select results to add as column. Format is similar to selectors in `Context`
Returns:
:class:`Graph`: A new `Graph` with new columns.
"""
check_argument(isinstance(selector, Mapping),
"selector of add column must be a dict")
self.check_unmodified()
check_argument(self.graph_type == types_pb2.ARROW_PROPERTY)
selector = {
key: results._transform_selector(value)
for key, value in selector.items()
}
selector = json.dumps(selector)
op = dag_utils.add_column(self, results, selector)
graph_def = op.eval()
return Graph(self.session_id, graph_def)
def to_numpy(self, selector, vertex_range=None):
"""Select some elements of the graph and output to numpy.
Args:
selector (str): Select a portion of graph as a numpy.ndarray.
vertex_range(dict, optional): Slice vertices. Defaults to None.
Returns:
`numpy.ndarray`
"""
self.check_unmodified()
selector = utils.transform_labeled_vertex_property_data_selector(
self, selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_numpy(self, selector, vertex_range)
ret = op.eval()
return utils.decode_numpy(ret)
def to_dataframe(self, selector, vertex_range=None):
"""Select some elements of the graph and output as a pandas.DataFrame
Args:
selector (dict): Select some portions of graph.
vertex_range (dict, optional): Slice vertices. Defaults to None.
Returns:
`pandas.DataFrame`
"""
self.check_unmodified()
check_argument(
isinstance(selector, Mapping),
"selector of to_vineyard_dataframe must be a dict",
)
selector = {
key:
utils.transform_labeled_vertex_property_data_selector(self, value)
for key, value in selector.items()
}
selector = json.dumps(selector)
vertex_range = utils.transform_vertex_range(vertex_range)
op = dag_utils.graph_to_dataframe(self, selector, vertex_range)
ret = op.eval()
return utils.decode_dataframe(ret)
def is_directed(self):
return self._directed
def check_unmodified(self):
check_argument(self.signature == self._saved_signature,
"Graph has been modified!")
def _from_nx_graph(self, incoming_graph):
"""Create a gs graph from a nx graph.
Args:
incoming_graph (:class:`nx.graph`): A nx graph that contains graph data.
Returns:
that will be used to construct a gs.Graph
Raises:
TypeError: Raise Error if graph type not match.
Examples:
>>> nx_g = nx.path_graph(10)
>>> gs_g = gs.Graph(nx_g)
"""
if hasattr(incoming_graph, "_graph"):
msg = "graph view can not convert to gs graph"
raise TypeError(msg)
op = dag_utils.dynamic_to_arrow(incoming_graph)
graph_def = op.eval()
return graph_def
def _copy_from(self, incoming_graph):
"""Copy a graph.
Args:
incoming_graph (:class:`Graph`): Source graph to be copied from
Returns:
:class:`Graph`: An identical graph, but with a new vineyard id.
"""
check_argument(incoming_graph.graph_type == types_pb2.ARROW_PROPERTY)
check_argument(incoming_graph.loaded())
op = dag_utils.copy_graph(incoming_graph)
graph_def = op.eval()
return graph_def
def _from_vineyard(self, vineyard_object):
"""Load a graph from a already existed vineyard graph.
Args:
vineyard_object (:class:`vineyard.Object`, :class:`vineyard.ObjectID`
or :class:`vineyard.ObjectName`): vineyard object,
which represents a graph.
Returns:
A graph_def.
"""
if isinstance(vineyard_object, vineyard.Object):
return self._from_vineyard_id(vineyard_object.id)
if isinstance(vineyard_object, vineyard.ObjectID):
return self._from_vineyard_id(vineyard_object)
if isinstance(vineyard_object, vineyard.ObjectName):
return self._from_vineyard_name(vineyard_object)
def _from_vineyard_id(self, vineyard_id):
config = {}
config[types_pb2.IS_FROM_VINEYARD_ID] = utils.b_to_attr(True)
config[types_pb2.VINEYARD_ID] = utils.i_to_attr(int(vineyard_id))
# FIXME(hetao) hardcode oid/vid type for codegen, when loading from vineyard
#
# the metadata should be retrived from vineyard
config[types_pb2.OID_TYPE] = utils.s_to_attr("int64_t")
config[types_pb2.VID_TYPE] = utils.s_to_attr("uint64_t")
op = dag_utils.create_graph(self._session_id,
types_pb2.ARROW_PROPERTY,
attrs=config)
graph_def = op.eval()
return graph_def
def _from_vineyard_name(self, vineyard_name):
config = {}
config[types_pb2.IS_FROM_VINEYARD_ID] = utils.b_to_attr(True)
config[types_pb2.VINEYARD_NAME] = utils.s_to_attr(str(vineyard_name))
# FIXME(hetao) hardcode oid/vid type for codegen, when loading from vineyard
#
# the metadata should be retrived from vineyard
config[types_pb2.OID_TYPE] = utils.s_to_attr("int64_t")
config[types_pb2.VID_TYPE] = utils.s_to_attr("uint64_t")
op = dag_utils.create_graph(self._session_id,
types_pb2.ARROW_PROPERTY,
attrs=config)
graph_def = op.eval()
return graph_def
def attach_interactive_instance(self, instance):
"""Store the instance when a new interactive instance is started.
Args:
instance: interactive instance
"""
self._interactive_instance_list.append(instance)
def attach_learning_instance(self, instance):
"""Store the instance when a new learning instance is created.
Args:
instance: learning instance
"""
self._learning_instance_list.append(instance)
def serialize(self, path, **kwargs):
"""Serialize graph to a location.
The meta and data of graph is dumped to specified location,
and can be restored by `Graph.deserialize` in other sessions.
Each worker will write a `path_{worker_id}.meta` file and
a `path_{worker_id}` file to storage.
Args:
path (str): supported storages are local, hdfs, oss, s3
"""
import vineyard
import vineyard.io
sess = get_session_by_id(self.session_id)
deployment = "kubernetes" if sess.info["type"] == "k8s" else "ssh"
conf = sess.info["engine_config"]
vineyard_endpoint = conf["vineyard_rpc_endpoint"]
vineyard_ipc_socket = conf["vineyard_socket"]
if sess.info["type"] == "k8s":
hosts = [
"{}:{}".format(sess.info["namespace"], s)
for s in sess.info["engine_hosts"].split(",")
]
else: # type == "hosts"
hosts = sess.info["engine_hosts"].split(",")
vineyard.io.serialize(
path,
vineyard.ObjectID(self._vineyard_id),
type="global",
vineyard_ipc_socket=vineyard_ipc_socket,
vineyard_endpoint=vineyard_endpoint,
storage_options=kwargs,
deployment=deployment,
hosts=hosts,
)
@classmethod
def deserialize(cls, path, sess, **kwargs):
"""Construct a `Graph` by deserialize from `path`.
It will read all serialization files, which is dumped by
`Graph.serialize`.
If any serialize file doesn't exists or broken, will error out.
Args:
path (str): Path contains the serialization files.
sess (`graphscope.Session`): The target session
that the graph will be construct in
Returns:
`Graph`: A new graph object. Schema and data is supposed to be
identical with the one that called serialized method.
"""
import vineyard
import vineyard.io
deployment = "kubernetes" if sess.info["type"] == "k8s" else "ssh"
conf = sess.info["engine_config"]
vineyard_endpoint = conf["vineyard_rpc_endpoint"]
vineyard_ipc_socket = conf["vineyard_socket"]
if sess.info["type"] == "k8s":
hosts = [
"{}:{}".format(sess.info["namespace"], s)
for s in sess.info["engine_hosts"].split(",")
]
else: # type == "hosts"
hosts = sess.info["engine_hosts"].split(",")
graph_id = vineyard.io.deserialize(
path,
type="global",
vineyard_ipc_socket=vineyard_ipc_socket,
vineyard_endpoint=vineyard_endpoint,
storage_options=kwargs,
deployment=deployment,
hosts=hosts,
)
return cls(sess.session_id, vineyard.ObjectID(graph_id))
def draw(self, vertices, hop=1):
"""Visualize the graph data in the result cell when the draw functions are invoked
Args:
vertices (list): selected vertices.
hop (int): draw induced subgraph with hop extension. Defaults to 1.
Returns:
A GraphModel.
"""
from ipygraphin import GraphModel
sess = get_session_by_id(self.session_id)
interactive_query = sess.gremlin(self)
graph = GraphModel()
graph.queryGraphData(vertices, hop, interactive_query)
# listen on the 1~2 hops operation of node
graph.on_msg(graph.queryNeighbor)
return graph
def add_vertices(self, vertices):
vertices = graph_utils.normalize_parameter_vertices(vertices)
# Configurations inherited from input graph
# oid_type
# CHECK label name not in existed edge labels
vertex_labels = self._schema.vertex_labels
for vertex in vertices:
check_argument(
vertex.label not in vertex_labels,
f"Duplicate label name with existing vertex labels: {vertex.label}",
)
config = graph_utils.assemble_op_config([], vertices, self._directed,
self._schema.oid_type,
self._generate_eid)
op = dag_utils.add_vertices(self, attrs=config)
graph_def = op.eval()
return Graph(self.session_id, graph_def)
def add_edges(self, edges):
edges = graph_utils.normalize_parameter_edges(edges)
# directed, oid_type, generate_eid
# CHECK:
# 1. edge's src/dst labels must existed in vertex_labels
# 2. label name not in existed edge labels
vertex_labels = self._schema.vertex_labels
edge_labels = self.schema.edge_labels
graph_utils.check_edge_validity(edges, vertex_labels)
for edge in edges:
check_argument(
edge.label not in edge_labels,
f"Duplicate label name with existing edge labels: {edge.label}",
)
config = graph_utils.assemble_op_config(edges, [], self._directed,
self._schema.oid_type,
self._generate_eid)
op = dag_utils.add_edges(self, attrs=config)
graph_def = op.eval()
return Graph(self.session_id, graph_def)