def get_suite_data(prefix, properties=None):
"""Retrieve a dictionary containing the contents of RosieWS
Adds in any extra requested properties
"""
if properties is None:
properties = []
ws_client = rosie.ws_client.RosieWSClient(
prefixes=[prefix],
event_handler=rose.reporter.Reporter()
)
suite_data = ws_client.search(prefix, all_revs=1)[0][0]
for dict_row in sorted(suite_data, key=lambda _: _["revision"]):
suite_id = rosie.suite_id.SuiteId.from_idx_branch_revision(
dict_row["idx"],
dict_row["branch"],
dict_row["revision"]
)
dict_row["suite"] = suite_id.to_string_with_version()
if "local" in properties:
dict_row["local"] = suite_id.get_status()
if "date" in properties:
dict_row["date"] = time.strftime(
rosie.ws_client_cli.DATE_TIME_FORMAT,
time.gmtime(dict_row.get("date"))
)
return suite_data
def get_suite_data(prefix, properties=None):
"""Retrieve a dictionary containing the contents of RosieWS
Adds in any extra requested properites
"""
if properties is None:
properties = []
ws_client = rosie.ws_client.RosieWSClient(
prefixes=[prefix], event_handler=rose.reporter.Reporter())
suite_data = ws_client.search(prefix, all_revs=1)[0][0]
for dict_row in sorted(suite_data, key=lambda _: _["revision"]):
suite_id = rosie.suite_id.SuiteId.from_idx_branch_revision(
dict_row["idx"], dict_row["branch"], dict_row["revision"])
dict_row["suite"] = suite_id.to_string_with_version()
if "local" in properties:
dict_row["local"] = suite_id.get_status()
if "date" in properties:
dict_row["date"] = time.strftime(
rosie.ws_client_cli.DATE_TIME_FORMAT,
time.gmtime(dict_row.get("date")))
return suite_data
def calculate_edges(graph,
prefix,
filter_id=None,
properties=None,
max_distance=None):
"""Get all connected suites for a prefix, optionally filtered."""
if properties is None:
properties = []
ws_client = rosie.ws_client.RosieWSClient(
prefixes=[prefix], event_handler=rose.reporter.Reporter())
node_rosie_properties = {}
edges = []
forward_edges = {}
back_edges = {}
dict_rows = ws_client.search(prefix, all_revs=1)[0][0]
for dict_row in sorted(dict_rows, key=lambda _: _["revision"]):
suite_id = rosie.suite_id.SuiteId.from_idx_branch_revision(
dict_row["idx"], dict_row["branch"], dict_row["revision"])
dict_row["suite"] = suite_id.to_string_with_version()
if "local" in properties:
dict_row["local"] = suite_id.get_status()
if "date" in properties:
dict_row["date"] = time.strftime(
rosie.ws_client_cli.DATE_TIME_FORMAT,
time.gmtime(dict_row.get("date")))
idx = dict_row["idx"]
node_rosie_properties[idx] = []
for property in properties:
node_rosie_properties[idx].append(dict_row.get(property))
from_idx = dict_row.get("from_idx")
if from_idx is None:
continue
edges.append((from_idx, idx))
forward_edges.setdefault(from_idx, [])
forward_edges[from_idx].append(idx)
back_edges.setdefault(idx, [])
back_edges[idx].append(from_idx)
if filter_id is None:
# Plot all the edges we've found.
for edge in sorted(edges):
node0, node1 = edge
add_node(graph, node0, node_rosie_properties.get(node0))
add_node(graph, node1, node_rosie_properties.get(node1))
graph.add_edge(edge[0], edge[1])
else:
# Only plot the connections involving filter_id.
nodes = [n for edge in edges for n in edge]
node_stack = []
node_stack = [(filter_id, 0)]
add_node(graph,
filter_id,
node_rosie_properties.get(filter_id),
fillcolor="lightgrey",
style="filled")
ok_nodes = set([])
while node_stack:
node, distance = node_stack.pop()
if max_distance is not None and distance > max_distance:
continue
ok_nodes.add(node)
for neighbour_node in (forward_edges.get(node, []) +
back_edges.get(node, [])):
if neighbour_node not in ok_nodes:
node_stack.append((neighbour_node, distance + 1))
if len(ok_nodes) == 1:
# There are no related suites.
reporter = rose.reporter.Reporter()
reporter(NoConnectionsEvent(filter_id))
for edge in sorted(edges):
node0, node1 = edge
if node0 in ok_nodes and node1 in ok_nodes:
add_node(graph, node0, node_rosie_properties.get(node0))
add_node(graph, node1, node_rosie_properties.get(node1))
graph.add_edge(node0, node1)
def calculate_edges(graph, prefix, filter_id=None, properties=None, max_distance=None):
"""Get all connected suites for a prefix, optionally filtered."""
if properties is None:
properties = []
ws_client = rosie.ws_client.RosieWSClient(prefixes=[prefix], event_handler=rose.reporter.Reporter())
node_rosie_properties = {}
edges = []
forward_edges = {}
back_edges = {}
dict_rows = ws_client.search(prefix, all_revs=1)[0][0]
for dict_row in sorted(dict_rows, key=lambda _: _["revision"]):
suite_id = rosie.suite_id.SuiteId.from_idx_branch_revision(
dict_row["idx"], dict_row["branch"], dict_row["revision"]
)
dict_row["suite"] = suite_id.to_string_with_version()
if "local" in properties:
dict_row["local"] = suite_id.get_status()
if "date" in properties:
dict_row["date"] = time.strftime(rosie.ws_client_cli.DATE_TIME_FORMAT, time.gmtime(dict_row.get("date")))
idx = dict_row["idx"]
node_rosie_properties[idx] = []
for property in properties:
node_rosie_properties[idx].append(dict_row.get(property))
from_idx = dict_row.get("from_idx")
if from_idx is None:
continue
edges.append((from_idx, idx))
forward_edges.setdefault(from_idx, [])
forward_edges[from_idx].append(idx)
back_edges.setdefault(idx, [])
back_edges[idx].append(from_idx)
if filter_id is None:
# Plot all the edges we've found.
for edge in sorted(edges):
node0, node1 = edge
add_node(graph, node0, node_rosie_properties.get(node0))
add_node(graph, node1, node_rosie_properties.get(node1))
graph.add_edge(edge[0], edge[1])
else:
# Only plot the connections involving filter_id.
nodes = [n for edge in edges for n in edge]
node_stack = []
node_stack = [(filter_id, 0)]
add_node(graph, filter_id, node_rosie_properties.get(filter_id), fillcolor="lightgrey", style="filled")
ok_nodes = set([])
while node_stack:
node, distance = node_stack.pop()
if max_distance is not None and distance > max_distance:
continue
ok_nodes.add(node)
for neighbour_node in forward_edges.get(node, []) + back_edges.get(node, []):
if neighbour_node not in ok_nodes:
node_stack.append((neighbour_node, distance + 1))
if len(ok_nodes) == 1:
# There are no related suites.
reporter = rose.reporter.Reporter()
reporter(NoConnectionsEvent(filter_id))
for edge in sorted(edges):
node0, node1 = edge
if node0 in ok_nodes and node1 in ok_nodes:
add_node(graph, node0, node_rosie_properties.get(node0))
add_node(graph, node1, node_rosie_properties.get(node1))
graph.add_edge(node0, node1)