def test__bug_request_causes_lambda_error(self):
params = ['only_with_issue_types', 'graph_A4J', 'Issue Person']
from osbot_jira.api.graph.GS_Graph import GS_Graph
assert type(Lambda_Graph_Commands().filter(params=params)) == GS_Graph
assert Lambda_Graph_Commands().filter(
params=params, channel='ABC'
) is None # bug was here (when channel was provided, the GS_Graph object was being returned and it was failing to serialize
def test_expand(self):
result = json.loads(Lambda_Graph_Commands().expand(
params=['graph_K90', 1, 'is fact of']))
self.result = set(result) == {
'puml', 'edges', 'graph_name', 'graph_or_key', 'nodes', 'depth'
}
def test_raw_data(self):
params = ['graph_J2O', 'details']
self.team_id = None
self.channel = None
results = Lambda_Graph_Commands().raw_data(self.team_id, self.channel,
params, None)
Dev.pprint(results)
def test_filter(self):
params = ['group_by_field', 'graph_8SX', 'Issue Type']
self.team_id = None
self.channel = None
self.result = Lambda_Graph_Commands().filter(self.team_id,
self.channel, params,
None)
def test_raw_data__issue_id(self):
params = [
'GSSP-111', 'details'
] # when an issue ID is passed we should get the value as the first node
self.team_id = None
self.channel = None
results = Lambda_Graph_Commands().raw_data(params=params)
assert results['nodes']['GSSP-111']['Creator'] == 'dinis.cruz'
def test_mindmap__for_issue(self):
Dev.pprint(Lambda_Graph_Commands().mindmap(self.team_id,
self.channel,
params=['GSCS-14']))
def test_mindmap(self):
Dev.pprint(Lambda_Graph_Commands().mindmap(
self.team_id, self.channel, params=['graph_K90', '200', '500']))
def test_last_10(self):
Lambda_Graph_Commands().last(None, None, [])
def test_expand__bad_link_type(self):
Lambda_Graph_Commands().expand(self.channel,
params=['graph_K90', 1, 'aaaa'])
def test_expand__using_jira_id(self):
Lambda_Graph_Commands().expand(
self.channel, params=['RISK-873', 1, 'is created by VULN,asd,asd'])
def test_expand__no_puml(self):
graph = Lambda_Graph_Commands().expand(
params=['graph_K90', 1, 'relates to,has RISK'], save_graph=False)
assert len(graph.nodes) > 20
def __init__(self):
self.lambda_graph = Lambda('osbot_jira.lambdas.graph')
self.api_issues = API_Issues()
self.gs_bot_jira = GS_Bot_Jira()
self.graph_commands = Lambda_Graph_Commands()
self.elk_to_slack = ELK_to_Slack()
def test_show_go_js(self):
Lambda_Graph_Commands().show(self.team_id,
self.channel,
params=['graph_OJF', 'go_js'])
def test_show(self):
#Lambda_Graph_Commands().show(self.team_id, self.channel, params=[''])
#Lambda_Graph_Commands().show(self.team_id, self.channel, params=['asd'])
Lambda_Graph_Commands().show(self.team_id,
self.channel,
params=['graph_OJF'])
def test_plantuml(self):
params = ['sec-9696-down']
Lambda_Graph_Commands().plantuml(self.team_id, self.channel, params,
None)
def test_view_only_one_param(self):
params = ['sec-9696-down']
Lambda_Graph_Commands().view(None, self.channel, params, None)
def test_view_links(self):
params = ['graph_81N', 'links']
Lambda_Graph_Commands().view(None, self.channel, params, None)
def test_gs_okrs(self):
Lambda_Graph_Commands().gs_okrs(self.channel, [], None)
def test_show_plantuml(self):
Lambda_Graph_Commands().show(self.team_id,
self.channel,
params=['graph_OJF', 'plantuml'])
def test_create(self):
result = Lambda_Graph_Commands().create(
self.team_id, self.channel,
['graph_K90', 1, 'relates to,has RISK'], None)
Dev.pprint(result)
def test_epic(self):
key = 'SEC-9696'
#key = 'GSOS-181'
Lambda_Graph_Commands().epic(self.team_id, self.channel, [key], None)
class Jp_Graph_Data:
def __init__(self):
self.lambda_graph = Lambda('osbot_jira.lambdas.graph')
self.api_issues = API_Issues()
self.gs_bot_jira = GS_Bot_Jira()
self.graph_commands = Lambda_Graph_Commands()
self.elk_to_slack = ELK_to_Slack()
def lambda_invoke(self, params):
result = self.lambda_graph.invoke({'params': params, 'data': {}})
return json_loads(result)
def issue(self, issue_id):
return self.api_issues.issue(issue_id)
def issues(self, issue_id):
return self.api_issues.issues(issue_id)
def jira_links(self, source, depth=1):
params = ['links', source, depth]
return self.gs_bot_jira.cmd_links(params, save_graph=False)
def jira_search(self, query):
params = query.split(' ')
query = self.elk_to_slack.get_search_query(params)
return self.api_issues.search_using_lucene(query)
def graph_expand(self, source, depth, link_types):
params = [source, depth, link_types]
return self.graph_commands.expand(params=params, save_graph=False)
#data = json..invoke(params))
#nodes = data.get('nodes')
#edges = data.get('edges')
def draw_graph(self, graph):
nodes = graph.nodes
edges = graph.edges
import networkx as nx
import matplotlib.pyplot as plt
size = 40
plt.figure(figsize=(size, size))
G = nx.DiGraph()
for node in nodes:
G.add_node(node)
for edge in edges:
G.add_edge(edge[0], edge[2], label=edge[1])
edge_labels = nx.get_edge_attributes(G, 'label')
# pos = nx.spring_layout(G)
# pos=nx.nx_pydot.graphviz_layout(G,prog='dot')
pos = nx.nx_pydot.graphviz_layout(G)
nx.draw_networkx_nodes(G, pos, node_shape='', node_size=100)
nx.draw_networkx_labels(G, pos, font_size=16)
nx.draw_networkx_edges(G, pos)
nx.draw_networkx_edge_labels(G,
pos=pos,
edge_labels=edge_labels,
font_size=10)