def createResults(field, args_array):
## is text search
if not field.lower() in ["email", "entity"]:
text = head(args_array)
if text:
tangelo.log("text search : %s" % text)
es = Elasticsearch()
res = es.search(index="newman", doc_type="emails", size=1000, q=text, body= {"fields": ["_id"], "query": {"match_all": {}}})
ingestESTextResults(jsonGet(['hits','hits'], res, []))
node_vals = getNodeVals(field, args_array)
colors = {k:v.get("group_id") for k,v in node_vals.iteritems()}
for k,v in node_vals.iteritems():
node_vals[k]["color"] = colors.get(k)
emails = sorted(getEmails(colors, field, args_array), key=lambda x: str(x.get('datetime')))
idx_lookup = {}
nodes = []
for i, o in enumerate(node_vals.iteritems()):
k,v = o
idx_lookup[k]=i
#nodes.append({"name": k, "num": v.get("num"), "rank": v.get("rank"), "group": v.get("color"), "community": colors.get(v.get("comm"))})
nodes.append({"name": k, "num": v.get("num"), "rank": v.get("rank"), "group": v.get("color"), "community": v.get("comm_id")})
edges = getEdges(idx_lookup, field, args_array)
results = { 'rows': emails, 'graph': { 'nodes': nodes, 'links': edges }}
return results
'name': target,
'community': 'n/a',
'idx': node_map[target]
})
edges.append((node_map[src], node_map[target]))
g = igraph.Graph(len(nodes) + 1)
g.add_edges(edges)
g.vs['node'] = nodes
g = g.as_undirected(mode='collapse')
clustering = g.community_multilevel()
for subgraph in clustering.subgraphs():
community_name = jsonGet(['name'], head(subgraph.vs['node']), 'n/a')
for node in subgraph.vs['node']:
node['community'] = community_name
#output format
#NODE\tCOMMUNITY
# for node in nodes:
# print "{}\t{}".format(node['name'], node['community'])
count = counter(1)
with newman_connector() as read_cnx, newman_connector() as write_cnx:
txid = Tx(read_cnx.conn()).next()
print "tx: %s" % txid
facts = Fact(write_cnx.conn(), autocommit=False)
print "assigning communities"
for node in nodes:
node_map[target] = c.next()
nodes.append({'name': target,
'community': 'n/a',
'idx': node_map[target] })
edges.append((node_map[src], node_map[target]))
g = igraph.Graph(len(nodes)+1)
g.add_edges(edges)
g.vs['node'] = nodes
g = g.as_undirected(mode='collapse')
clustering = g.community_multilevel()
for subgraph in clustering.subgraphs():
community_name = jsonGet(['name'], head(subgraph.vs['node']), 'n/a')
for node in subgraph.vs['node']:
node['community'] = community_name
#output format
#NODE\tCOMMUNITY
# for node in nodes:
# print "{}\t{}".format(node['name'], node['community'])
count = counter(1)
with newman_connector() as read_cnx, newman_connector() as write_cnx:
txid = Tx(read_cnx.conn()).next()
print "tx: %s" % txid
facts = Fact(write_cnx.conn(), autocommit=False)
print "assigning communities"
for node in nodes: