-
Notifications
You must be signed in to change notification settings - Fork 0
/
graphviewer.py
142 lines (123 loc) · 6.16 KB
/
graphviewer.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
import codecs
import subprocess
from pathlib import Path
import networkx as nx
from flask import Flask, render_template, request, Response, flash, jsonify
from markupsafe import Markup
from networkx import DiGraph
from macrogen import MacrogenesisInfo, write_dot
from macrogen.graphutils import remove_edges, simplify_timeline, expand_edges, collapse_edges, collapse_parallel_edges
app = Flask(__name__)
try:
from gv_config import SECRET_KEY
app.secret_key = SECRET_KEY
except ImportError:
app.logger.error('No secret key config -- using unsafe default')
app.secret_key = b'not-really-a-secret-key'
default_model = MacrogenesisInfo('target/macrogenesis/macrogen-info.zip') # FIXME evil
modelFiles = Path('target/macrogenesis').glob('*-*/macrogen-info.zip')
models = {p.parent.stem: MacrogenesisInfo(p) for p in modelFiles}
models['default'] = default_model
class NoNodes(ValueError):
pass
def prepare_agraph():
node_str = request.values.get('nodes')
model = request.values.get('model', 'default')
info = models.get(model, default_model)
nodes, errors = info.nodes(node_str, report_errors=True)
if errors:
flash('Die folgenden zentralen Knoten wurden nicht gefunden: ' + ', '.join(errors), 'warning')
context = request.values.get('context', False)
abs_dates = request.values.get('abs_dates', False)
extra, errors = info.nodes(request.values.get('extra', ''), report_errors=True)
if errors:
flash('Die folgenden Pfadziele wurden nicht gefunden: ' + ', '.join(errors), 'warning')
induced_edges = request.values.get('induced_edges', False)
ignored_edges = request.values.get('ignored_edges', False)
direct_assertions = request.values.get('assertions', False)
paths_wo_timeline = request.values.get('paths_wo_timeline', False)
no_edge_labels = request.values.get('no_edge_labels', False)
tred = request.values.get('tred', False)
nohl = request.values.get('nohl', False)
syn = request.values.get('syn', False)
order = request.values.get('order', False)
collapse = request.values.get('collapse', False)
direction = request.values.get('dir', 'LR').upper()
if direction not in {'LR', 'RL', 'TB', 'BT'}:
direction = 'LR'
if nodes:
g = info.subgraph(*nodes, context=context, abs_dates=abs_dates, paths=extra, keep_timeline=True,
paths_without_timeline=paths_wo_timeline,
direct_assertions=direct_assertions, include_syn_clusters=syn)
if induced_edges:
g = info.base.subgraph(g.nodes).copy()
if not ignored_edges or tred:
g = remove_edges(g, lambda u, v, attr: attr.get('ignore', False) and not attr.get('kind', '') == 'temp-syn')
if not syn:
g = remove_edges(g, lambda u, v, attr: attr.get('kind', None) == "temp-syn")
if tred:
g = remove_edges(g, lambda u, v, attr: attr.get('delete', False))
if tred:
if nx.is_directed_acyclic_graph(g):
reduction = nx.transitive_reduction(g)
g = g.edge_subgraph([(u, v, k) for u, v, k, _ in expand_edges(g, reduction.edges)])
else:
flash('Cannot produce DAG – subgraph is not acyclic!?', 'error')
g = simplify_timeline(g)
if collapse:
g = collapse_parallel_edges(g)
g.add_nodes_from(nodes)
if order:
g = info.order_graph(g)
agraph = write_dot(g, target=None, highlight=None if nohl else nodes, edge_labels=not no_edge_labels)
agraph.graph_attr['basename'] = ",".join([str(node.filename.stem if hasattr(node, 'filename') else node) for node in nodes])
agraph.graph_attr['bgcolor'] = 'transparent'
agraph.graph_attr['rankdir'] = direction
if order:
agraph.graph_attr['ranksep'] = '0.2'
return agraph
else:
raise NoNodes('No nodes in graph')
def _normalize_args(args):
result = dict(args)
for field in ['nodes', 'extra']:
if field in result:
result[field] = ", ".join(str(node) for node in default_model.nodes(result[field]))
return result
@app.route('/macrogenesis/subgraph')
def render_form():
# try:
# agraph = prepare_agraph()
# output = subprocess.check_output(['dot', '-T', 'svg'], input=codecs.encode(agraph.to_string()), timeout=30)
# svg = Markup(codecs.decode(output))
# except NoNodes:
# flash(Markup('<strong>Keine Knoten im Graphen.</strong> Bitte mindestens einen Knoten im Feld <em>Zentrale Knoten</em> eingeben.'), 'danger')
# svg = ''
return render_template('form.html', query=codecs.decode(request.query_string), **_normalize_args(request.args), models=models)
@app.route('/macrogenesis/subgraph/pdf')
def render_pdf():
agraph = prepare_agraph()
output = subprocess.check_output(['dot', '-T', 'pdf'], input=codecs.encode(agraph.to_string()), timeout=30)
# p = subprocess.run(['dot', '-T', 'pdf'], input=codecs.encode(agraph.to_string()), capture_output=True, timeout=30)
response = Response(output, mimetype='application/pdf')
response.headers['Content-Disposition'] = f'attachment; filename="{agraph.graph_attr["basename"]}.pdf"'
return response
@app.route('/macrogenesis/subgraph/dot', methods=['GET', 'POST'])
def render_dot():
try:
agraph = prepare_agraph()
response = Response(agraph.to_string(), mimetype='text/vnd.graphviz')
response.headers['Content-Disposition'] = f'attachment; filename="{agraph.graph_attr["basename"]}.dot"'
return response
except NoNodes as e:
return Response(Markup('<strong>Keine Knoten im Graphen.</strong> Bitte mindestens einen Knoten im Feld <em>Zentrale Knoten</em> eingeben.'), status=404)
@app.route('/macrogenesis/subgraph/svg')
def render_svg():
agraph = prepare_agraph()
output = subprocess.check_output(['dot', '-T', 'svg'], input=codecs.encode(agraph.to_string()), timeout=30)
response = Response(output, mimetype='image/svg+xml')
response.headers['Content-Disposition'] = f'attachment; filename="{agraph.graph_attr["basename"]}.svg"'
return response
@app.route('/macrogenesis/subgraph/help')
def render_help():
return render_template('help.html')