def BuildGraphFromSpec(graphData, graph_id, graph_spec, subFolder) :
graph_type = graph_spec.pop()
questions = graph_spec
size = len(graphData)
file_name = os.path.join(subFolder, 'SVG', 'graph' + graph_id + '.dot')
edges = []
dict = {}
for nodeData in graphData:
[id, local_id, name, age, edgeGroups] = nodeData
dict[id] = local_id
# compute all edges
for nodeData in graphData:
[id, local_id, name, age, edgeGroups] = nodeData
for question in questions:
targets = edgeGroups[question-1]
for target in targets:
edges = edges + [[local_id, dict.get(target,'0')]]
# compute symmetric edges (pairs of eges)
if graph_type == 'pairs' :
sym_edges = []
for edge in edges :
reverse = [edge[1],edge[0]]
if edges.count(reverse) > 0 :
sym_edges = sym_edges + [edge]
edges = sym_edges
# remove duplicates
edges = removeDuplicates(edges)
# build the graph and the visualization
G = SocioGraph.MakeGraphFromEdges(size, edges, graph_type, file_name)
# save the graph statistics
code = 'val' + BuildTexts.encodeNumber(graph_id) + 'links'
if graph_type == 'pairs' :
links = len(edges) / 2
else :
links = len(edges)
BuildTexts.addMacro(subFolder, code, links)
# build the rating table
if graph_type == 'directed' :
BuildRatings.computeRating(subFolder, graph_id, G)
return G
def ComputeValues(subFolder, statData) :
print '\nCompute the statistics values and build the charts'
BuildRatings.buildNamesListFile(subFolder, statData)
BuildRatings.addNamesListToHtml(subFolder)
BuildRatings.addSizeComments(subFolder, len(statData))
StatValues1.ComputeAll(subFolder, statData)
StatValues2.ComputeAll(subFolder, statData)
StatValues3.ComputeAll(subFolder, statData)
StatValues4.ComputeAll(subFolder, statData)
StatValues5.ComputeAll(subFolder, statData)
