Create discourse_graph.py

discourse_graph.py

@@ -0,0 +1,30 @@
+import networkx as nx
+
+DG = nx.DiGraph()
+
+
+def add_claim(company, claim, evidence):
+
+    DG.add_node(claim, type="claim")
+
+    DG.add_node(evidence, type="evidence")
+
+    DG.add_edge(evidence, claim, relation="supports")
+
+
+def add_contradiction(claim, evidence):
+
+    DG.add_edge(evidence, claim, relation="contradicts")
+
+
+def detect_greenwashing():
+
+    issues = []
+
+    for u,v,d in DG.edges(data=True):
+
+        if d.get("relation") == "contradicts":
+
+            issues.append((u,v))
+
+    return issues