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Merge pull request #1 from reedjones/add-graph-relationships
feat(threads): threads.models, threads.graphs
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# data_loader.py | ||
from django.core.management.base import BaseCommand | ||
from threads.models import Civi, CiviLink, Thread # Adjust import to your app's name | ||
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from django.contrib.auth import get_user_model | ||
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User = get_user_model() | ||
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class Command(BaseCommand): | ||
help = "Load dummy data for Civis and CiviLinks" | ||
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def handle(self, *args, **kwargs): | ||
# Create a thread | ||
thread, _ = Thread.objects.get_or_create( | ||
title="Net Neutrality", | ||
) | ||
user = User.objects.first() | ||
# Create dummy Civis | ||
civi1 = Civi.objects.create( | ||
title="Civi 1: Importance of Net Neutrality", | ||
body="Net neutrality ensures that all users have equal access to information and services online.", | ||
author=user, | ||
votes_pos=10, | ||
votes_neg=2, | ||
thread=thread, | ||
) | ||
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civi2 = Civi.objects.create( | ||
title="Civi 2: Risks of Removing Net Neutrality", | ||
body="Without net neutrality, ISPs could prioritize their own content or the content of those who pay for faster access.", | ||
author=user, | ||
votes_pos=15, | ||
votes_neg=1, | ||
thread=thread, | ||
) | ||
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civi3 = Civi.objects.create( | ||
title="Civi 3: Public Opinion on Net Neutrality", | ||
body="A significant portion of the public supports net neutrality regulations to protect free internet access.", | ||
author=user, | ||
votes_pos=20, | ||
votes_neg=3, | ||
thread=thread, | ||
) | ||
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# Create dummy CiviLinks | ||
CiviLink.objects.create( | ||
from_civi=civi1, to_civi=civi2, relation_type="response" | ||
) | ||
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CiviLink.objects.create( | ||
from_civi=civi2, to_civi=civi1, relation_type="rebuttal" | ||
) | ||
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CiviLink.objects.create(from_civi=civi1, to_civi=civi3, relation_type="support") | ||
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CiviLink.objects.create( | ||
from_civi=civi3, to_civi=civi2, relation_type="challenge" | ||
) | ||
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self.stdout.write(self.style.SUCCESS("Successfully loaded dummy data")) |
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from rest_framework.decorators import api_view | ||
from rest_framework.response import Response | ||
from .graphs import ( | ||
load_graph_from_db, | ||
most_caused_problems, | ||
most_effective_solution, | ||
shortest_path_problem_to_solution, | ||
) | ||
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@api_view(["GET"]) | ||
def get_most_caused_problem(request): | ||
with_score = request.GET.get("with_score", False) | ||
G = load_graph_from_db(with_score) | ||
problem = most_caused_problems(G) | ||
if problem: | ||
if with_score: | ||
return Response( | ||
{ | ||
"problem": G.nodes[problem]["label"], | ||
"score": G.nodes[problem]["score"], | ||
} | ||
) | ||
else: | ||
return Response({"problem": G.nodes[problem]["label"]}) | ||
return Response({"error": "No problem found"}, status=404) | ||
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@api_view(["GET"]) | ||
def get_most_effective_solution(request): | ||
with_score = request.GET.get("with_score", False) | ||
G = load_graph_from_db(with_score) | ||
solution = most_effective_solution(G) | ||
if solution: | ||
if with_score: | ||
return Response( | ||
{ | ||
"solution": G.nodes[solution]["label"], | ||
"score": G.nodes[solution]["score"], | ||
} | ||
) | ||
else: | ||
return Response({"solution": G.nodes[solution]["label"]}) | ||
return Response({"error": "No solution found"}, status=404) | ||
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@api_view(["GET"]) | ||
def get_shortest_path(request, problem_id, solution_id): | ||
with_score = request.GET.get("with_score", False) | ||
G = load_graph_from_db(with_score) | ||
path = shortest_path_problem_to_solution(G, int(problem_id), int(solution_id)) | ||
if path: | ||
path_labels = [G.nodes[node]["label"] for node in path] | ||
return Response({"path_labels": path_labels, "path":path}) | ||
return Response({"error": "No path found"}, status=404) | ||
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@api_view(['GET']) | ||
def get_graph_data(request): | ||
G = load_graph_from_db() # Load the graph from your DB or other data source | ||
nodes = [] | ||
edges = [] | ||
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# Format nodes and edges to match Cytoscape format | ||
for node, attr in G.nodes(data=True): | ||
nodes.append({ | ||
'data': { | ||
'id': node, | ||
'label': attr.get('label', node), | ||
'type': attr.get('type'), | ||
'score': attr.get('score', 0), | ||
} | ||
}) | ||
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for source, target, attr in G.edges(data=True): | ||
edges.append({ | ||
'data': { | ||
'id': f'{source}-{target}', | ||
'source': source, | ||
'target': target, | ||
'label': attr.get('label', 'related') | ||
} | ||
}) | ||
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return Response({'nodes': nodes, 'edges': edges}) |
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import networkx as nx | ||
from .models import Civi, CiviLink | ||
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def load_graph_from_db(with_score:bool=False): | ||
# Create a directed graph | ||
G = nx.DiGraph() | ||
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# Add all Civis as nodes | ||
for civi in Civi.objects.all(): | ||
node_args, node_kwargs = civi.__node__(with_score=with_score) | ||
G.add_node(*node_args, **node_kwargs) | ||
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# Add CiviLinks as edges | ||
for link in CiviLink.objects.all(): | ||
edge_args, edge_kwargs = link.__edge__() | ||
G.add_edge(*edge_args, **edge_kwargs) | ||
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return G | ||
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def most_caused_problems(G, with_score:bool=False): | ||
problem_nodes = [n for n, attr in G.nodes(data=True) if attr["type"] == "Problem"] | ||
if with_score: | ||
return max(problem_nodes, key=lambda n: (G.in_degree(n), G.nodes[n]['score']), default=None) | ||
return max(problem_nodes, key=lambda n: G.in_degree(n), default=None) | ||
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def most_effective_solution(G, with_score:bool=False): | ||
solution_nodes = [n for n, attr in G.nodes(data=True) if attr["type"] == "Solution"] | ||
if with_score: | ||
return max(solution_nodes, key=lambda n: (G.out_degree(n), G.nodes[n]['score']), default=None) | ||
return max(solution_nodes, key=lambda n: G.out_degree(n), default=None) | ||
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def shortest_path_problem_to_solution(G, problem_id, solution_id, with_score:bool=False): | ||
try: | ||
if with_score: | ||
return nx.shortest_path(G, source=problem_id, target=solution_id, weight='weight') | ||
return nx.shortest_path(G, source=problem_id, target=solution_id) | ||
except nx.NetworkXNoPath: | ||
return None |
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