def visualize_related_nodes(path, tag, outp_title):
"""Construct the knowledge graph limited to the ancestors and descendants of a given node.
Useful for understanding the bottleneck scores.
path -- the location of the content, e.g. knoweldge-maps/content
tag -- the tag to find ancestors and descendants of
dot_file -- the output .dot file
svg_file -- the output .svg file
"""
dot_file = '%s.dot' % outp_title
svg_file = '%s.svg' % outp_title
json_file = '%s.json' % outp_title
nodes = formats.read_nodes(path) # TODO should we always read all nodes?
nodes = graphs.remove_missing_links(nodes)
graph = graphs.Graph.from_node_dependencies(nodes)
ancestors = graphs.ancestors_set(nodes, graph, tag)
descendants = graphs.descendants_set(nodes, graph, tag)
relevant = set([tag]).union(ancestors).union(descendants)
nodes = {tag: node for tag, node in nodes.items() if tag in relevant}
nodes = graphs.remove_missing_links(nodes)
graph = graphs.Graph.from_node_dependencies(nodes)
formats.write_graph_dot(nodes, graph, open(dot_file, 'w'))
os.system('dot -Tsvg %s -o %s' % (dot_file, svg_file))
formats.write_graph_json(nodes, graph, open(json_file, 'w'))
def visualize_related_nodes(path, tag, outp_title):
"""Construct the knowledge graph limited to the ancestors and descendants of a given node.
Useful for understanding the bottleneck scores.
path -- the location of the content, e.g. knoweldge-maps/content
tag -- the tag to find ancestors and descendants of
dot_file -- the output .dot file
svg_file -- the output .svg file
"""
dot_file = '%s.dot' % outp_title
svg_file = '%s.svg' % outp_title
json_file = '%s.json' % outp_title
nodes = formats.read_nodes(path) # TODO should we always read all nodes?
nodes = graphs.remove_missing_links(nodes)
graph = graphs.Graph.from_node_dependencies(nodes)
ancestors = graphs.ancestors_set(nodes, graph, tag)
descendants = graphs.descendants_set(nodes, graph, tag)
relevant = set([tag]).union(ancestors).union(descendants)
nodes = {tag: node for tag, node in nodes.items() if tag in relevant}
nodes = graphs.remove_missing_links(nodes)
graph = graphs.Graph.from_node_dependencies(nodes)
formats.write_graph_dot(nodes, graph, open(dot_file, 'w'))
os.system('dot -Tsvg %s -o %s' % (dot_file, svg_file))
formats.write_graph_json(nodes, graph, open(json_file, 'w'))
def load(content_dir):
nodes = read_nodes(content_dir)
nodes = graphs.remove_missing_links(nodes)
shortcuts = read_shortcuts(content_dir, nodes)
graph = graphs.Graph.from_node_and_shortcut_dependencies(nodes, shortcuts)
resource_dict = resources.read_resources_file(resources.resource_db_path())
id2tag = dict([(node.id, tag) for tag, node in nodes.items()
if node.id is not None])
tag2id = dict([(tag, node.id) for tag, node in nodes.items()
if node.id is not None])
flags = read_flags(content_dir)
concept_times, shortcut_times = read_time_estimates(content_dir)
return Database(nodes, shortcuts, graph, resource_dict, id2tag, tag2id, flags,
concept_times, shortcut_times)
def load(content_dir):
nodes = read_nodes(content_dir)
nodes = graphs.remove_missing_links(nodes)
shortcuts = read_shortcuts(content_dir, nodes)
graph = graphs.Graph.from_node_and_shortcut_dependencies(nodes, shortcuts)
resource_dict = resources.read_resources_file(resources.resource_db_path())
id2tag = dict([(node.id, tag) for tag, node in nodes.items()
if node.id is not None])
tag2id = dict([(tag, node.id) for tag, node in nodes.items()
if node.id is not None])
flags = read_flags(content_dir)
concept_times, shortcut_times = read_time_estimates(content_dir)
return Database(nodes, shortcuts, graph, resource_dict, id2tag, tag2id, flags,
concept_times, shortcut_times)
def generate_full_graph(path, outp_title):
"""Construct the full knowledge graph.
path -- the location of the content, e.g. knoweldge-maps/content
dot_file -- the output .dot file
svg_file -- the output .svg file
"""
dot_file = '%s.dot' % outp_title
svg_file = '%s.svg' % outp_title
json_file = '%s.json' % outp_title
nodes = formats.read_nodes(path)
nodes = graphs.remove_missing_links(nodes)
graph = graphs.Graph.from_node_dependencies(nodes)
formats.write_graph_dot(nodes, graph, open(dot_file, 'w'))
os.system('dot -Tsvg %s -o %s' % (dot_file, svg_file))
formats.write_graph_json(nodes, graph, open(json_file, 'w'))
def generate_full_graph(path, outp_title):
"""Construct the full knowledge graph.
path -- the location of the content, e.g. knoweldge-maps/content
dot_file -- the output .dot file
svg_file -- the output .svg file
"""
dot_file = '%s.dot' % outp_title
svg_file = '%s.svg' % outp_title
json_file = '%s.json' % outp_title
nodes = formats.read_nodes(path)
nodes = graphs.remove_missing_links(nodes)
graph = graphs.Graph.from_node_dependencies(nodes)
formats.write_graph_dot(nodes, graph, open(dot_file, 'w'))
os.system('dot -Tsvg %s -o %s' % (dot_file, svg_file))
formats.write_graph_json(nodes, graph, open(json_file, 'w'))
