def create_graph_data_node_for_structure_node(node, slot=None, path=None,
slot_path=None):
if slot_path:
slot = get_node_for_path(slot_path)
if not path:
path = get_good_path_for_structure_node(node, slot, slot_path)
if slot:
if not slot_path:
slot_path = slot.get_a_path()
origin_group = [slot_path + '.' + str(n.get_index(slot)) for n in
node.sources.filter(parents__in=[slot]).all()]
origin_group += [n.get_a_path() for n in
node.sources.exclude(parents__in=[slot]).all()]
else:
origin_group = [n.get_a_path() for n in node.sources.all()]
graph_data_node = dict(
path=path,
authorGroup=[create_user_info(a) for a in node.text.authors.all()],
follows=node.votes.count(),
spamFlags=node.spam_flags.count(),
unFollows=node.get_unfollows(),
newFollows=node.get_newfollows(),
title=node.title,
originGroup=[o.rstrip('/') for o in origin_group]
)
return graph_data_node
def create_graph_data_node_for_structure_node(node,
slot=None,
path=None,
slot_path=None):
if slot_path:
slot = get_node_for_path(slot_path)
if not path:
path = get_good_path_for_structure_node(node, slot, slot_path)
if slot:
if not slot_path:
slot_path = slot.get_a_path()
origin_group = [
slot_path + '.' + str(n.get_index(slot))
for n in node.sources.filter(parents__in=[slot]).all()
]
origin_group += [
n.get_a_path()
for n in node.sources.exclude(parents__in=[slot]).all()
]
else:
origin_group = [n.get_a_path() for n in node.sources.all()]
graph_data_node = dict(
path=path,
authorGroup=[create_user_info(a) for a in node.text.authors.all()],
follows=node.votes.count(),
spamFlags=node.spam_flags.count(),
unFollows=node.get_unfollows(),
newFollows=node.get_newfollows(),
title=node.title,
originGroup=[o.rstrip('/') for o in origin_group])
return graph_data_node
def create_paragraph_list_for_node(node, path, depth=1):
paragraphs = [create_paragraph_for_node(node, path, depth=depth)]
for slot in backend.get_ordered_children_for(node):
favorite = slot.favorite
slot_path = path + "/" + slot.title
fav_path = get_good_path_for_structure_node(favorite, slot, slot_path)
paragraphs += create_paragraph_list_for_node(favorite,
fav_path,
depth=depth + 1)
return paragraphs
def create_paragraph_list_for_node(node, path, depth=1):
paragraphs = [create_paragraph_for_node(node, path, depth=depth)]
for slot in backend.get_ordered_children_for(node):
favorite = slot.favorite
slot_path = path + "/" + slot.title
fav_path = get_good_path_for_structure_node(favorite, slot, slot_path)
paragraphs += create_paragraph_list_for_node(favorite,
fav_path,
depth=depth + 1)
return paragraphs
def store_structure_node(path, wiki_text, author):
slot_path = path.rsplit('.', 1)[0]
slot = get_node_for_path(slot_path)
structure = backend.parse(wiki_text, None)
structure_node = backend.create_structure_from_structure_node_schema(
structure, slot, [author])
# add auto follow
create_vote(author, [structure_node])
return structure_node, get_good_path_for_structure_node(structure_node,
slot, slot_path)
def store_structure_node(path, wiki_text, author, argument=None):
slot_path = path.rsplit('.', 1)[0]
slot = get_node_for_path(slot_path)
structure_schema = backend.parse(wiki_text, None)
clone_candidates = None
if argument:
clone_candidates = slot.children.all()
structure_node = backend.create_structure_from_structure_node_schema(
structure_schema, slot, author, clone_candidates)
# add auto follow
create_vote(author, [structure_node])
return structure_node, get_good_path_for_structure_node(structure_node,
slot, slot_path)
def store_derivate(path, arg_text, arg_type, derivate_wiki_text, author):
node = get_node_for_path(path)
arg_title, arg_text = backend.split_title_from_text(arg_text)
slot_path = path.rsplit('.', 1)[0]
slot = get_node_for_path(slot_path)
structure_schema = backend.parse(derivate_wiki_text, None)
score_tree = build_score_tree(node, structure_schema)
new_node, path_couples = backend.create_derivate_from_structure_node_schema(
structure_schema, slot, author, node, score_tree, arg_type, arg_title,
arg_text)
new_path = get_good_path_for_structure_node(new_node, slot, slot_path)
return new_path, path_couples
