def retrieve(self, request, *args, **kargs):
aid = int(kargs['article'])
plugin = kargs['pk']
result = amcatxtas.get_result(aid, plugin)
return Response({"results" : result})
def retrieve(self, request, *args, **kargs):
aid = int(kargs['article'])
plugin = kargs['pk']
result = get_result(aid, plugin)
return Response({"results": result})
def get_context_data(self, **kwargs):
from syntaxrules.syntaxtree import SyntaxTree
from syntaxrules.soh import SOHServer
ctx = super(ArticleRuleDetailsView, self).get_context_data(**kwargs)
saf = amcatxtas.get_result(int(self.kwargs['article_id']),
self.object.preprocessing)
sid = int(self.request.GET.get("sid", 1))
sentences = list(self.get_sentences(saf))
soh = SOHServer(url="http://localhost:3030/x")
t = SyntaxTree(soh)
t.load_saf(saf, sid)
g = t.get_graphviz()
original_tree = base64.b64encode(g.draw(format='png', prog='dot'))
ruleset = self.object.get_ruleset()
t.apply_ruleset(ruleset)
g = t.get_graphviz(grey_rel=True)
processed_tree = base64.b64encode(g.draw(format='png', prog='dot'))
ruleset_dump = json.dumps(ruleset, indent=2)
saf_dump = json.dumps(saf, indent=2)
ctx.update(locals())
return ctx
def to_native(self, ruleset):
from syntaxrules import SyntaxTree, get_struct_tokens
if self.many is False: # explicit compare because we don't want None
# Get parse
module = ruleset.preprocessing
saf = get_result(self.context['article'], module)
t = SyntaxTree(saf)
if self.context['preprocess']:
r = RuleSet.objects.get(pk=int(self.context['preprocess']))
t.apply_ruleset(r.get_ruleset())
# Apply rules
t.apply_ruleset(ruleset.get_ruleset())
return list(get_struct_tokens(t.get_structs()))
res = super(RulesetSerializer, self).to_native(ruleset)
return res
def to_native(self, ruleset):
from syntaxrules import SyntaxTree, get_struct_tokens
if self.many is False: # explicit compare because we don't want None
# Get parse
module = ruleset.preprocessing
saf = get_result(self.context['article'], module)
t = SyntaxTree(saf)
if self.context['preprocess']:
r = RuleSet.objects.get(pk=int(self.context['preprocess']))
t.apply_ruleset(r.get_ruleset())
# Apply rules
t.apply_ruleset(ruleset.get_ruleset())
return list(get_struct_tokens(t.get_structs()))
res = super(RulesetSerializer,self).to_native(ruleset)
return res
def get_context_data(self, **kwargs):
from syntaxrules.syntaxtree import SyntaxTree
ctx = super(ArticleRuleDetailsView, self).get_context_data(**kwargs)
saf = amcatxtas.get_result(int(self.kwargs['article_id']),
self.object.preprocessing)
sid = int(self.request.GET.get("sid", 1))
sentences = list(self.get_sentences(saf))
t = SyntaxTree(saf, sid)
g = t.get_graphviz()
original_tree = base64.b64encode(g.draw(format='png', prog='dot'))
if 'preprocess' in self.request.GET:
prep = RuleSet.objects.get(pk=int(self.request.GET['preprocess']))
t.apply_ruleset(prep.get_ruleset())
g = t.get_graphviz(grey_rel=True)
preprocessed_tree = base64.b64encode(g.draw(format='png', prog='dot'))
trees = [] # [(name, tree), ] for intermediate trees
ruleset = self.object.get_ruleset()
updates = [t._get_lexicon_update(ruleset['lexicon'])]
for rule in ruleset['rules']:
updates.append(rule)
if rule.get('display'):
t.apply_updates(updates)
updates = []
g = t.get_graphviz(grey_rel=True)
png = base64.b64encode(g.draw(format='png', prog='dot'))
trees.append(('After '+rule['label'], png))
t.apply_updates(updates)
g = t.get_graphviz(grey_rel=True)
processed_tree = base64.b64encode(g.draw(format='png', prog='dot'))
ruleset_dump = json.dumps(ruleset, indent=2)
saf_dump = json.dumps(saf, indent=2)
ctx.update(locals())
return ctx
def get_context_data(self, **kwargs):
from syntaxrules.syntaxtree import SyntaxTree
ctx = super(ArticleRuleDetailsView, self).get_context_data(**kwargs)
saf = amcatxtas.get_result(int(self.kwargs['article_id']),
self.object.preprocessing)
sid = int(self.request.GET.get("sid", 1))
sentences = list(self.get_sentences(saf))
t = SyntaxTree(saf, sid)
g = t.get_graphviz()
original_tree = base64.b64encode(g.draw(format='png', prog='dot'))
if 'preprocess' in self.request.GET:
prep = RuleSet.objects.get(pk=int(self.request.GET['preprocess']))
t.apply_ruleset(prep.get_ruleset())
g = t.get_graphviz(grey_rel=True)
preprocessed_tree = base64.b64encode(
g.draw(format='png', prog='dot'))
trees = [] # [(name, tree), ] for intermediate trees
ruleset = self.object.get_ruleset()
updates = [t._get_lexicon_update(ruleset['lexicon'])]
for rule in ruleset['rules']:
updates.append(rule)
if rule.get('display'):
t.apply_updates(updates)
updates = []
g = t.get_graphviz(grey_rel=True)
png = base64.b64encode(g.draw(format='png', prog='dot'))
trees.append(('After ' + rule['label'], png))
t.apply_updates(updates)
g = t.get_graphviz(grey_rel=True)
processed_tree = base64.b64encode(g.draw(format='png', prog='dot'))
ruleset_dump = json.dumps(ruleset, indent=2)
saf_dump = json.dumps(saf, indent=2)
ctx.update(locals())
return ctx
def to_native(self, article):
if article is None: return {}
saf = get_result(article.pk, self.module)
return list(self.get_xtas_results(article.pk, saf))
def to_native(self, article):
if article is None: return {}
saf = get_result(article.pk, self.module)
return list(self.get_xtas_results(article.pk, saf))