def show_optics_cluster(request):
discussion = request.context._instance
eps = float(request.GET.get("eps", "0.02"))
min_samples = int(request.GET.get("min_samples", "3"))
test_code = request.GET.get("test_code", None)
suggestions = request.GET.get("suggestions", True)
discussion = request.context._instance
output = StringIO()
user_id = authenticated_userid(request) or Everyone
from assembl.nlp.clusters import (OpticsSemanticsAnalysis,
OpticsSemanticsAnalysisWithSuggestions)
if asbool(suggestions):
analysis = OpticsSemanticsAnalysisWithSuggestions(
discussion,
min_samples=min_samples,
eps=eps,
user_id=user_id,
test_code=test_code)
else:
analysis = OpticsSemanticsAnalysis(discussion,
min_samples=min_samples,
eps=eps,
user_id=user_id,
test_code=test_code)
from pyramid_jinja2 import IJinja2Environment
jinja_env = request.registry.queryUtility(IJinja2Environment,
name='.jinja2')
analysis.as_html(output, jinja_env)
output.seek(0)
return Response(body_file=output, content_type='text/html')
def show_optics_cluster(request):
discussion = request.context._instance
eps = float(request.GET.get("eps", "0.02"))
min_samples = int(request.GET.get("min_samples", "3"))
test_code = request.GET.get("test_code", None)
suggestions = request.GET.get("suggestions", True)
discussion = request.context._instance
output = StringIO()
user_id = authenticated_userid(request) or Everyone
from assembl.nlp.clusters import (
OpticsSemanticsAnalysis, OpticsSemanticsAnalysisWithSuggestions)
if asbool(suggestions):
analysis = OpticsSemanticsAnalysisWithSuggestions(
discussion, min_samples=min_samples, eps=eps,
user_id=user_id, test_code=test_code)
else:
analysis = OpticsSemanticsAnalysis(
discussion, min_samples=min_samples, eps=eps,
user_id=user_id, test_code=test_code)
from pyramid_jinja2 import IJinja2Environment
jinja_env = request.registry.queryUtility(
IJinja2Environment, name='.jinja2')
analysis.as_html(output, jinja_env)
output.seek(0)
return Response(body_file=output, content_type='text/html')
def show_suggestions_test(request):
discussion = request.context._instance
user_id = authenticated_userid(request)
if not user_id:
from urllib import quote
raise HTTPFound(location="/login?next="+quote(request.path))
discussion = request.context._instance
output = StringIO()
from assembl.nlp.clusters import OpticsSemanticsAnalysisWithSuggestions
analysis = OpticsSemanticsAnalysisWithSuggestions(
discussion, user_id=user_id, min_samples=3, test_code=str(user_id))
from pyramid_jinja2 import IJinja2Environment
jinja_env = request.registry.queryUtility(
IJinja2Environment, name='.jinja2')
analysis.as_html(output, jinja_env)
output.seek(0)
return Response(body_file=output, content_type='text/html')
def show_suggestions_test(request):
discussion = request.context._instance
user_id = authenticated_userid(request)
if not user_id:
from urllib import quote
raise HTTPFound(location="/login?next=" + quote(request.path))
discussion = request.context._instance
output = StringIO()
from assembl.nlp.clusters import OpticsSemanticsAnalysisWithSuggestions
analysis = OpticsSemanticsAnalysisWithSuggestions(discussion,
user_id=user_id,
min_samples=3,
test_code=str(user_id))
from pyramid_jinja2 import IJinja2Environment
jinja_env = request.registry.queryUtility(IJinja2Environment,
name='.jinja2')
analysis.as_html(output, jinja_env)
output.seek(0)
return Response(body_file=output, content_type='text/html')