def scoring_results_overlap_view(request):
settings = request.registry.settings
GUILDifier.set_parameters(settings)
session_id = request.matchdict["session_id1"]
session_id2 = request.matchdict["session_id2"]
result = GUILDifier(session_id, species=None, settings=settings)
result2 = GUILDifier(session_id2, species=None, settings=settings)
ready_flag = result.create_output_file()
ready_flag2 = result2.create_output_file()
if ready_flag is None or ready_flag2 is None: # Error
request.session["id"] = session_id
request.session["species"] = result.species
request.session["message"] = "error/contact webmaster"
return HTTPFound(location=request.route_url('status'))
elif ready_flag and ready_flag2: # Finished
if "id" in request.session:
del request.session["id"]
del request.session["species"]
del request.session["message"]
n_start = int(request.matchdict["n_start"])
n_end = int(request.matchdict["n_end"])
p_top = request.matchdict["p_top"]
parser = GUILDScoreParser(result.output_file)
parser2 = GUILDScoreParser(result2.output_file)
values, values_stat = parser.overlap_with(parser2, result.n_node,
result.species, int(p_top))
return dict(session_id1=session_id,
session_id2=session_id2,
species=BIANAQuery.TAX_ID_TO_SPECIES_NAME[result.species],
n_start=n_start,
n_end=min(n_end, len(values)),
n_node=len(values),
values=values[(n_start - 1):n_end],
values_stat=values_stat,
output_file_url=result.output_file_url,
seed_file_url=result.seed_file_url,
network_file_url=result.network_file_url,
network_json=result.get_network_json(p_top),
subnetwork_file_url=result.subnetwork_file_url + "." +
p_top,
drug_file_url=result.drug_file_url + "." + p_top,
not_last_page=n_end < result.n_node,
p_top=p_top,
top1=p_top == "1",
top5=p_top == "5",
top10=p_top == "10",
human=result.species == "9606")
request.session["id"] = session_id
request.session["species"] = result.species
request.session["message"] = "queued/running"
return HTTPFound(location=request.route_url('status'))
def scoring_results_view(request):
settings = request.registry.settings
GUILDifier.set_parameters(settings)
session_id = request.matchdict["session_id"]
result = GUILDifier(session_id, species=None, settings=settings)
ready_flag = result.create_output_file()
if ready_flag is None: # Error
request.session["id"] = session_id
request.session["species"] = result.species
request.session["message"] = "error/contact webmaster"
return HTTPFound(location=request.route_url('status'))
elif ready_flag: # Finished
if "id" in request.session:
del request.session["id"]
del request.session["species"]
del request.session["message"]
n_start = int(request.matchdict["n_start"])
n_end = int(request.matchdict["n_end"])
p_top = request.matchdict["p_top"]
parser = GUILDScoreParser(result.output_file)
values = parser.get_user_entity_info_and_scores(
n_start, n_end, result.species)
return dict(session_id=session_id,
species=BIANAQuery.TAX_ID_TO_SPECIES_NAME[result.species],
n_start=n_start,
n_end=n_end,
n_node=result.n_node,
values=values,
output_file_url=result.output_file_url,
seed_file_url=result.seed_file_url,
network_file_url=result.network_file_url,
network_json=result.get_network_json(p_top),
subnetwork_file_url=result.subnetwork_file_url + "." +
p_top,
drug_file_url=result.drug_file_url + "." + p_top,
not_last_page=n_end < result.n_node,
top1=p_top == "1",
top5=p_top == "5",
top10=p_top == "10",
human=result.species == "9606")
request.session["id"] = session_id
request.session["species"] = result.species
request.session["message"] = "queued/running"
return HTTPFound(location=request.route_url('status'))