def map_view(request, map_id):
export = "export_button" in request.POST
items, enzymes, metabolites = request_extract(request)
map_data = get_reaction_map(map_id, enzymes, metabolites, export)
if export:
map_data = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>""" + map_data
import wand.image
with wand.image.Image(blob=map_data, format="svg") as image:
png_image = image.make_blob("png")
response = HttpResponse(png_image, content_type='image/png')
response['Content-Disposition'] = 'attachment; filename={}.png'.format(map_id)
return response
return render_queryset_to_response(
request=request,
template="kegg/map.html",
data={
'map_id': map_id,
'map_data': map_data,
'enzymes': enzymes,
'metabolites': metabolites,
'items': items,
'queries': [] if request.user.is_anonymous() else models.Query.objects.filter(user=request.user.profile),
'is_anonymous': request.user.is_anonymous()
}
)
def map_view(request, map_id):
export = "export_button" in request.POST
items, enzymes, metabolites = request_extract(request)
map_data = get_reaction_map(map_id, enzymes, metabolites, export)
if export:
map_data = """<?xml version="1.0" encoding="UTF-8" standalone="no"?>""" + map_data
import wand.image
with wand.image.Image(blob=map_data.encode("utf-8"), format="svg") as image:
png_image = image.make_blob("png")
response = HttpResponse(png_image, content_type='image/png')
response['Content-Disposition'] = 'attachment; filename={}.png'.format(map_id)
return response
return render_queryset_to_response(
request=request,
template="kegg/map.html",
data={
'map_id': map_id,
'map_data': map_data,
'enzymes': enzymes,
'metabolites': metabolites,
'items': items,
'queries': [] if request.user.is_anonymous() else models.Query.objects.filter(user=request.user.profile),
'is_anonymous': request.user.is_anonymous()
}
)
def index(request):
items, enzymes, metabolites = request_extract(request)
ecs = list(map(lambda x: x[0], enzymes))
metas = list(map(lambda x: x[0], metabolites))
query = None
if len(metas) > 0:
# reduce magic via https://stackoverflow.com/questions/7088173/
query = reduce(lambda x, y: x | y, [Q(name__icontains=word) for word in metas])
query |= reduce(lambda x, y: x | y, [Q(title__icontains=word) for word in metas])
if len(ecs) > 0:
if query is None:
query = Q(ec_numbers__name__in=ecs)
else:
query |= Q(ec_numbers__name__in=ecs)
if query is not None:
kegg_maps = models.Map.objects.filter(query).distinct()
else:
kegg_maps = models.Map.objects.all()
overview = filter(lambda x: x.overview, kegg_maps)
other = filter(lambda x: not x.overview, kegg_maps)
return render_queryset_to_response(
request=request,
template="kegg/index.html",
data={
'overview_maps': overview,
'other_maps': other,
'items': items,
'queries': [] if request.user.is_anonymous() else models.Query.objects.filter(user=request.user.profile),
'is_anonymous': request.user.is_anonymous()
}
)
def index(request):
items, enzymes, metabolites = request_extract(request)
ecs = list(map(lambda x: x[0], enzymes))
metas = list(map(lambda x: x[0], metabolites))
query = None
if len(metas) > 0:
# reduce magic via https://stackoverflow.com/questions/7088173/
query = reduce(lambda x, y: x | y, [Q(name__icontains=word) for word in metas])
query |= reduce(lambda x, y: x | y, [Q(title__icontains=word) for word in metas])
if len(ecs) > 0:
if query is None:
query = Q(ec_numbers__name__in=ecs)
else:
query |= Q(ec_numbers__name__in=ecs)
if query is not None:
kegg_maps = models.Map.objects.filter(query).distinct()
else:
kegg_maps = models.Map.objects.all()
overview = filter(lambda x: x.overview, kegg_maps)
other = filter(lambda x: not x.overview, kegg_maps)
return render_queryset_to_response(
request=request,
template="kegg/index.html",
data={
'overview_maps': overview,
'other_maps': other,
'items': items,
'queries': [] if request.user.is_anonymous() else models.Query.objects.filter(user=request.user.profile),
'is_anonymous': request.user.is_anonymous()
}
)