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domain/Process/exonstodomain.py

@@ -8,7 +8,7 @@
 import pickle
 import pandas as pd
 
-from django_project import settings
+from django.conf import settings
 from domain.Process import process_data as pr
 from sqlalchemy import text
 
@@ -196,7 +196,12 @@ def input_transcript(Ensemble_transID):
 
     #if the transcript have known domains:
     exons,domains,unique_domains=pr.transcript(Ensemble_transID)
-    tran_name,gene_name,Ensemble_geneID,entrezID,gene_description=pr.tranID_convert(Ensemble_transID)
+
+    output=pr.tranID_convert(Ensemble_transID)
+    if output==0: return 0
+    else: tran_name,gene_name,Ensemble_geneID,entrezID,gene_description=output
+
+
 
     text1="The transcript "+tran_name+' have '+str(exons.shape[0])+' exons and '+str(len(unique_domains))+" unique protein domains." 
     # HTML code to visualize the table

domain/Process/gene.py

@@ -5,7 +5,7 @@
 
 from sqlalchemy import text
 
-from django_project import settings
+from django.conf import settings
 # --- Get database connection aka 'SQLAlchemie engine'
 engine = settings.DATABASE_ENGINE  
 

domain/Process/process_data.py

@@ -10,7 +10,7 @@
 
 from sqlalchemy import text
 
-from django_project import settings
+from django.conf import settings
 
 server = "http://rest.ensembl.org"
 cwd = os.getcwd()
@@ -170,8 +170,11 @@ def tranID_convert(Ensemble_transID):
     #df_filter = gene_info['Transcript stable ID'].isin([Ensemble_transID])
     #tdata=gene_info[df_filter]
 
-
-
+    #No domain or wrong entry
+    if    len(tdata)==0:     return 0
+
+
+
     Ensemble_geneID=tdata["Gene stable ID"].unique()[0]
     tran_name=tdata["Transcript name"].unique()[0]
     gene_name=tran_name.split('-')[0]

domain/Process/proteininfo.py

@@ -12,7 +12,7 @@ def get_protein_info(ID):
 
   #Get data about the input transcript or the protein 
   info,trID=ID_mapper(ID) 
-   
+  if info==0: return 0
   domains,unique,exons,text1,domainshtml,Text_nodes,text_edges,tran_name,gene_name,Ensemble_geneID,entrezID,gene_description,exons,droped1,droped2,exons_in_interface=info
   #save Image of protein Structure
   path='domain/static/images/'
@@ -25,7 +25,7 @@ def get_protein_info2(ID):
 
   #Get data about the input transcript or the protein 
   info,trID=ID_mapper(ID) 
-   
+  if info==0: return 0
   domains,unique,exons,text1,domainshtml,Text_nodes,text_edges,tran_name,gene_name,Ensemble_geneID,entrezID,gene_description,exons,droped1,droped2,exons_in_interface=info
 
 

domain/Process/transcript.py

@@ -7,7 +7,7 @@
 
 from sqlalchemy import text
 
-from django_project import settings
+from django.conf import settings
 # --- Get database connection aka 'SQLAlchemie engine'
 engine = settings.DATABASE_ENGINE
 
@@ -21,7 +21,9 @@
 
 def Protein_view(P_id):
 
-    domains,unique_domains,exons,text1,domainshtml,Text_nodes,text_edges,tran_name,gene_name,Ensemble_geneID,entrezID,gene_description,exons,droped1,droped2,trID,p=info.get_protein_info(P_id)
+    i=info.get_protein_info(P_id)
+    if i==0: return 0
+    domains,unique_domains,exons,text1,domainshtml,Text_nodes,text_edges,tran_name,gene_name,Ensemble_geneID,entrezID,gene_description,exons,droped1,droped2,trID,p=i
 
 
 
@@ -32,6 +34,7 @@ def Protein_view(P_id):
 
     else : 
           print('no interactions')
+          return 1
 
     #search for the protein domains interactions:
     # before coming here need to check if the protein have known domains