Merge pull request #44 from Spoken-tutorial/fetch_questions

fetch questions

Author: ganeshmohite

website/management/commands/__init__.py

@@ -0,0 +1,31 @@
+from django.core.management.base import BaseCommand
+from django.db import transaction as tx
+import csv
+from website.models import Question, Answer
+from django.conf import settings
+from django.utils.html import strip_tags
+import uuid
+
+class Command(BaseCommand):
+    def add_arguments(self, parser):
+        parser.add_argument('foss', nargs='+',type=str, help='Indicates the foss list.')
+
+    @tx.atomic
+    def handle(self, *args, **options):
+        print("Generating Question Metadata. Please wait...")
+        meta_file_name = 'metadata_'+uuid.uuid4().hex+".csv"
+        with open(settings.BASE_DIR +"/"+ meta_file_name, "w+", newline='') as metafile:
+            metawriter = csv.writer(metafile, dialect='excel', delimiter='|')
+            metawriter.writerow(["FOSS","Tutorial","Video Minute Range","Video Second Range","Question Title","Question Body","Question_Date","Question Posted By","Answer No.","Answer Body","Answer Date", "Answer Posted By"])
+            foss = options['foss']
+            for f in foss:
+                questions = Question.objects.filter(category=f, status=1)
+                for q in questions:
+                    metawriter.writerow([q.category,q.tutorial,q.minute_range,q.second_range,q.title,strip_tags(q.body).strip(" "),q.date_created,q.user()])
+                    answers = Answer.objects.filter(question=q)
+                    for i, a in enumerate(answers):
+                        metawriter.writerow(["","","","","","","","",i+1, strip_tags(a.body).strip(" "),a.date_created, a.user()])
+                    metawriter.writerow([])
+            print("Metadata File Generated. Please find the file at location given below.")
+            print(metafile.name)
+