write RequestArxivPreprint view

commentaries/forms.py

@@ -64,6 +64,10 @@ class ArxivQueryForm(forms.Form):
 
         return identifier
 
+    def request_arxiv_preprint_form_prefill_data(self):
+        additional_form_data = {'arxiv_identifier': self.cleaned_data['identifier']}
+        return {**self.arxiv_data, **additional_form_data}
+
 
 # class IdentifierToQueryForm(forms.Form):
 #     identifier = forms.CharField(widget=forms.TextInput(
@@ -98,7 +102,7 @@ class RequestCommentaryForm(forms.ModelForm):
     class Meta:
         model = Commentary
         fields = [
-            'discipline', 'domain', 'subject_area', 'pub_title', 'author_list', 'pub_date', 'pub_DOI', 'pub_abstract'
+            'discipline', 'domain', 'subject_area', 'pub_title', 'author_list', 'pub_date', 'pub_abstract'
         ]
         placeholders = {
             'pub_date': 'Format: YYYY-MM-DD'

commentaries/templates/commentaries/request_arxiv_preprint.html

@@ -15,7 +15,7 @@
 </div>
 
 <div class="row">
-    <form id="requestForm" action="{% url 'commentaries:request_published_article' %}" method="post">
+    <form id="requestForm" action="{% url 'commentaries:request_arxiv_preprint' %}" method="post">
         {% csrf_token %}
         {{ form|bootstrap }}
         <input class="btn btn-primary" type="submit" value="Submit"/>

commentaries/views.py

@@ -119,7 +119,8 @@ def prefill_using_arxiv_identifier(request):
     if request.method == "POST":
         arxiv_query_form = ArxivQueryForm(request.POST)
         if arxiv_query_form.is_valid():
-            raise NotImplementedError
+            prefill_data = arxiv_query_form.request_arxiv_preprint_form_prefill_data()
+            form = RequestArxivPreprintForm(initial=prefill_data)
         else:
             form = RequestArxivPreprintForm()
 

scipost/services.py

@@ -3,6 +3,7 @@ import feedparser
 import requests
 import re
 import datetime
+import dateutil.parser
 
 from django.template import Template, Context
 from .behaviors import ArxivCallable
@@ -90,12 +91,14 @@ class ArxivCaller:
         author_list = [author['name'] for author in data['authors']]
         arxiv_link = data['id']
         abstract = data['summary']
+        pub_date = dateutil.parser.parse(data['published']).date()
 
         self.data = {
             'pub_title': pub_title,
             'author_list': author_list,
             'arxiv_link': arxiv_link,
             'pub_abstract': abstract,
+            'pub_date': pub_date,
         }
 
     def _search_result_present(self, data):

scipost/test_services.py

+import datetime
+
 from django.test import TestCase
 
 from .services import ArxivCaller, DOICaller
@@ -10,15 +12,16 @@ class ArxivCallerTest(TestCase):
         caller = ArxivCaller('1612.07611v1')
         self.assertTrue(caller.is_valid)
         correct_data = {
-            'pub_abstract': 'The Berezinskii-Kosterlitz-Thouless (BKT) transitions of the six-state clock\nmodel on the square lattice are investigated by means of the corner-transfer\nmatrix renormalization group method. The classical analogue of the entanglement\nentropy $S( L, T )$ is calculated for $L$ by $L$ square system up to $L = 129$,\nas a function of temperature $T$. The entropy has a peak at $T = T^{*}_{~}( L\n)$, where the temperature depends on both $L$ and boundary conditions. Applying\nthe finite-size scaling to $T^{*}_{~}( L )$ and assuming the presence of BKT\ntransitions, the transition temperature is estimated to be $T_1^{~} = 0.70$ and\n$T_2^{~} = 0.88$. The obtained results agree with previous analyses. It should\nbe noted that no thermodynamic function is used in this study.', 'author_list': ['Roman Krčmár', 'Andrej Gendiar', 'Tomotoshi Nishino'], 'arxiv_link': 'http://arxiv.org/abs/1612.07611v1', 'pub_title': 'Phase transition of the six-state clock model observed from the\n  entanglement entropy'
+            'pub_abstract': 'The Berezinskii-Kosterlitz-Thouless (BKT) transitions of the six-state clock\nmodel on the square lattice are investigated by means of the corner-transfer\nmatrix renormalization group method. The classical analogue of the entanglement\nentropy $S( L, T )$ is calculated for $L$ by $L$ square system up to $L = 129$,\nas a function of temperature $T$. The entropy has a peak at $T = T^{*}_{~}( L\n)$, where the temperature depends on both $L$ and boundary conditions. Applying\nthe finite-size scaling to $T^{*}_{~}( L )$ and assuming the presence of BKT\ntransitions, the transition temperature is estimated to be $T_1^{~} = 0.70$ and\n$T_2^{~} = 0.88$. The obtained results agree with previous analyses. It should\nbe noted that no thermodynamic function is used in this study.', 'author_list': ['Roman Krčmár', 'Andrej Gendiar', 'Tomotoshi Nishino'], 'arxiv_link': 'http://arxiv.org/abs/1612.07611v1', 'pub_title': 'Phase transition of the six-state clock model observed from the\n  entanglement entropy', 'pub_date': datetime.date(2016, 12, 22)
         }
         self.assertEqual(caller.data, correct_data)
 
     def test_identifier_old_style(self):
         caller = ArxivCaller('cond-mat/0612480')
         self.assertTrue(caller.is_valid)
+        print(caller.data)
         correct_data = {
-            'pub_title': 'Least Action Principle for the Real-Time Density Matrix Renormalization\n  Group', 'arxiv_link': 'http://arxiv.org/abs/cond-mat/0612480v2', 'author_list': ['Kouji Ueda', 'Chenglong Jin', 'Naokazu Shibata', 'Yasuhiro Hieida', 'Tomotoshi Nishino'], 'pub_abstract': 'A kind of least action principle is introduced for the discrete time\nevolution of one-dimensional quantum lattice models. Based on this principle,\nwe obtain an optimal condition for the matrix product states on succeeding time\nslices generated by the real-time density matrix renormalization group method.\nThis optimization can also be applied to classical simulations of quantum\ncircuits. We discuss the time reversal symmetry in the fully optimized MPS.'
+            'author_list': ['Kouji Ueda', 'Chenglong Jin', 'Naokazu Shibata', 'Yasuhiro Hieida', 'Tomotoshi Nishino'], 'pub_date': datetime.date(2006, 12, 19), 'arxiv_link': 'http://arxiv.org/abs/cond-mat/0612480v2', 'pub_abstract': 'A kind of least action principle is introduced for the discrete time\nevolution of one-dimensional quantum lattice models. Based on this principle,\nwe obtain an optimal condition for the matrix product states on succeeding time\nslices generated by the real-time density matrix renormalization group method.\nThis optimization can also be applied to classical simulations of quantum\ncircuits. We discuss the time reversal symmetry in the fully optimized MPS.', 'pub_title': 'Least Action Principle for the Real-Time Density Matrix Renormalization\n  Group'
         }
         self.assertEqual(caller.data, correct_data)