Feat/write recommended articles

README.md

@@ -5,7 +5,7 @@
 
 <h1 align="center" style="border-bottom: none;">🚀 Literature Survey</h1>
 
-Welcome to Team VPE's Literature Survey Template Repository! 📚✨ This repository provides you with a quick setup to create your very own automated literature survey website using Semantic Scholar's [Recommendation API](https://api.semanticscholar.org/api-docs/recommendations).
+Welcome to Team VPE's Literature Survey Template Repository! 📚✨ This repository provides you with a quick setup to create your very own automated literature survey website using Semantic Scholar's [Recommendation API](https://api.semanticscholar.org/api-docs/recommendations), and provides an option to import the recommended articles to your [Zotero](https://www.zotero.org/) account.
 
 ### Types of Recommendations
 Semantic Scholar provides 2 types of recommendations:
@@ -66,6 +66,16 @@ Head over to the localhost link that pops up in your terminal.
 
 12. (Optional) Edit custom.css if you'd like to change the styling of web pages.
 
+### Zotero Plugin
+If you'd like to read the recommended articles in your Zotero Account:
+1. Create an account with Zotero
+2. Under the `Settings` tab in your GitHub repo, click on `Secrets and variables`, and select `Actions`
+3. Set the following `Repository secrets`:
+    - `ZOTERO_API_KEY` as Zotero API key (you can get it [here](https://www.zotero.org/settings/keys/new))
+    - `LIBRARY_ID` as your group ID (this can be found by opening the group's page: https://www.zotero.org/groups/groupname , and hovering over the group settings link. The ID is the integer after /groups/)
+    - `TEST_COLLECTION_KEY` as your collection's key (enter `https://api.zotero.org/groups/<LIBRARY_ID>/collections?key=<ZOTERO_API_KEY>` in your browser to view all the collections in your group; choose the key of the collection in which you'd like the recommended articles to be sotred)
+4. The changes take effect only when the code is re-run. This can happen either the next time the code is scheduled for a run (Mondays) or under the `Actions` tab, select `mkdocs-deploy` from the left panel, and click on `Run workflow`.
+
 ### Bugs? Feature Requests?
 If you encounter any bugs or have brilliant ideas for new features, please head over to the [Issues](https://github.com/VirtualPatientEngine/literatureSurvey/issues) and let us know.
 

app/code/literature_fetch_recommendation_api.py

@@ -179,7 +179,7 @@ def create_template(template,
         if len(topic_obj.paper_ids['positive']) == 0:
             print (f'No positive articles for {topic_obj.topic}. Skipping...')
         else:
-            search_response_json = utils.add_recommendations(topic_obj, limit=300)
+            search_response_json = utils.add_recommendations(topic_obj, limit=200)
             for paper_data in search_response_json['recommendedPapers']:
                 paper_id = paper_data['paperId']
                 # skip the ones with publication date is null
@@ -208,6 +208,8 @@ def create_template(template,
             for article_id, article_obj in topic_obj.paper_ids[article_type].items():
                 utils.update_h_index(article_obj, author_details)
         print (f'Fetched the details of the authors (n={len(author_details)}) for {topic}.')
+        # Add the recommended articles to Zotero
+        utils.add_recommended_articles_to_zotero(topic, topic_obj.paper_ids)
         # Create the markdown text
         markdown_text = create_template(
                                         ("../../templates", "topic.txt"),

app/code/utils.py

@@ -4,17 +4,57 @@
 script to define utility functions
 '''
 
+import os
 import sys
 import re
 import matplotlib.pyplot as plt
 import pandas as pd
 import yaml
 import requests
+from pyzotero import zotero
 
 FIELDS = 'paperId,url,authors,journal,title,'
 FIELDS += 'publicationTypes,publicationDate,citationCount,'
 FIELDS += 'publicationVenue,externalIds,abstract'
 
+LIBRARY_TYPE = 'group'
+LIBRARY_ID = os.environ.get('LIBRARY_ID')
+ZOTERO_API_KEY = os.environ.get('ZOTERO_API_KEY')
+TEST_COLLECTION_KEY = os.environ.get('TEST_COLLECTION_KEY')
+
+def add_recommended_articles_to_zotero(topic_name, paper_ids):
+    """
+    Add the recommended articles to zotero
+    """
+    if LIBRARY_ID is None or ZOTERO_API_KEY is None or TEST_COLLECTION_KEY is None:
+        print ('Zotero credentials not found.')
+    else:
+        print ('Adding recommended articles to Zotero.')
+        # Create a zotero object
+        zot = zotero.Zotero(LIBRARY_ID, LIBRARY_TYPE, ZOTERO_API_KEY)
+        new_items = []
+        for _, paper_obj in paper_ids['recommended'].items():
+            # create a template for the paper
+            template = zot.item_template('journalArticle')
+            template['title'] = paper_obj.info.title
+            template['creators'] = []
+            for author in paper_obj.authors:
+                template['creators'].append({'creatorType': 'author',
+                                            'name': author.author_name})
+            template['publicationTitle'] = paper_obj.info.journal
+            template['date'] = paper_obj.info.publication_date
+            template['abstractNote'] = paper_obj.info.abstract
+            template['url'] = paper_obj.info.url
+            # assign topic names as tags
+            template['tags'] = [{'tag': topic_name}]
+            # assign the paper to the collection
+            template['collections'] = [TEST_COLLECTION_KEY]
+            new_items.append(template)
+        # add all the items to zotero, only 50 items at a time
+        for i in range(0, len(new_items), 50):
+            zot.check_items(new_items[i:i+50])
+            zot.create_items(new_items[i:i+50])
+
 def add_negative_articles(topic_obj, dic):
     """
     Add the negative articles to the topic object
@@ -25,15 +65,19 @@ def add_negative_articles(topic_obj, dic):
         # Skip the current topic
         if topic == topic_obj.topic:
             continue
-        # Add the articles from the other topics
-        # as negative articles to the current topic
+        # Add the negative articles to the topic object
         for paper_id in dic[topic].paper_ids['positive']:
-            # Skip if the article is already in the negative articles
+            # Skip if the paper id is already in the negative articles
             if paper_id in topic_obj.paper_ids['negative']:
                 continue
-            # Skip if the article is already in the positive articles
+            # Skip if the paper id is already in the positive articles
+            # i.e. do not add the same paper id to both positive and negative articles
             if paper_id in topic_obj.paper_ids['positive']:
                 continue
+            # Skip if the paper id if it is marked to be not used for recommendation
+            paper_obj = dic[topic].paper_ids['positive'][paper_id]
+            if paper_obj.use_for_recommendation is False:
+                continue
             topic_obj.paper_ids['negative'][paper_id]=dic[topic].paper_ids['positive'][paper_id]
     print (f'Added {len(topic_obj.paper_ids["negative"])} negative articles for {topic_obj.topic}.')
 
@@ -175,18 +219,14 @@ def add_recommendations(topic_obj,
     params = {'fields': fields, 'limit': limit}
     # Select positive articles that have use_for_recommendation set to True
     positive_paper_ids = []
-    count = 0
+    # count = 0
     for paper_id, paper_obj in topic_obj.paper_ids['positive'].items():
         if paper_obj.use_for_recommendation is False:
             continue
         positive_paper_ids.append(paper_id)
-        count += 1
-        if count == 10:
-            break
     json = {
-            # 'positivePaperIds': list(topic_obj.paper_ids['positive'].keys())[:10],
             'positivePaperIds': positive_paper_ids,
-            'negativePaperIds': list(topic_obj.paper_ids['negative'].keys())[:10],
+            'negativePaperIds': list(topic_obj.paper_ids['negative'].keys()),
             }
     status_code = 0
     while status_code not in [200, 400, 404]: