Restore research agent persisted storage

examples/data/groupchat/fetch_arxiv_gpt4.py

@@ -0,0 +1,44 @@
+# filename: fetch_arxiv_gpt4.py
+import urllib.request
+import urllib.parse
+import xml.etree.ElementTree as ET
+
+def search_arxiv(query):
+    url = 'http://export.arxiv.org/api/query?'
+    params = {
+        'search_query': query,
+        'start': 0,
+        'max_results': 5,
+        'sortBy': 'submittedDate',
+        'sortOrder': 'descending'
+    }
+    query_string = urllib.parse.urlencode(params)
+    url += query_string
+    with urllib.request.urlopen(url) as response:
+        response_text = response.read()
+    return response_text
+
+def parse_response(response):
+    root = ET.fromstring(response)
+    papers = []
+    for entry in root.findall('{http://www.w3.org/2005/Atom}entry'):
+        title = entry.find('{http://www.w3.org/2005/Atom}title').text
+        published = entry.find('{http://www.w3.org/2005/Atom}published').text
+        summary = entry.find('{http://www.w3.org/2005/Atom}summary').text
+        papers.append({'title': title, 'published': published, 'summary': summary})
+    return papers
+
+def main():
+    query = 'all:"GPT-4"'
+    response = search_arxiv(query)
+    papers = parse_response(response)
+    if papers:
+        print("Most Recent Paper on GPT-4:")
+        print("Title:", papers[0]['title'])
+        print("Published Date:", papers[0]['published'])
+        print("Summary:", papers[0]['summary'])
+    else:
+        print("No papers found.")
+
+if __name__ == '__main__':
+    main()

examples/data/groupchat/fetch_latest_gpt4_paper.py

@@ -0,0 +1,44 @@
+# filename: fetch_latest_gpt4_paper.py
+import requests
+from datetime import datetime
+
+def fetch_latest_paper():
+    # Define the API endpoint
+    url = "http://export.arxiv.org/api/query"
+
+    # Set the search parameters to find papers related to GPT-4
+    params = {
+        "search_query": "all:GPT-4",
+        "sortBy": "submittedDate",
+        "sortOrder": "descending",
+        "max_results": 1
+    }
+
+    # Send a GET request to the API
+    response = requests.get(url, params=params)
+
+    if response.status_code == 200:
+        # Parse the response XML
+        from xml.etree import ElementTree as ET
+        root = ET.fromstring(response.content)
+
+        # Navigate to the entry element
+        entry = root.find('{http://www.w3.org/2005/Atom}entry')
+        if entry is not None:
+            # Extract title and summary (abstract)
+            title = entry.find('{http://www.w3.org/2005/Atom}title').text
+            summary = entry.find('{http://www.w3.org/2005/Atom}summary').text
+            published_date = entry.find('{http://www.w3.org/2005/Atom}published').text
+
+            # Convert published date to a readable format
+            published_datetime = datetime.strptime(published_date, '%Y-%m-%dT%H:%M:%SZ')
+
+            print("Title:", title)
+            print("Published Date:", published_datetime.strftime('%Y-%m-%d'))
+            print("Abstract:", summary.strip())
+        else:
+            print("No GPT-4 papers found.")
+    else:
+        print("Failed to fetch data from arXiv. Status code:", response.status_code)
+
+fetch_latest_paper()

examples/data/research_agent_storage/graph_store.json

@@ -0,0 +1 @@
+{"graph_dict": {}}

examples/data/research_agent_storage/image__vector_store.json

@@ -0,0 +1 @@
+{"embedding_dict": {}, "text_id_to_ref_doc_id": {}, "metadata_dict": {}}

examples/data/research_agent_storage/index_store.json

@@ -0,0 +1 @@
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