Create Workgroup Analysis script

Author: stephen-rowan

Data Analysis/count_unique_workgroups.py

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+import json
+import requests
+from datetime import datetime
+from collections import Counter
+
+def load_json_remote(url):
+    """Load JSON data from a remote URL."""
+    response = requests.get(url)
+    response.raise_for_status()
+    return response.json()
+
+def find_workgroups(obj, workgroup_keys=("workgroup", "workgroups")):
+    """
+    Recursively search for all workgroup names in a JSON object.
+    Returns a list of strings (workgroup names).
+    """
+    found = []
+
+    if isinstance(obj, dict):
+        for key, value in obj.items():
+            # Match case-insensitively
+            if key.lower() in workgroup_keys:
+                if isinstance(value, str):
+                    found.append(value.strip())
+                elif isinstance(value, list):
+                    for v in value:
+                        if isinstance(v, str):
+                            found.append(v.strip())
+            else:
+                found.extend(find_workgroups(value, workgroup_keys))
+
+    elif isinstance(obj, list):
+        for item in obj:
+            found.extend(find_workgroups(item, workgroup_keys))
+
+    return found
+
+def write_markdown_report(workgroup_counts, output_file):
+    """Write results to a Markdown file."""
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    with open(output_file, "w", encoding="utf-8") as f:
+        f.write(f"# Workgroup Analysis Report\n")
+        f.write(f"**Generated on:** {timestamp}\n\n")
+
+        total_unique = len(workgroup_counts)
+        total_mentions = sum(workgroup_counts.values())
+
+        f.write("## Summary\n")
+        f.write(f"- Total Unique Workgroups: {total_unique}\n")
+        f.write(f"- Total Mentions: {total_mentions}\n\n")
+
+        f.write("## Workgroup Counts\n")
+        f.write("| Rank | Workgroup | Mentions |\n|------|------------|-----------|\n")
+
+        for i, (wg, count) in enumerate(workgroup_counts.most_common(), 1):
+            f.write(f"| {i} | {wg} | {count} |\n")
+
+    print(f"✅ Markdown report saved to: {output_file}")
+
+def main():
+    url = "https://raw.githubusercontent.com/SingularityNET-Archive/SingularityNET-Archive/refs/heads/main/Data/Snet-Ambassador-Program/Meeting-Summaries/2025/meeting-summaries-array.json"
+    output_file = "workgroup_analysis_report.md"
+
+    print("📡 Fetching data from remote source...")
+    data = load_json_remote(url)
+    print(f"✅ Downloaded {len(data)} top-level records.")
+
+    print("🔍 Searching for workgroup mentions...")
+    all_workgroups = find_workgroups(data)
+
+    if not all_workgroups:
+        print("⚠️ No workgroups found in the JSON.")
+        return
+
+    workgroup_counts = Counter(all_workgroups)
+
+    print(f"📊 Found {len(workgroup_counts)} unique workgroups.")
+    for wg, count in workgroup_counts.most_common(10):
+        print(f"- {wg}: {count}")
+
+    write_markdown_report(workgroup_counts, output_file)
+
+if __name__ == "__main__":
+    main()

workgroup_analysis_report.md

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+# Workgroup Analysis Report
+**Generated on:** 2025-10-13 13:00:57
+
+## Summary
+- Total Unique Workgroups: 16
+- Total Mentions: 114
+
+## Workgroup Counts
+| Rank | Workgroup | Mentions |
+|------|------------|-----------|
+| 1 | Governance Workgroup | 47 |
+| 2 | Marketing Guild | 10 |
+| 3 | Archives Workgroup | 9 |
+| 4 | AI Sandbox/Think-tank | 9 |
+| 5 | Education Workgroup | 8 |
+| 6 | AI Ethics WG | 8 |
+| 7 | WG Sync Call | 5 |
+| 8 | Knowledge Base Workgroup | 5 |
+| 9 | Writers Workgroup | 2 |
+| 10 | Research and Development Guild | 2 |
+| 11 | Onboarding Workgroup | 2 |
+| 12 | African Guild | 2 |
+| 13 | Gamers Guild | 2 |
+| 14 | Video Workgroup | 1 |
+| 15 | Treasury Automation WG | 1 |
+| 16 | Strategy Guild | 1 |