From 69c6e985aee4fc2a74e6da6d1e8fe14ce6dcad6c Mon Sep 17 00:00:00 2001
From: Chris Steege <56660047+steegecs@users.noreply.github.com>
Date: Thu, 23 May 2024 12:20:36 -0400
Subject: [PATCH] [DAT-2798]; Add script to produce decentralized network
 deployment csv (#2552)

---
 .../produce_decentralized_network_csv.py      | 38 +++++++++++++++++++
 1 file changed, 38 insertions(+)
 create mode 100644 deployment/produce_decentralized_network_csv.py

diff --git a/deployment/produce_decentralized_network_csv.py b/deployment/produce_decentralized_network_csv.py
new file mode 100644
index 0000000000..cdb9a0ff9c
--- /dev/null
+++ b/deployment/produce_decentralized_network_csv.py
@@ -0,0 +1,38 @@
+import json
+import pandas as pd
+
+
+def extract_deployment_info(data):
+    rows = []
+    for project_name, project_data in data.items():
+        schema = project_data.get("schema", "N/A")
+        deployments = project_data.get("deployments", {})
+        for deployment_name, deployment_data in deployments.items():
+            if "decentralized-network" in deployment_data["services"]:
+                decentralized_network = deployment_data["services"]["decentralized-network"]
+                row = {
+                    "deployment name": deployment_name,
+                    "protocol type": schema,
+                    "network": deployment_data["network"],
+                    "status": deployment_data["status"],
+                    "slug": decentralized_network["slug"],
+                    "query-id": decentralized_network["query-id"]
+                }
+                rows.append(row)
+    return rows
+
+with open('deployment.json', 'r') as file:
+    general_data = json.load(file)
+    
+# Extract information
+rows = extract_deployment_info(general_data)
+
+# Create DataFrame
+df_general = pd.DataFrame(rows)
+
+## order by protocol type and deployment name
+df_general = df_general.sort_values(by=["protocol type", "deployment name"])
+
+# Save to CSV
+csv_file_path_general = "decentralized_network_deployments.csv"
+df_general.to_csv(csv_file_path_general, index=False)