Add more utility scripts to identify and ping incomplete checkouts

scripts/filter_incomplete_sessions.sh

@@ -0,0 +1,16 @@
+if [[ -z "$1" ]]; then
+    echo "Usage: $0 <path_to_json_file>"
+    echo "Description: This script outputs checkout sessions from the JSON where the invoice is not null and completed is false."
+    exit 1
+fi
+
+if [[ ! -f "$1" ]]; then
+    echo "Error: File does not exist."
+    echo "Usage: $0 <path_to_json_file>"
+    exit 1
+fi
+
+jq '.checkout_sessions |
+    to_entries |
+    map(select(.value.invoice != null and .value.completed == false)) |
+    from_entries' "$1"

scripts/ping_checkouts.sh

@@ -0,0 +1,40 @@
+#!/bin/bash
+
+# Check if exactly one argument is given (the filename)
+if [ "$#" -ne 1 ]; then
+    echo "Usage: $0 <filename of text file containing checkout session UUIDs separated by newlines>"
+    echo "Description: This script pings the Damus API to check the status of each checkout session UUID in the file."
+    exit 1
+fi
+
+# Assign the first command-line argument to FILE
+FILE=$1
+
+# Check if file exists
+if [ ! -f "$FILE" ]; then
+    echo "Error: File does not exist."
+    exit 1
+fi
+
+# Loop through each line in the file
+while IFS= read -r uuid
+do
+    # URL where UUID is passed as part of the path
+    URL="https://api.damus.io/ln-checkout/${uuid}/check-invoice"
+
+    # Make the CURL call and capture the HTTP response code
+    RESPONSE=$(curl -s -o response.txt -w "%{http_code}" -X POST "$URL")
+
+    # Read server response from the file
+    SERVER_RESPONSE=$(<response.txt)
+
+    # Print UUID and corresponding HTTP response code and server response
+    echo "UUID: $uuid"
+    echo "HTTP Response Code: $RESPONSE"
+    echo "Server Response: $SERVER_RESPONSE"
+    echo  # new line for better readability between entries
+
+done < "$FILE"
+
+# Clean up the temporary file
+rm response.txt

shell.nix

@@ -1,5 +1,5 @@
 { pkgs ? import <nixpkgs> {} }:
 with pkgs;
 mkShell {
-  buildInputs = [ node2nix ] ++ (with python3Packages; [ pandas matplotlib plotly ]);
+  buildInputs = [ node2nix jq ] ++ (with python3Packages; [ pandas matplotlib plotly ]);
 }