add a tool for me to see how many installations are happening by scanning for accesses to bootstrap.sh

tools/parse-nginx-log-bootstrap-accesses.py

@@ -0,0 +1,56 @@
+#!/usr/bin/python3
+#
+# This is a tool Josh uses on his box serving mailinabox.email to parse the nginx
+# access log to see how many people are installing Mail-in-a-Box each day, by
+# looking at accesses to the bootstrap.sh script.
+
+import re, glob, gzip, os.path, json
+import dateutil.parser
+
+outfn = "/home/user-data/www/mailinabox.email/install-stats.json"
+
+# Make a unique list of (date, ip address) pairs so we don't double-count
+# accesses that are for the same install.
+accesses = set()
+
+# Scan the current and rotated access logs.
+for fn in glob.glob("/var/log/nginx/access.log*"):
+	# Gunzip if necessary.
+	if fn.endswith(".gz"):
+		f = gzip.open(fn)
+	else:
+		f = open(fn, "rb")
+
+	# Loop through the lines in the access log.
+	with f:
+		for line in f:
+			# Find lines that are GETs on /bootstrap.sh by either curl or wget.
+			m = re.match(rb"(?P<ip>\S+) - - \[(?P<date>.*?)\] \"GET /bootstrap.sh HTTP/.*\" 200 \d+ .* \"(?:curl|wget)", line, re.I)
+			if m:
+				date, time = m.group("date").decode("ascii").split(":", 1)
+				date = dateutil.parser.parse(date).date().isoformat()
+				ip = m.group("ip").decode("ascii")
+				accesses.add( (date, ip) )
+
+# Aggregate by date.
+by_date = { }
+for date, ip in accesses:
+	by_date[date] = by_date.get(date, 0) + 1
+
+# Since logs are rotated, store the statistics permanently in a JSON file.
+# Load in the stats from an existing file.
+if os.path.exists(outfn):
+	existing_data = json.load(open(outfn))
+	for date, count in existing_data:
+		if date not in by_date:
+			by_date[date] = count
+
+# Turn into a list rather than a dict structure to make it ordered.
+by_date = sorted(by_date.items())
+
+# Pop the last one because today's stats are incomplete.
+by_date.pop(-1)
+
+# Write out.
+with open(outfn, "w") as f:
+	json.dump(by_date, f, sort_keys=True, indent=True)