Generator log parsing script.

scripts/import_points.py

@@ -0,0 +1,54 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+import psycopg2
+import os, argparse
+
+def parse_double_points(line):
+    if "Double" in line:
+        words = line.split()
+        lat = words[9].split("(")[1][:-1]
+        lon = words[10].split(")")[0]
+        return float(lat), float(lon), 1
+
+def parse_unknown_outgoing(line):
+    if "Unknowing" in line:
+        words = line.split()
+        lat = words[9]
+        lon = words[10]
+        return float(lat), float(lon), 2
+
+filters = (parse_double_points, parse_unknown_outgoing)
+
+parser = argparse.ArgumentParser(description='Extract borders warning points from generator log files to databse.')
+parser.add_argument('-s', '--source', help='Generator log file path.')
+parser.add_argument('-c', '--connection', help='Database connection string.')
+parser.add_argument('-v', dest='verbose', action='store_true', help='Print status messages')
+options = parser.parse_args()
+
+# Check log file for existance.
+if not os.path.exists(options.source):
+    print "Generator log file", options.source, "does not exists."
+    exit(1)
+
+# Process the log.
+points = []
+with open(options.source) as logfile:
+    for line in logfile.readlines():
+        for f in filters:
+            result = f(line)
+            if result:
+                points.append(result)
+                break
+
+# Print stats.
+print "Found {} points".format(len(points))
+print "There are {} points with no external mwm, and {} points if features that have many border intersections". format(
+        len([a for a in points if a[2] == 2]), len([a for a in points if a[2] == 1])
+        )
+
+# Commit to the database
+conn = psycopg2.connect(options.connection)
+cursor = conn.cursor()
+cursor.execute("INSERT into points (geom, type) VALUES {}".format(",".
+    join(["(ST_GeomFromText('POINT({} {})', 4326), {})".format(*p) for p in points])))
+conn.commit()