local printout of unknown NWSLIs against csv table

scripts/dbutil/xcheck_nwsli_csv.py

@@ -0,0 +1,40 @@
+"""See if we have metadata in a local CSV file"""
+from __future__ import print_function
+
+import requests
+import psycopg2
+from pyiem.reference import nwsli2country, nwsli2state
+import pandas as pd
+
+
+def dowork(df, nwsli):
+    """do work!"""
+    if nwsli not in df['NWSLI'].values:
+        # print("Missing %s" % (nwsli, ))
+        return
+    row = df[df['NWSLI'] == nwsli].iloc[0]
+    print("------")
+    print(row['NWSLI'])
+    print("%s %s%s - %s" % (row['City'], row['Mileage'], row['Direction'],
+                            row['Station Name']))
+    print(row['State'])
+    print(row['Program Acronym'])
+    print(row['Latitude'])
+    print(row['Longitude'])
+
+
+def main():
+    """Go Main Go!"""
+    pgconn = psycopg2.connect(database='hads', host='localhost', port=5556,
+                              user='nobody')
+    cursor = pgconn.cursor()
+    cursor.execute("""
+        SELECT distinct nwsli from unknown ORDER by nwsli
+    """)
+    df = pd.read_csv('/tmp/nwsli_database.csv', low_memory=False)
+    for row in cursor:
+        dowork(df, row[0])
+
+
+if __name__ == '__main__':
+    main()