Merge from trunk
[plcapi.git] / trunk / PLC / AddressTypes.py
diff --git a/trunk/PLC/AddressTypes.py b/trunk/PLC/AddressTypes.py
new file mode 100644 (file)
index 0000000..dd6afff
--- /dev/null
@@ -0,0 +1,66 @@
+#
+# Functions for interacting with the address_types table in the database
+#
+# Mark Huang <mlhuang@cs.princeton.edu>
+# Copyright (C) 2006 The Trustees of Princeton University
+#
+# $Id$
+#
+
+from types import StringTypes
+from PLC.Faults import *
+from PLC.Parameter import Parameter
+from PLC.Filter import Filter
+from PLC.Table import Row, Table
+
+class AddressType(Row):
+    """
+    Representation of a row in the address_types table. To use,
+    instantiate with a dict of values.
+    """
+
+    table_name = 'address_types'
+    primary_key = 'address_type_id'
+    join_tables = ['address_address_type']
+    fields = {
+        'address_type_id': Parameter(int, "Address type identifier"),
+        'name': Parameter(str, "Address type", max = 20),
+        'description': Parameter(str, "Address type description", max = 254),
+        }
+
+    def validate_name(self, name):
+       # Make sure name is not blank
+        if not len(name):
+            raise PLCInvalidArgument, "Address type must be specified"
+       
+       # Make sure address type does not already exist
+       conflicts = AddressTypes(self.api, [name])
+       for address_type_id in conflicts:
+            if 'address_type_id' not in self or self['address_type_id'] != address_type_id:
+               raise PLCInvalidArgument, "Address type name already in use"
+
+       return name
+
+class AddressTypes(Table):
+    """
+    Representation of the address_types table in the database.
+    """
+
+    def __init__(self, api, address_type_filter = None, columns = None):
+       Table.__init__(self, api, AddressType, columns)
+
+        sql = "SELECT %s FROM address_types WHERE True" % \
+              ", ".join(self.columns)
+
+        if address_type_filter is not None:
+            if isinstance(address_type_filter, (list, tuple, set)):
+                # Separate the list into integers and strings
+                ints = filter(lambda x: isinstance(x, (int, long)), address_type_filter)
+                strs = filter(lambda x: isinstance(x, StringTypes), address_type_filter)
+                address_type_filter = Filter(AddressType.fields, {'address_type_id': ints, 'name': strs})
+                sql += " AND (%s) %s" % address_type_filter.sql(api, "OR")
+            elif isinstance(address_type_filter, dict):
+                address_type_filter = Filter(AddressType.fields, address_type_filter)
+                sql += " AND (%s) %s" % address_type_filter.sql(api, "AND")
+
+        self.selectall(sql)