blob: 38026d5ee3bc82baab70a4cd6021711c40acedff [file] [log] [blame]
import test_appliance
from yaml.reader import *
from yaml.tokens import *
from yaml.scanner import *
class TestTokens(test_appliance.TestAppliance):
# Tokens mnemonic:
# directive: %
# document_start: ---
# document_end: ...
# alias: *
# anchor: &
# tag: !
# scalar _
# block_sequence_start: [[
# block_mapping_start: {{
# block_end: ]}
# flow_sequence_start: [
# flow_sequence_end: ]
# flow_mapping_start: {
# flow_mapping_end: }
# entry: ,
# key: ?
# value: :
replaces = {
DirectiveToken: '%',
DocumentStartToken: '---',
DocumentEndToken: '...',
AliasToken: '*',
AnchorToken: '&',
TagToken: '!',
ScalarToken: '_',
BlockSequenceStartToken: '[[',
BlockMappingStartToken: '{{',
BlockEndToken: ']}',
FlowSequenceStartToken: '[',
FlowSequenceEndToken: ']',
FlowMappingStartToken: '{',
FlowMappingEndToken: '}',
BlockEntryToken: ',',
FlowEntryToken: ',',
KeyToken: '?',
ValueToken: ':',
}
def _testTokens(self, test_name, data_filename, tokens_filename):
tokens1 = None
tokens2 = file(tokens_filename, 'rb').read().split()
try:
scanner = Scanner(Reader(file(data_filename, 'rb')))
tokens1 = []
for token in scanner:
if not isinstance(token, (StreamStartToken, StreamEndToken)):
tokens1.append(token)
tokens1 = [self.replaces[t.__class__] for t in tokens1]
self.failUnlessEqual(tokens1, tokens2)
except:
print
print "DATA:"
print file(data_filename, 'rb').read()
print "TOKENS1:", tokens1
print "TOKENS2:", tokens2
raise
TestTokens.add_tests('testTokens', '.data', '.tokens')
class TestScanner(test_appliance.TestAppliance):
def _testScanner(self, test_name, data_filename, canonical_filename):
for filename in [canonical_filename, data_filename]:
tokens = None
try:
scanner = Scanner(Reader(file(filename, 'rb')))
tokens = []
for token in scanner:
if not isinstance(token, (StreamStartToken, StreamEndToken)):
tokens.append(token.__class__.__name__)
except:
print
print "DATA:"
print file(data_filename, 'rb').read()
print "TOKENS:", tokens
raise
TestScanner.add_tests('testScanner', '.data', '.canonical')