def test_inputs(self):
# used as a final assertion on the number of results and errors
results_list = []
error_list = []
try:
with open(txintests_local) as f:
testlist = json.load(f)
print("Got script tests from %s; will not download." %
(txintests_local, ))
except IOError:
print("Couldn't get script tests from %s; downloading from %s..." %
(txintests_local, txintests_url))
testlist = requests.get(txintests_url).json()
print("Starting %d tests on SLP's input validation" % len(testlist))
for test in testlist:
description = test['description']
given_validity = {}
txes = {}
for d in test['when']:
tx = Transaction(d['tx'])
txid = tx.txid()
txes[txid] = tx
if d['valid'] is True:
given_validity[txid] = 1
elif d['valid'] is False:
given_validity[txid] = 2
else:
raise ValueError(d['valid'])
for d in test['should']:
tx = Transaction(d['tx'])
txid = tx.txid()
txes[txid] = tx
d['txid'] = txid
graph_context, graph_context_nft1 = slp_validator_0x01.GraphContext(
), slp_validator_0x01_nft1.GraphContext_NFT1()
for i, d in enumerate(test['should']):
txid = d['txid']
with self.subTest(description=description, i=i):
try:
slp_msg = slp.SlpMessage.parseSlpOutputScript(
txes[txid].outputs()[0][1])
if slp_msg.token_type == 1:
graph, job_mgr = graph_context.setup_job(
txes[txid], reset=True)
elif slp_msg.token_type == 65 or slp_msg.token_type == 129:
graph, job_mgr = graph_context_nft1.setup_job(
txes[txid], reset=True)
else:
raise slp.SlpUnsupportedSlpTokenType(
slp_msg.token_type)
except slp.SlpInvalidOutputMessage: # If output 0 is not OP_RETURN
self.assertEqual(d['valid'], False)
continue
except slp.SlpUnsupportedSlpTokenType:
self.assertEqual(d['valid'], False)
continue
def fetch_hook(txids, job):
l = []
for txid in txids:
try:
l.append(txes[txid])
except KeyError:
pass
### Would call proxy here
return l
if slp_msg.token_type == 1:
job = slp_validator_0x01.ValidationJob(
graph,
txid,
None,
fetch_hook=fetch_hook,
validitycache=given_validity)
elif slp_msg.token_type == 65:
network = MockNetwork(txes)
storage = WalletStorage(os.path.curdir,
manual_upgrades=True,
in_memory_only=True)
wallet = Slp_ImportedAddressWallet(storage)
wallet.slp_graph_0x01_nft = graph_context_nft1
job = slp_validator_0x01_nft1.ValidationJobNFT1Child(
graph,
txid,
network,
fetch_hook=fetch_hook,
validitycache=given_validity,
ref=wallet)
elif slp_msg.token_type == 129:
job = slp_validator_0x01_nft1.ValidationJob(
graph,
txid,
None,
fetch_hook=fetch_hook,
validitycache=given_validity)
q = Queue()
job.add_callback(q.put)
job_mgr.add_job(job)
while True:
try:
q.get(timeout=1)
except Empty:
err = RuntimeError(
"Timeout during validation unit test")
error_list.append(err)
raise err
if not job.paused and not job.running: # and job.stop_reason != 'inconclusive':
n = next(iter(job.nodes.values()))
results_list.append(n.validity)
if d['valid'] is True:
self.assertEqual(n.validity, 1)
elif d['valid'] is False:
if test.get(
'allow_inconclusive', False
): # "allow_inconclusive" allows for ending with an "unvalidated" state for harder corner-cases
self.assertIn(n.validity, (0, 2, 3, 4))
else:
self.assertIn(n.validity, (2, 3, 4))
else:
err = ValueError(d['valid'])
error_list.append(err)
raise err
break
else:
if len(job.callbacks) > 1:
err = Exception(
"shouldn't have more than 1 callback")
error_list.append(err)
raise err
job.callbacks.clear()
job.add_callback(q.put, allow_run_cb_now=False)
self.assertEqual(len(results_list), 59)
self.assertEqual(len(error_list), 0)
def test_inputs(self):
try:
with open(txintests_local) as f:
testlist = json.load(f)
print("Got script tests from %s; will not download." %
(txintests_local, ))
except IOError:
print("Couldn't get script tests from %s; downloading from %s..." %
(txintests_local, txintests_url))
testlist = requests.get(txintests_url).json()
print("Starting %d tests on SLP's input validation" % len(testlist))
for test in testlist:
description = test['description']
given_validity = {}
#should_validity = {}
txes = {}
for d in test['when']:
tx = Transaction(d['tx'])
txid = tx.txid()
txes[txid] = tx
if d['valid'] is True:
given_validity[txid] = 1
elif d['valid'] is False:
given_validity[txid] = 2
else:
raise ValueError(d['valid'])
for d in test['should']:
tx = Transaction(d['tx'])
txid = tx.txid()
txes[txid] = tx
d['txid'] = txid
#if d['valid'] is True:
#should_validity[txid] = 1
#elif d['valid'] is False:
#should_validity[txid] = 2
#else:
#raise ValueError(d['valid'])
graph_context, graph_context_nft1 = slp_validator_0x01.GraphContext(
), slp_validator_0x01_nft1.GraphContext_NFT1()
for i, d in enumerate(test['should']):
txid = d['txid']
with self.subTest(description=description, i=i):
try:
slp_msg = slp.SlpMessage.parseSlpOutputScript(
txes[txid].outputs()[0][1])
if slp_msg.token_type == 1:
graph, job_mgr = graph_context.setup_job(
txes[txid], reset=True)
elif slp_msg.token_type == 65 or slp_msg.token_type == 129:
graph, job_mgr = graph_context_nft1.setup_job(
txes[txid], reset=True)
else:
raise slp.SlpUnsupportedSlpTokenType(
slp_msg.token_type)
except slp.SlpInvalidOutputMessage: # If output 0 is not OP_RETURN
self.assertEqual(d['valid'], False)
continue
except slp.SlpUnsupportedSlpTokenType:
self.assertEqual(d['valid'], False)
continue
def fetch_hook(txids, job):
l = []
for txid in txids:
try:
l.append(txes[txid])
except KeyError:
#raise Exception('KEY ERROR ' + txid)
pass
### Call proxy here!
return l
if slp_msg.token_type == 1:
job = slp_validator_0x01.ValidationJob(
graph,
txid,
None,
fetch_hook=fetch_hook,
validitycache=given_validity)
elif slp_msg.token_type == 65:
network = MockNetwork(txes)
storage = WalletStorage(os.path.curdir,
manual_upgrades=True,
in_memory_only=True)
wallet = Slp_ImportedAddressWallet(storage)
wallet.slp_graph_0x01_nft = graph_context_nft1
#raise Exception(txid)
job = slp_validator_0x01_nft1.ValidationJobNFT1Child(
graph,
txid,
network,
fetch_hook=fetch_hook,
validitycache=None,
ref=wallet)
elif slp_msg.token_type == 129:
job = slp_validator_0x01_nft1.ValidationJob(
graph,
txid,
None,
fetch_hook=fetch_hook,
validitycache=given_validity)
#if txid == '8a08b78ae434de0b1a26e56ae7e78bb11b20f8240eb3d97371fd46a609df7fc3':
#graph.debugging = True
#job.debugging_graph_state = True
q = Queue()
job.add_callback(q.put)
job_mgr.add_job(job)
while True:
try:
q.get(timeout=3) # unlimited timeout
except Empty:
raise RuntimeError(
"Timeout during validation unit test")
# if isinstance(job, ValidationJobNFT1Child) and not job.paused:# and job.stop_reason != 'inconclusive':
# raise Exception(job.stop_reason)
if not job.paused and not job.running: # and job.stop_reason != 'inconclusive':
n = next(iter(job.nodes.values()))
if d['valid'] is True:
self.assertEqual(n.validity, 1)
elif d['valid'] is False:
if test.get(
'allow_inconclusive', False
): # "allow_inconclusive" allows for ending with an "unvalidated" state for harder corner-cases
self.assertIn(n.validity, (0, 2, 3, 4))
else:
self.assertIn(n.validity, (2, 3, 4))
else:
raise ValueError(d['valid'])
break
else:
if len(job.callbacks) > 1:
raise Exception(
"shouldn't have more than 1 callback")
job.callbacks.clear()
job.add_callback(q.put, allow_run_cb_now=False)
