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test: add decodepsbt and analyzepsbt tests for blinding proofs
This commit is contained in:
Andrew Poelstra
parent
03b835c887
commit
d1a1d19113
1 changed files with 84 additions and 0 deletions
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@ -716,6 +716,87 @@ class PSBTTest(BitcoinTestFramework):
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self.nodes[0].generate(1)
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self.sync_all()
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def pset_confidential_proofs(self):
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BLINDED = "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"
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NO_VALUE_PROOF = "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"
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BAD_VALUE_PROOF = "cHNldP8BAgQCAAAAAQMEAAAAAAEEAQEBBQECAfsEAgAAAAABAP1UAQIAAAAAASopobdl5W15RSedscp/8bxEXKuKIMOZw+JTqgD8qJEKBAAAAAD9////Awrye7Xu4kI5VnpTDeGaq8sYdXP3qdzYaHrLDRzaC8y51ggl1U8hJxSo+8GcTzHv926wsqTTkOrdBnJo8qcLwLQauQKktt71EJU7HTH5HsgG4kJV/tC32F992/WgieIPRkUkmxYAFPrs/iioimRS5hoJKl/hua83d7rwC1uuuLvfuQh38wHS+0Vg2ecXzypsUabYofOFaGSrICByCKvjgTF6TdHNp2el7Cwi+94dy4qMDrEh/25Aqnc+5qABAqWPEY9ZNCz7m64pANrr04bVgPxaWCr7LvvWGH5FLzvRFgAU96wAzcLFRah7B8gq17sVY9Uso18BIw9PXUt8b6hFgG7k9ncTRZ4baejmD87i5JQMeg1d4bIBAAAAAAAAKfQAAAAAAAABAXoK8nu17uJCOVZ6Uw3hmqvLGHVz96nc2Gh6yw0c2gvMudYIJdVPIScUqPvBnE8x7/dusLKk05Dq3QZyaPKnC8C0GrkCpLbe9RCVOx0x+R7IBuJCVf7Qt9hffdv1oIniD0ZFJJsWABT67P4oqIpkUuYaCSpf4bmvN3e68CIGA3pgD7iheh1WkyCWvviXQBa9KOJk6JBeYxEpPuxiRBOvEElHIxkAAACAAQAAgAMAAIABDiB25bQww62kp1L1uQVb7MxEVoem8kCzSmM5DW09I9V6DQEPBAAAAAABEAT/////B/wEcHNldA79CwFgAgAHY7+9IRzxAXWemL7C9M7CBAqQoSrXRoxI5/YnMLV6nV/GBMEhmvoDFJcNzRXI/LrIRMLZFvNrP5IupN8OZ+4q+++aJTnuYCZIDR1pssb0JHA0z2UXkEYdHv26qoW26RbLf2LNh29yVIOHG3jqqc7+L7F4UELZmjlEs6R1sulqQ0ePCUUgAsqURkdnNKtl0nORiyLN/9JfqGGTC30WhsdXifWRmqOfkWil0Va1bDYumMU7zJdW/go83ODuZ5VZVWFsBLFSn9HxF1SaFCGt197qo8dr+vhPZwb72k13A72D+5Lx7UKoYqamRJsoAZdUZ/oVd9GRlPbAmRPV7iOxmPYf+t9AQiEd0Z4AIgICuujF5+Lk/uCeX9+RWtJ8ioG51rogGduwt+iY1tZFtjUQSUcjGQAAAIAAAACACwAAgAEEFgAUg+8ATSQ8VvNg+WJAuweXm6kXlFkH/ARwc2V0ASEIBoHxCnQKKMcpdKYCHdu36jzQ0zSc49oGuDQl7Nvus3gBAwgAv3xIGAkAAAf8BHBzZXQDIQsuVWSYT/UkUbq/hYsdWuoo3ARSy5K7e//36h8QhjdKRAf8BHBzZXQCICMPT11LfG+oRYBu5PZ3E0WeG2no5g/O4uSUDHoNXeGyB/wEcHNldAT9CwFgAgAACRhIfL75AJaUOCJ2q+YnbnYTFqluECvtDoJFGcrYvu5VsxPdASJNduFIJRBglnPdW73QRjqt+r3KlxBQ3XUWTce6is6cGED9eySEVJwBXz4Mt8SjqM2GsyUfqC+Ey3+APGgh54MYLt+HHKmt6ibcvE1DDU/UGpVo+I3cY/kgKJzrWMG6y/jDm/CHcF49L8EBtYC7iSrBhwzmDk7DmiViiQFCTUDfIqilX/piqS9ZlO4JNydA5kmLqXkj/xtR2hKt57wknqqvM7/car1S4Do8VljtG9lCzvSOBtBvijSwpFY1KaVFjpj0UZI9XJQ2eEbMrqC0qygNBi1f+ULyZFccNSGpXaZnrZAH/ARwc2V0BUMBAAECnwdoJ4rVnGgLT0He5GaLEhDnGqCKcH0nlTi1T53tBYMI8InonQGT61IAjoLcRxOqzMLgEC3KXg7yW8x6d6VmB/wEcHNldAYhAwxmNPa94Vg9u/nZBWC/8IYTgnp85V5TMOEFWTTAcF2pB/wEcHNldAchAitGVbG/bZNcV2ifjimuh04FOwRlxNrNPva66U6/RiHFB/wEcHNldAgEAAAAAAf8BHBzZXQJSSAAAAkYSHy/AIN6lvAUJ1o6ZQK5i/ewcpqSz4eW8zMzXFO/ZlNvAomxweIBD8YyywTguhBMI0BdLs2VeS5mc5e1oR0R27YAUccH/ARwc2V0CkMBAAGJm91DfvVBUOaEFZ0uH1RbT2cgI9MN9k1lE1hlWc2AtALpMJ17khkivt8F7dgCAVdBvcHFaw138ZsVfiD7g480AAEEAAEDCADh9QUAAAAAB/wEcHNldAIgIw9PXUt8b6hFgG7k9ncTRZ4baejmD87i5JQMeg1d4bIH/ARwc2V0CAQAAAAAAA=="
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NO_ASSET_PROOF = "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"
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BAD_ASSET_PROOF = "cHNldP8BAgQCAAAAAQMEAAAAAAEEAQEBBQECAfsEAgAAAAABAP1UAQIAAAAAASopobdl5W15RSedscp/8bxEXKuKIMOZw+JTqgD8qJEKBAAAAAD9////Awrye7Xu4kI5VnpTDeGaq8sYdXP3qdzYaHrLDRzaC8y51ggl1U8hJxSo+8GcTzHv926wsqTTkOrdBnJo8qcLwLQauQKktt71EJU7HTH5HsgG4kJV/tC32F992/WgieIPRkUkmxYAFPrs/iioimRS5hoJKl/hua83d7rwC1uuuLvfuQh38wHS+0Vg2ecXzypsUabYofOFaGSrICByCKvjgTF6TdHNp2el7Cwi+94dy4qMDrEh/25Aqnc+5qABAqWPEY9ZNCz7m64pANrr04bVgPxaWCr7LvvWGH5FLzvRFgAU96wAzcLFRah7B8gq17sVY9Uso18BIw9PXUt8b6hFgG7k9ncTRZ4baejmD87i5JQMeg1d4bIBAAAAAAAAKfQAAAAAAAABAXoK8nu17uJCOVZ6Uw3hmqvLGHVz96nc2Gh6yw0c2gvMudYIJdVPIScUqPvBnE8x7/dusLKk05Dq3QZyaPKnC8C0GrkCpLbe9RCVOx0x+R7IBuJCVf7Qt9hffdv1oIniD0ZFJJsWABT67P4oqIpkUuYaCSpf4bmvN3e68CIGA3pgD7iheh1WkyCWvviXQBa9KOJk6JBeYxEpPuxiRBOvEElHIxkAAACAAQAAgAMAAIABDiB25bQww62kp1L1uQVb7MxEVoem8kCzSmM5DW09I9V6DQEPBAAAAAABEAT/////B/wEcHNldA79CwFgAgAHY7+9IRzxAXWemL7C9M7CBAqQoSrXRoxI5/YnMLV6nV/GBMEhmvoDFJcNzRXI/LrIRMLZFvNrP5IupN8OZ+4q+++aJTnuYCZIDR1pssb0JHA0z2UXkEYdHv26qoW26RbLf2LNh29yVIOHG3jqqc7+L7F4UELZmjlEs6R1sulqQ0ePCUUgAsqURkdnNKtl0nORiyLN/9JfqGGTC30WhsdXifWRmqOfkWil0Va1bDYumMU7zJdW/go83ODuZ5VZVWFsBLFSn9HxF1SaFCGt197qo8dr+vhPZwb72k13A72D+5Lx7UKoYqamRJsoAZdUZ/oVd9GRlPbAmRPV7iOxmPYf+t9AQiEd0Z4AIgICuujF5+Lk/uCeX9+RWtJ8ioG51rogGduwt+iY1tZFtjUQSUcjGQAAAIAAAACACwAAgAEEFgAUg+8ATSQ8VvNg+WJAuweXm6kXlFkH/ARwc2V0ASEIBoHxCnQKKMcpdKYCHdu36jzQ0zSc49oGuDQl7Nvus3gBAwgAv3xIGAkAAAf8BHBzZXQDIQsuVWSYT/UkUbq/hYsdWuoo3ARSy5K7e//36h8QhjdKRAf8BHBzZXQCICMPT11LfG+oRYBu5PZ3E0WeG2no5g/O4uSUDHoNXeGyB/wEcHNldAT9CwFgAgAACRhIfL75AJaUOCJ2q+YnbnYTFqluECvtDoJFGcrYvu5VsxPdASJNduFIJRBglnPdW73QRjqt+r3KlxBQ3XUWTce6is6cGED9eySEVJwBXz4Mt8SjqM2GsyUfqC+Ey3+APGgh54MYLt+HHKmt6ibcvE1DDU/UGpVo+I3cY/kgKJzrWMG6y/jDm/CHcF49L8EBtYC7iSrBhwzmDk7DmiViiQFCTUDfIqilX/piqS9ZlO4JNydA5kmLqXkj/xtR2hKt57wknqqvM7/car1S4Do8VljtG9lCzvSOBtBvijSwpFY1KaVFjpj0UZI9XJQ2eEbMrqC0qygNBi1f+ULyZFccNSGpXaZnrZAH/ARwc2V0BUMBAAECnwdoJ4rVnGgLT0He5GaLEhDnGqCKcH0nlTi1T53tBYMI8InonQGT61IAjoLcRxOqzMLgEC3KXg7yW8x6d6VmB/wEcHNldAYhAwxmNPa94Vg9u/nZBWC/8IYTgnp85V5TMOEFWTTAcF2pB/wEcHNldAchAitGVbG/bZNcV2ifjimuh04FOwRlxNrNPva66U6/RiHFB/wEcHNldAgEAAAAAAf8BHBzZXQJSSAAAAkYSHy/AIN6lvAUJ1o6ZQK5i/ewcpqRz4eW8zMzXFO/ZlNvAomxweIBD8YyywTguhBMI0BdLs2VeS5mc5e1oR0R27YAUccH/ARwc2V0CkMBAAGJm91DfvVBUOaEFZ0uH1RcT2cgI9MN9k1lE1hlWc2AtALpMJ17khkivt8F7dgCAVdBvcHFaw138ZsVfiD7g480AAEEAAEDCADh9QUAAAAAB/wEcHNldAIgIw9PXUt8b6hFgG7k9ncTRZ4baejmD87i5JQMeg1d4bIH/ARwc2V0CAQAAAAAAA=="
|
||||
ONLY_BLIND = "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"
|
||||
|
||||
## Check warnings for PSETs
|
||||
for output in self.nodes[0].decodepsbt(BLINDED)["outputs"]:
|
||||
assert "status" not in output
|
||||
for output in self.nodes[0].analyzepsbt(BLINDED)["outputs"]:
|
||||
assert_equal (output["status"], "done")
|
||||
|
||||
stats = [output.get("status") for output in self.nodes[0].decodepsbt(NO_VALUE_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
"WARNING: has confidential and explicit values but no proof connecting them",
|
||||
None,
|
||||
])
|
||||
stats = [output for output in self.nodes[0].analyzepsbt(NO_VALUE_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
{"blind": True, "status": "WARNING: has confidential and explicit values but no proof connecting them" },
|
||||
{"blind": False, "status": "done" },
|
||||
])
|
||||
|
||||
stats = [output.get("status") for output in self.nodes[0].decodepsbt(BAD_VALUE_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
"ERROR: has invalid value proof, the value may be a lie!",
|
||||
None,
|
||||
])
|
||||
stats = [output for output in self.nodes[0].analyzepsbt(BAD_VALUE_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
{"blind": True, "status": "ERROR: has invalid value proof, the value may be a lie!" },
|
||||
{"blind": False, "status": "done" },
|
||||
])
|
||||
|
||||
stats = [output.get("status") for output in self.nodes[0].decodepsbt(NO_ASSET_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
"WARNING: has confidential and explicit assets but no proof connecting them",
|
||||
None,
|
||||
])
|
||||
stats = [output for output in self.nodes[0].analyzepsbt(NO_ASSET_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
{"blind": True, "status": "WARNING: has confidential and explicit assets but no proof connecting them" },
|
||||
{"blind": False, "status": "done" },
|
||||
])
|
||||
|
||||
stats = [output.get("status") for output in self.nodes[0].decodepsbt(BAD_ASSET_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
"ERROR: has invalid asset proof, the asset may be a lie!",
|
||||
None,
|
||||
])
|
||||
stats = [output for output in self.nodes[0].analyzepsbt(BAD_ASSET_PROOF)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
{"blind": True, "status": "ERROR: has invalid asset proof, the asset may be a lie!" },
|
||||
{"blind": False, "status": "done" },
|
||||
])
|
||||
|
||||
stats = [output.get("status") for output in self.nodes[0].decodepsbt(ONLY_BLIND)["outputs"]]
|
||||
assert_equal(stats, [None, None])
|
||||
stats = [output for output in self.nodes[0].analyzepsbt(ONLY_BLIND)["outputs"]]
|
||||
assert_equal(stats, [
|
||||
{"blind": True, "status": "done" },
|
||||
{"blind": False, "status": "done" },
|
||||
])
|
||||
|
||||
# Check that we can combine these in any combination, as they all have explicit data
|
||||
assert_equal (self.nodes[0].combinepsbt([BLINDED, BLINDED]), BLINDED)
|
||||
for pset1 in [ BLINDED, NO_VALUE_PROOF, BAD_VALUE_PROOF, NO_ASSET_PROOF, BAD_ASSET_PROOF ]:
|
||||
for pset2 in [ BLINDED, NO_VALUE_PROOF, BAD_VALUE_PROOF, NO_ASSET_PROOF, BAD_ASSET_PROOF ]:
|
||||
combo = self.nodes[0].combinepsbt([pset1, pset2])
|
||||
if combo != pset1:
|
||||
assert_equal (combo, BLINDED)
|
||||
|
||||
# On the other hand, none of these can be combined with the "only confidential, no
|
||||
# explicit values" version
|
||||
assert_equal (self.nodes[0].combinepsbt([ONLY_BLIND, ONLY_BLIND]), ONLY_BLIND)
|
||||
for pset in [ BLINDED, NO_VALUE_PROOF, BAD_VALUE_PROOF, NO_ASSET_PROOF, BAD_ASSET_PROOF ]:
|
||||
assert_raises_rpc_error(-8, "PSBTs not compatible (different transactions)", self.nodes[0].combinepsbt, [pset, ONLY_BLIND])
|
||||
assert_raises_rpc_error(-8, "PSBTs not compatible (different transactions)", self.nodes[0].combinepsbt, [ONLY_BLIND, pset])
|
||||
|
||||
def run_test(self):
|
||||
self.nodes[0].generate(200)
|
||||
self.sync_all()
|
||||
|
|
@ -876,5 +957,8 @@ class PSBTTest(BitcoinTestFramework):
|
|||
|
||||
assert_raises_rpc_error(-25, 'Inputs missing or spent', self.nodes[0].walletprocesspsbt, "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")
|
||||
|
||||
self.log.info("Try decoding and combining transactions in various states of blindedness")
|
||||
self.pset_confidential_proofs()
|
||||
|
||||
if __name__ == '__main__':
|
||||
PSBTTest().main()
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue