Best Python code snippet using unittest-xml-reporting_python
__init__.py
Source:__init__.py
...9import yaml10import rapidjson11from bigchaindb.common.exceptions import SchemaValidationError12logger = logging.getLogger(__name__)13def _load_schema(name, path=__file__):14 """Load a schema from disk"""15 path = os.path.join(os.path.dirname(path), name + '.yaml')16 with open(path) as handle:17 schema = yaml.safe_load(handle)18 fast_schema = rapidjson.Validator(rapidjson.dumps(schema))19 return path, (schema, fast_schema)20TX_SCHEMA_VERSION = 'v2.0'21TX_SCHEMA_PATH, TX_SCHEMA_COMMON = _load_schema('transaction_' +22 TX_SCHEMA_VERSION)23_, TX_SCHEMA_CREATE = _load_schema('transaction_create_' +24 TX_SCHEMA_VERSION)25_, TX_SCHEMA_TRANSFER = _load_schema('transaction_transfer_' +26 TX_SCHEMA_VERSION)27_, TX_SCHEMA_VALIDATOR_ELECTION = _load_schema('transaction_validator_election_' +28 TX_SCHEMA_VERSION)29_, TX_SCHEMA_CHAIN_MIGRATION_ELECTION = _load_schema('transaction_chain_migration_election_' +30 TX_SCHEMA_VERSION)31_, TX_SCHEMA_VOTE = _load_schema('transaction_vote_' + TX_SCHEMA_VERSION)32def _validate_schema(schema, body):33 """Validate data against a schema"""34 # Note35 #36 # Schema validation is currently the major CPU bottleneck of37 # BigchainDB. the `jsonschema` library validates python data structures38 # directly and produces nice error messages, but validation takes 4+ ms39 # per transaction which is pretty slow. The rapidjson library validates40 # much faster at 1.5ms, however it produces _very_ poor error messages.41 # For this reason we use both, rapidjson as an optimistic pathway and42 # jsonschema as a fallback in case there is a failure, so we can produce43 # a helpful error message.44 try:45 schema[1](rapidjson.dumps(body))...
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