enhancementhelp wantedrows.tableutils
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Description
Table.fields is currently an OrderedDict, but we can't make some operations off of an OrderedDict, like deserializing an entire row. We must create a class Schema, set it to Table.schema and use it internally whenever possible (like in pgimport and all functions that are currently calling load_schema - they should receive a Schema object instead).
I've created a basic implementation to start:
rows.fields:
from .utils import load_schema
class Schema:
@classmethod
def from_file(cls, filename):
obj = cls()
obj.filename = filename
obj.fields = load_schema(
str(filename)
)
return obj
def deserialize(self, row):
field_names = list(row.keys())
field_mapping = {
old: self.fields[new]
for old, new in zip(field_names, make_header(field_names))
}
return {
key: field_mapping[key].deserialize(value) for key, value in row.items()
}
We may need to check for schema serialization formats, such as datapackage, avro, protocol buffers etc. so we can serialize/deserialize these schema definitions to these formats (and maybe also SQL, at least for serialization, using postgresql and sqlite plugins' code).