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Translate Pydantic models into a regular expression that accept the corresponding YAML #923
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I love the idea, yaml uses fewer syntactic tokens and allows language models to generate without needing to keep track of as much "nesting" / context. Here's what I'm thinking for a strategy, would love to hear your thoughts: We should refactor class JSONSchemaRegexGenerator:
def __init__(self):
self.handlers = {
"string": self.handle_string,
"array": self.handle_array,
...
}
@classmethod
def get_pattern(cls, schema):
return cls().handle_node(schema)
def get_pattern(self, node):
handler = self.handlers.get(node["type"], self.handle_default)
return handler(node)
def handle_string(self, node):
return STRING
def handle_array(self, node):
...
return rf"\[{whitespace_pattern}({'|'.join(regexes)})(,{whitespace_pattern}({'|'.join(regexes)})){num_repeats}){allow_empty}{whitespace_pattern}\]"
class YAMLSchemaRegexGenerator(JSONSchemaRegexGenerator):
def handle_array(self, node):
"""handle format for yaml arrays:
- elem0
- elem1
"""
... This would make the code more readable, extensible, reduce technical debt, and make it so we don't have to have conditional handling for a passed |
I can get on board with this. To follow |
No description provided.
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