mirror of
https://github.com/Significant-Gravitas/AutoGPT-Code-Ability.git
synced 2026-11-11 00:21:27 -10:00
Zamil Majdyandmajdyz
2eb25f909d
This is a very early prototype of the front-end code generation. The current implementation is still super basic, but the idea is to evaluate early if this is possible. The hypothesis is if we can build a small fully working UI component, we can utilize more sophisticated agentic prompting. I created a video of the quick run-through of the code and how to test it https://www.loom.com/share/b331582fa2694ece8594c00ae78c71e5?sid=59b6baa6-ca9b-4f46-bb7e-76a82b1fce98 These are the possible next steps: https://www.notion.so/auto-gpt/Front-end-Codex-Plan-abf6c1d990104d23b758960cbaea26f9 --------- Co-authored-by: majdyz <[email protected]>
234 lines
8.5 KiB
Python
234 lines
8.5 KiB
Python
import ast
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import re
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from codex.common.model import (
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PYTHON_TYPES,
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FunctionDef,
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ObjectFieldModel,
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ObjectTypeModel,
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)
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from codex.develop.function import normalize_type
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class FunctionVisitor(ast.NodeVisitor):
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"""
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Visits a Python AST and extracts function definitions and Pydantic class definitions
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To use this class, create an instance and call the visit method with the AST as the argument.
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The extracted function definitions and Pydantic class definitions
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can be accessed from the functions and objects attributes respectively.
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Example:
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```
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visitor = FunctionVisitor()
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visitor.visit(ast.parse("def foo(x: int) -> int: return x"))
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print(visitor.functions)
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```
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"""
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def __init__(self):
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self.functions: list[FunctionDef] = []
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self.functionsIdx: list[int] = []
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self.objects: list[ObjectTypeModel] = []
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self.objectsIdx: list[int] = []
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self.globals: list[str] = []
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self.globalsIdx: list[int] = []
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self.imports: list[str] = []
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self.errors: list[str] = []
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def visit_Import(self, node):
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for alias in node.names:
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import_line = f"import {alias.name}"
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if alias.asname:
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import_line += f" as {alias.asname}"
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self.imports.append(import_line)
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self.generic_visit(node)
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def visit_ImportFrom(self, node):
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for alias in node.names:
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import_line = f"from {node.module} import {alias.name}"
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if alias.asname:
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import_line += f" as {alias.asname}"
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self.imports.append(import_line)
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self.generic_visit(node)
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def visit_AsyncFunctionDef(self, node: ast.AsyncFunctionDef):
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# treat async functions as normal functions
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self.visit_FunctionDef(node) # type: ignore
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def visit_FunctionDef(self, node: ast.FunctionDef) -> None:
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args = []
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for arg in node.args.args:
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arg_type = ast.unparse(arg.annotation) if arg.annotation else "object"
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args.append((arg.arg, normalize_type(arg_type)))
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return_type = (
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normalize_type(ast.unparse(node.returns)) if node.returns else None
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)
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# Extract doc_string & function body
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if (
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node.body
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and isinstance(node.body[0], ast.Expr)
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and isinstance(node.body[0].value, ast.Constant)
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):
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doc_string = node.body[0].value.s.strip()
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template_body = [node.body[0], ast.Pass()]
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is_implemented = not isinstance(node.body[1], ast.Pass)
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else:
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doc_string = ""
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template_body = [ast.Pass()]
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is_implemented = not isinstance(node.body[0], ast.Pass)
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# Construct function template
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original_body = node.body.copy()
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node.body = template_body # type: ignore
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function_template = ast.unparse(node)
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node.body = original_body
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function_code = ast.unparse(node)
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if "await" in function_code and "async def" not in function_code:
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function_code = function_code.replace("def ", "async def ")
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function_template = function_template.replace("def ", "async def ")
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def split_doc(keywords: list[str], doc: str) -> tuple[str, str]:
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for keyword in keywords:
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if match := re.search(f"{keyword}\\s?:", doc):
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return doc[: match.start()], doc[match.end() :]
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return doc, ""
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# Decompose doc_pattern into func_doc, args_doc, rets_doc, errs_doc, usage_doc by splitting in reverse order
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func_doc = doc_string
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func_doc, usage_doc = split_doc(
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["Ex", "Usage", "Usages", "Example", "Examples"], func_doc
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)
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func_doc, errs_doc = split_doc(["Error", "Errors", "Raise", "Raises"], func_doc)
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func_doc, rets_doc = split_doc(["Return", "Returns"], func_doc)
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func_doc, args_doc = split_doc(
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["Arg", "Args", "Argument", "Arguments"], func_doc
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)
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# Extract Func
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function_desc = func_doc.strip()
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# Extract Args
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args_descs = {}
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split_pattern = r"\n(\s+.+):"
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for match in reversed(list(re.finditer(split_pattern, string=args_doc))):
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arg = match.group(1).strip().split(" ")[0]
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desc = args_doc.rsplit(match.group(1), 1)[1].strip(": ")
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args_descs[arg] = desc.strip()
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args_doc = args_doc[: match.start()]
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# Extract Returns
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return_desc = ""
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if match := re.match(split_pattern, string=rets_doc):
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return_desc = rets_doc[match.end() :].strip()
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self.functions.append(
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FunctionDef(
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name=node.name,
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arg_types=args,
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arg_descs=args_descs,
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return_type=return_type,
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return_desc=return_desc,
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is_implemented=is_implemented,
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function_desc=function_desc,
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function_template=function_template,
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function_code=function_code,
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)
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)
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self.functionsIdx.append(node.lineno)
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def visit_ClassDef(self, node: ast.ClassDef) -> None:
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"""
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Visits a ClassDef node in the AST and checks if it is a Pydantic class.
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If it is a Pydantic class, adds its name to the list of Pydantic classes.
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"""
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is_pydantic = any(
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[
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(isinstance(base, ast.Name) and base.id == "BaseModel")
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or (isinstance(base, ast.Attribute) and base.attr == "BaseModel")
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for base in node.bases
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]
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)
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is_enum = any(
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[
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(isinstance(base, ast.Name) and base.id.endswith("Enum"))
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or (isinstance(base, ast.Attribute) and base.attr.endswith("Enum"))
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for base in node.bases
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]
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)
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is_implemented = not any(isinstance(v, ast.Pass) for v in node.body)
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doc_string = ""
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if (
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node.body
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and isinstance(node.body[0], ast.Expr)
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and isinstance(node.body[0].value, ast.Constant)
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):
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doc_string = node.body[0].value.s.strip()
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if node.name in PYTHON_TYPES:
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self.errors.append(
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f"Can't declare class with a Python built-in name "
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f"`{node.name}`. Please use a different name."
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)
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fields = []
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methods = []
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for v in node.body:
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if isinstance(v, ast.AnnAssign):
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field = ObjectFieldModel(
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name=ast.unparse(v.target),
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type=normalize_type(ast.unparse(v.annotation)),
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value=ast.unparse(v.value) if v.value else None,
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)
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if field.value is None and field.type.startswith("Optional"):
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field.value = "None"
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elif isinstance(v, ast.Assign):
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if len(v.targets) > 1:
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self.errors.append(
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f"Class {node.name} has multiple assignments in a single line."
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)
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field = ObjectFieldModel(
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name=ast.unparse(v.targets[0]),
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type=type(ast.unparse(v.value)).__name__,
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value=ast.unparse(v.value) if v.value else None,
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)
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elif isinstance(v, ast.Expr) and isinstance(v.value, ast.Constant):
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# skip comments and docstrings
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continue
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else:
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methods.append(ast.unparse(v))
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continue
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fields.append(field)
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self.objects.append(
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ObjectTypeModel(
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name=node.name,
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code="\n".join(methods),
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description=doc_string,
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Fields=fields,
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is_pydantic=is_pydantic,
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is_enum=is_enum,
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is_implemented=is_implemented,
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)
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)
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self.objectsIdx.append(node.lineno)
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"""Some class are simply used as a type and doesn't have any new fields"""
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# if not is_implemented:
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# raise ValidationError(
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# f"Class {node.name} is not implemented. "
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# f"Please complete the implementation of this class!"
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# )
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def visit(self, node):
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if (
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isinstance(node, ast.Assign)
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or isinstance(node, ast.AnnAssign)
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or isinstance(node, ast.AugAssign)
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) and node.col_offset == 0:
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self.globals.append(ast.unparse(node))
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self.globalsIdx.append(node.lineno)
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super().visit(node)
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