Files
AutoGPT/autogpt_platform/backend/backend/blocks/xml_parser.py
Reinier van der Leer 113e87a23c refactor(backend): Reduce circular imports (#12068)
I'm getting circular import issues because there is a lot of
cross-importing between `backend.data`, `backend.blocks`, and other
modules. This change reduces block-related cross-imports and thus risk
of breaking circular imports.

### Changes 🏗️

- Strip down `backend.data.block`
- Move `Block` base class and related class/enum defs to
`backend.blocks._base`
  - Move `is_block_auth_configured` to `backend.blocks._utils`
- Move `get_blocks()`, `get_io_block_ids()` etc. to `backend.blocks`
(`__init__.py`)
  - Update imports everywhere
- Remove unused and poorly typed `Block.create()`
  - Change usages from `block_cls.create()` to `block_cls()`
- Improve typing of `load_all_blocks` and `get_blocks`
- Move cross-import of `backend.api.features.library.model` from
`backend/data/__init__.py` to `backend/data/integrations.py`
- Remove deprecated attribute `NodeModel.webhook`
  - Re-generate OpenAPI spec and fix frontend usage
- Eliminate module-level `backend.blocks` import from `blocks/agent.py`
- Eliminate module-level `backend.data.execution` and
`backend.executor.manager` imports from `blocks/helpers/review.py`
- Replace `BlockInput` with `GraphInput` for graph inputs

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - CI static type-checking + tests should be sufficient for this
2026-02-12 12:07:49 +00:00

80 lines
3.0 KiB
Python

from gravitasml.parser import Parser
from gravitasml.token import Token, tokenize
from backend.blocks._base import Block, BlockOutput, BlockSchemaInput, BlockSchemaOutput
from backend.data.model import SchemaField
class XMLParserBlock(Block):
class Input(BlockSchemaInput):
input_xml: str = SchemaField(description="input xml to be parsed")
class Output(BlockSchemaOutput):
parsed_xml: dict = SchemaField(description="output parsed xml to dict")
error: str = SchemaField(description="Error in parsing")
def __init__(self):
super().__init__(
id="286380af-9529-4b55-8be0-1d7c854abdb5",
description="Parses XML using gravitasml to tokenize and coverts it to dict",
input_schema=XMLParserBlock.Input,
output_schema=XMLParserBlock.Output,
test_input={"input_xml": "<tag1><tag2>content</tag2></tag1>"},
test_output=[
("parsed_xml", {"tag1": {"tag2": "content"}}),
],
)
@staticmethod
def _validate_tokens(tokens: list[Token]) -> None:
"""Ensure the XML has a single root element and no stray text."""
if not tokens:
raise ValueError("XML input is empty.")
depth = 0
root_seen = False
for token in tokens:
if token.type == "TAG_OPEN":
if depth == 0 and root_seen:
raise ValueError("XML must have a single root element.")
depth += 1
if depth == 1:
root_seen = True
elif token.type == "TAG_CLOSE":
depth -= 1
if depth < 0:
raise SyntaxError("Unexpected closing tag in XML input.")
elif token.type in {"TEXT", "ESCAPE"}:
if depth == 0 and token.value:
raise ValueError(
"XML contains text outside the root element; "
"wrap content in a single root tag."
)
if depth != 0:
raise SyntaxError("Unclosed tag detected in XML input.")
if not root_seen:
raise ValueError("XML must include a root element.")
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
# Security fix: Add size limits to prevent XML bomb attacks
MAX_XML_SIZE = 10 * 1024 * 1024 # 10MB limit for XML input
if len(input_data.input_xml) > MAX_XML_SIZE:
raise ValueError(
f"XML too large: {len(input_data.input_xml)} bytes > {MAX_XML_SIZE} bytes"
)
try:
tokens = list(tokenize(input_data.input_xml))
self._validate_tokens(tokens)
parser = Parser(tokens)
parsed_result = parser.parse()
yield "parsed_xml", parsed_result
except ValueError as val_e:
raise ValueError(f"Validation error for dict:{val_e}") from val_e
except SyntaxError as syn_e:
raise SyntaxError(f"Error in input xml syntax: {syn_e}") from syn_e