Files
AutoGPT/autogpt_platform/backend/backend/blocks/maths.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

131 lines
4.1 KiB
Python

import operator
from enum import Enum
from typing import Any
from backend.blocks._base import (
Block,
BlockCategory,
BlockOutput,
BlockSchemaInput,
BlockSchemaOutput,
)
from backend.data.model import SchemaField
class Operation(Enum):
ADD = "Add"
SUBTRACT = "Subtract"
MULTIPLY = "Multiply"
DIVIDE = "Divide"
POWER = "Power"
class CalculatorBlock(Block):
class Input(BlockSchemaInput):
operation: Operation = SchemaField(
description="Choose the math operation you want to perform",
placeholder="Select an operation",
)
a: float = SchemaField(
description="Enter the first number (A)", placeholder="For example: 10"
)
b: float = SchemaField(
description="Enter the second number (B)", placeholder="For example: 5"
)
round_result: bool = SchemaField(
description="Do you want to round the result to a whole number?",
default=False,
)
class Output(BlockSchemaOutput):
result: float = SchemaField(description="The result of your calculation")
def __init__(self):
super().__init__(
id="b1ab9b19-67a6-406d-abf5-2dba76d00c79",
input_schema=CalculatorBlock.Input,
output_schema=CalculatorBlock.Output,
description="Performs a mathematical operation on two numbers.",
categories={BlockCategory.LOGIC},
test_input={
"operation": Operation.ADD.value,
"a": 10.0,
"b": 5.0,
"round_result": False,
},
test_output=[
("result", 15.0),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
operation = input_data.operation
a = input_data.a
b = input_data.b
operations = {
Operation.ADD: operator.add,
Operation.SUBTRACT: operator.sub,
Operation.MULTIPLY: operator.mul,
Operation.DIVIDE: operator.truediv,
Operation.POWER: operator.pow,
}
op_func = operations[operation]
try:
if operation == Operation.DIVIDE and b == 0:
raise ZeroDivisionError("Cannot divide by zero")
result = op_func(a, b)
if input_data.round_result:
result = round(result)
yield "result", result
except ZeroDivisionError:
yield "result", float("inf") # Return infinity for division by zero
except Exception:
yield "result", float("nan") # Return NaN for other errors
class CountItemsBlock(Block):
class Input(BlockSchemaInput):
collection: Any = SchemaField(
description="Enter the collection you want to count. This can be a list, dictionary, string, or any other iterable.",
placeholder="For example: [1, 2, 3] or {'a': 1, 'b': 2} or 'hello'",
)
class Output(BlockSchemaOutput):
count: int = SchemaField(description="The number of items in the collection")
def __init__(self):
super().__init__(
id="3c9c2f42-b0c3-435f-ba35-05f7a25c772a",
input_schema=CountItemsBlock.Input,
output_schema=CountItemsBlock.Output,
description="Counts the number of items in a collection.",
categories={BlockCategory.LOGIC},
test_input={"collection": [1, 2, 3, 4, 5]},
test_output=[
("count", 5),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
collection = input_data.collection
try:
if isinstance(collection, (str, list, tuple, set, dict)):
count = len(collection)
elif hasattr(collection, "__iter__"):
count = sum(1 for _ in collection)
else:
raise ValueError("Input is not a countable collection")
yield "count", count
except Exception:
yield "count", -1 # Return -1 to indicate an error