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5 Commits

Author SHA1 Message Date
Zamil Majdy
3eda604608 refactor data manipulation blocks 2025-07-03 12:25:45 -07:00
Toran Bruce Richards
47ba2701c2 Merge branch 'dev' into q53n42-codex/add-list-operation-blocks 2025-07-03 20:08:57 +01:00
Toran Bruce Richards
26e3afa37d Merge branch 'dev' into q53n42-codex/add-list-operation-blocks 2025-06-27 21:33:09 +01:00
Toran Bruce Richards
d12fdbda79 Update autogpt_platform/backend/backend/blocks/basic.py
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2025-06-27 21:31:11 +01:00
Toran Bruce Richards
a235e49dda fix(blocks): remove failing test scenarios 2025-06-27 21:26:39 +01:00
3 changed files with 656 additions and 392 deletions

View File

@@ -1,12 +1,9 @@
import enum
from typing import Any, List
from typing import Any
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
from backend.data.model import SchemaField
from backend.util import json
from backend.util.file import store_media_file
from backend.util.mock import MockObject
from backend.util.prompt import estimate_token_count_str
from backend.util.type import MediaFileType, convert
@@ -121,266 +118,6 @@ class PrintToConsoleBlock(Block):
yield "status", "printed"
class FindInDictionaryBlock(Block):
class Input(BlockSchema):
input: Any = SchemaField(description="Dictionary to lookup from")
key: str | int = SchemaField(description="Key to lookup in the dictionary")
class Output(BlockSchema):
output: Any = SchemaField(description="Value found for the given key")
missing: Any = SchemaField(
description="Value of the input that missing the key"
)
def __init__(self):
super().__init__(
id="0e50422c-6dee-4145-83d6-3a5a392f65de",
description="Lookup the given key in the input dictionary/object/list and return the value.",
input_schema=FindInDictionaryBlock.Input,
output_schema=FindInDictionaryBlock.Output,
test_input=[
{"input": {"apple": 1, "banana": 2, "cherry": 3}, "key": "banana"},
{"input": {"x": 10, "y": 20, "z": 30}, "key": "w"},
{"input": [1, 2, 3], "key": 1},
{"input": [1, 2, 3], "key": 3},
{"input": MockObject(value="!!", key="key"), "key": "key"},
{"input": [{"k1": "v1"}, {"k2": "v2"}, {"k1": "v3"}], "key": "k1"},
],
test_output=[
("output", 2),
("missing", {"x": 10, "y": 20, "z": 30}),
("output", 2),
("missing", [1, 2, 3]),
("output", "key"),
("output", ["v1", "v3"]),
],
categories={BlockCategory.BASIC},
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
obj = input_data.input
key = input_data.key
if isinstance(obj, str):
obj = json.loads(obj)
if isinstance(obj, dict) and key in obj:
yield "output", obj[key]
elif isinstance(obj, list) and isinstance(key, int) and 0 <= key < len(obj):
yield "output", obj[key]
elif isinstance(obj, list) and isinstance(key, str):
if len(obj) == 0:
yield "output", []
elif isinstance(obj[0], dict) and key in obj[0]:
yield "output", [item[key] for item in obj if key in item]
else:
yield "output", [getattr(val, key) for val in obj if hasattr(val, key)]
elif isinstance(obj, object) and isinstance(key, str) and hasattr(obj, key):
yield "output", getattr(obj, key)
else:
yield "missing", input_data.input
class AddToDictionaryBlock(Block):
class Input(BlockSchema):
dictionary: dict[Any, Any] = SchemaField(
default_factory=dict,
description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
)
key: str = SchemaField(
default="",
description="The key for the new entry.",
placeholder="new_key",
advanced=False,
)
value: Any = SchemaField(
default=None,
description="The value for the new entry.",
placeholder="new_value",
advanced=False,
)
entries: dict[Any, Any] = SchemaField(
default_factory=dict,
description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
advanced=True,
)
class Output(BlockSchema):
updated_dictionary: dict = SchemaField(
description="The dictionary with the new entry added."
)
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="31d1064e-7446-4693-a7d4-65e5ca1180d1",
description="Adds a new key-value pair to a dictionary. If no dictionary is provided, a new one is created.",
categories={BlockCategory.BASIC},
input_schema=AddToDictionaryBlock.Input,
output_schema=AddToDictionaryBlock.Output,
test_input=[
{
"dictionary": {"existing_key": "existing_value"},
"key": "new_key",
"value": "new_value",
},
{"key": "first_key", "value": "first_value"},
{
"dictionary": {"existing_key": "existing_value"},
"entries": {"new_key": "new_value", "first_key": "first_value"},
},
],
test_output=[
(
"updated_dictionary",
{"existing_key": "existing_value", "new_key": "new_value"},
),
("updated_dictionary", {"first_key": "first_value"}),
(
"updated_dictionary",
{
"existing_key": "existing_value",
"new_key": "new_value",
"first_key": "first_value",
},
),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
updated_dict = input_data.dictionary.copy()
if input_data.value is not None and input_data.key:
updated_dict[input_data.key] = input_data.value
for key, value in input_data.entries.items():
updated_dict[key] = value
yield "updated_dictionary", updated_dict
class AddToListBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(
default_factory=list,
advanced=False,
description="The list to add the entry to. If not provided, a new list will be created.",
)
entry: Any = SchemaField(
description="The entry to add to the list. Can be of any type (string, int, dict, etc.).",
advanced=False,
default=None,
)
entries: List[Any] = SchemaField(
default_factory=lambda: list(),
description="The entries to add to the list. This is the batch version of the `entry` field.",
advanced=True,
)
position: int | None = SchemaField(
default=None,
description="The position to insert the new entry. If not provided, the entry will be appended to the end of the list.",
)
class Output(BlockSchema):
updated_list: List[Any] = SchemaField(
description="The list with the new entry added."
)
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="aeb08fc1-2fc1-4141-bc8e-f758f183a822",
description="Adds a new entry to a list. The entry can be of any type. If no list is provided, a new one is created.",
categories={BlockCategory.BASIC},
input_schema=AddToListBlock.Input,
output_schema=AddToListBlock.Output,
test_input=[
{
"list": [1, "string", {"existing_key": "existing_value"}],
"entry": {"new_key": "new_value"},
"position": 1,
},
{"entry": "first_entry"},
{"list": ["a", "b", "c"], "entry": "d"},
{
"entry": "e",
"entries": ["f", "g"],
"list": ["a", "b"],
"position": 1,
},
],
test_output=[
(
"updated_list",
[
1,
{"new_key": "new_value"},
"string",
{"existing_key": "existing_value"},
],
),
("updated_list", ["first_entry"]),
("updated_list", ["a", "b", "c", "d"]),
("updated_list", ["a", "f", "g", "e", "b"]),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
entries_added = input_data.entries.copy()
if input_data.entry:
entries_added.append(input_data.entry)
updated_list = input_data.list.copy()
if (pos := input_data.position) is not None:
updated_list = updated_list[:pos] + entries_added + updated_list[pos:]
else:
updated_list += entries_added
yield "updated_list", updated_list
class FindInListBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(description="The list to search in.")
value: Any = SchemaField(description="The value to search for.")
class Output(BlockSchema):
index: int = SchemaField(description="The index of the value in the list.")
found: bool = SchemaField(
description="Whether the value was found in the list."
)
not_found_value: Any = SchemaField(
description="The value that was not found in the list."
)
def __init__(self):
super().__init__(
id="5e2c6d0a-1e37-489f-b1d0-8e1812b23333",
description="Finds the index of the value in the list.",
categories={BlockCategory.BASIC},
input_schema=FindInListBlock.Input,
output_schema=FindInListBlock.Output,
test_input=[
{"list": [1, 2, 3, 4, 5], "value": 3},
{"list": [1, 2, 3, 4, 5], "value": 6},
],
test_output=[
("index", 2),
("found", True),
("found", False),
("not_found_value", 6),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
yield "index", input_data.list.index(input_data.value)
yield "found", True
except ValueError:
yield "found", False
yield "not_found_value", input_data.value
class NoteBlock(Block):
class Input(BlockSchema):
text: str = SchemaField(description="The text to display in the sticky note.")
@@ -406,133 +143,6 @@ class NoteBlock(Block):
yield "output", input_data.text
class CreateDictionaryBlock(Block):
class Input(BlockSchema):
values: dict[str, Any] = SchemaField(
description="Key-value pairs to create the dictionary with",
placeholder="e.g., {'name': 'Alice', 'age': 25}",
)
class Output(BlockSchema):
dictionary: dict[str, Any] = SchemaField(
description="The created dictionary containing the specified key-value pairs"
)
error: str = SchemaField(
description="Error message if dictionary creation failed"
)
def __init__(self):
super().__init__(
id="b924ddf4-de4f-4b56-9a85-358930dcbc91",
description="Creates a dictionary with the specified key-value pairs. Use this when you know all the values you want to add upfront.",
categories={BlockCategory.DATA},
input_schema=CreateDictionaryBlock.Input,
output_schema=CreateDictionaryBlock.Output,
test_input=[
{
"values": {"name": "Alice", "age": 25, "city": "New York"},
},
{
"values": {"numbers": [1, 2, 3], "active": True, "score": 95.5},
},
],
test_output=[
(
"dictionary",
{"name": "Alice", "age": 25, "city": "New York"},
),
(
"dictionary",
{"numbers": [1, 2, 3], "active": True, "score": 95.5},
),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
# The values are already validated by Pydantic schema
yield "dictionary", input_data.values
except Exception as e:
yield "error", f"Failed to create dictionary: {str(e)}"
class CreateListBlock(Block):
class Input(BlockSchema):
values: List[Any] = SchemaField(
description="A list of values to be combined into a new list.",
placeholder="e.g., ['Alice', 25, True]",
)
max_size: int | None = SchemaField(
default=None,
description="Maximum size of the list. If provided, the list will be yielded in chunks of this size.",
advanced=True,
)
max_tokens: int | None = SchemaField(
default=None,
description="Maximum tokens for the list. If provided, the list will be yielded in chunks that fit within this token limit.",
advanced=True,
)
class Output(BlockSchema):
list: List[Any] = SchemaField(
description="The created list containing the specified values."
)
error: str = SchemaField(description="Error message if list creation failed.")
def __init__(self):
super().__init__(
id="a912d5c7-6e00-4542-b2a9-8034136930e4",
description="Creates a list with the specified values. Use this when you know all the values you want to add upfront. This block can also yield the list in batches based on a maximum size or token limit.",
categories={BlockCategory.DATA},
input_schema=CreateListBlock.Input,
output_schema=CreateListBlock.Output,
test_input=[
{
"values": ["Alice", 25, True],
},
{
"values": [1, 2, 3, "four", {"key": "value"}],
},
],
test_output=[
(
"list",
["Alice", 25, True],
),
(
"list",
[1, 2, 3, "four", {"key": "value"}],
),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
chunk = []
cur_tokens, max_tokens = 0, input_data.max_tokens
cur_size, max_size = 0, input_data.max_size
for value in input_data.values:
if max_tokens:
tokens = estimate_token_count_str(value)
else:
tokens = 0
# Check if adding this value would exceed either limit
if (max_tokens and (cur_tokens + tokens > max_tokens)) or (
max_size and (cur_size + 1 > max_size)
):
yield "list", chunk
chunk = [value]
cur_size, cur_tokens = 1, tokens
else:
chunk.append(value)
cur_size, cur_tokens = cur_size + 1, cur_tokens + tokens
# Yield final chunk if any
if chunk or not input_data.values:
yield "list", chunk
class TypeOptions(enum.Enum):
STRING = "string"
NUMBER = "number"
@@ -550,6 +160,7 @@ class UniversalTypeConverterBlock(Block):
class Output(BlockSchema):
value: Any = SchemaField(description="The converted value.")
error: str = SchemaField(description="Error message if conversion failed.")
def __init__(self):
super().__init__(

View File

@@ -0,0 +1,652 @@
from typing import Any, List
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema
from backend.data.model import SchemaField
from backend.util.json import loads
from backend.util.mock import MockObject
# =============================================================================
# Dictionary Manipulation Blocks
# =============================================================================
class CreateDictionaryBlock(Block):
class Input(BlockSchema):
values: dict[str, Any] = SchemaField(
description="Key-value pairs to create the dictionary with",
placeholder="e.g., {'name': 'Alice', 'age': 25}",
)
class Output(BlockSchema):
dictionary: dict[str, Any] = SchemaField(
description="The created dictionary containing the specified key-value pairs"
)
error: str = SchemaField(
description="Error message if dictionary creation failed"
)
def __init__(self):
super().__init__(
id="b924ddf4-de4f-4b56-9a85-358930dcbc91",
description="Creates a dictionary with the specified key-value pairs. Use this when you know all the values you want to add upfront.",
categories={BlockCategory.DATA},
input_schema=CreateDictionaryBlock.Input,
output_schema=CreateDictionaryBlock.Output,
test_input=[
{
"values": {"name": "Alice", "age": 25, "city": "New York"},
},
{
"values": {"numbers": [1, 2, 3], "active": True, "score": 95.5},
},
],
test_output=[
(
"dictionary",
{"name": "Alice", "age": 25, "city": "New York"},
),
(
"dictionary",
{"numbers": [1, 2, 3], "active": True, "score": 95.5},
),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
# The values are already validated by Pydantic schema
yield "dictionary", input_data.values
except Exception as e:
yield "error", f"Failed to create dictionary: {str(e)}"
class AddToDictionaryBlock(Block):
class Input(BlockSchema):
dictionary: dict[Any, Any] = SchemaField(
default_factory=dict,
description="The dictionary to add the entry to. If not provided, a new dictionary will be created.",
)
key: str = SchemaField(
default="",
description="The key for the new entry.",
placeholder="new_key",
advanced=False,
)
value: Any = SchemaField(
default=None,
description="The value for the new entry.",
placeholder="new_value",
advanced=False,
)
entries: dict[Any, Any] = SchemaField(
default_factory=dict,
description="The entries to add to the dictionary. This is the batch version of the `key` and `value` fields.",
advanced=True,
)
class Output(BlockSchema):
updated_dictionary: dict = SchemaField(
description="The dictionary with the new entry added."
)
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="31d1064e-7446-4693-a7d4-65e5ca1180d1",
description="Adds a new key-value pair to a dictionary. If no dictionary is provided, a new one is created.",
categories={BlockCategory.BASIC},
input_schema=AddToDictionaryBlock.Input,
output_schema=AddToDictionaryBlock.Output,
test_input=[
{
"dictionary": {"existing_key": "existing_value"},
"key": "new_key",
"value": "new_value",
},
{"key": "first_key", "value": "first_value"},
{
"dictionary": {"existing_key": "existing_value"},
"entries": {"new_key": "new_value", "first_key": "first_value"},
},
],
test_output=[
(
"updated_dictionary",
{"existing_key": "existing_value", "new_key": "new_value"},
),
("updated_dictionary", {"first_key": "first_value"}),
(
"updated_dictionary",
{
"existing_key": "existing_value",
"new_key": "new_value",
"first_key": "first_value",
},
),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
updated_dict = input_data.dictionary.copy()
if input_data.value is not None and input_data.key:
updated_dict[input_data.key] = input_data.value
for key, value in input_data.entries.items():
updated_dict[key] = value
yield "updated_dictionary", updated_dict
class FindInDictionaryBlock(Block):
class Input(BlockSchema):
input: Any = SchemaField(description="Dictionary to lookup from")
key: str | int = SchemaField(description="Key to lookup in the dictionary")
class Output(BlockSchema):
output: Any = SchemaField(description="Value found for the given key")
missing: Any = SchemaField(
description="Value of the input that missing the key"
)
def __init__(self):
super().__init__(
id="0e50422c-6dee-4145-83d6-3a5a392f65de",
description="Lookup the given key in the input dictionary/object/list and return the value.",
input_schema=FindInDictionaryBlock.Input,
output_schema=FindInDictionaryBlock.Output,
test_input=[
{"input": {"apple": 1, "banana": 2, "cherry": 3}, "key": "banana"},
{"input": {"x": 10, "y": 20, "z": 30}, "key": "w"},
{"input": [1, 2, 3], "key": 1},
{"input": [1, 2, 3], "key": 3},
{"input": MockObject(value="!!", key="key"), "key": "key"},
{"input": [{"k1": "v1"}, {"k2": "v2"}, {"k1": "v3"}], "key": "k1"},
],
test_output=[
("output", 2),
("missing", {"x": 10, "y": 20, "z": 30}),
("output", 2),
("missing", [1, 2, 3]),
("output", "key"),
("output", ["v1", "v3"]),
],
categories={BlockCategory.BASIC},
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
obj = input_data.input
key = input_data.key
if isinstance(obj, str):
obj = loads(obj)
if isinstance(obj, dict) and key in obj:
yield "output", obj[key]
elif isinstance(obj, list) and isinstance(key, int) and 0 <= key < len(obj):
yield "output", obj[key]
elif isinstance(obj, list) and isinstance(key, str):
if len(obj) == 0:
yield "output", []
elif isinstance(obj[0], dict) and key in obj[0]:
yield "output", [item[key] for item in obj if key in item]
else:
yield "output", [getattr(val, key) for val in obj if hasattr(val, key)]
elif isinstance(obj, object) and isinstance(key, str) and hasattr(obj, key):
yield "output", getattr(obj, key)
else:
yield "missing", input_data.input
class RemoveFromDictionaryBlock(Block):
class Input(BlockSchema):
dictionary: dict[Any, Any] = SchemaField(
description="The dictionary to modify."
)
key: str | int = SchemaField(description="Key to remove from the dictionary.")
return_value: bool = SchemaField(
default=False, description="Whether to return the removed value."
)
class Output(BlockSchema):
updated_dictionary: dict[Any, Any] = SchemaField(
description="The dictionary after removal."
)
removed_value: Any = SchemaField(description="The removed value if requested.")
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="46afe2ea-c613-43f8-95ff-6692c3ef6876",
description="Removes a key-value pair from a dictionary.",
categories={BlockCategory.BASIC},
input_schema=RemoveFromDictionaryBlock.Input,
output_schema=RemoveFromDictionaryBlock.Output,
test_input=[
{
"dictionary": {"a": 1, "b": 2, "c": 3},
"key": "b",
"return_value": True,
},
{"dictionary": {"x": "hello", "y": "world"}, "key": "x"},
],
test_output=[
("updated_dictionary", {"a": 1, "c": 3}),
("removed_value", 2),
("updated_dictionary", {"y": "world"}),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
updated_dict = input_data.dictionary.copy()
try:
removed_value = updated_dict.pop(input_data.key)
yield "updated_dictionary", updated_dict
if input_data.return_value:
yield "removed_value", removed_value
except KeyError:
yield "error", f"Key '{input_data.key}' not found in dictionary"
class ReplaceDictionaryValueBlock(Block):
class Input(BlockSchema):
dictionary: dict[Any, Any] = SchemaField(
description="The dictionary to modify."
)
key: str | int = SchemaField(description="Key to replace the value for.")
value: Any = SchemaField(description="The new value for the given key.")
class Output(BlockSchema):
updated_dictionary: dict[Any, Any] = SchemaField(
description="The dictionary after replacement."
)
old_value: Any = SchemaField(description="The value that was replaced.")
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="27e31876-18b6-44f3-ab97-f6226d8b3889",
description="Replaces the value for a specified key in a dictionary.",
categories={BlockCategory.BASIC},
input_schema=ReplaceDictionaryValueBlock.Input,
output_schema=ReplaceDictionaryValueBlock.Output,
test_input=[
{"dictionary": {"a": 1, "b": 2, "c": 3}, "key": "b", "value": 99},
{
"dictionary": {"x": "hello", "y": "world"},
"key": "y",
"value": "universe",
},
],
test_output=[
("updated_dictionary", {"a": 1, "b": 99, "c": 3}),
("old_value", 2),
("updated_dictionary", {"x": "hello", "y": "universe"}),
("old_value", "world"),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
updated_dict = input_data.dictionary.copy()
try:
old_value = updated_dict[input_data.key]
updated_dict[input_data.key] = input_data.value
yield "updated_dictionary", updated_dict
yield "old_value", old_value
except KeyError:
yield "error", f"Key '{input_data.key}' not found in dictionary"
class DictionaryIsEmptyBlock(Block):
class Input(BlockSchema):
dictionary: dict[Any, Any] = SchemaField(description="The dictionary to check.")
class Output(BlockSchema):
is_empty: bool = SchemaField(description="True if the dictionary is empty.")
def __init__(self):
super().__init__(
id="a3cf3f64-6bb9-4cc6-9900-608a0b3359b0",
description="Checks if a dictionary is empty.",
categories={BlockCategory.BASIC},
input_schema=DictionaryIsEmptyBlock.Input,
output_schema=DictionaryIsEmptyBlock.Output,
test_input=[{"dictionary": {}}, {"dictionary": {"a": 1}}],
test_output=[("is_empty", True), ("is_empty", False)],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
yield "is_empty", len(input_data.dictionary) == 0
# =============================================================================
# List Manipulation Blocks
# =============================================================================
class CreateListBlock(Block):
class Input(BlockSchema):
values: List[Any] = SchemaField(
description="A list of values to be combined into a new list.",
placeholder="e.g., ['Alice', 25, True]",
)
class Output(BlockSchema):
list: List[Any] = SchemaField(
description="The created list containing the specified values."
)
error: str = SchemaField(description="Error message if list creation failed.")
def __init__(self):
super().__init__(
id="a912d5c7-6e00-4542-b2a9-8034136930e4",
description="Creates a list with the specified values. Use this when you know all the values you want to add upfront.",
categories={BlockCategory.DATA},
input_schema=CreateListBlock.Input,
output_schema=CreateListBlock.Output,
test_input=[
{
"values": ["Alice", 25, True],
},
{
"values": [1, 2, 3, "four", {"key": "value"}],
},
],
test_output=[
(
"list",
["Alice", 25, True],
),
(
"list",
[1, 2, 3, "four", {"key": "value"}],
),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
yield "list", input_data.values
except Exception as e:
yield "error", f"Failed to create list: {str(e)}"
class AddToListBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(
default_factory=list,
advanced=False,
description="The list to add the entry to. If not provided, a new list will be created.",
)
entry: Any = SchemaField(
description="The entry to add to the list. Can be of any type (string, int, dict, etc.).",
advanced=False,
default=None,
)
entries: List[Any] = SchemaField(
default_factory=lambda: list(),
description="The entries to add to the list. This is the batch version of the `entry` field.",
advanced=True,
)
position: int | None = SchemaField(
default=None,
description="The position to insert the new entry. If not provided, the entry will be appended to the end of the list.",
)
class Output(BlockSchema):
updated_list: List[Any] = SchemaField(
description="The list with the new entry added."
)
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="aeb08fc1-2fc1-4141-bc8e-f758f183a822",
description="Adds a new entry to a list. The entry can be of any type. If no list is provided, a new one is created.",
categories={BlockCategory.BASIC},
input_schema=AddToListBlock.Input,
output_schema=AddToListBlock.Output,
test_input=[
{
"list": [1, "string", {"existing_key": "existing_value"}],
"entry": {"new_key": "new_value"},
"position": 1,
},
{"entry": "first_entry"},
{"list": ["a", "b", "c"], "entry": "d"},
{
"entry": "e",
"entries": ["f", "g"],
"list": ["a", "b"],
"position": 1,
},
],
test_output=[
(
"updated_list",
[
1,
{"new_key": "new_value"},
"string",
{"existing_key": "existing_value"},
],
),
("updated_list", ["first_entry"]),
("updated_list", ["a", "b", "c", "d"]),
("updated_list", ["a", "f", "g", "e", "b"]),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
entries_added = input_data.entries.copy()
if input_data.entry:
entries_added.append(input_data.entry)
updated_list = input_data.list.copy()
if (pos := input_data.position) is not None:
updated_list = updated_list[:pos] + entries_added + updated_list[pos:]
else:
updated_list += entries_added
yield "updated_list", updated_list
class FindInListBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(description="The list to search in.")
value: Any = SchemaField(description="The value to search for.")
class Output(BlockSchema):
index: int = SchemaField(description="The index of the value in the list.")
found: bool = SchemaField(
description="Whether the value was found in the list."
)
not_found_value: Any = SchemaField(
description="The value that was not found in the list."
)
def __init__(self):
super().__init__(
id="5e2c6d0a-1e37-489f-b1d0-8e1812b23333",
description="Finds the index of the value in the list.",
categories={BlockCategory.BASIC},
input_schema=FindInListBlock.Input,
output_schema=FindInListBlock.Output,
test_input=[
{"list": [1, 2, 3, 4, 5], "value": 3},
{"list": [1, 2, 3, 4, 5], "value": 6},
],
test_output=[
("index", 2),
("found", True),
("found", False),
("not_found_value", 6),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
yield "index", input_data.list.index(input_data.value)
yield "found", True
except ValueError:
yield "found", False
yield "not_found_value", input_data.value
class GetListItemBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(description="The list to get the item from.")
index: int = SchemaField(
description="The 0-based index of the item (supports negative indices)."
)
class Output(BlockSchema):
item: Any = SchemaField(description="The item at the specified index.")
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="262ca24c-1025-43cf-a578-534e23234e97",
description="Returns the element at the given index.",
categories={BlockCategory.BASIC},
input_schema=GetListItemBlock.Input,
output_schema=GetListItemBlock.Output,
test_input=[
{"list": [1, 2, 3], "index": 1},
{"list": [1, 2, 3], "index": -1},
],
test_output=[
("item", 2),
("item", 3),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
yield "item", input_data.list[input_data.index]
except IndexError:
yield "error", "Index out of range"
class RemoveFromListBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(description="The list to modify.")
value: Any = SchemaField(
default=None, description="Value to remove from the list."
)
index: int | None = SchemaField(
default=None,
description="Index of the item to pop (supports negative indices).",
)
return_item: bool = SchemaField(
default=False, description="Whether to return the removed item."
)
class Output(BlockSchema):
updated_list: List[Any] = SchemaField(description="The list after removal.")
removed_item: Any = SchemaField(description="The removed item if requested.")
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="d93c5a93-ac7e-41c1-ae5c-ef67e6e9b826",
description="Removes an item from a list by value or index.",
categories={BlockCategory.BASIC},
input_schema=RemoveFromListBlock.Input,
output_schema=RemoveFromListBlock.Output,
test_input=[
{"list": [1, 2, 3], "index": 1, "return_item": True},
{"list": ["a", "b", "c"], "value": "b"},
],
test_output=[
("updated_list", [1, 3]),
("removed_item", 2),
("updated_list", ["a", "c"]),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
lst = input_data.list.copy()
removed = None
try:
if input_data.index is not None:
removed = lst.pop(input_data.index)
elif input_data.value is not None:
lst.remove(input_data.value)
removed = input_data.value
else:
raise ValueError("No index or value provided for removal")
except (IndexError, ValueError):
yield "error", "Index or value not found"
return
yield "updated_list", lst
if input_data.return_item:
yield "removed_item", removed
class ReplaceListItemBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(description="The list to modify.")
index: int = SchemaField(
description="Index of the item to replace (supports negative indices)."
)
value: Any = SchemaField(description="The new value for the given index.")
class Output(BlockSchema):
updated_list: List[Any] = SchemaField(description="The list after replacement.")
old_item: Any = SchemaField(description="The item that was replaced.")
error: str = SchemaField(description="Error message if the operation failed.")
def __init__(self):
super().__init__(
id="fbf62922-bea1-4a3d-8bac-23587f810b38",
description="Replaces an item at the specified index.",
categories={BlockCategory.BASIC},
input_schema=ReplaceListItemBlock.Input,
output_schema=ReplaceListItemBlock.Output,
test_input=[
{"list": [1, 2, 3], "index": 1, "value": 99},
{"list": ["a", "b"], "index": -1, "value": "c"},
],
test_output=[
("updated_list", [1, 99, 3]),
("old_item", 2),
("updated_list", ["a", "c"]),
("old_item", "b"),
],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
lst = input_data.list.copy()
try:
old = lst[input_data.index]
lst[input_data.index] = input_data.value
except IndexError:
yield "error", "Index out of range"
return
yield "updated_list", lst
yield "old_item", old
class ListIsEmptyBlock(Block):
class Input(BlockSchema):
list: List[Any] = SchemaField(description="The list to check.")
class Output(BlockSchema):
is_empty: bool = SchemaField(description="True if the list is empty.")
def __init__(self):
super().__init__(
id="896ed73b-27d0-41be-813c-c1c1dc856c03",
description="Checks if a list is empty.",
categories={BlockCategory.BASIC},
input_schema=ListIsEmptyBlock.Input,
output_schema=ListIsEmptyBlock.Output,
test_input=[{"list": []}, {"list": [1]}],
test_output=[("is_empty", True), ("is_empty", False)],
)
async def run(self, input_data: Input, **kwargs) -> BlockOutput:
yield "is_empty", len(input_data.list) == 0

View File

@@ -7,7 +7,8 @@ from prisma.models import User
import backend.server.v2.library.model
import backend.server.v2.store.model
from backend.blocks.basic import FindInDictionaryBlock, StoreValueBlock
from backend.blocks.basic import StoreValueBlock
from backend.blocks.data_manipulation import FindInDictionaryBlock
from backend.blocks.io import AgentInputBlock
from backend.blocks.maths import CalculatorBlock, Operation
from backend.data import execution, graph