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from typing import Any, List
from backend.data.block import Block, BlockCategory, BlockOutput, BlockSchema, BlockType
from backend.data.model import SchemaField
from backend.util.mock import MockObject
from backend.util.text import TextFormatter
formatter = TextFormatter()
class StoreValueBlock(Block):
"""
This block allows you to provide a constant value as a block, in a stateless manner.
The common use-case is simply pass the `input` data, it will `output` the same data.
The block output will be static, the output can be consumed multiple times.
"""
class Input(BlockSchema):
input: Any = SchemaField(
description="Trigger the block to produce the output. "
"The value is only used when `data` is None."
)
data: Any = SchemaField(
description="The constant data to be retained in the block. "
"This value is passed as `output`.",
default=None,
)
class Output(BlockSchema):
output: Any = SchemaField(description="The stored data retained in the block.")
def __init__(self):
super().__init__(
id="1ff065e9-88e8-4358-9d82-8dc91f622ba9",
description="This block forwards an input value as output, allowing reuse without change.",
categories={BlockCategory.BASIC},
input_schema=StoreValueBlock.Input,
output_schema=StoreValueBlock.Output,
test_input=[
{"input": "Hello, World!"},
{"input": "Hello, World!", "data": "Existing Data"},
],
test_output=[
("output", "Hello, World!"), # No data provided, so trigger is returned
("output", "Existing Data"), # Data is provided, so data is returned.
],
static_output=True,
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
yield "output", input_data.data or input_data.input
class PrintToConsoleBlock(Block):
class Input(BlockSchema):
text: str = SchemaField(description="The text to print to the console.")
class Output(BlockSchema):
status: str = SchemaField(description="The status of the print operation.")
def __init__(self):
super().__init__(
id="f3b1c1b2-4c4f-4f0d-8d2f-4c4f0d8d2f4c",
description="Print the given text to the console, this is used for a debugging purpose.",
categories={BlockCategory.BASIC},
input_schema=PrintToConsoleBlock.Input,
output_schema=PrintToConsoleBlock.Output,
test_input={"text": "Hello, World!"},
test_output=("status", "printed"),
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
print(">>>>> Print: ", input_data.text)
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},
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
obj = input_data.input
key = input_data.key
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 AgentInputBlock(Block):
"""
This block is used to provide input to the graph.
It takes in a value, name, description, default values list and bool to limit selection to default values.
It Outputs the value passed as input.
"""
class Input(BlockSchema):
name: str = SchemaField(description="The name of the input.")
value: Any = SchemaField(
description="The value to be passed as input.",
default=None,
)
title: str | None = SchemaField(
description="The title of the input.", default=None, advanced=True
)
description: str | None = SchemaField(
description="The description of the input.",
default=None,
advanced=True,
)
placeholder_values: List[Any] = SchemaField(
description="The placeholder values to be passed as input.",
default=[],
advanced=True,
)
limit_to_placeholder_values: bool = SchemaField(
description="Whether to limit the selection to placeholder values.",
default=False,
advanced=True,
)
advanced: bool = SchemaField(
description="Whether to show the input in the advanced section, if the field is not required.",
default=False,
advanced=True,
)
secret: bool = SchemaField(
description="Whether the input should be treated as a secret.",
default=False,
advanced=True,
)
class Output(BlockSchema):
result: Any = SchemaField(description="The value passed as input.")
def __init__(self):
super().__init__(
id="c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
description="This block is used to provide input to the graph.",
input_schema=AgentInputBlock.Input,
output_schema=AgentInputBlock.Output,
test_input=[
{
"value": "Hello, World!",
"name": "input_1",
"description": "This is a test input.",
"placeholder_values": [],
"limit_to_placeholder_values": False,
},
{
"value": "Hello, World!",
"name": "input_2",
"description": "This is a test input.",
"placeholder_values": ["Hello, World!"],
"limit_to_placeholder_values": True,
},
],
test_output=[
("result", "Hello, World!"),
("result", "Hello, World!"),
],
categories={BlockCategory.INPUT, BlockCategory.BASIC},
block_type=BlockType.INPUT,
static_output=True,
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
yield "result", input_data.value
class AgentOutputBlock(Block):
"""
Records the output of the graph for users to see.
Behavior:
If `format` is provided and the `value` is of a type that can be formatted,
the block attempts to format the recorded_value using the `format`.
If formatting fails or no `format` is provided, the raw `value` is output.
"""
class Input(BlockSchema):
value: Any = SchemaField(
description="The value to be recorded as output.",
default=None,
advanced=False,
)
name: str = SchemaField(description="The name of the output.")
title: str | None = SchemaField(
description="The title of the output.",
default=None,
advanced=True,
)
description: str | None = SchemaField(
description="The description of the output.",
default=None,
advanced=True,
)
format: str = SchemaField(
description="The format string to be used to format the recorded_value.",
default="",
advanced=True,
)
advanced: bool = SchemaField(
description="Whether to treat the output as advanced.",
default=False,
advanced=True,
)
secret: bool = SchemaField(
description="Whether the output should be treated as a secret.",
default=False,
advanced=True,
)
class Output(BlockSchema):
output: Any = SchemaField(description="The value recorded as output.")
def __init__(self):
super().__init__(
id="363ae599-353e-4804-937e-b2ee3cef3da4",
description="Stores the output of the graph for users to see.",
input_schema=AgentOutputBlock.Input,
output_schema=AgentOutputBlock.Output,
test_input=[
{
"value": "Hello, World!",
"name": "output_1",
"description": "This is a test output.",
"format": "{{ output_1 }}!!",
},
{
"value": "42",
"name": "output_2",
"description": "This is another test output.",
"format": "{{ output_2 }}",
},
{
"value": MockObject(value="!!", key="key"),
"name": "output_3",
"description": "This is a test output with a mock object.",
"format": "{{ output_3 }}",
},
],
test_output=[
("output", "Hello, World!!!"),
("output", "42"),
("output", MockObject(value="!!", key="key")),
],
categories={BlockCategory.OUTPUT, BlockCategory.BASIC},
block_type=BlockType.OUTPUT,
static_output=True,
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
"""
Attempts to format the recorded_value using the fmt_string if provided.
If formatting fails or no fmt_string is given, returns the original recorded_value.
"""
if input_data.format:
try:
yield "output", formatter.format_string(
input_data.format, {input_data.name: input_data.value}
)
except Exception as e:
yield "output", f"Error: {e}, {input_data.value}"
else:
yield "output", input_data.value
class AddToDictionaryBlock(Block):
class Input(BlockSchema):
dictionary: dict[Any, Any] = SchemaField(
default={},
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={},
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",
},
),
],
)
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=[],
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=[],
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"]),
],
)
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 NoteBlock(Block):
class Input(BlockSchema):
text: str = SchemaField(description="The text to display in the sticky note.")
class Output(BlockSchema):
output: str = SchemaField(description="The text to display in the sticky note.")
def __init__(self):
super().__init__(
id="cc10ff7b-7753-4ff2-9af6-9399b1a7eddc",
description="This block is used to display a sticky note with the given text.",
categories={BlockCategory.BASIC},
input_schema=NoteBlock.Input,
output_schema=NoteBlock.Output,
test_input={"text": "Hello, World!"},
test_output=[
("output", "Hello, World!"),
],
block_type=BlockType.NOTE,
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
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},
),
],
)
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]",
)
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"}],
),
],
)
def run(self, input_data: Input, **kwargs) -> BlockOutput:
try:
# The values are already validated by Pydantic schema
yield "list", input_data.values
except Exception as e:
yield "error", f"Failed to create list: {str(e)}"