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schemas.py
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schemas.py
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from datetime import datetime, timezone
from enum import Enum
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from uuid import UUID
from pydantic import BaseModel, ConfigDict, Field, field_validator, model_serializer
from langflow.graph.schema import RunOutputs
from langflow.schema import dotdict
from langflow.schema.graph import Tweaks
from langflow.schema.schema import InputType, OutputLog, OutputType
from langflow.services.database.models.api_key.model import ApiKeyRead
from langflow.services.database.models.base import orjson_dumps
from langflow.services.database.models.flow import FlowCreate, FlowRead
from langflow.services.database.models.user import UserRead
class BuildStatus(Enum):
"""Status of the build."""
SUCCESS = "success"
FAILURE = "failure"
STARTED = "started"
IN_PROGRESS = "in_progress"
class TweaksRequest(BaseModel):
tweaks: Optional[Dict[str, Dict[str, Any]]] = Field(default_factory=dict)
class UpdateTemplateRequest(BaseModel):
template: dict
class TaskResponse(BaseModel):
"""Task response schema."""
id: Optional[str] = Field(None)
href: Optional[str] = Field(None)
class ProcessResponse(BaseModel):
"""Process response schema."""
result: Any
status: Optional[str] = None
task: Optional[TaskResponse] = None
session_id: Optional[str] = None
backend: Optional[str] = None
class RunResponse(BaseModel):
"""Run response schema."""
outputs: Optional[List[RunOutputs]] = []
session_id: Optional[str] = None
@model_serializer(mode="plain")
def serialize(self):
# Serialize all the outputs if they are base models
serialized = {"session_id": self.session_id, "outputs": []}
if self.outputs:
serialized_outputs = []
for output in self.outputs:
if isinstance(output, BaseModel) and not isinstance(output, RunOutputs):
serialized_outputs.append(output.model_dump(exclude_none=True))
else:
serialized_outputs.append(output)
serialized["outputs"] = serialized_outputs
return serialized
class PreloadResponse(BaseModel):
"""Preload response schema."""
session_id: Optional[str] = None
is_clear: Optional[bool] = None
class TaskStatusResponse(BaseModel):
"""Task status response schema."""
status: str
result: Optional[Any] = None
class ChatMessage(BaseModel):
"""Chat message schema."""
is_bot: bool = False
message: Union[str, None, dict] = None
chatKey: Optional[str] = None
type: str = "human"
class ChatResponse(ChatMessage):
"""Chat response schema."""
intermediate_steps: str
type: str
is_bot: bool = True
files: list = []
@field_validator("type")
@classmethod
def validate_message_type(cls, v):
if v not in ["start", "stream", "end", "error", "info", "file"]:
raise ValueError("type must be start, stream, end, error, info, or file")
return v
class PromptResponse(ChatMessage):
"""Prompt response schema."""
prompt: str
type: str = "prompt"
is_bot: bool = True
class FileResponse(ChatMessage):
"""File response schema."""
data: Any = None
data_type: str
type: str = "file"
is_bot: bool = True
@field_validator("data_type")
@classmethod
def validate_data_type(cls, v):
if v not in ["image", "csv"]:
raise ValueError("data_type must be image or csv")
return v
class FlowListCreate(BaseModel):
flows: List[FlowCreate]
class FlowListIds(BaseModel):
flow_ids: List[str]
class FlowListRead(BaseModel):
flows: List[FlowRead]
class FlowListReadWithFolderName(BaseModel):
flows: List[FlowRead]
name: str
description: str
class InitResponse(BaseModel):
flowId: str
class BuiltResponse(BaseModel):
built: bool
class UploadFileResponse(BaseModel):
"""Upload file response schema."""
flowId: str
file_path: Path
class StreamData(BaseModel):
event: str
data: dict
def __str__(self) -> str:
return f"event: {self.event}\ndata: {orjson_dumps(self.data, indent_2=False)}\n\n"
class CustomComponentRequest(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
code: str
frontend_node: Optional[dict] = None
class UpdateCustomComponentRequest(CustomComponentRequest):
field: str
field_value: Optional[Union[str, int, float, bool, dict, list]] = None
template: dict
def get_template(self):
return dotdict(self.template)
class CustomComponentResponseError(BaseModel):
detail: str
traceback: str
class ComponentListCreate(BaseModel):
flows: List[FlowCreate]
class ComponentListRead(BaseModel):
flows: List[FlowRead]
class UsersResponse(BaseModel):
total_count: int
users: List[UserRead]
class ApiKeyResponse(BaseModel):
id: str
api_key: str
name: str
created_at: str
last_used_at: str
class ApiKeysResponse(BaseModel):
total_count: int
user_id: UUID
api_keys: List[ApiKeyRead]
class CreateApiKeyRequest(BaseModel):
name: str
class Token(BaseModel):
access_token: str
refresh_token: str
token_type: str
class ApiKeyCreateRequest(BaseModel):
api_key: str
class VerticesOrderResponse(BaseModel):
ids: List[str]
run_id: UUID
vertices_to_run: List[str]
class ResultDataResponse(BaseModel):
results: Optional[Any] = Field(default_factory=dict)
outputs: dict[str, OutputLog] = Field(default_factory=dict)
message: Optional[Any] = Field(default_factory=dict)
artifacts: Optional[Any] = Field(default_factory=dict)
timedelta: Optional[float] = None
duration: Optional[str] = None
used_frozen_result: Optional[bool] = False
class VertexBuildResponse(BaseModel):
id: Optional[str] = None
inactivated_vertices: Optional[List[str]] = None
next_vertices_ids: Optional[List[str]] = None
top_level_vertices: Optional[List[str]] = None
valid: bool
params: Optional[Any] = Field(default_factory=dict)
"""JSON string of the params."""
data: ResultDataResponse
"""Mapping of vertex ids to result dict containing the param name and result value."""
timestamp: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc))
"""Timestamp of the build."""
class VerticesBuiltResponse(BaseModel):
vertices: List[VertexBuildResponse]
class InputValueRequest(BaseModel):
components: Optional[List[str]] = []
input_value: Optional[str] = None
type: Optional[InputType] = Field(
"any",
description="Defines on which components the input value should be applied. 'any' applies to all input components.",
)
# add an example
model_config = ConfigDict(
json_schema_extra={
"examples": [
{
"components": ["components_id", "Component Name"],
"input_value": "input_value",
},
{"components": ["Component Name"], "input_value": "input_value"},
{"input_value": "input_value"},
{"type": "chat", "input_value": "input_value"},
{"type": "json", "input_value": '{"key": "value"}'},
]
},
extra="forbid",
)
class SimplifiedAPIRequest(BaseModel):
input_value: Optional[str] = Field(default="", description="The input value")
input_type: Optional[InputType] = Field(default="chat", description="The input type")
output_type: Optional[OutputType] = Field(default="chat", description="The output type")
output_component: Optional[str] = Field(
default="",
description="If there are multiple output components, you can specify the component to get the output from.",
)
tweaks: Optional[Tweaks] = Field(default=None, description="The tweaks")
session_id: Optional[str] = Field(default=None, description="The session id")
# (alias) type ReactFlowJsonObject<NodeData = any, EdgeData = any> = {
# nodes: Node<NodeData>[];
# edges: Edge<EdgeData>[];
# viewport: Viewport;
# }
# import ReactFlowJsonObject
class FlowDataRequest(BaseModel):
nodes: List[dict]
edges: List[dict]
viewport: Optional[dict] = None
class ConfigResponse(BaseModel):
frontend_timeout: int