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ci/cla-lab
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dev
| Author | SHA1 | Date | |
|---|---|---|---|
|
cd64562e1b | ||
|
|
8fddc9d71f |
1328
autogpt_platform/autogpt_libs/poetry.lock
generated
1328
autogpt_platform/autogpt_libs/poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@@ -11,15 +11,15 @@ python = ">=3.10,<4.0"
|
||||
colorama = "^0.4.6"
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||||
cryptography = "^45.0"
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||||
expiringdict = "^1.2.2"
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||||
fastapi = "^0.116.1"
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google-cloud-logging = "^3.12.1"
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launchdarkly-server-sdk = "^9.12.0"
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pydantic = "^2.11.7"
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pydantic-settings = "^2.10.1"
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pyjwt = { version = "^2.10.1", extras = ["crypto"] }
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fastapi = "^0.128.0"
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google-cloud-logging = "^3.13.0"
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launchdarkly-server-sdk = "^9.14.1"
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pydantic = "^2.12.5"
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pydantic-settings = "^2.12.0"
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pyjwt = { version = "^2.11.0", extras = ["crypto"] }
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redis = "^6.2.0"
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supabase = "^2.16.0"
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uvicorn = "^0.35.0"
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supabase = "^2.27.2"
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uvicorn = "^0.40.0"
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[tool.poetry.group.dev.dependencies]
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pyright = "^1.1.404"
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@@ -6,7 +6,6 @@ from typing import Any
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from backend.api.features.library import db as library_db
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from backend.api.features.library import model as library_model
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from backend.api.features.store import db as store_db
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from backend.data import graph as graph_db
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from backend.data.graph import GraphModel
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from backend.data.model import (
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CredentialsFieldInfo,
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@@ -44,14 +43,8 @@ async def fetch_graph_from_store_slug(
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return None, None
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# Get the graph from store listing version
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graph_meta = await store_db.get_available_graph(
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store_agent.store_listing_version_id
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)
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graph = await graph_db.get_graph(
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graph_id=graph_meta.id,
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version=graph_meta.version,
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user_id=None, # Public access
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include_subgraphs=True,
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graph = await store_db.get_available_graph(
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store_agent.store_listing_version_id, hide_nodes=False
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)
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return graph, store_agent
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@@ -128,7 +121,7 @@ def build_missing_credentials_from_graph(
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return {
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field_key: _serialize_missing_credential(field_key, field_info)
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for field_key, (field_info, _node_fields) in aggregated_fields.items()
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for field_key, (field_info, _, _) in aggregated_fields.items()
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if field_key not in matched_keys
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}
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@@ -269,7 +262,8 @@ async def match_user_credentials_to_graph(
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# provider is in the set of acceptable providers.
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for credential_field_name, (
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credential_requirements,
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_node_fields,
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_,
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_,
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) in aggregated_creds.items():
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# Find first matching credential by provider, type, and scopes
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matching_cred = next(
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@@ -374,7 +374,7 @@ async def get_library_agent_by_graph_id(
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async def add_generated_agent_image(
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graph: graph_db.BaseGraph,
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graph: graph_db.GraphBaseMeta,
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user_id: str,
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library_agent_id: str,
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) -> Optional[prisma.models.LibraryAgent]:
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@@ -1,7 +1,7 @@
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import asyncio
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import logging
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from datetime import datetime, timezone
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from typing import Any, Literal
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from typing import Any, Literal, overload
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import fastapi
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import prisma.enums
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@@ -11,8 +11,8 @@ import prisma.types
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from backend.data.db import transaction
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from backend.data.graph import (
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GraphMeta,
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GraphModel,
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GraphModelWithoutNodes,
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get_graph,
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get_graph_as_admin,
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get_sub_graphs,
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@@ -334,7 +334,22 @@ async def get_store_agent_details(
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raise DatabaseError("Failed to fetch agent details") from e
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async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
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@overload
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async def get_available_graph(
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store_listing_version_id: str, hide_nodes: Literal[False]
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) -> GraphModel: ...
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@overload
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async def get_available_graph(
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store_listing_version_id: str, hide_nodes: Literal[True] = True
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) -> GraphModelWithoutNodes: ...
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async def get_available_graph(
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store_listing_version_id: str,
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hide_nodes: bool = True,
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) -> GraphModelWithoutNodes | GraphModel:
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try:
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# Get avaialble, non-deleted store listing version
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store_listing_version = (
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@@ -344,7 +359,7 @@ async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
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"isAvailable": True,
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"isDeleted": False,
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},
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include={"AgentGraph": {"include": {"Nodes": True}}},
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include={"AgentGraph": {"include": AGENT_GRAPH_INCLUDE}},
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)
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)
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@@ -354,7 +369,9 @@ async def get_available_graph(store_listing_version_id: str) -> GraphMeta:
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detail=f"Store listing version {store_listing_version_id} not found",
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)
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return GraphModel.from_db(store_listing_version.AgentGraph).meta()
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return (GraphModelWithoutNodes if hide_nodes else GraphModel).from_db(
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store_listing_version.AgentGraph
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)
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except Exception as e:
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logger.error(f"Error getting agent: {e}")
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@@ -16,7 +16,7 @@ from backend.blocks.ideogram import (
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StyleType,
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UpscaleOption,
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)
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from backend.data.graph import BaseGraph
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from backend.data.graph import GraphBaseMeta
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from backend.data.model import CredentialsMetaInput, ProviderName
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from backend.integrations.credentials_store import ideogram_credentials
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from backend.util.request import Requests
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@@ -34,14 +34,14 @@ class ImageStyle(str, Enum):
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DIGITAL_ART = "digital art"
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async def generate_agent_image(agent: BaseGraph | AgentGraph) -> io.BytesIO:
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async def generate_agent_image(agent: GraphBaseMeta | AgentGraph) -> io.BytesIO:
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if settings.config.use_agent_image_generation_v2:
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return await generate_agent_image_v2(graph=agent)
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else:
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return await generate_agent_image_v1(agent=agent)
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async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
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async def generate_agent_image_v2(graph: GraphBaseMeta | AgentGraph) -> io.BytesIO:
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"""
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Generate an image for an agent using Ideogram model.
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Returns:
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@@ -54,14 +54,17 @@ async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
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description = f"{name} ({graph.description})" if graph.description else name
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prompt = (
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f"Create a visually striking retro-futuristic vector pop art illustration prominently featuring "
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f'"{name}" in bold typography. The image clearly and literally depicts a {description}, '
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f"along with recognizable objects directly associated with the primary function of a {name}. "
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f"Ensure the imagery is concrete, intuitive, and immediately understandable, clearly conveying the "
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f"purpose of a {name}. Maintain vibrant, limited-palette colors, sharp vector lines, geometric "
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f"shapes, flat illustration techniques, and solid colors without gradients or shading. Preserve a "
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f"retro-futuristic aesthetic influenced by mid-century futurism and 1960s psychedelia, "
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f"prioritizing clear visual storytelling and thematic clarity above all else."
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||||
"Create a visually striking retro-futuristic vector pop art illustration "
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||||
f'prominently featuring "{name}" in bold typography. The image clearly and '
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||||
f"literally depicts a {description}, along with recognizable objects directly "
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||||
f"associated with the primary function of a {name}. "
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||||
f"Ensure the imagery is concrete, intuitive, and immediately understandable, "
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||||
f"clearly conveying the purpose of a {name}. "
|
||||
"Maintain vibrant, limited-palette colors, sharp vector lines, "
|
||||
"geometric shapes, flat illustration techniques, and solid colors "
|
||||
"without gradients or shading. Preserve a retro-futuristic aesthetic "
|
||||
"influenced by mid-century futurism and 1960s psychedelia, "
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||||
"prioritizing clear visual storytelling and thematic clarity above all else."
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||||
)
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custom_colors = [
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@@ -99,12 +102,12 @@ async def generate_agent_image_v2(graph: BaseGraph | AgentGraph) -> io.BytesIO:
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return io.BytesIO(response.content)
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async def generate_agent_image_v1(agent: BaseGraph | AgentGraph) -> io.BytesIO:
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async def generate_agent_image_v1(agent: GraphBaseMeta | AgentGraph) -> io.BytesIO:
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"""
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Generate an image for an agent using Flux model via Replicate API.
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Args:
|
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agent (Graph): The agent to generate an image for
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agent (GraphBaseMeta | AgentGraph): The agent to generate an image for
|
||||
|
||||
Returns:
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io.BytesIO: The generated image as bytes
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@@ -114,7 +117,13 @@ async def generate_agent_image_v1(agent: BaseGraph | AgentGraph) -> io.BytesIO:
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raise ValueError("Missing Replicate API key in settings")
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# Construct prompt from agent details
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prompt = f"Create a visually engaging app store thumbnail for the AI agent that highlights what it does in a clear and captivating way:\n- **Name**: {agent.name}\n- **Description**: {agent.description}\nFocus on showcasing its core functionality with an appealing design."
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prompt = (
|
||||
"Create a visually engaging app store thumbnail for the AI agent "
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||||
"that highlights what it does in a clear and captivating way:\n"
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||||
f"- **Name**: {agent.name}\n"
|
||||
f"- **Description**: {agent.description}\n"
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f"Focus on showcasing its core functionality with an appealing design."
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)
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# Set up Replicate client
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client = ReplicateClient(api_token=settings.secrets.replicate_api_key)
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@@ -278,7 +278,7 @@ async def get_agent(
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)
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async def get_graph_meta_by_store_listing_version_id(
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store_listing_version_id: str,
|
||||
) -> backend.data.graph.GraphMeta:
|
||||
) -> backend.data.graph.GraphModelWithoutNodes:
|
||||
"""
|
||||
Get Agent Graph from Store Listing Version ID.
|
||||
"""
|
||||
|
||||
@@ -478,7 +478,7 @@ class ExaCreateOrFindWebsetBlock(Block):
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aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
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try:
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webset = aexa.websets.get(id=input_data.external_id)
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webset = await aexa.websets.get(id=input_data.external_id)
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webset_result = Webset.model_validate(webset.model_dump(by_alias=True))
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|
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yield "webset", webset_result
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@@ -494,7 +494,7 @@ class ExaCreateOrFindWebsetBlock(Block):
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||||
count=input_data.search_count,
|
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)
|
||||
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webset = aexa.websets.create(
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webset = await aexa.websets.create(
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params=CreateWebsetParameters(
|
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search=search_params,
|
||||
external_id=input_data.external_id,
|
||||
@@ -554,7 +554,7 @@ class ExaUpdateWebsetBlock(Block):
|
||||
if input_data.metadata is not None:
|
||||
payload["metadata"] = input_data.metadata
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||||
|
||||
sdk_webset = aexa.websets.update(id=input_data.webset_id, params=payload)
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sdk_webset = await aexa.websets.update(id=input_data.webset_id, params=payload)
|
||||
|
||||
status_str = (
|
||||
sdk_webset.status.value
|
||||
@@ -617,7 +617,7 @@ class ExaListWebsetsBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
response = aexa.websets.list(
|
||||
response = await aexa.websets.list(
|
||||
cursor=input_data.cursor,
|
||||
limit=input_data.limit,
|
||||
)
|
||||
@@ -678,7 +678,7 @@ class ExaGetWebsetBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_webset = aexa.websets.get(id=input_data.webset_id)
|
||||
sdk_webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
|
||||
status_str = (
|
||||
sdk_webset.status.value
|
||||
@@ -748,7 +748,7 @@ class ExaDeleteWebsetBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
deleted_webset = aexa.websets.delete(id=input_data.webset_id)
|
||||
deleted_webset = await aexa.websets.delete(id=input_data.webset_id)
|
||||
|
||||
status_str = (
|
||||
deleted_webset.status.value
|
||||
@@ -798,7 +798,7 @@ class ExaCancelWebsetBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
canceled_webset = aexa.websets.cancel(id=input_data.webset_id)
|
||||
canceled_webset = await aexa.websets.cancel(id=input_data.webset_id)
|
||||
|
||||
status_str = (
|
||||
canceled_webset.status.value
|
||||
@@ -968,7 +968,7 @@ class ExaPreviewWebsetBlock(Block):
|
||||
entity["description"] = input_data.entity_description
|
||||
payload["entity"] = entity
|
||||
|
||||
sdk_preview = aexa.websets.preview(params=payload)
|
||||
sdk_preview = await aexa.websets.preview(params=payload)
|
||||
|
||||
preview = PreviewWebsetModel.from_sdk(sdk_preview)
|
||||
|
||||
@@ -1051,7 +1051,7 @@ class ExaWebsetStatusBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
|
||||
status = (
|
||||
webset.status.value
|
||||
@@ -1185,7 +1185,7 @@ class ExaWebsetSummaryBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
|
||||
# Extract basic info
|
||||
webset_id = webset.id
|
||||
@@ -1211,7 +1211,7 @@ class ExaWebsetSummaryBlock(Block):
|
||||
total_items = 0
|
||||
|
||||
if input_data.include_sample_items and input_data.sample_size > 0:
|
||||
items_response = aexa.websets.items.list(
|
||||
items_response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id, limit=input_data.sample_size
|
||||
)
|
||||
sample_items_data = [
|
||||
@@ -1362,7 +1362,7 @@ class ExaWebsetReadyCheckBlock(Block):
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
# Get webset details
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
|
||||
status = (
|
||||
webset.status.value
|
||||
|
||||
@@ -202,7 +202,7 @@ class ExaCreateEnrichmentBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_enrichment = aexa.websets.enrichments.create(
|
||||
sdk_enrichment = await aexa.websets.enrichments.create(
|
||||
webset_id=input_data.webset_id, params=payload
|
||||
)
|
||||
|
||||
@@ -223,7 +223,7 @@ class ExaCreateEnrichmentBlock(Block):
|
||||
items_enriched = 0
|
||||
|
||||
while time.time() - poll_start < input_data.polling_timeout:
|
||||
current_enrich = aexa.websets.enrichments.get(
|
||||
current_enrich = await aexa.websets.enrichments.get(
|
||||
webset_id=input_data.webset_id, id=enrichment_id
|
||||
)
|
||||
current_status = (
|
||||
@@ -234,7 +234,7 @@ class ExaCreateEnrichmentBlock(Block):
|
||||
|
||||
if current_status in ["completed", "failed", "cancelled"]:
|
||||
# Estimate items from webset searches
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
if webset.searches:
|
||||
for search in webset.searches:
|
||||
if search.progress:
|
||||
@@ -329,7 +329,7 @@ class ExaGetEnrichmentBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_enrichment = aexa.websets.enrichments.get(
|
||||
sdk_enrichment = await aexa.websets.enrichments.get(
|
||||
webset_id=input_data.webset_id, id=input_data.enrichment_id
|
||||
)
|
||||
|
||||
@@ -474,7 +474,7 @@ class ExaDeleteEnrichmentBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
deleted_enrichment = aexa.websets.enrichments.delete(
|
||||
deleted_enrichment = await aexa.websets.enrichments.delete(
|
||||
webset_id=input_data.webset_id, id=input_data.enrichment_id
|
||||
)
|
||||
|
||||
@@ -525,13 +525,13 @@ class ExaCancelEnrichmentBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
canceled_enrichment = aexa.websets.enrichments.cancel(
|
||||
canceled_enrichment = await aexa.websets.enrichments.cancel(
|
||||
webset_id=input_data.webset_id, id=input_data.enrichment_id
|
||||
)
|
||||
|
||||
# Try to estimate how many items were enriched before cancellation
|
||||
items_enriched = 0
|
||||
items_response = aexa.websets.items.list(
|
||||
items_response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id, limit=100
|
||||
)
|
||||
|
||||
|
||||
@@ -222,7 +222,7 @@ class ExaCreateImportBlock(Block):
|
||||
def _create_test_mock():
|
||||
"""Create test mocks for the AsyncExa SDK."""
|
||||
from datetime import datetime
|
||||
from unittest.mock import MagicMock
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
# Create mock SDK import object
|
||||
mock_import = MagicMock()
|
||||
@@ -247,7 +247,7 @@ class ExaCreateImportBlock(Block):
|
||||
return {
|
||||
"_get_client": lambda *args, **kwargs: MagicMock(
|
||||
websets=MagicMock(
|
||||
imports=MagicMock(create=lambda *args, **kwargs: mock_import)
|
||||
imports=MagicMock(create=AsyncMock(return_value=mock_import))
|
||||
)
|
||||
)
|
||||
}
|
||||
@@ -294,7 +294,7 @@ class ExaCreateImportBlock(Block):
|
||||
if input_data.metadata:
|
||||
payload["metadata"] = input_data.metadata
|
||||
|
||||
sdk_import = aexa.websets.imports.create(
|
||||
sdk_import = await aexa.websets.imports.create(
|
||||
params=payload, csv_data=input_data.csv_data
|
||||
)
|
||||
|
||||
@@ -360,7 +360,7 @@ class ExaGetImportBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_import = aexa.websets.imports.get(import_id=input_data.import_id)
|
||||
sdk_import = await aexa.websets.imports.get(import_id=input_data.import_id)
|
||||
|
||||
import_obj = ImportModel.from_sdk(sdk_import)
|
||||
|
||||
@@ -426,7 +426,7 @@ class ExaListImportsBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
response = aexa.websets.imports.list(
|
||||
response = await aexa.websets.imports.list(
|
||||
cursor=input_data.cursor,
|
||||
limit=input_data.limit,
|
||||
)
|
||||
@@ -474,7 +474,9 @@ class ExaDeleteImportBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
deleted_import = aexa.websets.imports.delete(import_id=input_data.import_id)
|
||||
deleted_import = await aexa.websets.imports.delete(
|
||||
import_id=input_data.import_id
|
||||
)
|
||||
|
||||
yield "import_id", deleted_import.id
|
||||
yield "success", "true"
|
||||
@@ -573,14 +575,14 @@ class ExaExportWebsetBlock(Block):
|
||||
}
|
||||
)
|
||||
|
||||
# Create mock iterator
|
||||
mock_items = [mock_item1, mock_item2]
|
||||
# Create async iterator for list_all
|
||||
async def async_item_iterator(*args, **kwargs):
|
||||
for item in [mock_item1, mock_item2]:
|
||||
yield item
|
||||
|
||||
return {
|
||||
"_get_client": lambda *args, **kwargs: MagicMock(
|
||||
websets=MagicMock(
|
||||
items=MagicMock(list_all=lambda *args, **kwargs: iter(mock_items))
|
||||
)
|
||||
websets=MagicMock(items=MagicMock(list_all=async_item_iterator))
|
||||
)
|
||||
}
|
||||
|
||||
@@ -602,7 +604,7 @@ class ExaExportWebsetBlock(Block):
|
||||
webset_id=input_data.webset_id, limit=input_data.max_items
|
||||
)
|
||||
|
||||
for sdk_item in item_iterator:
|
||||
async for sdk_item in item_iterator:
|
||||
if len(all_items) >= input_data.max_items:
|
||||
break
|
||||
|
||||
|
||||
@@ -178,7 +178,7 @@ class ExaGetWebsetItemBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_item = aexa.websets.items.get(
|
||||
sdk_item = await aexa.websets.items.get(
|
||||
webset_id=input_data.webset_id, id=input_data.item_id
|
||||
)
|
||||
|
||||
@@ -269,7 +269,7 @@ class ExaListWebsetItemsBlock(Block):
|
||||
response = None
|
||||
|
||||
while time.time() - start_time < input_data.wait_timeout:
|
||||
response = aexa.websets.items.list(
|
||||
response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id,
|
||||
cursor=input_data.cursor,
|
||||
limit=input_data.limit,
|
||||
@@ -282,13 +282,13 @@ class ExaListWebsetItemsBlock(Block):
|
||||
interval = min(interval * 1.2, 10)
|
||||
|
||||
if not response:
|
||||
response = aexa.websets.items.list(
|
||||
response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id,
|
||||
cursor=input_data.cursor,
|
||||
limit=input_data.limit,
|
||||
)
|
||||
else:
|
||||
response = aexa.websets.items.list(
|
||||
response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id,
|
||||
cursor=input_data.cursor,
|
||||
limit=input_data.limit,
|
||||
@@ -340,7 +340,7 @@ class ExaDeleteWebsetItemBlock(Block):
|
||||
) -> BlockOutput:
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
deleted_item = aexa.websets.items.delete(
|
||||
deleted_item = await aexa.websets.items.delete(
|
||||
webset_id=input_data.webset_id, id=input_data.item_id
|
||||
)
|
||||
|
||||
@@ -408,7 +408,7 @@ class ExaBulkWebsetItemsBlock(Block):
|
||||
webset_id=input_data.webset_id, limit=input_data.max_items
|
||||
)
|
||||
|
||||
for sdk_item in item_iterator:
|
||||
async for sdk_item in item_iterator:
|
||||
if len(all_items) >= input_data.max_items:
|
||||
break
|
||||
|
||||
@@ -475,7 +475,7 @@ class ExaWebsetItemsSummaryBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
|
||||
entity_type = "unknown"
|
||||
if webset.searches:
|
||||
@@ -495,7 +495,7 @@ class ExaWebsetItemsSummaryBlock(Block):
|
||||
# Get sample items if requested
|
||||
sample_items: List[WebsetItemModel] = []
|
||||
if input_data.sample_size > 0:
|
||||
items_response = aexa.websets.items.list(
|
||||
items_response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id, limit=input_data.sample_size
|
||||
)
|
||||
# Convert to our stable models
|
||||
@@ -569,7 +569,7 @@ class ExaGetNewItemsBlock(Block):
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
# Get items starting from cursor
|
||||
response = aexa.websets.items.list(
|
||||
response = await aexa.websets.items.list(
|
||||
webset_id=input_data.webset_id,
|
||||
cursor=input_data.since_cursor,
|
||||
limit=input_data.max_items,
|
||||
|
||||
@@ -233,7 +233,7 @@ class ExaCreateMonitorBlock(Block):
|
||||
def _create_test_mock():
|
||||
"""Create test mocks for the AsyncExa SDK."""
|
||||
from datetime import datetime
|
||||
from unittest.mock import MagicMock
|
||||
from unittest.mock import AsyncMock, MagicMock
|
||||
|
||||
# Create mock SDK monitor object
|
||||
mock_monitor = MagicMock()
|
||||
@@ -263,7 +263,7 @@ class ExaCreateMonitorBlock(Block):
|
||||
return {
|
||||
"_get_client": lambda *args, **kwargs: MagicMock(
|
||||
websets=MagicMock(
|
||||
monitors=MagicMock(create=lambda *args, **kwargs: mock_monitor)
|
||||
monitors=MagicMock(create=AsyncMock(return_value=mock_monitor))
|
||||
)
|
||||
)
|
||||
}
|
||||
@@ -320,7 +320,7 @@ class ExaCreateMonitorBlock(Block):
|
||||
if input_data.metadata:
|
||||
payload["metadata"] = input_data.metadata
|
||||
|
||||
sdk_monitor = aexa.websets.monitors.create(params=payload)
|
||||
sdk_monitor = await aexa.websets.monitors.create(params=payload)
|
||||
|
||||
monitor = MonitorModel.from_sdk(sdk_monitor)
|
||||
|
||||
@@ -384,7 +384,7 @@ class ExaGetMonitorBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_monitor = aexa.websets.monitors.get(monitor_id=input_data.monitor_id)
|
||||
sdk_monitor = await aexa.websets.monitors.get(monitor_id=input_data.monitor_id)
|
||||
|
||||
monitor = MonitorModel.from_sdk(sdk_monitor)
|
||||
|
||||
@@ -476,7 +476,7 @@ class ExaUpdateMonitorBlock(Block):
|
||||
if input_data.metadata is not None:
|
||||
payload["metadata"] = input_data.metadata
|
||||
|
||||
sdk_monitor = aexa.websets.monitors.update(
|
||||
sdk_monitor = await aexa.websets.monitors.update(
|
||||
monitor_id=input_data.monitor_id, params=payload
|
||||
)
|
||||
|
||||
@@ -522,7 +522,9 @@ class ExaDeleteMonitorBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
deleted_monitor = aexa.websets.monitors.delete(monitor_id=input_data.monitor_id)
|
||||
deleted_monitor = await aexa.websets.monitors.delete(
|
||||
monitor_id=input_data.monitor_id
|
||||
)
|
||||
|
||||
yield "monitor_id", deleted_monitor.id
|
||||
yield "success", "true"
|
||||
@@ -579,7 +581,7 @@ class ExaListMonitorsBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
response = aexa.websets.monitors.list(
|
||||
response = await aexa.websets.monitors.list(
|
||||
cursor=input_data.cursor,
|
||||
limit=input_data.limit,
|
||||
webset_id=input_data.webset_id,
|
||||
|
||||
@@ -121,7 +121,7 @@ class ExaWaitForWebsetBlock(Block):
|
||||
WebsetTargetStatus.IDLE,
|
||||
WebsetTargetStatus.ANY_COMPLETE,
|
||||
]:
|
||||
final_webset = aexa.websets.wait_until_idle(
|
||||
final_webset = await aexa.websets.wait_until_idle(
|
||||
id=input_data.webset_id,
|
||||
timeout=input_data.timeout,
|
||||
poll_interval=input_data.check_interval,
|
||||
@@ -164,7 +164,7 @@ class ExaWaitForWebsetBlock(Block):
|
||||
interval = input_data.check_interval
|
||||
while time.time() - start_time < input_data.timeout:
|
||||
# Get current webset status
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
current_status = (
|
||||
webset.status.value
|
||||
if hasattr(webset.status, "value")
|
||||
@@ -209,7 +209,7 @@ class ExaWaitForWebsetBlock(Block):
|
||||
|
||||
# Timeout reached
|
||||
elapsed = time.time() - start_time
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
final_status = (
|
||||
webset.status.value
|
||||
if hasattr(webset.status, "value")
|
||||
@@ -345,7 +345,7 @@ class ExaWaitForSearchBlock(Block):
|
||||
try:
|
||||
while time.time() - start_time < input_data.timeout:
|
||||
# Get current search status using SDK
|
||||
search = aexa.websets.searches.get(
|
||||
search = await aexa.websets.searches.get(
|
||||
webset_id=input_data.webset_id, id=input_data.search_id
|
||||
)
|
||||
|
||||
@@ -401,7 +401,7 @@ class ExaWaitForSearchBlock(Block):
|
||||
elapsed = time.time() - start_time
|
||||
|
||||
# Get last known status
|
||||
search = aexa.websets.searches.get(
|
||||
search = await aexa.websets.searches.get(
|
||||
webset_id=input_data.webset_id, id=input_data.search_id
|
||||
)
|
||||
final_status = (
|
||||
@@ -503,7 +503,7 @@ class ExaWaitForEnrichmentBlock(Block):
|
||||
try:
|
||||
while time.time() - start_time < input_data.timeout:
|
||||
# Get current enrichment status using SDK
|
||||
enrichment = aexa.websets.enrichments.get(
|
||||
enrichment = await aexa.websets.enrichments.get(
|
||||
webset_id=input_data.webset_id, id=input_data.enrichment_id
|
||||
)
|
||||
|
||||
@@ -548,7 +548,7 @@ class ExaWaitForEnrichmentBlock(Block):
|
||||
elapsed = time.time() - start_time
|
||||
|
||||
# Get last known status
|
||||
enrichment = aexa.websets.enrichments.get(
|
||||
enrichment = await aexa.websets.enrichments.get(
|
||||
webset_id=input_data.webset_id, id=input_data.enrichment_id
|
||||
)
|
||||
final_status = (
|
||||
@@ -575,7 +575,7 @@ class ExaWaitForEnrichmentBlock(Block):
|
||||
) -> tuple[list[SampleEnrichmentModel], int]:
|
||||
"""Get sample enriched data and count."""
|
||||
# Get a few items to see enrichment results using SDK
|
||||
response = aexa.websets.items.list(webset_id=webset_id, limit=5)
|
||||
response = await aexa.websets.items.list(webset_id=webset_id, limit=5)
|
||||
|
||||
sample_data: list[SampleEnrichmentModel] = []
|
||||
enriched_count = 0
|
||||
|
||||
@@ -317,7 +317,7 @@ class ExaCreateWebsetSearchBlock(Block):
|
||||
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_search = aexa.websets.searches.create(
|
||||
sdk_search = await aexa.websets.searches.create(
|
||||
webset_id=input_data.webset_id, params=payload
|
||||
)
|
||||
|
||||
@@ -350,7 +350,7 @@ class ExaCreateWebsetSearchBlock(Block):
|
||||
poll_start = time.time()
|
||||
|
||||
while time.time() - poll_start < input_data.polling_timeout:
|
||||
current_search = aexa.websets.searches.get(
|
||||
current_search = await aexa.websets.searches.get(
|
||||
webset_id=input_data.webset_id, id=search_id
|
||||
)
|
||||
current_status = (
|
||||
@@ -442,7 +442,7 @@ class ExaGetWebsetSearchBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
sdk_search = aexa.websets.searches.get(
|
||||
sdk_search = await aexa.websets.searches.get(
|
||||
webset_id=input_data.webset_id, id=input_data.search_id
|
||||
)
|
||||
|
||||
@@ -523,7 +523,7 @@ class ExaCancelWebsetSearchBlock(Block):
|
||||
# Use AsyncExa SDK
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
canceled_search = aexa.websets.searches.cancel(
|
||||
canceled_search = await aexa.websets.searches.cancel(
|
||||
webset_id=input_data.webset_id, id=input_data.search_id
|
||||
)
|
||||
|
||||
@@ -604,7 +604,7 @@ class ExaFindOrCreateSearchBlock(Block):
|
||||
aexa = AsyncExa(api_key=credentials.api_key.get_secret_value())
|
||||
|
||||
# Get webset to check existing searches
|
||||
webset = aexa.websets.get(id=input_data.webset_id)
|
||||
webset = await aexa.websets.get(id=input_data.webset_id)
|
||||
|
||||
# Look for existing search with same query
|
||||
existing_search = None
|
||||
@@ -636,7 +636,7 @@ class ExaFindOrCreateSearchBlock(Block):
|
||||
if input_data.entity_type != SearchEntityType.AUTO:
|
||||
payload["entity"] = {"type": input_data.entity_type.value}
|
||||
|
||||
sdk_search = aexa.websets.searches.create(
|
||||
sdk_search = await aexa.websets.searches.create(
|
||||
webset_id=input_data.webset_id, params=payload
|
||||
)
|
||||
|
||||
|
||||
@@ -596,10 +596,10 @@ def extract_openai_tool_calls(response) -> list[ToolContentBlock] | None:
|
||||
|
||||
def get_parallel_tool_calls_param(
|
||||
llm_model: LlmModel, parallel_tool_calls: bool | None
|
||||
):
|
||||
) -> bool | openai.Omit:
|
||||
"""Get the appropriate parallel_tool_calls parameter for OpenAI-compatible APIs."""
|
||||
if llm_model.startswith("o") or parallel_tool_calls is None:
|
||||
return openai.NOT_GIVEN
|
||||
return openai.omit
|
||||
return parallel_tool_calls
|
||||
|
||||
|
||||
|
||||
@@ -246,7 +246,9 @@ class BlockSchema(BaseModel):
|
||||
f"is not of type {CredentialsMetaInput.__name__}"
|
||||
)
|
||||
|
||||
credentials_fields[field_name].validate_credentials_field_schema(cls)
|
||||
CredentialsMetaInput.validate_credentials_field_schema(
|
||||
cls.get_field_schema(field_name), field_name
|
||||
)
|
||||
|
||||
elif field_name in credentials_fields:
|
||||
raise KeyError(
|
||||
|
||||
@@ -3,7 +3,7 @@ import logging
|
||||
import uuid
|
||||
from collections import defaultdict
|
||||
from datetime import datetime, timezone
|
||||
from typing import TYPE_CHECKING, Annotated, Any, Literal, Optional, cast
|
||||
from typing import TYPE_CHECKING, Annotated, Any, Literal, Optional, Self, cast
|
||||
|
||||
from prisma.enums import SubmissionStatus
|
||||
from prisma.models import (
|
||||
@@ -20,7 +20,7 @@ from prisma.types import (
|
||||
AgentNodeLinkCreateInput,
|
||||
StoreListingVersionWhereInput,
|
||||
)
|
||||
from pydantic import BaseModel, BeforeValidator, Field, create_model
|
||||
from pydantic import BaseModel, BeforeValidator, Field
|
||||
from pydantic.fields import computed_field
|
||||
|
||||
from backend.blocks.agent import AgentExecutorBlock
|
||||
@@ -30,7 +30,6 @@ from backend.data.db import prisma as db
|
||||
from backend.data.dynamic_fields import is_tool_pin, sanitize_pin_name
|
||||
from backend.data.includes import MAX_GRAPH_VERSIONS_FETCH
|
||||
from backend.data.model import (
|
||||
CredentialsField,
|
||||
CredentialsFieldInfo,
|
||||
CredentialsMetaInput,
|
||||
is_credentials_field_name,
|
||||
@@ -45,7 +44,6 @@ from .block import (
|
||||
AnyBlockSchema,
|
||||
Block,
|
||||
BlockInput,
|
||||
BlockSchema,
|
||||
BlockType,
|
||||
EmptySchema,
|
||||
get_block,
|
||||
@@ -113,10 +111,12 @@ class Link(BaseDbModel):
|
||||
|
||||
class Node(BaseDbModel):
|
||||
block_id: str
|
||||
input_default: BlockInput = {} # dict[input_name, default_value]
|
||||
metadata: dict[str, Any] = {}
|
||||
input_links: list[Link] = []
|
||||
output_links: list[Link] = []
|
||||
input_default: BlockInput = Field( # dict[input_name, default_value]
|
||||
default_factory=dict
|
||||
)
|
||||
metadata: dict[str, Any] = Field(default_factory=dict)
|
||||
input_links: list[Link] = Field(default_factory=list)
|
||||
output_links: list[Link] = Field(default_factory=list)
|
||||
|
||||
@property
|
||||
def credentials_optional(self) -> bool:
|
||||
@@ -221,18 +221,33 @@ class NodeModel(Node):
|
||||
return result
|
||||
|
||||
|
||||
class BaseGraph(BaseDbModel):
|
||||
class GraphBaseMeta(BaseDbModel):
|
||||
"""
|
||||
Shared base for `GraphMeta` and `BaseGraph`, with core graph metadata fields.
|
||||
"""
|
||||
|
||||
version: int = 1
|
||||
is_active: bool = True
|
||||
name: str
|
||||
description: str
|
||||
instructions: str | None = None
|
||||
recommended_schedule_cron: str | None = None
|
||||
nodes: list[Node] = []
|
||||
links: list[Link] = []
|
||||
forked_from_id: str | None = None
|
||||
forked_from_version: int | None = None
|
||||
|
||||
|
||||
class BaseGraph(GraphBaseMeta):
|
||||
"""
|
||||
Graph with nodes, links, and computed I/O schema fields.
|
||||
|
||||
Used to represent sub-graphs within a `Graph`. Contains the full graph
|
||||
structure including nodes and links, plus computed fields for schemas
|
||||
and trigger info. Does NOT include user_id or created_at (see GraphModel).
|
||||
"""
|
||||
|
||||
nodes: list[Node] = Field(default_factory=list)
|
||||
links: list[Link] = Field(default_factory=list)
|
||||
|
||||
@computed_field
|
||||
@property
|
||||
def input_schema(self) -> dict[str, Any]:
|
||||
@@ -361,44 +376,79 @@ class GraphTriggerInfo(BaseModel):
|
||||
|
||||
|
||||
class Graph(BaseGraph):
|
||||
sub_graphs: list[BaseGraph] = [] # Flattened sub-graphs
|
||||
"""Creatable graph model used in API create/update endpoints."""
|
||||
|
||||
sub_graphs: list[BaseGraph] = Field(default_factory=list) # Flattened sub-graphs
|
||||
|
||||
|
||||
class GraphMeta(GraphBaseMeta):
|
||||
"""
|
||||
Lightweight graph metadata model representing an existing graph from the database,
|
||||
for use in listings and summaries.
|
||||
|
||||
Lacks `GraphModel`'s nodes, links, and expensive computed fields.
|
||||
Use for list endpoints where full graph data is not needed and performance matters.
|
||||
"""
|
||||
|
||||
id: str # type: ignore
|
||||
version: int # type: ignore
|
||||
user_id: str
|
||||
created_at: datetime
|
||||
|
||||
@classmethod
|
||||
def from_db(cls, graph: "AgentGraph") -> Self:
|
||||
return cls(
|
||||
id=graph.id,
|
||||
version=graph.version,
|
||||
is_active=graph.isActive,
|
||||
name=graph.name or "",
|
||||
description=graph.description or "",
|
||||
instructions=graph.instructions,
|
||||
recommended_schedule_cron=graph.recommendedScheduleCron,
|
||||
forked_from_id=graph.forkedFromId,
|
||||
forked_from_version=graph.forkedFromVersion,
|
||||
user_id=graph.userId,
|
||||
created_at=graph.createdAt,
|
||||
)
|
||||
|
||||
|
||||
class GraphModel(Graph, GraphMeta):
|
||||
"""
|
||||
Full graph model representing an existing graph from the database.
|
||||
|
||||
This is the primary model for working with persisted graphs. Includes all
|
||||
graph data (nodes, links, sub_graphs) plus user ownership and timestamps.
|
||||
Provides computed fields (input_schema, output_schema, etc.) used during
|
||||
set-up (frontend) and execution (backend).
|
||||
|
||||
Inherits from:
|
||||
- `Graph`: provides structure (nodes, links, sub_graphs) and computed schemas
|
||||
- `GraphMeta`: provides user_id, created_at for database records
|
||||
"""
|
||||
|
||||
nodes: list[NodeModel] = Field(default_factory=list) # type: ignore
|
||||
|
||||
@property
|
||||
def starting_nodes(self) -> list[NodeModel]:
|
||||
outbound_nodes = {link.sink_id for link in self.links}
|
||||
input_nodes = {
|
||||
node.id for node in self.nodes if node.block.block_type == BlockType.INPUT
|
||||
}
|
||||
return [
|
||||
node
|
||||
for node in self.nodes
|
||||
if node.id not in outbound_nodes or node.id in input_nodes
|
||||
]
|
||||
|
||||
@property
|
||||
def webhook_input_node(self) -> NodeModel | None: # type: ignore
|
||||
return cast(NodeModel, super().webhook_input_node)
|
||||
|
||||
@computed_field
|
||||
@property
|
||||
def credentials_input_schema(self) -> dict[str, Any]:
|
||||
schema = self._credentials_input_schema.jsonschema()
|
||||
|
||||
# Determine which credential fields are required based on credentials_optional metadata
|
||||
graph_credentials_inputs = self.aggregate_credentials_inputs()
|
||||
required_fields = []
|
||||
|
||||
# Build a map of node_id -> node for quick lookup
|
||||
all_nodes = {node.id: node for node in self.nodes}
|
||||
for sub_graph in self.sub_graphs:
|
||||
for node in sub_graph.nodes:
|
||||
all_nodes[node.id] = node
|
||||
|
||||
for field_key, (
|
||||
_field_info,
|
||||
node_field_pairs,
|
||||
) in graph_credentials_inputs.items():
|
||||
# A field is required if ANY node using it has credentials_optional=False
|
||||
is_required = False
|
||||
for node_id, _field_name in node_field_pairs:
|
||||
node = all_nodes.get(node_id)
|
||||
if node and not node.credentials_optional:
|
||||
is_required = True
|
||||
break
|
||||
|
||||
if is_required:
|
||||
required_fields.append(field_key)
|
||||
|
||||
schema["required"] = required_fields
|
||||
return schema
|
||||
|
||||
@property
|
||||
def _credentials_input_schema(self) -> type[BlockSchema]:
|
||||
graph_credentials_inputs = self.aggregate_credentials_inputs()
|
||||
logger.debug(
|
||||
f"Combined credentials input fields for graph #{self.id} ({self.name}): "
|
||||
f"{graph_credentials_inputs}"
|
||||
@@ -406,8 +456,8 @@ class Graph(BaseGraph):
|
||||
|
||||
# Warn if same-provider credentials inputs can't be combined (= bad UX)
|
||||
graph_cred_fields = list(graph_credentials_inputs.values())
|
||||
for i, (field, keys) in enumerate(graph_cred_fields):
|
||||
for other_field, other_keys in list(graph_cred_fields)[i + 1 :]:
|
||||
for i, (field, keys, _) in enumerate(graph_cred_fields):
|
||||
for other_field, other_keys, _ in list(graph_cred_fields)[i + 1 :]:
|
||||
if field.provider != other_field.provider:
|
||||
continue
|
||||
if ProviderName.HTTP in field.provider:
|
||||
@@ -423,31 +473,78 @@ class Graph(BaseGraph):
|
||||
f"keys: {keys} <> {other_keys}."
|
||||
)
|
||||
|
||||
fields: dict[str, tuple[type[CredentialsMetaInput], CredentialsMetaInput]] = {
|
||||
agg_field_key: (
|
||||
CredentialsMetaInput[
|
||||
Literal[tuple(field_info.provider)], # type: ignore
|
||||
Literal[tuple(field_info.supported_types)], # type: ignore
|
||||
],
|
||||
CredentialsField(
|
||||
required_scopes=set(field_info.required_scopes or []),
|
||||
discriminator=field_info.discriminator,
|
||||
discriminator_mapping=field_info.discriminator_mapping,
|
||||
discriminator_values=field_info.discriminator_values,
|
||||
),
|
||||
)
|
||||
for agg_field_key, (field_info, _) in graph_credentials_inputs.items()
|
||||
}
|
||||
# Build JSON schema directly to avoid expensive create_model + validation overhead
|
||||
properties = {}
|
||||
required_fields = []
|
||||
|
||||
return create_model(
|
||||
self.name.replace(" ", "") + "CredentialsInputSchema",
|
||||
__base__=BlockSchema,
|
||||
**fields, # type: ignore
|
||||
)
|
||||
for agg_field_key, (
|
||||
field_info,
|
||||
_,
|
||||
is_required,
|
||||
) in graph_credentials_inputs.items():
|
||||
providers = list(field_info.provider)
|
||||
cred_types = list(field_info.supported_types)
|
||||
|
||||
field_schema: dict[str, Any] = {
|
||||
"credentials_provider": providers,
|
||||
"credentials_types": cred_types,
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"id": {"title": "Id", "type": "string"},
|
||||
"title": {
|
||||
"anyOf": [{"type": "string"}, {"type": "null"}],
|
||||
"default": None,
|
||||
"title": "Title",
|
||||
},
|
||||
"provider": {
|
||||
"title": "Provider",
|
||||
"type": "string",
|
||||
**(
|
||||
{"enum": providers}
|
||||
if len(providers) > 1
|
||||
else {"const": providers[0]}
|
||||
),
|
||||
},
|
||||
"type": {
|
||||
"title": "Type",
|
||||
"type": "string",
|
||||
**(
|
||||
{"enum": cred_types}
|
||||
if len(cred_types) > 1
|
||||
else {"const": cred_types[0]}
|
||||
),
|
||||
},
|
||||
},
|
||||
"required": ["id", "provider", "type"],
|
||||
}
|
||||
|
||||
# Add other (optional) field info items
|
||||
field_schema.update(
|
||||
field_info.model_dump(
|
||||
by_alias=True,
|
||||
exclude_defaults=True,
|
||||
exclude={"provider", "supported_types"}, # already included above
|
||||
)
|
||||
)
|
||||
|
||||
# Ensure field schema is well-formed
|
||||
CredentialsMetaInput.validate_credentials_field_schema(
|
||||
field_schema, agg_field_key
|
||||
)
|
||||
|
||||
properties[agg_field_key] = field_schema
|
||||
if is_required:
|
||||
required_fields.append(agg_field_key)
|
||||
|
||||
return {
|
||||
"type": "object",
|
||||
"properties": properties,
|
||||
"required": required_fields,
|
||||
}
|
||||
|
||||
def aggregate_credentials_inputs(
|
||||
self,
|
||||
) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]]]]:
|
||||
) -> dict[str, tuple[CredentialsFieldInfo, set[tuple[str, str]], bool]]:
|
||||
"""
|
||||
Returns:
|
||||
dict[aggregated_field_key, tuple(
|
||||
@@ -455,13 +552,19 @@ class Graph(BaseGraph):
|
||||
(now includes discriminator_values from matching nodes)
|
||||
set[(node_id, field_name)]: Node credentials fields that are
|
||||
compatible with this aggregated field spec
|
||||
bool: True if the field is required (any node has credentials_optional=False)
|
||||
)]
|
||||
"""
|
||||
# First collect all credential field data with input defaults
|
||||
node_credential_data = []
|
||||
# Track (field_info, (node_id, field_name), is_required) for each credential field
|
||||
node_credential_data: list[tuple[CredentialsFieldInfo, tuple[str, str]]] = []
|
||||
node_required_map: dict[str, bool] = {} # node_id -> is_required
|
||||
|
||||
for graph in [self] + self.sub_graphs:
|
||||
for node in graph.nodes:
|
||||
# Track if this node requires credentials (credentials_optional=False means required)
|
||||
node_required_map[node.id] = not node.credentials_optional
|
||||
|
||||
for (
|
||||
field_name,
|
||||
field_info,
|
||||
@@ -485,37 +588,21 @@ class Graph(BaseGraph):
|
||||
)
|
||||
|
||||
# Combine credential field info (this will merge discriminator_values automatically)
|
||||
return CredentialsFieldInfo.combine(*node_credential_data)
|
||||
combined = CredentialsFieldInfo.combine(*node_credential_data)
|
||||
|
||||
|
||||
class GraphModel(Graph):
|
||||
user_id: str
|
||||
nodes: list[NodeModel] = [] # type: ignore
|
||||
|
||||
created_at: datetime
|
||||
|
||||
@property
|
||||
def starting_nodes(self) -> list[NodeModel]:
|
||||
outbound_nodes = {link.sink_id for link in self.links}
|
||||
input_nodes = {
|
||||
node.id for node in self.nodes if node.block.block_type == BlockType.INPUT
|
||||
# Add is_required flag to each aggregated field
|
||||
# A field is required if ANY node using it has credentials_optional=False
|
||||
return {
|
||||
key: (
|
||||
field_info,
|
||||
node_field_pairs,
|
||||
any(
|
||||
node_required_map.get(node_id, True)
|
||||
for node_id, _ in node_field_pairs
|
||||
),
|
||||
)
|
||||
for key, (field_info, node_field_pairs) in combined.items()
|
||||
}
|
||||
return [
|
||||
node
|
||||
for node in self.nodes
|
||||
if node.id not in outbound_nodes or node.id in input_nodes
|
||||
]
|
||||
|
||||
@property
|
||||
def webhook_input_node(self) -> NodeModel | None: # type: ignore
|
||||
return cast(NodeModel, super().webhook_input_node)
|
||||
|
||||
def meta(self) -> "GraphMeta":
|
||||
"""
|
||||
Returns a GraphMeta object with metadata about the graph.
|
||||
This is used to return metadata about the graph without exposing nodes and links.
|
||||
"""
|
||||
return GraphMeta.from_graph(self)
|
||||
|
||||
def reassign_ids(self, user_id: str, reassign_graph_id: bool = False):
|
||||
"""
|
||||
@@ -799,13 +886,14 @@ class GraphModel(Graph):
|
||||
if is_static_output_block(link.source_id):
|
||||
link.is_static = True # Each value block output should be static.
|
||||
|
||||
@staticmethod
|
||||
def from_db(
|
||||
@classmethod
|
||||
def from_db( # type: ignore[reportIncompatibleMethodOverride]
|
||||
cls,
|
||||
graph: AgentGraph,
|
||||
for_export: bool = False,
|
||||
sub_graphs: list[AgentGraph] | None = None,
|
||||
) -> "GraphModel":
|
||||
return GraphModel(
|
||||
) -> Self:
|
||||
return cls(
|
||||
id=graph.id,
|
||||
user_id=graph.userId if not for_export else "",
|
||||
version=graph.version,
|
||||
@@ -831,17 +919,28 @@ class GraphModel(Graph):
|
||||
],
|
||||
)
|
||||
|
||||
def hide_nodes(self) -> "GraphModelWithoutNodes":
|
||||
"""
|
||||
Returns a copy of the `GraphModel` with nodes, links, and sub-graphs hidden
|
||||
(excluded from serialization). They are still present in the model instance
|
||||
so all computed fields (e.g. `credentials_input_schema`) still work.
|
||||
"""
|
||||
return GraphModelWithoutNodes.model_validate(self, from_attributes=True)
|
||||
|
||||
class GraphMeta(Graph):
|
||||
user_id: str
|
||||
|
||||
# Easy work-around to prevent exposing nodes and links in the API response
|
||||
nodes: list[NodeModel] = Field(default=[], exclude=True) # type: ignore
|
||||
links: list[Link] = Field(default=[], exclude=True)
|
||||
class GraphModelWithoutNodes(GraphModel):
|
||||
"""
|
||||
GraphModel variant that excludes nodes, links, and sub-graphs from serialization.
|
||||
|
||||
@staticmethod
|
||||
def from_graph(graph: GraphModel) -> "GraphMeta":
|
||||
return GraphMeta(**graph.model_dump())
|
||||
Used in contexts like the store where exposing internal graph structure
|
||||
is not desired. Inherits all computed fields from GraphModel but marks
|
||||
nodes and links as excluded from JSON output.
|
||||
"""
|
||||
|
||||
nodes: list[NodeModel] = Field(default_factory=list, exclude=True)
|
||||
links: list[Link] = Field(default_factory=list, exclude=True)
|
||||
|
||||
sub_graphs: list[BaseGraph] = Field(default_factory=list, exclude=True)
|
||||
|
||||
|
||||
class GraphsPaginated(BaseModel):
|
||||
@@ -912,21 +1011,11 @@ async def list_graphs_paginated(
|
||||
where=where_clause,
|
||||
distinct=["id"],
|
||||
order={"version": "desc"},
|
||||
include=AGENT_GRAPH_INCLUDE,
|
||||
skip=offset,
|
||||
take=page_size,
|
||||
)
|
||||
|
||||
graph_models: list[GraphMeta] = []
|
||||
for graph in graphs:
|
||||
try:
|
||||
graph_meta = GraphModel.from_db(graph).meta()
|
||||
# Trigger serialization to validate that the graph is well formed
|
||||
graph_meta.model_dump()
|
||||
graph_models.append(graph_meta)
|
||||
except Exception as e:
|
||||
logger.error(f"Error processing graph {graph.id}: {e}")
|
||||
continue
|
||||
graph_models = [GraphMeta.from_db(graph) for graph in graphs]
|
||||
|
||||
return GraphsPaginated(
|
||||
graphs=graph_models,
|
||||
|
||||
@@ -163,7 +163,6 @@ class User(BaseModel):
|
||||
if TYPE_CHECKING:
|
||||
from prisma.models import User as PrismaUser
|
||||
|
||||
from backend.data.block import BlockSchema
|
||||
|
||||
T = TypeVar("T")
|
||||
logger = logging.getLogger(__name__)
|
||||
@@ -508,15 +507,13 @@ class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
|
||||
def allowed_cred_types(cls) -> tuple[CredentialsType, ...]:
|
||||
return get_args(cls.model_fields["type"].annotation)
|
||||
|
||||
@classmethod
|
||||
def validate_credentials_field_schema(cls, model: type["BlockSchema"]):
|
||||
@staticmethod
|
||||
def validate_credentials_field_schema(
|
||||
field_schema: dict[str, Any], field_name: str
|
||||
):
|
||||
"""Validates the schema of a credentials input field"""
|
||||
field_name = next(
|
||||
name for name, type in model.get_credentials_fields().items() if type is cls
|
||||
)
|
||||
field_schema = model.jsonschema()["properties"][field_name]
|
||||
try:
|
||||
schema_extra = CredentialsFieldInfo[CP, CT].model_validate(field_schema)
|
||||
field_info = CredentialsFieldInfo[CP, CT].model_validate(field_schema)
|
||||
except ValidationError as e:
|
||||
if "Field required [type=missing" not in str(e):
|
||||
raise
|
||||
@@ -526,11 +523,11 @@ class CredentialsMetaInput(BaseModel, Generic[CP, CT]):
|
||||
f"{field_schema}"
|
||||
) from e
|
||||
|
||||
providers = cls.allowed_providers()
|
||||
providers = field_info.provider
|
||||
if (
|
||||
providers is not None
|
||||
and len(providers) > 1
|
||||
and not schema_extra.discriminator
|
||||
and not field_info.discriminator
|
||||
):
|
||||
raise TypeError(
|
||||
f"Multi-provider CredentialsField '{field_name}' "
|
||||
|
||||
@@ -373,7 +373,7 @@ def make_node_credentials_input_map(
|
||||
# Get aggregated credentials fields for the graph
|
||||
graph_cred_inputs = graph.aggregate_credentials_inputs()
|
||||
|
||||
for graph_input_name, (_, compatible_node_fields) in graph_cred_inputs.items():
|
||||
for graph_input_name, (_, compatible_node_fields, _) in graph_cred_inputs.items():
|
||||
# Best-effort map: skip missing items
|
||||
if graph_input_name not in graph_credentials_input:
|
||||
continue
|
||||
|
||||
6845
autogpt_platform/backend/poetry.lock
generated
6845
autogpt_platform/backend/poetry.lock
generated
File diff suppressed because it is too large
Load Diff
@@ -21,7 +21,7 @@ cryptography = "^45.0"
|
||||
discord-py = "^2.5.2"
|
||||
e2b-code-interpreter = "^1.5.2"
|
||||
elevenlabs = "^1.50.0"
|
||||
fastapi = "^0.116.1"
|
||||
fastapi = "^0.128.0"
|
||||
feedparser = "^6.0.11"
|
||||
flake8 = "^7.3.0"
|
||||
google-api-python-client = "^2.177.0"
|
||||
@@ -35,7 +35,7 @@ jinja2 = "^3.1.6"
|
||||
jsonref = "^1.1.0"
|
||||
jsonschema = "^4.25.0"
|
||||
langfuse = "^3.11.0"
|
||||
launchdarkly-server-sdk = "^9.12.0"
|
||||
launchdarkly-server-sdk = "^9.14.1"
|
||||
mem0ai = "^0.1.115"
|
||||
moviepy = "^2.1.2"
|
||||
ollama = "^0.5.1"
|
||||
@@ -52,8 +52,8 @@ prometheus-client = "^0.22.1"
|
||||
prometheus-fastapi-instrumentator = "^7.0.0"
|
||||
psutil = "^7.0.0"
|
||||
psycopg2-binary = "^2.9.10"
|
||||
pydantic = { extras = ["email"], version = "^2.11.7" }
|
||||
pydantic-settings = "^2.10.1"
|
||||
pydantic = { extras = ["email"], version = "^2.12.5" }
|
||||
pydantic-settings = "^2.12.0"
|
||||
pytest = "^8.4.1"
|
||||
pytest-asyncio = "^1.1.0"
|
||||
python-dotenv = "^1.1.1"
|
||||
@@ -65,11 +65,11 @@ sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlal
|
||||
sqlalchemy = "^2.0.40"
|
||||
strenum = "^0.4.9"
|
||||
stripe = "^11.5.0"
|
||||
supabase = "2.17.0"
|
||||
supabase = "2.27.2"
|
||||
tenacity = "^9.1.2"
|
||||
todoist-api-python = "^2.1.7"
|
||||
tweepy = "^4.16.0"
|
||||
uvicorn = { extras = ["standard"], version = "^0.35.0" }
|
||||
uvicorn = { extras = ["standard"], version = "^0.40.0" }
|
||||
websockets = "^15.0"
|
||||
youtube-transcript-api = "^1.2.1"
|
||||
yt-dlp = "2025.12.08"
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
"credentials_input_schema": {
|
||||
"properties": {},
|
||||
"required": [],
|
||||
"title": "TestGraphCredentialsInputSchema",
|
||||
"type": "object"
|
||||
},
|
||||
"description": "A test graph",
|
||||
|
||||
@@ -1,34 +1,14 @@
|
||||
[
|
||||
{
|
||||
"credentials_input_schema": {
|
||||
"properties": {},
|
||||
"required": [],
|
||||
"title": "TestGraphCredentialsInputSchema",
|
||||
"type": "object"
|
||||
},
|
||||
"created_at": "2025-09-04T13:37:00",
|
||||
"description": "A test graph",
|
||||
"forked_from_id": null,
|
||||
"forked_from_version": null,
|
||||
"has_external_trigger": false,
|
||||
"has_human_in_the_loop": false,
|
||||
"has_sensitive_action": false,
|
||||
"id": "graph-123",
|
||||
"input_schema": {
|
||||
"properties": {},
|
||||
"required": [],
|
||||
"type": "object"
|
||||
},
|
||||
"instructions": null,
|
||||
"is_active": true,
|
||||
"name": "Test Graph",
|
||||
"output_schema": {
|
||||
"properties": {},
|
||||
"required": [],
|
||||
"type": "object"
|
||||
},
|
||||
"recommended_schedule_cron": null,
|
||||
"sub_graphs": [],
|
||||
"trigger_setup_info": null,
|
||||
"user_id": "3e53486c-cf57-477e-ba2a-cb02dc828e1a",
|
||||
"version": 1
|
||||
}
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { CredentialsMetaInput } from "@/app/api/__generated__/models/credentialsMetaInput";
|
||||
import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
|
||||
import { GraphModel } from "@/app/api/__generated__/models/graphModel";
|
||||
import { CredentialsInput } from "@/components/contextual/CredentialsInput/CredentialsInput";
|
||||
import { useState } from "react";
|
||||
import { getSchemaDefaultCredentials } from "../../helpers";
|
||||
@@ -9,7 +9,7 @@ type Credential = CredentialsMetaInput | undefined;
|
||||
type Credentials = Record<string, Credential>;
|
||||
|
||||
type Props = {
|
||||
agent: GraphMeta | null;
|
||||
agent: GraphModel | null;
|
||||
siblingInputs?: Record<string, any>;
|
||||
onCredentialsChange: (
|
||||
credentials: Record<string, CredentialsMetaInput>,
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
import { CredentialsMetaInput } from "@/app/api/__generated__/models/credentialsMetaInput";
|
||||
import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
|
||||
import { GraphModel } from "@/app/api/__generated__/models/graphModel";
|
||||
import { BlockIOCredentialsSubSchema } from "@/lib/autogpt-server-api/types";
|
||||
|
||||
export function getCredentialFields(
|
||||
agent: GraphMeta | null,
|
||||
agent: GraphModel | null,
|
||||
): AgentCredentialsFields {
|
||||
if (!agent) return {};
|
||||
|
||||
|
||||
@@ -3,10 +3,10 @@ import type {
|
||||
CredentialsMetaInput,
|
||||
} from "@/lib/autogpt-server-api/types";
|
||||
import type { InputValues } from "./types";
|
||||
import { GraphMeta } from "@/app/api/__generated__/models/graphMeta";
|
||||
import { GraphModel } from "@/app/api/__generated__/models/graphModel";
|
||||
|
||||
export function computeInitialAgentInputs(
|
||||
agent: GraphMeta | null,
|
||||
agent: GraphModel | null,
|
||||
existingInputs?: InputValues | null,
|
||||
): InputValues {
|
||||
const properties = agent?.input_schema?.properties || {};
|
||||
@@ -29,7 +29,7 @@ export function computeInitialAgentInputs(
|
||||
}
|
||||
|
||||
type IsRunDisabledParams = {
|
||||
agent: GraphMeta | null;
|
||||
agent: GraphModel | null;
|
||||
isRunning: boolean;
|
||||
agentInputs: InputValues | null | undefined;
|
||||
};
|
||||
|
||||
@@ -30,6 +30,8 @@ import {
|
||||
} from "@/components/atoms/Tooltip/BaseTooltip";
|
||||
import { GraphMeta } from "@/lib/autogpt-server-api";
|
||||
import jaro from "jaro-winkler";
|
||||
import { getV1GetSpecificGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
|
||||
import { okData } from "@/app/api/helpers";
|
||||
|
||||
type _Block = Omit<Block, "inputSchema" | "outputSchema"> & {
|
||||
uiKey?: string;
|
||||
@@ -107,6 +109,8 @@ export function BlocksControl({
|
||||
.filter((b) => b.uiType !== BlockUIType.AGENT)
|
||||
.sort((a, b) => a.name.localeCompare(b.name));
|
||||
|
||||
// Agent blocks are created from GraphMeta which doesn't include schemas.
|
||||
// Schemas will be fetched on-demand when the block is actually added.
|
||||
const agentBlockList = flows
|
||||
.map((flow): _Block => {
|
||||
return {
|
||||
@@ -116,8 +120,9 @@ export function BlocksControl({
|
||||
`Ver.${flow.version}` +
|
||||
(flow.description ? ` | ${flow.description}` : ""),
|
||||
categories: [{ category: "AGENT", description: "" }],
|
||||
inputSchema: flow.input_schema,
|
||||
outputSchema: flow.output_schema,
|
||||
// Empty schemas - will be populated when block is added
|
||||
inputSchema: { type: "object", properties: {} },
|
||||
outputSchema: { type: "object", properties: {} },
|
||||
staticOutput: false,
|
||||
uiType: BlockUIType.AGENT,
|
||||
costs: [],
|
||||
@@ -125,8 +130,7 @@ export function BlocksControl({
|
||||
hardcodedValues: {
|
||||
graph_id: flow.id,
|
||||
graph_version: flow.version,
|
||||
input_schema: flow.input_schema,
|
||||
output_schema: flow.output_schema,
|
||||
// Schemas will be fetched on-demand when block is added
|
||||
},
|
||||
};
|
||||
})
|
||||
@@ -182,6 +186,37 @@ export function BlocksControl({
|
||||
setSelectedCategory(null);
|
||||
}, []);
|
||||
|
||||
// Handler to add a block, fetching graph data on-demand for agent blocks
|
||||
const handleAddBlock = useCallback(
|
||||
async (block: _Block & { notAvailable: string | null }) => {
|
||||
if (block.notAvailable) return;
|
||||
|
||||
// For agent blocks, fetch the full graph to get schemas
|
||||
if (block.uiType === BlockUIType.AGENT && block.hardcodedValues) {
|
||||
const graphID = block.hardcodedValues.graph_id as string;
|
||||
const graphVersion = block.hardcodedValues.graph_version as number;
|
||||
const graphData = okData(
|
||||
await getV1GetSpecificGraph(graphID, { version: graphVersion }),
|
||||
);
|
||||
|
||||
if (graphData) {
|
||||
addBlock(block.id, block.name, {
|
||||
...block.hardcodedValues,
|
||||
input_schema: graphData.input_schema,
|
||||
output_schema: graphData.output_schema,
|
||||
});
|
||||
} else {
|
||||
// Fallback: add without schemas (will be incomplete)
|
||||
console.error("Failed to fetch graph data for agent block");
|
||||
addBlock(block.id, block.name, block.hardcodedValues || {});
|
||||
}
|
||||
} else {
|
||||
addBlock(block.id, block.name, block.hardcodedValues || {});
|
||||
}
|
||||
},
|
||||
[addBlock],
|
||||
);
|
||||
|
||||
// Extract unique categories from blocks
|
||||
const categories = useMemo(() => {
|
||||
return Array.from(
|
||||
@@ -303,10 +338,7 @@ export function BlocksControl({
|
||||
}),
|
||||
);
|
||||
}}
|
||||
onClick={() =>
|
||||
!block.notAvailable &&
|
||||
addBlock(block.id, block.name, block?.hardcodedValues || {})
|
||||
}
|
||||
onClick={() => handleAddBlock(block)}
|
||||
title={block.notAvailable ?? undefined}
|
||||
>
|
||||
<div
|
||||
|
||||
@@ -29,13 +29,17 @@ import "@xyflow/react/dist/style.css";
|
||||
import { ConnectedEdge, CustomNode } from "../CustomNode/CustomNode";
|
||||
import "./flow.css";
|
||||
import {
|
||||
BlockIORootSchema,
|
||||
BlockUIType,
|
||||
formatEdgeID,
|
||||
GraphExecutionID,
|
||||
GraphID,
|
||||
GraphMeta,
|
||||
LibraryAgent,
|
||||
SpecialBlockID,
|
||||
} from "@/lib/autogpt-server-api";
|
||||
import { getV1GetSpecificGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
|
||||
import { okData } from "@/app/api/helpers";
|
||||
import { IncompatibilityInfo } from "../../../hooks/useSubAgentUpdate/types";
|
||||
import { Key, storage } from "@/services/storage/local-storage";
|
||||
import { findNewlyAddedBlockCoordinates, getTypeColor } from "@/lib/utils";
|
||||
@@ -687,8 +691,94 @@ const FlowEditor: React.FC<{
|
||||
[getNode, updateNode, nodes],
|
||||
);
|
||||
|
||||
/* Shared helper to create and add a node */
|
||||
const createAndAddNode = useCallback(
|
||||
async (
|
||||
blockID: string,
|
||||
blockName: string,
|
||||
hardcodedValues: Record<string, any>,
|
||||
position: { x: number; y: number },
|
||||
): Promise<CustomNode | null> => {
|
||||
const nodeSchema = availableBlocks.find((node) => node.id === blockID);
|
||||
if (!nodeSchema) {
|
||||
console.error(`Schema not found for block ID: ${blockID}`);
|
||||
return null;
|
||||
}
|
||||
|
||||
// For agent blocks, fetch the full graph to get schemas
|
||||
let inputSchema: BlockIORootSchema = nodeSchema.inputSchema;
|
||||
let outputSchema: BlockIORootSchema = nodeSchema.outputSchema;
|
||||
let finalHardcodedValues = hardcodedValues;
|
||||
|
||||
if (blockID === SpecialBlockID.AGENT) {
|
||||
const graphID = hardcodedValues.graph_id as string;
|
||||
const graphVersion = hardcodedValues.graph_version as number;
|
||||
const graphData = okData(
|
||||
await getV1GetSpecificGraph(graphID, { version: graphVersion }),
|
||||
);
|
||||
|
||||
if (graphData) {
|
||||
inputSchema = graphData.input_schema as BlockIORootSchema;
|
||||
outputSchema = graphData.output_schema as BlockIORootSchema;
|
||||
finalHardcodedValues = {
|
||||
...hardcodedValues,
|
||||
input_schema: graphData.input_schema,
|
||||
output_schema: graphData.output_schema,
|
||||
};
|
||||
} else {
|
||||
console.error("Failed to fetch graph data for agent block");
|
||||
}
|
||||
}
|
||||
|
||||
const newNode: CustomNode = {
|
||||
id: nodeId.toString(),
|
||||
type: "custom",
|
||||
position,
|
||||
data: {
|
||||
blockType: blockName,
|
||||
blockCosts: nodeSchema.costs || [],
|
||||
title: `${blockName} ${nodeId}`,
|
||||
description: nodeSchema.description,
|
||||
categories: nodeSchema.categories,
|
||||
inputSchema: inputSchema,
|
||||
outputSchema: outputSchema,
|
||||
hardcodedValues: finalHardcodedValues,
|
||||
connections: [],
|
||||
isOutputOpen: false,
|
||||
block_id: blockID,
|
||||
isOutputStatic: nodeSchema.staticOutput,
|
||||
uiType: nodeSchema.uiType,
|
||||
},
|
||||
};
|
||||
|
||||
addNodes(newNode);
|
||||
setNodeId((prevId) => prevId + 1);
|
||||
clearNodesStatusAndOutput();
|
||||
|
||||
history.push({
|
||||
type: "ADD_NODE",
|
||||
payload: { node: { ...newNode, ...newNode.data } },
|
||||
undo: () => deleteElements({ nodes: [{ id: newNode.id }] }),
|
||||
redo: () => addNodes(newNode),
|
||||
});
|
||||
|
||||
return newNode;
|
||||
},
|
||||
[
|
||||
availableBlocks,
|
||||
nodeId,
|
||||
addNodes,
|
||||
deleteElements,
|
||||
clearNodesStatusAndOutput,
|
||||
],
|
||||
);
|
||||
|
||||
const addNode = useCallback(
|
||||
(blockId: string, nodeType: string, hardcodedValues: any = {}) => {
|
||||
async (
|
||||
blockId: string,
|
||||
nodeType: string,
|
||||
hardcodedValues: Record<string, any> = {},
|
||||
) => {
|
||||
const nodeSchema = availableBlocks.find((node) => node.id === blockId);
|
||||
if (!nodeSchema) {
|
||||
console.error(`Schema not found for block ID: ${blockId}`);
|
||||
@@ -707,73 +797,42 @@ const FlowEditor: React.FC<{
|
||||
// Alternative: We could also use D3 force, Intersection for this (React flow Pro examples)
|
||||
|
||||
const { x, y } = getViewport();
|
||||
const viewportCoordinates =
|
||||
const position =
|
||||
nodeDimensions && Object.keys(nodeDimensions).length > 0
|
||||
? // we will get all the dimension of nodes, then store
|
||||
findNewlyAddedBlockCoordinates(
|
||||
? findNewlyAddedBlockCoordinates(
|
||||
nodeDimensions,
|
||||
nodeSchema.uiType == BlockUIType.NOTE ? 300 : 500,
|
||||
60,
|
||||
1.0,
|
||||
)
|
||||
: // we will get all the dimension of nodes, then store
|
||||
{
|
||||
: {
|
||||
x: window.innerWidth / 2 - x,
|
||||
y: window.innerHeight / 2 - y,
|
||||
};
|
||||
|
||||
const newNode: CustomNode = {
|
||||
id: nodeId.toString(),
|
||||
type: "custom",
|
||||
position: viewportCoordinates, // Set the position to the calculated viewport center
|
||||
data: {
|
||||
blockType: nodeType,
|
||||
blockCosts: nodeSchema.costs,
|
||||
title: `${nodeType} ${nodeId}`,
|
||||
description: nodeSchema.description,
|
||||
categories: nodeSchema.categories,
|
||||
inputSchema: nodeSchema.inputSchema,
|
||||
outputSchema: nodeSchema.outputSchema,
|
||||
hardcodedValues: hardcodedValues,
|
||||
connections: [],
|
||||
isOutputOpen: false,
|
||||
block_id: blockId,
|
||||
isOutputStatic: nodeSchema.staticOutput,
|
||||
uiType: nodeSchema.uiType,
|
||||
},
|
||||
};
|
||||
|
||||
addNodes(newNode);
|
||||
setNodeId((prevId) => prevId + 1);
|
||||
clearNodesStatusAndOutput(); // Clear status and output when a new node is added
|
||||
const newNode = await createAndAddNode(
|
||||
blockId,
|
||||
nodeType,
|
||||
hardcodedValues,
|
||||
position,
|
||||
);
|
||||
if (!newNode) return;
|
||||
|
||||
setViewport(
|
||||
{
|
||||
// Rough estimate of the dimension of the node is: 500x400px.
|
||||
// Though we skip shifting the X, considering the block menu side-bar.
|
||||
x: -viewportCoordinates.x * 0.8 + (window.innerWidth - 0.0) / 2,
|
||||
y: -viewportCoordinates.y * 0.8 + (window.innerHeight - 400) / 2,
|
||||
x: -position.x * 0.8 + (window.innerWidth - 0.0) / 2,
|
||||
y: -position.y * 0.8 + (window.innerHeight - 400) / 2,
|
||||
zoom: 0.8,
|
||||
},
|
||||
{ duration: 500 },
|
||||
);
|
||||
|
||||
history.push({
|
||||
type: "ADD_NODE",
|
||||
payload: { node: { ...newNode, ...newNode.data } },
|
||||
undo: () => deleteElements({ nodes: [{ id: newNode.id }] }),
|
||||
redo: () => addNodes(newNode),
|
||||
});
|
||||
},
|
||||
[
|
||||
nodeId,
|
||||
getViewport,
|
||||
setViewport,
|
||||
availableBlocks,
|
||||
addNodes,
|
||||
nodeDimensions,
|
||||
deleteElements,
|
||||
clearNodesStatusAndOutput,
|
||||
createAndAddNode,
|
||||
],
|
||||
);
|
||||
|
||||
@@ -920,7 +979,7 @@ const FlowEditor: React.FC<{
|
||||
}, []);
|
||||
|
||||
const onDrop = useCallback(
|
||||
(event: React.DragEvent) => {
|
||||
async (event: React.DragEvent) => {
|
||||
event.preventDefault();
|
||||
|
||||
const blockData = event.dataTransfer.getData("application/reactflow");
|
||||
@@ -935,62 +994,17 @@ const FlowEditor: React.FC<{
|
||||
y: event.clientY,
|
||||
});
|
||||
|
||||
// Find the block schema
|
||||
const nodeSchema = availableBlocks.find((node) => node.id === blockId);
|
||||
if (!nodeSchema) {
|
||||
console.error(`Schema not found for block ID: ${blockId}`);
|
||||
return;
|
||||
}
|
||||
|
||||
// Create the new node at the drop position
|
||||
const newNode: CustomNode = {
|
||||
id: nodeId.toString(),
|
||||
type: "custom",
|
||||
await createAndAddNode(
|
||||
blockId,
|
||||
blockName,
|
||||
hardcodedValues || {},
|
||||
position,
|
||||
data: {
|
||||
blockType: blockName,
|
||||
blockCosts: nodeSchema.costs || [],
|
||||
title: `${blockName} ${nodeId}`,
|
||||
description: nodeSchema.description,
|
||||
categories: nodeSchema.categories,
|
||||
inputSchema: nodeSchema.inputSchema,
|
||||
outputSchema: nodeSchema.outputSchema,
|
||||
hardcodedValues: hardcodedValues,
|
||||
connections: [],
|
||||
isOutputOpen: false,
|
||||
block_id: blockId,
|
||||
uiType: nodeSchema.uiType,
|
||||
},
|
||||
};
|
||||
|
||||
history.push({
|
||||
type: "ADD_NODE",
|
||||
payload: { node: { ...newNode, ...newNode.data } },
|
||||
undo: () => {
|
||||
deleteElements({ nodes: [{ id: newNode.id } as any], edges: [] });
|
||||
},
|
||||
redo: () => {
|
||||
addNodes([newNode]);
|
||||
},
|
||||
});
|
||||
addNodes([newNode]);
|
||||
clearNodesStatusAndOutput();
|
||||
|
||||
setNodeId((prevId) => prevId + 1);
|
||||
);
|
||||
} catch (error) {
|
||||
console.error("Failed to drop block:", error);
|
||||
}
|
||||
},
|
||||
[
|
||||
nodeId,
|
||||
availableBlocks,
|
||||
nodes,
|
||||
edges,
|
||||
addNodes,
|
||||
screenToFlowPosition,
|
||||
deleteElements,
|
||||
clearNodesStatusAndOutput,
|
||||
],
|
||||
[screenToFlowPosition, createAndAddNode],
|
||||
);
|
||||
|
||||
const buildContextValue: BuilderContextType = useMemo(
|
||||
|
||||
@@ -4,13 +4,13 @@ import { AgentRunDraftView } from "@/app/(platform)/library/agents/[id]/componen
|
||||
import { Dialog } from "@/components/molecules/Dialog/Dialog";
|
||||
import type {
|
||||
CredentialsMetaInput,
|
||||
GraphMeta,
|
||||
Graph,
|
||||
} from "@/lib/autogpt-server-api/types";
|
||||
|
||||
interface RunInputDialogProps {
|
||||
isOpen: boolean;
|
||||
doClose: () => void;
|
||||
graph: GraphMeta;
|
||||
graph: Graph;
|
||||
doRun?: (
|
||||
inputs: Record<string, any>,
|
||||
credentialsInputs: Record<string, CredentialsMetaInput>,
|
||||
|
||||
@@ -9,13 +9,13 @@ import { CustomNodeData } from "@/app/(platform)/build/components/legacy-builder
|
||||
import {
|
||||
BlockUIType,
|
||||
CredentialsMetaInput,
|
||||
GraphMeta,
|
||||
Graph,
|
||||
} from "@/lib/autogpt-server-api/types";
|
||||
import RunnerOutputUI, { OutputNodeInfo } from "./RunnerOutputUI";
|
||||
import { RunnerInputDialog } from "./RunnerInputUI";
|
||||
|
||||
interface RunnerUIWrapperProps {
|
||||
graph: GraphMeta;
|
||||
graph: Graph;
|
||||
nodes: Node<CustomNodeData>[];
|
||||
graphExecutionError?: string | null;
|
||||
saveAndRun: (
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { GraphInputSchema } from "@/lib/autogpt-server-api";
|
||||
import { GraphMetaLike, IncompatibilityInfo } from "./types";
|
||||
import { GraphLike, IncompatibilityInfo } from "./types";
|
||||
|
||||
// Helper type for schema properties - the generated types are too loose
|
||||
type SchemaProperties = Record<string, GraphInputSchema["properties"][string]>;
|
||||
@@ -36,7 +36,7 @@ export function getSchemaRequired(schema: unknown): SchemaRequired {
|
||||
*/
|
||||
export function createUpdatedAgentNodeInputs(
|
||||
currentInputs: Record<string, unknown>,
|
||||
latestSubGraphVersion: GraphMetaLike,
|
||||
latestSubGraphVersion: GraphLike,
|
||||
): Record<string, unknown> {
|
||||
return {
|
||||
...currentInputs,
|
||||
|
||||
@@ -1,7 +1,11 @@
|
||||
import type { GraphMeta as LegacyGraphMeta } from "@/lib/autogpt-server-api";
|
||||
import type {
|
||||
Graph as LegacyGraph,
|
||||
GraphMeta as LegacyGraphMeta,
|
||||
} from "@/lib/autogpt-server-api";
|
||||
import type { GraphModel as GeneratedGraph } from "@/app/api/__generated__/models/graphModel";
|
||||
import type { GraphMeta as GeneratedGraphMeta } from "@/app/api/__generated__/models/graphMeta";
|
||||
|
||||
export type SubAgentUpdateInfo<T extends GraphMetaLike = GraphMetaLike> = {
|
||||
export type SubAgentUpdateInfo<T extends GraphLike = GraphLike> = {
|
||||
hasUpdate: boolean;
|
||||
currentVersion: number;
|
||||
latestVersion: number;
|
||||
@@ -10,7 +14,10 @@ export type SubAgentUpdateInfo<T extends GraphMetaLike = GraphMetaLike> = {
|
||||
incompatibilities: IncompatibilityInfo | null;
|
||||
};
|
||||
|
||||
// Union type for GraphMeta that works with both legacy and new builder
|
||||
// Union type for Graph (with schemas) that works with both legacy and new builder
|
||||
export type GraphLike = LegacyGraph | GeneratedGraph;
|
||||
|
||||
// Union type for GraphMeta (without schemas) for version detection
|
||||
export type GraphMetaLike = LegacyGraphMeta | GeneratedGraphMeta;
|
||||
|
||||
export type IncompatibilityInfo = {
|
||||
|
||||
@@ -1,5 +1,11 @@
|
||||
import { useMemo } from "react";
|
||||
import { GraphInputSchema, GraphOutputSchema } from "@/lib/autogpt-server-api";
|
||||
import type {
|
||||
GraphInputSchema,
|
||||
GraphOutputSchema,
|
||||
} from "@/lib/autogpt-server-api";
|
||||
import type { GraphModel } from "@/app/api/__generated__/models/graphModel";
|
||||
import { useGetV1GetSpecificGraph } from "@/app/api/__generated__/endpoints/graphs/graphs";
|
||||
import { okData } from "@/app/api/helpers";
|
||||
import { getEffectiveType } from "@/lib/utils";
|
||||
import { EdgeLike, getSchemaProperties, getSchemaRequired } from "./helpers";
|
||||
import {
|
||||
@@ -11,26 +17,38 @@ import {
|
||||
/**
|
||||
* Checks if a newer version of a sub-agent is available and determines compatibility
|
||||
*/
|
||||
export function useSubAgentUpdate<T extends GraphMetaLike>(
|
||||
export function useSubAgentUpdate(
|
||||
nodeID: string,
|
||||
graphID: string | undefined,
|
||||
graphVersion: number | undefined,
|
||||
currentInputSchema: GraphInputSchema | undefined,
|
||||
currentOutputSchema: GraphOutputSchema | undefined,
|
||||
connections: EdgeLike[],
|
||||
availableGraphs: T[],
|
||||
): SubAgentUpdateInfo<T> {
|
||||
availableGraphs: GraphMetaLike[],
|
||||
): SubAgentUpdateInfo<GraphModel> {
|
||||
// Find the latest version of the same graph
|
||||
const latestGraph = useMemo(() => {
|
||||
const latestGraphInfo = useMemo(() => {
|
||||
if (!graphID) return null;
|
||||
return availableGraphs.find((graph) => graph.id === graphID) || null;
|
||||
}, [graphID, availableGraphs]);
|
||||
|
||||
// Check if there's an update available
|
||||
// Check if there's a newer version available
|
||||
const hasUpdate = useMemo(() => {
|
||||
if (!latestGraph || graphVersion === undefined) return false;
|
||||
return latestGraph.version! > graphVersion;
|
||||
}, [latestGraph, graphVersion]);
|
||||
if (!latestGraphInfo || graphVersion === undefined) return false;
|
||||
return latestGraphInfo.version! > graphVersion;
|
||||
}, [latestGraphInfo, graphVersion]);
|
||||
|
||||
// Fetch full graph IF an update is detected
|
||||
const { data: latestGraph } = useGetV1GetSpecificGraph(
|
||||
graphID ?? "",
|
||||
{ version: latestGraphInfo?.version },
|
||||
{
|
||||
query: {
|
||||
enabled: hasUpdate && !!graphID && !!latestGraphInfo?.version,
|
||||
select: okData,
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
// Get connected input and output handles for this specific node
|
||||
const connectedHandles = useMemo(() => {
|
||||
@@ -152,8 +170,8 @@ export function useSubAgentUpdate<T extends GraphMetaLike>(
|
||||
return {
|
||||
hasUpdate,
|
||||
currentVersion: graphVersion || 0,
|
||||
latestVersion: latestGraph?.version || 0,
|
||||
latestGraph,
|
||||
latestVersion: latestGraphInfo?.version || 0,
|
||||
latestGraph: latestGraph || null,
|
||||
isCompatible: compatibilityResult.isCompatible,
|
||||
incompatibilities: compatibilityResult.incompatibilities,
|
||||
};
|
||||
|
||||
@@ -18,7 +18,7 @@ interface GraphStore {
|
||||
outputSchema: Record<string, any> | null,
|
||||
) => void;
|
||||
|
||||
// Available graphs; used for sub-graph updates
|
||||
// Available graphs; used for sub-graph updated version detection
|
||||
availableSubGraphs: GraphMeta[];
|
||||
setAvailableSubGraphs: (graphs: GraphMeta[]) => void;
|
||||
|
||||
|
||||
@@ -10,8 +10,8 @@ import React, {
|
||||
import {
|
||||
CredentialsMetaInput,
|
||||
CredentialsType,
|
||||
Graph,
|
||||
GraphExecutionID,
|
||||
GraphMeta,
|
||||
LibraryAgentPreset,
|
||||
LibraryAgentPresetID,
|
||||
LibraryAgentPresetUpdatable,
|
||||
@@ -69,7 +69,7 @@ export function AgentRunDraftView({
|
||||
className,
|
||||
recommendedScheduleCron,
|
||||
}: {
|
||||
graph: GraphMeta;
|
||||
graph: Graph;
|
||||
agentActions?: ButtonAction[];
|
||||
recommendedScheduleCron?: string | null;
|
||||
doRun?: (
|
||||
|
||||
@@ -2,8 +2,8 @@
|
||||
import React, { useCallback, useMemo } from "react";
|
||||
|
||||
import {
|
||||
Graph,
|
||||
GraphExecutionID,
|
||||
GraphMeta,
|
||||
Schedule,
|
||||
ScheduleID,
|
||||
} from "@/lib/autogpt-server-api";
|
||||
@@ -35,7 +35,7 @@ export function AgentScheduleDetailsView({
|
||||
onForcedRun,
|
||||
doDeleteSchedule,
|
||||
}: {
|
||||
graph: GraphMeta;
|
||||
graph: Graph;
|
||||
schedule: Schedule;
|
||||
agentActions: ButtonAction[];
|
||||
onForcedRun: (runID: GraphExecutionID) => void;
|
||||
|
||||
@@ -5629,7 +5629,9 @@
|
||||
"description": "Successful Response",
|
||||
"content": {
|
||||
"application/json": {
|
||||
"schema": { "$ref": "#/components/schemas/GraphMeta" }
|
||||
"schema": {
|
||||
"$ref": "#/components/schemas/GraphModelWithoutNodes"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
@@ -6495,18 +6497,6 @@
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Recommended Schedule Cron"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/Node" },
|
||||
"type": "array",
|
||||
"title": "Nodes",
|
||||
"default": []
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links",
|
||||
"default": []
|
||||
},
|
||||
"forked_from_id": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Forked From Id"
|
||||
@@ -6514,11 +6504,22 @@
|
||||
"forked_from_version": {
|
||||
"anyOf": [{ "type": "integer" }, { "type": "null" }],
|
||||
"title": "Forked From Version"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/Node" },
|
||||
"type": "array",
|
||||
"title": "Nodes"
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links"
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name", "description"],
|
||||
"title": "BaseGraph"
|
||||
"title": "BaseGraph",
|
||||
"description": "Graph with nodes, links, and computed I/O schema fields.\n\nUsed to represent sub-graphs within a `Graph`. Contains the full graph\nstructure including nodes and links, plus computed fields for schemas\nand trigger info. Does NOT include user_id or created_at (see GraphModel)."
|
||||
},
|
||||
"BaseGraph-Output": {
|
||||
"properties": {
|
||||
@@ -6539,18 +6540,6 @@
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Recommended Schedule Cron"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/Node" },
|
||||
"type": "array",
|
||||
"title": "Nodes",
|
||||
"default": []
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links",
|
||||
"default": []
|
||||
},
|
||||
"forked_from_id": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Forked From Id"
|
||||
@@ -6559,6 +6548,16 @@
|
||||
"anyOf": [{ "type": "integer" }, { "type": "null" }],
|
||||
"title": "Forked From Version"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/Node" },
|
||||
"type": "array",
|
||||
"title": "Nodes"
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links"
|
||||
},
|
||||
"input_schema": {
|
||||
"additionalProperties": true,
|
||||
"type": "object",
|
||||
@@ -6605,7 +6604,8 @@
|
||||
"has_sensitive_action",
|
||||
"trigger_setup_info"
|
||||
],
|
||||
"title": "BaseGraph"
|
||||
"title": "BaseGraph",
|
||||
"description": "Graph with nodes, links, and computed I/O schema fields.\n\nUsed to represent sub-graphs within a `Graph`. Contains the full graph\nstructure including nodes and links, plus computed fields for schemas\nand trigger info. Does NOT include user_id or created_at (see GraphModel)."
|
||||
},
|
||||
"BlockCategoryResponse": {
|
||||
"properties": {
|
||||
@@ -7399,18 +7399,6 @@
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Recommended Schedule Cron"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/Node" },
|
||||
"type": "array",
|
||||
"title": "Nodes",
|
||||
"default": []
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links",
|
||||
"default": []
|
||||
},
|
||||
"forked_from_id": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Forked From Id"
|
||||
@@ -7419,16 +7407,26 @@
|
||||
"anyOf": [{ "type": "integer" }, { "type": "null" }],
|
||||
"title": "Forked From Version"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/Node" },
|
||||
"type": "array",
|
||||
"title": "Nodes"
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links"
|
||||
},
|
||||
"sub_graphs": {
|
||||
"items": { "$ref": "#/components/schemas/BaseGraph-Input" },
|
||||
"type": "array",
|
||||
"title": "Sub Graphs",
|
||||
"default": []
|
||||
"title": "Sub Graphs"
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["name", "description"],
|
||||
"title": "Graph"
|
||||
"title": "Graph",
|
||||
"description": "Creatable graph model used in API create/update endpoints."
|
||||
},
|
||||
"GraphExecution": {
|
||||
"properties": {
|
||||
@@ -7778,6 +7776,52 @@
|
||||
"description": "Response schema for paginated graph executions."
|
||||
},
|
||||
"GraphMeta": {
|
||||
"properties": {
|
||||
"id": { "type": "string", "title": "Id" },
|
||||
"version": { "type": "integer", "title": "Version" },
|
||||
"is_active": {
|
||||
"type": "boolean",
|
||||
"title": "Is Active",
|
||||
"default": true
|
||||
},
|
||||
"name": { "type": "string", "title": "Name" },
|
||||
"description": { "type": "string", "title": "Description" },
|
||||
"instructions": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Instructions"
|
||||
},
|
||||
"recommended_schedule_cron": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Recommended Schedule Cron"
|
||||
},
|
||||
"forked_from_id": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Forked From Id"
|
||||
},
|
||||
"forked_from_version": {
|
||||
"anyOf": [{ "type": "integer" }, { "type": "null" }],
|
||||
"title": "Forked From Version"
|
||||
},
|
||||
"user_id": { "type": "string", "title": "User Id" },
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"format": "date-time",
|
||||
"title": "Created At"
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
"required": [
|
||||
"id",
|
||||
"version",
|
||||
"name",
|
||||
"description",
|
||||
"user_id",
|
||||
"created_at"
|
||||
],
|
||||
"title": "GraphMeta",
|
||||
"description": "Lightweight graph metadata model representing an existing graph from the database,\nfor use in listings and summaries.\n\nLacks `GraphModel`'s nodes, links, and expensive computed fields.\nUse for list endpoints where full graph data is not needed and performance matters."
|
||||
},
|
||||
"GraphModel": {
|
||||
"properties": {
|
||||
"id": { "type": "string", "title": "Id" },
|
||||
"version": { "type": "integer", "title": "Version", "default": 1 },
|
||||
@@ -7804,13 +7848,27 @@
|
||||
"anyOf": [{ "type": "integer" }, { "type": "null" }],
|
||||
"title": "Forked From Version"
|
||||
},
|
||||
"user_id": { "type": "string", "title": "User Id" },
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
"format": "date-time",
|
||||
"title": "Created At"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/NodeModel" },
|
||||
"type": "array",
|
||||
"title": "Nodes"
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links"
|
||||
},
|
||||
"sub_graphs": {
|
||||
"items": { "$ref": "#/components/schemas/BaseGraph-Output" },
|
||||
"type": "array",
|
||||
"title": "Sub Graphs",
|
||||
"default": []
|
||||
"title": "Sub Graphs"
|
||||
},
|
||||
"user_id": { "type": "string", "title": "User Id" },
|
||||
"input_schema": {
|
||||
"additionalProperties": true,
|
||||
"type": "object",
|
||||
@@ -7857,6 +7915,7 @@
|
||||
"name",
|
||||
"description",
|
||||
"user_id",
|
||||
"created_at",
|
||||
"input_schema",
|
||||
"output_schema",
|
||||
"has_external_trigger",
|
||||
@@ -7865,9 +7924,10 @@
|
||||
"trigger_setup_info",
|
||||
"credentials_input_schema"
|
||||
],
|
||||
"title": "GraphMeta"
|
||||
"title": "GraphModel",
|
||||
"description": "Full graph model representing an existing graph from the database.\n\nThis is the primary model for working with persisted graphs. Includes all\ngraph data (nodes, links, sub_graphs) plus user ownership and timestamps.\nProvides computed fields (input_schema, output_schema, etc.) used during\nset-up (frontend) and execution (backend).\n\nInherits from:\n- `Graph`: provides structure (nodes, links, sub_graphs) and computed schemas\n- `GraphMeta`: provides user_id, created_at for database records"
|
||||
},
|
||||
"GraphModel": {
|
||||
"GraphModelWithoutNodes": {
|
||||
"properties": {
|
||||
"id": { "type": "string", "title": "Id" },
|
||||
"version": { "type": "integer", "title": "Version", "default": 1 },
|
||||
@@ -7886,18 +7946,6 @@
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Recommended Schedule Cron"
|
||||
},
|
||||
"nodes": {
|
||||
"items": { "$ref": "#/components/schemas/NodeModel" },
|
||||
"type": "array",
|
||||
"title": "Nodes",
|
||||
"default": []
|
||||
},
|
||||
"links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Links",
|
||||
"default": []
|
||||
},
|
||||
"forked_from_id": {
|
||||
"anyOf": [{ "type": "string" }, { "type": "null" }],
|
||||
"title": "Forked From Id"
|
||||
@@ -7906,12 +7954,6 @@
|
||||
"anyOf": [{ "type": "integer" }, { "type": "null" }],
|
||||
"title": "Forked From Version"
|
||||
},
|
||||
"sub_graphs": {
|
||||
"items": { "$ref": "#/components/schemas/BaseGraph-Output" },
|
||||
"type": "array",
|
||||
"title": "Sub Graphs",
|
||||
"default": []
|
||||
},
|
||||
"user_id": { "type": "string", "title": "User Id" },
|
||||
"created_at": {
|
||||
"type": "string",
|
||||
@@ -7973,7 +8015,8 @@
|
||||
"trigger_setup_info",
|
||||
"credentials_input_schema"
|
||||
],
|
||||
"title": "GraphModel"
|
||||
"title": "GraphModelWithoutNodes",
|
||||
"description": "GraphModel variant that excludes nodes, links, and sub-graphs from serialization.\n\nUsed in contexts like the store where exposing internal graph structure\nis not desired. Inherits all computed fields from GraphModel but marks\nnodes and links as excluded from JSON output."
|
||||
},
|
||||
"GraphSettings": {
|
||||
"properties": {
|
||||
@@ -8613,26 +8656,22 @@
|
||||
"input_default": {
|
||||
"additionalProperties": true,
|
||||
"type": "object",
|
||||
"title": "Input Default",
|
||||
"default": {}
|
||||
"title": "Input Default"
|
||||
},
|
||||
"metadata": {
|
||||
"additionalProperties": true,
|
||||
"type": "object",
|
||||
"title": "Metadata",
|
||||
"default": {}
|
||||
"title": "Metadata"
|
||||
},
|
||||
"input_links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Input Links",
|
||||
"default": []
|
||||
"title": "Input Links"
|
||||
},
|
||||
"output_links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Output Links",
|
||||
"default": []
|
||||
"title": "Output Links"
|
||||
}
|
||||
},
|
||||
"type": "object",
|
||||
@@ -8712,26 +8751,22 @@
|
||||
"input_default": {
|
||||
"additionalProperties": true,
|
||||
"type": "object",
|
||||
"title": "Input Default",
|
||||
"default": {}
|
||||
"title": "Input Default"
|
||||
},
|
||||
"metadata": {
|
||||
"additionalProperties": true,
|
||||
"type": "object",
|
||||
"title": "Metadata",
|
||||
"default": {}
|
||||
"title": "Metadata"
|
||||
},
|
||||
"input_links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Input Links",
|
||||
"default": []
|
||||
"title": "Input Links"
|
||||
},
|
||||
"output_links": {
|
||||
"items": { "$ref": "#/components/schemas/Link" },
|
||||
"type": "array",
|
||||
"title": "Output Links",
|
||||
"default": []
|
||||
"title": "Output Links"
|
||||
},
|
||||
"graph_id": { "type": "string", "title": "Graph Id" },
|
||||
"graph_version": { "type": "integer", "title": "Graph Version" },
|
||||
@@ -12272,7 +12307,9 @@
|
||||
"title": "Location"
|
||||
},
|
||||
"msg": { "type": "string", "title": "Message" },
|
||||
"type": { "type": "string", "title": "Error Type" }
|
||||
"type": { "type": "string", "title": "Error Type" },
|
||||
"input": { "title": "Input" },
|
||||
"ctx": { "type": "object", "title": "Context" }
|
||||
},
|
||||
"type": "object",
|
||||
"required": ["loc", "msg", "type"],
|
||||
|
||||
@@ -362,25 +362,14 @@ export type GraphMeta = {
|
||||
user_id: UserID;
|
||||
version: number;
|
||||
is_active: boolean;
|
||||
created_at: Date;
|
||||
name: string;
|
||||
description: string;
|
||||
instructions?: string | null;
|
||||
recommended_schedule_cron: string | null;
|
||||
forked_from_id?: GraphID | null;
|
||||
forked_from_version?: number | null;
|
||||
input_schema: GraphInputSchema;
|
||||
output_schema: GraphOutputSchema;
|
||||
credentials_input_schema: CredentialsInputSchema;
|
||||
} & (
|
||||
| {
|
||||
has_external_trigger: true;
|
||||
trigger_setup_info: GraphTriggerInfo;
|
||||
}
|
||||
| {
|
||||
has_external_trigger: false;
|
||||
trigger_setup_info: null;
|
||||
}
|
||||
);
|
||||
};
|
||||
|
||||
export type GraphID = Brand<string, "GraphID">;
|
||||
|
||||
@@ -447,11 +436,22 @@ export type GraphTriggerInfo = {
|
||||
|
||||
/* Mirror of backend/data/graph.py:Graph */
|
||||
export type Graph = GraphMeta & {
|
||||
created_at: Date;
|
||||
nodes: Node[];
|
||||
links: Link[];
|
||||
sub_graphs: Omit<Graph, "sub_graphs">[]; // Flattened sub-graphs
|
||||
};
|
||||
input_schema: GraphInputSchema;
|
||||
output_schema: GraphOutputSchema;
|
||||
credentials_input_schema: CredentialsInputSchema;
|
||||
} & (
|
||||
| {
|
||||
has_external_trigger: true;
|
||||
trigger_setup_info: GraphTriggerInfo;
|
||||
}
|
||||
| {
|
||||
has_external_trigger: false;
|
||||
trigger_setup_info: null;
|
||||
}
|
||||
);
|
||||
|
||||
export type GraphUpdateable = Omit<
|
||||
Graph,
|
||||
|
||||
Reference in New Issue
Block a user