feat(backend): Add Support for Managing Agent Presets with Pagination and Soft Delete

autogpt_platform/backend/backend/server/model.py

@@ -56,3 +56,18 @@ class SetGraphActiveVersion(pydantic.BaseModel):
 
 class UpdatePermissionsRequest(pydantic.BaseModel):
     permissions: List[APIKeyPermission]
+
+
+class Pagination(pydantic.BaseModel):
+    total_items: int = pydantic.Field(
+        description="Total number of items.", examples=[42]
+    )
+    total_pages: int = pydantic.Field(
+        description="Total number of pages.", examples=[97]
+    )
+    current_page: int = pydantic.Field(
+        description="Current_page page number.", examples=[1]
+    )
+    page_size: int = pydantic.Field(
+        description="Number of items per page.", examples=[25]
+    )

autogpt_platform/backend/backend/server/v2/library/db.py

@@ -1,3 +1,4 @@
+import json
 import logging
 from typing import List
 
@@ -7,6 +8,7 @@
 
 import backend.data.graph
 import backend.data.includes
+import backend.server.model
 import backend.server.v2.library.model
 import backend.server.v2.store.exceptions
 
@@ -163,3 +165,122 @@ async def add_agent_to_library(store_listing_version_id: str, user_id: str) -> N
         raise backend.server.v2.store.exceptions.DatabaseError(
             "Failed to add agent to library"
         ) from e
+
+
+##############################################
+########### Presets DB Functions #############
+##############################################
+
+
+async def get_presets(
+    user_id: str, page: int, page_size: int
+) -> backend.server.v2.library.model.LibraryAgentPresetResponse:
+
+    try:
+        presets = await prisma.models.AgentPreset.prisma().find_many(
+            where={"userId": user_id},
+            skip=page * page_size,
+            take=page_size,
+        )
+
+        total_items = await prisma.models.AgentPreset.prisma().count(
+            where={"userId": user_id},
+        )
+        total_pages = (total_items + page_size - 1) // page_size
+
+        presets = [
+            backend.server.v2.library.model.LibraryAgentPreset.from_db(preset)
+            for preset in presets
+        ]
+
+        return backend.server.v2.library.model.LibraryAgentPresetResponse(
+            presets=presets,
+            pagination=backend.server.model.Pagination(
+                total_items=total_items,
+                total_pages=total_pages,
+                current_page=page,
+                page_size=page_size,
+            ),
+        )
+
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error getting presets: {str(e)}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to fetch presets"
+        ) from e
+
+
+async def get_preset(
+    user_id: str, preset_id: str
+) -> backend.server.v2.library.model.LibraryAgentPreset | None:
+    try:
+        preset = await prisma.models.AgentPreset.prisma().find_unique(
+            where={"id": preset_id, "userId": user_id}
+        )
+        if not preset:
+            return None
+        return backend.server.v2.library.model.LibraryAgentPreset.from_db(preset)
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error getting preset: {str(e)}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to fetch preset"
+        ) from e
+
+
+async def create_or_update_preset(
+    user_id: str,
+    preset: backend.server.v2.library.model.CreateLibraryAgentPresetRequest,
+    preset_id: str | None = None,
+) -> backend.server.v2.library.model.LibraryAgentPreset:
+    try:
+        new_preset = await prisma.models.AgentPreset.prisma().upsert(
+            where={
+                "id": preset_id if preset_id else "",
+            },
+            data={
+                "create": prisma.types.AgentPresetCreateInput(
+                    userId=user_id,
+                    name=preset.name,
+                    description=preset.description,
+                    agentId=preset.agent_id,
+                    agentVersion=preset.agent_version,
+                    Agent=prisma.types.AgentGraphUpdateOneWithoutRelationsInput(
+                        connect=prisma.types.AgentGraphWhereUniqueInput(
+                            id=preset.agent_id,
+                            version=preset.agent_version,
+                        ),
+                    ),
+                    isActive=preset.is_active,
+                    InputPresets={
+                        "create": [
+                            {"name": name, "data": json.dumps(data)}
+                            for name, data in preset.inputs.items()
+                        ]
+                    },
+                ),
+                "update": prisma.types.AgentPresetUpdateInput(
+                    name=preset.name,
+                    description=preset.description,
+                    isActive=preset.is_active,
+                ),
+            },
+        )
+        return backend.server.v2.library.model.LibraryAgentPreset.from_db(new_preset)
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error creating preset: {str(e)}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to create preset"
+        ) from e
+
+
+async def delete_preset(user_id: str, preset_id: str) -> None:
+    try:
+        await prisma.models.AgentPreset.prisma().update(
+            where={"id": preset_id, "userId": user_id},
+            data={"isDeleted": True},
+        )
+    except prisma.errors.PrismaError as e:
+        logger.error(f"Database error deleting preset: {str(e)}")
+        raise backend.server.v2.store.exceptions.DatabaseError(
+            "Failed to delete preset"
+        ) from e

autogpt_platform/backend/backend/server/v2/library/model.py

@@ -1,7 +1,13 @@
+import datetime
+import json
 import typing
 
+import prisma.models
 import pydantic
 
+import backend.data.block
+import backend.server.model
+
 
 class LibraryAgent(pydantic.BaseModel):
     id: str  # Changed from agent_id to match GraphMeta
@@ -14,3 +20,49 @@ class LibraryAgent(pydantic.BaseModel):
     # Made input_schema and output_schema match GraphMeta's type
     input_schema: dict[str, typing.Any]  # Should be BlockIOObjectSubSchema in frontend
     output_schema: dict[str, typing.Any]  # Should be BlockIOObjectSubSchema in frontend
+
+
+class LibraryAgentPreset(pydantic.BaseModel):
+    id: str
+    updated_at: datetime.datetime
+
+    agent_id: str
+    agent_version: int
+
+    name: str
+    description: str
+
+    is_active: bool
+    inputs: dict[str, backend.data.block.BlockInput]
+
+    @staticmethod
+    def from_db(preset: prisma.models.AgentPreset):
+        input_data = {}
+
+        for data in preset.InputPresets or []:
+            input_data[data.name] = json.loads(data.data)
+
+        return LibraryAgentPreset(
+            id=preset.id,
+            updated_at=preset.updatedAt,
+            agent_id=preset.agentId,
+            agent_version=preset.agentVersion,
+            name=preset.name,
+            description=preset.description,
+            is_active=preset.isActive,
+            inputs=input_data,
+        )
+
+
+class LibraryAgentPresetResponse(pydantic.BaseModel):
+    presets: list[LibraryAgentPreset]
+    pagination: backend.server.model.Pagination
+
+
+class CreateLibraryAgentPresetRequest(pydantic.BaseModel):
+    name: str
+    description: str
+    inputs: dict[str, backend.data.block.BlockInput]
+    agent_id: str
+    agent_version: int
+    is_active: bool

autogpt_platform/backend/backend/server/v2/library/model_test.py

@@ -1,3 +1,7 @@
+from datetime import datetime
+
+import backend.data.block
+import backend.server.model
 import backend.server.v2.library.model
 
 
@@ -41,3 +45,84 @@ def test_library_agent_with_user_created():
     assert agent.isCreatedByUser is True
     assert agent.input_schema == {"type": "object", "properties": {}}
     assert agent.output_schema == {"type": "object", "properties": {}}
+
+
+def test_library_agent_preset():
+    preset = backend.server.v2.library.model.LibraryAgentPreset(
+        id="preset-123",
+        name="Test Preset",
+        description="Test preset description",
+        agent_id="test-agent-123",
+        agent_version=1,
+        is_active=True,
+        inputs={
+            "input1": backend.data.block.BlockInput(
+                name="input1",
+                data={"type": "string", "value": "test value"},
+            )
+        },
+        updated_at=datetime.now(),
+    )
+    assert preset.id == "preset-123"
+    assert preset.name == "Test Preset"
+    assert preset.description == "Test preset description"
+    assert preset.agent_id == "test-agent-123"
+    assert preset.agent_version == 1
+    assert preset.is_active is True
+    assert preset.inputs == {"input1": "test value"}
+
+
+def test_library_agent_preset_response():
+    preset = backend.server.v2.library.model.LibraryAgentPreset(
+        id="preset-123",
+        name="Test Preset",
+        description="Test preset description",
+        agent_id="test-agent-123",
+        agent_version=1,
+        is_active=True,
+        inputs={
+            "input1": backend.data.block.BlockInput(
+                name="input1",
+                data={"type": "string", "value": "test value"},
+            )
+        },
+        updated_at=datetime.now(),
+    )
+
+    pagination = backend.server.model.Pagination(
+        total_items=1, total_pages=1, current_page=1, page_size=10
+    )
+
+    response = backend.server.v2.library.model.LibraryAgentPresetResponse(
+        presets=[preset], pagination=pagination
+    )
+
+    assert len(response.presets) == 1
+    assert response.presets[0].id == "preset-123"
+    assert response.pagination.total_items == 1
+    assert response.pagination.total_pages == 1
+    assert response.pagination.current_page == 1
+    assert response.pagination.page_size == 10
+
+
+def test_create_library_agent_preset_request():
+    request = backend.server.v2.library.model.CreateLibraryAgentPresetRequest(
+        name="New Preset",
+        description="New preset description",
+        agent_id="agent-123",
+        agent_version=1,
+        is_active=True,
+        inputs={
+            "input1": backend.data.block.BlockInput(
+                name="input1",
+                data={"type": "string", "value": "test value"},
+            )
+        },
+    )
+
+    assert request.name == "New Preset"
+    assert request.description == "New preset description"
+    assert request.agent_id == "agent-123"
+    assert request.agent_version == 1
+    assert request.is_active is True
+    assert request.inputs == {"input1": "test value"}