diff --git a/.github/workflows/platform-frontend-ci.yml b/.github/workflows/platform-frontend-ci.yml index ec7dec0017..29394392c4 100644 --- a/.github/workflows/platform-frontend-ci.yml +++ b/.github/workflows/platform-frontend-ci.yml @@ -42,7 +42,7 @@ jobs: strategy: fail-fast: false matrix: - browser: [chromium, firefox, webkit] + browser: [chromium, webkit] steps: - name: Checkout repository diff --git a/.gitignore b/.gitignore index 1838a28a61..d00ab276ce 100644 --- a/.gitignore +++ b/.gitignore @@ -173,4 +173,6 @@ LICENSE.rtf autogpt_platform/backend/settings.py /.auth /autogpt_platform/frontend/.auth -.test-contents \ No newline at end of file + +*.ign.* +.test-contents diff --git a/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py b/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py index 55fa427366..88409e413c 100644 --- a/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py +++ b/autogpt_platform/autogpt_libs/autogpt_libs/auth/depends.py @@ -35,3 +35,12 @@ def verify_user(payload: dict | None, admin_only: bool) -> User: raise fastapi.HTTPException(status_code=403, detail="Admin access required") return User.from_payload(payload) + + +def get_user_id(payload: dict = fastapi.Depends(auth_middleware)) -> str: + user_id = payload.get("sub") + if not user_id: + raise fastapi.HTTPException( + status_code=401, detail="User ID not found in token" + ) + return user_id diff --git a/autogpt_platform/backend/Dockerfile b/autogpt_platform/backend/Dockerfile index ee33b0d7d9..22b9d9bb0b 100644 --- a/autogpt_platform/backend/Dockerfile +++ b/autogpt_platform/backend/Dockerfile @@ -6,18 +6,23 @@ ENV PYTHONUNBUFFERED 1 WORKDIR /app +RUN echo 'Acquire::http::Pipeline-Depth 0;\nAcquire::http::No-Cache true;\nAcquire::BrokenProxy true;\n' > /etc/apt/apt.conf.d/99fixbadproxy + +RUN apt-get update --allow-releaseinfo-change --fix-missing + # Install build dependencies -RUN apt-get update \ - && apt-get install -y build-essential curl ffmpeg wget libcurl4-gnutls-dev libexpat1-dev libpq5 gettext libz-dev libssl-dev postgresql-client git \ - && apt-get clean \ - && rm -rf /var/lib/apt/lists/* - -ENV POETRY_VERSION=1.8.3 \ - POETRY_HOME="/opt/poetry" \ - POETRY_NO_INTERACTION=1 \ - POETRY_VIRTUALENVS_CREATE=false \ - PATH="$POETRY_HOME/bin:$PATH" +RUN apt-get install -y build-essential +RUN apt-get install -y libpq5 +RUN apt-get install -y libz-dev +RUN apt-get install -y libssl-dev +RUN apt-get install -y postgresql-client +ENV POETRY_VERSION=1.8.3 +ENV POETRY_HOME=/opt/poetry +ENV POETRY_NO_INTERACTION=1 +ENV POETRY_VIRTUALENVS_CREATE=false +ENV PATH=/opt/poetry/bin:$PATH + # Upgrade pip and setuptools to fix security vulnerabilities RUN pip3 install --upgrade pip setuptools @@ -39,11 +44,11 @@ FROM python:3.11.10-slim-bookworm AS server_dependencies WORKDIR /app -ENV POETRY_VERSION=1.8.3 \ - POETRY_HOME="/opt/poetry" \ - POETRY_NO_INTERACTION=1 \ - POETRY_VIRTUALENVS_CREATE=false \ - PATH="$POETRY_HOME/bin:$PATH" +ENV POETRY_VERSION=1.8.3 +ENV POETRY_HOME=/opt/poetry +ENV POETRY_NO_INTERACTION=1 +ENV POETRY_VIRTUALENVS_CREATE=false +ENV PATH=/opt/poetry/bin:$PATH # Upgrade pip and setuptools to fix security vulnerabilities diff --git a/autogpt_platform/backend/backend/blocks/pinecone.py b/autogpt_platform/backend/backend/blocks/pinecone.py index f1b79f4431..adfbc2e33f 100644 --- a/autogpt_platform/backend/backend/blocks/pinecone.py +++ b/autogpt_platform/backend/backend/blocks/pinecone.py @@ -143,7 +143,7 @@ class PineconeQueryBlock(Block): top_k=input_data.top_k, include_values=input_data.include_values, include_metadata=input_data.include_metadata, - ).to_dict() + ).to_dict() # type: ignore combined_text = "" if results["matches"]: texts = [ diff --git a/autogpt_platform/backend/backend/data/model.py b/autogpt_platform/backend/backend/data/model.py index 9e79fd7da3..933d2036ef 100644 --- a/autogpt_platform/backend/backend/data/model.py +++ b/autogpt_platform/backend/backend/data/model.py @@ -160,7 +160,7 @@ def SchemaField( exclude=exclude, json_schema_extra=json_extra, **kwargs, - ) + ) # type: ignore class _BaseCredentials(BaseModel): diff --git a/autogpt_platform/backend/backend/server/rest_api.py b/autogpt_platform/backend/backend/server/rest_api.py index a45824418e..2a7f84ca4b 100644 --- a/autogpt_platform/backend/backend/server/rest_api.py +++ b/autogpt_platform/backend/backend/server/rest_api.py @@ -16,6 +16,7 @@ import backend.data.db import backend.data.graph import backend.data.user import backend.server.routers.v1 +import backend.server.v2.store.routes import backend.util.service import backend.util.settings @@ -84,7 +85,10 @@ def handle_internal_http_error(status_code: int = 500, log_error: bool = True): app.add_exception_handler(ValueError, handle_internal_http_error(400)) app.add_exception_handler(Exception, handle_internal_http_error(500)) -app.include_router(backend.server.routers.v1.v1_router, tags=["v1"]) +app.include_router(backend.server.routers.v1.v1_router, tags=["v1"], prefix="/api") +app.include_router( + backend.server.v2.store.routes.router, tags=["v2"], prefix="/api/store" +) @app.get(path="/health", tags=["health"], dependencies=[]) diff --git a/autogpt_platform/backend/backend/server/routers/v1.py b/autogpt_platform/backend/backend/server/routers/v1.py index 387027337a..9c5f3522a7 100644 --- a/autogpt_platform/backend/backend/server/routers/v1.py +++ b/autogpt_platform/backend/backend/server/routers/v1.py @@ -69,8 +69,7 @@ integration_creds_manager = IntegrationCredentialsManager() _user_credit_model = get_user_credit_model() # Define the API routes -v1_router = APIRouter(prefix="/api") - +v1_router = APIRouter() v1_router.include_router( backend.server.integrations.router.router, @@ -132,7 +131,7 @@ def execute_graph_block(block_id: str, data: BlockInput) -> CompletedBlockOutput @v1_router.get(path="/credits", dependencies=[Depends(auth_middleware)]) async def get_user_credits( - user_id: Annotated[str, Depends(get_user_id)] + user_id: Annotated[str, Depends(get_user_id)], ) -> dict[str, int]: # Credits can go negative, so ensure it's at least 0 for user to see. return {"credits": max(await _user_credit_model.get_or_refill_credit(user_id), 0)} diff --git a/autogpt_platform/backend/backend/server/v2/store/__init__.py b/autogpt_platform/backend/backend/server/v2/store/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/autogpt_platform/backend/backend/server/v2/store/db.py b/autogpt_platform/backend/backend/server/v2/store/db.py new file mode 100644 index 0000000000..af761a0a47 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/db.py @@ -0,0 +1,761 @@ +import logging +import random +from datetime import datetime + +import prisma.enums +import prisma.errors +import prisma.models +import prisma.types + +import backend.server.v2.store.exceptions +import backend.server.v2.store.model + +logger = logging.getLogger(__name__) + + +async def get_store_agents( + featured: bool = False, + creator: str | None = None, + sorted_by: str | None = None, + search_query: str | None = None, + category: str | None = None, + page: int = 1, + page_size: int = 20, +) -> backend.server.v2.store.model.StoreAgentsResponse: + logger.debug( + f"Getting store agents. featured={featured}, creator={creator}, sorted_by={sorted_by}, search={search_query}, category={category}, page={page}" + ) + sanitized_query = None + # Sanitize and validate search query by escaping special characters + if search_query is not None: + sanitized_query = search_query.strip() + if not sanitized_query or len(sanitized_query) > 100: # Reasonable length limit + raise backend.server.v2.store.exceptions.DatabaseError( + "Invalid search query" + ) + + # Escape special SQL characters + sanitized_query = ( + sanitized_query.replace("\\", "\\\\") + .replace("%", "\\%") + .replace("_", "\\_") + .replace("[", "\\[") + .replace("]", "\\]") + .replace("'", "\\'") + .replace('"', '\\"') + .replace(";", "\\;") + .replace("--", "\\--") + .replace("/*", "\\/*") + .replace("*/", "\\*/") + ) + + where_clause = {} + if featured: + where_clause["featured"] = featured + if creator: + where_clause["creator_username"] = creator + if category: + where_clause["categories"] = {"has": category} + + if sanitized_query: + where_clause["OR"] = [ + {"agent_name": {"contains": sanitized_query, "mode": "insensitive"}}, + {"description": {"contains": sanitized_query, "mode": "insensitive"}}, + ] + + order_by = [] + if sorted_by == "rating": + order_by.append({"rating": "desc"}) + elif sorted_by == "runs": + order_by.append({"runs": "desc"}) + elif sorted_by == "name": + order_by.append({"agent_name": "asc"}) + + try: + agents = await prisma.models.StoreAgent.prisma().find_many( + where=prisma.types.StoreAgentWhereInput(**where_clause), + order=order_by, + skip=(page - 1) * page_size, + take=page_size, + ) + + total = await prisma.models.StoreAgent.prisma().count( + where=prisma.types.StoreAgentWhereInput(**where_clause) + ) + total_pages = (total + page_size - 1) // page_size + + store_agents = [ + backend.server.v2.store.model.StoreAgent( + slug=agent.slug, + agent_name=agent.agent_name, + agent_image=agent.agent_image[0] if agent.agent_image else "", + creator=agent.creator_username, + creator_avatar=agent.creator_avatar, + sub_heading=agent.sub_heading, + description=agent.description, + runs=agent.runs, + rating=agent.rating, + ) + for agent in agents + ] + + logger.debug(f"Found {len(store_agents)} agents") + return backend.server.v2.store.model.StoreAgentsResponse( + agents=store_agents, + pagination=backend.server.v2.store.model.Pagination( + current_page=page, + total_items=total, + total_pages=total_pages, + page_size=page_size, + ), + ) + except Exception as e: + logger.error(f"Error getting store agents: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to fetch store agents" + ) from e + + +async def get_store_agent_details( + username: str, agent_name: str +) -> backend.server.v2.store.model.StoreAgentDetails: + logger.debug(f"Getting store agent details for {username}/{agent_name}") + + try: + agent = await prisma.models.StoreAgent.prisma().find_first( + where={"creator_username": username, "slug": agent_name} + ) + + if not agent: + logger.warning(f"Agent not found: {username}/{agent_name}") + raise backend.server.v2.store.exceptions.AgentNotFoundError( + f"Agent {username}/{agent_name} not found" + ) + + logger.debug(f"Found agent details for {username}/{agent_name}") + return backend.server.v2.store.model.StoreAgentDetails( + store_listing_version_id=agent.storeListingVersionId, + slug=agent.slug, + agent_name=agent.agent_name, + agent_video=agent.agent_video or "", + agent_image=agent.agent_image, + creator=agent.creator_username, + creator_avatar=agent.creator_avatar, + sub_heading=agent.sub_heading, + description=agent.description, + categories=agent.categories, + runs=agent.runs, + rating=agent.rating, + versions=agent.versions, + last_updated=agent.updated_at, + ) + except backend.server.v2.store.exceptions.AgentNotFoundError: + raise + except Exception as e: + logger.error(f"Error getting store agent details: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to fetch agent details" + ) from e + + +async def get_store_creators( + featured: bool = False, + search_query: str | None = None, + sorted_by: str | None = None, + page: int = 1, + page_size: int = 20, +) -> backend.server.v2.store.model.CreatorsResponse: + logger.debug( + f"Getting store creators. featured={featured}, search={search_query}, sorted_by={sorted_by}, page={page}" + ) + + # Build where clause with sanitized inputs + where = {} + + # Add search filter if provided, using parameterized queries + if search_query: + # Sanitize and validate search query by escaping special characters + sanitized_query = search_query.strip() + if not sanitized_query or len(sanitized_query) > 100: # Reasonable length limit + raise backend.server.v2.store.exceptions.DatabaseError( + "Invalid search query" + ) + + # Escape special SQL characters + sanitized_query = ( + sanitized_query.replace("\\", "\\\\") + .replace("%", "\\%") + .replace("_", "\\_") + .replace("[", "\\[") + .replace("]", "\\]") + .replace("'", "\\'") + .replace('"', '\\"') + .replace(";", "\\;") + .replace("--", "\\--") + .replace("/*", "\\/*") + .replace("*/", "\\*/") + ) + + where["OR"] = [ + {"username": {"contains": sanitized_query, "mode": "insensitive"}}, + {"name": {"contains": sanitized_query, "mode": "insensitive"}}, + {"description": {"contains": sanitized_query, "mode": "insensitive"}}, + ] + + try: + # Validate pagination parameters + if not isinstance(page, int) or page < 1: + raise backend.server.v2.store.exceptions.DatabaseError( + "Invalid page number" + ) + if not isinstance(page_size, int) or page_size < 1 or page_size > 100: + raise backend.server.v2.store.exceptions.DatabaseError("Invalid page size") + + # Get total count for pagination using sanitized where clause + total = await prisma.models.Creator.prisma().count( + where=prisma.types.CreatorWhereInput(**where) + ) + total_pages = (total + page_size - 1) // page_size + + # Add pagination with validated parameters + skip = (page - 1) * page_size + take = page_size + + # Add sorting with validated sort parameter + order = [] + valid_sort_fields = {"agent_rating", "agent_runs", "num_agents"} + if sorted_by in valid_sort_fields: + order.append({sorted_by: "desc"}) + else: + order.append({"username": "asc"}) + + # Execute query with sanitized parameters + creators = await prisma.models.Creator.prisma().find_many( + where=prisma.types.CreatorWhereInput(**where), + skip=skip, + take=take, + order=order, + ) + + # Convert to response model + creator_models = [ + backend.server.v2.store.model.Creator( + username=creator.username, + name=creator.name, + description=creator.description, + avatar_url=creator.avatar_url, + num_agents=creator.num_agents, + agent_rating=creator.agent_rating, + agent_runs=creator.agent_runs, + ) + for creator in creators + ] + + logger.debug(f"Found {len(creator_models)} creators") + return backend.server.v2.store.model.CreatorsResponse( + creators=creator_models, + pagination=backend.server.v2.store.model.Pagination( + current_page=page, + total_items=total, + total_pages=total_pages, + page_size=page_size, + ), + ) + except Exception as e: + logger.error(f"Error getting store creators: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to fetch store creators" + ) from e + + +async def get_store_creator_details( + username: str, +) -> backend.server.v2.store.model.CreatorDetails: + logger.debug(f"Getting store creator details for {username}") + + try: + # Query creator details from database + creator = await prisma.models.Creator.prisma().find_unique( + where={"username": username} + ) + + if not creator: + logger.warning(f"Creator not found: {username}") + raise backend.server.v2.store.exceptions.CreatorNotFoundError( + f"Creator {username} not found" + ) + + logger.debug(f"Found creator details for {username}") + return backend.server.v2.store.model.CreatorDetails( + name=creator.name, + username=creator.username, + description=creator.description, + links=creator.links, + avatar_url=creator.avatar_url, + agent_rating=creator.agent_rating, + agent_runs=creator.agent_runs, + top_categories=creator.top_categories, + ) + except backend.server.v2.store.exceptions.CreatorNotFoundError: + raise + except Exception as e: + logger.error(f"Error getting store creator details: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to fetch creator details" + ) from e + + +async def get_store_submissions( + user_id: str, page: int = 1, page_size: int = 20 +) -> backend.server.v2.store.model.StoreSubmissionsResponse: + logger.debug(f"Getting store submissions for user {user_id}, page={page}") + + try: + # Calculate pagination values + skip = (page - 1) * page_size + + where = prisma.types.StoreSubmissionWhereInput(user_id=user_id) + # Query submissions from database + submissions = await prisma.models.StoreSubmission.prisma().find_many( + where=where, skip=skip, take=page_size, order=[{"date_submitted": "desc"}] + ) + + # Get total count for pagination + total = await prisma.models.StoreSubmission.prisma().count(where=where) + + total_pages = (total + page_size - 1) // page_size + + # Convert to response models + submission_models = [ + backend.server.v2.store.model.StoreSubmission( + agent_id=sub.agent_id, + agent_version=sub.agent_version, + name=sub.name, + sub_heading=sub.sub_heading, + slug=sub.slug, + description=sub.description, + image_urls=sub.image_urls or [], + date_submitted=sub.date_submitted or datetime.now(), + status=sub.status, + runs=sub.runs or 0, + rating=sub.rating or 0.0, + ) + for sub in submissions + ] + + logger.debug(f"Found {len(submission_models)} submissions") + return backend.server.v2.store.model.StoreSubmissionsResponse( + submissions=submission_models, + pagination=backend.server.v2.store.model.Pagination( + current_page=page, + total_items=total, + total_pages=total_pages, + page_size=page_size, + ), + ) + + except Exception as e: + logger.error(f"Error fetching store submissions: {str(e)}") + # Return empty response rather than exposing internal errors + return backend.server.v2.store.model.StoreSubmissionsResponse( + submissions=[], + pagination=backend.server.v2.store.model.Pagination( + current_page=page, + total_items=0, + total_pages=0, + page_size=page_size, + ), + ) + + +async def delete_store_submission( + user_id: str, + submission_id: str, +) -> bool: + """ + Delete a store listing submission. + + Args: + user_id: ID of the authenticated user + submission_id: ID of the submission to be deleted + + Returns: + bool: True if the submission was successfully deleted, False otherwise + """ + logger.debug(f"Deleting store submission {submission_id} for user {user_id}") + + try: + # Verify the submission belongs to this user + submission = await prisma.models.StoreListing.prisma().find_first( + where={"agentId": submission_id, "owningUserId": user_id} + ) + + if not submission: + logger.warning(f"Submission not found for user {user_id}: {submission_id}") + raise backend.server.v2.store.exceptions.SubmissionNotFoundError( + f"Submission not found for this user. User ID: {user_id}, Submission ID: {submission_id}" + ) + + # Delete the submission + await prisma.models.StoreListing.prisma().delete( + where=prisma.types.StoreListingWhereUniqueInput(id=submission.id) + ) + + logger.debug( + f"Successfully deleted submission {submission_id} for user {user_id}" + ) + return True + + except Exception as e: + logger.error(f"Error deleting store submission: {str(e)}") + return False + + +async def create_store_submission( + user_id: str, + agent_id: str, + agent_version: int, + slug: str, + name: str, + video_url: str | None = None, + image_urls: list[str] = [], + description: str = "", + sub_heading: str = "", + categories: list[str] = [], +) -> backend.server.v2.store.model.StoreSubmission: + """ + Create a new store listing submission. + + Args: + user_id: ID of the authenticated user submitting the listing + agent_id: ID of the agent being submitted + agent_version: Version of the agent being submitted + slug: URL slug for the listing + name: Name of the agent + video_url: Optional URL to video demo + image_urls: List of image URLs for the listing + description: Description of the agent + categories: List of categories for the agent + + Returns: + StoreSubmission: The created store submission + """ + logger.debug( + f"Creating store submission for user {user_id}, agent {agent_id} v{agent_version}" + ) + + try: + # First verify the agent belongs to this user + agent = await prisma.models.AgentGraph.prisma().find_first( + where=prisma.types.AgentGraphWhereInput( + id=agent_id, version=agent_version, userId=user_id + ) + ) + + if not agent: + logger.warning( + f"Agent not found for user {user_id}: {agent_id} v{agent_version}" + ) + raise backend.server.v2.store.exceptions.AgentNotFoundError( + f"Agent not found for this user. User ID: {user_id}, Agent ID: {agent_id}, Version: {agent_version}" + ) + + listing = await prisma.models.StoreListing.prisma().find_first( + where=prisma.types.StoreListingWhereInput( + agentId=agent_id, owningUserId=user_id + ) + ) + if listing is not None: + logger.warning(f"Listing already exists for agent {agent_id}") + raise backend.server.v2.store.exceptions.ListingExistsError( + "Listing already exists for this agent" + ) + + # Create the store listing + listing = await prisma.models.StoreListing.prisma().create( + data={ + "agentId": agent_id, + "agentVersion": agent_version, + "owningUserId": user_id, + "createdAt": datetime.now(), + "StoreListingVersions": { + "create": { + "agentId": agent_id, + "agentVersion": agent_version, + "slug": slug, + "name": name, + "videoUrl": video_url, + "imageUrls": image_urls, + "description": description, + "categories": categories, + "subHeading": sub_heading, + } + }, + } + ) + + logger.debug(f"Created store listing for agent {agent_id}") + # Return submission details + return backend.server.v2.store.model.StoreSubmission( + agent_id=agent_id, + agent_version=agent_version, + name=name, + slug=slug, + sub_heading=sub_heading, + description=description, + image_urls=image_urls, + date_submitted=listing.createdAt, + status=prisma.enums.SubmissionStatus.PENDING, + runs=0, + rating=0.0, + ) + + except ( + backend.server.v2.store.exceptions.AgentNotFoundError, + backend.server.v2.store.exceptions.ListingExistsError, + ): + raise + except prisma.errors.PrismaError as e: + logger.error(f"Database error creating store submission: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to create store submission" + ) from e + + +async def create_store_review( + user_id: str, + store_listing_version_id: str, + score: int, + comments: str | None = None, +) -> backend.server.v2.store.model.StoreReview: + try: + review = await prisma.models.StoreListingReview.prisma().upsert( + where={ + "storeListingVersionId_reviewByUserId": { + "storeListingVersionId": store_listing_version_id, + "reviewByUserId": user_id, + } + }, + data={ + "create": { + "reviewByUserId": user_id, + "storeListingVersionId": store_listing_version_id, + "score": score, + "comments": comments, + }, + "update": { + "score": score, + "comments": comments, + }, + }, + ) + + return backend.server.v2.store.model.StoreReview( + score=review.score, + comments=review.comments, + ) + + except prisma.errors.PrismaError as e: + logger.error(f"Database error creating store review: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to create store review" + ) from e + + +async def get_user_profile( + user_id: str, +) -> backend.server.v2.store.model.ProfileDetails: + logger.debug(f"Getting user profile for {user_id}") + + try: + profile = await prisma.models.Profile.prisma().find_first( + where={"userId": user_id} # type: ignore + ) + + if not profile: + logger.warning(f"Profile not found for user {user_id}") + await prisma.models.Profile.prisma().create( + data=prisma.types.ProfileCreateInput( + userId=user_id, + name="No Profile Data", + username=f"{random.choice(['happy', 'clever', 'swift', 'bright', 'wise'])}-{random.choice(['fox', 'wolf', 'bear', 'eagle', 'owl'])}_{random.randint(1000,9999)}", + description="No Profile Data", + links=[], + avatarUrl="", + ) + ) + return backend.server.v2.store.model.ProfileDetails( + name="No Profile Data", + username="No Profile Data", + description="No Profile Data", + links=[], + avatar_url="", + ) + + return backend.server.v2.store.model.ProfileDetails( + name=profile.name, + username=profile.username, + description=profile.description, + links=profile.links, + avatar_url=profile.avatarUrl, + ) + except Exception as e: + logger.error(f"Error getting user profile: {str(e)}") + return backend.server.v2.store.model.ProfileDetails( + name="No Profile Data", + username="No Profile Data", + description="No Profile Data", + links=[], + avatar_url="", + ) + + +async def update_or_create_profile( + user_id: str, profile: backend.server.v2.store.model.Profile +) -> backend.server.v2.store.model.CreatorDetails: + """ + Update the store profile for a user. Creates a new profile if one doesn't exist. + Only allows updating if the user_id matches the owning user. + + Args: + user_id: ID of the authenticated user + profile: Updated profile details + + Returns: + CreatorDetails: The updated profile + + Raises: + HTTPException: If user is not authorized to update this profile + """ + logger.debug(f"Updating profile for user {user_id}") + + try: + # Check if profile exists for user + existing_profile = await prisma.models.Profile.prisma().find_first( + where={"userId": user_id} + ) + + # If no profile exists, create a new one + if not existing_profile: + logger.debug(f"Creating new profile for user {user_id}") + # Create new profile since one doesn't exist + new_profile = await prisma.models.Profile.prisma().create( + data={ + "userId": user_id, + "name": profile.name, + "username": profile.username, + "description": profile.description, + "links": profile.links, + "avatarUrl": profile.avatar_url, + } + ) + + return backend.server.v2.store.model.CreatorDetails( + name=new_profile.name, + username=new_profile.username, + description=new_profile.description, + links=new_profile.links, + avatar_url=new_profile.avatarUrl or "", + agent_rating=0.0, + agent_runs=0, + top_categories=[], + ) + else: + logger.debug(f"Updating existing profile for user {user_id}") + # Update the existing profile + updated_profile = await prisma.models.Profile.prisma().update( + where={"id": existing_profile.id}, + data=prisma.types.ProfileUpdateInput( + name=profile.name, + username=profile.username, + description=profile.description, + links=profile.links, + avatarUrl=profile.avatar_url, + ), + ) + if updated_profile is None: + logger.error(f"Failed to update profile for user {user_id}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to update profile" + ) + + return backend.server.v2.store.model.CreatorDetails( + name=updated_profile.name, + username=updated_profile.username, + description=updated_profile.description, + links=updated_profile.links, + avatar_url=updated_profile.avatarUrl or "", + agent_rating=0.0, + agent_runs=0, + top_categories=[], + ) + + except prisma.errors.PrismaError as e: + logger.error(f"Database error updating profile: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to update profile" + ) from e + + +async def get_my_agents( + user_id: str, + page: int = 1, + page_size: int = 20, +) -> backend.server.v2.store.model.MyAgentsResponse: + logger.debug(f"Getting my agents for user {user_id}, page={page}") + + try: + agents_with_max_version = await prisma.models.AgentGraph.prisma().find_many( + where=prisma.types.AgentGraphWhereInput( + userId=user_id, StoreListing={"none": {"isDeleted": False}} + ), + order=[{"version": "desc"}], + distinct=["id"], + skip=(page - 1) * page_size, + take=page_size, + ) + + # store_listings = await prisma.models.StoreListing.prisma().find_many( + # where=prisma.types.StoreListingWhereInput( + # isDeleted=False, + # ), + # ) + + total = len( + await prisma.models.AgentGraph.prisma().find_many( + where=prisma.types.AgentGraphWhereInput( + userId=user_id, StoreListing={"none": {"isDeleted": False}} + ), + order=[{"version": "desc"}], + distinct=["id"], + ) + ) + + total_pages = (total + page_size - 1) // page_size + + agents = agents_with_max_version + + my_agents = [ + backend.server.v2.store.model.MyAgent( + agent_id=agent.id, + agent_version=agent.version, + agent_name=agent.name or "", + last_edited=agent.updatedAt or agent.createdAt, + ) + for agent in agents + ] + + return backend.server.v2.store.model.MyAgentsResponse( + agents=my_agents, + pagination=backend.server.v2.store.model.Pagination( + current_page=page, + total_items=total, + total_pages=total_pages, + page_size=page_size, + ), + ) + except Exception as e: + logger.error(f"Error getting my agents: {str(e)}") + raise backend.server.v2.store.exceptions.DatabaseError( + "Failed to fetch my agents" + ) from e diff --git a/autogpt_platform/backend/backend/server/v2/store/db_test.py b/autogpt_platform/backend/backend/server/v2/store/db_test.py new file mode 100644 index 0000000000..2744932783 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/db_test.py @@ -0,0 +1,260 @@ +from datetime import datetime + +import prisma.errors +import prisma.models +import pytest +from prisma import Prisma + +import backend.server.v2.store.db as db +from backend.server.v2.store.model import Profile + + +@pytest.fixture(autouse=True) +async def setup_prisma(): + # Don't register client if already registered + try: + Prisma() + except prisma.errors.ClientAlreadyRegisteredError: + pass + yield + + +@pytest.mark.asyncio +async def test_get_store_agents(mocker): + # Mock data + mock_agents = [ + prisma.models.StoreAgent( + listing_id="test-id", + storeListingVersionId="version123", + slug="test-agent", + agent_name="Test Agent", + agent_video=None, + agent_image=["image.jpg"], + featured=False, + creator_username="creator", + creator_avatar="avatar.jpg", + sub_heading="Test heading", + description="Test description", + categories=[], + runs=10, + rating=4.5, + versions=["1.0"], + updated_at=datetime.now(), + ) + ] + + # Mock prisma calls + mock_store_agent = mocker.patch("prisma.models.StoreAgent.prisma") + mock_store_agent.return_value.find_many = mocker.AsyncMock(return_value=mock_agents) + mock_store_agent.return_value.count = mocker.AsyncMock(return_value=1) + + # Call function + result = await db.get_store_agents() + + # Verify results + assert len(result.agents) == 1 + assert result.agents[0].slug == "test-agent" + assert result.pagination.total_items == 1 + + # Verify mocks called correctly + mock_store_agent.return_value.find_many.assert_called_once() + mock_store_agent.return_value.count.assert_called_once() + + +@pytest.mark.asyncio +async def test_get_store_agent_details(mocker): + # Mock data + mock_agent = prisma.models.StoreAgent( + listing_id="test-id", + storeListingVersionId="version123", + slug="test-agent", + agent_name="Test Agent", + agent_video="video.mp4", + agent_image=["image.jpg"], + featured=False, + creator_username="creator", + creator_avatar="avatar.jpg", + sub_heading="Test heading", + description="Test description", + categories=["test"], + runs=10, + rating=4.5, + versions=["1.0"], + updated_at=datetime.now(), + ) + + # Mock prisma call + mock_store_agent = mocker.patch("prisma.models.StoreAgent.prisma") + mock_store_agent.return_value.find_first = mocker.AsyncMock(return_value=mock_agent) + + # Call function + result = await db.get_store_agent_details("creator", "test-agent") + + # Verify results + assert result.slug == "test-agent" + assert result.agent_name == "Test Agent" + + # Verify mock called correctly + mock_store_agent.return_value.find_first.assert_called_once_with( + where={"creator_username": "creator", "slug": "test-agent"} + ) + + +@pytest.mark.asyncio +async def test_get_store_creator_details(mocker): + # Mock data + mock_creator_data = prisma.models.Creator( + name="Test Creator", + username="creator", + description="Test description", + links=["link1"], + avatar_url="avatar.jpg", + num_agents=1, + agent_rating=4.5, + agent_runs=10, + top_categories=["test"], + ) + + # Mock prisma call + mock_creator = mocker.patch("prisma.models.Creator.prisma") + mock_creator.return_value.find_unique = mocker.AsyncMock() + # Configure the mock to return values that will pass validation + mock_creator.return_value.find_unique.return_value = mock_creator_data + + # Call function + result = await db.get_store_creator_details("creator") + + # Verify results + assert result.username == "creator" + assert result.name == "Test Creator" + assert result.description == "Test description" + assert result.avatar_url == "avatar.jpg" + + # Verify mock called correctly + mock_creator.return_value.find_unique.assert_called_once_with( + where={"username": "creator"} + ) + + +@pytest.mark.asyncio +async def test_create_store_submission(mocker): + # Mock data + mock_agent = prisma.models.AgentGraph( + id="agent-id", + version=1, + userId="user-id", + createdAt=datetime.now(), + isActive=True, + isTemplate=False, + ) + + mock_listing = prisma.models.StoreListing( + id="listing-id", + createdAt=datetime.now(), + updatedAt=datetime.now(), + isDeleted=False, + isApproved=False, + agentId="agent-id", + agentVersion=1, + owningUserId="user-id", + ) + + # Mock prisma calls + mock_agent_graph = mocker.patch("prisma.models.AgentGraph.prisma") + mock_agent_graph.return_value.find_first = mocker.AsyncMock(return_value=mock_agent) + + mock_store_listing = mocker.patch("prisma.models.StoreListing.prisma") + mock_store_listing.return_value.find_first = mocker.AsyncMock(return_value=None) + mock_store_listing.return_value.create = mocker.AsyncMock(return_value=mock_listing) + + # Call function + result = await db.create_store_submission( + user_id="user-id", + agent_id="agent-id", + agent_version=1, + slug="test-agent", + name="Test Agent", + description="Test description", + ) + + # Verify results + assert result.name == "Test Agent" + assert result.description == "Test description" + + # Verify mocks called correctly + mock_agent_graph.return_value.find_first.assert_called_once() + mock_store_listing.return_value.find_first.assert_called_once() + mock_store_listing.return_value.create.assert_called_once() + + +@pytest.mark.asyncio +async def test_update_profile(mocker): + # Mock data + mock_profile = prisma.models.Profile( + id="profile-id", + name="Test Creator", + username="creator", + description="Test description", + links=["link1"], + avatarUrl="avatar.jpg", + createdAt=datetime.now(), + updatedAt=datetime.now(), + ) + + # Mock prisma calls + mock_profile_db = mocker.patch("prisma.models.Profile.prisma") + mock_profile_db.return_value.find_first = mocker.AsyncMock( + return_value=mock_profile + ) + mock_profile_db.return_value.update = mocker.AsyncMock(return_value=mock_profile) + + # Test data + profile = Profile( + name="Test Creator", + username="creator", + description="Test description", + links=["link1"], + avatar_url="avatar.jpg", + ) + + # Call function + result = await db.update_or_create_profile("user-id", profile) + + # Verify results + assert result.username == "creator" + assert result.name == "Test Creator" + + # Verify mocks called correctly + mock_profile_db.return_value.find_first.assert_called_once() + mock_profile_db.return_value.update.assert_called_once() + + +@pytest.mark.asyncio +async def test_get_user_profile(mocker): + # Mock data + mock_profile = prisma.models.Profile( + id="profile-id", + name="No Profile Data", + username="testuser", + description="Test description", + links=["link1", "link2"], + avatarUrl="avatar.jpg", + createdAt=datetime.now(), + updatedAt=datetime.now(), + ) + + # Mock prisma calls + mock_profile_db = mocker.patch("prisma.models.Profile.prisma") + mock_profile_db.return_value.find_unique = mocker.AsyncMock( + return_value=mock_profile + ) + + # Call function + result = await db.get_user_profile("user-id") + + # Verify results + assert result.name == "No Profile Data" + assert result.username == "No Profile Data" + assert result.description == "No Profile Data" + assert result.links == [] + assert result.avatar_url == "" diff --git a/autogpt_platform/backend/backend/server/v2/store/exceptions.py b/autogpt_platform/backend/backend/server/v2/store/exceptions.py new file mode 100644 index 0000000000..f63264be4d --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/exceptions.py @@ -0,0 +1,76 @@ +class MediaUploadError(Exception): + """Base exception for media upload errors""" + + pass + + +class InvalidFileTypeError(MediaUploadError): + """Raised when file type is not supported""" + + pass + + +class FileSizeTooLargeError(MediaUploadError): + """Raised when file size exceeds maximum limit""" + + pass + + +class FileReadError(MediaUploadError): + """Raised when there's an error reading the file""" + + pass + + +class StorageConfigError(MediaUploadError): + """Raised when storage configuration is invalid""" + + pass + + +class StorageUploadError(MediaUploadError): + """Raised when upload to storage fails""" + + pass + + +class StoreError(Exception): + """Base exception for store-related errors""" + + pass + + +class AgentNotFoundError(StoreError): + """Raised when an agent is not found""" + + pass + + +class CreatorNotFoundError(StoreError): + """Raised when a creator is not found""" + + pass + + +class ListingExistsError(StoreError): + """Raised when trying to create a listing that already exists""" + + pass + + +class DatabaseError(StoreError): + """Raised when there is an error interacting with the database""" + + pass + + +class ProfileNotFoundError(StoreError): + """Raised when a profile is not found""" + + pass + + +class SubmissionNotFoundError(StoreError): + """Raised when a submission is not found""" + + pass diff --git a/autogpt_platform/backend/backend/server/v2/store/media.py b/autogpt_platform/backend/backend/server/v2/store/media.py new file mode 100644 index 0000000000..a737a667b5 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/media.py @@ -0,0 +1,157 @@ +import logging +import os +import uuid + +import fastapi +from google.cloud import storage + +import backend.server.v2.store.exceptions +from backend.util.settings import Settings + +logger = logging.getLogger(__name__) + +ALLOWED_IMAGE_TYPES = {"image/jpeg", "image/png", "image/gif", "image/webp"} +ALLOWED_VIDEO_TYPES = {"video/mp4", "video/webm"} +MAX_FILE_SIZE = 50 * 1024 * 1024 # 50MB + + +async def upload_media(user_id: str, file: fastapi.UploadFile) -> str: + + # Get file content for deeper validation + try: + content = await file.read(1024) # Read first 1KB for validation + await file.seek(0) # Reset file pointer + except Exception as e: + logger.error(f"Error reading file content: {str(e)}") + raise backend.server.v2.store.exceptions.FileReadError( + "Failed to read file content" + ) from e + + # Validate file signature/magic bytes + if file.content_type in ALLOWED_IMAGE_TYPES: + # Check image file signatures + if content.startswith(b"\xFF\xD8\xFF"): # JPEG + if file.content_type != "image/jpeg": + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "File signature does not match content type" + ) + elif content.startswith(b"\x89PNG\r\n\x1a\n"): # PNG + if file.content_type != "image/png": + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "File signature does not match content type" + ) + elif content.startswith(b"GIF87a") or content.startswith(b"GIF89a"): # GIF + if file.content_type != "image/gif": + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "File signature does not match content type" + ) + elif content.startswith(b"RIFF") and content[8:12] == b"WEBP": # WebP + if file.content_type != "image/webp": + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "File signature does not match content type" + ) + else: + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "Invalid image file signature" + ) + + elif file.content_type in ALLOWED_VIDEO_TYPES: + # Check video file signatures + if content.startswith(b"\x00\x00\x00") and (content[4:8] == b"ftyp"): # MP4 + if file.content_type != "video/mp4": + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "File signature does not match content type" + ) + elif content.startswith(b"\x1a\x45\xdf\xa3"): # WebM + if file.content_type != "video/webm": + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "File signature does not match content type" + ) + else: + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + "Invalid video file signature" + ) + + settings = Settings() + + # Check required settings first before doing any file processing + if ( + not settings.config.media_gcs_bucket_name + or not settings.config.google_application_credentials + ): + logger.error("Missing required GCS settings") + raise backend.server.v2.store.exceptions.StorageConfigError( + "Missing storage configuration" + ) + + try: + # Validate file type + content_type = file.content_type + if ( + content_type not in ALLOWED_IMAGE_TYPES + and content_type not in ALLOWED_VIDEO_TYPES + ): + logger.warning(f"Invalid file type attempted: {content_type}") + raise backend.server.v2.store.exceptions.InvalidFileTypeError( + f"File type not supported. Must be jpeg, png, gif, webp, mp4 or webm. Content type: {content_type}" + ) + + # Validate file size + file_size = 0 + chunk_size = 8192 # 8KB chunks + + try: + while chunk := await file.read(chunk_size): + file_size += len(chunk) + if file_size > MAX_FILE_SIZE: + logger.warning(f"File size too large: {file_size} bytes") + raise backend.server.v2.store.exceptions.FileSizeTooLargeError( + "File too large. Maximum size is 50MB" + ) + except backend.server.v2.store.exceptions.FileSizeTooLargeError: + raise + except Exception as e: + logger.error(f"Error reading file chunks: {str(e)}") + raise backend.server.v2.store.exceptions.FileReadError( + "Failed to read uploaded file" + ) from e + + # Reset file pointer + await file.seek(0) + + # Generate unique filename + filename = file.filename or "" + file_ext = os.path.splitext(filename)[1].lower() + unique_filename = f"{uuid.uuid4()}{file_ext}" + + # Construct storage path + media_type = "images" if content_type in ALLOWED_IMAGE_TYPES else "videos" + storage_path = f"users/{user_id}/{media_type}/{unique_filename}" + + try: + storage_client = storage.Client() + bucket = storage_client.bucket(settings.config.media_gcs_bucket_name) + blob = bucket.blob(storage_path) + blob.content_type = content_type + + file_bytes = await file.read() + blob.upload_from_string(file_bytes, content_type=content_type) + + public_url = blob.public_url + + logger.info(f"Successfully uploaded file to: {storage_path}") + return public_url + + except Exception as e: + logger.error(f"GCS storage error: {str(e)}") + raise backend.server.v2.store.exceptions.StorageUploadError( + "Failed to upload file to storage" + ) from e + + except backend.server.v2.store.exceptions.MediaUploadError: + raise + except Exception as e: + logger.exception("Unexpected error in upload_media") + raise backend.server.v2.store.exceptions.MediaUploadError( + "Unexpected error during media upload" + ) from e diff --git a/autogpt_platform/backend/backend/server/v2/store/media_test.py b/autogpt_platform/backend/backend/server/v2/store/media_test.py new file mode 100644 index 0000000000..bd5222e4f7 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/media_test.py @@ -0,0 +1,190 @@ +import io +import unittest.mock + +import fastapi +import pytest +import starlette.datastructures + +import backend.server.v2.store.exceptions +import backend.server.v2.store.media +from backend.util.settings import Settings + + +@pytest.fixture +def mock_settings(monkeypatch): + settings = Settings() + settings.config.media_gcs_bucket_name = "test-bucket" + settings.config.google_application_credentials = "test-credentials" + monkeypatch.setattr("backend.server.v2.store.media.Settings", lambda: settings) + return settings + + +@pytest.fixture +def mock_storage_client(mocker): + mock_client = unittest.mock.MagicMock() + mock_bucket = unittest.mock.MagicMock() + mock_blob = unittest.mock.MagicMock() + + mock_client.bucket.return_value = mock_bucket + mock_bucket.blob.return_value = mock_blob + mock_blob.public_url = "http://test-url/media/laptop.jpeg" + + mocker.patch("google.cloud.storage.Client", return_value=mock_client) + + return mock_client + + +async def test_upload_media_success(mock_settings, mock_storage_client): + # Create test JPEG data with valid signature + test_data = b"\xFF\xD8\xFF" + b"test data" + + test_file = fastapi.UploadFile( + filename="laptop.jpeg", + file=io.BytesIO(test_data), + headers=starlette.datastructures.Headers({"content-type": "image/jpeg"}), + ) + + result = await backend.server.v2.store.media.upload_media("test-user", test_file) + + assert result == "http://test-url/media/laptop.jpeg" + mock_bucket = mock_storage_client.bucket.return_value + mock_blob = mock_bucket.blob.return_value + mock_blob.upload_from_string.assert_called_once() + + +async def test_upload_media_invalid_type(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.txt", + file=io.BytesIO(b"test data"), + headers=starlette.datastructures.Headers({"content-type": "text/plain"}), + ) + + with pytest.raises(backend.server.v2.store.exceptions.InvalidFileTypeError): + await backend.server.v2.store.media.upload_media("test-user", test_file) + + mock_bucket = mock_storage_client.bucket.return_value + mock_blob = mock_bucket.blob.return_value + mock_blob.upload_from_string.assert_not_called() + + +async def test_upload_media_missing_credentials(monkeypatch): + settings = Settings() + settings.config.media_gcs_bucket_name = "" + settings.config.google_application_credentials = "" + monkeypatch.setattr("backend.server.v2.store.media.Settings", lambda: settings) + + test_file = fastapi.UploadFile( + filename="laptop.jpeg", + file=io.BytesIO(b"\xFF\xD8\xFF" + b"test data"), # Valid JPEG signature + headers=starlette.datastructures.Headers({"content-type": "image/jpeg"}), + ) + + with pytest.raises(backend.server.v2.store.exceptions.StorageConfigError): + await backend.server.v2.store.media.upload_media("test-user", test_file) + + +async def test_upload_media_video_type(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.mp4", + file=io.BytesIO(b"\x00\x00\x00\x18ftypmp42"), # Valid MP4 signature + headers=starlette.datastructures.Headers({"content-type": "video/mp4"}), + ) + + result = await backend.server.v2.store.media.upload_media("test-user", test_file) + + assert result == "http://test-url/media/laptop.jpeg" + mock_bucket = mock_storage_client.bucket.return_value + mock_blob = mock_bucket.blob.return_value + mock_blob.upload_from_string.assert_called_once() + + +async def test_upload_media_file_too_large(mock_settings, mock_storage_client): + large_data = b"\xFF\xD8\xFF" + b"x" * ( + 50 * 1024 * 1024 + 1 + ) # 50MB + 1 byte with valid JPEG signature + test_file = fastapi.UploadFile( + filename="laptop.jpeg", + file=io.BytesIO(large_data), + headers=starlette.datastructures.Headers({"content-type": "image/jpeg"}), + ) + + with pytest.raises(backend.server.v2.store.exceptions.FileSizeTooLargeError): + await backend.server.v2.store.media.upload_media("test-user", test_file) + + +async def test_upload_media_file_read_error(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="laptop.jpeg", + file=io.BytesIO(b""), # Empty file that will raise error on read + headers=starlette.datastructures.Headers({"content-type": "image/jpeg"}), + ) + test_file.read = unittest.mock.AsyncMock(side_effect=Exception("Read error")) + + with pytest.raises(backend.server.v2.store.exceptions.FileReadError): + await backend.server.v2.store.media.upload_media("test-user", test_file) + + +async def test_upload_media_png_success(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.png", + file=io.BytesIO(b"\x89PNG\r\n\x1a\n"), # Valid PNG signature + headers=starlette.datastructures.Headers({"content-type": "image/png"}), + ) + + result = await backend.server.v2.store.media.upload_media("test-user", test_file) + assert result == "http://test-url/media/laptop.jpeg" + + +async def test_upload_media_gif_success(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.gif", + file=io.BytesIO(b"GIF89a"), # Valid GIF signature + headers=starlette.datastructures.Headers({"content-type": "image/gif"}), + ) + + result = await backend.server.v2.store.media.upload_media("test-user", test_file) + assert result == "http://test-url/media/laptop.jpeg" + + +async def test_upload_media_webp_success(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.webp", + file=io.BytesIO(b"RIFF\x00\x00\x00\x00WEBP"), # Valid WebP signature + headers=starlette.datastructures.Headers({"content-type": "image/webp"}), + ) + + result = await backend.server.v2.store.media.upload_media("test-user", test_file) + assert result == "http://test-url/media/laptop.jpeg" + + +async def test_upload_media_webm_success(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.webm", + file=io.BytesIO(b"\x1a\x45\xdf\xa3"), # Valid WebM signature + headers=starlette.datastructures.Headers({"content-type": "video/webm"}), + ) + + result = await backend.server.v2.store.media.upload_media("test-user", test_file) + assert result == "http://test-url/media/laptop.jpeg" + + +async def test_upload_media_mismatched_signature(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.jpeg", + file=io.BytesIO(b"\x89PNG\r\n\x1a\n"), # PNG signature with JPEG content type + headers=starlette.datastructures.Headers({"content-type": "image/jpeg"}), + ) + + with pytest.raises(backend.server.v2.store.exceptions.InvalidFileTypeError): + await backend.server.v2.store.media.upload_media("test-user", test_file) + + +async def test_upload_media_invalid_signature(mock_settings, mock_storage_client): + test_file = fastapi.UploadFile( + filename="test.jpeg", + file=io.BytesIO(b"invalid signature"), + headers=starlette.datastructures.Headers({"content-type": "image/jpeg"}), + ) + + with pytest.raises(backend.server.v2.store.exceptions.InvalidFileTypeError): + await backend.server.v2.store.media.upload_media("test-user", test_file) diff --git a/autogpt_platform/backend/backend/server/v2/store/model.py b/autogpt_platform/backend/backend/server/v2/store/model.py new file mode 100644 index 0000000000..baba79d6bf --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/model.py @@ -0,0 +1,150 @@ +import datetime +from typing import List + +import prisma.enums +import pydantic + + +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] + ) + + +class MyAgent(pydantic.BaseModel): + agent_id: str + agent_version: int + agent_name: str + last_edited: datetime.datetime + + +class MyAgentsResponse(pydantic.BaseModel): + agents: list[MyAgent] + pagination: Pagination + + +class StoreAgent(pydantic.BaseModel): + slug: str + agent_name: str + agent_image: str + creator: str + creator_avatar: str + sub_heading: str + description: str + runs: int + rating: float + + +class StoreAgentsResponse(pydantic.BaseModel): + agents: list[StoreAgent] + pagination: Pagination + + +class StoreAgentDetails(pydantic.BaseModel): + store_listing_version_id: str + slug: str + agent_name: str + agent_video: str + agent_image: list[str] + creator: str + creator_avatar: str + sub_heading: str + description: str + categories: list[str] + runs: int + rating: float + versions: list[str] + last_updated: datetime.datetime + + +class Creator(pydantic.BaseModel): + name: str + username: str + description: str + avatar_url: str + num_agents: int + agent_rating: float + agent_runs: int + + +class CreatorsResponse(pydantic.BaseModel): + creators: List[Creator] + pagination: Pagination + + +class CreatorDetails(pydantic.BaseModel): + name: str + username: str + description: str + links: list[str] + avatar_url: str + agent_rating: float + agent_runs: int + top_categories: list[str] + + +class Profile(pydantic.BaseModel): + name: str + username: str + description: str + links: list[str] + avatar_url: str + + +class StoreSubmission(pydantic.BaseModel): + agent_id: str + agent_version: int + name: str + sub_heading: str + slug: str + description: str + image_urls: list[str] + date_submitted: datetime.datetime + status: prisma.enums.SubmissionStatus + runs: int + rating: float + + +class StoreSubmissionsResponse(pydantic.BaseModel): + submissions: list[StoreSubmission] + pagination: Pagination + + +class StoreSubmissionRequest(pydantic.BaseModel): + agent_id: str + agent_version: int + slug: str + name: str + sub_heading: str + video_url: str | None = None + image_urls: list[str] = [] + description: str = "" + categories: list[str] = [] + + +class ProfileDetails(pydantic.BaseModel): + name: str + username: str + description: str + links: list[str] + avatar_url: str | None = None + + +class StoreReview(pydantic.BaseModel): + score: int + comments: str | None = None + + +class StoreReviewCreate(pydantic.BaseModel): + store_listing_version_id: str + score: int + comments: str | None = None diff --git a/autogpt_platform/backend/backend/server/v2/store/model_test.py b/autogpt_platform/backend/backend/server/v2/store/model_test.py new file mode 100644 index 0000000000..3887357890 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/model_test.py @@ -0,0 +1,193 @@ +import datetime + +import prisma.enums + +import backend.server.v2.store.model + + +def test_pagination(): + pagination = backend.server.v2.store.model.Pagination( + total_items=100, total_pages=5, current_page=2, page_size=20 + ) + assert pagination.total_items == 100 + assert pagination.total_pages == 5 + assert pagination.current_page == 2 + assert pagination.page_size == 20 + + +def test_store_agent(): + agent = backend.server.v2.store.model.StoreAgent( + slug="test-agent", + agent_name="Test Agent", + agent_image="test.jpg", + creator="creator1", + creator_avatar="avatar.jpg", + sub_heading="Test subheading", + description="Test description", + runs=50, + rating=4.5, + ) + assert agent.slug == "test-agent" + assert agent.agent_name == "Test Agent" + assert agent.runs == 50 + assert agent.rating == 4.5 + + +def test_store_agents_response(): + response = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug="test-agent", + agent_name="Test Agent", + agent_image="test.jpg", + creator="creator1", + creator_avatar="avatar.jpg", + sub_heading="Test subheading", + description="Test description", + runs=50, + rating=4.5, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + total_items=1, total_pages=1, current_page=1, page_size=20 + ), + ) + assert len(response.agents) == 1 + assert response.pagination.total_items == 1 + + +def test_store_agent_details(): + details = backend.server.v2.store.model.StoreAgentDetails( + store_listing_version_id="version123", + slug="test-agent", + agent_name="Test Agent", + agent_video="video.mp4", + agent_image=["image1.jpg", "image2.jpg"], + creator="creator1", + creator_avatar="avatar.jpg", + sub_heading="Test subheading", + description="Test description", + categories=["cat1", "cat2"], + runs=50, + rating=4.5, + versions=["1.0", "2.0"], + last_updated=datetime.datetime.now(), + ) + assert details.slug == "test-agent" + assert len(details.agent_image) == 2 + assert len(details.categories) == 2 + assert len(details.versions) == 2 + + +def test_creator(): + creator = backend.server.v2.store.model.Creator( + agent_rating=4.8, + agent_runs=1000, + name="Test Creator", + username="creator1", + description="Test description", + avatar_url="avatar.jpg", + num_agents=5, + ) + assert creator.name == "Test Creator" + assert creator.num_agents == 5 + + +def test_creators_response(): + response = backend.server.v2.store.model.CreatorsResponse( + creators=[ + backend.server.v2.store.model.Creator( + agent_rating=4.8, + agent_runs=1000, + name="Test Creator", + username="creator1", + description="Test description", + avatar_url="avatar.jpg", + num_agents=5, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + total_items=1, total_pages=1, current_page=1, page_size=20 + ), + ) + assert len(response.creators) == 1 + assert response.pagination.total_items == 1 + + +def test_creator_details(): + details = backend.server.v2.store.model.CreatorDetails( + name="Test Creator", + username="creator1", + description="Test description", + links=["link1.com", "link2.com"], + avatar_url="avatar.jpg", + agent_rating=4.8, + agent_runs=1000, + top_categories=["cat1", "cat2"], + ) + assert details.name == "Test Creator" + assert len(details.links) == 2 + assert details.agent_rating == 4.8 + assert len(details.top_categories) == 2 + + +def test_store_submission(): + submission = backend.server.v2.store.model.StoreSubmission( + agent_id="agent123", + agent_version=1, + sub_heading="Test subheading", + name="Test Agent", + slug="test-agent", + description="Test description", + image_urls=["image1.jpg", "image2.jpg"], + date_submitted=datetime.datetime(2023, 1, 1), + status=prisma.enums.SubmissionStatus.PENDING, + runs=50, + rating=4.5, + ) + assert submission.name == "Test Agent" + assert len(submission.image_urls) == 2 + assert submission.status == prisma.enums.SubmissionStatus.PENDING + + +def test_store_submissions_response(): + response = backend.server.v2.store.model.StoreSubmissionsResponse( + submissions=[ + backend.server.v2.store.model.StoreSubmission( + agent_id="agent123", + agent_version=1, + sub_heading="Test subheading", + name="Test Agent", + slug="test-agent", + description="Test description", + image_urls=["image1.jpg"], + date_submitted=datetime.datetime(2023, 1, 1), + status=prisma.enums.SubmissionStatus.PENDING, + runs=50, + rating=4.5, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + total_items=1, total_pages=1, current_page=1, page_size=20 + ), + ) + assert len(response.submissions) == 1 + assert response.pagination.total_items == 1 + + +def test_store_submission_request(): + request = backend.server.v2.store.model.StoreSubmissionRequest( + agent_id="agent123", + agent_version=1, + slug="test-agent", + name="Test Agent", + sub_heading="Test subheading", + video_url="video.mp4", + image_urls=["image1.jpg", "image2.jpg"], + description="Test description", + categories=["cat1", "cat2"], + ) + assert request.agent_id == "agent123" + assert request.agent_version == 1 + assert len(request.image_urls) == 2 + assert len(request.categories) == 2 diff --git a/autogpt_platform/backend/backend/server/v2/store/routes.py b/autogpt_platform/backend/backend/server/v2/store/routes.py new file mode 100644 index 0000000000..57ed6225f7 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/routes.py @@ -0,0 +1,439 @@ +import logging +import typing + +import autogpt_libs.auth.depends +import autogpt_libs.auth.middleware +import fastapi +import fastapi.responses + +import backend.server.v2.store.db +import backend.server.v2.store.media +import backend.server.v2.store.model + +logger = logging.getLogger(__name__) + +router = fastapi.APIRouter() + + +############################################## +############### Profile Endpoints ############ +############################################## + + +@router.get("/profile", tags=["store", "private"]) +async def get_profile( + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ] +) -> backend.server.v2.store.model.ProfileDetails: + """ + Get the profile details for the authenticated user. + """ + try: + profile = await backend.server.v2.store.db.get_user_profile(user_id) + return profile + except Exception: + logger.exception("Exception occurred whilst getting user profile") + raise + + +@router.post( + "/profile", + tags=["store", "private"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def update_or_create_profile( + profile: backend.server.v2.store.model.Profile, + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ], +) -> backend.server.v2.store.model.CreatorDetails: + """ + Update the store profile for the authenticated user. + + Args: + profile (Profile): The updated profile details + user_id (str): ID of the authenticated user + + Returns: + CreatorDetails: The updated profile + + Raises: + HTTPException: If there is an error updating the profile + """ + try: + updated_profile = await backend.server.v2.store.db.update_or_create_profile( + user_id=user_id, profile=profile + ) + return updated_profile + except Exception: + logger.exception("Exception occurred whilst updating profile") + raise + + +############################################## +############### Agent Endpoints ############## +############################################## + + +@router.get("/agents", tags=["store", "public"]) +async def get_agents( + featured: bool = False, + creator: str | None = None, + sorted_by: str | None = None, + search_query: str | None = None, + category: str | None = None, + page: int = 1, + page_size: int = 20, +) -> backend.server.v2.store.model.StoreAgentsResponse: + """ + Get a paginated list of agents from the store with optional filtering and sorting. + + Args: + featured (bool, optional): Filter to only show featured agents. Defaults to False. + creator (str | None, optional): Filter agents by creator username. Defaults to None. + sorted_by (str | None, optional): Sort agents by "runs" or "rating". Defaults to None. + search_query (str | None, optional): Search agents by name, subheading and description. Defaults to None. + category (str | None, optional): Filter agents by category. Defaults to None. + page (int, optional): Page number for pagination. Defaults to 1. + page_size (int, optional): Number of agents per page. Defaults to 20. + + Returns: + StoreAgentsResponse: Paginated list of agents matching the filters + + Raises: + HTTPException: If page or page_size are less than 1 + + Used for: + - Home Page Featured Agents + - Home Page Top Agents + - Search Results + - Agent Details - Other Agents By Creator + - Agent Details - Similar Agents + - Creator Details - Agents By Creator + """ + if page < 1: + raise fastapi.HTTPException( + status_code=422, detail="Page must be greater than 0" + ) + + if page_size < 1: + raise fastapi.HTTPException( + status_code=422, detail="Page size must be greater than 0" + ) + + try: + agents = await backend.server.v2.store.db.get_store_agents( + featured=featured, + creator=creator, + sorted_by=sorted_by, + search_query=search_query, + category=category, + page=page, + page_size=page_size, + ) + return agents + except Exception: + logger.exception("Exception occured whilst getting store agents") + raise + + +@router.get("/agents/{username}/{agent_name}", tags=["store", "public"]) +async def get_agent( + username: str, agent_name: str +) -> backend.server.v2.store.model.StoreAgentDetails: + """ + This is only used on the AgentDetails Page + + It returns the store listing agents details. + """ + try: + agent = await backend.server.v2.store.db.get_store_agent_details( + username=username, agent_name=agent_name + ) + return agent + except Exception: + logger.exception("Exception occurred whilst getting store agent details") + raise + + +@router.post( + "/agents/{username}/{agent_name}/review", + tags=["store"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def create_review( + username: str, + agent_name: str, + review: backend.server.v2.store.model.StoreReviewCreate, + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ], +) -> backend.server.v2.store.model.StoreReview: + """ + Create a review for a store agent. + + Args: + username: Creator's username + agent_name: Name/slug of the agent + review: Review details including score and optional comments + user_id: ID of authenticated user creating the review + + Returns: + The created review + """ + try: + # Create the review + created_review = await backend.server.v2.store.db.create_store_review( + user_id=user_id, + store_listing_version_id=review.store_listing_version_id, + score=review.score, + comments=review.comments, + ) + + return created_review + except Exception: + logger.exception("Exception occurred whilst creating store review") + raise + + +############################################## +############# Creator Endpoints ############# +############################################## + + +@router.get("/creators", tags=["store", "public"]) +async def get_creators( + featured: bool = False, + search_query: str | None = None, + sorted_by: str | None = None, + page: int = 1, + page_size: int = 20, +) -> backend.server.v2.store.model.CreatorsResponse: + """ + This is needed for: + - Home Page Featured Creators + - Search Results Page + + --- + + To support this functionality we need: + - featured: bool - to limit the list to just featured agents + - search_query: str - vector search based on the creators profile description. + - sorted_by: [agent_rating, agent_runs] - + """ + if page < 1: + raise fastapi.HTTPException( + status_code=422, detail="Page must be greater than 0" + ) + + if page_size < 1: + raise fastapi.HTTPException( + status_code=422, detail="Page size must be greater than 0" + ) + + try: + creators = await backend.server.v2.store.db.get_store_creators( + featured=featured, + search_query=search_query, + sorted_by=sorted_by, + page=page, + page_size=page_size, + ) + return creators + except Exception: + logger.exception("Exception occurred whilst getting store creators") + raise + + +@router.get("/creator/{username}", tags=["store", "public"]) +async def get_creator(username: str) -> backend.server.v2.store.model.CreatorDetails: + """ + Get the details of a creator + - Creator Details Page + """ + try: + creator = await backend.server.v2.store.db.get_store_creator_details( + username=username + ) + return creator + except Exception: + logger.exception("Exception occurred whilst getting creator details") + raise + + +############################################ +############# Store Submissions ############### +############################################ +@router.get( + "/myagents", + tags=["store", "private"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def get_my_agents( + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ] +) -> backend.server.v2.store.model.MyAgentsResponse: + try: + agents = await backend.server.v2.store.db.get_my_agents(user_id) + return agents + except Exception: + logger.exception("Exception occurred whilst getting my agents") + raise + + +@router.delete( + "/submissions/{submission_id}", + tags=["store", "private"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def delete_submission( + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ], + submission_id: str, +) -> bool: + """ + Delete a store listing submission. + + Args: + user_id (str): ID of the authenticated user + submission_id (str): ID of the submission to be deleted + + Returns: + bool: True if the submission was successfully deleted, False otherwise + """ + try: + result = await backend.server.v2.store.db.delete_store_submission( + user_id=user_id, + submission_id=submission_id, + ) + return result + except Exception: + logger.exception("Exception occurred whilst deleting store submission") + raise + + +@router.get( + "/submissions", + tags=["store", "private"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def get_submissions( + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ], + page: int = 1, + page_size: int = 20, +) -> backend.server.v2.store.model.StoreSubmissionsResponse: + """ + Get a paginated list of store submissions for the authenticated user. + + Args: + user_id (str): ID of the authenticated user + page (int, optional): Page number for pagination. Defaults to 1. + page_size (int, optional): Number of submissions per page. Defaults to 20. + + Returns: + StoreListingsResponse: Paginated list of store submissions + + Raises: + HTTPException: If page or page_size are less than 1 + """ + if page < 1: + raise fastapi.HTTPException( + status_code=422, detail="Page must be greater than 0" + ) + + if page_size < 1: + raise fastapi.HTTPException( + status_code=422, detail="Page size must be greater than 0" + ) + try: + listings = await backend.server.v2.store.db.get_store_submissions( + user_id=user_id, + page=page, + page_size=page_size, + ) + return listings + except Exception: + logger.exception("Exception occurred whilst getting store submissions") + raise + + +@router.post( + "/submissions", + tags=["store", "private"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def create_submission( + submission_request: backend.server.v2.store.model.StoreSubmissionRequest, + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ], +) -> backend.server.v2.store.model.StoreSubmission: + """ + Create a new store listing submission. + + Args: + submission_request (StoreSubmissionRequest): The submission details + user_id (str): ID of the authenticated user submitting the listing + + Returns: + StoreSubmission: The created store submission + + Raises: + HTTPException: If there is an error creating the submission + """ + try: + submission = await backend.server.v2.store.db.create_store_submission( + user_id=user_id, + agent_id=submission_request.agent_id, + agent_version=submission_request.agent_version, + slug=submission_request.slug, + name=submission_request.name, + video_url=submission_request.video_url, + image_urls=submission_request.image_urls, + description=submission_request.description, + sub_heading=submission_request.sub_heading, + categories=submission_request.categories, + ) + return submission + except Exception: + logger.exception("Exception occurred whilst creating store submission") + raise + + +@router.post( + "/submissions/media", + tags=["store", "private"], + dependencies=[fastapi.Depends(autogpt_libs.auth.middleware.auth_middleware)], +) +async def upload_submission_media( + file: fastapi.UploadFile, + user_id: typing.Annotated[ + str, fastapi.Depends(autogpt_libs.auth.depends.get_user_id) + ], +) -> str: + """ + Upload media (images/videos) for a store listing submission. + + Args: + file (UploadFile): The media file to upload + user_id (str): ID of the authenticated user uploading the media + + Returns: + str: URL of the uploaded media file + + Raises: + HTTPException: If there is an error uploading the media + """ + try: + media_url = await backend.server.v2.store.media.upload_media( + user_id=user_id, file=file + ) + return media_url + except Exception: + logger.exception("Exception occurred whilst uploading submission media") + raise diff --git a/autogpt_platform/backend/backend/server/v2/store/routes_test.py b/autogpt_platform/backend/backend/server/v2/store/routes_test.py new file mode 100644 index 0000000000..9b6f7af733 --- /dev/null +++ b/autogpt_platform/backend/backend/server/v2/store/routes_test.py @@ -0,0 +1,551 @@ +import datetime + +import autogpt_libs.auth.depends +import autogpt_libs.auth.middleware +import fastapi +import fastapi.testclient +import prisma.enums +import pytest_mock + +import backend.server.v2.store.model +import backend.server.v2.store.routes + +app = fastapi.FastAPI() +app.include_router(backend.server.v2.store.routes.router) + +client = fastapi.testclient.TestClient(app) + + +def override_auth_middleware(): + """Override auth middleware for testing""" + return {"sub": "test-user-id"} + + +def override_get_user_id(): + """Override get_user_id for testing""" + return "test-user-id" + + +app.dependency_overrides[autogpt_libs.auth.middleware.auth_middleware] = ( + override_auth_middleware +) +app.dependency_overrides[autogpt_libs.auth.depends.get_user_id] = override_get_user_id + + +def test_get_agents_defaults(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[], + pagination=backend.server.v2.store.model.Pagination( + current_page=0, + total_items=0, + total_pages=0, + page_size=10, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents") + assert response.status_code == 200 + + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert data.pagination.total_pages == 0 + assert data.agents == [] + mock_db_call.assert_called_once_with( + featured=False, + creator=None, + sorted_by=None, + search_query=None, + category=None, + page=1, + page_size=20, + ) + + +def test_get_agents_featured(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug="featured-agent", + agent_name="Featured Agent", + agent_image="featured.jpg", + creator="creator1", + creator_avatar="avatar1.jpg", + sub_heading="Featured agent subheading", + description="Featured agent description", + runs=100, + rating=4.5, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=1, + total_items=1, + total_pages=1, + page_size=20, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents?featured=true") + assert response.status_code == 200 + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert len(data.agents) == 1 + assert data.agents[0].slug == "featured-agent" + mock_db_call.assert_called_once_with( + featured=True, + creator=None, + sorted_by=None, + search_query=None, + category=None, + page=1, + page_size=20, + ) + + +def test_get_agents_by_creator(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug="creator-agent", + agent_name="Creator Agent", + agent_image="agent.jpg", + creator="specific-creator", + creator_avatar="avatar.jpg", + sub_heading="Creator agent subheading", + description="Creator agent description", + runs=50, + rating=4.0, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=1, + total_items=1, + total_pages=1, + page_size=20, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents?creator=specific-creator") + assert response.status_code == 200 + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert len(data.agents) == 1 + assert data.agents[0].creator == "specific-creator" + mock_db_call.assert_called_once_with( + featured=False, + creator="specific-creator", + sorted_by=None, + search_query=None, + category=None, + page=1, + page_size=20, + ) + + +def test_get_agents_sorted(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug="top-agent", + agent_name="Top Agent", + agent_image="top.jpg", + creator="creator1", + creator_avatar="avatar1.jpg", + sub_heading="Top agent subheading", + description="Top agent description", + runs=1000, + rating=5.0, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=1, + total_items=1, + total_pages=1, + page_size=20, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents?sorted_by=runs") + assert response.status_code == 200 + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert len(data.agents) == 1 + assert data.agents[0].runs == 1000 + mock_db_call.assert_called_once_with( + featured=False, + creator=None, + sorted_by="runs", + search_query=None, + category=None, + page=1, + page_size=20, + ) + + +def test_get_agents_search(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug="search-agent", + agent_name="Search Agent", + agent_image="search.jpg", + creator="creator1", + creator_avatar="avatar1.jpg", + sub_heading="Search agent subheading", + description="Specific search term description", + runs=75, + rating=4.2, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=1, + total_items=1, + total_pages=1, + page_size=20, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents?search_query=specific") + assert response.status_code == 200 + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert len(data.agents) == 1 + assert "specific" in data.agents[0].description.lower() + mock_db_call.assert_called_once_with( + featured=False, + creator=None, + sorted_by=None, + search_query="specific", + category=None, + page=1, + page_size=20, + ) + + +def test_get_agents_category(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug="category-agent", + agent_name="Category Agent", + agent_image="category.jpg", + creator="creator1", + creator_avatar="avatar1.jpg", + sub_heading="Category agent subheading", + description="Category agent description", + runs=60, + rating=4.1, + ) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=1, + total_items=1, + total_pages=1, + page_size=20, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents?category=test-category") + assert response.status_code == 200 + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert len(data.agents) == 1 + mock_db_call.assert_called_once_with( + featured=False, + creator=None, + sorted_by=None, + search_query=None, + category="test-category", + page=1, + page_size=20, + ) + + +def test_get_agents_pagination(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentsResponse( + agents=[ + backend.server.v2.store.model.StoreAgent( + slug=f"agent-{i}", + agent_name=f"Agent {i}", + agent_image=f"agent{i}.jpg", + creator="creator1", + creator_avatar="avatar1.jpg", + sub_heading=f"Agent {i} subheading", + description=f"Agent {i} description", + runs=i * 10, + rating=4.0, + ) + for i in range(5) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=2, + total_items=15, + total_pages=3, + page_size=5, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.return_value = mocked_value + response = client.get("/agents?page=2&page_size=5") + assert response.status_code == 200 + data = backend.server.v2.store.model.StoreAgentsResponse.model_validate( + response.json() + ) + assert len(data.agents) == 5 + assert data.pagination.current_page == 2 + assert data.pagination.page_size == 5 + mock_db_call.assert_called_once_with( + featured=False, + creator=None, + sorted_by=None, + search_query=None, + category=None, + page=2, + page_size=5, + ) + + +def test_get_agents_malformed_request(mocker: pytest_mock.MockFixture): + # Test with invalid page number + response = client.get("/agents?page=-1") + assert response.status_code == 422 + + # Test with invalid page size + response = client.get("/agents?page_size=0") + assert response.status_code == 422 + + # Test with non-numeric values + response = client.get("/agents?page=abc&page_size=def") + assert response.status_code == 422 + + # Verify no DB calls were made + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agents") + mock_db_call.assert_not_called() + + +def test_get_agent_details(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreAgentDetails( + store_listing_version_id="test-version-id", + slug="test-agent", + agent_name="Test Agent", + agent_video="video.mp4", + agent_image=["image1.jpg", "image2.jpg"], + creator="creator1", + creator_avatar="avatar1.jpg", + sub_heading="Test agent subheading", + description="Test agent description", + categories=["category1", "category2"], + runs=100, + rating=4.5, + versions=["1.0.0", "1.1.0"], + last_updated=datetime.datetime.now(), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_agent_details") + mock_db_call.return_value = mocked_value + + response = client.get("/agents/creator1/test-agent") + assert response.status_code == 200 + + data = backend.server.v2.store.model.StoreAgentDetails.model_validate( + response.json() + ) + assert data.agent_name == "Test Agent" + assert data.creator == "creator1" + mock_db_call.assert_called_once_with(username="creator1", agent_name="test-agent") + + +def test_get_creators_defaults(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.CreatorsResponse( + creators=[], + pagination=backend.server.v2.store.model.Pagination( + current_page=0, + total_items=0, + total_pages=0, + page_size=10, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_creators") + mock_db_call.return_value = mocked_value + + response = client.get("/creators") + assert response.status_code == 200 + + data = backend.server.v2.store.model.CreatorsResponse.model_validate( + response.json() + ) + assert data.pagination.total_pages == 0 + assert data.creators == [] + mock_db_call.assert_called_once_with( + featured=False, search_query=None, sorted_by=None, page=1, page_size=20 + ) + + +def test_get_creators_pagination(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.CreatorsResponse( + creators=[ + backend.server.v2.store.model.Creator( + name=f"Creator {i}", + username=f"creator{i}", + description=f"Creator {i} description", + avatar_url=f"avatar{i}.jpg", + num_agents=1, + agent_rating=4.5, + agent_runs=100, + ) + for i in range(5) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=2, + total_items=15, + total_pages=3, + page_size=5, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_creators") + mock_db_call.return_value = mocked_value + + response = client.get("/creators?page=2&page_size=5") + assert response.status_code == 200 + + data = backend.server.v2.store.model.CreatorsResponse.model_validate( + response.json() + ) + assert len(data.creators) == 5 + assert data.pagination.current_page == 2 + assert data.pagination.page_size == 5 + mock_db_call.assert_called_once_with( + featured=False, search_query=None, sorted_by=None, page=2, page_size=5 + ) + + +def test_get_creators_malformed_request(mocker: pytest_mock.MockFixture): + # Test with invalid page number + response = client.get("/creators?page=-1") + assert response.status_code == 422 + + # Test with invalid page size + response = client.get("/creators?page_size=0") + assert response.status_code == 422 + + # Test with non-numeric values + response = client.get("/creators?page=abc&page_size=def") + assert response.status_code == 422 + + # Verify no DB calls were made + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_creators") + mock_db_call.assert_not_called() + + +def test_get_creator_details(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.CreatorDetails( + name="Test User", + username="creator1", + description="Test creator description", + links=["link1.com", "link2.com"], + avatar_url="avatar.jpg", + agent_rating=4.8, + agent_runs=1000, + top_categories=["category1", "category2"], + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_creator_details") + mock_db_call.return_value = mocked_value + + response = client.get("/creator/creator1") + assert response.status_code == 200 + + data = backend.server.v2.store.model.CreatorDetails.model_validate(response.json()) + assert data.username == "creator1" + assert data.name == "Test User" + mock_db_call.assert_called_once_with(username="creator1") + + +def test_get_submissions_success(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreSubmissionsResponse( + submissions=[ + backend.server.v2.store.model.StoreSubmission( + name="Test Agent", + description="Test agent description", + image_urls=["test.jpg"], + date_submitted=datetime.datetime.now(), + status=prisma.enums.SubmissionStatus.APPROVED, + runs=50, + rating=4.2, + agent_id="test-agent-id", + agent_version=1, + sub_heading="Test agent subheading", + slug="test-agent", + ) + ], + pagination=backend.server.v2.store.model.Pagination( + current_page=1, + total_items=1, + total_pages=1, + page_size=20, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_submissions") + mock_db_call.return_value = mocked_value + + response = client.get("/submissions") + assert response.status_code == 200 + + data = backend.server.v2.store.model.StoreSubmissionsResponse.model_validate( + response.json() + ) + assert len(data.submissions) == 1 + assert data.submissions[0].name == "Test Agent" + assert data.pagination.current_page == 1 + mock_db_call.assert_called_once_with(user_id="test-user-id", page=1, page_size=20) + + +def test_get_submissions_pagination(mocker: pytest_mock.MockFixture): + mocked_value = backend.server.v2.store.model.StoreSubmissionsResponse( + submissions=[], + pagination=backend.server.v2.store.model.Pagination( + current_page=2, + total_items=10, + total_pages=2, + page_size=5, + ), + ) + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_submissions") + mock_db_call.return_value = mocked_value + + response = client.get("/submissions?page=2&page_size=5") + assert response.status_code == 200 + + data = backend.server.v2.store.model.StoreSubmissionsResponse.model_validate( + response.json() + ) + assert data.pagination.current_page == 2 + assert data.pagination.page_size == 5 + mock_db_call.assert_called_once_with(user_id="test-user-id", page=2, page_size=5) + + +def test_get_submissions_malformed_request(mocker: pytest_mock.MockFixture): + # Test with invalid page number + response = client.get("/submissions?page=-1") + assert response.status_code == 422 + + # Test with invalid page size + response = client.get("/submissions?page_size=0") + assert response.status_code == 422 + + # Test with non-numeric values + response = client.get("/submissions?page=abc&page_size=def") + assert response.status_code == 422 + + # Verify no DB calls were made + mock_db_call = mocker.patch("backend.server.v2.store.db.get_store_submissions") + mock_db_call.assert_not_called() diff --git a/autogpt_platform/backend/backend/util/settings.py b/autogpt_platform/backend/backend/util/settings.py index 63721653a9..33442b41b9 100644 --- a/autogpt_platform/backend/backend/util/settings.py +++ b/autogpt_platform/backend/backend/util/settings.py @@ -148,6 +148,16 @@ class Config(UpdateTrackingModel["Config"], BaseSettings): "This value is then used to generate redirect URLs for OAuth flows.", ) + media_gcs_bucket_name: str = Field( + default="", + description="The name of the Google Cloud Storage bucket for media files", + ) + + google_application_credentials: str = Field( + default="", + description="The path to the Google Cloud credentials JSON file", + ) + @field_validator("platform_base_url", "frontend_base_url") @classmethod def validate_platform_base_url(cls, v: str, info: ValidationInfo) -> str: diff --git a/autogpt_platform/backend/docker-compose.test.yaml b/autogpt_platform/backend/docker-compose.test.yaml index c1ceac4f83..f2a5f1bc2a 100644 --- a/autogpt_platform/backend/docker-compose.test.yaml +++ b/autogpt_platform/backend/docker-compose.test.yaml @@ -1,20 +1,31 @@ -version: "3" services: postgres-test: image: ankane/pgvector:latest environment: - - POSTGRES_USER=agpt_user - - POSTGRES_PASSWORD=pass123 - - POSTGRES_DB=agpt_local + - POSTGRES_USER=${DB_USER} + - POSTGRES_PASSWORD=${DB_PASS} + - POSTGRES_DB=${DB_NAME} healthcheck: test: pg_isready -U $$POSTGRES_USER -d $$POSTGRES_DB interval: 10s timeout: 5s retries: 5 ports: - - "5433:5432" + - "${DB_PORT}:5432" networks: - app-network-test + redis-test: + image: redis:latest + command: redis-server --requirepass password + ports: + - "6379:6379" + networks: + - app-network-test + healthcheck: + test: ["CMD", "redis-cli", "ping"] + interval: 10s + timeout: 5s + retries: 5 networks: app-network-test: diff --git a/autogpt_platform/backend/migrations/20241212141024_agent_store_v2/migration.sql b/autogpt_platform/backend/migrations/20241212141024_agent_store_v2/migration.sql new file mode 100644 index 0000000000..2f903245d3 --- /dev/null +++ b/autogpt_platform/backend/migrations/20241212141024_agent_store_v2/migration.sql @@ -0,0 +1,228 @@ +-- CreateEnum +CREATE TYPE "SubmissionStatus" AS ENUM ('DAFT', 'PENDING', 'APPROVED', 'REJECTED'); + +-- AlterTable +ALTER TABLE "AgentGraphExecution" ADD COLUMN "agentPresetId" TEXT; + +-- AlterTable +ALTER TABLE "AgentNodeExecutionInputOutput" ADD COLUMN "agentPresetId" TEXT; + +-- AlterTable +ALTER TABLE "AnalyticsMetrics" ALTER COLUMN "id" DROP DEFAULT; + +-- AlterTable +ALTER TABLE "CreditTransaction" RENAME CONSTRAINT "UserBlockCredit_pkey" TO "CreditTransaction_pkey"; + +-- CreateTable +CREATE TABLE "AgentPreset" ( + "id" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "name" TEXT NOT NULL, + "description" TEXT NOT NULL, + "isActive" BOOLEAN NOT NULL DEFAULT true, + "userId" TEXT NOT NULL, + "agentId" TEXT NOT NULL, + "agentVersion" INTEGER NOT NULL, + + CONSTRAINT "AgentPreset_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "UserAgent" ( + "id" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "userId" TEXT NOT NULL, + "agentId" TEXT NOT NULL, + "agentVersion" INTEGER NOT NULL, + "agentPresetId" TEXT, + "isFavorite" BOOLEAN NOT NULL DEFAULT false, + "isCreatedByUser" BOOLEAN NOT NULL DEFAULT false, + "isArchived" BOOLEAN NOT NULL DEFAULT false, + "isDeleted" BOOLEAN NOT NULL DEFAULT false, + + CONSTRAINT "UserAgent_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "Profile" ( + "id" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "userId" TEXT, + "name" TEXT NOT NULL, + "username" TEXT NOT NULL, + "description" TEXT NOT NULL, + "links" TEXT[], + "avatarUrl" TEXT, + + CONSTRAINT "Profile_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "StoreListing" ( + "id" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "isDeleted" BOOLEAN NOT NULL DEFAULT false, + "isApproved" BOOLEAN NOT NULL DEFAULT false, + "agentId" TEXT NOT NULL, + "agentVersion" INTEGER NOT NULL, + "owningUserId" TEXT NOT NULL, + + CONSTRAINT "StoreListing_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "StoreListingVersion" ( + "id" TEXT NOT NULL, + "version" INTEGER NOT NULL DEFAULT 1, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "agentId" TEXT NOT NULL, + "agentVersion" INTEGER NOT NULL, + "slug" TEXT NOT NULL, + "name" TEXT NOT NULL, + "subHeading" TEXT NOT NULL, + "videoUrl" TEXT, + "imageUrls" TEXT[], + "description" TEXT NOT NULL, + "categories" TEXT[], + "isFeatured" BOOLEAN NOT NULL DEFAULT false, + "isDeleted" BOOLEAN NOT NULL DEFAULT false, + "isAvailable" BOOLEAN NOT NULL DEFAULT true, + "isApproved" BOOLEAN NOT NULL DEFAULT false, + "storeListingId" TEXT, + + CONSTRAINT "StoreListingVersion_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "StoreListingReview" ( + "id" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "storeListingVersionId" TEXT NOT NULL, + "reviewByUserId" TEXT NOT NULL, + "score" INTEGER NOT NULL, + "comments" TEXT, + + CONSTRAINT "StoreListingReview_pkey" PRIMARY KEY ("id") +); + +-- CreateTable +CREATE TABLE "StoreListingSubmission" ( + "id" TEXT NOT NULL, + "createdAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "updatedAt" TIMESTAMP(3) NOT NULL DEFAULT CURRENT_TIMESTAMP, + "storeListingId" TEXT NOT NULL, + "storeListingVersionId" TEXT NOT NULL, + "reviewerId" TEXT NOT NULL, + "Status" "SubmissionStatus" NOT NULL DEFAULT 'PENDING', + "reviewComments" TEXT, + + CONSTRAINT "StoreListingSubmission_pkey" PRIMARY KEY ("id") +); + +-- CreateIndex +CREATE INDEX "AgentPreset_userId_idx" ON "AgentPreset"("userId"); + +-- CreateIndex +CREATE INDEX "UserAgent_userId_idx" ON "UserAgent"("userId"); + +-- CreateIndex +CREATE UNIQUE INDEX "Profile_username_key" ON "Profile"("username"); + +-- CreateIndex +CREATE INDEX "Profile_username_idx" ON "Profile"("username"); + +-- CreateIndex +CREATE INDEX "Profile_userId_idx" ON "Profile"("userId"); + +-- CreateIndex +CREATE INDEX "StoreListing_isApproved_idx" ON "StoreListing"("isApproved"); + +-- CreateIndex +CREATE INDEX "StoreListing_agentId_idx" ON "StoreListing"("agentId"); + +-- CreateIndex +CREATE INDEX "StoreListing_owningUserId_idx" ON "StoreListing"("owningUserId"); + +-- CreateIndex +CREATE INDEX "StoreListingVersion_agentId_agentVersion_isApproved_idx" ON "StoreListingVersion"("agentId", "agentVersion", "isApproved"); + +-- CreateIndex +CREATE UNIQUE INDEX "StoreListingVersion_agentId_agentVersion_key" ON "StoreListingVersion"("agentId", "agentVersion"); + +-- CreateIndex +CREATE INDEX "StoreListingReview_storeListingVersionId_idx" ON "StoreListingReview"("storeListingVersionId"); + +-- CreateIndex +CREATE UNIQUE INDEX "StoreListingReview_storeListingVersionId_reviewByUserId_key" ON "StoreListingReview"("storeListingVersionId", "reviewByUserId"); + +-- CreateIndex +CREATE INDEX "StoreListingSubmission_storeListingId_idx" ON "StoreListingSubmission"("storeListingId"); + +-- CreateIndex +CREATE INDEX "StoreListingSubmission_Status_idx" ON "StoreListingSubmission"("Status"); + +-- RenameForeignKey +ALTER TABLE "CreditTransaction" RENAME CONSTRAINT "UserBlockCredit_blockId_fkey" TO "CreditTransaction_blockId_fkey"; + +-- RenameForeignKey +ALTER TABLE "CreditTransaction" RENAME CONSTRAINT "UserBlockCredit_userId_fkey" TO "CreditTransaction_userId_fkey"; + +-- AddForeignKey +ALTER TABLE "AgentPreset" ADD CONSTRAINT "AgentPreset_userId_fkey" FOREIGN KEY ("userId") REFERENCES "User"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "AgentPreset" ADD CONSTRAINT "AgentPreset_agentId_agentVersion_fkey" FOREIGN KEY ("agentId", "agentVersion") REFERENCES "AgentGraph"("id", "version") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "UserAgent" ADD CONSTRAINT "UserAgent_userId_fkey" FOREIGN KEY ("userId") REFERENCES "User"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "UserAgent" ADD CONSTRAINT "UserAgent_agentId_agentVersion_fkey" FOREIGN KEY ("agentId", "agentVersion") REFERENCES "AgentGraph"("id", "version") ON DELETE RESTRICT ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "UserAgent" ADD CONSTRAINT "UserAgent_agentPresetId_fkey" FOREIGN KEY ("agentPresetId") REFERENCES "AgentPreset"("id") ON DELETE SET NULL ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "AgentGraphExecution" ADD CONSTRAINT "AgentGraphExecution_agentPresetId_fkey" FOREIGN KEY ("agentPresetId") REFERENCES "AgentPreset"("id") ON DELETE SET NULL ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "AgentNodeExecutionInputOutput" ADD CONSTRAINT "AgentNodeExecutionInputOutput_agentPresetId_fkey" FOREIGN KEY ("agentPresetId") REFERENCES "AgentPreset"("id") ON DELETE SET NULL ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "Profile" ADD CONSTRAINT "Profile_userId_fkey" FOREIGN KEY ("userId") REFERENCES "User"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListing" ADD CONSTRAINT "StoreListing_agentId_agentVersion_fkey" FOREIGN KEY ("agentId", "agentVersion") REFERENCES "AgentGraph"("id", "version") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListing" ADD CONSTRAINT "StoreListing_owningUserId_fkey" FOREIGN KEY ("owningUserId") REFERENCES "User"("id") ON DELETE RESTRICT ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingVersion" ADD CONSTRAINT "StoreListingVersion_agentId_agentVersion_fkey" FOREIGN KEY ("agentId", "agentVersion") REFERENCES "AgentGraph"("id", "version") ON DELETE RESTRICT ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingVersion" ADD CONSTRAINT "StoreListingVersion_storeListingId_fkey" FOREIGN KEY ("storeListingId") REFERENCES "StoreListing"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingReview" ADD CONSTRAINT "StoreListingReview_storeListingVersionId_fkey" FOREIGN KEY ("storeListingVersionId") REFERENCES "StoreListingVersion"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingReview" ADD CONSTRAINT "StoreListingReview_reviewByUserId_fkey" FOREIGN KEY ("reviewByUserId") REFERENCES "User"("id") ON DELETE RESTRICT ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingSubmission" ADD CONSTRAINT "StoreListingSubmission_storeListingId_fkey" FOREIGN KEY ("storeListingId") REFERENCES "StoreListing"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingSubmission" ADD CONSTRAINT "StoreListingSubmission_storeListingVersionId_fkey" FOREIGN KEY ("storeListingVersionId") REFERENCES "StoreListingVersion"("id") ON DELETE CASCADE ON UPDATE CASCADE; + +-- AddForeignKey +ALTER TABLE "StoreListingSubmission" ADD CONSTRAINT "StoreListingSubmission_reviewerId_fkey" FOREIGN KEY ("reviewerId") REFERENCES "User"("id") ON DELETE RESTRICT ON UPDATE CASCADE; + +-- RenameIndex +ALTER INDEX "UserBlockCredit_userId_createdAt_idx" RENAME TO "CreditTransaction_userId_createdAt_idx"; diff --git a/autogpt_platform/backend/migrations/20241212150828_agent_store_v2_views/migration.sql b/autogpt_platform/backend/migrations/20241212150828_agent_store_v2_views/migration.sql new file mode 100644 index 0000000000..d51e47ebf1 --- /dev/null +++ b/autogpt_platform/backend/migrations/20241212150828_agent_store_v2_views/migration.sql @@ -0,0 +1,118 @@ +BEGIN; + +CREATE VIEW "StoreAgent" AS +WITH ReviewStats AS ( + SELECT sl."id" AS "storeListingId", + COUNT(sr.id) AS review_count, + AVG(CAST(sr.score AS DECIMAL)) AS avg_rating + FROM "StoreListing" sl + JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl."id" + JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id + WHERE sl."isDeleted" = FALSE + GROUP BY sl."id" +), +AgentRuns AS ( + SELECT "agentGraphId", COUNT(*) AS run_count + FROM "AgentGraphExecution" + GROUP BY "agentGraphId" +) +SELECT + sl.id AS listing_id, + slv.id AS "storeListingVersionId", + slv."createdAt" AS updated_at, + slv.slug, + a.name AS agent_name, + slv."videoUrl" AS agent_video, + COALESCE(slv."imageUrls", ARRAY[]::TEXT[]) AS agent_image, + slv."isFeatured" AS featured, + p.username AS creator_username, + p."avatarUrl" AS creator_avatar, + slv."subHeading" AS sub_heading, + slv.description, + slv.categories, + COALESCE(ar.run_count, 0) AS runs, + CAST(COALESCE(rs.avg_rating, 0.0) AS DOUBLE PRECISION) AS rating, + ARRAY_AGG(DISTINCT CAST(slv.version AS TEXT)) AS versions +FROM "StoreListing" sl +JOIN "AgentGraph" a ON sl."agentId" = a.id AND sl."agentVersion" = a."version" +LEFT JOIN "Profile" p ON sl."owningUserId" = p."userId" +LEFT JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id +LEFT JOIN ReviewStats rs ON sl.id = rs."storeListingId" +LEFT JOIN AgentRuns ar ON a.id = ar."agentGraphId" +WHERE sl."isDeleted" = FALSE + AND sl."isApproved" = TRUE +GROUP BY sl.id, slv.id, slv.slug, slv."createdAt", a.name, slv."videoUrl", slv."imageUrls", slv."isFeatured", + p.username, p."avatarUrl", slv."subHeading", slv.description, slv.categories, + ar.run_count, rs.avg_rating; + +CREATE VIEW "Creator" AS +WITH AgentStats AS ( + SELECT + p.username, + COUNT(DISTINCT sl.id) as num_agents, + AVG(CAST(COALESCE(sr.score, 0) AS DECIMAL)) as agent_rating, + SUM(COALESCE(age.run_count, 0)) as agent_runs + FROM "Profile" p + LEFT JOIN "StoreListing" sl ON sl."owningUserId" = p."userId" + LEFT JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id + LEFT JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id + LEFT JOIN ( + SELECT "agentGraphId", COUNT(*) as run_count + FROM "AgentGraphExecution" + GROUP BY "agentGraphId" + ) age ON age."agentGraphId" = sl."agentId" + WHERE sl."isDeleted" = FALSE AND sl."isApproved" = TRUE + GROUP BY p.username +) +SELECT + p.username, + p.name, + p."avatarUrl" as avatar_url, + p.description, + ARRAY_AGG(DISTINCT c) FILTER (WHERE c IS NOT NULL) as top_categories, + p.links, + COALESCE(ast.num_agents, 0) as num_agents, + COALESCE(ast.agent_rating, 0.0) as agent_rating, + COALESCE(ast.agent_runs, 0) as agent_runs +FROM "Profile" p +LEFT JOIN AgentStats ast ON ast.username = p.username +LEFT JOIN LATERAL ( + SELECT UNNEST(slv.categories) as c + FROM "StoreListing" sl + JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id + WHERE sl."owningUserId" = p."userId" + AND sl."isDeleted" = FALSE + AND sl."isApproved" = TRUE +) cats ON true +GROUP BY p.username, p.name, p."avatarUrl", p.description, p.links, + ast.num_agents, ast.agent_rating, ast.agent_runs; + +CREATE VIEW "StoreSubmission" AS +SELECT + sl.id as listing_id, + sl."owningUserId" as user_id, + slv."agentId" as agent_id, + slv."version" as agent_version, + slv.slug, + slv.name, + slv."subHeading" as sub_heading, + slv.description, + slv."imageUrls" as image_urls, + slv."createdAt" as date_submitted, + COALESCE(sls."Status", 'PENDING') as status, + COALESCE(ar.run_count, 0) as runs, + CAST(COALESCE(AVG(CAST(sr.score AS DECIMAL)), 0.0) AS DOUBLE PRECISION) as rating +FROM "StoreListing" sl +JOIN "StoreListingVersion" slv ON slv."storeListingId" = sl.id +LEFT JOIN "StoreListingSubmission" sls ON sls."storeListingId" = sl.id +LEFT JOIN "StoreListingReview" sr ON sr."storeListingVersionId" = slv.id +LEFT JOIN ( + SELECT "agentGraphId", COUNT(*) as run_count + FROM "AgentGraphExecution" + GROUP BY "agentGraphId" +) ar ON ar."agentGraphId" = slv."agentId" +WHERE sl."isDeleted" = FALSE +GROUP BY sl.id, sl."owningUserId", slv."agentId", slv."version", slv.slug, slv.name, slv."subHeading", + slv.description, slv."imageUrls", slv."createdAt", sls."Status", ar.run_count; + +COMMIT; \ No newline at end of file diff --git a/autogpt_platform/backend/poetry.lock b/autogpt_platform/backend/poetry.lock index e3a62737c2..a831ba54b8 100644 --- a/autogpt_platform/backend/poetry.lock +++ b/autogpt_platform/backend/poetry.lock @@ -1,140 +1,126 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically 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It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!" optional = false -python-versions = "*" +python-versions = "<3.14,>=3.8" files = [ - {file = "youtube_transcript_api-0.6.2-py3-none-any.whl", hash = "sha256:019dbf265c6a68a0591c513fff25ed5a116ce6525832aefdfb34d4df5567121c"}, - {file = "youtube_transcript_api-0.6.2.tar.gz", hash = "sha256:cad223d7620633cec44f657646bffc8bbc5598bd8e70b1ad2fa8277dec305eb7"}, + {file = "youtube_transcript_api-0.6.3-py3-none-any.whl", hash = "sha256:297a74c1863d9df88f6885229f33a7eda61493d73ecb13ec80e876b65423e9b4"}, + {file = "youtube_transcript_api-0.6.3.tar.gz", hash = "sha256:4d1f6451ae508390a5279f98519efb45e091bf60d3cca5ea0bb122800ab6a011"}, ] [package.dependencies] +defusedxml = ">=0.7.1,<0.8.0" requests = "*" [[package]] @@ -4063,5 +4323,5 @@ type = ["pytest-mypy"] [metadata] lock-version = "2.0" -python-versions = "^3.10" -content-hash = "94dbe280c8215cd4ceef47c14b681092cb03964aa081b6cdb978da7bbf818593" +python-versions = ">=3.10,<3.13" +content-hash = "5fae63baa6f39264987b91569b2f72c6b48353efb52c5fa92fb733d1e827513f" diff --git a/autogpt_platform/backend/pyproject.toml b/autogpt_platform/backend/pyproject.toml index 964290cd65..0818ebd1ce 100644 --- a/autogpt_platform/backend/pyproject.toml +++ b/autogpt_platform/backend/pyproject.toml @@ -8,7 +8,7 @@ packages = [{ include = "backend" }] [tool.poetry.dependencies] -python = "^3.10" +python = ">=3.10,<3.13" aio-pika = "^9.5.0" anthropic = "^0.39.0" apscheduler = "^3.11.0" @@ -49,8 +49,10 @@ googlemaps = "^4.10.0" replicate = "^1.0.4" pinecone = "^5.3.1" cryptography = "^43.0.3" +python-multipart = "^0.0.19" sqlalchemy = "^2.0.36" psycopg2-binary = "^2.9.10" +google-cloud-storage = "^2.18.2" launchdarkly-server-sdk = "^9.8.0" [tool.poetry.group.dev.dependencies] poethepoet = "^0.31.0" @@ -62,6 +64,8 @@ pyright = "^1.1.389" isort = "^5.13.2" black = "^24.10.0" aiohappyeyeballs = "^2.4.3" +pytest-mock = "^3.14.0" +faker = "^30.8.2" [build-system] requires = ["poetry-core"] diff --git a/autogpt_platform/backend/run_tests.py b/autogpt_platform/backend/run_tests.py index aebb6f5b25..b2343b2082 100644 --- a/autogpt_platform/backend/run_tests.py +++ b/autogpt_platform/backend/run_tests.py @@ -16,9 +16,9 @@ def wait_for_postgres(max_retries=5, delay=5): "postgres-test", "pg_isready", "-U", - "agpt_user", + "postgres", "-d", - "agpt_local", + "postgres", ], check=True, capture_output=True, diff --git a/autogpt_platform/backend/schema.prisma b/autogpt_platform/backend/schema.prisma index baec114382..ee73e63fae 100644 --- a/autogpt_platform/backend/schema.prisma +++ b/autogpt_platform/backend/schema.prisma @@ -8,6 +8,7 @@ generator client { provider = "prisma-client-py" recursive_type_depth = 5 interface = "asyncio" + previewFeatures = ["views"] } // User model to mirror Auth provider users @@ -24,11 +25,19 @@ model User { // Relations AgentGraphs AgentGraph[] AgentGraphExecutions AgentGraphExecution[] - IntegrationWebhooks IntegrationWebhook[] AnalyticsDetails AnalyticsDetails[] AnalyticsMetrics AnalyticsMetrics[] CreditTransaction CreditTransaction[] - APIKeys APIKey[] + + AgentPreset AgentPreset[] + UserAgent UserAgent[] + + Profile Profile[] + StoreListing StoreListing[] + StoreListingReview StoreListingReview[] + StoreListingSubmission StoreListingSubmission[] + APIKeys APIKey[] + IntegrationWebhooks IntegrationWebhook[] @@index([id]) @@index([email]) @@ -48,15 +57,89 @@ model AgentGraph { // Link to User model userId String + // FIX: Do not cascade delete the agent when the user is deleted + // This allows us to delete user data with deleting the agent which maybe in use by other users user User @relation(fields: [userId], references: [id], onDelete: Cascade) AgentNodes AgentNode[] AgentGraphExecution AgentGraphExecution[] + AgentPreset AgentPreset[] + UserAgent UserAgent[] + StoreListing StoreListing[] + StoreListingVersion StoreListingVersion? + @@id(name: "graphVersionId", [id, version]) @@index([userId, isActive]) } +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// +//////////////// USER SPECIFIC DATA //////////////////// +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// + +// An AgentPrest is an Agent + User Configuration of that agent. +// For example, if someone has created a weather agent and they want to set it up to +// Inform them of extreme weather warnings in Texas, the agent with the configuration to set it to +// monitor texas, along with the cron setup or webhook tiggers, is an AgentPreset +model AgentPreset { + id String @id @default(uuid()) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + name String + description String + + // For agents that can be triggered by webhooks or cronjob + // This bool allows us to disable a configured agent without deleting it + isActive Boolean @default(true) + + userId String + User User @relation(fields: [userId], references: [id], onDelete: Cascade) + + agentId String + agentVersion Int + Agent AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version], onDelete: Cascade) + + InputPresets AgentNodeExecutionInputOutput[] @relation("AgentPresetsInputData") + UserAgents UserAgent[] + AgentExecution AgentGraphExecution[] + + @@index([userId]) +} + +// For the library page +// It is a user controlled list of agents, that they will see in there library +model UserAgent { + id String @id @default(uuid()) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + userId String + User User @relation(fields: [userId], references: [id], onDelete: Cascade) + + agentId String + agentVersion Int + Agent AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version]) + + agentPresetId String? + AgentPreset AgentPreset? @relation(fields: [agentPresetId], references: [id]) + + isFavorite Boolean @default(false) + isCreatedByUser Boolean @default(false) + isArchived Boolean @default(false) + isDeleted Boolean @default(false) + + @@index([userId]) +} + +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// +//////// AGENT DEFINITION AND EXECUTION TABLES //////// +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// + // This model describes a single node in the Agent Graph/Flow (Multi Agent System). model AgentNode { id String @id @default(uuid()) @@ -155,7 +238,9 @@ model AgentGraphExecution { userId String user User @relation(fields: [userId], references: [id], onDelete: Cascade) - stats String? // JSON serialized object + stats String? // JSON serialized object + AgentPreset AgentPreset? @relation(fields: [agentPresetId], references: [id]) + agentPresetId String? @@index([agentGraphId, agentGraphVersion]) @@index([userId]) @@ -202,6 +287,9 @@ model AgentNodeExecutionInputOutput { referencedByOutputExecId String? ReferencedByOutputExec AgentNodeExecution? @relation("AgentNodeExecutionOutput", fields: [referencedByOutputExecId], references: [id], onDelete: Cascade) + agentPresetId String? + AgentPreset AgentPreset? @relation("AgentPresetsInputData", fields: [agentPresetId], references: [id]) + // Input and Output pin names are unique for each AgentNodeExecution. @@unique([referencedByInputExecId, referencedByOutputExecId, name]) @@index([referencedByOutputExecId]) @@ -256,8 +344,13 @@ model AnalyticsDetails { @@index([type]) } +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// +////////////// METRICS TRACKING TABLES //////////////// +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// model AnalyticsMetrics { - id String @id @default(dbgenerated("gen_random_uuid()")) + id String @id @default(uuid()) createdAt DateTime @default(now()) updatedAt DateTime @updatedAt @@ -281,6 +374,11 @@ enum CreditTransactionType { USAGE } +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// +//////// ACCOUNTING AND CREDIT SYSTEM TABLES ////////// +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// model CreditTransaction { transactionKey String @default(uuid()) createdAt DateTime @default(now()) @@ -301,6 +399,205 @@ model CreditTransaction { @@index([userId, createdAt]) } +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// +////////////// Store TABLES /////////////////////////// +//////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////// + +model Profile { + id String @id @default(uuid()) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + // Only 1 of user or group can be set. + // The user this profile belongs to, if any. + userId String? + User User? @relation(fields: [userId], references: [id], onDelete: Cascade) + + name String + username String @unique + description String + + links String[] + + avatarUrl String? + + @@index([username]) + @@index([userId]) +} + +view Creator { + username String @unique + name String + avatar_url String + description String + + top_categories String[] + links String[] + + num_agents Int + agent_rating Float + agent_runs Int +} + +view StoreAgent { + listing_id String @id + storeListingVersionId String + updated_at DateTime + + slug String + agent_name String + agent_video String? + agent_image String[] + + featured Boolean @default(false) + creator_username String + creator_avatar String + sub_heading String + description String + categories String[] + runs Int + rating Float + versions String[] + + @@unique([creator_username, slug]) + @@index([creator_username]) + @@index([featured]) + @@index([categories]) + @@index([storeListingVersionId]) +} + +view StoreSubmission { + listing_id String @id + user_id String + slug String + name String + sub_heading String + description String + image_urls String[] + date_submitted DateTime + status SubmissionStatus + runs Int + rating Float + agent_id String + agent_version Int + + @@index([user_id]) +} + +model StoreListing { + id String @id @default(uuid()) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + isDeleted Boolean @default(false) + // Not needed but makes lookups faster + isApproved Boolean @default(false) + + // The agent link here is only so we can do lookup on agentId, for the listing the StoreListingVersion is used. + agentId String + agentVersion Int + Agent AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version], onDelete: Cascade) + + owningUserId String + OwningUser User @relation(fields: [owningUserId], references: [id]) + + StoreListingVersions StoreListingVersion[] + StoreListingSubmission StoreListingSubmission[] + + @@index([isApproved]) + @@index([agentId]) + @@index([owningUserId]) +} + +model StoreListingVersion { + id String @id @default(uuid()) + version Int @default(1) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + // The agent and version to be listed on the store + agentId String + agentVersion Int + Agent AgentGraph @relation(fields: [agentId, agentVersion], references: [id, version]) + + // The detials for this version of the agent, this allows the author to update the details of the agent, + // But still allow using old versions of the agent with there original details. + // TODO: Create a database view that shows only the latest version of each store listing. + slug String + name String + subHeading String + videoUrl String? + imageUrls String[] + description String + categories String[] + + isFeatured Boolean @default(false) + + isDeleted Boolean @default(false) + // Old versions can be made unavailable by the author if desired + isAvailable Boolean @default(true) + // Not needed but makes lookups faster + isApproved Boolean @default(false) + StoreListing StoreListing? @relation(fields: [storeListingId], references: [id], onDelete: Cascade) + storeListingId String? + StoreListingSubmission StoreListingSubmission[] + + // Reviews are on a specific version, but then aggregated up to the listing. + // This allows us to provide a review filter to current version of the agent. + StoreListingReview StoreListingReview[] + + @@unique([agentId, agentVersion]) + @@index([agentId, agentVersion, isApproved]) +} + +model StoreListingReview { + id String @id @default(uuid()) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + storeListingVersionId String + StoreListingVersion StoreListingVersion @relation(fields: [storeListingVersionId], references: [id], onDelete: Cascade) + + reviewByUserId String + ReviewByUser User @relation(fields: [reviewByUserId], references: [id]) + + score Int + comments String? + + @@unique([storeListingVersionId, reviewByUserId]) + @@index([storeListingVersionId]) +} + +enum SubmissionStatus { + DAFT + PENDING + APPROVED + REJECTED +} + +model StoreListingSubmission { + id String @id @default(uuid()) + createdAt DateTime @default(now()) + updatedAt DateTime @default(now()) @updatedAt + + storeListingId String + StoreListing StoreListing @relation(fields: [storeListingId], references: [id], onDelete: Cascade) + + storeListingVersionId String + StoreListingVersion StoreListingVersion @relation(fields: [storeListingVersionId], references: [id], onDelete: Cascade) + + reviewerId String + Reviewer User @relation(fields: [reviewerId], references: [id]) + + Status SubmissionStatus @default(PENDING) + reviewComments String? + + @@index([storeListingId]) + @@index([Status]) +} + enum APIKeyPermission { EXECUTE_GRAPH // Can execute agent graphs READ_GRAPH // Can get graph versions and details @@ -338,4 +635,4 @@ enum APIKeyStatus { ACTIVE REVOKED SUSPENDED -} +} \ No newline at end of file diff --git a/autogpt_platform/backend/test/test_data_creator.py b/autogpt_platform/backend/test/test_data_creator.py new file mode 100644 index 0000000000..1f79386cc6 --- /dev/null +++ b/autogpt_platform/backend/test/test_data_creator.py @@ -0,0 +1,436 @@ +import asyncio +import random +from datetime import datetime + +import prisma.enums +from faker import Faker +from prisma import Prisma + +faker = Faker() + +# Constants for data generation limits + +# Base entities +NUM_USERS = 100 # Creates 100 user records +NUM_AGENT_BLOCKS = 100 # Creates 100 agent block templates + +# Per-user entities +MIN_GRAPHS_PER_USER = 1 # Each user will have between 1-5 graphs +MAX_GRAPHS_PER_USER = 5 # Total graphs: 500-2500 (NUM_USERS * MIN/MAX_GRAPHS) + +# Per-graph entities +MIN_NODES_PER_GRAPH = 2 # Each graph will have between 2-5 nodes +MAX_NODES_PER_GRAPH = ( + 5 # Total nodes: 1000-2500 (GRAPHS_PER_USER * NUM_USERS * MIN/MAX_NODES) +) + +# Additional per-user entities +MIN_PRESETS_PER_USER = 1 # Each user will have between 1-2 presets +MAX_PRESETS_PER_USER = 5 # Total presets: 500-2500 (NUM_USERS * MIN/MAX_PRESETS) +MIN_AGENTS_PER_USER = 1 # Each user will have between 1-2 agents +MAX_AGENTS_PER_USER = 10 # Total agents: 500-5000 (NUM_USERS * MIN/MAX_AGENTS) + +# Execution and review records +MIN_EXECUTIONS_PER_GRAPH = 1 # Each graph will have between 1-5 execution records +MAX_EXECUTIONS_PER_GRAPH = ( + 20 # Total executions: 1000-5000 (TOTAL_GRAPHS * MIN/MAX_EXECUTIONS) +) +MIN_REVIEWS_PER_VERSION = 1 # Each version will have between 1-3 reviews +MAX_REVIEWS_PER_VERSION = 5 # Total reviews depends on number of versions created + + +def get_image(): + url = faker.image_url() + while "placekitten.com" in url: + url = faker.image_url() + return url + + +async def main(): + db = Prisma() + await db.connect() + + # Insert Users + print(f"Inserting {NUM_USERS} users") + users = [] + for _ in range(NUM_USERS): + user = await db.user.create( + data={ + "id": str(faker.uuid4()), + "email": faker.unique.email(), + "name": faker.name(), + "metadata": prisma.Json({}), + "integrations": "", + } + ) + users.append(user) + + # Insert AgentBlocks + agent_blocks = [] + print(f"Inserting {NUM_AGENT_BLOCKS} agent blocks") + for _ in range(NUM_AGENT_BLOCKS): + block = await db.agentblock.create( + data={ + "name": f"{faker.word()}_{str(faker.uuid4())[:8]}", + "inputSchema": "{}", + "outputSchema": "{}", + } + ) + agent_blocks.append(block) + + # Insert AgentGraphs + agent_graphs = [] + print(f"Inserting {NUM_USERS * MAX_GRAPHS_PER_USER} agent graphs") + for user in users: + for _ in range( + random.randint(MIN_GRAPHS_PER_USER, MAX_GRAPHS_PER_USER) + ): # Adjust the range to create more graphs per user if desired + graph = await db.agentgraph.create( + data={ + "name": faker.sentence(nb_words=3), + "description": faker.text(max_nb_chars=200), + "userId": user.id, + "isActive": True, + "isTemplate": False, + } + ) + agent_graphs.append(graph) + + # Insert AgentNodes + agent_nodes = [] + print( + f"Inserting {NUM_USERS * MAX_GRAPHS_PER_USER * MAX_NODES_PER_GRAPH} agent nodes" + ) + for graph in agent_graphs: + num_nodes = random.randint(MIN_NODES_PER_GRAPH, MAX_NODES_PER_GRAPH) + for _ in range(num_nodes): # Create 5 AgentNodes per graph + block = random.choice(agent_blocks) + node = await db.agentnode.create( + data={ + "agentBlockId": block.id, + "agentGraphId": graph.id, + "agentGraphVersion": graph.version, + "constantInput": "{}", + "metadata": "{}", + } + ) + agent_nodes.append(node) + + # Insert AgentPresets + agent_presets = [] + print(f"Inserting {NUM_USERS * MAX_PRESETS_PER_USER} agent presets") + for user in users: + num_presets = random.randint(MIN_PRESETS_PER_USER, MAX_PRESETS_PER_USER) + for _ in range(num_presets): # Create 1 AgentPreset per user + graph = random.choice(agent_graphs) + preset = await db.agentpreset.create( + data={ + "name": faker.sentence(nb_words=3), + "description": faker.text(max_nb_chars=200), + "userId": user.id, + "agentId": graph.id, + "agentVersion": graph.version, + "isActive": True, + } + ) + agent_presets.append(preset) + + # Insert UserAgents + user_agents = [] + print(f"Inserting {NUM_USERS * MAX_AGENTS_PER_USER} user agents") + for user in users: + num_agents = random.randint(MIN_AGENTS_PER_USER, MAX_AGENTS_PER_USER) + for _ in range(num_agents): # Create 1 UserAgent per user + graph = random.choice(agent_graphs) + preset = random.choice(agent_presets) + user_agent = await db.useragent.create( + data={ + "userId": user.id, + "agentId": graph.id, + "agentVersion": graph.version, + "agentPresetId": preset.id, + "isFavorite": random.choice([True, False]), + "isCreatedByUser": random.choice([True, False]), + "isArchived": random.choice([True, False]), + "isDeleted": random.choice([True, False]), + } + ) + user_agents.append(user_agent) + + # Insert AgentGraphExecutions + # Insert AgentGraphExecutions + agent_graph_executions = [] + print( + f"Inserting {NUM_USERS * MAX_GRAPHS_PER_USER * MAX_EXECUTIONS_PER_GRAPH} agent graph executions" + ) + graph_execution_data = [] + for graph in agent_graphs: + user = random.choice(users) + num_executions = random.randint( + MIN_EXECUTIONS_PER_GRAPH, MAX_EXECUTIONS_PER_GRAPH + ) + for _ in range(num_executions): + matching_presets = [p for p in agent_presets if p.agentId == graph.id] + preset = ( + random.choice(matching_presets) + if matching_presets and random.random() < 0.5 + else None + ) + + graph_execution_data.append( + { + "agentGraphId": graph.id, + "agentGraphVersion": graph.version, + "userId": user.id, + "executionStatus": prisma.enums.AgentExecutionStatus.COMPLETED, + "startedAt": faker.date_time_this_year(), + "agentPresetId": preset.id if preset else None, + } + ) + + agent_graph_executions = await db.agentgraphexecution.create_many( + data=graph_execution_data + ) + # Need to fetch the created records since create_many doesn't return them + agent_graph_executions = await db.agentgraphexecution.find_many() + + # Insert AgentNodeExecutions + print( + f"Inserting {NUM_USERS * MAX_GRAPHS_PER_USER * MAX_EXECUTIONS_PER_GRAPH} agent node executions" + ) + node_execution_data = [] + for execution in agent_graph_executions: + nodes = [ + node for node in agent_nodes if node.agentGraphId == execution.agentGraphId + ] + for node in nodes: + node_execution_data.append( + { + "agentGraphExecutionId": execution.id, + "agentNodeId": node.id, + "executionStatus": prisma.enums.AgentExecutionStatus.COMPLETED, + "addedTime": datetime.now(), + } + ) + + agent_node_executions = await db.agentnodeexecution.create_many( + data=node_execution_data + ) + # Need to fetch the created records since create_many doesn't return them + agent_node_executions = await db.agentnodeexecution.find_many() + + # Insert AgentNodeExecutionInputOutput + print( + f"Inserting {NUM_USERS * MAX_GRAPHS_PER_USER * MAX_EXECUTIONS_PER_GRAPH} agent node execution input/outputs" + ) + input_output_data = [] + for node_execution in agent_node_executions: + # Input data + input_output_data.append( + { + "name": "input1", + "data": "{}", + "time": datetime.now(), + "referencedByInputExecId": node_execution.id, + } + ) + # Output data + input_output_data.append( + { + "name": "output1", + "data": "{}", + "time": datetime.now(), + "referencedByOutputExecId": node_execution.id, + } + ) + + await db.agentnodeexecutioninputoutput.create_many(data=input_output_data) + + # Insert AgentNodeLinks + print(f"Inserting {NUM_USERS * MAX_GRAPHS_PER_USER} agent node links") + for graph in agent_graphs: + nodes = [node for node in agent_nodes if node.agentGraphId == graph.id] + if len(nodes) >= 2: + source_node = nodes[0] + sink_node = nodes[1] + await db.agentnodelink.create( + data={ + "agentNodeSourceId": source_node.id, + "sourceName": "output1", + "agentNodeSinkId": sink_node.id, + "sinkName": "input1", + "isStatic": False, + } + ) + + # Insert AnalyticsDetails + print(f"Inserting {NUM_USERS} analytics details") + for user in users: + for _ in range(1): + await db.analyticsdetails.create( + data={ + "userId": user.id, + "type": faker.word(), + "data": prisma.Json({}), + "dataIndex": faker.word(), + } + ) + + # Insert AnalyticsMetrics + print(f"Inserting {NUM_USERS} analytics metrics") + for user in users: + for _ in range(1): + await db.analyticsmetrics.create( + data={ + "userId": user.id, + "analyticMetric": faker.word(), + "value": random.uniform(0, 100), + "dataString": faker.word(), + } + ) + + # Insert CreditTransaction (formerly UserBlockCredit) + print(f"Inserting {NUM_USERS} credit transactions") + for user in users: + for _ in range(1): + block = random.choice(agent_blocks) + await db.credittransaction.create( + data={ + "transactionKey": str(faker.uuid4()), + "userId": user.id, + "blockId": block.id, + "amount": random.randint(1, 100), + "type": ( + prisma.enums.CreditTransactionType.TOP_UP + if random.random() < 0.5 + else prisma.enums.CreditTransactionType.USAGE + ), + "metadata": prisma.Json({}), + } + ) + + # Insert Profiles + profiles = [] + print(f"Inserting {NUM_USERS} profiles") + for user in users: + profile = await db.profile.create( + data={ + "userId": user.id, + "name": user.name or faker.name(), + "username": faker.unique.user_name(), + "description": faker.text(), + "links": [faker.url() for _ in range(3)], + "avatarUrl": get_image(), + } + ) + profiles.append(profile) + + # Insert StoreListings + store_listings = [] + print(f"Inserting {NUM_USERS} store listings") + for graph in agent_graphs: + user = random.choice(users) + listing = await db.storelisting.create( + data={ + "agentId": graph.id, + "agentVersion": graph.version, + "owningUserId": user.id, + "isApproved": random.choice([True, False]), + } + ) + store_listings.append(listing) + + # Insert StoreListingVersions + store_listing_versions = [] + print(f"Inserting {NUM_USERS} store listing versions") + for listing in store_listings: + graph = [g for g in agent_graphs if g.id == listing.agentId][0] + version = await db.storelistingversion.create( + data={ + "agentId": graph.id, + "agentVersion": graph.version, + "slug": faker.slug(), + "name": graph.name or faker.sentence(nb_words=3), + "subHeading": faker.sentence(), + "videoUrl": faker.url(), + "imageUrls": [get_image() for _ in range(3)], + "description": faker.text(), + "categories": [faker.word() for _ in range(3)], + "isFeatured": random.choice([True, False]), + "isAvailable": True, + "isApproved": random.choice([True, False]), + "storeListingId": listing.id, + } + ) + store_listing_versions.append(version) + + # Insert StoreListingReviews + print(f"Inserting {NUM_USERS * MAX_REVIEWS_PER_VERSION} store listing reviews") + for version in store_listing_versions: + # Create a copy of users list and shuffle it to avoid duplicates + available_reviewers = users.copy() + random.shuffle(available_reviewers) + + # Limit number of reviews to available unique reviewers + num_reviews = min( + random.randint(MIN_REVIEWS_PER_VERSION, MAX_REVIEWS_PER_VERSION), + len(available_reviewers), + ) + + # Take only the first num_reviews reviewers + for reviewer in available_reviewers[:num_reviews]: + await db.storelistingreview.create( + data={ + "storeListingVersionId": version.id, + "reviewByUserId": reviewer.id, + "score": random.randint(1, 5), + "comments": faker.text(), + } + ) + + # Insert StoreListingSubmissions + print(f"Inserting {NUM_USERS} store listing submissions") + for listing in store_listings: + version = random.choice(store_listing_versions) + reviewer = random.choice(users) + status: prisma.enums.SubmissionStatus = random.choice( + [ + prisma.enums.SubmissionStatus.PENDING, + prisma.enums.SubmissionStatus.APPROVED, + prisma.enums.SubmissionStatus.REJECTED, + ] + ) + await db.storelistingsubmission.create( + data={ + "storeListingId": listing.id, + "storeListingVersionId": version.id, + "reviewerId": reviewer.id, + "Status": status, + "reviewComments": faker.text(), + } + ) + + # Insert APIKeys + print(f"Inserting {NUM_USERS} api keys") + for user in users: + await db.apikey.create( + data={ + "name": faker.word(), + "prefix": str(faker.uuid4())[:8], + "postfix": str(faker.uuid4())[-8:], + "key": str(faker.sha256()), + "status": prisma.enums.APIKeyStatus.ACTIVE, + "permissions": [ + prisma.enums.APIKeyPermission.EXECUTE_GRAPH, + prisma.enums.APIKeyPermission.READ_GRAPH, + ], + "description": faker.text(), + "userId": user.id, + } + ) + + await db.disconnect() + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/autogpt_platform/frontend/.env.example b/autogpt_platform/frontend/.env.example index 3ef8985b63..879858ecfd 100644 --- a/autogpt_platform/frontend/.env.example +++ b/autogpt_platform/frontend/.env.example @@ -6,6 +6,11 @@ NEXT_PUBLIC_LAUNCHDARKLY_ENABLED=false NEXT_PUBLIC_LAUNCHDARKLY_CLIENT_ID= NEXT_PUBLIC_APP_ENV=dev +## Locale settings + +NEXT_PUBLIC_DEFAULT_LOCALE=en +NEXT_PUBLIC_LOCALES=en,es + ## Supabase credentials NEXT_PUBLIC_SUPABASE_URL=http://localhost:8000 diff --git a/autogpt_platform/frontend/.gitignore b/autogpt_platform/frontend/.gitignore index 2611438bd9..22cda21b77 100644 --- a/autogpt_platform/frontend/.gitignore +++ b/autogpt_platform/frontend/.gitignore @@ -45,3 +45,6 @@ node_modules/ *storybook.log storybook-static +*.ignore.* +*.ign.* +.cursorrules \ No newline at end of file diff --git a/autogpt_platform/frontend/.storybook/main.ts b/autogpt_platform/frontend/.storybook/main.ts index d6f94d7958..62db72c320 100644 --- a/autogpt_platform/frontend/.storybook/main.ts +++ b/autogpt_platform/frontend/.storybook/main.ts @@ -3,12 +3,15 @@ import type { StorybookConfig } from "@storybook/nextjs"; const config: StorybookConfig = { stories: ["../src/**/*.mdx", "../src/**/*.stories.@(js|jsx|mjs|ts|tsx)"], addons: [ + "@storybook/addon-a11y", "@storybook/addon-onboarding", "@storybook/addon-links", "@storybook/addon-essentials", - "@chromatic-com/storybook", "@storybook/addon-interactions", ], + features: { + experimentalRSC: true, + }, framework: { name: "@storybook/nextjs", options: {}, diff --git a/autogpt_platform/frontend/.storybook/preview.ts b/autogpt_platform/frontend/.storybook/preview.ts index 2c5c6ea845..b8bef1a320 100644 --- a/autogpt_platform/frontend/.storybook/preview.ts +++ b/autogpt_platform/frontend/.storybook/preview.ts @@ -1,8 +1,15 @@ import type { Preview } from "@storybook/react"; +import { initialize, mswLoader } from "msw-storybook-addon"; import "../src/app/globals.css"; +// Initialize MSW +initialize(); + const preview: Preview = { parameters: { + nextjs: { + appDirectory: true, + }, controls: { matchers: { color: /(background|color)$/i, @@ -10,6 +17,7 @@ const preview: Preview = { }, }, }, + loaders: [mswLoader], }; export default preview; diff --git a/autogpt_platform/frontend/.storybook/test-runner.ts b/autogpt_platform/frontend/.storybook/test-runner.ts new file mode 100644 index 0000000000..fc12dcc48d --- /dev/null +++ b/autogpt_platform/frontend/.storybook/test-runner.ts @@ -0,0 +1,22 @@ +import type { TestRunnerConfig } from "@storybook/test-runner"; +import { injectAxe, checkA11y } from "axe-playwright"; + +/* + * See https://storybook.js.org/docs/writing-tests/test-runner#test-hook-api + * to learn more about the test-runner hooks API. + */ +const config: TestRunnerConfig = { + async preVisit(page) { + await injectAxe(page); + }, + async postVisit(page) { + await checkA11y(page, "#storybook-root", { + detailedReport: true, + detailedReportOptions: { + html: true, + }, + }); + }, +}; + +export default config; diff --git a/autogpt_platform/frontend/Dockerfile b/autogpt_platform/frontend/Dockerfile index 2d92d69eaa..8d50992212 100644 --- a/autogpt_platform/frontend/Dockerfile +++ b/autogpt_platform/frontend/Dockerfile @@ -7,18 +7,21 @@ RUN --mount=type=cache,target=/usr/local/share/.cache yarn install --frozen-lock # Dev stage FROM base AS dev ENV NODE_ENV=development +ENV HOSTNAME=0.0.0.0 COPY autogpt_platform/frontend/ . EXPOSE 3000 -CMD ["yarn", "run", "dev"] +CMD ["yarn", "run", "dev", "--hostname", "0.0.0.0"] # Build stage for prod FROM base AS build COPY autogpt_platform/frontend/ . +ENV SKIP_STORYBOOK_TESTS=true RUN yarn build # Prod stage - based on NextJS reference Dockerfile https://github.com/vercel/next.js/blob/64271354533ed16da51be5dce85f0dbd15f17517/examples/with-docker/Dockerfile FROM node:21-alpine AS prod ENV NODE_ENV=production +ENV HOSTNAME=0.0.0.0 WORKDIR /app RUN addgroup --system --gid 1001 nodejs diff --git a/autogpt_platform/frontend/next.config.mjs b/autogpt_platform/frontend/next.config.mjs index e96de25bca..6700943d43 100644 --- a/autogpt_platform/frontend/next.config.mjs +++ b/autogpt_platform/frontend/next.config.mjs @@ -3,16 +3,16 @@ import { withSentryConfig } from "@sentry/nextjs"; /** @type {import('next').NextConfig} */ const nextConfig = { images: { - domains: ["images.unsplash.com"], - }, - async redirects() { - return [ - { - source: "/monitor", // FIXME: Remove after 2024-09-01 - destination: "/", - permanent: false, - }, - ]; + domains: [ + "images.unsplash.com", + "ddz4ak4pa3d19.cloudfront.net", + "upload.wikimedia.org", + "storage.googleapis.com", + + "picsum.photos", // for placeholder images + "dummyimage.com", // for placeholder images + "placekitten.com", // for placeholder images + ], }, output: "standalone", // TODO: Re-enable TypeScript checks once current issues are resolved @@ -46,7 +46,7 @@ export default withSentryConfig(nextConfig, { // This can increase your server load as well as your hosting bill. // Note: Check that the configured route will not match with your Next.js middleware, otherwise reporting of client- // side errors will fail. - tunnelRoute: "/monitoring", + tunnelRoute: "/store", // Hides source maps from generated client bundles hideSourceMaps: true, diff --git a/autogpt_platform/frontend/package.json b/autogpt_platform/frontend/package.json index 4b5133d7a3..d72c987f4d 100644 --- a/autogpt_platform/frontend/package.json +++ b/autogpt_platform/frontend/package.json @@ -4,9 +4,9 @@ "private": true, "scripts": { "dev": "next dev", - "dev:nosentry": "export NODE_ENV=development && export DISABLE_SENTRY=true && next dev", - "dev:test": "export NODE_ENV=test && next dev", - "build": "next build", + "dev:nosentry": "NODE_ENV=development && DISABLE_SENTRY=true && next dev", + "dev:test": "NODE_ENV=test && next dev", + "build": "SKIP_STORYBOOK_TESTS=true next build", "start": "next start", "lint": "next lint && prettier --check .", "format": "prettier --write .", @@ -50,13 +50,17 @@ "@tanstack/react-table": "^8.20.5", "@xyflow/react": "^12.3.6", "ajv": "^8.17.1", + "boring-avatars": "^1.11.2", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "1.0.4", "cookie": "1.0.2", "date-fns": "^4.1.0", "dotenv": "^16.4.7", - "elliptic": "6.6.1", + "elliptic": "6.6.0", + "embla-carousel-react": "^8.3.0", + "framer-motion": "^11.11.9", + "geist": "^1.3.1", "launchdarkly-react-client-sdk": "^3.6.0", "lucide-react": "^0.468.0", "moment": "^2.30.1", @@ -78,24 +82,30 @@ }, "devDependencies": { "@chromatic-com/storybook": "^3.2.2", - "@playwright/test": "^1.49.0", - "@storybook/addon-essentials": "^8.4.5", - "@storybook/addon-interactions": "^8.4.5", - "@storybook/addon-links": "^8.4.5", - "@storybook/addon-onboarding": "^8.4.5", - "@storybook/blocks": "^8.4.5", - "@storybook/nextjs": "^8.4.5", + "@playwright/test": "^1.48.2", + "@storybook/addon-a11y": "^8.3.5", + "@storybook/addon-essentials": "^8.4.2", + "@storybook/addon-interactions": "^8.4.2", + "@storybook/addon-links": "^8.4.2", + "@storybook/addon-onboarding": "^8.4.2", + "@storybook/blocks": "^8.4.2", + "@storybook/nextjs": "^8.4.2", "@storybook/react": "^8.3.5", "@storybook/test": "^8.3.5", "@storybook/test-runner": "^0.19.1", - "@types/node": "^22.9.3", + "@types/negotiator": "^0.6.3", + "@types/node": "^22.9.0", "@types/react": "^18", "@types/react-dom": "^18", "@types/react-modal": "^3.16.3", - "concurrently": "^9.1.0", + "axe-playwright": "^2.0.3", + "chromatic": "^11.12.5", + "concurrently": "^9.0.1", "eslint": "^8", "eslint-config-next": "15.0.3", - "eslint-plugin-storybook": "^0.11.1", + "eslint-plugin-storybook": "^0.11.0", + "msw": "^2.5.2", + "msw-storybook-addon": "^2.0.3", "postcss": "^8", "prettier": "^3.3.3", "prettier-plugin-tailwindcss": "^0.6.9", @@ -103,5 +113,10 @@ "tailwindcss": "^3.4.15", "typescript": "^5" }, - "packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e" + "packageManager": "yarn@1.22.22+sha512.a6b2f7906b721bba3d67d4aff083df04dad64c399707841b7acf00f6b133b7ac24255f2652fa22ae3534329dc6180534e98d17432037ff6fd140556e2bb3137e", + "msw": { + "workerDirectory": [ + "public" + ] + } } diff --git a/autogpt_platform/frontend/playwright.config.ts b/autogpt_platform/frontend/playwright.config.ts index e1bcd8d98a..ed0bdc445c 100644 --- a/autogpt_platform/frontend/playwright.config.ts +++ b/autogpt_platform/frontend/playwright.config.ts @@ -30,8 +30,11 @@ export default defineConfig({ /* Collect trace when retrying the failed test. See https://playwright.dev/docs/trace-viewer */ trace: "on-first-retry", + screenshot: "only-on-failure", bypassCSP: true, }, + /* Maximum time one test can run for */ + timeout: 60000, /* Configure projects for major browsers */ projects: [ @@ -40,31 +43,31 @@ export default defineConfig({ use: { ...devices["Desktop Chrome"] }, }, - { - name: "firefox", - use: { ...devices["Desktop Firefox"] }, - }, + // { + // name: "firefox", + // use: { ...devices["Desktop Firefox"] }, + // }, { name: "webkit", use: { ...devices["Desktop Safari"] }, }, - /* Test against mobile viewports. */ - // { - // name: 'Mobile Chrome', - // use: { ...devices['Pixel 5'] }, - // }, - // { - // name: 'Mobile Safari', - // use: { ...devices['iPhone 12'] }, - // }, + // /* Test against mobile viewports. */ + // // { + // // name: 'Mobile Chrome', + // // use: { ...devices['Pixel 5'] }, + // // }, + // // { + // // name: 'Mobile Safari', + // // use: { ...devices['iPhone 12'] }, + // // }, - /* Test against branded browsers. */ - { - name: "Microsoft Edge", - use: { ...devices["Desktop Edge"], channel: "msedge" }, - }, + // /* Test against branded browsers. */ + // { + // name: "Microsoft Edge", + // use: { ...devices["Desktop Edge"], channel: "msedge" }, + // }, // { // name: 'Google Chrome', // use: { ...devices['Desktop Chrome'], channel: 'chrome' }, diff --git a/autogpt_platform/frontend/public/mockServiceWorker.js b/autogpt_platform/frontend/public/mockServiceWorker.js new file mode 100644 index 0000000000..dbc5b1d0cf --- /dev/null +++ b/autogpt_platform/frontend/public/mockServiceWorker.js @@ -0,0 +1,307 @@ +/* eslint-disable */ +/* tslint:disable */ + +/** + * Mock Service Worker. + * @see https://github.com/mswjs/msw + * - Please do NOT modify this file. + * - Please do NOT serve this file on production. + */ + +const PACKAGE_VERSION = '2.6.8' +const INTEGRITY_CHECKSUM = '00729d72e3b82faf54ca8b9621dbb96f' +const IS_MOCKED_RESPONSE = Symbol('isMockedResponse') +const activeClientIds = new Set() + +self.addEventListener('install', function () { + self.skipWaiting() +}) + +self.addEventListener('activate', function (event) { + event.waitUntil(self.clients.claim()) +}) + +self.addEventListener('message', async function (event) { + const clientId = event.source.id + + if (!clientId || !self.clients) { + return + } + + const client = await self.clients.get(clientId) + + if (!client) { + return + } + + const allClients = await self.clients.matchAll({ + type: 'window', + }) + + switch (event.data) { + case 'KEEPALIVE_REQUEST': { + sendToClient(client, { + type: 'KEEPALIVE_RESPONSE', + }) + break + } + + case 'INTEGRITY_CHECK_REQUEST': { + sendToClient(client, { + type: 'INTEGRITY_CHECK_RESPONSE', + payload: { + packageVersion: PACKAGE_VERSION, + checksum: INTEGRITY_CHECKSUM, + }, + }) + break + } + + case 'MOCK_ACTIVATE': { + activeClientIds.add(clientId) + + sendToClient(client, { + type: 'MOCKING_ENABLED', + payload: { + client: { + id: client.id, + frameType: client.frameType, + }, + }, + }) + break + } + + case 'MOCK_DEACTIVATE': { + activeClientIds.delete(clientId) + break + } + + case 'CLIENT_CLOSED': { + activeClientIds.delete(clientId) + + const remainingClients = allClients.filter((client) => { + return client.id !== clientId + }) + + // Unregister itself when there are no more clients + if (remainingClients.length === 0) { + self.registration.unregister() + } + + break + } + } +}) + +self.addEventListener('fetch', function (event) { + const { request } = event + + // Bypass navigation requests. + if (request.mode === 'navigate') { + return + } + + // Opening the DevTools triggers the "only-if-cached" request + // that cannot be handled by the worker. Bypass such requests. + if (request.cache === 'only-if-cached' && request.mode !== 'same-origin') { + return + } + + // Bypass all requests when there are no active clients. + // Prevents the self-unregistered worked from handling requests + // after it's been deleted (still remains active until the next reload). + if (activeClientIds.size === 0) { + return + } + + // Generate unique request ID. + const requestId = crypto.randomUUID() + event.respondWith(handleRequest(event, requestId)) +}) + +async function handleRequest(event, requestId) { + const client = await resolveMainClient(event) + const response = await getResponse(event, client, requestId) + + // Send back the response clone for the "response:*" life-cycle events. + // Ensure MSW is active and ready to handle the message, otherwise + // this message will pend indefinitely. + if (client && activeClientIds.has(client.id)) { + ;(async function () { + const responseClone = response.clone() + + sendToClient( + client, + { + type: 'RESPONSE', + payload: { + requestId, + isMockedResponse: IS_MOCKED_RESPONSE in response, + type: responseClone.type, + status: responseClone.status, + statusText: responseClone.statusText, + body: responseClone.body, + headers: Object.fromEntries(responseClone.headers.entries()), + }, + }, + [responseClone.body], + ) + })() + } + + return response +} + +// Resolve the main client for the given event. +// Client that issues a request doesn't necessarily equal the client +// that registered the worker. It's with the latter the worker should +// communicate with during the response resolving phase. +async function resolveMainClient(event) { + const client = await self.clients.get(event.clientId) + + if (activeClientIds.has(event.clientId)) { + return client + } + + if (client?.frameType === 'top-level') { + return client + } + + const allClients = await self.clients.matchAll({ + type: 'window', + }) + + return allClients + .filter((client) => { + // Get only those clients that are currently visible. + return client.visibilityState === 'visible' + }) + .find((client) => { + // Find the client ID that's recorded in the + // set of clients that have registered the worker. + return activeClientIds.has(client.id) + }) +} + +async function getResponse(event, client, requestId) { + const { request } = event + + // Clone the request because it might've been already used + // (i.e. its body has been read and sent to the client). + const requestClone = request.clone() + + function passthrough() { + // Cast the request headers to a new Headers instance + // so the headers can be manipulated with. + const headers = new Headers(requestClone.headers) + + // Remove the "accept" header value that marked this request as passthrough. + // This prevents request alteration and also keeps it compliant with the + // user-defined CORS policies. + const acceptHeader = headers.get('accept') + if (acceptHeader) { + const values = acceptHeader.split(',').map((value) => value.trim()) + const filteredValues = values.filter( + (value) => value !== 'msw/passthrough', + ) + + if (filteredValues.length > 0) { + headers.set('accept', filteredValues.join(', ')) + } else { + headers.delete('accept') + } + } + + return fetch(requestClone, { headers }) + } + + // Bypass mocking when the client is not active. + if (!client) { + return passthrough() + } + + // Bypass initial page load requests (i.e. static assets). + // The absence of the immediate/parent client in the map of the active clients + // means that MSW hasn't dispatched the "MOCK_ACTIVATE" event yet + // and is not ready to handle requests. + if (!activeClientIds.has(client.id)) { + return passthrough() + } + + // Notify the client that a request has been intercepted. + const requestBuffer = await request.arrayBuffer() + const clientMessage = await sendToClient( + client, + { + type: 'REQUEST', + payload: { + id: requestId, + url: request.url, + mode: request.mode, + method: request.method, + headers: Object.fromEntries(request.headers.entries()), + cache: request.cache, + credentials: request.credentials, + destination: request.destination, + integrity: request.integrity, + redirect: request.redirect, + referrer: request.referrer, + referrerPolicy: request.referrerPolicy, + body: requestBuffer, + keepalive: request.keepalive, + }, + }, + [requestBuffer], + ) + + switch (clientMessage.type) { + case 'MOCK_RESPONSE': { + return respondWithMock(clientMessage.data) + } + + case 'PASSTHROUGH': { + return passthrough() + } + } + + return passthrough() +} + +function sendToClient(client, message, transferrables = []) { + return new Promise((resolve, reject) => { + const channel = new MessageChannel() + + channel.port1.onmessage = (event) => { + if (event.data && event.data.error) { + return reject(event.data.error) + } + + resolve(event.data) + } + + client.postMessage( + message, + [channel.port2].concat(transferrables.filter(Boolean)), + ) + }) +} + +async function respondWithMock(response) { + // Setting response status code to 0 is a no-op. + // However, when responding with a "Response.error()", the produced Response + // instance will have status code set to 0. Since it's not possible to create + // a Response instance with status code 0, handle that use-case separately. + if (response.status === 0) { + return Response.error() + } + + const mockedResponse = new Response(response.body, response) + + Reflect.defineProperty(mockedResponse, IS_MOCKED_RESPONSE, { + value: true, + enumerable: true, + }) + + return mockedResponse +} diff --git a/autogpt_platform/frontend/src/app/build/page.tsx b/autogpt_platform/frontend/src/app/build/page.tsx index 55302556aa..8c0ace995f 100644 --- a/autogpt_platform/frontend/src/app/build/page.tsx +++ b/autogpt_platform/frontend/src/app/build/page.tsx @@ -9,8 +9,7 @@ export default function Home() { return ( ); } diff --git a/autogpt_platform/frontend/src/app/dictionaries/en.json b/autogpt_platform/frontend/src/app/dictionaries/en.json new file mode 100644 index 0000000000..d5f6f3d779 --- /dev/null +++ b/autogpt_platform/frontend/src/app/dictionaries/en.json @@ -0,0 +1,22 @@ +{ + "auth": { + "signIn": "Sign In", + "email": "Email", + "password": "Password", + "submit": "Submit", + "error": "Invalid login credentials" + }, + "dashboard": { + "welcome": "Welcome to your dashboard", + "stats": "Your Stats", + "recentActivity": "Recent Activity" + }, + "admin": { + "title": "Admin Dashboard", + "users": "Users Management", + "settings": "System Settings" + }, + "home": { + "welcome": "Welcome to the Home Page" + } +} diff --git a/autogpt_platform/frontend/src/app/dictionaries/es.json b/autogpt_platform/frontend/src/app/dictionaries/es.json new file mode 100644 index 0000000000..5f71068e70 --- /dev/null +++ b/autogpt_platform/frontend/src/app/dictionaries/es.json @@ -0,0 +1,22 @@ +{ + "auth": { + "signIn": "Iniciar Sesión", + "email": "Correo electrónico", + "password": "Contraseña", + "submit": "Enviar", + "error": "Credenciales inválidas" + }, + "dashboard": { + "welcome": "Bienvenido a tu panel", + "stats": "Tus Estadísticas", + "recentActivity": "Actividad Reciente" + }, + "admin": { + "title": "Panel de Administración", + "users": "Gestión de Usuarios", + "settings": "Configuración del Sistema" + }, + "home": { + "welcome": "Bienvenido a la Página de Inicio" + } +} diff --git a/autogpt_platform/frontend/src/app/globals.css b/autogpt_platform/frontend/src/app/globals.css index 7be802f39b..c2998c08d0 100644 --- a/autogpt_platform/frontend/src/app/globals.css +++ b/autogpt_platform/frontend/src/app/globals.css @@ -2,6 +2,45 @@ @tailwind components; @tailwind utilities; +@layer base { + .font-neue { + font-family: "PP Neue Montreal TT", sans-serif; + } +} + +@layer utilities { + .w-110 { + width: 27.5rem; + } + .h-7\.5 { + height: 1.1875rem; + } + .h-18 { + height: 4.5rem; + } + .h-238 { + height: 14.875rem; + } + .top-158 { + top: 9.875rem; + } + .top-254 { + top: 15.875rem; + } + .top-284 { + top: 17.75rem; + } + .top-360 { + top: 22.5rem; + } + .left-297 { + left: 18.5625rem; + } + .left-34 { + left: 2.125rem; + } +} + @layer utilities { .text-balance { text-wrap: balance; diff --git a/autogpt_platform/frontend/src/app/health/page.tsx b/autogpt_platform/frontend/src/app/health/page.tsx new file mode 100644 index 0000000000..4586a010b4 --- /dev/null +++ b/autogpt_platform/frontend/src/app/health/page.tsx @@ -0,0 +1,3 @@ +export default function HealthPage() { + return
Yay im healthy
; +} diff --git a/autogpt_platform/frontend/src/app/layout.tsx b/autogpt_platform/frontend/src/app/layout.tsx index d175adc210..f93edc7fd8 100644 --- a/autogpt_platform/frontend/src/app/layout.tsx +++ b/autogpt_platform/frontend/src/app/layout.tsx @@ -2,13 +2,15 @@ import React from "react"; import type { Metadata } from "next"; import { Inter } from "next/font/google"; import { Providers } from "@/app/providers"; -import { NavBar } from "@/components/NavBar"; import { cn } from "@/lib/utils"; +import { Navbar } from "@/components/agptui/Navbar"; import "./globals.css"; import TallyPopupSimple from "@/components/TallyPopup"; import { GoogleAnalytics } from "@next/third-parties/google"; import { Toaster } from "@/components/ui/toaster"; +import { IconType } from "@/components/ui/icons"; +import { createServerClient } from "@/lib/supabase/server"; const inter = Inter({ subsets: ["latin"] }); @@ -17,23 +19,88 @@ export const metadata: Metadata = { description: "Your one stop shop to creating AI Agents", }; -export default function RootLayout({ +export default async function RootLayout({ children, }: Readonly<{ children: React.ReactNode; }>) { + const supabase = createServerClient(); + + const { + data: { user }, + } = await supabase.auth.getUser(); + return ( -
- +
+
{children}
diff --git a/autogpt_platform/frontend/src/app/login/actions.ts b/autogpt_platform/frontend/src/app/login/actions.ts index 131fb9de89..506aff8aa5 100644 --- a/autogpt_platform/frontend/src/app/login/actions.ts +++ b/autogpt_platform/frontend/src/app/login/actions.ts @@ -10,6 +10,30 @@ const loginFormSchema = z.object({ password: z.string().min(6).max(64), }); +export async function logout() { + return await Sentry.withServerActionInstrumentation( + "logout", + {}, + async () => { + const supabase = createServerClient(); + + if (!supabase) { + redirect("/error"); + } + + const { error } = await supabase.auth.signOut(); + + if (error) { + console.log("Error logging out", error); + return error.message; + } + + revalidatePath("/", "layout"); + redirect("/login"); + }, + ); +} + export async function login(values: z.infer) { return await Sentry.withServerActionInstrumentation("login", {}, async () => { const supabase = createServerClient(); @@ -22,9 +46,10 @@ export async function login(values: z.infer) { const { data, error } = await supabase.auth.signInWithPassword(values); if (error) { + console.log("Error logging in", error); if (error.status == 400) { // Hence User is not present - redirect("/signup"); + redirect("/login"); } return error.message; @@ -33,8 +58,44 @@ export async function login(values: z.infer) { if (data.session) { await supabase.auth.setSession(data.session); } - + console.log("Logged in"); revalidatePath("/", "layout"); redirect("/"); }); } + +export async function signup(values: z.infer) { + "use server"; + return await Sentry.withServerActionInstrumentation( + "signup", + {}, + async () => { + const supabase = createServerClient(); + + if (!supabase) { + redirect("/error"); + } + + // We are sure that the values are of the correct type because zod validates the form + const { data, error } = await supabase.auth.signUp(values); + + if (error) { + console.log("Error signing up", error); + if (error.message.includes("P0001")) { + return "Please join our waitlist for your turn: https://agpt.co/waitlist"; + } + if (error.code?.includes("user_already_exists")) { + redirect("/login"); + } + return error.message; + } + + if (data.session) { + await supabase.auth.setSession(data.session); + } + console.log("Signed up"); + revalidatePath("/", "layout"); + redirect("/store/profile"); + }, + ); +} diff --git a/autogpt_platform/frontend/src/app/login/page.tsx b/autogpt_platform/frontend/src/app/login/page.tsx index 1c2f3c28e8..ebb2a550b7 100644 --- a/autogpt_platform/frontend/src/app/login/page.tsx +++ b/autogpt_platform/frontend/src/app/login/page.tsx @@ -18,7 +18,7 @@ import { zodResolver } from "@hookform/resolvers/zod"; import { PasswordInput } from "@/components/PasswordInput"; import { FaGoogle, FaGithub, FaDiscord, FaSpinner } from "react-icons/fa"; import { useState } from "react"; -import { useSupabase } from "@/components/SupabaseProvider"; +import { useSupabase } from "@/components/providers/SupabaseProvider"; import { useRouter } from "next/navigation"; import Link from "next/link"; import { Checkbox } from "@/components/ui/checkbox"; @@ -203,14 +203,34 @@ export default function LoginPage() { className="flex w-full justify-center" type="submit" disabled={isLoading} + onClick={async () => { + setIsLoading(true); + const values = form.getValues(); + const result = await login(values); + if (result) { + setFeedback(result); + } + setIsLoading(false); + }} > - Log in + {isLoading ? : "Log in"} + + -
-
- - Create a new Account -

{feedback}

diff --git a/autogpt_platform/frontend/src/app/marketplace/[id]/page.tsx b/autogpt_platform/frontend/src/app/marketplace/[id]/page.tsx deleted file mode 100644 index 1e34917edd..0000000000 --- a/autogpt_platform/frontend/src/app/marketplace/[id]/page.tsx +++ /dev/null @@ -1,41 +0,0 @@ -import { Suspense } from "react"; -import { notFound } from "next/navigation"; -import MarketplaceAPI from "@/lib/marketplace-api"; -import { AgentDetailResponse } from "@/lib/marketplace-api"; -import AgentDetailContent from "@/components/marketplace/AgentDetailContent"; - -async function getAgentDetails(id: string): Promise { - const apiUrl = - process.env.NEXT_PUBLIC_AGPT_MARKETPLACE_URL || - "http://localhost:8015/api/v1/market"; - const api = new MarketplaceAPI(apiUrl); - try { - console.log(`Fetching agent details for id: ${id}`); - const agent = await api.getAgentDetails(id); - console.log(`Agent details fetched:`, agent); - return agent; - } catch (error) { - console.error(`Error fetching agent details:`, error); - throw error; - } -} - -export default async function AgentDetailPage({ - params, -}: { - params: { id: string }; -}) { - let agent: AgentDetailResponse; - - try { - agent = await getAgentDetails(params.id); - } catch (error) { - return notFound(); - } - - return ( - Loading...}> - - - ); -} diff --git a/autogpt_platform/frontend/src/app/marketplace/page.tsx b/autogpt_platform/frontend/src/app/marketplace/page.tsx deleted file mode 100644 index 7fc67c95ae..0000000000 --- a/autogpt_platform/frontend/src/app/marketplace/page.tsx +++ /dev/null @@ -1,352 +0,0 @@ -"use client"; -import React, { useEffect, useMemo, useState, useCallback } from "react"; -import { useRouter } from "next/navigation"; -import Image from "next/image"; -import { Input } from "@/components/ui/input"; -import { Button } from "@/components/ui/button"; -import MarketplaceAPI, { - AgentResponse, - AgentWithRank, -} from "@/lib/marketplace-api"; -import { - ChevronLeft, - ChevronRight, - PlusCircle, - Search, - Star, -} from "lucide-react"; - -// Utility Functions -function debounce any>( - func: T, - wait: number, -): (...args: Parameters) => void { - let timeout: NodeJS.Timeout | null = null; - return (...args: Parameters) => { - if (timeout) clearTimeout(timeout); - timeout = setTimeout(() => func(...args), wait); - }; -} - -// Types -type Agent = AgentResponse | AgentWithRank; - -// Components -const HeroSection: React.FC = () => { - const router = useRouter(); - - return ( -
-
- Marketplace background - -
-
-
-

- AutoGPT Marketplace -

-

- Discover and share proven AI Agents to supercharge your business. -

-
- -
-
- ); -}; - -const SearchInput: React.FC<{ - value: string; - onChange: (e: React.ChangeEvent) => void; -}> = ({ value, onChange }) => ( -
- - -
-); - -const AgentCard: React.FC<{ agent: Agent; featured?: boolean }> = ({ - agent, - featured = false, -}) => { - const router = useRouter(); - - const handleClick = () => { - router.push(`/marketplace/${agent.id}`); - }; - - return ( -
-
-
-

- {agent.name} -

- {featured && } -
-

- {agent.description} -

-
- Categories: {agent.categories?.join(", ")} -
-
-
-
- Updated {new Date(agent.updatedAt).toLocaleDateString()} -
-
Downloads {agent.downloads}
- {"rank" in agent && ( -
- Rank: {agent.rank.toFixed(2)} -
- )} -
-
- ); -}; - -const AgentGrid: React.FC<{ - agents: Agent[]; - title: string; - featured?: boolean; -}> = ({ agents, title, featured = false }) => ( -
-

{title}

-
- {agents.map((agent) => ( - - ))} -
-
-); - -const Pagination: React.FC<{ - page: number; - totalPages: number; - onPrevPage: () => void; - onNextPage: () => void; -}> = ({ page, totalPages, onPrevPage, onNextPage }) => ( -
- - - Page {page} of {totalPages} - - -
-); - -// Main Component -const Marketplace: React.FC = () => { - const apiUrl = - process.env.NEXT_PUBLIC_AGPT_MARKETPLACE_URL || - "http://localhost:8015/api/v1/market"; - const api = useMemo(() => new MarketplaceAPI(apiUrl), [apiUrl]); - - const [searchValue, setSearchValue] = useState(""); - const [searchResults, setSearchResults] = useState([]); - const [featuredAgents, setFeaturedAgents] = useState([]); - const [topAgents, setTopAgents] = useState([]); - const [isLoading, setIsLoading] = useState(false); - const [topAgentsPage, setTopAgentsPage] = useState(1); - const [searchPage, setSearchPage] = useState(1); - const [topAgentsTotalPages, setTopAgentsTotalPages] = useState(1); - const [searchTotalPages, setSearchTotalPages] = useState(1); - - const fetchTopAgents = useCallback( - async (currentPage: number) => { - setIsLoading(true); - try { - const response = await api.getTopDownloadedAgents(currentPage, 9); - setTopAgents(response.items); - setTopAgentsTotalPages(response.total_pages); - } catch (error) { - console.error("Error fetching top agents:", error); - } finally { - setIsLoading(false); - } - }, - [api], - ); - - const fetchFeaturedAgents = useCallback(async () => { - try { - const featured = await api.getFeaturedAgents(); - setFeaturedAgents(featured.items); - } catch (error) { - console.error("Error fetching featured agents:", error); - } - }, [api]); - - const searchAgents = useCallback( - async (searchTerm: string, currentPage: number) => { - setIsLoading(true); - try { - const response = await api.searchAgents(searchTerm, currentPage, 9); - const filteredAgents = response.items.filter((agent) => agent.rank > 0); - setSearchResults(filteredAgents); - setSearchTotalPages(response.total_pages); - } catch (error) { - console.error("Error searching agents:", error); - } finally { - setIsLoading(false); - } - }, - [api], - ); - - const debouncedSearch = useMemo( - () => debounce(searchAgents, 300), - [searchAgents], - ); - - useEffect(() => { - if (searchValue) { - searchAgents(searchValue, searchPage); - } else { - fetchTopAgents(topAgentsPage); - } - }, [searchValue, searchPage, topAgentsPage, searchAgents, fetchTopAgents]); - - useEffect(() => { - fetchFeaturedAgents(); - }, [fetchFeaturedAgents]); - - const handleInputChange = (e: React.ChangeEvent) => { - setSearchValue(e.target.value); - setSearchPage(1); - }; - - const handleNextPage = () => { - if (searchValue) { - if (searchPage < searchTotalPages) { - setSearchPage(searchPage + 1); - } - } else { - if (topAgentsPage < topAgentsTotalPages) { - setTopAgentsPage(topAgentsPage + 1); - } - } - }; - - const handlePrevPage = () => { - if (searchValue) { - if (searchPage > 1) { - setSearchPage(searchPage - 1); - } - } else { - if (topAgentsPage > 1) { - setTopAgentsPage(topAgentsPage - 1); - } - } - }; - - return ( -
- -
- - {isLoading ? ( -
-
-

Loading agents...

-
- ) : searchValue ? ( - searchResults.length > 0 ? ( - <> - - - - ) : ( -
-

- No agents found matching your search criteria. -

-
- ) - ) : ( - <> - {featuredAgents?.length > 0 ? ( - - ) : ( -
-

No Featured Agents found

-
- )} - -
- - {topAgents?.length > 0 ? ( - - ) : ( -
-

No Top Downloaded Agents found

-
- )} - - - )} -
-
- ); -}; - -export default Marketplace; diff --git a/autogpt_platform/frontend/src/app/marketplace/submit/page.tsx b/autogpt_platform/frontend/src/app/marketplace/submit/page.tsx deleted file mode 100644 index 24863130a8..0000000000 --- a/autogpt_platform/frontend/src/app/marketplace/submit/page.tsx +++ /dev/null @@ -1,453 +0,0 @@ -"use client"; - -import React, { useState, useEffect, useMemo } from "react"; -import { useRouter } from "next/navigation"; -import { useForm, Controller } from "react-hook-form"; -import MarketplaceAPI from "@/lib/marketplace-api"; -import AutoGPTServerAPI from "@/lib/autogpt-server-api"; -import { Card } from "@/components/ui/card"; -import { Input } from "@/components/ui/input"; -import { Button } from "@/components/ui/button"; -import { Textarea } from "@/components/ui/textarea"; -import { Alert, AlertTitle, AlertDescription } from "@/components/ui/alert"; -import { Checkbox } from "@/components/ui/checkbox"; -import { - MultiSelector, - MultiSelectorContent, - MultiSelectorInput, - MultiSelectorItem, - MultiSelectorList, - MultiSelectorTrigger, -} from "@/components/ui/multiselect"; -import { - Select, - SelectContent, - SelectItem, - SelectTrigger, - SelectValue, -} from "@/components/ui/select"; - -type FormData = { - name: string; - description: string; - author: string; - keywords: string[]; - categories: string[]; - agreeToTerms: boolean; - selectedAgentId: string; -}; - -const keywords = [ - "Automation", - "AI Workflows", - "Integration", - "Task Automation", - "Data Processing", - "Workflow Management", - "Real-time Analytics", - "Custom Triggers", - "Event-driven", - "API Integration", - "Data Transformation", - "Multi-step Workflows", - "Collaboration Tools", - "Business Process Automation", - "No-code Solutions", - "AI-Powered", - "Smart Notifications", - "Data Syncing", - "User Engagement", - "Reporting Automation", - "Lead Generation", - "Customer Support Automation", - "E-commerce Automation", - "Social Media Management", - "Email Marketing Automation", - "Document Management", - "Data Enrichment", - "Performance Tracking", - "Predictive Analytics", - "Resource Allocation", - "Chatbot", - "Virtual Assistant", - "Workflow Automation", - "Social Media Manager", - "Email Optimizer", - "Content Generator", - "Data Analyzer", - "Task Scheduler", - "Customer Service Bot", - "Personalization Engine", -]; - -const SubmitPage: React.FC = () => { - const router = useRouter(); - const { - control, - handleSubmit, - watch, - setValue, - formState: { errors }, - } = useForm({ - defaultValues: { - selectedAgentId: "", // Initialize with an empty string - name: "", - description: "", - author: "", - keywords: [], - categories: [], - agreeToTerms: false, - }, - }); - const [isSubmitting, setIsSubmitting] = useState(false); - const [submitError, setSubmitError] = useState(null); - const [userAgents, setUserAgents] = useState< - Array<{ id: string; name: string; version: number }> - >([]); - const [selectedAgentGraph, setSelectedAgentGraph] = useState(null); - - const selectedAgentId = watch("selectedAgentId"); - - useEffect(() => { - const fetchUserAgents = async () => { - const api = new AutoGPTServerAPI(); - const agents = await api.listGraphs(); - console.log(agents); - setUserAgents( - agents.map((agent) => ({ - id: agent.id, - name: agent.name || `Agent (${agent.id})`, - version: agent.version, - })), - ); - }; - - fetchUserAgents(); - }, []); - - useEffect(() => { - const fetchAgentGraph = async () => { - if (selectedAgentId) { - const api = new AutoGPTServerAPI(); - const graph = await api.getGraph(selectedAgentId, undefined, true); - setSelectedAgentGraph(graph); - setValue("name", graph.name); - setValue("description", graph.description); - } - }; - - fetchAgentGraph(); - }, [selectedAgentId, setValue]); - - const onSubmit = async (data: FormData) => { - setIsSubmitting(true); - setSubmitError(null); - - if (!data.agreeToTerms) { - throw new Error("You must agree to the terms of use"); - } - - try { - if (!selectedAgentGraph) { - throw new Error("Please select an agent"); - } - - const api = new MarketplaceAPI(); - await api.submitAgent( - { - ...selectedAgentGraph, - name: data.name, - description: data.description, - }, - data.author, - data.keywords, - data.categories, - ); - - router.push("/marketplace?submission=success"); - } catch (error) { - console.error("Submission error:", error); - setSubmitError( - error instanceof Error ? error.message : "An unknown error occurred", - ); - } finally { - setIsSubmitting(false); - } - }; - - return ( -
-

Submit Your Agent

- -
-
- ( -
- - - {errors.selectedAgentId && ( -

- {errors.selectedAgentId.message} -

- )} -
- )} - /> - - {/* {selectedAgentGraph && ( -
- - - - -
- )} */} - - ( -
- - - {errors.name && ( -

- {errors.name.message} -

- )} -
- )} - /> - - ( -
- - +
+
+ +
+ + +
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/RatingCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/RatingCard.stories.tsx new file mode 100644 index 0000000000..64b7a2f55e --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/RatingCard.stories.tsx @@ -0,0 +1,44 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { RatingCard } from "./RatingCard"; + +const meta = { + title: "AGPT UI/RatingCard", + component: RatingCard, + parameters: { + layout: "centered", + }, + tags: ["autodocs"], +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +export const Default: Story = { + args: { + agentName: "Test Agent", + onSubmit: (rating) => { + console.log("Rating submitted:", rating); + }, + onClose: () => { + console.log("Rating card closed"); + }, + }, +}; + +export const LongAgentName: Story = { + args: { + agentName: "Very Long Agent Name That Might Need Special Handling", + onSubmit: (rating) => { + console.log("Rating submitted:", rating); + }, + onClose: () => { + console.log("Rating card closed"); + }, + }, +}; + +export const WithoutCallbacks: Story = { + args: { + agentName: "Test Agent", + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/RatingCard.tsx b/autogpt_platform/frontend/src/components/agptui/RatingCard.tsx new file mode 100644 index 0000000000..bc7c1bb24b --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/RatingCard.tsx @@ -0,0 +1,121 @@ +"use client"; + +import * as React from "react"; +import { Cross1Icon } from "@radix-ui/react-icons"; +import { IconStar, IconStarFilled } from "@/components/ui/icons"; +import { createClient } from "@/lib/supabase/client"; +import { AutoGPTServerAPI } from "@/lib/autogpt-server-api/client"; + +interface RatingCardProps { + agentName: string; + storeListingVersionId: string; +} + +export const RatingCard: React.FC = ({ + agentName, + storeListingVersionId, +}) => { + const [rating, setRating] = React.useState(0); + const [hoveredRating, setHoveredRating] = React.useState(0); + const [isVisible, setIsVisible] = React.useState(true); + + const supabase = React.useMemo(() => createClient(), []); + + const api = React.useMemo( + () => + new AutoGPTServerAPI( + process.env.NEXT_PUBLIC_AGPT_SERVER_URL, + process.env.NEXT_PUBLIC_AGPT_WS_SERVER_URL, + supabase, + ), + [supabase], + ); + + const handleClose = () => { + setIsVisible(false); + }; + + if (!isVisible) return null; + + const handleSubmit = async (rating: number) => { + if (rating > 0) { + console.log(`Rating submitted for ${agentName}:`, rating); + await api.reviewAgent("--", agentName, { + store_listing_version_id: storeListingVersionId, + score: rating, + }); + handleClose(); + } + }; + + const getRatingText = (rating: number) => { + switch (rating) { + case 1: + return "Needs improvement"; + case 2: + return "Meh"; + case 3: + return "Average"; + case 4: + return "Good"; + case 5: + return "Awesome!"; + default: + return "Rate it!"; + } + }; + + return ( +
+ + +
Rate agent
+ +
+ Could you rate {agentName} agent for us? +
+ +
+
+ {[1, 2, 3, 4, 5].map((star) => ( + + ))} +
+ +
+ {getRatingText(hoveredRating || rating)} +
+
+ +
+ +
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/SearchBar.stories.tsx b/autogpt_platform/frontend/src/components/agptui/SearchBar.stories.tsx new file mode 100644 index 0000000000..a807a1d1b8 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/SearchBar.stories.tsx @@ -0,0 +1,86 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { SearchBar } from "./SearchBar"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/Search Bar", + component: SearchBar, + parameters: { + layout: { + center: true, + padding: 0, + }, + nextjs: { + appDirectory: true, + navigation: { + pathname: "/search", + query: { + searchTerm: "", + }, + }, + }, + }, + tags: ["autodocs"], + argTypes: { + placeholder: { control: "text" }, + backgroundColor: { control: "text" }, + iconColor: { control: "text" }, + textColor: { control: "text" }, + placeholderColor: { control: "text" }, + }, + decorators: [ + (Story) => ( +
+ +
+ ), + ], +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +export const Default: Story = { + args: { + placeholder: 'Search for tasks like "optimise SEO"', + }, +}; + +export const CustomStyles: Story = { + args: { + placeholder: "Enter your search query", + backgroundColor: "bg-blue-100", + iconColor: "text-blue-500", + textColor: "text-blue-700", + placeholderColor: "text-blue-400", + }, +}; + +export const WithInteraction: Story = { + args: { + placeholder: "Type and press Enter", + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const input = canvas.getByPlaceholderText("Type and press Enter"); + + await userEvent.type(input, "test query"); + await userEvent.keyboard("{Enter}"); + + await expect(input).toHaveValue("test query"); + }, +}; + +export const EmptySubmit: Story = { + args: { + placeholder: "Empty submit test", + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const input = canvas.getByPlaceholderText("Empty submit test"); + + await userEvent.keyboard("{Enter}"); + + await expect(input).toHaveValue(""); + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx b/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx new file mode 100644 index 0000000000..48ee6b3887 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/SearchBar.tsx @@ -0,0 +1,58 @@ +"use client"; + +import * as React from "react"; +import { useRouter } from "next/navigation"; + +import { MagnifyingGlassIcon } from "@radix-ui/react-icons"; + +interface SearchBarProps { + placeholder?: string; + backgroundColor?: string; + iconColor?: string; + textColor?: string; + placeholderColor?: string; + width?: string; +} + +/** SearchBar component for user input and search functionality. */ +export const SearchBar: React.FC = ({ + placeholder = 'Search for tasks like "optimise SEO"', + backgroundColor = "bg-neutral-100 dark:bg-neutral-800", + iconColor = "text-[#646464] dark:text-neutral-400", + textColor = "text-[#707070] dark:text-neutral-200", + placeholderColor = "text-[#707070] dark:text-neutral-400", + width = "w-9/10 lg:w-[56.25rem]", +}) => { + const router = useRouter(); + + const [searchQuery, setSearchQuery] = React.useState(""); + + const handleSubmit = (event: React.FormEvent) => { + event.preventDefault(); + console.log(searchQuery); + + if (searchQuery.trim()) { + // Encode the search term and navigate to the desired path + const encodedTerm = encodeURIComponent(searchQuery); + router.push(`/store/search?searchTerm=${encodedTerm}`); + } + }; + + return ( + + + setSearchQuery(e.target.value)} + placeholder={placeholder} + className={`flex-grow border-none bg-transparent ${textColor} font-['Geist'] text-lg font-normal leading-[2.25rem] tracking-tight md:text-xl placeholder:${placeholderColor} focus:outline-none`} + data-testid="store-search-input" + /> + + ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/SearchFilterChips.tsx b/autogpt_platform/frontend/src/components/agptui/SearchFilterChips.tsx new file mode 100644 index 0000000000..44b651ca3e --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/SearchFilterChips.tsx @@ -0,0 +1,64 @@ +"use client"; + +import * as React from "react"; + +interface FilterOption { + label: string; + count: number; + value: string; +} + +interface SearchFilterChipsProps { + totalCount?: number; + agentsCount?: number; + creatorsCount?: number; + onFilterChange?: (value: string) => void; +} + +export const SearchFilterChips: React.FC = ({ + totalCount = 10, + agentsCount = 8, + creatorsCount = 2, + onFilterChange, +}) => { + const [selected, setSelected] = React.useState("all"); + + const filters: FilterOption[] = [ + { label: "All", count: totalCount, value: "all" }, + { label: "Agents", count: agentsCount, value: "agents" }, + { label: "Creators", count: creatorsCount, value: "creators" }, + ]; + + const handleFilterClick = (value: string) => { + setSelected(value); + onFilterChange?.(value); + console.log(`Filter selected: ${value}`); + }; + + return ( +
+ {filters.map((filter) => ( + + ))} +
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.stories.tsx b/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.stories.tsx new file mode 100644 index 0000000000..f7898c8557 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.stories.tsx @@ -0,0 +1,23 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { SettingsInputForm } from "./SettingsInputForm"; + +const meta: Meta = { + title: "AGPT UI/Settings/Settings Input Form", + component: SettingsInputForm, + parameters: { + layout: "fullscreen", + }, +}; + +export default meta; +type Story = StoryObj; + +export const Default: Story = { + args: { + email: "johndoe@email.com", + desktopNotifications: { + first: false, + second: true, + }, + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.tsx b/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.tsx new file mode 100644 index 0000000000..699fbb1ea1 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/SettingsInputForm.tsx @@ -0,0 +1,135 @@ +"use client"; + +import * as React from "react"; +import { Button } from "@/components/ui/button"; +import { Switch } from "@/components/ui/switch"; +import { createClient } from "@/lib/supabase/client"; + +interface SettingsInputFormProps { + email?: string; + desktopNotifications?: { + first: boolean; + second: boolean; + }; +} + +export const SettingsInputForm = ({ + email = "johndoe@email.com", + desktopNotifications = { first: false, second: true }, +}: SettingsInputFormProps) => { + const [password, setPassword] = React.useState(""); + const [confirmPassword, setConfirmPassword] = React.useState(""); + const [passwordsMatch, setPasswordsMatch] = React.useState(true); + + const handleSaveChanges = async () => { + if (password !== confirmPassword) { + setPasswordsMatch(false); + return; + } + setPasswordsMatch(true); + const client = createClient(); + if (client) { + try { + const { error } = await client.auth.updateUser({ + password: password, + }); + if (error) { + console.error("Error updating user:", error); + } else { + console.log("User updated successfully"); + } + } catch (error) { + console.error("Error updating user:", error); + } + } + }; + + const handleCancel = () => { + setPassword(""); + setConfirmPassword(""); + setPasswordsMatch(true); + }; + + return ( +
+

+ Settings +

+ + {/* My Account Section */} +
+

+ My account +

+
+ {/* Password Input */} +
+
+ + setPassword(e.target.value)} + className="h-[50px] w-full rounded-[35px] border border-neutral-200 bg-transparent px-6 py-3 text-base text-slate-950 dark:border-neutral-700 dark:text-white" + aria-label="Password field" + /> +
+
+ + {/* Confirm Password Input */} +
+
+ + setConfirmPassword(e.target.value)} + className="h-[50px] w-full rounded-[35px] border border-neutral-200 bg-transparent px-6 py-3 text-base text-slate-950 dark:border-neutral-700 dark:text-white" + aria-label="Confirm Password field" + /> +
+
+
+
+ +
+ +
+
+ + +
+
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/Sidebar.stories.tsx b/autogpt_platform/frontend/src/components/agptui/Sidebar.stories.tsx new file mode 100644 index 0000000000..24a10df1ab --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/Sidebar.stories.tsx @@ -0,0 +1,34 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { Sidebar } from "./Sidebar"; + +const meta = { + title: "AGPT UI/Sidebar", + component: Sidebar, + parameters: { + layout: "centered", + }, + tags: ["autodocs"], + argTypes: { + linkGroups: { control: "object" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +const defaultLinkGroups = [ + { + links: [ + { text: "Agent dashboard", href: "/dashboard" }, + { text: "Integrations", href: "/integrations" }, + { text: "Profile", href: "/profile" }, + { text: "Settings", href: "/settings" }, + ], + }, +]; + +export const Default: Story = { + args: { + linkGroups: defaultLinkGroups, + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx b/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx new file mode 100644 index 0000000000..d75c372c10 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/Sidebar.tsx @@ -0,0 +1,128 @@ +import * as React from "react"; +import Link from "next/link"; +import { Button } from "./Button"; +import { Sheet, SheetContent, SheetTrigger } from "@/components/ui/sheet"; +import { Menu } from "lucide-react"; +import { + IconDashboardLayout, + IconIntegrations, + IconProfile, + IconSliders, +} from "../ui/icons"; + +interface SidebarLinkGroup { + links: { + text: string; + href: string; + }[]; +} + +interface SidebarProps { + linkGroups: SidebarLinkGroup[]; +} + +export const Sidebar: React.FC = ({ linkGroups }) => { + return ( + <> + + + + + +
+
+ + +
+ Creator dashboard +
+ + + +
+ Integrations +
+ + + +
+ Profile +
+ + + +
+ Settings +
+ +
+
+ + + +
+
+
+ + +
+ Agent dashboard +
+ + + +
+ Integrations +
+ + + +
+ Profile +
+ + + +
+ Settings +
+ +
+
+
+ + ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx b/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx new file mode 100644 index 0000000000..df0a1ae169 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/SortDropdown.tsx @@ -0,0 +1,65 @@ +"use client"; + +import * as React from "react"; +import { + DropdownMenu, + DropdownMenuContent, + DropdownMenuItem, + DropdownMenuTrigger, +} from "@/components/ui/dropdown-menu"; +import { ChevronDownIcon } from "@radix-ui/react-icons"; + +const sortOptions: SortOption[] = [ + { label: "Most Recent", value: "recent" }, + { label: "Most Runs", value: "runs" }, + { label: "Highest Rated", value: "rating" }, +]; + +interface SortOption { + label: string; + value: string; +} + +export const SortDropdown: React.FC<{ + onSort: (sortValue: string) => void; +}> = ({ onSort }) => { + const [selected, setSelected] = React.useState(sortOptions[0]); + + const handleSelect = (option: SortOption) => { + setSelected(option); + onSort(option.value); + console.log(`Sorting by: ${option.label} (${option.value})`); + }; + + return ( + + + + Sort by + + + {selected.label} + + + + + {sortOptions.map((option) => ( + handleSelect(option)} + > + {option.label} + + ))} + + + ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/Status.stories.tsx b/autogpt_platform/frontend/src/components/agptui/Status.stories.tsx new file mode 100644 index 0000000000..b4bb9e756f --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/Status.stories.tsx @@ -0,0 +1,55 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { Status, StatusType } from "./Status"; + +const meta = { + title: "AGPT UI/Status", + component: Status, + parameters: { + layout: "centered", + }, + tags: ["autodocs"], + argTypes: { + status: { + control: "select", + options: ["draft", "awaiting_review", "approved", "rejected"], + }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +export const Draft: Story = { + args: { + status: "draft" as StatusType, + }, +}; + +export const AwaitingReview: Story = { + args: { + status: "awaiting_review" as StatusType, + }, +}; + +export const Approved: Story = { + args: { + status: "approved" as StatusType, + }, +}; + +export const Rejected: Story = { + args: { + status: "rejected" as StatusType, + }, +}; + +export const AllStatuses: Story = { + render: () => ( +
+ + + + +
+ ), +}; diff --git a/autogpt_platform/frontend/src/components/agptui/Status.tsx b/autogpt_platform/frontend/src/components/agptui/Status.tsx new file mode 100644 index 0000000000..7e34a7c748 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/Status.tsx @@ -0,0 +1,75 @@ +import * as React from "react"; + +export type StatusType = "draft" | "awaiting_review" | "approved" | "rejected"; + +interface StatusProps { + status: StatusType; +} + +const statusConfig: Record< + StatusType, + { + bgColor: string; + dotColor: string; + text: string; + darkBgColor: string; + darkDotColor: string; + } +> = { + draft: { + bgColor: "bg-blue-50", + dotColor: "bg-blue-500", + text: "Draft", + darkBgColor: "dark:bg-blue-900", + darkDotColor: "dark:bg-blue-300", + }, + awaiting_review: { + bgColor: "bg-amber-50", + dotColor: "bg-amber-500", + text: "Awaiting review", + darkBgColor: "dark:bg-amber-900", + darkDotColor: "dark:bg-amber-300", + }, + approved: { + bgColor: "bg-green-50", + dotColor: "bg-green-500", + text: "Approved", + darkBgColor: "dark:bg-green-900", + darkDotColor: "dark:bg-green-300", + }, + rejected: { + bgColor: "bg-red-50", + dotColor: "bg-red-500", + text: "Rejected", + darkBgColor: "dark:bg-red-900", + darkDotColor: "dark:bg-red-300", + }, +}; + +export const Status: React.FC = ({ status }) => { + /** + * Status component displays a badge with a colored dot and text indicating the agent's status + * @param status - The current status of the agent + * Valid values: 'draft', 'awaiting_review', 'approved', 'rejected' + */ + if (!status) { + return ; + } else if (!statusConfig[status]) { + return ; + } + + const config = statusConfig[status]; + + return ( +
+
+
+ {config.text} +
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/StoreCard.stories.tsx b/autogpt_platform/frontend/src/components/agptui/StoreCard.stories.tsx new file mode 100644 index 0000000000..48eb7fdfa9 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/StoreCard.stories.tsx @@ -0,0 +1,115 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { StoreCard } from "./StoreCard"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/StoreCard", + component: StoreCard, + parameters: { + layout: { + center: true, + fullscreen: true, + padding: 0, + }, + }, + tags: ["autodocs"], + argTypes: { + agentName: { control: "text" }, + agentImage: { control: "text" }, + description: { control: "text" }, + runs: { control: "number" }, + rating: { control: "number", min: 0, max: 5, step: 0.1 }, + onClick: { action: "clicked" }, + avatarSrc: { control: "text" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +export const Default: Story = { + args: { + agentName: "SEO Optimizer", + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: "Optimize your website's SEO with AI-powered suggestions", + runs: 10000, + rating: 4.5, + onClick: () => console.log("Default StoreCard clicked"), + avatarSrc: "https://github.com/shadcn.png", + }, +}; + +export const LowRating: Story = { + args: { + agentName: "Data Analyzer", + agentImage: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + description: "Analyze complex datasets with machine learning algorithms", + runs: 5000, + rating: 2.7, + onClick: () => console.log("LowRating StoreCard clicked"), + avatarSrc: "https://example.com/avatar2.jpg", + }, +}; + +export const HighRuns: Story = { + args: { + agentName: "Code Assistant", + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: "Get AI-powered coding help for various programming languages", + runs: 1000000, + rating: 4.8, + onClick: () => console.log("HighRuns StoreCard clicked"), + avatarSrc: "https://example.com/avatar3.jpg", + }, +}; + +export const WithInteraction: Story = { + args: { + agentName: "Task Planner", + agentImage: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + description: "Plan and organize your tasks efficiently with AI", + runs: 50000, + rating: 4.2, + onClick: () => console.log("WithInteraction StoreCard clicked"), + avatarSrc: "https://example.com/avatar4.jpg", + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const storeCard = canvas.getByText("Task Planner"); + + await userEvent.hover(storeCard); + await userEvent.click(storeCard); + }, +}; + +export const LongDescription: Story = { + args: { + agentName: "AI Writing Assistant", + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: + "Enhance your writing with our advanced AI-powered assistant. It offers real-time suggestions for grammar, style, and tone, helps with research and fact-checking.", + runs: 75000, + rating: 4.7, + onClick: () => console.log("LongDescription StoreCard clicked"), + avatarSrc: "https://example.com/avatar5.jpg", + }, +}; + +export const HiddenAvatar: Story = { + args: { + agentName: "Data Visualizer", + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: "Create stunning visualizations from complex datasets", + runs: 60000, + rating: 4.6, + onClick: () => console.log("HiddenAvatar StoreCard clicked"), + avatarSrc: "https://example.com/avatar6.jpg", + hideAvatar: true, + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx b/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx new file mode 100644 index 0000000000..33d744d388 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/StoreCard.tsx @@ -0,0 +1,109 @@ +import * as React from "react"; +import { Avatar, AvatarFallback, AvatarImage } from "@/components/ui/avatar"; +import Image from "next/image"; +import { StarRatingIcons } from "@/components/ui/icons"; + +interface StoreCardProps { + agentName: string; + agentImage: string; + description: string; + runs: number; + rating: number; + onClick: () => void; + avatarSrc: string; + hideAvatar?: boolean; + creatorName?: string; +} + +export const StoreCard: React.FC = ({ + agentName, + agentImage, + description, + runs, + rating, + onClick, + avatarSrc, + hideAvatar = false, + creatorName, +}) => { + const handleClick = () => { + onClick(); + }; + + return ( +
{ + if (e.key === "Enter" || e.key === " ") { + handleClick(); + } + }} + > + {/* Header Image Section with Avatar */} +
+ {`${agentName} + {!hideAvatar && ( +
+ + + + {(creatorName || agentName).charAt(0)} + + +
+ )} +
+ + {/* Content Section */} +
+ {/* Title and Creator */} +

+ {agentName} +

+ {!hideAvatar && creatorName && ( +

+ by {creatorName} +

+ )} + + {/* Description */} +

+ {description} +

+ + {/* Stats Row */} +
+
+ {runs.toLocaleString()} runs +
+
+ + {rating.toFixed(1)} + +
+ {StarRatingIcons(rating)} +
+
+
+
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx b/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx new file mode 100644 index 0000000000..515a98cda1 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/ThemeToggle.tsx @@ -0,0 +1,45 @@ +"use client"; + +import * as React from "react"; +import { useTheme } from "next-themes"; +import { IconMoon, IconSun } from "@/components/ui/icons"; +import { Button } from "./Button"; + +export function ThemeToggle() { + const { theme, setTheme } = useTheme(); + const [mounted, setMounted] = React.useState(false); + + React.useEffect(() => { + setMounted(true); + }, []); + + if (!mounted) { + return ( +
+
+
+ ); + } + + return ( +
setTheme(theme === "light" ? "dark" : "light")} + role="button" + tabIndex={0} + > +
+ {theme === "light" ? ( + + ) : ( + + )} +
+ Toggle theme +
+ ); +} diff --git a/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.stories.tsx new file mode 100644 index 0000000000..f193f7bc72 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.stories.tsx @@ -0,0 +1,172 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { AgentsSection } from "./AgentsSection"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/Composite/Agents Section", + component: AgentsSection, + parameters: { + layout: { + center: true, + fullscreen: true, + padding: 0, + }, + }, + tags: ["autodocs"], + argTypes: { + sectionTitle: { control: "text" }, + agents: { control: "object" }, + onCardClick: { action: "clicked" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +const mockTopAgents = [ + { + agentName: "SEO Optimizer Pro", + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: + "Boost your website's search engine rankings with our advanced AI-powered SEO optimization tool.", + runs: 50000, + rating: 4.7, + avatarSrc: "https://example.com/avatar1.jpg", + }, + { + agentName: "Content Writer AI", + agentImage: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + description: + "Generate high-quality, engaging content for your blog, social media, or marketing campaigns.", + runs: 75000, + rating: 4.5, + avatarSrc: "https://example.com/avatar2.jpg", + }, + { + agentName: "Data Analyzer Lite", + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: "A basic tool for analyzing small to medium-sized datasets.", + runs: 10000, + rating: 3.8, + avatarSrc: "https://example.com/avatar3.jpg", + }, +]; + +export const Default: Story = { + args: { + sectionTitle: "Top Agents", + agents: mockTopAgents, + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const SingleAgent: Story = { + args: { + sectionTitle: "Top Agents", + agents: [mockTopAgents[0]], + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const NoAgents: Story = { + args: { + sectionTitle: "Top Agents", + agents: [], + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const WithInteraction: Story = { + args: { + sectionTitle: "Top Agents", + agents: mockTopAgents, + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const firstCard = canvas.getAllByRole("store-card")[0]; + await userEvent.click(firstCard); + await expect(firstCard).toHaveAttribute("aria-pressed", "true"); + }, +}; + +export const MultiRowAgents: Story = { + args: { + sectionTitle: "Top Agents", + agents: [ + ...mockTopAgents, + { + agent_name: "Image Recognition AI", + agent_image: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + description: + "Accurately identify and classify objects in images using state-of-the-art machine learning algorithms.", + runs: 60000, + rating: 4.6, + creator_avatar: "https://example.com/avatar4.jpg", + }, + { + agent_name: "Natural Language Processor", + agent_image: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: + "Analyze and understand human language with advanced NLP techniques.", + runs: 80000, + rating: 4.8, + creator_avatar: "https://example.com/avatar5.jpg", + }, + { + agent_name: "Sentiment Analyzer", + agent_image: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + description: + "Determine the emotional tone of text data for customer feedback analysis.", + runs: 45000, + rating: 4.3, + creator_avatar: "https://example.com/avatar6.jpg", + }, + { + agent_name: "Chatbot Builder", + agent_image: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: + "Create intelligent chatbots for customer service and engagement.", + runs: 55000, + rating: 4.4, + creator_avatar: "https://example.com/avatar7.jpg", + }, + { + agent_name: "Predictive Analytics Tool", + agent_image: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + description: + "Forecast future trends and outcomes based on historical data.", + runs: 40000, + rating: 4.2, + creator_avatar: "https://example.com/avatar8.jpg", + }, + { + agent_name: "Text-to-Speech Converter", + agent_image: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + description: + "Convert written text into natural-sounding speech in multiple languages.", + runs: 35000, + rating: 4.1, + creator_avatar: "https://example.com/avatar9.jpg", + }, + ], + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const HiddenAvatars: Story = { + args: { + ...Default.args, + hideAvatars: true, + sectionTitle: "Agents with Hidden Avatars", + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx new file mode 100644 index 0000000000..c0ffa8342e --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/AgentsSection.tsx @@ -0,0 +1,103 @@ +"use client"; + +import * as React from "react"; +import { StoreCard } from "@/components/agptui/StoreCard"; +import { + Carousel, + CarouselContent, + CarouselItem, +} from "@/components/ui/carousel"; +import { useRouter } from "next/navigation"; + +export interface Agent { + slug: string; + agent_name: string; + agent_image: string; + creator: string; + creator_avatar: string; + sub_heading: string; + description: string; + runs: number; + rating: number; +} + +interface AgentsSectionProps { + sectionTitle: string; + agents: Agent[]; + hideAvatars?: boolean; +} + +export const AgentsSection: React.FC = ({ + sectionTitle, + agents: allAgents, + hideAvatars = false, +}) => { + const router = useRouter(); + + // Take only the first 9 agents + const displayedAgents = allAgents.slice(0, 9); + + const handleCardClick = (creator: string, slug: string) => { + router.push(`/store/agent/${creator}/${slug}`); + }; + + return ( +
+
+
+ {sectionTitle} +
+ {!displayedAgents || displayedAgents.length === 0 ? ( +
+ No agents found +
+ ) : ( + <> + {/* Mobile Carousel View */} + + + {displayedAgents.map((agent, index) => ( + + handleCardClick(agent.creator, agent.slug)} + /> + + ))} + + + +
+ {displayedAgents.map((agent, index) => ( + handleCardClick(agent.creator, agent.slug)} + /> + ))} +
+ + )} +
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.stories.tsx new file mode 100644 index 0000000000..19300e0e39 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.stories.tsx @@ -0,0 +1,121 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { FeaturedCreators } from "./FeaturedCreators"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/Composite/Featured Creators", + component: FeaturedCreators, + parameters: { + layout: { + center: true, + fullscreen: true, + padding: 0, + }, + }, + tags: ["autodocs"], + argTypes: { + featuredCreators: { control: "object" }, + onCardClick: { action: "cardClicked" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +const defaultCreators = [ + { + name: "AI Innovator", + username: "ai_innovator", + description: + "Pushing the boundaries of AI technology with cutting-edge solutions and innovative approaches to machine learning.", + avatar_url: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + num_agents: 15, + }, + { + name: "Code Wizard", + username: "code_wizard", + description: + "Crafting elegant solutions with AI and helping others learn the magic of coding.", + avatar_url: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + num_agents: 8, + }, + { + name: "Data Alchemist", + username: "data_alchemist", + description: + "Transforming raw data into AI gold. Specializing in data processing and analytics.", + avatar_url: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + num_agents: 12, + }, + { + name: "ML Master", + username: "ml_master", + description: + "Specializing in machine learning algorithms and neural network architectures.", + avatar_url: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + num_agents: 20, + }, +]; + +export const Default: Story = { + args: { + featuredCreators: defaultCreators, + onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`), + }, +}; + +export const SingleCreator: Story = { + args: { + featuredCreators: [defaultCreators[0]], + onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`), + }, +}; + +export const ManyCreators: Story = { + args: { + featuredCreators: [ + ...defaultCreators, + { + name: "NLP Ninja", + username: "nlp_ninja", + description: + "Expert in natural language processing and text analysis systems.", + avatar_url: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + num_agents: 18, + }, + { + name: "AI Explorer", + username: "ai_explorer", + description: + "Discovering new frontiers in artificial intelligence and autonomous systems.", + avatar_url: + "https://upload.wikimedia.org/wikipedia/commons/c/c5/Big_buck_bunny_poster_big.jpg", + num_agents: 25, + }, + ], + onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`), + }, +}; + +export const WithInteraction: Story = { + args: { + featuredCreators: defaultCreators, + onCardClick: (creatorName) => console.log(`Clicked on ${creatorName}`), + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const creatorCards = canvas.getAllByRole("creator-card"); + const firstCreatorCard = creatorCards[0]; + + await userEvent.hover(firstCreatorCard); + await userEvent.click(firstCreatorCard); + + // Check if the card has the expected hover and click effects + await expect(firstCreatorCard).toHaveClass("hover:shadow-lg"); + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx new file mode 100644 index 0000000000..ec0c1457cd --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedCreators.tsx @@ -0,0 +1,56 @@ +"use client"; + +import * as React from "react"; +import { CreatorCard } from "@/components/agptui/CreatorCard"; +import { useRouter } from "next/navigation"; + +export interface FeaturedCreator { + name: string; + username: string; + description: string; + avatar_url: string; + num_agents: number; +} + +interface FeaturedCreatorsProps { + title?: string; + featuredCreators: FeaturedCreator[]; +} + +export const FeaturedCreators: React.FC = ({ + featuredCreators, + title = "Featured Creators", +}) => { + const router = useRouter(); + + const handleCardClick = (creator: string) => { + router.push(`/store/creator/${creator}`); + }; + + // Only show first 4 creators + const displayedCreators = featuredCreators.slice(0, 4); + + return ( +
+
+

+ {title} +

+ +
+ {displayedCreators.map((creator, index) => ( + handleCardClick(creator.username)} + index={index} + /> + ))} +
+
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.stories.tsx new file mode 100644 index 0000000000..664bbee8c4 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.stories.tsx @@ -0,0 +1,128 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { FeaturedSection } from "./FeaturedSection"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/Composite/Featured Agents", + component: FeaturedSection, + parameters: { + layout: { + center: true, + fullscreen: true, + padding: 0, + }, + }, + tags: ["autodocs"], + argTypes: { + featuredAgents: { control: "object" }, + onCardClick: { action: "clicked" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +const mockFeaturedAgents = [ + { + agentName: "Personalized Morning Coffee Newsletter example of three lines", + subHeading: + "Transform ideas into breathtaking images with this AI-powered Image Generator.", + creatorName: "AI Solutions Inc.", + description: + "Elevate your web content with this powerful AI Webpage Copy Improver. Designed for marketers, SEO specialists, and web developers, this tool analyses and enhances website copy for maximum impact. Using advanced language models, it optimizes text for better clarity, SEO performance, and increased conversion rates.", + runs: 50000, + rating: 4.7, + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + creatorImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + }, + { + agentName: "Data Analyzer Lite", + subHeading: "Basic data analysis tool", + creatorName: "DataTech", + description: + "A lightweight data analysis tool for basic data processing needs.", + runs: 10000, + rating: 2.8, + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + creatorImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + }, + { + agentName: "CodeAssist AI", + subHeading: "Your AI coding companion", + creatorName: "DevTools Co.", + description: + "An intelligent coding assistant that helps developers write better code faster.", + runs: 1000000, + rating: 4.9, + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + creatorImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + }, + { + agentName: "MultiTasker", + subHeading: "All-in-one productivity suite", + creatorName: "Productivity Plus", + description: + "A comprehensive productivity suite that combines task management, note-taking, and project planning into one seamless interface. Features include smart task prioritization, automated scheduling, and AI-powered insights to help you work more efficiently.", + runs: 75000, + rating: 4.5, + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + creatorImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + }, + { + agentName: "QuickTask", + subHeading: "Fast task automation", + creatorName: "EfficientWorks", + description: "Simple and efficient task automation tool.", + runs: 50000, + rating: 4.2, + agentImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + creatorImage: + "https://framerusercontent.com/images/KCIpxr9f97EGJgpaoqnjKsrOPwI.jpg", + }, +]; + +export const Default: Story = { + args: { + featuredAgents: mockFeaturedAgents, + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const SingleAgent: Story = { + args: { + featuredAgents: [mockFeaturedAgents[0]], + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const NoAgents: Story = { + args: { + featuredAgents: [], + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, +}; + +export const WithInteraction: Story = { + args: { + featuredAgents: mockFeaturedAgents, + onCardClick: (agentName: string) => console.log(`Clicked on ${agentName}`), + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const featuredCard = canvas.getByText( + "Personalized Morning Coffee Newsletter example of three lines", + ); + + await userEvent.hover(featuredCard); + await userEvent.click(featuredCard); + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx new file mode 100644 index 0000000000..2e188fcb38 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/FeaturedSection.tsx @@ -0,0 +1,134 @@ +"use client"; + +import * as React from "react"; +import { FeaturedStoreCard } from "@/components/agptui/FeaturedStoreCard"; +import { + Carousel, + CarouselContent, + CarouselItem, +} from "@/components/ui/carousel"; +import { useCallback, useState } from "react"; +import { IconLeftArrow, IconRightArrow } from "@/components/ui/icons"; +import { useRouter } from "next/navigation"; + +const BACKGROUND_COLORS = [ + "bg-violet-200 dark:bg-violet-800", // #ddd6fe / #5b21b6 + "bg-blue-200 dark:bg-blue-800", // #bfdbfe / #1e3a8a + "bg-green-200 dark:bg-green-800", // #bbf7d0 / #065f46 +]; + +export interface FeaturedAgent { + slug: string; + agent_name: string; + agent_image: string; + creator: string; + creator_avatar: string; + sub_heading: string; + description: string; + runs: number; + rating: number; +} + +interface FeaturedSectionProps { + featuredAgents: FeaturedAgent[]; +} + +export const FeaturedSection: React.FC = ({ + featuredAgents, +}) => { + const [currentSlide, setCurrentSlide] = useState(0); + const router = useRouter(); + + const handleCardClick = (creator: string, slug: string) => { + router.push(`/store/agent/${creator}/${slug}`); + }; + + const handlePrevSlide = useCallback(() => { + setCurrentSlide((prev) => + prev === 0 ? featuredAgents.length - 1 : prev - 1, + ); + }, [featuredAgents.length]); + + const handleNextSlide = useCallback(() => { + setCurrentSlide((prev) => + prev === featuredAgents.length - 1 ? 0 : prev + 1, + ); + }, [featuredAgents.length]); + + const getBackgroundColor = (index: number) => { + return BACKGROUND_COLORS[index % BACKGROUND_COLORS.length]; + }; + + return ( +
+
+

+ Featured agents +

+ +
+ + + {featuredAgents.map((agent, index) => ( + + handleCardClick(agent.creator, agent.slug)} + /> + + ))} + + +
+ +
+
+ {featuredAgents.map((_, index) => ( +
+ ))} +
+
+ + +
+
+
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.stories.tsx new file mode 100644 index 0000000000..11b101bd6b --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.stories.tsx @@ -0,0 +1,70 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { HeroSection } from "./HeroSection"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/Composite/Hero Section", + component: HeroSection, + parameters: { + layout: { + center: true, + fullscreen: true, + padding: 0, + }, + }, + tags: ["autodocs"], + argTypes: { + onSearch: { action: "searched" }, + onFilterChange: { action: "filtersChanged" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +export const Default: Story = { + args: { + onSearch: (query: string) => console.log(`Searched: ${query}`), + onFilterChange: (selectedFilters: string[]) => + console.log(`Filters changed: ${selectedFilters.join(", ")}`), + }, +}; + +export const WithInteraction: Story = { + args: { + onSearch: (query: string) => console.log(`Searched: ${query}`), + onFilterChange: (selectedFilters: string[]) => + console.log(`Filters changed: ${selectedFilters.join(", ")}`), + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const searchInput = canvas.getByRole("store-search-input"); + + await userEvent.type(searchInput, "test query"); + await userEvent.keyboard("{Enter}"); + + await expect(searchInput).toHaveValue("test query"); + + const filterChip = canvas.getByText("Marketing"); + await userEvent.click(filterChip); + + await expect(filterChip).toHaveClass("text-[#474747]"); + }, +}; + +export const EmptySearch: Story = { + args: { + onSearch: (query: string) => console.log(`Searched: ${query}`), + onFilterChange: (selectedFilters: string[]) => + console.log(`Filters changed: ${selectedFilters.join(", ")}`), + }, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + const searchInput = canvas.getByRole("store-search-input"); + + await userEvent.click(searchInput); + await userEvent.keyboard("{Enter}"); + + await expect(searchInput).toHaveValue(""); + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx new file mode 100644 index 0000000000..912f3f1641 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/HeroSection.tsx @@ -0,0 +1,60 @@ +"use client"; + +import * as React from "react"; +import { SearchBar } from "@/components/agptui/SearchBar"; +import { FilterChips } from "@/components/agptui/FilterChips"; +import { useRouter } from "next/navigation"; + +export const HeroSection: React.FC = () => { + const router = useRouter(); + + function onFilterChange(selectedFilters: string[]) { + const encodedTerm = encodeURIComponent(selectedFilters.join(", ")); + router.push(`/store/search?searchTerm=${encodedTerm}`); + } + + return ( +
+
+
+

+ + Explore AI agents built for{" "} + + + you + +
+ + by the{" "} + + + community + +

+
+

+ Bringing you AI agents designed by thinkers from around the world +

+
+ +
+
+
+ +
+
+
+
+ ); +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.stories.tsx b/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.stories.tsx new file mode 100644 index 0000000000..9326edc3d7 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.stories.tsx @@ -0,0 +1,52 @@ +import type { Meta, StoryObj } from "@storybook/react"; +import { PublishAgentPopout } from "@/components/agptui/composite/PublishAgentPopout"; +import { userEvent, within, expect } from "@storybook/test"; + +const meta = { + title: "AGPT UI/Composite/Publish Agent Popout", + component: PublishAgentPopout, + parameters: { + layout: "centered", + }, + tags: ["autodocs"], + argTypes: { + trigger: { control: "object" }, + }, +} satisfies Meta; + +export default meta; +type Story = StoryObj; + +export const Default: Story = { + args: {}, +}; + +export const WithCustomTrigger: Story = { + args: { + trigger: , + }, +}; + +export const PublishFlow: Story = { + args: {}, + play: async ({ canvasElement }) => { + const canvas = within(canvasElement); + + // Open popout + const publishButton = canvas.getByText("Publish Agent"); + await userEvent.click(publishButton); + + // Select an agent (assuming one exists) + const agentCard = await canvas.findByRole("button", { + name: /select agent/i, + }); + await userEvent.click(agentCard); + + // Click next + const nextButton = canvas.getByText("Next"); + await userEvent.click(nextButton); + + // Fill out info form + // Note: Actual form interactions would need to be added based on PublishAgentInfo implementation + }, +}; diff --git a/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.tsx b/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.tsx new file mode 100644 index 0000000000..07efa13d55 --- /dev/null +++ b/autogpt_platform/frontend/src/components/agptui/composite/PublishAgentPopout.tsx @@ -0,0 +1,272 @@ +"use client"; + +import * as React from "react"; +import { + Popover, + PopoverTrigger, + PopoverContent, + PopoverAnchor, +} from "@/components/ui/popover"; +import { PublishAgentSelect, Agent } from "../PublishAgentSelect"; +import { PublishAgentInfo } from "../PublishAgentSelectInfo"; +import { PublishAgentAwaitingReview } from "../PublishAgentAwaitingReview"; +import { Button } from "../Button"; +import { + StoreSubmissionRequest, + MyAgentsResponse, +} from "@/lib/autogpt-server-api"; +import { createClient } from "@/lib/supabase/client"; +import { AutoGPTServerAPI } from "@/lib/autogpt-server-api/client"; +import { useRouter } from "next/navigation"; +interface PublishAgentPopoutProps { + trigger?: React.ReactNode; + openPopout?: boolean; + inputStep?: "select" | "info" | "review"; + submissionData?: StoreSubmissionRequest; +} + +export const PublishAgentPopout: React.FC = ({ + trigger, + openPopout = false, + inputStep = "select", + submissionData = { + name: "", + sub_heading: "", + slug: "", + description: "", + image_urls: [], + agent_id: "", + agent_version: 0, + categories: [], + }, +}) => { + const [step, setStep] = React.useState<"select" | "info" | "review">( + inputStep, + ); + const [myAgents, setMyAgents] = React.useState(null); + const [selectedAgent, setSelectedAgent] = React.useState(null); + const [publishData, setPublishData] = + React.useState(submissionData); + const [selectedAgentId, setSelectedAgentId] = React.useState( + null, + ); + const [selectedAgentVersion, setSelectedAgentVersion] = React.useState< + number | null + >(null); + const [open, setOpen] = React.useState(false); + + const popupId = React.useId(); + const router = useRouter(); + + const supabase = React.useMemo(() => createClient(), []); + + const api = React.useMemo( + () => + new AutoGPTServerAPI( + process.env.NEXT_PUBLIC_AGPT_SERVER_URL, + process.env.NEXT_PUBLIC_AGPT_WS_SERVER_URL, + supabase, + ), + [supabase], + ); + + React.useEffect(() => { + console.log("PublishAgentPopout Effect"); + setOpen(openPopout); + setStep(inputStep); + setPublishData(submissionData); + }, [openPopout]); // eslint-disable-line react-hooks/exhaustive-deps + + React.useEffect(() => { + console.log("LoadMyAgents Effect"); + if (open) { + const loadMyAgents = async () => { + try { + const response = await api.getMyAgents(); + setMyAgents(response); + } catch (error) { + console.error("Failed to load my agents:", error); + } + }; + + loadMyAgents(); + } + }, [open, api]); + + const handleClose = () => { + setStep("select"); + setSelectedAgent(null); + setPublishData({ + name: "", + sub_heading: "", + description: "", + image_urls: [], + agent_id: "", + agent_version: 0, + slug: "", + categories: [], + }); + setOpen(false); + }; + + const handleAgentSelect = (agentName: string) => { + setSelectedAgent(agentName); + }; + + const handleNextFromSelect = (agentId: string, agentVersion: number) => { + setStep("info"); + setSelectedAgentId(agentId); + setSelectedAgentVersion(agentVersion); + }; + + const handleNextFromInfo = async ( + name: string, + subHeading: string, + slug: string, + description: string, + imageUrls: string[], + videoUrl: string, + categories: string[], + ) => { + if ( + !name || + !subHeading || + !description || + !imageUrls.length || + !categories.length + ) { + console.error("Missing required fields"); + return; + } + + setPublishData({ + name, + sub_heading: subHeading, + description, + image_urls: imageUrls, + video_url: videoUrl, + agent_id: selectedAgentId || "", + agent_version: selectedAgentVersion || 0, + slug, + categories, + }); + + // Create store submission + try { + const submission = await api.createStoreSubmission({ + name: name, + sub_heading: subHeading, + description: description, + image_urls: imageUrls, + video_url: videoUrl, + agent_id: selectedAgentId || "", + agent_version: selectedAgentVersion || 0, + slug: slug.replace(/\s+/g, "-"), + categories: categories, + }); + console.log("Store submission created:", submission); + } catch (error) { + console.error("Error creating store submission:", error); + } + setStep("review"); + }; + + const handleBack = () => { + if (step === "info") { + setStep("select"); + } else if (step === "review") { + setStep("info"); + } + }; + + const renderContent = () => { + switch (step) { + case "select": + return ( +
+
+
+ ({ + name: agent.agent_name, + id: agent.agent_id, + version: agent.agent_version, + lastEdited: agent.last_edited, + imageSrc: "https://picsum.photos/300/200", // Fallback image if none provided + })) || [] + } + onSelect={handleAgentSelect} + onCancel={handleClose} + onNext={handleNextFromSelect} + onClose={handleClose} + onOpenBuilder={() => router.push("/build")} + /> +
+
+
+ ); + case "info": + return ( +
+
+
+ +
+
+
+ ); + case "review": + return publishData ? ( +
+
+
+ { + router.push("/store/dashboard"); + handleClose(); + }} + /> +
+
+
+ ) : null; + } + }; + + return ( + { + if (isOpen !== open) { + setOpen(isOpen); + } + }} + > + + {trigger || } + + +
+ + + + {renderContent()} + + + ); +}; diff --git a/autogpt_platform/frontend/src/components/cronScheduler.tsx b/autogpt_platform/frontend/src/components/cronScheduler.tsx index 8c092be9d6..9625b2dd19 100644 --- a/autogpt_platform/frontend/src/components/cronScheduler.tsx +++ b/autogpt_platform/frontend/src/components/cronScheduler.tsx @@ -74,9 +74,6 @@ export function CronScheduler({ return ( - - - Schedule Task
diff --git a/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx b/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx index 9fe805ebed..b71b11005c 100644 --- a/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx +++ b/autogpt_platform/frontend/src/components/edit/control/BlocksControl.tsx @@ -155,6 +155,7 @@ export const BlocksControl: React.FC = ({ data-id="blocks-control-popover-trigger" data-testid="blocks-control-blocks-button" name="Blocks" + className="dark:hover:bg-slate-800" > @@ -169,12 +170,12 @@ export const BlocksControl: React.FC = ({ className="absolute -top-3 w-[17rem] rounded-xl border-none p-0 shadow-none md:w-[30rem]" data-id="blocks-control-popover-content" > - +
- + setSearchQuery(e.target.value)} - className="rounded-lg px-8 py-5" + className="rounded-lg px-8 py-5 dark:bg-slate-800 dark:text-white" data-id="blocks-control-search-input" />
@@ -203,7 +204,7 @@ export const BlocksControl: React.FC = ({ return (
setSelectedCategory( selectedCategory === category ? null : category, @@ -216,15 +217,15 @@ export const BlocksControl: React.FC = ({ })}
- + {filteredAvailableBlocks.map((block) => ( = ({
@@ -256,7 +257,7 @@ export const BlocksControl: React.FC = ({ /> = ({ data-id={`block-tooltip-${block.id}`} data-testid={`block-add`} > - +
diff --git a/autogpt_platform/frontend/src/components/edit/control/ControlPanel.tsx b/autogpt_platform/frontend/src/components/edit/control/ControlPanel.tsx index ec06279efb..870d345822 100644 --- a/autogpt_platform/frontend/src/components/edit/control/ControlPanel.tsx +++ b/autogpt_platform/frontend/src/components/edit/control/ControlPanel.tsx @@ -45,11 +45,11 @@ export const ControlPanel = ({ className, }: ControlPanelProps) => { return ( - +
{topChildren} - + {controls.map((control, index) => ( @@ -61,16 +61,22 @@ export const ControlPanel = ({ data-id={`control-button-${index}`} data-testid={`blocks-control-${control.label.toLowerCase()}-button`} disabled={control.disabled || false} + className="dark:bg-slate-900 dark:text-slate-100 dark:hover:bg-slate-800" > {control.icon} {control.label}
- {control.label} + + {control.label} + ))} - + {botChildren}
diff --git a/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx b/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx index 2fdbaa1da0..1ebf7d7eee 100644 --- a/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx +++ b/autogpt_platform/frontend/src/components/edit/control/SaveControl.tsx @@ -21,17 +21,17 @@ interface SaveControlProps { agentMeta: GraphMeta | null; agentName: string; agentDescription: string; - onSave: (isTemplate: boolean | undefined) => void; + onSave: () => void; onNameChange: (name: string) => void; onDescriptionChange: (description: string) => void; pinSavePopover: boolean; } /** - * A SaveControl component to be used within the ControlPanel. It allows the user to save the agent / template. + * A SaveControl component to be used within the ControlPanel. It allows the user to save the agent. * @param {Object} SaveControlProps - The properties of the SaveControl component. * @param {GraphMeta | null} SaveControlProps.agentMeta - The agent's metadata, or null if creating a new agent. - * @param {(isTemplate: boolean | undefined) => void} SaveControlProps.onSave - Function to save the agent or template. + * @param {() => void} SaveControlProps.onSave - Function to save the agent. * @param {(name: string) => void} SaveControlProps.onNameChange - Function to handle name changes. * @param {(description: string) => void} SaveControlProps.onDescriptionChange - Function to handle description changes. * @returns The SaveControl component. @@ -51,15 +51,9 @@ export const SaveControl = ({ * We should migrate this to be handled with form controls and a form library. */ - // Determines if we're saving a template or an agent - let isTemplate = agentMeta?.is_template ? true : undefined; const handleSave = useCallback(() => { - onSave(isTemplate); - }, [onSave, isTemplate]); - - const getType = () => { - return agentMeta?.is_template ? "template" : "agent"; - }; + onSave(); + }, [onSave]); const { toast } = useToast(); @@ -94,7 +88,7 @@ export const SaveControl = ({ data-testid="blocks-control-save-button" name="Save" > - + @@ -106,10 +100,12 @@ export const SaveControl = ({ align="start" data-id="save-control-popover-content" > - +
- + - + {agentMeta?.version && ( <> - + - {!agentMeta && ( - - )} diff --git a/autogpt_platform/frontend/src/components/flow.css b/autogpt_platform/frontend/src/components/flow.css index abbee903b4..cafd54659f 100644 --- a/autogpt_platform/frontend/src/components/flow.css +++ b/autogpt_platform/frontend/src/components/flow.css @@ -1,9 +1,9 @@ /* flow.css or index.css */ body { - font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", - "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue", - sans-serif; + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", + "Oxygen", "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", + "Helvetica Neue", sans-serif; } code { diff --git a/autogpt_platform/frontend/src/components/marketplace/AgentDetailContent.tsx b/autogpt_platform/frontend/src/components/marketplace/AgentDetailContent.tsx index 84ca38ef22..08355836d3 100644 --- a/autogpt_platform/frontend/src/components/marketplace/AgentDetailContent.tsx +++ b/autogpt_platform/frontend/src/components/marketplace/AgentDetailContent.tsx @@ -1,159 +1,96 @@ -"use client"; -import Link from "next/link"; -import { ArrowLeft, Download, Calendar, Tag } from "lucide-react"; -import { Button } from "@/components/ui/button"; -import { - AgentDetailResponse, - InstallationLocation, -} from "@/lib/marketplace-api"; -import MarketplaceAPI from "@/lib/marketplace-api"; -import AutoGPTServerAPI, { GraphCreatable } from "@/lib/autogpt-server-api"; -import "@xyflow/react/dist/style.css"; -import { makeAnalyticsEvent } from "./actions"; -import { useToast } from "../ui/use-toast"; +// "use client"; +// import Link from "next/link"; +// import { ArrowLeft, Download, Calendar, Tag } from "lucide-react"; +// import { Button } from "@/components/ui/button"; +// import AutoGPTServerAPI, { GraphCreatable } from "@/lib/autogpt-server-api"; +// import "@xyflow/react/dist/style.css"; +// import { useToast } from "../ui/use-toast"; -function AgentDetailContent({ agent }: { agent: AgentDetailResponse }) { - const { toast } = useToast(); +// function AgentDetailContent({ agent }: { agent: GraphCreatable }) { +// const { toast } = useToast(); - const downloadAgent = async (id: string): Promise => { - const api = new MarketplaceAPI(); - try { - const file = await api.downloadAgentFile(id); - console.debug(`Agent file downloaded:`, file); +// // const downloadAgent = async (id: string): Promise => { +// // const api = new MarketplaceAPI(); +// // try { +// // const file = await api.downloadAgentFile(id); +// // console.debug(`Agent file downloaded:`, file); - // Create a Blob from the file content - const blob = new Blob([file], { type: "application/json" }); +// // // Create a Blob from the file content +// // const blob = new Blob([file], { type: "application/json" }); - // Create a temporary URL for the Blob - const url = window.URL.createObjectURL(blob); +// // // Create a temporary URL for the Blob +// // const url = window.URL.createObjectURL(blob); - // Create a temporary anchor element - const a = document.createElement("a"); - a.href = url; - a.download = `agent_${id}.json`; // Set the filename +// // // Create a temporary anchor element +// // const a = document.createElement("a"); +// // a.href = url; +// // a.download = `agent_${id}.json`; // Set the filename - // Append the anchor to the body, click it, and remove it - document.body.appendChild(a); - a.click(); - document.body.removeChild(a); +// // // Append the anchor to the body, click it, and remove it +// // document.body.appendChild(a); +// // a.click(); +// // document.body.removeChild(a); - // Revoke the temporary URL - window.URL.revokeObjectURL(url); - } catch (error) { - console.error(`Error downloading agent:`, error); - throw error; - } - }; +// // // Revoke the temporary URL +// // window.URL.revokeObjectURL(url); +// // } catch (error) { +// // console.error(`Error downloading agent:`, error); +// // throw error; +// // } +// // }; - const installGraph = async (id: string): Promise => { - toast({ - title: "Saving and opening a new agent...", - duration: 2000, - }); - const apiUrl = - process.env.NEXT_PUBLIC_AGPT_MARKETPLACE_URL || - "http://localhost:8015/api/v1/market"; - const api = new MarketplaceAPI(apiUrl); +// return ( +//
+//
+// +// +// Back to Marketplace +// +//
+// +//
+//
+//
+//
+//

{agent.name}

+//

+// {agent.description} +//

+//
+//
+//
+//
+//
+// +// Last Updated +//
+//
+// {new Date(agent.updatedAt).toLocaleDateString()} +//
+//
+//
+//
+// +// Categories +//
+//
+// {agent.categories.join(", ")} +//
+//
+//
+//
+//
+//
+// ); +// } - const serverAPIUrl = process.env.NEXT_PUBLIC_AGPT_SERVER_API_URL; - const serverAPI = new AutoGPTServerAPI(serverAPIUrl); - try { - console.debug(`Installing agent with id: ${id}`); - let agent = await api.downloadAgent(id); - console.debug(`Agent downloaded:`, agent); - const data: GraphCreatable = { - id: agent.id, - version: agent.version, - is_active: true, - is_template: false, - name: agent.name, - description: agent.description, - nodes: agent.graph.nodes, - links: agent.graph.links, - }; - const result = await serverAPI.createTemplate(data); - makeAnalyticsEvent({ - event_name: "agent_installed_from_marketplace", - event_data: { - marketplace_agent_id: id, - installed_agent_id: result.id, - installation_location: InstallationLocation.CLOUD, - }, - }); - console.debug(`Agent installed successfully`, result); - serverAPI.createGraph(result.id, agent.version).then((newGraph) => { - window.location.href = `/build?flowID=${newGraph.id}`; - }); - } catch (error) { - console.error(`Error installing agent:`, error); - toast({ - title: "Error saving template", - variant: "destructive", - duration: 2000, - }); - throw error; - } - }; - - return ( -
-
- - - Back to Marketplace - -
- - -
-
-
-
-

{agent.name}

-

- {agent.description} -

-
-
-
-
-
- - Last Updated -
-
- {new Date(agent.updatedAt).toLocaleDateString()} -
-
-
-
- - Categories -
-
- {agent.categories.join(", ")} -
-
-
-
-
-
- ); -} - -export default AgentDetailContent; +// export default AgentDetailContent; diff --git a/autogpt_platform/frontend/src/components/marketplace/actions.ts b/autogpt_platform/frontend/src/components/marketplace/actions.ts index e7cf9832b4..d6ebec32a0 100644 --- a/autogpt_platform/frontend/src/components/marketplace/actions.ts +++ b/autogpt_platform/frontend/src/components/marketplace/actions.ts @@ -1,18 +1,18 @@ -"use server"; +// "use server"; -import * as Sentry from "@sentry/nextjs"; -import MarketplaceAPI, { AnalyticsEvent } from "@/lib/marketplace-api"; -import { checkAuth } from "@/lib/supabase/server"; +// import * as Sentry from "@sentry/nextjs"; +// import MarketplaceAPI, { AnalyticsEvent } from "@/lib/marketplace-api"; +// import { checkAuth } from "@/lib/supabase/server"; -export async function makeAnalyticsEvent(event: AnalyticsEvent) { - return await Sentry.withServerActionInstrumentation( - "makeAnalyticsEvent", - {}, - async () => { - await checkAuth(); - const apiUrl = process.env.AGPT_SERVER_API_URL; - const api = new MarketplaceAPI(); - await api.makeAnalyticsEvent(event); - }, - ); -} +// export async function makeAnalyticsEvent(event: AnalyticsEvent) { +// return await Sentry.withServerActionInstrumentation( +// "makeAnalyticsEvent", +// {}, +// async () => { +// await checkAuth(); +// const apiUrl = process.env.AGPT_SERVER_API_URL; +// const api = new MarketplaceAPI(); +// await api.makeAnalyticsEvent(event); +// }, +// ); +// } diff --git a/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx b/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx index e7d7a1dd8f..56a7e96d39 100644 --- a/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx +++ b/autogpt_platform/frontend/src/components/monitor/AgentFlowList.tsx @@ -2,7 +2,7 @@ import AutoGPTServerAPI, { GraphExecution, GraphMeta, } from "@/lib/autogpt-server-api"; -import React, { useEffect, useMemo, useState } from "react"; +import React, { useMemo } from "react"; import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; import { Button } from "@/components/ui/button"; import { TextRenderer } from "@/components/ui/render"; @@ -17,8 +17,6 @@ import { DropdownMenu, DropdownMenuContent, DropdownMenuItem, - DropdownMenuLabel, - DropdownMenuSeparator, DropdownMenuTrigger, } from "@/components/ui/dropdown-menu"; import { ChevronDownIcon, EnterIcon } from "@radix-ui/react-icons"; @@ -47,11 +45,7 @@ export const AgentFlowList = ({ onSelectFlow: (f: GraphMeta) => void; className?: string; }) => { - const [templates, setTemplates] = useState([]); const api = useMemo(() => new AutoGPTServerAPI(), []); - useEffect(() => { - api.listTemplates().then((templates) => setTemplates(templates)); - }, [api]); return ( @@ -82,30 +76,6 @@ export const AgentFlowList = ({ Import from file - {templates.length > 0 && ( - <> - {/* List of templates */} - - Use a template - {templates.map((template) => ( - { - api - .createGraph(template.id, template.version) - .then((newGraph) => { - window.location.href = `/build?flowID=${newGraph.id}`; - }); - }} - > - - - ))} - - )} @@ -113,7 +83,7 @@ export const AgentFlowList = ({ Import Agent

- Import an Agent (template) from a file + Import an Agent from a file

diff --git a/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx b/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx index 830fa7e8d2..a9ee6cd357 100644 --- a/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx +++ b/autogpt_platform/frontend/src/components/monitor/FlowInfo.tsx @@ -1,9 +1,11 @@ -import React, { useEffect, useMemo, useState } from "react"; +import React, { useEffect, useMemo, useState, useCallback } from "react"; import AutoGPTServerAPI, { GraphExecution, Graph, GraphMeta, safeCopyGraph, + BlockUIType, + BlockIORootSchema, } from "@/lib/autogpt-server-api"; import { Card, CardContent, CardHeader, CardTitle } from "@/components/ui/card"; import { @@ -18,9 +20,9 @@ import { import { Button, buttonVariants } from "@/components/ui/button"; import { ClockIcon, ExitIcon, Pencil2Icon } from "@radix-ui/react-icons"; import Link from "next/link"; -import { exportAsJSONFile } from "@/lib/utils"; +import { exportAsJSONFile, filterBlocksByType } from "@/lib/utils"; import { FlowRunsStats } from "@/components/monitor/index"; -import { Trash2Icon } from "lucide-react"; +import { Trash2Icon, Timer } from "lucide-react"; import { Dialog, DialogContent, @@ -29,6 +31,10 @@ import { DialogDescription, DialogFooter, } from "@/components/ui/dialog"; +import { useToast } from "@/components/ui/use-toast"; +import { CronScheduler } from "@/components/cronScheduler"; +import RunnerInputUI from "@/components/runner-ui/RunnerInputUI"; +import useAgentGraph from "@/hooks/useAgentGraph"; export const FlowInfo: React.FC< React.HTMLAttributes & { @@ -38,7 +44,30 @@ export const FlowInfo: React.FC< refresh: () => void; } > = ({ flow, executions, flowVersion, refresh, ...props }) => { + const { + agentName, + setAgentName, + agentDescription, + setAgentDescription, + savedAgent, + availableNodes, + availableFlows, + getOutputType, + requestSave, + requestSaveAndRun, + requestStopRun, + scheduleRunner, + isRunning, + isScheduling, + setIsScheduling, + nodes, + setNodes, + edges, + setEdges, + } = useAgentGraph(flow.id, false); + const api = useMemo(() => new AutoGPTServerAPI(), []); + const { toast } = useToast(); const [flowVersions, setFlowVersions] = useState(null); const [selectedVersion, setSelectedFlowVersion] = useState( @@ -50,11 +79,102 @@ export const FlowInfo: React.FC< ); const [isDeleteModalOpen, setIsDeleteModalOpen] = useState(false); + const [openCron, setOpenCron] = useState(false); + const [isRunnerInputOpen, setIsRunnerInputOpen] = useState(false); + const isDisabled = !selectedFlowVersion; + + const getBlockInputsAndOutputs = useCallback(() => { + const inputBlocks = filterBlocksByType( + nodes, + (node) => node.data.uiType === BlockUIType.INPUT, + ); + + const outputBlocks = filterBlocksByType( + nodes, + (node) => node.data.uiType === BlockUIType.OUTPUT, + ); + + const inputs = inputBlocks.map((node) => ({ + id: node.id, + type: "input" as const, + inputSchema: node.data.inputSchema as BlockIORootSchema, + hardcodedValues: { + name: (node.data.hardcodedValues as any).name || "", + description: (node.data.hardcodedValues as any).description || "", + value: (node.data.hardcodedValues as any).value, + placeholder_values: + (node.data.hardcodedValues as any).placeholder_values || [], + limit_to_placeholder_values: + (node.data.hardcodedValues as any).limit_to_placeholder_values || + false, + }, + })); + + const outputs = outputBlocks.map((node) => ({ + id: node.id, + type: "output" as const, + hardcodedValues: { + name: (node.data.hardcodedValues as any).name || "Output", + description: + (node.data.hardcodedValues as any).description || + "Output from the agent", + value: (node.data.hardcodedValues as any).value, + }, + result: (node.data.executionResults as any)?.at(-1)?.data?.output, + })); + + return { inputs, outputs }; + }, [nodes]); + + const handleScheduleButton = () => { + if (!selectedFlowVersion) { + toast({ + title: "Please select a flow version before scheduling", + duration: 2000, + }); + return; + } + setOpenCron(true); + }; useEffect(() => { api.getGraphAllVersions(flow.id).then((result) => setFlowVersions(result)); }, [flow.id, api]); + const openRunnerInput = () => setIsRunnerInputOpen(true); + + const runOrOpenInput = () => { + const { inputs } = getBlockInputsAndOutputs(); + if (inputs.length > 0) { + openRunnerInput(); + } else { + requestSaveAndRun(); + } + }; + + const handleInputChange = useCallback( + (nodeId: string, field: string, value: string) => { + setNodes((nds) => + nds.map((node) => { + if (node.id === nodeId) { + return { + ...node, + data: { + ...node.data, + hardcodedValues: { + ...(node.data.hardcodedValues as any), + [field]: value, + }, + }, + }; + } + return node; + }), + ); + }, + [setNodes], + ); + return ( @@ -62,9 +182,6 @@ export const FlowInfo: React.FC< {flow.name} v{flow.version} -

- Agent ID: {flow.id} -

{(flowVersions?.length ?? 0) > 1 && ( @@ -130,6 +247,15 @@ export const FlowInfo: React.FC< > Export +
+ setIsRunnerInputOpen(false)} + blockInputs={getBlockInputsAndOutputs().inputs} + onInputChange={handleInputChange} + onRun={() => { + setIsRunnerInputOpen(false); + requestSaveAndRun(); + }} + isRunning={isRunning} + scheduledInput={false} + isScheduling={false} + onSchedule={async () => {}} // Fixed type error by making async + /> ); }; diff --git a/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx b/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx index 8420bfb70a..b0839f5d33 100644 --- a/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx +++ b/autogpt_platform/frontend/src/components/monitor/FlowRunInfo.tsx @@ -96,12 +96,6 @@ export const FlowRunInfo: React.FC< {flow.name}{" "} v{execution.graph_version} -

- Agent ID: {flow.id} -

-

- Run ID: {execution.execution_id} -

{execution.status === "RUNNING" && ( @@ -121,6 +115,12 @@ export const FlowRunInfo: React.FC<
+

+ Agent ID: {flow.id} +

+

+ Run ID: {flowRun.id} +

Status:{" "} diff --git a/autogpt_platform/frontend/src/components/nav/CreditButton.tsx b/autogpt_platform/frontend/src/components/nav/CreditButton.tsx index 0a8d9d446c..be99516664 100644 --- a/autogpt_platform/frontend/src/components/nav/CreditButton.tsx +++ b/autogpt_platform/frontend/src/components/nav/CreditButton.tsx @@ -11,8 +11,13 @@ export default function CreditButton() { const [credit, setCredit] = useState(null); const fetchCredit = useCallback(async () => { - const response = await api.getUserCredit(); - setCredit(response.credits); + try { + const response = await api.getUserCredit(); + setCredit(response.credits); + } catch (error) { + console.error("Error fetching credit:", error); + setCredit(null); + } }, []); useEffect(() => { diff --git a/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx b/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx index e5b7e48c04..ec1edd8f27 100644 --- a/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx +++ b/autogpt_platform/frontend/src/components/nav/NavBarButtons.tsx @@ -7,6 +7,7 @@ import { LuLaptop, LuShoppingCart } from "react-icons/lu"; import { BehaveAs, cn } from "@/lib/utils"; import { usePathname } from "next/navigation"; import { getBehaveAs } from "@/lib/utils"; +import { IconMarketplace } from "@/components/ui/icons"; import MarketPopup from "./MarketPopup"; export function NavBarButtons({ className }: { className?: string }) { @@ -22,6 +23,11 @@ export function NavBarButtons({ className }: { className?: string }) { text: "Build", icon: , }, + { + href: "/store", + text: "Agent Store", + icon: , + }, ]; const isCloud = getBehaveAs() === BehaveAs.CLOUD; diff --git a/autogpt_platform/frontend/src/components/node-input-components.tsx b/autogpt_platform/frontend/src/components/node-input-components.tsx index cc72baa43d..fb3d34d9c0 100644 --- a/autogpt_platform/frontend/src/components/node-input-components.tsx +++ b/autogpt_platform/frontend/src/components/node-input-components.tsx @@ -77,7 +77,7 @@ const NodeObjectInputTree: FC = ({ key={propKey} className="flex w-full flex-row justify-between space-y-2" > - + {propSchema.title || beautifyString(propKey)} ))}