b6b4cd0a4c
### Overview Major restructuring from monolithic `arcade-ai` package to modular library architecture with standardized uv-based dependency management.  ### New Package Structure - **`arcade-tdk`** - Lightweight toolkit development kit (core decorators, auth) - **`arcade-core`** - Core execution engine and catalog functionality - **`arcade-serve`** - FastAPI/MCP server components - **`arcade-ai`** - Meta package that includes CLI functionality. Optionally include evals via the `evals` extra. Optionally include all packages via the `all` extra. ### Key Benefits - **Lighter Dependencies**: Toolkits now depend only on `arcade-tdk` (~2 deps) vs full `arcade-ai` (~30+ deps) - **Faster Builds**: uv provides 10-100x faster dependency resolution and installation - **Better Modularity**: Clear separation of concerns, consumers import only what they need - **Standard Tooling**: Eliminates custom poetry scripts, uses standard Python packaging ### Migration Impact - All 20 toolkits converted from poetry → uv with `arcade-tdk` dependencies plus `arcade-ai[evals]` and `arcade-serve` dev dependencies. When developing locally, devs should install toolkits via `make install-local`. - Modern Python 3.10+ type hints throughout - Standardized build system with hatchling backend - Enhanced Makefile with robust toolkit management commands - Removed `arcade dev` CLI command - Reduce the number of files created by `arcade new` and add an option to not generate a tests and evals folder. This foundation enables faster development cycles and cleaner dependency chains for the growing toolkit ecosystem. ### Todo After this PR is merged - [ ] Post-merge workflow(s) (release & publish containers, etc) - [ ] Release order plan. @EricGustin suggests releasing in the following order: 1. `arcade-core` version 0.1.0 2. `arcade-serve` version 0.1.0 and `arcade-tdk` version 0.1.0 3. `arcade-ai` version 2.0.0 4. Patch release for all toolkits (all changes in toolkits are internal refactors) - [ ] [Update docs](https://github.com/ArcadeAI/docs/pull/318) --------- Co-authored-by: Eric Gustin <eric@arcade.dev> Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
89 lines
2.9 KiB
Python
89 lines
2.9 KiB
Python
from typing import Annotated, Any, Optional
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from arcade_tdk import ToolContext, tool
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from arcade_tdk.auth import Hubspot
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from arcade_hubspot.enums import HubspotObject
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from arcade_hubspot.models import HubspotCrmClient
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from arcade_hubspot.utils import clean_data
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@tool(
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requires_auth=Hubspot(
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scopes=[
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"oauth",
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"crm.objects.contacts.read",
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],
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),
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)
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async def get_contact_data_by_keywords(
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context: ToolContext,
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keywords: Annotated[
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str,
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"The keywords to search for contacts. It will match against the contact's "
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"first and last name, email addresses, phone numbers, and company name.",
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],
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limit: Annotated[
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int, "The maximum number of contacts to return. Defaults to 10. Max is 100."
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] = 10,
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next_page_token: Annotated[
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Optional[str],
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"The token to get the next page of results. "
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"Defaults to None (returns first page of results)",
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] = None,
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) -> Annotated[
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dict[str, Any],
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"Retrieve contact data with associated companies, deals, calls, "
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"emails, meetings, notes, and tasks.",
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]:
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"""
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Retrieve contact data with associated companies, deals, calls, emails,
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meetings, notes, and tasks.
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"""
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limit = min(limit, 100)
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client = HubspotCrmClient(context.get_auth_token_or_empty())
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return await client.search_by_keywords(
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object_type=HubspotObject.CONTACT,
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keywords=keywords,
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limit=limit,
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next_page_token=next_page_token,
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associations=[
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HubspotObject.CALL,
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HubspotObject.COMPANY,
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HubspotObject.DEAL,
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HubspotObject.EMAIL,
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HubspotObject.MEETING,
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HubspotObject.NOTE,
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HubspotObject.TASK,
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],
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)
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@tool(
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requires_auth=Hubspot(
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scopes=["oauth", "crm.objects.contacts.write"],
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),
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)
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async def create_contact(
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context: ToolContext,
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company_id: Annotated[str, "The ID of the company to create the contact for."],
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first_name: Annotated[str, "The first name of the contact."],
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last_name: Annotated[Optional[str], "The last name of the contact."] = None,
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email: Annotated[Optional[str], "The email address of the contact."] = None,
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phone: Annotated[Optional[str], "The phone number of the contact."] = None,
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mobile_phone: Annotated[Optional[str], "The mobile phone number of the contact."] = None,
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job_title: Annotated[Optional[str], "The job title of the contact."] = None,
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) -> Annotated[dict, "Create a contact associated with a company."]:
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"""Create a contact associated with a company."""
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client = HubspotCrmClient(context.get_auth_token_or_empty())
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response = await client.create_contact(
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company_id=company_id,
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first_name=first_name,
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last_name=last_name,
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email=email,
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phone=phone,
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mobile_phone=mobile_phone,
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job_title=job_title,
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)
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return clean_data(response, HubspotObject.CONTACT)
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