arcade-mcp/toolkits/salesforce/arcade_salesforce/tools/crm/account.py
Sam Partee b6b4cd0a4c
🏗️ Restructure: Multi-Package Architecture + uv Migration (#412)
### Overview
Major restructuring from monolithic `arcade-ai` package to modular
library architecture with standardized uv-based dependency management.

![arcade-ai Monorepo
(2)](https://github.com/user-attachments/assets/25f102b0-bb87-4a04-9701-d227d05664b1)

### 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>
2025-06-11 16:48:17 -07:00

126 lines
4.2 KiB
Python

import asyncio
from typing import Annotated
from arcade_tdk import ToolContext, tool
from arcade_tdk.auth import OAuth2
from arcade_tdk.errors import ToolExecutionError
from arcade_salesforce.enums import SalesforceObject
from arcade_salesforce.models import SalesforceClient
from arcade_salesforce.utils import clean_account_data
# TODO: We only return up to 10 items of each related object (e.g. contacts). Need to implement
# separate tools for each related object, so that we can return more items, when needed.
@tool(
requires_auth=OAuth2(
id="salesforce",
scopes=[
"read_account",
"read_contact",
"read_lead",
"read_note",
"read_opportunity",
"read_task",
],
)
)
async def get_account_data_by_keywords(
context: ToolContext,
query: Annotated[
str,
"The query to search for accounts. MUST be longer than one character. It will match the "
"keywords against all account fields, such as name, website, phone, address, etc. "
"E.g. 'Acme'",
],
# Note: Salesforce supports up to 200 results, but since we're enriching each account with
# related objects, we limit to 10, so that the response is not too lengthy for LLMs.
limit: Annotated[
int,
"The maximum number of accounts to return. Defaults to 10. Maximum allowed is 10.",
] = 10,
page: Annotated[int, "The page number to return. Defaults to 1 (first page of results)."] = 1,
) -> Annotated[
dict,
"The accounts matching the query with related info: contacts, leads, notes, calls, "
"opportunities, tasks, emails, and events (up to 10 items of each type)",
]:
"""Searches for accounts in Salesforce and returns them with related info: contacts, leads,
notes, calls, opportunities, tasks, emails, and events (up to 10 items of each type).
An account is an organization (such as a customer, supplier, or partner, though more commonly
a customer). In some Salesforce account setups, an account can also represent a person.
"""
if len(query) < 2:
raise ToolExecutionError("The `query` argument must have two or more characters.")
limit = min(limit, 10)
client = SalesforceClient(context.get_auth_token_or_empty())
params = {
"q": query,
"sobjects": [
{
"name": "Account",
"fields": await client.get_object_fields(SalesforceObject.ACCOUNT),
}
],
"in": "ALL",
"overallLimit": limit,
"offset": (page - 1) * limit,
}
response = await client.post("parameterizedSearch", json_data=params)
search_results = response["searchRecords"]
accounts = await asyncio.gather(*[
client.enrich_account(
account_data=account,
limit_per_association=10,
)
for account in search_results
])
return {"accounts": [clean_account_data(account) for account in accounts]}
@tool(
requires_auth=OAuth2(
id="salesforce",
scopes=[
"read_account",
"read_contact",
"read_lead",
"read_note",
"read_opportunity",
"read_task",
],
)
)
async def get_account_data_by_id(
context: ToolContext,
account_id: Annotated[
str,
"The ID of the account to get data for.",
],
) -> Annotated[
dict,
"The account with related info: contacts, leads, notes, calls, opportunities, tasks, emails, "
"and events (up to 10 items of each type)",
]:
"""Gets the account with related info: contacts, leads, notes, calls, opportunities, tasks,
emails, and events (up to 10 items of each type).
An account is an organization (such as a customer, supplier, or partner, though more commonly
a customer). In some Salesforce account setups, an account can also represent a person.
"""
client = SalesforceClient(context.get_auth_token_or_empty())
account = await client.get_account(account_id)
if not account:
return {"account": None, "error": f"No account found with id '{account_id}'"}
account = await client.enrich_account(account_data=account)
account = clean_account_data(account)
return {"account": account}