arcade-mcp/toolkits/search/arcade_search/tools/google_flights.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

110 lines
4.4 KiB
Python

from typing import Annotated, Any
from arcade_tdk import ToolContext, tool
from arcade_search.enums import GoogleFlightsMaxStops, GoogleFlightsSortBy, GoogleFlightsTravelClass
from arcade_search.utils import call_serpapi, parse_flight_results, prepare_params
@tool(requires_secrets=["SERP_API_KEY"])
async def search_roundtrip_flights(
context: ToolContext,
departure_airport_code: Annotated[
str, "The departure airport code. An uppercase 3-letter code"
],
arrival_airport_code: Annotated[str, "The arrival airport code. An uppercase 3-letter code"],
outbound_date: Annotated[str, "Flight outbound date in YYYY-MM-DD format"],
return_date: Annotated[str | None, "Flight return date in YYYY-MM-DD format"],
currency_code: Annotated[
str | None, "Currency of the returned prices. Defaults to 'USD'"
] = "USD",
travel_class: Annotated[
GoogleFlightsTravelClass,
"Travel class of the flight. Defaults to 'ECONOMY'",
] = GoogleFlightsTravelClass.ECONOMY,
num_adults: Annotated[int | None, "Number of adult passengers. Defaults to 1"] = 1,
num_children: Annotated[int | None, "Number of child passengers. Defaults to 0"] = 0,
max_stops: Annotated[
GoogleFlightsMaxStops,
"Maximum number of stops (layovers) for the flight. Defaults to any number of stops",
] = GoogleFlightsMaxStops.ANY,
sort_by: Annotated[
GoogleFlightsSortBy,
"The sorting order of the results. Defaults to TOP_FLIGHTS.",
] = GoogleFlightsSortBy.TOP_FLIGHTS,
) -> Annotated[dict[str, Any], "Flight search results from the Google Flights API"]:
"""Retrieve flight search results using Google Flights"""
# Prepare the request
params = prepare_params(
"google_flights",
departure_id=departure_airport_code,
arrival_id=arrival_airport_code,
outbound_date=outbound_date,
return_date=return_date,
currency=currency_code,
travel_class=travel_class.to_api_value(),
adults=num_adults,
children=num_children,
stops=max_stops.to_api_value(),
sort_by=sort_by.to_api_value(),
deep_search=True, # Same search depth of the Google Flights page in the browser
)
# Execute the request
results = call_serpapi(context, params)
# Parse the results
flights = parse_flight_results(results)
return flights
@tool(requires_secrets=["SERP_API_KEY"])
async def search_one_way_flights(
context: ToolContext,
departure_airport_code: Annotated[
str, "The departure airport code. An uppercase 3-letter code"
],
arrival_airport_code: Annotated[str, "The arrival airport code. An uppercase 3-letter code"],
outbound_date: Annotated[str, "Flight departure date in YYYY-MM-DD format"],
currency_code: Annotated[
str | None, "Currency of the returned prices. Defaults to 'USD'"
] = "USD",
travel_class: Annotated[
GoogleFlightsTravelClass,
"Travel class of the flight. Defaults to 'ECONOMY'",
] = GoogleFlightsTravelClass.ECONOMY,
num_adults: Annotated[int | None, "Number of adult passengers. Defaults to 1"] = 1,
num_children: Annotated[int | None, "Number of child passengers. Defaults to 0"] = 0,
max_stops: Annotated[
GoogleFlightsMaxStops,
"Maximum number of stops (layovers) for the flight. Defaults to any number of stops",
] = GoogleFlightsMaxStops.ANY,
sort_by: Annotated[
GoogleFlightsSortBy,
"The sorting order of the results. Defaults to TOP_FLIGHTS.",
] = GoogleFlightsSortBy.TOP_FLIGHTS,
) -> Annotated[dict[str, Any], "Flight search results from the Google Flights API"]:
"""Retrieve flight search results for a one-way flight using Google Flights"""
params = prepare_params(
"google_flights",
departure_id=departure_airport_code,
arrival_id=arrival_airport_code,
outbound_date=outbound_date,
currency=currency_code,
travel_class=travel_class.to_api_value(),
adults=num_adults,
children=num_children,
stops=max_stops.to_api_value(),
sort_by=sort_by.to_api_value(),
type=2, # indicates one-way
deep_search=True, # Same search depth as the Google Flights page in the browser
)
# Execute the request
results = call_serpapi(context, params)
# Parse the results
flights = parse_flight_results(results)
return flights