95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
from typing import Annotated, Any, Optional
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from arcade.sdk import ToolContext
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from arcade.sdk.errors import ToolExecutionError
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from arcade.sdk.tool import tool
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from arcade_search.enums import WalmartSortBy
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from arcade_search.utils import (
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call_serpapi,
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extract_walmart_product_details,
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extract_walmart_results,
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get_walmart_last_page_integer,
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prepare_params,
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)
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@tool(requires_secrets=["SERP_API_KEY"])
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async def search_walmart_products(
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context: ToolContext,
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keywords: Annotated[str, "Keywords to search for. E.g. 'apple iphone' or 'samsung galaxy'"],
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sort_by: Annotated[
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WalmartSortBy,
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"Sort the results by the specified criteria. "
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f"Defaults to '{WalmartSortBy.RELEVANCE.value}'.",
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] = WalmartSortBy.RELEVANCE,
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min_price: Annotated[
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Optional[float],
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"Minimum price to filter the results by. E.g. 100.00",
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] = None,
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max_price: Annotated[
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Optional[float],
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"Maximum price to filter the results by. E.g. 100.00",
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] = None,
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next_day_delivery: Annotated[
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bool,
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"Filters products that are eligible for next day delivery. "
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"Defaults to False (returns all products, regardless of delivery status).",
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] = False,
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page: Annotated[
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int,
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"Page number to fetch. Defaults to 1 (first page of results). "
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"The maximum page value is 100.",
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] = 1,
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) -> Annotated[dict[str, Any], "List of Walmart products matching the search query."]:
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"""Search Walmart products using SerpAPI."""
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if page > 100:
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raise ToolExecutionError(f"The maximum page value for Walmart search is 100, got {page}.")
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sort_by_value = sort_by.to_api_value()
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params = prepare_params(
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"walmart",
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query=keywords,
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sort=sort_by_value,
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# When the user selects a sorting option, we have to disable the relevance sorting
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# using the soft_sort parameter.
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soft_sort=not sort_by_value,
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min_price=min_price,
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max_price=max_price,
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nd_en=next_day_delivery,
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page=page,
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include_filters=False,
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)
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response = call_serpapi(context, params)
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return {
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"products": extract_walmart_results(response.get("organic_results", [])),
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"current_page": page,
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"last_available_page": get_walmart_last_page_integer(response),
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}
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@tool(requires_secrets=["SERP_API_KEY"])
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async def get_walmart_product_details(
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context: ToolContext,
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item_id: Annotated[
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str,
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"Item ID. E.g. '414600577'. This can be retrieved from the search results of the "
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f"{search_walmart_products.__tool_name__} tool.",
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],
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) -> Annotated[dict[str, Any], "Product details"]:
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"""Get product details from Walmart."""
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params = prepare_params("walmart_product", product_id=item_id)
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response = call_serpapi(context, params)
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product_result = response.get("product_result")
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if not product_result:
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return {
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"product_details": None,
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"message": f"No product details found for item ID '{item_id}'.",
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}
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return {"product_details": extract_walmart_product_details(product_result)}
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