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import os
import requests
import json
from calendar import monthrange
from smolagents.tools import Tool
class NASANeoDataFetcher(Tool):
name = "nasa_neo_data_fetcher"
description = "Retrieves Neo data from the NASA API for the dates in your query then returns the available Neo data."
inputs = {'query': {'type': 'string', 'date range': 'The range of dates to query.'}}
output_type = "string"
def __init__(self):
self.api_key = os.getenv("NASA_API_KEY")
self.root_url = "https://api.nasa.gov/neo/rest/v1/feed?"
def get_nasa_neo_data(self, start_date: str, end_date: str) -> dict:
"""A function to get Near Earth Object data from NASA API. Try this function first before
calling the fetch_neo_data_in_chunks function.
Args:
start_date: A string representing the start date of the data to be fetched.
end_date: A string representing the end date of the data to be fetched.
Returns: The data fetched from the API as a JSON-like dictionary.
"""
params = f"start_date={start_date}&end_date={end_date}&api_key={self.api_key}"
url = self.root_url + params
response = requests.get(url)
if repr(response.status_code) == "200":
data = response.json()
return data
else:
print("Error: ", response.status_code)
def split_month_into_chunks(self, year: int, month: int) -> list:
days_in_month = monthrange(year, month)[1]
first_day = 1
last_day = 7
week_dates = []
while last_day <= days_in_month:
start_date = f"{year}-{month}-{first_day}"
end_date = f"{year}-{month}-{last_day}"
week_dates.append((start_date, end_date))
first_day += 7
last_day += 7
remaining_days = days_in_month - first_day + 1
if remaining_days > 0:
start_date = f"{year}-{month}-{first_day}"
end_date = f"{year}-{month}-{days_in_month}"
week_dates.append((start_date, end_date))
return week_dates
def fetch_neo_data_in_chunks(
self, start_year: int, end_year: int
) -> list[tuple[str, list[dict]]]:
"""A function to fetch Near Earth Object data from NASA API in chunks. Call this function if the API
returns an error when you try to pull data e.g. a 400 or 429.
Args:
start_year: An integer representing the start year of the data to be fetched.
end_year: An integer representing the end year of the data to be fetched.
Returns: A list of Near Earth Object data fetched from the API as a JSON-like dictionary.
"""
neo_data = []
for year in range(start_year, end_year + 1):
for month in range(1, 13):
for chunk in self.split_month_into_chunks(year, month):
start_date, end_date = chunk
print(f"Fetching data for {start_date} to {end_date}")
data = self.get_nasa_neo_data(
start_date=start_date, end_date=end_date
)
if data and "near_earth_objects" in data:
neo_data.extend(data["near_earth_objects"].items())
neo_data_json = json.dumps(neo_data)
return neo_data_json |