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extract.py
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"""Extract data on near-Earth objects and close approaches from CSV and JSON files.
The `load_neos` function extracts NEO data from a CSV file, formatted as
described in the project instructions, into a collection of `NearEarthObject`s.
The `load_approaches` function extracts close approach data from a JSON file,
formatted as described in the project instructions, into a collection of
`CloseApproach` objects.
The main module calls these functions with the arguments provided at the command
line, and uses the resulting collections to build an `NEODatabase`.
You'll edit this file in Task 2.
"""
import csv
import json
from models import CloseApproach, NearEarthObject
def load_neos(neo_csv_path):
"""Read near-Earth object information from a CSV file.
:param neo_csv_path: A path to a CSV file containing data about near-Earth objects.
:return: A collection of `NearEarthObject`s.
"""
neos_list = []
with neo_csv_path.open("r") as infile:
reader = csv.DictReader(infile)
for row in reader:
designation = row["pdes"]
name = row["name"]
hazardous = row["pha"]
diameter = row["diameter"]
neos_list.append(NearEarthObject(designation, name, hazardous, diameter))
return neos_list
def load_approaches(cad_json_path):
"""Read close approach data from a JSON file.
:param cad_json_path: A path to a JSON file containing data about close approaches.
:return: A collection of `CloseApproach`es.
"""
close_approach_list = []
with cad_json_path.open("r") as infile:
contents = json.load(infile)
for approaches in contents["data"]:
designation = approaches[contents["fields"].index("des")]
time = approaches[contents["fields"].index("cd")]
distance = approaches[contents["fields"].index("dist")]
velocity = approaches[contents["fields"].index("v_rel")]
close_approach_list.append(
CloseApproach(time, designation, distance, velocity)
)
return close_approach_list