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main.py
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main.py
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import argparse
from pathlib import Path
from src.TPS import GatherFiles, GatherLoc
# Parse arguments
parser = argparse.ArgumentParser(
prog="TPS",
description="Find city-level locations of Twitter users or tweets themselves",
)
parser.add_argument(
"-cm",
"--city_mapper_path",
default="src/data/city_mapper.xlsx",
help="Excel file which includes city and district names as columns. Check src/data/city_mapper.xlsx",
)
parser.add_argument(
"-c",
"--cities_path",
default="src/data/city_street.xlsx",
help="Text file which has one city per line. Check src/data/cities.txt",
)
parser.add_argument(
"-p",
"--populations_path",
default="None",
help="JSON file which also has the populations of cities. Check src/data/populations.json",
)
parser.add_argument(
"-o",
"--output_dir",
default="./",
help="Directory where the outputs are going to be written onto.",
)
parser.add_argument("-d", "--data_path", required=True, help="Path to the API data")
parser.add_argument(
"-v",
"--verbose",
default=0,
help="To also save the tweet/user information gathered as a JSON file. 0 for no, 1 for yes",
)
parser.add_argument(
"-pb",
"--population_bias",
default=False,
help="Whether to add population bias or not. Bool value.",
)
parser.add_argument(
"-rt",
"--keep_retweets",
default=True,
help="Whether to keep retweets or filter out them. Bool value.",
)
parser.add_argument(
"-u",
"--user_search",
default=True,
help="Whether to search via user-based or tweet-based. Bool value.",
)
parser.add_argument(
"-kw",
"--search_keyword",
default=None,
help="If not none, only gathers tweets with the given keyword in its text.",
)
parser.add_argument(
"-dw",
"--date_window",
default=None,
help="Whether to only get tweets from a specific window. [[YYYY,M,D], X]. X is the length/2 of the interval.",
)
parser.add_argument(
"-gpd",
"--geopandas_path",
default="src/data/turkey.geojson",
help="If coordinates are also in the search, a geojson path of the country's shape is needed. Check src/data/turkey.geojson.",
)
parser.add_argument(
"-pr",
"--priority_queue",
default="coordinates,user_bio,tweet",
help='Which metadata to search for. Format: "coordinates,user_bio,tweet"',
)
parser.print_help()
args = parser.parse_args()
Path(args.output_dir).mkdir(parents=True, exist_ok=True)
# Run the search function
gather_fils = GatherFiles(args.city_mapper_path, args.cities_path)
tps_finder = GatherLoc(gather_fils, population_path=args.populations_path)
tps_finder.get_locations(
data_path=args.data_path,
verbose=args.verbose,
output_dir=args.output_dir,
pop_bias=args.population_bias,
keep_retweets=args.keep_retweets,
user=args.user_search,
search_keyword=args.search_keyword,
date_window=args.date_window,
gpd_path=args.geopandas_path,
priority_queue=args.priority_queue,
)