#Display the top 10 account who have posted a certain term.
#2022 Sallust
#API docs: https://api.smat-app.com/docs
import requests
import argparse
#import plotly.express as px
parser = argparse.ArgumentParser(description='Top Users on Site Based on Term',epilog='eg: top-users.py --chart -t n
igger -s kiwifarms -S 2022-01-01 -U 2022-05-30')
parser.add_argument('--term', '-t', type=str, required=True, help='Search term. ex: nigger')
parser.add_argument('--site', '-s', type=str, required=True, help='Site to search ex: kiwifarms')
parser.add_argument('--since', '-S', type=str, required=True, help='Date to begin search. Format YYYY-MM-DD')
parser.add_argument('--until', '-U', type=str, required=True, help='Date to end search.')
parser.add_argument('--chart', '-C', action='store_true', help='Create a bar chart(requires plotly-chart-generator)'
)
args = parser.parse_args()
#Granular times can be used but
#ex:
#https://api.smat-app.com/activity?term=nigger&site=kiwifarms&since=2022-03-31&until=2022-05-31&esquery=false
api_url = "https://api.smat-app.com/activity?term={0}&site={1}&since={2}&until={3}&esquery=false".format(args.term,a
rgs.site,args.since,args.until)
response = requests.get(api_url)
response_json = (response.json())
stats = response_json["aggregations"]["author_username"]["buckets"]
#Print user stats
for i in stats:
print(i["key"] + ":" + str(i["doc_count"]))
#Create chart via plotly
if args.chart:
import plotly.express as px
x = []
y = []
#Plotly wants two lists for x and y. Convert dict entries into lists
for i in stats:
x.append(i["key"])
y.append(i["doc_count"])
#print(x,y)
#create bar plot
title = "Occurances of {0} by user".format(args.term)
fig = px.bar(
x=x, y=y,
title=title
)
print(fig)
fig.show()
