Created
June 5, 2020 02:43
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import aiohttp | |
import asyncio | |
import io | |
import pandas as pd | |
lessons = [ | |
# Ed Lesson IDs | |
] | |
token = "" # Ed login token | |
params = { | |
'numbers': '0', | |
'scores': '0', | |
'students': '1', | |
'completions': '1', | |
'strategy': 'best', | |
'ignore_late': '0', | |
'late_no_points': '1', | |
'tz': 'America/Los_Angeles', | |
} | |
async def completion(session, lesson): | |
async with session.post( | |
f"https://us.edstem.org/api/lessons/{lesson}/results.csv", | |
params=params, | |
data={"_token": token} | |
) as response: | |
payload = await response.text() | |
return ( | |
pd.read_csv(io.StringIO(payload)) | |
.set_index("email") | |
.iloc[:, 4:] | |
.notna() | |
.sum(axis=1) | |
.rename(lesson) | |
) | |
async def main(): | |
async with aiohttp.ClientSession() as session: | |
values = await asyncio.gather(*[completion(session, lesson) for lesson in lessons]) | |
return pd.concat(values, axis=1) | |
loop = asyncio.get_event_loop() | |
completions = loop.run_until_complete(main()) | |
print((completions >= completions.median()).sum(axis=1).to_csv(index=True, header=False, sep="\t")) |
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