def test_system_tabular(self) -> None:
# Arrange
package = "pip"
mocked_url = "https://pypistats.org/api/packages/pip/system"
mocked_response = """{
"data": [
{"category": "Darwin", "downloads": 10734594},
{"category": "Linux", "downloads": 236502274},
{"category": "null", "downloads": 30579325},
{"category": "other", "downloads": 111243},
{"category": "Windows", "downloads": 6527978}
],
"package": "pip",
"type": "system_downloads"
}"""
expected_output = """
| category | percent | downloads |
|:---------|--------:|------------:|
| Linux | 83.14% | 236,502,274 |
| null | 10.75% | 30,579,325 |
| Darwin | 3.77% | 10,734,594 |
| Windows | 2.29% | 6,527,978 |
| other | 0.04% | 111,243 |
| Total | | 284,455,414 |
"""
# Act
respx.get(mocked_url).respond(content=mocked_response)
output = pypistats.system(package)
# Assert
assert output.strip() == expected_output.strip()
def system(args): # pragma: no cover
print(
pypistats.system(
args.package,
os=args.os,
start_date=args.start_date,
end_date=args.end_date,
format=args.format,
total="daily" if args.daily else
("monthly" if args.monthly else "all"),
))
def system(args: argparse.Namespace) -> None: # pragma: no cover
print(
pypistats.system(
args.package,
os=args.os,
start_date=args.start_date,
end_date=args.end_date,
format=args.format,
total="daily" if args.daily else
("monthly" if args.monthly else "all"),
color=args.color,
verbose=args.verbose,
))
format="pandas").drop(columns=['percent'])
downloads = downloads[downloads.category != "Total"]
# try:
exist_downloads = pd.read_csv(trackpath +
downloadfn) # .drop(columns=['percent'])
# exist_downloads = exist_downloads[exist_downloads.category != "Total"]
dl_data = downloads.merge(exist_downloads,
how='outer',
on=['category', 'date', 'downloads']).reindex()
# except:
# dl_data = downloads
dl_data.to_csv(trackpath + downloadfn, index=False)
sysdownloads = pypistats.system("icepyx",
format="pandas").drop(columns=['percent'])
sysdownloads = sysdownloads[sysdownloads.category != "Total"]
# try:
exist_sysdownloads = pd.read_csv(trackpath +
sysdownloadfn) # .drop(columns=['percent'])
# exist_sysdownloads = exist_sysdownloads[exist_sysdownloads.category != "Total"]
exist_sysdownloads['category'] = exist_sysdownloads['category'].fillna("null")
sysdl_data = sysdownloads.merge(exist_sysdownloads,
how='outer',
on=['category', 'date',
'downloads']).reindex()
# except:
# dl_data = sysdownloads
sysdl_data.to_csv(trackpath + sysdownloadfn, index=False)
