async def test_positive_by_channel(mock_aioresponses):
mock_aioresponses.get(
NORMANDY_URL.format(server=NORMANDY_SERVER),
payload=[{
"recipe": {
"id": 111
}
}, {
"recipe": {
"id": 123
}
}],
)
# Ignore the extra recipes reported on beta:
with patch_async(f"{MODULE}.fetch_redash", return_value=FAKE_ROWS):
status, data = await run(server=NORMANDY_SERVER,
api_key="",
channels=["release"])
assert status is True
assert data == {
"missing": [],
"extras": [],
"min_timestamp": "2019-09-16T01:36:12.348",
"max_timestamp": "2019-09-16T07:24:58.741",
}
async def test_negative(mock_aioresponses):
mock_aioresponses.get(
NORMANDY_URL.format(server=NORMANDY_SERVER),
payload=[
{
"recipe": {
"id": 123
}
},
{
"recipe": {
"id": 456
}
},
{
"recipe": {
"id": 789
}
},
],
)
with patch_async(f"{MODULE}.fetch_redash", return_value=FAKE_ROWS):
status, data = await run(server=NORMANDY_SERVER, api_key="")
assert status is False
assert data == {
"missing": [789],
"extras": [],
"min_timestamp": "2019-09-16T01:36:12.348",
"max_timestamp": "2019-09-16T07:24:58.741",
}
async def test_positive_ignore_recents(mock_aioresponses):
mock_aioresponses.get(
NORMANDY_URL.format(server=NORMANDY_SERVER),
payload=[{
"recipe": {
"id": 123
}
}, {
"recipe": {
"id": 456
}
}],
)
mock_aioresponses.get(
RECIPE_URL.format(server=NORMANDY_SERVER, id="111"),
payload={
"id": 111,
"last_updated": "2019-09-16T02:36:12.348Z"
},
)
with patch_async(f"{MODULE}.fetch_redash", return_value=FAKE_ROWS):
status, data = await run(server=NORMANDY_SERVER, api_key="")
assert status is True
assert data == {
"missing": [],
"extras": [],
"min_timestamp": "2019-09-16T01:36:12.348",
"max_timestamp": "2019-09-16T07:24:58.741",
}
async def test_positive(mock_aioresponses):
mock_aioresponses.get(
NORMANDY_URL.format(server=NORMANDY_SERVER),
payload=[{"recipe": {"id": 123}}, {"recipe": {"id": 456}}],
)
with patch_async(f"{MODULE}.fetch_normandy_uptake", return_value=FAKE_ROWS):
status, data = await run(server=NORMANDY_SERVER)
assert status is True
assert data == {
"missing": [],
"min_timestamp": "2019-09-16T01:36:12.348000",
"max_timestamp": "2019-09-16T07:24:58.741000",
}