def test_reader_long():
opts = {
'logging': False,
'cachedir': '/tmp/hapi-data',
'cache': False,
'usecache': False
}
dataset = 'dataset1'
run = 'long'
# Read two parameters
clearcache(opts)
assert readcompare(server, dataset, 'scalar,vector', run, opts)
def test_cache_short():
# Compare read with empty cache with read with hot cache and usecache=True
dataset = 'dataset1'
start = '1970-01-01'
stop = '1970-01-01T00:00:03'
opts = {'logging': False, 'cachedir': '/tmp/hapi-data', 'cache': True}
opts['usecache'] = False
clearcache(opts)
data, meta = hapi(server, dataset, 'scalarint,vectorint', start, stop,
**opts)
opts['usecache'] = True
data2, meta2 = hapi(server, dataset, 'scalarint,vectorint', start, stop,
**opts)
assert np.array_equal(data, data2)
def test_subset_short():
dataset = 'dataset1'
start = '1970-01-01'
stop = '1970-01-01T00:00:03'
opts = {'logging': False, 'cachedir': '/tmp/hapi-data', 'cache': True}
opts['usecache'] = False
# Request two subsets with empty cache. Common parts should be same.
clearcache(opts)
data, meta = hapi(server, dataset, 'scalarint', start, stop, **opts)
clearcache(opts)
data2, meta2 = hapi(server, dataset, 'scalarint,vectorint', start, stop,
**opts)
ok = np.array_equal(data['Time'], data2['Time'])
ok = ok and np.array_equal(data['scalarint'], data2['scalarint'])
assert ok
# Request all parameters and single parameter. Common parameter should be same.
clearcache(opts)
data, meta = hapi(server, dataset, '', start, stop, **opts)
clearcache(opts)
data2, meta2 = hapi(server, dataset, 'vectorint', start, stop, **opts)
ok = np.array_equal(data['Time'], data2['Time'])
ok = ok and np.array_equal(data['vectorint'], data2['vectorint'])
assert ok
opts['usecache'] = True
# Request two subsets with hot cache. Common parts should be same.
data, meta = hapi(server, dataset, 'scalarint', start, stop, **opts)
data2, meta2 = hapi(server, dataset, 'scalarint,vectorint', start, stop,
**opts)
ok = np.array_equal(data['Time'], data2['Time'])
ok = ok and np.array_equal(data['scalarint'], data2['scalarint'])
assert ok
# Request all parameters and single parameter with hot cache. Common parameter should be same.
clearcache(opts)
data, meta = hapi(server, dataset, '', start, stop, **opts)
clearcache(opts)
data2, meta2 = hapi(server, dataset, 'vectorint', start, stop, **opts)
ok = np.array_equal(data['Time'], data2['Time'])
ok = ok and np.array_equal(data['vectorint'], data2['vectorint'])
assert ok
def test_reader_short():
dataset = 'dataset1'
run = 'short'
# Cache = False (will read data into buffer)
opts = {'logging': False, 'cachedir': '/tmp/hapi-data', 'usecache': False}
opts['cache'] = False
# Read one parameter
clearcache(opts)
assert readcompare(server, dataset, 'scalar', run, opts)
# Read two parameters
clearcache(opts)
assert readcompare(server, dataset, 'scalar,vector', run, opts)
# Read all parameters
clearcache(opts)
assert readcompare(server, dataset, '', run, opts)
# Cache = True (will write files then read)
opts['cache'] = True
# Read one parameter
clearcache(opts)
assert readcompare(server, dataset, 'scalar', run, opts)
# Read two parameters
clearcache(opts)
assert readcompare(server, dataset, 'scalar,vector', run, opts)
clearcache(opts)
# Read all parameters
clearcache(opts)
assert readcompare(server, dataset, '', run, opts)
