def test_add_file(self, mock_create_dataset):
"""Test adding a new file to a labbook"""
class DummyContext(object):
def __init__(self, file_handle):
self.dataset_loader = None
self.files = {'uploadChunk': file_handle}
client = Client(mock_create_dataset[3],
middleware=[DataloaderMiddleware()])
# Create file to upload
test_file = os.path.join(tempfile.gettempdir(), "myValidFile.dat")
est_size = 9000000
try:
os.remove(test_file)
except:
pass
with open(test_file, 'wb') as tf:
tf.write(os.urandom(est_size))
new_file_size = os.path.getsize(tf.name)
# Get upload params
chunk_size = 4194000
file_info = os.stat(test_file)
file_size = int(file_info.st_size / 1000)
total_chunks = int(math.ceil(file_info.st_size / chunk_size))
ds = InventoryManager(mock_create_dataset[0]).load_dataset(
'default', 'default', 'dataset1')
fsc = HostFilesystemCache(ds, 'default')
target_file = os.path.join(fsc.current_revision_dir, "myValidFile.dat")
txid = "000-unitest-transaction"
with open(test_file, 'rb') as tf:
# Check for file to exist (shouldn't yet)
assert os.path.exists(target_file) is False
for chunk_index in range(total_chunks):
# Upload a chunk
chunk = io.BytesIO()
chunk.write(tf.read(chunk_size))
chunk.seek(0)
file = FileStorage(chunk)
query = f"""
mutation addDatasetFile{{
addDatasetFile(input:{{owner:"default",
datasetName: "dataset1",
filePath: "myValidFile.dat",
transactionId: "{txid}",
chunkUploadParams:{{
uploadId: "fdsfdsfdsfdfs",
chunkSize: {chunk_size},
totalChunks: {total_chunks},
chunkIndex: {chunk_index},
fileSizeKb: {file_size},
filename: "{os.path.basename(test_file)}"
}}
}}) {{
newDatasetFileEdge {{
node{{
id
key
isDir
size
}}
}}
}}
}}
"""
r = client.execute(query, context_value=DummyContext(file))
assert 'errors' not in r
# So, these will only be populated once the last chunk is uploaded. Will be None otherwise.
assert r['data']['addDatasetFile']['newDatasetFileEdge']['node'][
'isDir'] is False
assert r['data']['addDatasetFile']['newDatasetFileEdge']['node'][
'key'] == 'myValidFile.dat'
assert r['data']['addDatasetFile']['newDatasetFileEdge']['node'][
'size'] == f"{new_file_size}"
# When done uploading, file should exist in the labbook
assert os.path.exists(target_file)
assert os.path.isfile(target_file)
complete_query = f"""
mutation completeQuery {{
completeDatasetUploadTransaction(input: {{
owner: "default",
datasetName: "dataset1",
transactionId: "{txid}"
}}) {{
success
}}
}}
"""
r = client.execute(complete_query, context_value=DummyContext(file))
assert 'errors' not in r
m = Manifest(ds, 'default')
status = m.status()
assert len(status.created) == 0
assert len(status.modified) == 0
assert len(status.deleted) == 0
assert 'Uploaded 1 new file(s)' in ds.git.log()[0]['message']
def test_add_file(self, mock_create_dataset):
"""Test adding a new file to a dataset"""
class DummyContext(object):
def __init__(self, file_handle):
self.dataset_loader = None
self.labbook_loader = None
self.files = {'uploadChunk': file_handle}
def dispatcher_mock(self, function_ref, kwargs, metadata):
assert kwargs['logged_in_username'] == 'default'
assert kwargs['logged_in_email'] == '*****@*****.**'
assert kwargs['dataset_owner'] == 'default'
assert kwargs['dataset_name'] == 'dataset1'
# Inject mocked config file
kwargs['config_file'] = mock_create_dataset[0]
# Stop patching so job gets scheduled for real
dispatcher_patch.stop()
# Call same method as in mutation
d = Dispatcher()
kwargs['dispatcher'] = Dispatcher
res = d.dispatch_task(gtmcore.dispatcher.dataset_jobs.
complete_dataset_upload_transaction,
kwargs=kwargs,
metadata=metadata)
return res
client = Client(mock_create_dataset[3],
middleware=[DataloaderMiddleware()])
# Create file to upload
test_file = os.path.join(tempfile.gettempdir(), "myValidFile.dat")
est_size = 9000000
try:
os.remove(test_file)
except:
pass
with open(test_file, 'wb') as tf:
tf.write(os.urandom(est_size))
new_file_size = os.path.getsize(tf.name)
# Get upload params
chunk_size = 4194000
file_info = os.stat(test_file)
file_size = int(file_info.st_size / 1000)
total_chunks = int(math.ceil(file_info.st_size / chunk_size))
ds = InventoryManager(mock_create_dataset[0]).load_dataset(
'default', 'default', 'dataset1')
fsc = HostFilesystemCache(ds, 'default')
target_file = os.path.join(fsc.current_revision_dir, "myValidFile.dat")
txid = "000-unitest-transaction"
with open(test_file, 'rb') as tf:
# Check for file to exist (shouldn't yet)
assert os.path.exists(target_file) is False
for chunk_index in range(total_chunks):
# Upload a chunk
chunk = io.BytesIO()
chunk.write(tf.read(chunk_size))
chunk.seek(0)
file = FileStorage(chunk)
query = f"""
mutation addDatasetFile{{
addDatasetFile(input:{{owner:"default",
datasetName: "dataset1",
filePath: "myValidFile.dat",
transactionId: "{txid}",
chunkUploadParams:{{
uploadId: "fdsfdsfdsfdfs",
chunkSize: {chunk_size},
totalChunks: {total_chunks},
chunkIndex: {chunk_index},
fileSize: "{file_size}",
filename: "{os.path.basename(test_file)}"
}}
}}) {{
newDatasetFileEdge {{
node{{
id
key
isDir
size
}}
}}
}}
}}
"""
r = client.execute(query, context_value=DummyContext(file))
assert 'errors' not in r
# So, these will only be populated once the last chunk is uploaded. Will be None otherwise.
assert r['data']['addDatasetFile']['newDatasetFileEdge']['node'][
'isDir'] is False
assert r['data']['addDatasetFile']['newDatasetFileEdge']['node'][
'key'] == 'myValidFile.dat'
assert r['data']['addDatasetFile']['newDatasetFileEdge']['node'][
'size'] == f"{new_file_size}"
# When done uploading, file should exist in the labbook
assert os.path.exists(target_file)
assert os.path.isfile(target_file)
complete_query = f"""
mutation completeQuery {{
completeDatasetUploadTransaction(input: {{
owner: "default",
datasetName: "dataset1",
transactionId: "{txid}"
}}) {{
backgroundJobKey
}}
}}
"""
# Patch dispatch_task so you can inject the mocked config file
dispatcher_patch = patch.object(Dispatcher, 'dispatch_task',
dispatcher_mock)
dispatcher_patch.start()
r = client.execute(complete_query, context_value=DummyContext(None))
assert 'errors' not in r
job_query = f"""
{{
jobStatus(jobId: "{r['data']['completeDatasetUploadTransaction']['backgroundJobKey']}")
{{
status
result
status
jobMetadata
failureMessage
startedAt
finishedAt
}}
}}
"""
cnt = 0
while cnt < 20:
job_result = client.execute(job_query,
context_value=DummyContext(None))
assert 'errors' not in job_result
if job_result['data']['jobStatus']['status'] == 'finished':
break
time.sleep(.25)
assert cnt < 20
metadata = json.loads(job_result['data']['jobStatus']['jobMetadata'])
assert metadata['percent_complete'] == 100
assert metadata[
'feedback'] == 'Please wait while file contents are analyzed. 9 MB of 9 MB complete...'
# Verify file was added and repo is clean
m = Manifest(ds, 'default')
status = m.status()
assert len(status.created) == 0
assert len(status.modified) == 0
assert len(status.deleted) == 0
assert 'Uploaded 1 new file(s)' in ds.git.log()[0]['message']
