def create_test_pipeline(client, test_name):
repo_name_suffix = random_string(6)
input_repo_name = create_test_repo(client,
test_name,
prefix="input",
suffix=repo_name_suffix)
pipeline_repo_name = test_repo_name(test_name,
prefix="pipeline",
suffix=repo_name_suffix)
client.create_pipeline(
pipeline_repo_name,
transform=python_pachyderm.Transform(
cmd=["sh"],
image="alpine",
stdin=["cp /pfs/{}/*.dat /pfs/out/".format(input_repo_name)],
),
input=python_pachyderm.Input(
pfs=python_pachyderm.PFSInput(glob="/*", repo=input_repo_name)),
enable_stats=True,
)
with client.commit(input_repo_name, "master") as commit:
client.put_file_bytes(commit, "file.dat", b"DATA")
return (commit, input_repo_name, pipeline_repo_name)
def test_create_pipeline_from_request():
client = python_pachyderm.Client()
repo_name = util.create_test_repo(client,
"test_create_pipeline_from_request")
pipeline_name = util.test_repo_name("test_create_pipeline_from_request")
# more or less a copy of the opencv demo's edges pipeline spec
client.create_pipeline_from_request(
python_pachyderm.CreatePipelineRequest(
pipeline=python_pachyderm.Pipeline(name=pipeline_name),
description=
"A pipeline that performs image edge detection by using the OpenCV library.",
input=python_pachyderm.Input(pfs=python_pachyderm.PFSInput(
glob="/*",
repo=repo_name,
), ),
transform=python_pachyderm.Transform(
cmd=["echo", "hi"],
image="pachyderm/opencv",
),
))
assert any(p.pipeline.name == pipeline_name
for p in client.list_pipeline().pipeline_info)
def __init__(self, test_name):
pfs_client = python_pachyderm.PfsClient()
pps_client = python_pachyderm.PpsClient()
repo_name_suffix = random_string(6)
input_repo_name = "{}-input-{}".format(test_name, repo_name_suffix)
pipeline_repo_name = "{}-pipeline-{}".format(test_name,
repo_name_suffix)
pfs_client.create_repo(input_repo_name,
"input repo for {}".format(test_name))
pps_client.create_pipeline(
pipeline_repo_name,
transform=python_pachyderm.Transform(
cmd=["sh"],
image="alpine",
stdin=["cp /pfs/{}/*.dat /pfs/out/".format(input_repo_name)]),
input=python_pachyderm.Input(pfs=python_pachyderm.PFSInput(
glob="/*", repo=input_repo_name)),
enable_stats=True,
)
with pfs_client.commit(input_repo_name, 'master') as commit:
pfs_client.put_file_bytes(commit, 'file.dat', b'DATA')
self.pps_client = pps_client
self.pfs_client = pfs_client
self.commit = commit
self.input_repo_name = input_repo_name
self.pipeline_repo_name = pipeline_repo_name
def main():
# Connects to a pachyderm cluster on the default host:port
# (`localhost:30650`). This will work for certain environments (e.g. k8s
# running on docker for mac), as well as when port forwarding is being
# used. For other setups, you'll want one of the alternatives:
# 1) To connect to pachyderm when this script is running inside the
# cluster, use `python_pachyderm.Client.new_in_cluster()`.
# 2) To connect to pachyderm via a pachd address, use
# `python_pachyderm.Client.new_from_pachd_address`.
# 3) To explicitly set the host and port, pass parameters into
# `python_pachyderm.Client()`.
client = python_pachyderm.Client()
# Create a repo called images
client.create_repo("images")
# Create a pipeline specifically designed for executing python code. This
# is equivalent to the edges pipeline in the standard opencv example.
python_pachyderm.create_python_pipeline(
client,
relpath("edges"),
input=python_pachyderm.Input(
pfs=python_pachyderm.PFSInput(glob="/*", repo="images")),
)
# Create the montage pipeline
client.create_pipeline(
"montage",
transform=python_pachyderm.Transform(
cmd=["sh"],
image="v4tech/imagemagick",
stdin=[
"montage -shadow -background SkyBlue -geometry 300x300+2+2 $(find /pfs -type f | sort) /pfs/out/montage.png"
],
),
input=python_pachyderm.Input(cross=[
python_pachyderm.Input(
pfs=python_pachyderm.PFSInput(glob="/", repo="images")),
python_pachyderm.Input(
pfs=python_pachyderm.PFSInput(glob="/", repo="edges")),
]),
)
with client.commit("images", "master") as commit:
# Add some images, recursively inserting content from the images
# directory. Alternatively, you could use `client.put_file_url` or
# `client_put_file_bytes`.
python_pachyderm.put_files(client, relpath("images"), commit, "/")
# Wait for the commit (and its downstream commits) to finish
for _ in client.flush_commit([commit]):
pass
# Get the montage
source_file = client.get_file("montage/master", "/montage.png")
with tempfile.NamedTemporaryFile(suffix="montage.png",
delete=False) as dest_file:
shutil.copyfileobj(source_file, dest_file)
print("montage written to {}".format(dest_file.name))
def check_pipeline_spec(req):
assert req == python_pachyderm.CreatePipelineRequest(
pipeline=python_pachyderm.Pipeline(name="foobar"),
description=
"A pipeline that performs image edge detection by using the OpenCV library.",
input=python_pachyderm.Input(pfs=python_pachyderm.PFSInput(
glob="/*", repo="images"), ),
transform=python_pachyderm.Transform(
cmd=["python3", "/edges.py"],
image="pachyderm/opencv",
),
)
def main():
client = python_pachyderm.Client()
client.create_pipeline(
pipeline_name="producer",
transform=python_pachyderm.Transform(
cmd=["python3", "/app/main.py"],
image="ysimonson/pachyderm_spout_producer",
),
spout=python_pachyderm.Spout(
overwrite=False,
marker="marker",
),
)
python_pachyderm.create_python_pipeline(
client,
relpath("consumer"),
input=python_pachyderm.Input(
pfs=python_pachyderm.PFSInput(glob="/", repo="producer")),
)
