def replace_list_flow():
job1 = Job(add, function_args=(1, ))
job2 = Job(add, function_args=(job1.output, ))
job3 = Job(add, function_args=(5, ))
job4 = Job(add, function_args=(job3.output, ))
flow1 = Flow([job1, job2], output={"1": job1.output, "2": job2.output})
flow2 = Flow([job3, job4], output={"3": job3.output, "4": job4.output})
return Response(replace=[flow1, flow2])
def test_dag_validation():
from jobflow import Flow, Job
# test cycle detection of jobs
job1 = Job(add, function_args=(1, 2))
job2 = Job(add, function_args=(job1.output, 2))
job1.function_args = (job2.output, 2)
flow = Flow(jobs=[job1, job2])
with pytest.raises(ValueError):
next(flow.iterflow())
def test_set_output():
from jobflow.core.flow import Flow
add_job1 = get_test_job()
add_job2 = get_test_job()
add_job3 = get_test_job()
flow = Flow([add_job1, add_job2], output=add_job2.output)
flow.output = add_job1.output
assert flow.output.uuid == add_job1.uuid
with pytest.raises(ValueError):
flow.output = [add_job3.output]
def test_hosts():
from jobflow.core.flow import Flow
# test single job
add_job1 = get_test_job()
add_job2 = get_test_job()
flow1 = Flow(add_job1)
flow2 = Flow([flow1, add_job2])
flow3 = Flow(flow2)
assert add_job1.hosts == [flow1.uuid, flow2.uuid, flow3.uuid]
assert add_job2.hosts == [flow2.uuid, flow3.uuid]
assert flow1.hosts == [flow2.uuid, flow3.uuid]
assert flow2.hosts == [flow3.uuid]
assert flow3.hosts == []
def test_serialization():
import json
from monty.json import MontyDecoder, MontyEncoder
from jobflow import Flow
flow = Flow([])
flow_host = Flow([flow])
host_uuid = flow_host.uuid
encoded_flow = json.loads(MontyEncoder().encode(flow_host))
decoded_flow = MontyDecoder().process_decoded(encoded_flow)
assert decoded_flow.jobs[0].host == host_uuid
def test_pass_manager_config():
from jobflow import Flow, Job
from jobflow.core.job import pass_manager_config
manager_config = {"abc": 1}
# test single job
test_job1 = Job(add, function_args=(1, ))
pass_manager_config(test_job1, manager_config)
assert test_job1.config.manager_config == manager_config
# test list job
test_job1 = Job(add, function_args=(1, ))
test_job2 = Job(add, function_args=(1, ))
pass_manager_config([test_job1, test_job2], manager_config)
assert test_job1.config.manager_config == manager_config
assert test_job2.config.manager_config == manager_config
# test flow
test_job1 = Job(add, function_args=(1, ))
test_job2 = Job(add, function_args=(1, ))
flow = Flow([test_job1, test_job2])
pass_manager_config(flow, manager_config)
assert test_job1.config.manager_config == manager_config
assert test_job2.config.manager_config == manager_config
# test bad input
with pytest.raises(ValueError):
pass_manager_config(["str"], manager_config)
def get_maker_flow(return_makers=False):
from dataclasses import dataclass
from jobflow import Flow, Maker, job
@dataclass
class AddMaker(Maker):
name: str = "add"
b: int = 2
@job
def make(self, a):
return a + self.b
@dataclass
class DivMaker(Maker):
name: str = "div"
b: int = 5
@job
def make(self, a):
return a / self.b
add_maker = AddMaker(b=3)
div_maker = DivMaker(b=4)
add_job = add_maker.make(2)
div_job = div_maker.make(add_job.output)
flow = Flow([add_job, div_job])
if return_makers:
return flow, (AddMaker, DivMaker)
else:
return flow
def get_name_flow():
first_name = generate_first_name()
second_name = generate_second_name()
full_name = connect_name(first_name.output, second_name.output)
return Flow([first_name, second_name, full_name],
full_name.output,
name="Get Name")
def get_test_flow():
from jobflow import Flow, Job
add_job = Job(add, function_args=(1, 2))
div_job = Job(div,
function_args=(add_job.output, ),
function_kwargs={"b": 3})
div_job.metadata = {"b": 3}
return Flow([add_job, div_job])
def test_append_name():
from jobflow import Flow
# test append
flow = get_test_flow()
flow.append_name(" test")
assert flow.name == "Flow test"
assert flow.jobs[0].name == "add test"
# test prepend
flow = get_test_flow()
flow.append_name("test ", prepend=True)
assert flow.name == "test Flow"
assert flow.jobs[0].name == "test add"
# test empty Flow
flow = Flow([], name="abc")
flow.append_name(" test")
assert flow.name == "abc test"
def start_timing_jobs(websites: List[str]):
from jobflow.core.job import Response
jobs = []
for website in websites:
time_job = time_website(website)
time_job.name = f"time {website}"
jobs.append(time_job)
output = [j.output for j in jobs]
return Response(replace=Flow(jobs, output))
def replace_func_flow(a, b):
first_job = simple_job(str(a + b))
second_job = simple_job(first_job.output)
flow = Flow(
[first_job, second_job],
{
"first": first_job.output,
"second": second_job.output
},
)
return Response(output=a + b, replace=flow)
def test_flow_job_mixed():
from jobflow.core.flow import Flow
# test job and flows
add_job = get_test_job()
add_job2 = get_test_job()
subflow = Flow([add_job2])
flow = Flow([add_job, subflow])
assert flow.host is None
assert flow.output is None
assert flow.job_uuids == (add_job.uuid, add_job2.uuid)
assert flow.jobs[0].host == flow.uuid
assert flow.jobs[1].host == flow.uuid
# test with list multi outputs
add_job = get_test_job()
add_job2 = get_test_job()
subflow = Flow([add_job2], output=add_job2.output)
flow = Flow([add_job, subflow], output=[add_job.output, subflow.output])
assert flow.output[0] == add_job.output
assert flow.output[1] == add_job2.output
# test all jobs/flows included needed to generate outputs
add_job = get_test_job()
add_job2 = get_test_job()
subflow = Flow([add_job2], output=add_job2.output)
with pytest.raises(ValueError):
Flow([add_job], output=[add_job.output, subflow.output])
def test_to_pydot():
from jobflow import Flow, Job
from jobflow.utils.graph import to_pydot
# test edges
add_job1 = Job(add, function_args=(1, 2))
add_job2 = Job(add, function_args=(1, add_job1.output))
flow = Flow([add_job1, add_job2])
pydot = to_pydot(flow)
assert pydot is not None
# test nested
add_job1 = Job(add, function_args=(1, 2))
add_job2 = Job(add, function_args=(1, 2))
add_job3 = Job(add, function_args=(1, 2))
add_job4 = Job(add, function_args=(1, 2))
flow1 = Flow([add_job1, add_job2])
flow2 = Flow([add_job3, add_job4])
main_flow = Flow([flow1, flow2])
pydot = to_pydot(main_flow)
assert pydot is not None
def test_contains_job_or_flow():
from jobflow import Flow, Job
from jobflow.utils import contains_flow_or_job
job = Job(str)
flow = Flow([])
assert contains_flow_or_job(True) is False
assert contains_flow_or_job(1) is False
assert contains_flow_or_job("abc") is False
assert contains_flow_or_job(job) is True
assert contains_flow_or_job(flow) is True
assert contains_flow_or_job([flow]) is True
assert contains_flow_or_job([[flow]]) is True
assert contains_flow_or_job({"a": flow}) is True
assert contains_flow_or_job({"a": [flow]}) is True
assert contains_flow_or_job(job) is True
assert contains_flow_or_job([job]) is True
assert contains_flow_or_job([[job]]) is True
assert contains_flow_or_job({"a": job}) is True
assert contains_flow_or_job({"a": [job]}) is True
jobs = []
for website in websites:
time_job = time_website(website)
time_job.name = f"time {website}"
jobs.append(time_job)
output = [j.output for j in jobs]
return Response(replace=Flow(jobs, output))
@job
def sum_times(times: List[float]):
return sum(times)
# create a flow that will:
# 1. load a list of websites from a file
# 2. generate one new job for each website to time the website loading
# 3. sum all the times together
read_websites_job = read_websites()
timings_job = start_timing_jobs(read_websites_job.output)
sum_job = sum_times(timings_job.output)
flow = Flow([read_websites_job, timings_job, sum_job])
# draw the flow graph
flow.draw_graph().show()
# run the flow, "responses" contains the output of all jobs
responses = run_locally(flow)
print(responses)
from dataclasses import dataclass
from jobflow import Flow, Maker, job, run_locally
@dataclass
class AddMaker(Maker):
name: str = "add"
c: int = 10
@job
def make(self, a, b, d=0.5):
return a + b + self.c + d
maker = AddMaker(c=10)
add_first = maker.make(1, 2)
add_second = maker.make(add_first.output, 5)
flow = Flow([add_first, add_second])
flow.update_maker_kwargs({"_inc": {"c": 50}}, dict_mod=True)
flow.update_kwargs({"d": 0.2})
# run the flow, "output" contains the output of all jobs
output = run_locally(flow)
print(output)
def connect_name(first_name, second_name):
return f"{first_name} {second_name}"
@job
def print_inputs(inputs):
print(inputs)
def get_name_flow():
first_name = generate_first_name()
second_name = generate_second_name()
full_name = connect_name(first_name.output, second_name.output)
return Flow([first_name, second_name, full_name],
full_name.output,
name="Get Name")
name_flow_a = get_name_flow()
name_flow_b = get_name_flow()
print_job = print_inputs([name_flow_a.output, name_flow_b.output])
# create a new flow to contain the nested flow
outer_flow = Flow([name_flow_a, name_flow_b, print_job])
# draw the flow graph
outer_flow.draw_graph().show()
# run the flow
run_locally(outer_flow)
def _gen():
flow1 = connected_flow()
flow2 = connected_flow()
flow2.jobs[0].function_args = (flow1.jobs[1].output, )
return Flow([flow1, flow2], flow2.output)
def _gen():
replace = replace_and_detour_job(5, 6)
simple = simple_job("12345")
return Flow([replace, simple], simple.output, order=JobOrder.LINEAR)
def _gen():
store = stored_data_job("12345")
return Flow([store])
def _gen():
error = error_job()
simple1 = simple_job(error.output)
simple2 = simple_job(simple1.output)
return Flow([error, simple1, simple2])
def _gen():
simple = simple_job("12345")
return Flow([simple], simple.output)
def make(self, a, b):
first = add(a, b)
second = add(first.output, b)
return Flow([first, second], second.output, name=self.name)
def make(self, a, b):
first = self.add1.make(a, b)
second = self.add2.make(first.output, b)
return Flow([first, second], second.output, name=self.name)
def _gen():
add = addition_job(5, 6)
return Flow([add], add.output)
@job
def encode_message(message):
"""Encode a message using base64."""
from base64 import b64encode
return b64encode(message.encode()).decode()
@job
def decode_message(message):
"""Decode a message from base64."""
from base64 import b64decode
return b64decode(message.encode()).decode()
# Create two jobs, the first to encode a message and the second to decode it.
encode = encode_message("Lo, a shadow of horror is risen")
decode = decode_message(encode.output)
# Create a flow containing the jobs. The order of the jobs doesn't matter and will be
# determined by the connectivity of the jobs.
flow = Flow([encode, decode])
# draw the flow graph
flow.draw_graph().show()
# run the flow, "output" contains the output of all jobs
output = run_locally(flow)
print(output)
def _gen():
detour = detour_job(5, 6)
simple = simple_job("12345")
return Flow([detour, simple], simple.output, order=JobOrder.LINEAR)
def _gen():
simple1 = simple_job("12345")
simple2 = simple_job(simple1.output)
return Flow([simple1, simple2], simple2.output, "Connected Flow")
"""A demonstration of how to enforce linear ordering of jobs."""
from jobflow import Flow, JobOrder, job
@job
def add(a, b):
return a + b
# No edges between the jobs as they do not depend on each other
add_job_first = add(1, 2)
add_job_second = add(4, 6)
auto_flow = Flow([add_job_first, add_job_second], order=JobOrder.AUTO)
auto_flow.draw_graph().show()
# flow graph now shows an edge between the jobs due to the linear execution order
add_job_first = add(1, 2)
add_job_second = add(4, 6)
linear_flow = Flow([add_job_first, add_job_second], order=JobOrder.LINEAR)
linear_flow.draw_graph().show()
