class FuncXExecutor(Executor):
def __init__(self, endpoint_id, process_function="301f653b-40b6-449e-ad2e-e57d3aaa33cd"):
self.fxc = FuncXClient(asynchronous=True)
self.endpoint_id = endpoint_id
self.process_function = process_function
def run_async_analysis(self, file_url, tree_name, accumulator, process_func):
if not self.process_function:
self.process_function = self.fxc.register_function(run_coffea_processor)
pickled_process_func = pickle.dumps(process_func)
data_result = self.safe_run(file_url, tree_name,
accumulator,
pickled_process_func,
function_id=self.process_function)
# Pass this down to the next item in the stream.
return data_result
@retry(wait=wait_fixed(5), retry=retry_if_exception_type(MaxRequestsExceeded))
def safe_run(self, file_url, tree_name, accumulator, proc, function_id):
return self.fxc.run(file_url,
tree_name,
accumulator,
proc,
True,
endpoint_id=self.endpoint_id,
function_id=function_id)
def register_function(self, container_type='docker', location=None, ep_id=None, group=None):
from funcx import FuncXClient
assert self.extr_func is not None, "Extractor function must first be registered!"
if location is None:
location = self.store_url
fxc = FuncXClient()
container_id = fxc.register_container(
location=location,
container_type=container_type,
name='kube-tabular',
description='I don\'t think so!',
)
self.func_id = fxc.register_function(self.extr_func,
ep_id,
group=group,
container_uuid=container_id,
description="A sum function")
print(f"The function has been updated! "
f"Please copy/paste the following code into {self.func_id} function class:\n")
print(self.func_id)
return self.func_id
def _register_function():
"""Register the inference function with FuncX"""
client = FuncXClient()
# Get the Group UUID
config = json.loads(_config_path.read_text())
function_id = client.register_function(_funcx_func,
group=config['group_uuid'])
_set_config(function_id=function_id)
# xpcs_x = HDFExtractor()
# xpcs_x = ImagesExtractor()
# xpcs_x = KeywordExtractor()
# xpcs_x = PythonExtractor()
# xpcs_x = TabularExtractor()
xpcs_x = CCodeExtractor()
# xpcs_x = TikaExtractor()
ep_id = "2293034e-4c9f-459c-a6f0-0ed310a8e618"
extractor_name = "matio"
repo_name = "mdf"
container_uuid = fxc.register_container(f'/home/tskluzac/.xtract/.containers/xtract-{extractor_name}.img', 'singularity')
print("Container UUID: {}".format(container_uuid))
fn_uuid = fxc.register_function(base_extractor,
container_uuid=container_uuid,
description="Tabular test function.")
print("FN_UUID : ", fn_uuid)
task_batch_size = 1 # 128
fx_batch_size = 64 # 32
hdf_count = 0
task_batches = Queue()
missing_file = "/Users/tylerskluzacek/missing_files.json"
missing_file_0 = "/Users/tylerskluzacek/missing_mdf2.json"
# missing_file = None
# missing_file = None
min_num = 300000 # 540000
max_count = 400000 # 560000
auth_token = tokens["petrel_https_server"]['access_token']
transfer_token = tokens['transfer.api.globus.org']['access_token']
funcx_token = tokens['funcx_service']['access_token']
headers = {'Authorization': f"Bearer {funcx_token}", 'Transfer': transfer_token, 'FuncX': funcx_token, 'Petrel': auth_token}
print(f"Headers: {headers}")
def hello_world(event):
return "Hello World!"
fxc = FuncXClient()
func_uuid = fxc.register_function(hello_world)
print(func_uuid)
event = None
endpoint = '68bade94-bf58-4a7a-bfeb-9c6a61fa5443'
items_to_batch = [{"func_id": func_uuid, "event": {}}, {"func_id": func_uuid, "event": {}}]
x = remote_extract_batch(items_to_batch, endpoint, headers=headers)
fx_ser = FuncXSerializer()
import time
while True:
a = remote_poll_batch(x, headers)
print(f"The returned: {a}")
def hello_container(event):
import os
return f"Container version: {os.environ['container_version']}"
for container in all_containers:
print(f"Using funcX version: {funcx.__version__}")
fxc = FuncXClient()
base_path = '/home/tskluzac/ext_repos/'
container_path = os.path.join(base_path, container)
print(f"Container path: {container_path}")
container_uuid = fxc.register_container(container_path, 'singularity')
fn_uuid = fxc.register_function(
hdf_extract,
container_uuid=container_uuid,
description="New sum function defined without string spec")
print(f"FN UUID: {fn_uuid}")
res = fxc.run(sample_hdf_1, endpoint_id=js_ep_id, function_id=fn_uuid)
print(res)
for i in range(100):
# TODO: break when successful
try:
x = fxc.get_result(res)
print(x)
break
except Exception as e:
print("Exception: {}".format(e))
time.sleep(2)
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from funcx import FuncXClient
from sx_multi import run_coffea_processor
fxc = FuncXClient()
container_id = fxc.register_container(
"bengal1/funcx_coffea:add_schema_to_notebooks", "docker",
"Coffea Processor")
function_id = fxc.register_function(
run_coffea_processor,
"Run your coffea process code in a setup environment",
container_uuid=container_id)
print("Function_ID is ", function_id)
def sleep_func(file_ls):
import time
#
# # for item in file_ls:
# # with open(item, 'r') as f:
# # f.close()
#
# time.sleep(sleep_s)
return "hello, world!"
# func_id = fxc.register_function(function=sleep_func, function_name='hpdc_sleep_extractor')
container_uuid = fxc.register_container('/home/tskluzac/xtract-matio.img', 'singularity')
print("Container UUID: {}".format(container_uuid))
func_id = fxc.register_function(matio_extract,
#ep_id, # TODO: We do not need ep id here
container_uuid=container_uuid,
description="New sum function defined without")
for fx_id in id_list:
for i in range(1,10):
task_id = fxc.run({'event'}, endpoint_id=fx_id, function_id=func_id)
while True:
result = fxc.get_batch_result([task_id])
print(result)
for tid in result:
if result[tid]['status'] == 'failed':
exc = result[tid]['exception']
