Beispiel #1
0
def check(server_env=None):
    """
    Check for completed jobs
    """
    # todo: add a "continuous" mode so that this can run as a background job
    #       this will require locking the incomplete jobs file - see https://filelock.readthedocs.io/
    config = load_config()
    client = nmpi.Client(username=config["username"],
                         job_service=_url_from_env(server_env))

    incomplete_jobs = read_incomplete_jobs()
    completed_jobs = []
    for job_config in incomplete_jobs:
        job = client.get_job(job_config["job_id"])
        if job["status"] == "finished":
            client.download_data(job, local_dir=job_config["output_dir"])
            completed_jobs.append(job_config)
            click.echo("Job #{} complete".format(job["id"]))
        elif job["status"] == "error":
            completed_jobs.append(job_config)
            click.echo("Job #{} errored".format(job["id"]))
        with open(
                os.path.join(job_config["output_dir"],
                             "job_{}.log".format(job["id"])), 'w') as fp:
            fp.write(job["log"])

    for job_config in completed_jobs:
        incomplete_jobs.remove(job_config)
    write_incomplete_jobs(incomplete_jobs)
Beispiel #2
0
def run(script, platform, batch, output_dir, tag, server_env):
    """
    Run a simulation/emulation
    """
    config = load_config()
    client = nmpi.Client(username=config["username"],
                         job_service=_url_from_env(server_env))

    if os.path.exists(os.path.expanduser(script)):
        if os.path.isdir(script):
            source = script
            command = "run.py {system}"
        else:
            source = os.path.dirname(script)
            if len(source) == 0:
                source = "."
            command = "{} {{system}}".format(os.path.basename(script))
    else:
        raise click.ClickException("Script '{}' does not exist".format(script))

    job = client.submit_job(source,
                            platform=platform or config["default_platform"],
                            collab_id=config["collab_id"],
                            config=config.get("hardware_config", None),
                            inputs=None,
                            command=command,
                            tags=tag,
                            wait=not batch)

    output_dir = output_dir or config.get("default_output_dir", ".")
    if batch:
        # save job_id for later checking
        write_incomplete_jobs(read_incomplete_jobs() +
                              [{
                                  "job_id": job,
                                  "output_dir": output_dir
                              }])
    else:
        if job["status"] == 'finished':
            client.download_data(job, local_dir=output_dir)
        else:
            assert job["status"] == 'error'
        click.echo(job["log"])
Beispiel #3
0
    from urllib import urlopen
except ImportError:
    from urllib.parse import urlparse
    from urllib.request import urlopen
    from urllib.error import HTTPError
import json
import tempfile
import shutil
from sh import git
import nmpi
import requests

BENCHMARKS_SERVER = "https://benchmarks.hbpneuromorphic.eu"
BENCHMARKS_COLLAB = "510"

job_manager = nmpi.Client("testuser123",
                          password=os.environ["BENCHMARK_RUNNER_PASSWORD"])

queue_name_map = {
    "SpiNNaker": "SpiNNaker",
    "BrainScaleS": "BrainScaleS",
    "Spikey": "Spikey",
    "NEST": "nest-server"
}

repositories = [
    #"https://github.com/CNRS-UNIC/hardware-benchmarks.git",
    #"https://github.com/apdavison/pynam.git",
    "https://github.com/hbp-unibi/SNABSuite_deploy",
]

#!/usr/bin/env python
"""
Pool-based monitoring of the live logs of the smallest job ID running
"""
import os
import nmpi
import time

USERNAME = '******'
COLLAB_ID = 14744

c = nmpi.Client(USERNAME)
latest_job = int(c.completed_jobs(COLLAB_ID)[0].split('/')[-1])
URI = c.resource_map['queue'] + '/{}'


def find_running_job(curr):
    try:
        status = c.job_status(URI.format(curr + 1))
        if status == 'submitted':
            return curr
        print('Skipping job #{} ({})...'.format(curr, status))
        return find_running_job(curr + 1)
    except Exception as ex:
        if 'no such job' in str(ex).lower():
            return curr
        else:
            raise ex


while True:
Beispiel #5
0
"""


"""

from time import sleep
from os.path import splitext, join
from urlparse import urlparse
from urllib import urlopen
import json
import nmpi
import requests

BENCHMARKS_SERVER = "https://benchmarks.hbpneuromorphic.eu"

job_manager = nmpi.Client("testuser123")

repositories = ("https://github.com/CNRS-UNIC/hardware-benchmarks.git", )


def main(platform):
    for repository in repositories:
        code_dir = update_repository(repository)
        models = get_models(code_dir)
        for model in models:
            for task in model["tasks"]:
                job = run_job(repository, task, platform)
                results = get_results(job)
                save_results(model, task, results, job)

Beispiel #6
0
import nmpi
import sys
print("introduce script")
inp = str(sys.argv[1])
client = nmpi.Client("rafaperez")
job = client.submit_job(
    source="https://github.com/rafapb97/Spin",
    platform=nmpi.SPINNAKER,
    #config = {"extra_pip_installs": ["snntoolbox"]},
    collab_id=89273,
    command=inp)
from __future__ import print_function, unicode_literals
import sys
import json
import nmpi

tokens = {}
for username in sys.argv[1:]:
    print(username, end=" ")
    c = nmpi.Client(username)
    assert c.user_info["username"] == username
    tokens[c.user_info["id"]] = "Bearer " + c.token
print(json.dumps(tokens))