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"""
Provides functions for scheduling the runs of tests.
"""
import os
import sys
import multiprocessing as mp
import pandas as pd
import livvkit
from livvkit import elements
[docs]def pool_worker(run_type, run_suite, test, config):
sys.stdout = open(
os.path.join(livvkit.index_dir, 'logs', '{}-{}.stdout'.format(run_type, test)),
'a',
)
sys.stderr = open(
os.path.join(livvkit.index_dir, 'logs', '{}-{}.stderr'.format(run_type, test)),
'a',
)
summary = run_suite(test, config)
sys.stdout.flush()
sys.stderr.flush()
return summary
[docs]def run(run_type, module, config):
"""
Collects the analyses cases to be run and launches processes for each of
them.
Args:
run_type: A string representation of the run type (eg. verification)
module: The module corresponding to the run. Must have a run_suite function
config: The configuration for the module
"""
print(" -----------------------------------------------------------------")
print(" Beginning " + run_type.lower() + " test suite ")
print(" -----------------------------------------------------------------")
print("")
summary = run_quiet(run_type, module, config)
print(" -----------------------------------------------------------------")
print(" " + run_type.capitalize() + " test suite complete ")
print(" -----------------------------------------------------------------")
print("")
return summary
[docs]def run_quiet(run_type, module, config, group=True):
tests = [t for t in config if isinstance(config[t], dict)]
if livvkit.pool_size == 0:
test_summaries = {}
for test in tests:
test_summaries[test] = module.run_suite(test, config[test])
else:
test_summaries = launch_processes(run_type, tests, module, config)
for t in tests:
with open(os.path.join(livvkit.index_dir, 'logs', '{}-{}.stdout'.format(run_type, t))) as log:
stdout = log.read()
print(stdout)
if group:
meta = module.populate_metadata(tests[0], config[tests[0]])
df = pd.concat(
{k: pd.DataFrame.from_dict(v, orient='index') for k, v, in test_summaries.items()},
names=['case', 'scale']
).reset_index()
summary = elements.Table(meta['Title'], df.set_index('case'))
else:
summary = []
for ii, t in enumerate(tests):
meta = module.populate_metadata(t, config[t])
df = pd.DataFrame.from_dict(test_summaries[t], orient='index')
# Set the index so that navigation in HTML page links correctly
if "Case" in df.keys():
df = df.set_index("Case")
summary.append(elements.Table(meta['Title'], df))
return summary
[docs]def launch_processes(run_type, tests, run_module, config):
""" Helper method to launch processes and sync output """
test_summaries = {}
with mp.Pool(livvkit.pool_size) as pool:
results = [
pool.apply_async(pool_worker, (run_type, run_module.run_suite, t, config[t])) for t in tests
]
for t, r in zip(tests, results):
test_summaries[t] = r.get()
return test_summaries
