def aggregate_unfinished_runs(self, username=None):
unfinished_runs = self.get_unfinished_runs(username)
runs = {"pending": [], "active": []}
for run in unfinished_runs:
state = (
"active" if any(task["active"] for task in run["tasks"]) else "pending"
)
if state == "pending":
run["cores"] = 0
runs[state].append(run)
runs["pending"].sort(
key=lambda run: (
run["args"]["priority"],
run["args"]["itp"] if "itp" in run["args"] else 100,
)
)
runs["active"].sort(
reverse=True,
key=lambda run: (
"sprt" in run["args"],
run["args"].get("sprt", {}).get("llr", 0),
"spsa" not in run["args"],
run["results"]["wins"]
+ run["results"]["draws"]
+ run["results"]["losses"],
),
)
# Calculate but don't save results_info on runs using info on current machines
cores = 0
nps = 0
for m in self.get_machines():
concurrency = int(m["concurrency"])
cores += concurrency
nps += concurrency * m["nps"]
pending_hours = 0
for run in runs["pending"] + runs["active"]:
if cores > 0:
eta = remaining_hours(run) / cores
pending_hours += eta
results = self.get_results(run, False)
run["results_info"] = format_results(results, run)
if "Pending..." in run["results_info"]["info"]:
if cores > 0:
run["results_info"]["info"][0] += " (%.1f hrs)" % (eta)
if "sprt" in run["args"]:
sprt = run["args"]["sprt"]
elo_model = sprt.get("elo_model", "BayesElo")
if elo_model == "BayesElo":
run["results_info"]["info"].append(
("[%.2f,%.2f]") % (sprt["elo0"], sprt["elo1"])
)
else:
run["results_info"]["info"].append(
("{%.2f,%.2f}") % (sprt["elo0"], sprt["elo1"])
)
return (runs, pending_hours, cores, nps)
def aggregate_unfinished_runs(self, username=None):
unfinished_runs = self.get_unfinished_runs(username)
runs = {'pending': [], 'active': []}
for run in unfinished_runs:
state = 'active' if any(task['active'] for task in run['tasks']) else 'pending'
runs[state].append(run)
runs['pending'].sort(key=lambda run: (run['args']['priority'],
run['args']['itp']
if 'itp' in run['args'] else 100))
runs['active'].sort(reverse=True, key=lambda run: (
'sprt' in run['args'],
run['args'].get('sprt',{}).get('llr',0),
'spsa' not in run['args'],
run['results']['wins'] + run['results']['draws']
+ run['results']['losses']))
# Calculate but don't save results_info on runs using info on current machines
cores = 0
nps = 0
for m in self.get_machines():
concurrency = int(m['concurrency'])
cores += concurrency
nps += concurrency * m['nps']
pending_hours = 0
for run in runs['pending'] + runs['active']:
if cores > 0:
eta = remaining_hours(run) / cores
pending_hours += eta
results = self.get_results(run, False)
run['results_info'] = format_results(results, run)
if 'Pending...' in run['results_info']['info']:
if cores > 0:
run['results_info']['info'][0] += ' (%.1f hrs)' % (eta)
if 'sprt' in run['args']:
sprt = run['args']['sprt']
elo_model = sprt.get('elo_model', 'BayesElo')
if elo_model == 'BayesElo':
run['results_info']['info'].append(('[%.2f,%.2f]')
% (sprt['elo0'], sprt['elo1']))
else:
run['results_info']['info'].append(('{%.2f,%.2f}')
% (sprt['elo0'], sprt['elo1']))
return (runs, pending_hours, cores, nps)
