from libtbx.phil import parse
from libtbx.utils import Sorry
from xfel.ui.db.xfel_db import xfel_db_application
from xfel.ui.db.stats import HitrateStats
import sys
from xfel.ui.command_line.plot_run_stats import phil_scope
from scitbx.array_family import flex
def run(args):
user_phil = []
for arg in args:
try:
user_phil.append(parse(arg))
except Exception, e:
raise Sorry("Unrecognized argument %s"%arg)
params = phil_scope.fetch(sources=user_phil).extract()
print "Printing results for trial", params.trial, "using a hit cutoff of", params.n_strong_cutoff, "reflections"
print
print " Run N Hits (%) N Indexed (%) N Lattices N High qual (%) %HQR N Frames"
hit_total = 0
indexed_total = 0
lattices_total = 0
high_quality_total = 0
overall_total = 0
app = xfel_db_application(params)
if params.run is None or len(params.run) == 0:
trial = app.get_trial(trial_number=params.trial)
runs = []
def run(args):
user_phil = []
for arg in args:
try:
user_phil.append(parse(arg))
except Exception as e:
raise Sorry("Unrecognized argument %s"%arg)
params = phil_scope.fetch(sources=user_phil).extract()
print("Printing results for trial", params.trial, "using a hit cutoff of", params.n_strong_cutoff, "reflections")
print()
print(" Run N Drop Hits (%) N Hits (%) N Indexed (%) N Lattices N High qual (%) %HQR N Frames")
drop_hits_total = 0
hit_total = 0
indexed_total = 0
lattices_total = 0
high_quality_total = 0
overall_total = 0
ratio_cutoff = 1
app = xfel_db_application(params)
if params.run is None or len(params.run) == 0:
trial = app.get_trial(trial_number=params.trial)
runs = []
run_ids = []
rungroups = []
for rg in trial.rungroups:
for run in rg.runs:
if run.id in run_ids: continue
runs.append(run.run)
run_ids.append(run.id)
rungroups.append(rg.id)
else:
runs = params.run
assert params.rungroup is not None
rungroups = [params.rungroup] * len(runs)
for run_no, rungroup_id in zip(runs, rungroups):
try:
timestamps, two_theta_low, two_theta_high, n_strong, average_i_sigi, n_lattices = HitrateStats(app, run_no, params.trial, rungroup_id, params.d_min)()
except Exception as e:
print("Couldn't get run", run_no)
continue
n_hit = (n_strong >= params.n_strong_cutoff).count(True)
n_indexed = (n_lattices > 0).count(True)
n_lattices = flex.sum(n_lattices)
n_total = len(timestamps)
n_high_quality = ((average_i_sigi > 0) & (n_strong >= params.n_strong_cutoff)).count(True)
invalid = (two_theta_low <= 0) or (two_theta_high < 0) # <= to prevent /0
numerator = two_theta_high.set_selected(invalid, 0)
denominator = two_theta_low.set_selected(two_theta_low == 0, 1) # prevent /0
drop_ratios = numerator/denominator
drop_hits = drop_ratios >= ratio_cutoff
n_drop_hits = drop_hits.count(True)
try:
print("% 20s % 7d % 5.1f % 7d % 5.1f % 7d % 5.1f % 7d % 7d % 5.1f % 5.1f % 7d " % (run_no, n_drop_hits, 100*n_drop_hits/n_total, n_hit, 100*n_hit/n_total, n_indexed, 100*n_indexed/n_total, n_lattices, n_high_quality, 100*n_high_quality/n_total, 100*n_high_quality/n_indexed, n_total))
except ZeroDivisionError:
print("% 20s % 7d % 5.1f % 7d % 5.1f % 7d % 5.1f % 7d % 7d % 5.1f % 5.1f % 7d " % (run_no, n_drop_hits, 0, n_hit, 0, n_indexed, 0, n_lattices, n_high_quality, 0, 0, n_total))
drop_hits_total += n_drop_hits
hit_total += n_hit
indexed_total += n_indexed
lattices_total += n_lattices
high_quality_total += n_high_quality
overall_total += n_total
if len(runs) > 1:
print("-" * 80)
try:
print("Total % 7d % 5.1f % 7d % 5.1f % 7d % 5.1f % 7d % 7d % 5.1f % 5.1f % 7d " % (drop_hits_total, 100*drop_hits_total/overall_total, hit_total, 100*hit_total/overall_total, indexed_total, 100*indexed_total/overall_total, lattices_total, high_quality_total, 100*high_quality_total/overall_total, 100*high_quality_total/indexed_total, overall_total))
except ZeroDivisionError:
if overall_total == 0:
print("Total % 7d % 5.1f % 7d % 5.1f % 7d % 5.1f % 7d % 7d % 5.1f % 5.1f % 7d " % (drop_hits_total, 0, hit_total, 0, indexed_total, 0, lattices_total, 0, 0, 0, overall_total))
else:
print("Total % 7d % 5.1f % 7d % 5.1f % 7d % 5.1f % 7d % 7d % 5.1f % 5.1f % 7d " % (drop_hits_total, 100*drop_hits_total/overall_total, hit_total, 100*hit_total/overall_total, indexed_total, 100*indexed_total/overall_total, lattices_total, high_quality_total, 100*high_quality_total/overall_total, 0, overall_total))
from libtbx.phil import parse
from libtbx.utils import Sorry
from xfel.ui.db.xfel_db import xfel_db_application
from xfel.ui.db.stats import HitrateStats
import sys
from xfel.ui.command_line.plot_run_stats import phil_scope
def run(args):
user_phil = []
for arg in args:
try:
user_phil.append(parse(arg))
except Exception, e:
raise Sorry("Unrecognized argument %s"%arg)
params = phil_scope.fetch(sources=user_phil).extract()
print "Printing results for trial", params.trial, "using a hit cutoff of", params.hit_cutoff, "reflections"
print
print " Run N Hits (%) N Indexed (%) N High qual (%) %HQR N Frames"
hit_total = 0
indexed_total = 0
high_quality_total = 0
overall_total = 0
app = xfel_db_application(params)
if params.run is None or len(params.run) == 0:
trial = app.get_trial(trial_number=params.trial)
runs = []
run_ids = []
