def save_gains(self, ms, gains_dict):
p = self._gain_path(ms)
# with open(p, 'w') as wfile:
jdump(gains_dict, p)
if self.add_paths(p):
self.commit('Updated gains')
def dump(self):
obj = {'name': self.name, 'omit_dict': self.omit_dict}
if not self.path:
self.path = analysis_path(self.record_id, self.experiment_identifier, modifier='tag', mode='w')
# with open(self.path, 'w') as wfile:
# json.dump(obj, wfile, indent=4)
jdump(obj, self.path)
def _save_spectrometer_file(self, path):
obj = dict(spectrometer=dict(self.per_spec.spec_dict),
gains=dict(self.per_spec.gains),
deflections=dict(self.per_spec.defl_dict))
hexsha = self.dvc.get_meta_head()
obj['commit'] = str(hexsha)
jdump(obj, path)
def _save_monitor(self):
if self.per_spec.monitor:
p = self._make_path(modifier='monitor')
checks = []
for ci in self.per_spec.monitor.checks:
data = ''.join([struct.pack('>ff', x, y) for x, y in ci.data])
params = dict(name=ci.name,
parameter=ci.parameter, criterion=ci.criterion,
comparator=ci.comparator, tripped=ci.tripped,
data=data)
checks.append(params)
jdump(checks, p)
def update_flux(self, irradiation, level, pos, identifier, j, e, decay, analyses, add=True):
p = self.get_level_path(irradiation, level)
with open(p, 'r') as rfile:
jd = json.load(rfile)
njd = [ji if ji['position'] != pos else {'position': pos, 'j': j, 'j_err': e,
'decay_constants': decay,
'identifier': identifier,
'analyses': [{'uuid': ai.uuid,
'record_id': ai.record_id,
'status': ai.is_omitted()}
for ai in analyses]} for ji in jd]
# n = {'decay_constants': decay, 'positions': njd}
# with open(p, 'w') as wfile:
# json.dump(njd, wfile, indent=4)
jdump(njd, p)
if add:
self.add(p, commit=False)
def post_extraction_save(self, rblob, oblob, snapshots):
p = self._make_path(modifier='extraction')
if rblob:
rblob = base64.b64encode(rblob[0])
if oblob:
oblob = base64.b64encode(oblob[0])
obj = {'request': rblob,
'response': oblob}
for e in EXTRACTION_ATTRS:
v = getattr(self.per_spec.run_spec, e)
obj[e] = v
ps = []
for i, pp in enumerate(self.per_spec.positions):
pos, x, y, z = None, None, None, None
if isinstance(pp, tuple):
if len(pp) == 2:
x, y = pp
elif len(pp) == 3:
x, y, z = pp
else:
pos = pp
try:
ep = self.per_spec.extraction_positions[i]
x = ep[0]
y = ep[1]
if len(ep) == 3:
z = ep[2]
except IndexError:
self.debug('no extraction position for {}'.format(pp))
pd = {'x': x, 'y': y, 'z': z, 'position': pos, 'is_degas': self.per_spec.run_spec.identifier == 'dg'}
ps.append(pd)
obj['positions'] = ps
hexsha = self.dvc.get_meta_head()
obj['commit'] = str(hexsha)
jdump(obj, p)
def _save_peak_center(self, pc):
self.info('DVC saving peakcenter')
p = self._make_path(modifier='peakcenter')
obj = {}
if pc:
obj['reference_detector'] = pc.reference_detector
obj['reference_isotope'] = pc.reference_isotope
if pc.result:
xs, ys, _mx, _my = pc.result
obj.update({'low_dac': xs[0],
'center_dac': xs[1],
'high_dac': xs[2],
'low_signal': ys[0],
'center_signal': ys[1],
'high_signal': ys[2]})
data = pc.get_data()
if data:
fmt = '>ff'
obj['fmt'] = fmt
for det, pts in data:
obj[det] = base64.b64encode(''.join([struct.pack(fmt, *di) for di in pts]))
jdump(obj, p)
def add_level(self, irrad, level):
p = self.get_level_path(irrad, level)
jdump([], p)
self.add(p, commit=False)
def _save_analysis(self, timestamp, **kw):
isos = {}
dets = {}
signals = []
baselines = []
sniffs = []
blanks = {}
intercepts = {}
cbaselines = {}
icfactors = {}
if self.use_isotope_classifier:
clf = self.isotope_classifier
endianness = '>'
for iso in self.per_spec.isotope_group.isotopes.values():
sblob = base64.b64encode(iso.pack(endianness, as_hex=False))
snblob = base64.b64encode(iso.sniff.pack(endianness, as_hex=False))
signals.append({'isotope': iso.name, 'detector': iso.detector, 'blob': sblob})
sniffs.append({'isotope': iso.name, 'detector': iso.detector, 'blob': snblob})
isod = {'detector': iso.detector}
if self.use_isotope_classifier:
klass, prob = clf.predict_isotope(iso)
isod.update(classification=klass,
classification_probability=prob)
isos[iso.name] = isod
if iso.detector not in dets:
bblob = base64.b64encode(iso.baseline.pack(endianness, as_hex=False))
baselines.append({'detector': iso.detector, 'blob': bblob})
dets[iso.detector] = {'deflection': self.per_spec.defl_dict.get(iso.detector),
'gain': self.per_spec.gains.get(iso.detector)}
icfactors[iso.detector] = {'value': float(nominal_value(iso.ic_factor)),
'error': float(std_dev(iso.ic_factor)),
'fit': 'default',
'references': []}
cbaselines[iso.detector] = {'fit': iso.baseline.fit,
'value': float(nominal_value(iso.baseline.uvalue)),
'error': float(std_dev(iso.baseline.uvalue))}
intercepts[iso.name] = {'fit': iso.fit,
'value': float(nominal_value(iso.uvalue)),
'error': float(std_dev(iso.uvalue))}
blanks[iso.name] = {'fit': 'previous',
'references': [{'runid': self.per_spec.previous_blank_runid,
'exclude': False}],
'value': float(nominal_value(iso.blank.uvalue)),
'error': float(std_dev(iso.blank.uvalue))}
obj = self._make_analysis_dict()
from pychron.experiment import __version__ as eversion
from pychron.dvc import __version__ as dversion
if not self.per_spec.timestamp:
obj['timestamp'] = timestamp.isoformat()
else:
obj['timestamp'] = self.per_spec.timestamp.isoformat()
obj['collection_version'] = '{}:{}'.format(eversion, dversion)
obj['detectors'] = dets
obj['isotopes'] = isos
obj.update(**kw)
# save the scripts
ms = self.per_spec.run_spec.mass_spectrometer
for si in ('measurement', 'extraction'):
name = getattr(self.per_spec, '{}_name'.format(si))
blob = getattr(self.per_spec, '{}_blob'.format(si))
self.dvc.meta_repo.update_script(ms, name, blob)
# save experiment
self.dvc.update_experiment_queue(ms, self.per_spec.experiment_queue_name,
self.per_spec.experiment_queue_blob)
hexsha = str(self.dvc.get_meta_head())
obj['commit'] = hexsha
# dump runid.json
p = self._make_path()
jdump(obj, p)
p = self._make_path(modifier='intercepts')
jdump(intercepts, p)
# dump runid.blank.json
p = self._make_path(modifier='blanks')
jdump(blanks, p)
p = self._make_path(modifier='baselines')
jdump(cbaselines, p)
p = self._make_path(modifier='icfactors')
jdump(icfactors, p)
# dump runid.data.json
p = self._make_path(modifier='.data')
data = {'commit': hexsha,
'encoding': 'base64',
'format': '{}ff'.format(endianness),
'signals': signals, 'baselines': baselines, 'sniffs': sniffs}
jdump(data, p)
def _add_interpreted_age(self, ia, d):
p = analysis_path('{}.ia'.format(ia.identifier), ia.experiment_identifier)
jdump(d, p)
def _dump(self, obj, path=None, modifier=None):
if path is None:
path = self._analysis_path(modifier)
jdump(obj, path)
