def _findCollision(self,
tName,
nameDict,
varDict,
hashKeys,
keyFmt,
nameFmt=identity):
dupesDict = {}
for (key, name) in nameDict.items():
dupesDict.setdefault(nameFmt(name), []).append(keyFmt(name, key))
ask = True
for name, key_list in sorted(dupesDict.items()):
if len(key_list) > 1:
self._log.warn('Multiple %s keys are mapped to the name %s!',
tName, repr(name))
for key in sorted(key_list):
self._log.warn('\t%s hash %s using:', tName,
str.join('#', key))
for var, value in self._getFilteredVarDict(
varDict, key, hashKeys).items():
self._log.warn('\t\t%s = %s', var, value)
if ask and not utils.getUserBool('Do you want to continue?',
False):
sys.exit(os.EX_OK)
ask = False
def write(self, stream, entries = None, printMinimal = False, printState = False,
printUnused = True, printSource = False, printDefault = True, printTight = False):
if not entries:
entries = self.iterContent()
config = {}
for entry in entries:
if printUnused or entry.accessed:
if printDefault or not entry.source.startswith('<default'):
if printState or not entry.option.startswith('#'):
config.setdefault(entry.section, {}).setdefault(entry.option, []).append(entry)
for section in sorted(config):
if not printTight:
stream.write('[%s]\n' % section)
for option in sorted(config[section]):
entryList = sorted(config[section][option], key = lambda e: e.order)
if printMinimal:
entryList = ConfigEntry.simplifyEntries(entryList)
for entry in entryList:
if printTight:
stream.write('[%s] ' % section)
for idx, line in enumerate(entry.format().splitlines()):
if printSource and (idx == 0) and entry.source:
if len(line) < 33:
stream.write('%-35s; %s\n' % (line, entry.source))
else:
stream.write('; source: %s\n%s\n' % (entry.source, line))
else:
stream.write(line + '\n')
if not printTight:
stream.write('\n')
def __init__(self, jobDB, task, jobs = None, configString = ''):
Report.__init__(self, jobDB, task, jobs, configString)
catJobs = {}
catDescDict = {}
# Assignment of jobs to categories (depending on variables and using datasetnick if available)
jobConfig = {}
varList = []
for jobNum in self._jobs:
if task:
jobConfig = task.getJobConfig(jobNum)
varList = sorted(ifilter(lambda var: '!' not in repr(var), jobConfig.keys()))
if 'DATASETSPLIT' in varList:
varList.remove('DATASETSPLIT')
varList.append('DATASETNICK')
catKey = str.join('|', imap(lambda var: '%s=%s' % (var, jobConfig[var]), varList))
catJobs.setdefault(catKey, []).append(jobNum)
if catKey not in catDescDict:
catDescDict[catKey] = dict(imap(lambda var: (var, jobConfig[var]), varList))
# Kill redundant keys from description
commonVars = dict(imap(lambda var: (var, jobConfig[var]), varList)) # seed with last varList
for catKey in catDescDict:
for key in list(commonVars.keys()):
if key not in catDescDict[catKey].keys():
commonVars.pop(key)
elif commonVars[key] != catDescDict[catKey][key]:
commonVars.pop(key)
for catKey in catDescDict:
for commonKey in commonVars:
catDescDict[catKey].pop(commonKey)
# Generate job-category map with efficient int keys - catNum becomes the new catKey
self._job2cat = {}
self._catDescDict = {}
for catNum, catKey in enumerate(sorted(catJobs)):
self._catDescDict[catNum] = catDescDict[catKey]
self._job2cat.update(dict.fromkeys(catJobs[catKey], catNum))
def _buildBlocks(self, protoBlocks, hashNameDictDS, hashNameDictB):
# Return named dataset
for hashDS in sorted(protoBlocks):
for hashB in sorted(protoBlocks[hashDS]):
blockSEList = None
for seList in ifilter(
lambda s: s is not None,
imap(lambda x: x[3], protoBlocks[hashDS][hashB])):
blockSEList = blockSEList or []
blockSEList.extend(seList)
if blockSEList is not None:
blockSEList = list(UniqueList(blockSEList))
metaKeys = protoBlocks[hashDS][hashB][0][1].keys()
def fnProps(path, metadata, events, seList, objStore):
if events is None:
events = -1
return {
DataProvider.URL: path,
DataProvider.NEntries: events,
DataProvider.Metadata: lmap(metadata.get, metaKeys)
}
yield {
DataProvider.Dataset:
hashNameDictDS[hashDS],
DataProvider.BlockName:
hashNameDictB[hashB][1],
DataProvider.Locations:
blockSEList,
DataProvider.Metadata:
list(metaKeys),
DataProvider.FileList:
lsmap(fnProps, protoBlocks[hashDS][hashB])
}
def __init__(self, config, job_db, task):
map_cat2jobs = {}
map_cat2desc = {}
job_config_dict = {}
vn_list = []
for jobnum in job_db.get_job_list():
if task:
job_config_dict = task.get_job_dict(jobnum)
vn_list = lfilter(self._is_not_ignored_vn, sorted(job_config_dict.keys()))
cat_key = str.join('|', imap(lambda vn: '%s=%s' % (vn, job_config_dict[vn]), vn_list))
map_cat2jobs.setdefault(cat_key, []).append(jobnum)
if cat_key not in map_cat2desc:
map_cat2desc[cat_key] = dict(imap(lambda var: (var, job_config_dict[var]), vn_list))
# Kill redundant keys from description - seed with last vn_list
common_var_dict = dict(imap(lambda var: (var, job_config_dict[var]), vn_list))
for cat_key in map_cat2desc:
for key in list(common_var_dict.keys()):
if key not in map_cat2desc[cat_key].keys():
common_var_dict.pop(key)
elif common_var_dict[key] != map_cat2desc[cat_key][key]:
common_var_dict.pop(key)
for cat_key in map_cat2desc:
for common_key in common_var_dict:
map_cat2desc[cat_key].pop(common_key)
# Generate job-category map with efficient int keys - catNum becomes the new cat_key
self._job2cat = {}
self._map_cat2desc = {}
for cat_num, cat_key in enumerate(sorted(map_cat2jobs)):
self._map_cat2desc[cat_num] = map_cat2desc[cat_key]
self._job2cat.update(dict.fromkeys(map_cat2jobs[cat_key], cat_num))
def get_plugin_list(pname, inherit_prefix=False):
alias_dict = {}
inherit_map = {}
cls = Plugin.get_class(pname)
for entry in cls.get_class_info_list():
depth = entry.pop('depth', 0)
(alias, name) = entry.popitem()
alias_dict.setdefault(name, []).append((depth, alias))
def _process_child_map(mapping, prefix=''):
for cls_name in mapping:
inherit_map[cls_name] = _process_child_map(mapping[cls_name], prefix + '-' + cls_name)
return prefix
_process_child_map(cls.get_class_children(), pname)
alias_dict.pop(pname, None)
table_list = []
for name in alias_dict:
# sorted by length of name and depth
by_len_depth = sorted(alias_dict[name], key=lambda d_a: (-len(d_a[1]), d_a[0]))
# sorted by depth and name
by_depth_name = sorted(alias_dict[name], key=lambda d_a: (d_a[0], d_a[1]))
new_name = by_len_depth.pop()[1]
depth = min(imap(lambda d_a: d_a[0], alias_dict[name]))
alias_list = lmap(lambda d_a: d_a[1], by_depth_name)
alias_list.remove(new_name)
if inherit_prefix:
new_name = ' | ' * (inherit_map[name].count('-') - 1) + new_name
entry = {'Name': new_name, 'Alias': str.join(', ', alias_list),
'Depth': '%02d' % depth, 'Inherit': inherit_map.get(name, '')}
table_list.append(entry)
return table_list
def _match_entries(self, container, option_list=None):
key_list = container.get_options()
if option_list is not None:
key_list = lfilter(key_list.__contains__, option_list)
def _get_entry_key_ordered(entry):
return (tuple(imap(_remove_none,
_get_section_key_filtered(entry))), entry.order)
def _get_section_key_filtered(entry):
return self._get_section_key(
entry.section.replace('!', '').strip())
def _remove_none(key):
if key is None:
return -1
return key
def _select_sections(entry):
return _get_section_key_filtered(entry) is not None
result = []
for key in key_list:
(entries, entries_reverse) = ([], [])
for entry in container.iter_config_entries(key, _select_sections):
if entry.section.endswith('!'):
entries_reverse.append(entry)
else:
entries.append(entry)
result.extend(
sorted(entries_reverse,
key=_get_entry_key_ordered,
reverse=True))
result.extend(sorted(entries, key=_get_entry_key_ordered))
return result
def jobs(self, *args, **kw):
result = '<body>'
result += str(CPProgressBar(0, min(100, self.counter), 100, 300))
if 'job' in kw:
jobNum = int(kw['job'])
info = self.task.getJobConfig(jobNum)
result += str(TabularHTML(zip(sorted(info), sorted(info)), [info], top = False))
def getJobObjs():
for jobNum in self.jobMgr.jobDB.getJobs():
result = self.jobMgr.jobDB.get(jobNum).__dict__
result['jobNum'] = jobNum
result.update(result['dict'])
yield result
fmtTime = lambda t: time.strftime('%Y-%m-%d %T', time.localtime(t))
result += str(TabularHTML([
('jobNum', 'Job'), ('state', 'Status'), ('attempt', 'Attempt'),
('wmsId', 'WMS ID'), ('dest', 'Destination'), ('submitted', 'Submitted')
], getJobObjs(),
fmt = {
'jobNum': lambda x: '<a href="jobs?job=%s">%s</a>' % (x, x),
'state': lambda s: Job.enum2str(s),
'submitted': fmtTime
}, top = True))
result += '</body>'
return result
def __init__(self, jobDB, task, jobs = None, configString = ''):
Report.__init__(self, jobDB, task, jobs, configString)
catJobs = {}
catDescDict = {}
# Assignment of jobs to categories (depending on variables and using datasetnick if available)
for jobNum in self._jobs:
jobConfig = task.getJobConfig(jobNum)
varList = sorted(filter(lambda var: '!' not in repr(var), jobConfig.keys()))
if 'DATASETSPLIT' in varList:
varList.remove('DATASETSPLIT')
varList.append('DATASETNICK')
catKey = str.join('|', map(lambda var: '%s=%s' % (var, jobConfig[var]), varList))
catJobs.setdefault(catKey, []).append(jobNum)
if catKey not in catDescDict:
catDescDict[catKey] = dict(map(lambda var: (var, jobConfig[var]), varList))
# Kill redundant keys from description
commonVars = dict(map(lambda var: (var, jobConfig[var]), varList)) # seed with last varList
for catKey in catDescDict:
for key in commonVars.keys():
if key not in catDescDict[catKey].keys():
commonVars.pop(key)
elif commonVars[key] != catDescDict[catKey][key]:
commonVars.pop(key)
for catKey in catDescDict:
for commonKey in commonVars:
catDescDict[catKey].pop(commonKey)
# Generate job-category map with efficient int keys - catNum becomes the new catKey
self._job2cat = {}
self._catDescDict = {}
for catNum, catKey in enumerate(sorted(catJobs)):
self._catDescDict[catNum] = catDescDict[catKey]
self._job2cat.update(dict.fromkeys(catJobs[catKey], catNum))
def _get_sandbox_file_list(self, task, sm_list):
# Prepare all input files
dep_list = set(ichain(imap(lambda x: x.get_dependency_list(), [task] + sm_list)))
dep_fn_list = lmap(lambda dep: resolve_path('env.%s.sh' % dep,
lmap(lambda pkg: get_path_share('', pkg=pkg), os.listdir(get_path_pkg()))), dep_list)
task_config_dict = dict_union(self._remote_event_handler.get_mon_env_dict(),
*imap(lambda x: x.get_task_dict(), [task] + sm_list))
task_config_dict.update({'GC_DEPFILES': str.join(' ', dep_list),
'GC_USERNAME': self._token.get_user_name(), 'GC_WMS_NAME': self._name})
task_config_str_list = DictFormat(escape_strings=True).format(
task_config_dict, format='export %s%s%s\n')
vn_alias_dict = dict(izip(self._remote_event_handler.get_mon_env_dict().keys(),
self._remote_event_handler.get_mon_env_dict().keys()))
vn_alias_dict.update(task.get_var_alias_map())
vn_alias_str_list = DictFormat(delimeter=' ').format(vn_alias_dict, format='%s%s%s\n')
# Resolve wildcards in task input files
def _get_task_fn_list():
for fpi in task.get_sb_in_fpi_list():
matched = glob.glob(fpi.path_abs)
if matched != []:
for match in matched:
yield match
else:
yield fpi.path_abs
return lchain([self._remote_event_handler.get_file_list(), dep_fn_list, _get_task_fn_list(), [
VirtualFile('_config.sh', sorted(task_config_str_list)),
VirtualFile('_varmap.dat', sorted(vn_alias_str_list))]])
def DiffLists(oldList, newList, keyFun, changedFkt, isSorted = False): (listAdded, listMissing, listChanged) = ([], [], []) if not isSorted: (newList, oldList) = (sorted(newList, key = keyFun), sorted(oldList, key = keyFun)) (newIter, oldIter) = (iter(newList), iter(oldList)) (new, old) = (next(newIter, None), next(oldIter, None)) while True: if (new is None) or (old is None): break keyNew = keyFun(new) keyOld = keyFun(old) if keyNew < keyOld: # new[npos] < old[opos] listAdded.append(new) new = next(newIter, None) elif keyNew > keyOld: # new[npos] > old[opos] listMissing.append(old) old = next(oldIter, None) else: # new[npos] == old[opos] according to *active* comparison changedFkt(listAdded, listMissing, listChanged, old, new) (new, old) = (next(newIter, None), next(oldIter, None)) while new is not None: listAdded.append(new) new = next(newIter, None) while old is not None: listMissing.append(old) old = next(oldIter, None) return (listAdded, listMissing, listChanged)
def _get_workflow_graph(workflow):
(graph, node_list) = _get_graph(workflow)
# Process nodes
node_str_list = []
map_node2name = {}
map_node2color = {}
for node in sorted(node_list, key=lambda x: x.__class__.__name__):
node_props = {
'label': '"%s"' % _get_node_label(node),
'fillcolor': '"%s"' % _get_node_color(node, map_node2color),
'style': '"filled"',
}
if node == workflow:
node_props['root'] = 'True'
node_prop_str = str.join('; ', imap(lambda key: '%s = %s' % (key, node_props[key]), node_props))
node_str_list.append('%s [%s];\n' % (_get_node_name(node, map_node2name), node_prop_str))
# Process edges
edge_str_list = []
for entry in sorted(graph, key=lambda x: x.__class__.__name__):
for child in sorted(set(graph[entry]), key=lambda x: x.__class__.__name__):
edge_str_list.append('%s -> %s;\n' % (_get_node_name(entry, map_node2name),
_get_node_name(child, map_node2name)))
cluster_str_list = []
dot_header = 'digraph mygraph {\nmargin=0;\nedge [len=2];\noverlap=compress;splines=True;\n'
dot_format_string_list = [dot_header] + node_str_list + cluster_str_list + edge_str_list + ['}\n']
return str.join('', dot_format_string_list)
def getCMSFiles(self, blockPath):
lumiDict = {}
if self.selectedLumis: # Central lumi query
lumiDict = self.getCMSLumisImpl(blockPath)
lumiDict = QM(lumiDict, lumiDict, {})
for (fileInfo, listLumi) in self.getCMSFilesImpl(blockPath, self.onlyValid, self.selectedLumis):
if self.selectedLumis:
if not listLumi:
listLumi = lumiDict.get(fileInfo[DataProvider.URL], [])
def acceptLumi():
for (run, lumiList) in listLumi:
for lumi in lumiList:
if selectLumi((run, lumi), self.selectedLumis):
return True
if not acceptLumi():
continue
if self.includeLumi:
(listLumiExt_Run, listLumiExt_Lumi) = ([], [])
for (run, lumi_list) in sorted(listLumi):
for lumi in lumi_list:
listLumiExt_Run.append(run)
listLumiExt_Lumi.append(lumi)
fileInfo[DataProvider.Metadata] = [listLumiExt_Run, listLumiExt_Lumi]
else:
fileInfo[DataProvider.Metadata] = [list(sorted(set(map(lambda (run, lumi_list): run, listLumi))))]
yield fileInfo
def DiffLists(oldList, newList, keyFun, changedFkt, isSorted=False):
(listAdded, listMissing, listChanged) = ([], [], [])
if not isSorted:
(newList, oldList) = (sorted(newList,
key=keyFun), sorted(oldList, key=keyFun))
(newIter, oldIter) = (iter(newList), iter(oldList))
(new, old) = (next(newIter, None), next(oldIter, None))
while True:
if (new is None) or (old is None):
break
keyNew = keyFun(new)
keyOld = keyFun(old)
if keyNew < keyOld: # new[npos] < old[opos]
listAdded.append(new)
new = next(newIter, None)
elif keyNew > keyOld: # new[npos] > old[opos]
listMissing.append(old)
old = next(oldIter, None)
else: # new[npos] == old[opos] according to *active* comparison
changedFkt(listAdded, listMissing, listChanged, old, new)
(new, old) = (next(newIter, None), next(oldIter, None))
while new is not None:
listAdded.append(new)
new = next(newIter, None)
while old is not None:
listMissing.append(old)
old = next(oldIter, None)
return (listAdded, listMissing, listChanged)
def _match_entries(self, container, option_list=None):
key_list = container.get_options()
if option_list is not None:
key_list = lfilter(key_list.__contains__, option_list)
def _get_entry_key_ordered(entry):
return (tuple(imap(_remove_none, _get_section_key_filtered(entry))), entry.order)
def _get_section_key_filtered(entry):
return self._get_section_key(entry.section.replace('!', '').strip())
def _remove_none(key):
if key is None:
return -1
return key
def _select_sections(entry):
return _get_section_key_filtered(entry) is not None
result = []
for key in key_list:
(entries, entries_reverse) = ([], [])
for entry in container.iter_config_entries(key, _select_sections):
if entry.section.endswith('!'):
entries_reverse.append(entry)
else:
entries.append(entry)
result.extend(sorted(entries_reverse, key=_get_entry_key_ordered, reverse=True))
result.extend(sorted(entries, key=_get_entry_key_ordered))
return result
def DiffLists(oldList, newList, cmpFkt, changedFkt, isSorted = False): (listAdded, listMissing, listChanged) = ([], [], []) if not isSorted: (newList, oldList) = (sorted(newList, cmpFkt), sorted(oldList, cmpFkt)) (newIter, oldIter) = (iter(newList), iter(oldList)) (new, old) = (next(newIter, None), next(oldIter, None)) while True: if (new == None) or (old == None): break result = cmpFkt(new, old) if result < 0: # new[npos] < old[opos] listAdded.append(new) new = next(newIter, None) elif result > 0: # new[npos] > old[opos] listMissing.append(old) old = next(oldIter, None) else: # new[npos] == old[opos] according to *active* comparison changedFkt(listAdded, listMissing, listChanged, old, new) (new, old) = (next(newIter, None), next(oldIter, None)) while new != None: listAdded.append(new) new = next(newIter, None) while old != None: listMissing.append(old) old = next(oldIter, None) return (listAdded, listMissing, listChanged)
def get_list_difference(list_old, list_new, key_fun, on_matching_fun, is_sorted=False, key_fun_sort=None): (list_added, list_missing, list_matching) = ([], [], []) if not is_sorted: list_new = sorted(list_new, key=key_fun_sort or key_fun) list_old = sorted(list_old, key=key_fun_sort or key_fun) (iter_new, iter_old) = (iter(list_new), iter(list_old)) (new, old) = (next(iter_new, None), next(iter_old, None)) while True: if (new is None) or (old is None): break key_new = key_fun(new) key_old = key_fun(old) if key_new < key_old: # new[npos] < old[opos] list_added.append(new) new = next(iter_new, None) elif key_new > key_old: # new[npos] > old[opos] list_missing.append(old) old = next(iter_old, None) else: # new[npos] == old[opos] according to *active* comparison on_matching_fun(list_added, list_missing, list_matching, old, new) (new, old) = (next(iter_new, None), next(iter_old, None)) while new is not None: list_added.append(new) new = next(iter_new, None) while old is not None: list_missing.append(old) old = next(iter_old, None) return (list_added, list_missing, list_matching)
def get_list_difference(list_old,
list_new,
key_fun,
on_matching_fun,
is_sorted=False,
key_fun_sort=None):
(list_added, list_missing, list_matching) = ([], [], [])
if not is_sorted:
list_new = sorted(list_new, key=key_fun_sort or key_fun)
list_old = sorted(list_old, key=key_fun_sort or key_fun)
(iter_new, iter_old) = (iter(list_new), iter(list_old))
(new, old) = (next(iter_new, None), next(iter_old, None))
while True:
if (new is None) or (old is None):
break
key_new = key_fun(new)
key_old = key_fun(old)
if key_new < key_old: # new[npos] < old[opos]
list_added.append(new)
new = next(iter_new, None)
elif key_new > key_old: # new[npos] > old[opos]
list_missing.append(old)
old = next(iter_old, None)
else: # new[npos] == old[opos] according to *active* comparison
on_matching_fun(list_added, list_missing, list_matching, old, new)
(new, old) = (next(iter_new, None), next(iter_old, None))
while new is not None:
list_added.append(new)
new = next(iter_new, None)
while old is not None:
list_missing.append(old)
old = next(iter_old, None)
return (list_added, list_missing, list_matching)
def _matchEntries(self, container, option_list=None):
key_list = container.getKeys()
if option_list is not None:
key_list = lfilter(lambda key: key in key_list, option_list)
result = []
getFilteredSectionKey = lambda entry: self._getSectionKey(
entry.section.replace('!', '').strip())
def removeNone(key):
if key is None:
return -1
return key
getOrderedEntryKey = lambda entry: (tuple(
imap(removeNone, getFilteredSectionKey(entry))), entry.order)
for key in key_list:
(entries, entries_reverse) = ([], [])
for entry in container.getEntries(
key, lambda x: getFilteredSectionKey(x) is not None):
if entry.section.endswith('!'):
entries_reverse.append(entry)
else:
entries.append(entry)
result.extend(
sorted(entries_reverse, key=getOrderedEntryKey, reverse=True))
result.extend(sorted(entries, key=getOrderedEntryKey))
return result
def _get_sandbox_file_list(self, task, sm_list):
# Prepare all input files
dep_list = set(ichain(imap(lambda x: x.get_dependency_list(), [task] + sm_list)))
dep_fn_list = lmap(lambda dep: resolve_path('env.%s.sh' % dep,
lmap(lambda pkg: get_path_share('', pkg=pkg), os.listdir(get_path_pkg()))), dep_list)
task_config_dict = dict_union(self._remote_event_handler.get_mon_env_dict(),
*imap(lambda x: x.get_task_dict(), [task] + sm_list))
task_config_dict.update({'GC_DEPFILES': str.join(' ', dep_list),
'GC_USERNAME': self._token.get_user_name(), 'GC_WMS_NAME': self._name})
task_config_str_list = DictFormat(escape_strings=True).format(
task_config_dict, format='export %s%s%s\n')
vn_alias_dict = dict(izip(self._remote_event_handler.get_mon_env_dict().keys(),
self._remote_event_handler.get_mon_env_dict().keys()))
vn_alias_dict.update(task.get_var_alias_map())
vn_alias_str_list = DictFormat(delimeter=' ').format(vn_alias_dict, format='%s%s%s\n')
# Resolve wildcards in task input files
def _get_task_fn_list():
for fpi in task.get_sb_in_fpi_list():
matched = glob.glob(fpi.path_abs)
if matched != []:
for match in matched:
yield match
else:
yield fpi.path_abs
return lchain([self._remote_event_handler.get_file_list(), dep_fn_list, _get_task_fn_list(), [
VirtualFile('_config.sh', sorted(task_config_str_list)),
VirtualFile('_varmap.dat', sorted(vn_alias_str_list))]])
def get_workflow_graph(workflow):
graph = getGraph(workflow)
classCluster = {}
for entry in graph:
classCluster.setdefault(getNodeParent(entry.__class__),
[]).append(entry)
clusters = ''
globalNodes = []
colors = {}
for (cluster_id, classClusterEntries) in enumerate(classCluster.values()):
if len(classClusterEntries) == 1:
globalNodes.append(classClusterEntries[0])
clusters += 'subgraph cluster_%d {' % cluster_id
for node in classClusterEntries:
clusters += '%s [label="%s", fillcolor="%s", style="filled"];\n' % (
getNodeName(node), getNodeLabel(node),
getNodeColor(node, colors))
clusters += '}\n'
edgeStr = ''
for entry in sorted(graph, key=lambda x: x.__class__.__name__):
for child in sorted(set(graph[entry]),
key=lambda x: x.__class__.__name__):
edgeStr += '%s -> %s;\n' % (getNodeName(entry), getNodeName(child))
header = 'digraph mygraph {\nmargin=0;\noverlap=scale;splines=True;\n'
footer = '}\n'
return header + clusters + edgeStr + footer
def jobs(self, *args, **kw):
result = '<body>'
result += str(CPProgressBar(0, min(100, self.counter), 100, 300))
if 'job' in kw:
jobNum = int(kw['job'])
info = self.task.getJobConfig(jobNum)
result += str(
TabularHTML(lzip(sorted(info), sorted(info)), [info],
top=False))
def getJobObjs():
for jobNum in self.jobMgr.jobDB.getJobs():
result = self.jobMgr.jobDB.get(jobNum).__dict__
result['jobNum'] = jobNum
result.update(result['dict'])
yield result
fmtTime = lambda t: time.strftime('%Y-%m-%d %T', time.localtime(t))
result += str(
TabularHTML(
[('jobNum', 'Job'), ('state', 'Status'),
('attempt', 'Attempt'), ('wmsId', 'WMS ID'),
('dest', 'Destination'), ('submitted', 'Submitted')],
getJobObjs(),
fmt={
'jobNum': lambda x: '<a href="jobs?job=%s">%s</a>' %
(x, x),
'state': Job.enum2str,
'submitted': fmtTime
},
top=True))
result += '</body>'
return result
def resolve_paths(path,
search_path_list=None,
must_exist=True,
exception_type=PathError):
path = clean_path(path) # replace $VAR, ~user, \ separators
result = []
if os.path.isabs(path):
result.extend(sorted(
glob.glob(path))) # Resolve wildcards for existing files
if not result:
if must_exist:
raise exception_type('Could not find file "%s"' % path)
return [path] # Return non-existing, absolute path
else: # search relative path in search directories
search_path_list = search_path_list or []
for spath in UniqueList(search_path_list):
result.extend(
sorted(glob.glob(clean_path(os.path.join(spath, path)))))
if not result:
if must_exist:
raise exception_type(
'Could not find file "%s" in \n\t%s' %
(path, str.join('\n\t', search_path_list)))
return [path] # Return non-existing, relative path
return result
def jobs(self, *args, **kw):
element_list = [CPProgressBar(0, min(100, self._counter), 100, 300)]
if 'job' in kw:
jobnum = int(kw['job'])
info = self._workflow.task.get_job_dict(jobnum)
element_list.append(
CPTable(lzip(sorted(info), sorted(info)), [info], pivot=False))
def _fmt_time(value):
return time.strftime('%Y-%m-%d %T', time.localtime(value))
def _iter_job_objs():
for jobnum in self._workflow.job_manager.job_db.get_job_list():
result = self._workflow.job_manager.job_db.get_job_transient(
jobnum).__dict__
result['jobnum'] = jobnum
result.update(result['dict'])
yield result
header_list = [('jobnum', 'Job'), ('state', 'Status'),
('attempt', 'Attempt'), ('gc_id', 'WMS ID'),
('SITE', 'Site'), ('QUEUE', 'Queue'),
('submitted', 'Submitted')]
fmt_dict = {
'jobnum': lambda x: '<a href="jobs?job=%s">%s</a>' % (x, x),
'state': Job.enum2str,
'submitted': _fmt_time
}
element_list.append(
CPTable(header_list,
_iter_job_objs(),
fmt_dict=fmt_dict,
pivot=True))
return _get_html_page(element_list)
def list_parameters(psrc, opts):
(psp_list, need_gc_param) = get_parameters(opts, psrc)
enabled_vn_list = opts.output.split(',')
meta_list = lfilter(lambda k: (k in enabled_vn_list) or not opts.output,
psrc.get_job_metadata())
tracked_vn_list = lmap(lambda k: k.value,
ifilter(lambda k: not k.untracked, meta_list))
untracked_vn_list = lmap(lambda k: k.value,
ifilter(lambda k: k.untracked, meta_list))
if opts.collapse > 0:
(header_list, psp_list) = collapse_psp_list(psp_list, tracked_vn_list,
opts)
else:
header_list = [('GC_JOB_ID', '#')]
if need_gc_param:
header_list.append(('GC_PARAM', 'GC_PARAM'))
if opts.active:
header_list.append((ParameterInfo.ACTIVE, 'ACTIVE'))
if opts.visible:
tracked_vn_list = opts.visible.split(',')
header_list.extend(sorted(izip(tracked_vn_list, tracked_vn_list)))
if opts.untracked:
header_list.extend(
sorted(
imap(
lambda n: (n, '(%s)' % n),
ifilter(lambda n: n not in ['GC_PARAM', 'GC_JOB_ID'],
untracked_vn_list))))
ConsoleTable.create(header_list, psp_list)
def display_metadata(dataset_list, block, metadata_key_list, metadata_list, base_header_list=None): header_list = [(DataProvider.BlockName, 'Block')] + (base_header_list or []) + \ lzip(sorted(metadata_key_list), sorted(metadata_key_list)) for metadata in metadata_list: metadata[DataProvider.Dataset] = block[DataProvider.Dataset] metadata[DataProvider.BlockName] = block.get(DataProvider.BlockName) title = get_title_update_header(dataset_list, header_list) ConsoleTable.create(header_list, metadata_list, title=title, pivot=True)
def list_parameters(opts, psource):
(result, needGCParam) = get_parameters(opts, psource)
enabledOutput = opts.output.split(',')
output = lfilter(lambda k: not opts.output or k in enabledOutput,
psource.getJobKeys())
stored = lfilter(lambda k: k.untracked == False, output)
untracked = lfilter(lambda k: k.untracked == True, output)
if opts.collapse > 0:
result_old = result
result = {}
result_nicks = {}
head = [('COLLATE_JOBS', '# of jobs')]
if 'DATASETSPLIT' in stored:
stored.remove('DATASETSPLIT')
if opts.collapse == 1:
stored.append('DATASETNICK')
head.append(('DATASETNICK', 'DATASETNICK'))
elif opts.collapse == 2:
head.append(('COLLATE_NICK', '# of nicks'))
for pset in result_old:
if ('DATASETSPLIT' in pset) and (opts.collapse == 1):
pset.pop('DATASETSPLIT')
nickname = None
if ('DATASETNICK' in pset) and (opts.collapse == 2):
nickname = pset.pop('DATASETNICK')
h = md5_hex(repr(lmap(lambda key: pset.get(str(key)), stored)))
result.setdefault(h, []).append(pset)
result_nicks.setdefault(h, set()).add(nickname)
def doCollate(h):
tmp = result[h][0]
tmp['COLLATE_JOBS'] = len(result[h])
tmp['COLLATE_NICK'] = len(result_nicks[h])
return tmp
result = lmap(doCollate, result)
else:
head = [('GC_JOB_ID', '#')]
if needGCParam:
head.append(('GC_PARAM', 'GC_PARAM'))
if opts.active:
head.append((ParameterInfo.ACTIVE, 'ACTIVE'))
if opts.visible:
stored = opts.visible.split(',')
head.extend(sorted(izip(stored, stored)))
if opts.untracked:
head.extend(
sorted(
imap(
lambda n: (n, '(%s)' % n),
ifilter(lambda n: n not in ['GC_PARAM', 'GC_JOB_ID'],
untracked))))
utils.vprint('')
utils.printTabular(head, result)
def display_metadata(dataset_list,
block,
metadata_key_list,
metadata_list,
base_header_list=None):
header_list = [(DataProvider.BlockName, 'Block')] + (base_header_list or []) + \
lzip(sorted(metadata_key_list), sorted(metadata_key_list))
for metadata in metadata_list:
metadata[DataProvider.Dataset] = block[DataProvider.Dataset]
metadata[DataProvider.BlockName] = block.get(DataProvider.BlockName)
title = get_title_update_header(dataset_list, header_list)
ConsoleTable.create(header_list, metadata_list, title=title, pivot=True)
def getDisplayList(aliasDict):
tableList = []
for name in aliasDict:
# sorted by length of name and depth
by_len_depth = sorted(aliasDict[name], key = lambda d_a: (-len(d_a[1]), d_a[0]))
# sorted by depth and name
by_depth_name = sorted(aliasDict[name], key = lambda d_a: (d_a[0], d_a[1]))
new_name = by_len_depth.pop()[1]
aliasList = lmap(lambda d_a: d_a[1], by_depth_name)
aliasList.remove(new_name)
entry = {'Name': new_name, 'Alias': str.join(', ', aliasList)}
if ('Multi' not in name) and ('Base' not in name):
tableList.append(entry)
return tableList
def _findCollision(self, tName, nameDict, varDict, hashKeys, keyFmt, nameFmt = identity):
dupesDict = {}
for (key, name) in nameDict.items():
dupesDict.setdefault(nameFmt(name), []).append(keyFmt(name, key))
ask = True
for name, key_list in sorted(dupesDict.items()):
if len(key_list) > 1:
self._log.warn('Multiple %s keys are mapped to the name %s!', tName, repr(name))
for key in sorted(key_list):
self._log.warn('\t%s hash %s using:', tName, str.join('#', key))
for var, value in self._getFilteredVarDict(varDict, key, hashKeys).items():
self._log.warn('\t\t%s = %s', var, value)
if ask and not utils.getUserBool('Do you want to continue?', False):
sys.exit(os.EX_OK)
ask = False
def list_parameters(opts, psource):
(result, needGCParam) = get_parameters(opts, psource)
enabledOutput = opts.output.split(',')
output = lfilter(lambda k: not opts.output or k in enabledOutput, psource.getJobKeys())
stored = lfilter(lambda k: k.untracked == False, output)
untracked = lfilter(lambda k: k.untracked == True, output)
if opts.collapse > 0:
result_old = result
result = {}
result_nicks = {}
head = [('COLLATE_JOBS', '# of jobs')]
if 'DATASETSPLIT' in stored:
stored.remove('DATASETSPLIT')
if opts.collapse == 1:
stored.append('DATASETNICK')
head.append(('DATASETNICK', 'DATASETNICK'))
elif opts.collapse == 2:
head.append(('COLLATE_NICK', '# of nicks'))
for pset in result_old:
if ('DATASETSPLIT' in pset) and (opts.collapse == 1):
pset.pop('DATASETSPLIT')
nickname = None
if ('DATASETNICK' in pset) and (opts.collapse == 2):
nickname = pset.pop('DATASETNICK')
h = md5_hex(repr(lmap(pset.get, stored)))
result.setdefault(h, []).append(pset)
result_nicks.setdefault(h, set()).add(nickname)
def doCollate(h):
tmp = result[h][0]
tmp['COLLATE_JOBS'] = len(result[h])
tmp['COLLATE_NICK'] = len(result_nicks[h])
return tmp
result = lmap(doCollate, result)
else:
head = [('GC_JOB_ID', '#')]
if needGCParam:
head.append(('GC_PARAM', 'GC_PARAM'))
if opts.active:
head.append((ParameterInfo.ACTIVE, 'ACTIVE'))
if opts.visible:
stored = opts.visible.split(',')
head.extend(sorted(izip(stored, stored)))
if opts.untracked:
head.extend(sorted(imap(lambda n: (n, '(%s)' % n), ifilter(lambda n: n not in ['GC_PARAM', 'GC_JOB_ID'], untracked))))
utils.vprint('')
utils.printTabular(head, result)
def _str_dict_cfg(value, parser=identity, strfun=str):
(srcdict, srckeys) = value
result = ''
if srcdict.get(None) is not None:
result = strfun(srcdict[None])
key_value_iter = imap(lambda k: '%s => %s' % (k, strfun(srcdict[k])), sorted(srckeys))
return (result + str.join(' <newline> ', key_value_iter)).strip()
def dump_log_setup(level):
root = logging.getLogger()
def display_logger(indent, logger, name):
propagate_symbol = '+'
if hasattr(logger, 'propagate') and not logger.propagate:
propagate_symbol = 'o'
desc = name
if hasattr(logger, 'level'):
desc += ' (level = %s)' % logging.getLevelName(logger.level)
root.log(level, '%s%s %s', '| ' * indent, propagate_symbol, desc)
if hasattr(logger, 'filters'):
for lf in logger.filters:
root.log(level, '%s# %s', '| ' * (indent + 1), lf.__class__.__name__)
if hasattr(logger, 'handlers'):
for handler in logger.handlers:
root.log(level, '%s> %s', '| ' * (indent + 1), handler.__class__.__name__)
fmt = handler.formatter
if fmt:
desc = fmt.__class__.__name__
if isinstance(fmt, ExceptionFormatter):
desc = repr(fmt)
elif isinstance(fmt, logging.Formatter):
desc += '(%s, %s)' % (repr(getattr(fmt, '_fmt')), repr(fmt.datefmt))
root.log(level, '%s| %% %s', '| ' * (indent + 1), desc)
display_logger(0, root, '<root>')
for key, logger in sorted(root.manager.loggerDict.items()):
display_logger(key.count('.') + 1, logger, key)
def _readJobs(self, jobLimit):
utils.ensureDirExists(self._dbPath, 'job database directory', JobError)
candidates = []
for jobFile in fnmatch.filter(os.listdir(self._dbPath), 'job_*.txt'):
try: # 2xsplit is faster than regex
jobNum = int(jobFile.split(".")[0].split("_")[1])
except Exception:
continue
candidates.append((jobNum, jobFile))
(jobMap, maxJobs) = ({}, len(candidates))
activity = Activity('Reading job infos')
idx = 0
for (jobNum, jobFile) in sorted(candidates):
idx += 1
if (jobLimit >= 0) and (jobNum >= jobLimit):
self._log.info('Stopped reading job infos at job #%d out of %d available job files, since the limit of %d jobs is reached',
jobNum, len(candidates), jobLimit)
break
jobObj = self._load_job(os.path.join(self._dbPath, jobFile))
jobMap[jobNum] = jobObj
if idx % 100 == 0:
activity.update('Reading job infos %d [%d%%]' % (idx, (100.0 * idx) / maxJobs))
activity.finish()
return jobMap
def _cancel(self, task, wms, jobnum_list, interactive, show_jobs):
if len(jobnum_list) == 0:
return
if show_jobs:
self._abort_report.show_report(self.job_db, jobnum_list)
if interactive and not self._uii.prompt_bool('Do you really want to cancel these jobs?', True):
return
def _mark_cancelled(jobnum):
job_obj = self.job_db.get_job(jobnum)
if job_obj is not None:
self._update(task, job_obj, jobnum, Job.CANCELLED)
self._local_event_handler.on_job_update(task, wms, job_obj, jobnum, {'reason': 'cancelled'})
jobnum_list.reverse()
map_gc_id2jobnum = self._get_map_gc_id_jobnum(jobnum_list)
gc_id_list = sorted(map_gc_id2jobnum, key=lambda gc_id: -map_gc_id2jobnum[gc_id])
for (gc_id,) in wms.cancel_jobs(gc_id_list):
# Remove cancelledd job from todo list and mark as cancelled
_mark_cancelled(map_gc_id2jobnum.pop(gc_id))
if map_gc_id2jobnum:
jobnum_list = list(map_gc_id2jobnum.values())
self._log.warning('There was a problem with cancelling the following jobs:')
self._abort_report.show_report(self.job_db, jobnum_list)
if (not interactive) or self._uii.prompt_bool('Do you want to mark them as cancelled?', True):
lmap(_mark_cancelled, jobnum_list)
if interactive:
wait(2)
def ds_generator():
for ds in sorted(dsCache):
if self._sortBlock:
sort_inplace(dsCache[ds],
key=itemgetter(DataProvider.BlockName))
for block in dsCache[ds]:
yield block
def get_dataset_info(opts, args, query_blocks=True):
config = get_dataset_config(opts, args)
provider = config.get_composited_plugin('dataset', cls=DataProvider,
bind_kwargs={'provider_name_default': config.get('dataset provider')},
default_compositor=':ThreadedMultiDatasetProvider:') # -T disables multi-threading further below
dataset_list = sorted(provider.get_dataset_name_list())
if len(dataset_list) == 0:
raise DatasetError('No datasets matched!')
# Query blocks only if needed
query_blocks = False
for option in opts.__dict__:
if option.startswith('list_') and (option != 'list_dataset_names') or (option == 'save'):
if getattr(opts, option):
query_blocks = True
block_list = None
if query_blocks:
block_list = provider.get_block_list_cached(show_stats=False)
if len(block_list) == 0:
raise DatasetError('No blocks matched!')
if opts.ordered:
sort_inplace(block_list, key=itemgetter(DataProvider.Dataset, DataProvider.BlockName))
for block in block_list:
sort_inplace(block[DataProvider.FileList], key=itemgetter(DataProvider.URL))
return (provider, dataset_list, block_list)
def _fill_cms_fi_list(self, block, block_path):
activity_fi = Activity('Getting file information')
lumi_used = False
lumi_info_dict = {}
if self._lumi_query: # central lumi query
lumi_info_dict = self._get_cms_lumi_dict(block_path)
fi_list = []
for (fi,
lumi_info_list) in self._iter_cms_files(block_path,
self._only_valid,
self._lumi_query):
self._raise_on_abort()
if lumi_info_dict and not lumi_info_list:
lumi_info_list = lumi_info_dict.get(fi[DataProvider.URL], [])
if lumi_info_list:
(run_list_result, lumi_list_result) = ([], [])
for (run, lumi_list) in sorted(lumi_info_list):
run_list_result.extend([run] * len(lumi_list))
lumi_list_result.extend(lumi_list)
assert len(run_list_result) == len(lumi_list_result)
fi[DataProvider.Metadata] = [run_list_result, lumi_list_result]
lumi_used = True
fi_list.append(fi)
if lumi_used:
block.setdefault(DataProvider.Metadata,
[]).extend(['Runs', 'Lumi'])
block[DataProvider.FileList] = fi_list
activity_fi.finish()
def display(keys, varDict, varPrefix = ''):
maxlen = max(map(len, tmp.keys()) + [0])
for var in sorted(keys):
value = safeRepr(varDict[var])
if 'password' in var:
value = '<redacted>'
log.critical('\t\t%s%s = %s', varPrefix, var.ljust(maxlen), value)
def _process_config_file_list(self, config, config_file_list,
fragment_path, auto_prepare, must_prepare):
# process list of uninitialized config files
iter_uninitialized_config_files = self._config_find_uninitialized(
config, config_file_list, auto_prepare, must_prepare)
for (cfg, cfg_new, do_prepare) in iter_uninitialized_config_files:
ask_user_msg = 'Do you want to prepare %s for running over the dataset?' % cfg
if do_prepare and (auto_prepare
or self._uii.prompt_bool(ask_user_msg, True)):
self._config_store_backup(cfg, cfg_new, fragment_path)
else:
self._config_store_backup(cfg, cfg_new)
result = []
for cfg in config_file_list:
cfg_new = config.get_work_path(os.path.basename(cfg))
if not os.path.exists(cfg_new):
raise ConfigError(
'Config file %r was not copied to the work directory!' %
cfg)
is_instrumented = self._config_is_instrumented(cfg_new)
if must_prepare and not is_instrumented:
raise ConfigError(
'Config file %r must use %s to work properly!' %
(cfg,
str.join(
', ',
imap(lambda x: '@%s@' % x, sorted(
self._needed_vn_set)))))
if auto_prepare and not is_instrumented:
self._log.warning('Config file %r was not instrumented!', cfg)
result.append(cfg_new)
return result
def _getSubmissionJobs(self, maxsample):
# Get list of submittable jobs
readyList = self.jobDB.getJobs(ClassSelector(JobClass.READY))
retryOK = readyList
defaultJob = Job()
if self._job_retries >= 0:
retryOK = lfilter(lambda x: self.jobDB.get(x, defaultJob).attempt - 1 < self._job_retries, readyList)
modOK = lfilter(self._task.canSubmit, readyList)
jobList = set.intersection(set(retryOK), set(modOK))
if self._showBlocker and readyList and not jobList: # No submission but ready jobs
err = []
err += utils.QM((len(retryOK) > 0) and (len(modOK) == 0), [], ['have hit their maximum number of retries'])
err += utils.QM((len(retryOK) == 0) and (len(modOK) > 0), [], ['are vetoed by the task module'])
self._log_user_time.warning('All remaining jobs %s!', str.join(utils.QM(retryOK or modOK, ' or ', ' and '), err))
self._showBlocker = not (len(readyList) > 0 and len(jobList) == 0)
# Determine number of jobs to submit
submit = len(jobList)
if self._njobs_inqueue > 0:
submit = min(submit, self._njobs_inqueue - self.jobDB.getJobsN(ClassSelector(JobClass.ATWMS)))
if self._njobs_inflight > 0:
submit = min(submit, self._njobs_inflight - self.jobDB.getJobsN(ClassSelector(JobClass.PROCESSING)))
if self._continuous and (maxsample > 0):
submit = min(submit, maxsample)
submit = max(submit, 0)
if self._do_shuffle:
return self._sample(jobList, submit)
return sorted(jobList)[:submit]
def dump_log_setup(level):
root = logging.getLogger()
def display_logger(indent, logger, name):
propagate_symbol = '+'
if hasattr(logger, 'propagate') and not logger.propagate:
propagate_symbol = 'o'
desc = name
if hasattr(logger, 'level'):
desc += ' (level = %s)' % logging.getLevelName(logger.level)
root.log(level, '%s%s %s', '| ' * indent, propagate_symbol, desc)
if hasattr(logger, 'filters'):
for lf in logger.filters:
root.log(level, '%s# %s', '| ' * (indent + 1),
lf.__class__.__name__)
if hasattr(logger, 'handlers'):
for handler in logger.handlers:
root.log(level, '%s> %s', '| ' * (indent + 1),
handler.__class__.__name__)
fmt = handler.formatter
if fmt:
desc = fmt.__class__.__name__
if isinstance(fmt, ExceptionFormatter):
desc = repr(fmt)
elif isinstance(fmt, logging.Formatter):
desc += '(%s, %s)' % (repr(getattr(
fmt, '_fmt')), repr(fmt.datefmt))
root.log(level, '%s| %% %s', '| ' * (indent + 1), desc)
display_logger(0, root, '<root>')
for key, logger in sorted(root.manager.loggerDict.items()):
display_logger(key.count('.') + 1, logger, key)
def _read_jobs(self, job_limit):
ensure_dir_exists(self._path_db, 'job database directory', JobError)
candidates = []
for job_fn in fnmatch.filter(os.listdir(self._path_db), 'job_*.txt'):
try: # 2xsplit is faster than regex
jobnum = int(job_fn.split(".")[0].split("_")[1])
except Exception:
clear_current_exception()
continue
candidates.append((jobnum, job_fn))
(job_map, max_job_len) = ({}, len(candidates))
activity = Activity('Reading job infos')
idx = 0
for (jobnum, job_fn) in sorted(candidates):
idx += 1
if jobnum >= job_limit >= 0:
self._log.info('Stopped reading job infos at job #%d out of %d available job files, ' +
'since the limit of %d jobs is reached', jobnum, len(candidates), job_limit)
break
try:
job_fn_full = os.path.join(self._path_db, job_fn)
data = self._fmt.parse(SafeFile(job_fn_full).iter_close())
job_obj = self._create_job_obj(job_fn_full, data)
except Exception:
raise JobError('Unable to process job file %r' % job_fn_full)
job_map[jobnum] = job_obj
activity.update('Reading job infos %d [%d%%]' % (idx, (100.0 * idx) / max_job_len))
activity.finish()
return job_map
def _displaySetup(self, dsPath, head):
if os.path.exists(dsPath):
nickNames = set()
for block in DataProvider.loadFromFile(dsPath).getBlocks():
nickNames.add(block[DataProvider.Nickname])
utils.vprint('Mapping between nickname and other settings:\n', -1)
report = []
for nick in sorted(nickNames):
lumi_filter_str = formatLumi(
self._nmLumi.lookup(nick, '', is_selector=False))
if len(lumi_filter_str) > 4:
nice_lumi_filter = '%s ... %s (%d entries)' % (
lumi_filter_str[0], lumi_filter_str[-1],
len(lumi_filter_str))
else:
nice_lumi_filter = str.join(', ', lumi_filter_str)
config_files = self._nmCfg.lookup(nick, '', is_selector=False)
tmp = {
0: nick,
1: str.join(', ', imap(os.path.basename, config_files)),
2: nice_lumi_filter
}
lookupvars = {'DATASETNICK': nick}
for src in self._pm.lookupSources:
src.fillParameterInfo(None, lookupvars)
tmp.update(lookupvars)
report.append(tmp)
utils.printTabular(head, report, 'cl')
utils.vprint(level=-1)
def remove_all_overlap(data):
dist2 = lambda a, b: (a['x'] - b['x'])**2 + (a['y'] - b['y'])**2
check_overlap = lambda a, b: dist2(a, b) < (a['weight'] + b['weight'])**2
def remove_overlap(fix, a):
vec = {'x': a['x'] + fix['x'], 'y': a['y'] + fix['y']}
norm = math.sqrt(dist2(vec, {'x': 0, 'y': 0})) * 1000
vec = {'x': vec['x'] / norm, 'y': vec['y'] / norm}
for pt in result:
while check_overlap(pt, a):
a['x'] = a['x'] + vec['x'] * (random.random() - 0.25)
a['y'] = a['y'] + vec['y'] * (random.random() - 0.25)
return a
def center_of_mass(data):
wsum_x = sum(map(lambda pt: pt['x']*pt['weight'], data))
wsum_y = sum(map(lambda pt: pt['y']*pt['weight'], data))
sum_w = sum(map(lambda pt: pt['weight'], data))
return {'x': wsum_x / sum_w, 'y': wsum_y / sum_w}
result = []
data = sorted(data, key = lambda x: -x['weight'])
for pt in data:
collisions = filter(lambda x: check_overlap(x, pt), result)
if collisions:
result.append(remove_overlap(center_of_mass(collisions), pt))
else:
result.append(pt)
return result
def __init__(self, config, name):
self._name = name # needed for changeView calls before the constructor
head = [('DATASETNICK', 'Nickname')]
# Mapping between nickname and config files:
self._nmCfg = config.getLookup('nickname config', {}, defaultMatcher = 'regex',
parser = lambda x: lmap(str.strip, x.split(',')), strfun = lambda x: str.join(',', x))
if not self._nmCfg.empty():
allConfigFiles = sorted(set(ichain(self._nmCfg.get_values())))
config.set('config file', str.join('\n', allConfigFiles))
head.append((1, 'Config file'))
elif config.get('config file', ''):
raise ConfigError("Please use 'nickname config' instead of 'config file'")
# Mapping between nickname and constants - only display - work is handled by the 'normal' parameter factory
nmCName = config.getList('nickname constants', [], onChange = None)
param_config = config.changeView(viewClass = 'TaggedConfigView', setClasses = None, setNames = None, addSections = ['parameters'])
param_config.set('constants', str.join(' ', nmCName), '+=')
for cName in nmCName:
param_config.set(cName + ' matcher', 'regex')
param_config.set(cName + ' lookup', 'DATASETNICK')
head.append((cName, cName))
# Mapping between nickname and lumi filter - only display - work is handled by the 'normal' lumi filter
config.set('lumi filter matcher', 'regex')
if 'nickname lumi filter' in config.getOptions():
config.set('lumi filter', strDictLong(config.getDict('nickname lumi filter', {}, onChange = None)))
self._nmLumi = config.getLookup('lumi filter', {}, parser = parseLumiFilter, strfun = strLumi, onChange = None)
if not self._nmLumi.empty():
head.append((2, 'Lumi filter'))
CMSSW.__init__(self, config, name)
self._displaySetup(config.getWorkPath('datacache.dat'), head)
def process(self, blockIter):
if self._sortDS:
dsCache = {}
for block in blockIter:
dsCache.setdefault(block[DataProvider.Dataset],
[]).append(block)
def ds_generator():
for ds in sorted(dsCache):
if self._sortBlock:
sort_inplace(dsCache[ds],
key=itemgetter(DataProvider.BlockName))
for block in dsCache[ds]:
yield block
blockIter = ds_generator()
elif self._sortBlock:
blockIter = sorted(blockIter,
key=itemgetter(DataProvider.BlockName))
# Yield blocks
for block in blockIter:
if self._sortFiles:
sort_inplace(block[DataProvider.FileList],
key=itemgetter(DataProvider.URL))
if self._sortLocation:
sort_inplace(block[DataProvider.Locations])
yield block
def _check_map_name2key(self, map_key2name, map_key2metadata_dict):
# Find name <-> key collisions
map_type2name2key_list = {}
for (key, name) in map_key2name.items():
if len(key) == 1:
key_type = 'dataset'
else:
key_type = 'block'
map_type2name2key_list.setdefault(key_type, {}).setdefault(name, []).append(key)
collision = False
map_key_type2vn_list = {
'dataset': self._hash_input_set_dataset,
'block': self._hash_input_set_dataset + self._hash_input_set_block
}
for (key_type, vn_list) in map_key_type2vn_list.items():
for (name, key_list) in map_type2name2key_list.get(key_type, {}).items():
if len(key_list) > 1:
self._log.warn('Multiple %s keys are mapped to the name %s!', key_type, repr(name))
for idx, key in enumerate(sorted(key_list)):
self._log.warn('\tCandidate #%d with key %r:', idx + 1, str.join('#', key))
metadata_dict = map_key2metadata_dict[key]
for (vn, value) in filter_dict(metadata_dict, key_filter=vn_list.__contains__).items():
self._log.warn('\t\t%s = %s', vn, value)
collision = True
if self._interactive_assignment and collision:
if not UserInputInterface().prompt_bool('Do you want to continue?', False):
sys.exit(os.EX_OK)
def _cancel(self, task, wms, jobnum_list, interactive, show_jobs):
if len(jobnum_list) == 0:
return
if show_jobs:
self._abort_report.show_report(self.job_db, jobnum_list)
if interactive and not self._uii.prompt_bool(
'Do you really want to cancel these jobs?', True):
return
def _mark_cancelled(jobnum):
job_obj = self.job_db.get_job(jobnum)
if job_obj is not None:
self._update(task, job_obj, jobnum, Job.CANCELLED)
self._local_event_handler.on_job_update(
task, wms, job_obj, jobnum, {'reason': 'cancelled'})
jobnum_list.reverse()
map_gc_id2jobnum = self._get_map_gc_id_jobnum(jobnum_list)
gc_id_list = sorted(map_gc_id2jobnum,
key=lambda gc_id: -map_gc_id2jobnum[gc_id])
for (gc_id, ) in wms.cancel_jobs(gc_id_list):
# Remove cancelledd job from todo list and mark as cancelled
_mark_cancelled(map_gc_id2jobnum.pop(gc_id))
if map_gc_id2jobnum:
jobnum_list = list(map_gc_id2jobnum.values())
self._log.warning(
'There was a problem with cancelling the following jobs:')
self._abort_report.show_report(self.job_db, jobnum_list)
if (not interactive) or self._uii.prompt_bool(
'Do you want to mark them as cancelled?', True):
lmap(_mark_cancelled, jobnum_list)
if interactive:
wait(2)
def _build_blocks(self, map_key2fm_list, map_key2name, map_key2metadata_dict):
# Return named dataset
for key in sorted(map_key2fm_list):
result = {
DataProvider.Dataset: map_key2name[key[:1]],
DataProvider.BlockName: map_key2name[key[:2]],
}
fm_list = map_key2fm_list[key]
# Determine location_list
location_list = None
for file_location_list in ifilter(lambda s: s is not None, imap(itemgetter(3), fm_list)):
location_list = location_list or []
location_list.extend(file_location_list)
if location_list is not None:
result[DataProvider.Locations] = list(UniqueList(location_list))
# use first file [0] to get the initial metadata_dict [1]
metadata_name_list = list(fm_list[0][1].keys())
result[DataProvider.Metadata] = metadata_name_list
# translate file metadata into data provider file info entries
def _translate_fm2fi(url, metadata_dict, entries, location_list, obj_dict):
if entries is None:
entries = -1
return {DataProvider.URL: url, DataProvider.NEntries: entries,
DataProvider.Metadata: lmap(metadata_dict.get, metadata_name_list)}
result[DataProvider.FileList] = lsmap(_translate_fm2fi, fm_list)
yield result
def _submit_get_jobs(self, task):
# Get list of submittable jobs
jobnum_list_ready = self.job_db.get_job_list(ClassSelector(JobClass.SUBMIT_CANDIDATES))
(n_mod_ok, n_retry_ok, jobnum_list) = self._get_enabled_jobs(task, jobnum_list_ready)
if self._show_blocker and jobnum_list_ready and not jobnum_list: # No submission but ready jobs
err_str_list = []
if (n_retry_ok <= 0) or (n_mod_ok != 0):
err_str_list.append('have hit their maximum number of retries')
if (n_retry_ok != 0) and (n_mod_ok <= 0):
err_str_list.append('are vetoed by the task module')
err_delim = ' and '
if n_retry_ok or n_mod_ok:
err_delim = ' or '
self._log.log_time(logging.WARNING, 'All remaining jobs %s!', str.join(err_delim, err_str_list))
self._show_blocker = not (len(jobnum_list_ready) > 0 and len(jobnum_list) == 0)
# Determine number of jobs to submit
submit = len(jobnum_list)
if self._njobs_inqueue > 0:
submit = min(submit, self._njobs_inqueue - self.job_db.get_job_len(
ClassSelector(JobClass.ATWMS)))
if self._njobs_inflight > 0:
submit = min(submit, self._njobs_inflight - self.job_db.get_job_len(
ClassSelector(JobClass.PROCESSING)))
if self._chunks_enabled and (self._chunks_submit > 0):
submit = min(submit, self._chunks_submit)
submit = max(submit, 0)
if self._do_shuffle:
return self._sample(jobnum_list, submit)
return sorted(jobnum_list)[:submit]
def display(self):
(catStateDict, catDescDict,
_) = CategoryBaseReport._getCategoryStateSummary(self)
infos = []
head = set()
stateCat = {
Job.SUCCESS: 'SUCCESS',
Job.FAILED: 'FAILED',
Job.RUNNING: 'RUNNING',
Job.DONE: 'RUNNING'
}
for catKey in catDescDict:
tmp = dict(catDescDict[catKey])
head.update(tmp.keys())
for stateKey in catStateDict[catKey]:
state = stateCat.get(stateKey, 'WAITING')
tmp[state] = tmp.get(state, 0) + catStateDict[catKey][stateKey]
infos.append(tmp)
stateCatList = ['WAITING', 'RUNNING', 'FAILED', 'SUCCESS']
utils.printTabular(lmap(lambda x: (x, x),
sorted(head) + stateCatList),
infos,
'c' * len(head),
fmt=dict.fromkeys(
stateCatList,
lambda x: '%7d' % parseStr(x, int, 0)))
def write(self, stream, print_minimal=False, print_source=False, print_oneline=False, **kwarg):
config = self._prepare_write(**kwarg)
for section in sorted(config):
if not print_oneline:
stream.write('[%s]\n' % section)
for option in sorted(config[section]):
entry_list = sorted(config[section][option], key=lambda e: e.order)
if print_minimal:
entry_list = ConfigEntry.simplify_entries(entry_list)
for entry in entry_list:
source = ''
if print_source:
source = entry.source
stream.write(entry.format(print_section=print_oneline, source=source) + '\n')
if not print_oneline:
stream.write('\n')
def fillCMSFiles(self, block, blockPath):
lumi_used = False
lumiDict = {}
if self._lumi_query: # central lumi query
lumiDict = self.getCMSLumisImpl(blockPath)
fileList = []
for (fileInfo,
listLumi) in self.getCMSFilesImpl(blockPath, self.onlyValid,
self._lumi_query):
if lumiDict and not listLumi:
listLumi = lumiDict.get(fileInfo[DataProvider.URL], [])
if listLumi:
(listLumiExt_Run, listLumiExt_Lumi) = ([], [])
for (run, lumi_list) in sorted(listLumi):
listLumiExt_Run.extend([run] * len(lumi_list))
listLumiExt_Lumi.extend(lumi_list)
fileInfo[DataProvider.Metadata] = [
listLumiExt_Run, listLumiExt_Lumi
]
lumi_used = True
fileList.append(fileInfo)
if lumi_used:
block.setdefault(DataProvider.Metadata,
[]).extend(['Runs', 'Lumi'])
block[DataProvider.FileList] = fileList
def _getUserSource(self, pExpr):
# Wrap psource factory functions
def createWrapper(clsName):
def wrapper(*args):
parameterClass = ParameterSource.getClass(clsName)
try:
return parameterClass.create(self._paramConfig,
self._repository, *args)
except Exception:
raise ParameterError(
'Error while creating %r with arguments %r' %
(parameterClass.__name__, args))
return wrapper
userFun = {}
for clsInfo in ParameterSource.getClassList():
for clsName in ifilter(lambda name: name != 'depth',
clsInfo.keys()):
userFun[clsName] = createWrapper(clsName)
try:
return eval(pExpr, dict(userFun)) # pylint:disable=eval-used
except Exception:
self._log.warning('Available functions: %s',
sorted(userFun.keys()))
raise
def _read_block(self, ds_config, dataset_expr, dataset_nick):
metadata_name_list = parse_json(ds_config.get('metadata', '[]', on_change=None))
common_metadata = parse_json(ds_config.get('metadata common', '[]', on_change=None))
if len(common_metadata) > len(metadata_name_list):
raise DatasetError('Unable to set %d common metadata items ' % len(common_metadata) +
'with %d metadata keys' % len(metadata_name_list))
common_prefix = ds_config.get('prefix', '', on_change=None)
fn_list = []
has_events = False
has_se_list = False
for url in ds_config.get_option_list():
if url == 'se list':
has_se_list = True
elif url == 'events':
has_events = True
elif url not in ['dataset hash', 'metadata', 'metadata common', 'nickname', 'prefix']:
fi = self._read_fi(ds_config, url, metadata_name_list, common_metadata, common_prefix)
fn_list.append(fi)
if not fn_list:
raise DatasetError('There are no dataset files specified for dataset %r' % dataset_expr)
result = {
DataProvider.Nickname: ds_config.get('nickname', dataset_nick or '', on_change=None),
DataProvider.FileList: sorted(fn_list, key=lambda fi: fi[DataProvider.URL])
}
result.update(DataProvider.parse_block_id(dataset_expr))
if metadata_name_list:
result[DataProvider.Metadata] = metadata_name_list
if has_events:
result[DataProvider.NEntries] = ds_config.get_int('events', -1, on_change=None)
if has_se_list:
result[DataProvider.Locations] = parse_list(ds_config.get('se list', '', on_change=None), ',')
return result