def template(template=None,connection_file=None,project_name=None):
"""
List templates and possibly create one for the user.
Use the connection_file and project_name flags to set these options.
Otherwise, only the template name is required.
"""
if not os.path.isdir('connections'): os.mkdir('connections')
template_source = 'connection_templates.py'
if sys.version_info<(3,0):
templates = {}
execfile(os.path.join(os.path.dirname(__file__),template_source),templates)
for key in [i for i in templates if not re.match('^template_',i)]: templates.pop(key)
asciitree({'templates':[re.match('^template_(.+)$',k).group(1) for k in templates.keys()]})
else: raise Exception('dev')
#---if the user requests a template, write it for them
if not template and not connection_file: print('[NOTE] rerun with e.g. '+
'`make template <template_name>` to make a new connection with the same name as the template. '+
'you can also supply keyword arguments for the connection_file and project name')
elif connection_file and not template: raise Exception('you must supply a template_name')
elif template not in templates and 'template_%s'%template not in templates:
raise Exception('cannot find template "%s"'%template)
elif not connection_file and template: connection_file = template+'.yaml'
#---write the template
if template:
fn = os.path.join('connections',connection_file)
if not re.match('^.+\.yaml$',fn): fn = fn+'.yaml'
with open(fn,'w') as fp:
template_text = templates.get(template,templates['template_%s'%template])
if project_name:
template_text = re.sub('^([^\s]+):','%s:'%project_name,template_text,flags=re.M)
fp.write(template_text)
print('[NOTE] wrote a new template to %s'%fn)
def avail(config=None, mods=None, **kwargs):
"""List available tests."""
build_dn = kwargs.pop('build', 'builds')
toc_fn = kwargs.pop('toc_fn', 'docker.json')
username = kwargs.pop('username', container_user)
config_dict = read_config()
if config == None:
config = config_dict.get('docks_config', 'docker_config.py')
if kwargs: raise Exception('unprocessed kwargs %s' % kwargs)
# get the interpreted docker configuration
instruct = interpret_docker_instructions(config=config, mods=mods)
from datapack import asciitree
tests_these = dict(tests=instruct.get('tests', {}).keys())
asciitree(tests_these)
return tests_these
def __init__(self,**kwargs):
self.root = 'calcs'
self.ledger_fn = kwargs.pop('ledger','audit.yaml')
self.debug = kwargs.pop('debug',False)
if kwargs: raise Exception('unprocessed kwargs %s'%kwargs)
status('welcome to the auditor')
self.ledger = os.path.join(self.root,self.ledger_fn)
if not os.path.isfile(self.ledger): raise Exception('cannot find %s'%self.ledger)
else:
with open(self.ledger) as fp: self.raw = yaml.load(fp.read())
# print everything
asciitree(self.raw)
self.interpret()
if self.debug:
import ipdb
ipdb.set_trace()
def __init__(self, refresh=False):
"""
Create a factory environment from instructions in the config, and setup or refresh if necessary.
"""
#---create required folders for the factory
for fn in self.required_folders:
if not os.path.isdir(fn): os.mkdir(fn)
#---get a copy of the configuration
self.config = read_config()
self.timestamp = self.config.get('setup_stamp', None)
kind = self.config.get('species', None)
if kind not in self.meta:
msg = (
'It looks like this is your first time.'
'To get started with the factory, you have to choose a virtual environment. '
'Even if you have lots of dank packages installed on your linux box, we still use (at least) '
'a virtualenv to make sure you have all of the correct dependencies. We recommend '
'`virtualenv` for users with lots of required packages, `virtualenv_sandbox` for those with '
'major dependency issues (looking at you, Debian), and `anaconda` for advanced users who '
'want that sweet, sweet 3D viz and protection against totally screwing up your window '
'manager.')
msg_instruct = 'Before continuing, run `make set species <name>` where the name comes '+\
'from the following list: '
print('\n' + fab('WELCOME to the FACTORY', 'cyan_black') + '\n')
print('\n'.join(textwrap.wrap(msg, width=80)))
print('\n' + '\n'.join(textwrap.wrap(msg_instruct, width=80)) +
'\n')
asciitree({'envs': self.meta.keys()})
sys.exit(1)
self.kind = kind
for key in self.meta[kind]:
self.__dict__[key] = self.meta[kind][key]
#---make sure all requirements files are available no matter what
do_refresh = (self.timestamp and self.check_spotchange()) or refresh
#---environment creation is divided into two parts: first run and refreshes
start_time = time.time()
if not self.timestamp: getattr(self, self.setup_kickstart)()
if not self.timestamp or do_refresh:
getattr(self, self.setup_refresh)()
if do_refresh or not self.timestamp:
print('[NOTE] setup took %.1f minutes' %
((time.time() - start_time) / 60.))
#---register all changes and welcome the user to the plush new environment
self.register_finished()
if hasattr(self, self.welcome): getattr(self, self.welcome)()
def docker_recap(longest=True, log=False):
"""Summarize docker compile times."""
config = read_config()
from datapack import asciitree
docker_history = config.get('docker_history', {})
keys = list(set([i[0] for i in docker_history]))
timings = dict([(key, {}) for key in keys])
for key in keys:
stamps = [i[1] for i in docker_history if i[0] == key]
timings[key]['timings'] = dict([
(s, '%.1f min' % (docker_history[(key, s)]['total_time'] / 60.))
for s in stamps
])
timings[key]['sub-timings'] = [
'%s, %.1f min' % (s['name'], s['elapsed'] / 60.)
for s in docker_history[(key, s)]['series']
]
timings[key]['longest'] = max(timings[key]['timings'].values())
if not log: asciitree(timings)
else: print(json.dumps(timings))
def inject_supervised_plot_tools(out, mode='supervised', silent=False):
"""
Add important tools to a dictionary which is later exported to the namespace for plotting.
This function was centralized here so that both the interactive header and non-interactive execution
modes can use it.
"""
import os, sys, re
work = out['work']
#---save keys before the additions
keys_incoming = set(out.keys())
#---import sequence from original header.py
from . import store
#---distribute the workspace to the store module
#---...we have to distribute this way, or internalize these function
store.work = work
from .store import plotload, picturesave, picturesave_redacted
from .tools import status
if work.metadata.director.get('redacted', False):
picturesave = picturesave_redacted
#---handle latex and matplotlibrc here
from config import read_config
try:
config = read_config()
cwd = '.'
#---if execution does not happen in the omnicalc root we are in interactive mode running from calcs
except:
cwd = '../'
config = read_config(cwd=cwd)
matplotlibrc_path = os.path.join(
cwd, config.get('matplotlibrc', 'omni/plotter/matplotlibrc'))
#---without an explicit matplotlibrc file, we check the config and then check for the latex binary
if (os.path.basename(matplotlibrc_path) != 'matplotlibrc'
or not os.path.isfile(matplotlibrc_path)):
raise Exception('cannot find a file called "matplotlibrc" here: %s' %
matplotlibrc_path)
os.environ['MATPLOTLIBRC'] = os.path.abspath(
os.path.join(os.getcwd(), os.path.dirname(matplotlibrc_path)))
#---matplotlib is first loaded here
import matplotlib as mpl
if work.mpl_agg: mpl.use('Agg')
import matplotlib.pyplot as plt
#---we default to latex if it is available otherwise we consult config
use_latex = config.get('use_latex', None)
if use_latex == None:
from distutils.spawn import find_executable
use_latex = find_executable('latex')
out.update(mpl=mpl, plt=plt)
#---the plotter __init__.py sets the imports (importantly, including mpl,plt with modifications)
from plotter.panels import panelplot, square_tiles
from makeface import tracebacker
from .hypothesis import hypothesis, sweeper
from copy import deepcopy
#---we would prefer not to import numpy here but it is important for backwards compatibility
import numpy as np
out.update(np=np, os=os, sys=sys, re=re)
#---load custom functions
out.update(plotload=plotload,
picturesave=picturesave,
status=status,
panelplot=panelplot,
square_tiles=square_tiles,
tracebacker=tracebacker,
hypothesis=hypothesis,
sweeper=sweeper,
deepcopy=deepcopy,
np=np)
#---add a plot supervisor instance and the autoplotter decorators
from .autoplotters import PlotSupervisor, autoload, autoplot
out.update(plotrun=PlotSupervisor(mode=mode))
#---we use str_types frequently for python 2,3 cross-compatibility
str_types = [str, unicode] if sys.version_info < (3, 0) else [str]
out.update(autoload=autoload, autoplot=autoplot, str_types=str_types)
#---custom "art director" can be useful for coordinating aesthetics for different projects
from plotter.art_director_importer import import_art_director, protected_art_words
#---you can set the art director in the variables or ideally in the director
art_director = work.metadata.director.get(
'art_director', work.metadata.variables.get('art_director', None))
#---always set protected variables to null
for key in protected_art_words:
out[key] = None
if art_director:
#---reload the art settings if they are already loaded
mod_name = re.match('^(.+)\.py$',
os.path.basename(art_director)).group(1)
#---! switched from reload to a python3-compatible. would prefer to avoid pyc files.
#---! currently disabled on the development branch (getting error module has no attribute reload)
try:
import importlib
if mod_name in sys.modules: importlib.reload(sys.modules[mod_name])
art_vars = import_art_director(art_director,
cwd=os.path.join(cwd, 'calcs'))
#---unpack these into outgoing variables
for key, val in art_vars.items():
out[key] = val
except:
status('cannot reload the art director', tag='warning')
out['_plot_environment_keys'] = list(set(out.keys()) - keys_incoming)
#---tell the user which variables are automagically loaded
if silent: return
status(
'the following variables are loaded into your plot script environment',
tag='note')
from datapack import asciitree
def key_types(obj):
"""Organize injected variables for the user."""
if hasattr(obj, '__name__') and obj.__name__ in ['numpy']:
return 'external'
elif callable(obj):
return 'function'
elif hasattr(obj, '__class__') and obj.__class__.__name__ in [
'WorkSpace', 'PlotSupervisor'
]:
return 'instance'
else:
return 'variable'
key_catalog = dict([(key, key_types(out[key])) for key in out])
report = collections.OrderedDict()
for name in ['variable', 'function', 'instance']:
report[name] = collections.OrderedDict()
items = [(key, out[key]) for key in sorted(out)
if key_catalog[key] == name]
for key, val in items:
if type(val).__name__ == 'classobj':
report[name][key] = '<class \'%s\'>' % val.__name__
elif val.__class__.__name__ == 'module':
report[name][key] = '<module \'%s\'>' % val.__name__
elif val.__class__.__name__ == 'function':
report[name][key] = '<function \'%s\'>' % val.__name__
else:
if val.__class__.__module__ in [
'omnicalc', 'base.autoplotters'
]:
report[name][key] = str(val)
elif key in ['str_types']:
report[name][key] = str(val)
else:
report[name][key] = val
asciitree(dict({'plot_environment': report}))
if len(argvs)==1:
if verbose:
print('[NOTE] imported remotely from %s'%fn)
print('[NOTE] added functions: %s'%(' '.join(new_funcs)))
#---prune non-callables from the list of makeface functions
for name,obj in list(makeface_funcs.items()):
if not hasattr(obj,'__call__'):
print('[WARNING] removing non-callable %s from makeface'%name)
del makeface_funcs[name]
#---command aliases for usability
commands_aliases = configurator.get('commands_aliases',[])
#---environment handler
env_prepend = configurator.get('activate_env','')
if env_prepend: print('[STATUS] config.py: activate environment: "%s"'%env_prepend)
if any([len(i)!=2 for i in commands_aliases]):
raise Exception('commands_aliases must be a list of tuples that specify (target,alias) functions')
#----fails on docs.py when looking for preplist
for j,i in commands_aliases:
if i not in makeface_funcs:
raise Exception('cannot find target command-line function "%s" for alias "%s"'%(i,j))
#---note that we remove the original function after making the alias to avoid redundancy
else: makeface_funcs[j] = makeface_funcs.pop(i)
#---if no argument, make returns valid targets
if len(argvs)==1:
#---this formatting is read by the makefile to get the valid targets (please don't remove it)
print('[STATUS] available make targets: %s'%(' '.join(makeface_funcs.keys())))
from datapack import asciitree
asciitree({'make targets':list(sorted(makeface_funcs.keys()))})
print('[USAGE] `make <target> <args> <kwarg>="<val>" ...`')
else: makeface(*argvs[1:])
def __repr__(self):
"""Readable debugging."""
asciitree({self.__class__.__name__: self.__dict__})
return '<%s instance at 0x%x>' % (self.__class__.__name__, id(self))
def megatest(instruct, via, check=False, clear=None):
"""
The test to end all unit tests.
Run with `make megatest instruct=tests/megatest_v1.yaml via=logs`.
If you ctrl+c out, then you have to remove the folder yourself (because some files are not written).
!!! add keyboard exception that cleans up.
"""
import yaml, glob
# test sequence comes from a separate file
#! considered using wildcard to get tests matching a name from avail()
spec = yaml.load(open(instruct).read())
# read a folder
if not os.path.isdir(via):
raise Exception(
'via argument %s must point to a folder with completed tests' %
via)
logs = glob.glob(os.path.join(via, '*'))
# custom proof of work structure is interpreted here
# proof of work originated in tests/testset.py, test
# ensure pairs of log
regex_log = '^(.*?)\.log$'
regex_script = '^(.*?)\.script\.sh$'
regex_raw = '^(.*?)\.yaml$'
regex_special_summary = '### special summary (.*?)\n'
base_logs, base_script = [
set([
re.match(r, j).group(1)
for j in [os.path.basename(i) for i in logs] if re.match(r, j)
]) for r in [regex_log, regex_script]
]
if base_logs != base_script:
raise Exception('failed to pair all test records: %s' %
list(set.symmetric_difference(base_logs, base_script)))
test_names = list(base_logs)
# loop over tests
if not check and not clear:
for name in spec['sequence']:
name_spaceless = '_'.join(name.split())
if name_spaceless not in test_names:
print('[STATUS] megatest is running test %s' %
(name_spaceless))
# RUN THE TEST
# note that you can set visit below to drop in and see the container without executing
# ... which was useful for debugging the mounts
test(*name.split(),
back=True,
wait=True,
log=True,
visit=False,
dump_raw_test=os.path.join(via,
'%s.yaml' % name_spaceless))
else:
print(
'[STATUS] megatest is skipping test %s because it is logged'
% (name_spaceless))
else:
import yaml
from datapack import asciitree
report = {}
print('[STATUS] status report follows')
for name in test_names:
with open(os.path.join(via, '%s.log' % name), 'r') as fp:
text = fp.read()
passed = None != re.search('unit test is complete', text)
report[name] = dict(passed=passed)
# collect special instructions if passed
try:
with open(os.path.join(via, '%s.script.sh' % name), 'r') as fp:
text = fp.read()
special = re.search('### special summary (.*?)\n', text,
re.M).group(1)
report[name]['special'] = yaml.load(special)
try:
spot = re.search('^spot=(.*?)\n', text,
re.M).group(1).strip()
report[name]['spot'] = spot
except:
pass
except:
pass
asciitree(report)
if clear:
failed = [k for k, v in report.items() if not v['passed']]
for name in failed:
try:
try:
out_dn = os.path.join(
'pier', report[name]['spot'],
report[name]['special']['sim_name'])
shutil.rmtree(out_dn)
except:
print('[WARNING] could not delete %s' % out_dn)
try:
os.system('docker rm %s' % name)
except:
pass
for base_fn in ['%s.log', '%s.script.sh', '%s.yaml']:
try:
os.remove(os.path.join(via, base_fn % name))
except:
pass
except:
print('[WARNING] perhaps failed to clear %s' % name)
