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'''I refuse to write the same thing over and over again in meta.yaml.
And yeah, conda supports Jinja2, but ugh... No.
'''
import os
import conda_build.metadata
import conda_build.environ
import yaml
import shutil
from glob import glob
from configparser import ConfigParser, ExtendedInterpolation
from collections import OrderedDict
from .environment import Environment
from .exceptions import MetaDataError
class MetaData(object):
def __init__(self, filename, env):
filename = os.path.abspath(filename)
if not os.path.exists(filename):
raise OSError('"{0}" does not exist.'.format(filename));
self.filename = filename
self.confdir = os.path.dirname(self.filename)
if not isinstance(env, Environment):
raise MetaDataError('Expecting instance of cbc.environment.Environment, got: "{0}"'.format(type(env)))
self.env = env
self.builtins = ['cbc_build', 'cbc_cgi', 'settings', 'environ']
self.fields = self.convert_conda_fields(conda_build.metadata.FIELDS)
#self.config = SafeConfigParser(interpolation=ExtendedInterpolation(), allow_no_value=True)
self.config = CBCConfigParser(interpolation=ExtendedInterpolation(), allow_no_value=True)
# Include built-in Conda metadata fields
self.config.read_dict(self.fields)
if self.env.configrc is not None:
self.config.read_dict(self.as_dict(self.env.configrc))
# Include user-defined build fields
self.config.read(self.filename)
# Assimilate conda environment variables
self.config['environ'] = conda_build.environ.get_dict()
# Convert ConfigParser -> generic dictionary
self.local = self.as_dict(self.config)
#Field list conversion table taken from conda_build.metadata:
for field in ('source/patches',
'build/entry_points', 'build/script_env',
'build/features', 'build/track_features',
'requirements/build', 'requirements/run',
'requirements/conflicts', 'test/requires',
'test/files', 'test/commands', 'test/imports'):
section, key = field.split('/')
if self.local[section][key]:
self.local[section][key] = self.config.getlist(section, key)
self.local_metadata = {}
for keyword in self.builtins:
if keyword in self.local:
self.local_metadata[keyword] = self.local[keyword]
# Convert dict to YAML-compatible dict
self.conda_metadata = self.scrub(self.local, self.builtins)
def run(self):
self.render_scripts()
def render_scripts(self):
'''Write all conda scripts
'''
for maskkey, maskval in self.env.config['script'].items():
for metakey, metaval in self.compile().items():
if metakey in maskkey:
with open(maskval, 'w+') as metafile:
metafile.write(metaval)
def copy_patches(self):
extensions = ['*.diff', '*.patch']
for extension in extensions:
path = os.path.join(self.confdir, extension)
for patch in glob(path):
shutil.copy2(patch, self.env.pkgdir)
def compile(self):
compiled = {}
compiled['meta'] = yaml.safe_dump(self.conda_metadata, default_flow_style=False, line_break=True, indent=4)
compiled['build_linux'] = self.local_metadata['cbc_build']['linux']
#if 'windows' in self.local_metadata['']
compiled['build_windows'] = self.local_metadata['cbc_build']['windows']
return compiled
def convert_conda_fields(self, fields):
temp = OrderedDict()
for fkey, fval in fields.items():
temp[fkey] = { x: '' for x in fval}
return temp
def scrub(self, obj, force_remove=[]):
obj_c = obj.copy()
if isinstance(obj_c, dict):
for key,val in obj_c.items():
for reserved in force_remove:
if reserved in key:
del obj[reserved]
continue
if isinstance(val, dict):
val = self.scrub(val)
if val is None or val == {} or not val:
del obj[key]
return obj
def as_dict(self, config):
"""
Converts a ConfigParser object into a dictionary.
The resulting dictionary has sections as keys which point to a dict of the
sections options as key => value pairs.
"""
the_dict = {}
for section in config.sections():
the_dict[section] = {}
for key, val in config.items(section):
for cast in (int, float, bool, str):
try:
the_dict[section][key] = cast(val)
except ValueError:
pass
return the_dict
def aslist_cronly(value):
if isinstance(value, str):
value = filter(None, [x.strip() for x in value.splitlines()])
return list(value)
def aslist(value, flatten=True):
""" Return a list of strings, separating the input based on newlines
and, if flatten=True (the default), also split on spaces within
each line."""
values = aslist_cronly(value)
if not flatten:
return values
result = []
for value in values:
subvalues = value.split()
result.extend(subvalues)
return result
class CBCConfigParser(ConfigParser):
def getlist(self,section,option):
value = self.get(section,option)
return list(filter(None, (x.strip() for x in value.splitlines())))
def getlistint(self,section,option):
return [int(x) for x in self.getlist(section,option)]
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