'''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 yaml from configparser import SafeConfigParser, ExtendedInterpolation from collections import OrderedDict from .environment import Environment class SpecError(Exception): pass class Spec(object): def __init__(self, filename, env): if not os.path.exists(filename): raise OSError('"{0}" does not exist.'.format(filename)); self.filename = filename if not isinstance(env, Environment): raise SpecError('Expecting instance of cbc.environment.Environment, got: "{0}"'.format(type(env))) self.env = env self.keywords = ['build_ext', 'cgi'] self.fields = self.convert_conda_fields(conda_build.metadata.FIELDS) self.config = SafeConfigParser(interpolation=ExtendedInterpolation(), allow_no_value=True) # Include built-in Conda metadata fields self.config.read_dict(self.fields) # Include user-defined build fields self.config.read(self.filename) # Convert ConfigParser -> dict self.spec = self.as_dict(self.config) self.spec_metadata = {} for keyword in self.keywords: if self.spec[keyword]: self.spec_metadata[keyword] = self.spec[keyword] # Convert dict to YAML-compatible dict self.conda_metadata = self.scrub(self.spec, self.keywords) def conda_write_meta(self): with open(os.path.join(self.env.config['meta']), 'w+') as metafile: yaml.safe_dump(self.conda_metadata, metafile, default_flow_style=False, line_break=True, indent=4) 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