mirror of https://github.com/tdwg/dwc.git
326 lines
12 KiB
Python
326 lines
12 KiB
Python
#
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# Author: S. Van Hoey
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# Contributors: John Wieczorek
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#
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# Build script for tdwg dwc handling
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#
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__version__ = '2021-07-30T-03:00'
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import io
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import os
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import re
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import csv
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import sys
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import codecs
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from urllib import request
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from jinja2 import FileSystemLoader, Environment
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NAMESPACES = {
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'http://rs.tdwg.org/dwc/iri/' : 'dwciri',
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'http://rs.tdwg.org/dwc/terms/' : 'dwc',
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'http://rs.tdwg.org/chrono/terms/' : 'chrono',
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'http://purl.org/dc/elements/1.1/' : 'dc',
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'http://purl.org/dc/terms/' : 'dcterms',
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'http://rs.tdwg.org/dwc/terms/attributes/' : 'tdwgutility'}
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class ProvidedTermsError(Exception):
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"""inconsistency in the available terms Error"""
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pass
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class RdfTypeError(Exception):
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"""rdftype encountered that is not known by builder"""
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pass
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class DwcNamespaceError(Exception):
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"""Namespace link is not available in the currently provided links"""
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pass
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class DwcBuildReader():
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def __init__(self, dwc_build_file):
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"""Custom Reader switching between raw Github or local file"""
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self.dwc_build_file = dwc_build_file
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def __enter__(self):
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if "https://raw.github" in self.dwc_build_file:
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self.open_dwc_term = request.urlopen(self.dwc_build_file)
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else:
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self.open_dwc_term = open(self.dwc_build_file, 'rb')
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return self.open_dwc_term
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def __exit__(self, *args):
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self.open_dwc_term.close()
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class DwcDigester(object):
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def __init__(self, term_versions):
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"""Digest the term document of Darwin Core to support automatic
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generation of derivatives
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Parameters
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-----------
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term_versions : str
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Either a relative path and filename of the normative Dwc document
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or a URL link to the raw Github version of the file
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Notes
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-----
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Remark that the sequence of the term versions entries is
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essential for the automatic generation of the individual documents
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(mainly the index.html)
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"""
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self.term_versions = term_versions
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self.term_versions_data = {}
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self._store_versions()
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# create the defined data-object for the different outputs
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self.template_data = self.process_terms()
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def versions(self):
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"""Iterator providing the terms as represented in the normative term
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versions file
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"""
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with DwcBuildReader(self.term_versions) as versions:
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for vterm in csv.DictReader(io.TextIOWrapper(versions), delimiter=','):
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if vterm["status"] == "recommended":
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yield vterm
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def _store_versions(self):
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"""Collect all the versions data in a dictionary as the
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term_versions_data attribute
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"""
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for term in self.versions():
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self.term_versions_data[term["term_iri"]] = term
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@property
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def _version_terms(self):
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"""Get an overview of the terms in the term_versions file
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"""
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return set(self.term_versions_data.keys())
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def _select_versions_term(self, term_iri):
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"""Select a specific term of the versions data, using term_iri match
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"""
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return self.term_versions_data[term_iri]
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@staticmethod
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def split_iri(term_iri):
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"""Split an iri field into the namespace url and the local name
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of the term
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"""
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prog = re.compile("(.*/)([^/]*$)")
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namespace, local_name = prog.findall(term_iri)[0]
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return namespace, local_name
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@staticmethod
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def resolve_namespace_abbrev(namespace):
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"""Using the NAMESPACE constant, get the namespace abbreviation by
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providing the namespace link
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Parameters
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-----------
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namespace : str
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valid key of the NAMESPACES variable
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"""
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if namespace not in NAMESPACES.keys():
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raise DwcNamespaceError("The namespace url is currently not supported in NAMESPACES")
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return NAMESPACES[namespace]
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def get_term_definition(self, term_iri):
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"""Extract the required information from the terms table to show on
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the webpage of a single term by using the term_iri as the identifier
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Notes
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------
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Due to the current implementation, make sure to provide the same keys
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represented in the record-level specific version `process_terms`
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method (room for improvement)
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"""
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vs_term = self._select_versions_term(term_iri)
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term_data = {}
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term_data["label"] = vs_term['term_localName'] # See https://github.com/tdwg/dwc/issues/253#issuecomment-670098202
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term_data["iri"] = term_iri
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term_data["class"] = vs_term['organized_in']
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term_data["definition"] = self.convert_link(vs_term['definition'])
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term_data["comments"] = self.convert_link(self.convert_code(vs_term['comments']))
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term_data["examples"] = self.convert_link(self.convert_code(vs_term['examples']))
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term_data["rdf_type"] = vs_term['rdf_type']
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namespace_url, _ = self.split_iri(term_iri)
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term_data["namespace"] = self.resolve_namespace_abbrev(namespace_url)
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return term_data
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@staticmethod
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def convert_code(text_with_backticks):
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"""Takes all back-quoted sections in a text field and converts it to
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the html tagged version of code blocks <code>...</code>
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"""
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return re.sub(r'`([^`]*)`', r'<code>\1</code>', text_with_backticks)
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@staticmethod
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def convert_link(text_with_urls):
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"""Takes all links in a text field and converts it to the html tagged
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version of the link
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"""
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def _handle_matched(inputstring):
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"""quick hack version of url handling on the current prime versions data"""
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url = inputstring.group()
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return "<a href=\"{}\">{}</a>".format(url, url)
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regx = "(http[s]?://[\w\d:#@%/;$()~_?\+-;=\\\.&]*)(?<![\)\.,])"
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return re.sub(regx, _handle_matched, text_with_urls)
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def process_terms(self):
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"""Parse the config terms (sequence matters!)
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Collect all required data from both the normative versions file and
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the config file and return the template ready data.
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Returns
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-------
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Data object that can be digested by the html-template file. Contains
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the term data formatted to create the indidivual outputs, each list
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element is a dictionary representing a class group. Hence, the data
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object is structured as follows:
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[
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{'name' : class_group_name_1, 'label': xxxx,...,
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'terms':
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[
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{'name' : term_1, 'label': xxxx,...},
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{'name' : term_2, 'label': xxxx,...},
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...
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]}
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{'name' : class_group_name_2,...
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...},
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...
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]
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"""
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template_data = []
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in_class = "Record-level"
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# sequence matters in config and it starts with Record-level which we populate here ad-hoc
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class_group = {}
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class_group["label"] = "Record-level"
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class_group["iri"] = None
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class_group["class"] = None
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class_group["definition"] = None
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class_group["comments"] = None
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class_group["rdf_type"] = None
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class_group["terms"] = []
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class_group["namespace"] = None
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addedUseWithIRI = False
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for term in self.versions(): # sequence of the terms file used as order
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term_data = self.get_term_definition(term['term_iri'])
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test = term['term_iri']
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if term_data["rdf_type"] == "http://www.w3.org/2000/01/rdf-schema#Class":
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# new class encountered
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# store previous section in template_data
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template_data.append(class_group)
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#start new class group
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class_group = term_data
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class_group["terms"] = []
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in_class = term_data["label"] # check on the class working in
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elif term['term_iri']=='http://purl.org/dc/terms/language':
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# Vulnerable to ordering terms in term_versions.csv, but...
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# This is the first row of dwciri terms
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# store previous section in template_data
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template_data.append(class_group)
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#start a class group for UseWithIRI
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class_group = {"label":"UseWithIRI"}
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class_group["terms"] = []
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in_class = "UseWithIRI" # check on the class working in
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addedUseWithIRI = True
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class_group['terms'].append(term_data)
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else:
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class_group['terms'].append(term_data)
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# save the last class to template_data
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template_data.append(class_group)
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return template_data
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def create_html(self, html_template="terms.tmpl",
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html_output="../docs/terms/index.md"):
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"""build html with the processed term info, by filling in the
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tmpl-template
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Parameters
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-----------
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html_template : str
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relative path and filename to the Jinja2 compatible
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template
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html_output : str
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relative path and filename to write the resulting index.html
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"""
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data = {}
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data["class_groups"] = self.template_data
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env = Environment(
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loader = FileSystemLoader(os.path.dirname(html_template)),
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trim_blocks = True
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)
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template = env.get_template(os.path.basename(html_template))
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html = template.render(data)
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index_page = open(html_output, "w")
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index_page.write(str(html))
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index_page.close()
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def simple_dwc_terms(self):
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"""Only extract those terms that are simple dwc, defined as `simple`
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in the flags column of the config file of terms
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"""
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properties = []
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for term in self.versions():
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term_data = self.get_term_definition(term['term_iri'])
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if (term_data["rdf_type"] == "http://www.w3.org/1999/02/22-rdf-syntax-ns#Property" and
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term["flags"] == "simple"):
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properties.append(term_data["label"])
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return properties
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def create_dwc_list(self, file_output="../dist/simple_dwc_vertical.csv"):
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"""Build a list of simple dwc terms and write it to file
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Parameters
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-----------
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file_output : str
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relative path and filename to write the resulting list
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"""
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with codecs.open(file_output, 'w', 'utf-8') as dwc_list_file:
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for term in self.simple_dwc_terms():
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dwc_list_file.write(term + "\n")
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def create_dwc_header(self, file_output="../dist/simple_dwc_horizontal.csv"):
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"""Build a header of simple dwc terms and write it to file
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Parameters
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-----------
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file_output : str
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relative path and filename to write the resulting list
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"""
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with codecs.open(file_output, 'w', 'utf-8') as dwc_header_file:
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properties = self.simple_dwc_terms()
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dwc_header_file.write(",".join(properties))
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dwc_header_file.write("\n")
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def main():
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"""Building up the Quick Reference Guide html and derivatives"""
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term_versions_file = "../vocabulary/term_versions.csv"
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print("Running build process:")
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my_dwc = DwcDigester(term_versions_file)
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print("Building Quick Reference Guide")
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my_dwc.create_html()
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print("Building simple DwC CSV files")
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my_dwc.create_dwc_list()
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my_dwc.create_dwc_header()
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print("Done!")
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if __name__ == "__main__":
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sys.exit(main())
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