How to use the habanero.cn function in habanero

def test_content_negotiation():
    "content negotiation - default - bibtex"
    res = cn.content_negotiation(ids = '10.1126/science.169.3946.635')
    assert str == str(res).__class__

if __name__=='__main__':

    doi='10.1126/science.169.3946.635'
    doi='10.1175/1520-0477(2001)082<1377:IOGPPT>2.3.CO;2k'
    doi='10.1029/2002JD002499'
    doi='10.1175/1525-7541(2003)004<1147:tvgpcp>2.0.co;2'

    aa=cn.content_negotiation(ids = doi, format = "bibentry")
    cr=Crossref(mailto='xugzhi1987@gmail.com')
    works=cr.works(ids=doi)
    pprint(works)

    bb=crossRefToMetaDict(works['message'])
    print(bb)

    '''
    eti=Etiquette('MeiTing-Trunk', 'v0.1alpha', 'not published yet',
            'xugzhi1987@gmail.com')
    print(str(eti))
    works=Works(etiquette=eti)
    #aa=works.doi('10.1590/0102-311x00133115')
    aa=works.doi(doi)
    pprint(aa)

def test_content_negotiation_style():
    "content negotiation - style"
    res_apa = cn.content_negotiation(ids = u'10.1126/science.169.3946.635', format = "text", style = "apa")
    res_ieee = cn.content_negotiation(ids = u'10.1126/science.169.3946.635', format = "text", style = "ieee")
    assert res_apa != res_ieee

if link and 'doi.org' in link:
            doi = urlparse(link).path.strip('/')

        # Extract the DOI using the title
        else:
            results = cr.works(query_title=title, limit=1)
            if results['message']['total-results'] == 0 or \
                    results['message']['items'][0]['title'][0].lower() != title.lower():
                log.warn(f'Could not find the doi for "{title}"')

                continue

            doi = results['message']['items'][0]['DOI']

        try:
            reference = cn.content_negotiation(doi)
            lines.append(reference)
            references.append(re.sub('^@.*{', '', reference.split('\n')[0]).strip(','))
        except HTTPError:
            log.warn(f'Could not Create reference for "{title}"')

    with open(os.path.join(output_dir, 'references.bib'), 'w') as f:
        f.write('\n\n'.join(lines))

    return references

# Extract the DOI using the title
        else:
            results = cr.works(query_bibliographic=title, limit=1)
            if (
                results["message"]["total-results"] == 0
                or results["message"]["items"][0]["title"][0].lower() != title.lower()
            ):
                log.warn(f'Could not find the doi for "{title}"')

                continue

            doi = results["message"]["items"][0]["DOI"]

        try:
            reference = cn.content_negotiation(doi)
            lines.append(reference)
            references.append(re.sub("^@.*{", "", reference.split("\n")[0]).strip(","))
        except HTTPError:
            log.warn(f'Could not Create reference for "{title}"')

    with open(os.path.join(output_dir, "references.bib"), "w") as f:
        f.write("\n\n".join(lines))

    return references

def batch_doi2pmid(dois):
    """
    resolve article PMID from DOI by feeding article citation to PubMed advanced search
    @param dois: list of DOIs to resolve
    @return: list of corresponding PMIDs
    """
    citations = []
    for doi in dois:
        if doi[-1] == '.':
            doi = doi[:-1]
        try:
            # what if one fails?!
            cit = cn.content_negotiation(ids=doi, format="citeproc-json")
            if isinstance(cit, list):
                for c in cit:
                    citations.append(c)
            else:
                citations.append(cit)
        except Exception as e:
            print e
            continue
    parsed_citations = []
    for x in citations:
        try:
            cit = json.loads(x)
        except TypeError as e:
            print e
            continue
        parsed_cit = {}

def load_records(self, DOIs=None):
        """Load all crossref items as valid records"""

        records = cn.content_negotiation(ids=DOIs, format="citeproc-json")
        # Records might be a str or unicode (python 2)
        if not isinstance(records, list):
            records = [records]
        self.records = []
        for r in records:
            data = json.loads(r)
            try:
                record = self.to_record(data)
            except Exception:
                e, v, tb = sys.exc_info()
                msg = _(
                    "An error occured while loading the following DOI: {}. "
                    "Check logs for details."
                ).format(data.get("DOI"))
                logger.error("{}, error: {} [{}], data: {}".format(msg, e, v, data))
                raise DOILoaderError(msg)

if item['score'] < best_item['score']:
            break
        else:
            best_item = pick_best(title, best_item, item)

    # Retrieve DOI and json item
    doi = best_item['DOI']
    res_json = best_item

    # If the entry is invalid, return a score of 0
    if 'author' not in res_json or not res_json['title']:
        print_score(0)
        return (None, res_json, 0)

    # Retrieve metadata as bibtex entry
    res_bib = cn.content_negotiation(ids=doi, format="bibentry")
    res_bib = re.sub('ä', 'ä', res_bib)
    res_bib = re.sub('Ö', 'Ö', res_bib)
    res_bib = re.sub('รถ', 'ö', res_bib)
    res_bib = re.sub('Ăź', 'ü', res_bib)
    res_bib = re.sub('̈o', 'ö', res_bib)
    res_bib = re.sub('ďż˝', 'ø', res_bib)
    res_bib = re.sub('ĂŤ', 'ë', res_bib)
    db = bibtexparser.loads(res_bib)
    assert len(db.entries) == 1
    res_bib = db.entries[0]

    # If article has subtitle(s), fix bibtex entry
    subtitles = None
    if 'subtitle' in res_json:
        subtitles = [x for x in res_json['subtitle'] if not str.isupper(x)]