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cldfbench_magram.py
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import pathlib
from clldutils.misc import slug
from cldfbench import Dataset as BaseDataset, CLDFSpec
def make_row_id(row):
return '{}-{}-{}-{}'.format(
row['Code'],
slug(row['Source:Form']),
slug(row['Target:Form']),
slug(row['Target:Meaning_simplified']))
def make_language_id(row):
return slug(row['Language'])
def make_contrib_id(row):
return slug(row['Subset'])
def make_example(row):
row_id = make_row_id(row)
analysed = row['Example:Material'].replace(' \u0301', '\u0301')
analysed = analysed.strip().split()
gloss = row['Example:Glossing'].strip().split()
if len(analysed) != len(gloss):
print('{} - {}'.format(row_id, row['Example:Material']))
print('\t'.join(analysed))
print('\t'.join(gloss))
print('')
return {
'ID': row_id,
'Language_ID': make_language_id(row),
'Primary_Text': row['Example:Material'].strip(),
'Analyzed_Word': row['Example:Material'].strip().split(),
'Gloss': row['Example:Glossing'].strip().split(),
'Translated_Text': row['Example:Translation'],
# FIXME: 'Example:Reference'
}
class Dataset(BaseDataset):
dir = pathlib.Path(__file__).parent
id = "magram"
def cldf_specs(self): # A dataset must declare all CLDF sets it creates.
return {
None: CLDFSpec(
dir=self.cldf_dir,
module='Wordlist',
data_fnames={'ParameterTable': 'concepts.csv'}),
'crossgram': CLDFSpec(
dir=self.cldf_dir,
module='StructureDataset',
metadata_fname='CrossGram-metadata.csv',
data_fnames={'ParameterTable': 'crossgram-parameters.csv'}),
}
def cmd_download(self, args):
pass
def cmd_makecldf(self, args):
raw_data = self.raw_dir.read_csv('MAGRAM_database.csv', dicts=True)
raw_data.sort(key=lambda row: make_language_id(row))
crossgram_parameters = {
row['Original_Column_Name']: row
for row in self.etc_dir.read_csv('parameters.csv', dicts=True)}
language_table = {}
for row in raw_data:
if (language_id := make_language_id(row)) not in language_table:
language_table[language_id] = {
'ID': language_id,
'Name': row['Language'],
'Glottocode': row['Glottocode'],
}
contribution_table = {}
for row in raw_data:
if (contrib_id := make_contrib_id(row)) not in contribution_table:
contribution_table[contrib_id] = {
'ID': contrib_id,
'Name': row['Subset'],
}
concept_table = {}
for row in raw_data:
target_id = slug(row['Target:Meaning_simplified'])
if target_id not in concept_table:
concept_table[target_id] = {
'ID': target_id,
'Name': row['Target:Meaning_simplified'],
}
source_id = slug(row['Source:Meaning_simplified'])
if source_id not in concept_table:
concept_table[source_id] = {
'ID': source_id,
'Name': row['Source:Meaning_simplified'],
}
example_table = list(map(make_example, raw_data))
form_table = []
for row in raw_data:
row_id = make_row_id(row)
language_id = make_language_id(row)
form_table.append({
'ID': '{}-s'.format(row_id),
'Form': row['Source:Form'],
'Language_ID': language_id,
'Parameter_ID': slug(row['Source:Meaning_simplified'])})
form_table.append({
'ID': '{}-t'.format(row_id),
'Form': row['Target:Form'],
'Language_ID': language_id,
'Parameter_ID': slug(row['Target:Meaning_simplified'])})
path_table = [
{
'ID': (row_id := make_row_id(row)),
'Source_Form_ID': '{}-s'.format(row_id),
'Target_Form_ID': '{}-t'.format(row_id),
'Subset': make_contrib_id(row),
'Example_ID': row_id,
}
for row in raw_data]
constructions = [
{
'ID': row_no,
'Language_ID': make_language_id(row),
'Name': row['Target:Form'],
'Description': row['Target:Meaning'],
}
for row_no, row in enumerate(raw_data, 1)]
cvalues = []
for row_no, row in enumerate(raw_data, 1):
for col_name, parameter in crossgram_parameters.items():
value = row[col_name]
if not value:
continue
cvalue = {
'ID': '{}-{}'.format(row_no, parameter['ID']),
'Construction_ID': row_no,
'Parameter_ID': parameter['ID'],
'Value': value,
}
if parameter['ID'] == 'source-form':
cvalue['Comment'] = row['Source:Meaning']
cvalue['Example_IDs'] = [make_row_id(row)]
cvalues.append(cvalue)
with self.cldf_writer(args) as writer:
writer.cldf.add_component('LanguageTable')
writer.cldf.add_component('ContributionTable')
writer.cldf.add_component('ExampleTable')
writer.cldf.add_columns('FormTable', 'Type')
writer.cldf.add_table(
'paths.csv',
{
"name": "ID",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#id",
},
{
"name": "Source_Form_ID",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#sourceFormReference",
},
{
"name": "Target_Form_ID",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#targetFormReference",
},
{
"name": "Subset",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#contributionReference",
},
{
"name": "Example_ID",
"propertyUrl": "http://cldf.clld.org/v1.0/terms.rdf#exampleReference",
},
)
writer.objects['LanguageTable'] = language_table.values()
writer.objects['ParameterTable'] = concept_table.values()
writer.objects['ContributionTable'] = contribution_table.values()
writer.objects['ExampleTable'] = example_table
writer.objects['FormTable'] = form_table
writer.objects['paths.csv'] = path_table
with self.cldf_writer(args, cldf_spec='crossgram', clean=False) as writer:
writer.cldf.add_component('LanguageTable')
writer.cldf.add_component('ExampleTable')
writer.cldf.add_table(
'constructions.csv',
'http://cldf.clld.org/v1.0/terms.rdf#id',
'http://cldf.clld.org/v1.0/terms.rdf#languageReference',
'http://cldf.clld.org/v1.0/terms.rdf#name',
'http://cldf.clld.org/v1.0/terms.rdf#description')
writer.cldf.add_table(
'cvalues.csv',
'http://cldf.clld.org/v1.0/terms.rdf#id',
{
'datatype': {'base': 'string', 'format': '[a-zA-Z0-9_\\-]+'},
'required': True,
'name': 'Construction_ID',
},
'http://cldf.clld.org/v1.0/terms.rdf#parameterReference',
'http://cldf.clld.org/v1.0/terms.rdf#codeReference',
{
'datatype': {'base': 'string', 'format': '[a-zA-Z0-9_\\-]+'},
'propertyUrl': 'http://cldf.clld.org/v1.0/terms.rdf#exampleReference',
'separator': ';',
'name': 'Example_IDs',
},
'http://cldf.clld.org/v1.0/terms.rdf#source',
'http://cldf.clld.org/v1.0/terms.rdf#value')
writer.cldf.add_foreign_key(
'cvalues.csv', 'Construction_ID', 'constructions.csv', 'ID')
writer.objects['constructions.csv'] = constructions
writer.objects['ParameterTable'] = crossgram_parameters.values()
writer.objects['cvalues.csv'] = cvalues
writer.objects['ValueTable'] = []