Python get_cross_tab_features_from_database_by_doc_idの例

コード例 #1

ファイル: app.py プロジェクト: CityUHKDB/pladetect_py

def get_stylo_csv_file():
    try:
        doc_id = int(request.args.get('doc_id'))
    except ValueError:
        abort(403)

    header_row = ['author id', 'document id', 'paragraph id'] + ['feature ' + str(i) for i in range(1, 57)]
    data_list = data_warehouse.get_cross_tab_features_from_database_by_doc_id(doc_id)

    string_io = StringIO()
    cw = csv.writer(string_io)
    cw.writerow(header_row)

    for row in data_list:
        cw.writerow(row)

    output = make_response(string_io.getvalue())
    output.headers['Content-type'] = 'application/csv'
    output.headers['Content-Disposition'] = 'attachment;filename=doc_{}.csv'.format(doc_id)
    return output

コード例 #2

ファイル: app.py プロジェクト: songponssw/authorshipIdentification_py

def get_stylo_csv_file():
    try:
        doc_id = int(request.args.get('doc_id'))
    except ValueError:
        abort(403)

    header_row = ['author id', 'document id', 'paragraph id'] + ['feature ' + str(i) for i in range(1, 57)]
    data_list = data_warehouse.get_cross_tab_features_from_database_by_doc_id(doc_id)

    string_io = StringIO()
    cw = csv.writer(string_io)
    cw.writerow(header_row)

    for row in data_list:
        cw.writerow(row)

    output = make_response(string_io.getvalue())
    output.headers['Content-type'] = 'application/csv'
    output.headers['Content-Disposition'] = 'attachment;filename=doc_{}.csv'.format(doc_id)
    return output

コード例 #3

def fomulate_set_paragraphes(author_id, set_size):
    document_list = data_warehouse.get_docs_from_database_document_by_author_id(author_id)
    paragraph_list = [data_warehouse.get_cross_tab_features_from_database_by_doc_id(idx) for idx in document_list]

    for idx in range(0, len(paragraph_list), set_size):
        yield paragraph_list[idx:idx + set_size]

コード例 #4

from csv_exportation import data_to_csv
from data_analysis import data_warehouse

header_row = ['author id', 'document id', 'paragraph id'] + ['feature ' + str(i) for i in range(1, 57)]

documents = [item['doc_id'] for item in data_warehouse.get_doc_ids_from_database_fact()]
data_list = []

for doc_id in documents:
    data_list.extend(data_warehouse.get_cross_tab_features_from_database_by_doc_id(doc_id))

data_to_csv.write_csvfile_output('stylo_features.csv', header_row, data_list)

コード例 #5

from csv_exportation import data_to_csv
from data_analysis import data_warehouse

header_row = ['author id', 'document id', 'paragraph id'] + ['feature ' + str(i) for i in range(1, 57)]
data_list = data_warehouse.get_cross_tab_features_from_database_by_doc_id(2)
data_to_csv.write_csvfile_output('output.csv', header_row, data_list)