def test_scraper_with_empty_table(self):
url = "http://www.bcra.gov.ar/PublicacionesEstadisticas/libor.asp"
rates = {
"30": "libor_30_dias",
"60": "libor_60_dias",
"90": "libor_90_dias",
"180": "libor_180_dias",
"360": "libor_360_dias"
}
content = '''
<table class="table table-BCRA table-bordered table-hover
table-responsive">
<thead>
<tr><th>No existen registros</th></tr>
</thead>
</table>
'''
scraper = BCRALiborScraper(url, rates, False)
result = scraper.parse_day_content(content)
assert result == {}
def test_scraper_with_valid_table(self):
url = "http://www.bcra.gov.ar/PublicacionesEstadisticas/libor.asp"
rates = {
"30": "libor_30_dias",
"60": "libor_60_dias",
"90": "libor_90_dias",
"180": "libor_180_dias",
"360": "libor_360_dias"
}
content = '''
<table class="table table-BCRA table-bordered table-hover
table-responsive">
<thead>
<tr>
<th colspan="2"
align="left">Tasa LIBOR al: 15/03/2019</th>
</tr>
<tr>
<th>Plazo en días</th>
<th>Tasa (T.N.A. %)</th>
</tr>
</thead>
<tbody>
<tr>
<td>30</td>
<td>2,481750</td>
</tr>
<tr>
<td>60</td>
<td>2,558380</td>
</tr>
<tr>
<td>90</td>
<td>2,625250</td>
</tr>
<tr>
<td>180</td>
<td>2,671750</td>
</tr>
<tr>
<td>360</td>
<td>2,840500</td>
</tr>
</tbody>
</table>
'''
scraper = BCRALiborScraper(url, rates, False)
result = scraper.parse_day_content(content)
assert result.get('indice_tiempo') == '2019-03-15'
assert result.get('30') == '2,481750'
assert result.get('60') == '2,558380'
assert result.get('90') == '2,625250'
assert result.get('180') == '2,671750'
assert result.get('360') == '2,840500'
def test_scraper_with_empty_table(self):
single_date = datetime(2019, 4, 24)
url = "http://www.bcra.gov.ar/PublicacionesEstadisticas/libor.asp"
rates = {
"30": "libor_30_dias",
"60": "libor_60_dias",
"90": "libor_90_dias",
"180": "libor_180_dias",
"360": "libor_360_dias"
}
content = '''
<table class="table table-BCRA table-bordered table-hover
table-responsive">
<thead>
<tr><th>No existen registros</th></tr>
</thead>
</table>
'''
scraper = BCRALiborScraper(url,
rates,
intermediate_panel_path=None,
use_intermediate_panel=False)
result = scraper.parse_day_content(single_date, content)
assert result == {
'360': '',
'180': '',
'90': '',
'60': '',
'30': '',
'indice_tiempo': datetime(2019, 4, 24, 0, 0)
}