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test_iex_dataset_extraction.py
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"""
Test file for:
IEX Extract Data
"""
from analysis_engine.mocks.base_test import BaseTestCase
from analysis_engine.consts import TICKER
from analysis_engine.consts import SUCCESS
from analysis_engine.consts import ev
from analysis_engine.consts import get_status
from analysis_engine.api_requests \
import get_ds_dict
from analysis_engine.iex.extract_df_from_redis \
import extract_daily_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_minute_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_quote_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_stats_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_peers_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_news_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_financials_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_earnings_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_dividends_dataset
from analysis_engine.iex.extract_df_from_redis \
import extract_company_dataset
from spylunking.log.setup_logging import build_colorized_logger
log = build_colorized_logger(
name=__name__)
class TestIEXDatasetExtraction(BaseTestCase):
"""TestIEXDatasetExtraction"""
def setUp(self):
"""setUp"""
self.ticker = TICKER
# end of setUp
"""
Integration Tests
Please ensure redis and minio are running and run this:
::
export INT_TESTS=1
"""
def debug_df(
self,
df):
"""debug_df
:param df: ``pandas.DataFrame`` from a fetch
"""
print('-----------------------------------')
print(f'dataframe: {df}')
print('')
print(f'dataframe columns:\n{df.columns.values}')
print('-----------------------------------')
# end of debug_df
def _check(self, df, status, label, work):
if status == SUCCESS:
self.assertIsNotNone(
df)
self.debug_df(df=df)
else:
log.critical(
f'{label} is missing in redis for ticker={work["ticker"]} '
f'status={get_status(status=status)}')
def test_integration_extract_daily_dataset(self):
"""test_integration_extract_daily_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX daily dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_daily_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_daily_dataset
def test_integration_extract_minute_dataset(self):
"""test_integration_extract_minute_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX minute dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_minute_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_minute_dataset
def test_integration_extract_quote_dataset(self):
"""test_integration_extract_quote_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX quote dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_quote_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_quote_dataset
def test_integration_extract_stats_dataset(self):
"""test_integration_extract_stats_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX stats dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_stats_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_stats_dataset
def test_integration_extract_peers_dataset(self):
"""test_integration_extract_peers_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX peers dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_peers_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_peers_dataset
def test_integration_extract_news_dataset(self):
"""test_integration_extract_news_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX news dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_news_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_news_dataset
def test_integration_extract_financials_dataset(self):
"""test_integration_extract_financials_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX financials dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_financials_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_financials_dataset
def test_integration_extract_earnings_dataset(self):
"""test_integration_extract_earnings_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX earnings dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_earnings_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_earnings_dataset
def test_integration_extract_dividends_dataset(self):
"""test_integration_extract_dividends_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX dividends dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_dividends_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_dividends_dataset
def test_integration_extract_company_dataset(self):
"""test_integration_extract_company_dataset"""
if ev('INT_TESTS', '0') == '0':
return
ticker = 'NFLX'
label = 'IEX company dataset'
# build dataset cache dictionary
work = get_ds_dict(
ticker=ticker,
label=label)
status, df = extract_company_dataset(
work_dict=work)
self._check(df=df, status=status, label=label, work=work)
# end of test_integration_extract_company_dataset
# end of TestIEXDatasetExtraction