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Refactor to incorporate tests

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Stephen Dodson 2019-06-13 11:51:47 +00:00
parent ded86d0b5d
commit 5b9a6b3d63
14 changed files with 303 additions and 176 deletions
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# Compiled python modules.
*.pyc
# Setuptools distribution folder.
/dist/
# Python egg metadata, regenerated from source files by setuptools.
/*.egg-info
# PyCharm files
.idea/
# pytest files
.pytest_cache/1

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MANIFEST.in Normal file
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include README.rst

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README.md → README.rst
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eland/DataFrame.py
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@ -12,6 +12,10 @@ class DataFrame():
self.index_pattern = index_pattern
self.client.indices().exists(index_pattern)
@staticmethod
def _flatten_results(prefix, results, result):
# TODO
@staticmethod
def _es_results_to_pandas(results):

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from setuptools import setup
def readme():
with open('README.rst') as f:
return f.read()
setup(name='eland',
version='0.1',
description='Python elasticsearch client to analyse, explore and manipulate data that resides in elasticsearch',
url='http://github.com/elastic/eland',
author='Stephen Dodson',
author_email='sjd171@gmail.com',
license='ELASTIC LICENSE',
packages=['eland'],
install_requires=[
'elasticsearch',
'elasticsearch_dsl',
'pandas'
],
zip_safe=False)

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test.py
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import eland as ed
df = ed.read_es('localhost', 'kibana_sample_data_flights')
print(df.head())
print(df.describe())

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tests/__init__.py Normal file
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tests/dataframe/__init__.py Normal file
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tests/dataframe/common.py Normal file
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import eland as ed
import pandas as pd
# Create pandas and eland data frames
_pd_df = pd.read_json('flights.json.gz', lines=True)
_ed_df = ed.read_es('localhost', 'flights')
class TestData:
def pandas_frame(self):
return _pd_df
def eland_frame(self):
return _ed_df

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tests/dataframe/test_indexing.py Normal file
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import pytest
import eland as ed
from eland.tests.dataframe.common import TestData
from pandas.util.testing import (
assert_almost_equal, assert_frame_equal, assert_series_equal)
class TestDataFrameIndexing(TestData):
def test_head(self):
pd_head = self.pd_df.head()
ed_head = self.ed_df.head()
assert_frame_equal(pd_head, ed_head)

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flights.json.gz → tests/flights.json.gz
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tests/index_flights.py Normal file
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import pandas as pd
from elasticsearch import Elasticsearch
from elasticsearch import helpers
if __name__ == '__main__':
# Read json file and index records into Elasticsearch
json_file_name = 'flights.json.gz'
index_name = 'flights'
# Create connection to Elasticsearch - use defaults1
es = Elasticsearch()
# Delete index
print("Deleting index:", index_name)
es.indices.delete(index=index_name, ignore=[400, 404])
df = pd.read_json(json_file_name, lines=True)
actions = []
n = 0
print("Adding", df.shape[0], "items to index:", index_name)
for index, row in df.iterrows():
action = {"_index": index_name, '_source': row.to_dict()}
actions.append(action)
n = n + 1
if n % 10000 == 0:
helpers.bulk(es, actions)
actions = []
helpers.bulk(es, actions)
actions = []
print("Done", es.cat.indices(index_name))

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test.ipynb → tests/test.ipynb
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