84 lines
2.3 KiB
Python
84 lines
2.3 KiB
Python
import os
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import pytest
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import pandas._testing as tm
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from pandas.io.parsers import read_csv
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@pytest.fixture
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def tips_file(datapath):
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"""Path to the tips dataset"""
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return datapath("io", "parser", "data", "tips.csv")
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@pytest.fixture
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def jsonl_file(datapath):
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"""Path a JSONL dataset"""
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return datapath("io", "parser", "data", "items.jsonl")
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@pytest.fixture
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def salaries_table(datapath):
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"""DataFrame with the salaries dataset"""
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return read_csv(datapath("io", "parser", "data", "salaries.csv"), sep="\t")
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@pytest.fixture
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def s3_resource(tips_file, jsonl_file):
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"""Fixture for mocking S3 interaction.
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The primary bucket name is "pandas-test". The following datasets
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are loaded.
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- tips.csv
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- tips.csv.gz
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- tips.csv.bz2
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- items.jsonl
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A private bucket "cant_get_it" is also created. The boto3 s3 resource
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is yielded by the fixture.
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"""
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s3fs = pytest.importorskip("s3fs")
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boto3 = pytest.importorskip("boto3")
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with tm.ensure_safe_environment_variables():
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# temporary workaround as moto fails for botocore >= 1.11 otherwise,
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# see https://github.com/spulec/moto/issues/1924 & 1952
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os.environ.setdefault("AWS_ACCESS_KEY_ID", "foobar_key")
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os.environ.setdefault("AWS_SECRET_ACCESS_KEY", "foobar_secret")
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moto = pytest.importorskip("moto")
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test_s3_files = [
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("tips#1.csv", tips_file),
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("tips.csv", tips_file),
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("tips.csv.gz", tips_file + ".gz"),
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("tips.csv.bz2", tips_file + ".bz2"),
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("items.jsonl", jsonl_file),
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]
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def add_tips_files(bucket_name):
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for s3_key, file_name in test_s3_files:
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with open(file_name, "rb") as f:
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conn.Bucket(bucket_name).put_object(Key=s3_key, Body=f)
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try:
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s3 = moto.mock_s3()
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s3.start()
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# see gh-16135
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bucket = "pandas-test"
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conn = boto3.resource("s3", region_name="us-east-1")
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conn.create_bucket(Bucket=bucket)
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add_tips_files(bucket)
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conn.create_bucket(Bucket="cant_get_it", ACL="private")
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add_tips_files("cant_get_it")
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s3fs.S3FileSystem.clear_instance_cache()
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yield conn
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finally:
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s3.stop()
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