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Merge pull request #148 from tigergraph/testing
Testing
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.gitignore

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**/.DS_Store
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.vscode/settings.json
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4-
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UDF/geographical/*
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UDF/string/*
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UDF/numerical/*
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9-
10-
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udf/numerical/*
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automdfiles.env
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algorithms/automdfiles.py
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algorithms/.env
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algorithms/lmao.py
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algorithms/automd.py
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tmp
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.pytest_cache
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__pycache__
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.env
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*.xml
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pyrightconfig.json

tests/Dockerfile

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# Use an official Python runtime as a parent image
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FROM python:3.9-slim
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# FROM ubuntu:latest
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# Set the working directory in the container
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WORKDIR /my_home
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# Copy the current directory contents into the container
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COPY ./test /my_home/test
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COPY ./requirements.txt /my_home/requirements.txt
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# COPY ./script.py /my_home/script.py
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# COPY ./hello.sh /home/hello.sh
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# Install any needed packages specified in requirements.txt
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# RUN python pip install --no-cache-dir -r /home/requirements.txt
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RUN apt update
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# RUN apt install python3 python3-pip -y
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RUN pip install --no-cache-dir -r /my_home/requirements.txt
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# RUN chmod +x hello.sh
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# Make port 80 available to the world outside this container
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EXPOSE 80
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# Define environment variable
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# ENV NAME World
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ENV LOGLEVEL="INFO"
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# run test1.py
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# CMD ["python", "test/setup.py"]
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CMD python test/setup.py; pytest --junitxml "output.xml" -n 4
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# CMD ["./hello.sh"]
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# RUN python script.py
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# CMD ["python", "/script.py"]

tests/data/baseline/get_data.py

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import os
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import boto3
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from dotenv import load_dotenv
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from tqdm import tqdm
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load_dotenv()
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pth = os.environ["PATH"]
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aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
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aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]
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s3_client = boto3.client(
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"s3",
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aws_access_key_id=aws_access_key_id,
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aws_secret_access_key=aws_secret_access_key,
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)
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def download_dir(prefix, local, bucket, client=s3_client):
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"""
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params:
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- prefix: pattern to match in s3
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- local: local path to folder in which to place files
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- bucket: s3 bucket with target contents
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- client: initialized s3 client object
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"""
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keys = []
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dirs = []
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next_token = ""
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base_kwargs = {
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"Bucket": bucket,
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"Prefix": prefix,
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}
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t = tqdm()
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while next_token is not None:
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kwargs = base_kwargs.copy()
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if next_token != "":
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kwargs.update({"ContinuationToken": next_token})
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results = client.list_objects_v2(**kwargs)
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contents = results.get("Contents")
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for i in contents:
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k = i.get("Key")
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if k[-1] != "/":
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keys.append(k)
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else:
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dirs.append(k)
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next_token = results.get("NextContinuationToken")
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t.update()
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t.close()
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for d in tqdm(dirs):
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if "graph_algorithms_baselines" in d:
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dest_pathname = os.path.join(local, d)
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if not os.path.exists(os.path.dirname(dest_pathname)):
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os.makedirs(os.path.dirname(dest_pathname))
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for k in tqdm(keys):
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if "graph_algorithms_baselines" in k:
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dest_pathname = os.path.join(local, k)
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if not os.path.exists(os.path.dirname(dest_pathname)):
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os.makedirs(os.path.dirname(dest_pathname))
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client.download_file(bucket, k, dest_pathname)
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if __name__ == "__main__":
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download_dir(
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prefix="",
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local=".",
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bucket="tigergraph-public-data",
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)
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