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Merge pull request #148 from tigergraph/testing
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Testing
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RobRossmiller-TG authored May 13, 2024
2 parents ccd260f + 599758b commit ce724c0
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13 changes: 7 additions & 6 deletions .gitignore
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**/.DS_Store
.vscode/settings.json


UDF/geographical/*
UDF/string/*
UDF/numerical/*



udf/numerical/*
automdfiles.env
algorithms/automdfiles.py
algorithms/.env
algorithms/lmao.py
algorithms/automd.py
tmp
.pytest_cache
__pycache__
.env
*.xml
pyrightconfig.json
33 changes: 33 additions & 0 deletions tests/Dockerfile
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# Use an official Python runtime as a parent image
FROM python:3.9-slim
# FROM ubuntu:latest

# Set the working directory in the container
WORKDIR /my_home

# Copy the current directory contents into the container
COPY ./test /my_home/test
COPY ./requirements.txt /my_home/requirements.txt
# COPY ./script.py /my_home/script.py
# COPY ./hello.sh /home/hello.sh

# Install any needed packages specified in requirements.txt
# RUN python pip install --no-cache-dir -r /home/requirements.txt
RUN apt update
# RUN apt install python3 python3-pip -y
RUN pip install --no-cache-dir -r /my_home/requirements.txt
# RUN chmod +x hello.sh

# Make port 80 available to the world outside this container
EXPOSE 80

# Define environment variable
# ENV NAME World
ENV LOGLEVEL="INFO"

# run test1.py
# CMD ["python", "test/setup.py"]
CMD python test/setup.py; pytest --junitxml "output.xml" -n 4
# CMD ["./hello.sh"]
# RUN python script.py
# CMD ["python", "/script.py"]
68 changes: 68 additions & 0 deletions tests/data/baseline/get_data.py
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import os

import boto3
from dotenv import load_dotenv
from tqdm import tqdm

load_dotenv()
pth = os.environ["PATH"]
aws_access_key_id = os.environ["AWS_ACCESS_KEY_ID"]
aws_secret_access_key = os.environ["AWS_SECRET_ACCESS_KEY"]

s3_client = boto3.client(
"s3",
aws_access_key_id=aws_access_key_id,
aws_secret_access_key=aws_secret_access_key,
)


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


if __name__ == "__main__":
download_dir(
prefix="",
local=".",
bucket="tigergraph-public-data",
)
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[{"top_scores": [{"Vertex_ID": "P", "score": 2}, {"Vertex_ID": "N", "score": 2}, {"Vertex_ID": "C", "score": 2}, {"Vertex_ID": "H", "score": 2}, {"Vertex_ID": "B", "score": 2}, {"Vertex_ID": "M", "score": 2}, {"Vertex_ID": "O", "score": 2}, {"Vertex_ID": "R", "score": 2}, {"Vertex_ID": "K", "score": 2}, {"Vertex_ID": "L", "score": 2}, {"Vertex_ID": "J", "score": 2}, {"Vertex_ID": "Q", "score": 2}, {"Vertex_ID": "D", "score": 2}, {"Vertex_ID": "E", "score": 2}, {"Vertex_ID": "G", "score": 2}, {"Vertex_ID": "F", "score": 2}, {"Vertex_ID": "I", "score": 2}, {"Vertex_ID": "S", "score": 2}, {"Vertex_ID": "A", "score": 1}, {"Vertex_ID": "T", "score": 1}]}]
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