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run_workflow.py
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run_workflow.py
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import asyncio
import datetime
import matplotlib.pyplot as plt
import pandas as pd
from temporalio.client import Client
from github_activity import TASK_QUEUE_NAME, GitHubRepo
from github_workflows import GitHubWorkflow
async def main() -> pd.DataFrame:
client = await Client.connect("localhost:7233")
recent_reviewers = await client.execute_workflow(
GitHubWorkflow.run,
GitHubRepo(name="temporalio/samples-python"),
id="github-workflow",
task_queue=TASK_QUEUE_NAME,
)
df = pd.DataFrame(recent_reviewers)
df["qualifications"] = df.apply(
lambda row: int(
(row["followers"] < 2)
and (row["following"] < 2)
and (row["public_gists"] == 0)
and (row["public_repos"] < 5)
and (row["email"] is None)
and (row["bio"] is None)
and (not row["blog"])
and not isinstance(row["hireable"], bool)
),
axis=1,
)
print(df)
plt.scatter(df["followers"], df["public_repos"])
plt.xlabel("Followers")
plt.ylabel("Public Repos")
plt.title("Followers vs Public Repos")
plt.show()
return df
if __name__ == "__main__":
asyncio.run(main())