56c5a31c9e
* feat(github): Analyse past release times Signed-off-by: Tim Collins <tim@thecollins.team> * typo Signed-off-by: Tim Collins <tim@thecollins.team> * add megalinter config. Fix my rubbish code to appease the linter Signed-off-by: Tim Collins <tim@thecollins.team> --------- Signed-off-by: Tim Collins <tim@thecollins.team> Co-authored-by: Aikawa <yu.croco@gmail.com>
58 lines
2 KiB
Python
58 lines
2 KiB
Python
import csv
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import matplotlib.pyplot as plt
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from packaging import version
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def plot_time_difference(csv_file):
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# Read the CSV file and process the data
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data = {"argo-cd": [], "argo-events": [], "argo-workflows": [], "argo-rollouts": []}
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release_tags = {
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"argo-cd": [],
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"argo-events": [],
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"argo-workflows": [],
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"argo-rollouts": [],
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}
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with open(csv_file, mode="r") as file:
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reader = csv.DictReader(file)
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for row in reader:
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repo = row["Repository"]
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time_diff_str = row["Time Difference"]
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release_tag = row["Release Tag"]
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if repo in data and time_diff_str:
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time_diff = float(time_diff_str)
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data[repo].append(time_diff)
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release_tags[repo].append(release_tag)
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# Sort the release tags based on semantic versioning
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for repo in release_tags:
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sorted_indices = sorted(
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range(len(release_tags[repo])),
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key=lambda i: version.parse(release_tags[repo][i]),
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)
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release_tags[repo] = [release_tags[repo][i] for i in sorted_indices]
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data[repo] = [data[repo][i] for i in sorted_indices]
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# Plot the data
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for repo, time_diffs in data.items():
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plt.figure(figsize=(10, 6))
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plt.plot(release_tags[repo], time_diffs, marker="o", label=repo)
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plt.axhline(y=72, color="r", linestyle="--", label="SLA (72 hours)")
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plt.xlabel("Upstream Release Tag")
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plt.ylabel(
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"Time difference between upstream release and Helm Chart release (hours)"
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)
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plt.title(f"Time to Release Helm Chart for {repo}")
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plt.legend()
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plt.grid(True)
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plt.xticks(rotation=45)
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plt.tight_layout()
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plt.savefig(f"time_difference_plot_{repo}.png")
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plt.close()
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print("The plots have been saved as 'time_difference_plot_<repo>.png'")
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# Example usage
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if __name__ == "__main__":
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plot_time_difference("merged_releases.csv")
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