Another script to calculate github workflow stats

Author: ipeterov

workflow_stats.py

@@ -0,0 +1,78 @@
+from collections import defaultdict
+import matplotlib.pyplot as plt
+from github import Github
+from matplotlib.ticker import MultipleLocator, FuncFormatter
+
+GITHUB_TOKEN = "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"
+g = Github(GITHUB_TOKEN)
+
+ORGANIZATION = "ivelum"
+REPOSITORY = "teamplify"
+START_WORKFLOW = "test.yaml"
+END_WORKFLOW = "deploy.yaml"
+LAST_N_RUNS = 50
+
+
+def get_time_series():
+    repo = g.get_organization(ORGANIZATION).get_repo(REPOSITORY)
+
+    runs_by_sha = defaultdict(lambda: dict(workflow_names=[], start=None, end=None))
+    for workflow_name in [START_WORKFLOW, END_WORKFLOW]:
+        workflow = repo.get_workflow(workflow_name)
+
+        all_runs = iter(workflow.get_runs(status="completed"))
+
+        for _ in range(LAST_N_RUNS):
+            workflow_run = next(all_runs)
+
+            if workflow_run.status != "completed":
+                continue
+
+            if workflow_run.conclusion != "success":
+                continue
+
+            stats = runs_by_sha[workflow_run.head_sha]
+
+            stats["workflow_names"].append(workflow_name)
+
+            if not stats["start"] or stats["start"] > workflow_run.created_at:
+                stats["start"] = workflow_run.created_at
+
+            if not stats["end"] or stats["end"] < workflow_run.updated_at:
+                stats["end"] = workflow_run.updated_at
+
+    with_start_and_end = [
+        stats
+        for stats in runs_by_sha.values()
+        if set(stats["workflow_names"]) == {START_WORKFLOW, END_WORKFLOW}
+    ]
+    by_start = sorted(with_start_and_end, key=lambda stats: stats["start"])
+
+    starts = []
+    durations = []
+    for stats in by_start:
+        starts.append(stats["start"].strftime("%-dth\n%H:%M"))
+        duration = stats["end"] - stats["start"]
+        durations.append(duration.seconds)
+
+    return starts, durations
+
+
+def format_seconds(total_seconds, position=None):
+    minutes = total_seconds // 60
+    seconds = total_seconds % 60
+    return f"{minutes:.0f}:{seconds:02.0f}"
+
+
+if __name__ == "__main__":
+    plt.style.use("seaborn-v0_8")
+
+    starts, durations = get_time_series()
+
+    ax = plt.subplot()
+    bars = ax.bar(starts, durations)
+    ax.bar_label(bars, labels=[format_seconds(duration) for duration in durations])
+    ax.yaxis.set_major_locator(MultipleLocator(base=60))
+    ax.yaxis.set_major_formatter(FuncFormatter(format_seconds))
+    ax.set_ylim(bottom=0)
+    plt.show()