[ci] Enhancement: Perf Workflow

.github/workflows/perf.yml

@@ -0,0 +1,46 @@
+# Copyright (c) Microsoft Corporation.
+# Licensed under the MIT license.
+
+name: Performance Analysis
+
+on:
+  push:
+    branches:
+      - bugfix-*
+      - enhancement-*
+      - feature-*
+      - workaround-*
+      - dev
+      - unstable
+      - main
+  workflow_dispatch:
+
+jobs:
+  plot:
+    name: Plot
+    runs-on: ubuntu-latest
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v4
+    - name: Setup SSH
+      shell: bash
+      run: |
+        mkdir -p $HOME/.ssh/
+        echo "${{ secrets.SSHKEY }}" > "$HOME/.ssh/id_rsa"
+        chmod 400 $HOME/.ssh/id_rsa
+        echo "Host *" > $HOME/.ssh/config
+        echo -e "\tStrictHostKeyChecking no" >> $HOME/.ssh/config
+        echo -e "\tIdentityFile $HOME/.ssh/id_rsa" >> $HOME/.ssh/config
+        echo -e "\tIdentitiesOnly yes" >> $HOME/.ssh/config
+        echo -e "\tPasswordAuthentication no" >> $HOME/.ssh/config
+        echo -e "\tUser ${{ secrets.USERNAME }}" >> $HOME/.ssh/config
+        echo -e "\tPort ${{ secrets.PORTNUM }}" >> $HOME/.ssh/config
+    - name: Plot Performance
+      run: |
+        pip install --pre azure-data-tables azure-storage-blob pandas matplotlib
+        python3 tools/plot.py \
+          --connection "${{ secrets.AZURE_STORAGE_CONNECTION_STRING }}" \
+          --table  ${{ secrets.AZURE_STORAGE_TABLE_NAME }} \
+          --key ${{ secrets.AZURE_STORAGE_KEY }} \
+          --container ${{ secrets.AZURE_STORAGE_CONTAINER }}
+

tools/plot.py

@@ -0,0 +1,264 @@
+# Copyright (c) Microsoft Corporation.
+# Licensed under the MIT license.
+
+import datetime
+import fnmatch
+import json
+import subprocess
+from typing import List
+from azure.data.tables import TableServiceClient
+import pandas
+import matplotlib.pyplot as plt
+import argparse
+from azure.storage.blob import BlobClient
+
+# =====================================================================================================================
+
+
+# Drives the program.
+def main():
+    # Read arguments from command line and parse them.
+    args: argparse.Namespace = __read_args()
+
+    # Extract optionss.
+    table_name: str = args.table
+    container_name: str = args.container
+    connection_str: str = args.connection
+    key: str = args.key
+    no_plot: bool = args.no_plot
+
+    __plot_performance(table_name=table_name, container_name=container_name,
+                       connection_str=connection_str, key=key, no_plot=no_plot)
+
+
+# Reads and parses command line arguments.
+def __read_args() -> argparse.Namespace:
+    description: str = "CI Utility for pllot performance statistics of Demikernel."
+
+    # Initialize parser.
+    parser = argparse.ArgumentParser(prog="plot.py", description=description)
+
+    # Options related to Storage account.
+    parser.add_argument("--table", required=True, help="Set Azure Table to use.")
+    parser.add_argument("--container", required=True, help="Set Azure Blob Container to use.")
+
+    # Options related to credentials.
+    parser.add_argument("--connection", required=True, help="Set connection string to access Azure Storage Account.")
+    parser.add_argument("--key", required=True, help="Set connection key to access Azure Storage Account.")
+
+    parser.add_argument("--no-plot", action="store_true", help="Do not plot the performance statistics.")
+
+    # Read arguments from command line.
+    return parser.parse_args()
+
+
+# Get first commit on branch.
+def get_first_commit_on_branch() -> str:
+    cmd = "git rev-list --max-parents=0 HEAD"
+    git_cmd = "bash -l -c \'{}\'".format(cmd)
+    git_process = subprocess.Popen(
+        git_cmd, shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    git_stdout, _ = git_process.communicate()
+    return git_stdout.replace("\n", "")
+
+
+def check_if_merge_commit(commit_hash: str) -> bool:
+    cmd = "git show --format=%P -s {}".format(commit_hash)
+    git_cmd = "bash -l -c \'{}\'".format(cmd)
+    git_process = subprocess.Popen(
+        git_cmd, shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    git_stdout, _ = git_process.communicate()
+    return len(git_stdout.split()) > 1
+
+
+def check_if_head_commit(commit_hash: str) -> bool:
+    cmd = "git show --format=%P -s HEAD".format(commit_hash)
+    git_cmd = "bash -l -c \'{}\'".format(cmd)
+    git_process = subprocess.Popen(
+        git_cmd, shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    git_stdout, _ = git_process.communicate()
+    return len(git_stdout.split()) == 0
+
+
+def get_short_commit_hash(commit_hash: str) -> int:
+    cmd = "git rev-parse --short {}".format(commit_hash)
+    git_cmd = "bash -l -c \'{}\'".format(cmd)
+    git_process = subprocess.Popen(
+        git_cmd, shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    git_stdout, _ = git_process.communicate()
+    return int(git_stdout.replace("\n", ""), 16)
+
+# Compute distance of two commit hashes.
+
+
+def get_distance_of_commits(commit_hash1: str) -> int:
+    base_commit = get_first_commit_on_branch()
+    cmd = "git rev-list --count {}..{}".format(base_commit, commit_hash1)
+    git_cmd = "bash -l -c \'{}\'".format(cmd)
+    git_process = subprocess.Popen(
+        git_cmd, shell=True, text=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+    git_stdout, _ = git_process.communicate()
+    git_stdout = git_stdout.replace("\n", "")
+    if git_stdout == "":
+        git_stdout = "0"
+    print(f"Distance between {base_commit} and {commit_hash1} is {git_stdout}")
+    return int(git_stdout)
+
+
+def __plot_performance(table_name: str, container_name: str, connection_str: str, key: str, no_plot: bool) -> None:
+    # Connect to Azure table.
+    table_service = TableServiceClient.from_connection_string(connection_str)
+    table_client = table_service.get_table_client(table_name)
+
+    # Query Azure table for statistics on the past 30 days.
+    base_date = datetime.datetime.now() - datetime.timedelta(days=15)
+    # print(f"Querying Azure Table for performance statistics since {base_date}...")
+    query_filter: str = f"Timestamp gt datetime'{base_date.strftime('%Y-%m-%dT%H:%M:%S.%fZ')}' and" + \
+        "(LibOS eq 'catnap' or LibOS eq 'catpowder' or LibOS eq 'catnip') and (Syscall eq 'push' or Syscall eq 'pop')"
+    select: List[str] = ["LibOS", "JobName", "CommitHash", "Syscall", "AverageCyclesPerSyscall"]
+    data = table_client.query_entities(query_filter=query_filter, select=select)
+
+    cooked_data = {
+        "tcp-ping-pong-server": {
+            "push": {
+                "catnap": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catpowder": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catnip": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+            },
+            "pop": {
+                "catnap": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catpowder": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catnip": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+            },
+        },
+        "tcp-ping-pong-client": {
+            "push": {
+                "catnap": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catpowder": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catnip": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+            },
+            "pop": {
+                "catnap": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catpowder": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+                "catnip": {
+                    "diff": [],
+                    "cycles": [],
+                    "commit": []
+                },
+            },
+        }
+    }
+
+    job_types = ["tcp-ping-pong-server", "tcp-ping-pong-client"]
+    syscalls = ["push", "pop"]
+    libos_types = ["catnap", "catpowder", "catnip"]
+
+    # Hashtable of commits.
+    commits = {}
+    head_commit = get_first_commit_on_branch()
+
+    # Parse queried data.
+    for row in data:
+        for job_type in job_types:
+            if fnmatch.fnmatch(row["JobName"], f"*{job_type}*"):
+                for syscall in syscalls:
+                    if syscall in row["Syscall"]:
+                        for libos_type in libos_types:
+                            if libos_type in row["LibOS"]:
+                                hash = row["CommitHash"]
+                                if check_if_merge_commit(hash) or check_if_head_commit(hash):
+                                    # check if we have already processed this commit
+                                    if not (libos_type, hash, syscall) in commits:
+                                        print(f"Processing commit {hash}...")
+                                        commits[(libos_type, hash, syscall)] = True
+                                        cooked_data[job_type][syscall][libos_type]["diff"].append(
+                                            get_distance_of_commits(hash))
+                                        cooked_data[job_type][syscall][libos_type]["cycles"].append(
+                                            row["AverageCyclesPerSyscall"])
+                                        cooked_data[job_type][syscall][libos_type]["commit"].append(
+                                            get_short_commit_hash(hash))
+
+    # print(json.dumps(cooked_data, indent=4))
+
+    if not no_plot:
+        for job_type in job_types:
+            for syscall in syscalls:
+                catpowder_df = pandas.DataFrame(cooked_data[job_type][syscall]["catpowder"])
+                catpowder_df.sort_values(by=['diff'], inplace=True)
+                catnap_df = pandas.DataFrame(cooked_data[job_type][syscall]["catnap"])
+                catnap_df.sort_values(by=['diff'], inplace=True)
+                catnip_df = pandas.DataFrame(cooked_data[job_type][syscall]["catnip"])
+                catnip_df.sort_values(by=['diff'], inplace=True)
+                df = pandas.merge(catpowder_df, catnap_df, on=["commit", "diff"])
+                df = pandas.merge(df, catnip_df, on=["commit", "diff"])
+                if not df.empty:
+                    df.columns = ["Diff", "Catpowder", "Commit", "Catnap", "Catnip"]
+                    # print(f"Plotting {job_type} {syscall}...")
+                    df.plot(x="Diff", y=["Catpowder", "Catnap", "Catnip"],
+                            kind="line", marker='o',
+                            title=f"Performance for {syscall.capitalize()}()",
+                            xlabel="Commit Hash",
+                            ylabel="Average Cycles Spent in Syscall",
+                            legend=True, ylim=(0, 5000))
+                    plt.xticks(rotation=90, ticks=df["Diff"], labels=df["Commit"])
+                    plt.savefig(f"{job_type}-{syscall}.png", bbox_inches='tight', dpi=300)
+                    upload_image_to_blob("demikernel", key, container_name,
+                                         f"{head_commit}-{job_type}-{syscall}.png", f"{job_type}-{syscall}.png")
+
+
+def upload_image_to_blob(account_name, account_key, container_name, blob_name, image_path):
+    blob_client = BlobClient(account_url=f"https://{account_name}.blob.core.windows.net",
+                             container_name=container_name,
+                             blob_name=blob_name,
+                             credential=account_key)
+
+    with open(image_path, 'rb') as f:
+        blob_client.upload_blob(f, overwrite=True)
+
+
+if __name__ == "__main__":
+    main()