3 Commits

4 changed files with 68 additions and 85 deletions

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@ -1,71 +0,0 @@
when:
- event: [push, manual]
branch: woodpecker
steps:
- name: code-tests
image: python:3.11.7-alpine
commands:
- cd api
- python3 -m venv env
- source env/bin/activate
- pip install -r requirements.txt pytest
- python3 -m pytest --junit-xml=pytest_junit.xml
- name: build-and-push
image: marcin00.azurecr.io/azure-cli-docker:slim-bookworm
environment:
ACR_NAME: marcin00
CLIENT_ID: c302726f-fafb-4143-94c1-67a70975574a
commands:
- dockerd &
- export DOCKER_IMAGE=marcin00.azurecr.io/user-microservice:${CI_COMMIT_SHA}
- docker build -t $DOCKER_IMAGE --build-arg APP_VERSION=${CI_COMMIT_SHA} --build-arg BUILD_DATE=$(date -u +"%Y-%m-%dT%H:%M:%SZ") .
- az login --identity --client-id $CLIENT_ID
- az acr login --name $ACR_NAME
- docker push $DOCKER_IMAGE
backend_options:
kubernetes:
annotations:
io.kubernetes.cri-o.userns-mode: "auto:size=65536"
runtimeClassName: sysbox-runc
- name: gitops-commit
image: alpine/git
environment:
DEPLOY_REPO_URL: ssh://git@srv22.mikr.us:20343/pikram/user-microservice-deploy.git
DEPLOY_REPO_BRANCH: woodpecker-fluxcd-deploy
GITEA_DEPLOY_KEY:
from_secret: gitea-deploy-key
GITEA_KNOWN_HOST:
from_secret: gitea-known-host
commands:
- mkdir -p ~/.ssh
- echo "$GITEA_KNOWN_HOST" >> ~/.ssh/known_hosts
- chmod 644 ~/.ssh/known_hosts
- echo "$GITEA_DEPLOY_KEY" > ~/.ssh/id_rsa
- chmod 600 ~/.ssh/id_rsa
- git config --global user.name "woodpecker[bot]"
- git config --global user.email "woodpecker@marcin00.pl"
- git clone $DEPLOY_REPO_URL --branch $DEPLOY_REPO_BRANCH
- cd user-microservice-deploy/apps/user-microservice
- |
awk -v commit="$CI_COMMIT_SHA" '
$0 ~ /name:[[:space:]]*api/ { in_api_container = 1; print; next }
in_api_container && $0 ~ /^[[:space:]]*image:[[:space:]]*/ {
sub(/:[^:[:space:]]+$/, ":" commit)
in_api_container = 0
print
next
}
{ print }
' deploy.yaml > deploy.tmp && mv deploy.tmp deploy.yaml
- git add deploy.yaml
- 'git diff-index --quiet HEAD || git commit -m "WOODPECKER: Changed deployed version to $CI_COMMIT_SHA"'
- git push origin $DEPLOY_REPO_BRANCH

66
data_analysis.py Normal file
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import matplotlib.pyplot as plt # type: ignore
import os
import statistics
# Dane
data = {
'Jenkins + Jenkins': (165, 158, 217, 164, 136, 135, 147, 145, 138, 134, 137, 129, 136, 142, 125, 138, 133, 136, 128, 131),
'Jenkins + ArgoCD': (181, 111, 115, 121, 128, 105, 108, 119, 112, 109, 110, 108, 111, 106, 113, 117, 113, 120, 113, 107),
'Jenkins + FluxCD' : (167, 119, 113, 110, 102, 126, 111, 113, 118, 106, 111, 104, 101, 105, 104, 106, 102, 105, 107, 103),
'Woodpecker + Woodpecker': (340, 348, 334, 363, 350, 339, 331, 354, 357, 351, 356, 347, 354, 341, 357, 352, 368, 336, 331, 340),
'Woodpecker + ArgoCD': (355, 360, 354, 344, 318, 353, 328, 305, 331, 324, 328, 349, 337, 328, 349, 350, 344, 344, 344, 341),
'Woodpecker + FluxCD' : (326, 344, 325, 337, 343, 358, 339, 341, 335, 354, 342, 355, 345, 334, 356, 346, 338, 342, 330, 333),
'Argo Workflows + Argo-Workflows': (190, 190, 169, 211, 172, 198, 207, 192, 212, 181, 168, 199, 216, 213, 220, 209, 192, 210, 196, 165),
'Argo Workflows + ArgoCD': (145, 159, 163, 148, 169, 185, 153, 148, 139, 176, 133, 140, 161, 135, 161, 130, 139, 164, 183, 183),
'Argo Workflows + FluxCD': (161, 136, 181, 157, 141, 139, 157, 149, 151, 139, 139, 148, 152, 142, 136, 149, 160, 145, 173, 161)
}
# Wyliczenie średnich
labels = list(data.keys())
means = [statistics.mean(data[k]) for k in labels]
# Grupy indeksów do porównań
groupings = [
[0, 1, 2],
[3, 4, 5],
[6, 7, 8],
[0, 3, 6],
[1, 4, 7],
[2, 5, 8]
]
# Kolory z palety 'tab10'
color_palette = plt.get_cmap('tab10')
# Folder wyjściowy
output_folder = "plots"
os.makedirs(output_folder, exist_ok=True)
# Generowanie wykresów
for i, group in enumerate(groupings):
group_labels = [labels[j] for j in group]
group_means = [means[j] for j in group]
colors = [color_palette(j % 10) for j in group] # różne kolory
plt.figure()
bars = plt.bar(group_labels, group_means, color=colors)
# Oblicz maksymalną wartość, by zwiększyć wysokość osi Y
max_val = max(group_means)
plt.ylim(0, max_val * 1.15) # dodaj 15% zapasu na tekst
plt.ylabel("Średni czas wdrożenia (sek)")
plt.title(f"Porównanie średnich czasów wdrożenia")
plt.xticks(rotation=45)
# Dodanie wartości nad słupkami
for bar in bars:
yval = bar.get_height()
plt.text(bar.get_x() + bar.get_width()/2.0, yval + max_val * 0.02, f'{yval:.1f}',
ha='center', va='bottom', fontsize=9)
plt.tight_layout()
plt.savefig(f"{output_folder}/mean_times_{i}.png")
plt.close()
print("Wszystkie wykresy wygenerowane z dodatkowymi marginesami!")

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@ -36,30 +36,19 @@ fi
echo "[INFO] Oczekiwanie na wdrożenie nowej wersji..."
# === Odpytywanie endpointa /version ===
WAITED=0
echo "[WAIT] Oczekiwanie na nową wersję..."
while true; do
sleep $CHECK_INTERVAL
WAITED=$((WAITED + CHECK_INTERVAL))
NEW_VERSION=$(curl -s "$APP_URL" | jq -r '.version')
if [[ "$NEW_VERSION" != "$OLD_VERSION" ]]; then
END_TIME=$(date +%s)
DURATION=$((END_TIME - START_TIME))
# Nadpisujemy linię z licznikiem
printf "\r[INFO] Nowa wersja wdrożona po %ds: %s\n" "$WAITED" "$NEW_VERSION"
echo "[INFO] Nowa wersja wdrożona: $NEW_VERSION"
echo "[INFO] Czas wdrożenia: $DURATION sekund"
echo "$START_TIME,$END_TIME,$DURATION,$OLD_VERSION,$NEW_VERSION" >> "$OUTPUT_FILE"
break
else
# Nadpisujemy TYLKO linię z licznikiem
printf "\r[WAIT] Czekam... %ds" "$WAITED"
echo "[WAIT] Czekam... ($NEW_VERSION)"
fi
done
# Żeby kursor przeszedł do nowej linii po zakończeniu
echo ""

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