MarcoM
09/11/2025, 10:49 AMgit pull command failed. As a result, the process terminated without going into a retry cycle.
Is there a way to configure Prefect so that the process retries automatically if the git pull step fails?Marvin
09/11/2025, 10:49 AMMarvin
09/11/2025, 10:55 AMgit_clone or a git pull run via steps). When that step fails, the flow run typically crashes before your flow code starts, so flow/task retries don’t apply.
Good options you can use today:
- Prefect Cloud Automation to resubmit on crash/failure
- Create an Automation that triggers when a flow run enters Crashed or Failed for your deployment, then performs a “resubmit/create flow run” action (optionally with a delay/backoff).
- This requeues the run so the whole process (including the git step) is attempted again.
- Docs: Automations (Prefect 2)
- Add retry logic around the git command in your pull steps
- Replace the stock `git_clone`/`git pull` with a run_shell_script pull step that retries with backoff. Example prefect.yaml snippet:
pull:
- prefect.deployments.steps.utility.set_working_directory:
directory: "/opt/prefect/flows" # adjust as needed
- prefect.deployments.steps.utility.run_shell_script:
# Exponential backoff retry for a transient git failure
script: |
set -euo pipefail
REPO_URL="<https://github.com/your-org/your-repo.git>"
TARGET_DIR="repo"
MAX_RETRIES=5
clone_or_pull() {
if [ -d "$TARGET_DIR/.git" ]; then
echo "Repo exists; pulling latest..."
git -C "$TARGET_DIR" fetch --all --prune
git -C "$TARGET_DIR" reset --hard origin/main
git -C "$TARGET_DIR" submodule update --init --recursive
else
echo "Cloning repo..."
git clone --recurse-submodules "$REPO_URL" "$TARGET_DIR"
fi
}
n=0
until clone_or_pull; do
n=$((n+1))
if [ $n -ge $MAX_RETRIES ]; then
echo "git operation failed after $MAX_RETRIES attempts"
exit 1
fi
sleep_time=$(( 5 * n ))
echo "git failed (attempt $n/$MAX_RETRIES); retrying in ${sleep_time}s..."
sleep "$sleep_time"
done
stream_output: true
- Step reference: prefect.yaml and deployment steps
- Avoid runtime git entirely
- Bake your flow code into a container image used by the deployment’s infrastructure, so there’s no git call at run-time. This removes a common transient failure point.
- Use infrastructure-level restarts (if applicable)
- If you’re running in Kubernetes, set a Job backoffLimit on your work pool’s job template so the container restarts on non-zero exit (the git failure) and retries the whole run.
- Similarly, if you’re using Docker or ECS, enable restart/on-failure semantics where available in your deployment environment. This re-attempts the whole process including the pull step.
A couple of clarifying questions so I can tailor a precise recommendation:
- Are you using Prefect Cloud or Prefect Server?
- Which worker/work pool type are you using (Process, Docker, Kubernetes, ECS)?
- Could you share the pull: section of your prefect.yaml (sanitized)? That will help me suggest the cleanest retry pattern for your setup.MarcoM
09/11/2025, 10:57 AM# Welcome to your prefect.yaml file! You can you this file for storing and managing
# configuration for deploying your flows. We recommend committing this file to source
# control along with your flow code.
# Generic metadata about this project
name: prefect-allianz
# build section allows you to manage and build docker images
build:
# push section allows you to manage if and how this project is uploaded to remote locations
push:
# pull section allows you to provide instructions for cloning this project in remote locations
pull:
- prefect.deployments.steps.git_clone:
repository: <https://github.com/prometeia-wam/da-data-pipeline-customer.git>
branch: "{{ prefect.variables.git_branch }}"
access_token: "{{ prefect.blocks.secret.github-tech-user-token }}"
# the deployments section allows you to provide configuration for deploying flows
deployments:
- name: allianz-import-mappatura-challenge-duplicazioni
version:
tags: ['CUSTOMER','ALLIANZ']
description: Import mappatura challenge duplications for Allianz
schedule:
cron: "30 10 * * 1-5"
timezone: "Europe/Rome"
active: "{{ prefect.variables.is_schedule_active }}"
entrypoint: customers/allianz/flows/import/allianz_import_mappatura_challenge_duplicazioni.py:allianz_import_mappatura_challenge_duplicazioni
parameters: {"asset_id":"allianz-mappatura_challenge_duplicazioni"}
work_pool:
name: customer-workpool
work_queue_name: default
job_variables: {}
- name: allianz-import-mappatura-challenge-ptf
version:
tags: ['CUSTOMER','ALLIANZ']
description: Import mappatura challenge portfolios for Allianz
schedule:
cron: "30 10 * * 1-5"
timezone: "Europe/Rome"
active: "{{ prefect.variables.is_schedule_active }}"
entrypoint: customers/allianz/flows/import/allianz_import_mappatura_challenge_ptf.py:allianz_import_mappatura_challenge_ptf
parameters: {"asset_id":"allianz-mappatura_challenge_ptf"}
work_pool:
name: customer-workpool
work_queue_name: default
job_variables: {}
--> mi piaceva l'idea del run shell script, come lo faresti?Marvin
09/11/2025, 10:57 AMMarvin
09/11/2025, 10:58 AMpull: è perfetto per aggiungere retry e backoff al passo Git.
Qui sotto trovi un esempio plug-and-play che sostituisce il tuo git_clone. Fa:
- clone iniziale con token e branch
- pull successivi con fetch + reset --hard sul branch richiesto
- retry con backoff lineare (puoi portarlo a esponenziale se vuoi)
- imposta la working directory alla cartella del repo, così i tuoi entrypoint restano invariati
Nota: assicurati che l’immagine/ambiente del worker abbia git installato.
Sostituisci la sezione pull: così:
pull:
# 1) esegue git clone/pull con retry
- prefect.deployments.steps.utility.run_shell_script:
script: |
set -euo pipefail
REPO_URL="<https://github.com/prometeia-wam/da-data-pipeline-customer.git>"
BRANCH="${GIT_BRANCH:-main}"
TARGET_DIR="repo" # cartella di checkout
MAX_RETRIES=5
# Costruisce URL con token se presente
auth_url="$REPO_URL"
if [ -n "${GIT_TOKEN:-}" ]; then
auth_url="$(echo "$REPO_URL" | sed -E "s#https://#https://${GIT_TOKEN}@#")"
fi
clone_or_pull() {
if [ -d "$TARGET_DIR/.git" ]; then
echo "Repo esistente: fetch/reset su $BRANCH"
git -C "$TARGET_DIR" remote set-url origin "$auth_url" >/dev/null 2>&1 || true
git -C "$TARGET_DIR" fetch --all --prune
git -C "$TARGET_DIR" checkout "$BRANCH"
git -C "$TARGET_DIR" reset --hard "origin/$BRANCH"
git -C "$TARGET_DIR" submodule update --init --recursive || true
else
echo "Clono $BRANCH in $TARGET_DIR"
rm -rf "$TARGET_DIR"
git clone --branch "$BRANCH" --single-branch --recurse-submodules "$auth_url" "$TARGET_DIR"
fi
}
n=0
until clone_or_pull; do
n=$((n+1))
if [ $n -ge $MAX_RETRIES ]; then
echo "git fallito dopo $MAX_RETRIES tentativi"
exit 1
fi
sleep_time=$(( 5 * n )) # backoff lineare (5s,10s,15s,...)
echo "git fallito (tentativo $n/$MAX_RETRIES); riprovo tra ${sleep_time}s..."
sleep "$sleep_time"
done
env:
# prende i valori dai tuoi templating Prefect
GIT_TOKEN: "{{ prefect.blocks.secret.github-tech-user-token }}"
GIT_BRANCH: "{{ prefect.variables.git_branch }}"
stream_output: true
# 2) imposta la working directory al repo clonato
- prefect.deployments.steps.pull.set_working_directory:
directory: "repo"
Cose da tenere a mente:
- Se vuoi un backoff esponenziale, sostituisci sleep_time=$(( 5 * n )) con sleep_time=$(( 5 * 2**(n-1) )) e magari aggiungi un po’ di jitter.
- Questo script evita di stampare il token; non fa echo delle variabili.
- Se usate submodules, il comando submodule update --init --recursive è già previsto.
- Se preferisci non cambiare la working dir, puoi clonare direttamente nella dir corrente (ma attenzione: il clone in . richiede una dir vuota).
Riferimenti utili:
- prefect.yaml e deployment steps (Prefect 2)
- Automations (Prefect 2) per un eventuale “piano B” che rimandi automaticamente i run in stato Failed/Crashed
Se mi confermi che state usando Cloud o Server e il tipo di worker/work pool (Process, Docker, Kubernetes, …), posso suggerirti anche eventuali retry a livello di infrastruttura come ulteriore rete di sicurezza.Bring your towel and join one of the fastest growing data communities. Welcome to our second-generation open source orchestration platform, a completely rethought approach to dataflow automation.
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