AI prompts
base on Prefect is a workflow orchestration framework for building resilient data pipelines in Python. <p align="center"><img src="https://github.com/PrefectHQ/prefect/assets/3407835/c654cbc6-63e8-4ada-a92a-efd2f8f24b85" width=1000></p>
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<a href="https://pypi.python.org/pypi/prefect/" alt="PyPI version">
<img alt="PyPI" src="https://img.shields.io/pypi/v/prefect?color=0052FF&labelColor=090422"></a>
<a href="https://github.com/prefecthq/prefect/" alt="Stars">
<img src="https://img.shields.io/github/stars/prefecthq/prefect?color=0052FF&labelColor=090422" /></a>
<a href="https://pepy.tech/badge/prefect/" alt="Downloads">
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<a href="https://github.com/prefecthq/prefect/pulse" alt="Activity">
<img src="https://img.shields.io/github/commit-activity/m/prefecthq/prefect?color=0052FF&labelColor=090422" /></a>
<br>
<a href="https://prefect.io/slack" alt="Slack">
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<a href="https://www.youtube.com/c/PrefectIO/" alt="YouTube">
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<p align="center">
<a href="https://docs.prefect.io/v3/get-started/index?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none">
Installation
</a>
·
<a href="https://docs.prefect.io/v3/get-started/quickstart?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none">
Quickstart
</a>
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<a href="https://docs.prefect.io/v3/develop/index?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none">
Build workflows
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<a href="https://docs.prefect.io/v3/deploy/index?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none">
Deploy workflows
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<a href="https://app.prefect.cloud/?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none">
Prefect Cloud
</a>
</p>
# Prefect
Prefect is a workflow orchestration framework for building data pipelines in Python.
It's the simplest way to elevate a script into a production workflow.
With Prefect, you can build resilient, dynamic data pipelines that react to the world around them and recover from unexpected changes.
With just a few lines of code, data teams can confidently automate any data process with features such as scheduling, caching, retries, and event-based automations.
Workflow activity is tracked and can be monitored with a self-hosted [Prefect server](https://docs.prefect.io/latest/manage/self-host/?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none) instance or managed [Prefect Cloud](https://www.prefect.io/cloud-vs-oss?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none) dashboard.
> [!TIP]
> Prefect flows can handle retries, dependencies, and even complex branching logic
>
> [Check our docs](https://docs.prefect.io/v3/get-started/index?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none) or see the example below to learn more!
## Getting started
Prefect requires Python 3.9 or later. To [install the latest or upgrade to the latest version of Prefect](https://docs.prefect.io/get-started/install), run the following command:
```bash
pip install -U prefect
```
Then create and run a Python file that uses Prefect `flow` and `task` decorators to orchestrate and observe your workflow - in this case, a simple script that fetches the number of GitHub stars from a repository:
```python
from prefect import flow, task
import httpx
@task(log_prints=True)
def get_stars(repo: str):
url = f"https://api.github.com/repos/{repo}"
count = httpx.get(url).json()["stargazers_count"]
print(f"{repo} has {count} stars!")
@flow(name="GitHub Stars")
def github_stars(repos: list[str]):
for repo in repos:
get_stars(repo)
# run the flow!
if __name__ == "__main__":
github_stars(["PrefectHQ/Prefect"])
```
Fire up a Prefect server and open the UI at http://localhost:4200 to see what happened:
```bash
prefect server start
```
To run your workflow on a schedule, turn it into a deployment and schedule it to run every minute by changing the last line of your script to the following:
```python
if __name__ == "__main__":
github_stars.serve(
name="first-deployment",
cron="* * * * *",
parameters={"repos": ["PrefectHQ/prefect"]}
)
```
You now have a process running locally that is looking for scheduled deployments!
Additionally you can run your workflow manually from the UI or CLI. You can even run deployments in response to [events](https://docs.prefect.io/latest/automate/?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none).
> [!TIP]
> Where to go next - check out our [documentation](https://docs.prefect.io/v3/get-started/index?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none) to learn more about:
> - [Deploying flows to production environments](https://docs.prefect.io/v3/deploy?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none)
> - [Adding error handling and retries](https://docs.prefect.io/v3/develop/write-tasks#retries?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none)
> - [Integrating with your existing tools](https://docs.prefect.io/integrations/integrations?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none)
> - [Setting up team collaboration features](https://docs.prefect.io/v3/manage/cloud/manage-users/manage-teams#manage-teams?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none)
## Prefect Cloud
Prefect Cloud provides workflow orchestration for the modern data enterprise. By automating over 200 million data tasks monthly, Prefect empowers diverse organizations — from Fortune 50 leaders such as Progressive Insurance to innovative disruptors such as Cash App — to increase engineering productivity, reduce pipeline errors, and cut data workflow compute costs.
Read more about Prefect Cloud [here](https://www.prefect.io/cloud-vs-oss?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none) or sign up to [try it for yourself](https://app.prefect.cloud?utm_source=oss&utm_medium=oss&utm_campaign=oss_gh_repo&utm_term=none&utm_content=none).
## prefect-client
If your use case is geared towards communicating with Prefect Cloud or a remote Prefect server, check out our
[prefect-client](https://pypi.org/project/prefect-client/). It is a lighter-weight option for accessing client-side functionality in the Prefect SDK and is ideal for use in ephemeral execution environments.
## Connect & Contribute
Join a thriving community of over 25,000 practitioners who solve data challenges with Prefect. Prefect's community is built on collaboration, technical innovation, and continuous improvement.
### Community Resources
🌐 **[Explore the Documentation](https://docs.prefect.io)** - Comprehensive guides and API references
💬 **[Join the Slack Community](https://prefect.io/slack)** - Connect with thousands of practitioners
🤝 **[Contribute to Prefect](https://docs.prefect.io/contribute/)** - Help shape the future of the project
🔌 **[Support or create a new Prefect integration](https://docs.prefect.io/contribute/contribute-integrations)** - Extend Prefect's capabilities
### Stay Informed
📥 **[Subscribe to our Newsletter](https://prefect.io/newsletter)** - Get the latest Prefect news and updates
📣 **[Twitter/X](https://x.com/PrefectIO)** - Latest updates and announcements
📺 **[YouTube](https://www.youtube.com/@PrefectIO)** - Video tutorials and webinars
📱 **[LinkedIn](https://www.linkedin.com/company/prefect)** - Professional networking and company news
Your contributions, questions, and ideas make Prefect better every day. Whether you're reporting bugs, suggesting features, or improving documentation, your input is invaluable to the Prefect community.
", Assign "at most 3 tags" to the expected json: {"id":"3202","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"