Jeff Hale discdiver

Instructions for creating and activating a virtual environment with venv

If you are comfortable with conda, uv, pipenv or another virtual environment tool, feel free to use one of those tools to create a virtual environment instead.

Ensure you are not in a virtual environment already. Generally, you will know you are in a virtual environment because your command line prompt will include the virtual environment name in parentheses.

Venv comes installed with Python. If you need to install Python 3.12, download it from python.org.


Starting agent with ephemeral API...

  ___ ___ ___ ___ ___ ___ _____     _   ___ ___ _  _ _____
 | _ \ _ \ __| __| __/ __|_   _|   /_\ / __| __| \| |_   _|
 |  _/   / _|| _|| _| (__  | |    / _ \ (_ | _|| .` | | |
 |_| |_|_\___|_| |___\___| |_|   /_/ \_\___|___|_|\_| |_|

Usage: prefect deployment build [OPTIONS] PATH                                             
                                                                                           
Generate a deployment YAML from /path/to/file.py:flow_function                             
                                                                                           
╭─ Arguments ──────────────────────────────────────────────────────────────────────────────╮
│ *    path      TEXT  The path to a flow entrypoint, in the form of                       │
│                      `./path/to/file.py:flow_func_name`                                  │
│                      [default: None]                                                     │
│                      [required]                                                          │

(base) jeffhale prefect/demo [main] $ prefect --help
                                                                                            
 Usage: prefect [OPTIONS] COMMAND [ARGS]...                                                 
                                                                                            
╭─ Options ────────────────────────────────────────────────────────────────────────────────╮
│ --version  -v            Display the current version.                                    │
│ --profile  -p      TEXT  Select a profile for this this CLI run. [default: None]         │
│ --help                   Show this message and exit.                                     │
╰──────────────────────────────────────────────────────────────────────────────────────────╯

prefect deployment build demo.py:pipeline -n cool-deployment --apply

prefect deployment build demo.py:pipeline -n cool-deployment
prefect deployment apply pipeline-deployment.yaml

	#
	# Sets Prezto options.
	#
	# Authors:
	# Sorin Ionescu <[email protected]>
	#

	#
	# General
	#

	import requests
	from prefect import flow


	@flow(log_prints=True)
	def fetch_weather(lat: float = 38.9, lon: float = -77.0):
	weather = requests.get(
	"https://api.open-meteo.com/v1/forecast/",
	params=dict(latitude=lat, longitude=lon, hourly="temperature_2m"),
	)

	from demo import pipeline2
	from prefect.deployments import Deployment
	from prefect.filesystems import S3
	from prefect.orion.schemas.schedules import IntervalSchedule

	deployment2 = Deployment.build_from_flow(
	flow=pipeline2,
	name="Second Python Deployment Example",
	schedule=(IntervalSchedule(interval=60)),
	tags=["extract"],

	from demo import pipeline
	from prefect.deployments import Deployment

	deployment = Deployment.build_from_flow(
	flow=pipeline,
	name="Python Deployment Example",
	)

	if __name__ == "__main__":
	deployment.apply()