factory_farm 1.0.0

Ensuring that your prod-uctions are absolutely stunning

certificate

Bravo! You have received a Medical Diploma in "factory_farm" from
the Orbital Convergence University International Air and Water
Embassy of the Tangerine Planet 🍊.

You are now officially certified to include "factory_farm" in your
practice.

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🐍 factory_farm

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🥧 description

This module can monitor the health status of a python3 .py biome.

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⛲ licensing

GNU General Public License v3.0 - GNU Project - Free Software Foundation (FSF)

The complete license is included in the module
in the "./__license/options" directory.

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⛑️ install

This utilizes:
https://pypi.org/project/xonsh

[xonsh] pip install factory_farm

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⚕️ internal status monitor of the module

To monitor the internal status of the "factory_farm" module:

[xonsh] factory_farm internal-status

These checks are run with pypi "body_scan";
"factory_farm" is built from a fork of "body_scan".

The "body_scan" checks are written with "unittest".

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📖 documentation

[xonsh] factory_farm help 

This opens a server process that can be opened in a browser.

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🌌 Tutorial

The structure

📁 performance
	📜 status_1.py

The checks

# status_1.py

def check_1 ():
	print ("check 1")
	
def check_2 ():
	print ("check 2")
	
def check_3 ():
	raise Exception ("not 110%")

checks = {
	"check 1": check_1,
	"check 2": check_2,
	"check 3": check_3
}

The procedure

From the performance directory,

[xonsh] factory_farm status

The report

This is the report that is (hopefully) written to the terminal.

paths: [
	{
		"path": "status_1.py",
		"empty": false,
		"parsed": true,
		"stats": {
			"passes": 2,
			"alarms": 1
		},
		"checks": [
			{
				"check": "check 1",
				"passed": true,
				"elapsed": [
					4.054199962411076e-05,
					"seconds"
				]
			},
			{
				"check": "check 2",
				"passed": true,
				"elapsed": [
					1.72930003827787e-05,
					"seconds"
				]
			},
			{
				"check": "check 3",
				"passed": false,
				"exception": "Exception('not 110%')",
				"exception trace": [
					"Traceback (most recent call last):",
					"  File \"/factory_farm/processes/scan/process/keg/check.py\", line 68, in start",
					"    checks [ check ] ()",
					"  File \"<string>\", line 13, in check_3",
					"Exception: not 110%"
				]
			}
		]
	}
]
alarms: [
	{
		"path": "status_1.py",
		"checks": [
			{
				"check": "check 3",
				"passed": false,
				"exception": "Exception('not 110%')",
				"exception trace": [
					"Traceback (most recent call last):",
					"  File \"/factory_farm/processes/scan/process/keg/check.py\", line 68, in start",
					"    checks [ check ] ()",
					"  File \"<string>\", line 13, in check_3",
					"Exception: not 110%"
				]
			}
		]
	}
]
stats: {
	"alarms": 0,
	"empty": 0,
	"checks": {
		"passes": 2,
		"alarms": 1
	}
}

Notes

• Checks are started simultaneously, unless --simultaneous no

  • [xonsh] factory_farm status --simultaneous no

• The fractory glob pattern is "**/status_*.py", but can be changed with --glob-string

  • [xonsh] factory_farm status --glob-string "**/performance_*.py"

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Advanced Tutorial

It's recommended to run factory_farm in a .py script.

An example of this can be found in the "_book/advanced tutorial"
section of the documentation.

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📡 Contacts

[e-mail]

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