macadmins / macadmins/jamf-pro-sdk-python

[Feedback] Handling Jamf Pro Versioning in the SDK

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enhancement feedback
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Beschreibung

During the JNUC presentation a question was raised about SDK compatibility with different versions of Jamf Pro as APIs are added, deprecated, and removed. This proposal outlines an approach to alerting developers to when they are using an API that may not be compatible with the version of Jamf Pro they've connected a client to, or if they are using an API that has been deprecated.

Current

Currently all API changes have to be referenced from release notes for each Jamf Pro version. The SDK does not include any mechanisms for alerting developers.

Proposed

The SDK should contain metadata about the API methods that have been added that track the version they were added (minimum), if they are deprecated (a true/false flag), and the version they were removed (maximum).

Client Jamf Pro Version

The SDK would need to know the version of Jamf Pro during client init. This could be provided statically, automatically retrieved from the Pro API jamf-pro-version endpoint, or ignored.

As a part of this proposal the default behavior on client init would include an authenticated call to GET jamf-pro-version. This behavior may not be desirable as it requires authentication which means the client is making two network calls immediately.

Passing the version string on init would bypass this. Choosing to ignore the client version through an argument would then disable ALL of the warning system.

This new option should be added to the client config.

from jamf_pro_sdk import JamfProClient, BasicAuthProvider, SessionConfig

config = SessionConfig()
config.server_version = "10.50"
client.server_version = None  # <-- Default, triggers call to jamf-pro-version API
client.ignore_server_version = True  # <-- Default is False, setting True will disable all Jamf Pro version warnings

client = JamfProClient(
    server="jamf.my.org",
    credentials=BasicAuthProvider("oscar", "j@mf1234!"),
    config=config
)
API Warnings

If the client is instantiated with a version then all endpoints would need to emit WARNINGS when a method is being used that:

  1. Has a minimum version ABOVE the client's Jamf Pro version.
  2. Has been flagged as deprecated and should be migrated off of.
  3. Has a maximum version LOWER than the client's Jamf Pro version.

This will be handled using Python's warnings module. Each unique warning will only appear once. The loggers can be configured to capture warning messages so developers will know when a particular client is making requests that meet one of the conditions above.

import logging
import warnings

from jamf_pro_sdk import logger_quick_setup

logger_quick_setup()  # Updated to include capturing warnings 
# logging.captureWarnings(True)
# warnings_logger = logging.getLogger("py.warnings")
# warnings_logger.addHandler(handler)

warnings.warn("This API is deprecated as of version 10.50 and will be removed in a future.")
# 2023-10-05 10:30:04,746 py.warnings WARNING MainThread <stdin>:1: UserWarning: This API is deprecated as of Jamf Pro 10.50 and will be removed in a future version.

When a deprecation flag is set there should be included a message for which API method the developer should migrate to using (if one exists). This migration message should carry forward for case 3.

The SDK will NOT throw version exceptions as a part of this warnings system. The client will return 404 errors if the API does not exist and the warning message can be captured in logs if the developer follows guidance in the documentation.

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Rechercherichtung

Beginne damit, die Initialisierung von JamfProClient und SessionConfig nachzuverfolgen, und prüfe anschließend, wie der jamf-pro-version-Endpunkt und Pythons warnings-Modul in den Lebenszyklus des Clients passen würden. Als abgeschlossen gilt die Aufgabe, wenn ein festgelegtes Konfigurationsdesign, ein Modell für API-Metadaten, das Warnverhalten für minimale, veraltete und maximale Versionen sowie eine Dokumentation zum Erfassen von Warnungen vorhanden sind.

Vom Indexierungsmodell aus dem Issue-Text verfasst.

Bewertung

Tech-Stack
python
Bereich
api, backend
Issue-Typ
Feature
Schwierigkeit
5/5
Geschätzter Aufwand
Über eine Woche
Aktivitätsstatus
Veraltet
Klarheit
Muss geklärt werden
Anfängerfreundlichkeit
25/100

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