Skip to content

Commit

Permalink
update changelog
Browse files Browse the repository at this point in the history
  • Loading branch information
andrewleap-optimizely committed Jan 18, 2024
1 parent ffa0b0c commit ceb8566
Show file tree
Hide file tree
Showing 2 changed files with 65 additions and 17 deletions.
80 changes: 63 additions & 17 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
@@ -1,39 +1,85 @@
# Optimizely Python SDK Changelog

## 5.0.0
January 18th, 2024

### New Features

The 5.0.0 release introduces a new primary feature, [Advanced Audience Targeting]( https://docs.developers.optimizely.com/feature-experimentation/docs/optimizely-data-platform-advanced-audience-targeting) enabled through integration with [Optimizely Data Platform (ODP)](https://docs.developers.optimizely.com/optimizely-data-platform/docs) ([#395](https://github.com/optimizely/python-sdk/pull/395), [#398](https://github.com/optimizely/python-sdk/pull/398), [#402](https://github.com/optimizely/python-sdk/pull/402), [#403](https://github.com/optimizely/python-sdk/pull/403), [#405](https://github.com/optimizely/python-sdk/pull/405)).

You can use ODP, a high-performance [Customer Data Platform (CDP)]( https://www.optimizely.com/optimization-glossary/customer-data-platform/), to easily create complex real-time segments (RTS) using first-party and 50+ third-party data sources out of the box. You can create custom schemas that support the user attributes important for your business, and stitch together user behavior done on different devices to better understand and target your customers for personalized user experiences. ODP can be used as a single source of truth for these segments in any Optimizely or 3rd party tool.

With ODP accounts integrated into Optimizely projects, you can build audiences using segments pre-defined in ODP. The SDK will fetch the segments for given users and make decisions using the segments. For access to ODP audience targeting in your Feature Experimentation account, please contact your Optimizely Customer Success Manager.

This version includes the following changes:

* New API added to `OptimizelyUserContext`:

* `fetchQualifiedSegments()`: this API will retrieve user segments from the ODP server. The fetched segments will be used for audience evaluation. The fetched data will be stored in the local cache to avoid repeated network delays.
* When an `OptimizelyUserContext` is created, the SDK will automatically send an identify request to the ODP server to facilitate observing user activities.

* New APIs added to `OptimizelyClient`:

* `sendOdpEvent()`: customers can build/send arbitrary ODP events that will bind user identifiers and data to user profiles in ODP.

For details, refer to our documentation pages:

* [Advanced Audience Targeting](https://docs.developers.optimizely.com/feature-experimentation/docs/optimizely-data-platform-advanced-audience-targeting)
* [Server SDK Support](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/advanced-audience-targeting-for-server-side-sdks)
* [Initialize Python SDK](https://docs.developers.optimizely.com/feature-experimentation/docs/initialize-sdk-python)
* [OptimizelyUserContext Python SDK](https://docs.developers.optimizely.com/feature-experimentation/docs/wip-fsodp-optimizelyusercontext-python)
* [Advanced Audience Targeting segment qualification methods](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/advanced-audience-targeting-segment-qualification-methods-python)
* [Send Optimizely Data Platform data using Advanced Audience Targeting](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/send-odp-data-using-advanced-audience-targeting-python)

### Logging

* Add warning to polling intervals below 30 seconds ([#428](https://github.com/optimizely/python-sdk/pull/428))
* Add warning to duplicate experiment keys ([#430](https://github.com/optimizely/python-sdk/pull/430))

### Enhancements
* Added `py.typed` to enable external usage of mypy type annotations.

### Breaking Changes
* Updated minimum supported Python version from 3.7 -> 3.8
* `ODPManager` in the SDK is enabled by default. Unless an ODP account is integrated into the Optimizely projects, most `ODPManager` functions will be ignored. If needed, `ODPManager` can be disabled when `OptimizelyClient` is instantiated.
* `BaseConfigManager` abstract class now requires a get_sdk_key method. ([#413](https://github.com/optimizely/python-sdk/pull/413))
* `PollingConfigManager` requires either the sdk_key parameter or datafile containing an sdkKey. ([#413](https://github.com/optimizely/python-sdk/pull/413))
* Asynchronous `BatchEventProcessor` is now the default event processor. ([#378](https://github.com/optimizely/python-sdk/pull/378))

## 5.0.0-beta
Apr 28th, 2023

### New Features
### New Features

The 5.0.0-beta release introduces a new primary feature, [Advanced Audience Targeting]( https://docs.developers.optimizely.com/feature-experimentation/docs/optimizely-data-platform-advanced-audience-targeting) enabled through integration with [Optimizely Data Platform (ODP)](https://docs.developers.optimizely.com/optimizely-data-platform/docs) ([#395](https://github.com/optimizely/python-sdk/pull/395), [#398](https://github.com/optimizely/python-sdk/pull/398), [#402](https://github.com/optimizely/python-sdk/pull/402), [#403](https://github.com/optimizely/python-sdk/pull/403), [#405](https://github.com/optimizely/python-sdk/pull/405)).
The 5.0.0-beta release introduces a new primary feature, [Advanced Audience Targeting]( https://docs.developers.optimizely.com/feature-experimentation/docs/optimizely-data-platform-advanced-audience-targeting) enabled through integration with [Optimizely Data Platform (ODP)](https://docs.developers.optimizely.com/optimizely-data-platform/docs) ([#395](https://github.com/optimizely/python-sdk/pull/395), [#398](https://github.com/optimizely/python-sdk/pull/398), [#402](https://github.com/optimizely/python-sdk/pull/402), [#403](https://github.com/optimizely/python-sdk/pull/403), [#405](https://github.com/optimizely/python-sdk/pull/405)).

You can use ODP, a high-performance [Customer Data Platform (CDP)]( https://www.optimizely.com/optimization-glossary/customer-data-platform/), to easily create complex real-time segments (RTS) using first-party and 50+ third-party data sources out of the box. You can create custom schemas that support the user attributes important for your business, and stitch together user behavior done on different devices to better understand and target your customers for personalized user experiences. ODP can be used as a single source of truth for these segments in any Optimizely or 3rd party tool.
You can use ODP, a high-performance [Customer Data Platform (CDP)]( https://www.optimizely.com/optimization-glossary/customer-data-platform/), to easily create complex real-time segments (RTS) using first-party and 50+ third-party data sources out of the box. You can create custom schemas that support the user attributes important for your business, and stitch together user behavior done on different devices to better understand and target your customers for personalized user experiences. ODP can be used as a single source of truth for these segments in any Optimizely or 3rd party tool.

With ODP accounts integrated into Optimizely projects, you can build audiences using segments pre-defined in ODP. The SDK will fetch the segments for given users and make decisions using the segments. For access to ODP audience targeting in your Feature Experimentation account, please contact your Optimizely Customer Success Manager.
With ODP accounts integrated into Optimizely projects, you can build audiences using segments pre-defined in ODP. The SDK will fetch the segments for given users and make decisions using the segments. For access to ODP audience targeting in your Feature Experimentation account, please contact your Optimizely Customer Success Manager.

This version includes the following changes:
This version includes the following changes:

* New API added to `OptimizelyUserContext`:
* New API added to `OptimizelyUserContext`:

* `fetchQualifiedSegments()`: this API will retrieve user segments from the ODP server. The fetched segments will be used for audience evaluation. The fetched data will be stored in the local cache to avoid repeated network delays.
* When an `OptimizelyUserContext` is created, the SDK will automatically send an identify request to the ODP server to facilitate observing user activities.
* When an `OptimizelyUserContext` is created, the SDK will automatically send an identify request to the ODP server to facilitate observing user activities.

* New APIs added to `OptimizelyClient`:
* New APIs added to `OptimizelyClient`:

* `sendOdpEvent()`: customers can build/send arbitrary ODP events that will bind user identifiers and data to user profiles in ODP.

For details, refer to our documentation pages:
For details, refer to our documentation pages:

* [Advanced Audience Targeting](https://docs.developers.optimizely.com/feature-experimentation/docs/optimizely-data-platform-advanced-audience-targeting)
* [Server SDK Support](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/advanced-audience-targeting-for-server-side-sdks)
* [Initialize Python SDK](https://docs.developers.optimizely.com/feature-experimentation/docs/initialize-sdk-python)
* [OptimizelyUserContext Python SDK](https://docs.developers.optimizely.com/feature-experimentation/docs/wip-fsodp-optimizelyusercontext-python)
* [Advanced Audience Targeting segment qualification methods](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/advanced-audience-targeting-segment-qualification-methods-python)
* [Send Optimizely Data Platform data using Advanced Audience Targeting](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/send-odp-data-using-advanced-audience-targeting-python)
* [Advanced Audience Targeting](https://docs.developers.optimizely.com/feature-experimentation/docs/optimizely-data-platform-advanced-audience-targeting)
* [Server SDK Support](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/advanced-audience-targeting-for-server-side-sdks)
* [Initialize Python SDK](https://docs.developers.optimizely.com/feature-experimentation/docs/initialize-sdk-python)
* [OptimizelyUserContext Python SDK](https://docs.developers.optimizely.com/feature-experimentation/docs/wip-fsodp-optimizelyusercontext-python)
* [Advanced Audience Targeting segment qualification methods](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/advanced-audience-targeting-segment-qualification-methods-python)
* [Send Optimizely Data Platform data using Advanced Audience Targeting](https://docs.developers.optimizely.com/feature-experimentation/v1.0/docs/send-odp-data-using-advanced-audience-targeting-python)

### Breaking Changes
### Breaking Changes

* `ODPManager` in the SDK is enabled by default. Unless an ODP account is integrated into the Optimizely projects, most `ODPManager` functions will be ignored. If needed, `ODPManager` can be disabled when `OptimizelyClient` is instantiated.
* `ODPManager` in the SDK is enabled by default. Unless an ODP account is integrated into the Optimizely projects, most `ODPManager` functions will be ignored. If needed, `ODPManager` can be disabled when `OptimizelyClient` is instantiated.
* `BaseConfigManager` abstract class now requires a get_sdk_key method. ([#413](https://github.com/optimizely/python-sdk/pull/413))
* `PollingConfigManager` requires either the sdk_key parameter or datafile containing an sdkKey. ([#413](https://github.com/optimizely/python-sdk/pull/413))
* Asynchronous `BatchEventProcessor` is now the default event processor. ([#378](https://github.com/optimizely/python-sdk/pull/378))
Expand Down
2 changes: 2 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,8 @@ Refer to the [Python SDK's developer documentation](https://docs.developers.opti

### Requirements

Version `5.0+`: Python 3.8+, PyPy 3.8+

Version `4.0+`: Python 3.7+, PyPy 3.7+

Version `3.0+`: Python 2.7+, PyPy 3.4+
Expand Down

0 comments on commit ceb8566

Please sign in to comment.