#OSSbyMAIF

meteole

Features:

• Allow user to specify the directory where to store the API result before un-gribbing it #28 by @ThomasBouche in #33
• Support for Météo-France models PIAF and AROME INSTANTANE #26 by @GratienDSX in #27

Fixes:

• Tests run in 2s instead of 20s by @yoyonel in #34
• Wrong function name to fetch bulletin #29 by @TimKeff in #31
• Wrong argument in a tutorial #30 by @TimKeff in #32

meteole

Features :

• Raise ImportError with clear help when cfgrib not installed (#11)
• Remove deprecated property .indicators (#23)

Documentation :

• Update README.md (#20, #22)
• Details on logger usage (#25)
• Details on latitude/longitude arguments (#25)

izanami

🚫 Limit allowed user input for multiple fields

🎛️ Improve oauth2 support

💻 OAuth / OIDC is now configurable from UI

meteole

Release v0.1.0b1 - Meteole

We are excited to announce the first release of Meteole, a Python library designed to simplify access to weather data from the Météo-France APIs. With Meteole, you can effortlessly integrate weather forecasts into your projects thanks to its powerful and intuitive features:

• Automated token management: Simplify authentication with a single application_id.
• Unified model usage: Access AROME and ARPEGE forecasts through a consistent interface.
• User-friendly parameter handling: Intuitively manage key weather forecasting parameters.
• Seamless data integration: Directly export forecasts as Pandas DataFrames.
• Vigilance bulletins: Retrieve real-time weather warnings across France.

Whether you are a data scientist, meteorologist, or developer, Meteole is the perfect tool to effortlessly integrate weather forecasts into your projects.

izanami

🪡 Allow specifying ID for new features

🧳 Standalone docker image for testing / demo

arta

Features:

• Add a new configuration setting for rule execution: rule_activation_mode (#38) by @develop-cs in https://github.com/MAIF/arta/pull/40

Maintenance:

• Use true Pydantic V2 (or Pydantic V1) models (#16) by @roman2git in https://github.com/MAIF/arta/pull/37
• DeprecationWarning added about Pydantic V1 by @develop-cs in https://github.com/MAIF/arta/pull/39
• Python 3.13 compatibility

Documentation:

• Use your business objects (#35) by @guilieb in https://github.com/MAIF/arta/pull/36
• Rule activation mode by @develop-cs in https://github.com/MAIF/arta/pull/40

Breaking change:

• Because of using StringConstraints (w/ Pydantic V2) rather than constr(), we can't use plain YES or NO (YAML booleans) as rule ids anymore. Use "YES" or "NO" instead in your YAML file.

IMPORTANT Arta + Pydantic V1 + Python 3.13 is not supported because Pydantic V1 is not supported for Python > 3.12 (issue 9663).

izanami

📝 Audit log for flags (more details)

🔎 Allow restricting search results by types

📋 Search history

🆔 Search by feature / project ID

izanami

✨ Non-boolean (text / numeric) flags

🛂 Personal access tokens

🔒 Password protect sensitive operations

izanami

🔎 Global search bar

📦 Export / import tenant data between V2 instances

arta

Fixes:

• Simple condition: an error occurs when the field is of type camelCase or PascalCase by @meriemjebali in https://github.com/MAIF/arta/pull/32

Documentation:

• Explain how to ignore rules by @develop-cs in https://github.com/MAIF/arta/pull/30
• Fix some code in A Simple Example page by @develop-cs in https://github.com/MAIF/arta/pull/34

arta

Features:

• Add a new parameter config_dict to the RulesEngine's constructor. It can be used when you have already loaded the YAML configuration in a dictionary and want to use it straightforward.
• Add a new parameter ignored_rules to the apply_rules() method. It can be used to easily disable a rule by its id.
• Split a rule set in two (or more) files (keep the rules organized by their file names [alphabetically sorted]).

Fixes:

• Simple condition: an error occurs when the right operand is an uppercase string (e.g., input.text=="LABEL").

Refactoring:

• Function sanitize_regex() is converted to an instance method get_sanitized_id() of BaseCondition class.

shapash

Major features announcements in this release are:

• Contribution Plot Improvement: Enhanced the contribution plot to provide more insightful visualizations.
• Shapash Report Enhancement: Upgraded the Shapash report with new functionalities and optimizations.

arta

Features:

• Configure your rules in a YAML file or use a straightforward python dictionary.
• Use "standard conditions" (YAML defined conditions) for flexibility.
• Use "simple conditions" (one-liner conditions) for simplicity (beta feature).
• Use math expressions in "simple conditions" (#25).
• Implement your own "custom conditions" (python classes) for adaptability.
• Define your own parameter's parsing strategy (raise, ignore, default value).
• Use many rule sets as you need.

Fixes:

• You can now use whitespaces in a string within a simple condition (e.g., input.text=="super hero") (#23).

izanami

• 🔌 Webhooks

izanami

• 🏷️ Add / remove tags from multiple features
• 🔎 Project search bar

arta

Features:

• Configure your rules in a YAML file or use a straightforward python dictionary.
• Use "standard conditions" (YAML defined conditions) for flexibility.
• Use "simple conditions" (one-liner conditions) for simplicity (beta feature).
• Implement your own "custom conditions" (python classes) for adaptability.
• Define your own parameter's parsing strategy (raise, ignore, default value).
• Use many rule sets as you need.

wasmo

Added Features

• Support for Wss Protocol: with the added support for the Wss protocol, the user interface now has the capability to communicate seamlessly with a Wasmo instance deployed using HTTPS
• Exposing Wasmo Behind Proxy: Specify baseURL to expose Wasmo behind a proxy effortlessly.
• New Plugin Creation via CLI: Start a new plugin directly using the CLI, with Izanami and Otoroshi templates available for quick setup.
• Upgrade all Extism PDK Versions: Stay up-to-date with upgraded Extism PDK versions for improved performance and compatibility.

shapash

Major announcements in this release are :

• Shapash support Python 3.11
  
• Shapash can compute Shapeley values through Shap for any model supported by Shap