v4.2.0

Remove dependency on python-magic

Remove dependency on python-magic which requires having libmagic1 system dependency installed via sudo apt-get install libmagic1 or similar. The python library is not used.

v3.3.0

Remove dependency on python-magic

Remove dependency on python-magic which requires having libmagic1 system dependency installed via sudo apt-get install libmagic1 or similar. The library is not used as of the v3 release serie.

v4.1.0

• Add interest and language fields to experience and education schemas
• Add a function to utils that checks profile eligibility for searching or scoring
  • from hrflow.utils.searching import is_valid_for_searching
  • from hrflow.utils.scoring import is_valid_for_scoring
• generate_parsing_evaluation_report
  • Handle the evaluation of indexed jobs in a board
  • Update profile parsing evaluation by changing person (=first_name & last_name) score to full_name score (filling full_name field in parsing)
  • Fix the way the location fill rate is calculated at the root of the profile, which used to result in a constant score of 1. Now it looks at the filling of the location text field for the profile. The location score for experiences & educations was not affected by this bug.

v4.0.1

• In file parsing :
  • Use File object instead of bytes (replace file.read() by file)
  • Handle BytesIO objet with no file name
  • Infer filename base on File object
  • Add some tests (multi format resumes)
  • Improve docs
  • Fix bug that hard code the person score in parsing evaluation

v4.0.0

• Add parsing evaluation & Function to generate the Excel report in hrflow.utils
• Add limit rate for each endpoint
• Add Job/Profile schemas

v3.2.1

• Add backwards compatibility with the text parameter in Text Parsing.

v3.2.0

• Migrate on Poetry
• Add Ask endpoint
• Add Auth endpoint
• Add Unfold endpoint
• Handle batch in tagging
• Fix typo in README.md
• Create a testsuite

v3.1.1

• Added detailed Profile and Objects fields description in storing endpoints
• To be able to seamlessly index Profiles & Jobs from structured sources in HrFlow.ai

v3.1.0

HRFlow API Version 3.1.0 Release Notes

Minor Version Update - Improved Profile and Job Updates

In the 3.1.0 version of the HRFlow API, we have made a minor enhancement to the update process for both Profiles and Jobs. Now, when updating a Profile or a Job, it is no longer mandatory to provide the key as a keyword argument. This change offers more flexibility and ease of use when updating objects.

Key Features and Changes:

• Profiles and Jobs can now be updated using either the key or reference as a keyword argument.
• The update process is now more flexible and allows for simpler object updates.
• This version is backward compatible, and the key is still accepted as a keyword argument.

For detailed information on how to use the updated update functionality, please refer to the latest version of the API documentation and examples.

We recommend all users to update to this latest version to take advantage of the improved object update process. Thank you for your continued support and feedback.

For more information, detailed API documentation, and examples, please visit our GitHub repository.

If you have any questions or need assistance, please reach out to us at integrations@hrflow.ai.

v3.0.0

🎉 New Features:

• Introduced new API Tracking: Allows you to track a Profile (or a Job) for Job (or a Profile) as a recruiter (or a candidate) with a specific action. For more details, refer to the Tracking API Documentation.
• Introduced new API Rating: Enables you to rate a Profile (or a Job) for Job (or a Profile) as a recruiter (or a candidate) with a score between 0 and 1. For more information, visit the Rating API Documentation.

⚠️ Breaking Changes:

• The resource indexing in both profile and job has been renamed to storing. It still offers the same functionality (with the same methods) and has introduced a new list method. This method allows you to apply additional filters when querying objects in the HrFlow.ai data warehouses (Sources and Boards).

🤝 Getting Started Notebooks:

• Added notebooks with examples to provide hands-on usage of the SDK and demonstrate how to use each module of our suite for both profiles and jobs. You can find the notebooks in the examples folder at the root of the project.

We encourage all users to upgrade to this latest version to take advantage of the new features and improvements. For more information, please refer to the updated documentation and examples.
Thank you for your continued support and feedback.

For more information and detailed API documentation, visit our GitHub repository.

If you have any questions or need assistance, please reach out to us at integrations@hrflow.ai.