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CHANGELOG
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# Changelog
## v2.11.0
### Improvements
- Add support for Python 3.10, 3.11, and 3.12. End support Python for
3.7 and 3.8.
## v2.10.0
### Improvements
- Add TabPy parameter (TABPY_MINIMUM_TLS_VERSION) to specify the minimum TLS
version that the server will accept for secure connections. Default is
set to TLSv1_2.
## v2.9.0
### Improvements
- Require confirmation to continue when starting TabPy without authentication,
with a warning that this is an insecure state and not recommended.
## v2.8.0
### Improvements
- Returns 413 error code when request payload exceeds
TABPY_MAX_REQUEST_SIZE_MB config setting.
## v2.7.0
### Improvements
- Adds support for data streaming in Arrow columnar format via Apache
Arrow Flight.
## v2.6.0
### Improvements
- Fixes deprecation of sklearn in favor of current package name
scikit-learn
## v2.5.1
### Improvements
- Gzip encoded requests are now supported by default. This can be disabled in
the config file.
- The INFO method will return the enabled status of features.
## v2.5.0
### Improvements
- A server with Adhoc Disabled Flag on with the wrong credentials will now
return wrong credentials error instead of telling the user
that Adhoc Scripts are not allowed on this server.
- Added documentation for how to run TabPy projects with local changes
### Breaking changes
- Discontinued support for Python 3.6
- Added support for Python 3.9
## v2.4.0
### Improvements
- Add toggle to turn off evaluate API.
### Breaking changes
- Changing error code to 406 when server not configured for authentication
but credentials are provided by client.
## v2.3.2
### Improvements
- Test files added to tar.gz and zip releases.
## v2.3.1
### Bug fixes
- Overriding deployed models.
## v2.3.0
### Improvements
- Fixed scrutinizer test run failure.
## v2.2.0
### Breaking changes
- TabPy fails with 400 when it is not configure for authentication
but credentials are provided by client.
### Bug fixes
- When TabPy is running with no console attached it is not failing
with 500 when trying to respond with 401 status.
- tabpy.query() failing when auth is configured.
### Improvements
- Minor code cleanup.
## v1.1.0
### Improvements
- Authorization is now required for the /info API method.
This method did not check authentication previously. This change is
backwards compatible with Tableau clients.
- Improved config parsing flexibility. Previously the
TABPY_EVALUATE_TIMEOUT setting would be set to a default if
tabpy couldn't parse the value. Now it will throw an exception
at startup.
## v1.0.0
### Improvements
- Minor: feature name changed to analytics extensions.
- Startup script files deleted.
- Index page updated.
### Other
- TabPy is now Tableau Supported (used to be Community Supported).
## v0.9.0
### Improvements
- Models deployment doesn't depend on pip._internal anymore.
- Package size reduced.
## v0.8.13
### Improvements
- TabPy works with Python 3.8 now.
- Documentation updates with referencing Tableau Help pages.
- Added Client.remove() method for deleting deployed models.
### Bug Fixes
- Fixed failing Ctrl+C handler.
- Fixed query_timeout bug.
- Fixed None in result collection bug.
- Fixed script evaluation with missing result/return bug.
- Fixed startup failure on Windows for Python 3.8.
## v0.8.9
### Improvements
- Added Ctrl+C handler
- Added configurable buffer size for HTTP requests
- Added anvoa to supported pre-deployed models in tabpy
## v0.8.7
### Improvements
- Enabled the use of environment variables in the config file.
## v0.8.6
### Fixes
- Fixed file names for package building.
- Fixed reading version info for /info call.
## v0.8
### Improvements
- TabPy is pip package now
- Models are deployed with updated script
## v0.7
### Improvements
- Added t-test model
- Fixed models call with /evaluate for HTTPS
- Migrated to Tornado 6
- Timeout is configurable with TABPY_EVALUATE_TIMEOUT config
file option
## v0.6.1
### Improvements
- Scripts, documentation, and integration tests for models
- Small bug fixes
- Added request context logging as a feature controlled with
TABPY_LOG_DETAILS configuration setting.
- Updated documentation for /info method and v1 API.
- Added integration tests.
## v0.4
### Improvements
- Added basic access authentication (all methods except /info)
- tabpy-tools can deploy models to TabPy with authentication on
- Increased unit tests coverage
- Travis CI for merge requests: unit tests executed, code style checking
## v0.3.2
### Breaking changes
- Logger configuration now is in TabPy config file.
### Improvements
- Remove versioneer and just replace it with VERSION file
- Require Python 3.6.5
- Require jsonschema to be compatible with 2.3.0
- Added setup instructions (known issues) for CentOS
## v0.3.1
- Fixed dependency on tabpy-tools in startup scripts
- Fixed Python version dependency in tabpy-server setup script
## v0.3
### Breaking changes
- The config file is now not just Python code but an actual config
- Tornado config file has a different setting for CORS
- Setup scripts are deleted - setup (if needed) happens with the startup script
- tabpy-client is tabpy-tools now
### Improvements
- Secure connection (HTTPS) is supported with Tableau 2019.2 and newer versions
- Documentation is improved with more examples added
- Versioning is done with Versioneer and github release tags
- Improved logging
- Unit tests are passing now
- Configurations for Postman and Swagger are available to use those against running TabPy
## v0.2
- Initial version