This pull request fixes an issue where the brain activation and value
handling were not working correctly. The `BrainInput` model now allows
for optional activation and value fields, and an empty string is
converted to `None` using a root validator. This ensures that brain
activation and value can be properly handled in the application.
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### Summary:
This PR modifies the `BrainInput` class in
`/backend/modules/assistant/dto/inputs.py` to make `activated` and
`value` fields optional and adds a root validator to convert empty
strings to `None`.
**Key points**:
- Modified `BrainInput` class in
`/backend/modules/assistant/dto/inputs.py`
- Made `activated` and `value` fields optional with default values
- Added root validator `empty_string_to_none` to convert empty strings
to `None`
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This pull request adds functionality to update user usage and calculate
pricing in the ITO assistant. It includes a new method
`increase_usage_user()` that raises an error if the user has consumed
all of their credits, and a new method `calculate_pricing()` that
returns a fixed pricing value of 20.
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commit ee5fdf70f6. |
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### Summary:
This PR adds functionality to update user usage and calculate pricing in
the ITO assistant, with new methods in the `ITO` class and an update to
where the `increase_usage_user()` method is called.
**Key points**:
- Added `increase_usage_user()` and `calculate_pricing()` methods to
`ITO` class in `/backend/modules/assistant/ito/ito.py`
- `increase_usage_user()` updates user usage and raises an error if all
credits are consumed
- `calculate_pricing()` returns a fixed pricing value of 20
- `increase_usage_user()` is now called in the `ITO` class constructor
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This pull request adds new input models for boolean, number, select
text, and select number. These models will allow for more flexible and
dynamic input options in the software. The changes include the addition
of the `InputBoolean`, `InputNumber`, `InputSelectText`, and
`InputSelectNumber` classes to the `Inputs` model. These classes provide
properties for key, required, description, and additional options
specific to each input type. This enhancement will improve the overall
functionality and user experience of the software.
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description was created by [Ellipsis](https://www.ellipsis.dev) for
commit 6fa583b6a8. |
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### Summary:
This PR enhances the `Inputs` model by adding new input models for
boolean, number, select text, and select number, improving the
software's functionality and user experience.
**Key points**:
- Added `InputBoolean`, `InputNumber`, `InputSelectText`, and
`InputSelectNumber` classes to `Inputs` model in `inputs.py` and
`outputs.py`.
- Each new class provides properties for key, required, description, and
additional options specific to each input type.
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This pull request adds an icon and description to the assistant. The
icon is displayed in the user interface and the description provides
additional information about the assistant.
This pull request adds a new optional field "tags" to the
AssistantOutput classes. The "tags" field allows for categorizing the
outputs and can be used for filtering or organizing purposes.
…dio_transcript and crawler assistants
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
# Description
Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.
## Checklist before requesting a review
Please delete options that are not relevant.
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged
## Screenshots (if appropriate):
