Release/v0.17.0 #169
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Update agent work time and requester wait time business hours models
bug/intercepted-period-joins
* bugfix/too-many-partitions * docs regen * Update CHANGELOG.md Co-authored-by: fivetran-catfritz <[email protected]> --------- Co-authored-by: fivetran-catfritz <[email protected]>
* MagicBot/documentation-updates * Apply suggestions from code review * Update README.md Co-authored-by: fivetran-catfritz <[email protected]> --------- Co-authored-by: fivetran-catfritz <[email protected]>
7 tasks
Co-authored-by: Joe Markiewicz <[email protected]>
Feature/unstructured data
fivetran-joemarkiewicz
approved these changes
Sep 3, 2024
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Thanks for all the effort here @fivetran-catfritz!
These changes look good to me. This is ready for release review and rollout!
fivetran-reneeli
requested changes
Sep 4, 2024
models/sla_policy/requester_wait_time/int_zendesk__requester_wait_time_business_hours.sql
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CHANGELOG.md
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| - `chunk`: The text chunk itself | ||
| - `chunk_tokens_approximate`: Approximate token count for each segment | ||
| - This model is currently disabled by default. You may enable it by setting the `zendesk__unstructured_enabled` variable as `true` in your `dbt_project.yml`. | ||
| - This model was developed to limit the chunk sizes to approximately 5000 tokens for use with OpenAI, however you can change this limit by setting the variable `zendesk_max_tokens` in your `dbt_project.yml`. |
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Are we only intending to use Zendesk NLP with Open AI which I feel is the language here? Or we want to be agnostic.
I would also reword it to the following:
This model was developed with the limit of chunk sizes to approximately 5000 tokens for use with OpenAI, however you can change this limit by setting the variable `zendesk_max_tokens` in your `dbt_project.yml`.
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Thanks! updated.
CHANGELOG.md
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| ## Under the hood | ||
| - Added integrity validations: | ||
| - Test to ensure `zendesk__sla_policies` and `zendesk__ticket_metrics` models produce consistent time results. ([#164](https://github.com/fivetran/dbt_zendesk/pull/164)) | ||
| - Test to ensure `zendesk__ticket_metrics` contains all the tickets found in `stg_zendesk__ticket`. |
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Also add PR link here?
models/resolution_times/int_zendesk__ticket_first_resolution_time_business.sql
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Co-authored-by: Renee Li <[email protected]>
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Thanks for the review @fivetran-reneeli! I added comments inline to address your questions and also made the changelog updates you suggested. Let me know if it all looks good!
models/sla_policy/requester_wait_time/int_zendesk__requester_wait_time_business_hours.sql
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CHANGELOG.md
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| - `chunk`: The text chunk itself | ||
| - `chunk_tokens_approximate`: Approximate token count for each segment | ||
| - This model is currently disabled by default. You may enable it by setting the `zendesk__unstructured_enabled` variable as `true` in your `dbt_project.yml`. | ||
| - This model was developed to limit the chunk sizes to approximately 5000 tokens for use with OpenAI, however you can change this limit by setting the variable `zendesk_max_tokens` in your `dbt_project.yml`. |
There was a problem hiding this comment.
Thanks! updated.
CHANGELOG.md
Outdated
| ## Under the hood | ||
| - Added integrity validations: | ||
| - Test to ensure `zendesk__sla_policies` and `zendesk__ticket_metrics` models produce consistent time results. ([#164](https://github.com/fivetran/dbt_zendesk/pull/164)) | ||
| - Test to ensure `zendesk__ticket_metrics` contains all the tickets found in `stg_zendesk__ticket`. |
fivetran-reneeli
approved these changes
Sep 4, 2024
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PR Overview
This release branch contains PRs:
For specifics and validation details, refer to the above linked PRs.