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Feature/unstructured data #161
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{%- endmacro %} | ||
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{% macro default__count_tokens(column_name) %} | ||
{{ dbt.length(column_name) }} / 4 |
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Based on this doc and internal discussion, approximate count of tokens is appropriate.
# - package: fivetran/zendesk_source | ||
# version: [">=0.12.0", "<0.13.0"] | ||
- git: https://github.com/fivetran/dbt_zendesk_source.git | ||
revision: feature/unstructured-data | ||
warn-unpinned: false |
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# - package: fivetran/zendesk_source | |
# version: [">=0.12.0", "<0.13.0"] | |
- git: https://github.com/fivetran/dbt_zendesk_source.git | |
revision: feature/unstructured-data | |
warn-unpinned: false | |
- package: fivetran/zendesk_source | |
version: [">=0.12.0", "<0.13.0"] |
ticket_comment_id, | ||
ticket_id, | ||
comment_time, | ||
case when comment_tokens > {{ var('max_tokens', 7500) }} then left(comment_markdown, {{ var('max_tokens', 7500) }} * 4) -- approximate 4 characters per token |
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using left()
instead of substring()
since it's easier to deal with across warehouses and does the same thing since we're just truncating.
unstructured: | ||
+schema: zendesk_unstructured | ||
+materialized: table |
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Let's sync on this default schema
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From our discussion, leaving this as-is so it is separated.
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@fivetran-joemarkiewicz Thank you for reviewing! I also updated the changelog with the changes from the source.
unstructured: | ||
+schema: zendesk_unstructured | ||
+materialized: table |
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From our discussion, leaving this as-is so it is separated.
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@fivetran-catfritz great work on this PR. Just a few final comments and suggestions before approval. Let me know if you have any questions!
README.md
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@@ -37,6 +37,7 @@ The following table provides a detailed list of final models materialized within | |||
| [zendesk__ticket_backlog](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__ticket_backlog) | A daily historical view of the ticket field values defined in the `ticket_field_history_columns` variable for all backlog tickets. Backlog tickets being defined as any ticket not in a 'closed', 'deleted', or 'solved' status. | | |||
| [zendesk__ticket_field_history](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__ticket_field_history) | A daily historical view of the ticket field values defined in the `ticket_field_history_columns` variable and the corresponding updater fields defined in the `ticket_field_history_updater_columns` variable. | | |||
| [zendesk__sla_policies](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__sla_policies) | Each record represents an SLA policy event and additional sla breach and achievement metrics. Calendar and business hour SLA breaches are supported. | |||
| zendesk__document | Each record represents a chunk of text from ticket data, prepared for vectorization. It includes fields for use in NLP workflows. Disabled by default. | |
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@elanfivetran this won't be available yet in Quickstart, yet it will be displayed in the UI via this table. Is that okay?
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@fivetran-catfritz would you be able to edit this to be the hyperlink to the package docs so users can see the table structure and documentation.
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@fivetran-joemarkiewicz this is related to my question below about having this in the manifest.
README.md
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@@ -91,6 +92,23 @@ vars: | |||
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## (Optional) Step 5: Additional configurations | |||
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### Enabling the unstructured document model for NLP | |||
This package includes the `zendesk__document` model, which processes and segments Zendesk text data for vectorization, making it suitable for NLP workflows. The model outputs structured chunks of text with associated document IDs, segment indices, and token counts. By default, this model is disabled. To enable it, update the `zendesk__unstructured_enabled` variable to true in your dbt_project.yml: |
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Similar note from above, can we include the dbt docs link to the table zendesk__document here so curious users can go and inspect the structure and documentation of the table.
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Also related to my manifest question.
@@ -24,6 +24,9 @@ models: | |||
ticket_history: | |||
+schema: zendesk_intermediate | |||
+materialized: ephemeral | |||
unstructured: | |||
+schema: zendesk_unstructured | |||
+materialized: table |
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Do we need all of these models to be materialized as tables? I definitely see the zendesk__document
needing to be, but do all the intermediate models as well?
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I'm really not sure, so I went with tables to be safe. I wasn't sure how demanding/large all that text data could get for a user, so open to suggestions on this one.
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Due to the nature of the end result, I think it makes sense to keep these as tables to help with the query load as best as we can. We can always adjust this default materialization based off feedback.
integration_tests/dbt_project.yml
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@@ -1,7 +1,7 @@ | |||
config-version: 2 | |||
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name: 'zendesk_integration_tests' | |||
version: '0.16.0' | |||
version: '0.17.0' |
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Can we add the variable configuration zendesk__unstructured_enabled: true
in the vars config here so it can be enabled when generating the docs.
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@fivetran-joemarkiewicz At the time I did this I thought we didn't want this added to the manifest, and therefore not the docs. Is this not the case?
Co-authored-by: Joe Markiewicz <74217849+fivetran-joemarkiewicz@users.noreply.github.com>
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Thanks @fivetran-joemarkiewicz. I applied your suggestions but also had a couple more questions!
integration_tests/dbt_project.yml
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@@ -1,7 +1,7 @@ | |||
config-version: 2 | |||
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name: 'zendesk_integration_tests' | |||
version: '0.16.0' | |||
version: '0.17.0' |
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@fivetran-joemarkiewicz At the time I did this I thought we didn't want this added to the manifest, and therefore not the docs. Is this not the case?
README.md
Outdated
@@ -37,6 +37,7 @@ The following table provides a detailed list of final models materialized within | |||
| [zendesk__ticket_backlog](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__ticket_backlog) | A daily historical view of the ticket field values defined in the `ticket_field_history_columns` variable for all backlog tickets. Backlog tickets being defined as any ticket not in a 'closed', 'deleted', or 'solved' status. | | |||
| [zendesk__ticket_field_history](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__ticket_field_history) | A daily historical view of the ticket field values defined in the `ticket_field_history_columns` variable and the corresponding updater fields defined in the `ticket_field_history_updater_columns` variable. | | |||
| [zendesk__sla_policies](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__sla_policies) | Each record represents an SLA policy event and additional sla breach and achievement metrics. Calendar and business hour SLA breaches are supported. | |||
| zendesk__document | Each record represents a chunk of text from ticket data, prepared for vectorization. It includes fields for use in NLP workflows. Disabled by default. | |
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@fivetran-joemarkiewicz this is related to my question below about having this in the manifest.
README.md
Outdated
@@ -91,6 +92,23 @@ vars: | |||
|
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## (Optional) Step 5: Additional configurations | |||
|
|||
### Enabling the unstructured document model for NLP | |||
This package includes the `zendesk__document` model, which processes and segments Zendesk text data for vectorization, making it suitable for NLP workflows. The model outputs structured chunks of text with associated document IDs, segment indices, and token counts. By default, this model is disabled. To enable it, update the `zendesk__unstructured_enabled` variable to true in your dbt_project.yml: |
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Also related to my manifest question.
@@ -24,6 +24,9 @@ models: | |||
ticket_history: | |||
+schema: zendesk_intermediate | |||
+materialized: ephemeral | |||
unstructured: | |||
+schema: zendesk_unstructured | |||
+materialized: table |
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I'm really not sure, so I went with tables to be safe. I wasn't sure how demanding/large all that text data could get for a user, so open to suggestions on this one.
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@fivetran-joemarkiewicz I updated the readme to anticipate zendesk__document
being included in the docs and add in the links and will merge into the release branch if it looks good! I will regen the docs in the release branch.
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LGTM!
PR Overview
This PR will address the following Issue/Feature:
This PR will result in the following new package version:
Please provide the finalized CHANGELOG entry which details the relevant changes included in this PR:
PR Checklist
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Please acknowledge that you have successfully performed the following commands locally:
&& dbt testdbt run (if incremental models are present) && dbt testBefore marking this PR as "ready for review" the following have been applied:
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