From 0b73c19d63c429c0c00ad1411c84f0e62c412af7 Mon Sep 17 00:00:00 2001
From: fivetran-catfritz <111930712+fivetran-catfritz@users.noreply.github.com>
Date: Wed, 4 Sep 2024 15:35:45 -0500
Subject: [PATCH] Release/v0.17.0 (#169)
* initial
* feature/unstructured-data
* add coalesce_cast
* update filters
* update and consolidate models
* model revisions
* restructure
* documentation
* remove extra comma
* regen docs
* formatting
* update max token docs
* Update CHANGELOG.md
* bug/missing-sla-policies
* update changelog and add integrity test
* update test
* update changelog, readme and tests
* update test
* bug/intercepted-period-joins
* adjustmnt
* update weeks
* update weeks
* add integrity test
* update weeks
* update changelog
* bugfix/too-many-partitions (#165)
* bugfix/too-many-partitions
* docs regen
* Update CHANGELOG.md
Co-authored-by: fivetran-catfritz <111930712+fivetran-catfritz@users.noreply.github.com>
---------
Co-authored-by: fivetran-catfritz <111930712+fivetran-catfritz@users.noreply.github.com>
* update changelog
* revert docs to main
* Documentation Standard Updates (#166)
* MagicBot/documentation-updates
* Apply suggestions from code review
* Update README.md
Co-authored-by: fivetran-catfritz <111930712+fivetran-catfritz@users.noreply.github.com>
---------
Co-authored-by: fivetran-catfritz <111930712+fivetran-catfritz@users.noreply.github.com>
* update default max_tokens
* update changelog
* Apply suggestions from code review
Co-authored-by: Joe Markiewicz <74217849+fivetran-joemarkiewicz@users.noreply.github.com>
* update readme
* regen docs
* update yml
* Apply suggestions from code review
Co-authored-by: Renee Li <91097070+fivetran-reneeli@users.noreply.github.com>
* add comments and update changelog
* update changelog
* Update packages.yml
---------
Co-authored-by: Renee Li
Co-authored-by: Joe Markiewicz <74217849+fivetran-joemarkiewicz@users.noreply.github.com>
Co-authored-by: Renee Li <91097070+fivetran-reneeli@users.noreply.github.com>
---
.buildkite/pipeline.yml | 2 +-
.buildkite/scripts/run_models.sh | 2 +-
.github/ISSUE_TEMPLATE/bug-report.yml | 23 ++++-
.github/ISSUE_TEMPLATE/feature-request.yml | 11 ++-
.../maintainer_pull_request_template.md | 1 -
.github/pull_request_template.md | 10 ++-
.quickstart/quickstart.yml | 9 ++
CHANGELOG.md | 39 +++++++++
README.md | 85 ++++++++++++-------
dbt_project.yml | 5 +-
docs/catalog.json | 2 +-
docs/index.html | 47 +++-------
docs/manifest.json | 2 +-
docs/run_results.json | 2 +-
integration_tests/dbt_project.yml | 6 +-
integration_tests/seeds/ticket_data.csv | 2 +-
.../seeds/ticket_field_history_data.csv | 19 ++++-
integration_tests/seeds/user_data.csv | 4 +-
.../consistency/consistency_sla_policies.sql | 62 +++++++++-----
.../consistency_sla_policy_count.sql | 13 +--
.../tests/integrity/metrics_count_match.sql | 24 ++++++
.../tests/integrity/sla_metrics_parity.sql | 36 ++++++++
macros/coalesce_cast.sql | 12 +++
macros/count_tokens.sql | 7 ++
...int_zendesk__ticket_work_time_business.sql | 10 +--
...desk__ticket_first_reply_time_business.sql | 4 +-
..._ticket_first_resolution_time_business.sql | 26 +++---
...__ticket_full_resolution_time_business.sql | 6 +-
...endesk__agent_work_time_business_hours.sql | 18 ++--
...sk__requester_wait_time_business_hours.sql | 20 +++--
.../int_zendesk__field_calendar_spine.sql | 2 +-
.../int_zendesk__field_history_pivot.sql | 2 +-
.../int_zendesk__ticket_comment_document.sql | 60 +++++++++++++
...desk__ticket_comment_documents_grouped.sql | 32 +++++++
.../int_zendesk__ticket_document.sql | 42 +++++++++
models/unstructured/zendesk__document.sql | 27 ++++++
models/unstructured/zendesk_unstructured.yml | 14 +++
models/zendesk.yml | 4 +
models/zendesk__ticket_field_history.sql | 2 +-
packages.yml | 3 +-
40 files changed, 540 insertions(+), 157 deletions(-)
create mode 100644 integration_tests/tests/integrity/metrics_count_match.sql
create mode 100644 integration_tests/tests/integrity/sla_metrics_parity.sql
create mode 100644 macros/coalesce_cast.sql
create mode 100644 macros/count_tokens.sql
create mode 100644 models/unstructured/intermediate/int_zendesk__ticket_comment_document.sql
create mode 100644 models/unstructured/intermediate/int_zendesk__ticket_comment_documents_grouped.sql
create mode 100644 models/unstructured/intermediate/int_zendesk__ticket_document.sql
create mode 100644 models/unstructured/zendesk__document.sql
create mode 100644 models/unstructured/zendesk_unstructured.yml
diff --git a/.buildkite/pipeline.yml b/.buildkite/pipeline.yml
index 985bfc37..281f1d42 100644
--- a/.buildkite/pipeline.yml
+++ b/.buildkite/pipeline.yml
@@ -58,7 +58,7 @@ steps:
commands: |
bash .buildkite/scripts/run_models.sh redshift
- - label: ":bricks: Run Tests - Databricks"
+ - label: ":databricks: Run Tests - Databricks"
key: "run_dbt_databricks"
plugins:
- docker#v3.13.0:
diff --git a/.buildkite/scripts/run_models.sh b/.buildkite/scripts/run_models.sh
index 719ead40..c760fd7e 100644
--- a/.buildkite/scripts/run_models.sh
+++ b/.buildkite/scripts/run_models.sh
@@ -19,7 +19,7 @@ dbt deps
dbt seed --target "$db" --full-refresh
dbt run --target "$db" --full-refresh
dbt test --target "$db"
-dbt run --vars '{using_schedules: false, using_domain_names: false, using_user_tags: false, using_ticket_form_history: false, using_organization_tags: false}' --target "$db" --full-refresh
+dbt run --vars '{zendesk__unstructured_enabled: true, using_schedules: false, using_domain_names: false, using_user_tags: false, using_ticket_form_history: false, using_organization_tags: false}' --target "$db" --full-refresh
dbt test --target "$db"
dbt run-operation fivetran_utils.drop_schemas_automation --target "$db"
\ No newline at end of file
diff --git a/.github/ISSUE_TEMPLATE/bug-report.yml b/.github/ISSUE_TEMPLATE/bug-report.yml
index 17c2c545..38c56bc8 100644
--- a/.github/ISSUE_TEMPLATE/bug-report.yml
+++ b/.github/ISSUE_TEMPLATE/bug-report.yml
@@ -1,7 +1,7 @@
name: 🐞 Bug
description: Report a bug or an issue you've found within the dbt package
title: "[Bug] "
-labels: ["bug", "triage"]
+labels: ["type:bug"]
body:
- type: markdown
attributes:
@@ -35,6 +35,12 @@ body:
description: A concise description of what you expected to happen.
validations:
required: true
+ - type: textarea
+ attributes:
+ label: Possible solution
+ description: Were you able to investigate and/or discover a potential fix to this bug in your investigation? If so, it would be much appreciated if you could submit code samples to show us how your fix resolved this issue.
+ validations:
+ required: false
- type: textarea
attributes:
label: dbt Project configurations
@@ -61,6 +67,19 @@ body:
- other (mention it in "Additional Context")
validations:
required: true
+ - type: dropdown
+ id: orchestration_type
+ attributes:
+ label: How are you running this dbt package?
+ multiple: true
+ options:
+ - Fivetran Quickstart Data Model
+ - Fivetran Transformations
+ - dbt Core™
+ - dbt Cloud™
+ - other (mention it in "Additional Context")
+ validations:
+ required: true
- type: textarea
attributes:
label: dbt Version
@@ -83,6 +102,6 @@ body:
description: Our team will assess this issue and let you know if we will add it to a future sprint. However, if you would like to expedite the solution, we encourage you to contribute to the package via a PR. Our team will then work with you to approve and merge your contributions as soon as possible.
options:
- label: Yes.
- - label: Yes, but I will need assistance and will schedule time during our [office hours](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) for guidance
+ - label: Yes, but I will need assistance.
- label: No.
required: false
\ No newline at end of file
diff --git a/.github/ISSUE_TEMPLATE/feature-request.yml b/.github/ISSUE_TEMPLATE/feature-request.yml
index a1d28bbb..529e9bc5 100644
--- a/.github/ISSUE_TEMPLATE/feature-request.yml
+++ b/.github/ISSUE_TEMPLATE/feature-request.yml
@@ -1,7 +1,7 @@
name: 🎉 Feature
description: Suggest a new feature for the Fivetran dbt package
title: "[Feature] "
-labels: ["enhancement"]
+labels: ["type:enhancement"]
body:
- type: markdown
attributes:
@@ -20,6 +20,13 @@ body:
description: A clear and concise description of what you want to happen and why you want the new feature.
validations:
required: true
+ - type: textarea
+ attributes:
+ label: How would you implement this feature?
+ description: |
+ How would you build out this feature with your existing data? Any code examples you can provide to help accelerate development on this issue?
+ validations:
+ required: true
- type: textarea
attributes:
label: Describe alternatives you've considered
@@ -34,7 +41,7 @@ body:
description: Our team will assess this feature and let you know if we will add it to a future sprint. However, if you would like to expedite the feature, we encourage you to contribute to the package via a PR. Our team will then work with you to approve and merge your contributions as soon as possible.
options:
- label: Yes.
- - label: Yes, but I will need assistance and will schedule time during your [office hours](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) for guidance.
+ - label: Yes, but I will need assistance.
- label: No.
required: false
- type: textarea
diff --git a/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md b/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md
index 1e22b099..32206744 100644
--- a/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md
+++ b/.github/PULL_REQUEST_TEMPLATE/maintainer_pull_request_template.md
@@ -16,7 +16,6 @@ Please acknowledge that you have successfully performed the following commands l
Before marking this PR as "ready for review" the following have been applied:
- [ ] The appropriate issue has been linked, tagged, and properly assigned
- [ ] All necessary documentation and version upgrades have been applied
-
- [ ] docs were regenerated (unless this PR does not include any code or yml updates)
- [ ] BuildKite integration tests are passing
- [ ] Detailed validation steps have been provided below
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index 59f617df..30849fd0 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -19,7 +19,13 @@
- [ ] Yes
-**Provide an emoji that best describes your current mood**
+**Typically there are additional maintenance changes required before this will be ready for an upcoming release. Are you comfortable with the Fivetran team making a few commits directly to your branch?**
+
+
+- [ ] Yes
+- [ ] No
+
+**If you had to summarize this PR in an emoji, which would it be?**
:dancer:
@@ -30,4 +36,4 @@ We are so excited you decided to contribute to the Fivetran community dbt packag
**PR Template**
- [Community Pull Request Template](?expand=1&template=pull_request_template.md) (default)
-- [Maintainer Pull Request Template](?expand=1&template=maintainer_pull_request_template.md) (to be used by maintainers)
\ No newline at end of file
+- [Maintainer Pull Request Template](?expand=1&template=maintainer_pull_request_template.md) (to be used by maintainers)
diff --git a/.quickstart/quickstart.yml b/.quickstart/quickstart.yml
index 31e9561f..a2c8a71b 100644
--- a/.quickstart/quickstart.yml
+++ b/.quickstart/quickstart.yml
@@ -23,3 +23,12 @@ destination_configurations:
dispatch:
- macro_namespace: dbt_utils
search_order: [ 'spark_utils', 'dbt_utils' ]
+
+public_models: [
+ "zendesk__ticket_enriched",
+ "zendesk__ticket_metrics",
+ "zendesk__ticket_summary",
+ "zendesk__ticket_field_history",
+ "zendesk__sla_policies",
+ "zendesk__ticket_backlog"
+]
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 0e56c6d2..ce0ab3ed 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,3 +1,42 @@
+# dbt_zendesk v0.17.0
+
+## New model ([#161](https://github.com/fivetran/dbt_zendesk/pull/161))
+- Addition of the `zendesk__document` model, designed to structure Zendesk textual data for vectorization and integration into NLP workflows. The model outputs a table with:
+ - `document_id`: Corresponding to the `ticket_id`
+ - `chunk_index`: For text segmentation
+ - `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 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`.
+ - See the README section [Enabling the unstructured document model for NLP](https://github.com/fivetran/dbt_zendesk/blob/main/README.md#enabling-the-unstructured-document-model-for-nlp) for more information.
+
+## Breaking Changes (Full refresh required after upgrading)
+- Incremental models running on BigQuery have had the `partition_by` logic adjusted to include a granularity of a month. This change only impacts BigQuery warehouses and was applied to avoid the common `too many partitions` error some users have experienced when partitioning by day. Therefore, adjusting the partition to a month granularity will decrease the number of partitions created and allow for more performant querying and incremental loads. This change was applied to the following models ([#165](https://github.com/fivetran/dbt_zendesk/pull/165)):
+ - `int_zendesk__field_calendar_spine`
+ - `int_zendesk__field_history_pivot`
+ - `zendesk__ticket_field_history`
+
+- In the [dbt_zendesk_source v0.12.0 release](https://github.com/fivetran/dbt_zendesk_source/releases/tag/v0.12.0), the field `_fivetran_deleted` was added to the following models for use in `zendesk__document` model ([#161](https://github.com/fivetran/dbt_zendesk/pull/161)):
+ - `stg_zendesk__ticket`
+ - `stg_zendesk__ticket_comment`
+ - `stg_zendesk__user`
+ - If you have already added `_fivetran_deleted` as a passthrough column via the `zendesk__ticket_passthrough_columns` or `zendesk__user_passthrough_columns` variable, you will need to remove or alias this field from the variable to avoid duplicate column errors.
+
+## Bug Fixes
+- Fixed an issue in the `zendesk__sla_policies` model where tickets that were opened and solved outside of scheduled hours were not being reported, specifically for the metrics `requester_wait_time` and `agent_work_time`.
+ - Resolved by adjusting the join logic in models `int_zendesk__agent_work_time_business_hours` and `int_zendesk__requester_wait_time_business_hours`. ([#164](https://github.com/fivetran/dbt_zendesk/pull/164), [#156](https://github.com/fivetran/dbt_zendesk/pull/156))
+- Fixed an issue in the `zendesk__ticket_metrics` model where certain tickets had miscalculated metrics.
+ - Resolved by adjusting the join logic in models `int_zendesk__ticket_work_time_business`, `int_zendesk__ticket_first_resolution_time_business`, and `int_zendesk__ticket_full_resolution_time_business`. ([#167](https://github.com/fivetran/dbt_zendesk/pull/167))
+
+## 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`. ([#167](https://github.com/fivetran/dbt_zendesk/pull/167))
+- Modified the `consistency_sla_policy_count` validation test to group by `ticket_id` for more accurate testing. ([#165](https://github.com/fivetran/dbt_zendesk/pull/165))
+- Updated casting in joins from timestamps to dates so that the whole day is considered. This produces more accurate results. ([#164](https://github.com/fivetran/dbt_zendesk/pull/164), [#156](https://github.com/fivetran/dbt_zendesk/pull/156), [#167](https://github.com/fivetran/dbt_zendesk/pull/167))
+- Reduced the weeks looking ahead from 208 to 52 to improve performance, as tracking ticket SLAs beyond one year was unnecessary. ([#156](https://github.com/fivetran/dbt_zendesk/pull/156), [#167](https://github.com/fivetran/dbt_zendesk/pull/167))
+- Updated seed files to reflect a real world ticket field history update scenario. ([#165](https://github.com/fivetran/dbt_zendesk/pull/165))
+
# dbt_zendesk v0.16.0
## 🚨 Minor Upgrade 🚨
Although this update is not a breaking change, it will likely impact the output of the `zendesk__sla_policies` and `zendesk__sla_metrics` models. [PR #154](https://github.com/fivetran/dbt_zendesk/pull/154) includes the following changes:
diff --git a/README.md b/README.md
index 8c0b9fdf..bd2c1d11 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@
# Zendesk Support Modeling dbt Package ([Docs](https://fivetran.github.io/dbt_zendesk/))
-# 📣 What does this dbt package do?
+## What does this dbt package do?
- Produces modeled tables that leverage Zendesk Support data from [Fivetran's connector](https://fivetran.com/docs/applications/zendesk) in the format described by [this ERD](https://fivetran.com/docs/applications/zendesk#schemainformation) and build off the output of our [zendesk source package](https://github.com/fivetran/dbt_zendesk_source).
- Enables you to better understand the performance of your Support team. It calculates metrics focused on response times, resolution times, and work times for you to analyze. It performs the following actions:
- Creates an enriched ticket model with relevant resolution, response time, and other metrics
@@ -23,13 +23,13 @@
- Calculates SLA policy breaches for Zendesk Support Professional or Enterprise users
- Generates a comprehensive data dictionary of your source and modeled Zendesk Support data through the [dbt docs site](https://fivetran.github.io/dbt_zendesk/).
-> Note: Tickets from the Zendesk Support Chat channel will not populate in this package as the Fivetran connector does not currently support Chat based tickets. This is a feature request that has been flagged.
+> Note: Tickets from the Zendesk Support Chat channel will not populate in this package as the Fivetran connector does not currently support Chat based tickets. This is a feature request that has been flagged.
-The following table provides a detailed list of final models materialized within this package by default.
-> TIP: See more details about these models in the package's [dbt docs site](https://fivetran.github.io/dbt_zendesk/#!/overview?g_v=1).
+The following table provides a detailed list of final tables materialized within this package by default.
+> TIP: See more details about these tables in the package's [dbt docs site](https://fivetran.github.io/dbt_zendesk/#!/overview?g_v=1).
-| **model** | **description** |
+| **Table** | **Description** |
| ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [zendesk__ticket_metrics](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__ticket_metrics) | Each record represents a Zendesk Support ticket, enriched with metrics about reply times, resolution times, and work times. Calendar and business hours are supported. |
| [zendesk__ticket_enriched](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__ticket_enriched) | Each record represents a Zendesk Support ticket, enriched with data about its tags, assignees, requester, submitter, organization, and group. |
@@ -37,20 +37,21 @@ 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](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.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. |
-Many of the above reports are now configurable for [visualization via Streamlit](https://github.com/fivetran/streamlit_zendesk)! Check out some [sample reports here](https://fivetran-zendesk.streamlit.app/).
+Many of the above reports are now configurable for [visualization via Streamlit](https://github.com/fivetran/streamlit_zendesk). Check out some [sample reports here](https://fivetran-zendesk.streamlit.app/).
-# 🎯 How do I use the dbt package?
+## How do I use the dbt package?
-## Step 1: Prerequisites
+### Step 1: Prerequisites
To use this dbt package, you must have the following:
- At least one Fivetran zendesk connector syncing data into your destination.
- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.
-### Databricks Dispatch Configuration
+#### Databricks Dispatch Configuration
If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` packages respectively.
```yml
dispatch:
@@ -58,18 +59,18 @@ dispatch:
search_order: ['spark_utils', 'dbt_utils']
```
-## Step 2: Install the package
+### Step 2: Install the package
Include the following zendesk package version in your `packages.yml` file:
> TIP: Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.
```yml
packages:
- package: fivetran/zendesk
- version: [">=0.16.0", "<0.17.0"]
+ version: [">=0.17.0", "<0.18.0"]
```
> **Note**: Do not include the Zendesk Support source package. The Zendesk Support transform package already has a dependency on the source in its own `packages.yml` file.
-## Step 3: Define database and schema variables
+### Step 3: Define database and schema variables
By default, this package runs using your destination and the `zendesk` schema. If this is not where your zendesk data is (for example, if your zendesk schema is named `zendesk_fivetran`), update the following variables in your root `dbt_project.yml` file accordingly:
```yml
@@ -78,7 +79,7 @@ vars:
zendesk_schema: your_schema_name
```
-## Step 4: Disable models for non-existent sources
+### Step 4: Disable models for non-existent sources
This package takes into consideration that not every Zendesk Support account utilizes the `schedule`, `schedule_holiday`, `ticket_schedule` `daylight_time`, `time_zone`, `domain_name`, `user_tag`, `organization_tag`, or `ticket_form_history` features, and allows you to disable the corresponding functionality. By default, all variables' values are assumed to be `true`. Add variables for only the tables you want to disable:
```yml
vars:
@@ -89,7 +90,26 @@ vars:
using_organization_tags: False #Disable if you are not using organization tags
```
-## (Optional) Step 5: Additional configurations
+### (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. For definitions and more information, refer to [zendesk__document](https://fivetran.github.io/dbt_zendesk/#!/model/model.zendesk.zendesk__document) in our dbt docs.
+
+By default, this model is disabled. To enable it, update the `zendesk__unstructured_enabled` variable to true in your dbt_project.yml:
+
+```yml
+vars:
+ zendesk__unstructured_enabled: true # false by default.
+```
+
+##### Customizing Chunk Size for Vectorization
+
+The `zendesk__document` model was developed to limit approximate chunk sizes to 7,500 tokens, optimized for OpenAI models. However, you can adjust this limit by setting the `max_tokens` variable in your `dbt_project.yml`:
+
+```yml
+vars:
+ zendesk_max_tokens: 5000 # Default value
+```
### Add passthrough columns
This package includes all source columns defined in the macros folder. You can add more columns from the `TICKET`, `USER`, and `ORGANIZATION` tables using our pass-through column variables.
@@ -116,7 +136,7 @@ vars:
>
> This old format will still work, as our passthrough-column macros are all backwards compatible.
-### Mark Former Internal Users as Agents
+#### Mark Former Internal Users as Agents
If a team member leaves your organization and their internal account is deactivated, their `USER.role` will switch from `agent` or `admin` to `end-user`. This will skew historical ticket SLA metrics, as we calculate reply times and other metrics based on `agent` or `admin` activity only.
To persist the integrity of historical ticket SLAs and mark these former team members as agents, provide the `internal_user_criteria` variable with a SQL clause to identify them, based on fields in the `USER` table. This SQL will be wrapped in a `case when` statement in the `stg_zendesk__user` model.
@@ -129,8 +149,8 @@ vars:
internal_user_criteria: "lower(email) like '%@fivetran.com' or external_id = '12345' or name in ('Garrett', 'Alfredo')" # can reference any non-custom field in USER
```
-### Tracking Ticket Field History Columns
-The `zendesk__ticket_field_history` model generates historical data for the columns specified by the `ticket_field_history_columns` variable. By default, the columns tracked are `status`, `priority`, and `assignee_id`. If you would like to change these columns, add the following configuration to your `dbt_project.yml` file. Additionally, the `zendesk__ticket_field_history` model allows for tracking the specified fields updater information through the use of the `zendesk_ticket_field_history_updater_columns` variable. The values passed through this variable limited to the values shown within the config below. By default, the variable is empty and updater information is not tracked. If you would like to track field history updater information, add any of the below specified values to your `dbt_project.yml` file. After adding the columns to your root `dbt_project.yml` file, run the `dbt run --full-refresh` command to fully refresh any existing models.
+#### Tracking Ticket Field History Columns
+The `zendesk__ticket_field_history` model generates historical data for the columns specified by the `ticket_field_history_columns` variable. By default, the columns tracked are `status`, `priority`, and `assignee_id`. If you would like to change these columns, add the following configuration to your `dbt_project.yml` file. Additionally, the `zendesk__ticket_field_history` model allows for tracking the specified fields updater information through the use of the `zendesk_ticket_field_history_updater_columns` variable. The values passed through this variable limited to the values shown within the config below. By default, the variable is empty and updater information is not tracked. If you would like to track field history updater information, add any of the below specified values to your `dbt_project.yml` file. After adding the columns to your root `dbt_project.yml` file, run the `dbt run --full-refresh` command to fully refresh any existing models.
```yml
vars:
@@ -143,7 +163,7 @@ vars:
```
*Note: This package only integrates the above ticket_field_history_updater_columns values. If you'd like to include additional updater fields, please create an [issue](https://github.com/fivetran/dbt_zendesk/issues) specifying which ones.*
-### Extending and Limiting the Ticket Field History
+#### Extending and Limiting the Ticket Field History
This package will create a row in `zendesk__ticket_field_history` for each day that a ticket is open, starting at its creation date. A Zendesk Support ticket cannot be altered after being closed, so its field values will not change after this date. However, you may want to extend a ticket's history past its closure date for easier reporting and visualizing. To do so, add the following configuration to your root `dbt_project.yml` file:
```yml
@@ -170,7 +190,7 @@ vars:
ticket_field_history_timeframe_years: integer_number_of_years # default = 50 (everything)
```
-### Changing the Build Schema
+#### Changing the Build Schema
By default this package will build the Zendesk Support staging models within a schema titled ( + `_zendesk_source`), the Zendesk Support intermediate models within a schema titled ( + `_zendesk_intermediate`), and the Zendesk Support final models within a schema titled ( + `_zendesk`) in your target database. If this is not where you would like your modeled Zendesk Support data to be written to, add the following configuration to your root `dbt_project.yml` file:
```yml
@@ -187,7 +207,7 @@ models:
+schema: my_new_schema_name # leave blank for just the target_schema
```
-### Change the source table references
+#### Change the source table references
If an individual source table has a different name than the package expects, add the table name as it appears in your destination to the respective variable:
> IMPORTANT: See this project's [`dbt_project.yml`](https://github.com/fivetran/dbt_zendesk_source/blob/main/dbt_project.yml) variable declarations to see the expected names.
@@ -197,21 +217,21 @@ vars:
zendesk__identifier: your_table_name
```
-## (Optional) Step 6: Orchestrate your models with Fivetran Transformations for dbt Core™
+### (Optional) Step 6: Orchestrate your models with Fivetran Transformations for dbt Core™
Expand for details
Fivetran offers the ability for you to orchestrate your dbt project through [Fivetran Transformations for dbt Core™](https://fivetran.com/docs/transformations/dbt). Learn how to set up your project for orchestration through Fivetran in our [Transformations for dbt Core setup guides](https://fivetran.com/docs/transformations/dbt#setupguide).
-# 🔍 Does this package have dependencies?
-This dbt package is dependent on the following dbt packages. Please be aware that these dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.
+## Does this package have dependencies?
+This dbt package is dependent on the following dbt packages. These dependencies are installed by default within this package. For more information on the following packages, refer to the [dbt hub](https://hub.getdbt.com/) site.
> IMPORTANT: If you have any of these dependent packages in your own `packages.yml` file, we highly recommend that you remove them from your root `packages.yml` to avoid package version conflicts.
```yml
packages:
- package: fivetran/zendesk_source
- version: [">=0.11.0", "<0.12.0"]
+ version: [">=0.12.0", "<0.13.0"]
- package: fivetran/fivetran_utils
version: [">=0.4.0", "<0.5.0"]
@@ -225,19 +245,18 @@ packages:
- package: calogica/dbt_date
version: [">=0.9.0", "<1.0.0"]
```
-# 🙌 How is this package maintained and can I contribute?
-## Package Maintenance
+## How is this package maintained and can I contribute?
+### Package Maintenance
The Fivetran team maintaining this package _only_ maintains the latest version of the package. We highly recommend you stay consistent with the [latest version](https://hub.getdbt.com/fivetran/zendesk/latest/) of the package and refer to the [CHANGELOG](https://github.com/fivetran/dbt_zendesk/blob/main/CHANGELOG.md) and release notes for more information on changes across versions.
-## Contributions
-A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions!
+### Contributions
+A small team of analytics engineers at Fivetran develops these dbt packages. However, the packages are made better by community contributions.
-We highly encourage and welcome contributions to this package. Check out [this dbt Discourse article](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) on the best workflow for contributing to a package!
+We highly encourage and welcome contributions to this package. Check out [this dbt Discourse article](https://discourse.getdbt.com/t/contributing-to-a-dbt-package/657) on the best workflow for contributing to a package.
-## Opinionated Modelling Decisions
+### Opinionated Modelling Decisions
This dbt package takes an opinionated stance on how business time metrics are calculated. The dbt package takes **all** schedules into account when calculating the business time duration. Whereas, the Zendesk Support UI logic takes into account **only** the latest schedule assigned to the ticket. If you would like a deeper explanation of the logic used by default in the dbt package you may reference the [DECISIONLOG](https://github.com/fivetran/dbt_zendesk/blob/main/DECISIONLOG.md).
-# 🏪 Are there any resources available?
-- If you have questions or want to reach out for help, please refer to the [GitHub Issue](https://github.com/fivetran/dbt_zendesk/issues/new/choose) section to find the right avenue of support for you.
+## Are there any resources available?
+- If you have questions or want to reach out for help, see the [GitHub Issue](https://github.com/fivetran/dbt_zendesk/issues/new/choose) section to find the right avenue of support for you.
- If you would like to provide feedback to the dbt package team at Fivetran or would like to request a new dbt package, fill out our [Feedback Form](https://www.surveymonkey.com/r/DQ7K7WW).
-- Have questions or want to be part of the community discourse? Create a post in the [Fivetran community](https://community.fivetran.com/t5/user-group-for-dbt/gh-p/dbt-user-group) and our team along with the community can join in on the discussion!
diff --git a/dbt_project.yml b/dbt_project.yml
index a18ac5f2..ecc6222c 100644
--- a/dbt_project.yml
+++ b/dbt_project.yml
@@ -1,5 +1,5 @@
name: 'zendesk'
-version: '0.16.0'
+version: '0.17.0'
config-version: 2
@@ -24,6 +24,9 @@ models:
ticket_history:
+schema: zendesk_intermediate
+materialized: ephemeral
+ unstructured:
+ +schema: zendesk_unstructured
+ +materialized: table
utils:
+materialized: ephemeral
vars:
diff --git a/docs/catalog.json b/docs/catalog.json
index ec6e3a04..e10aa459 100644
--- a/docs/catalog.json
+++ b/docs/catalog.json
@@ -1 +1 @@
-{"metadata": {"dbt_schema_version": "https://schemas.getdbt.com/dbt/catalog/v1.json", "dbt_version": "1.7.9", "generated_at": "2024-05-14T15:31:24.360147Z", "invocation_id": "a6607f0c-5bee-4c0f-9bfc-3034194b1b1f", "env": {}}, "nodes": {"seed.zendesk_integration_tests.brand_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "brand_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "_fivetran_deleted": {"type": "BOOL", "index": 2, "name": "_fivetran_deleted", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 3, "name": "_fivetran_synced", "comment": null}, "active": {"type": "BOOL", "index": 4, "name": "active", "comment": null}, "brand_url": {"type": "STRING", "index": 5, "name": "brand_url", "comment": null}, "default": {"type": "BOOL", "index": 6, "name": "default", "comment": null}, "has_help_center": {"type": "BOOL", "index": 7, "name": "has_help_center", "comment": null}, "help_center_state": {"type": "STRING", "index": 8, "name": "help_center_state", "comment": null}, "logo_content_type": {"type": "STRING", "index": 9, "name": "logo_content_type", "comment": null}, "logo_content_url": {"type": "STRING", "index": 10, "name": "logo_content_url", "comment": null}, "logo_deleted": {"type": "BOOL", "index": 11, "name": "logo_deleted", "comment": null}, "logo_file_name": {"type": "STRING", "index": 12, "name": "logo_file_name", "comment": null}, "logo_height": {"type": "INT64", "index": 13, "name": "logo_height", "comment": null}, "logo_id": {"type": "INT64", "index": 14, "name": "logo_id", "comment": null}, "logo_inline": {"type": "BOOL", "index": 15, "name": "logo_inline", "comment": null}, "logo_mapped_content_url": {"type": "STRING", "index": 16, "name": "logo_mapped_content_url", "comment": null}, "logo_size": {"type": "INT64", "index": 17, "name": "logo_size", "comment": null}, "logo_url": {"type": "STRING", "index": 18, "name": "logo_url", "comment": null}, "logo_width": {"type": "INT64", "index": 19, "name": "logo_width", "comment": null}, "name": {"type": "STRING", "index": 20, "name": "name", "comment": null}, "subdomain": {"type": "STRING", "index": 21, "name": "subdomain", "comment": null}, "url": {"type": "STRING", "index": 22, "name": "url", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 346, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 1, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.brand_data"}, "seed.zendesk_integration_tests.daylight_time_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "daylight_time_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"time_zone": {"type": "STRING", "index": 1, "name": "time_zone", "comment": null}, "year": {"type": "INT64", "index": 2, "name": "year", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 3, "name": "_fivetran_synced", "comment": null}, "daylight_end_utc": {"type": "DATETIME", "index": 4, "name": "daylight_end_utc", "comment": null}, "daylight_offset": {"type": "INT64", "index": 5, "name": "daylight_offset", "comment": null}, "daylight_start_utc": {"type": "DATETIME", "index": 6, "name": "daylight_start_utc", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 99, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 2, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.daylight_time_data"}, "seed.zendesk_integration_tests.domain_name_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "domain_name_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"index": {"type": "INT64", "index": 1, "name": "index", "comment": null}, "organization_id": {"type": "INT64", "index": 2, "name": "organization_id", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 3, "name": "_fivetran_synced", "comment": null}, "domain_name": {"type": "STRING", "index": 4, "name": "domain_name", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 580, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 10, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.domain_name_data"}, "seed.zendesk_integration_tests.group_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "group_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "_fivetran_deleted": {"type": "BOOL", "index": 2, "name": "_fivetran_deleted", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 3, "name": "_fivetran_synced", "comment": null}, "created_at": {"type": "TIMESTAMP", "index": 4, "name": "created_at", "comment": null}, "name": {"type": "STRING", "index": 5, "name": "name", "comment": null}, "updated_at": {"type": "TIMESTAMP", "index": 6, "name": "updated_at", "comment": null}, "url": {"type": "STRING", "index": 7, "name": "url", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 879, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 8, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.group_data"}, "seed.zendesk_integration_tests.organization_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "organization_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 2, "name": "_fivetran_synced", "comment": null}, "created_at": {"type": "TIMESTAMP", "index": 3, "name": "created_at", "comment": null}, "details": {"type": "INT64", "index": 4, "name": "details", "comment": null}, "external_id": {"type": "INT64", "index": 5, "name": "external_id", "comment": null}, "group_id": {"type": "INT64", "index": 6, "name": "group_id", "comment": null}, "name": {"type": "STRING", "index": 7, "name": "name", "comment": null}, "notes": {"type": "INT64", "index": 8, "name": "notes", "comment": null}, "shared_comments": {"type": "BOOL", "index": 9, "name": "shared_comments", "comment": null}, "shared_tickets": {"type": "BOOL", "index": 10, "name": "shared_tickets", "comment": null}, "updated_at": {"type": "TIMESTAMP", "index": 11, "name": "updated_at", "comment": null}, "url": {"type": "STRING", "index": 12, "name": "url", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 1011, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 10, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.organization_data"}, "seed.zendesk_integration_tests.organization_tag_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "organization_tag_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"organization_id": {"type": "INT64", "index": 1, "name": "organization_id", "comment": null}, "tag": {"type": "STRING", "index": 2, "name": "tag", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 3, "name": "_fivetran_synced", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 600, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 12, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.organization_tag_data"}, "seed.zendesk_integration_tests.schedule_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "schedule_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"end_time": {"type": "INT64", "index": 1, "name": "end_time", "comment": null}, "id": {"type": "INT64", "index": 2, "name": "id", "comment": null}, "start_time": {"type": "INT64", "index": 3, "name": "start_time", "comment": null}, "_fivetran_deleted": {"type": "BOOL", "index": 4, "name": "_fivetran_deleted", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 5, "name": "_fivetran_synced", "comment": null}, "end_time_utc": {"type": "INT64", "index": 6, "name": "end_time_utc", "comment": null}, "name": {"type": "STRING", "index": 7, "name": "name", "comment": null}, "start_time_utc": {"type": "INT64", "index": 8, "name": "start_time_utc", "comment": null}, "time_zone": {"type": "STRING", "index": 9, "name": "time_zone", "comment": null}, "created_at": {"type": "TIMESTAMP", "index": 10, "name": "created_at", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 480, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 5, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.schedule_data"}, "seed.zendesk_integration_tests.schedule_holiday_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "schedule_holiday_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "schedule_id": {"type": "INT64", "index": 2, "name": "schedule_id", "comment": null}, "_fivetran_deleted": {"type": "BOOL", "index": 3, "name": "_fivetran_deleted", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 4, "name": "_fivetran_synced", "comment": null}, "end_date": {"type": "DATE", "index": 5, "name": "end_date", "comment": null}, "name": {"type": "STRING", "index": 6, "name": "name", "comment": null}, "start_date": {"type": "DATE", "index": 7, "name": "start_date", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 112, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 2, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.zendesk_integration_tests.schedule_holiday_data"}, "seed.zendesk_integration_tests.ticket_comment_data": {"metadata": {"type": "table", "schema": "zendesk_integration_tests_50", "name": "ticket_comment_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "_fivetran_synced": {"type": "TIMESTAMP", "index": 2, "name": "_fivetran_synced", "comment": null}, "body": {"type": "STRING", "index": 3, 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\ No newline at end of file
diff --git a/docs/index.html b/docs/index.html
index ca1e6f88..c580ce91 100644
--- a/docs/index.html
+++ b/docs/index.html
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