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chmstimoteoCarlos TimoteoLaurent Grangeaukingmanmartenlindblad
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Updating python version to 3.9 (#291)
* predicting for only the users with traffic in the past 72h - purchase propensity * running inference only for users events in the past 72h * including 72h users for all models predictions * considering null values in TabWorkflow models * deleting unused pipfile * upgrading lib versions * implementing reporting preprocessing as a new pipeline * adding more code documentation * adding important information on the main README.md and DEVELOPMENT.md * adding schedule run name and more code documentation * implementing a new scheduler using the vertex ai sdk & adding user_id to procedures for consistency * adding more code documentation * adding code doc to the python custom component * adding more code documentation * fixing aggregated predictions query * removing unnecessary resources from deployment * Writing MDS guide * adding the MDS developer and troubleshooting documentation * fixing deployment for activation pipelines and gemini dataset * Update README.md * Update README.md * Update README.md * Update README.md * removing deprecated api * fixing purchase propensity pipelines names * adding extra condition for when there is not enough data for the window interval to be applied on backfill procedures * adding more instructions for post deployment and fixing issues when GA4 export was configured for less than 10 days * removing unnecessary comments * adding the number of past days to process in the variables files * adding comment about combining data from different ga4 export datasets to data store * fixing small issues with feature engineering and ml pipelines * fixing hyper parameter tuning for kmeans modeling * fixing optuna parameters * adding cloud shell image * fixing the list of all possible users in the propensity training preparation tables * additional guardrails for when there is not enough data * adding more documentation * adding more doc to feature store * add feature store documentation * adding ml pipelines docs * adding ml pipelines docs * adding more documentation * adding user agent client info * fixing scope of client info * fix * removing client_info from vertex components * fixing versioning of tf submodules * reconfiguring meta providers * fixing issue 187 * chore(deps): upgrade terraform providers and modules version * chore(deps): set the provider version * chore: formatting * fix: brand naming * fix: typo * fixing secrets issue * implementing secrets region as tf variable * implementing secrets region as tf variable * last changes requested by lgrangeau * documenting keys location better * implementing vpc peering network * Update README.md * Rebase Main into Multi-property (#243) * Update README.md * ensure the build bucket is created in the specified region (#230) * Update audience_segmentation_query_template.sqlx * Update auto_audience_segmentation_query_template.sqlx * Update churn_propensity_query_template.sqlx * Update cltv_query_template.sqlx * Update purchase_propensity_query_template.sqlx * Restrict regions for GCP Cloud Build support (#241) * Update README.md * Move to uv (#242) * add uv required project table segment in toml file * switch to uv in terraform deployment * switch to uv * remove poetry usage from terraform * format * remove poetry * Add files via upload --------- Co-authored-by: Charlie Wang <[email protected]> Co-authored-by: Mårten Lindblad <[email protected]> * supporting property id in the resources * fixing iam member roles issues * fixing issue with service account iam resources * fixing issue with connection between vertex and bq * Update terraform-sample.tfvars * fixing scheduling * fixing packages versions --------- Co-authored-by: Carlos Timoteo <[email protected]> Co-authored-by: Laurent Grangeau <[email protected]> Co-authored-by: Charlie Wang <[email protected]> Co-authored-by: Mårten Lindblad <[email protected]>
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pyproject.toml

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authors = [{name = "Marketing Analytics Solutions Architects", email = "[email protected]"}]
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license = "Apache 2.0"
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readme = "README.md"
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requires-python = ">=3.8,<3.11"
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requires-python = ">=3.9"
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[tool.poetry]
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name = "marketing-analytics-jumpstart"
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packages = [{include = "python"}]
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[tool.poetry.dependencies]
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python = ">=3.8,<3.11"
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python = ">=3.9"
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#google-cloud-aiplatform = "1.52.0"
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google-cloud-aiplatform = "1.77.0"
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shapely = "<2.0.0"

python/base_component_image/Dockerfile

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# See the License for the specific language governing permissions and
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# limitations under the License.
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FROM python:3.8.18-slim
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FROM python:3.9.21-slim
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RUN pip install --upgrade pip
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RUN pip install poetry

python/base_component_image/pyproject.toml

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packages = [{include = "ma_components"}]
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[tool.poetry.dependencies]
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python = ">=3.8,<3.11"
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python = ">=3.9"
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pip = "23.3.2"
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kfp = "2.4.0"
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## Fixing this error: https://stackoverflow.com/questions/76175487/sudden-importerror-cannot-import-name-appengine-from-requests-packages-urlli

python/lookerstudio/pyproject.toml

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readme = "README.md"
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[tool.poetry.dependencies]
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python = ">=3.7.1"
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python = ">=3.9"
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google-cloud-bigquery = "^3.10.0"
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google-auth = "^2.17.3"
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google-api-core = "^2.11.0"

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