feat: function templates

templates/function/dbt.yaml

@@ -0,0 +1,16 @@
+name: dbt-transform
+kind: dbt
+metadata:
+  description: 'A simple DBT transformation operation example that converts the
+    input file (employee table dataitem) to another table using a SQL-based
+    transformation.  Run it with e.g. inputs={"employees": di.key},
+    and  outputs={"output_table": "department-60"})' 
+  version: 91da740dccfc42ee8acf82c1f9165439
+  labels:
+    - dbt
+    - etl
+spec:
+  source:
+    base64: V0lUSCB0YWIgQVMgKAogICAgU0VMRUNUICAqCiAgICBGUk9NICAgIHt7IHJlZignZW1wbG95ZWVzJykgfX0KKQpTRUxFQ1QgICoKRlJPTSAgICB0YWIKV0hFUkUgICB0YWIuIkRFUEFSVE1FTlRfSUQiID0gJzYwJwo=
+    lang: sql
+

templates/function/echoservice.yaml

@@ -0,0 +1,18 @@
+name: echoservice
+kind: python
+metadata:
+  description: A simple python-based API responding to a POST message with the
+    "text" field. The function exposes an API using "serve" task.  
+  version: 5cdc18d933df4efb9d157f0c460db724
+  labels:
+    - python
+    - api
+spec:
+  python_version: PYTHON3_10
+  source:
+    source: src/serve.py
+    handler: serve
+    base64: 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
+    lang: python
+    init_function: init
+

templates/function/llm-serve.yaml

@@ -0,0 +1,15 @@
+name: llm-serving
+kind: huggingfaceserve
+metadata:
+  description: Expose OpenAI - compatible API based on a model from HugginFace.
+    The model should be one of the models/derivatives supported by vLLM or
+    compatible with the Huggingface transformer library. The examples deploys
+    Qwen/Qwen2.5-0.5B model as an example. 
+  version: 2184afc12d9e40e593da77c16ddaf969
+  labels:
+    - openai
+    - huggingface
+    - llm
+spec:
+  model_name: model
+  path: huggingface://Qwen/Qwen2.5-0.5B

templates/function/mlflow-server.yaml

@@ -0,0 +1,14 @@
+name: mlflow-server
+kind: mlflowserve
+metadata:
+  name: mlflow-server
+  description: An Open Inference-compatible API that exposes trained ML Model in
+    the MLFlow format. The model is specified as a reference to the Model entity
+    already present in the project.
+  version: 12a6081daaf640f792ea726786ad255f
+  labels:
+    - open inference
+    - mlflow
+spec:
+  model_name: model
+  path: store://test1/model/mlflow/model-mlflow

templates/function/mlflow-train.yaml

@@ -0,0 +1,21 @@
+name: mlflow_train_model
+kind: python
+metadata:
+  description: "Train a cancer classifier ML model using MLFlow framework to
+    structure and represent the model data. The trained model then can be
+    deployed with the MLFlowServe framework or used for batch classifications
+    loading it using the MLFlow framework. "
+  version: 1cf74099137f462bae03d73f1bbfceb1
+  labels:
+    - machine learning
+    - mlflow
+spec:
+  requirements:
+    - scikit-learn==1.5.0
+    - mlflow==2.15.1
+  source:
+    lang: python
+    source: src/train.py
+    base64: 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
+    handler: train
+  python_version: PYTHON3_10

templates/function/python-etl.yaml

@@ -0,0 +1,17 @@
+name: python-etl
+kind: python
+metadata:
+  description: A simple ETL procedure in Python that downloads a csv file and then
+    returns the result as a dataframe that is stored in the project repository
+    as table.
+  version: 8ee36148df634014adf6ab64039477fd
+  labels:
+    - python
+    - etl
+spec:
+  python_version: PYTHON3_10
+  source:
+    source: etl.py
+    handler: download_and_process
+    base64: aW1wb3J0IHBhbmRhcyBhcyBwZApmcm9tIGRpZ2l0YWxodWJfcnVudGltZV9weXRob24gaW1wb3J0IGhhbmRsZXIKClVSTD0iaHR0cHM6Ly9yYXcuZ2l0aHVidXNlcmNvbnRlbnQuY29tL2RhdGFzZXRzL3dvcmxkLWNpdGllcy9yZWZzL2hlYWRzL21haW4vZGF0YS93b3JsZC1jaXRpZXMuY3N2IgoKQGhhbmRsZXIob3V0cHV0cz1bIndvcmxkLWNpdGllcyJdKQpkZWYgZG93bmxvYWRfYW5kX3Byb2Nlc3MoKToKICAgIGRmID0gcGQucmVhZF9jc3YoVVJMKQogICAgZGYucmVzZXRfaW5kZXgoaW5wbGFjZT1UcnVlKQogICAgcmV0dXJuIGRm
+    lang: python

templates/function/python-hello-world.yaml

@@ -1,10 +1,11 @@
+name: hello-world
 kind: python
 metadata:
   name: hello-world
   description: "Hello world with python: write a string to stdout"  
   version: 3d64037407ee4c95989a205bb4674cad
-  labels: []
-name: hello-world
+  labels:
+    - python
 spec:
   python_version: PYTHON3_10
   source:

templates/function/sklearn-server.yaml

@@ -0,0 +1,14 @@
+name: sklearn-server
+kind: sklearnserve
+metadata:
+  description: "A Open Inference-compatible API exposing a trained scikit-learn ML
+    model. The model should already exist and is expected to be found in the
+    project with the specified key. " 
+  version: 83cb0f2727204b99905f22c7167369de
+  labels:
+    - scikit-learn
+    - service
+    - open inference
+spec:
+  model_name: model
+  path: store://test1/model/sklearn/cancer_classifier

templates/function/sklearn-train.yaml

@@ -0,0 +1,21 @@
+name: train_cancer_model
+kind: python
+metadata:
+  description: A simple example of training a scikit-learn ML model using a
+    standard dataset available. The function represents a training job that logs
+    the resulting ML model artifact as Model in the project under
+    'cancer_classifier' name.
+  version: 5e064afe3b464b11a3e5c83baa51197e
+  labels:
+    - scikit-learn
+    - machine learning
+spec:
+  requirements:
+    - scikit-learn==1.2.2
+  python_version: PYTHON3_10
+  source:
+    source: src/train.py
+    handler: breast_cancer_generator
+    base64: 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
+    lang: python
+