Shorten the inference pipeline name

README.md

@@ -265,7 +265,7 @@ model:
 ```
 
 <p align="center">
-  <img height=900 src="assets/06_batch_inference.png">
+  <img height=900 src="assets/06_inference.png">
 </p>
 
 ### [Continuous Deployment] Batch Inference: ETL Steps

copier.yml

@@ -92,7 +92,7 @@ email:
 product_name:
     type: str
     help: The technical name of the data product you are building
-    default: supply_chain_forecasting
+    default: supply_chain_fcast
 target_environment:
     type: str
     help: "The target environment for your project"

template/README.md

@@ -158,7 +158,7 @@ The project loosely follows [the recommended ZenML project structure](https://do
 │   ├── inference_config.yaml # the configuration of the batch inference pipeline
 │   └── train_config.yaml     # the configuration of the training pipeline
 ├── pipelines                 # `zenml.pipeline` implementations
-│   ├── batch_inference.py    # [CD] Batch Inference pipeline
+│   ├── inference.py    # [CD] Batch Inference pipeline
 │   ├── deployment.py         # [CD] Deployment pipeline
 │   └── training.py           # [CT] Training Pipeline
 ├── steps                     # logically grouped `zenml.steps` implementations

template/pipelines/__init__.py

@@ -1,5 +1,5 @@
 # {% include 'template/license_header' %}
 
 
-from .batch_inference import {{product_name}}_batch_inference
+from .inference import {{product_name}}_inference
 from .training import {{product_name}}_training

template/pipelines/batch_inference.py → template/pipelines/inference.py

@@ -21,7 +21,7 @@
 
 
 @pipeline(on_failure=notify_on_failure, tags=[DATA_CLASSIFICATION])
-def {{product_name}}_batch_inference():
+def {{product_name}}_inference():
     """
     Model batch inference pipeline.
 

template/run.py

@@ -8,7 +8,7 @@
 from zenml.client import Client
 from zenml.logger import get_logger
 
-from pipelines import {{product_name}}_batch_inference, {{product_name}}_training
+from pipelines import {{product_name}}_inference, {{product_name}}_training
 
 logger = get_logger(__name__)
 
@@ -177,8 +177,8 @@ def main(
     )
     pipeline_args[
         "run_name"
-    ] = f"{{product_name}}_batch_inference_run_{dt.now().strftime('%Y_%m_%d_%H_%M_%S')}"
-    {{product_name}}_batch_inference.with_options(**pipeline_args)(**run_args_inference)
+    ] = f"{{product_name}}_inference_run_{dt.now().strftime('%Y_%m_%d_%H_%M_%S')}"
+    {{product_name}}_inference.with_options(**pipeline_args)(**run_args_inference)
 
 
 

tests/test_template.py

@@ -96,7 +96,7 @@ def generate_and_run_project(
             ) from e
 
         # check the pipeline run is successful
-        for pipeline_suffix in ["_training", "_batch_inference"]:
+        for pipeline_suffix in ["_training", "_inference"]:
             pipeline = Client().get_pipeline(product_name + pipeline_suffix)
             assert pipeline
             runs = pipeline.runs