Delete iris-feature-pipeline-daily.py

iris-feature-pipeline-daily.py

@@ -1,84 +0,0 @@
-import os
-import modal
-    
-BACKFILL=False
-LOCAL=False
-
-if LOCAL == False:
-   stub = modal.Stub()
-   image = modal.Image.debian_slim().pip_install(["hopsworks","joblib","seaborn","sklearn","dataframe-image"]) 
-
-   @stub.function(image=image, schedule=modal.Period(days=1), secret=modal.Secret.from_name("jim-hopsworks-ai"))
-   def f():
-       g()
-
-
-def generate_flower(name, sepal_len_max, sepal_len_min, sepal_width_max, sepal_width_min, 
-                    petal_len_max, petal_len_min, petal_width_max, petal_width_min):
-    """
-    Returns a single iris flower as a single row in a DataFrame
-    """
-    import pandas as pd
-    import random
-
-    df = pd.DataFrame({ "sepal_length": [random.uniform(sepal_len_max, sepal_len_min)],
-                       "sepal_width": [random.uniform(sepal_width_max, sepal_width_min)],
-                       "petal_length": [random.uniform(petal_len_max, petal_len_min)],
-                       "petal_width": [random.uniform(petal_width_max, petal_width_min)]
-                      })
-    df['variety'] = name
-    return df
-
-
-def get_random_iris_flower():
-    """
-    Returns a DataFrame containing one random iris flower
-    """
-    import pandas as pd
-    import random
-
-    virginica_df = generate_flower("Virginica", 8, 5.5, 3.8, 2.2, 7, 4.5, 2.5, 1.4)
-    versicolor_df = generate_flower("Versicolor", 7.5, 4.5, 3.5, 2.1, 3.1, 5.5, 1.8, 1.0)
-    setosa_df =  generate_flower("Setosa", 6, 4.5, 4.5, 2.3, 1.2, 2, 0.7, 0.3)
-
-    # randomly pick one of these 3 and write it to the featurestore
-    pick_random = random.uniform(0,3)
-    if pick_random >= 2:
-        iris_df = virginica_df
-        print("Virginica added")
-    elif pick_random >= 1:
-        iris_df = versicolor_df
-        print("Versicolor added")
-    else:
-        iris_df = setosa_df
-        print("Setosa added")
-
-    return iris_df
-
-
-
-def g():
-    import hopsworks
-    import pandas as pd
-
-    project = hopsworks.login()
-    fs = project.get_feature_store()
-
-    if BACKFILL == True:
-        iris_df = pd.read_csv("https://repo.hops.works/master/hopsworks-tutorials/data/iris.csv")
-    else:
-        iris_df = get_random_iris_flower()
-
-    iris_fg = fs.get_or_create_feature_group(
-        name="iris_modal",
-        version=1,
-        primary_key=["sepal_length","sepal_width","petal_length","petal_width"], 
-        description="Iris flower dataset")
-    iris_fg.insert(iris_df, write_options={"wait_for_job" : False})
-
-if __name__ == "__main__":
-    if LOCAL == True :
-        g()
-    else:
-        with stub.run():
-            f()