From 925b5e71ceabd0339fc7e06b679fe38189157de4 Mon Sep 17 00:00:00 2001
From: Wojciech Jarmosz <wojciech@jarmosz.com>
Date: Sun, 23 May 2021 14:53:17 +0200
Subject: [PATCH] Add MLFlow model generator && serving it

---
 Jenkinsfile_train                             |   6 ++
 ml_model.py                                   |  54 ++++++++++++++++++
 .../meta.yaml                                 |  15 +++++
 .../tags/mlflow.source.git.commit             |   1 +
 .../tags/mlflow.source.name                   |   1 +
 .../tags/mlflow.source.type                   |   1 +
 .../tags/mlflow.user                          |   1 +
 movies_on_streaming_platforms_model/MLmodel   |  20 +++++++
 .../conda.yaml                                |  10 ++++
 .../data/keras_module.txt                     |   1 +
 .../data/model/keras_metadata.pb              |   9 +++
 .../data/model/saved_model.pb                 | Bin 0 -> 141392 bytes
 .../variables/variables.data-00000-of-00001   | Bin 0 -> 15070 bytes
 .../data/model/variables/variables.index      | Bin 0 -> 2360 bytes
 .../data/save_format.txt                      |   1 +
 .../input_example.json                        |   1 +
 16 files changed, 121 insertions(+)
 create mode 100644 ml_model.py
 create mode 100644 mlruns/0/724dc0d672664057b760fe5f18801036/meta.yaml
 create mode 100644 mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.git.commit
 create mode 100644 mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.name
 create mode 100644 mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.type
 create mode 100644 mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.user
 create mode 100644 movies_on_streaming_platforms_model/MLmodel
 create mode 100644 movies_on_streaming_platforms_model/conda.yaml
 create mode 100644 movies_on_streaming_platforms_model/data/keras_module.txt
 create mode 100644 movies_on_streaming_platforms_model/data/model/keras_metadata.pb
 create mode 100644 movies_on_streaming_platforms_model/data/model/saved_model.pb
 create mode 100644 movies_on_streaming_platforms_model/data/model/variables/variables.data-00000-of-00001
 create mode 100644 movies_on_streaming_platforms_model/data/model/variables/variables.index
 create mode 100644 movies_on_streaming_platforms_model/data/save_format.txt
 create mode 100644 movies_on_streaming_platforms_model/input_example.json

diff --git a/Jenkinsfile_train b/Jenkinsfile_train
index 47bf9b6..7d05c39 100644
--- a/Jenkinsfile_train
+++ b/Jenkinsfile_train
@@ -20,8 +20,14 @@ pipeline {
                 sh "python3 sacred_exp.py"
             }
         }
+        stage("Run MLFlow training"){
+            steps {
+                sh "python3 ml_model.py ${verbose} ${epochs}"
+            }
+        }
         stage('Save trained model files') {
 			steps{
+                archiveArtifacts 'movies_on_streaming_platforms_model/**'
                 archiveArtifacts 'sacred_file/**'
 				archiveArtifacts 'linear_regression.h5'
 			}
diff --git a/ml_model.py b/ml_model.py
new file mode 100644
index 0000000..d8954cf
--- /dev/null
+++ b/ml_model.py
@@ -0,0 +1,54 @@
+import pandas as pd
+import numpy as np
+import tensorflow as tf
+import os.path
+
+import mlflow
+import sys
+
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.layers.experimental import preprocessing
+
+arguments = sys.argv[1:]
+
+verbose = int(arguments[0])
+epochs = int(arguments[1])
+
+ # Wczytanie danych
+train_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.train")
+test_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.test")
+
+# Stworzenie modelu 
+columns_to_use = ['Year', 'Runtime', 'Netflix']
+train_X = tf.convert_to_tensor(train_data[columns_to_use])
+train_Y = tf.convert_to_tensor(train_data[["IMDb"]])
+
+test_X = tf.convert_to_tensor(test_data[columns_to_use])
+test_Y = tf.convert_to_tensor(test_data[["IMDb"]])
+
+normalizer = preprocessing.Normalization(input_shape=[3,])
+normalizer.adapt(train_X)
+
+model = keras.Sequential([
+    keras.Input(shape=(len(columns_to_use),)),
+    normalizer,
+    layers.Dense(30, activation='relu'),
+    layers.Dense(10, activation='relu'),
+    layers.Dense(25, activation='relu'),
+    layers.Dense(1)
+])
+
+model.compile(loss='mean_absolute_error',
+                optimizer=tf.keras.optimizers.Adam(0.001),
+                metrics=[tf.keras.metrics.RootMeanSquaredError()])
+
+model.fit(train_X, train_Y, verbose=verbose, epochs=epochs)
+
+signature = mlflow.models.signature.infer_signature(train_X.numpy(), model.predict(train_X.numpy()))
+input_data = test_X
+
+with mlflow.start_run():
+    mlflow.keras.save_model(model, "movies_on_streaming_platforms_model", input_example=input_data.numpy(), signature=signature)
+
+
diff --git a/mlruns/0/724dc0d672664057b760fe5f18801036/meta.yaml b/mlruns/0/724dc0d672664057b760fe5f18801036/meta.yaml
new file mode 100644
index 0000000..89380dc
--- /dev/null
+++ b/mlruns/0/724dc0d672664057b760fe5f18801036/meta.yaml
@@ -0,0 +1,15 @@
+artifact_uri: file:///Volumes/seagate/ium_434704/mlruns/0/724dc0d672664057b760fe5f18801036/artifacts
+end_time: 1621772380826
+entry_point_name: ''
+experiment_id: '0'
+lifecycle_stage: active
+name: ''
+run_id: 724dc0d672664057b760fe5f18801036
+run_uuid: 724dc0d672664057b760fe5f18801036
+source_name: ''
+source_type: 4
+source_version: ''
+start_time: 1621772379167
+status: 3
+tags: []
+user_id: wj
diff --git a/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.git.commit b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.git.commit
new file mode 100644
index 0000000..f31c988
--- /dev/null
+++ b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.git.commit
@@ -0,0 +1 @@
+b82917a5d90e071de9b67f2b6648be0353c54b62
\ No newline at end of file
diff --git a/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.name b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.name
new file mode 100644
index 0000000..87f4742
--- /dev/null
+++ b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.name
@@ -0,0 +1 @@
+ml_model.py
\ No newline at end of file
diff --git a/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.type b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.type
new file mode 100644
index 0000000..0c2c1fe
--- /dev/null
+++ b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.source.type
@@ -0,0 +1 @@
+LOCAL
\ No newline at end of file
diff --git a/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.user b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.user
new file mode 100644
index 0000000..1fa4079
--- /dev/null
+++ b/mlruns/0/724dc0d672664057b760fe5f18801036/tags/mlflow.user
@@ -0,0 +1 @@
+wj
\ No newline at end of file
diff --git a/movies_on_streaming_platforms_model/MLmodel b/movies_on_streaming_platforms_model/MLmodel
new file mode 100644
index 0000000..9a8b98e
--- /dev/null
+++ b/movies_on_streaming_platforms_model/MLmodel
@@ -0,0 +1,20 @@
+flavors:
+  keras:
+    data: data
+    keras_module: tensorflow.keras
+    keras_version: 2.5.0
+    save_format: tf
+  python_function:
+    data: data
+    env: conda.yaml
+    loader_module: mlflow.keras
+    python_version: 3.9.1
+saved_input_example_info:
+  artifact_path: input_example.json
+  format: tf-serving
+  type: ndarray
+signature:
+  inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 3]}}]'
+  outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
+    1]}}]'
+utc_time_created: '2021-05-23 12:19:39.663838'
diff --git a/movies_on_streaming_platforms_model/conda.yaml b/movies_on_streaming_platforms_model/conda.yaml
new file mode 100644
index 0000000..17949eb
--- /dev/null
+++ b/movies_on_streaming_platforms_model/conda.yaml
@@ -0,0 +1,10 @@
+channels:
+- defaults
+- conda-forge
+dependencies:
+- python=3.9.1
+- pip
+- pip:
+  - mlflow
+  - tensorflow==2.5.0-rc1
+name: mlflow-env
diff --git a/movies_on_streaming_platforms_model/data/keras_module.txt b/movies_on_streaming_platforms_model/data/keras_module.txt
new file mode 100644
index 0000000..2c73dfd
--- /dev/null
+++ b/movies_on_streaming_platforms_model/data/keras_module.txt
@@ -0,0 +1 @@
+tensorflow.keras
\ No newline at end of file
diff --git a/movies_on_streaming_platforms_model/data/model/keras_metadata.pb b/movies_on_streaming_platforms_model/data/model/keras_metadata.pb
new file mode 100644
index 0000000..2cd9b0a
--- /dev/null
+++ b/movies_on_streaming_platforms_model/data/model/keras_metadata.pb
@@ -0,0 +1,9 @@
+
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+�
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+�root.layer_with_weights-4"_tf_keras_layer*�{"name": "dense_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 11}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 12}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 13, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 25}}, "shared_object_id": 19}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 25]}}2


+�
Jroot.keras_api.metrics.0"_tf_keras_metric*�
{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 20}2


+�
Kroot.keras_api.metrics.1"_tf_keras_metric*�
{"class_name": "RootMeanSquaredError", "name": "root_mean_squared_error", "dtype": "float32", "config": {"name": "root_mean_squared_error", "dtype": "float32"}, "shared_object_id": 15}2


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diff --git a/movies_on_streaming_platforms_model/data/model/saved_model.pb b/movies_on_streaming_platforms_model/data/model/saved_model.pb
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diff --git a/movies_on_streaming_platforms_model/data/model/variables/variables.data-00000-of-00001 b/movies_on_streaming_platforms_model/data/model/variables/variables.data-00000-of-00001
new file mode 100644
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diff --git a/movies_on_streaming_platforms_model/data/model/variables/variables.index b/movies_on_streaming_platforms_model/data/model/variables/variables.index
new file mode 100644
index 0000000000000000000000000000000000000000..70e94255548e921c53fee512dff736c2238ed2b4
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diff --git a/movies_on_streaming_platforms_model/data/save_format.txt b/movies_on_streaming_platforms_model/data/save_format.txt
new file mode 100644
index 0000000..439ab29
--- /dev/null
+++ b/movies_on_streaming_platforms_model/data/save_format.txt
@@ -0,0 +1 @@
+tf
\ No newline at end of file
diff --git a/movies_on_streaming_platforms_model/input_example.json b/movies_on_streaming_platforms_model/input_example.json
new file mode 100644
index 0000000..64a4e35
--- /dev/null
+++ b/movies_on_streaming_platforms_model/input_example.json
@@ -0,0 +1 @@
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