my_default_monitor.create_monitoring_schedule(
    monitor_schedule_name=mon_schedule_name,
    endpoint_input=predictor.endpoint_name,
    #record_preprocessor_script=pre_processor_script,
    post_analytics_processor_script=s3_code_postprocessor_uri,
    output_s3_uri=s3_report_path,
    statistics=my_default_monitor.baseline_statistics(),
    constraints=my_default_monitor.suggested_constraints(),
    schedule_cron_expression=CronExpressionGenerator.hourly(),
    enable_cloudwatch_metrics=True,
)

# cell 18
from smdebug.trials import create_trial

description = client.describe_training_job(TrainingJobName=job_name)
s3_output_path = xgboost_estimator.latest_job_debugger_artifacts_path()

# This is where we create a Trial object that allows access to saved tensors.
trial = create_trial(s3_output_path)

(...)

DEPRECATION: Python 2.7 reached the end of its life on January 1st, 2020. Please upgrade your Python as Python 2.7 is no longer maintained. pip 21.0 will drop support for Python 2.7 in January 2021. More details about Python 2 support in pip can be found at https://pip.pypa.io/en/latest/development/release-process/#python-2-support pip 21.0 will remove support for this functionality.

(...)

Collecting gevent
  Downloading gevent-21.8.0.tar.gz (6.2 MB)
  Installing build dependencies: started
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
  Getting requirements to build wheel: finished with status 'done'
    Preparing wheel metadata: started
    Preparing wheel metadata: finished with status 'done'

(...)

Building wheels for collected packages: gevent
  Building wheel for gevent (PEP 517): started
  Building wheel for gevent (PEP 517): finished with status 'error'
  ERROR: Command errored out with exit status 1:
   command: /usr/bin/python /usr/local/lib/python2.7/dist-packages/pip/_vendor/pep517/_in_process.py build_wheel /tmp/tmpQHzSIn
       cwd: /tmp/pip-install-OouyxP/gevent
  Complete output (344 lines):
  running bdist_wheel
  running build
  running build_py
  creating build
  creating build/lib.linux-x86_64-2.7
  creating build/lib.linux-x86_64-2.7/gevent
  copying src/gevent/_monitor.py -> build/lib.linux-x86_64-2.7/gevent
(<Removing additional copying>)
  copying src/gevent/testing/six.py -> build/lib.linux-x86_64-2.7/gevent/testing
  creating build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/thread.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/_addresses.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/_hostsfile.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/__init__.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/blocking.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/ares.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  copying src/gevent/resolver/dnspython.py -> build/lib.linux-x86_64-2.7/gevent/resolver
  creating build/lib.linux-x86_64-2.7/gevent/_ffi
  copying src/gevent/_ffi/watcher.py -> build/lib.linux-x86_64-2.7/gevent/_ffi
  copying src/gevent/_ffi/callback.py -> build/lib.linux-x86_64-2.7/gevent/_ffi
  copying src/gevent/_ffi/__init__.py -> build/lib.linux-x86_64-2.7/gevent/_ffi
  copying src/gevent/_ffi/loop.py -> build/lib.linux-x86_64-2.7/gevent/_ffi
  creating build/lib.linux-x86_64-2.7/gevent/libev
  copying src/gevent/libev/watcher.py -> build/lib.linux-x86_64-2.7/gevent/libev
  copying src/gevent/libev/corecffi.py -> build/lib.linux-x86_64-2.7/gevent/libev
  copying src/gevent/libev/__init__.py -> build/lib.linux-x86_64-2.7/gevent/libev
  copying src/gevent/libev/_corecffi_build.py -> build/lib.linux-x86_64-2.7/gevent/libev
  creating build/lib.linux-x86_64-2.7/gevent/libuv
  copying src/gevent/libuv/watcher.py -> build/lib.linux-x86_64-2.7/gevent/libuv
  copying src/gevent/libuv/__init__.py -> build/lib.linux-x86_64-2.7/gevent/libuv
  copying src/gevent/libuv/_corecffi_build.py -> build/lib.linux-x86_64-2.7/gevent/libuv
  copying src/gevent/libuv/loop.py -> build/lib.linux-x86_64-2.7/gevent/libuv
  creating build/lib.linux-x86_64-2.7/gevent/tests/monkey_package
  copying src/gevent/tests/monkey_package/issue1526_no_monkey.py -> build/lib.linux-x86_64-2.7/gevent/tests/monkey_package
(<Removing additional copying>)
  copying src/gevent/tests/test_server.key -> build/lib.linux-x86_64-2.7/gevent/tests
  creating build/lib.linux-x86_64-2.7/gevent/testing/coveragesite
  copying src/gevent/testing/coveragesite/sitecustomize.py -> build/lib.linux-x86_64-2.7/gevent/testing/coveragesite
  running build_ext
  generating cffi module 'build/temp.linux-x86_64-2.7/gevent.libuv._corecffi.c'
  creating build/temp.linux-x86_64-2.7
  Running '(cd  "/tmp/pip-install-OouyxP/gevent/deps/libev"  && sh ./configure -C > configure-output.txt )' in /tmp/pip-install-OouyxP/gevent
  configure: error: in `/tmp/pip-install-OouyxP/gevent/deps/libev':
  configure: error: no acceptable C compiler found in $PATH
  See `config.log' for more details
  Traceback (most recent call last):
    File "/usr/local/lib/python2.7/dist-packages/pip/_vendor/pep517/_in_process.py", line 280, in <module>
      main()
    File "/usr/local/lib/python2.7/dist-packages/pip/_vendor/pep517/_in_process.py", line 263, in main
      json_out['return_val'] = hook(**hook_input['kwargs'])
    File "/usr/local/lib/python2.7/dist-packages/pip/_vendor/pep517/_in_process.py", line 205, in build_wheel
      metadata_directory)
    File "/usr/local/lib/python2.7/dist-packages/setuptools/build_meta.py", line 209, in build_wheel
      wheel_directory, config_settings)
    File "/usr/local/lib/python2.7/dist-packages/setuptools/build_meta.py", line 194, in _build_with_temp_dir
      self.run_setup()
    File "/usr/local/lib/python2.7/dist-packages/setuptools/build_meta.py", line 243, in run_setup
      self).run_setup(setup_script=setup_script)
    File "/usr/local/lib/python2.7/dist-packages/setuptools/build_meta.py", line 142, in run_setup
      exec(compile(code, __file__, 'exec'), locals())
    File "setup.py", line 481, in <module>
      run_setup(EXT_MODULES)
    File "setup.py", line 465, in run_setup
      "signal_os_incompat = gevent.monkey:_subscribe_signal_os",
    File "/usr/local/lib/python2.7/dist-packages/setuptools/__init__.py", line 162, in setup
      return distutils.core.setup(**attrs)
    File "/usr/lib/python2.7/distutils/core.py", line 151, in setup
      dist.run_commands()
    File "/usr/lib/python2.7/distutils/dist.py", line 953, in run_commands
      self.run_command(cmd)
    File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
      cmd_obj.run()
    File "/usr/local/lib/python2.7/dist-packages/wheel/bdist_wheel.py", line 299, in run
      self.run_command('build')
    File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
      self.distribution.run_command(command)
    File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
      cmd_obj.run()
    File "/usr/lib/python2.7/distutils/command/build.py", line 128, in run
      self.run_command(cmd_name)
    File "/usr/lib/python2.7/distutils/cmd.py", line 326, in run_command
      self.distribution.run_command(command)
    File "/usr/lib/python2.7/distutils/dist.py", line 972, in run_command
      cmd_obj.run()
    File "/tmp/pip-build-env-99XjyX/overlay/lib/python2.7/site-packages/cffi/setuptools_ext.py", line 143, in run
      ext.sources[0] = make_mod(self.build_temp, pre_run)
    File "/tmp/pip-build-env-99XjyX/overlay/lib/python2.7/site-packages/cffi/setuptools_ext.py", line 128, in make_mod
      pre_run(ext, ffi)
    File "/tmp/pip-install-OouyxP/gevent/_setuputils.py", line 364, in pre_run
      action()
    File "/tmp/pip-install-OouyxP/gevent/_setuplibev.py", line 55, in configure_libev
      system(libev_configure_command)
    File "/tmp/pip-install-OouyxP/gevent/_setuputils.py", line 195, in system
      if _system(cmd, cwd=cwd, env=env, **kwargs):
    File "/tmp/pip-install-OouyxP/gevent/_setuputils.py", line 191, in _system
      return check_call(cmd, cwd=cwd, env=env, **kwargs)
    File "/usr/lib/python2.7/subprocess.py", line 541, in check_call
      raise CalledProcessError(retcode, cmd)
  subprocess.CalledProcessError: Command '(cd  "/tmp/pip-install-OouyxP/gevent/deps/libev"  && sh ./configure -C > configure-output.txt )' returned non-zero exit status 1
  ----------------------------------------
  ERROR: Failed building wheel for gevent
Failed to build gevent
ERROR: Could not build wheels for gevent which use PEP 517 and cannot be installed directly
The command '/bin/sh -c wget https://bootstrap.pypa.io/pip/2.7/get-pip.py && python get-pip.py &&     pip install numpy==1.16.2 scipy==1.2.1 scikit-learn==0.20.2 pandas flask gevent gunicorn &&         (cd /usr/local/lib/python2.7/dist-packages/scipy/.libs; rm *; ln ../../numpy/.libs/* .) &&         rm -rf /root/.cache' returned a non-zero code: 1

# Manually override *_instance_type variables to workaround breaking change to image_uris.retrieve()
# https://github.com/aws/sagemaker-python-sdk/issues/3141
processing_instance_type = "ml.m5.xlarge"
training_instance_type = "ml.m5.xlarge"

/opt/conda/lib/python3.7/site-packages/secretstorage/dhcrypto.py:16: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead
  from cryptography.utils import int_from_bytes
/opt/conda/lib/python3.7/site-packages/secretstorage/util.py:25: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead
  from cryptography.utils import int_from_bytes
Collecting sagemaker-studio-image-build
  Using cached sagemaker_studio_image_build-0.6.0.tar.gz (13 kB)
  Preparing metadata (setup.py) ... error
  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [20 lines of output]
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-3i1kn8pn/sagemaker-studio-image-build_a6da33aa92b34b98b5c2d69117b36e40/setup.py", line 33, in <module>
          package_data={"sagemaker_studio_image_build": ["*.yml", "data/**"]},
        File "/opt/conda/lib/python3.7/site-packages/setuptools/__init__.py", line 87, in setup
          return distutils.core.setup(**attrs)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 109, in setup
          _setup_distribution = dist = klass(attrs)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 466, in __init__
          for k, v in attrs.items()
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 293, in __init__
          self.finalize_options()
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 885, in finalize_options
          for ep in sorted(loaded, key=by_order):
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 884, in <lambda>
          loaded = map(lambda e: e.load(), filtered)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_vendor/importlib_metadata/__init__.py", line 196, in load
          return functools.reduce(getattr, attrs, module)
      AttributeError: type object 'Distribution' has no attribute '_finalize_feature_opts'
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.

Error getting project tags: module 'pipelines.customer_churn.pipeline' has no attribute 'get_pipeline_custom_tags'
529 | No finished training job found associated with this estimator. Please make sure this estimator is only used for building

def get_sagemaker_client(region):
     """Gets the sagemaker client.

        Args:
            region: the aws region to start the session
            default_bucket: the bucket to use for storing the artifacts

        Returns:
            `sagemaker.session.Session instance
        """
     boto_session = boto3.Session(region_name=region)
     sagemaker_client = boto_session.client("sagemaker")
     return sagemaker_client


def get_pipeline_custom_tags(new_tags, region, sagemaker_project_name=None):
     try:
         sm_client = get_sagemaker_client(region)
         response = sm_client.describe_project(ProjectName=sagemaker_project_name)
         sagemaker_project_arn = response["ProjectArn"]
         response = sm_client.list_tags(
             ResourceArn=sagemaker_project_arn)
         project_tags = response["Tags"]
         for project_tag in project_tags:
             new_tags.append(project_tag)
     except Exception as e:
         print(f"Error getting project tags: {e}")
     return new_tags

`Requirement already satisfied: pip in /opt/conda/lib/python3.7/site-packages (23.0.1)
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [20 lines of output]
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-633ajwu1/aiobotocore_87f4867a92af42909769433ea8237476/setup.py", line 69, in <module>
          include_package_data=True
        File "/opt/conda/lib/python3.7/site-packages/setuptools/__init__.py", line 87, in setup
          return distutils.core.setup(**attrs)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 147, in setup
          _setup_distribution = dist = klass(attrs)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 479, in __init__
          for k, v in attrs.items()
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 283, in __init__
          self.finalize_options()
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 898, in finalize_options
          for ep in sorted(loaded, key=by_order):
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 897, in <lambda>
          loaded = map(lambda e: e.load(), filtered)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_vendor/importlib_metadata/__init__.py", line 196, in load
          return functools.reduce(getattr, attrs, module)
      AttributeError: type object 'Distribution' has no attribute '_finalize_feature_opts'
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
  error: subprocess-exited-with-error
  
  × python setup.py egg_info did not run successfully.
  │ exit code: 1
  ╰─> [20 lines of output]
      Traceback (most recent call last):
        File "<string>", line 36, in <module>
        File "<pip-setuptools-caller>", line 34, in <module>
        File "/tmp/pip-install-dg0kz7eb/sagemaker-studio-image-build_98ae0ba9b2624630adb603dd2cb1084d/setup.py", line 33, in <module>
          package_data={"sagemaker_studio_image_build": ["*.yml", "data/**"]},
        File "/opt/conda/lib/python3.7/site-packages/setuptools/__init__.py", line 87, in setup
          return distutils.core.setup(**attrs)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_distutils/core.py", line 147, in setup
          _setup_distribution = dist = klass(attrs)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 479, in __init__
          for k, v in attrs.items()
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_distutils/dist.py", line 283, in __init__
          self.finalize_options()
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 898, in finalize_options
          for ep in sorted(loaded, key=by_order):
        File "/opt/conda/lib/python3.7/site-packages/setuptools/dist.py", line 897, in <lambda>
          loaded = map(lambda e: e.load(), filtered)
        File "/opt/conda/lib/python3.7/site-packages/setuptools/_vendor/importlib_metadata/__init__.py", line 196, in load
          return functools.reduce(getattr, attrs, module)
      AttributeError: type object 'Distribution' has no attribute '_finalize_feature_opts'
      [end of output]
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.`

%%sh

# Cell #2

cd container

chmod +x decision_trees/train
chmod +x decision_trees/serve

sm-docker build .  --repository sagemaker-decision-trees:latest

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "Service": [
          "sagemaker.amazonaws.com",
          "codebuild.amazonaws.com"
        ]
      },
      "Action": "sts:AssumeRole"
    }
  ]
}

    df = pd.read_csv(file_path)
    ## Convert to datetime columns
    df["firstorder"]=pd.to_datetime(df["firstorder"],errors='coerce')
    df["lastorder"] = pd.to_datetime(df["lastorder"],errors='coerce')
    ## Drop Rows with null values
    df = df.dropna()
    ## Create Column which gives the days between the last order and the first order
    df["first_last_days_diff"] = (df['lastorder']-df['firstorder']).dt.days
    ## Create Column which gives the days between when the customer record was created and the first order
    df['created'] = pd.to_datetime(df['created'])
    df['created_first_days_diff']=(df['created']-df['firstorder']).dt.days
    ## Drop Columns
    df.drop(['custid','created','firstorder','lastorder'],axis=1,inplace=True)
    ## Apply one hot encoding on favday and city columns
    df = pd.get_dummies(df,prefix=['favday','city'],columns=['favday','city'])
    return df
    
# convert the store_data file into csv format
store_data = pd.read_excel("storedata_total.xlsx")
store_data.to_csv("storedata_total.csv")

Error: Customer Error: Non-numeric value 'F' found in the header line 'False,54,3,999,0,1,0,False,False,False,False,False...' of file 'train.csv'. CSV format require no header line in it. If header line is already removed, XGBoost does not accept non-numeric value in the data.