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Merge pull request #5 from Azure/Task_Restructure_Pip
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Code restructured and pip installation
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iVincentFeng authored Jun 7, 2018
2 parents 4aadc7c + 785efbe commit 67c7b0f
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Showing 44 changed files with 187 additions and 93 deletions.
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"cells": [
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 1,
"metadata": {},
"outputs": [
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
"version": "3.6.5"
}
},
"nbformat": 4,
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21 changes: 21 additions & 0 deletions adlmagics/LICENSE
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MIT License

Copyright (c) Microsoft Corporation. All rights reserved.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE
53 changes: 53 additions & 0 deletions adlmagics/README.md
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# Azure Data Service Notebook
Azure Data Service Notebook is a set of tool for working with Azure Data Service (including HDInsight, Azure Data Lake, etc)


# Feature
Azure Data Service Notebook currently provides a set of magic commands for users to access Azure Data Lake. Available magics are captured in the table below.

| Commands | Function |
|-----|-----|
|%adl login |Line magic to log in to Azure Data Lake.|
|%adl listaccounts|Line magic to list the Azure Data Lake analytic accounts for current user.|
|%adl listjobs|Line magic to list the Azure Data Lake jobs for a given account.|
|%%adl submitjob|Cell magic to submit a USQL job to ADL cluster.|
|%adl viewjob|Line magic to view job info.|
|%adl liststorefile|Line magic to list the Azure Data Lake store accounts.|
|%adl sample|Line magic to sample a given file, return results as Pandas DataFrame.|
|%adl logout|Line magic to log out.|


# Installation

- Download and Install [python 3.6+](https://www.python.org/downloads/)
- Install jupyter: `pip install jupyter`
- Install azure packages fully :
`pip install azure`
- Or just install the key packages :
- `pip install adla`
- `pip install azure-mgmt-resource`
- `pip install azure-mgmt-datalake-analytics`
- `pip install azure-mgmt-datalake-store`
- `pip install azure-datalake-store`
- Copy the [adlmagic folder](/analytics_notebook/adlmagics) to local box.


# Examples
- [adlmagics_demo.ipynb](/analytics_notebook/adlmagics/00_adlmagics_demo.ipynb), demo file of Azure Data Lake job control functions.



# Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a
Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us
the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide
a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions
provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or
contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
4 changes: 4 additions & 0 deletions adlmagics/adlmagics/__init__.py
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from adlmagics.adlmagics_main import AdlMagics

def load_ipython_extension(ipython):
ipython.register_magics(AdlMagics)
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from sys import stdout
from os import linesep

from services.azure_token_service import AzureTokenService
from services.adla_service_sdk_impl import AdlaServiceSdkImpl
from services.adls_service_sdk_impl import AdlsServiceSdkImpl

from magics.azure.azure_magic_base import AzureMagicBase
from magics.azure.azure_login_magic import AzureLoginMagic
from magics.azure.azure_logout_magic import AzureLogoutMagic

from magics.adla.adla_magic_base import AdlaMagicBase
from magics.adla.adla_accounts_listing_magic import AdlaAccountsListingMagic
from magics.adla.adla_job_viewing_magic import AdlaJobViewingMagic
from magics.adla.adla_job_submission_magic import AdlaJobSubmissionMagic
from magics.adla.adla_jobs_listing_magic import AdlaJobsListingMagic

from magics.adls.adls_magic_base import AdlsMagicBase
from magics.adls.adls_accounts_listing_magic import AdlsAccountsListingMagic
from magics.adls.adls_folders_listing_magic import AdlsFoldersListingMagic
from magics.adls.adls_files_listing_magic import AdlsFilesListingMagic
from magics.adls.adls_file_sampling_magic import AdlsFileSamplingMagic
from adlmagics.services.azure_token_service import AzureTokenService
from adlmagics.services.adla_service_sdk_impl import AdlaServiceSdkImpl
from adlmagics.services.adls_service_sdk_impl import AdlsServiceSdkImpl

from adlmagics.magics.azure.azure_magic_base import AzureMagicBase
from adlmagics.magics.azure.azure_login_magic import AzureLoginMagic
from adlmagics.magics.azure.azure_logout_magic import AzureLogoutMagic

from adlmagics.magics.adla.adla_magic_base import AdlaMagicBase
from adlmagics.magics.adla.adla_accounts_listing_magic import AdlaAccountsListingMagic
from adlmagics.magics.adla.adla_job_viewing_magic import AdlaJobViewingMagic
from adlmagics.magics.adla.adla_job_submission_magic import AdlaJobSubmissionMagic
from adlmagics.magics.adla.adla_jobs_listing_magic import AdlaJobsListingMagic

from adlmagics.magics.adls.adls_magic_base import AdlsMagicBase
from adlmagics.magics.adls.adls_accounts_listing_magic import AdlsAccountsListingMagic
from adlmagics.magics.adls.adls_folders_listing_magic import AdlsFoldersListingMagic
from adlmagics.magics.adls.adls_files_listing_magic import AdlsFilesListingMagic
from adlmagics.magics.adls.adls_file_sampling_magic import AdlsFileSamplingMagic

@magics_class
class AdlMagics(Magics):
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self.__magics[adls_magic.cmd_name.lower()] = adls_magic

def __write_line(self, text):
stdout.write(text + linesep)

def load_ipython_extension(ipython):
ipython.register_magics(AdlMagics)
stdout.write(text + linesep)
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.adla.adla_magic_base import AdlaMagicBase
from adlmagics.magics.adla.adla_magic_base import AdlaMagicBase

class AdlaAccountsListingMagic(AdlaMagicBase):
def __init__(self, adla_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.adla.adla_magic_base import AdlaMagicBase
from models.adla_job_submission import AdlaJobSubmission
from adlmagics.magics.adla.adla_magic_base import AdlaMagicBase
from adlmagics.models.adla_job_submission import AdlaJobSubmission

class AdlaJobSubmissionMagic(AdlaMagicBase):
def __init__(self, adla_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.adla.adla_magic_base import AdlaMagicBase
from adlmagics.magics.adla.adla_magic_base import AdlaMagicBase

class AdlaJobViewingMagic(AdlaMagicBase):
def __init__(self, adla_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring
from os import linesep

from magics.adla.adla_magic_base import AdlaMagicBase
from adlmagics.magics.adla.adla_magic_base import AdlaMagicBase

class AdlaJobsListingMagic(AdlaMagicBase):
def __init__(self, adla_service):
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from magics.magic_base import MagicBase
from adlmagics.magics.magic_base import MagicBase

class AdlaMagicBase(MagicBase):
def __init__(self, cmd_name, adla_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.adls.adls_magic_base import AdlsMagicBase
from adlmagics.magics.adls.adls_magic_base import AdlsMagicBase

class AdlsAccountsListingMagic(AdlsMagicBase):
def __init__(self, adls_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring
from pandas import DataFrame

from magics.adls.adls_magic_base import AdlsMagicBase
from adlmagics.magics.adls.adls_magic_base import AdlsMagicBase

class AdlsFileSamplingMagic(AdlsMagicBase):
def __init__(self, adls_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.adls.adls_magic_base import AdlsMagicBase
from adlmagics.magics.adls.adls_magic_base import AdlsMagicBase

class AdlsFilesListingMagic(AdlsMagicBase):
def __init__(self, adls_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.adls.adls_magic_base import AdlsMagicBase
from adlmagics.magics.adls.adls_magic_base import AdlsMagicBase

class AdlsFoldersListingMagic(AdlsMagicBase):
def __init__(self, adls_service):
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from magics.magic_base import MagicBase
from adlmagics.magics.magic_base import MagicBase

class AdlsMagicBase(MagicBase):
def __init__(self, cmd_name, adls_service):
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from IPython.core.magic_arguments import magic_arguments, argument, parse_argstring

from magics.azure.azure_magic_base import AzureMagicBase
from adlmagics.magics.azure.azure_magic_base import AzureMagicBase

class AzureLoginMagic(AzureMagicBase):
def __init__(self, token_service):
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from magics.azure.azure_magic_base import AzureMagicBase
from adlmagics.magics.azure.azure_magic_base import AzureMagicBase

class AzureLogoutMagic(AzureMagicBase):
def __init__(self, token_service):
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from magics.magic_base import MagicBase
from adlmagics.magics.magic_base import MagicBase

class AzureMagicBase(MagicBase):
def __init__(self, cmd_name, token_service):
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from azure.mgmt.datalake.analytics.job.models import JobInformation, USqlJobProperties, JobType
from uuid import uuid4

from exceptions import UserNotLoggedInError
from magics.adla.adla_consts import AdlaJobConsts
from models.adla_account import AdlaAccount
from models.adla_job import AdlaJob
from adlmagics.exceptions import UserNotLoggedInError
from adlmagics.magics.adla.adla_consts import AdlaJobConsts
from adlmagics.models.adla_account import AdlaAccount
from adlmagics.models.adla_job import AdlaJob

class AdlaServiceSdkImpl:
def __init__(self, token_service):
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from datetime import datetime
from sys import stdout

from exceptions import UserNotLoggedInError
from models.adls_account import AdlsAccount
from models.adls_folder import AdlsFolder
from models.adls_file import AdlsFile
from adlmagics.exceptions import UserNotLoggedInError
from adlmagics.models.adls_account import AdlsAccount
from adlmagics.models.adls_folder import AdlsFolder
from adlmagics.models.adls_file import AdlsFile

class AdlsServiceSdkImpl:
def __init__(self, token_service):
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for read_line in f:
read_lines.append(read_line.decode(encoding).strip().split(column_sep))
read_line_count += 1
if (read_line_count > to_be_read_line_count):
if (read_line_count >= to_be_read_line_count):
break

return read_lines
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10 changes: 10 additions & 0 deletions adlmagics/requirements.txt
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ipython>=5.3.0
notebook>=5.0.0
ipykernel>=4.6.1
pandas>=0.20.1
numpy
adal
azure-mgmt-resource
azure-mgmt-datalake-analytics
azure-mgmt-datalake-store
azure-datalake-store
54 changes: 54 additions & 0 deletions adlmagics/setup.py
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import setuptools

name = "adlmagics"
description = "Azure Data Lake management magics for Jupyter Notebook"
long_description = ""
version = "0.0.1"
packages = ["adlmagics",
"adlmagics/magics/adla",
"adlmagics/magics/adls",
"adlmagics/magics/azure",
"adlmagics/magics/session",
"adlmagics/models",
"adlmagics/services"]
author = "Vincent Feng"
author_email = "ivincentfeng@live.com"
url = "https://github.com/Azure/Azure-Data-Service-Notebook"
download_url = "https://github.com/Azure/Azure-Data-Service-Notebook"
license = "MIT"

with open("README.md", "r") as f:
long_description = f.read()

setuptools.setup(
name = name,
version = version,
description = description,
long_description = long_description,
long_description_content_type = "text/markdown",
author = author,
author_email = author_email,
url = url,
download_url = download_url,
license = license,
packages = setuptools.find_packages(),
include_package_data = True,
classifiers = [
"Development Status :: 3 - Alpha",
"Framework :: Jupyter",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Programming Language :: Python :: 3.6",
"Operating System :: OS Independent"],
install_requires = [
"ipython>=5.3.0",
"notebook>=5.0.0",
"ipykernel>=4.6.1",
"pandas>=0.20.1",
"numpy",
"adal",
"azure-mgmt-resource",
"azure-mgmt-datalake-analytics",
"azure-mgmt-datalake-store",
"azure-datalake-store"])
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