rename project files to new repo name

Author: Kevin Glinski

.gitignore

@@ -8,4 +8,4 @@
 startDevEnv.sh
 *.zip
 .vscode
-aws_glue_etl_jupyter_deploy
+aws_glue_etl_docker_deploy

README.md

@@ -5,7 +5,7 @@ This project is a helper for creating scripts that run in both [AWS Glue](https:
 Glue has specific methods to load and save data to s3 which won't work when running in a jupyter notebook.  The glueshim provides a higher level api to work in both scenarios.  
 
 ```python
-from aws_glue_etl_jupyter import glueshim
+from aws_glue_etl_docker import glueshim
 shim = glueshim.GlueShim()
 
 params = shim.arguments({'data_bucket': "examples"})
@@ -40,7 +40,7 @@ Running locally is easiest in a docker container
 
 ```python
 import sys
-!{sys.executable} -m pip install git+https://github.com/purecloudlabs/aws_glue_etl_jupyter
+!{sys.executable} -m pip install git+https://github.com/purecloudlabs/aws_glue_etl_docker
 ```
 
 ## AWS Deployment
@@ -55,16 +55,16 @@ The shim is currently setup to delete any data in the output folder so that if y
 
 ## Converting Workbook to Python Script
 
-aws_glue_etl_jupyter can also be used as a cli tool to clean up Jupyter metadata from a workbook or convert it to a python script.
+aws_glue_etl_docker can also be used as a cli tool to clean up Jupyter metadata from a workbook or convert it to a python script.
 
 ## Clean
 
 The clean command will open all workbooks in a given path and remove any metadata, output and execution information. This keeps the workbooks cleaner in source control
 
-``` aws_glue_etl_jupyter clean --path /dir/to/workbooks  ```
+``` aws_glue_etl_docker clean --path /dir/to/workbooks  ```
 
 ## Build
 
-The build command will open all workbooks in a given path and convert them to python scripts.  Build will convert any markdown cells to multiline comments.  This command will not convert any cells that contain ```#LOCALDEV``` or lines that start with ```!``` as in ```!{sys.executable} -m pip install git+https://github.com/purecloudlabs/aws_glue_etl_jupyter```
+The build command will open all workbooks in a given path and convert them to python scripts.  Build will convert any markdown cells to multiline comments.  This command will not convert any cells that contain ```#LOCALDEV``` or lines that start with ```!``` as in ```!{sys.executable} -m pip install git+https://github.com/purecloudlabs/aws_glue_etl_docker```
 
-``` aws_glue_etl_jupyter build --path /dir/to/workbooks  ```
+``` aws_glue_etl_docker build --path /dir/to/workbooks  ```

aws_glue_etl_jupyter/__init__.py aws_glue_etl_docker/__init__.py

@@ -1,11 +1,11 @@
 #!/usr/bin/env bash
-rm -rf aws_glue_etl_jupyter_deploy
-mkdir aws_glue_etl_jupyter_deploy
-cd aws_glue_etl_jupyter_deploy
-echo "git+https://github.com/purecloudlabs/aws_glue_etl_jupyter" > requirements.txt
+rm -rf aws_glue_etl_docker_deploy
+mkdir aws_glue_etl_docker_deploy
+cd aws_glue_etl_docker_deploy
+echo "git+https://github.com/purecloudlabs/aws_glue_etl_docker" > requirements.txt
 mkdir deps
 virtualenv -p python2.7 .
 bin/pip2.7 install -r requirements.txt --install-option --install-lib="$(PWD)/deps"
-cd deps && zip -r ../aws_glue_etl_jupyter_deploy.zip . && cd ..
-aws s3 cp ./aws_glue_etl_jupyter_deploy.zip $1
+cd deps && zip -r ../aws_glue_etl_docker_deploy.zip . && cd ..
+aws s3 cp ./aws_glue_etl_docker_deploy.zip $1
 

aws_glue_etl_jupyter/__main__.py aws_glue_etl_docker/__main__.py

@@ -7,7 +7,7 @@
             "cell_type": "code",
             "source": [
                 "import sys\n",
-                "!{sys.executable} -m pip install git+https://github.com/purecloudlabs/aws_glue_etl_jupyter.git\n",
+                "!{sys.executable} -m pip install git+https://github.com/purecloudlabs/aws_glue_etl_docker.git\n",
                 "# Because the previous line starts with a !, it will be removed from the output py file"
             ],
             "outputs": [],
@@ -24,7 +24,7 @@
             "execution_count": 0,
             "cell_type": "code",
             "source": [
-                "from aws_glue_etl_jupyter import glueshim\n",
+                "from aws_glue_etl_docker import glueshim\n",
                 "\n",
                 "print(\"starting\")\n",
                 "print(sys.argv)\n",

aws_glue_etl_jupyter/glueshim.py aws_glue_etl_docker/glueshim.py

@@ -1,12 +1,12 @@
 from setuptools import setup
 setup(
-    name = 'aws_glue_etl_jupyter',
+    name = 'aws_glue_etl_docker',
     version = '0.2.0',
-    packages = ['aws_glue_etl_jupyter'],
+    packages = ['aws_glue_etl_docker'],
     license='mit',
     install_requires = ['boto3'],
     entry_points = {
         'console_scripts': [
-            'aws_glue_etl_jupyter = aws_glue_etl_jupyter.__main__:main'
+            'aws_glue_etl_docker = aws_glue_etl_docker.__main__:main'
         ]
     })