Update README files

Update requirements files

Author: wasin-waeosri

README.md

@@ -84,14 +84,14 @@ This example project contains the following files and folders
 
 The first step is to unzip or download the example project folder into a directory of your choice, then choose how to run the application based on your environment below.
 
-### <a id="how_to_setup"></a>Set Up Environment
+### <a id="how_to_setup_console"></a>Set Up A Console Environment
 
 It is an advisable to create a dedicate Python environment to run each Python project. You can create a new Conda environment names *MRN_RTO* with the following steps
 
 1. Open Anaconda Prompt and go to the project's folder
 2. Run the following command in an Anaconda Prompt to create a Conda environment named *MRN_RTO* for the project.
   ```
-  (base) $>conda create --name MRN_RTO python=3.8
+  (base) $>conda create --name MRN_RTO python=3.10
   ```
 3. Once the environment is created, activate MRN_RTO environment with this command in Anaconda Prompt
   ```
@@ -101,24 +101,39 @@ It is an advisable to create a dedicate Python environment to run each Python pr
   ```
   (MRN_RTO) $>pip install -r requirements.txt
   ```
+
+### <a id="how_to_setup"></a>Set Up A Jupyter Notebook Environment
+
+It is an advisable to create a dedicate Python environment to run each Python project. You can create a new Conda environment names *MRN_RTO* with the following steps
+
+1. Open Anaconda Prompt and go to the project's folder
+2. Run the following command in an Anaconda Prompt to create a Conda environment named *MRN_Notebook* for the project.
+  ```
+  (base) $>conda create --name MRN_Notebook python=3.10
+  ```
+3. Once the environment is created, activate MRN_Notebook environment with this command in Anaconda Prompt
+  ```
+  (base) $>conda activate MRN_Notebook
+  ```
+4. Run the following command to install the dependencies in the *MRN_Notebook* environment 
+  ```
+  (MRN_Notebook) $>pip install -r requirements_notebook.txt
+  ```
+
 ### <a id="rtds_jupyter"></a>RTDS Jupyter Notebook example
 
 Please be informed that your Real-Time Advanced Data Hub and Real-Time Advanced Distribution Server should have a Service that contains MRN data. The Python [Anaconda](https://www.anaconda.com/distribution/) or [MiniConda](https://docs.conda.io/en/latest/miniconda.html) distribution/package manager is highly recommended for running the JupyterLab example.
 
 1. Open Anaconda Prompt and go to the project's folder
 2. Activate MRN_RTO environment with this command in Anaconda Prompt
   ```
-  (base) $>conda activate MRN_RTO
-  ```
-3. Run the following command to install the JupyterLab application and pandas in the *MRN_RTO* environment 
-  ```
-  (MRN_RTO) $>conda install -c conda-forge jupyterlab pandas
+  (base) $>conda activate MRN_Notebook
   ```
-4. In the current Anaconda Prompt, go to the project's notebook folder. Run the following command to start the JupyterLab application in the notebook folder.
+3. In the current Anaconda Prompt, go to the project's notebook folder. Run the following command to start the JupyterLab application in the notebook folder.
   ```
-  (MRN_RTO) $>jupyter lab
+  (MRN_Notebook) $>jupyter lab
   ```
-5. Open *mrn_notebook_app.ipynb* Notebook document, then follow through each notebook cell.
+4. Open *mrn_notebook_app_rtds.ipynb* Notebook document, then follow through each notebook cell.
 
 ### <a id="rtds_console"></a>RTDS Console example
 
@@ -140,17 +155,13 @@ Please be informed that your Real-Time Advanced Data Hub and Real-Time Advanced
 Please be informed that your RTO access credentials should have a permission to request MRN data. 
 
 1. Open Anaconda Prompt and go to the project's folder
-2. Activate MRN_RTO environment with this command in Anaconda Prompt
-  ```
-  (base) $>conda activate MRN_RTO
-  ```
-3. Run the following command to install the JupyterLab application in the *MRN_RTO* environment 
+2. Activate MRN_Notebook environment with this command in Anaconda Prompt
   ```
-  (MRN_RTO) $>conda install -c conda-forge jupyterlab
+  (base) $>conda activate MRN_Notebook
   ```
-4. Go to the project's notebook folder. and create a file name ```.env``` with the following content.
+3. Go to the project's notebook folder. and create a file name ```.env``` with the following content.
   ```
-  # RTO Credentials
+  # RTO Authentication Version 1 Credentials
   RTO_USERNAME=<Your RTO Machine-ID>
   RTO_PASSWORD=<Your RTO Password>
   RTO_CLIENTID=<Your RTO App Key>
@@ -160,13 +171,13 @@ Please be informed that your RTO access credentials should have a permission to
   RDP_AUTH_URL=/auth/oauth2/v1/token
   RDP_DISCOVERY_URL=/streaming/pricing/v1/
   ```
-5. In the current Anaconda Prompt notebook folder. Run the following command to start the JupyterLab application in the notebook folder.
+4. In the current Anaconda Prompt notebook folder. Run the following command to start the JupyterLab application in the notebook folder.
   ```
-  (MRN_RTO) $>jupyter lab
+  (MRN_Notebook) $>jupyter lab
   ```
-6. Open *mrn_notebook_app_rto.ipynb* Notebook document, then follow through each notebook cell.
+5. Open *mrn_notebook_app_rto_v1.ipynb* Notebook document, then follow through each notebook cell.
 
-### <a id="rto_console"></a>RTO console example
+### <a id="rto_console"></a>RTO Authentication Version 1 Console Example
 
 Please check my colleague's [LSEG-API-Samples/Example.WebSocketAPI.Python.MRN.RTO](https://github.com/LSEG-API-Samples/Example.WebSocketAPI.Python.MRN.RTO) GitHub Repository.
 

notebook/.env.example

@@ -1,3 +1,4 @@
+# RTO Authentication Version 1 Credentials
 RTO_USERNAME=Machine-ID
 RTO_PASSWORD=RTO-Password
 RTO_CLIENTID=App-Key

requirements.txt

@@ -1,12 +1,6 @@
-asttokens==2.0.5
-certifi==2021.10.8
-charset-normalizer==2.0.8
-cycler==0.10.0
-idna==3.3
-kiwisolver==1.3.1
-pyparsing==2.4.7
-python-dotenv==0.19.0
-requests==2.26.0
-urllib3==1.26.7
-websocket-client==1.2.1
-wincertstore==0.2
+certifi==2024.2.2
+charset-normalizer==3.3.2
+idna==3.7
+requests==2.31.0
+urllib3==2.2.1
+websocket-client==1.8.0

requirements_2.txt

@@ -0,0 +1,97 @@
+anyio==4.3.0
+argon2-cffi==23.1.0
+argon2-cffi-bindings==21.2.0
+arrow==1.3.0
+asttokens==2.4.1
+async-lru==2.0.4
+attrs==23.2.0
+Babel==2.15.0
+beautifulsoup4==4.12.3
+bleach==6.1.0
+certifi==2024.2.2
+cffi==1.16.0
+charset-normalizer==3.3.2
+colorama==0.4.6
+comm==0.2.2
+debugpy==1.8.1
+decorator==5.1.1
+defusedxml==0.7.1
+exceptiongroup==1.2.1
+executing==2.0.1
+fastjsonschema==2.19.1
+fqdn==1.5.1
+h11==0.14.0
+httpcore==1.0.5
+httpx==0.27.0
+idna==3.7
+ipykernel==6.29.4
+ipython==8.24.0
+isoduration==20.11.0
+jedi==0.19.1
+Jinja2==3.1.4
+json5==0.9.25
+jsonpointer==2.4
+jsonschema==4.22.0
+jsonschema-specifications==2023.12.1
+jupyter-events==0.10.0
+jupyter-lsp==2.2.5
+jupyter_client==8.6.1
+jupyter_core==5.7.2
+jupyter_server==2.14.0
+jupyter_server_terminals==0.5.3
+jupyterlab==4.2.0
+jupyterlab_pygments==0.3.0
+jupyterlab_server==2.27.1
+MarkupSafe==2.1.5
+matplotlib-inline==0.1.7
+mistune==3.0.2
+nbclient==0.10.0
+nbconvert==7.16.4
+nbformat==5.10.4
+nest-asyncio==1.6.0
+notebook_shim==0.2.4
+numpy==1.26.4
+overrides==7.7.0
+packaging==24.0
+pandas==2.2.2
+pandocfilters==1.5.1
+parso==0.8.4
+platformdirs==4.2.1
+prometheus_client==0.20.0
+prompt-toolkit==3.0.43
+psutil==5.9.8
+pure-eval==0.2.2
+pycparser==2.22
+Pygments==2.18.0
+python-dateutil==2.9.0.post0
+python-dotenv==1.0.1
+python-json-logger==2.0.7
+pytz==2024.1
+pywin32==306
+pywinpty==2.0.13
+PyYAML==6.0.1
+pyzmq==26.0.3
+referencing==0.35.1
+requests==2.31.0
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rpds-py==0.18.1
+Send2Trash==1.8.3
+six==1.16.0
+sniffio==1.3.1
+soupsieve==2.5
+stack-data==0.6.3
+terminado==0.18.1
+tinycss2==1.3.0
+tomli==2.0.1
+tornado==6.4
+traitlets==5.14.3
+types-python-dateutil==2.9.0.20240316
+typing_extensions==4.11.0
+tzdata==2024.1
+uri-template==1.3.0
+urllib3==2.2.1
+wcwidth==0.2.13
+webcolors==1.13
+webencodings==0.5.1
+websocket-client==1.8.0