Conda Instructions

README.md

@@ -26,9 +26,31 @@ For a more detailed account of each column in the dataset see the data dictionar
 
 ## Running the Application (Windows)
 
-### Docker Image
+### Anaconda
 
-The latest version of the Random Telecom Payments app can be found as a docker image on dockerhub here:
+Create a local conda environment for the Random Telecom Payments app using [anaconda](https://www.anaconda.com/):
+
+```
+conda create --name RandomTelecomPayments python=3.12 --yes
+conda activate RandomTelecomPayments
+pip install -r requirements.txt
+```
+
+Execute the Random Telecom Payments app to generate data for 2000 users using the following command and the local conda environment:
+
+```
+python generator\\main.py --n_users 1000 --use_random_seed 1 --n_itr 2
+```
+
+View the generated Random Telecom Payments data using the following command:
+
+```
+type data\\RandomTelecomPayments.csv | more
+```
+
+### Docker
+
+The latest version of the Random Telecom Payments app can be found as a [docker](https://www.docker.com/) image on dockerhub here:
 
 * https://hub.docker.com/repository/docker/oislen/randomtelecompayments/general
 

conda/RandomTelecomPayments.cmd

@@ -5,7 +5,7 @@ call conda env list
 call conda deactivate
 call conda env remove --name RandomTelecomPayments --yes
 call conda env list
-call conda create --name RandomTelecomPayments python=3 --yes
+call conda create --name RandomTelecomPayments python=3.12 --yes
 call conda activate RandomTelecomPayments
 call conda list
 

exeDocker.cmd

@@ -15,7 +15,7 @@ call docker build --no-cache -t %DOCKER_IMAGE% .
 SET UBUNTU_DIR=/home/ubuntu
 call docker run --name %DOCKER_CONTAINER_NAME% --memory 7GB --volume E:\GitHub\RandomTelecomPayments\data:/home/ubuntu/RandomTelecomPayments/data --rm %DOCKER_IMAGE%  --n_users 100 --use_random_seed 1 --n_itr 1
 :: call docker run --name %DOCKER_CONTAINER_NAME%w --memory 7GB --volume E:\GitHub\RandomTelecomPayments\data:/home/ubuntu/RandomTelecomPayments/data --rm %DOCKER_IMAGE%  --n_users 13000 --use_random_seed 1 --n_itr 2
-:: call docker run -it --entrypoint sh --name %DOCKER_CONTAINER_NAME% --memory 7GB --volume E:\GitHub\RandomTelecomPayments\data:/home/ubuntu/RandomTelecomPayments/data --rm %DOCKER_IMAGE%
+:: call docker run -it --entrypoint bash --name %DOCKER_CONTAINER_NAME% --memory 7GB --volume E:\GitHub\RandomTelecomPayments\data:/home/ubuntu/RandomTelecomPayments/data --rm %DOCKER_IMAGE%
 
 :: useful docker commands
 :: docker images

generator/cons.py

@@ -1,9 +1,10 @@
 import os
-import platform
+import re
 import sys
 import datetime
 
-fpath_repo_dir = 'E:\\GitHub\\RandomTelecomPayments' if platform.system() == 'Windows' else "/home/runner/work/RandomTelecomPayments/RandomTelecomPayments" if "GITHUB_ACTIONS_UNITTEST_FLAG" in os.environ else '/home/ubuntu/RandomTelecomPayments'
+root_dir_re_match = re.findall(string=os.getcwd(), pattern="^.+RandomTelecomPayments")
+fpath_repo_dir = root_dir_re_match[0] if len(root_dir_re_match) > 0 else os.path.join(".", "RandomTelecomPayments")
 sys.path.append(fpath_repo_dir)
 # set sub directories
 subdir_data = os.path.join(fpath_repo_dir, 'data')

requirements.txt

@@ -9,4 +9,5 @@ scikit-learn==1.6.1
 pyarrow==18.1.0
 fastparquet==2024.11.0
 beartype==0.19.0
-unidecode==1.3.8
+unidecode==1.3.8
+boto3==1.36.12