Using IBM Cloud Services to analyze company's financial performance based on CXO personality and company's reputation. Programmers: Gilang Ramadhan Ilhami, Nicholas Dwiarto Wirasbawa.

• Getting all the basic information data consisting of company name, CXO, annual report link, and president director's message page on the annual report.
• Getting all the financial data from the company annual report. Transform it into a CSV.
• 3 programs were needed: ORM, Inference, and Scraper.
• Utilizing the scraper to get all the basic information data.
• Using the ORM to put the gathered data into IBM DB2 on Cloud.
• Utilizing the scraper again to scrape president director messages and storing them in IBM COS.
• Using the ORM to get all the paths/data from the IBM DB2 on Cloud.
• Using Inference to gain an insight about the personality of each President Directors.
• The Inference program also pulls (if data is a path) and parses the data from IBM COS.
• Utilizing the Inference again to get an insight about corporate's reputation.
• Merge all of resulting CSV's into one CSV.
• Data analysis!

• Use Python 3.6+ to run this script.

• Download or clone the repository.

• Create a virtual environment with Python.

• Helper link to install virtual environment for Windows: https://programwithus.com/learn-to-code/Pip-and-virtualenv-on-Windows/.

• Helper link to install virtual environment for MacOS: https://sourabhbajaj.com/mac-setup/Python/virtualenv.html.

• Activate the virtual environment by running the commands (in the Command Prompt) on Mac/Linux: source venv/bin/activate. On Windows: C:\path\to\venv\Scripts\activate.bat. Replace venv with the appropriate virtual environment name.

• Install the required dependencies listed in requirements.txt by running pip install -r requirements.txt. For conveniency, the virtual environment should be created in the same directory level as the repository. Suggested virtual environment name is .venv.

• Make sure that the Initial Setup is done.

• Download phantomjs. Link is here: https://phantomjs.org/download.html.

• Open (in file explorer) venv/lib/site-packages/selenium/webdriver/common/service.py and change the cmd path (in def start function, line 70) to your phantomjs.exe file. It should be located in C:\Windows\phantomjs.exe so Windows knows exactly what the program was doing. Set the cmd from [self.path] to be = [path-to-phantomjs].

• For Mac/Linux, simply run sudo nano /etc/paths/ and edit the path from there.

• Run the test by using python insight.py. Make sure that you are in the inference folder by cd inference in the command line.

• Make sure the code in def main() is uncommented for DiscoveryProcessor() or the personality_insight_processor() function!

Scraper does not have anything to do with IBM Cloud Services, but if anybody wants to try the scraper, please follow the following procedures:

• Use cd path-to-repo-folder.

• Use cd scraper.

• Run for Mac/Linux: export PYTHONPATH=/path/to/orm:$PYTHONPATH. For Windows: Change the system variable to include the path to orm folder. Replace /path/to/orm to the full path of the orm folder. Helper link could be found here: https://www.computerhope.com/issues/ch000549.htm.

• An alternative: Copy the orm.py file into the same directory that you run your script (whether scraper or inference/insight).

• In main_scraper.py, change the index value of list of company names as required (line 87-89).

• Run the command python main_scraper.py --path_to_excel path/to/excel_file inside the scraper folder. Replace path/to/excel_file with the actual path to the excel file.

• Download chromedriver.

• Open venv/lib/site-packages/selenium/webdriver/common/service.py and change the cmd path (in def start function, line 70) to your chromedriver.exe file. It should be located in C:\Windows\chromedriver.exe so Windows knows exactly what the program was doing. Set the cmd to be = [path-to-chromedriver].

• For Mac/Linux, simply run sudo nano /etc/paths/ and edit the path from there.

• Run the test by using python insight.py. Make sure that you are in the inference folder.

• Make sure the code in def main() is uncommented for personality_insight_processor function!

An issue was encountered with using Python's Google Translate API for translation. In order to overcome this, a file named translate_selenium.py was created to handle translation.

However, there are some limitations:

• Some setups are required to be able to run the script. Please refer to https://github.com/huseinzol05/Malaya/tree/master/translator
• The setup provided is only available for Linux and MacOs device. A recommended work-around for Microsoft user is to use the linux sub-system provided by the operating system.