1st draft with ChatGPT.

.gitignore

@@ -1,3 +1,7 @@
+# data
+*.pdf
+*.csv
+
 # ---> JupyterNotebooks
 # gitignore template for Jupyter Notebooks
 # website: http://jupyter.org/

README.md

@@ -1,2 +1,41 @@
-# personal-finance-database
+# Personal Finance Database
 
+This project aims to manage personal finance data using a Google Sheets based database. It provides tools to import data from PDF statements, perform basic personal financial analysis, and visualize the data.
+
+## Features
+
+- **Data Ingestion:** Import data from Google Sheets and PDF statements.
+- **Data Processing:** Clean and preprocess the data for further analysis.
+- **Data Analysis:** Conduct basic personal financial analysis.
+- **Data Visualization:** Create simple and understandable visualizations of financial data.
+
+## Installation
+
+Clone this repository to your local machine.
+
+```bash
+git clone https://github.com/your-github-username/personal-finance-database.git
+```
+Navigate to the project directory.
+
+```bash
+cd personal-finance-database
+```
+Install the necessary packages.
+
+```bash
+pip install -r requirements.txt
+```
+## Usage
+[Provide instructions on how to use the project. This should include code examples and explanations of the different components.]
+
+## Contributing
+Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
+
+## License
+[Choose an open source license and mention it here.]
+
+## Contact
+[Your Name] - [Your Email] - [Your LinkedIn/GitHub/Twitter etc.]
+
+Remember to replace the placeholders with your actual details. You should also include a more detailed explanation in the "Usage" section once you have more functionality built out.

src/data_ingestion/pdf_parser.py

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+from pdfminer.high_level import extract_text
+import tabula
+
+class PdfParser:
+    def __init__(self, file_path):
+        self.file_path = file_path
+
+    def extract_text(self):
+        text = extract_text(self.file_path)
+        return text
+
+    def extract_table(self):
+        tables = tabula.read_pdf(self.file_path, pages='all')
+        return tables

tests/test_data_ingestion.py

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+import pytest
+from pdf_parser import PdfParser
+
+def test_pdf_parser_text_extraction():
+    pdf_parser = PdfParser('path_to_test_pdf')
+    text = pdf_parser.extract_text()
+
+    assert isinstance(text, str)
+    assert len(text) > 0
+
+def test_pdf_parser_table_extraction():
+    pdf_parser = PdfParser('path_to_test_pdf')
+    tables = pdf_parser.extract_table()
+
+    assert isinstance(tables, list)
+    assert all(isinstance(table, pd.DataFrame) for table in tables)