https://github.com/andrewscwei/rbc-statement-parser

Handy Python script to parse RBC Visa statements
https://github.com/andrewscwei/rbc-statement-parser

parser rbc statement

Last synced: 16 days ago
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Handy Python script to parse RBC Visa statements

• Host: GitHub
• URL: https://github.com/andrewscwei/rbc-statement-parser
• Owner: andrewscwei
• License: mit
• Created: 2018-07-09T23:23:30.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2024-10-17T17:11:16.000Z (about 1 year ago)
• Last Synced: 2024-10-20T01:41:40.909Z (about 1 year ago)
• Topics: parser, rbc, statement
• Language: Python
• Size: 123 KB
• Stars: 5
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# RBC Statement Parser

Python script for parsing RBC PDF statements, compatible with both VISA and personal banking accounts (i.e. chequing, savings, etc). The output is a list of formatted transactions printed on console or output to a file.

## Setup

Set up environment:

```sh

$ pre-commit install

$ pipenv install -d

$ pipenv shell

```

## Usage

Download PDF statements from RBC and save them in a directory.

```sh

# Parse PDF(s) and output to console

$ python main.py 

# Parse PDF(s) and output to console and out.txt

$ python main.py  -o out.txt

```

## Linting

```sh

$ pylint **/*.py

```

## Config

Create a `.rc` file in project root. You can also provide another file name and pass it to `--config` or `-c` option flag when executing `main.py`. See below example to understand what this config does:

```js

{

  // String format of each transaction in the output, the following is the

  // default.

  "format": "{date}\t{method}\t{code}\t{description}\t{category}\t{amount}",

  // Each key is a category name to be assigned to a parsed transaction, and

  // each array element is a regex pattern where if the transaction description

  // matches any of the patterns, the category association will be made.

  "categories": {

    "": [

      "",

      "",

      "",

      ...

    ],

    "": [

      "",

      "",

      "",

      ...

    ],

    ...

  },

  // Each array element is a regex pattern where if the transaction description

  // matches any of the patterns, it will be excluded from the output.

  "excludes": [

    "",

    "",

    "",

    ...

  ]

}

```