A collection of scripts to...
- Convert text in a PDF into YNAB transactions
- Split a series of transactions between people
- Solve the constrained partitioning problem for investing
pyenv local 3.11.1
pipx install bany --python $(which python)
bany --helpCreate YNAB transactions from a PDF
- Run the extract command to parse a PDF and upload transactions to YNAB
bany extract pdf --inp /path/to/pdf --config config.yaml
bany extract pdf --inp /path/to/pdf --config config.yaml --upload- Some examples can be found in the
./cfgdirectory - Define rules to match patterns in the text of a PDF
- Define the transactions to create from these matches
# Regular Expressions defined for date like values
dates:
Force Date:
value: |-
2023-01-01
Check Date:
regex: |-
Check\s+Date\s+(?P<DATE>{MONTHS}\s+\d+,?\s+\d\d\d\d)
# Regular Expressions defined for money like values
amounts:
401K:
group: EARNINGS
inflow: true
regex: |-
401K\s+
(?P<HOURS>{NUMBER})\s+
(?P<MONEY>{AMOUNT})\s+
(?P<TOTAL>{AMOUNT})
Salary:
group: EARNINGS
inflow: true
regex: |-
REGULAR\s+
(?P<RATES>{NUMBER})\s+
(?P<HOURS>{NUMBER})\s+
(?P<MONEY>{AMOUNT})\s+
(?P<TOTAL>{AMOUNT})
TOTAL-EARNINGS:
group: EARNINGS
inflow: true
total: true
regex: |-
Gross\s+Earnings\s+
(?P<HOURS>{NUMBER})\s+
(?P<MONEY>{AMOUNT})\s+
(?P<TOTAL>{AMOUNT})
# Transactions to push to a YNAB budget (these may reference the matches defined above)
transactions:
- budget: 2023
account: 'Checking'
category: 'Internal Master Category: Inflow: Ready to Assign'
payee: Company
color: red
amount: Salary
date: Check Date
- budget: 2023
account: 'Company'
category: 'Investment: Fidelity'
payee: 'Transfer : Fidelity : Syapse'
memo: 2023
color: yellow
amount: 401K
date: Check Date
This is a script to help split transactions between multiple people.
This script opens an interactive loop.
bany splitYou can run a series of commands defined in a text file (see example in ./cfg directory.
split -a 12.79 -p Costco -C Food -d Dad=1 Adam=0 Doug=0 -c Adam=1
split -a 7.49 -p Costco -C Food -d Dad=1 Adam=0 Doug=0 -c Adam=1
summarize
bany > @ costco.txtbany > help
Documented commands (use 'help -v' for verbose/'help <topic>' for details):
My Category
===========
clear delete show split summarize tax tip
Uncategorized
=============
help history quit set shortcutsbany > split --amount 10.00 --payee GroceryStore --category Food --debit Alice=2/5 Bob=3/5 --credit Bob=1
group amount rate payee category debtors creditors Alice Bob Alice.w Bob.w Alice.$ Bob.$ Who Delta
0 0 $10.00 0 GroceryStore Food (Alice, Bob) (Bob) 400 600 0.4 0.6 $4.00 $6.00 - $0.00
bany > split --amount 15.75 --payee Restaurant --category Dinner --debit Alice=1/2 Bob=1/2 --credit Alice=1
group amount rate payee category debtors creditors Alice Bob Alice.w Bob.w Alice.$ Bob.$ Who Delta
0 0 $10.00 0 GroceryStore Food (Alice, Bob) (Bob) 400 600 0.4 0.6 $4.00 $6.00 - $0.00
1 1 $15.75 0 Restaurant Dinner (Alice, Bob) (Alice) 787 787 0.5 0.5 $7.87 $7.88 Alice -$0.01bany > tip --amount 5.00 --category Tips
group amount rate payee category debtors creditors Alice Bob Alice.w Bob.w Alice.$ Bob.$ Who Delta
0 0 $10.00 0.00000 GroceryStore Food (Alice, Bob) (Bob) 400 600 0.4 0.6 $4.00 $6.00 - $0.00
1 1 $15.75 0.00000 Restaurant Dinner (Alice, Bob) (Alice) 787 787 0.5 0.5 $7.87 $7.88 Alice -$0.01
2 1 $5.00 0.31746 Restaurant Tips (Alice, Bob) (Alice) 250 250 0.5 0.5 $2.50 $2.50 - $0.00bany > tax --rate 0.07 --payee SalesTax
group amount rate payee category debtors creditors Alice Bob Alice.w Bob.w Alice.$ Bob.$ Who Delta
0 0 $10.00 0.00000 GroceryStore Food (Alice, Bob) (Bob) 400 600 0.4 0.6 $4.00 $6.00 - $0.00
1 1 $15.75 0.00000 Restaurant Dinner (Alice, Bob) (Alice) 787 787 0.5 0.5 $7.87 $7.88 Alice -$0.01
2 1 $5.00 0.31746 Restaurant Tips (Alice, Bob) (Alice) 250 250 0.5 0.5 $2.50 $2.50 - $0.00
3 1 $1.10 0.07000 SalesTax Dinner (Alice, Bob) (Alice) 55 55 0.5 0.5 $0.55 $0.55 - $0.00bany > show
group amount rate payee category debtors creditors Alice Bob Alice.w Bob.w Alice.$ Bob.$ Who Delta
0 0 $10.00 0.00000 GroceryStore Food (Alice, Bob) (Bob) 400 600 0.4 0.6 $4.00 $6.00 - $0.00
1 1 $15.75 0.00000 Restaurant Dinner (Alice, Bob) (Alice) 787 787 0.5 0.5 $7.87 $7.88 Alice -$0.01
2 1 $5.00 0.31746 Restaurant Tips (Alice, Bob) (Alice) 250 250 0.5 0.5 $2.50 $2.50 - $0.00
3 1 $1.10 0.07000 SalesTax Dinner (Alice, Bob) (Alice) 55 55 0.5 0.5 $0.55 $0.55 - $0.00bany > summarize
amount category payee Alice.$ Bob.$
0 $10.00 Food GroceryStore $4.00 $6.00
1 $15.75 Dinner Restaurant $7.87 $7.88
2 $5.00 Tips Restaurant $2.50 $2.50
3 $1.10 Dinner SalesTax $0.55 $0.55This is a script to solve a math problem.
- I have a few investment funds and want them each to have a certain percent of my savings.
- I need to know which funds to put the money in to reach my desired allocation.
We have a histogram and want to morph it into a new shape
- Given a set of labeled buckets with known item counts...
- Given a new amount of items to place into the buckets...
- Given a desired distribution of items for the buckets...
How should we place the new items into the buckets?
# The problem will be solved in an unconstrained way by default
# Values can be added or removed from existing bins
bany solve unconstrained --config allocate.yaml
# The problem can be solved in a constrained way as well
# Values can only be added to bins
bany solve constrained --config allocate.yaml
# A Monte Carlo based solver also exists, which is non-deterministic
# Values can be added in fixed sizes
bany solve montecarlo --config allocate.yaml --stepsize 25TOTAL level=[0] current_value=[ 6,000.00] optimal_ratio=[1.000] amount_to_add=[ 8,000.00]
├─VIGAX level=[1] current_value=[ 1,000.00] optimal_ratio=[0.220] amount_to_add=[ 0.00]
├─VVIAX level=[1] current_value=[ 1,000.00] optimal_ratio=[0.280] amount_to_add=[ 0.00]
├─VMGMX level=[1] current_value=[ 1,000.00] optimal_ratio=[0.100] amount_to_add=[ 0.00]
├─VMVAX level=[1] current_value=[ 1,000.00] optimal_ratio=[0.150] amount_to_add=[ 0.00]
├─VSGAX level=[1] current_value=[ 1,000.00] optimal_ratio=[0.100] amount_to_add=[ 0.00]
└─VSIAX level=[1] current_value=[ 1,000.00] optimal_ratio=[0.150] amount_to_add=[ 0.00]TOTAL level=[0] results_value=[14,000.00] results_ratio=[1.000] amount_to_add=[ 0.00]
├─VIGAX level=[1] results_value=[ 3,080.00] results_ratio=[0.220] amount_to_add=[ 2,080.00]
├─VVIAX level=[1] results_value=[ 3,920.00] results_ratio=[0.280] amount_to_add=[ 2,920.00]
├─VMGMX level=[1] results_value=[ 1,400.00] results_ratio=[0.100] amount_to_add=[ 400.00]
├─VMVAX level=[1] results_value=[ 2,100.00] results_ratio=[0.150] amount_to_add=[ 1,100.00]
├─VSGAX level=[1] results_value=[ 1,400.00] results_ratio=[0.100] amount_to_add=[ 400.00]
└─VSIAX level=[1] results_value=[ 2,100.00] results_ratio=[0.150] amount_to_add=[ 1,100.00]The input is a hierarchy of bins with current values and desired ratios.
The input can be given as a YAML file.
- { label: 'TOTAL', optimal_ratio: 100, current_value: 6000, amount_to_add: 8000, children: [
'VIGAX', 'VVIAX', 'VMGMX', 'VMVAX', 'VSGAX', 'VSIAX'] }
- { label: 'VIGAX', optimal_ratio: 22, current_value: 1000, amount_to_add: 0, children: [] }
- { label: 'VVIAX', optimal_ratio: 28, current_value: 1000, amount_to_add: 0, children: [] }
- { label: 'VMGMX', optimal_ratio: 10, current_value: 1000, amount_to_add: 0, children: [] }
- { label: 'VMVAX', optimal_ratio: 15, current_value: 1000, amount_to_add: 0, children: [] }
- { label: 'VSGAX', optimal_ratio: 10, current_value: 1000, amount_to_add: 0, children: [] }
- { label: 'VSIAX', optimal_ratio: 15, current_value: 1000, amount_to_add: 0, children: [] }You can use regular expressions when specifying the children of a category.
- { label: 'TOTAL', optimal_ratio: 100, current_value: 6000, amount_to_add: 8000, children: ['regex::.*'] }
...The input can be given as a CSV file.
label optimal_ratio current_value amount_to_add children
0 TOTAL 100.0 6000.0 8000.0 VIGAX;VVIAX;VMGMX;VMVAX;VSGAX;VSIAX
1 VIGAX 22.0 1000.0 0.0
2 VVIAX 28.0 1000.0 0.0
3 VMGMX 10.0 1000.0 0.0
4 VMVAX 15.0 1000.0 0.0
5 VSGAX 10.0 1000.0 0.0
6 VSIAX 15.0 1000.0 0.0
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