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.env
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SECRET_ID =
SECRET_KEY =
DEFAULT_DB =

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[flake8]
max-line-length = 88
extend-ignore = E203

65
.gitignore vendored
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# Created by https://www.toptal.com/developers/gitignore/api/python
# Edit at https://www.toptal.com/developers/gitignore?templates=python
# Created by https://www.toptal.com/developers/gitignore/api/python,database
# Edit at https://www.toptal.com/developers/gitignore?templates=python,database
### Database ###
*.accdb
*.db
*.dbf
*.mdb
*.pdb
*.sqlite3
### Python ###
# Byte-compiled / optimized / DLL files
@ -24,6 +32,7 @@ parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
@ -53,7 +62,7 @@ coverage.xml
*.py,cover
.hypothesis/
.pytest_cache/
cover/
pytestdebug.log
# Translations
*.mo
@ -74,9 +83,9 @@ instance/
# Sphinx documentation
docs/_build/
doc/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
@ -87,9 +96,7 @@ profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
.python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
@ -98,22 +105,7 @@ ipython_config.py
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/
# Celery stuff
@ -131,6 +123,7 @@ venv/
ENV/
env.bak/
venv.bak/
pythonenv*
# Spyder project settings
.spyderproject
@ -153,27 +146,11 @@ dmypy.json
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
### Python Patch ###
# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
poetry.toml
# ruff
.ruff_cache/
# LSP config files
pyrightconfig.json
# profiling data
.prof
# End of https://www.toptal.com/developers/gitignore/api/python
# Project specific ignores
database.db
### Default user directories
export/
.pfbudget

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.pre-commit-config.yaml Normal file
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repos:
- repo: https://gitlab.com/pycqa/flake8
rev: 3.9.2
hooks:
- id: flake8
additional_dependencies: [ flake8-type-checking ]

674
COPYING
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to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
<program> Copyright (C) <year> <name of author>
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
<https://www.gnu.org/licenses/>.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
<https://www.gnu.org/licenses/why-not-lgpl.html>.

7
LICENSE Normal file
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@ -0,0 +1,7 @@
Copyright (c) 2021 Luís Murta
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice (including the next paragraph) shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

134
README.md
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@ -1,115 +1,37 @@
# Personal Finance Budget (`pfbudget`)
# Personal Finance Budget (pfbudget)
A budgeting tool for those who want full control and transparency over their finances.
parse -> categorize -> analyze (predict) -> present
## Features
## Parse
Parses bank extracts, based on parsers.yaml, to a SQLite database.
- **Bank Data Ingestion:**
- Download transactions directly from banks via a PSD2 aggregator (using the GoCardless API).
- Or, parse CSV bank extracts using configurable YAML-based parsers (parsers.yaml).
- **Database Storage:**
- All transactions and categorization rules are stored in a PostgreSQL database.
- **Rules-Based Categorization:**
- Automatically categorize transactions using rules stored in the database.
- Interactive mode for manual categorization of remaining transactions.
## Categorize
Categorizes transactions based on categories.yaml configuration.
> **Note:** Graphical reporting is currently broken. For now, you can run SQL queries directly on the database for custom reports.
### Reserved categories and groups
There is 1 special category and 2 reserved groups.
## Quick Start
The `Null` category represent transactions performed between banks/credit cards, that would otherwise appear in the reports and graph. This way, these transactions, while real, are shadowed from the information presented. The net effect of these transaction, if performed in the same month would be moot anyway, since they cancel each other, but could introduce visual pollution when separated for a few days, especial when spawning through different months. The `Null` category then present a placeholder category for these transactions, as well as a way to preserve them out of side.
ToDo: As a side bonus, whenever these don't cancel eachother, a warning could be shown.
### 1. Install dependencies
The 2 reserved groups are `income` and `investment`.
The `income` is used for all income categories. These are the ones that will have a net effect on the overall balance of the individual, and are normally expected to be shown against expenses.
The `investment` group is separated from the remaining expenses, has these might not only present in absolute terms much higher values than other categories, but will also be subject to a different treatment when market predictions are incorporated.
This project uses [Poetry](https://python-poetry.org/):
## Analyze (ToDo)
Analyzes previous transaction and predicts future expenses.
```sh
poetry install
```
## Present
Create graphs and reports
1. Monthly spending from everyday purchases
2. Networth with big expenses tagged in (ToDo)
3. Future trajectory with predictable costs included (ToDo)
### 2. Configure
- **Database:**
Set up a PostgreSQL database and configure your connection through a `.env` file.
- **GoCardless credentials:**
Create an account with GoCardless (previously Nordigen) and save them on the `.env` file.
- **Bank Parsers:**
For CSV parsing, edit `parsers.yaml` to match your banks CSV format.
If the CSV is more complex than the basic rules can handle, you can enable `additional_parser: true` and implement a parser class in `pfbudget/extract/parsers.py`. The `Bank1` is an example implementation.
### 3. Run
You can run the app as a module:
```sh
poetry run python3 -m pfbudget [options]
```
#### Example workflows
- **Download from bank aggregator:**
First step is to accept an End User Agreement with the bank in question to get access to your own data:
```sh
poetry run python3 -m pfbudget eua your_bank
```
```sh
poetry run python3 -m pfbudget download --banks your_bank
```
- **Parse CSV:**
```sh
poetry run python3 -m pfbudget parse --bank your_bank export.csv
```
- **Automatic categorization:**
```sh
poetry run python3 -m pfbudget categorize auto
```
- **Interactive categorization:**
```sh
poetry run python3 -m pfbudget categorize manual
```
## Available Commands
The CLI supports a variety of operations. Here are the main commands:
- **export**: Export transactions to a specified file and format.
- **import**: Import transactions from a specified file and format.
- **parse**: Parse transactions from CSV files (with optional bank and credit card arguments).
- **categorize**
- `auto`: Automatically categorize transactions using rules.
- `manual`: Manually categorize uncategorized transactions.
- **bank**
- `add`, `del`, `mod`: Manage bank definitions.
- `psd2`: Manage PSD2 bank connections.
- `export`, `import`: Export/import bank definitions.
- **token**: Manage PSD2 access tokens.
- **eua**: Manage PSD2 requisition IDs.
- **download**: Download transactions from banks via PSD2 API.
- **banks**: List available banks in a country.
- **category**
- `add`, `remove`, `update`, `schedule`: Manage categories.
- `rule`: Manage categorization rules (add, remove, modify, export, import).
- `group`: Manage category groups (add, remove, export, import).
- `export`, `import`: Export/import categories.
- **tag**
- `add`, `remove`: Manage tags.
- `rule`: Manage tag rules (add, remove, modify, export, import).
- **link**
- `forge`, `dismantle`: Link or unlink transactions.
Each command may have additional options and subcommands. For details, run:
```sh
poetry run python3 -m pfbudget --help
```
or for a specific command:
```sh
poetry run python3 -m pfbudget <command> --help
```
---
**License:** GPL-3.0-or-later
**Author:** Luís Murta <luis@murta.dev>
## ToDo
- [ ] Support regular transactions from fixed group in categories
- [ ] Add one table for user inputed transactions and other for fixes
- [ ] Predicting future expenses
- [ ] Finish writing the README.md
- [ ] Implement undo/redo feature in sqlite3 database
- [ ] Allow for the possibility to create a new parser during runtime by guessing from transaction list/user input
- [ ] Allow for transaction to be passed as argument to main.py

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@ -1,105 +0,0 @@
# A generic, single database configuration.
[alembic]
# path to migration scripts
script_location = alembic
# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
# Uncomment the line below if you want the files to be prepended with date and time
# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
# for all available tokens
# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
# sys.path path, will be prepended to sys.path if present.
# defaults to the current working directory.
prepend_sys_path = .
# timezone to use when rendering the date within the migration file
# as well as the filename.
# If specified, requires the python-dateutil library that can be
# installed by adding `alembic[tz]` to the pip requirements
# string value is passed to dateutil.tz.gettz()
# leave blank for localtime
timezone = UTC
# max length of characters to apply to the
# "slug" field
# truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; This defaults
# to alembic/versions. When using multiple version
# directories, initial revisions must be specified with --version-path.
# The path separator used here should be the separator specified by "version_path_separator" below.
# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions
# version path separator; As mentioned above, this is the character used to split
# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
# Valid values for version_path_separator are:
#
# version_path_separator = :
# version_path_separator = ;
# version_path_separator = space
version_path_separator = os # Use os.pathsep. Default configuration used for new projects.
# the output encoding used when revision files
# are written from script.py.mako
# output_encoding = utf-8
sqlalchemy.url = postgresql://pf-budget:muster-neutron-omega@database.home.arpa/pf-budget
[post_write_hooks]
# post_write_hooks defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner, against the "black" entrypoint
hooks = black
black.type = console_scripts
black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# Logging configuration
[loggers]
keys = root,sqlalchemy,alembic
[handlers]
keys = console
[formatters]
keys = generic
[logger_root]
level = WARN
handlers = console
qualname =
[logger_sqlalchemy]
level = WARN
handlers =
qualname = sqlalchemy.engine
[logger_alembic]
level = INFO
handlers =
qualname = alembic
[handler_console]
class = StreamHandler
args = (sys.stderr,)
level = NOTSET
formatter = generic
[formatter_generic]
format = %(levelname)-5.5s [%(name)s] %(message)s
datefmt = %H:%M:%S

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@ -1 +0,0 @@
Generic single-database configuration.

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@ -1,88 +0,0 @@
from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config
# Interpret the config file for Python logging.
# This line sets up loggers basically.
if config.config_file_name is not None:
fileConfig(config.config_file_name)
# add your model's MetaData object here
# for 'autogenerate' support
from pfbudget.db.model import Base
target_metadata = Base.metadata
# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.
def include_name(name, type_, parent_names):
if type_ == "schema":
return name == "pfbudget"
else:
return True
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
url = config.get_main_option("sqlalchemy.url")
context.configure(
url=url,
target_metadata=target_metadata,
literal_binds=True,
dialect_opts={"paramstyle": "named"},
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine
and associate a connection with the context.
"""
connectable = engine_from_config(
config.get_section(config.config_ini_section),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection:
context.configure(
connection=connection,
target_metadata=target_metadata,
include_name=include_name,
include_schemas=True,
compare_type=True,
)
with context.begin_transaction():
context.run_migrations()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()

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@ -1,24 +0,0 @@
"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from alembic import op
import sqlalchemy as sa
${imports if imports else ""}
# revision identifiers, used by Alembic.
revision = ${repr(up_revision)}
down_revision = ${repr(down_revision)}
branch_labels = ${repr(branch_labels)}
depends_on = ${repr(depends_on)}
def upgrade() -> None:
${upgrades if upgrades else "pass"}
def downgrade() -> None:
${downgrades if downgrades else "pass"}

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@ -1,32 +0,0 @@
"""Regex rule
Revision ID: 0ce89e987770
Revises: 7adf89ec8d14
Create Date: 2022-12-10 14:00:49.418494+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "0ce89e987770"
down_revision = "7adf89ec8d14"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"categories_rules",
sa.Column("regex", sa.String(), nullable=True),
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column("categories_rules", "regex", schema="transactions")
# ### end Alembic commands ###

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@ -1,40 +0,0 @@
"""Split member of base transaction
Revision ID: 18572111d9ff
Revises: 28556ab17c56
Create Date: 2023-01-23 20:09:37.892997+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "18572111d9ff"
down_revision = "28556ab17c56"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"transactions",
"split",
existing_type=sa.BOOLEAN(),
nullable=False,
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"transactions",
"split",
existing_type=sa.BOOLEAN(),
nullable=True,
schema="transactions",
)
# ### end Alembic commands ###

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@ -1,88 +0,0 @@
"""Selector back to transaction
Revision ID: 28556ab17c56
Revises: e455c78df789
Create Date: 2023-01-23 00:34:39.062562+00:00
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "28556ab17c56"
down_revision = "e455c78df789"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.rename_table("tags", "tagged", schema="transactions")
op.create_table(
"selector",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column(
"selector",
sa.Enum(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="transactions",
inherit_schema=True,
),
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.categorized.id"],
name=op.f("fk_selector_id_categorized"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_selector")),
schema="transactions",
)
op.drop_table("selector", schema="category")
op.rename_table("originals", "transactions", schema="transactions")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.rename_table("transactions", "originals", schema="transactions")
op.create_table(
"selector",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column(
"selector",
postgresql.ENUM(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="category",
),
autoincrement=False,
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.categorized.id"],
name="fk_selector_id_categorized",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_selector"),
schema="category",
)
op.drop_table("selector", schema="transactions")
op.rename_table("tagged", "tags", schema="transactions")
# ### end Alembic commands ###

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@ -1,109 +0,0 @@
"""Add relationships
Revision ID: 287fe9e6682a
Revises: d3534f493239
Create Date: 2022-12-03 16:43:39.633382+00:00
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "287fe9e6682a"
down_revision = "d3534f493239"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
"fk_categorized_id_originals",
"categorized",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
op.f("fk_categorized_id_originals"),
"categorized",
"originals",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
op.drop_constraint(
"fk_notes_id_originals", "notes", schema="transactions", type_="foreignkey"
)
op.create_foreign_key(
op.f("fk_notes_id_originals"),
"notes",
"originals",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
op.drop_constraint(
"fk_tags_id_originals", "tags", schema="transactions", type_="foreignkey"
)
op.create_foreign_key(
op.f("fk_tags_id_originals"),
"tags",
"originals",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
op.f("fk_tags_id_originals"), "tags", schema="transactions", type_="foreignkey"
)
op.create_foreign_key(
"fk_tags_id_originals",
"tags",
"originals",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
)
op.drop_constraint(
op.f("fk_notes_id_originals"),
"notes",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
"fk_notes_id_originals",
"notes",
"originals",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
)
op.drop_constraint(
op.f("fk_categorized_id_originals"),
"categorized",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
"fk_categorized_id_originals",
"categorized",
"originals",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
)
# ### end Alembic commands ###

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@ -1,49 +0,0 @@
"""Available categories and rules
Revision ID: 2d0891f1be11
Revises: 287fe9e6682a
Create Date: 2022-12-04 11:15:22.758487+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "2d0891f1be11"
down_revision = "287fe9e6682a"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"categories_available",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_categories_available")),
schema="transactions",
)
op.create_table(
"categories_rules",
sa.Column("name", sa.String(), nullable=False),
sa.Column("rule", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["name"],
["transactions.categories_available.name"],
name=op.f("fk_categories_rules_name_categories_available"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("name", "rule", name=op.f("pk_categories_rules")),
schema="transactions",
)
op.alter_column("categorized", "category", new_column_name="name", schema="transactions")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column("categorized", "name", new_column_name="category", schema="transactions")
op.drop_table("categories_rules", schema="transactions")
op.drop_table("categories_available", schema="transactions")
# ### end Alembic commands ###

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@ -1,35 +0,0 @@
"""nordigen tokens
Revision ID: 325b901ac712
Revises: 60469d5dd2b0
Create Date: 2023-05-25 19:10:10.374008+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "325b901ac712"
down_revision = "60469d5dd2b0"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"nordigen",
sa.Column("type", sa.String(), nullable=False),
sa.Column("token", sa.String(), nullable=False),
sa.Column("expires", sa.DateTime(), nullable=False),
sa.PrimaryKeyConstraint("type", name=op.f("pk_nordigen")),
schema="pfbudget",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("nordigen", schema="pfbudget")
# ### end Alembic commands ###

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@ -1,74 +0,0 @@
"""Inheritance
Revision ID: 37d80de801a7
Revises: 8cc9870b0d74
Create Date: 2023-01-10 22:41:03.540108+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "37d80de801a7"
down_revision = "8cc9870b0d74"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"originals",
sa.Column("type", sa.String(), nullable=False),
schema="transactions",
)
op.add_column(
"originals",
sa.Column("split", sa.Boolean(), nullable=True),
schema="transactions",
)
op.add_column(
"originals",
sa.Column("original", sa.BigInteger(), nullable=True),
schema="transactions",
)
op.alter_column(
"originals",
"bank",
existing_type=sa.TEXT(),
nullable=True,
schema="transactions",
)
op.create_foreign_key(
op.f("fk_originals_original_originals"),
"originals",
"originals",
["original"],
["id"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
op.f("fk_originals_original_originals"),
"originals",
schema="transactions",
type_="foreignkey",
)
op.alter_column(
"originals",
"bank",
existing_type=sa.TEXT(),
nullable=False,
schema="transactions",
)
op.drop_column("originals", "original", schema="transactions")
op.drop_column("originals", "split", schema="transactions")
op.drop_column("originals", "type", schema="transactions")
# ### end Alembic commands ###

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@ -1,111 +0,0 @@
"""Init
Revision ID: 50ff1fbb8a00
Revises:
Create Date: 2022-12-03 11:49:30.450115+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "50ff1fbb8a00"
down_revision = None
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"banks",
sa.Column("name", sa.String(), nullable=False),
sa.Column("BIC", sa.String(length=8), nullable=False),
sa.Column(
"type",
sa.Enum(
"checking",
"savings",
"investment",
"VISA",
"MASTERCARD",
name="accounttype",
schema="transactions",
inherit_schema=True,
),
nullable=False,
),
sa.PrimaryKeyConstraint("BIC", "type", name=op.f("pk_banks")),
sa.UniqueConstraint("name", name=op.f("uq_banks_name")),
schema="transactions",
)
op.create_table(
"nordigen",
sa.Column("name", sa.Text(), nullable=False),
sa.Column("bank_id", sa.String(), nullable=True),
sa.Column("requisition_id", sa.String(), nullable=True),
sa.Column("invert", sa.Boolean(), nullable=True),
sa.ForeignKeyConstraint(
["name"], ["transactions.banks.name"], name=op.f("fk_nordigen_name_banks")
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_nordigen")),
schema="transactions",
)
op.create_table(
"originals",
sa.Column("id", sa.BigInteger(), autoincrement=True, nullable=False),
sa.Column("date", sa.Date(), nullable=False),
sa.Column("description", sa.String(), nullable=True),
sa.Column("bank", sa.Text(), nullable=False),
sa.Column("amount", sa.Numeric(precision=16, scale=2), nullable=False),
sa.ForeignKeyConstraint(
["bank"], ["transactions.banks.name"], name=op.f("fk_originals_bank_banks")
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_originals")),
schema="transactions",
)
op.create_table(
"categorized",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("category", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.originals.id"],
name=op.f("fk_categorized_id_originals"),
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_categorized")),
schema="transactions",
)
op.create_table(
"notes",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("note", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"], ["transactions.originals.id"], name=op.f("fk_notes_id_originals")
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_notes")),
schema="transactions",
)
op.create_table(
"tags",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("tag", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"], ["transactions.originals.id"], name=op.f("fk_tags_id_originals")
),
sa.PrimaryKeyConstraint("id", "tag", name=op.f("pk_tags")),
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("tags", schema="transactions")
op.drop_table("notes", schema="transactions")
op.drop_table("categorized", schema="transactions")
op.drop_table("originals", schema="transactions")
op.drop_table("nordigen", schema="transactions")
op.drop_table("banks", schema="transactions")
# ### end Alembic commands ###

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@ -1,48 +0,0 @@
"""Drop SQLAlchemy enum
Revision ID: 60469d5dd2b0
Revises: b599dafcf468
Create Date: 2023-05-15 19:24:07.911352+00:00
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "60469d5dd2b0"
down_revision = "b599dafcf468"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.execute(
"""
CREATE TYPE pfbudget.scheduleperiod
AS ENUM ('daily', 'weekly', 'monthly', 'yearly')
"""
)
op.execute(
"""ALTER TABLE pfbudget.category_schedules
ALTER COLUMN period TYPE pfbudget.scheduleperiod
USING period::text::pfbudget.scheduleperiod
"""
)
op.execute("DROP TYPE pfbudget.period")
def downgrade() -> None:
op.execute(
"""
CREATE TYPE pfbudget.period
AS ENUM ('daily', 'weekly', 'monthly', 'yearly')
"""
)
op.execute(
"""ALTER TABLE pfbudget.category_schedules
ALTER COLUMN period TYPE pfbudget.period
USING period::text::pfbudget.period
"""
)
op.execute("DROP TYPE pfbudget.scheduleperiod")

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@ -1,54 +0,0 @@
"""Category selector
Revision ID: 6863dda76ea2
Revises: 83f4c9837f6e
Create Date: 2022-12-08 00:56:59.032641+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "6863dda76ea2"
down_revision = "83f4c9837f6e"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"categories_selector",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column(
"selector",
sa.Enum(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector",
schema="transactions",
inherit_schema=True,
),
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.categorized.id"],
name=op.f("fk_categories_selector_id_categorized"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_categories_selector")),
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("categories_selector", schema="transactions")
# ### end Alembic commands ###

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@ -1,152 +0,0 @@
"""Rule inheritance
Revision ID: 6b293f78cc97
Revises: 37d80de801a7
Create Date: 2023-01-22 20:05:32.887092+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "6b293f78cc97"
down_revision = "37d80de801a7"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"rules",
sa.Column("id", sa.BigInteger(), autoincrement=True, nullable=False),
sa.Column("date", sa.Date(), nullable=True),
sa.Column("description", sa.String(), nullable=True),
sa.Column("regex", sa.String(), nullable=True),
sa.Column("bank", sa.String(), nullable=True),
sa.Column("min", sa.Numeric(precision=16, scale=2), nullable=True),
sa.Column("max", sa.Numeric(precision=16, scale=2), nullable=True),
sa.Column("type", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("id", name=op.f("pk_rules")),
schema="transactions",
)
op.create_foreign_key(
op.f("fk_categories_rules_id_rules"),
"categories_rules",
"rules",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
op.drop_column("categories_rules", "bank", schema="transactions")
op.drop_column("categories_rules", "min", schema="transactions")
op.drop_column("categories_rules", "date", schema="transactions")
op.drop_column("categories_rules", "regex", schema="transactions")
op.drop_column("categories_rules", "description", schema="transactions")
op.drop_column("categories_rules", "max", schema="transactions")
op.create_foreign_key(
op.f("fk_tag_rules_id_rules"),
"tag_rules",
"rules",
["id"],
["id"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
op.drop_column("tag_rules", "bank", schema="transactions")
op.drop_column("tag_rules", "min", schema="transactions")
op.drop_column("tag_rules", "date", schema="transactions")
op.drop_column("tag_rules", "regex", schema="transactions")
op.drop_column("tag_rules", "description", schema="transactions")
op.drop_column("tag_rules", "max", schema="transactions")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"tag_rules",
sa.Column(
"max", sa.NUMERIC(precision=16, scale=2), autoincrement=False, nullable=True
),
schema="transactions",
)
op.add_column(
"tag_rules",
sa.Column("description", sa.VARCHAR(), autoincrement=False, nullable=True),
schema="transactions",
)
op.add_column(
"tag_rules",
sa.Column("regex", sa.VARCHAR(), autoincrement=False, nullable=True),
schema="transactions",
)
op.add_column(
"tag_rules",
sa.Column("date", sa.DATE(), autoincrement=False, nullable=True),
schema="transactions",
)
op.add_column(
"tag_rules",
sa.Column(
"min", sa.NUMERIC(precision=16, scale=2), autoincrement=False, nullable=True
),
schema="transactions",
)
op.add_column(
"tag_rules",
sa.Column("bank", sa.VARCHAR(), autoincrement=False, nullable=True),
schema="transactions",
)
op.drop_constraint(
op.f("fk_tag_rules_id_rules"),
"tag_rules",
schema="transactions",
type_="foreignkey",
)
op.add_column(
"categories_rules",
sa.Column(
"max", sa.NUMERIC(precision=16, scale=2), autoincrement=False, nullable=True
),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("description", sa.VARCHAR(), autoincrement=False, nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("regex", sa.VARCHAR(), autoincrement=False, nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("date", sa.DATE(), autoincrement=False, nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column(
"min", sa.NUMERIC(precision=16, scale=2), autoincrement=False, nullable=True
),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("bank", sa.VARCHAR(), autoincrement=False, nullable=True),
schema="transactions",
)
op.drop_constraint(
op.f("fk_categories_rules_id_rules"),
"categories_rules",
schema="transactions",
type_="foreignkey",
)
op.drop_table("rules", schema="transactions")
# ### end Alembic commands ###

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@ -1,49 +0,0 @@
"""Rule min/max
Revision ID: 753c0bfb2062
Revises: e36e6321568e
Create Date: 2022-12-18 00:24:03.861461+00:00
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "753c0bfb2062"
down_revision = "e36e6321568e"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"categories_rules",
"min_amount",
new_column_name="min",
schema="transactions",
)
op.alter_column(
"categories_rules",
"max_amount",
new_column_name="max",
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"categories_rules",
"min",
new_column_name="min_amount",
schema="transactions",
)
op.alter_column(
"categories_rules",
"max",
new_column_name="max_amount",
schema="transactions",
)
# ### end Alembic commands ###

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@ -1,43 +0,0 @@
"""Category rule date format
Revision ID: 7adf89ec8d14
Revises: 83603bb7ef9c
Create Date: 2022-12-10 00:08:47.535765+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "7adf89ec8d14"
down_revision = "83603bb7ef9c"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"categories_rules",
"date",
existing_type=sa.VARCHAR(),
type_=sa.Date(),
existing_nullable=True,
schema="transactions",
postgresql_using="date::date"
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"categories_rules",
"date",
existing_type=sa.Date(),
type_=sa.VARCHAR(),
existing_nullable=True,
schema="transactions",
)
# ### end Alembic commands ###

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@ -1,38 +0,0 @@
"""Amount of transaction per period
Revision ID: 83603bb7ef9c
Revises: 8b5d5fbc8211
Create Date: 2022-12-09 23:12:15.644758+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "83603bb7ef9c"
down_revision = "8b5d5fbc8211"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"categories_schedules",
sa.Column("amount", sa.Integer(), nullable=True),
schema="transactions",
)
op.drop_column("categories_schedules", "recurring", schema="transactions")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"categories_schedules",
sa.Column("recurring", sa.BOOLEAN(), autoincrement=False, nullable=False),
schema="transactions",
)
op.drop_column("categories_schedules", "amount", schema="transactions")
# ### end Alembic commands ###

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@ -1,69 +0,0 @@
"""Category groups and relationships
Revision ID: 83f4c9837f6e
Revises: 2d0891f1be11
Create Date: 2022-12-04 15:10:51.924875+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "83f4c9837f6e"
down_revision = "2d0891f1be11"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"categories_groups",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_categories_groups")),
schema="transactions",
)
op.add_column(
"categories_available",
sa.Column("group", sa.String(), nullable=True),
schema="transactions",
)
op.create_foreign_key(
op.f("fk_categories_available_group_categories_groups"),
"categories_available",
"categories_groups",
["group"],
["name"],
source_schema="transactions",
referent_schema="transactions",
)
op.create_foreign_key(
op.f("fk_categorized_name_categories_available"),
"categorized",
"categories_available",
["name"],
["name"],
source_schema="transactions",
referent_schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
op.f("fk_categorized_name_categories_available"),
"categorized",
schema="transactions",
type_="foreignkey",
)
op.drop_constraint(
op.f("fk_categories_available_group_categories_groups"),
"categories_available",
schema="transactions",
type_="foreignkey",
)
op.drop_column("categories_available", "group", schema="transactions")
op.drop_table("categories_groups", schema="transactions")
# ### end Alembic commands ###

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@ -1,74 +0,0 @@
"""Compact category selector
Revision ID: 8623e709e111
Revises: ce68ee15e5d2
Create Date: 2023-05-08 19:00:51.063240+00:00
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "8623e709e111"
down_revision = "ce68ee15e5d2"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("category_selectors", schema="pfbudget")
op.add_column(
"transactions_categorized",
sa.Column(
"selector",
sa.Enum(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="pfbudget",
inherit_schema=True,
),
nullable=False,
),
schema="pfbudget",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_column("transactions_categorized", "selector", schema="pfbudget")
op.create_table(
"category_selectors",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column(
"selector",
postgresql.ENUM(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="pfbudget",
),
autoincrement=False,
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.transactions_categorized.id"],
name="fk_category_selectors_id_transactions_categorized",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_category_selectors"),
schema="pfbudget",
)
# ### end Alembic commands ###

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@ -1,92 +0,0 @@
"""Transaction based rules
Revision ID: 8b5d5fbc8211
Revises: e77395969585
Create Date: 2022-12-08 21:05:41.378466+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "8b5d5fbc8211"
down_revision = "e77395969585"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.drop_constraint("pk_categories_rules", "categories_rules", schema="transactions")
op.execute(sa.schema.CreateSequence(sa.schema.Sequence("categories_rules_id_seq", schema="transactions")))
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"categories_rules",
sa.Column(
"id",
sa.BigInteger(),
autoincrement=True,
nullable=False,
server_default=sa.text(
"nextval('transactions.categories_rules_id_seq'::regclass)"
),
),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("date", sa.String(), nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("description", sa.String(), nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("bank", sa.String(), nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("min_amount", sa.Float(), nullable=True),
schema="transactions",
)
op.add_column(
"categories_rules",
sa.Column("max_amount", sa.Float(), nullable=True),
schema="transactions",
)
op.drop_column("categories_rules", "rule", schema="transactions")
# ### end Alembic commands ###
op.create_primary_key(
"pk_categories_rules",
"categories_rules",
["id"],
schema="transactions",
)
def downgrade() -> None:
op.drop_constraint("pk_categories_rules", "categories_rules", schema="transactions")
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"categories_rules",
sa.Column("rule", sa.String(), autoincrement=False, nullable=False),
schema="transactions",
)
op.drop_column("categories_rules", "max_amount", schema="transactions")
op.drop_column("categories_rules", "min_amount", schema="transactions")
op.drop_column("categories_rules", "bank", schema="transactions")
op.drop_column("categories_rules", "description", schema="transactions")
op.drop_column("categories_rules", "date", schema="transactions")
op.drop_column("categories_rules", "id", schema="transactions")
# ### end Alembic commands ###
op.execute(sa.schema.DropSequence(sa.schema.Sequence("categories_rules_id_seq", schema="transactions")))
op.create_primary_key(
"pk_categories_rules",
"categories_rules",
["name", "rule"],
schema="transactions",
)

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@ -1,46 +0,0 @@
"""Links
Revision ID: 8cc9870b0d74
Revises: a910e1b2214d
Create Date: 2022-12-19 22:10:25.136479+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "8cc9870b0d74"
down_revision = "a910e1b2214d"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"links",
sa.Column("original", sa.BigInteger(), nullable=False),
sa.Column("link", sa.BigInteger(), nullable=False),
sa.ForeignKeyConstraint(
["link"],
["transactions.originals.id"],
name=op.f("fk_links_link_originals"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["original"],
["transactions.originals.id"],
name=op.f("fk_links_original_originals"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("original", "link", name=op.f("pk_links")),
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("links", schema="transactions")
# ### end Alembic commands ###

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@ -1,68 +0,0 @@
"""Tag rules
Revision ID: 9028b0f3b985
Revises: 753c0bfb2062
Create Date: 2022-12-18 22:53:13.334046+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "9028b0f3b985"
down_revision = "753c0bfb2062"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"tags_available",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_tags_available")),
schema="transactions",
)
op.create_table(
"tag_rules",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("tag", sa.String(), nullable=False),
sa.Column("date", sa.Date(), nullable=True),
sa.Column("description", sa.String(), nullable=True),
sa.Column("regex", sa.String(), nullable=True),
sa.Column("bank", sa.String(), nullable=True),
sa.Column("min", sa.Numeric(precision=16, scale=2), nullable=True),
sa.Column("max", sa.Numeric(precision=16, scale=2), nullable=True),
sa.ForeignKeyConstraint(
["tag"],
["transactions.tags_available.name"],
name=op.f("fk_tag_rules_tag_tags_available"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_tag_rules")),
schema="transactions",
)
op.create_foreign_key(
op.f("fk_tags_tag_tags_available"),
"tags",
"tags_available",
["tag"],
["name"],
source_schema="transactions",
referent_schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
op.f("fk_tags_tag_tags_available"),
"tags",
schema="transactions",
type_="foreignkey",
)
op.drop_table("tag_rules", schema="transactions")
op.drop_table("tags_available", schema="transactions")
# ### end Alembic commands ###

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@ -1,32 +0,0 @@
"""Start/End date rule
Revision ID: 952de57a3c43
Revises: 18572111d9ff
Create Date: 2023-02-06 21:57:57.545327+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "952de57a3c43"
down_revision = "18572111d9ff"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column(
"rules", sa.Column("start", sa.Date(), nullable=True), schema="transactions"
)
op.alter_column("rules", column_name="date", new_column_name="end", schema="transactions")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column("rules", column_name="end", new_column_name="date", schema="transactions")
op.drop_column("rules", "start", schema="transactions")
# ### end Alembic commands ###

View File

@ -1,56 +0,0 @@
"""Rule inheritance
Revision ID: a910e1b2214d
Revises: 9028b0f3b985
Create Date: 2022-12-19 20:48:04.682812+00:00
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "a910e1b2214d"
down_revision = "9028b0f3b985"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
"fk_categorized_name_categories_available",
"categorized",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
op.f("fk_categorized_name_categories_available"),
"categorized",
"categories_available",
["name"],
["name"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
op.f("fk_categorized_name_categories_available"),
"categorized",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
"fk_categorized_name_categories_available",
"categorized",
"categories_available",
["name"],
["name"],
source_schema="transactions",
referent_schema="transactions",
)
# ### end Alembic commands ###

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@ -1,46 +0,0 @@
"""Selector type name change
Revision ID: b599dafcf468
Revises: 8623e709e111
Create Date: 2023-05-08 19:46:20.661214+00:00
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "b599dafcf468"
down_revision = "8623e709e111"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.execute(
"""
CREATE TYPE pfbudget.categoryselector
AS ENUM ('unknown', 'nullifier', 'vacations', 'rules', 'algorithm', 'manual')
"""
)
op.execute(
"""ALTER TABLE pfbudget.transactions_categorized
ALTER COLUMN selector TYPE pfbudget.categoryselector
USING selector::text::pfbudget.categoryselector
"""
)
op.execute("DROP TYPE pfbudget.selector_t")
def downgrade() -> None:
op.execute(
"""
CREATE TYPE pfbudget.selector_t
AS ENUM ('unknown', 'nullifier', 'vacations', 'rules', 'algorithm', 'manual')
"""
)
op.execute(
"""ALTER TABLE pfbudget.transactions_categorized
ALTER COLUMN selector TYPE pfbudget.selector_t
USING selector::text::pfbudget.selector_t
"""
)
op.execute("DROP TYPE pfbudget.categoryselector")

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@ -1,95 +0,0 @@
"""Change bank constraints
Revision ID: ce68ee15e5d2
Revises: d7f0401c1fd3
Create Date: 2023-04-29 15:53:24.753628+00:00
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "ce68ee15e5d2"
down_revision = "d7f0401c1fd3"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.drop_constraint(
"fk_transactions_bank_banks",
"transactions",
type_="foreignkey",
schema="pfbudget",
)
op.drop_constraint(
"fk_banks_nordigen_name_banks",
"banks_nordigen",
type_="foreignkey",
schema="pfbudget",
)
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint("uq_banks_name", "banks", schema="pfbudget", type_="unique")
# ### end Alembic commands ###
op.execute("ALTER TABLE pfbudget.banks DROP CONSTRAINT pk_banks")
op.create_primary_key("pk_banks", "banks", ["name"], schema="pfbudget")
op.create_foreign_key(
"fk_transactions_bank_banks",
"transactions",
"banks",
["bank"],
["name"],
source_schema="pfbudget",
referent_schema="pfbudget",
)
op.create_foreign_key(
"fk_banks_nordigen_name_banks",
"banks_nordigen",
"banks",
["name"],
["name"],
source_schema="pfbudget",
referent_schema="pfbudget",
)
def downgrade() -> None:
op.drop_constraint(
"fk_transactions_bank_banks",
"transactions",
type_="foreignkey",
schema="pfbudget",
)
op.drop_constraint(
"fk_banks_nordigen_name_banks",
"banks_nordigen",
type_="foreignkey",
schema="pfbudget",
)
op.execute("ALTER TABLE pfbudget.banks DROP CONSTRAINT pk_banks")
op.create_primary_key("pk_banks", "banks", ["BIC", "type"], schema="pfbudget")
# ### commands auto generated by Alembic - please adjust! ###
op.create_unique_constraint("uq_banks_name", "banks", ["name"], schema="pfbudget")
# ### end Alembic commands ###
op.create_foreign_key(
"fk_transactions_bank_banks",
"transactions",
"banks",
["bank"],
["name"],
source_schema="pfbudget",
referent_schema="pfbudget",
)
op.create_foreign_key(
"fk_banks_nordigen_name_banks",
"banks_nordigen",
"banks",
["name"],
["name"],
source_schema="pfbudget",
referent_schema="pfbudget",
)

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@ -1,53 +0,0 @@
"""Category schedule
Revision ID: d18cbd50f7c6
Revises: 6863dda76ea2
Create Date: 2022-12-08 13:30:29.048811+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "d18cbd50f7c6"
down_revision = "6863dda76ea2"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"categories_schedules",
sa.Column("name", sa.String(), nullable=False),
sa.Column("recurring", sa.Boolean(), nullable=False),
sa.Column(
"period",
sa.Enum(
"daily",
"monthly",
"yearly",
name="period",
schema="transactions",
inherit_schema=True,
),
nullable=True,
),
sa.Column("period_multiplier", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(
["name"],
["transactions.categories_available.name"],
name=op.f("fk_categories_schedules_name_categories_available"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_categories_schedules")),
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_table("categories_schedules", schema="transactions")
# ### end Alembic commands ###

View File

@ -1,36 +0,0 @@
"""Add meal card
Revision ID: d3534f493239
Revises: 50ff1fbb8a00
Create Date: 2022-12-03 12:18:33.519666+00:00
"""
from alembic import op
# revision identifiers, used by Alembic.
revision = "d3534f493239"
down_revision = "50ff1fbb8a00"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.execute("ALTER TYPE transactions.accounttype ADD VALUE 'mealcard' BEFORE 'VISA'")
def downgrade() -> None:
op.execute(
"""CREATE TYPE transactions.accounttype_new
AS ENUM ('checking', 'savings', 'investment', 'VISA', 'MASTERCARD')
"""
)
op.execute("UPDATE transactions.banks SET type = DEFAULT WHERE type = 'mealcard'")
op.execute(
"""ALTER TABLE transactions.banks
ALTER COLUMN type TYPE transactions.accounttype_new
USING type::text::transactions.accounttype_new
"""
)
op.execute("DROP TYPE transactions.accounttype")
op.execute("ALTER TYPE transactions.accounttype_new RENAME TO accounttype")

View File

@ -1,594 +0,0 @@
"""unified schemas
Revision ID: d7f0401c1fd3
Revises: 952de57a3c43
Create Date: 2023-04-27 16:30:08.514985+00:00
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "d7f0401c1fd3"
down_revision = "952de57a3c43"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"banks",
sa.Column("name", sa.String(), nullable=False),
sa.Column("BIC", sa.String(length=8), nullable=False),
sa.Column(
"type",
sa.Enum(
"checking",
"savings",
"investment",
"mealcard",
"VISA",
"MASTERCARD",
name="accounttype",
schema="pfbudget",
inherit_schema=True,
),
nullable=False,
),
sa.PrimaryKeyConstraint("BIC", "type", name=op.f("pk_banks")),
sa.UniqueConstraint("name", name=op.f("uq_banks_name")),
schema="pfbudget",
)
op.create_table(
"category_groups",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_category_groups")),
schema="pfbudget",
)
op.create_table(
"rules",
sa.Column(
"id", sa.BigInteger().with_variant(sa.Integer(), "sqlite"), nullable=False
),
sa.Column("start", sa.Date(), nullable=True),
sa.Column("end", sa.Date(), nullable=True),
sa.Column("description", sa.String(), nullable=True),
sa.Column("regex", sa.String(), nullable=True),
sa.Column("bank", sa.String(), nullable=True),
sa.Column("min", sa.Numeric(precision=16, scale=2), nullable=True),
sa.Column("max", sa.Numeric(precision=16, scale=2), nullable=True),
sa.Column("type", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("id", name=op.f("pk_rules")),
schema="pfbudget",
)
op.create_table(
"tags",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_tags")),
schema="pfbudget",
)
op.create_table(
"banks_nordigen",
sa.Column("name", sa.Text(), nullable=False),
sa.Column("bank_id", sa.String(), nullable=True),
sa.Column("requisition_id", sa.String(), nullable=True),
sa.Column("invert", sa.Boolean(), nullable=True),
sa.ForeignKeyConstraint(
["name"], ["pfbudget.banks.name"], name=op.f("fk_banks_nordigen_name_banks")
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_banks_nordigen")),
schema="pfbudget",
)
op.create_table(
"categories",
sa.Column("name", sa.String(), nullable=False),
sa.Column("group", sa.String(), nullable=True),
sa.ForeignKeyConstraint(
["group"],
["pfbudget.category_groups.name"],
name=op.f("fk_categories_group_category_groups"),
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_categories")),
schema="pfbudget",
)
op.create_table(
"tag_rules",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("tag", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.rules.id"],
name=op.f("fk_tag_rules_id_rules"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["tag"],
["pfbudget.tags.name"],
name=op.f("fk_tag_rules_tag_tags"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_tag_rules")),
schema="pfbudget",
)
op.create_table(
"transactions",
sa.Column(
"id", sa.BigInteger().with_variant(sa.Integer(), "sqlite"), nullable=False
),
sa.Column("date", sa.Date(), nullable=False),
sa.Column("description", sa.String(), nullable=True),
sa.Column("amount", sa.Numeric(precision=16, scale=2), nullable=False),
sa.Column("split", sa.Boolean(), nullable=False),
sa.Column("type", sa.String(), nullable=False),
sa.Column("bank", sa.Text(), nullable=True),
sa.Column("original", sa.BigInteger(), nullable=True),
sa.ForeignKeyConstraint(
["bank"], ["pfbudget.banks.name"], name=op.f("fk_transactions_bank_banks")
),
sa.ForeignKeyConstraint(
["original"],
["pfbudget.transactions.id"],
name=op.f("fk_transactions_original_transactions"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_transactions")),
schema="pfbudget",
)
op.create_table(
"category_rules",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("name", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.rules.id"],
name=op.f("fk_category_rules_id_rules"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["name"],
["pfbudget.categories.name"],
name=op.f("fk_category_rules_name_categories"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_category_rules")),
schema="pfbudget",
)
op.create_table(
"category_schedules",
sa.Column("name", sa.String(), nullable=False),
sa.Column(
"period",
sa.Enum(
"daily",
"weekly",
"monthly",
"yearly",
name="period",
schema="pfbudget",
inherit_schema=True,
),
nullable=True,
),
sa.Column("period_multiplier", sa.Integer(), nullable=True),
sa.Column("amount", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(
["name"],
["pfbudget.categories.name"],
name=op.f("fk_category_schedules_name_categories"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_category_schedules")),
schema="pfbudget",
)
op.create_table(
"links",
sa.Column("original", sa.BigInteger(), nullable=False),
sa.Column("link", sa.BigInteger(), nullable=False),
sa.ForeignKeyConstraint(
["link"],
["pfbudget.transactions.id"],
name=op.f("fk_links_link_transactions"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["original"],
["pfbudget.transactions.id"],
name=op.f("fk_links_original_transactions"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("original", "link", name=op.f("pk_links")),
schema="pfbudget",
)
op.create_table(
"notes",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("note", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.transactions.id"],
name=op.f("fk_notes_id_transactions"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_notes")),
schema="pfbudget",
)
op.create_table(
"transactions_categorized",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("name", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.transactions.id"],
name=op.f("fk_transactions_categorized_id_transactions"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["name"],
["pfbudget.categories.name"],
name=op.f("fk_transactions_categorized_name_categories"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_transactions_categorized")),
schema="pfbudget",
)
op.create_table(
"transactions_tagged",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("tag", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.transactions.id"],
name=op.f("fk_transactions_tagged_id_transactions"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["tag"],
["pfbudget.tags.name"],
name=op.f("fk_transactions_tagged_tag_tags"),
),
sa.PrimaryKeyConstraint("id", "tag", name=op.f("pk_transactions_tagged")),
schema="pfbudget",
)
op.create_table(
"category_selectors",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column(
"selector",
sa.Enum(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="pfbudget",
inherit_schema=True,
),
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["pfbudget.transactions_categorized.id"],
name=op.f("fk_category_selectors_id_transactions_categorized"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_category_selectors")),
schema="pfbudget",
)
op.drop_table("notes", schema="transactions")
op.drop_table("rules", schema="tag")
op.drop_table("tagged", schema="transactions")
op.drop_table("available", schema="tag")
op.drop_table("nordigen", schema="bank")
op.drop_table("links", schema="transactions")
op.drop_table("selector", schema="transactions")
op.drop_table("categorized", schema="transactions")
op.drop_table("transactions", schema="transactions")
op.drop_table("banks", schema="bank")
op.drop_table("rules", schema="category")
op.drop_table("schedules", schema="category")
op.drop_table("rules", schema="transactions")
op.drop_table("available", schema="category")
op.drop_table("groups", schema="category")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"transactions",
sa.Column(
"id",
sa.BIGINT(),
server_default=sa.text(
"nextval('transactions.originals_id_seq'::regclass)"
),
autoincrement=True,
nullable=False,
),
sa.Column("date", sa.DATE(), autoincrement=False, nullable=False),
sa.Column("description", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("bank", sa.TEXT(), autoincrement=False, nullable=True),
sa.Column(
"amount",
sa.NUMERIC(precision=16, scale=2),
autoincrement=False,
nullable=False,
),
sa.Column("type", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column("split", sa.BOOLEAN(), autoincrement=False, nullable=False),
sa.Column("original", sa.BIGINT(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["bank"], ["bank.banks.name"], name="fk_originals_bank_banks"
),
sa.ForeignKeyConstraint(
["original"],
["transactions.transactions.id"],
name="fk_originals_original_originals",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_originals"),
schema="transactions",
postgresql_ignore_search_path=False,
)
op.create_table(
"nordigen",
sa.Column("name", sa.TEXT(), autoincrement=False, nullable=False),
sa.Column("bank_id", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("requisition_id", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("invert", sa.BOOLEAN(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["name"], ["bank.banks.name"], name="fk_nordigen_name_banks"
),
sa.PrimaryKeyConstraint("name", name="pk_nordigen"),
schema="bank",
)
op.create_table(
"tagged",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column("tag", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.transactions.id"],
name="fk_tags_id_originals",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["tag"], ["tag.available.name"], name="fk_tags_tag_available"
),
sa.PrimaryKeyConstraint("id", "tag", name="pk_tags"),
schema="transactions",
)
op.create_table(
"available",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column("group", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["group"], ["category.groups.name"], name="fk_available_group_groups"
),
sa.PrimaryKeyConstraint("name", name="pk_available"),
schema="category",
postgresql_ignore_search_path=False,
)
op.create_table(
"rules",
sa.Column(
"id",
sa.BIGINT(),
server_default=sa.text("nextval('transactions.rules_id_seq'::regclass)"),
autoincrement=True,
nullable=False,
),
sa.Column("end", sa.DATE(), autoincrement=False, nullable=True),
sa.Column("description", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("regex", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("bank", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column(
"min", sa.NUMERIC(precision=16, scale=2), autoincrement=False, nullable=True
),
sa.Column(
"max", sa.NUMERIC(precision=16, scale=2), autoincrement=False, nullable=True
),
sa.Column("type", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column("start", sa.DATE(), autoincrement=False, nullable=True),
sa.PrimaryKeyConstraint("id", name="pk_rules"),
schema="transactions",
postgresql_ignore_search_path=False,
)
op.create_table(
"groups",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint("name", name="pk_groups"),
schema="category",
postgresql_ignore_search_path=False,
)
op.create_table(
"rules",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column("tag", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.rules.id"],
name="fk_rules_id_rules",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["tag"],
["tag.available.name"],
name="fk_rules_tag_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_rules"),
schema="tag",
)
op.create_table(
"schedules",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column(
"period",
postgresql.ENUM(
"daily", "weekly", "monthly", "yearly", name="period", schema="category"
),
autoincrement=False,
nullable=True,
),
sa.Column(
"period_multiplier", sa.INTEGER(), autoincrement=False, nullable=True
),
sa.Column("amount", sa.INTEGER(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["name"],
["category.available.name"],
name="fk_schedules_name_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("name", name="pk_schedules"),
schema="category",
)
op.create_table(
"rules",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.rules.id"],
name="fk_rules_id_rules",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["name"],
["category.available.name"],
name="fk_rules_name_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_rules"),
schema="category",
)
op.create_table(
"links",
sa.Column("original", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column("link", sa.BIGINT(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["link"],
["transactions.transactions.id"],
name="fk_links_link_originals",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["original"],
["transactions.transactions.id"],
name="fk_links_original_originals",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("original", "link", name="pk_links"),
schema="transactions",
)
op.create_table(
"selector",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column(
"selector",
postgresql.ENUM(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="transactions",
),
autoincrement=False,
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.categorized.id"],
name="fk_selector_id_categorized",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_selector"),
schema="transactions",
)
op.create_table(
"banks",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column("BIC", sa.VARCHAR(length=8), autoincrement=False, nullable=False),
sa.Column(
"type",
postgresql.ENUM(
"checking",
"savings",
"investment",
"mealcard",
"VISA",
"MASTERCARD",
name="accounttype",
schema="bank",
),
autoincrement=False,
nullable=False,
),
sa.PrimaryKeyConstraint("BIC", "type", name="pk_banks"),
sa.UniqueConstraint("name", name="uq_banks_name"),
schema="bank",
postgresql_ignore_search_path=False,
)
op.create_table(
"available",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint("name", name="pk_available"),
schema="tag",
)
op.create_table(
"notes",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column("note", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.transactions.id"],
name="fk_notes_id_originals",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_notes"),
schema="transactions",
)
op.create_table(
"categorized",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.transactions.id"],
name="fk_categorized_id_originals",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["name"],
["category.available.name"],
name="fk_categorized_name_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_categorized"),
schema="transactions",
)
op.drop_table("category_selectors", schema="pfbudget")
op.drop_table("transactions_tagged", schema="pfbudget")
op.drop_table("transactions_categorized", schema="pfbudget")
op.drop_table("notes", schema="pfbudget")
op.drop_table("links", schema="pfbudget")
op.drop_table("category_schedules", schema="pfbudget")
op.drop_table("category_rules", schema="pfbudget")
op.drop_table("transactions", schema="pfbudget")
op.drop_table("tag_rules", schema="pfbudget")
op.drop_table("categories", schema="pfbudget")
op.drop_table("banks_nordigen", schema="pfbudget")
op.drop_table("tags", schema="pfbudget")
op.drop_table("rules", schema="pfbudget")
op.drop_table("category_groups", schema="pfbudget")
op.drop_table("banks", schema="pfbudget")
# ### end Alembic commands ###

View File

@ -1,58 +0,0 @@
"""Rules min/max money
Revision ID: e36e6321568e
Revises: 0ce89e987770
Create Date: 2022-12-10 18:55:07.149010+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "e36e6321568e"
down_revision = "0ce89e987770"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"categories_rules",
"min_amount",
existing_type=sa.DOUBLE_PRECISION(precision=53),
type_=sa.Numeric(precision=16, scale=2),
existing_nullable=True,
schema="transactions",
)
op.alter_column(
"categories_rules",
"max_amount",
existing_type=sa.DOUBLE_PRECISION(precision=53),
type_=sa.Numeric(precision=16, scale=2),
existing_nullable=True,
schema="transactions",
)
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.alter_column(
"categories_rules",
"max_amount",
existing_type=sa.Numeric(precision=16, scale=2),
type_=sa.DOUBLE_PRECISION(precision=53),
existing_nullable=True,
schema="transactions",
)
op.alter_column(
"categories_rules",
"min_amount",
existing_type=sa.Numeric(precision=16, scale=2),
type_=sa.DOUBLE_PRECISION(precision=53),
existing_nullable=True,
schema="transactions",
)
# ### end Alembic commands ###

View File

@ -1,452 +0,0 @@
"""Divide by schemas
Revision ID: e455c78df789
Revises: 6b293f78cc97
Create Date: 2023-01-22 23:38:23.266906+00:00
"""
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
# revision identifiers, used by Alembic.
revision = "e455c78df789"
down_revision = "6b293f78cc97"
branch_labels = None
depends_on = None
def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"banks",
sa.Column("name", sa.String(), nullable=False),
sa.Column("BIC", sa.String(length=8), nullable=False),
sa.Column(
"type",
sa.Enum(
"checking",
"savings",
"investment",
"mealcard",
"VISA",
"MASTERCARD",
name="accounttype",
schema="bank",
inherit_schema=True,
),
nullable=False,
),
sa.PrimaryKeyConstraint("BIC", "type", name=op.f("pk_banks")),
sa.UniqueConstraint("name", name=op.f("uq_banks_name")),
schema="bank",
)
op.create_table(
"groups",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_groups")),
schema="category",
)
op.create_table(
"available",
sa.Column("name", sa.String(), nullable=False),
sa.PrimaryKeyConstraint("name", name=op.f("pk_available")),
schema="tag",
)
op.create_table(
"nordigen",
sa.Column("name", sa.Text(), nullable=False),
sa.Column("bank_id", sa.String(), nullable=True),
sa.Column("requisition_id", sa.String(), nullable=True),
sa.Column("invert", sa.Boolean(), nullable=True),
sa.ForeignKeyConstraint(
["name"], ["bank.banks.name"], name=op.f("fk_nordigen_name_banks")
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_nordigen")),
schema="bank",
)
op.create_table(
"available",
sa.Column("name", sa.String(), nullable=False),
sa.Column("group", sa.String(), nullable=True),
sa.ForeignKeyConstraint(
["group"], ["category.groups.name"], name=op.f("fk_available_group_groups")
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_available")),
schema="category",
)
op.create_table(
"rules",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("tag", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.rules.id"],
name=op.f("fk_rules_id_rules"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["tag"],
["tag.available.name"],
name=op.f("fk_rules_tag_available"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_rules")),
schema="tag",
)
op.create_table(
"rules",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column("name", sa.String(), nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.rules.id"],
name=op.f("fk_rules_id_rules"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["name"],
["category.available.name"],
name=op.f("fk_rules_name_available"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_rules")),
schema="category",
)
op.create_table(
"schedules",
sa.Column("name", sa.String(), nullable=False),
sa.Column(
"period",
sa.Enum(
"daily",
"weekly",
"monthly",
"yearly",
name="period",
schema="category",
inherit_schema=True,
),
nullable=True,
),
sa.Column("period_multiplier", sa.Integer(), nullable=True),
sa.Column("amount", sa.Integer(), nullable=True),
sa.ForeignKeyConstraint(
["name"],
["category.available.name"],
name=op.f("fk_schedules_name_available"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("name", name=op.f("pk_schedules")),
schema="category",
)
op.create_table(
"selector",
sa.Column("id", sa.BigInteger(), nullable=False),
sa.Column(
"selector",
sa.Enum(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector_t",
schema="category",
inherit_schema=True,
),
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.categorized.id"],
name=op.f("fk_selector_id_categorized"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_selector")),
schema="category",
)
op.drop_constraint(
"fk_categorized_name_categories_available",
"categorized",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
op.f("fk_categorized_name_available"),
"categorized",
"available",
["name"],
["name"],
source_schema="transactions",
referent_schema="category",
ondelete="CASCADE",
)
op.drop_constraint(
"fk_originals_bank_banks",
"originals",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
op.f("fk_originals_bank_banks"),
"originals",
"banks",
["bank"],
["name"],
source_schema="transactions",
referent_schema="bank",
)
op.drop_constraint(
"fk_tags_tag_tags_available", "tags", schema="transactions", type_="foreignkey"
)
op.create_foreign_key(
op.f("fk_tags_tag_available"),
"tags",
"available",
["tag"],
["name"],
source_schema="transactions",
referent_schema="tag",
)
op.drop_table("categories_schedules", schema="transactions")
op.drop_table("categories_rules", schema="transactions")
op.drop_table("categories_available", schema="transactions")
op.drop_table("tag_rules", schema="transactions")
op.drop_table("nordigen", schema="transactions")
op.drop_table("tags_available", schema="transactions")
op.drop_table("banks", schema="transactions")
op.drop_table("categories_selector", schema="transactions")
op.drop_table("categories_groups", schema="transactions")
# ### end Alembic commands ###
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.drop_constraint(
op.f("fk_tags_tag_available"), "tags", schema="transactions", type_="foreignkey"
)
op.create_foreign_key(
"fk_tags_tag_tags_available",
"tags",
"tags_available",
["tag"],
["name"],
source_schema="transactions",
referent_schema="transactions",
)
op.drop_constraint(
op.f("fk_originals_bank_banks"),
"originals",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
"fk_originals_bank_banks",
"originals",
"banks",
["bank"],
["name"],
source_schema="transactions",
referent_schema="transactions",
)
op.drop_constraint(
op.f("fk_categorized_name_available"),
"categorized",
schema="transactions",
type_="foreignkey",
)
op.create_foreign_key(
"fk_categorized_name_categories_available",
"categorized",
"categories_available",
["name"],
["name"],
source_schema="transactions",
referent_schema="transactions",
ondelete="CASCADE",
)
op.create_table(
"categories_groups",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint("name", name="pk_categories_groups"),
schema="transactions",
postgresql_ignore_search_path=False,
)
op.create_table(
"categories_selector",
sa.Column("id", sa.BIGINT(), autoincrement=False, nullable=False),
sa.Column(
"selector",
postgresql.ENUM(
"unknown",
"nullifier",
"vacations",
"rules",
"algorithm",
"manual",
name="selector",
schema="transactions",
),
autoincrement=False,
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.categorized.id"],
name="fk_categories_selector_id_categorized",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_categories_selector"),
schema="transactions",
)
op.create_table(
"banks",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column("BIC", sa.VARCHAR(length=8), autoincrement=False, nullable=False),
sa.Column(
"type",
postgresql.ENUM(
"checking",
"savings",
"investment",
"mealcard",
"VISA",
"MASTERCARD",
name="accounttype",
schema="transactions",
),
autoincrement=False,
nullable=False,
),
sa.PrimaryKeyConstraint("BIC", "type", name="pk_banks"),
sa.UniqueConstraint("name", name="uq_banks_name"),
schema="transactions",
postgresql_ignore_search_path=False,
)
op.create_table(
"tags_available",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.PrimaryKeyConstraint("name", name="pk_tags_available"),
schema="transactions",
postgresql_ignore_search_path=False,
)
op.create_table(
"nordigen",
sa.Column("name", sa.TEXT(), autoincrement=False, nullable=False),
sa.Column("bank_id", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("requisition_id", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.Column("invert", sa.BOOLEAN(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["name"], ["transactions.banks.name"], name="fk_nordigen_name_banks"
),
sa.PrimaryKeyConstraint("name", name="pk_nordigen"),
schema="transactions",
)
op.create_table(
"tag_rules",
sa.Column(
"id",
sa.BIGINT(),
server_default=sa.text(
"nextval('transactions.tag_rules_id_seq'::regclass)"
),
autoincrement=True,
nullable=False,
),
sa.Column("tag", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.ForeignKeyConstraint(
["id"],
["transactions.rules.id"],
name="fk_tag_rules_id_rules",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["tag"],
["transactions.tags_available.name"],
name="fk_tag_rules_tag_tags_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_tag_rules"),
schema="transactions",
)
op.create_table(
"categories_rules",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column(
"id",
sa.BIGINT(),
server_default=sa.text(
"nextval('transactions.categories_rules_id_seq'::regclass)"
),
autoincrement=True,
nullable=False,
),
sa.ForeignKeyConstraint(
["id"],
["transactions.rules.id"],
name="fk_categories_rules_id_rules",
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["name"],
["transactions.categories_available.name"],
name="fk_categories_rules_name_categories_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name="pk_categories_rules"),
schema="transactions",
)
op.create_table(
"categories_available",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column("group", sa.VARCHAR(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["group"],
["transactions.categories_groups.name"],
name="fk_categories_available_group_categories_groups",
),
sa.PrimaryKeyConstraint("name", name="pk_categories_available"),
schema="transactions",
postgresql_ignore_search_path=False,
)
op.create_table(
"categories_schedules",
sa.Column("name", sa.VARCHAR(), autoincrement=False, nullable=False),
sa.Column(
"period",
postgresql.ENUM(
"daily",
"weekly",
"monthly",
"yearly",
name="period",
schema="transactions",
),
autoincrement=False,
nullable=True,
),
sa.Column(
"period_multiplier", sa.INTEGER(), autoincrement=False, nullable=True
),
sa.Column("amount", sa.INTEGER(), autoincrement=False, nullable=True),
sa.ForeignKeyConstraint(
["name"],
["transactions.categories_available.name"],
name="fk_categories_schedules_name_categories_available",
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("name", name="pk_categories_schedules"),
schema="transactions",
)
op.drop_table("selector", schema="category")
op.drop_table("schedules", schema="category")
op.drop_table("rules", schema="category")
op.drop_table("rules", schema="tag")
op.drop_table("available", schema="category")
op.drop_table("nordigen", schema="bank")
op.drop_table("available", schema="tag")
op.drop_table("groups", schema="category")
op.drop_table("banks", schema="bank")
# ### end Alembic commands ###

View File

@ -1,37 +0,0 @@
"""Weekly period
Revision ID: e77395969585
Revises: d18cbd50f7c6
Create Date: 2022-12-08 16:35:27.506504+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "e77395969585"
down_revision = "d18cbd50f7c6"
branch_labels = None
depends_on = None
def upgrade() -> None:
op.execute("ALTER TYPE transactions.period ADD VALUE 'weekly' AFTER 'daily'")
def downgrade() -> None:
op.execute(
"""CREATE TYPE transactions.period_new
AS ENUM ('daily', 'monthly', 'yearly')
"""
)
op.execute("UPDATE transactions.categories_schedules SET period = DEFAULT WHERE period = 'weekly'")
op.execute(
"""ALTER TABLE transactions.categories_schedules
ALTER COLUMN period TYPE transactions.period_new
USING period::text::transactions.period_new
"""
)
op.execute("DROP TYPE transactions.period")
op.execute("ALTER TYPE transactions.period_new RENAME TO period")

100
categories.yaml Normal file
View File

@ -0,0 +1,100 @@
Groups:
income-fixed:
color: limegreen
linestyle: dashed
income-extra:
color: limegreen
linestyle: dashed
income:
color: limegreen
linestyle: solid
fixed:
color: tab:blue
required:
color: tab:orange
health:
color: tab:red
travel:
color: tab:cyan
discretionary:
color: tab:brown
Income1:
group: income-fixed
regex:
- company A
Income2:
group: income-fixed
regex:
- transfer
banks:
- BankA
Income3:
group: income-extra
regex:
- company B
Commute:
group: required
regex:
- uber
regular:
- [train, 50]
Utilities:
group: fixed
regex:
- electricity
regular:
- [water]
- [internet, 30.5]
Groceries:
group: required
regex:
- lidl
- e.leclerc
- aldi
Eating Out:
group: discretionary
regex:
- restaurant 1
- restaurant 2
Entertainment:
group: discretionary
regex:
- cinema
- steam
Investment:
group: investment
Pets:
group: required
Medical:
group: health
regex:
- hospital
- pharmacy
Miscellaneous:
Travel:
group: travel
regex:
- ryanair
- easyjet
- airbnb
not_in_groups:
- income-fixed
- income-extra
- fixed
date_fmt: "%Y-%m-%d"
vacations:
- ["2019-12-23", "2020-01-02"]
- ["2020-07-01", "2020-07-30"]

4
main.py Normal file
View File

@ -0,0 +1,4 @@
from pfbudget import run
if __name__ == "__main__":
run()

View File

@ -1,2 +1,7 @@
__all__ = ["run", "parse_data", "categorize_data"]
__author__ = "Luís Murta"
__version__ = "0.1"
from pfbudget.core.categories import categorize_data
from pfbudget.core.input.parsers import parse_data
from pfbudget.cli.runnable import run

View File

@ -1,278 +1,4 @@
from pfbudget.cli.argparser import argparser
from pfbudget.cli.interactive import Interactive
from pfbudget.common.types import Operation
from pfbudget.core.manager import Manager
import pfbudget.db.model as type
from pfbudget.utils.utils import parse_args_period
from pfbudget.cli.runnable import run
if __name__ == "__main__":
argparser = argparser()
args = vars(argparser.parse_args())
assert "op" in args, "No Operation selected"
op: Operation = args.pop("op")
assert "database" in args, "No database selected"
db = args.pop("database")
assert "verbose" in args, "No verbose level specified"
verbosity = args.pop("verbose")
params = []
match (op):
case Operation.ManualCategorization:
Interactive(Manager(db, verbosity)).start()
exit()
case Operation.Categorize:
keys = {"no_nulls"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [args["no_nulls"]]
case Operation.Parse:
keys = {"path", "bank", "creditcard"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [args["path"], args["bank"], args["creditcard"]]
case Operation.RequisitionId:
keys = {"bank"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [args["bank"][0]]
case Operation.Download:
keys = {"all", "banks", "interval", "start", "end", "year", "dry_run"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
start, end = parse_args_period(args)
params = [start, end, args["dry_run"]]
if not args["all"]:
params.append(args["banks"])
else:
params.append(None)
case Operation.BankAdd:
keys = {"bank", "bic", "type"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [
type.Bank(
args["bank"][0],
args["bic"][0],
args["type"][0],
)
]
case Operation.BankMod:
keys = {"bank", "bic", "type", "remove"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
nargs_1 = ["bic", "type"]
param = {"name": args["bank"][0]}
param |= {k: v[0] for k, v in args.items() if k in nargs_1 and args[k]}
param |= {k: None for k in args["remove"] if k in nargs_1}
params = [param]
case Operation.BankDel:
assert len(args["bank"]) > 0, "argparser ill defined"
params = args["bank"]
case Operation.PSD2Add:
keys = {"bank", "bank_id", "requisition_id", "invert"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [
type.Nordigen(
args["bank"][0],
args["bank_id"][0] if args["bank_id"] else None,
args["requisition_id"][0] if args["requisition_id"] else None,
args["invert"] if args["invert"] else None,
)
]
case Operation.PSD2Mod:
keys = {"bank", "bank_id", "requisition_id", "invert", "remove"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
nargs_1 = ["bank_id", "requisition_id"]
nargs_0 = ["invert"]
param = {"name": args["bank"][0]}
param |= {k: v[0] for k, v in args.items() if k in nargs_1 and args[k]}
param |= {k: v for k, v in args.items() if k in nargs_0}
param |= {k: None for k in args["remove"] if k in nargs_1}
params = [param]
case Operation.PSD2Del:
assert len(args["bank"]) > 0, "argparser ill defined"
params = args["bank"]
case Operation.PSD2CountryBanks:
keys = {"country"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [args["country"][0]]
case Operation.CategoryAdd:
keys = {"category", "group"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [type.Category(cat, args["group"]) for cat in args["category"]]
case Operation.CategoryUpdate:
keys = {"category", "group"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [{"name": cat, "group": args["group"]} for cat in args["category"]]
case Operation.CategoryRemove:
assert "category" in args, "argparser ill defined"
params = args["category"]
case Operation.CategorySchedule:
keys = {"category", "period", "frequency"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [
type.CategorySchedule(
cat, args["period"][0], args["frequency"][0], None
)
for cat in args["category"]
]
case Operation.RuleAdd:
keys = {
"category",
"start",
"end",
"description",
"regex",
"bank",
"min",
"max",
}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = []
for cat in args["category"]:
rule = type.CategoryRule(
start=args["start"][0] if args["start"] else None,
end=args["end"][0] if args["end"] else None,
description=args["description"][0] if args["description"] else None,
regex=args["regex"][0] if args["regex"] else None,
bank=args["bank"][0] if args["bank"] else None,
min=args["min"][0] if args["min"] else None,
max=args["max"][0] if args["max"] else None,
)
# associate the rule to the category name (mapped col has init=False)
rule.name = cat
params.append(rule)
case Operation.RuleRemove | Operation.TagRuleRemove:
keys = {"id"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = args["id"]
case Operation.RuleModify:
keys = {
"id",
"category",
"date",
"description",
"bank",
"min",
"max",
"remove",
}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
nargs_1 = ["category", "date", "description", "regex", "bank", "min", "max"]
params = []
for id in args["id"]:
param = {"id": id}
param |= {k: v[0] for k, v in args.items() if k in nargs_1 and args[k]}
param |= {k: None for k in args["remove"] if k in nargs_1}
params.append(param)
case Operation.TagAdd:
keys = {"tag"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [type.Tag(tag) for tag in args["tag"]]
case Operation.TagRuleAdd:
keys = {"tag", "start", "end", "description", "regex", "bank", "min", "max"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = []
for tag in args["tag"]:
rule = type.TagRule(
start=args["start"][0] if args["start"] else None,
end=args["end"][0] if args["end"] else None,
description=args["description"][0] if args["description"] else None,
regex=args["regex"][0] if args["regex"] else None,
bank=args["bank"][0] if args["bank"] else None,
min=args["min"][0] if args["min"] else None,
max=args["max"][0] if args["max"] else None,
)
# associate the rule to the tag name (mapped col has init=False)
rule.tag = tag
params.append(rule)
case Operation.TagRuleModify:
keys = {"id", "tag", "date", "description", "bank", "min", "max", "remove"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
nargs_1 = ["tag", "date", "description", "regex", "bank", "min", "max"]
params = []
for id in args["id"]:
param = {"id": id}
param |= {k: v[0] for k, v in args.items() if k in nargs_1 and args[k]}
param |= {k: None for k in args["remove"] if k in nargs_1}
params.append(param)
case Operation.GroupAdd:
assert "group" in args, "argparser ill defined"
params = [type.CategoryGroup(group) for group in args["group"]]
case Operation.GroupRemove:
assert "group" in args, "argparser ill defined"
params = args["group"]
case Operation.Forge | Operation.Dismantle:
keys = {"original", "links"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [args["original"][0], args["links"]]
case (
Operation.Export
| Operation.Import
| Operation.ExportBanks
| Operation.ImportBanks
| Operation.ExportCategoryRules
| Operation.ImportCategoryRules
| Operation.ExportTagRules
| Operation.ImportTagRules
| Operation.ExportCategories
| Operation.ImportCategories
| Operation.ExportCategoryGroups
| Operation.ImportCategoryGroups
):
keys = {"file", "format"}
assert args.keys() >= keys, f"missing {args.keys() - keys}"
params = [args["file"][0], args["format"][0]]
Manager(db, verbosity).action(op, params)
run()

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@ -1,322 +0,0 @@
import argparse
import datetime as dt
import decimal
from dotenv import load_dotenv
import os
import re
from pfbudget.common.types import Operation
from pfbudget.db.model import AccountType, SchedulePeriod
load_dotenv()
DEFAULT_DB = os.environ.get("DEFAULT_DB")
def argparser() -> argparse.ArgumentParser:
universal = argparse.ArgumentParser(add_help=False)
universal.add_argument(
"-db",
"--database",
nargs="?",
help="select current database",
default=DEFAULT_DB,
)
universal.add_argument("-v", "--verbose", action="count", default=0)
period = argparse.ArgumentParser(add_help=False)
period_group = period.add_mutually_exclusive_group()
period_group.add_argument(
"--interval", type=str, nargs=2, help="graph interval", metavar=("START", "END")
)
period_group.add_argument("--start", type=str, nargs=1, help="graph start date")
period_group.add_argument("--end", type=str, nargs=1, help="graph end date")
period_group.add_argument("--year", type=str, nargs=1, help="graph year")
parser = argparse.ArgumentParser(
description="does cool finance stuff",
parents=[universal],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
if version := re.search(
r'__version__\s*=\s*[\'"]([^\'"]*)[\'"]', open("pfbudget/__init__.py").read()
):
parser.add_argument(
"--version",
action="version",
version=version.group(1),
)
subparsers = parser.add_subparsers(required=True)
# Exports transactions to specified format and file
export = subparsers.add_parser("export")
export.set_defaults(op=Operation.Export)
file_options(export)
# Imports transactions from specified format and file
pimport = subparsers.add_parser("import")
pimport.set_defaults(op=Operation.Import)
file_options(pimport)
# Parse from .csv
parse = subparsers.add_parser("parse")
parse.set_defaults(op=Operation.Parse)
parse.add_argument("path", nargs="+", type=str)
parse.add_argument("--bank", nargs=1, type=str)
parse.add_argument("--creditcard", nargs=1, type=str)
# Automatic/manual categorization
categorize = subparsers.add_parser("categorize").add_subparsers(required=True)
auto = categorize.add_parser("auto")
auto.set_defaults(op=Operation.Categorize)
auto.add_argument("--no-nulls", action="store_false")
categorize.add_parser("manual").set_defaults(op=Operation.ManualCategorization)
# Banks
bank(subparsers.add_parser("bank"))
# PSD2 access token
subparsers.add_parser("token").set_defaults(op=Operation.Token)
# PSD2 requisition id
requisition = subparsers.add_parser("eua")
requisition.set_defaults(op=Operation.RequisitionId)
requisition.add_argument("bank", nargs=1, type=str)
# Download through the PSD2 API
download = subparsers.add_parser("download", parents=[period])
download.set_defaults(op=Operation.Download)
download_banks = download.add_mutually_exclusive_group()
download_banks.add_argument("--all", action="store_true")
download_banks.add_argument("--banks", nargs="+", type=str)
download.add_argument("--dry-run", action="store_true")
# List available banks in country C
banks = subparsers.add_parser("banks")
banks.set_defaults(op=Operation.PSD2CountryBanks)
banks.add_argument("country", nargs=1, type=str)
# Categories
category(subparsers.add_parser("category"))
# Tag
tags(subparsers.add_parser("tag"))
# Link
link(subparsers.add_parser("link"))
return parser
def bank(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.BankAdd)
add.add_argument("bank", nargs=1, type=str)
add.add_argument("bic", nargs=1, type=str)
add.add_argument("type", nargs=1, type=str, choices=[e.name for e in AccountType])
rem = commands.add_parser("del")
rem.set_defaults(op=Operation.BankDel)
rem.add_argument("bank", nargs="+", type=str)
mod = commands.add_parser("mod")
mod.set_defaults(op=Operation.BankMod)
mod.add_argument("bank", nargs=1, type=str)
mod.add_argument("--bic", nargs=1, type=str)
mod.add_argument("--type", nargs=1, type=str, choices=[e.name for e in AccountType])
mod.add_argument("--remove", nargs="*", default=[], type=str)
psd2(commands.add_parser("psd2"))
export = commands.add_parser("export")
export.set_defaults(op=Operation.ExportBanks)
file_options(export)
pimport = commands.add_parser("import")
pimport.set_defaults(op=Operation.ImportBanks)
file_options(pimport)
def psd2(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.PSD2Add)
add.add_argument("bank", nargs=1, type=str)
add.add_argument("--bank_id", nargs=1, type=str)
add.add_argument("--requisition_id", nargs=1, type=str)
add.add_argument("--invert", action="store_true")
rem = commands.add_parser("del")
rem.set_defaults(op=Operation.PSD2Del)
rem.add_argument("bank", nargs="+", type=str)
mod = commands.add_parser("mod")
mod.set_defaults(op=Operation.PSD2Mod)
mod.add_argument("bank", nargs=1, type=str)
mod.add_argument("--bank_id", nargs=1, type=str)
mod.add_argument("--requisition_id", nargs=1, type=str)
mod.add_argument("--invert", action="store_true")
mod.add_argument("--remove", nargs="*", default=[], type=str)
def category(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.CategoryAdd)
add.add_argument("category", nargs="+", type=str)
add.add_argument("--group", nargs="?", type=str)
remove = commands.add_parser("remove")
remove.set_defaults(op=Operation.CategoryRemove)
remove.add_argument("category", nargs="+", type=str)
update = commands.add_parser("update")
update.set_defaults(op=Operation.CategoryUpdate)
update.add_argument("category", nargs="+", type=str)
update.add_argument("--group", nargs="?", type=str)
schedule = commands.add_parser("schedule")
schedule.set_defaults(op=Operation.CategorySchedule)
schedule.add_argument("category", nargs="+", type=str)
schedule.add_argument("period", nargs=1, choices=[e.value for e in SchedulePeriod])
schedule.add_argument("--frequency", nargs=1, default=[1], type=int)
rule = commands.add_parser("rule")
category_rule(rule)
group = commands.add_parser("group")
category_group(group)
export = commands.add_parser("export")
export.set_defaults(op=Operation.ExportCategories)
file_options(export)
pimport = commands.add_parser("import")
pimport.set_defaults(op=Operation.ImportCategories)
file_options(pimport)
def category_group(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.GroupAdd)
add.add_argument("group", nargs="+", type=str)
remove = commands.add_parser("remove")
remove.set_defaults(op=Operation.GroupRemove)
remove.add_argument("group", nargs="+", type=str)
export = commands.add_parser("export")
export.set_defaults(op=Operation.ExportCategoryGroups)
file_options(export)
pimport = commands.add_parser("import")
pimport.set_defaults(op=Operation.ImportCategoryGroups)
file_options(pimport)
def category_rule(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.RuleAdd)
add.add_argument("category", nargs="+", type=str)
rules(add)
remove = commands.add_parser("remove")
remove.set_defaults(op=Operation.RuleRemove)
remove.add_argument("id", nargs="+", type=int)
modify = commands.add_parser("modify")
modify.set_defaults(op=Operation.RuleModify)
modify.add_argument("id", nargs="+", type=int)
modify.add_argument("--category", nargs=1, type=str)
rules(modify)
modify.add_argument("--remove", nargs="*", default=[], type=str)
export = commands.add_parser("export")
export.set_defaults(op=Operation.ExportCategoryRules)
file_options(export)
pimport = commands.add_parser("import")
pimport.set_defaults(op=Operation.ImportCategoryRules)
file_options(pimport)
def tags(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.TagAdd)
add.add_argument("tag", nargs="+", type=str)
remove = commands.add_parser("remove")
remove.set_defaults(op=Operation.TagRemove)
remove.add_argument("tag", nargs="+", type=str)
rule = commands.add_parser("rule")
tag_rule(rule)
def tag_rule(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
add = commands.add_parser("add")
add.set_defaults(op=Operation.TagRuleAdd)
add.add_argument("tag", nargs="+", type=str)
rules(add)
remove = commands.add_parser("remove")
remove.set_defaults(op=Operation.TagRuleRemove)
remove.add_argument("id", nargs="+", type=int)
modify = commands.add_parser("modify")
modify.set_defaults(op=Operation.TagRuleModify)
modify.add_argument("id", nargs="+", type=int)
modify.add_argument("--tag", nargs=1, type=str)
rules(modify)
export = commands.add_parser("export")
export.set_defaults(op=Operation.ExportTagRules)
file_options(export)
pimport = commands.add_parser("import")
pimport.set_defaults(op=Operation.ImportTagRules)
file_options(pimport)
def rules(parser: argparse.ArgumentParser):
parser.add_argument("--start", nargs=1, type=dt.date.fromisoformat)
parser.add_argument("--end", nargs=1, type=dt.date.fromisoformat)
parser.add_argument("--description", nargs=1, type=str)
parser.add_argument("--regex", nargs=1, type=str)
parser.add_argument("--bank", nargs=1, type=str)
parser.add_argument("--min", nargs=1, type=decimal.Decimal)
parser.add_argument("--max", nargs=1, type=decimal.Decimal)
def link(parser: argparse.ArgumentParser):
commands = parser.add_subparsers(required=True)
forge = commands.add_parser("forge")
forge.set_defaults(op=Operation.Forge)
forge.add_argument("original", nargs=1, type=int)
forge.add_argument("links", nargs="+", type=int)
dismantle = commands.add_parser("dismantle")
dismantle.set_defaults(op=Operation.Dismantle)
dismantle.add_argument("original", nargs=1, type=int)
dismantle.add_argument("links", nargs="+", type=int)
def file_options(parser: argparse.ArgumentParser):
parser.add_argument("file", nargs=1, type=str)
parser.add_argument("format", nargs=1, default="pickle")

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@ -1,121 +0,0 @@
import decimal
from ..core.manager import Manager
from ..db.model import (
Category,
Note,
CategorySelector,
SplitTransaction,
Tag,
Transaction,
TransactionCategory,
TransactionTag,
)
class Interactive:
help = "category(:tag)/split/note:/skip/quit"
selector = CategorySelector.manual
def __init__(self, manager: Manager) -> None:
self.manager = manager
self.categories = self.manager.database.select(Category)
self.tags = self.manager.database.select(Tag)
def intro(self) -> None:
print(
f"Welcome! Available categories are {[c.name for c in self.categories]} and"
f" currently existing tags are {[t.name for t in self.tags]}"
)
def start(self) -> None:
self.intro()
with self.manager.database.session as session:
uncategorized = session.select(
Transaction, lambda: ~Transaction.category.has()
)
uncategorized.sort()
n = len(uncategorized)
print(f"{n} left to categorize")
i = 0
new = []
while (command := input("$ ")) != "quit" and i < len(uncategorized):
current = uncategorized[i] if len(new) == 0 else new.pop()
print(current)
match command:
case "help":
print(self.help)
case "skip":
if len(uncategorized) == 0:
i += 1
case "quit":
break
case "split":
new = self.split(current)
session.insert(new)
case other:
if not other:
print(self.help)
continue
if other.startswith("note:"):
# TODO adding notes to a splitted transaction won't allow
# categorization
current.note = Note(other[len("note:") :].strip())
else:
ct = other.split(":")
if (category := ct[0]) not in [
c.name for c in self.categories
]:
print(self.help, self.categories)
continue
tags = []
if len(ct) > 1:
tags = ct[1:]
current.category = TransactionCategory(
category, self.selector
)
for tag in tags:
if tag not in [t.name for t in self.tags]:
session.insert([Tag(tag)])
self.tags = session.get(Tag)
current.tags.add(TransactionTag(tag))
if len(new) == 0:
i += 1
def split(self, original: Transaction) -> list[SplitTransaction]:
total = original.amount
new = []
done = False
while not done:
if abs(sum(t.amount for t in new)) > abs(total):
print("Overflow, try again")
new.clear()
continue
if sum(t.amount for t in new) == total:
done = True
break
amount = decimal.Decimal(input("amount: "))
new.append(
SplitTransaction(
original.date, original.description, amount, original.id
)
)
return new

325
pfbudget/cli/runnable.py Normal file
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@ -0,0 +1,325 @@
from pathlib import Path
import argparse
import re
from pfbudget.core.categories import categorize_data
from pfbudget.core.manager import Manager
from pfbudget.core.input.json import JsonParser
from pfbudget.db.client import DatabaseClient
import pfbudget.reporting.graph
import pfbudget.reporting.report
import pfbudget.utils
from pfbudget.core.input.nordigen import Client
DEFAULT_DB = "stub.db"
class PfBudgetInitialized(Exception):
pass
class PfBudgetNotInitialized(Exception):
pass
class DataFileMissing(Exception):
pass
def argparser(manager: Manager) -> argparse.ArgumentParser:
help = argparse.ArgumentParser(add_help=False)
help.add_argument(
"-db",
"--database",
nargs="?",
help="select current database",
default=DEFAULT_DB,
)
help.add_argument(
"-q", "--quiet", action="store_true", help="reduces the amount of verbose"
)
period = argparse.ArgumentParser(add_help=False).add_mutually_exclusive_group()
period.add_argument(
"--interval", type=str, nargs=2, help="graph interval", metavar=("START", "END")
)
period.add_argument("--start", type=str, nargs=1, help="graph start date")
period.add_argument("--end", type=str, nargs=1, help="graph end date")
period.add_argument("--year", type=str, nargs=1, help="graph year")
parser = argparse.ArgumentParser(
description="does cool finance stuff",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--version",
action="version",
version=re.search(
r'__version__\s*=\s*[\'"]([^\'"]*)[\'"]',
open("pfbudget/__init__.py").read(),
).group(1),
)
subparsers = parser.add_subparsers(dest="command", required=True)
"""
Init
"""
p_init = subparsers.add_parser(
"init",
description="Initializes the SQLite3 database",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_init.set_defaults(func=lambda args: manager.init())
"""
Exporting
"""
p_export = subparsers.add_parser(
"export",
description="Exports the selected database to a .csv file",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_export.set_defaults(func=lambda args: DatabaseClient(args.database).export())
"""
Parsing
"""
p_parse = subparsers.add_parser(
"parse",
description="Parses and adds the requested transactions into the selected database",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_parse.add_argument("path", nargs="+", type=str)
p_parse.add_argument("--bank", nargs=1, type=str)
p_parse.add_argument("--creditcard", nargs=1, type=str)
p_parse.add_argument("--category", nargs=1, type=int)
p_parse.set_defaults(func=lambda args: parse(manager, args))
"""
Categorizing
"""
p_categorize = subparsers.add_parser(
"categorize",
description="Categorizes the transactions in the selected database",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_categorize.set_defaults(
func=lambda args: categorize_data(DatabaseClient(args.database))
)
"""
Graph
"""
p_graph = subparsers.add_parser(
"graph",
description="Graph of the transactions",
parents=[help, period],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_graph.add_argument(
"option",
type=str,
choices=["monthly", "discrete", "networth"],
nargs="?",
default="monthly",
help="graph option help",
)
p_graph.add_argument("--save", action="store_true")
p_graph.set_defaults(func=graph)
"""
Report
"""
p_report = subparsers.add_parser(
"report",
description="Prints report of transaction groups",
parents=[help, period],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_report.add_argument(
"option",
type=str,
choices=["net", "detailed"],
nargs="?",
default="net",
help="report option help",
)
p_report.set_defaults(func=report)
"""
Register bank
"""
p_register = subparsers.add_parser(
"register",
description="Register a bank",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_register.add_argument(
"bank",
type=str,
nargs=1,
help="bank option help"
)
p_register.add_argument(
"--requisition",
type=str,
nargs=1,
help="requisition option help"
)
p_register.add_argument("--invert", action="store_true")
p_register.add_argument(
"--description",
type=str,
nargs="?",
help="description option help"
)
p_register.set_defaults(func=lambda args: manager.register(vars(args)))
"""
Unregister bank
"""
p_register = subparsers.add_parser(
"unregister",
description="Unregister a bank",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_register.add_argument(
"bank",
type=str,
nargs=1,
help="bank option help"
)
p_register.set_defaults(func=lambda args: manager.unregister(vars(args)))
"""
Nordigen API
"""
p_nordigen_access = subparsers.add_parser(
"token",
description="Get new access token",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_nordigen_access.set_defaults(func=lambda args: Client().token())
"""
Access to Nordigen API
"""
p_nordigen_access = subparsers.add_parser(
"renew",
description="Renew the requisition ID",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_nordigen_access.add_argument("institution", nargs=1, type=str)
p_nordigen_access.add_argument("country", nargs=1, type=str)
p_nordigen_access.set_defaults(
func=lambda args: Client().requisition(args.institution[0], args.country[0])
)
"""
Downloading through Nordigen API
"""
p_nordigen_download = subparsers.add_parser(
"download",
description="Downloads transactions using Nordigen API",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_nordigen_download.add_argument("id", nargs=1, type=str)
p_nordigen_download.set_defaults(func=lambda args: Client().download(args.id[0]))
"""
List available banks to download from
"""
p_nordigen_list = subparsers.add_parser(
"list",
description="Lists banks in {country}",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_nordigen_list.add_argument("country", nargs=1, type=str)
p_nordigen_list.set_defaults(func=lambda args: Client().banks(args.country[0]))
"""
Nordigen JSONs
"""
p_nordigen_json = subparsers.add_parser(
"json",
description="",
parents=[help],
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
p_nordigen_json.add_argument("json", nargs=1, type=str)
p_nordigen_json.add_argument("bank", nargs=1, type=str)
p_nordigen_json.add_argument("--invert", action=argparse.BooleanOptionalAction)
p_nordigen_json.set_defaults(func=lambda args: manager.parser(JsonParser(vars(args))))
return parser
def parse(manager: Manager, args):
"""Parses the contents of the path in args to the selected database.
Args:
args (dict): argparse variables
"""
for path in args.path:
if (dir := Path(path)).is_dir():
for file in dir.iterdir():
manager.parse(file, vars(args))
elif Path(path).is_file():
manager.parse(path, vars(args))
else:
raise FileNotFoundError
def graph(args):
"""Plots the transactions over a period of time.
Args:
args (dict): argparse variables
"""
start, end = pfbudget.utils.parse_args_period(args)
if args.option == "monthly":
pfbudget.reporting.graph.monthly(
DatabaseClient(args.database), vars(args), start, end
)
elif args.option == "discrete":
pfbudget.reporting.graph.discrete(
DatabaseClient(args.database), vars(args), start, end
)
elif args.option == "networth":
pfbudget.reporting.graph.networth(
DatabaseClient(args.database), vars(args), start, end
)
def report(args):
"""Prints a detailed report of the transactions over a period of time.
Args:
args (dict): argparse variables
"""
start, end = pfbudget.utils.parse_args_period(args)
if args.option == "net":
pfbudget.reporting.report.net(DatabaseClient(args.database), start, end)
elif args.option == "detailed":
pfbudget.reporting.report.detailed(DatabaseClient(args.database), start, end)
def run():
manager = Manager(DEFAULT_DB)
args = argparser(manager).parse_args()
args.func(args)

178
pfbudget/core/categories.py Normal file
View File

@ -0,0 +1,178 @@
from __future__ import annotations
from collections import namedtuple
from typing import TYPE_CHECKING
import datetime as dt
import logging
import re
import yaml
if TYPE_CHECKING:
from pfbudget.db.client import DatabaseClient
from pfbudget.core.transactions import Transaction
Options = namedtuple(
"Options",
[
"group",
"regex",
"banks",
"regular",
"not_in_groups",
"date_fmt",
"vacations",
"timedelta",
],
defaults=["No group", [], [], [], [], "", [], 4],
)
cfg = yaml.safe_load(open("categories.yaml"))
try:
categories = {
str(k): Options(**v) if v else Options()
for k, v in cfg.items()
if k and k != "Groups"
}
except TypeError:
logging.exception("Invalid option in categories.yaml")
categories = {}
groups = {
group: [
category for category, options in categories.items() if options.group == group
]
for group in set(category.group for category in categories.values())
}
categories.setdefault("Null", Options())
order = {k: i for i, k in enumerate(cfg["Groups"])}
groups = {
group: groups[group]
for group in sorted(groups, key=lambda x: order.get(x, len(groups)))
}
def categorize_data(db: DatabaseClient):
# 1st) Classifying null transactions, i.e. transfers between banks.
# Will not overwrite previous categories
nulls(db)
# 2nd) Classifying all vacations by vacation dates
# Will not overwrite previous categories
vacations(db)
# 3rd) Classify all else based on regex
if transactions := db.get_uncategorized_transactions():
for transaction in transactions:
for name, category in categories.items():
if matches(transaction, category):
transaction.category = name
break
db.update_categories(
[transaction for transaction in transactions if transaction.category]
)
# 4th) Manually update categories from the uncategorized transactions
if transactions := db.get_uncategorized_transactions():
print(
f"Still {len(transactions)} uncategorized transactions left. Type quit/exit to exit the program."
)
for transaction in transactions:
while True:
category = input(f"{repr(transaction)} category: ")
if category == "quit" or category == "exit":
return
if not category:
break
if category not in categories:
print(
f"Category {category} doesn't exist. Please use one of {categories.keys()}"
)
else:
transaction.category = category
db.update_category(transaction)
break
def vacations(db: DatabaseClient) -> None:
try:
date_fmt = categories["Travel"].date_fmt
for start, end in categories["Travel"].vacations:
try:
start = dt.datetime.strptime(start, date_fmt).date().isoformat()
end = dt.datetime.strptime(end, date_fmt).date().isoformat()
except ValueError as e:
logging.warning(f"{e} continuing...")
continue
not_in_groups = categories["Travel"].not_in_groups # default is []
update = False
if transactions := db.get_daterange_uncategorized_transactions(start, end):
for transaction in transactions:
if not_in_groups:
if not any(
matches(
transaction,
categories.get(category, Options()),
)
for group in not_in_groups
for category in groups[group]
):
transaction.category = "Travel"
update = True
else:
transaction.category = "Travel"
update = True
if update:
db.update_categories(transactions)
except KeyError as e:
logging.exception(e)
def nulls(db: DatabaseClient) -> None:
null = categories.get("Null", Options())
transactions = db.get_uncategorized_transactions()
if not transactions:
return
matching_transactions = []
for t in transactions:
for cancel in (
cancel
for cancel in transactions
if (
t.date - dt.timedelta(days=null.timedelta)
<= cancel.date
<= t.date + dt.timedelta(days=null.timedelta)
and (matches(t, null) if null.regex else True)
and t.bank != cancel.bank
and t not in matching_transactions
and cancel not in matching_transactions
and cancel != t
and t.value == -cancel.value
)
):
t.category = "Null"
cancel.category = "Null"
matching_transactions.extend([t, cancel])
break # There will only be one match per null transaction pair
if matching_transactions:
db.update_categories(matching_transactions)
def matches(transaction: Transaction, category: Options):
if not category.regex:
return False
try:
return any(
re.compile(pattern.lower()).search(transaction.description.lower())
for pattern in category.regex
)
except re.error as e:
print(f"{e}{transaction} {category}")

View File

@ -1,128 +0,0 @@
from abc import ABC, abstractmethod
import json
from pathlib import Path
import pickle
from typing import Type
from pfbudget.common.types import ExportFormat
from pfbudget.db.client import Client
from pfbudget.db.model import (
Bank,
Category,
CategoryGroup,
Serializable,
Tag,
Transaction,
)
# required for the backup import
import pfbudget.db.model
class Command(ABC):
@abstractmethod
def execute(self) -> None:
raise NotImplementedError
def undo(self) -> None:
raise NotImplementedError
class ExportCommand(Command):
def __init__(
self, client: Client, what: Type[Serializable], fn: Path, format: ExportFormat
):
self.__client = client
self.what = what
self.fn = fn
self.format = format
def execute(self) -> None:
values = self.__client.select(self.what)
match self.format:
case ExportFormat.JSON:
with open(self.fn, "w", newline="") as f:
json.dump([e.serialize() for e in values], f, indent=4)
case ExportFormat.pickle:
raise AttributeError("pickle export not working at the moment!")
with open(self.fn, "wb") as f:
pickle.dump(values, f)
class ImportCommand(Command):
def __init__(
self, client: Client, what: Type[Serializable], fn: Path, format: ExportFormat
):
self.__client = client
self.what = what
self.fn = fn
self.format = format
def execute(self) -> None:
match self.format:
case ExportFormat.JSON:
with open(self.fn, "r") as f:
try:
values = json.load(f)
values = [self.what.deserialize(v) for v in values]
except json.JSONDecodeError as e:
raise ImportFailedError(e)
case ExportFormat.pickle:
raise AttributeError("pickle import not working at the moment!")
with open(self.fn, "rb") as f:
values = pickle.load(f)
self.__client.insert(values)
class ImportFailedError(Exception):
pass
class BackupCommand(Command):
def __init__(self, client: Client, fn: Path, format: ExportFormat) -> None:
self.__client = client
self.fn = fn
self.format = format
def execute(self) -> None:
banks = self.__client.select(Bank)
groups = self.__client.select(CategoryGroup)
categories = self.__client.select(Category)
tags = self.__client.select(Tag)
transactions = self.__client.select(Transaction)
values = [*banks, *groups, *categories, *tags, *transactions]
match self.format:
case ExportFormat.JSON:
with open(self.fn, "w", newline="") as f:
json.dump([e.serialize() for e in values], f, indent=4)
case ExportFormat.pickle:
raise AttributeError("pickle export not working at the moment!")
class ImportBackupCommand(Command):
def __init__(self, client: Client, fn: Path, format: ExportFormat) -> None:
self.__client = client
self.fn = fn
self.format = format
def execute(self) -> None:
match self.format:
case ExportFormat.JSON:
with open(self.fn, "r") as f:
try:
values = json.load(f)
values = [
getattr(pfbudget.db.model, v["class_"]).deserialize(v)
for v in values
]
except json.JSONDecodeError as e:
raise ImportFailedError(e)
case ExportFormat.pickle:
raise AttributeError("pickle import not working at the moment!")
self.__client.insert(values)

View File

View File

@ -0,0 +1,13 @@
from abc import ABC, abstractmethod
from pfbudget.core.transactions import Transactions
class Input(ABC):
@abstractmethod
def __init__(self, options: dict):
self.options = options
@abstractmethod
def parse(self) -> Transactions:
return NotImplemented

View File

@ -0,0 +1,30 @@
import json
from pfbudget.core.input.input import Input
from pfbudget.core.transactions import Transactions
from pfbudget.utils.converters import convert
from pfbudget.utils.utils import parse_decimal
class JsonParser(Input):
def __init__(self, options):
super().__init__(options)
def parse(self) -> Transactions:
try:
with open(self.options["json"][0], "r") as f:
return [
convert(
[
t["bookingDate"],
t["remittanceInformationUnstructured"],
self.options["bank"][0],
parse_decimal(t["transactionAmount"]["amount"])
if not self.options["invert"]
else -parse_decimal(t["transactionAmount"]["amount"]),
],
)
for t in json.load(f)["transactions"]["booked"]
]
except KeyError:
print("No json file defined")

View File

@ -0,0 +1,84 @@
from dotenv import load_dotenv
from nordigen import NordigenClient
from uuid import uuid4
import os
import webbrowser
from .input import Input
from pfbudget.core.transactions import Transactions
from pfbudget.utils.converters import convert
from pfbudget.utils.utils import parse_decimal
load_dotenv()
class Client(Input):
def __init__(self, options: dict):
super().__init__(options)
self._client = NordigenClient(
secret_key=os.environ.get("SECRET_KEY"),
secret_id=os.environ.get("SECRET_ID"),
)
self._client.token = self.__token()
def parse(self) -> Transactions:
requisition = self._client.requisition.get_requisition_by_id(self.options["id"])
for acc in requisition["accounts"]:
account = self._client.account_api(acc)
d = account.get_transactions()["transactions"]
return [
convert(
t["bookingDate"],
t["remittanceInformationUnstructured"],
self.options["bank"],
parse_decimal(t["transactionAmount"]["amount"])
if not self.options["invert"]
else -parse_decimal(t["transactionAmount"]["amount"]),
)
for t in d["booked"]
]
def token(self):
token = self._client.generate_token()
print(f"New access token: {token}")
return token
def requisition(self, institution: str, country: str = "PT"):
link, _ = self.__requisition_id(institution, country)
webbrowser.open(link)
def download(self, id: str):
if len(id) > 0:
return self.parse(id)
else:
print("you forgot the req id")
def banks(self, country: str):
print(self._client.institution.get_institutions(country))
@property
def client(self):
return self._client
def __token(self):
if token := os.environ.get("TOKEN"):
return token
else:
token = self._client.generate_token()
print(f"New access token: {token}")
return token
def __requisition_id(self, i: str, c: str):
id = self._client.institution.get_institution_id_by_name(
country=c, institution=i
)
init = self._client.initialize_session(
redirect_uri="https://murta.dev",
institution_id=id,
reference_id=str(uuid4()),
)
print(f"{i}({c}) link: {init.link} and requisition ID: {init.requisition_id}")
return (init.link, init.requisition_id)

View File

@ -1,67 +1,73 @@
from __future__ import annotations
from collections import namedtuple
from decimal import Decimal
from importlib import import_module
from pathlib import Path
import datetime as dt
from typing import Any, Callable, NamedTuple, Optional
import yaml
from pfbudget.common.types import NoBankSelected
from pfbudget.db.model import BankTransaction
from pfbudget.core.transactions import Transaction
from pfbudget.utils import utils
class Index(NamedTuple):
date: int = -1
text: int = -1
value: int = -1
negate: bool = False
Index = namedtuple(
"Index", ["date", "text", "value", "negate"], defaults=[-1, -1, -1, False]
)
Options = namedtuple(
"Options",
[
"encoding",
"separator",
"date_fmt",
"start",
"end",
"debit",
"credit",
"additional_parser",
"category",
"VISA",
"MasterCard",
"AmericanExpress",
],
defaults=[
"",
"",
"",
1,
None,
Index(),
Index(),
False,
None,
None,
None,
None,
],
)
class Options(NamedTuple):
encoding: str
separator: str
date_fmt: str
start: int = 1
end: Optional[int] = None
debit: Index = Index()
credit: Index = Index()
additional_parser: bool = False
VISA: Optional[Options] = None
MasterCard: Optional[Options] = None
AmericanExpress: Optional[Options] = None
def parse_data(filename: Path, args: dict[str, Any]) -> list[BankTransaction]:
cfg: dict[str, Any] = yaml.safe_load(open("parsers.yaml"))
def parse_data(filename: str, args: dict) -> None:
cfg: dict = yaml.safe_load(open("parsers.yaml"))
assert (
"Banks" in cfg
), "parsers.yaml is missing the Banks section with the list of available banks"
if not args["bank"]:
bank, creditcard = utils.find_credit_institution( # type: ignore
bank, creditcard = utils.find_credit_institution(
filename, cfg.get("Banks"), cfg.get("CreditCards")
)
else:
bank = args["bank"][0]
creditcard = None if not args["creditcard"] else args["creditcard"][0]
try:
options: dict[str, Any] = cfg[bank]
except KeyError as e:
banks = cfg["Banks"]
raise NoBankSelected(f"{e} not a valid bank, try one of {banks}")
if creditcard:
try:
options = options[creditcard]
except KeyError as e:
creditcards = cfg["CreditCards"]
raise NoBankSelected(f"{e} not a valid bank, try one of {creditcards}")
if not creditcard:
options: dict = cfg[bank]
else:
options: dict = cfg[bank][creditcard]
bank += creditcard
if args["category"]:
options["category"] = args["category"][0]
if options.get("additional_parser"):
parser = getattr(import_module("pfbudget.extract.parsers"), bank)
parser = getattr(import_module("pfbudget.parsers"), bank)
transactions = parser(filename, bank, options).parse()
else:
transactions = Parser(filename, bank, options).parse()
@ -70,7 +76,7 @@ def parse_data(filename: Path, args: dict[str, Any]) -> list[BankTransaction]:
class Parser:
def __init__(self, filename: Path, bank: str, options: dict[str, Any]):
def __init__(self, filename: str, bank: str, options: dict):
self.filename = filename
self.bank = bank
@ -81,10 +87,10 @@ class Parser:
self.options = Options(**options)
def func(self, transaction: BankTransaction):
def func(self, transaction: Transaction):
pass
def parse(self) -> list[BankTransaction]:
def parse(self) -> list[Transaction]:
transactions = [
Parser.transaction(line, self.bank, self.options, self.func)
for line in list(open(self.filename, encoding=self.options.encoding))[
@ -95,8 +101,7 @@ class Parser:
return transactions
@staticmethod
def index(line: list[str], options: Options) -> Index:
index = None
def index(line: list, options: Options) -> Index:
if options.debit.date != -1 and options.credit.date != -1:
if options.debit.value != options.credit.value:
if line[options.debit.value]:
@ -123,57 +128,49 @@ class Parser:
else:
raise IndexError("No debit not credit indexes available")
return index if index else Index()
return index
@staticmethod
def transaction(
line_: str, bank: str, options: Options, func: Callable[[BankTransaction], None]
) -> BankTransaction:
line = line_.rstrip().split(options.separator)
def transaction(line: str, bank: str, options: Options, func) -> Transaction:
line = line.rstrip().split(options.separator)
index = Parser.index(line, options)
try:
date_str = line[index.date].strip()
date = dt.datetime.strptime(date_str, options.date_fmt).date()
date = (
dt.datetime.strptime(line[index.date].strip(), options.date_fmt)
.date()
.isoformat()
)
text = line[index.text]
value = utils.parse_decimal(line[index.value])
if index.negate:
value = -value
text = line[index.text]
if options.category:
category = line[options.category]
transaction = Transaction(date, text, bank, value, category)
else:
transaction = Transaction(date, text, bank, value, options.category)
value = utils.parse_decimal(line[index.value])
if index.negate:
value = -value
transaction = BankTransaction(date, text, value, bank=bank)
if options.additional_parser:
func(transaction)
return transaction
except IndexError:
raise IndexError(line_)
if options.additional_parser:
func(transaction)
return transaction
class Bank1(Parser):
def __init__(self, filename: Path, bank: str, options: dict[str, Any]):
def __init__(self, filename: str, bank: str, options: dict):
super().__init__(filename, bank, options)
self.transfers: list[dt.date] = []
self.transfers = []
self.transaction_cost = -Decimal("1")
def func(self, transaction: BankTransaction):
if (
transaction.description
and "transf" in transaction.description.lower()
and transaction.amount < 0
):
transaction.amount -= self.transaction_cost
def func(self, transaction: Transaction):
if "transf" in transaction.description.lower() and transaction.value < 0:
transaction.value -= self.transaction_cost
self.transfers.append(transaction.date)
def parse(self) -> list[BankTransaction]:
def parse(self) -> list:
transactions = super().parse()
for date in self.transfers:
transactions.append(
BankTransaction(
date, "Transaction cost", self.transaction_cost, bank=self.bank
)
Transaction(date, "Transaction cost", self.bank, self.transaction_cost)
)
return transactions

View File

@ -1,411 +1,49 @@
import json
from pathlib import Path
import pickle
from typing import Optional
import webbrowser
from pfbudget.common.types import Operation
from pfbudget.db.client import Client
from pfbudget.db.model import (
Bank,
BankTransaction,
Category,
CategoryGroup,
CategoryRule,
CategorySchedule,
Link,
MoneyTransaction,
NordigenBank,
Rule,
CategorySelector,
SplitTransaction,
Tag,
TagRule,
Transaction,
TransactionCategory,
)
from pfbudget.extract.nordigen import NordigenClient, NordigenCredentialsManager
from pfbudget.extract.parsers import parse_data
from pfbudget.extract.psd2 import PSD2Extractor
from pfbudget.load.database import DatabaseLoader
from pfbudget.transform.categorizer import Categorizer
from pfbudget.transform.nullifier import Nullifier
from pfbudget.transform.tagger import Tagger
from pfbudget.core.input.input import Input
from pfbudget.core.input.parsers import parse_data
from pfbudget.core.transactions import Transaction
from pfbudget.db.client import DatabaseClient
from pfbudget.db.schema import Bank
from pfbudget.utils.converters import convert
class Manager:
def __init__(self, db: str, verbosity: int = 0):
self._db = db
self._database: Optional[Client] = None
self._verbosity = verbosity
def __init__(self, db: str):
self.db = db
def action(self, op: Operation, params=None):
if self._verbosity > 0:
print(f"op={op}, params={params}")
def init(self):
client = DatabaseClient(self.db)
client.init()
if params is None:
params = []
match (op):
case Operation.Init:
pass
case Operation.Transactions:
return [t.format for t in self.database.select(Transaction)]
case Operation.Parse:
# Adapter for the parse_data method. Can be refactored.
args = {"bank": params[1], "creditcard": params[2], "category": None}
transactions = []
for path in [Path(p) for p in params[0]]:
if path.is_dir():
for file in path.iterdir():
transactions.extend(self.parse(file, args))
elif path.is_file():
transactions.extend(self.parse(path, args))
else:
raise FileNotFoundError(path)
if (
len(transactions) > 0
and input(f"{transactions[:5]}\nCommit? (y/n)") == "y"
):
self.database.insert(sorted(transactions))
case Operation.Download:
if params[3]:
values = params[3]
banks = self.database.select(Bank, lambda: Bank.name.in_(values))
else:
banks = self.database.select(Bank, Bank.nordigen)
extractor = PSD2Extractor(self.nordigen_client())
transactions = []
for bank in banks:
transactions.extend(extractor.extract(bank, params[0], params[1]))
# dry-run
if params[2]:
print(sorted(transactions))
return
loader = DatabaseLoader(self.database)
loader.load(sorted(transactions))
case Operation.Categorize:
with self.database.session as session:
uncategorized = session.select(
BankTransaction, lambda: ~BankTransaction.category.has()
)
categories = session.select(Category)
tags = session.select(Tag)
rules = [
rule
for cat in categories
if cat.name == "null"
for rule in cat.rules
]
Nullifier(rules).transform_inplace(uncategorized)
rules = [
rule
for cat in categories
if cat.name != "null"
for rule in cat.rules
]
Categorizer(rules).transform_inplace(uncategorized)
rules = [rule for tag in tags for rule in tag.rules]
Tagger(rules).transform_inplace(uncategorized)
case Operation.BankMod:
self.database.update(Bank, params)
case Operation.PSD2Mod:
self.database.update(NordigenBank, params)
case Operation.BankDel:
self.database.delete(Bank, Bank.name, params)
case Operation.PSD2Del:
self.database.delete(NordigenBank, NordigenBank.name, params)
case Operation.RequisitionId:
bank_name = params[0]
bank = self.database.select(Bank, (lambda: Bank.name == bank_name))[0]
if not bank.nordigen or not bank.nordigen.bank_id:
raise ValueError(f"{bank} doesn't have a Nordigen ID")
link, req_id = self.nordigen_client().new_requisition(
bank.nordigen.bank_id
def register(self, args: dict):
print(args)
client = DatabaseClient(self.db)
client.register_bank(
Bank(
(
args["bank"][0],
args["requisition"][0]
if args["requisition"]
else args["requisition"],
args["invert"],
args["description"],
)
)
)
self.database.update(
NordigenBank,
[{"name": bank.nordigen.name, "requisition_id": req_id}],
)
def unregister(self, args: dict):
client = DatabaseClient(self.db)
client.unregister_bank(args["bank"][0])
webbrowser.open(link)
def parser(self, parser: Input):
print(parser.parse())
case Operation.PSD2CountryBanks:
banks = self.nordigen_client().country_banks(params[0])
print(banks)
def parse(self, filename: str, args: dict):
transactions = parse_data(filename, args)
self.add_transactions(transactions)
case (
Operation.BankAdd
| Operation.CategoryAdd
| Operation.GroupAdd
| Operation.PSD2Add
| Operation.RuleAdd
| Operation.TagAdd
| Operation.TagRuleAdd
):
self.database.insert(params)
def transactions() -> list[Transaction]:
pass
case Operation.CategoryUpdate:
self.database.update(Category, params)
case Operation.CategoryRemove:
self.database.delete(Category, Category.name, params)
case Operation.CategorySchedule:
raise NotImplementedError
case Operation.RuleRemove:
self.database.delete(CategoryRule, CategoryRule.id, params)
case Operation.TagRemove:
self.database.delete(Tag, Tag.name, params)
case Operation.TagRuleRemove:
self.database.delete(TagRule, TagRule.id, params)
case Operation.RuleModify | Operation.TagRuleModify:
self.database.update(Rule, params)
case Operation.GroupRemove:
self.database.delete(CategoryGroup, CategoryGroup.name, params)
case Operation.Forge:
if not (
isinstance(params[0], int)
and all(isinstance(p, int) for p in params[1])
):
raise TypeError("f{params} are not transaction ids")
with self.database.session as session:
id = params[0]
original = session.select(
Transaction, lambda: Transaction.id == id
)[0]
ids = params[1]
links = session.select(Transaction, lambda: Transaction.id.in_(ids))
if not original.category:
original.category = self.askcategory(original)
for link in links:
if (
not link.category
or link.category.name != original.category.name
):
print(
f"{link} category will change to"
f" {original.category.name}"
)
link.category = original.category
tobelinked = [Link(original.id, link.id) for link in links]
session.insert(tobelinked)
case Operation.Dismantle:
raise NotImplementedError
case Operation.Split:
if len(params) < 1 and not all(
isinstance(p, Transaction) for p in params
):
raise TypeError(f"{params} are not transactions")
# t -> t1, t2, t3; t.value == Σti.value
original: Transaction = params[0]
if not original.amount == sum(t.amount for t in params[1:]):
raise ValueError(
f"{original.amount}€ != {sum(v for v, _ in params[1:])}"
)
with self.database.session as session:
originals = session.select(
Transaction, lambda: Transaction.id == original.id
)
assert len(originals) == 1, ">1 transactions matched {original.id}!"
originals[0].split = True
transactions = []
for t in params[1:]:
if originals[0].date != t.date:
t.date = originals[0].date
print(
f"{t.date} is different from original date"
f" {originals[0].date}, using original"
)
splitted = SplitTransaction(
t.date, t.description, t.amount, originals[0].id
)
splitted.category = t.category
transactions.append(splitted)
session.insert(transactions)
case Operation.Export:
self.dump(params[0], params[1], self.database.select(Transaction))
case Operation.Import:
transactions = []
for row in self.load(params[0], params[1]):
match row["type"]:
case "bank":
transaction = BankTransaction(
row["date"],
row["description"],
row["amount"],
row["bank"],
)
case "money":
transaction = MoneyTransaction(
row["date"], row["description"], row["amount"]
)
# TODO case "split" how to match to original transaction?? also
# save ids?
case _:
continue
if category := row.pop("category", None):
transaction.category = TransactionCategory(
category["name"], category["selector"]["selector"]
)
transactions.append(transaction)
if self.certify(transactions):
self.database.insert(transactions)
case Operation.ExportBanks:
self.dump(params[0], params[1], self.database.select(Bank))
case Operation.ImportBanks:
banks = []
for row in self.load(params[0], params[1]):
bank = Bank(row["name"], row["BIC"], row["type"])
if row["nordigen"]:
bank.nordigen = NordigenBank(**row["nordigen"])
banks.append(bank)
if self.certify(banks):
self.database.insert(banks)
case Operation.ExportCategoryRules:
self.dump(params[0], params[1], self.database.select(CategoryRule))
case Operation.ImportCategoryRules:
rules = [CategoryRule(**row) for row in self.load(params[0], params[1])]
if self.certify(rules):
self.database.insert(rules)
case Operation.ExportTagRules:
self.dump(params[0], params[1], self.database.select(TagRule))
case Operation.ImportTagRules:
rules = [TagRule(**row) for row in self.load(params[0], params[1])]
if self.certify(rules):
self.database.insert(rules)
case Operation.ExportCategories:
self.dump(params[0], params[1], self.database.select(Category))
case Operation.ImportCategories:
# rules = [Category(**row) for row in self.load(params[0])]
categories = []
for row in self.load(params[0], params[1]):
category = Category(row["name"], row["group"])
if len(row["rules"]) > 0:
# Only category rules could have been created with a rule
rules = row["rules"]
for rule in rules:
del rule["type"]
category.rules = [CategoryRule(**rule) for rule in rules]
if row["schedule"]:
category.schedule = CategorySchedule(**row["schedule"])
categories.append(category)
if self.certify(categories):
self.database.insert(categories)
case Operation.ExportCategoryGroups:
self.dump(params[0], params[1], self.database.select(CategoryGroup))
case Operation.ImportCategoryGroups:
groups = [
CategoryGroup(**row) for row in self.load(params[0], params[1])
]
if self.certify(groups):
self.database.insert(groups)
def parse(self, filename: Path, args: dict):
return parse_data(filename, args)
def askcategory(self, transaction: Transaction):
selector = CategorySelector.manual
categories = self.database.select(Category)
while True:
category = input(f"{transaction}: ")
if category in [c.name for c in categories]:
return TransactionCategory(category, selector)
@staticmethod
def dump(fn, format, sequence):
if format == "pickle":
with open(fn, "wb") as f:
pickle.dump([e.format for e in sequence], f)
elif format == "json":
with open(fn, "w", newline="") as f:
json.dump([e.format for e in sequence], f, indent=4, default=str)
else:
print("format not well specified")
@staticmethod
def load(fn, format):
if format == "pickle":
with open(fn, "rb") as f:
return pickle.load(f)
else:
print("format not well specified")
return []
@staticmethod
def certify(imports: list) -> bool:
if input(f"{imports[:10]}\nDoes the import seem correct? (y/n)") == "y":
return True
return False
@property
def database(self) -> Client:
if not self._database:
self._database = Client(self._db, echo=self._verbosity > 2)
return self._database
def nordigen_client(self) -> NordigenClient:
return NordigenClient(NordigenCredentialsManager.default, self.database)
def add_transactions(self, transactions: list[Transaction]):
converted = convert(transactions)
self.__db.insert_transactions(converted)

View File

@ -1,59 +1,7 @@
from dataclasses import dataclass
from datetime import date
from decimal import Decimal, InvalidOperation
from enum import Enum, auto
class Operation(Enum):
Init = auto()
Transactions = auto()
Parse = auto()
Download = auto()
Categorize = auto()
ManualCategorization = auto()
Token = auto()
RequisitionId = auto()
CategoryAdd = auto()
CategoryUpdate = auto()
CategoryRemove = auto()
CategorySchedule = auto()
RuleAdd = auto()
RuleRemove = auto()
RuleModify = auto()
GroupAdd = auto()
GroupRemove = auto()
TagAdd = auto()
TagRemove = auto()
TagRuleAdd = auto()
TagRuleRemove = auto()
TagRuleModify = auto()
Forge = auto()
Dismantle = auto()
Split = auto()
BankAdd = auto()
BankMod = auto()
BankDel = auto()
PSD2Add = auto()
PSD2Mod = auto()
PSD2Del = auto()
PSD2CountryBanks = auto()
Export = auto()
Import = auto()
ExportBanks = auto()
ImportBanks = auto()
ExportCategoryRules = auto()
ImportCategoryRules = auto()
ExportTagRules = auto()
ImportTagRules = auto()
ExportCategories = auto()
ImportCategories = auto()
ExportCategoryGroups = auto()
ImportCategoryGroups = auto()
class ExportFormat(Enum):
JSON = auto()
pickle = auto()
COMMENT_TOKEN = "#"
class TransactionError(Exception):
@ -79,7 +27,7 @@ class Transaction:
self.description = " ".join(arg[1].split())
self.bank = arg[2]
if type(arg[3]) is float:
self.value = Decimal(str(arg[3]))
self.value = arg[3]
else:
self.value = Decimal(args[3])
self.category = arg[4]
@ -156,26 +104,3 @@ class Transaction:
Transactions = list[Transaction]
class PrimaryKey(Enum):
ID = auto()
NAME = auto()
BIC = auto()
@dataclass
class Bank:
name: str
bic: str
requisition_id: str
invert: bool
offset: int
key: PrimaryKey = PrimaryKey.ID
Banks = list[Bank]
class NoBankSelected(Exception):
pass

View File

@ -1,83 +1,199 @@
from collections.abc import Sequence
from copy import deepcopy
from sqlalchemy import Engine, create_engine, delete, select, update
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session, sessionmaker
from typing import Any, Mapping, Optional, Type, TypeVar
from __future__ import annotations
from decimal import Decimal
import csv
import datetime
import logging
import logging.config
import pathlib
import sqlite3
from pfbudget.db.exceptions import InsertError
from pfbudget.core.transactions import Transaction
import pfbudget.db.schema as Q
class DatabaseSession:
def __init__(self, session: Session):
self.__session = session
if not pathlib.Path("logs").is_dir():
pathlib.Path("logs").mkdir()
logging.config.fileConfig("logging.conf")
logger = logging.getLogger("pfbudget.transactions")
def __enter__(self):
self.__session.begin()
return self
sqlite3.register_adapter(Decimal, lambda d: float(d))
def __exit__(self, exc_type: Any, exc_val: Any, exc_tb: Any):
__DB_NAME = "data.db"
class DatabaseClient:
"""SQLite DB connection manager"""
__EXPORT_DIR = "export"
def __init__(self, db: str):
self.db = db
def __execute(self, query: str, params: tuple = None) -> list | None:
ret = None
try:
if exc_type:
self.__session.rollback()
else:
self.__session.commit()
except IntegrityError as e:
raise InsertError() from e
con = sqlite3.connect(self.db)
with con:
if params:
ret = con.execute(query, params).fetchall()
logger.debug(f"[{self.db}] < {query}{params}")
else:
ret = con.execute(query).fetchall()
logger.debug(f"[{self.db}] < {query}")
if ret:
logger.debug(f"[{self.db}] > {ret}")
except sqlite3.Error:
logger.exception(f"Error while executing [{self.db}] < {query}")
finally:
self.__session.close()
con.close()
def close(self):
self.__session.close()
return ret
def insert(self, sequence: Sequence[Any]) -> None:
self.__session.add_all(sequence)
def __executemany(self, query: str, list_of_params: list[tuple]) -> list | None:
ret = None
try:
con = sqlite3.connect(self.db)
with con:
ret = con.executemany(query, list_of_params).fetchall()
logger.debug(f"[{self.db}] < {query}{list_of_params}")
except sqlite3.Error:
logger.exception(
f"Error while executing [{self.db}] < {query} {list_of_params}"
)
finally:
con.close()
T = TypeVar("T")
return ret
def select(self, what: Type[T], exists: Optional[Any] = None) -> Sequence[T]:
if exists:
stmt = select(what).filter(exists)
else:
stmt = select(what)
def __create_tables(self, tables: tuple[tuple]):
for table_name, query in tables:
logger.info(f"Creating table {table_name} if it doesn't exist already")
self.__execute(query)
return self.__session.scalars(stmt).unique().all()
def init(self):
logging.info(f"Initializing {self.db} database")
self.__create_tables(
(
("transactions", Q.CREATE_TRANSACTIONS_TABLE),
("backups", Q.CREATE_BACKUPS_TABLE),
("banks", Q.CREATE_BANKS_TABLE),
)
)
def delete(self, obj: Any) -> None:
self.__session.delete(obj)
"""Transaction table methods"""
def select_all(self) -> list[Transaction] | None:
logger.info(f"Reading all transactions from {self.db}")
transactions = self.__execute("SELECT * FROM transactions")
if transactions:
return [Transaction(t) for t in transactions]
return None
class Client:
def __init__(self, url: str, **kwargs: Any):
assert url, "Database URL is empty!"
self._engine = create_engine(url, **kwargs)
self._sessionmaker = sessionmaker(self._engine)
def insert_transaction(self, transaction: Transaction):
logger.info(f"Adding {transaction} into {self.db}")
self.__execute(Q.ADD_TRANSACTION, (transaction.to_list(),))
def insert(self, sequence: Sequence[Any]) -> None:
new = deepcopy(sequence)
with self.session as session:
session.insert(new)
def insert_transactions(self, transactions: list[list]):
logger.info(f"Adding {len(transactions)} into {self.db}")
self.__executemany(Q.ADD_TRANSACTION, transactions)
T = TypeVar("T")
def update_category(self, transaction: Transaction):
logger.info(f"Update {transaction} category")
self.__execute(Q.UPDATE_CATEGORY, transaction.update_category())
def select(self, what: Type[T], exists: Optional[Any] = None) -> Sequence[T]:
session = self.session
result = session.select(what, exists)
session.close()
return result
def update_categories(self, transactions: list[Transaction]):
logger.info(f"Update {len(transactions)} transactions' categories")
self.__executemany(
Q.UPDATE_CATEGORY,
[transaction.update_category() for transaction in transactions],
)
def update(self, what: Type[Any], values: Sequence[Mapping[str, Any]]) -> None:
with self._sessionmaker() as session, session.begin():
session.execute(update(what), values)
def get_duplicated_transactions(self) -> list[Transaction] | None:
logger.info("Get duplicated transactions")
transactions = self.__execute(Q.DUPLICATED_TRANSACTIONS)
if transactions:
return [Transaction(t) for t in transactions]
return None
def delete(self, what: Type[Any], column: Any, values: Sequence[Any]) -> None:
with self._sessionmaker() as session, session.begin():
session.execute(delete(what).where(column.in_(values)))
def get_sorted_transactions(self) -> list[Transaction] | None:
logger.info("Get transactions sorted by date")
transactions = self.__execute(Q.SORTED_TRANSACTIONS)
if transactions:
return [Transaction(t) for t in transactions]
return None
@property
def engine(self) -> Engine:
return self._engine
def get_daterange(self, start: datetime, end: datetime) -> list[Transaction] | None:
logger.info(f"Get transactions from {start} to {end}")
transactions = self.__execute(Q.SELECT_TRANSACTIONS_BETWEEN_DATES, (start, end))
if transactions:
return [Transaction(t) for t in transactions]
return None
@property
def session(self) -> DatabaseSession:
return DatabaseSession(self._sessionmaker())
def get_category(self, value: str) -> list[Transaction] | None:
logger.info(f"Get transactions where category = {value}")
transactions = self.__execute(Q.SELECT_TRANSACTIONS_BY_CATEGORY, (value,))
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_daterange_category(
self, start: datetime, end: datetime, category: str
) -> list[Transaction] | None:
logger.info(
f"Get transactions from {start} to {end} where category = {category}"
)
transactions = self.__execute(
Q.SELECT_TRANSACTIONS_BETWEEN_DATES_WITH_CATEGORY, (start, end, category)
)
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_by_period(self, period: str) -> list[Transaction] | None:
logger.info(f"Get transactions by {period}")
transactions = self.__execute(Q.SELECT_TRANSACTION_BY_PERIOD, period)
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_uncategorized_transactions(self) -> list[Transaction] | None:
logger.debug("Get uncategorized transactions")
return self.get_category(None)
def get_daterange_uncategorized_transactions(self, start: datetime, end: datetime):
logger.debug("Get uncategorized transactions from {start} to {end}")
return self.get_daterange_category(start, end, None)
def get_daterage_without(
self, start: datetime, end: datetime, *categories: str
) -> list[Transaction] | None:
logger.info(f"Get transactions between {start} and {end} not in {categories}")
query = Q.SELECT_TRANSACTIONS_BETWEEN_DATES_WITHOUT_CATEGORIES.format(
"(" + ", ".join("?" for _ in categories) + ")"
)
transactions = self.__execute(query, (start, end, *categories))
if transactions:
return [Transaction(t) for t in transactions]
return None
def export(self):
filename = pathlib.Path(
"@".join([self.db, datetime.datetime.now().isoformat()])
).with_suffix(".csv")
transactions = self.select_all()
logger.info(f"Exporting {self.db} into {filename}")
if not (dir := pathlib.Path(self.__EXPORT_DIR)).is_dir():
dir.mkdir()
with open(dir / filename, "w", newline="") as f:
csv.writer(f, delimiter="\t").writerows(transactions)
"""Banks table methods"""
def register_bank(self, bank: Q.Bank):
logger.info(f"Registering bank {bank[0]} with req_id={bank[1]}")
self.__execute(Q.ADD_BANK, (bank[0], bank[1], bank[2], bank[3]))
def unregister_bank(self, bank: str):
logger.info(f"Unregistering bank {bank}")
self.__execute(Q.DELETE_BANK, (bank,))

View File

@ -1,6 +0,0 @@
class InsertError(Exception):
pass
class SelectError(Exception):
pass

View File

@ -1,551 +0,0 @@
from __future__ import annotations
from collections.abc import Mapping, MutableMapping, Sequence
from dataclasses import dataclass
import datetime as dt
import decimal
import enum
import re
from typing import Annotated, Any, Callable, Optional, Self, cast
from sqlalchemy import (
BigInteger,
Enum,
ForeignKey,
Integer,
MetaData,
Numeric,
String,
Text,
)
from sqlalchemy.orm import (
DeclarativeBase,
Mapped,
mapped_column,
MappedAsDataclass,
relationship,
)
class Base(MappedAsDataclass, DeclarativeBase):
metadata = MetaData(
schema="pfbudget",
naming_convention={
"ix": "ix_%(column_0_label)s",
"uq": "uq_%(table_name)s_%(column_0_name)s",
"ck": "ck_%(table_name)s_`%(constraint_name)s`",
"fk": "fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s",
"pk": "pk_%(table_name)s",
},
)
type_annotation_map = {
enum.Enum: Enum(enum.Enum, create_constraint=True, inherit_schema=True),
}
@dataclass
class Serializable:
def serialize(self) -> Mapping[str, Any]:
return dict(class_=type(self).__name__)
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
raise NotImplementedError
class AccountType(enum.Enum):
checking = enum.auto()
savings = enum.auto()
investment = enum.auto()
mealcard = enum.auto()
VISA = enum.auto()
MASTERCARD = enum.auto()
class Bank(Base, Serializable):
__tablename__ = "banks"
name: Mapped[str] = mapped_column(primary_key=True)
BIC: Mapped[str] = mapped_column(String(8))
type: Mapped[AccountType]
nordigen: Mapped[Optional[NordigenBank]] = relationship(default=None, lazy="joined")
def serialize(self) -> Mapping[str, Any]:
nordigen = None
if self.nordigen:
nordigen = {
"bank_id": self.nordigen.bank_id,
"requisition_id": self.nordigen.requisition_id,
"invert": self.nordigen.invert,
}
return super().serialize() | dict(
name=self.name,
BIC=self.BIC,
type=self.type.name,
nordigen=nordigen,
)
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
bank = cls(map["name"], map["BIC"], map["type"])
if map["nordigen"]:
bank.nordigen = NordigenBank(**map["nordigen"])
return bank
bankfk = Annotated[str, mapped_column(Text, ForeignKey(Bank.name))]
idpk = Annotated[
int,
mapped_column(
BigInteger().with_variant(Integer, "sqlite"),
primary_key=True,
autoincrement=True,
),
]
money = Annotated[decimal.Decimal, mapped_column(Numeric(16, 2))]
class Transaction(Base, Serializable):
__tablename__ = "transactions"
id: Mapped[idpk] = mapped_column(init=False)
date: Mapped[dt.date]
description: Mapped[Optional[str]]
amount: Mapped[money]
split: Mapped[bool] = mapped_column(default=False)
category: Mapped[Optional[TransactionCategory]] = relationship(
back_populates="transaction", default=None, lazy="joined"
)
tags: Mapped[set[TransactionTag]] = relationship(default_factory=set, lazy="joined")
note: Mapped[Optional[Note]] = relationship(
cascade="all, delete-orphan", passive_deletes=True, default=None, lazy="joined"
)
type: Mapped[str] = mapped_column(init=False)
__mapper_args__ = {"polymorphic_on": "type", "polymorphic_identity": "transaction"}
def serialize(self) -> Mapping[str, Any]:
category = None
if self.category:
category = {
"name": self.category.name,
"selector": self.category.selector.name,
}
return super().serialize() | dict(
id=self.id,
date=self.date.isoformat(),
description=self.description,
amount=str(self.amount),
split=self.split,
category=category if category else None,
tags=[{"tag": tag.tag} for tag in self.tags],
note={"note": self.note.note} if self.note else None,
type=self.type,
)
@classmethod
def deserialize(
cls, map: Mapping[str, Any]
) -> Transaction | BankTransaction | MoneyTransaction | SplitTransaction:
match map["type"]:
case "bank":
return BankTransaction.deserialize(map)
case "money":
return MoneyTransaction.deserialize(map)
case "split":
return SplitTransaction.deserialize(map)
case _:
return cls._deserialize(map)
@classmethod
def _deserialize(cls, map: Mapping[str, Any]) -> Self:
category = None
if map["category"]:
category = TransactionCategory(map["category"]["name"])
if map["category"]["selector"]:
category.selector = map["category"]["selector"]
tags: set[TransactionTag] = set()
if map["tags"]:
tags = set(TransactionTag(t["tag"]) for t in map["tags"])
note = None
if map["note"]:
note = Note(map["note"]["note"])
result = cls(
dt.date.fromisoformat(map["date"]),
map["description"],
map["amount"],
map["split"],
category,
tags,
note,
)
if map["id"]:
result.id = map["id"]
return result
def __lt__(self, other: Transaction):
return self.date < other.date
idfk = Annotated[
int, mapped_column(BigInteger, ForeignKey(Transaction.id, ondelete="CASCADE"))
]
class BankTransaction(Transaction):
bank: Mapped[Optional[bankfk]] = mapped_column(default=None)
__mapper_args__ = {"polymorphic_identity": "bank", "polymorphic_load": "inline"}
def serialize(self) -> Mapping[str, Any]:
map = cast(MutableMapping[str, Any], super().serialize())
map["bank"] = self.bank
return map
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
transaction = cls._deserialize(map)
transaction.bank = map["bank"]
return transaction
class MoneyTransaction(Transaction):
__mapper_args__ = {"polymorphic_identity": "money"}
def serialize(self) -> Mapping[str, Any]:
return super().serialize()
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
return cls._deserialize(map)
class SplitTransaction(Transaction):
original: Mapped[Optional[idfk]] = mapped_column(default=None)
__mapper_args__ = {"polymorphic_identity": "split", "polymorphic_load": "inline"}
def serialize(self) -> Mapping[str, Any]:
map = cast(MutableMapping[str, Any], super().serialize())
map["original"] = self.original
return map
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
transaction = cls._deserialize(map)
transaction.original = map["original"]
return transaction
class CategoryGroup(Base, Serializable):
__tablename__ = "category_groups"
name: Mapped[str] = mapped_column(primary_key=True)
def serialize(self) -> Mapping[str, Any]:
return super().serialize() | dict(name=self.name)
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
return cls(map["name"])
class Category(Base, Serializable, repr=False):
__tablename__ = "categories"
name: Mapped[str] = mapped_column(primary_key=True)
group: Mapped[Optional[str]] = mapped_column(
ForeignKey(CategoryGroup.name), default=None
)
rules: Mapped[list[CategoryRule]] = relationship(
cascade="all, delete-orphan",
passive_deletes=True,
default_factory=list,
lazy="joined",
)
schedule: Mapped[Optional[CategorySchedule]] = relationship(
cascade="all, delete-orphan", passive_deletes=True, default=None, lazy="joined"
)
def serialize(self) -> Mapping[str, Any]:
rules: Sequence[Mapping[str, Any]] = []
for rule in self.rules:
rules.append(
{
"start": rule.start.isoformat() if rule.start else None,
"end": rule.end.isoformat() if rule.end else None,
"description": rule.description,
"regex": rule.regex,
"bank": rule.bank,
"min": str(rule.min) if rule.min is not None else None,
"max": str(rule.max) if rule.max is not None else None,
}
)
schedule = None
if self.schedule:
schedule = {
"period": self.schedule.period.name if self.schedule.period else None,
"period_multiplier": self.schedule.period_multiplier,
"amount": self.schedule.amount,
}
return super().serialize() | dict(
name=self.name,
group=self.group,
rules=rules,
schedule=schedule,
)
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
rules: list[CategoryRule] = []
for rule in map["rules"]:
rules.append(
CategoryRule(
dt.date.fromisoformat(rule["start"]) if rule["start"] else None,
dt.date.fromisoformat(rule["end"]) if rule["end"] else None,
rule["description"],
rule["regex"],
rule["bank"],
rule["min"],
rule["max"],
)
)
return cls(
map["name"],
map["group"],
rules,
CategorySchedule(**map["schedule"]) if map["schedule"] else None,
)
def __repr__(self) -> str:
return (
f"Category(name={self.name}, group={self.group}, #rules={len(self.rules)},"
f" schedule={self.schedule})"
)
catfk = Annotated[
str,
mapped_column(ForeignKey(Category.name, ondelete="CASCADE")),
]
class CategorySelector(enum.Enum):
unknown = enum.auto()
nullifier = enum.auto()
vacations = enum.auto()
rules = enum.auto()
algorithm = enum.auto()
manual = enum.auto()
class TransactionCategory(Base):
__tablename__ = "transactions_categorized"
id: Mapped[idfk] = mapped_column(primary_key=True, init=False)
name: Mapped[catfk]
selector: Mapped[CategorySelector] = mapped_column(default=CategorySelector.unknown)
transaction: Mapped[Transaction] = relationship(
back_populates="category", init=False, compare=False
)
class Note(Base):
__tablename__ = "notes"
id: Mapped[idfk] = mapped_column(primary_key=True, init=False)
note: Mapped[str]
class NordigenBank(Base):
__tablename__ = "banks_nordigen"
name: Mapped[bankfk] = mapped_column(primary_key=True, init=False)
bank_id: Mapped[Optional[str]]
requisition_id: Mapped[Optional[str]]
invert: Mapped[Optional[bool]] = mapped_column(default=None)
class Tag(Base, Serializable):
__tablename__ = "tags"
name: Mapped[str] = mapped_column(primary_key=True)
rules: Mapped[list[TagRule]] = relationship(
cascade="all, delete-orphan",
passive_deletes=True,
default_factory=list,
lazy="joined",
)
def serialize(self) -> Mapping[str, Any]:
rules: Sequence[Mapping[str, Any]] = []
for rule in self.rules:
rules.append(
{
"start": rule.start,
"end": rule.end,
"description": rule.description,
"regex": rule.regex,
"bank": rule.bank,
"min": str(rule.min) if rule.min is not None else None,
"max": str(rule.max) if rule.max is not None else None,
}
)
return super().serialize() | dict(name=self.name, rules=rules)
@classmethod
def deserialize(cls, map: Mapping[str, Any]) -> Self:
rules: list[TagRule] = []
for rule in map["rules"]:
rules.append(
TagRule(
dt.date.fromisoformat(rule["start"]) if rule["start"] else None,
dt.date.fromisoformat(rule["end"]) if rule["end"] else None,
rule["description"],
rule["regex"],
rule["bank"],
rule["min"],
rule["max"],
)
)
return cls(map["name"], rules)
class TransactionTag(Base, unsafe_hash=True):
__tablename__ = "transactions_tagged"
id: Mapped[idfk] = mapped_column(primary_key=True, init=False)
tag: Mapped[str] = mapped_column(ForeignKey(Tag.name), primary_key=True)
class SchedulePeriod(enum.Enum):
daily = enum.auto()
weekly = enum.auto()
monthly = enum.auto()
yearly = enum.auto()
class CategorySchedule(Base):
__tablename__ = "category_schedules"
name: Mapped[catfk] = mapped_column(primary_key=True, init=False)
period: Mapped[Optional[SchedulePeriod]]
period_multiplier: Mapped[Optional[int]]
amount: Mapped[Optional[int]]
class Link(Base):
__tablename__ = "links"
original: Mapped[idfk] = mapped_column(primary_key=True)
link: Mapped[idfk] = mapped_column(primary_key=True)
class Rule(Base):
__tablename__ = "rules"
id: Mapped[idpk] = mapped_column(init=False)
start: Mapped[Optional[dt.date]] = mapped_column(default=None)
end: Mapped[Optional[dt.date]] = mapped_column(default=None)
description: Mapped[Optional[str]] = mapped_column(default=None)
regex: Mapped[Optional[str]] = mapped_column(default=None)
bank: Mapped[Optional[str]] = mapped_column(default=None)
min: Mapped[Optional[money]] = mapped_column(default=None)
max: Mapped[Optional[money]] = mapped_column(default=None)
type: Mapped[str] = mapped_column(init=False)
__mapper_args__ = {
"polymorphic_identity": "rule",
"polymorphic_on": "type",
}
def matches(self, t: BankTransaction) -> bool:
valid = None
if self.regex:
valid = re.compile(self.regex, re.IGNORECASE)
ops = (
Rule.exists(self.start, lambda r: t.date >= r),
Rule.exists(self.end, lambda r: t.date <= r),
Rule.exists(self.description, lambda r: r == t.description),
Rule.exists(
valid,
lambda r: r.search(t.description) if t.description else False,
),
Rule.exists(self.bank, lambda r: r == t.bank),
Rule.exists(self.min, lambda r: t.amount >= r),
Rule.exists(self.max, lambda r: t.amount <= r),
)
if all(ops):
return True
return False
@staticmethod
def exists(r: Optional[Any], op: Callable[[Any], bool]) -> bool:
return op(r) if r is not None else True
class CategoryRule(Rule):
__tablename__ = "category_rules"
id: Mapped[int] = mapped_column(
BigInteger,
ForeignKey(Rule.id, ondelete="CASCADE"),
primary_key=True,
init=False,
)
name: Mapped[catfk] = mapped_column(init=False)
__mapper_args__ = {
"polymorphic_identity": "category_rule",
"polymorphic_load": "selectin",
}
class TagRule(Rule):
__tablename__ = "tag_rules"
id: Mapped[int] = mapped_column(
BigInteger,
ForeignKey(Rule.id, ondelete="CASCADE"),
primary_key=True,
init=False,
)
tag: Mapped[str] = mapped_column(
ForeignKey(Tag.name, ondelete="CASCADE"), init=False
)
__mapper_args__ = {
"polymorphic_identity": "tag_rule",
"polymorphic_load": "selectin",
}
class Nordigen(Base):
__tablename__ = "nordigen"
type: Mapped[str] = mapped_column(primary_key=True)
token: Mapped[str]
expires: Mapped[dt.datetime]

View File

@ -1,4 +1,3 @@
from dataclasses import dataclass
from decimal import Decimal
CREATE_TRANSACTIONS_TABLE = """
@ -13,27 +12,7 @@ CREATE TABLE IF NOT EXISTS "transactions" (
);
"""
@dataclass
class DbTransaction:
date: str
description: str
bank: str
value: Decimal
category: str
original: str
comments: str
def tuple(self) -> tuple:
return (
self.date,
self.description,
self.bank,
self.value,
self.category,
)
DbTransaction = tuple[str, str | None, str, Decimal, str | None, str | None, str | None]
DbTransactions = list[DbTransaction]
CREATE_BACKUPS_TABLE = """
@ -46,39 +25,13 @@ CREATE TABLE IF NOT EXISTS backups (
CREATE_BANKS_TABLE = """
CREATE TABLE IF NOT EXISTS banks (
name TEXT NOT NULL PRIMARY KEY,
bic TEXT,
nordigen_id TEXT,
nordigen_name TEXT,
requisition_id TEXT,
requisition TEXT,
invert INTEGER,
offset INTEGER
description TEXT
)
"""
@dataclass
class DbBank:
name: str
bic: str
nordigen_id: str
nordigen_name: str
requisition_id: str
invert: bool = False
offset: int = 0
def tuple(self):
return (
self.name,
self.bic,
self.nordigen_id,
self.nordigen_name,
self.requisition_id,
int(self.invert),
self.offset,
)
DbBanks = list[DbBank]
Bank = tuple[str, str, bool]
ADD_TRANSACTION = """
INSERT INTO transactions (date, description, bank, value, category) values (?,?,?,?,?)
@ -141,22 +94,10 @@ ORDER BY date ASC
"""
ADD_BANK = """
INSERT INTO banks (name, bic, nordigen_id, nordigen_name, requisition_id, invert)
values (?,?,?,?,?,?)
INSERT INTO banks (name, requisition, invert, description) values (?,?,?,?)
"""
DELETE_BANK = """
DELETE FROM banks
WHERE name = (?)
"""
SELECT_BANK = """
SELECT *
FROM banks
WHERE {} = (?)
"""
SELECT_BANKS = """
SELECT *
FROM banks
"""

View File

@ -1,212 +0,0 @@
from __future__ import annotations
from decimal import Decimal
import csv
import datetime
import logging
import logging.config
import pathlib
import sqlite3
from pfbudget.common.types import Transaction
import pfbudget.db.schema as Q
if not pathlib.Path("logs").is_dir():
pathlib.Path("logs").mkdir()
logging.config.fileConfig("logging.conf")
logger = logging.getLogger("pfbudget.transactions")
sqlite3.register_adapter(Decimal, lambda d: float(d))
__DB_NAME = "data.db"
class DatabaseClient:
"""SQLite DB connection manager"""
__EXPORT_DIR = "export"
def __init__(self, db: str):
self.db = db
def __execute(self, query: str, params: tuple = None) -> list | None:
ret = None
try:
con = sqlite3.connect(self.db)
with con:
if params:
ret = con.execute(query, params).fetchall()
logger.debug(f"[{self.db}] < {query}{params}")
else:
ret = con.execute(query).fetchall()
logger.debug(f"[{self.db}] < {query}")
if ret:
logger.debug(f"[{self.db}] > {ret}")
except sqlite3.Error:
logger.exception(f"Error while executing [{self.db}] < {query}")
finally:
con.close()
return ret
def __executemany(self, query: str, list_of_params: list[tuple]) -> list | None:
ret = None
try:
con = sqlite3.connect(self.db)
with con:
ret = con.executemany(query, list_of_params).fetchall()
logger.debug(f"[{self.db}] < {query}{list_of_params}")
except sqlite3.Error:
logger.exception(
f"Error while executing [{self.db}] < {query} {list_of_params}"
)
finally:
con.close()
return ret
def __create_tables(self, tables: tuple[tuple]):
for table_name, query in tables:
logger.info(f"Creating table {table_name} if it doesn't exist already")
self.__execute(query)
def init(self):
logging.info(f"Initializing {self.db} database")
self.__create_tables(
(
("transactions", Q.CREATE_TRANSACTIONS_TABLE),
("backups", Q.CREATE_BACKUPS_TABLE),
("banks", Q.CREATE_BANKS_TABLE),
)
)
"""Transaction table methods"""
def select_all(self) -> list[Transaction] | None:
logger.info(f"Reading all transactions from {self.db}")
transactions = self.__execute("SELECT * FROM transactions")
if transactions:
return [Transaction(t) for t in transactions]
return None
def insert_transaction(self, transaction: Transaction):
logger.info(f"Adding {transaction} into {self.db}")
self.__execute(Q.ADD_TRANSACTION, (transaction.to_list(),))
def insert_transactions(self, transactions: Q.DbTransactions):
logger.info(f"Adding {len(transactions)} into {self.db}")
self.__executemany(Q.ADD_TRANSACTION, [t.tuple() for t in transactions])
def update_category(self, transaction: Transaction):
logger.info(f"Update {transaction} category")
self.__execute(Q.UPDATE_CATEGORY, transaction.update_category())
def update_categories(self, transactions: list[Transaction]):
logger.info(f"Update {len(transactions)} transactions' categories")
self.__executemany(
Q.UPDATE_CATEGORY,
[transaction.update_category() for transaction in transactions],
)
def get_duplicated_transactions(self) -> list[Transaction] | None:
logger.info("Get duplicated transactions")
transactions = self.__execute(Q.DUPLICATED_TRANSACTIONS)
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_sorted_transactions(self) -> list[Transaction] | None:
logger.info("Get transactions sorted by date")
transactions = self.__execute(Q.SORTED_TRANSACTIONS)
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_daterange(self, start: datetime, end: datetime) -> list[Transaction] | None:
logger.info(f"Get transactions from {start} to {end}")
transactions = self.__execute(Q.SELECT_TRANSACTIONS_BETWEEN_DATES, (start, end))
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_category(self, value: str) -> list[Transaction] | None:
logger.info(f"Get transactions where category = {value}")
transactions = self.__execute(Q.SELECT_TRANSACTIONS_BY_CATEGORY, (value,))
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_daterange_category(
self, start: datetime, end: datetime, category: str
) -> list[Transaction] | None:
logger.info(
f"Get transactions from {start} to {end} where category = {category}"
)
transactions = self.__execute(
Q.SELECT_TRANSACTIONS_BETWEEN_DATES_WITH_CATEGORY, (start, end, category)
)
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_by_period(self, period: str) -> list[Transaction] | None:
logger.info(f"Get transactions by {period}")
transactions = self.__execute(Q.SELECT_TRANSACTION_BY_PERIOD, period)
if transactions:
return [Transaction(t) for t in transactions]
return None
def get_uncategorized_transactions(self) -> list[Transaction] | None:
logger.debug("Get uncategorized transactions")
return self.get_category(None)
def get_daterange_uncategorized_transactions(self, start: datetime, end: datetime):
logger.debug("Get uncategorized transactions from {start} to {end}")
return self.get_daterange_category(start, end, None)
def get_daterage_without(
self, start: datetime, end: datetime, *categories: str
) -> list[Transaction] | None:
logger.info(f"Get transactions between {start} and {end} not in {categories}")
query = Q.SELECT_TRANSACTIONS_BETWEEN_DATES_WITHOUT_CATEGORIES.format(
"(" + ", ".join("?" for _ in categories) + ")"
)
transactions = self.__execute(query, (start, end, *categories))
if transactions:
return [Transaction(t) for t in transactions]
return None
def export(self):
filename = pathlib.Path(
"@".join([self.db, datetime.datetime.now().isoformat()])
).with_suffix(".csv")
transactions = self.select_all()
logger.info(f"Exporting {self.db} into {filename}")
if not (dir := pathlib.Path(self.__EXPORT_DIR)).is_dir():
dir.mkdir()
with open(dir / filename, "w", newline="") as f:
csv.writer(f, delimiter="\t").writerows(transactions)
"""Banks table methods"""
def register_bank(self, bank: Q.DbBank):
logger.info(f"Registering {bank}")
self.__execute(Q.ADD_BANK, bank.tuple())
def unregister_bank(self, bank: str):
logger.info(f"Unregistering {bank}")
self.__execute(Q.DELETE_BANK, (bank,))
def get_bank(self, key: str, value: str) -> Q.DbBank | None:
logger.info(f"Get bank with {key} = {value}")
bank = self.__execute(Q.SELECT_BANK.format(key), (value, ))
if bank:
return Q.DbBank(*bank[0])
def get_banks(self) -> Q.DbBanks:
logger.info("Get all banks")
banks = self.__execute(Q.SELECT_BANKS)
if banks:
return [Q.DbBank(*bank) for bank in banks]
return []

View File

@ -1,18 +0,0 @@
class ExtractError(Exception):
pass
class BankError(ExtractError):
pass
class PSD2ClientError(ExtractError):
pass
class CredentialsError(PSD2ClientError):
pass
class DownloadError(PSD2ClientError):
pass

View File

@ -1,13 +0,0 @@
from abc import ABC, abstractmethod
from datetime import date
from typing import Sequence
from pfbudget.db.model import Bank, Transaction
class Extractor(ABC):
@abstractmethod
def extract(
self, bank: Bank, start: date = date.min, end: date = date.max
) -> Sequence[Transaction]:
raise NotImplementedError

View File

@ -1,154 +0,0 @@
from dataclasses import dataclass
import datetime as dt
import dotenv
import nordigen
import os
import requests
import time
from typing import Any, Optional, Sequence, Tuple
import uuid
from pfbudget.db.client import Client
from pfbudget.db.model import Nordigen
from .exceptions import CredentialsError, DownloadError
dotenv.load_dotenv()
@dataclass
class NordigenCredentials:
id: str
key: str
def valid(self) -> bool:
return len(self.id) != 0 and len(self.key) != 0
class NordigenClient:
redirect_url = "https://murta.dev"
def __init__(self, credentials: NordigenCredentials, client: Client):
if not credentials.valid():
raise CredentialsError
self.__client = nordigen.NordigenClient(
secret_key=credentials.key, secret_id=credentials.id, timeout=5
)
self.__client.token = self.__token(client)
def download(self, requisition_id) -> Sequence[dict[str, Any]]:
try:
requisition = self.__client.requisition.get_requisition_by_id(
requisition_id
)
print(requisition)
except requests.HTTPError as e:
raise DownloadError(e)
transactions = []
for acc in requisition["accounts"]:
account = self.__client.account_api(acc)
retries = 0
downloaded = None
while retries < 3:
try:
downloaded = account.get_transactions()
break
except requests.ReadTimeout:
retries += 1
print(f"Request #{retries} timed-out, retrying in 1s")
time.sleep(1)
if not downloaded:
print(f"Couldn't download transactions for {account.get_metadata()}")
continue
if (
"transactions" not in downloaded
or "booked" not in downloaded["transactions"]
):
print(f"{account} doesn't have transactions")
continue
transactions.extend(downloaded["transactions"]["booked"])
return transactions
def dump(self, bank, downloaded):
# @TODO log received JSON
pass
def new_requisition(
self,
institution_id: str,
max_historical_days: Optional[int] = None,
access_valid_for_days: Optional[int] = None,
) -> Tuple[str, str]:
kwargs = {
"max_historical_days": max_historical_days,
"access_valid_for_days": access_valid_for_days,
}
kwargs = {k: v for k, v in kwargs.items() if v is not None}
req = self.__client.initialize_session(
self.redirect_url, institution_id, str(uuid.uuid4()), **kwargs
)
return req.link, req.requisition_id
def country_banks(self, country: str):
return self.__client.institution.get_institutions(country)
def __token(self, client: Client) -> str:
with client.session as session:
token = session.select(Nordigen)
def datetime(seconds: int) -> dt.datetime:
return dt.datetime.now() + dt.timedelta(seconds=seconds)
if not len(token):
print("First time nordigen token setup")
new = self.__client.generate_token()
session.insert(
[
Nordigen(
"access",
new["access"],
datetime(new["access_expires"]),
),
Nordigen(
"refresh",
new["refresh"],
datetime(new["refresh_expires"]),
),
]
)
return new["access"]
else:
access = next(t for t in token if t.type == "access")
refresh = next(t for t in token if t.type == "refresh")
if access.expires > dt.datetime.now():
pass
elif refresh.expires > dt.datetime.now():
new = self.__client.exchange_token(refresh.token)
access.token = new["access"]
access.expires = datetime(new["access_expires"])
else:
new = self.__client.generate_token()
access.token = new["access"]
access.expires = datetime(new["access_expires"])
refresh.token = new["refresh"]
refresh.expires = datetime(new["refresh_expires"])
return access.token
class NordigenCredentialsManager:
default = NordigenCredentials(
os.environ.get("SECRET_ID", ""),
os.environ.get("SECRET_KEY", ""),
)

View File

@ -1,38 +0,0 @@
from datetime import date
from typing import Sequence
from pfbudget.db.model import Bank, BankTransaction
from pfbudget.utils.converters import convert
from .exceptions import BankError, DownloadError, ExtractError
from .extract import Extractor
from .nordigen import NordigenClient
class PSD2Extractor(Extractor):
def __init__(self, client: NordigenClient):
self.__client = client
def extract(
self, bank: Bank, start: date = date.min, end: date = date.max
) -> Sequence[BankTransaction]:
if not bank.nordigen:
raise BankError("Bank doesn't have Nordigen info")
try:
print(f"Downloading from {bank}...")
downloaded = self.__client.download(bank.nordigen.requisition_id)
except DownloadError as e:
print(f"There was an issue downloading from {bank.name}\n{e}")
raise ExtractError(e)
self.__client.dump(bank, downloaded)
return [
t
for t in self.convert(bank, downloaded, start, end)
if start <= t.date <= end
]
def convert(self, bank, downloaded, start, end):
return [convert(t, bank) for t in downloaded]

View File

@ -1,14 +0,0 @@
from typing import Sequence
from pfbudget.db.client import Client
from pfbudget.db.model import Transaction
from .load import Loader
class DatabaseLoader(Loader):
def __init__(self, client: Client) -> None:
self.client = client
def load(self, transactions: Sequence[Transaction]) -> None:
self.client.insert(transactions)

View File

@ -1,10 +0,0 @@
from abc import ABC, abstractmethod
from typing import Sequence
from pfbudget.db.model import Transaction
class Loader(ABC):
@abstractmethod
def load(self, transactions: Sequence[Transaction]) -> None:
raise NotImplementedError

View File

View File

@ -9,7 +9,7 @@ import pfbudget.core.categories
if TYPE_CHECKING:
from pfbudget.db.sqlite import DatabaseClient
from pfbudget.db.client import DatabaseClient
groups = pfbudget.core.categories.cfg["Groups"]

View File

@ -6,7 +6,7 @@ import datetime as dt
import pfbudget.core.categories
if TYPE_CHECKING:
from pfbudget.db.sqlite import DatabaseClient
from pfbudget.db.client import DatabaseClient
def net(db: DatabaseClient, start: dt.date = dt.date.min, end: dt.date = dt.date.max):

View File

@ -1,38 +0,0 @@
from copy import deepcopy
from typing import Iterable, Sequence
from pfbudget.db.model import (
CategoryRule,
CategorySelector,
Transaction,
TransactionCategory,
TransactionTag,
)
from .transform import Transformer
class Categorizer(Transformer):
def __init__(self, rules: Iterable[CategoryRule]):
self.rules = rules
def transform(self, transactions: Sequence[Transaction]) -> Sequence[Transaction]:
result = deepcopy(transactions)
self.transform_inplace(result)
return result
def transform_inplace(self, transactions: Sequence[Transaction]) -> None:
for rule in self.rules:
for transaction in transactions:
if not rule.matches(transaction):
continue
if not transaction.category:
transaction.category = TransactionCategory(
rule.name, CategorySelector.rules
)
else:
if not transaction.tags:
transaction.tags = {TransactionTag(rule.name)}
else:
transaction.tags.add(TransactionTag(rule.name))

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@ -1,2 +0,0 @@
class MoreThanOneMatchError(Exception):
pass

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@ -1,96 +0,0 @@
from copy import deepcopy
import datetime as dt
from typing import Iterable, Sequence
from .exceptions import MoreThanOneMatchError
from .transform import Transformer
from pfbudget.db.model import (
CategorySelector,
Transaction,
TransactionCategory,
)
class Nullifier(Transformer):
NULL_DAYS = 4
def __init__(self, rules=None):
self.rules = rules if rules else []
def transform(self, transactions: Iterable[Transaction]) -> Sequence[Transaction]:
"""transform
Find transactions that nullify each others, e.g. transfers between banks or
between bank and credit cards.
Args:
transactions (Sequence[Transaction]): sequence of transactions
Raises:
MoreThanOneMatchError: if there is more than a match for a single transation
Returns:
Sequence[Transaction]: nullified sequence of transactions
"""
result = sorted(deepcopy(transactions))
for i, transaction in enumerate(result[:-1]):
if matches := [t for t in result[i + 1 :] if self._cancels(transaction, t)]:
if len(matches) > 1:
raise MoreThanOneMatchError(f"{transaction} -> {matches}")
match = matches[0]
transaction = self._nullify(transaction)
match = self._nullify(match)
return result
def transform_inplace(self, transactions: Iterable[Transaction]) -> None:
"""transform_inplace
Find transactions that nullify each others, e.g. transfers between banks or
between bank and credit cards.
Args:
transactions (Sequence[Transaction]): sequence of transactions that will be
modified inplace
Raises:
MoreThanOneMatchError: if there is more than a match for a single transation
"""
for transaction in sorted(transactions):
if matches := [t for t in transactions if self._cancels(transaction, t)]:
if len(matches) > 1:
raise MoreThanOneMatchError(f"{transaction} -> {matches}")
match = matches[0]
self._nullify(transaction)
self._nullify(match)
def _cancels(self, transaction: Transaction, cancel: Transaction):
return (
transaction.date
<= cancel.date
<= transaction.date + dt.timedelta(days=self.NULL_DAYS)
and cancel != transaction
and cancel.bank != transaction.bank
and cancel.amount == -transaction.amount
# even though this class receives uncategorized transactions, they may have
# already been nullified before reaching here
and not transaction.category
and (not cancel.category or cancel.category.name != "null")
and (
any(r.matches(transaction) for r in self.rules) if self.rules else True
)
and (any(r.matches(cancel) for r in self.rules) if self.rules else True)
)
def _nullify(self, transaction: Transaction) -> Transaction:
transaction.category = TransactionCategory(
"null", selector=CategorySelector.nullifier
)
return transaction

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@ -1,30 +0,0 @@
from copy import deepcopy
from typing import Iterable, Sequence
from pfbudget.db.model import TagRule, Transaction, TransactionTag
from .transform import Transformer
class Tagger(Transformer):
def __init__(self, rules: Iterable[TagRule]):
self.rules = rules
def transform(self, transactions: Sequence[Transaction]) -> Sequence[Transaction]:
result = deepcopy(transactions)
self.transform_inplace(result)
return result
def transform_inplace(self, transactions: Sequence[Transaction]) -> None:
for rule in self.rules:
for transaction in transactions:
if rule.tag in [tag.tag for tag in transaction.tags]:
continue
if not rule.matches(transaction):
continue
if not transaction.tags:
transaction.tags = {TransactionTag(rule.tag)}
else:
transaction.tags.add(TransactionTag(rule.tag))

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@ -1,14 +0,0 @@
from abc import ABC, abstractmethod
from typing import Sequence
from pfbudget.db.model import Transaction
class Transformer(ABC):
@abstractmethod
def transform(self, transactions: Sequence[Transaction]) -> Sequence[Transaction]:
raise NotImplementedError
@abstractmethod
def transform_inplace(self, transactions: Sequence[Transaction]) -> None:
raise NotImplementedError

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@ -1,31 +1,44 @@
import datetime as dt
import functools
from typing import Any
from functools import singledispatch
from pfbudget.common.types import TransactionError
import pfbudget.db.model as t
from .utils import parse_decimal
from pfbudget.core.transactions import Transaction, TransactionError, Transactions
from pfbudget.db.schema import DbTransaction, DbTransactions
@functools.singledispatch
def convert(t) -> Any:
print("No converter has been found")
@singledispatch
def convert(t):
pass
@convert.register
def _(json: dict, bank: t.Bank) -> t.BankTransaction | None:
i = -1 if bank.nordigen and bank.nordigen.invert else 1
try:
transaction = t.BankTransaction(
date=dt.date.fromisoformat(json["bookingDate"]),
description=json["remittanceInformationUnstructured"],
bank=bank.name,
amount=i * parse_decimal(json["transactionAmount"]["amount"]),
)
# transaction.date += timedelta(days=bank.offset)
return transaction
def _(t: Transaction) -> DbTransaction:
return (t.date, t.description, t.bank, t.value, t.category)
def convert_dbtransaction(db) -> Transaction:
try:
return Transaction(db)
except TransactionError:
print(f"{json} is in the wrong format")
print(f"{db} is in the wrong format")
convert.register(type(DbTransaction), convert_dbtransaction)
def convert_transactions(ts: Transactions) -> DbTransactions:
try:
return [convert(t) for t in ts]
except TransactionError:
print(f"{ts} is in the wrong format")
convert.register(type(Transactions), convert_transactions)
def convert_dbtransactions(ts: DbTransactions) -> Transactions:
try:
return [convert(t) for t in ts]
except TransactionError:
print(f"{ts} is in the wrong format")
convert.register(type(DbTransactions), convert_dbtransactions)

View File

@ -59,21 +59,21 @@ def find_credit_institution(fn, banks, creditcards):
return bank, cc
def parse_args_period(args: dict):
def parse_args_period(args):
start, end = date.min, date.max
if args["start"]:
start = datetime.strptime(args["start"][0], "%Y/%m/%d").date()
if args.start:
start = datetime.strptime(args.start[0], "%Y/%m/%d").date()
if args["end"]:
end = datetime.strptime(args["end"][0], "%Y/%m/%d").date()
if args.end:
end = datetime.strptime(args.end[0], "%Y/%m/%d").date()
if args["interval"]:
start = datetime.strptime(args["interval"][0], "%Y/%m/%d").date()
end = datetime.strptime(args["interval"][1], "%Y/%m/%d").date()
if args.interval:
start = datetime.strptime(args.interval[0], "%Y/%m/%d").date()
end = datetime.strptime(args.interval[1], "%Y/%m/%d").date()
if args["year"]:
start = datetime.strptime(args["year"][0], "%Y").date()
end = datetime.strptime(str(int(args["year"][0]) + 1), "%Y").date() - timedelta(
if args.year:
start = datetime.strptime(args.year[0], "%Y").date()
end = datetime.strptime(str(int(args.year[0]) + 1), "%Y").date() - timedelta(
days=1
)

1411
poetry.lock generated

File diff suppressed because it is too large Load Diff

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@ -1,43 +0,0 @@
[tool.poetry]
name = "pf-budget"
version = "0.2.0"
description = "A budgeting tool for those who want full control and transparency over their finances."
authors = ["Luís Murta <luis@murta.dev>"]
license = "GPL-3.0-or-later"
readme = "README.md"
packages = [{include = "pfbudget"}]
[tool.poetry.dependencies]
python = "^3.11"
codetiming = "^1.4.0"
matplotlib = "^3.7.1"
nordigen = "^1.3.1"
psycopg2 = "^2.9.6"
python-dateutil = "^2.8.2"
python-dotenv = "^1.0.0"
pyyaml = "^6.0"
sqlalchemy = "^2.0.9"
[tool.poetry.group.dev.dependencies]
alembic = "^1.10.3"
black = "^23.3.0"
flake8 = "^6.0.0"
mypy = "^1.2.0"
pytest = "^7.3.0"
pytest-cov = "^4.0.0"
pytest-mock = "^3.10.0"
sqlalchemy = {extras = ["mypy"], version = "^2.0.9"}
ruff = "^0.0.267"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
[tool.pytest.ini_options]
pythonpath = ". tests"
[pytest]
mock_use_standalone_module = true
[tool.mypy]
plugins = "sqlalchemy.ext.mypy.plugin"

2
requirements.txt Normal file
View File

@ -0,0 +1,2 @@
matplotlib==3.3.4
PyYAML==5.4.1

4
setup.cfg Normal file
View File

@ -0,0 +1,4 @@
[flake8]
ignore = E203, E501, W503
max-line-length = 88
enable-extensions = TC, TC1

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@ -1,8 +0,0 @@
from pfbudget.db.model import AccountType, Bank, NordigenBank
checking = Bank(
"bank", "BANK", AccountType.checking, NordigenBank("bank_id", "requisition_id")
)
cc = Bank("cc", "CC", AccountType.MASTERCARD)

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@ -1,21 +0,0 @@
from decimal import Decimal
from pfbudget.db.model import Category, CategoryGroup, CategoryRule, Tag, TagRule
category_null = Category("null")
categorygroup1 = CategoryGroup("group#1")
category1 = Category(
"cat#1",
"group#1",
rules=[CategoryRule(description="desc#1", max=Decimal(0))],
)
category2 = Category(
"cat#2",
"group#1",
rules=[CategoryRule(description="desc#1", max=Decimal(0))],
)
tag_1 = Tag("tag#1", rules=[TagRule(description="desc#1", max=Decimal(0))])

View File

@ -1,22 +0,0 @@
import datetime as dt
from pfbudget.db.client import Client
from pfbudget.db.model import Base, Nordigen
class MockClient(Client):
now = dt.datetime.now()
def __init__(self):
url = "sqlite://"
super().__init__(
url, execution_options={"schema_translate_map": {"pfbudget": None}}
)
Base.metadata.create_all(self.engine)
self.insert(
[
Nordigen("access", "token#1", self.now + dt.timedelta(days=1)),
Nordigen("refresh", "token#2", self.now + dt.timedelta(days=30)),
]
)

View File

@ -1,146 +0,0 @@
from typing import Any, Dict, List, Optional
import nordigen
from nordigen.types.http_enums import HTTPMethod
from nordigen.types.types import RequisitionDto, TokenType
from pfbudget.extract.nordigen import NordigenCredentials
id = "3fa85f64-5717-4562-b3fc-2c963f66afa6"
accounts_id = {
"id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
"created": "2023-04-13T21:45:59.957Z",
"last_accessed": "2023-04-13T21:45:59.957Z",
"iban": "string",
"institution_id": "string",
"status": "DISCOVERED",
"owner_name": "string",
}
# The downloaded transactions match the simple and simple_transformed mocks
accounts_id_transactions = {
"transactions": {
"booked": [
{
"transactionId": "string",
"debtorName": "string",
"debtorAccount": {"iban": "string"},
"transactionAmount": {"currency": "string", "amount": "328.18"},
"bankTransactionCode": "string",
"bookingDate": "2023-01-14",
"valueDate": "2023-01-15",
"remittanceInformationUnstructured": "string",
},
{
"transactionId": "string",
"transactionAmount": {"currency": "string", "amount": "947.26"},
"bankTransactionCode": "string",
"bookingDate": "2023-02-14",
"valueDate": "2023-02-15",
"remittanceInformationUnstructured": "string",
},
],
"pending": [
{
"transactionAmount": {"currency": "string", "amount": "float"},
"valueDate": "2023-04-14",
"remittanceInformationUnstructured": "string",
}
],
}
}
requisitions = {
"count": 123,
"next": "https://ob.nordigen.com/api/v2/requisitions/?limit=100&offset=0",
"previous": "https://ob.nordigen.com/api/v2/requisitions/?limit=100&offset=0",
"results": [
{
"id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
"created": "2023-04-13T21:43:45.027Z",
"redirect": "string",
"status": "CR",
"institution_id": "string",
"agreement": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
"reference": "string",
"accounts": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"user_language": "strin",
"link": "https://ob.nordigen.com/psd2/start/3fa85f64-5717-4562-b3fc-2c963f66afa6/{$INSTITUTION_ID}",
"ssn": "string",
"account_selection": False,
"redirect_immediate": False,
}
],
}
requisitions_id = {
"id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
"created": "2023-04-13T21:45:12.336Z",
"redirect": "string",
"status": "CR",
"institution_id": "string",
"agreement": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
"reference": "string",
"accounts": ["3fa85f64-5717-4562-b3fc-2c963f66afa6"],
"user_language": "strin",
"link": "https://ob.nordigen.com/psd2/start/3fa85f64-5717-4562-b3fc-2c963f66afa6/{$INSTITUTION_ID}",
"ssn": "string",
"account_selection": False,
"redirect_immediate": False,
}
credentials = NordigenCredentials("ID", "KEY")
class MockNordigenClient(nordigen.NordigenClient):
def __init__(
self,
secret_key: str = "ID",
secret_id: str = "KEY",
timeout: int = 10,
base_url: str = "https://ob.nordigen.com/api/v2",
) -> None:
super().__init__(secret_key, secret_id, timeout, base_url)
def generate_token(self) -> TokenType:
return {
"access": "access_token",
"refresh": "refresh_token",
"access_expires": 86400,
"refresh_expires": 2592000,
}
def exchange_token(self, refresh_token: str) -> TokenType:
assert len(refresh_token) > 0, "invalid refresh token"
return {
"access": "access_token",
"refresh": "refresh_token",
"access_expires": 86400,
"refresh_expires": 2592000,
}
def request(
self,
method: HTTPMethod,
endpoint: str,
data: Optional[Dict[str, Any]] = None,
headers: Optional[Dict[str, Any]] = None,
) -> Any:
if endpoint == "requisitions/" + "requisition_id" + "/":
return requisitions_id
elif endpoint == "accounts/" + id + "/transactions/":
return accounts_id_transactions
else:
raise NotImplementedError(endpoint)
def initialize_session(
self,
redirect_uri: str,
institution_id: str,
reference_id: str,
max_historical_days: int = 90,
access_valid_for_days: int = 90,
access_scope: List[str] | None = None,
) -> RequisitionDto:
return RequisitionDto("http://random", "requisition_id")

View File

@ -1,73 +0,0 @@
from datetime import date
from decimal import Decimal
from pfbudget.db.model import (
BankTransaction,
CategorySelector,
MoneyTransaction,
Note,
SplitTransaction,
Transaction,
TransactionCategory,
TransactionTag,
)
# The simple and simple_transformed match the nordigen mocks
simple = [
BankTransaction(date(2023, 1, 14), "string", Decimal("328.18"), bank="bank"),
BankTransaction(date(2023, 2, 14), "string", Decimal("947.26"), bank="bank"),
]
simple_transformed = [
BankTransaction(
date(2023, 1, 14),
"",
Decimal("328.18"),
bank="bank",
category=TransactionCategory("category#1", CategorySelector.algorithm),
),
BankTransaction(
date(2023, 2, 14),
"",
Decimal("947.26"),
bank="bank",
category=TransactionCategory("category#2", CategorySelector.algorithm),
),
]
bank = [
BankTransaction(date(2023, 1, 1), "", Decimal("-10"), bank="bank#1"),
BankTransaction(date(2023, 1, 1), "", Decimal("-10"), bank="bank#2"),
]
money = [
MoneyTransaction(date(2023, 1, 1), "", Decimal("-10")),
MoneyTransaction(date(2023, 1, 1), "", Decimal("-10")),
]
__original = Transaction(date(2023, 1, 1), "", Decimal("-10"), split=True)
__original.id = 9000
split = [
__original,
SplitTransaction(date(2023, 1, 1), "", Decimal("-5"), original=__original.id),
SplitTransaction(date(2023, 1, 1), "", Decimal("-5"), original=__original.id),
]
tagged = [
Transaction(
date(2023, 1, 1),
"",
Decimal("-10"),
tags={TransactionTag("tag#1"), TransactionTag("tag#1")},
)
]
noted = [
Transaction(
date(2023, 1, 1),
"",
Decimal("-10"),
note=Note("note#1"),
)
]

View File

@ -1,144 +0,0 @@
from pathlib import Path
from typing import Any, Sequence, Type
import pytest
from mocks import banks, categories, transactions
from mocks.client import MockClient
from pfbudget.common.types import ExportFormat
from pfbudget.core.command import (
BackupCommand,
ExportCommand,
ImportBackupCommand,
ImportCommand,
ImportFailedError,
)
from pfbudget.db.client import Client
from pfbudget.db.model import (
Bank,
BankTransaction,
Base,
Category,
CategoryGroup,
MoneyTransaction,
Note,
SplitTransaction,
Tag,
Transaction,
TransactionCategory,
TransactionTag,
)
@pytest.fixture
def client() -> Client:
return MockClient()
params = [
(transactions.simple, Transaction),
(transactions.simple_transformed, Transaction),
(transactions.bank, Transaction),
(transactions.bank, BankTransaction),
(transactions.money, Transaction),
(transactions.money, MoneyTransaction),
(transactions.split, SplitTransaction),
([banks.checking, banks.cc], Bank),
([categories.category_null, categories.category1, categories.category2], Category),
(
[
categories.categorygroup1,
categories.category_null,
categories.category1,
categories.category2,
],
CategoryGroup,
),
([categories.tag_1], Tag),
]
not_serializable = [
(transactions.simple_transformed, TransactionCategory),
(transactions.tagged, TransactionTag),
(transactions.noted, Note),
]
class TestBackup:
@pytest.mark.parametrize("input, what", params)
def test_import(self, tmp_path: Path, input: Sequence[Any], what: Type[Any]):
file = tmp_path / "test.json"
client = MockClient()
client.insert(input)
originals = client.select(what)
assert originals
command = ExportCommand(client, what, file, ExportFormat.JSON)
command.execute()
other = MockClient()
command = ImportCommand(other, what, file, ExportFormat.JSON)
command.execute()
imported = other.select(what)
assert originals == imported
command = ExportCommand(client, what, file, ExportFormat.pickle)
with pytest.raises(AttributeError):
command.execute()
command = ImportCommand(other, what, file, ExportFormat.pickle)
with pytest.raises(AttributeError):
command.execute()
@pytest.mark.parametrize("input, what", not_serializable)
def test_try_backup_not_serializable(
self, tmp_path: Path, input: Sequence[Any], what: Type[Any]
):
file = tmp_path / "test.json"
client = MockClient()
client.insert(input)
originals = client.select(what)
assert originals
command = ExportCommand(client, what, file, ExportFormat.JSON)
with pytest.raises(AttributeError):
command.execute()
other = MockClient()
command = ImportCommand(other, what, file, ExportFormat.JSON)
with pytest.raises(ImportFailedError):
command.execute()
imported = other.select(what)
assert not imported
def test_full_backup(self, tmp_path: Path):
file = tmp_path / "test.json"
client = MockClient()
client.insert([e for t in params for e in t[0]])
command = BackupCommand(client, file, ExportFormat.JSON)
command.execute()
other = MockClient()
command = ImportBackupCommand(other, file, ExportFormat.JSON)
command.execute()
def subclasses(cls: Type[Any]) -> set[Type[Any]]:
return set(cls.__subclasses__()) | {
s for c in cls.__subclasses__() for s in subclasses(c)
}
for t in [cls for cls in subclasses(Base)]:
originals = client.select(t)
imported = other.select(t)
assert originals == imported, f"{t}"

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@ -1,54 +0,0 @@
import json
from pathlib import Path
import pytest
from mocks.client import MockClient
import mocks.transactions
from pfbudget.common.types import ExportFormat
from pfbudget.core.command import ExportCommand, ImportCommand
from pfbudget.db.client import Client
from pfbudget.db.exceptions import InsertError
from pfbudget.db.model import Transaction
@pytest.fixture
def client() -> Client:
return MockClient()
class TestCommand:
def test_export_json(self, tmp_path: Path, client: Client):
file = tmp_path / "test.json"
client.insert(mocks.transactions.simple)
command = ExportCommand(client, Transaction, file, ExportFormat.JSON)
command.execute()
with open(file, newline="") as f:
result = json.load(f)
assert result == [t.serialize() for t in client.select(Transaction)]
def test_export_pickle(self, tmp_path: Path, client: Client):
file = tmp_path / "test.pickle"
command = ExportCommand(client, Transaction, file, ExportFormat.pickle)
with pytest.raises(AttributeError):
command.execute()
def test_import_json(self, tmp_path: Path, client: Client):
file = tmp_path / "test"
client.insert(mocks.transactions.simple)
command = ExportCommand(client, Transaction, file, ExportFormat.JSON)
command.execute()
# Since the transactions are already in the DB, we expect an insert error
with pytest.raises(InsertError):
command = ImportCommand(client, Transaction, file, ExportFormat.JSON)
command.execute()
def test_import_pickle(self, tmp_path: Path, client: Client):
file = tmp_path / "test"
command = ExportCommand(client, Transaction, file, ExportFormat.pickle)
with pytest.raises(AttributeError):
command.execute()

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@ -1,153 +0,0 @@
from datetime import date
from decimal import Decimal
import pytest
from mocks.client import MockClient
from pfbudget.db.client import Client
from pfbudget.db.model import (
AccountType,
Bank,
NordigenBank,
CategorySelector,
Transaction,
TransactionCategory,
)
@pytest.fixture
def client() -> Client:
return MockClient()
@pytest.fixture
def banks(client: Client) -> list[Bank]:
banks = [
Bank("bank", "BANK", AccountType.checking, NordigenBank(None, "req", None)),
Bank("broker", "BROKER", AccountType.investment),
Bank("creditcard", "CC", AccountType.MASTERCARD),
]
# fix nordigen bank names which would be generated post DB insert
for bank in banks:
if bank.nordigen:
bank.nordigen.name = bank.name
client.insert(banks)
return banks
@pytest.fixture
def transactions(client: Client) -> list[Transaction]:
transactions = [
Transaction(
date(2023, 1, 1),
"",
Decimal("-10"),
category=TransactionCategory("category", CategorySelector.algorithm),
),
Transaction(date(2023, 1, 2), "", Decimal("-50")),
]
client.insert(transactions)
# fix ids which would be generated post DB insert
for i, transaction in enumerate(transactions):
transaction.id = i + 1
if transaction.category:
transaction.category.id = 1
return transactions
class TestDatabase:
def test_initialization(self, client: Client):
pass
def test_insert_with_session(self, client: Client):
transactions = [
Transaction(date(2023, 1, 1), "", Decimal("-10")),
Transaction(date(2023, 1, 2), "", Decimal("-50")),
]
with client.session as session:
session.insert(transactions)
assert session.select(Transaction) == transactions
def test_insert_transactions(self, client: Client, transactions: list[Transaction]):
result = client.select(Transaction)
assert result == transactions
def test_select_transactions_without_category(
self, client: Client, transactions: list[Transaction]
):
result = client.select(Transaction, lambda: ~Transaction.category.has())
assert result == [transactions[1]]
def test_select_banks(self, client: Client, banks: list[Bank]):
result = client.select(Bank)
assert result == banks
def test_select_banks_with_nordigen(self, client: Client, banks: list[Bank]):
result = client.select(Bank, Bank.nordigen)
assert result == [banks[0]]
def test_select_banks_by_name(self, client: Client, banks: list[Bank]):
name = banks[0].name
result = client.select(Bank, lambda: Bank.name == name)
assert result == [banks[0]]
names = [banks[0].name, banks[1].name]
result = client.select(Bank, lambda: Bank.name.in_(names))
assert result == [banks[0], banks[1]]
def test_update_bank_with_session(self, client: Client, banks: list[Bank]):
with client.session as session:
name = banks[0].name
bank = session.select(Bank, lambda: Bank.name == name)[0]
bank.name = "anotherbank"
result = client.select(Bank, lambda: Bank.name == "anotherbank")
assert len(result) == 1
def test_update_bank(self, client: Client, banks: list[Bank]):
name = banks[0].name
result = client.select(Bank, lambda: Bank.name == name)
assert result[0].type == AccountType.checking
update = {"name": name, "type": AccountType.savings}
client.update(Bank, [update])
result = client.select(Bank, lambda: Bank.name == name)
assert result[0].type == AccountType.savings
def test_update_nordigen(self, client: Client, banks: list[Bank]):
name = banks[0].name
result = client.select(NordigenBank, lambda: NordigenBank.name == name)
assert result[0].requisition_id == "req"
update = {"name": name, "requisition_id": "anotherreq"}
client.update(NordigenBank, [update])
result = client.select(NordigenBank, lambda: NordigenBank.name == name)
assert result[0].requisition_id == "anotherreq"
result = client.select(Bank, lambda: Bank.name == name)
assert getattr(result[0].nordigen, "requisition_id", None) == "anotherreq"
def test_remove_bank(self, client: Client, banks: list[Bank]):
name = banks[0].name
result = client.select(Bank)
assert len(result) == 3
client.delete(Bank, Bank.name, [name])
result = client.select(Bank)
assert len(result) == 2
names = [banks[1].name, banks[2].name]
client.delete(Bank, Bank.name, names)
result = client.select(Bank)
assert len(result) == 0

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@ -1,38 +0,0 @@
from datetime import date
from decimal import Decimal
from typing import Sequence
import pytest
from pfbudget.db.client import Client
from pfbudget.db.model import BankTransaction, Transaction
from pfbudget.load.database import DatabaseLoader
from pfbudget.load.load import Loader
class FakeDatabaseClient(Client):
def __init__(self, url: str) -> None:
super().__init__(url)
def insert(self, transactions: Sequence[Transaction]) -> None:
pass
@pytest.fixture
def loader() -> Loader:
url = "postgresql://user:pass@127.0.0.1:5432/db"
client = FakeDatabaseClient(url)
return DatabaseLoader(client)
class TestDatabaseLoad:
def test_empty_url(self):
with pytest.raises(AssertionError):
_ = FakeDatabaseClient("")
def test_insert(self, loader: Loader):
transactions = [
BankTransaction(date(2023, 1, 1), "", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "", Decimal("500"), bank="Bank#2"),
]
loader.load(transactions)

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@ -1,104 +0,0 @@
import datetime as dt
from decimal import Decimal
from typing import Any, Optional
import pytest
import requests
from mocks.client import MockClient
import mocks.nordigen as mock
from pfbudget.db.model import AccountType, Bank, BankTransaction, NordigenBank
from pfbudget.extract.exceptions import BankError, CredentialsError
from pfbudget.extract.extract import Extractor
from pfbudget.extract.nordigen import NordigenClient, NordigenCredentials
from pfbudget.extract.psd2 import PSD2Extractor
class MockGet:
def __init__(self, mock_exception: Optional[Exception] = None):
self._status_code = 200
self._mock_exception = mock_exception
def __call__(self, *args: Any, **kwargs: Any):
if self._mock_exception:
raise self._mock_exception
self._headers: dict[str, str] = kwargs["headers"]
if "Authorization" not in self._headers or not self._headers["Authorization"]:
self._status_code = 401
self.url: str = kwargs["url"]
return self
@property
def ok(self):
return True if self._status_code < 400 else False
@property
def status_code(self):
return self._status_code
def json(self):
if self.url.endswith("accounts/" + mock.id + "/"):
return mock.accounts_id
elif self.url.endswith("accounts/" + mock.id + "/transactions/"):
return mock.accounts_id_transactions
elif self.url.endswith("requisitions/"):
return mock.requisitions
elif self.url.endswith("requisitions/" + mock.id + "/"):
return mock.requisitions_id
@pytest.fixture(autouse=True)
def mock_requests(monkeypatch: pytest.MonkeyPatch):
monkeypatch.setattr("requests.get", MockGet())
monkeypatch.delattr("requests.post")
monkeypatch.delattr("requests.put")
monkeypatch.delattr("requests.delete")
@pytest.fixture
def extractor() -> Extractor:
credentials = NordigenCredentials("ID", "KEY")
return PSD2Extractor(NordigenClient(credentials, MockClient()))
@pytest.fixture
def bank() -> Bank:
bank = Bank("Bank#1", "", AccountType.checking, NordigenBank("", mock.id, False))
return bank
class TestExtractPSD2:
def test_empty_credentials(self):
cred = NordigenCredentials("", "")
with pytest.raises(CredentialsError):
NordigenClient(cred, MockClient())
def test_no_psd2_bank(self, extractor: Extractor):
with pytest.raises(BankError):
extractor.extract(Bank("", "", AccountType.checking))
def test_timeout(
self, monkeypatch: pytest.MonkeyPatch, extractor: Extractor, bank: Bank
):
monkeypatch.setattr(
"requests.get", MockGet(mock_exception=requests.ReadTimeout())
)
with pytest.raises(requests.Timeout):
extractor.extract(bank)
def test_extract(
self, monkeypatch: pytest.MonkeyPatch, extractor: Extractor, bank: Bank
):
monkeypatch.setattr(
"pfbudget.extract.nordigen.NordigenClient.dump", lambda *args: None
)
assert extractor.extract(bank) == [
BankTransaction(
dt.date(2023, 1, 14), "string", Decimal("328.18"), bank="Bank#1"
),
BankTransaction(
dt.date(2023, 2, 14), "string", Decimal("947.26"), bank="Bank#1"
),
]

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from datetime import date
from decimal import Decimal
import pytest
import mocks.categories as mock
from pfbudget.db.model import (
BankTransaction,
Category,
CategoryRule,
CategorySelector,
TransactionCategory,
TransactionTag,
)
from pfbudget.transform.categorizer import Categorizer
from pfbudget.transform.exceptions import MoreThanOneMatchError
from pfbudget.transform.nullifier import Nullifier
from pfbudget.transform.tagger import Tagger
from pfbudget.transform.transform import Transformer
class TestTransform:
def test_nullifier(self):
transactions = [
BankTransaction(date(2023, 1, 1), "", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "", Decimal("500"), bank="Bank#2"),
]
for t in transactions:
assert not t.category
categorizer: Transformer = Nullifier()
transactions = categorizer.transform(transactions)
for t in transactions:
assert t.category == TransactionCategory("null", CategorySelector.nullifier)
def test_nullifier_inplace(self):
transactions = [
BankTransaction(date(2023, 1, 1), "", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "", Decimal("500"), bank="Bank#2"),
]
for t in transactions:
assert not t.category
categorizer: Transformer = Nullifier()
categorizer.transform_inplace(transactions)
for t in transactions:
assert t.category == TransactionCategory("null", CategorySelector.nullifier)
def test_nullifier_inplace_unordered(self):
transactions = [
BankTransaction(date(2023, 1, 2), "A2", Decimal("500"), bank="Bank#2"),
BankTransaction(date(2023, 1, 2), "B1", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 1), "A1", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "B2", Decimal("500"), bank="Bank#2"),
]
for t in transactions:
assert not t.category
categorizer: Transformer = Nullifier()
with pytest.raises(MoreThanOneMatchError):
categorizer.transform_inplace(transactions)
def test_nullifier_inplace_repeated(self):
transactions = [
BankTransaction(date(2023, 1, 2), "A1", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "A2", Decimal("500"), bank="Bank#2"),
BankTransaction(date(2023, 1, 2), "B1", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "B2", Decimal("500"), bank="Bank#2"),
]
for t in transactions:
assert not t.category
categorizer: Transformer = Nullifier()
with pytest.raises(MoreThanOneMatchError):
categorizer.transform_inplace(transactions)
def test_nullifier_with_rules(self):
transactions = [
BankTransaction(date(2023, 1, 1), "", Decimal("-500"), bank="Bank#1"),
BankTransaction(date(2023, 1, 2), "", Decimal("500"), bank="Bank#2"),
]
for t in transactions:
assert not t.category
rule = CategoryRule(bank="Bank#1")
rule.name = "null"
rules = [rule]
categorizer: Transformer = Nullifier(rules)
transactions = categorizer.transform(transactions)
for t in transactions:
assert not t.category
rule = CategoryRule(bank="Bank#2")
rule.name = "null"
rules.append(rule)
categorizer = Nullifier(rules)
transactions = categorizer.transform(transactions)
for t in transactions:
assert t.category == TransactionCategory("null", CategorySelector.nullifier)
def test_tagger(self):
transactions = [
BankTransaction(date(2023, 1, 1), "desc#1", Decimal("-10"), bank="Bank#1")
]
for t in transactions:
assert not t.category
rules = mock.tag_1.rules
for rule in rules:
rule.tag = mock.tag_1.name
categorizer: Transformer = Tagger(rules)
transactions = categorizer.transform(transactions)
for t in transactions:
assert TransactionTag("tag#1") in t.tags
def test_categorize(self):
transactions = [
BankTransaction(date(2023, 1, 1), "desc#1", Decimal("-10"), bank="Bank#1")
]
for t in transactions:
assert not t.category
rules = mock.category1.rules
for rule in rules:
rule.name = mock.category1.name
categorizer: Transformer = Categorizer(rules)
transactions = categorizer.transform(transactions)
for t in transactions:
assert t.category == TransactionCategory("cat#1", CategorySelector.rules)
def test_rule_limits(self):
transactions = [
BankTransaction(date.today(), "", Decimal("-60"), bank="Bank#1"),
BankTransaction(date.today(), "", Decimal("-120"), bank="Bank#1"),
]
cat = Category("cat")
cat.rules = [CategoryRule(min=-120, max=-60)]
for r in cat.rules:
r.name = cat.name
transactions = Categorizer(cat.rules).transform(transactions)
assert all(t.category.name == cat.name for t in transactions)