├── .all-contributorsrc ├── .coveragerc ├── .flake8 ├── .github ├── ISSUE_TEMPLATE.md └── workflows │ ├── check-links.yaml │ ├── codeql.yml │ ├── release.yaml │ └── testing.yaml ├── .gitignore ├── .pre-commit-config.yaml ├── .readthedocs.yaml ├── CHANGELOG.md ├── LICENSE.txt ├── MANIFEST.in ├── README.md ├── ankipandas ├── __init__.py ├── _columns.py ├── ankidf.py ├── collection.py ├── conftest.py ├── data │ └── anki_fields.csv ├── paths.py ├── raw.py ├── test │ ├── __init__.py │ ├── data │ │ └── few_basic_cards │ │ │ ├── collection.anki2 │ │ │ └── collection_v1.anki2 │ ├── test_ankidf.py │ ├── test_collection.py │ ├── test_paths.py │ ├── test_raw.py │ ├── test_regression.py │ └── util.py ├── util │ ├── __init__.py │ ├── checksum.py │ ├── dataframe.py │ ├── guid.py │ ├── log.py │ ├── misc.py │ ├── test │ │ ├── __init__.py │ │ ├── test_dataframe.py │ │ ├── test_log.py │ │ ├── test_misc.py │ │ └── test_types.py │ └── types.py └── version.txt ├── codespell.txt ├── doc ├── Makefile ├── ankidf.rst ├── collection.rst ├── conf.py ├── examples.rst ├── examples │ ├── col.anki2 │ ├── examples │ │ ├── leeches_per_deck.py │ │ ├── repetitions_per_deck.py │ │ ├── repetitions_per_type.py │ │ ├── retention_distribution_vs_deck.py │ │ ├── retention_rate_per_deck.py │ │ └── reviews_vs_ease.py │ ├── loader.py │ └── plots │ │ ├── leeches_per_deck.png │ │ ├── repetitions_per_deck.png │ │ ├── repetitions_per_type.png │ │ ├── retention_distribution_vs_deck.png │ │ ├── retention_rate_per_deck.png │ │ └── reviews_vs_ease.png ├── faq.md ├── index.rst ├── paths.rst ├── projects_with_ap.rst ├── raw.rst ├── requirements.txt ├── troubleshooting.rst └── util.rst ├── misc └── logo │ ├── _logos.svg │ ├── logo.svg │ ├── logo_github.png │ ├── logo_rtd.svg │ └── logo_social.svg ├── mlc_config.json ├── mypy.ini ├── pyproject.toml ├── requirements.txt ├── setup.cfg └── setup.py /.all-contributorsrc: -------------------------------------------------------------------------------- 1 | { 2 | "files": [ 3 | "README.md" 4 | ], 5 | "imageSize": 100, 6 | "commit": false, 7 | "contributorsSortAlphabetically": true, 8 | "contributors": [ 9 | { 10 | "login": "exc4l", 11 | "name": "exc4l", 12 | "avatar_url": "https://avatars3.githubusercontent.com/u/74188442?v=4", 13 | "profile": "https://github.com/exc4l", 14 | "contributions": [ 15 | "bug", 16 | "code" 17 | ] 18 | }, 19 | { 20 | "login": "CalculusAce", 21 | "name": "CalculusAce", 22 | "avatar_url": "https://avatars3.githubusercontent.com/u/42630988?v=4", 23 | "profile": "https://github.com/CalculusAce", 24 | "contributions": [ 25 | "bug" 26 | ] 27 | }, 28 | { 29 | "login": "brownbat", 30 | "name": "Thomas Brownback", 31 | "avatar_url": "https://avatars2.githubusercontent.com/u/26754?v=4", 32 | "profile": "http://thomasbrownback.com/", 33 | "contributions": [ 34 | "bug" 35 | ] 36 | }, 37 | { 38 | "login": "p4nix", 39 | "name": "p4nix", 40 | "avatar_url": "https://avatars1.githubusercontent.com/u/7038116?v=4", 41 | "profile": "https://github.com/p4nix", 42 | "contributions": [ 43 | "bug" 44 | ] 45 | }, 46 | { 47 | "login": "eumiro", 48 | "name": "Miroslav Šedivý", 49 | "avatar_url": "https://avatars0.githubusercontent.com/u/6774676?v=4", 50 | "profile": "https://github.com/eumiro", 51 | "contributions": [ 52 | "test", 53 | "code" 54 | ] 55 | }, 56 | { 57 | "login": "khughitt", 58 | "name": "Keith Hughitt", 59 | "avatar_url": "https://avatars.githubusercontent.com/u/125001?v=4", 60 | "profile": "https://github.com/khughitt", 61 | "contributions": [ 62 | "bug" 63 | ] 64 | }, 65 | { 66 | "login": "bollwyvl", 67 | "name": "Nicholas Bollweg", 68 | "avatar_url": "https://avatars.githubusercontent.com/u/45380?v=4", 69 | "profile": "https://github.com/bollwyvl", 70 | "contributions": [ 71 | "code" 72 | ] 73 | }, 74 | { 75 | "login": "eshrh", 76 | "name": "eshrh", 77 | "avatar_url": "https://avatars.githubusercontent.com/u/16175276?v=4", 78 | "profile": "http://esrh.sdf.org", 79 | "contributions": [ 80 | "doc" 81 | ] 82 | }, 83 | { 84 | "login": "Blocked", 85 | "name": "Blocked", 86 | "avatar_url": "https://avatars.githubusercontent.com/u/4366503?v=4", 87 | "profile": "https://github.com/Blocked", 88 | "contributions": [ 89 | "bug" 90 | ] 91 | }, 92 | { 93 | "login": "frnsys", 94 | "name": "Francis Tseng", 95 | "avatar_url": "https://avatars.githubusercontent.com/u/1059947?v=4", 96 | "profile": "http://frnsys.com", 97 | "contributions": [ 98 | "bug", 99 | "code" 100 | ] 101 | } 102 | ], 103 | "contributorsPerLine": 7, 104 | "projectName": "AnkiPandas", 105 | "projectOwner": "klieret", 106 | "repoType": "github", 107 | "repoHost": "https://github.com", 108 | "skipCi": true, 109 | "commitConvention": "angular" 110 | } 111 | -------------------------------------------------------------------------------- /.coveragerc: -------------------------------------------------------------------------------- 1 | [run] 2 | omit = 3 | setup.py 4 | examples/* 5 | */test/* 6 | test_* 7 | relative_files = True 8 | -------------------------------------------------------------------------------- /.flake8: -------------------------------------------------------------------------------- 1 | [flake8] 2 | max-line-length = 80 3 | select = C,E,F,W,B,B950 4 | ignore = E203, E501, W503 5 | per-file-ignores = 6 | doc/examples/examples/*: F821 7 | */__init__.py: F401 8 | exclude = 9 | .git, 10 | __pycache__, 11 | notebooks, 12 | -------------------------------------------------------------------------------- /.github/ISSUE_TEMPLATE.md: -------------------------------------------------------------------------------- 1 | Instructions 2 | 3 | First off, thanks for helping! :heart: 4 | 5 | To make it easier to come up with a solution, please make sure to include 6 | 7 | * Your operating system 8 | * Please make sure that you set the logging level of ankipandas to debug directly after importing: 9 | `ankipandas.set_debug_log_level()`. 10 | * A minimal working example (MWE) of code that can be used to reproduce your problem (where applicable) 11 | * A clear description of what you expected and what happened instead 12 | * The complete output of all log messages of `AnkiPandas` 13 | 14 | Also note that it might take some time before I can take a look at this. 15 | If I don't reply within a week, please ping me again (e.g. write another comment). 16 | Thanks for your patience! 17 | 18 | You may delete these instructions from your comment. 19 | -------------------------------------------------------------------------------- /.github/workflows/check-links.yaml: -------------------------------------------------------------------------------- 1 | name: Check Markdown links 2 | 3 | on: 4 | push: 5 | pull_request: 6 | schedule: 7 | - cron: "0 0 1 * *" 8 | 9 | jobs: 10 | markdown-link-check: 11 | runs-on: ubuntu-latest 12 | steps: 13 | - uses: actions/checkout@master 14 | - uses: gaurav-nelson/github-action-markdown-link-check@v1 15 | -------------------------------------------------------------------------------- /.github/workflows/codeql.yml: -------------------------------------------------------------------------------- 1 | name: "CodeQL" 2 | 3 | on: 4 | push: 5 | branches: [ "master" ] 6 | pull_request: 7 | branches: [ "master" ] 8 | schedule: 9 | - cron: "44 5 * * 5" 10 | 11 | jobs: 12 | analyze: 13 | name: Analyze 14 | runs-on: ubuntu-latest 15 | permissions: 16 | actions: read 17 | contents: read 18 | security-events: write 19 | 20 | strategy: 21 | fail-fast: false 22 | matrix: 23 | language: [ python ] 24 | 25 | steps: 26 | - name: Checkout 27 | uses: actions/checkout@v3 28 | 29 | - name: Initialize CodeQL 30 | uses: github/codeql-action/init@v2 31 | with: 32 | languages: ${{ matrix.language }} 33 | queries: +security-and-quality 34 | 35 | - name: Autobuild 36 | uses: github/codeql-action/autobuild@v2 37 | 38 | - name: Perform CodeQL Analysis 39 | uses: github/codeql-action/analyze@v2 40 | with: 41 | category: "/language:${{ matrix.language }}" 42 | -------------------------------------------------------------------------------- /.github/workflows/release.yaml: -------------------------------------------------------------------------------- 1 | name: Release 2 | 3 | on: 4 | release: 5 | types: [published] 6 | workflow_dispatch: 7 | 8 | jobs: 9 | deploy: 10 | runs-on: ubuntu-latest 11 | 12 | steps: 13 | - uses: actions/checkout@v3 14 | with: 15 | fetch-depth: 0 16 | 17 | - name: Build sdist and wheel 18 | run: pipx run build 19 | 20 | - uses: actions/upload-artifact@v4 21 | with: 22 | path: dist 23 | 24 | - name: Check products 25 | run: pipx run twine check dist/* 26 | 27 | - uses: pypa/gh-action-pypi-publish@v1.6.1 28 | if: github.event_name == 'release' && github.event.action == 'published' 29 | with: 30 | # Remember to generate this and set it in "GitHub Secrets" 31 | password: ${{ secrets.pypi_password }} 32 | verbose: true 33 | -------------------------------------------------------------------------------- /.github/workflows/testing.yaml: -------------------------------------------------------------------------------- 1 | name: testing 2 | 3 | on: [push, pull_request] 4 | 5 | jobs: 6 | build: 7 | runs-on: ubuntu-latest 8 | 9 | steps: 10 | - uses: actions/checkout@v2 11 | - name: Set up Python 3.8 12 | uses: actions/setup-python@v2 13 | with: 14 | python-version: 3.8 15 | - name: Install prerequisites 16 | run: | 17 | python3 -m pip install -U pip wheel setuptools 18 | - name: Build distribution 19 | run: | 20 | python3 setup.py sdist bdist_wheel 21 | cd dist && sha256sum * | tee SHA256SUMS 22 | - name: Install lint/test dependencies 23 | run: | 24 | python3 -m pip install flake8 pytest pytest-cover pytest-subtests 25 | - name: Lint with flake8 26 | run: | 27 | # stop the build if there are Python syntax errors or undefined names 28 | flake8 . --count --select=E9,F63,F7,F82 --ignore F821 --show-source --statistics 29 | # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide 30 | flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics 31 | - name: Install test dependencies 32 | run: | 33 | python3 -m pip install -e . 34 | - name: Test with pytest 35 | run: | 36 | pytest 37 | - uses: actions/upload-artifact@v4 38 | with: 39 | name: ankipandas dist ${{ github.run_number }} 40 | path: ./dist 41 | - name: Coveralls 42 | uses: AndreMiras/coveralls-python-action@develop 43 | 44 | test: 45 | needs: [build] 46 | runs-on: ${{ matrix.os }}-latest 47 | strategy: 48 | matrix: 49 | os: [ubuntu, windows, macos] 50 | python-version: ['3.8', '3.9', '3.10'] 51 | include: 52 | - python-version: '3.8' 53 | artifact: ankipandas-*.whl 54 | - python-version: '3.9' 55 | artifact: ankipandas-*.tar.gz 56 | - python-version: '3.10' 57 | artifact: ankipandas-*.tar.gz 58 | 59 | steps: 60 | - uses: actions/checkout@v2 61 | - uses: actions/download-artifact@v4.1.7 62 | with: 63 | name: ankipandas dist ${{ github.run_number }} 64 | path: ./dist 65 | - name: Set up Python ${{ matrix.python-version }} 66 | uses: actions/setup-python@v2 67 | with: 68 | python-version: ${{ matrix.python-version }} 69 | - name: Install prerequisites 70 | run: | 71 | python3 -m pip install -U pip wheel 72 | - name: Get artifact path 73 | id: artifact 74 | shell: bash -l {0} 75 | run: | 76 | cd dist 77 | echo "::set-output name=path::$(ls ${{ matrix.artifact }})" 78 | - name: Install package 79 | run: | 80 | cd dist 81 | python3 -m pip install ${{ steps.artifact.outputs.path }} 82 | - name: Smoke test 83 | run: | 84 | cd dist 85 | python3 -m pip list 86 | python3 -m pip check 87 | python3 -c "import ankipandas" 88 | - name: Install test dependencies 89 | run: | 90 | python3 -m pip install pytest pytest-cover pytest-subtests 91 | - name: Test with pytest 92 | run: | 93 | cd dist 94 | pytest --pyargs ankipandas --cov ankipandas --cov-report term-missing:skip-covered 95 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | todo.txt 2 | *.swp 3 | .idea/** 4 | doc/_build/** 5 | # gets copied: 6 | doc/readme.md 7 | .~* 8 | 9 | examples/** 10 | examples/jupyter_notebooks/tests.ipynb 11 | 12 | # Created by https://www.gitignore.io/api/python 13 | # Edit at https://www.gitignore.io/?templates=python 14 | 15 | *.ipynb 16 | 17 | ### Python ### 18 | # Byte-compiled / optimized / DLL files 19 | __pycache__/ 20 | *.py[cod] 21 | *$py.class 22 | 23 | # C extensions 24 | *.so 25 | 26 | # Distribution / packaging 27 | .Python 28 | build/ 29 | develop-eggs/ 30 | dist/ 31 | downloads/ 32 | eggs/ 33 | .eggs/ 34 | lib/ 35 | lib64/ 36 | parts/ 37 | sdist/ 38 | var/ 39 | wheels/ 40 | pip-wheel-metadata/ 41 | share/python-wheels/ 42 | *.egg-info/ 43 | .installed.cfg 44 | *.egg 45 | MANIFEST 46 | 47 | # PyInstaller 48 | # Usually these files are written by a python script from a template 49 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 50 | *.manifest 51 | *.spec 52 | 53 | # Installer logs 54 | pip-log.txt 55 | pip-delete-this-directory.txt 56 | 57 | # Unit test / coverage reports 58 | htmlcov/ 59 | .tox/ 60 | .nox/ 61 | .coverage 62 | .coverage.* 63 | .cache 64 | nosetests.xml 65 | coverage.xml 66 | *.cover 67 | .hypothesis/ 68 | .pytest_cache/ 69 | 70 | # Translations 71 | *.mo 72 | *.pot 73 | 74 | # Django stuff: 75 | *.log 76 | local_settings.py 77 | db.sqlite3 78 | 79 | # Flask stuff: 80 | instance/ 81 | .webassets-cache 82 | 83 | # Scrapy stuff: 84 | .scrapy 85 | 86 | # Sphinx documentation 87 | docs/_build/ 88 | 89 | # PyBuilder 90 | target/ 91 | 92 | # Jupyter Notebook 93 | .ipynb_checkpoints 94 | 95 | # IPython 96 | profile_default/ 97 | ipython_config.py 98 | 99 | # pyenv 100 | .python-version 101 | 102 | # pipenv 103 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 104 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 105 | # having no cross-platform support, pipenv may install dependencies that don’t work, or not 106 | # install all needed dependencies. 107 | #Pipfile.lock 108 | 109 | # celery beat schedule file 110 | celerybeat-schedule 111 | 112 | # SageMath parsed files 113 | *.sage.py 114 | 115 | # Environments 116 | .env 117 | .venv 118 | env/ 119 | venv/ 120 | ENV/ 121 | env.bak/ 122 | venv.bak/ 123 | 124 | # Spyder project settings 125 | .spyderproject 126 | .spyproject 127 | 128 | # Rope project settings 129 | .ropeproject 130 | 131 | # mkdocs documentation 132 | /site 133 | 134 | # mypy 135 | .mypy_cache/ 136 | .dmypy.json 137 | dmypy.json 138 | 139 | # Pyre type checker 140 | .pyre/ 141 | 142 | # End of https://www.gitignore.io/api/python 143 | -------------------------------------------------------------------------------- /.pre-commit-config.yaml: -------------------------------------------------------------------------------- 1 | repos: 2 | - repo: https://github.com/psf/black 3 | rev: 24.10.0 4 | hooks: 5 | - id: black 6 | 7 | - repo: https://github.com/pre-commit/pre-commit-hooks 8 | rev: v5.0.0 9 | hooks: 10 | - id: check-added-large-files 11 | - id: check-case-conflict 12 | - id: check-merge-conflict 13 | - id: detect-private-key 14 | - id: end-of-file-fixer 15 | - id: trailing-whitespace 16 | - repo: https://github.com/pycqa/isort 17 | rev: 5.13.2 18 | hooks: 19 | - id: isort 20 | name: isort (python) 21 | args: 22 | [ 23 | "--profile", 24 | "black", 25 | "-a", 26 | "from __future__ import annotations", 27 | "--append-only", 28 | ] 29 | 30 | - repo: https://github.com/PyCQA/flake8 31 | rev: "7.1.1" # pick a git hash / tag to point to 32 | hooks: 33 | - id: flake8 34 | additional_dependencies: ["flake8-bugbear"] 35 | - repo: https://github.com/pre-commit/mirrors-mypy 36 | rev: "v1.13.0" # Use the sha / tag you want to point at 37 | hooks: 38 | - id: mypy 39 | exclude: "conftest.py|^doc/examples/examples/|^doc/conf.py" 40 | - repo: https://github.com/codespell-project/codespell 41 | rev: "v2.3.0" 42 | hooks: 43 | - id: codespell 44 | args: ["-I", "codespell.txt"] 45 | - repo: https://github.com/asottile/pyupgrade 46 | rev: v3.19.0 47 | hooks: 48 | - id: pyupgrade 49 | args: ["--py37-plus"] 50 | 51 | 52 | 53 | ci: 54 | autoupdate_schedule: monthly 55 | -------------------------------------------------------------------------------- /.readthedocs.yaml: -------------------------------------------------------------------------------- 1 | version: 2 2 | 3 | build: 4 | os: ubuntu-22.04 5 | tools: 6 | python: "3.10" 7 | 8 | sphinx: 9 | configuration: doc/conf.py 10 | 11 | python: 12 | install: 13 | - requirements: doc/requirements.txt 14 | -------------------------------------------------------------------------------- /CHANGELOG.md: -------------------------------------------------------------------------------- 1 | # Changelog 2 | 3 | The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), 4 | and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). 5 | 6 | ## 0.3.15 -- 2023-10-11 7 | 8 | ### Removed 9 | 10 | - `Collection.write` now raises a `NotImplementedError` because 11 | https://github.com/klieret/AnkiPandas/issues/137 has so far not been 12 | resolved and has caused numerous problems. 13 | 14 | ## 0.3.14 -- 2023-05-14 15 | 16 | ### Fixed 17 | 18 | - Ensured compatibility with pandas 2.0 19 | 20 | ## 0.3.13 -- 2023-04-05 21 | 22 | ### Fixed 23 | 24 | - Require pandas < 2.0 for now because of API changes in pandas 2.0. 25 | See #143 26 | 27 | ## 0.3.12 -- 2023-01-01 28 | 29 | ### Fixed 30 | 31 | - Fix future warning about `Index.__and__` 32 | 33 | ## 0.3.11 -- 2022-12-29 34 | 35 | ### Removed 36 | 37 | - Python 3.6 has reached its end of life and is no longer supported. This is to 38 | ensure that we can keep the code base modern and developers happy. 39 | 40 | ### Fixed 41 | 42 | - When updating cards or notes, certain SQL search indices that are usually 43 | automatically created by Anki could be left missing. While these do not 44 | change any of the information in the database and can be created trivially, 45 | this caused Anki to refuse to load the database. 46 | 47 | ### Documentation and developer happiness 48 | 49 | - Various improvements to the documentation 50 | - Work on modernizing the code base 51 | 52 | ## 0.3.10 -- 2021-05-07 53 | 54 | ### Fixed 55 | 56 | - The SQLite connection to the database is now always closed right away by the Collection. 57 | This solves issues where the connection was kept open even though all collection and 58 | AnkiDataFrame objects were deleted (there is additional garbage collection trouble). 59 | Read more in [issue 75](https://github.com/klieret/AnkiPandas/issues/75) 60 | 61 | ## 0.3.9 -- 2020-12-17 62 | 63 | ### Deprecated 64 | 65 | - Future releases will not support python 3.5 anymore. Added warning for users still on 66 | python 3.5. 67 | 68 | ## 0.3.8 -- 2020-12-05 69 | 70 | ### Fixed 71 | 72 | - Setup problems with editable install as described [here](https://github.com/pypa/pip/issues/7953) 73 | - Compatibility issues with building ankipandas on windows machines (windows is not 74 | using utf8 by default which often results in errors, see 75 | [here](https://discuss.python.org/t/pep-597-enable-utf-8-mode-by-default-on-windows/3122)) 76 | - Issues with max search depth for database search 77 | - AttributeError when calling `merge_notes` with `inplace=True`. [Issue #51](https://github.com/klieret/AnkiPandas/issues/51) 78 | - Default search paths might not have been working because the user name was not inserted properly 79 | - Properly tell anki that things were changed and that it should sync its tables 80 | 81 | ### Changed 82 | 83 | - Improved database search on windows machines 84 | - If no changes are detected in the different tables, the database will not be overwritten 85 | 86 | ## 0.3.7 -- 2020-11-28 87 | 88 | ### Fixed 89 | 90 | - `merge_cards` and `merge_notes` didn't update metadata of return value, resulting in errors like 91 | `Unknown value of _df_format`. Issue #42 92 | - `force` values weren't passed on, resulting in AnkiPandas refusing to do anything 93 | when writing out 94 | - On Windows the int size is 32 bit even on 64 bit computers, resulting in issues with 95 | large values of ids. Issue #41 96 | 97 | 98 | ## 0.3.6 - 2020-08-26 99 | 100 | ### Fixed 101 | 102 | - Keep support for python 3.5 103 | 104 | ## 0.3.5 - 2020-08-26 105 | 106 | ### Fixed 107 | 108 | - Support for new anki versions ([#38](https://github.com/klieret/AnkiPandas/issues/38)) 109 | 110 | ## 0.3.4 - 2020-07-09 111 | 112 | ### Fixed 113 | 114 | - JSONDecodeError upon loading database. Also added additional debugging output in case something like this happens again. 115 | 116 | ## 0.3.3 - 2020-04-21 117 | 118 | ### Fixed 119 | 120 | - Compatibility with new pandas versions 121 | 122 | ## 0.3.0 - 2019-06-02 123 | 124 | ### Added 125 | 126 | - Add new notes and cards 127 | 128 | ### Changed 129 | 130 | - Cards/notes/reviews tables are now initialized from a central ``Collection`` object 131 | 132 | ### Fixed 133 | 134 | - ``was_modified``, ``was_added`` break when user added additional columns to dataframe 135 | - Correctly set ``mod`` (modification timestamp) and ``usn`` (update sequence number) of whole database after updates 136 | 137 | ## 0.2.1 - 2019-05-17 138 | 139 | ### Fixed 140 | 141 | - Merging of tables failed with some pandas versions 142 | 143 | ## 0.2.0 - 2019-05-07 144 | 145 | ### Added 146 | 147 | - Modify tables and write them back into the database. 148 | -------------------------------------------------------------------------------- /LICENSE.txt: -------------------------------------------------------------------------------- 1 | The MIT License (MIT) 2 | 3 | Copyright (c) 2019 Kilian Lieret 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /MANIFEST.in: -------------------------------------------------------------------------------- 1 | include ankipandas/version.txt 2 | include requirements.txt 3 | include CHANGELOG.md 4 | include README.md 5 | include LICENSE.txt 6 | recursive-include ankipandas/test/data/few_basic_cards *.anki2 7 | recursive-include ankipandas/data *.csv 8 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
2 | 3 | 4 |

5 | Analyze and manipulate your Anki collection using pandas! 6 |

7 | 8 |

9 | 10 | [![Documentation Status](https://readthedocs.org/projects/ankipandas/badge/?version=latest)](https://ankipandas.readthedocs.io/) [![Gitter](https://img.shields.io/gitter/room/ankipandas/community.svg)](https://matrix.to/#/#AnkiPandas_community:gitter.im) 11 | [![License](https://img.shields.io/github/license/klieret/ankipandas.svg)](https://github.com/klieret/ankipandas/blob/master/LICENSE.txt) 12 | [![PR welcome](https://img.shields.io/badge/PR-Welcome-%23FF8300.svg)](https://git-scm.com/book/en/v2/GitHub-Contributing-to-a-Project) 13 | 14 |

15 |

16 | 17 | [![pre-commit.ci status](https://results.pre-commit.ci/badge/github/klieret/AnkiPandas/master.svg)](https://results.pre-commit.ci/latest/github/klieret/AnkiPandas/master) 18 | [![gh actions](https://github.com/klieret/AnkiPandas/workflows/testing/badge.svg)](https://github.com/klieret/AnkiPandas/actions) [![Coveralls](https://coveralls.io/repos/github/klieret/AnkiPandas/badge.svg?branch=master)](https://coveralls.io/github/klieret/AnkiPandas?branch=master) 19 | [![CodeQL](https://github.com/klieret/AnkiPandas/actions/workflows/codeql.yml/badge.svg)](https://github.com/klieret/AnkiPandas/actions/workflows/codeql.yml) 20 | [![gitmoji](https://img.shields.io/badge/gitmoji-%20😜%20😍-FFDD67.svg)](https://gitmoji.dev) [![Black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black) 21 | [![Pypi status](https://badge.fury.io/py/ankipandas.svg)](https://pypi.org/project/ankipandas/) 22 | 23 |

24 |
25 | 26 | ## 📝 Description 27 | 28 | > **Note** 29 | > This package needs a new maintainer, as I currently do not have enough time to continue development 30 | > of this package. Writing modifications back into the Anki database is currently disabled, 31 | > in particular because of issue [#137](https://github.com/klieret/AnkiPandas/issues/137). 32 | > Please reach out to me if you are interested in getting involved! 33 | 34 | [Anki](https://apps.ankiweb.net/) is one of the most popular flashcard 35 | system for spaced repetition learning, 36 | [pandas](https://pandas.pydata.org/) is the most popular python package 37 | for data analysis and manipulation. So what could be better than to 38 | bring both together? 39 | 40 | With `AnkiPandas` you can use `pandas` to easily analyze or manipulate 41 | your Anki flashcards. 42 | 43 | **Features**: 44 | 45 | - **Select**: Easily select arbitrary subsets of your cards, notes or 46 | reviews using `pandas` ([one of many 47 | introductions](https://medium.com/dunder-data/6fcd0170be9c), 48 | [official 49 | documentation](https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html)) 50 | - **Visualize**: Use pandas\' powerful [built in 51 | tools](https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html) 52 | or switch to the even more versatile 53 | [seaborn](https://seaborn.pydata.org/) (statistical analysis) or 54 | [matplotlib](https://matplotlib.org/) libraries 55 | - **Manipulate**: Apply fast bulk operations to the table (e.g. add 56 | tags, change decks, set field contents, suspend cards, \...) or 57 | iterate over the table and perform these manipulations step by step. 58 | **⚠️ This functionality is currently disabled until [#137](https://github.com/klieret/AnkiPandas/issues/137) has been resolved! ⚠️** 59 | - **Import and Export**: Pandas can export to (and import from) csv, 60 | MS Excel, HTML, JSON, \... ([io 61 | documentation](https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html)) 62 | 63 | **Pros**: 64 | 65 | - **Easy installation**: Install via python package manager 66 | (independent of your Anki installation) 67 | - **Simple**: Just one line of code to get started 68 | - **Convenient**: Bring together information about 69 | [cards](https://apps.ankiweb.net/docs/manual.html#cards), 70 | [notes](https://apps.ankiweb.net/docs/manual.html#notes-&-fields), 71 | [models](https://apps.ankiweb.net/docs/manual.html#note-types), 72 | [decks](https://apps.ankiweb.net/docs/manual.html#decks) and more in 73 | just one table! 74 | - **Fully documented**: Documentation on [readthedocs](https://ankipandas.readthedocs.io/) 75 | - **Well tested**: More than 100 unit tests to keep everything in 76 | check 77 | 78 | Alternatives: If your main goal is to add new cards, models and more, 79 | you can also take a look at the 80 | [genanki](https://github.com/kerrickstaley/genanki) project. 81 | 82 | ## 📦 Installation 83 | 84 | `AnkiPandas` is available as [pypi 85 | package](https://pypi.org/project/ankipandas/) and can be installed or 86 | upgrade with the [python package 87 | manager](https://pip.pypa.io/en/stable/): 88 | 89 | ```sh 90 | pip3 install --user --upgrade ankipandas 91 | ``` 92 | 93 | ### Development installation 94 | 95 | For the latest development version you can also work from a cloned 96 | version of this repository: 97 | 98 | ```sh 99 | git clone https://github.com/klieret/ankipandas/ 100 | cd ankipandas 101 | pip3 install --user --upgrade --editable . 102 | ``` 103 | 104 | If you want to help develop this package further, please also install the 105 | [pre-commit](https://pre-commit.ci/) hooks and use [gitmoji](https://gitmoji.dev/): 106 | 107 | ```sh 108 | pre-commit install 109 | gitmoji -i 110 | ``` 111 | 112 | ## 🔥 Let's get started! 113 | 114 | Starting up is as easy as this: 115 | 116 | ```python 117 | from ankipandas import Collection 118 | 119 | col = Collection() 120 | ``` 121 | 122 | And `col.notes` will be dataframe containing all notes, with additional 123 | methods that make many things easy. Similarly, you can access cards or 124 | reviews using `col.cards` or `col.revs`. 125 | 126 | If called without any argument `Collection()` tries to find your Anki 127 | database by itself. However this might take some time. To make it 128 | easier, simply supply (part of) the path to the database and (if you 129 | have more than one user) your Anki user name, e.g. 130 | `Collection(".local/share/Anki2/", user="User 1")` on many Linux 131 | installations. 132 | 133 | To get information about the interpretation of each column, use 134 | `print(col.notes.help_cols())`. 135 | 136 | Take a look at the [documentation](https://ankipandas.readthedocs.io/) 137 | to find out more about more about the available methods! 138 | 139 | Some basic examples: 140 | 141 | ## 📈 Analysis 142 | 143 | **More examples**: [Analysis 144 | documentation](https://ankipandas.readthedocs.io/en/latest/examples.html), 145 | [projects that use `AnkiPandas`](https://ankipandas.readthedocs.io/en/latest/projects_with_ap.html). 146 | 147 | Show a histogram of the number of reviews (repetitions) of each card for 148 | all decks: 149 | 150 | ```python 151 | col.cards.hist(column="creps", by="cdeck") 152 | ``` 153 | 154 | Show the number of leeches per deck as pie chart: 155 | 156 | ```python 157 | cards = col.cards.merge_notes() 158 | selection = cards[cards.has_tag("leech")] 159 | selection["cdeck"].value_counts().plot.pie() 160 | ``` 161 | 162 | Find all notes of model `MnemoticModel` with empty `Mnemotic` field: 163 | 164 | ```python 165 | notes = col.notes.fields_as_columns() 166 | notes.query("model=='MnemoticModel' and 'Mnemotic'==''") 167 | ``` 168 | 169 | ## 🛠️ Manipulations 170 | 171 | > **Warning** 172 | > Writing the database has currently been disabled until 173 | > [#137](https://github.com/klieret/AnkiPandas/issues/137) has been resolved. 174 | > Help is much appreciated! 175 | 176 | > **Warning** 177 | > **Please be careful and test this well!** 178 | > Ankipandas will create a backup of your database before writing, so you can always restore the previous state. Please make sure that everything is working before continuing to use Anki normally! 179 | 180 | Add the `difficult-japanese` and `marked` tag to all notes that contain 181 | the tags `Japanese` and `leech`: 182 | 183 | ```python 184 | notes = col.notes 185 | selection = notes[notes.has_tags(["Japanese", "leech"])] 186 | selection = selection.add_tag(["difficult-japanese", "marked"]) 187 | col.notes.update(selection) 188 | col.write(modify=True) # Overwrites your database after creating a backup! 189 | ``` 190 | 191 | Set the `language` field to `English` for all notes of model 192 | `LanguageModel` that are tagged with `English`: 193 | 194 | ```python 195 | notes = col.notes 196 | selection = notes[notes.has_tag(["English"])].query("model=='LanguageModel'").copy() 197 | selection.fields_as_columns(inplace=True) 198 | selection["language"] = "English" 199 | col.notes.update(selection) 200 | col.write(modify=True) 201 | ``` 202 | 203 | Move all cards tagged `leech` to the deck `Leeches Only`: 204 | 205 | ```python 206 | cards = col.cards 207 | selection = cards[cards.has_tag("leech")] 208 | selection["cdeck"] = "Leeches Only" 209 | col.cards.update(selection) 210 | col.write(modify=True) 211 | ``` 212 | 213 | ## 🐞 Troubleshooting 214 | 215 | See the [troubleshooting section in the 216 | documentation](https://ankipandas.readthedocs.io/en/latest/troubleshooting.html). 217 | 218 | ## 💖 Contributing 219 | 220 | Your help is greatly appreciated! Suggestions, bug reports and feature 221 | requests are best opened as [github 222 | issues](https://github.com/klieret/ankipandas/issues). You could also 223 | first discuss in the [gitter 224 | community](https://matrix.to/#/#AnkiPandas_community:gitter.im). If you want to code 225 | something yourself, you are very welcome to submit a [pull 226 | request](https://github.com/klieret/AnkiPandas/pulls)! 227 | 228 | Bug reports and pull requests are credited with the help of the [allcontributors bot](https://allcontributors.org/). 229 | 230 | ## 📃 License & Disclaimer 231 | 232 | This software is licenced under the [MIT 233 | license](https://github.com/klieret/ankipandas/blob/master/LICENSE.txt) 234 | and (despite best testing efforts) comes **without any warranty**. The 235 | logo is inspired by the [Anki 236 | logo](https://github.com/ankitects/anki/blob/main/qt/aqt/data/web/imgs/anki-logo-thin.png) 237 | ([license](https://github.com/ankitects/anki/blob/main/LICENSE)) and 238 | the logo of the pandas package 239 | ([license2](https://github.com/pandas-dev/pandas/blob/main/LICENSE)). 240 | This library and its author(s) are not affiliated/associated with the 241 | main Anki or pandas project in any way. 242 | 243 | ## ✨ Contributors 244 | 245 | Thanks goes to these wonderful people ([emoji key](https://allcontributors.org/docs/en/emoji-key)): 246 | 247 | 248 | 249 | 250 | 251 | 252 | 253 | 254 | 255 | 256 | 257 | 258 | 259 | 260 | 261 | 262 | 263 | 264 | 265 | 266 | 267 |
Blocked
Blocked
🐛		CalculusAce
CalculusAce
🐛		Francis Tseng
Francis Tseng
🐛 💻		Keith Hughitt
Keith Hughitt
🐛		Miroslav Šedivý
Miroslav Šedivý
⚠️ 💻		Nicholas Bollweg
Nicholas Bollweg
💻		Thomas Brownback
Thomas Brownback
🐛
eshrh
eshrh
📖		exc4l
exc4l
🐛 💻		p4nix
p4nix
🐛
268 | 269 | 270 | 271 | 272 | 273 | 274 | This project follows the [all-contributors](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome! 275 | -------------------------------------------------------------------------------- /ankipandas/__init__.py: -------------------------------------------------------------------------------- 1 | # ours 2 | from __future__ import annotations 3 | 4 | import ankipandas.raw 5 | import ankipandas.util 6 | from ankipandas.ankidf import AnkiDataFrame 7 | from ankipandas.collection import Collection 8 | from ankipandas.paths import db_path_input, find_db 9 | from ankipandas.util.log import log, set_debug_log_level, set_log_level 10 | -------------------------------------------------------------------------------- /ankipandas/_columns.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import copy 5 | from pathlib import Path 6 | from typing import Any 7 | 8 | import numpy as np 9 | 10 | # 3rd 11 | import pandas as pd 12 | 13 | # ours 14 | from ankipandas.util.misc import invert_dict 15 | 16 | # todo: Docstrings, cleanup 17 | 18 | 19 | tables_ours2anki = {"revs": "revlog", "cards": "cards", "notes": "notes"} 20 | tables_anki2ours = invert_dict(tables_ours2anki) 21 | 22 | fields_file = Path(__file__).parent / "data" / "anki_fields.csv" 23 | fields_df = pd.read_csv(fields_file) 24 | 25 | #: Maps table type to name of the index. E.g. the index of the notes is called 26 | #: nid. 27 | table2index = {"cards": "cid", "notes": "nid", "revs": "rid"} 28 | 29 | our_tables = sorted(tables_ours2anki) 30 | our_columns = { 31 | table: sorted( 32 | fields_df[(fields_df["Table"] == table) & fields_df["Default"]][ 33 | "Column" 34 | ].unique() 35 | ) 36 | for table in our_tables 37 | } 38 | # Remove indices 39 | for table, columns in our_columns.items(): 40 | columns.remove(table2index[table]) 41 | 42 | # hard code this here, because order is important 43 | anki_columns = { 44 | "cards": [ 45 | "id", 46 | "nid", 47 | "did", 48 | "ord", 49 | "mod", 50 | "usn", 51 | "type", 52 | "queue", 53 | "due", 54 | "ivl", 55 | "factor", 56 | "reps", 57 | "lapses", 58 | "left", 59 | "odue", 60 | "odid", 61 | "flags", 62 | "data", 63 | ], 64 | "notes": [ 65 | "id", 66 | "guid", 67 | "mid", 68 | "mod", 69 | "usn", 70 | "tags", 71 | "flds", 72 | "sfld", 73 | "csum", 74 | "flags", 75 | "data", 76 | ], 77 | "revs": [ 78 | "id", 79 | "cid", 80 | "usn", 81 | "ease", 82 | "ivl", 83 | "lastIvl", 84 | "factor", 85 | "time", 86 | "type", 87 | ], 88 | } 89 | 90 | columns_ours2anki = { 91 | table: dict( 92 | zip( 93 | fields_df[(fields_df["Table"] == table) & fields_df["Native"]][ 94 | "Column" 95 | ], 96 | fields_df[(fields_df["Table"] == table) & fields_df["Native"]][ 97 | "AnkiColumn" 98 | ], 99 | ) 100 | ) 101 | for table in our_tables 102 | } 103 | 104 | 105 | columns_anki2ours = { 106 | table: invert_dict(columns_ours2anki[table]) for table in our_tables 107 | } 108 | 109 | value_maps = { 110 | "cards": { 111 | "cqueue": { 112 | -3: "sched buried", 113 | -2: "user buried", 114 | -1: "suspended", 115 | 0: "new", 116 | 1: "learning", 117 | 2: "due", 118 | 3: "in learning", 119 | }, 120 | "ctype": {0: "learning", 1: "review", 2: "relearn", 3: "cram"}, 121 | }, 122 | "revs": {"rtype": {0: "learning", 1: "review", 2: "relearn", 3: "cram"}}, 123 | } 124 | 125 | dtype_casts: dict[str, dict[str, Any]] = { 126 | "notes": {}, 127 | "cards": {}, 128 | "revs": {}, 129 | } 130 | 131 | # todo: more precise? 132 | dtype_casts_back: dict[str, dict[str, Any]] = { 133 | "notes": {}, 134 | "cards": {}, 135 | "revs": {}, 136 | } 137 | 138 | # Avoiding problem with ints to floats such as here: 139 | # https://github.com/pandas-dev/pandas/issues/4094 140 | # Also be careful with platform dependent length of the int type, else this 141 | # causes this error https://stackoverflow.com/questions/38314118/ 142 | # on Windows machines as stated by CalculusAce in 143 | # https://github.com/klieret/AnkiPandas/issues/41 144 | dtype_casts2 = { 145 | "cards": { 146 | "cord": np.int64, 147 | "cmod": np.int64, 148 | "cusn": np.int64, 149 | "cdue": np.int64, 150 | "civl": np.int64, 151 | "cfactor": np.int64, 152 | "creps": np.int64, 153 | "clapses": np.int64, 154 | "cleft": np.int64, 155 | "codue": np.int64, 156 | }, 157 | "notes": {"nmod": np.int64, "nusn": np.int64}, 158 | "revs": { 159 | "cid": np.int64, 160 | "rusn": np.int64, 161 | "rease": np.int64, 162 | "ivl": np.int64, 163 | "lastivl": np.int64, 164 | "rfactor": np.int64, 165 | "rtime": np.int64, 166 | }, 167 | } 168 | dtype_casts_all = copy.deepcopy(dtype_casts2["cards"]) 169 | dtype_casts_all.update(dtype_casts2["notes"]) 170 | dtype_casts_all.update(dtype_casts2["revs"]) 171 | -------------------------------------------------------------------------------- /ankipandas/collection.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import sqlite3 5 | import time 6 | from contextlib import closing 7 | from pathlib import Path, PurePath 8 | from typing import Any 9 | 10 | # ours 11 | import ankipandas.paths 12 | import ankipandas.raw as raw 13 | from ankipandas.ankidf import AnkiDataFrame 14 | from ankipandas.util.log import log 15 | 16 | 17 | class Collection: 18 | def __init__(self, path=None, user=None): 19 | """Initialize :class:`~ankipandas.collection.Collection` object. 20 | 21 | Args: 22 | path: (Search) path to database. See 23 | :py:func:`~ankipandas.paths.db_path_input` for more 24 | information. 25 | user: Anki user name. See 26 | :py:func:`~ankipandas.paths.db_path_input` for more 27 | information. 28 | 29 | Examples: 30 | 31 | .. code-block:: python 32 | 33 | from ankipandas import Collection 34 | 35 | # Let ankipandas find the db for you 36 | col = Collection() 37 | 38 | # Let ankipandas find the db for this user (important if you have 39 | # more than one user account in Anki) 40 | col = Collection(user="User 1") 41 | 42 | # Specify full path to Anki's database 43 | col = Collection("/full/path/to/collection.anki2") 44 | 45 | # Specify partial path to Anki's database and specify user 46 | col = Collection("/partial/path/to/collection", user="User 1") 47 | 48 | """ 49 | path = ankipandas.paths.db_path_input(path, user=user) 50 | 51 | #: Path to currently loaded database 52 | self._path: Path = path 53 | 54 | #: Should be accessed with _get_item! 55 | self.__items: dict[str, AnkiDataFrame | None] = { 56 | "notes": None, 57 | "cards": None, 58 | "revs": None, 59 | } 60 | 61 | #: Should be accessed with _get_original_item! 62 | self.__original_items: dict[str, AnkiDataFrame | None] = { 63 | "notes": None, 64 | "cards": None, 65 | "revs": None, 66 | } 67 | 68 | @property 69 | def path(self) -> Path: 70 | """Path to currently loaded database""" 71 | return self._path 72 | 73 | @property 74 | def db(self) -> sqlite3.Connection: 75 | """Opened Anki database. Make sure to call `db.close()` after you're 76 | done. Better still, use `contextlib.closing`. 77 | """ 78 | log.debug(f"Opening Db from {self._path}") 79 | return raw.load_db(self._path) 80 | 81 | def _get_original_item(self, item): 82 | r = self.__original_items[item] 83 | if r is None: 84 | if item in ["notes", "revs", "cards"]: 85 | r = AnkiDataFrame.init_with_table(self, item) 86 | self.__original_items[item] = r 87 | return r 88 | 89 | def _get_item(self, item): 90 | r = self.__items[item] 91 | if r is None: 92 | r = self._get_original_item(item).copy(True) 93 | self.__items[item] = r 94 | return r 95 | 96 | @property 97 | def notes(self) -> AnkiDataFrame: 98 | """Notes as :class:`ankipandas.ankidf.AnkiDataFrame`.""" 99 | return self._get_item("notes") 100 | 101 | @notes.setter 102 | def notes(self, value): 103 | self.__items["notes"] = value 104 | 105 | @property 106 | def cards(self) -> AnkiDataFrame: 107 | """Cards as :class:`ankipandas.ankidf.AnkiDataFrame`.""" 108 | return self._get_item("cards") 109 | 110 | @cards.setter 111 | def cards(self, value): 112 | self.__items["cards"] = value 113 | 114 | @property 115 | def revs(self) -> AnkiDataFrame: 116 | """Reviews as :class:`ankipandas.ankidf.AnkiDataFrame`.""" 117 | return self._get_item("revs") 118 | 119 | @revs.setter 120 | def revs(self, value): 121 | self.__items["revs"] = value 122 | 123 | def empty_notes(self): 124 | """Similar :class:`ankipandas.ankidf.AnkiDataFrame` 125 | to :attr:`notes`, but without any rows.""" 126 | return AnkiDataFrame.init_with_table(self, "notes", empty=True) 127 | 128 | def empty_cards(self): 129 | """Similar :class:`ankipandas.ankidf.AnkiDataFrame` 130 | to :attr:`cards`, but without any rows.""" 131 | return AnkiDataFrame.init_with_table(self, "cards", empty=True) 132 | 133 | def empty_revs(self): 134 | """Similar :class:`ankipandas.ankidf.AnkiDataFrame` 135 | to :attr:`revs`, but without any rows.""" 136 | return AnkiDataFrame.init_with_table(self, "revs", empty=True) 137 | 138 | def summarize_changes(self, output="print") -> dict[str, dict] | None: 139 | """Summarize changes that were made with respect to the table 140 | as loaded from the database. 141 | If notes/cards/etc. were not loaded at all (and hence also definitely 142 | not modified), they do not appear in the output. 143 | 144 | Args: 145 | output: Output mode: 'print' (default: print) 146 | or 'dict' (return as dictionary of dictionaries of format 147 | ``{: {: }}``. 148 | 149 | Returns: 150 | None or dictionary of dictionaries 151 | """ 152 | if output == "dict": 153 | as_dict = {} 154 | for key, value in self.__items.items(): 155 | if value is not None: 156 | changes = value.summarize_changes(output="dict") 157 | as_dict[key] = changes # type: ignore 158 | return as_dict # type: ignore 159 | elif output == "print": 160 | for key, value in self.__items.items(): 161 | if value is not None: 162 | print(f"======== {key} ========") 163 | value.summarize_changes() 164 | return None # explicit for mypy 165 | else: 166 | raise ValueError(f"Invalid output setting: {output}") 167 | 168 | def _prepare_write_data( 169 | self, modify=False, add=False, delete=False 170 | ) -> dict[str, Any]: 171 | prepared = {} 172 | for key, value in self.__items.items(): 173 | if value is None: 174 | log.debug("Write: Skipping %s, because it's None.", key) 175 | continue 176 | if key in ["notes", "cards", "revs"]: 177 | ndeleted = len(value.was_deleted()) 178 | nmodified = sum(value.was_modified(na=False)) 179 | nadded = sum(value.was_added()) 180 | 181 | if not delete and ndeleted: 182 | raise ValueError( 183 | "You specified delete=False, but {} rows of item " 184 | "{} would be deleted.".format(ndeleted, key) 185 | ) 186 | if not modify and nmodified: 187 | raise ValueError( 188 | "You specified modify=False, but {} rows of item " 189 | "{} would be modified.".format(nmodified, key) 190 | ) 191 | if not add and nadded: 192 | raise ValueError( 193 | "You specified add=False, but {} rows of item " 194 | "{} would be modified.".format(nadded, key) 195 | ) 196 | 197 | if not ndeleted and not nmodified and not nadded: 198 | log.debug( 199 | "Skipping table %s for writing, because nothing " 200 | "seemed to have changed", 201 | key, 202 | ) 203 | continue 204 | 205 | mode = "replace" 206 | if modify and not add and not delete: 207 | mode = "update" 208 | if add and not modify and not delete: 209 | mode = "append" 210 | log.debug("Will update table %s with mode %s", key, mode) 211 | value.check_table_integrity() 212 | raw_table = value.raw() 213 | prepared[key] = {"raw": raw_table, "mode": mode} 214 | 215 | return prepared 216 | 217 | def _get_and_update_info(self) -> dict[str, Any]: 218 | with closing(self.db) as db: 219 | info = raw.get_info(db) 220 | 221 | info_updates = dict( 222 | mod=int(time.time() * 1000), # Modification time stamp 223 | usn=-1, # Signals update needed 224 | ) 225 | if raw.get_db_version(db) == 0: 226 | for key in info_updates: 227 | assert key in info 228 | info.update(info_updates) 229 | elif raw.get_db_version(db) == 1: 230 | assert len(info) == 1 231 | first_key = list(info)[0] 232 | info[first_key].update(info_updates) 233 | # fixme: this currently doesn't work. In the new db structure there's 234 | # a tags table instead of a field, but it doesn't seem to be 235 | # used. 236 | # if self.__items["notes"] is not None: 237 | # 238 | # missing_tags = list( 239 | # set(info["tags"].keys()) 240 | # - set(self.__items["notes"].list_tags()) 241 | # ) 242 | # for tag in missing_tags: 243 | # # I'm assuming that this is the usn (update sequence number) 244 | # # of the tags 245 | # info["tags"][tag] = -1 246 | return info 247 | 248 | def write( 249 | self, 250 | modify=False, 251 | add=False, 252 | delete=False, 253 | backup_folder: PurePath | str | None = None, 254 | _override_exception=False, 255 | ): 256 | """Creates a backup of the database and then writes back the new 257 | data. 258 | 259 | .. danger:: 260 | 261 | The write capabilities of ``AnkiPandas`` have currently been disabled 262 | because of `#137 `_. 263 | Help in fixing this issue would be greatly appreciated! 264 | 265 | .. danger:: 266 | 267 | The switches ``modify``, ``add`` and ``delete`` will run additional 268 | cross-checks, but do not rely on them to 100%! 269 | 270 | .. warning:: 271 | 272 | It is recommended to run :meth:`summarize_changes` before to check 273 | whether the changes match your expectation. 274 | 275 | .. note:: 276 | 277 | Please make sure to thoroughly check your collection in Anki after 278 | every write process! 279 | 280 | Args: 281 | modify: Allow modification of existing items (notes, cards, etc.) 282 | add: Allow adding of new items (notes, cards, etc.) 283 | delete: Allow deletion of items (notes, cards, etc.) 284 | backup_folder: Path to backup folder. If None is given, the backup 285 | is created in the Anki backup directory (if found). 286 | 287 | Returns: 288 | None 289 | """ 290 | if not _override_exception: 291 | raise NotImplementedError( 292 | "The write capabilities of AnkiPandas have currently been disabled" 293 | " because of https://github.com/klieret/AnkiPandas/issues/137/. " 294 | "Help in fixing this issue would be greatly appreciated!" 295 | ) 296 | 297 | if not modify and not add and not delete: 298 | log.warning( 299 | "Please set modify=True, add=True or delete=True, you're" 300 | " literally not allowing me any modification at all." 301 | ) 302 | return None 303 | 304 | try: 305 | prepared = self._prepare_write_data( 306 | modify=modify, add=add, delete=delete 307 | ) 308 | log.debug("Now getting & updating info.") 309 | self._get_and_update_info() 310 | except Exception as e: 311 | log.critical( 312 | "Something went wrong preparing the data for writing. " 313 | "However, no data has been written out, so your " 314 | "database is save!" 315 | ) 316 | raise e 317 | else: 318 | log.debug("Successfully prepared data for writing.") 319 | 320 | if prepared == {}: 321 | log.warning( 322 | "Nothing seems to have been changed. Will not do anything!" 323 | ) 324 | return None 325 | 326 | backup_path = ankipandas.paths.backup_db( 327 | self.path, backup_folder=backup_folder 328 | ) 329 | log.info("Backup created at %s", backup_path.resolve()) 330 | log.warning( 331 | "Currently AnkiPandas might not be able to tell Anki to" 332 | " sync its database. " 333 | "You might have to manually tell Anki to sync everything " 334 | "to AnkiDroid.\n" 335 | "Furthermore, if you run into issues with tag searches not working" 336 | "anymore, please first do Notes > Clear unused notes and then " 337 | "Tools > Check Database (from the main menu). This should get them" 338 | " to work (sorry about this issue)." 339 | ) 340 | 341 | # Actually setting values here, after all conversion tasks have been 342 | # carried out. That way if any of them fails, we don't have a 343 | # partially written collection. 344 | log.debug("Now actually writing to database.") 345 | try: 346 | for table, values in prepared.items(): 347 | log.debug("Now setting table %s.", table) 348 | with closing(self.db) as db: 349 | raw.set_table( 350 | db, values["raw"], table=table, mode=values["mode"] 351 | ) 352 | log.debug("Setting table %s successful.", table) 353 | 354 | if table == "cards": 355 | raw.update_card_indices(db) 356 | 357 | elif table == "notes": 358 | raw.update_note_indices(db) 359 | 360 | # log.debug("Now setting info") 361 | # raw.set_info(self.db, info) 362 | # log.debug("Setting info successful.") 363 | except Exception as e: 364 | log.critical( 365 | "Error while writing data to database at %s. " 366 | "This means that your database might have become corrupted. " 367 | "It's STRONGLY advised that you manually restore the database " 368 | "by replacing it with the backup from %s and restart" 369 | " from scratch. " 370 | "Please also open a bug report at " 371 | "https://github.com/klieret/AnkiPandas/issues/, as errors " 372 | "during the actual writing process should never occur!", 373 | self.path.resolve(), 374 | backup_path.resolve(), 375 | ) 376 | raise e 377 | # This is important, because we have written to the database but still 378 | # have it opened, which can cause DatabaseErrors. 379 | log.debug("I will now drop all copies of the tables") 380 | for key in self.__items: 381 | self.__items[key] = None 382 | for key in self.__original_items: 383 | self.__original_items[key] = None 384 | log.debug("I will now reload the connection.") 385 | self._db = raw.load_db(self.path) 386 | log.info( 387 | "In case you're running this from a Jupyter notebook, make " 388 | "sure to shutdown the kernel or delete all ankipandas objects" 389 | " before you open anki to take a look at the result (only one " 390 | "application can use the database at a time)." 391 | ) 392 | -------------------------------------------------------------------------------- /ankipandas/conftest.py: -------------------------------------------------------------------------------- 1 | from __future__ import annotations 2 | 3 | from ankipandas.util.log import set_debug_log_level 4 | 5 | set_debug_log_level() 6 | -------------------------------------------------------------------------------- /ankipandas/data/anki_fields.csv: -------------------------------------------------------------------------------- 1 | Column,AnkiColumn,Table,Description,Native,Default 2 | cdata,data,cards,Currently unused,TRUE,FALSE 3 | cdeck,,cards,Name of the current deck,FALSE,TRUE 4 | cdue,due,cards,"Due is used differently for different card types: new: note id or random int, due: integer day, relative to the collection's creation time, learning: integer timestamp.",TRUE,TRUE 5 | cfactor,factor,cards,"The new ease factor of the card in permille (parts per thousand). If the ease factor is 2500, the card’s interval will be multiplied by 2.5 the next time you press Good.",TRUE,TRUE 6 | cflags,flags,cards,Currently unused,TRUE,FALSE 7 | cid,cid,revs,ID of the card (this corresponds to a epoch millisecond time stamp from the creating time),TRUE,TRUE 8 | cid,id,cards,ID of the card (this corresponds to a epoch millisecond time stamp from the creating time),TRUE,TRUE 9 | civl,ivl,cards,"The new interval that the card was pushed to after the review. Positive values are in days, negative values are in seconds (for learning cards).",TRUE,TRUE 10 | clapses,lapses,cards,"The number of times the card went from a ""was answered correctly"" to ""was answered incorrectly"" state",TRUE,TRUE 11 | cleft,left,cards,"Of the form ``a*1000+b``, with: ``b`` the number of reps left till graduation and ``a`` the number of reps left today",TRUE,TRUE 12 | cmod,mod,cards,Modification time [epoch seconds],TRUE,TRUE 13 | codeck,,cards,Original deck: only used when the card is currently in filtered deck,FALSE,TRUE 14 | codid,odid,cards,Original did: only used when the card is currently in filtered deck,TRUE,FALSE 15 | codue,odue,cards,Original due: only used when the card is currently in filtered deck,TRUE,TRUE 16 | cord,ord,cards,Identifies which of the card templates the card corresponds to. Valid values are from 0 to num templates -1,TRUE,TRUE 17 | cqueue,queue,cards,"Can take the value ‘sched buried’, ‘user buried’, ‘suspended’, ‘new’, ‘learning’, ‘due’, ‘in learning’ (learning but next rev at least a day after the previous review). In the raw Anki database, these values are encoded as -3=sched buried, -2=user buried, -1=suspended, 0=new, 1=learning, 2=due (as for type), 3=in learning.",TRUE,TRUE 18 | creps,reps,cards,Number of reviews,TRUE,TRUE 19 | ctype,type,cards,"Can take the values ‘learning’, ‘review’, ‘relearn’, ‘cram’ (cards being studied in a filtered deck when they are not due). In the raw Anki database, these values are encoded as 0=learning, 1=review, 2=relearn, and 3=cram.",TRUE,TRUE 20 | cusn,usn,cards,This column (update sequence number) is used to keep track of the sync state of reviews and provides no useful information for analysis.Value of -1 indicates changes that need to be pushed to server. usn < server usn indicates changes that need to be pulled from server.,TRUE,TRUE 21 | did,did,cards,ID of the deck,TRUE,FALSE 22 | mid,mid,notes,Model ID,TRUE,FALSE 23 | ncsum,csum,notes,Field checksum used for duplicate check: Integer representation of first 8 digits of sha1 hash of the first field. See source code for details.,TRUE,FALSE 24 | ndata,data,notes,Currently unused,TRUE,FALSE 25 | nflags,flags,notes,Currently unused,TRUE,FALSE 26 | nflds,flds,notes,Fields of the card as list. In the raw anki database the fields are encoded as a string joined by ‘\x1f’ characters.,TRUE,TRUE 27 | nguid,guid,notes,"Globally Unique Id, almost certainly used for syncing",TRUE,TRUE 28 | nid,id,notes,ID of the note (this corresponds to a epoch millisecond time stamp from the creating time),TRUE,TRUE 29 | nid,nid,cards,ID of the note (this corresponds to a epoch millisecond time stamp from the creating time),TRUE,TRUE 30 | nmod,mod,notes,"Modification timestamp, epoch seconds",TRUE,TRUE 31 | nmodel,,notes,Name of the model,FALSE,TRUE 32 | nsfld,sfld,notes,Content of the sort field.,TRUE,FALSE 33 | ntags,tags,notes,Tags of the note as list. In the raw anki database tags are saved space joined string.,TRUE,TRUE 34 | nusn,usn,notes,This column (update sequence number) is used to keep track of the sync state of reviews and provides no useful information for analysis.Value of -1 indicates changes that need to be pushed to server. usn < server usn indicates changes that need to be pulled from server.,TRUE,TRUE 35 | rease,ease,revs,"Which button you pushed to score your recall: review: 1 (wrong), 2 (hard), 3 (ok), 4 (easy), learn/relearn: 1 (wrong), 2 (ok), 3 (easy)",TRUE,TRUE 36 | rfactor,factor,revs,"The new ease factor of the card in permille (parts per thousand). If the ease factor is 2500, the card’s interval will be multiplied by 2.5 the next time you press Good.",TRUE,TRUE 37 | rid,id,revs,ID of the review (this corresponds to a epoch millisecond time stamp from the creating time),TRUE,TRUE 38 | rivl,ivl,revs,"The new interval that the card was pushed to after the review. Positive values are in days, negative values are in seconds (for learning cards).",TRUE,TRUE 39 | rlastIvl,lastIvl,revs,Last interval,TRUE,TRUE 40 | rtime,time,revs,"How many milliseconds your review took, up to 60000 (60s)",TRUE,TRUE 41 | rtype,type,revs,"Values: ‘learning’, ‘review’, ‘relearn’, ‘cram’ (cards being studied in a filtered deck when they are not due). In the raw Anki database this is 0 for learning cards, 1 for review cards, 2 for relearn cards, and 3 for cram cards. ",TRUE,TRUE 42 | rusn,usn,revs,This column (update sequence number) is used to keep track of the sync state of reviews and provides no useful information for analysis.Value of -1 indicates changes that need to be pushed to server. usn < server usn indicates changes that need to be pulled from server.,TRUE,TRUE 43 | -------------------------------------------------------------------------------- /ankipandas/paths.py: -------------------------------------------------------------------------------- 1 | """ Convenience functions to find the database and other system locations 2 | without the user having to specify full paths. 3 | """ 4 | 5 | from __future__ import annotations 6 | 7 | import collections 8 | import datetime 9 | 10 | # std 11 | import os 12 | import shutil 13 | from functools import lru_cache 14 | from pathlib import Path, PurePath 15 | from typing import DefaultDict 16 | 17 | # ours 18 | from ankipandas.util.log import log 19 | 20 | 21 | @lru_cache(32) 22 | def _find_db( 23 | search_path, 24 | maxdepth=6, 25 | filename="collection.anki2", 26 | break_on_first=False, 27 | user: str | None = None, 28 | ) -> DefaultDict[str, list[Path]]: 29 | """ 30 | Like find_database but only for one search path at a time. Also doesn't 31 | raise any error, even if the search path doesn't exist. 32 | 33 | Args: 34 | search_path: 35 | maxdepth: Maximum depth relative to search_path 36 | filename: 37 | break_on_first: Break on first search result 38 | user: Only search for this user 39 | 40 | Returns: 41 | collection.defaultdict({user: [list of results]}) 42 | """ 43 | search_path = Path(search_path) 44 | if not search_path.exists(): 45 | log.debug("_find_db: Search path %r does not exist.", str(search_path)) 46 | return collections.defaultdict(list) 47 | if search_path.is_file(): 48 | if search_path.name == filename: 49 | return collections.defaultdict( 50 | list, {search_path.parent.name: [search_path]} 51 | ) 52 | else: 53 | log.warning( 54 | "_find_db: Search path %r is a file, but filename does not " 55 | "match that of %r.", 56 | str(search_path), 57 | filename, 58 | ) 59 | return collections.defaultdict(list) 60 | found: DefaultDict[str, list[Path]] = collections.defaultdict(list) 61 | for root, dirs, files in os.walk(str(search_path)): 62 | if filename in files: 63 | _user = os.path.basename(root) 64 | if user and not _user == user: 65 | continue 66 | found[_user].append(Path(root) / filename) 67 | if break_on_first: 68 | log.debug("_find_db: Breaking after first hit.") 69 | break 70 | depth = len(Path(root).relative_to(search_path).parts) 71 | if maxdepth and depth >= maxdepth: 72 | # log.debug( 73 | # "_find_db: Abort search at %r. " 74 | # "Max depth exceeded.", 75 | # str(root) 76 | # ) 77 | del dirs[:] 78 | return found 79 | 80 | 81 | @lru_cache(32) 82 | def find_db( 83 | search_paths=None, 84 | maxdepth=8, 85 | filename="collection.anki2", 86 | user=None, 87 | break_on_first=True, 88 | ) -> Path: 89 | """ 90 | Find path to anki2 database. 91 | 92 | Args: 93 | search_paths: Search path as string or pathlib object or list/iterable 94 | thereof. If None, some search paths are set by default. 95 | maxdepth: Maximal search depth. 96 | filename: Filename of the collection (default: ``collections.anki2``) 97 | user: Username to which the collection belongs. If None, search for 98 | databases of any user. 99 | break_on_first: Stop searching once a database is found. This is 100 | obviously faster, but you will not get any errors if there are 101 | multiple databases matching your criteria. 102 | 103 | Raises: 104 | If none or more than one result is found: :class:`ValueError` 105 | 106 | Returns: 107 | Path to the anki2 database 108 | """ 109 | if not search_paths: 110 | log.info( 111 | "Searching for database. This might take some time. " 112 | "You can speed this up by specifying a search path or " 113 | "directly entering the path to your database." 114 | ) 115 | search_paths = [ 116 | "~/.local/share/Anki2/", 117 | "~/Documents/Anki2", 118 | Path(os.getenv("APPDATA", "~") + "/Anki2/"), 119 | "~/.local/share/Anki2", 120 | Path.home(), 121 | ] 122 | search_paths = [Path(sp).expanduser().resolve() for sp in search_paths] 123 | if break_on_first: 124 | log.warning( 125 | "The search will stop at the first hit, so please verify that " 126 | "the result is correct (for example in case there might be more " 127 | "than one Anki installation)" 128 | ) 129 | if isinstance(search_paths, (str, PurePath)): 130 | search_paths = [search_paths] 131 | found: dict[str, list[Path]] = {} 132 | for search_path in search_paths: 133 | found = { 134 | **found, 135 | **_find_db( 136 | search_path, 137 | maxdepth=maxdepth, 138 | filename=filename, 139 | user=user, 140 | break_on_first=break_on_first, 141 | ), 142 | } 143 | if break_on_first: 144 | if user is not None: 145 | if user in found: 146 | break 147 | else: 148 | if found: 149 | break 150 | 151 | if user: 152 | # We were searching for a specific user 153 | if user not in found: 154 | raise ValueError( 155 | f"Could not find database belonging to user {user}" 156 | ) 157 | else: 158 | results_user = found[user] 159 | else: 160 | if len(found) >= 2: 161 | raise ValueError( 162 | "Found databases for more than one user: {}. Please specify " 163 | "the user.".format(", ".join(found)) 164 | ) 165 | elif not found: 166 | raise ValueError( 167 | "No database found. You might increase the search depth or " 168 | "specify search paths to find more." 169 | ) 170 | else: 171 | # No user specified but we found only one 172 | results_user = found.popitem()[1] 173 | 174 | if len(results_user) >= 2: 175 | raise ValueError( 176 | "Found more than one database belonging to user {} at {}".format( 177 | user, ", ".join(map(str, results_user)) 178 | ) 179 | ) 180 | 181 | assert len(results_user) == 1 182 | final_result = results_user[0] 183 | log.debug("Database found at %r.", final_result) 184 | return final_result 185 | 186 | 187 | @lru_cache(32) 188 | def db_path_input( 189 | path: str | PurePath | None = None, user: str | None = None 190 | ) -> Path: 191 | """Helper function to interpret user input of path to database. 192 | 193 | 1. If no path is given, we search through some default locations 194 | 2. If path points to a file: Take that file 195 | 3. If path points to a directory: Search in that directory 196 | 197 | Args: 198 | path: Path to database or search path or None 199 | user: User name of anki collection or None 200 | 201 | Returns: 202 | Path to anki database as :class:`Path` object 203 | 204 | Raises: 205 | If path does not exist: :class:`FileNotFoundError` 206 | In various other cases: :class:`ValueError` 207 | """ 208 | if path is None: 209 | result = find_db(user=user) 210 | else: 211 | path = Path(path) 212 | if not path.exists(): 213 | raise FileNotFoundError( 214 | f"db_path_input: File '{str(path)}' does not exist." 215 | ) 216 | if path.is_file(): 217 | log.debug( 218 | "db_path_input: Database explicitly set to %r.", str(path) 219 | ) 220 | result = path 221 | else: 222 | result = find_db( 223 | search_paths=(path,), user=user, break_on_first=False 224 | ) 225 | log.info("Database found at %r.", str(result)) 226 | if result: 227 | return result 228 | else: 229 | raise ValueError("Database could not be found.") 230 | 231 | 232 | def db_backup_file_name() -> str: 233 | """Time based file name of the backup file.""" 234 | return "backup-ankipandas-{}.anki2".format( 235 | datetime.datetime.now().strftime("%Y-%m-%d-%H.%M.%S.%f") 236 | ) 237 | 238 | 239 | def get_anki_backup_folder(path: str | PurePath, nexist="raise") -> Path: 240 | """Return path to Anki backup folder. 241 | 242 | Args: 243 | path: Path to Aki database as :class:`Path` 244 | nexist: What to do if backup folder doesn't seem to exist: ``raise`` or 245 | ``ignore``. 246 | 247 | Returns: 248 | Path to Anki backup folder as :class:`Path`. 249 | """ 250 | path = Path(path) 251 | if not path.is_file(): 252 | raise FileNotFoundError(f"Database path {path} seems to be invalid.") 253 | backup_folder = path.parent / "backups" 254 | if nexist == "raise" and not backup_folder.is_dir(): 255 | raise ValueError( 256 | f"Anki backup folder corresponding to database at {path} doesn't seem" 257 | " to exist. Perhaps you can specify a custom backup " 258 | "folder?" 259 | ) 260 | return backup_folder 261 | 262 | 263 | def backup_db( 264 | db_path: str | PurePath, 265 | backup_folder: str | PurePath | None = None, 266 | ) -> Path: 267 | """ 268 | Back up database file. 269 | 270 | Args: 271 | db_path: Path to database 272 | backup_folder: Path to backup folder. If None is given, the backup is 273 | created in the Anki backup directory. 274 | 275 | Returns: 276 | Path to newly created backup file as :class:`Path`. 277 | """ 278 | db_path = Path(db_path) 279 | if backup_folder: 280 | backup_folder = Path(backup_folder) 281 | if not backup_folder.is_dir(): 282 | log.debug("Creating backup directory %s.", backup_folder) 283 | backup_folder.mkdir(parents=True) 284 | else: 285 | backup_folder = get_anki_backup_folder(db_path, nexist="raise") 286 | if not db_path.is_file(): 287 | raise FileNotFoundError("Database does not seem to exist.") 288 | backup_path = backup_folder / db_backup_file_name() 289 | shutil.copy2(str(db_path), str(backup_path)) 290 | return backup_path 291 | -------------------------------------------------------------------------------- /ankipandas/raw.py: -------------------------------------------------------------------------------- 1 | """ These function implement the more direct interactions with the Anki 2 | database and provide basic functionality that is then used to implement the 3 | functionality in :class:`~ankipandas.collection.Collection`, 4 | :class:`ankipandas.ankidf.AnkiDataFrame` etc. 5 | 6 | .. warning:: 7 | 8 | Please only use these function if you know what you are doing, as they 9 | come with less consistency checks as the functionality implemented in 10 | :class:`~ankipandas.collection.Collection` and 11 | :class:`ankipandas.ankidf.AnkiDataFrame`. 12 | Also note that the functions here are considered to be internal, i.e. might 13 | change without prior notice. 14 | """ 15 | 16 | from __future__ import annotations 17 | 18 | import json 19 | import pathlib 20 | import sqlite3 21 | 22 | # std 23 | from collections import defaultdict 24 | from functools import lru_cache 25 | 26 | import numpy as np 27 | 28 | # 3rd 29 | import pandas as pd 30 | 31 | from ankipandas._columns import anki_columns, tables_ours2anki 32 | 33 | # ours 34 | from ankipandas.util.log import log 35 | from ankipandas.util.misc import defaultdict2dict, nested_dict 36 | 37 | CACHE_SIZE = 32 38 | 39 | 40 | # Open/Close db 41 | # ============================================================================== 42 | 43 | 44 | def load_db(path: str | pathlib.PurePath) -> sqlite3.Connection: 45 | """ 46 | Load database from path. 47 | 48 | Args: 49 | path: String or :class:`pathlib.PurePath`. 50 | 51 | Returns: 52 | :class:`sqlite3.Connection` 53 | """ 54 | path = pathlib.Path(path) 55 | if not path.is_file(): 56 | raise FileNotFoundError(f"Not a file/file not found: {path}") 57 | return sqlite3.connect(str(path.resolve())) 58 | 59 | 60 | def close_db(db: sqlite3.Connection) -> None: 61 | """Close the database. 62 | 63 | Args: 64 | db: Database (:class:`sqlite3.Connection`) 65 | 66 | Returns: 67 | None 68 | """ 69 | db.close() 70 | 71 | 72 | # Basic getters 73 | # ============================================================================== 74 | 75 | 76 | def get_table(db: sqlite3.Connection, table: str) -> pd.DataFrame: 77 | """Get raw table from the Anki database. 78 | 79 | Args: 80 | db: Database (:class:`sqlite3.Connection`) 81 | table: ``cards``, ``notes`` or ``revs`` 82 | 83 | Returns: 84 | :class:`pandas.DataFrame` 85 | """ 86 | 87 | df = pd.read_sql_query(f"SELECT * FROM {tables_ours2anki[table]}", db) 88 | return df 89 | 90 | 91 | def get_empty_table(table: str) -> pd.DataFrame: 92 | """Get empty table 93 | 94 | Args: 95 | table: ``cards``, ``notes`` or ``revs`` 96 | 97 | Returns: 98 | :class: `pandas.DataFrame` 99 | """ 100 | return pd.DataFrame(columns=anki_columns[table]) 101 | 102 | 103 | def _interpret_json_val(val): 104 | if isinstance(val, str) and val: 105 | try: 106 | return json.loads(val) 107 | except json.decoder.JSONDecodeError: 108 | return val 109 | # msg = ( 110 | # "AN ERROR OCCURRED WHILE TRYING TO LOAD INFORMATION " 111 | # "FROM THE DATABASE. PLEASE COPY THE WHOLE INFORMATION" 112 | # " BELOW AND ABOVE AND OPEN A BUG REPORT ON GITHUB!\n\n" 113 | # ) 114 | # msg += "value to be parsed: {}".format(repr(val)) 115 | # log.critical(msg) 116 | # raise 117 | else: 118 | return val 119 | 120 | 121 | def read_info(db: sqlite3.Connection, table_name: str) -> dict: 122 | """Get a table from the database and return nested dictionary mapping of 123 | it. 124 | 125 | Args: 126 | db: 127 | table_name: 128 | 129 | Returns: 130 | 131 | """ 132 | version = get_db_version(db) 133 | _df = pd.read_sql_query(f"SELECT * FROM {table_name} ", db) 134 | if version == 0: 135 | assert len(_df) == 1, _df 136 | ret = nested_dict() 137 | for col in _df.columns: 138 | ret[col] = _interpret_json_val(_df[col][0]) 139 | elif version == 1: 140 | ret = nested_dict() 141 | cols = _df.columns 142 | # todo: this is a hack, but oh well: 143 | index_cols = 1 144 | if len(_df[cols[0]].unique()) != len(_df): 145 | index_cols = 2 146 | for row in _df.iterrows(): 147 | row = row[1].to_list() 148 | if index_cols == 1: 149 | for icol in range(1, len(cols)): 150 | ret[row[0]][cols[icol]] = _interpret_json_val(row[icol]) 151 | elif index_cols == 2: 152 | for icol in range(2, len(cols)): 153 | ret[row[0]][row[1]][cols[icol]] = _interpret_json_val( 154 | row[icol] 155 | ) 156 | else: 157 | raise ValueError 158 | else: 159 | raise NotImplementedError 160 | return defaultdict2dict(ret) 161 | 162 | 163 | @lru_cache(CACHE_SIZE) 164 | def get_info(db: sqlite3.Connection) -> dict: 165 | """ 166 | Get all other information from the database, e.g. information about models, 167 | decks etc. 168 | 169 | Args: 170 | db: Database (:class:`sqlite3.Connection`) 171 | 172 | Returns: 173 | Nested dictionary. 174 | """ 175 | return read_info(db, "col") 176 | 177 | 178 | @lru_cache(CACHE_SIZE) 179 | def get_db_version(db: sqlite3.Connection) -> int: 180 | """Get "version" of database structure 181 | 182 | Args: 183 | db: 184 | 185 | Returns: 0: all info (also for decks and models) was in the 'col' table 186 | 1: separate 'notetypes' and 'decks' tables 187 | 188 | """ 189 | _tables = ( 190 | db.cursor() 191 | .execute( 192 | "SELECT name FROM sqlite_master " 193 | "WHERE type ='table' AND name NOT LIKE 'sqlite_%';" 194 | ) 195 | .fetchall() 196 | ) 197 | tables = [ret[0] for ret in _tables] 198 | if "decks" in tables: 199 | return 1 200 | else: 201 | return 0 202 | 203 | 204 | # Basic Setters 205 | # ============================================================================== 206 | 207 | 208 | def _consolidate_tables( 209 | df: pd.DataFrame, df_old: pd.DataFrame, mode: str, id_column="id" 210 | ): 211 | if not list(df.columns) == list(df_old.columns): 212 | raise ValueError( 213 | "Columns do not match: Old: {}, New: {}".format( 214 | ", ".join(df_old.columns), ", ".join(df.columns) 215 | ) 216 | ) 217 | 218 | old_indices = set(df_old[id_column]) 219 | new_indices = set(df[id_column]) 220 | 221 | # Get indices 222 | # ----------- 223 | 224 | if mode == "update": 225 | indices = set(old_indices) 226 | elif mode == "append": 227 | indices = set(new_indices) - set(old_indices) 228 | if not indices: 229 | log.warning( 230 | "Was told to append to table, but there do not seem to be any" 231 | " new entries. " 232 | ) 233 | elif mode == "replace": 234 | indices = set(new_indices) 235 | else: 236 | raise ValueError(f"Unknown mode '{mode}'.") 237 | 238 | df = df[df[id_column].isin(indices)] 239 | 240 | # Apply 241 | # ----- 242 | 243 | if mode == "update": 244 | df_new = df_old.copy() 245 | df_new.update(df) 246 | elif mode == "append": 247 | df_new = pd.concat([df_old, df], verify_integrity=True) 248 | elif mode == "replace": 249 | df_new = df.copy() 250 | else: 251 | raise ValueError(f"Unknown mode '{mode}'.") 252 | 253 | return df_new 254 | 255 | 256 | # fixme: update mode also can delete things if we do not have all rows 257 | def set_table( 258 | db: sqlite3.Connection, 259 | df: pd.DataFrame, 260 | table: str, 261 | mode: str, 262 | id_column="id", 263 | ) -> None: 264 | """ 265 | Write table back to database. 266 | 267 | Args: 268 | db: Database (:class:`sqlite3.Connection`) 269 | df: The :class:`pandas.DataFrame` to write 270 | table: Table to write to: 'notes', 'cards', 'revs' 271 | mode: 'update': Update all existing entries, 'append': Only append new 272 | entries, but do not modify, 'replace': Append, modify and delete 273 | id_column: Column with ID 274 | Returns: 275 | None 276 | """ 277 | df_old = get_table(db, table) 278 | df_new = _consolidate_tables( 279 | df=df, df_old=df_old, mode=mode, id_column=id_column 280 | ) 281 | df_new.to_sql(tables_ours2anki[table], db, if_exists="replace", index=False) 282 | 283 | 284 | class NumpyJSONEncoder(json.JSONEncoder): 285 | """JSON Encoder that support numpy datatypes by converting them to 286 | built in datatypes.""" 287 | 288 | def default(self, obj): 289 | if isinstance(obj, np.integer): 290 | return int(obj) 291 | elif isinstance(obj, np.floating): 292 | return float(obj) 293 | elif isinstance(obj, np.ndarray): 294 | return obj.tolist() 295 | else: 296 | return super().default(obj) 297 | 298 | 299 | def set_info(db: sqlite3.Connection, info: dict) -> None: 300 | """Write back extra info to database 301 | 302 | Args: 303 | db: Database (:class:`sqlite3.Connection`) 304 | info: Output of :func:`get_info` 305 | 306 | Returns: 307 | None 308 | """ 309 | 310 | def encode_value(value): 311 | if isinstance(value, (float, np.floating)): 312 | return value 313 | elif isinstance(value, (int, np.integer)): 314 | return value 315 | elif isinstance(value, str): 316 | return value 317 | else: 318 | return json.dumps(value, cls=NumpyJSONEncoder) 319 | 320 | info_json_strings = { 321 | key: encode_value(value) for key, value in info.items() 322 | } 323 | df = pd.DataFrame(info_json_strings, index=[0]) 324 | df.to_sql("col", db, if_exists="replace", index=False) 325 | 326 | 327 | def update_note_indices(db: sqlite3.Connection) -> None: 328 | """Update search indices for 'notes' table. This does not modify any information 329 | in the table itself. 330 | See https://github.com/klieret/AnkiPandas/issues/124 for more informationl 331 | """ 332 | cur = db.cursor() 333 | cur.execute("CREATE INDEX IF NOT EXISTS idx_notes_mid ON notes (mid)") 334 | cur.execute("CREATE INDEX IF NOT EXISTS ix_notes_csum on notes (csum)") 335 | cur.execute("CREATE INDEX IF NOT EXISTS ix_notes_usn on notes (usn)") 336 | 337 | 338 | def update_card_indices(db: sqlite3.Connection) -> None: 339 | """Update search indices for 'cards' table. This does not modify any information 340 | in the table itself. 341 | See https://github.com/klieret/AnkiPandas/issues/124 for more informationl 342 | """ 343 | cur = db.cursor() 344 | cur.execute( 345 | "CREATE INDEX IF NOT EXISTS idx_cards_odid ON cards (odid) WHERE odid != 0" 346 | ) 347 | cur.execute("CREATE INDEX IF NOT EXISTS ix_cards_nid on cards (nid)") 348 | cur.execute( 349 | "CREATE INDEX IF NOT EXISTS ix_cards_sched on cards (did, queue, due)" 350 | ) 351 | cur.execute("CREATE INDEX IF NOT EXISTS ix_cards_usn on cards (usn)") 352 | 353 | 354 | # Trivially derived getters 355 | # ============================================================================== 356 | 357 | # todo: Using decorators here causes the function signatures to be messed up 358 | # with sphinx but oh well. 359 | 360 | 361 | @lru_cache(CACHE_SIZE) 362 | def get_ids(db: sqlite3.Connection, table: str) -> list[int]: 363 | """Get list of IDs, e.g. note IDs etc. 364 | 365 | Args: 366 | db: Database (:class:`sqlite3.Connection`) 367 | table: 'revs', 'cards', 'notes' 368 | 369 | Returns: 370 | Nested dictionary 371 | """ 372 | return get_table(db, table)["id"].astype(int).tolist() 373 | 374 | 375 | @lru_cache(CACHE_SIZE) 376 | def get_deck_info(db: sqlite3.Connection) -> dict: 377 | """Get information about decks. 378 | 379 | Args: 380 | db: Database (:class:`sqlite3.Connection`) 381 | 382 | Returns: 383 | Nested dictionary 384 | """ 385 | if get_db_version(db) == 0: 386 | _dinfo = get_info(db)["decks"] 387 | elif get_db_version(db) == 1: 388 | _dinfo = read_info(db, "decks") 389 | else: 390 | raise NotImplementedError 391 | 392 | if not _dinfo: 393 | return {} 394 | else: 395 | return _dinfo 396 | 397 | 398 | @lru_cache(CACHE_SIZE) 399 | def get_did2deck(db: sqlite3.Connection) -> dict[int, str]: 400 | """Mapping of deck IDs (did) to deck names. 401 | 402 | Args: 403 | db: Database (:class:`sqlite3.Connection`) 404 | 405 | Returns: 406 | Dictionary mapping 407 | """ 408 | dinfo = get_deck_info(db) 409 | _did2dec = {int(did): dinfo[did]["name"] for did in dinfo} 410 | return defaultdict(str, _did2dec) 411 | 412 | 413 | @lru_cache(CACHE_SIZE) 414 | def get_deck2did(db: sqlite3.Connection) -> dict[str, int]: 415 | """Mapping of deck names to deck IDs 416 | 417 | Args: 418 | db: Database (:class:`sqlite3.Connection`) 419 | 420 | Returns: 421 | Dictionary mapping of deck id to deck name 422 | """ 423 | dinfo = get_deck_info(db) 424 | _did2dec = {dinfo[did]["name"]: int(did) for did in dinfo} 425 | return defaultdict(int, _did2dec) 426 | 427 | 428 | @lru_cache(CACHE_SIZE) 429 | def get_model_info(db: sqlite3.Connection) -> dict: 430 | """Get information about models. 431 | 432 | Args: 433 | db: Database (:class:`sqlite3.Connection`) 434 | 435 | Returns: 436 | Nested dictionary 437 | """ 438 | if get_db_version(db) == 0: 439 | _dinfo = get_info(db)["models"] 440 | elif get_db_version(db) == 1: 441 | _dinfo = read_info(db, "notetypes") 442 | else: 443 | raise NotImplementedError 444 | if not _dinfo: 445 | return {} 446 | else: 447 | return {int(key): value for key, value in _dinfo.items()} 448 | 449 | 450 | @lru_cache(CACHE_SIZE) 451 | def get_mid2model(db: sqlite3.Connection) -> dict[int, str]: 452 | """Mapping of model IDs (mid) to model names. 453 | 454 | Args: 455 | db: Database (:class:`sqlite3.Connection`) 456 | 457 | Returns: 458 | Dictionary mapping 459 | """ 460 | minfo = get_model_info(db) 461 | _mid2model = {int(mid): minfo[mid]["name"] for mid in minfo} 462 | return defaultdict(str, _mid2model) 463 | 464 | 465 | @lru_cache(CACHE_SIZE) 466 | def get_model2mid(db: sqlite3.Connection) -> dict[str, int]: 467 | """Mapping of model name to model ID (mid) 468 | 469 | Args: 470 | db: Database (:class:`sqlite3.Connection`) 471 | 472 | Returns: 473 | Dictionary mapping 474 | """ 475 | minfo = get_model_info(db) 476 | _mid2model = {minfo[mid]["name"]: int(mid) for mid in minfo} 477 | return defaultdict(int, _mid2model) 478 | 479 | 480 | @lru_cache(CACHE_SIZE) 481 | def get_mid2sortfield(db: sqlite3.Connection) -> dict[int, int]: 482 | """Mapping of model ID to index of sort field.""" 483 | if get_db_version(db) == 0: 484 | minfo = get_model_info(db) 485 | _mid2sortfield = {mid: minfo[mid]["sortf"] for mid in minfo} 486 | return defaultdict(int, _mid2sortfield) 487 | else: 488 | # fixme: Don't know how to retrieve sort field yet 489 | minfo = get_model_info(db) 490 | return {mid: 0 for mid in minfo} 491 | 492 | 493 | @lru_cache(CACHE_SIZE) 494 | def get_mid2fields(db: sqlite3.Connection) -> dict[int, list[str]]: 495 | """Get mapping of model ID to field names. 496 | 497 | Args: 498 | db: Database (:class:`sqlite3.Connection`) 499 | 500 | Returns: 501 | Dictionary mapping of model ID (mid) to list of field names. 502 | """ 503 | if get_db_version(db) == 0: 504 | minfo = get_model_info(db) 505 | return { 506 | int(mid): [flds["name"] for flds in minfo[mid]["flds"]] 507 | for mid in minfo 508 | } 509 | elif get_db_version(db) == 1: 510 | finfo = read_info(db, "fields") 511 | mid2fields = { 512 | int(mid): [finfo[mid][ord]["name"] for ord in finfo[mid]] 513 | for mid in finfo 514 | } 515 | return mid2fields 516 | else: 517 | raise NotImplementedError 518 | 519 | 520 | @lru_cache(CACHE_SIZE) 521 | def get_mid2templateords(db: sqlite3.Connection) -> dict[int, list[int]]: 522 | """Get mapping of model ID to available templates ids 523 | 524 | Args: 525 | db: 526 | 527 | Returns: 528 | 529 | """ 530 | if get_db_version(db) == 0: 531 | minfo = get_model_info(db) 532 | return {mid: [x["ord"] for x in minfo[mid]["tmpls"]] for mid in minfo} 533 | elif get_db_version(db) == 1: 534 | tinfo = read_info(db, "templates") 535 | return {int(mid): [int(x) for x in tinfo[mid]] for mid in tinfo} 536 | else: 537 | raise NotImplementedError 538 | 539 | 540 | @lru_cache(CACHE_SIZE) 541 | def get_cid2nid(db: sqlite3.Connection) -> dict[int, int]: 542 | """Mapping card ID to note ID. 543 | 544 | Args: 545 | db: Database (:class:`sqlite3.Connection`) 546 | 547 | Returns: 548 | Dictionary 549 | """ 550 | cards = get_table(db, "cards") 551 | _cid2nid = dict(zip(cards["id"], cards["nid"])) 552 | return defaultdict(int, _cid2nid) 553 | 554 | 555 | @lru_cache(CACHE_SIZE) 556 | def get_cid2did(db: sqlite3.Connection) -> dict[int, int]: 557 | """Mapping card ID to deck ID. 558 | 559 | Args: 560 | db: Database (:class:`sqlite3.Connection`) 561 | 562 | Returns: 563 | Dictionary 564 | """ 565 | cards = get_table(db, "cards") 566 | _cid2did = dict(zip(cards["id"], cards["did"])) 567 | return defaultdict(int, _cid2did) 568 | 569 | 570 | @lru_cache(CACHE_SIZE) 571 | def get_nid2mid(db: sqlite3.Connection) -> dict[int, int]: 572 | """Mapping note ID to model ID. 573 | 574 | Args: 575 | db: Database (:class:`sqlite3.Connection`) 576 | 577 | Returns: 578 | Dictionary 579 | """ 580 | notes = get_table(db, "notes") 581 | _nid2mid = dict(zip(notes["id"], notes["mid"])) 582 | return defaultdict(int, _nid2mid) 583 | -------------------------------------------------------------------------------- /ankipandas/test/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/ankipandas/test/__init__.py -------------------------------------------------------------------------------- /ankipandas/test/data/few_basic_cards/collection.anki2: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/ankipandas/test/data/few_basic_cards/collection.anki2 -------------------------------------------------------------------------------- /ankipandas/test/data/few_basic_cards/collection_v1.anki2: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/ankipandas/test/data/few_basic_cards/collection_v1.anki2 -------------------------------------------------------------------------------- /ankipandas/test/test_ankidf.py: -------------------------------------------------------------------------------- 1 | """ Most of the functionality of the AnkiDataFrames is already tested in 2 | test_core, because that saves to write a lot of duplicate code. 3 | 4 | Everything else is tested here. 5 | """ 6 | 7 | from __future__ import annotations 8 | 9 | import copy 10 | 11 | # std 12 | import pathlib 13 | import unittest 14 | 15 | # 3rd 16 | import numpy as np 17 | 18 | import ankipandas._columns as _columns 19 | import ankipandas.raw as raw 20 | from ankipandas._columns import our_columns 21 | 22 | # ours 23 | from ankipandas.ankidf import AnkiDataFrame as AnkiDF 24 | from ankipandas.collection import Collection 25 | from ankipandas.util.log import set_debug_log_level 26 | 27 | 28 | class TestAnkiDF(unittest.TestCase): 29 | db_path = ( 30 | pathlib.Path(__file__).parent 31 | / "data" 32 | / "few_basic_cards" 33 | / "collection.anki2" 34 | ) 35 | 36 | def setUp(self): 37 | set_debug_log_level() 38 | self.db = raw.load_db(self.db_path) 39 | 40 | self.col = Collection(self.db_path) 41 | 42 | # Do not modify this one! 43 | self.notes = self.col.notes 44 | self.cards = self.col.cards 45 | self.revs = self.col.revs 46 | self.table2adf = { 47 | "notes": self.notes, 48 | "cards": self.cards, 49 | "revs": self.revs, 50 | } 51 | self.adfs = [self.notes, self.cards, self.revs] 52 | 53 | self.empty_notes = self.col.empty_notes() 54 | self.empty_cards = self.col.empty_cards() 55 | self.empty_revs = self.col.empty_revs() 56 | 57 | def nnotes(self): 58 | return self.notes.copy() 59 | 60 | def ncards(self): 61 | return self.cards.copy() 62 | 63 | def nrevs(self): 64 | return self.revs.copy() 65 | 66 | def nenotes(self): 67 | return self.empty_notes.copy() 68 | 69 | def necards(self): 70 | return self.empty_cards.copy() 71 | 72 | def nerevs(self): 73 | return self.empty_revs.copy() 74 | 75 | def ntable(self, table): 76 | if table == "notes": 77 | return self.nnotes() 78 | elif table == "cards": 79 | return self.ncards() 80 | elif table == "revs": 81 | return self.nrevs() 82 | else: 83 | raise ValueError("Unknown table") 84 | 85 | def ntable2adf(self): 86 | return { 87 | "notes": self.nnotes(), 88 | "cards": self.ncards(), 89 | "revs": self.nrevs(), 90 | } 91 | 92 | def nadfs(self): 93 | return [self.nnotes(), self.ncards(), self.nrevs()] 94 | 95 | # Test constructors 96 | # ========================================================================== 97 | 98 | def test_empty(self): 99 | eadfs = { 100 | "notes": self.col.empty_notes(), 101 | "cards": self.col.empty_cards(), 102 | "revs": self.col.empty_revs(), 103 | } 104 | for table, eadf in eadfs.items(): 105 | self.assertEqual(len(eadf), 0) 106 | adf = self.table2adf[table] 107 | self.assertListEqual(sorted(adf.columns), sorted(eadf.columns)) 108 | 109 | def test_tags(self): 110 | self.assertListEqual( 111 | list(self.notes.query("index==1555579337683")["ntags"].values)[0], 112 | ["other_test_tag"], 113 | ) 114 | self.assertListEqual( 115 | list(self.notes.query("index==1555579352896")["ntags"].values)[0], 116 | ["some_test_tag"], 117 | ) 118 | 119 | def test_cards(self): 120 | cards = self.cards 121 | self.assertGreater(len(cards), 11) 122 | self.assertEqual(sorted(cards.columns), sorted(our_columns["cards"])) 123 | 124 | def test_notes(self): 125 | notes = self.notes 126 | self.assertGreater(len(notes), 6) 127 | self.assertEqual(sorted(notes.columns), sorted(our_columns["notes"])) 128 | 129 | def test_get_revs(self): 130 | revs = self.revs 131 | self.assertEqual(sorted(revs.columns), sorted(our_columns["revs"])) 132 | self.assertGreater(len(revs), 4) 133 | 134 | # Test merging 135 | # ========================================================================== 136 | 137 | def test_merge_notes_cards(self): 138 | merged = self.ncards().merge_notes() 139 | self.assertListEqual( 140 | sorted(merged.columns), 141 | sorted(set(our_columns["cards"]) | set(our_columns["notes"])), 142 | ) 143 | 144 | def test_merge_notes_revs(self): 145 | merged = self.nrevs().merge_notes() 146 | self.assertListEqual( 147 | sorted(merged.columns), 148 | sorted( 149 | # Note: 'nid' is not a notes column. 150 | set(our_columns["revs"]) 151 | | set(our_columns["notes"]) 152 | | {"nid"} 153 | ), 154 | ) 155 | 156 | def test_merge_notes_raises(self): 157 | with self.assertRaises(ValueError): 158 | self.nnotes().merge_notes() 159 | 160 | def test_merge_cards(self): 161 | merged = self.nrevs().merge_cards() 162 | self.assertListEqual( 163 | sorted(merged.columns), 164 | sorted(set(our_columns["revs"]) | set(our_columns["cards"])), 165 | ) 166 | 167 | def test_merge_cards_raises(self): 168 | with self.assertRaises(ValueError): 169 | self.ncards().merge_cards() 170 | with self.assertRaises(ValueError): 171 | self.nnotes().merge_cards() 172 | 173 | # Test properties 174 | # ========================================================================== 175 | 176 | # Trivial cases 177 | # -------------------------------------------------------------------------- 178 | 179 | def test_nids_notes(self): 180 | self.assertListEqual(list(self.notes.index), list(self.notes.nid)) 181 | self.assertListEqual( 182 | list(self.notes.index), 183 | list(raw.get_table(self.db, "notes")["id"].unique()), 184 | ) 185 | self.assertEqual(len(self.notes.nid.unique()), len(self.notes.nid)) 186 | 187 | def test_cids_cards(self): 188 | self.assertListEqual(list(self.cards.index), list(self.cards.cid)) 189 | self.assertListEqual( 190 | list(self.cards.index), 191 | list(raw.get_table(self.db, "cards")["id"].unique()), 192 | ) 193 | self.assertEqual(len(self.cards.cid.unique()), len(self.cards.cid)) 194 | 195 | def test_rids_revs(self): 196 | self.assertListEqual(list(self.revs.index), list(self.revs.rid)) 197 | self.assertListEqual( 198 | list(self.revs.index), 199 | list(raw.get_table(self.db, "revs")["id"].unique()), 200 | ) 201 | self.assertEqual(len(self.revs.rid.unique()), len(self.revs.rid)) 202 | 203 | # Slightly more elaborate cases 204 | # -------------------------------------------------------------------------- 205 | 206 | def test_nids_cards(self): 207 | self.assertListEqual( 208 | sorted(list(self.cards.nid.unique())), 209 | sorted(list(self.notes.nid.unique())), 210 | ) 211 | 212 | def test_nids_revs(self): 213 | self.assertTrue( 214 | set(self.notes.nid.unique()).issuperset(set(self.revs.nid.unique())) 215 | ) 216 | 217 | def test_nids_nexist(self): 218 | nexist = AnkiDF() 219 | with self.assertRaises(ValueError): 220 | # noinspection PyStatementEffect 221 | nexist.nid 222 | 223 | def test_cids_revs(self): 224 | self.assertTrue( 225 | set(self.revs.cid.unique()).issubset(set(self.cards.cid.unique())) 226 | ) 227 | 228 | def test_cids_notes(self): 229 | with self.assertRaises(ValueError): 230 | # noinspection PyStatementEffect 231 | self.notes.cid 232 | 233 | # -------------------------------------------------------------------------- 234 | 235 | def test_mids(self): 236 | mids2s = { 237 | "notes": set(self.notes.mid), 238 | "cards": set(self.cards.mid), 239 | "revs": set(self.revs.mid), 240 | } 241 | mids = set(raw.get_mid2model(self.db)) 242 | for table, mids2 in mids2s.items(): 243 | with self.subTest(table=table): 244 | self.assertTrue(mids2.issubset(mids)) 245 | 246 | def test_dids(self): 247 | did2s = {"cards": set(self.cards.did), "revs": set(self.revs.did)} 248 | dids = set(raw.get_did2deck(self.db)) 249 | for table, dids2 in did2s.items(): 250 | with self.subTest(table=table): 251 | self.assertTrue(dids2.issubset(dids)) 252 | 253 | # ========================================================================== 254 | 255 | def test_fields_as_columns(self): 256 | notes = self.nnotes() 257 | notes = notes.fields_as_columns() 258 | cols = our_columns["notes"].copy() 259 | cols.remove("nflds") 260 | prefix = notes.fields_as_columns_prefix 261 | new_cols = [prefix + item for item in ["Front", "Back"]] 262 | self.assertEqual(sorted(notes.columns), sorted(cols + new_cols)) 263 | 264 | def test_fields_as_columns_x2(self): 265 | notes = self.nnotes() 266 | notes = notes.fields_as_columns() 267 | notes2 = notes.fields_as_columns() 268 | self.assertTrue(notes.equals(notes2)) 269 | 270 | def test_fields_as_list(self): 271 | # Add fields as column, remove original 'flds' column, then 272 | # add it back from the field columns and see if things still check 273 | # out 274 | notes = self.nnotes() 275 | flds = copy.copy(notes["nflds"].values) 276 | notes = notes.fields_as_columns().fields_as_list() 277 | self.assertEqual(list(flds), list(notes["nflds"].values)) 278 | self.assertListEqual( 279 | sorted(notes.columns), sorted(our_columns["notes"]) 280 | ) 281 | 282 | def test_fields_as_list_x2(self): 283 | notes = self.nnotes() 284 | notes2 = notes.fields_as_list() 285 | self.assertTrue(notes.equals(notes2)) 286 | 287 | # Convenience 288 | # ========================================================================== 289 | 290 | def test_list_decks(self): 291 | decks = self.cards.list_decks() 292 | self.assertTrue(set(decks).issuperset({"Testing", "EnglishGerman"})) 293 | 294 | def test_list_models(self): 295 | models = self.notes.list_models() 296 | self.assertTrue( 297 | set(models).issuperset({"Basic", "Basic (and reversed card)"}) 298 | ) 299 | 300 | # Properties 301 | # ========================================================================== 302 | 303 | def test_prop_nid(self): 304 | notes, cards, revs = self.nadfs() 305 | with self.assertRaises(ValueError): 306 | notes.nid = "" 307 | cards.nid = "a" 308 | revs.nid = "a" 309 | # noinspection PyUnresolvedReferences 310 | self.assertEqual(cards.nid.unique().tolist(), ["a"]) 311 | # noinspection PyUnresolvedReferences 312 | self.assertEqual(revs.nid.unique().tolist(), ["a"]) 313 | 314 | def test_prop_cid(self): 315 | notes, cards, revs = self.nadfs() 316 | with self.assertRaises(ValueError): 317 | cards.cid = "" 318 | with self.assertRaises(ValueError): 319 | notes.cid = "" 320 | revs.cid = "a" 321 | self.assertEqual(revs["cid"].unique().tolist(), ["a"]) 322 | 323 | def test_prop_rid(self): 324 | notes, cards, revs = self.nadfs() 325 | with self.assertRaises(ValueError): 326 | revs.rid = "" 327 | with self.assertRaises(ValueError): 328 | cards.rid = "" 329 | with self.assertRaises(ValueError): 330 | notes.rid = "" 331 | 332 | # Tags 333 | # ========================================================================== 334 | 335 | def test_list_tags(self): 336 | tags = self.notes.list_tags() 337 | self.assertTrue(set(tags).issuperset(["adjective", "noun"])) 338 | 339 | def test_remove_tags(self): 340 | notes = self.nnotes() 341 | notes = notes.remove_tag(None) 342 | self.assertEqual(list({tuple(x) for x in notes["ntags"]}), [()]) 343 | 344 | def test_add_tags(self): 345 | notes = self.nnotes().remove_tag(None).add_tag("1145") 346 | self.assertListEqual( 347 | list({tuple(x) for x in notes["ntags"]}), [("1145",)] 348 | ) 349 | notes.add_tag("abc", inplace=True) 350 | self.assertListEqual( 351 | list({tuple(x) for x in notes["ntags"]}), [("1145", "abc")] 352 | ) 353 | notes.add_tag(["abc", "def"], inplace=True) 354 | self.assertListEqual( 355 | list({tuple(x) for x in notes["ntags"]}), [("1145", "abc", "def")] 356 | ) 357 | notes.add_tag([], inplace=True) 358 | self.assertListEqual( 359 | list({tuple(x) for x in notes["ntags"]}), [("1145", "abc", "def")] 360 | ) 361 | 362 | def test_has_tag(self): 363 | notes = self.nnotes().remove_tag(None).add_tag("1145") 364 | self.assertListEqual(list(notes.has_tag("1145").unique()), [True]) 365 | self.assertListEqual(list(notes.has_tag("asdf").unique()), [False]) 366 | self.assertListEqual(list(notes.has_tag().unique()), [True]) 367 | self.assertListEqual( 368 | list(notes.has_tag(["asdf", "1145"]).unique()), [True] 369 | ) 370 | 371 | def test_has_tag_natural(self): 372 | notes = self.notes 373 | self.assertListEqual( 374 | sorted(list(notes.has_tag(["some_test_tag"]).unique())), 375 | [False, True], 376 | ) 377 | 378 | def test_has_tags(self): 379 | notes = self.nnotes().remove_tag(None).add_tag("1145") 380 | self.assertListEqual(list(notes.has_tags("1145").unique()), [True]) 381 | self.assertListEqual(list(notes.has_tags("asdf").unique()), [False]) 382 | self.assertListEqual(list(notes.has_tags().unique()), [True]) 383 | self.assertListEqual( 384 | list(notes.has_tags(["asdf", "1145"]).unique()), [False] 385 | ) 386 | notes = notes.add_tag("asdf") 387 | self.assertListEqual( 388 | list(notes.has_tags(["asdf", "1145"]).unique()), [True] 389 | ) 390 | 391 | def test_remove_tag(self): 392 | notes = self.nnotes().add_tag(["1145", "asdf"]) 393 | notes.remove_tag("1145", inplace=True) 394 | self.assertListEqual(list(notes.has_tag(["1145"]).unique()), [False]) 395 | self.assertListEqual(list(notes.has_tag(["asdf"]).unique()), [True]) 396 | 397 | # Changes 398 | # ========================================================================== 399 | 400 | def test_show_modification_unchanged(self): 401 | for table in ["cards", "revs", "notes"]: 402 | with self.subTest(table=table): 403 | adf = self.table2adf[table] 404 | self.assertEqual(np.sum(~adf.was_modified()), len(adf)) 405 | self.assertEqual(np.sum(~adf.was_added()), len(adf)) 406 | self.assertEqual(len(adf.was_deleted()), 0) 407 | self.assertEqual(np.sum(~adf.was_modified(adf)), len(adf)) 408 | self.assertEqual(np.sum(~adf.was_added(adf)), len(adf)) 409 | self.assertEqual(len(adf.was_deleted(adf)), 0) 410 | 411 | def test_show_modification_empty(self): 412 | for table in ["cards", "revs", "notes", "notes_cols"]: 413 | with self.subTest(table=table): 414 | if table == "notes_cols": 415 | adf = self.ntable("notes") 416 | else: 417 | adf = self.ntable(table) 418 | adf_old = adf.copy() 419 | if table == "notes_cols": 420 | adf.fields_as_columns(inplace=True) 421 | adf["new_col"] = "blargh" 422 | n = len(adf) 423 | adf = adf.drop(adf.index) 424 | self.assertEqual(np.sum(~adf.was_modified()), 0) 425 | self.assertEqual(np.sum(~adf.was_added()), 0) 426 | self.assertEqual(len(adf.was_deleted()), n) 427 | self.assertEqual(np.sum(~adf.was_modified(adf_old)), 0) 428 | self.assertEqual(np.sum(~adf.was_added(adf_old)), 0) 429 | self.assertEqual(len(adf.was_deleted(adf_old)), n) 430 | 431 | def test_show_modification_all_modified(self): 432 | for table in ["cards", "revs", "notes", "notes_cols"]: 433 | with self.subTest(table=table): 434 | if table == "notes_cols": 435 | adf = self.ntable("notes") 436 | else: 437 | adf = self.ntable(table) 438 | adf_old = adf.copy() 439 | if table == "notes_cols": 440 | adf.fields_as_columns(inplace=True) 441 | adf[adf.columns[2]] = "changed!" 442 | self.assertEqual(np.sum(~adf.was_modified()), 0) 443 | self.assertEqual(np.sum(adf.was_added()), 0) 444 | self.assertEqual(len(adf.was_deleted()), 0) 445 | # ---- 446 | self.assertEqual(len(adf.modified_columns(only=True)), len(adf)) 447 | self.assertEqual( 448 | len(adf.modified_columns(only=False)), len(adf) 449 | ) 450 | self.assertEqual( 451 | list(adf.modified_columns().loc[adf.index[0]]).index(True), 452 | 2, 453 | ) 454 | # ---- 455 | self.assertEqual(np.sum(~adf.was_modified(adf_old)), 0) 456 | self.assertEqual(np.sum(adf.was_added(adf_old)), 0) 457 | self.assertEqual(len(adf.was_deleted(adf_old)), 0) 458 | # ---- 459 | self.assertEqual( 460 | len(adf.modified_columns(only=True, other=adf_old)), 461 | len(adf), 462 | ) 463 | self.assertEqual( 464 | len(adf.modified_columns(only=False, other=adf_old)), 465 | len(adf), 466 | ) 467 | self.assertEqual( 468 | list( 469 | adf.modified_columns(other=adf_old).loc[adf.index[0]] 470 | ).index(True), 471 | 2, 472 | ) 473 | 474 | def test_show_modification_some_modified(self): 475 | for table in ["cards", "revs", "notes", "notes_cols"]: 476 | with self.subTest(table=table): 477 | if table == "notes_cols": 478 | adf = self.ntable("notes") 479 | else: 480 | adf = self.ntable(table) 481 | adf_old = adf.copy() 482 | if table == "notes_cols": 483 | adf.fields_as_columns(inplace=True) 484 | adf.loc[adf.index[0], [adf.columns[2]]] = "changed!" 485 | self.assertEqual(np.sum(adf.was_modified()), 1) 486 | self.assertEqual(adf.was_modified().tolist()[0], True) 487 | self.assertEqual(np.sum(adf.was_added()), 0) 488 | self.assertEqual(len(adf.was_deleted()), 0) 489 | # ---- 490 | self.assertEqual(len(adf.modified_columns(only=True)), 1) 491 | self.assertEqual( 492 | len(adf.modified_columns(only=False)), len(adf) 493 | ) 494 | self.assertEqual( 495 | list(adf.modified_columns().loc[adf.index[0]]).index(True), 496 | 2, 497 | ) 498 | # ---- 499 | self.assertEqual(np.sum(adf.was_modified(adf_old)), 1) 500 | self.assertEqual(adf.was_modified(adf_old).tolist()[0], True) 501 | self.assertEqual(np.sum(adf.was_added(adf_old)), 0) 502 | self.assertEqual(len(adf.was_deleted(adf_old)), 0) 503 | # ---- 504 | self.assertEqual( 505 | len(adf.modified_columns(only=True, other=adf_old)), 1 506 | ) 507 | self.assertEqual( 508 | len(adf.modified_columns(only=False, other=adf_old)), 509 | len(adf), 510 | ) 511 | self.assertEqual( 512 | list( 513 | adf.modified_columns(other=adf_old).loc[adf.index[0]] 514 | ).index(True), 515 | 2, 516 | ) 517 | 518 | # Formats 519 | # ========================================================================== 520 | 521 | def test_reformat_trivial(self): 522 | for table in ["notes", "revs", "cards"]: 523 | with self.subTest(table=table): 524 | adf = self.ntable(table) 525 | adf2 = adf.normalize() 526 | self.assertTrue(adf.equals(adf2)) 527 | 528 | def test_convert_raw_load_raw(self): 529 | for table in ["notes", "revs", "cards"]: 530 | with self.subTest(table=table): 531 | adf = self.ntable(table).raw() 532 | df = raw.get_table(self.db, table) 533 | if table == "notes": 534 | df["tags"] = df["tags"].str.strip() 535 | self.assertTrue(adf.equals(df)) 536 | 537 | def test_raw_normalize(self): 538 | for table in ["notes", "revs", "cards"]: 539 | with self.subTest(table=table): 540 | adf = self.ntable(table) 541 | adf2 = adf.raw().normalize() 542 | self.assertTrue(adf.equals(adf2)) 543 | 544 | # Update modification stamps 545 | # ========================================================================== 546 | 547 | def test_set_usn(self): 548 | for table in ["notes", "revs", "cards"]: 549 | with self.subTest(table=table): 550 | adf = self.ntable(table) 551 | print(adf.columns) 552 | adf[table[0] + "usn"] = 999 553 | adf_old = adf.copy() 554 | adf.loc[adf.index[0], adf_old.columns[0]] = "definitely changed" 555 | adf._set_usn() 556 | self.assertEqual( 557 | adf.loc[ 558 | adf.index[0], _columns.columns_anki2ours[table]["usn"] 559 | ], 560 | -1, 561 | ) 562 | 563 | def test_set_mod(self): 564 | for table in ["notes", "cards"]: 565 | with self.subTest(table=table): 566 | adf = self.ntable(table) 567 | adf_old = adf.copy() 568 | adf.loc[adf.index[0], adf.columns[0]] = "definitely changed" 569 | adf._set_mod() 570 | val1 = adf.loc[ 571 | adf.index[0], _columns.columns_anki2ours[table]["mod"] 572 | ] 573 | val_rest_1 = adf.loc[ 574 | adf.index[1:], _columns.columns_anki2ours[table]["mod"] 575 | ] 576 | val2 = adf_old.loc[ 577 | adf.index[0], _columns.columns_anki2ours[table]["mod"] 578 | ] 579 | val_rest_2 = adf.loc[ 580 | adf.index[1:], _columns.columns_anki2ours[table]["mod"] 581 | ] 582 | self.assertFalse(val1 == val2) 583 | self.assertListEqual(list(val_rest_1), list(val_rest_2)) 584 | 585 | # New 586 | # ========================================================================== 587 | 588 | # Add cards 589 | # -------------------------------------------------------------------------- 590 | 591 | @staticmethod 592 | def _cards_dict(card): 593 | return dict( 594 | nid=card["nid"], 595 | cdeck=card["cdeck"], 596 | cord=card["cord"], 597 | cmod=card["cmod"], 598 | cusn=card["cusn"], 599 | cqueue=card["cqueue"], 600 | ctype=card["ctype"], 601 | civl=card["civl"], 602 | cfactor=card["cfactor"], 603 | clapses=card["clapses"], 604 | cleft=card["cleft"], 605 | cdue=card["cdue"], 606 | ) 607 | 608 | def _test_new_card_default_values(self, cards, **kwargs): 609 | self.assertEqual(cards["cusn"].unique().tolist(), [-1]) 610 | self.assertEqual(cards["cqueue"].unique().tolist(), ["new"]) 611 | self.assertEqual(cards["ctype"].unique().tolist(), ["learning"]) 612 | self.assertEqual(cards["civl"].unique().tolist(), [0]) 613 | self.assertEqual(cards["cfactor"].unique().tolist(), [0]) 614 | self.assertEqual(cards["creps"].unique().tolist(), [0]) 615 | self.assertEqual(cards["cleft"].unique().tolist(), [0]) 616 | for key, value in kwargs.items(): 617 | self.assertEqual(cards[key].unique().tolist(), [value]) 618 | 619 | def test_new_cards_default_values(self): 620 | empty = self.necards() 621 | 622 | nid1 = 1555579352896 623 | nid2 = 1557223191575 624 | nids = [nid1, nid2] 625 | deck = list(raw.get_did2deck(self.db).values())[0] 626 | 627 | kwargs = dict(cdeck=deck) 628 | 629 | with self.subTest(type="default values single note"): 630 | self._test_new_card_default_values( 631 | empty.add_card(nid1, deck), **kwargs 632 | ) 633 | with self.subTest(type="default values single card"): 634 | self._test_new_card_default_values( 635 | empty.add_card(nid1, deck, cord=0), **kwargs, cord=0 636 | ) 637 | with self.subTest(type="default values several notes"): 638 | self._test_new_card_default_values( 639 | empty.add_cards(nids, deck), **kwargs 640 | ) 641 | with self.subTest(type="default values several notes one cord"): 642 | self._test_new_card_default_values( 643 | empty.add_cards(nids, deck, cord=0), **kwargs, cord=0 644 | ) 645 | 646 | def test_new_cards_raises_missing_nid(self): 647 | empty = self.necards() 648 | nids = [1555579352896, -15, -16] 649 | with self.assertRaises(ValueError) as context: 650 | empty.add_cards(nids, "Default") 651 | self.assertTrue("-15" in str(context.exception)) 652 | self.assertTrue("-16" in str(context.exception)) 653 | self.assertFalse("1555579352896" in str(context.exception)) 654 | 655 | def test_new_cards_raises_inconsistent_model(self): 656 | empty = self.necards() 657 | nids = [1555579352896, 1555579337683] 658 | with self.assertRaises(ValueError) as context: 659 | empty.add_cards(nids, "Default") 660 | self.assertTrue("for notes of the same model" in str(context.exception)) 661 | 662 | def test_new_cards_raises_missing_deck(self): 663 | empty = self.necards() 664 | nids = [1555579352896] 665 | deck = "not existing for sure" 666 | with self.assertRaises(ValueError) as context: 667 | empty.add_cards(nids, deck) 668 | self.assertTrue(deck in str(context.exception)) 669 | 670 | def test_new_cards_raises_due_default_not_new(self): 671 | empty = self.necards() 672 | nids = [1555579352896] 673 | deck = list(raw.get_did2deck(self.db).values())[0] 674 | with self.assertRaises(ValueError) as context: 675 | empty.add_cards(nids, deck, cqueue="learning") 676 | self.assertTrue("Due date can only be set" in str(context.exception)) 677 | 678 | def test_new_card_fully_specified(self): 679 | empty = self.necards() 680 | empty_combined = self.necards() 681 | 682 | # Careful: Need notes of the same model! 683 | nid1 = 1555579352896 684 | nid2 = 1557223191575 685 | deck1 = list(raw.get_did2deck(self.db).values())[0] 686 | deck2 = list(raw.get_did2deck(self.db).values())[1] 687 | 688 | init_dict1 = dict( 689 | nid=nid1, 690 | cdeck=deck1, 691 | cord=0, 692 | cmod=123, 693 | cusn=5, 694 | cqueue="learning", 695 | ctype="relearn", 696 | civl=5, 697 | cfactor=17, 698 | clapses=89, 699 | cleft=15, 700 | cdue=178, 701 | ) 702 | init_dict2 = dict( 703 | nid=nid2, 704 | cdeck=deck2, 705 | cord=0, 706 | cmod=1123, 707 | cusn=15, 708 | cqueue="due", 709 | ctype="review", 710 | civl=15, 711 | cfactor=117, 712 | clapses=189, 713 | cleft=115, 714 | cdue=1178, 715 | ) 716 | init_dict_combined = dict( 717 | nid=[nid1, nid2], 718 | cdeck=[deck1, deck2], 719 | cord=0, 720 | cmod=[123, 1123], 721 | cusn=[5, 15], 722 | cqueue=["learning", "due"], 723 | ctype=["relearn", "review"], 724 | civl=[5, 15], 725 | cfactor=[17, 117], 726 | clapses=[89, 189], 727 | cleft=[15, 115], 728 | cdue=[178, 1178], 729 | ) 730 | 731 | cid1 = empty.add_card(**init_dict1, inplace=True)[0] 732 | card1 = empty.loc[cid1] 733 | cid2 = empty.add_card(**init_dict2, inplace=True)[0] 734 | card2 = empty.loc[cid2] 735 | 736 | cid1, cid2 = empty_combined.add_cards( 737 | **init_dict_combined, inplace=True 738 | ) 739 | card1c = empty_combined.loc[cid1] 740 | card2c = empty_combined.loc[cid2] 741 | 742 | self.assertDictEqual(init_dict1, self._cards_dict(card1)) 743 | self.assertDictEqual(init_dict2, self._cards_dict(card2)) 744 | self.assertDictEqual(init_dict1, self._cards_dict(card1c)) 745 | self.assertDictEqual(init_dict2, self._cards_dict(card2c)) 746 | 747 | self.assertEqual(len(empty), 2) 748 | self.assertEqual(len(empty_combined), 2) 749 | 750 | def test_new_cards_vs_new_card(self): 751 | # Also done in test_new_card_fully_specified 752 | 753 | empty = self.necards() 754 | empty2 = self.necards() 755 | 756 | nid = list(raw.get_nid2mid(self.db))[0] 757 | deck = list(raw.get_did2deck(self.db).values())[0] 758 | 759 | init_dict2 = dict( 760 | nid=[nid], 761 | cdeck=deck, 762 | cord=0, 763 | cmod=123, 764 | cusn=5, 765 | cqueue="learning", 766 | ctype="relearn", 767 | civl=5, 768 | cfactor=17, 769 | clapses=89, 770 | cleft=15, 771 | cdue=178, 772 | ) 773 | init_dict1 = copy.deepcopy(init_dict2) 774 | init_dict1["nid"] = nid 775 | 776 | cids = empty2.add_cards(**init_dict2, inplace=True) 777 | card2 = empty2.loc[cids[0]] 778 | 779 | cid = empty.add_card(**init_dict1, inplace=True)[0] 780 | card1 = empty.loc[cid] 781 | 782 | self.assertDictEqual(self._cards_dict(card2), self._cards_dict(card1)) 783 | 784 | # Add notes 785 | # -------------------------------------------------------------------------- 786 | 787 | def test_new_notes_raises_inconsistent(self): 788 | with self.assertRaises(ValueError): 789 | self.nnotes().add_notes("Basic", [["1", "2"]], ntags=[["1"], ["2"]]) 790 | with self.assertRaises(ValueError): 791 | self.nnotes().add_notes("Basic", [["1", "2"]], nid=[123, 124]) 792 | with self.assertRaises(ValueError): 793 | self.nnotes().add_notes("Basic", [["1", "2"]], nguid=[123, 124]) 794 | 795 | def test_new_notes_raises_nid_clash(self): 796 | with self.assertRaises(ValueError): 797 | self.nnotes().add_note("Basic", ["11", "12"], nid=10).add_note( 798 | "Basic", ["21", "22"], nid=10 799 | ) 800 | with self.assertRaises(ValueError): 801 | self.nnotes().add_notes( 802 | "Basic", [["11", "12"], ["22", "22"]], nid=[10, 10] 803 | ) 804 | 805 | def test_new_notes_raises_nguid_clash(self): 806 | with self.assertRaises(ValueError): 807 | self.nnotes().add_notes( 808 | "Basic", [["11", "12"], ["21", "22"]], nguid=[10, 10] 809 | ) 810 | with self.assertRaises(ValueError): 811 | self.nnotes().add_note("Basic", ["11", "12"], nguid=10).add_note( 812 | "Basic", ["21", "22"], nguid=10 813 | ) 814 | 815 | def test_new_notes_fields_as_columns(self): 816 | empty = self.nenotes() 817 | empty.add_notes( 818 | "Basic", 819 | [["field1", "field2"], ["field21", "field22"]], 820 | ntags=[["tag1", "tag2"], ["tag21", "tag22"]], 821 | nguid=["cryptic", "cryptic2"], 822 | nmod=[124, 1235], 823 | nusn=[42, 17], 824 | nid=[123, 125], 825 | inplace=True, 826 | ) 827 | 828 | empty2 = self.nenotes().fields_as_columns() 829 | empty2.add_notes( 830 | "Basic", 831 | [["field1", "field2"], ["field21", "field22"]], 832 | ntags=[["tag1", "tag2"], ["tag21", "tag22"]], 833 | nguid=["cryptic", "cryptic2"], 834 | nmod=[124, 1235], 835 | nusn=[42, 17], 836 | nid=[123, 125], 837 | inplace=True, 838 | ) 839 | 840 | self.assertDictEqual( 841 | empty.fields_as_columns().to_dict(), empty2.to_dict() 842 | ) 843 | 844 | @staticmethod 845 | def _notes_dict(notes): 846 | return { 847 | "nmodel": notes["nmodel"], 848 | "nflds": notes["nflds"], 849 | "ntags": notes["ntags"], 850 | "nguid": notes["nguid"], 851 | "nmod": notes["nmod"], 852 | "nusn": notes["nusn"], 853 | } 854 | 855 | def test_new_note_empty_fully_specified(self): 856 | empty = self.nenotes() 857 | 858 | init_dict = dict( 859 | nmodel="Basic", 860 | nflds=["field1", "field2"], 861 | ntags=["tag1", "tag2"], 862 | nguid="cryptic", 863 | nmod=124, 864 | nusn=42, 865 | ) 866 | nid = empty.add_note(nid=123, **init_dict, inplace=True) 867 | self.assertEqual(nid, 123) 868 | note = empty.loc[nid] 869 | self.assertDictEqual(init_dict, self._notes_dict(note)) 870 | self.assertEqual(len(empty), 1) 871 | 872 | init_dict2 = dict( 873 | nmodel="Basic", 874 | nflds=["field21", "field22"], 875 | ntags=["tag21", "tag22"], 876 | nguid="cryptic2", 877 | nmod=1235, 878 | nusn=17, 879 | ) 880 | nid = empty.add_note(nid=125, **init_dict2, inplace=True) 881 | self.assertEqual(nid, 125) 882 | note = empty.loc[125] 883 | self.assertDictEqual(init_dict2, self._notes_dict(note)) 884 | self.assertEqual(len(empty), 2) 885 | 886 | empty2 = self.nenotes() 887 | empty2.add_notes( 888 | "Basic", 889 | [["field1", "field2"], ["field21", "field22"]], 890 | ntags=[["tag1", "tag2"], ["tag21", "tag22"]], 891 | nguid=["cryptic", "cryptic2"], 892 | nmod=[124, 1235], 893 | nusn=[42, 17], 894 | nid=[123, 125], 895 | inplace=True, 896 | ) 897 | self.assertTrue(empty.equals(empty2)) 898 | 899 | def test_new_note_raises_suplicate(self): 900 | empty = self.nenotes() 901 | empty.add_note("Basic", ["f1", "f2"], nid=10, inplace=True) 902 | self.assertEqual(len(empty), 1) 903 | with self.assertRaises(ValueError): 904 | empty.add_note("Basic", ["f3", "f4"], nid=10, inplace=True) 905 | 906 | def test_new_note_default_values(self): 907 | empty = self.nenotes() 908 | 909 | init_dict = dict(nmodel="Basic", nflds=["field1", "field2"]) 910 | nid = empty.add_note(nid=123, **init_dict, inplace=True) 911 | self.assertEqual(nid, 123) 912 | note = empty.loc[nid].to_dict() 913 | self.assertEqual(note["nmodel"], init_dict["nmodel"]) 914 | self.assertEqual(note["nflds"], init_dict["nflds"]) 915 | 916 | def test_new_note_raises(self): 917 | empty = self.nenotes() 918 | with self.assertRaises(ValueError): 919 | empty.add_note("doesntexist", []) 920 | with self.assertRaises(ValueError): 921 | empty.add_note("Basic", ["1", "2", "3"]) 922 | 923 | def test_new_notes_equivalent_field_specifications(self): 924 | empty1 = self.nenotes() 925 | empty2 = self.nenotes() 926 | empty3 = self.nenotes() 927 | 928 | empty1.add_notes("Basic", [["11", "12"], ["21", "22"]], inplace=True) 929 | empty2.add_notes( 930 | "Basic", 931 | [{"Front": "11", "Back": "12"}, {"Front": "21", "Back": "22"}], 932 | inplace=True, 933 | ) 934 | empty3.add_notes( 935 | "Basic", {"Front": ["11", "21"], "Back": ["12", "22"]}, inplace=True 936 | ) 937 | self.assertListEqual(empty1["nflds"].tolist(), empty2["nflds"].tolist()) 938 | self.assertListEqual(empty2["nflds"].tolist(), empty3["nflds"].tolist()) 939 | 940 | def test_new_notes_equivalent_field_specifications_fields_as_columns(self): 941 | empty1 = self.nenotes().fields_as_columns() 942 | empty2 = self.nenotes().fields_as_columns() 943 | empty3 = self.nenotes().fields_as_columns() 944 | 945 | empty1.add_notes("Basic", [["11", "12"], ["21", "22"]], inplace=True) 946 | empty2.add_notes( 947 | "Basic", 948 | [{"Front": "11", "Back": "12"}, {"Front": "21", "Back": "22"}], 949 | inplace=True, 950 | ) 951 | empty3.add_notes( 952 | "Basic", {"Front": ["11", "21"], "Back": ["12", "22"]}, inplace=True 953 | ) 954 | 955 | p = empty1.fields_as_columns_prefix 956 | 957 | self.assertListEqual( 958 | empty1[p + "Front"].tolist(), empty2[p + "Front"].tolist() 959 | ) 960 | self.assertListEqual( 961 | empty2[p + "Front"].tolist(), empty3[p + "Front"].tolist() 962 | ) 963 | self.assertListEqual( 964 | empty1[p + "Back"].tolist(), empty2[p + "Back"].tolist() 965 | ) 966 | self.assertListEqual( 967 | empty2[p + "Back"].tolist(), empty3[p + "Back"].tolist() 968 | ) 969 | 970 | # Help 971 | # ========================================================================== 972 | 973 | def test_help_col(self): 974 | for table, adf in self.table2adf.items(): 975 | with self.subTest(table=table): 976 | cols = list(adf.columns) + [adf.index.name] 977 | for col in cols: 978 | self.assertIsInstance(adf.help_col(col, ret=True), str) 979 | 980 | def test_help_cols_auto(self): 981 | for table, adf in self.table2adf.items(): 982 | with self.subTest(table=table): 983 | df = adf.help_cols() 984 | self.assertListEqual( 985 | list(df.columns), 986 | ["AnkiColumn", "Table", "Description", "Native", "Default"], 987 | ) 988 | self.assertListEqual( 989 | sorted(adf.columns), 990 | sorted(set(df.index)), # nid, cid appear twice 991 | ) 992 | 993 | def test_help(self): 994 | notes = self.notes 995 | hlp = notes.help(ret=True) 996 | self.assertTrue(isinstance(hlp, str)) 997 | 998 | 999 | class TestAnkiDFv1(TestAnkiDF): 1000 | db_path = ( 1001 | pathlib.Path(__file__).parent 1002 | / "data" 1003 | / "few_basic_cards" 1004 | / "collection_v1.anki2" 1005 | ) 1006 | 1007 | 1008 | if __name__ == "__main__": 1009 | unittest.main() 1010 | -------------------------------------------------------------------------------- /ankipandas/test/test_collection.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import pathlib 5 | import shutil 6 | 7 | # 3rd 8 | import pytest 9 | 10 | # ours 11 | from ankipandas.collection import Collection 12 | from ankipandas.test.util import parameterized_paths 13 | 14 | 15 | def _init_all_tables(col: Collection) -> None: 16 | """Access all attributes at least once to ensure that they are 17 | initialized. 18 | """ 19 | _ = col.notes 20 | _ = col.cards 21 | _ = col.revs 22 | 23 | 24 | # Summarize changes 25 | # ========================================================================== 26 | 27 | 28 | @parameterized_paths() 29 | def test_summarize_changes_uninitialized(db_path): 30 | col = Collection(db_path) 31 | sc = col.summarize_changes(output="dict") 32 | assert len(sc) == 0 33 | 34 | 35 | @parameterized_paths() 36 | def test_summarize_changes_no_changes(db_path): 37 | col = Collection(db_path) 38 | _init_all_tables(col) 39 | col.summarize_changes() 40 | sc = col.summarize_changes(output="dict") 41 | for item in ["cards", "revs", "notes"]: 42 | assert sc[item]["n_modified"] == 0 43 | assert sc[item]["n_added"] == 0 44 | assert sc[item]["n_deleted"] == 0 45 | assert not sc[item]["has_changed"] 46 | 47 | 48 | @parameterized_paths() 49 | def test_summarize_notes_changed(db_path): 50 | col = Collection(db_path) 51 | col.notes.add_tag("this_will_be_modified", inplace=True) 52 | sc = col.summarize_changes(output="dict") 53 | assert sc["notes"]["n_modified"] == sc["notes"]["n"] 54 | 55 | 56 | # Writing 57 | # ========================================================================== 58 | 59 | 60 | @parameterized_paths() 61 | def test_read_write_identical_trivial(db_path, tmpdir): 62 | db_path = shutil.copy2(str(db_path), str(tmpdir)) 63 | (pathlib.Path(str(tmpdir)) / "backups").mkdir() 64 | col = Collection(db_path) 65 | _init_all_tables(col) 66 | col.write(modify=True, delete=True, add=True, _override_exception=True) 67 | col_rel = Collection(db_path) 68 | assert col.notes.equals(col_rel.notes) 69 | assert col.cards.equals(col_rel.cards) 70 | assert col.revs.equals(col_rel.revs) 71 | 72 | 73 | @parameterized_paths() 74 | def test_write_raises_delete(db_path, tmpdir): 75 | db_path = shutil.copy2(str(db_path), str(tmpdir)) 76 | (pathlib.Path(str(tmpdir)) / "backups").mkdir() 77 | col = Collection(db_path) 78 | _init_all_tables(col) 79 | col.notes.drop(col.notes.index, inplace=True) 80 | cases = [ 81 | dict(modify=False, add=True), 82 | dict(modify=True, add=False), 83 | dict(modify=True, add=True), 84 | ] 85 | for case in cases: 86 | with pytest.raises(ValueError, match=".*would be deleted.*"): 87 | col.write(**case, delete=False, _override_exception=True) 88 | 89 | 90 | @parameterized_paths() 91 | def test_write_raises_modified(db_path, tmpdir): 92 | db_path = shutil.copy2(str(db_path), str(tmpdir)) 93 | (pathlib.Path(str(tmpdir)) / "backups").mkdir() 94 | col = Collection(db_path) 95 | _init_all_tables(col) 96 | col.notes.add_tag("test", inplace=True) 97 | cases = [ 98 | dict(add=False, delete=True), 99 | dict(add=True, delete=False), 100 | dict(add=True, delete=True), 101 | ] 102 | for case in cases: 103 | with pytest.raises(ValueError, match=".*would be modified.*"): 104 | col.write(**case, modify=False, _override_exception=True) 105 | 106 | 107 | @parameterized_paths() 108 | def test_write_raises_added(db_path, tmpdir): 109 | db_path = shutil.copy2(str(db_path), str(tmpdir)) 110 | (pathlib.Path(str(tmpdir)) / "backups").mkdir() 111 | col = Collection(db_path) 112 | _init_all_tables(col) 113 | col.notes.add_note("Basic", ["test", "back"], inplace=True) 114 | cases = [ 115 | dict(modify=False, delete=True), 116 | dict(modify=True, delete=False), 117 | dict(modify=True, delete=True), 118 | ] 119 | for case in cases: 120 | with pytest.raises(ValueError, match=".*would be modified.*"): 121 | col.write(**case, add=False, _override_exception=True) 122 | 123 | 124 | @parameterized_paths() 125 | def test_write_added(db_path, tmpdir): 126 | db_path = shutil.copy2(str(db_path), str(tmpdir)) 127 | (pathlib.Path(str(tmpdir)) / "backups").mkdir() 128 | col = Collection(db_path) 129 | _init_all_tables(col) 130 | col.notes.add_note("Basic", ["test", "back"], inplace=True) 131 | col.write(add=True, _override_exception=True) 132 | -------------------------------------------------------------------------------- /ankipandas/test/test_paths.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import collections 5 | import tempfile 6 | import unittest 7 | from pathlib import Path 8 | 9 | # 3rd 10 | from randomfiletree import iterative_gaussian_tree, sample_random_elements 11 | 12 | # ours 13 | import ankipandas.paths as paths 14 | from ankipandas.util.log import set_debug_log_level 15 | from ankipandas.util.misc import flatten_list_list 16 | 17 | 18 | def touch_file_in_random_folders(basedir, filename: str, n=1) -> list[Path]: 19 | """Create files in random folders. 20 | 21 | Args: 22 | basedir: Starting directory 23 | filename: Filename of the files to create 24 | n: Number of files to create 25 | 26 | Returns: 27 | List of files that were created. 28 | """ 29 | files = set() 30 | for d in sample_random_elements( 31 | basedir, n_dirs=n, n_files=0, onfail="ignore" 32 | )[0]: 33 | p = Path(d) / filename 34 | p.touch() 35 | files.add(p) 36 | return list(files) 37 | 38 | 39 | class TestFindDatabase(unittest.TestCase): 40 | def setUp(self): 41 | set_debug_log_level() 42 | self.dirs = { 43 | "nothing": tempfile.TemporaryDirectory(), 44 | "multiple": tempfile.TemporaryDirectory(), 45 | "perfect": tempfile.TemporaryDirectory(), 46 | } 47 | for d in self.dirs.values(): 48 | iterative_gaussian_tree( 49 | d.name, 50 | repeat=5, 51 | nfolders=3, 52 | min_folders=1, 53 | nfiles=2, 54 | min_files=1, 55 | maxdepth=4, 56 | ) 57 | self.dbs = { 58 | "nothing": [], 59 | "multiple": touch_file_in_random_folders( 60 | self.dirs["multiple"].name, "collection.anki2", 10 61 | ), 62 | "perfect": touch_file_in_random_folders( 63 | self.dirs["perfect"].name, "collection.anki2", 1 64 | ), 65 | } 66 | self.maxDiff = None 67 | 68 | def test_db_path_input_nexist(self): 69 | with self.assertRaises(FileNotFoundError): 70 | paths.db_path_input("/x/y/z") 71 | 72 | def test_db_path_input_multiple(self): 73 | with self.assertRaises(ValueError): 74 | paths.db_path_input(self.dirs["multiple"].name) 75 | 76 | def test_db_path_input_nothing(self): 77 | with self.assertRaises(ValueError): 78 | paths.db_path_input(self.dirs["nothing"].name) 79 | 80 | def test_db_path_input_perfect(self): 81 | self.assertEqual( 82 | paths.db_path_input(self.dirs["perfect"].name), 83 | self.dbs["perfect"][0], 84 | ) 85 | 86 | def test__find_database(self): 87 | for d in self.dirs: 88 | a = sorted( 89 | map( 90 | str, 91 | flatten_list_list( 92 | paths._find_db( 93 | self.dirs[d].name, 94 | maxdepth=None, 95 | break_on_first=False, 96 | ).values() 97 | ), 98 | ) 99 | ) 100 | b = sorted(str(x) for x in self.dbs[d]) 101 | self.assertListEqual(a, b) 102 | 103 | def test__find_database_filename(self): 104 | # If doesn't exist 105 | self.assertEqual( 106 | paths._find_db( 107 | Path("abc/myfilename.txt"), filename="myfilename.txt" 108 | ), 109 | {}, 110 | ) 111 | tmpdir = tempfile.TemporaryDirectory() 112 | dir_path = Path(tmpdir.name) / "myfolder" 113 | file_path = dir_path / "myfilename.txt" 114 | dir_path.mkdir() 115 | file_path.touch() 116 | self.assertEqual( 117 | paths._find_db(file_path, filename="myfilename.txt"), 118 | collections.defaultdict(list, {"myfolder": [file_path]}), 119 | ) 120 | tmpdir.cleanup() 121 | 122 | def test_find_database(self): 123 | with self.assertRaises(ValueError): 124 | paths.find_db(self.dirs["nothing"].name, break_on_first=False) 125 | with self.assertRaises(ValueError): 126 | paths.find_db(self.dirs["multiple"].name, break_on_first=False) 127 | print(self.dbs["multiple"]) 128 | self.assertEqual( 129 | str(paths.find_db(self.dirs["perfect"].name, break_on_first=False)), 130 | str(self.dbs["perfect"][0]), 131 | ) 132 | 133 | def tearDown(self): 134 | for d in self.dirs.values(): 135 | d.cleanup() 136 | 137 | 138 | class TestBackup(unittest.TestCase): 139 | def setUp(self): 140 | set_debug_log_level() 141 | self.tmpdir = tempfile.TemporaryDirectory() 142 | self.tmpdir_path = Path(self.tmpdir.name) 143 | (self.tmpdir_path / "collection.anki2").touch() 144 | (self.tmpdir_path / "backups").mkdir() 145 | 146 | self.tmpdir_only_db = tempfile.TemporaryDirectory() 147 | self.tmpdir_only_db_path = Path(self.tmpdir_only_db.name) 148 | (self.tmpdir_only_db_path / "collection.anki2").touch() 149 | 150 | def tearDown(self): 151 | self.tmpdir.cleanup() 152 | self.tmpdir_only_db.cleanup() 153 | 154 | def test_get_anki_backup_folder(self): 155 | self.assertEqual( 156 | str( 157 | paths.get_anki_backup_folder( 158 | self.tmpdir_path / "collection.anki2" 159 | ) 160 | ), 161 | str(self.tmpdir_path / "backups"), 162 | ) 163 | 164 | def test_get_anki_backup_folder_raise(self): 165 | with self.assertRaises(FileNotFoundError): 166 | paths.get_anki_backup_folder(self.tmpdir_path / "asdf") 167 | with self.assertRaises(ValueError): 168 | paths.get_anki_backup_folder( 169 | self.tmpdir_only_db_path / "collection.anki2" 170 | ) 171 | paths.get_anki_backup_folder( 172 | self.tmpdir_only_db_path / "collection.anki2", nexist="ignore" 173 | ) 174 | 175 | def test_backup_db_auto(self): 176 | with tempfile.TemporaryDirectory() as tmpdir: 177 | db_path = Path(tmpdir) / "collection.anki2" 178 | db_path.touch() 179 | backup_folder = db_path.parent / "backups" 180 | backup_folder.mkdir() 181 | backup_path = paths.backup_db(db_path) 182 | self.assertTrue(backup_path.is_file()) 183 | self.assertTrue(backup_path.parent == backup_folder) 184 | 185 | def test_backup_db_custom(self): 186 | with tempfile.TemporaryDirectory() as tmpdir: 187 | db_path = Path(tmpdir) / "collection.anki2" 188 | db_path.touch() 189 | backup_folder = db_path.parent / "myfolder" 190 | backup_path = paths.backup_db(db_path, backup_folder=backup_folder) 191 | self.assertTrue(backup_path.is_file()) 192 | self.assertTrue(backup_path.parent == backup_folder) 193 | 194 | 195 | if __name__ == "__main__": 196 | unittest.main() 197 | -------------------------------------------------------------------------------- /ankipandas/test/test_raw.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import copy 5 | import pathlib 6 | import shutil 7 | import tempfile 8 | import unittest 9 | 10 | # 3rd 11 | import pandas as pd 12 | 13 | # ours 14 | from ankipandas.raw import ( 15 | close_db, 16 | get_db_version, 17 | get_deck_info, 18 | get_did2deck, 19 | get_info, 20 | get_mid2fields, 21 | get_mid2model, 22 | get_model_info, 23 | get_table, 24 | load_db, 25 | set_info, 26 | set_table, 27 | ) 28 | from ankipandas.util.dataframe import merge_dfs 29 | from ankipandas.util.log import set_debug_log_level 30 | 31 | 32 | class TestRawRead(unittest.TestCase): 33 | def setUp(self): 34 | set_debug_log_level() 35 | self.db_folder = ( 36 | pathlib.Path(__file__).parent / "data" / "few_basic_cards" 37 | ) 38 | self.version2db = { 39 | 0: load_db(self.db_folder / "collection.anki2"), 40 | 1: load_db(self.db_folder / "collection_v1.anki2"), 41 | } 42 | 43 | def test_get_db_version(self): 44 | for version in [0, 1]: 45 | with self.subTest(version=version): 46 | assert get_db_version(self.version2db[version]) == version 47 | 48 | def tearDown(self): 49 | for db in self.version2db.values(): 50 | close_db(db) 51 | 52 | def test_get_deck_info(self): 53 | for version in [0, 1]: 54 | with self.subTest(version=version): 55 | info = get_deck_info(self.version2db[version]) 56 | self.assertGreaterEqual(len(info), 2) 57 | self.assertIsInstance(info, dict) 58 | 59 | def test_get_deck_names(self): 60 | for version in [0, 1]: 61 | with self.subTest(version=version): 62 | names = get_did2deck(self.version2db[version]) 63 | self.assertTrue( 64 | set(names.values()).issuperset({"Testing", "EnglishGerman"}) 65 | ) 66 | 67 | def test_get_model_info(self): 68 | for version in [0, 1]: 69 | with self.subTest(version=version): 70 | minfo = get_model_info(self.version2db[version]) 71 | self.assertIsInstance(minfo, dict) 72 | self.assertGreaterEqual(len(minfo), 2) 73 | 74 | def test_get_model_names(self): 75 | for version in [0, 1]: 76 | with self.subTest(version=version): 77 | names = get_mid2model(self.version2db[version]) 78 | self.assertIn("Basic", names.values()) 79 | self.assertIn("Cloze", names.values()) 80 | self.assertEqual(len(names), 5) 81 | 82 | def test_get_field_names(self): 83 | for version in [0, 1]: 84 | with self.subTest(version=version): 85 | _fnames = get_mid2fields(self.version2db[version]) 86 | models = get_mid2model(self.version2db[version]) 87 | fnames = {models[mid]: _fnames[mid] for mid in models} 88 | print("MODELS", models) 89 | print("_FNAMES", _fnames) 90 | print("FNAMES", fnames) 91 | self.assertEqual( 92 | len(fnames), len(get_mid2model(self.version2db[version])) 93 | ) 94 | self.assertListEqual(fnames["Basic"], ["Front", "Back"]) 95 | 96 | 97 | class TestRawWrite(unittest.TestCase): 98 | db_read_path = ( 99 | pathlib.Path(__file__).parent 100 | / "data" 101 | / "few_basic_cards" 102 | / "collection.anki2" 103 | ) 104 | 105 | def setUp(self): 106 | set_debug_log_level() 107 | self.db_read = load_db(self.db_read_path) 108 | self.db_write_dir = tempfile.TemporaryDirectory() 109 | self.db_write_path = ( 110 | pathlib.Path(self.db_write_dir.name) / "collection.anki2" 111 | ) 112 | self._reset() 113 | 114 | def _reset(self): 115 | shutil.copy(str(self.db_read_path), str(self.db_write_path)) 116 | self.db_write = load_db(self.db_write_path) 117 | 118 | def tearDown(self): 119 | self.db_read.close() 120 | self.db_write.close() 121 | self.db_write_dir.cleanup() 122 | 123 | def _check_db_equal(self): 124 | notes = get_table(self.db_read, "notes") 125 | cards = get_table(self.db_read, "cards") 126 | revlog = get_table(self.db_read, "revs") 127 | notes2 = get_table(self.db_write, "notes") 128 | cards2 = get_table(self.db_write, "cards") 129 | revlog2 = get_table(self.db_write, "revs") 130 | # noinspection PyUnresolvedReferences 131 | self.assertListEqual(notes.values.tolist(), notes2.values.tolist()) 132 | # noinspection PyUnresolvedReferences 133 | self.assertListEqual(cards.values.tolist(), cards2.values.tolist()) 134 | # noinspection PyUnresolvedReferences 135 | self.assertListEqual(revlog.values.tolist(), revlog2.values.tolist()) 136 | 137 | def test_rw_identical(self): 138 | notes = get_table(self.db_read, "notes") 139 | cards = get_table(self.db_read, "cards") 140 | revlog = get_table(self.db_read, "revs") 141 | for mode in ["update", "replace", "append"]: 142 | with self.subTest(mode=mode): 143 | self._reset() 144 | set_table(self.db_write, notes, "notes", mode) 145 | set_table(self.db_write, cards, "cards", mode) 146 | set_table(self.db_write, revlog, "revs", mode) 147 | self._check_db_equal() 148 | 149 | def test_update(self): 150 | notes2 = get_table(self.db_read, "notes") 151 | notes = get_table(self.db_read, "notes") 152 | for mode in ["update", "replace", "append"]: 153 | with self.subTest(mode=mode): 154 | self._reset() 155 | notes2.loc[notes2["id"] == 1555579337683, "tags"] = ( 156 | "definitelynew!" 157 | ) 158 | set_table(self.db_write, notes2, "notes", mode) 159 | if mode == "append": 160 | self._check_db_equal() 161 | else: 162 | notes2r = get_table(self.db_write, "notes") 163 | chtag = notes2r.loc[notes2r["id"] == 1555579337683, "tags"] 164 | self.assertListEqual( 165 | list(chtag.values.tolist()), ["definitelynew!"] 166 | ) 167 | unchanged = notes.loc[notes["id"] != 1555579337683, :] 168 | unchanged2 = notes2r.loc[notes2["id"] != 1555579337683, :] 169 | 170 | self.assertListEqual( 171 | list(unchanged.values.tolist()), 172 | list(unchanged2.values.tolist()), 173 | ) 174 | 175 | def test_update_append_does_not_delete(self): 176 | notes = get_table(self.db_read, "notes") 177 | cards = get_table(self.db_read, "cards") 178 | revs = get_table(self.db_read, "revs") 179 | notes.drop(notes.index) 180 | cards.drop(cards.index) 181 | revs.drop(revs.index) 182 | for mode in ["update", "append"]: 183 | with self.subTest(mode=mode): 184 | self._reset() 185 | set_table(self.db_write, notes, "notes", mode) 186 | set_table(self.db_write, cards, "cards", mode) 187 | set_table(self.db_write, revs, "revs", mode) 188 | self._check_db_equal() 189 | 190 | def test_replace_deletes(self): 191 | notes = get_table(self.db_read, "notes") 192 | cards = get_table(self.db_read, "cards") 193 | revs = get_table(self.db_read, "revs") 194 | notes = notes.drop(notes.index) 195 | cards = cards.drop(cards.index) 196 | revs = revs.drop(revs.index) 197 | self._reset() 198 | set_table(self.db_write, notes, "notes", "replace") 199 | set_table(self.db_write, cards, "cards", "replace") 200 | set_table(self.db_write, revs, "revs", "replace") 201 | notes = get_table(self.db_write, "notes") 202 | cards = get_table(self.db_write, "cards") 203 | revs = get_table(self.db_write, "revs") 204 | self.assertEqual(len(notes), 0) 205 | self.assertEqual(len(revs), 0) 206 | self.assertEqual(len(cards), 0) 207 | 208 | def test_set_get_inverse(self): 209 | info = get_info(self.db_read) 210 | set_info(self.db_write, info) 211 | info2 = get_info(self.db_write) 212 | self.assertDictEqual(info, info2) 213 | 214 | 215 | class TestRawWriteV1(unittest.TestCase): 216 | db_read_path = ( 217 | pathlib.Path(__file__).parent 218 | / "data" 219 | / "few_basic_cards" 220 | / "collection_v1.anki2" 221 | ) 222 | 223 | 224 | class TestMergeDfs(unittest.TestCase): 225 | def setUp(self): 226 | set_debug_log_level() 227 | self.df = pd.DataFrame( 228 | {"id_df": [1, 2, 3, 1, 1], "clash": ["a", "b", "c", "a", "a"]} 229 | ) 230 | self.df_add = pd.DataFrame( 231 | { 232 | "id_add": [1, 2, 3], 233 | "value": [4, 5, 6], 234 | "drop": [7, 8, 9], 235 | "ignore": [10, 11, 12], 236 | "clash": [1, 1, 1], 237 | } 238 | ) 239 | 240 | def test_merge_dfs(self): 241 | df_merged = merge_dfs( 242 | self.df, 243 | self.df_add, 244 | id_df="id_df", 245 | id_add="id_add", 246 | prepend="_", 247 | columns=["value", "drop", "clash"], 248 | drop_columns=["id_add", "drop"], 249 | ) 250 | self.assertListEqual( 251 | sorted(df_merged.columns), 252 | ["_clash", "clash", "id_df", "value"], 253 | ) 254 | self.assertListEqual(sorted(df_merged["value"]), [4, 4, 4, 5, 6]) 255 | 256 | def test_merge_dfs_prepend_all(self): 257 | df_merged = merge_dfs( 258 | self.df, 259 | self.df_add, 260 | id_df="id_df", 261 | id_add="id_add", 262 | prepend="_", 263 | prepend_clash_only=False, 264 | ) 265 | self.assertListEqual( 266 | sorted(df_merged.columns), 267 | ["_clash", "_drop", "_ignore", "_value", "clash", "id_df"], 268 | ) 269 | 270 | def test_merge_dfs_inplace(self): 271 | df = copy.deepcopy(self.df) 272 | merge_dfs(df, self.df_add, id_df="id_df", id_add="id_add", inplace=True) 273 | self.assertListEqual( 274 | sorted(df.columns), 275 | ["clash_x", "clash_y", "drop", "id_df", "ignore", "value"], 276 | ) 277 | self.assertListEqual(sorted(df["value"]), [4, 4, 4, 5, 6]) 278 | 279 | 280 | if __name__ == "__main__": 281 | unittest.main() 282 | -------------------------------------------------------------------------------- /ankipandas/test/test_regression.py: -------------------------------------------------------------------------------- 1 | """ These tests are created from issues that we fixed to avoid that they might 2 | come back later. 3 | """ 4 | 5 | from __future__ import annotations 6 | 7 | # ours 8 | from ankipandas.collection import Collection 9 | from ankipandas.test.util import parameterized_paths 10 | 11 | 12 | @parameterized_paths() 13 | def test_inplace_merge_notes(db_path): 14 | """https://github.com/klieret/AnkiPandas/issues/51 15 | AttributeError: 'NoneType' object has no attribute 'col' 16 | """ 17 | col = Collection(db_path) 18 | col.cards.merge_notes(inplace=True) 19 | -------------------------------------------------------------------------------- /ankipandas/test/util.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import pathlib 5 | 6 | # 3rd 7 | import pytest 8 | 9 | _test_db_paths = [ 10 | pathlib.Path(__file__).resolve().parent 11 | / "data" 12 | / "few_basic_cards" 13 | / "collection.anki2", 14 | pathlib.Path(__file__).resolve().parent 15 | / "data" 16 | / "few_basic_cards" 17 | / "collection_v1.anki2", 18 | ] 19 | 20 | 21 | def parameterized_paths(): 22 | return pytest.mark.parametrize("db_path", _test_db_paths) 23 | -------------------------------------------------------------------------------- /ankipandas/util/__init__.py: -------------------------------------------------------------------------------- 1 | """ Various utilities of this package. 2 | 3 | .. warning:: 4 | 5 | These utilities are less aimed at end users and might therefore be subject 6 | to change. 7 | 8 | """ 9 | 10 | from __future__ import annotations 11 | 12 | import ankipandas.util.checksum 13 | import ankipandas.util.dataframe 14 | import ankipandas.util.log 15 | import ankipandas.util.misc 16 | -------------------------------------------------------------------------------- /ankipandas/util/checksum.py: -------------------------------------------------------------------------------- 1 | from __future__ import annotations 2 | 3 | import re 4 | from hashlib import sha1 5 | from html.entities import name2codepoint 6 | 7 | # Implementation directly copied from Anki (anki/anki/utils.py). 8 | # Only a bit of PEP8ing and making things private. 9 | 10 | _reComment = re.compile("(?s)") 11 | _reStyle = re.compile("(?si).*?") 12 | _reScript = re.compile("(?si).*?") 13 | _reTag = re.compile("(?s)<.*?>") 14 | _reEnts = re.compile(r"&#?\w+;") 15 | _reMedia = re.compile("(?i)]+src=[\"']?([^\"'>]+)[\"']?[^>]*>") 16 | 17 | 18 | def _strip_html(s): 19 | s = _reComment.sub("", s) 20 | s = _reStyle.sub("", s) 21 | s = _reScript.sub("", s) 22 | s = _reTag.sub("", s) 23 | s = _ents_to_txt(s) 24 | return s 25 | 26 | 27 | def _strip_html_media(s): 28 | """Strip HTML but keep media filenames""" 29 | s = _reMedia.sub(" \\1 ", s) 30 | return _strip_html(s) 31 | 32 | 33 | def _ents_to_txt(html): 34 | # entitydefs defines nbsp as \xa0 instead of a standard space, so we 35 | # replace it first 36 | html = html.replace(" ", " ") 37 | 38 | def fixup(m): 39 | text = m.group(0) 40 | if text[:2] == "&#": 41 | # character reference 42 | try: 43 | if text[:3] == "&#x": 44 | return chr(int(text[3:-1], 16)) 45 | else: 46 | return chr(int(text[2:-1])) 47 | except ValueError: 48 | pass 49 | else: 50 | # named entity 51 | try: 52 | text = chr(name2codepoint[text[1:-1]]) 53 | except KeyError: 54 | pass 55 | return text # leave as is 56 | 57 | return _reEnts.sub(fixup, html) 58 | 59 | 60 | def _checksum(data): 61 | if isinstance(data, str): 62 | data = data.encode("utf-8") 63 | return sha1(data).hexdigest() 64 | 65 | 66 | def field_checksum(data: str) -> int: 67 | """32 bit unsigned number from first 8 digits of sha1 hash. 68 | Apply this to the first field to the the field checksum that is used by 69 | Anki to detect duplicates. 70 | 71 | Args: 72 | data: string like 73 | 74 | Returns: 75 | int 76 | """ 77 | return int(_checksum(_strip_html_media(data).encode("utf-8"))[:8], 16) 78 | -------------------------------------------------------------------------------- /ankipandas/util/dataframe.py: -------------------------------------------------------------------------------- 1 | """ DataFrame utilities. """ 2 | 3 | # std 4 | from __future__ import annotations 5 | 6 | # 3rd 7 | import pandas as pd 8 | 9 | # ours 10 | from ankipandas.util.log import log 11 | 12 | 13 | def _sync_metadata(df_ret: pd.DataFrame, df_old: pd.DataFrame) -> None: 14 | """ 15 | If the df_old has a `_metadata` field, containing a list of attribute 16 | names that contain metadata, then this is copied from `df_old` to the new 17 | dataframe `df_ret. 18 | 19 | Args: 20 | df_ret: 21 | df_old: 22 | 23 | Returns: 24 | None 25 | """ 26 | if hasattr(df_old, "_metadata"): 27 | for key in df_old._metadata: 28 | value = getattr(df_old, key) 29 | log.debug("Setting metadata attribute %s to %s", key, value) 30 | setattr(df_ret, key, value) 31 | 32 | 33 | def replace_df_inplace(df: pd.DataFrame, df_new: pd.DataFrame) -> None: 34 | """Replace dataframe 'in place'. 35 | If the dataframe has a `_metadata` field, containing a list of attribute 36 | names that contain metadata, then this is copied from `df` to the new 37 | dataframe. 38 | 39 | Args: 40 | df: :class:`pandas.DataFrame` to be replaced 41 | df_new: :class:`pandas.DataFrame` to replace the previous one 42 | 43 | Returns: 44 | None 45 | """ 46 | # Drop all ROWs (not columns) 47 | if df.index.any(): 48 | df.drop(df.index, inplace=True) 49 | for col in df_new.columns: 50 | df[col] = df_new[col] 51 | drop_cols = set(df.columns) - set(df_new.columns) 52 | if drop_cols: 53 | df.drop(drop_cols, axis=1, inplace=True) 54 | _sync_metadata(df_new, df) 55 | 56 | 57 | # todo: this might be made more elegant in the future for sure... 58 | # fixme: This removes items whenever it can't merge! 59 | def merge_dfs( 60 | df: pd.DataFrame, 61 | df_add: pd.DataFrame, 62 | id_df: str, 63 | inplace=False, 64 | id_add="id", 65 | prepend="", 66 | replace=False, 67 | prepend_clash_only=True, 68 | columns=None, 69 | drop_columns=None, 70 | ) -> pd.DataFrame | None: 71 | """ 72 | Merge information from two dataframes. 73 | If the dataframe has a `_metadata` field, containing a list of attribute 74 | names that contain metadata, then this is copied from `df` to the new 75 | dataframe. 76 | 77 | Args: 78 | df: Original :class:`pandas.DataFrame` 79 | df_add: :class:`pandas.DataFrame` to be merged with original 80 | :class:`pandas.DataFrame` 81 | id_df: Column of original dataframe that contains the id along which 82 | we merge. 83 | inplace: If False, return new dataframe, else update old one 84 | id_add: Column of the new dataframe that contains the id along which 85 | we merge 86 | prepend: Prepend a string to the column names from the new dataframe 87 | replace: Replace columns 88 | prepend_clash_only: Only prepend string to the column names from the 89 | new dataframe if there is a name clash. 90 | columns: Keep only these columns 91 | drop_columns: Drop these columns 92 | 93 | Returns: 94 | New merged :class:`pandas.DataFrame` 95 | """ 96 | # Careful: Do not drop the id column until later (else we can't merge) 97 | # Still, we want to remove as much as possible here, because it's probably 98 | # better performing 99 | if columns: 100 | df_add = df_add.drop( 101 | set(df_add.columns) - (set(columns) | {id_add}), axis=1 102 | ) 103 | if drop_columns: 104 | df_add = df_add.drop(set(drop_columns) - {id_add}, axis=1) 105 | # Careful: Rename columns after dropping unwanted ones 106 | if prepend_clash_only: 107 | col_clash = set(df.columns) & set(df_add.columns) 108 | rename_dict = {col: prepend + col for col in col_clash} 109 | else: 110 | rename_dict = {col: prepend + col for col in df_add.columns} 111 | df_add = df_add.rename(columns=rename_dict) 112 | # Careful: Might have renamed id_add as well 113 | if id_add in rename_dict: 114 | id_add = rename_dict[id_add] 115 | 116 | if replace: 117 | # Simply remove all potential clashes 118 | replaced_columns = set(df_add.columns) & set(df.columns) 119 | df = df.drop(replaced_columns, axis=1) 120 | 121 | merge_kwargs = {} 122 | 123 | if id_add in df_add.columns: 124 | merge_kwargs["right_on"] = id_add 125 | elif id_add == df_add.index.name: 126 | merge_kwargs["right_index"] = True 127 | else: 128 | raise ValueError(f"'{id_add}' is neither index nor column.") 129 | 130 | if id_df in df.columns: 131 | merge_kwargs["left_on"] = id_df 132 | elif id_df == df.index.name: 133 | merge_kwargs["left_index"] = True 134 | else: 135 | raise ValueError(f"'{id_df}' is neither index nor column.") 136 | 137 | df_merge = df.merge(df_add, **merge_kwargs) 138 | 139 | # Now remove id_add if it was to be removed 140 | # Careful: 'in' doesn't work with None 141 | if (columns and id_add not in columns) or ( 142 | drop_columns and id_add in drop_columns 143 | ): 144 | df_merge.drop(id_add, axis=1, inplace=True) 145 | 146 | # Make sure we don't have two ID columns 147 | new_id_add_col = id_add 148 | if id_add in rename_dict: 149 | new_id_add_col = rename_dict[id_add] 150 | if new_id_add_col in df_merge.columns and id_df != new_id_add_col: 151 | df_merge.drop(new_id_add_col, axis=1, inplace=True) 152 | 153 | _sync_metadata(df_merge, df) 154 | 155 | if inplace: 156 | replace_df_inplace(df, df_merge) 157 | return None # mypy 158 | else: 159 | return df_merge 160 | -------------------------------------------------------------------------------- /ankipandas/util/guid.py: -------------------------------------------------------------------------------- 1 | from __future__ import annotations 2 | 3 | import random 4 | import string 5 | 6 | # Directly copied from anki utils! 7 | 8 | 9 | # used in ankiweb 10 | def _base62(num, extra=""): 11 | s = string 12 | table = s.ascii_letters + s.digits + extra 13 | buf = "" 14 | while num: 15 | num, i = divmod(num, len(table)) 16 | buf = table[i] + buf 17 | return buf 18 | 19 | 20 | _base91_extra_chars = "!#$%&()*+,-./:;<=>?@[]^_`{|}~" 21 | 22 | 23 | def _base91(num): 24 | # all printable characters minus quotes, backslash and separators 25 | return _base62(num, _base91_extra_chars) 26 | 27 | 28 | def _guid64(): 29 | """Return a base91-encoded 64bit random number.""" 30 | return _base91(random.randint(0, 2**64 - 1)) 31 | 32 | 33 | def guid(): 34 | """Return globally unique ID""" 35 | return _guid64() 36 | -------------------------------------------------------------------------------- /ankipandas/util/log.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import logging 5 | 6 | import colorlog 7 | 8 | LOG_DEFAULT_LEVEL = logging.INFO 9 | 10 | 11 | def get_logger(): 12 | """Sets up global logger.""" 13 | _log = colorlog.getLogger("AnkiPandas") 14 | 15 | if _log.handlers: 16 | # the logger already has handlers attached to it, even though 17 | # we didn't add it ==> logging.get_logger got us an existing 18 | # logger ==> we don't need to do anything 19 | return _log 20 | 21 | _log.setLevel(LOG_DEFAULT_LEVEL) 22 | 23 | sh = colorlog.StreamHandler() 24 | log_colors = { 25 | "DEBUG": "cyan", 26 | "INFO": "green", 27 | "WARNING": "yellow", 28 | "ERROR": "red", 29 | "CRITICAL": "red", 30 | } 31 | formatter = colorlog.ColoredFormatter( 32 | "%(log_color)s%(levelname)s: %(message)s", log_colors=log_colors 33 | ) 34 | sh.setFormatter(formatter) 35 | # Controlled by overall logger level 36 | sh.setLevel(logging.DEBUG) 37 | 38 | _log.addHandler(sh) 39 | 40 | return _log 41 | 42 | 43 | def set_log_level(level: str | int) -> None: 44 | """Set global log level. 45 | 46 | Args: 47 | level: Either an int 48 | (https://docs.python.org/3/library/logging.html#levels) 49 | or one of the keywords, 'critical' (only the most terrifying of log 50 | messages), 'error', 'warning', 'info', 51 | 'debug' (all log messages) 52 | 53 | Returns: 54 | None 55 | """ 56 | lvl = level 57 | if isinstance(level, str): 58 | lvl = getattr(logging, level.upper()) 59 | get_logger().setLevel(lvl) 60 | 61 | 62 | def set_debug_log_level() -> None: 63 | """Set global log level to debug.""" 64 | set_log_level(logging.DEBUG) 65 | 66 | 67 | log = get_logger() 68 | -------------------------------------------------------------------------------- /ankipandas/util/misc.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import collections 5 | from typing import Any 6 | 7 | 8 | def invert_dict(dct: dict) -> dict: 9 | """Invert dictionary, i.e. reverse keys and values. 10 | 11 | Args: 12 | dct: Dictionary 13 | 14 | Returns: 15 | Dictionary with reversed keys and values. 16 | 17 | Raises: 18 | :class:`ValueError` if values are not unique. 19 | """ 20 | if not len(set(dct.values())) == len(dct.values()): 21 | print(dct) 22 | print(sorted(dct.values())) 23 | raise ValueError("Dictionary does not seem to be invertible.") 24 | return {value: key for key, value in dct.items()} 25 | 26 | 27 | def flatten_list_list(lst: list[list[Any]]) -> list[Any]: 28 | """Takes a list of lists and returns a list of all elements. 29 | 30 | Args: 31 | lst: List of Lists 32 | 33 | Returns: 34 | list 35 | """ 36 | return [item for sublist in lst for item in sublist] 37 | 38 | 39 | def nested_dict(): 40 | """This is very clever and stolen from 41 | https://stackoverflow.com/questions/16724788/ 42 | Use it to initialize a dictionary-like object which automatically adds 43 | levels. 44 | E.g. 45 | 46 | .. code-block:: python 47 | 48 | a = nested_dict() 49 | a['test']['this']['is']['working'] = "yaaay" 50 | """ 51 | return collections.defaultdict(nested_dict) 52 | 53 | 54 | def defaultdict2dict(defdict: collections.defaultdict) -> dict: 55 | return { 56 | key: ( 57 | defaultdict2dict(value) 58 | if isinstance(value, collections.defaultdict) 59 | else value 60 | ) 61 | for key, value in defdict.items() 62 | } 63 | -------------------------------------------------------------------------------- /ankipandas/util/test/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/ankipandas/util/test/__init__.py -------------------------------------------------------------------------------- /ankipandas/util/test/test_dataframe.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import unittest 5 | 6 | # 3rd 7 | import pandas as pd 8 | 9 | # ours 10 | from ankipandas.util.dataframe import replace_df_inplace 11 | 12 | 13 | class TestUtils(unittest.TestCase): 14 | def test__replace_df_inplace(self): 15 | df = pd.DataFrame({"a": [1, 2], "b": [3, 4]}) 16 | df_new = pd.DataFrame({"a": [1]}) 17 | replace_df_inplace(df, df_new) 18 | self.assertEqual(len(df), 1) 19 | self.assertEqual(len(df.columns), 1) 20 | self.assertListEqual(list(df["a"].values), [1]) 21 | 22 | 23 | if __name__ == "__main__": 24 | unittest.main() 25 | -------------------------------------------------------------------------------- /ankipandas/util/test/test_log.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import unittest 5 | 6 | # ours 7 | from ankipandas.util.log import get_logger, log, set_log_level 8 | 9 | 10 | class TestLogging(unittest.TestCase): 11 | """Only tests that things run without error.""" 12 | 13 | def test_log(self): 14 | log.info("Test info") 15 | log.warning("Test warning") 16 | 17 | def test_get_logger(self): 18 | get_logger().info("Test info") 19 | get_logger().warning("Test warning") 20 | 21 | def test_set_log_level(self): 22 | set_log_level("warning") 23 | set_log_level("WARNING") 24 | set_log_level(0) 25 | 26 | 27 | if __name__ == "__main__": 28 | unittest.main() 29 | -------------------------------------------------------------------------------- /ankipandas/util/test/test_misc.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import unittest 5 | 6 | # ours 7 | from ankipandas.util.misc import invert_dict 8 | 9 | 10 | class TestInvertDict(unittest.TestCase): 11 | def test_ok(self): 12 | a = {1: 2, 3: 4, 5: 6} 13 | self.assertDictEqual(invert_dict(a), {2: 1, 4: 3, 6: 5}) 14 | 15 | def test_fails(self): 16 | a = {1: 2, 3: 2} 17 | with self.assertRaises(ValueError): 18 | invert_dict(a) 19 | 20 | 21 | if __name__ == "__main__": 22 | unittest.main() 23 | -------------------------------------------------------------------------------- /ankipandas/util/test/test_types.py: -------------------------------------------------------------------------------- 1 | # std 2 | from __future__ import annotations 3 | 4 | import unittest 5 | 6 | from ankipandas.util.log import set_debug_log_level 7 | 8 | # ours 9 | from ankipandas.util.types import ( 10 | is_dict_list_like, 11 | is_list_dict_like, 12 | is_list_like, 13 | is_list_list_like, 14 | ) 15 | 16 | 17 | class TestTypes(unittest.TestCase): 18 | def setUp(self): 19 | set_debug_log_level() 20 | 21 | def test_is_list_like(self): 22 | self.assertTrue(is_list_like([1, 2])) 23 | self.assertTrue(is_list_like((1, 2))) 24 | self.assertFalse(is_list_like("asdf")) 25 | 26 | def test_is_list_list_like(self): 27 | self.assertTrue(is_list_list_like([[1, 2]])) 28 | self.assertTrue(is_list_list_like([(1, 2)])) 29 | self.assertFalse(is_list_list_like([(1, 2), 3])) 30 | 31 | def test_is_list_dict_like(self): 32 | self.assertTrue(is_list_dict_like([{1: 3}, {4: 5}])) 33 | self.assertTrue(is_list_dict_like([])) 34 | self.assertFalse(is_list_dict_like([(1, 2), (4, 5)])) 35 | 36 | def test_is_dict_list_like(self): 37 | self.assertTrue(is_dict_list_like({1: [], 2: (3, 4)})) 38 | self.assertTrue(is_dict_list_like({})) 39 | self.assertFalse(is_dict_list_like([(1, 2), (4, 5)])) 40 | 41 | 42 | if __name__ == "__main__": 43 | unittest.main() 44 | -------------------------------------------------------------------------------- /ankipandas/util/types.py: -------------------------------------------------------------------------------- 1 | def is_list_like(obj): 2 | """True if object type is similar to list, tuple etc.""" 3 | return isinstance(obj, (tuple, list)) 4 | 5 | 6 | def is_list_list_like(obj): 7 | """True if object is like-like object of list-like objects""" 8 | return is_list_like(obj) and all(map(is_list_like, obj)) 9 | 10 | 11 | def is_list_dict_like(obj): 12 | """True if object is list-like object of dictionaries.""" 13 | return is_list_like(obj) and all(map(lambda x: isinstance(x, dict), obj)) 14 | 15 | 16 | def is_dict_list_like(obj): 17 | """True if object is dictionary with list-like objects as values.""" 18 | return isinstance(obj, dict) and all(map(is_list_like, obj.values())) 19 | -------------------------------------------------------------------------------- /ankipandas/version.txt: -------------------------------------------------------------------------------- 1 | 0.3.15 2 | -------------------------------------------------------------------------------- /codespell.txt: -------------------------------------------------------------------------------- 1 | hist 2 | inpt 3 | assertIn 4 | -------------------------------------------------------------------------------- /doc/Makefile: -------------------------------------------------------------------------------- 1 | # Makefile for Sphinx documentation 2 | # 3 | 4 | # You can set these variables from the command line. 5 | SPHINXOPTS = 6 | SPHINXBUILD = sphinx-build 7 | PAPER = 8 | BUILDDIR = _build 9 | 10 | # User-friendly check for sphinx-build 11 | ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) 12 | $(error The '$(SPHINXBUILD)' command was not found. 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If you don't have Sphinx installed, grab it from http://sphinx-doc.org/) 13 | endif 14 | 15 | # Internal variables. 16 | PAPEROPT_a4 = -D latex_paper_size=a4 17 | PAPEROPT_letter = -D latex_paper_size=letter 18 | ALLSPHINXOPTS = -d $(BUILDDIR)/doctrees $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . 19 | # the i18n builder cannot share the environment and doctrees with the others 20 | I18NSPHINXOPTS = $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) . 21 | 22 | .PHONY: help 23 | help: 24 | @echo "Please use \`make ' where is one of" 25 | @echo " html to make standalone HTML files" 26 | @echo " dirhtml to make HTML files named index.html in directories" 27 | @echo " singlehtml to make a single large HTML file" 28 | @echo " pickle to make pickle files" 29 | @echo " json to make JSON files" 30 | @echo " htmlhelp to make HTML files and a HTML help project" 31 | @echo " qthelp to make HTML files and a qthelp project" 32 | @echo " applehelp to make an Apple Help Book" 33 | @echo " devhelp to make HTML files and a Devhelp project" 34 | @echo " epub to make an epub" 35 | @echo " latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter" 36 | @echo " latexpdf to make LaTeX files and run them through pdflatex" 37 | @echo " latexpdfja to make LaTeX files and run them through platex/dvipdfmx" 38 | @echo " text to make text files" 39 | @echo " man to make manual pages" 40 | @echo " texinfo to make Texinfo files" 41 | @echo " info to make Texinfo files and run them through makeinfo" 42 | @echo " gettext to make PO message catalogs" 43 | @echo " changes to make an overview of all changed/added/deprecated items" 44 | @echo " xml to make Docutils-native XML files" 45 | @echo " pseudoxml to make pseudoxml-XML files for display purposes" 46 | @echo " linkcheck to check all external links for integrity" 47 | @echo " doctest to run all doctests embedded in the documentation (if enabled)" 48 | @echo " coverage to run coverage check of the documentation (if enabled)" 49 | 50 | .PHONY: clean 51 | clean: 52 | rm -rf $(BUILDDIR)/* 53 | 54 | .PHONY: html 55 | html: 56 | $(SPHINXBUILD) -b html $(ALLSPHINXOPTS) $(BUILDDIR)/html 57 | @echo 58 | @echo "Build finished. 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The XML files are in $(BUILDDIR)/xml." 211 | 212 | .PHONY: pseudoxml 213 | pseudoxml: 214 | $(SPHINXBUILD) -b pseudoxml $(ALLSPHINXOPTS) $(BUILDDIR)/pseudoxml 215 | @echo 216 | @echo "Build finished. The pseudo-XML files are in $(BUILDDIR)/pseudoxml." 217 | -------------------------------------------------------------------------------- /doc/ankidf.rst: -------------------------------------------------------------------------------- 1 | AnkiDataFrame 2 | ^^^^^^^^^^^^^ 3 | 4 | The class :class:`~ankipandas.ankidf.AnkiDataFrame` is the central data 5 | structure in which we provide the notes, cards and review tables. 6 | Access it via an instance of :class:`~ankipandas.collection.Collection`. 7 | 8 | Example: 9 | 10 | .. code-block:: python 11 | 12 | from ankipandas import Collection 13 | col = Collection() 14 | 15 | col.notes # Notes as AnkiDataFrame 16 | col.cards # Cards as AnkiDataFrame 17 | col.revs # Reviews as AnkiDataFrame 18 | 19 | .. autoclass:: ankipandas.ankidf.AnkiDataFrame 20 | :members: 21 | :undoc-members: 22 | :exclude-members: equals, update, append 23 | -------------------------------------------------------------------------------- /doc/collection.rst: -------------------------------------------------------------------------------- 1 | Collection 2 | ^^^^^^^^^^ 3 | 4 | This is the starting point for most end-users. 5 | The :class:`~ankipandas.collection.Collection` class loads the Anki collection 6 | and provides access to its notes, cards and reviews as pandas 7 | :class:`~pandas.DataFrame` objects. 8 | 9 | .. autoclass:: ankipandas.collection.Collection 10 | :members: 11 | :undoc-members: 12 | -------------------------------------------------------------------------------- /doc/conf.py: -------------------------------------------------------------------------------- 1 | from __future__ import annotations 2 | 3 | import os 4 | import pathlib 5 | import sys 6 | from pathlib import Path 7 | 8 | # If extensions (or modules to document with autodoc) are in another directory, 9 | # add these directories to sys.path here. If the directory is relative to the 10 | # documentation root, use os.path.abspath to make it absolute, like shown here. 11 | sys.path.insert(0, os.path.abspath("../")) 12 | 13 | readme_path = Path(__file__).parent.resolve().parent / "README.md" 14 | readme_target = Path(__file__).parent / "readme.md" 15 | 16 | with readme_target.open("w") as outf: 17 | outf.write( 18 | "\n".join( 19 | [ 20 | "Readme", 21 | "======", 22 | "", 23 | ] 24 | ) 25 | ) 26 | lines = [] 27 | for line in readme_path.read_text().split("\n"): 28 | lines.append(line) 29 | outf.write("\n".join(lines)) 30 | 31 | 32 | # -- General configuration ------------------------------------------------ 33 | 34 | # If your documentation needs a minimal Sphinx version, state it here. 35 | # needs_sphinx = '1.0' 36 | 37 | autodoc_mock_imports = [] 38 | 39 | autodoc_default_options = { 40 | "special-members": "__init__", 41 | "undoc-members": True, 42 | "show-inheritance": True, 43 | } 44 | 45 | autodoc_inherit_docstrings = False 46 | 47 | autoclass_content = "class" 48 | 49 | # https://stackoverflow.com/questions/12772927/ 50 | # Will only work for sphinx > 1.4 onward 51 | suppress_warnings = ["image.nonlocal_uri"] 52 | 53 | # Add any Sphinx extension module names here, as strings. They can be 54 | # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom 55 | # ones. 56 | extensions = [ 57 | "sphinx.ext.autodoc", 58 | "sphinx.ext.todo", 59 | "sphinx.ext.coverage", 60 | "sphinx.ext.mathjax", 61 | "sphinx.ext.ifconfig", 62 | "sphinx.ext.viewcode", 63 | "sphinx.ext.napoleon", 64 | "sphinx.ext.intersphinx", 65 | "recommonmark", 66 | ] 67 | 68 | intersphinx_mapping = { 69 | "python": ("https://docs.python.org/3", None), 70 | "pandas": ("http://pandas-docs.github.io/pandas-docs-travis/", None), 71 | } 72 | 73 | # Add any paths that contain templates here, relative to this directory. 74 | templates_path = ["_templates"] 75 | 76 | # The suffix(es) of source filenames. 77 | # You can specify multiple suffix as a list of string: 78 | source_suffix = [".rst", ".md"] 79 | # source_suffix = ".rst" 80 | 81 | # The encoding of source files. 82 | # source_encoding = 'utf-8-sig' 83 | 84 | # The master toctree document. 85 | master_doc = "index" 86 | 87 | # General information about the project. 88 | project = "AnkiPandas" 89 | copyright = "2019, Kilian Lieret" 90 | author = "Kilian Lieret" 91 | 92 | # The version info for the project you're documenting, acts as replacement for 93 | # |version| and |release|, also used in various other places throughout the 94 | # built documents. 95 | # 96 | 97 | this_dir = pathlib.Path(__file__).resolve().parent 98 | with (this_dir / ".." / "ankipandas" / "version.txt").open() as vf: 99 | version = vf.read().strip() 100 | print(f"Version as read from version.txt: '{version}'") 101 | 102 | # The short X.Y version. 103 | # version = 'dev' 104 | # The full version, including alpha/beta/rc tags. 105 | release = version 106 | 107 | # The language for content autogenerated by Sphinx. Refer to documentation 108 | # for a list of supported languages. 109 | # 110 | # This is also used if you do content translation via gettext catalogs. 111 | # Usually you set "language" from the command line for these cases. 112 | language = None 113 | 114 | # There are two options for replacing |today|: either, you set today to some 115 | # non-false value, then it is used: 116 | # today = '' 117 | # Else, today_fmt is used as the format for a strftime call. 118 | # today_fmt = '%B %d, %Y' 119 | 120 | # List of patterns, relative to source directory, that match files and 121 | # directories to ignore when looking for source files. 122 | exclude_patterns = ["_build"] 123 | 124 | # The reST default role (used for this markup: `text`) to use for all 125 | # documents. 126 | # default_role = None 127 | 128 | # If true, '()' will be appended to :func: etc. cross-reference text. 129 | # add_function_parentheses = True 130 | 131 | # If true, the current module name will be prepended to all description 132 | # unit titles (such as .. function::). 133 | # add_module_names = True 134 | 135 | # If true, sectionauthor and moduleauthor directives will be shown in the 136 | # output. They are ignored by default. 137 | # show_authors = False 138 | 139 | # The name of the Pygments (syntax highlighting) style to use. 140 | pygments_style = "sphinx" 141 | 142 | # A list of ignored prefixes for module index sorting. 143 | # modindex_common_prefix = [] 144 | 145 | # If true, keep warnings as "system message" paragraphs in the built documents. 146 | # keep_warnings = False 147 | 148 | # If true, `todo` and `todoList` produce output, else they produce nothing. 149 | todo_include_todos = True 150 | 151 | # -- Options for HTML output ---------------------------------------------- 152 | 153 | # The theme to use for HTML and HTML Help pages. See the documentation for 154 | # a list of builtin themes. 155 | # html_theme = 'alabaster' 156 | 157 | # Add any paths that contain custom themes here, relative to this directory. 158 | # html_theme_path = ["_themes"] 159 | 160 | try: 161 | import importlib 162 | 163 | theme = importlib.import_module("sphinx_book_theme") 164 | html_theme = "sphinx_book_theme" 165 | html_theme_path = [theme.get_html_theme_path()] 166 | except ImportError: 167 | print( 168 | "**** WARNING ****: reverting to default theme, because " 169 | "sphinx_book_theme is not installed" 170 | ) 171 | html_theme = "default" 172 | print(f"html_theme='{html_theme}'") 173 | 174 | # Theme options are theme-specific and customize the look and feel of a theme 175 | # further. For a list of options available for each theme, see the 176 | # documentation. 177 | # html_theme_options = {} 178 | 179 | if html_theme == "sphinx_rtd_theme": 180 | html_theme_options = {"logo_only": True} 181 | else: 182 | html_theme_options = {} 183 | print(f"html_theme_options={html_theme_options}") 184 | 185 | if html_theme == "sphinx_rtd_theme": 186 | html_logo = "../misc/logo/logo_rtd.svg" 187 | else: 188 | html_logo = "../misc/logo/logo.svg" 189 | 190 | # The name for this set of Sphinx documents. If None, it defaults to 191 | # " v documentation". 192 | # html_title = None 193 | 194 | # A shorter title for the navigation bar. Default is the same as html_title. 195 | # html_short_title = None 196 | 197 | # The name of an image file (relative to this directory) to place at the top 198 | # of the sidebar. 199 | 200 | # The name of an image file (relative to this directory) to use as a favicon of 201 | # the docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 202 | # pixels large. 203 | # html_favicon = None 204 | 205 | # Add any paths that contain custom static files (such as style sheets) here, 206 | # relative to this directory. They are copied after the builtin static files, 207 | # so a file named "default.css" will overwrite the builtin "default.css". 208 | # html_static_path = ['_static'] 209 | 210 | 211 | # Output file base name for HTML help builder. 212 | htmlhelp_basename = "AnkiPandas" 213 | 214 | # -- Options for LaTeX output --------------------------------------------- 215 | 216 | latex_elements = { 217 | # The paper size ('letterpaper' or 'a4paper'). 218 | # 'papersize': 'letterpaper', 219 | # The font size ('10pt', '11pt' or '12pt'). 220 | # 'pointsize': '10pt', 221 | # Additional stuff for the LaTeX preamble. 222 | # 'preamble': '', 223 | # Latex figure (float) alignment 224 | # 'figure_align': 'htbp', 225 | } 226 | 227 | # Grouping the document tree into LaTeX files. List of tuples 228 | # (source start file, target name, title, 229 | # author, documentclass [howto, manual, or own class]). 230 | latex_documents = [ 231 | (master_doc, "ankipandas.tex", "AnkiPandas", "Kilian Lieret", "manual") 232 | ] 233 | 234 | # -- Options for manual page output --------------------------------------- 235 | 236 | # One entry per manual page. List of tuples 237 | # (source start file, name, description, authors, manual section). 238 | man_pages = [(master_doc, "ankipandas", "AnkiPandas", [author], 1)] 239 | 240 | # If true, show URL addresses after external links. 241 | # man_show_urls = False 242 | 243 | 244 | # -- Options for Texinfo output ------------------------------------------- 245 | 246 | # Grouping the document tree into Texinfo files. List of tuples 247 | # (source start file, target name, title, author, 248 | # dir menu entry, description, category) 249 | texinfo_documents = [ 250 | ( 251 | master_doc, 252 | "ankipandas", 253 | "AnkiPandas", 254 | author, 255 | "AnkiPandas", 256 | "Load your anki database as a pandas DataFrame with just one " 257 | "line of code!", 258 | "Miscellaneous", 259 | ) 260 | ] 261 | 262 | # Documents to append as an appendix to all manuals. 263 | # texinfo_appendices = [] 264 | 265 | # If false, no module index is generated. 266 | # texinfo_domain_indices = True 267 | 268 | # How to display URL addresses: 'footnote', 'no', or 'inline'. 269 | # texinfo_show_urls = 'footnote' 270 | 271 | # If true, do not generate a @detailmenu in the "Top" node's menu. 272 | # texinfo_no_detailmenu = False 273 | 274 | 275 | # -- Options for Epub output ---------------------------------------------- 276 | 277 | # Bibliographic Dublin Core info. 278 | epub_title = project 279 | epub_author = author 280 | epub_publisher = author 281 | epub_copyright = copyright 282 | 283 | # The basename for the epub file. It defaults to the project name. 284 | # epub_basename = project 285 | 286 | # The HTML theme for the epub output. Since the default themes are not 287 | # optimized for small screen space, using the same theme for HTML and epub 288 | # output is usually not wise. This defaults to 'epub', a theme designed to save 289 | # visual space. 290 | # epub_theme = 'epub' 291 | 292 | # The language of the text. It defaults to the language option 293 | # or 'en' if the language is not set. 294 | # epub_language = '' 295 | 296 | # The scheme of the identifier. Typical schemes are ISBN or URL. 297 | # epub_scheme = '' 298 | 299 | # The unique identifier of the text. This can be a ISBN number 300 | # or the project homepage. 301 | # epub_identifier = '' 302 | 303 | # A unique identification for the text. 304 | # epub_uid = '' 305 | 306 | # A tuple containing the cover image and cover page html template filenames. 307 | # epub_cover = () 308 | 309 | # A sequence of (type, uri, title) tuples for the guide element of content.opf. 310 | # epub_guide = () 311 | 312 | # HTML files that should be inserted before the pages created by sphinx. 313 | # The format is a list of tuples containing the path and title. 314 | # epub_pre_files = [] 315 | 316 | # HTML files that should be inserted after the pages created by sphinx. 317 | # The format is a list of tuples containing the path and title. 318 | # epub_post_files = [] 319 | 320 | # A list of files that should not be packed into the epub file. 321 | epub_exclude_files = ["search.html"] 322 | 323 | # The depth of the table of contents in toc.ncx. 324 | # epub_tocdepth = 3 325 | 326 | # Allow duplicate toc entries. 327 | # epub_tocdup = True 328 | 329 | # Choose between 'default' and 'includehidden'. 330 | # epub_tocscope = 'default' 331 | 332 | # Fix unsupported image types using the Pillow. 333 | # epub_fix_images = False 334 | 335 | # Scale large images. 336 | # epub_max_image_width = 0 337 | 338 | # How to display URL addresses: 'footnote', 'no', or 'inline'. 339 | # epub_show_urls = 'inline' 340 | 341 | # If false, no index is generated. 342 | # epub_use_index = True 343 | 344 | # Do not order alphabetically but by source 345 | autodoc_member_order = "bysource" 346 | -------------------------------------------------------------------------------- /doc/examples.rst: -------------------------------------------------------------------------------- 1 | Analysis 2 | -------- 3 | 4 | .. note:: 5 | 6 | All examples assume the line 7 | 8 | .. code-block:: python 9 | 10 | col = Collection() 11 | 12 | Or ``col = Collection("/path/to/col.anki2")``, etc. 13 | 14 | In which deck are the most leeches? 15 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 16 | 17 | .. literalinclude:: examples/examples/leeches_per_deck.py 18 | :linenos: 19 | 20 | .. image:: examples/plots/leeches_per_deck.png 21 | 22 | Which deck has the longest average retention rates? 23 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 24 | 25 | .. literalinclude:: examples/examples/retention_rate_per_deck.py 26 | :linenos: 27 | 28 | .. image:: examples/plots/retention_rate_per_deck.png 29 | 30 | Repetitions vs type 31 | ^^^^^^^^^^^^^^^^^^^ 32 | 33 | Minimal: 34 | 35 | .. code-block:: python 36 | 37 | col.cards.hist("crepts", by="ctype") 38 | 39 | Prettier: 40 | 41 | .. literalinclude:: examples/examples/repetitions_per_type.py 42 | :linenos: 43 | 44 | .. image:: examples/plots/repetitions_per_type.png 45 | 46 | Repetitions vs deck 47 | ^^^^^^^^^^^^^^^^^^^ 48 | 49 | One liner: 50 | 51 | .. code-block:: python 52 | 53 | col.cards.hist(column="creps", by="cdeck") 54 | 55 | Prettier: 56 | 57 | .. literalinclude:: examples/examples/repetitions_per_deck.py 58 | :linenos: 59 | 60 | .. image:: examples/plots/repetitions_per_deck.png 61 | 62 | Retention distribution vs deck 63 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 64 | 65 | .. literalinclude:: examples/examples/retention_distribution_vs_deck.py 66 | :linenos: 67 | 68 | .. image:: examples/plots/retention_distribution_vs_deck.png 69 | 70 | Reviews vs retention length vs deck 71 | ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 72 | 73 | .. literalinclude:: examples/examples/reviews_vs_ease.py 74 | :linenos: 75 | 76 | .. image:: examples/plots/reviews_vs_ease.png 77 | -------------------------------------------------------------------------------- /doc/examples/col.anki2: -------------------------------------------------------------------------------- 1 | /home/fuchur/.local/share/Anki2/fuchurMain/collection.anki2 -------------------------------------------------------------------------------- /doc/examples/examples/leeches_per_deck.py: -------------------------------------------------------------------------------- 1 | cards = col.cards.merge_notes() 2 | counts = cards[cards.has_tag("leech")]["cdeck"].value_counts() 3 | counts.plot.pie(title="Leeches per deck") 4 | -------------------------------------------------------------------------------- /doc/examples/examples/repetitions_per_deck.py: -------------------------------------------------------------------------------- 1 | interesting_decks = list(col.cards.cdeck.unique()) 2 | interesting_decks.remove("archived::physics") 3 | selected = col.cards[col.cards.cdeck.isin(interesting_decks)] 4 | axss = selected.hist( 5 | column="creps", 6 | by="cdeck", 7 | sharex=True, 8 | layout=(5, 4), 9 | figsize=(15, 15), 10 | density=True, 11 | ) 12 | for axs in axss: 13 | for ax in axs: 14 | ax.set_xlabel("#Reviews") 15 | ax.set_ylabel("Count") 16 | -------------------------------------------------------------------------------- /doc/examples/examples/repetitions_per_type.py: -------------------------------------------------------------------------------- 1 | axs = col.cards.hist(column="creps", by="ctype", layout=(1, 2), figsize=(12, 3)) 2 | for ax in axs: 3 | ax.set_xlabel("#Reviews") 4 | ax.set_ylabel("Count") 5 | -------------------------------------------------------------------------------- /doc/examples/examples/retention_distribution_vs_deck.py: -------------------------------------------------------------------------------- 1 | from __future__ import annotations 2 | 3 | import matplotlib.pyplot as plt 4 | import numpy as np 5 | 6 | ax = plt.gca() 7 | for deck in col.cards.cdeck.unique(): 8 | selected = col.cards[col.cards.cdeck == deck]["civl"] 9 | if len(selected) < 1000: 10 | continue 11 | selected.plot.hist( 12 | ax=ax, 13 | label=deck, 14 | histtype="step", 15 | linewidth=2, 16 | xlim=(0, 365), 17 | bins=np.linspace(0, 365, 10), 18 | ) 19 | ax.set_xlabel("Predicted retention length (review interval)") 20 | ax.set_ylabel("Number of cards") 21 | ax.set_title("Expected retention length per deck [days]") 22 | ax.legend(frameon=False) 23 | -------------------------------------------------------------------------------- /doc/examples/examples/retention_rate_per_deck.py: -------------------------------------------------------------------------------- 1 | grouped = col.cards.groupby("cdeck") 2 | data = grouped.mean()["civl"].sort_values().tail() 3 | ax = data.plot.barh() 4 | ax.set_ylabel("Deck name") 5 | ax.set_xlabel("Average expected retention length/review interval [days]") 6 | ax.set_title("Average retention length per deck") 7 | -------------------------------------------------------------------------------- /doc/examples/examples/reviews_vs_ease.py: -------------------------------------------------------------------------------- 1 | from __future__ import annotations 2 | 3 | import pandas as pd 4 | 5 | xs = [] 6 | ys = [] 7 | decks = [] 8 | for deck in col.cards.cdeck.unique(): 9 | selected = col.cards[col.cards["cdeck"] == deck] 10 | if len(selected) < 500: 11 | continue 12 | decks.append(deck) 13 | binned = pd.qcut(selected["creps"], 15, duplicates="drop") 14 | results = selected.groupby(binned)["civl"].mean() 15 | y = results.tolist() 16 | x = results.index.map(lambda x: x.mid).tolist() 17 | xs.append(x) 18 | ys.append(y) 19 | 20 | ax = plt.gca() 21 | for i in range(len(xs)): 22 | ax.plot(xs[i], ys[i], "o-", label=decks[i]) 23 | ax.set_xlabel("#Reviews") 24 | ax.set_ylabel("Expected retention length/review interval [days]") 25 | ax.set_title("Number of reviews vs retention length") 26 | ax.legend(frameon=False) 27 | -------------------------------------------------------------------------------- /doc/examples/loader.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | # std 4 | from __future__ import annotations 5 | 6 | import logging 7 | import os 8 | import sys 9 | from pathlib import Path 10 | 11 | # 3rd 12 | import matplotlib.pyplot as plt 13 | 14 | # ours 15 | sys.path.insert(0, "../..") 16 | import ankipandas # noqa E402 17 | from ankipandas.util.log import get_logger # noqa E402 18 | 19 | 20 | class Loader: 21 | def __init__(self): 22 | this_dir = Path(__file__).parent 23 | self.col_path = this_dir / "col.anki2" 24 | self.examples_dir = this_dir / "examples" 25 | self.output_dir = this_dir / "plots" 26 | self.log = get_logger() 27 | self.log.setLevel(logging.DEBUG) 28 | 29 | def get_examples(self): 30 | examples = [] 31 | for root, _, files in os.walk(str(self.examples_dir)): 32 | for file in files: 33 | examples.append(Path(root) / file) 34 | return examples 35 | 36 | def run_example(self, path: Path, save=True): 37 | self.log.info("Running example %s", path) 38 | col = ankipandas.Collection(self.col_path) # noqa F841 39 | with path.open("r") as example_file: 40 | exec(example_file.read()) 41 | if save: 42 | out = self.output_dir.resolve() / (path.resolve().stem + ".png") 43 | self.log.info("Plotting to %s", out) 44 | plt.savefig(out, bbox_inches="tight", transparent=True, dpi=75) 45 | plt.cla() 46 | plt.clf() 47 | plt.close() 48 | 49 | def run_all(self, **kwargs): 50 | for example in self.get_examples(): 51 | self.run_example(example, **kwargs) 52 | 53 | 54 | if __name__ == "__main__": 55 | loader = Loader() 56 | loader.run_all() 57 | -------------------------------------------------------------------------------- /doc/examples/plots/leeches_per_deck.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/doc/examples/plots/leeches_per_deck.png -------------------------------------------------------------------------------- /doc/examples/plots/repetitions_per_deck.png: -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/doc/examples/plots/retention_rate_per_deck.png -------------------------------------------------------------------------------- /doc/examples/plots/reviews_vs_ease.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/doc/examples/plots/reviews_vs_ease.png -------------------------------------------------------------------------------- /doc/faq.md: -------------------------------------------------------------------------------- 1 | Questions & Answers 2 | =================== 3 | 4 | > What do the different columns mean? 5 | 6 | Please use the `help`, `help_cols`, or `help_col` methods of the `AnkiDataFrame` 7 | object to display information about the columns. 8 | 9 | > How to get the creation time of a card/note? 10 | 11 | The IDs of the cards/notes correspond to the creation time. 12 | See [issue #112](https://github.com/klieret/AnkiPandas/issues/112) for a small 13 | code snippet to convert it to a ``datetime`` object. 14 | 15 | > Can I access deck settings (e.g., the card intake per day) from `ankipandas`? 16 | 17 | This is currently not supported by `ankipandas`. However, you can find related 18 | discussion in [issue #113](https://github.com/klieret/AnkiPandas/issues/113). 19 | -------------------------------------------------------------------------------- /doc/index.rst: -------------------------------------------------------------------------------- 1 | AnkiPandas 2 | ========== 3 | 4 | Load your anki database as a pandas DataFrame with just one 5 | line of code! 6 | 7 | .. toctree:: 8 | :maxdepth: 2 9 | :caption: Basics 10 | 11 | readme 12 | troubleshooting 13 | faq 14 | 15 | .. toctree:: 16 | :maxdepth: 2 17 | :caption: Examples 18 | 19 | examples 20 | projects_with_ap 21 | 22 | .. toctree:: 23 | :maxdepth: 2 24 | :caption: Module documentation 25 | 26 | collection 27 | ankidf 28 | paths 29 | raw 30 | util 31 | -------------------------------------------------------------------------------- /doc/paths.rst: -------------------------------------------------------------------------------- 1 | Paths and Searching 2 | ^^^^^^^^^^^^^^^^^^^ 3 | 4 | 5 | .. automodule:: ankipandas.paths 6 | :members: 7 | :undoc-members: 8 | -------------------------------------------------------------------------------- /doc/projects_with_ap.rst: -------------------------------------------------------------------------------- 1 | Projects that use AnkiPandas 2 | ---------------------------- 3 | 4 | .. note:: 5 | 6 | To add your project, please open an `issue `_. 7 | 8 | * `cryptocoinserver/AnkiCardSimilarity.py `_ A script that checks for similar cards in a deck and adds tags to them. It uses TF-IDF and cosine similarity to calculate the similarity between cards. 9 | * `thiswillbeyourgithub/DocToolsLLM `_: AI powered Q&A on any kind of document or combination of documents, including entire anki collections, pdfs, videos, youtube playlists etc. 10 | * `thiswillbeyourgithub/Anki-Semantic-Search `_: Use AI (fastText's multilingual word vectors) to search through your anki notes! 11 | -------------------------------------------------------------------------------- /doc/raw.rst: -------------------------------------------------------------------------------- 1 | Internals 2 | ^^^^^^^^^ 3 | 4 | 5 | .. automodule:: ankipandas.raw 6 | :members: 7 | :undoc-members: 8 | -------------------------------------------------------------------------------- /doc/requirements.txt: -------------------------------------------------------------------------------- 1 | recommonmark 2 | sphinx_book_theme 3 | git+https://github.com/klieret/AnkiPandas.git 4 | -------------------------------------------------------------------------------- /doc/troubleshooting.rst: -------------------------------------------------------------------------------- 1 | Troubleshooting 2 | --------------- 3 | 4 | Getting help 5 | ^^^^^^^^^^^^ 6 | 7 | Submit an `issue on github`_. Thank you for 8 | improving this toolkit with me! 9 | 10 | .. _issue on github: https://github.com/klieret/ankipandas/issues 11 | 12 | Common problems 13 | ^^^^^^^^^^^^^^^ 14 | 15 | * **Locked database**: While Anki is running, your database will be locked and 16 | you might not be able to access it. Simply close Anki and try again. Similarly 17 | Anki might refuse to open the database if ``ankipandas`` has currently opened 18 | it (be it in a Jupyter notebook or in a currently running project). 19 | 20 | .. note:: 21 | 22 | Any unlisted problem that you ran into (and solved)? Help others by bringing 23 | it to my attention_. Please check if there is already an issue created for 24 | it by going through this list_. 25 | 26 | .. _attention: https://github.com/klieret/ankipandas/issues 27 | .. _list: https://github.com/klieret/AnkiPandas/issues?q=is%3Aissue+is%3Aopen+sort%3Aupdated-desc+label%3Abug 28 | 29 | 30 | Debugging 31 | ^^^^^^^^^ 32 | 33 | For better debugging, you can increase the log level of ``ankipandas``: 34 | 35 | .. code-block:: python 36 | 37 | ankipandas.set_log_level("debug") 38 | -------------------------------------------------------------------------------- /doc/util.rst: -------------------------------------------------------------------------------- 1 | Utilities 2 | ^^^^^^^^^ 3 | 4 | .. automodule:: ankipandas.util 5 | 6 | .. automodule:: ankipandas.util.log 7 | :members: 8 | :undoc-members: 9 | 10 | .. automodule:: ankipandas.util.dataframe 11 | :members: 12 | :undoc-members: 13 | 14 | .. automodule:: ankipandas.util.misc 15 | :members: 16 | :undoc-members: 17 | 18 | .. automodule:: ankipandas.util.checksum 19 | :members: 20 | :undoc-members: 21 | -------------------------------------------------------------------------------- /misc/logo/logo_github.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/klieret/AnkiPandas/0b17a1870711d4adc3e9fc82bff8aac986b09f5e/misc/logo/logo_github.png -------------------------------------------------------------------------------- /mlc_config.json: -------------------------------------------------------------------------------- 1 | { 2 | "ignorePatterns": [ 3 | { 4 | "pattern": "https://github.com/issues?.*" 5 | } 6 | ] 7 | } 8 | -------------------------------------------------------------------------------- /mypy.ini: -------------------------------------------------------------------------------- 1 | [mypy] 2 | ignore_missing_imports = True 3 | follow_imports = silent 4 | -------------------------------------------------------------------------------- /pyproject.toml: -------------------------------------------------------------------------------- 1 | [tool.black] 2 | line-length = 80 3 | target-version = ["py37"] 4 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | pandas 2 | colorlog 3 | randomfiletree 4 | numpy 5 | -------------------------------------------------------------------------------- /setup.cfg: -------------------------------------------------------------------------------- 1 | [metadata] 2 | name = ankipandas 3 | description = Load your anki database as a pandas DataFrame with just one line of code! 4 | url = https://github.com/klieret/ankipandas 5 | version = file: ankipandas/version.txt 6 | long_description = file: README.md 7 | long_description_content_type = text/markdown 8 | license = MIT 9 | license_file = LICENSE.txt 10 | python_requires = >=3.7 11 | project_urls = 12 | Bug Tracker = https://github.com/klieret/ankipandas/issues 13 | Documentation = https://ankipandas.readthedocs.io/ 14 | Source Code = https://github.com/klieret/ankipandas/ 15 | keywords = 16 | anki 17 | pandas 18 | dataframe 19 | classifiers = 20 | Programming Language :: Python :: 3 21 | Programming Language :: Python :: 3.7 22 | Programming Language :: Python :: 3.8 23 | Programming Language :: Python :: 3.9 24 | Programming Language :: Python :: 3.10 25 | License :: OSI Approved :: MIT License 26 | Operating System :: OS Independent 27 | Topic :: Database 28 | Topic :: Education 29 | Topic :: Utilities 30 | 31 | [options] 32 | packages = find: 33 | include_package_data = True 34 | zip_safe = False 35 | 36 | 37 | [tool:pytest] 38 | addopts = --cov=ankipandas 39 | -------------------------------------------------------------------------------- /setup.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python3 2 | 3 | """ To install this package, change to the directory of this file and run 4 | 5 | pip3 install --user . 6 | 7 | (the ``--user`` flag installs the package for your user account only, otherwise 8 | you will need administrator rights). 9 | """ 10 | 11 | from __future__ import annotations 12 | 13 | # std 14 | import site 15 | import sys 16 | from pathlib import Path 17 | 18 | # noinspection PyUnresolvedReferences 19 | import setuptools 20 | 21 | # Sometimes editable install fails with an error message about user site 22 | # being not writeable. The following line can fix that, see 23 | # https://github.com/pypa/pip/issues/7953 24 | site.ENABLE_USER_SITE = "--user" in sys.argv[1:] 25 | 26 | this_dir = Path(__file__).resolve().parent 27 | 28 | setuptools.setup( 29 | install_requires=[ 30 | req.strip() 31 | for req in (this_dir / "requirements.txt").read_text().splitlines() 32 | if req.strip() and not req.startswith("#") 33 | ] 34 | ) 35 | --------------------------------------------------------------------------------