From b26c597ac8358eb4f3c9a8c15b9f95d0ba13e59d Mon Sep 17 00:00:00 2001 From: Kamil Raczycki Date: Tue, 3 Sep 2024 00:13:00 +0200 Subject: [PATCH] feat: release 0.0.1 --- .gitignore | 167 + .pre-commit-config.yaml | 73 + LICENSE | 201 + README.md | 4 + docs/.pages | 4 + docs/api/CLI.md | 3 + docs/assets/css/docstrings.css | 68 + docs/assets/css/font.css | 10 + docs/assets/css/jupyter.css | 66 + docs/assets/css/logo.css | 7 + docs/assets/css/palette.css | 7 + docs/assets/logos/favicon.ico | Bin 0 -> 15406 bytes docs/assets/logos/overturemaestro_logo.png | Bin 0 -> 688425 bytes docs/copy_examples.py | 33 + docs/copy_readme.py | 8 + docs/gen_cli_docs.py | 75 + docs/gen_ref_pages.py | 41 + docs/javascripts/copy_to_clipboard_patch.js | 38 + docs/templates/python/material/class.html | 140 + docs/templates/python/material/function.html | 94 + mkdocs.yml | 140 + overturemaestro/__init__.py | 25 + overturemaestro/_geometry_clustering.py | 77 + overturemaestro/_parquet_multiprocessing.py | 274 + overturemaestro/_rich_progress.py | 60 + overturemaestro/conftest.py | 35 + overturemaestro/data_downloader.py | 422 ++ overturemaestro/functions.py | 297 ++ overturemaestro/release_index.py | 384 ++ pdm.lock | 4830 ++++++++++++++++++ pdm.toml | 2 + pyproject.toml | 201 + tests/__init__.py | 0 33 files changed, 7786 insertions(+) create mode 100644 .gitignore create mode 100644 .pre-commit-config.yaml create mode 100644 LICENSE create mode 100644 README.md create mode 100644 docs/.pages create mode 100644 docs/api/CLI.md create mode 100644 docs/assets/css/docstrings.css create mode 100644 docs/assets/css/font.css create mode 100644 docs/assets/css/jupyter.css create mode 100644 docs/assets/css/logo.css create mode 100644 docs/assets/css/palette.css create mode 100644 docs/assets/logos/favicon.ico create mode 100644 docs/assets/logos/overturemaestro_logo.png create mode 100644 docs/copy_examples.py create mode 100644 docs/copy_readme.py create mode 100644 docs/gen_cli_docs.py create mode 100644 docs/gen_ref_pages.py create mode 100644 docs/javascripts/copy_to_clipboard_patch.js create mode 100644 docs/templates/python/material/class.html create mode 100644 docs/templates/python/material/function.html create mode 100644 mkdocs.yml create mode 100644 overturemaestro/__init__.py create mode 100644 overturemaestro/_geometry_clustering.py create mode 100644 overturemaestro/_parquet_multiprocessing.py create mode 100644 overturemaestro/_rich_progress.py create mode 100644 overturemaestro/conftest.py create mode 100644 overturemaestro/data_downloader.py create mode 100644 overturemaestro/functions.py create mode 100644 overturemaestro/release_index.py create mode 100644 pdm.lock create mode 100644 pdm.toml create mode 100644 pyproject.toml create mode 100644 tests/__init__.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5004789 --- /dev/null +++ b/.gitignore @@ -0,0 +1,167 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm-project.org/#use-with-ide +.pdm.toml +.pdm-python +.pdm-build/ + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +cache/ +release_indexes/ +files/ +overture_bounding_boxes/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..e757e6f --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,73 @@ +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +default_stages: [commit] +repos: + - repo: https://github.com/compilerla/conventional-pre-commit + rev: v3.4.0 + hooks: + - id: conventional-pre-commit + stages: [commit-msg] + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: 'v0.5.6' + hooks: + - id: ruff + args: [--fix, --exit-non-zero-on-fix, --show-fixes] + - repo: https://github.com/PyCQA/docformatter + rev: v1.7.5 + hooks: + - id: docformatter + additional_dependencies: [tomli] + args: ["--in-place", "--config", "./pyproject.toml"] + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.11.1 + hooks: + - id: mypy + additional_dependencies: ['types-requests', 'types-six'] + - repo: https://github.com/pdm-project/pdm + rev: 2.17.3 + hooks: + - id: pdm-lock-check + - id: pdm-export + args: ["-o", "requirements.txt", "--without-hashes", "-dG:all"] + files: ^pdm.lock$ + stages: [manual] + - repo: https://github.com/kynan/nbstripout + rev: 0.7.1 + hooks: + - id: nbstripout + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-toml + - id: check-yaml + exclude: mkdocs.yml # See https://github.com/readthedocs/readthedocs.org/issues/6889 + - id: check-added-large-files + args: ['--maxkb=1000'] + - id: detect-private-key + - repo: https://github.com/dosisod/refurb + rev: v2.0.0 + hooks: + - id: refurb + args: ["--python-version", "3.9", "--format", "github"] + language: python + language_version: python3.10 + stages: [manual] + - repo: https://github.com/FHPythonUtils/LicenseCheck + rev: "2024.2" + hooks: + - id: licensecheck + stages: [manual] + +ci: + autofix_commit_msg: | + fix(pre-commit.ci): auto fixes from pre-commit.com hooks + + for more information, see https://pre-commit.ci + autofix_prs: true + autoupdate_branch: "" + autoupdate_commit_msg: "build(pre-commit.ci): pre-commit autoupdate" + autoupdate_schedule: monthly + skip: [] + submodules: false diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/README.md b/README.md new file mode 100644 index 0000000..ff84a64 --- /dev/null +++ b/README.md @@ -0,0 +1,4 @@ +

+
+ Generated using DALL·E 3 model with this prompt: Cute stylized conducting virtuoso using a paper map as music sheet. White background, minimalistic, vector graphics, clean background, encased in a circle. In navy and gold colours. Logo for a python library, should work well as small icon. +

diff --git a/docs/.pages b/docs/.pages new file mode 100644 index 0000000..ea746d5 --- /dev/null +++ b/docs/.pages @@ -0,0 +1,4 @@ +nav: + - Home: README.md + - Examples: examples + - ... diff --git a/docs/api/CLI.md b/docs/api/CLI.md new file mode 100644 index 0000000..25af5a6 --- /dev/null +++ b/docs/api/CLI.md @@ -0,0 +1,3 @@ +# CLI Reference + +Text below is a captured `--help` command output. diff --git a/docs/assets/css/docstrings.css b/docs/assets/css/docstrings.css new file mode 100644 index 0000000..501f86b --- /dev/null +++ b/docs/assets/css/docstrings.css @@ -0,0 +1,68 @@ +.doc-class > .doc-heading-code, +.doc-function > .doc-heading-code { + font-size: 1rem !important; + margin-top: -1em !important; + display: flex; +} + +.doc-class > .doc-heading-code .highlight, +.doc-function > .doc-heading-code .highlight { + flex-grow: 1; +} + +.doc-class > .doc-heading-code a, +.doc-function > .doc-heading-code a { + margin-top: auto; + margin-bottom: auto; +} + +.doc-class > .doc-labels, +.doc-function > .doc-labels { + margin-top: -1.2rem; + display: block; + font-size: 1.2em; +} + +/* Indentation. */ +div.doc-contents:not(.first) { + padding-left: 25px; + border-left: 0.05rem solid var(--md-typeset-table-color); +} + +/* Mark external links as such. */ +a.external::after, +a.autorefs-external::after { + /* https://primer.style/octicons/arrow-up-right-24 */ + mask-image: url('data:image/svg+xml,'); + -webkit-mask-image: url('data:image/svg+xml,'); + content: " "; + + display: inline-block; + vertical-align: middle; + position: relative; + + height: 1em; + width: 1em; + background-color: var(--md-typeset-a-color); +} + +a.external:hover::after, +a.autorefs-external:hover::after { + background-color: var(--md-accent-fg-color); +} + +table.highlighttable td.linenos, +span.linenos, +.highlight .gp, +.highlight .go { + user-select: none; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; +} + +.highlight code { + font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, + "Liberation Mono", "Courier New", monospace, SFMono-Regular, Consolas, Menlo, + monospace; +} diff --git a/docs/assets/css/font.css b/docs/assets/css/font.css new file mode 100644 index 0000000..5950ebe --- /dev/null +++ b/docs/assets/css/font.css @@ -0,0 +1,10 @@ +@import url("https://fonts.googleapis.com/css2?family=Noto+Sans+Mono&display=swap"); +@import url("https://fonts.googleapis.com/css2?family=Noto+Sans+Mono&text=┌─┬┐└┴┘│├┼┤╭╮╰╯&display=swap"); +@import url("https://fonts.googleapis.com/css2?family=Euphoria+Script&display=swap"); + + +.md-header__topic:first-child { + font-family: "Euphoria Script"; + font-size: 1.6rem; + color: var(--overturemaestro-text-color); +} diff --git a/docs/assets/css/jupyter.css b/docs/assets/css/jupyter.css new file mode 100644 index 0000000..6ef4771 --- /dev/null +++ b/docs/assets/css/jupyter.css @@ -0,0 +1,66 @@ +.jp-InputArea-prompt, +.jp-Cell-inputCollapser { + visibility: collapse; + display: none !important; +} + +.jp-OutputArea-prompt { + visibility: hidden; + background-color: red; + position: absolute; + right: 0; +} + +.jp-CodeCell>.jp-Cell-outputWrapper { + margin-top: -10px; + padding-top: 0; + display: table-cell; + text-align: left; +} + +.jp-Cell-outputWrapper>.jp-Cell-outputCollapser { + margin-top: -17px; +} + +.jupyter-wrapper table.dataframe tr, +.jupyter-wrapper table.dataframe th, +.jupyter-wrapper table.dataframe td { + text-align: left; +} + +.jupyter-wrapper table.dataframe { + table-layout: auto; +} + +.jp-RenderedImage.jp-OutputArea-output { + text-align: center; +} + +.jupyter-wrapper .zeroclipboard-container { + z-index: 3 !important; +} + +div.highlight pre code, +div.jp-RenderedText.jp-OutputArea-output>pre, +div.jp-RenderedText.jp-OutputArea-output.jp-OutputArea-executeResult>pre { + font-family: "Noto Sans Mono", ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, + "Liberation Mono", "Courier New", monospace, SFMono-Regular, Consolas, 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z%UiNI3&4PXgB*G-6EXm2vG)?%Yz$u7l$eMIgJzfsDlzZ*j3e6K2fVGu1Mja;rlfZ$f7kR zvsA1z#2Hv+6aqQE_Z@CzkhUUy; z%a^0VAOmQV7X}uPOS}CFZIHW~k|t%Ya9ihxgC)`kpE2YsgiBnCWU5DqaHTJ%%Fb=bO|vA{TxuI zOqMtld|~tu zJ+pc3^$qp%E6}x5D#9w@`1SB>?Dk*%Pv(klV7o-1O3#=9Y705wf#?06xAd72RO;1w z!`OlP;j6$6A19=%9b2?I1^CkBj|ZjcM!Nx>Zohgn7ektN_hPq|!s}R?t1KE$N^J(_ jd9s(mh(pJv7f#RLo7f!Jy-}lj4*VcB^%13ao`(MqRms&` literal 0 HcmV?d00001 diff --git a/docs/copy_examples.py b/docs/copy_examples.py new file mode 100644 index 0000000..3f22fa3 --- /dev/null +++ b/docs/copy_examples.py @@ -0,0 +1,33 @@ +"""Examples copying utility function.""" + +from pathlib import Path + +import mkdocs_gen_files + +EXAMPLES_DIRECTORY_PATH = Path("examples") + + +def write_file(file_path: Path) -> None: + """ + Copies file from examples directory into mkdocs scope. + + Args: + file_path (Path): Current file path. + """ + root_path = file_path.relative_to(".") + print(f"Copying {root_path} file to {root_path}") + with root_path.open("rb") as src, mkdocs_gen_files.open(root_path, "wb") as dst: + dst.write(src.read()) + + +banned_directories = ["cache", "files", "example_files", "__pycache__", "lightning_logs"] +for i in EXAMPLES_DIRECTORY_PATH.glob("**/*"): + if i.is_file() and i.suffix == ".ipynb": + should_copy = True + for banned_directory in banned_directories: + if banned_directory in i.parts: + should_copy = False + break + + if should_copy: + write_file(i) diff --git a/docs/copy_readme.py b/docs/copy_readme.py new file mode 100644 index 0000000..c22b6f9 --- /dev/null +++ b/docs/copy_readme.py @@ -0,0 +1,8 @@ +"""Readme copying utility function.""" + +from pathlib import Path + +import mkdocs_gen_files + +with Path("README.md").open("rb") as src, mkdocs_gen_files.open("README.md", "wb") as dst: + dst.write(src.read()) diff --git a/docs/gen_cli_docs.py b/docs/gen_cli_docs.py new file mode 100644 index 0000000..5c45859 --- /dev/null +++ b/docs/gen_cli_docs.py @@ -0,0 +1,75 @@ +"""Capture the CLI help page and save it to the docs.""" + +from pathlib import Path +from typing import cast + +import mkdocs_gen_files +import typer +from rich.console import Console +from typer.rich_utils import ( + COLOR_SYSTEM, + FORCE_TERMINAL, + STYLE_METAVAR, + STYLE_METAVAR_SEPARATOR, + STYLE_NEGATIVE_OPTION, + STYLE_NEGATIVE_SWITCH, + STYLE_OPTION, + STYLE_SWITCH, + STYLE_USAGE, + Theme, + highlighter, + rich_format_help, +) + +from overturemaestro.cli import app + +API_DIRECTORY_PATH = Path("api") + +GLOBAL_CONSOLE = None + + +def _get_rich_console_new(stderr: bool = False) -> Console: + global GLOBAL_CONSOLE # noqa: PLW0603 + GLOBAL_CONSOLE = Console( + theme=Theme( + { + "option": STYLE_OPTION, + "switch": STYLE_SWITCH, + "negative_option": STYLE_NEGATIVE_OPTION, + "negative_switch": STYLE_NEGATIVE_SWITCH, + "metavar": STYLE_METAVAR, + "metavar_sep": STYLE_METAVAR_SEPARATOR, + "usage": STYLE_USAGE, + }, + ), + record=True, + highlighter=highlighter, + color_system=COLOR_SYSTEM, + force_terminal=FORCE_TERMINAL, + width=240, + stderr=stderr, + ) + return GLOBAL_CONSOLE + + +typer.rich_utils._get_rich_console = _get_rich_console_new + +typer_obj = app + +click_obj = typer.main.get_command(typer_obj) +ctx = typer.Context(command=click_obj, info_name="OvertureMaestro") +rich_format_help(obj=click_obj, ctx=ctx, markup_mode="rich") +html_text: str = cast(Console, GLOBAL_CONSOLE).export_html( + inline_styles=True, + code_format='

{code}
', +) +html_text = html_text.replace( + "font-weight: bold", + ( + "font-weight: normal;" + " text-shadow: calc(-0.06ex) 0 0 currentColor, calc(0.06ex) 0 0 currentColor;" + ), +) + +with mkdocs_gen_files.open(API_DIRECTORY_PATH / "CLI.md", "a") as fd: + print(html_text, file=fd) diff --git a/docs/gen_ref_pages.py b/docs/gen_ref_pages.py new file mode 100644 index 0000000..bd2aa83 --- /dev/null +++ b/docs/gen_ref_pages.py @@ -0,0 +1,41 @@ +"""Generate the code reference pages.""" + +import os +from pathlib import Path + +import mkdocs_gen_files + +FULL_API_DIRECTORY_PATH = Path("full_api") + +nav = mkdocs_gen_files.Nav() + +is_dev = os.getenv("MKDOCS_DEV", "true").lower() == "true" + +if is_dev: + for path in sorted(Path("overturemaestro").rglob("*.py")): + module_path = path.relative_to("overturemaestro").with_suffix("") + doc_path = path.relative_to("overturemaestro").with_suffix(".md") + full_doc_path = Path(FULL_API_DIRECTORY_PATH, doc_path) + + parts = list(module_path.parts) + + if parts[-1] == "__init__": + parts = parts[:-1] + doc_path = doc_path.with_name("index.md") + full_doc_path = full_doc_path.with_name("index.md") + elif parts[-1] == "__main__": + continue + + if not parts: + continue + + nav[parts] = doc_path.as_posix() + + with mkdocs_gen_files.open(full_doc_path, "w") as fd: + identifier = ".".join(parts) + print(f"::: {identifier}", file=fd) + + mkdocs_gen_files.set_edit_path(full_doc_path, path) + + with mkdocs_gen_files.open(f"{FULL_API_DIRECTORY_PATH}/README.md", "w") as nav_file: + nav_file.writelines(nav.build_literate_nav()) diff --git a/docs/javascripts/copy_to_clipboard_patch.js b/docs/javascripts/copy_to_clipboard_patch.js new file mode 100644 index 0000000..8a031ee --- /dev/null +++ b/docs/javascripts/copy_to_clipboard_patch.js @@ -0,0 +1,38 @@ +const SELECTABILITY_PROPERTIES = [ + "user-select", + "-webkit-user-select", + "-ms-user-select", + "-moz-user-select" +]; + +document$.subscribe(function () { + makeButtonsCopySelectableOnly(); +}) + +function makeButtonsCopySelectableOnly() { + const buttonsToFix = document.querySelectorAll(".highlight button.md-clipboard"); + buttonsToFix.forEach((button) => { + button.dataset.clipboardText = extractText(button.dataset.clipboardTarget); + }); +} + +function extractText(selector) { + const element = document.querySelector(selector); + return Array.from(element.childNodes) + .filter(child => includeInOutput(child)) + .map(child => child.textContent) + .join("") + .trimEnd(); +} + +function includeInOutput(element) { + if (element instanceof Element) { + return isSelectable(element); + } + return true; +} + +function isSelectable(element) { + const childStyle = window.getComputedStyle(element); + return !SELECTABILITY_PROPERTIES.some((prop) => childStyle.getPropertyValue(prop) == "none"); +} diff --git a/docs/templates/python/material/class.html b/docs/templates/python/material/class.html new file mode 100644 index 0000000..e7907d9 --- /dev/null +++ b/docs/templates/python/material/class.html @@ -0,0 +1,140 @@ +{{ log.debug("Rendering " + class.path) }} + +
+{% with obj = class, html_id = class.path %} + + {% if root %} + {% set show_full_path = config.show_root_full_path %} + {% set root_members = True %} + {% elif root_members %} + {% set show_full_path = config.show_root_members_full_path or config.show_object_full_path %} + {% set root_members = False %} + {% else %} + {% set show_full_path = config.show_object_full_path %} + {% endif %} + + {% set class_name = class.path if show_full_path else class.name %} + + {% set heading_classes = "doc doc-heading" if config.separate_signature else "doc doc-heading-code" %} + + {% if not root or config.show_root_heading %} + + {% filter heading(heading_level, + role="class", + id=html_id, + class=heading_classes, + toc_label=class.name) %} + + {% block heading scoped %} + {% if config.separate_signature %} + {{ class_name }} + {% elif config.merge_init_into_class and "__init__" in class.all_members %} + {% with function = class.all_members["__init__"] %} + {%+ filter format_signature(function, config.line_length, crossrefs=config.signature_crossrefs) %} + {{ class_name }} + {% endfilter %} + {% endwith %} + {% else %} + {{ class_name|highlight(language="python", linenums=False) }} + {% endif %} + {% endblock heading %} + + {% endfilter %} + + {% block labels scoped %} + {% with labels = class.labels %} + {% include "labels.html" with context %} + {% endwith %} + {% endblock labels %} + + {% block signature scoped %} + {% if config.separate_signature and config.merge_init_into_class %} + {% if "__init__" in class.all_members %} + {% with function = class.all_members["__init__"] %} + {% filter format_signature(function, config.line_length, crossrefs=config.signature_crossrefs) %} + {{ class.name }} + {% endfilter %} + {% endwith %} + {% endif %} + {% endif %} + {% endblock signature %} + + {% else %} + {% if config.show_root_toc_entry %} + {% filter heading(heading_level, + role="class", + id=html_id, + toc_label=class.name, + hidden=True) %} + {% endfilter %} + {% endif %} + {% set heading_level = heading_level - 1 %} + {% endif %} + +
+ {% block contents scoped %} + {% block bases scoped %} + {% if config.show_bases and class.bases %} +

+ Bases: {% for expression in class.bases -%} + {% include "expression.html" with context %}{% if not loop.last %}, {% endif %} + {% endfor -%} +

+ {% endif %} + {% endblock bases %} + + {% block docstring scoped %} + {% with docstring_sections = class.docstring.parsed %} + {% include "docstring.html" with context %} + {% endwith %} + {% if config.merge_init_into_class %} + {% if "__init__" in class.all_members and class.all_members["__init__"].has_docstring %} + {% with docstring_sections = class.all_members["__init__"].docstring.parsed %} + {% include "docstring.html" with context %} + {% endwith %} + {% endif %} + {% endif %} + {% endblock docstring %} + + {% block source scoped %} + {% if config.show_source %} + {% if config.merge_init_into_class %} + {% if "__init__" in class.all_members and class.all_members["__init__"].source %} + {% with init = class.all_members["__init__"] %} +
+ Source code in + {%- if init.relative_filepath.is_absolute() -%} + {{ init.relative_package_filepath }} + {%- else -%} + {{ init.relative_filepath }} + {%- endif -%} + + {{ init.source|highlight(language="python", linestart=init.lineno, linenums=True) }} +
+ {% endwith %} + {% endif %} + {% elif class.source %} +
+ Source code in + {%- if class.relative_filepath.is_absolute() -%} + {{ class.relative_package_filepath }} + {%- else -%} + {{ class.relative_filepath }} + {%- endif -%} + + {{ class.source|highlight(language="python", linestart=class.lineno, linenums=True) }} +
+ {% endif %} + {% endif %} + {% endblock source %} + + {% block children scoped %} + {% set root = False %} + {% set heading_level = heading_level + 1 %} + {% include "children.html" with context %} + {% endblock children %} + {% endblock contents %} +
+ +{% endwith %} +
diff --git a/docs/templates/python/material/function.html b/docs/templates/python/material/function.html new file mode 100644 index 0000000..be7c49c --- /dev/null +++ b/docs/templates/python/material/function.html @@ -0,0 +1,94 @@ +{{ log.debug("Rendering " + function.path) }} + +{% import "language.html" as lang with context %} + +
+{% with obj = function, html_id = function.path %} + + {% if root %} + {% set show_full_path = config.show_root_full_path %} + {% set root_members = True %} + {% elif root_members %} + {% set show_full_path = config.show_root_members_full_path or config.show_object_full_path %} + {% set root_members = False %} + {% else %} + {% set show_full_path = config.show_object_full_path %} + {% endif %} + + {% set function_name = function.path if show_full_path else function.name %} + + {% set heading_classes = "doc doc-heading" if config.separate_signature else "doc doc-heading-code" %} + + {% if not root or config.show_root_heading %} + + {% filter heading(heading_level, + role="function", + id=html_id, + class=heading_classes, + toc_label=function.name ~ "()") %} + + {% block heading scoped %} + {% if config.separate_signature %} + {{ function_name }} + {% else %} + {%+ filter format_signature(function, config.line_length, crossrefs=config.signature_crossrefs) %} + {{ function_name }} + {% endfilter %} + {% endif %} + {% endblock heading %} + + {% endfilter %} + + {% block labels scoped %} + {% with labels = function.labels %} + {% include "labels.html" with context %} + {% endwith %} + {% endblock labels %} + + {% block signature scoped %} + {% if config.separate_signature %} + {% filter format_signature(function, config.line_length, crossrefs=config.signature_crossrefs) %} + {{ function.name }} + {% endfilter %} + {% endif %} + {% endblock signature %} + + {% else %} + {% if config.show_root_toc_entry %} + {% filter heading(heading_level, + role="function", + id=html_id, + toc_label=function.name, + hidden=True) %} + {% endfilter %} + {% endif %} + {% set heading_level = heading_level - 1 %} + {% endif %} + +
+ {% block contents scoped %} + {% block docstring scoped %} + {% with docstring_sections = function.docstring.parsed %} + {% include "docstring.html" with context %} + {% endwith %} + {% endblock docstring %} + + {% block source scoped %} + {% if config.show_source and function.source %} +
+ {{ lang.t("Source code in") }} + {%- if function.relative_filepath.is_absolute() -%} + {{ function.relative_package_filepath }} + {%- else -%} + {{ function.relative_filepath }} + {%- endif -%} + + {{ function.source|highlight(language="python", linestart=function.lineno, linenums=True) }} +
+ {% endif %} + {% endblock source %} + {% endblock contents %} +
+ +{% endwith %} +
diff --git a/mkdocs.yml b/mkdocs.yml new file mode 100644 index 0000000..ebe138f --- /dev/null +++ b/mkdocs.yml @@ -0,0 +1,140 @@ +site_name: "OvertureMaestro" +site_url: null + +repo_url: https://github.com/kraina-ai/overturemaestro +repo_name: kraina-ai/overturemaestro + +edit_uri: "edit/main/docs/" + +watch: + - examples + + +theme: + name: material + features: + - navigation.tabs + - navigation.tabs.sticky + - navigation.instant + - navigation.tracking + - navigation.top + - navigation.indexes + - navigation.path + - toc.integrate + - content.code.annotate + - content.action.edit + - content.action.view + - content.code.copy + favicon: assets/logos/favicon.ico + logo: assets/logos/overturemaestro_logo.png + icon: + repo: material/github + palette: + # Palette toggle for light mode + - media: "(prefers-color-scheme: light)" + scheme: default + primary: blue grey + accent: amber + toggle: + icon: material/brightness-7 + name: Switch to dark mode + + # Palette toggle for dark mode + - media: "(prefers-color-scheme: dark)" + scheme: slate + primary: blue grey + accent: amber + toggle: + icon: material/brightness-4 + name: Switch to light mode + +extra: + consent: + title: Cookie consent + description: >- + We use cookies to recognize your repeated visits and preferences, as well + as to measure the effectiveness of our documentation and whether users + find what they're searching for. With your consent, you're helping us to + make our documentation better. + cookies: + github: + name: Github + checked: true + actions: + - accept + - manage + version: + provider: mike + +extra_css: + - assets/css/docstrings.css + - assets/css/font.css + - assets/css/palette.css + - assets/css/jupyter.css + - assets/css/logo.css + +extra_javascript: + - javascripts/copy_to_clipboard_patch.js + +copyright: > + Copyright © 2022 - {current_year} Kraina AI – + Change cookie settings + +plugins: + - mike: + canonical_version: "latest" + version_selector: true + - gen-files: + scripts: + - docs/copy_readme.py + - docs/copy_examples.py + - docs/gen_ref_pages.py + - docs/gen_cli_docs.py + - search + - mkdocstrings: + custom_templates: docs/templates + handlers: + python: + paths: [overturemaestro] + options: + show_source: true + show_root_heading: false + show_root_toc_entry: false + docstring_section_style: "spacy" + show_signature: true + show_signature_annotations: false + line_length: 60 + members_order: "source" + docstring_options: + ignore_init_summary: true + merge_init_into_class: true + inherited_members: true + show_root_full_path: true + show_root_members_full_path: false + show_object_full_path: false + - mkdocs-jupyter: + include: ["*.ipynb"] + ignore_h1_titles: true + execute: !ENV [MKDOCS_EXECUTE_JUPYTER, false] + include_source: false + allow_errors: false + - mermaid2 + - awesome-pages + +markdown_extensions: + - attr_list + - md_in_html + - toc: + permalink: true + - footnotes + - pymdownx.magiclink + - pymdownx.highlight: + anchor_linenums: true + - pymdownx.inlinehilite + - pymdownx.snippets: + check_paths: true + - pymdownx.superfences: + custom_fences: + - name: mermaid + class: mermaid + format: !!python/name:pymdownx.superfences.fence_code_format diff --git a/overturemaestro/__init__.py b/overturemaestro/__init__.py new file mode 100644 index 0000000..b817f44 --- /dev/null +++ b/overturemaestro/__init__.py @@ -0,0 +1,25 @@ +""" +OvertureMaestro. + +OvertureMaestro is a Python library used for downloading Overture Maps datasets with quality of life +features. +""" + +from overturemaestro.functions import ( + convert_geometry_to_geodataframe, + convert_geometry_to_geodataframe_for_multiple_types, + convert_geometry_to_parquet, + convert_geometry_to_parquet_for_multiple_types, +) +from overturemaestro.release_index import get_available_theme_type_pairs + +__app_name__ = "OvertureMaestro" +__version__ = "0.0.1" + +__all__ = [ + "convert_geometry_to_geodataframe", + "convert_geometry_to_geodataframe_for_multiple_types", + "convert_geometry_to_parquet", + "convert_geometry_to_parquet_for_multiple_types", + "get_available_theme_type_pairs", +] diff --git a/overturemaestro/_geometry_clustering.py b/overturemaestro/_geometry_clustering.py new file mode 100644 index 0000000..4fa2c6a --- /dev/null +++ b/overturemaestro/_geometry_clustering.py @@ -0,0 +1,77 @@ +import itertools +from collections.abc import Generator, Iterable +from typing import Any + +import polars as pl +from sklearn.cluster import Birch + +EARTH_RADIUS_KM = 6371 +CLUSTERING_THRESHOLD = 20 / EARTH_RADIUS_KM # calculate 20 kilometers threshold + + +def calculate_row_group_bounding_box( + parquet_filename: str, parquet_row_group: int, pyarrow_table: Any +) -> Any: + df = ( + pl.from_arrow(pyarrow_table) + .with_row_index(name="row_index") + .unnest("bbox") + .select( + [ + pl.col("row_index"), + pl.col("xmin"), + pl.col("xmax"), + pl.col("ymin"), + pl.col("ymax"), + pl.sum_horizontal("xmin", "xmax").truediv(2).radians().alias("x_rad"), + pl.sum_horizontal("ymin", "ymax").truediv(2).radians().alias("y_rad"), + ] + ) + ) + + cluster_labels = ( + Birch(n_clusters=None, threshold=CLUSTERING_THRESHOLD).fit(df[["x_rad", "y_rad"]]).labels_ + ) + + aggregated_bounding_boxes = ( + df.with_columns(pl.Series(name="label", values=cluster_labels)) + .group_by("label") + .agg( + pl.col("xmin").min(), + pl.col("xmax").max(), + pl.col("ymin").min(), + pl.col("ymax").max(), + pl.col("row_index").alias("row_indexes"), + ) + .select( + pl.lit(parquet_filename).alias("filename"), + pl.lit(parquet_row_group).alias("row_group"), + pl.col("xmin"), + pl.col("xmax"), + pl.col("ymin"), + pl.col("ymax"), + pl.col("row_indexes") + .map_elements( + lambda lst: list(calculate_ranges(lst)), return_dtype=pl.List(pl.List(pl.Int64)) + ) + .cast(pl.List(pl.List(pl.UInt32))) + .alias("row_indexes_ranges"), + ) + ) + + return aggregated_bounding_boxes.to_arrow() + + +# https://stackoverflow.com/a/4629241 +def calculate_ranges(i: Iterable[int]) -> Generator[tuple[int, int]]: + for _a, b in itertools.groupby(enumerate(i), lambda pair: pair[1] - pair[0]): + b_lst = list(b) + yield b_lst[0][1], b_lst[-1][1] + + +def decompress_ranges(ranges: list[list[int]]) -> list[int]: + return list( + itertools.chain.from_iterable( + range(range_bounds[0], range_bounds[1] + 1) for range_bounds in ranges + ) + ) diff --git a/overturemaestro/_parquet_multiprocessing.py b/overturemaestro/_parquet_multiprocessing.py new file mode 100644 index 0000000..ef9d0ef --- /dev/null +++ b/overturemaestro/_parquet_multiprocessing.py @@ -0,0 +1,274 @@ +import multiprocessing +from pathlib import Path +from queue import Empty, Queue +from time import sleep, time +from typing import TYPE_CHECKING, Any, Callable, Optional, Union + +if TYPE_CHECKING: + from multiprocessing.managers import ValueProxy + from threading import Lock + + import pyarrow as pa + import pyarrow.fs as fs + from rich.progress import Progress + +# Using `spawn` method to enable integration with Polars and probably other Rust-based libraries +# https://docs.pola.rs/user-guide/misc/multiprocessing/ +ctx: multiprocessing.context.SpawnContext = multiprocessing.get_context("spawn") + + +class MultiprocessingRuntimeError(RuntimeError): ... + + +def _job( + queue: Queue[tuple[str, int]], + tracker: "ValueProxy[int]", + tracker_lock: "Lock", + save_path: Path, + function: Callable[[str, int, "pa.Table"], "pa.Table"], + columns: Optional[list[str]], + filesystem: "fs.FileSystem", +) -> None: # pragma: no cover + import pyarrow.dataset as ds + import pyarrow.parquet as pq + + current_pid = multiprocessing.current_process().pid + + filepath = save_path / f"{current_pid}.parquet" + writer = None + while not queue.empty(): + try: + file_name, row_group_index = None, None + file_name, row_group_index = queue.get_nowait() + + fragment_manual = ds.ParquetFileFormat().make_fragment( + file=file_name, + filesystem=filesystem, + row_groups=[row_group_index], + ) + row_group_table = fragment_manual.to_table(columns=columns) + if row_group_table.num_rows == 0: + with tracker_lock: + tracker.value += 1 + continue + + result_table = function(file_name, row_group_index, row_group_table) + + if result_table.num_rows == 0: + with tracker_lock: + tracker.value += 1 + continue + + if not writer: + writer = pq.ParquetWriter(filepath, result_table.schema) + + writer.write_table(result_table) + + with tracker_lock: + tracker.value += 1 + except Empty: + pass + except Exception as ex: + if file_name is not None and row_group_index is not None: + queue.put((file_name, row_group_index)) + + msg = ( + f"Error in worker (PID: {current_pid}," + f" Parquet: {file_name}, Row group: {row_group_index})" + ) + raise MultiprocessingRuntimeError(msg) from ex + + if writer: + writer.close() + + +class WorkerProcess(ctx.Process): # type: ignore[name-defined,misc] + def __init__(self, *args: Any, **kwargs: Any): + multiprocessing.Process.__init__(self, *args, **kwargs) + self._pconn, self._cconn = multiprocessing.Pipe() + self._exception: Optional[tuple[Exception, str]] = None + + def run(self) -> None: # pragma: no cover + try: + multiprocessing.Process.run(self) + self._cconn.send(None) + except Exception as e: + import traceback + + tb: str = traceback.format_exc() + self._cconn.send((e, tb)) + + @property + def exception(self) -> Optional[tuple[Exception, str]]: + if self._pconn.poll(): + self._exception = self._pconn.recv() + return self._exception + + +def _read_row_group_number(path: str, filesystem: "fs.FileSystem") -> int: + import pyarrow.parquet as pq + + return int(pq.ParquetFile(path, filesystem=filesystem).num_row_groups) + + +def map_parquet_dataset( + dataset_path: Union[str, list[str]], + destination_path: Path, + function: Callable[[str, int, "pa.Table"], "pa.Table"], + progress_description: str, + columns: Optional[list[str]] = None, + filesystem: Optional["fs.FileSystem"] = None, + report_progress_as_text: bool = True, +) -> None: + """ + Apply a function over parquet dataset in a multiprocessing environment. + + Will save results in multiple files in a destination path. + + Args: + dataset_path (Union[str, list[str]]): Path(s) of the parquet dataset. + destination_path (Path): Path of the destination. + function (Callable[[str, pa.Table], pa.Table]): Function to apply over a parquet file name + and a row group table. Will save resulting table in a new parquet file. + progress_description (str): Progress bar description. + columns (Optional[list[str]], optional): List of columns to read. Defaults to `None`. + progress_bar (Optional[TaskProgressBar], optional): Progress bar to show task status. + Defaults to `None`. + filesystem (Optional[fs.FileSystem], optional): Filesystem for the dataset. + Defaults to `None`. + report_progress_as_text (bool, optional): Whether to report task progress every minute. + Defaults to `True`. + """ + from concurrent.futures import ProcessPoolExecutor + from functools import partial + + import pyarrow.parquet as pq + + from overturemaestro._rich_progress import TrackProgressBar + + manager = ctx.Manager() + queue: Queue[tuple[str, int]] = manager.Queue() + tracker: ValueProxy[int] = manager.Value("i", 0) + tracker_lock: Lock = manager.Lock() + + dataset = pq.ParquetDataset(dataset_path, filesystem=filesystem) + + no_cpus = multiprocessing.cpu_count() + min_no_workers = 32 if no_cpus >= 8 else 16 + no_workers = min( + max(min_no_workers, multiprocessing.cpu_count() + 4), 64 + ) # minimum 16 / 32 workers, but not more than 64 + + with TrackProgressBar() as progress: + total_files = len(dataset.files) + with ProcessPoolExecutor(max_workers=min(no_workers, total_files)) as ex: + fn = partial(_read_row_group_number, filesystem=dataset.filesystem) + row_group_numbers = list( + progress.track( + ex.map(fn, dataset.files, chunksize=1), + description="Reading all parquet files row groups", + total=total_files, + ) + ) + + for pq_file, row_group_number in zip(dataset.files, row_group_numbers): + for row_group in range(row_group_number): + queue.put((pq_file, row_group)) + + total = queue.qsize() + + destination_path.mkdir(parents=True, exist_ok=True) + + try: + processes = [ + WorkerProcess( + target=_job, + args=( + queue, + tracker, + tracker_lock, + destination_path, + function, + columns, + dataset.filesystem, + ), + ) + for _ in range(min(no_workers, total)) + ] + with TrackProgressBar() as progress_bar: + progress_bar.add_task(description=progress_description, total=total) + _run_processes( + processes=processes, + queue=queue, + tracker=tracker, + tracker_lock=tracker_lock, + total=total, + progress_bar=progress_bar, + report_progress_as_text=report_progress_as_text, + ) + finally: # pragma: no cover + _report_exceptions(processes=processes) + + +def _run_processes( + processes: list[WorkerProcess], + queue: Queue[tuple[str, int]], + tracker: "ValueProxy[int]", + tracker_lock: "Lock", + total: int, + progress_bar: "Progress", + report_progress_as_text: bool, +) -> None: + # Run processes + for p in processes: + if queue.empty(): + break + p.start() + + sleep_time = 0.1 + next_update_time = time() + while any(process.is_alive() for process in processes): + if any(p.exception for p in processes): # pragma: no cover + break + + with tracker_lock: + completed = tracker.value + + progress_bar.update(task_id=progress_bar.task_ids[0], completed=completed, refresh=True) + + if report_progress_as_text: + current_time = time() + if time() >= next_update_time: + progress_bar.print_progress() + next_update_time = current_time + 60 + + sleep(sleep_time) + sleep_time = min(1.0, sleep_time + 0.1) + + progress_bar.update(task_id=progress_bar.task_ids[0], completed=total, refresh=True) + + +def _report_exceptions(processes: list[WorkerProcess]) -> None: + # In case of exception + exceptions = [] + for p in processes: + if p.is_alive(): + p.terminate() + + if p.exception: + exceptions.append(p.exception) + + if exceptions: + # use ExceptionGroup in Python3.11 + _raise_multiple(exceptions) + + +def _raise_multiple(exceptions: list[tuple[Exception, str]]) -> None: + if not exceptions: + return + try: + error, traceback = exceptions.pop() + msg = f"{error}\n\nOriginal {traceback}" + raise type(error)(msg) + finally: + _raise_multiple(exceptions) diff --git a/overturemaestro/_rich_progress.py b/overturemaestro/_rich_progress.py new file mode 100644 index 0000000..eae36be --- /dev/null +++ b/overturemaestro/_rich_progress.py @@ -0,0 +1,60 @@ +from typing import Any + +from rich.progress import ( + BarColumn, + MofNCompleteColumn, + Progress, + ProgressColumn, + SpinnerColumn, + Task, + Text, + TextColumn, + TimeElapsedColumn, + TimeRemainingColumn, +) + + +class SpeedColumn(ProgressColumn): # type: ignore[misc] + def render(self, task: "Task") -> Text: + if task.speed is None: + return Text("0 it/s") + elif task.speed >= 1: + return Text(f"{task.speed:.2f} it/s") + else: + return Text(f"{1/task.speed:.2f} s/it") # noqa: FURB126 + + +class TrackProgressBar(Progress): # type: ignore[misc] + def __init__( + self, + **kwargs: Any, + ) -> None: + super().__init__( + SpinnerColumn(), + TextColumn( + "[progress.description]{task.description}" + " [progress.percentage]{task.percentage:>3.0f}%" + ), + BarColumn(), + MofNCompleteColumn(), + TextColumn("•"), + TimeElapsedColumn(), + TextColumn("<"), + TimeRemainingColumn(), + TextColumn("•"), + SpeedColumn(), + refresh_per_second=1, + speed_estimate_period=3600, + **kwargs, + ) + + def print_progress(self) -> None: + current_task = self.tasks[0] + mofn = self.columns[3].render(current_task) + elapsed = self.columns[5].render(current_task) + remaining = self.columns[7].render(current_task) + speed = self.columns[9].render(current_task) + self.print( + f"{current_task.description} {current_task.percentage:>6.2f}% • " + f"{mofn} • {elapsed} < {remaining} • {speed}" + ) diff --git a/overturemaestro/conftest.py b/overturemaestro/conftest.py new file mode 100644 index 0000000..75479ca --- /dev/null +++ b/overturemaestro/conftest.py @@ -0,0 +1,35 @@ +"""Fixtures for doctests.""" + +import doctest +from doctest import OutputChecker + +import pandas +import pytest + +IGNORE_RESULT = doctest.register_optionflag("IGNORE_RESULT") + + +class CustomOutputChecker(OutputChecker): + """Custom doctest OutputChecker for ignoring logs from functions.""" + + def check_output(self: doctest.OutputChecker, want: str, got: str, optionflags: int) -> bool: + """Skips output checking if IGNORE_RESULT flag is present.""" + if IGNORE_RESULT & optionflags: + return True + return OutputChecker.check_output(self, want, got, optionflags) + + +doctest.OutputChecker = CustomOutputChecker # type: ignore + + +# @pytest.fixture(autouse=True, scope="session") +# def install_spatial_extension(): # type: ignore +# """Install duckdb spatial extension.""" +# duckdb.install_extension("spatial") + + +@pytest.fixture(autouse=True, scope="session") # type: ignore +def pandas_terminal_width() -> None: + """Change pandas dataframe display options.""" + pandas.set_option("display.width", 90) + pandas.set_option("display.max_colwidth", 35) diff --git a/overturemaestro/data_downloader.py b/overturemaestro/data_downloader.py new file mode 100644 index 0000000..7702924 --- /dev/null +++ b/overturemaestro/data_downloader.py @@ -0,0 +1,422 @@ +""" +Data downloader utilities. + +Functions used to download Overture Maps data before local filtering. +""" + +import multiprocessing +from pathlib import Path +from typing import TYPE_CHECKING, Any, Optional, Union, cast + +if TYPE_CHECKING: + from pyarrow.compute import Expression + from shapely.geometry.base import BaseGeometry + +pyarrow_expression = tuple[Any, Any, Any] +pyarrow_filters = Union["Expression", list[pyarrow_expression], list[list[pyarrow_expression]]] + +__all__ = [ + "download_data", + "download_data_for_multiple_types", +] + + +def download_data_for_multiple_types( + release: str, + theme_type_pairs: list[tuple[str, str]], + geometry_filter: "BaseGeometry", + ignore_cache: bool = False, + working_directory: Union[str, Path] = "files", +) -> list[Path]: + """ + Downloads the data for the given release for multiple types. + + Args: + release (str): Release version. + theme_type_pairs (list[tuple[str, str]]): Pairs of themes and types of the dataset. + geometry_filter (BaseGeometry): Geometry used to filter data. + ignore_cache (bool, optional): Whether to ignore precalculated geoparquet files or not. + Defaults to False. + working_directory (Union[str, Path], optional): Directory where to save + the downloaded `*.parquet` files. Defaults to "files". + + Returns: + list[Path]: List of saved Geoparquet files paths. + """ + paths = [] + for theme_value, type_value in theme_type_pairs: + paths.append( + download_data( + release=release, + theme=theme_value, + type=type_value, + geometry_filter=geometry_filter, + ignore_cache=ignore_cache, + working_directory=working_directory, + ) + ) + + return paths + + +def download_data( + release: str, + theme: str, + type: str, + geometry_filter: "BaseGeometry", + pyarrow_filter: Optional[pyarrow_filters] = None, + result_file_path: Optional[Union[str, Path]] = None, + ignore_cache: bool = False, + working_directory: Union[str, Path] = "files", +) -> Path: + """ + Downloads the data for the given release. + + Args: + release (str): Release version. + theme (str): Theme of the dataset. + type (str): Type of the dataset. + geometry_filter (BaseGeometry): Geometry used to filter data. + pyarrow_filter (Optional[pyarrow_filters], optional): Filters to apply on a pyarrow dataset. + Can be pyarrow.compute.Expression or List[Tuple] or List[List[Tuple]]. Defaults to None. + result_file_path (Union[str, Path], optional): Where to save + the geoparquet file. If not provided, will be generated based on hashes + from filters. Defaults to `None`. + ignore_cache (bool, optional): Whether to ignore precalculated geoparquet files or not. + Defaults to False. + working_directory (Union[str, Path], optional): Directory where to save + the downloaded `*.parquet` files. Defaults to "files". + + Returns: + Path: Saved Geoparquet file path. + """ + import tempfile + + working_directory = Path(working_directory) + working_directory.mkdir(parents=True, exist_ok=True) + + if pyarrow_filter is not None: + from pyarrow.parquet import filters_to_expression + + pyarrow_filter = filters_to_expression(pyarrow_filter) + + if result_file_path is None: + result_file_path = working_directory / _generate_result_file_path( + release=release, + theme=theme, + type=type, + geometry_filter=geometry_filter, + pyarrow_filter=pyarrow_filter, + ) + + result_file_path = Path(result_file_path) + + if not result_file_path.exists() or ignore_cache: + with tempfile.TemporaryDirectory( + dir=Path(Path(working_directory)).resolve() + ) as tmp_dir_name: + tmp_dir_path = Path(tmp_dir_name) + _download_data( + release=release, + theme=theme, + type=type, + geometry_filter=geometry_filter, + pyarrow_filter=pyarrow_filter, + result_file_path=result_file_path, + work_directory=tmp_dir_path, + ) + return result_file_path + + +def _download_data( + release: str, + theme: str, + type: str, + geometry_filter: "BaseGeometry", + pyarrow_filter: Optional["Expression"], + result_file_path: Path, + work_directory: Path, +) -> None: + from concurrent.futures import ProcessPoolExecutor + from functools import partial + + import pyarrow.dataset as ds + import pyarrow.parquet as pq + + from overturemaestro._parquet_multiprocessing import map_parquet_dataset + from overturemaestro._rich_progress import TrackProgressBar + from overturemaestro.release_index import load_release_index + + dataset_index = load_release_index(release, theme, type, geometry_filter) + + dataset_index = ( + dataset_index.explode("row_indexes_ranges") + .groupby(["filename", "row_group"])["row_indexes_ranges"] + .apply(list) + .reset_index() + ) + + row_groups_to_download = dataset_index[["filename", "row_group", "row_indexes_ranges"]].to_dict( + orient="records" + ) + + no_cpus = multiprocessing.cpu_count() + min_no_workers = 32 if no_cpus >= 8 else 16 + no_workers = min( + max(min_no_workers, multiprocessing.cpu_count() + 4), 64 + ) # minimum 16 / 32 workers, but not more than 64 + + with TrackProgressBar() as progress: + total_row_groups = len(row_groups_to_download) + with ProcessPoolExecutor(max_workers=min(no_workers, total_row_groups)) as ex: + fn = partial( + _download_single_parquet_row_group_multiprocessing, + bbox=geometry_filter.bounds, + pyarrow_filter=pyarrow_filter, + work_directory=work_directory, + ) + downloaded_parquet_files = list( + progress.track( + ex.map( + fn, + row_groups_to_download, + chunksize=1, + ), + description=f"Downloading parquet files ({theme}/{type})", + total=total_row_groups, + ) + ) + + if not geometry_filter.equals(geometry_filter.envelope): + destination_path = work_directory / Path("intersected_data") + + fn = partial(_filter_data_properly, geometry_filter=geometry_filter) + map_parquet_dataset( + dataset_path=downloaded_parquet_files, + destination_path=destination_path, + function=fn, + progress_description=f"Filtering data by geometry ({theme}/{type})", + report_progress_as_text=False, + ) + + filtered_parquet_files = list(destination_path.glob("*.parquet")) + else: + filtered_parquet_files = downloaded_parquet_files + + final_dataset = ds.dataset(filtered_parquet_files) + + result_file_path.parent.mkdir(exist_ok=True, parents=True) + + with pq.ParquetWriter(result_file_path, final_dataset.schema) as writer: + for batch in final_dataset.to_batches(): + writer.write_batch(batch) + + +def _download_single_parquet_row_group_multiprocessing( + params: dict[str, Any], + bbox: tuple[float, float, float, float], + pyarrow_filter: Optional["Expression"], + work_directory: Path, +) -> Path: + return _download_single_parquet_row_group( + **params, bbox=bbox, pyarrow_filter=pyarrow_filter, work_directory=work_directory + ) + + +def _download_single_parquet_row_group( + filename: str, + row_group: int, + row_indexes_ranges: list[list[int]], + bbox: tuple[float, float, float, float], + pyarrow_filter: Optional["Expression"], + work_directory: Path, +) -> Path: + import pyarrow.compute as pc + import pyarrow.dataset as ds + import pyarrow.fs as fs + from overturemaps.cli import get_writer + from overturemaps.core import geoarrow_schema_adapter + + from overturemaestro._geometry_clustering import decompress_ranges + + row_indexes = decompress_ranges(row_indexes_ranges) + xmin, ymin, xmax, ymax = bbox + bbox_filter = ( + (pc.field("bbox", "xmin") < xmax) + & (pc.field("bbox", "xmax") > xmin) + & (pc.field("bbox", "ymin") < ymax) + & (pc.field("bbox", "ymax") > ymin) + ) + + if pyarrow_filter is not None: + bbox_filter = bbox_filter & pyarrow_filter + + fragment_manual = ds.ParquetFileFormat().make_fragment( + file=filename, + filesystem=fs.S3FileSystem(anonymous=True, region="us-west-2"), + row_groups=[row_group], + ) + geoarrow_schema = geoarrow_schema_adapter(fragment_manual.physical_schema) + + file_path = work_directory / _generate_row_group_file_name( + filename, row_group, row_indexes_ranges, bbox + ) + file_path.parent.mkdir(parents=True, exist_ok=True) + + with get_writer(output_format="geoparquet", path=file_path, schema=geoarrow_schema) as writer: + writer.write_table( + fragment_manual.scanner(schema=geoarrow_schema).take(row_indexes).filter(bbox_filter) + ) + + return file_path + + +def _generate_row_group_file_name( + filename: str, + row_group: int, + row_indexes_ranges: list[list[int]], + bbox: tuple[float, float, float, float], +) -> Path: + import hashlib + + row_indexes_ranges_str = str( + [ + (int(range_pair[0]), int(range_pair[1])) + for range_pair in sorted(row_indexes_ranges, key=lambda x: x[0]) + ] + ) + h = hashlib.new("sha256") + h.update(row_indexes_ranges_str.encode()) + row_indexes_ranges_hash_part = h.hexdigest() + + h = hashlib.new("sha256") + h.update(",".join(str(round(value, 7)) for value in bbox).encode()) + bbox_hash_part = h.hexdigest() + + stripped_filename_part = Path(filename.split("/", 2)[-1]) + stem = stripped_filename_part.stem.split(".")[0] + stem = f"{stem}_{row_group}_{row_indexes_ranges_hash_part[:8]}_{bbox_hash_part[:8]}" + return stripped_filename_part.with_stem(stem) + + +def _filter_data_properly( + parquet_filename: str, + parquet_row_group: int, + pyarrow_table: Any, + geometry_filter: "BaseGeometry", +) -> Any: + import geopandas as gpd + import numpy as np + from geoarrow.rust.core import WKBArray + from shapely import Point, STRtree, get_coordinates + + geoseries = gpd.GeoSeries.from_arrow( + WKBArray.from_arrow(pyarrow_table["geometry"].combine_chunks()) + ) + + # First pass - find all simple examples - any point inside geometry filter + exploded_coords = ( + geoseries.apply(get_coordinates).rename("coords").reset_index().explode("coords") + ) + tree = STRtree(exploded_coords["coords"].apply(Point)) + matching_indexes = ( + exploded_coords["index"].iloc[tree.query(geometry_filter, predicate="intersects")].unique() + ) + + # Second pass - find harder examples - geometries bigger than filter or cross intersecting + non_matching_indexes = np.setdiff1d(exploded_coords["index"].unique(), matching_indexes) + non_matching_geometries = geoseries.iloc[non_matching_indexes].reset_index() + matching_geometries = non_matching_geometries[ + non_matching_geometries.intersects(geometry_filter) + ] + + joined_matching_indexes = np.concat([matching_indexes, matching_geometries["index"]]) + return pyarrow_table.take(joined_matching_indexes) + + +def _generate_result_file_path( + release: str, + theme: str, + type: str, + geometry_filter: "BaseGeometry", + pyarrow_filter: Optional["Expression"], + # keep_all_tags: bool, + # explode_tags: bool, + # filter_osm_ids: list[str], + # save_as_wkt: bool, +) -> Path: + import hashlib + + clipping_geometry_hash_part = _generate_geometry_hash(geometry_filter) + + pyarrow_filter_hash_part = "nofilter" + if pyarrow_filter is not None: + h = hashlib.new("sha256") + h.update(str(pyarrow_filter).encode()) + pyarrow_filter_hash_part = h.hexdigest() + + return ( + Path(release) + / f"theme={theme}" + / f"type={type}" + / f"{clipping_geometry_hash_part}_{pyarrow_filter_hash_part}.parquet" + ) + + +def _generate_geometry_hash(geometry_filter: "BaseGeometry") -> str: + import hashlib + + import shapely.wkt as wktlib + + oriented_geometry = _get_oriented_geometry_filter(geometry_filter) + h = hashlib.new("sha256") + h.update(wktlib.dumps(oriented_geometry).encode()) + clipping_geometry_hash_part = h.hexdigest() + + return clipping_geometry_hash_part + + +def _get_oriented_geometry_filter(geometry_filter: "BaseGeometry") -> "BaseGeometry": + import itertools + + from shapely import LinearRing, Polygon + from shapely.geometry.base import BaseGeometry, BaseMultipartGeometry + + geometry = geometry_filter + + if isinstance(geometry, LinearRing): + # https://stackoverflow.com/a/73073112/7766101 + new_coords = [] + if geometry.is_ccw: + perimeter = list(geometry.coords) + else: + perimeter = list(geometry.coords)[::-1] + smallest_point = sorted(perimeter)[0] + double_iteration = itertools.chain(perimeter[:-1], perimeter) + for point in double_iteration: + if point == smallest_point: + new_coords.append((round(point[0], 7), round(point[1], 7))) + while len(new_coords) < len(perimeter): + next_point = next(double_iteration) + new_coords.append((round(next_point[0], 7), round(next_point[1], 7))) + break + return LinearRing(new_coords) + if isinstance(geometry, Polygon): + oriented_exterior = _get_oriented_geometry_filter(geometry.exterior) + oriented_interiors = [ + cast(BaseGeometry, _get_oriented_geometry_filter(interior)) + for interior in geometry.interiors + ] + return Polygon( + oriented_exterior, + sorted(oriented_interiors, key=lambda geom: (geom.centroid.x, geom.centroid.y)), + ) + elif isinstance(geometry, BaseMultipartGeometry): + oriented_geoms = [ + cast(BaseGeometry, _get_oriented_geometry_filter(geom)) for geom in geometry.geoms + ] + return geometry.__class__( + sorted(oriented_geoms, key=lambda geom: (geom.centroid.x, geom.centroid.y)) + ) + + return geometry diff --git a/overturemaestro/functions.py b/overturemaestro/functions.py new file mode 100644 index 0000000..156acab --- /dev/null +++ b/overturemaestro/functions.py @@ -0,0 +1,297 @@ +""" +Functions. + +This module contains helper functions to simplify the usage. +""" + +from pathlib import Path +from typing import Optional, Union + +import geopandas as gpd +from shapely.geometry.base import BaseGeometry + +from overturemaestro.data_downloader import ( + download_data, + download_data_for_multiple_types, + pyarrow_filters, +) + +__all__ = [ + "convert_geometry_to_parquet", + "convert_geometry_to_parquet_for_multiple_types", + "convert_geometry_to_geodataframe", + "convert_geometry_to_geodataframe_for_multiple_types", +] + +# TODO: add verbosity_mode, debug_memory, debug_times +# TODO: prepare examples + + +def convert_geometry_to_parquet( + release: str, + theme: str, + type: str, + geometry_filter: BaseGeometry, + pyarrow_filter: Optional[pyarrow_filters] = None, + result_file_path: Optional[Union[str, Path]] = None, + ignore_cache: bool = False, + working_directory: Union[str, Path] = "files", +) -> Path: + """ + Get a GeoParquet file with Overture Maps data within given geometry. + + Automatically downloads Overture Maps dataset for a given release and theme/type + in a concurrent manner and returns a single file as a result. + + Args: + release (str): Release version. + theme (str): Theme of the dataset. + type (str): Type of the dataset. + geometry_filter (BaseGeometry): Geometry used to filter data. + pyarrow_filter (Optional[pyarrow_filters], optional): Filters to apply on a pyarrow dataset. + Can be pyarrow.compute.Expression or List[Tuple] or List[List[Tuple]]. Defaults to None. + result_file_path (Union[str, Path], optional): Where to save + the geoparquet file. If not provided, will be generated based on hashes + from filters. Defaults to `None`. + ignore_cache (bool, optional): Whether to ignore precalculated geoparquet files or not. + Defaults to False. + working_directory (Union[str, Path], optional): Directory where to save + the downloaded `*.parquet` files. Defaults to "files". + + Returns: + Path: Path to the generated GeoParquet file. + + Examples: + Get buildings in the center of London. + + >>> import overturemaestro as om + >>> from shapely import box + >>> london_bbox = box(-0.120077, 51.498164, -0.090809, 51.508849) + >>> gpq_path = om.convert_geometry_to_parquet( + ... release="2024-08-20.0", + ... theme="buildings", + ... type="building", + ... geometry_filter=london_bbox, + ... ) # doctest: +IGNORE_RESULT + >>> gpq_path.as_posix() + 'files/2024-08-20.0/theme=buildings/type=building/7ed1...3f41_nofilter.parquet' + + Inspect the content + >>> import geopandas as gpd + >>> gdf = gpd.read_parquet(gpq_path) + >>> len(gdf) + 1863 + >>> list(gdf.columns) + ['id', 'geometry', 'bbox', 'version', 'sources', 'subtype', 'class', 'names', 'level', + 'has_parts', 'height', 'is_underground', 'num_floors', 'num_floors_underground', + 'min_height', 'min_floor', 'facade_color', 'facade_material', 'roof_material', 'roof_shape', + 'roof_direction', 'roof_orientation', 'roof_color', 'roof_height', 'theme', 'type'] + + Download museums in the same area from places dataset with a filter. + + >>> gpq_path = om.convert_geometry_to_parquet( + ... release="2024-08-20.0", + ... theme="places", + ... type="place", + ... geometry_filter=london_bbox, + ... pyarrow_filter=[[ + ... (("categories", "primary"), "=", "museum"), + ... ("confidence", ">", 0.95), + ... ]], + ... ) # doctest: +IGNORE_RESULT + >>> gdf = gpd.read_parquet(gpq_path) + >>> len(gdf) + 5 + >>> gdf[["id", "names", "confidence"]] # doctest: +IGNORE_RESULT + id names confidence + 0 08f194ad1499c8b1038ff3e213d81456 {'primary': 'Florence Nightinga... 0.982253 + 1 08f194ad149044c6037575af3681766f {'primary': 'Philip Simpson Des... 0.969941 + 2 08f194ad32a0d494030fdddc1b405fb1 {'primary': 'Shakespeare's Glob... 0.991993 + 3 08f194ad30695784036410e184708927 {'primary': 'Clink Street Londo... 0.965185 + 4 08f194ad30690a42034312e00c0254a2 {'primary': 'The Clink Prison M... 0.982253 + """ + return download_data( + release=release, + theme=theme, + type=type, + geometry_filter=geometry_filter, + pyarrow_filter=pyarrow_filter, + result_file_path=result_file_path, + ignore_cache=ignore_cache, + working_directory=working_directory, + ) + + +def convert_geometry_to_parquet_for_multiple_types( + release: str, + theme_type_pairs: list[tuple[str, str]], + geometry_filter: BaseGeometry, + ignore_cache: bool = False, + working_directory: Union[str, Path] = "files", +) -> list[Path]: + """ + Get GeoParquet files with Overture Maps data within given geometry for multiple types. + + Automatically downloads Overture Maps dataset for a given release and theme/type pairs + in a concurrent manner and returns a list of files as a result. + + Order of paths is the same as the input theme_type_pairs list. + + Args: + release (str): Release version. + theme_type_pairs (list[tuple[str, str]]): Pairs of themes and types of the dataset. + geometry_filter (BaseGeometry): Geometry used to filter data. + pyarrow_filter (Optional[pyarrow_filters], optional): Filters to apply on a pyarrow dataset. + Can be pyarrow.compute.Expression or List[Tuple] or List[List[Tuple]]. Defaults to None. + result_file_path (Union[str, Path], optional): Where to save + the geoparquet file. If not provided, will be generated based on hashes + from filters. Defaults to `None`. + ignore_cache (bool, optional): Whether to ignore precalculated geoparquet files or not. + Defaults to False. + working_directory (Union[str, Path], optional): Directory where to save + the downloaded `*.parquet` files. Defaults to "files". + + Returns: + list[Path]: List of paths to the generated GeoParquet files. + """ + return download_data_for_multiple_types( + release=release, + theme_type_pairs=theme_type_pairs, + geometry_filter=geometry_filter, + ignore_cache=ignore_cache, + working_directory=working_directory, + ) + + +def convert_geometry_to_geodataframe( + release: str, + theme: str, + type: str, + geometry_filter: BaseGeometry, + pyarrow_filter: Optional[pyarrow_filters] = None, + ignore_cache: bool = False, + working_directory: Union[str, Path] = "files", +) -> gpd.GeoDataFrame: + """ + Get a GeoDataFrame with Overture Maps data within given geometry. + + Automatically downloads Overture Maps dataset for a given release and theme/type + in a concurrent manner and returns a single GeoDataFrame as a result. + + Args: + release (str): Release version. + theme (str): Theme of the dataset. + type (str): Type of the dataset. + geometry_filter (BaseGeometry): Geometry used to filter data. + pyarrow_filter (Optional[pyarrow_filters], optional): Filters to apply on a pyarrow dataset. + Can be pyarrow.compute.Expression or List[Tuple] or List[List[Tuple]]. Defaults to None. + ignore_cache (bool, optional): Whether to ignore precalculated geoparquet files or not. + Defaults to False. + working_directory (Union[str, Path], optional): Directory where to save + the downloaded `*.parquet` files. Defaults to "files". + + Returns: + gpd.GeoDataFrame: GeoDataFrame with Overture Maps features. + + Examples: + Get buildings in the center of London. + + >>> import overturemaestro as om + >>> from shapely import box + >>> london_bbox = box(-0.120077, 51.498164, -0.090809, 51.508849) + >>> gdf = om.convert_geometry_to_geodataframe( + ... release="2024-08-20.0", + ... theme="buildings", + ... type="building", + ... geometry_filter=london_bbox, + ... ) # doctest: +IGNORE_RESULT + >>> gdf[['names', 'subtype']].sort_index() + names subtype + id + 08b194ad14804fff0200fea269f9879c {'primary': 'Park Plaza London ... None + 08b194ad14812fff02006b5f7b4749e1 None None + 08b194ad14814fff02002e44dac80f43 {'primary': 'The Barn', 'common... agricultural + 08b194ad14814fff0200c77856a66cd7 None None + 08b194ad14814fff0200dbc14b9a6d57 None None + ... ... ... + 08b194ad33db2fff02006a3ce00700f9 {'primary': 'citizenM hotel Lon... None + 08b194ad33db3fff02008b05d22745ed {'primary': 'Metal Box Factory'... None + 08b194ad33db4fff0200cb2043a25c3c None commercial + 08b194ad33db4fff0200f2ead15d53ac None residential + 08b194ad33db5fff02005eaafd2ff033 {'primary': 'Cooper & Southwark... commercial + + [1863 rows x 2 columns] + + Download museums in the same area from places dataset with a filter. + + >>> gdf = om.convert_geometry_to_geodataframe( + ... release="2024-08-20.0", + ... theme="places", + ... type="place", + ... geometry_filter=london_bbox, + ... pyarrow_filter=[[ + ... (("categories", "primary"), "=", "museum"), + ... ("confidence", ">", 0.95), + ... ]], + ... ) # doctest: +IGNORE_RESULT + >>> gdf[["names", "confidence"]] + names confidence + id + 08f194ad149044c6037575af3681766f {'primary': 'Philip Simpson Des... 0.969941 + 08f194ad1499c8b1038ff3e213d81456 {'primary': 'Florence Nightinga... 0.982253 + 08f194ad30690a42034312e00c0254a2 {'primary': 'The Clink Prison M... 0.982253 + 08f194ad30695784036410e184708927 {'primary': 'Clink Street Londo... 0.965185 + 08f194ad32a0d494030fdddc1b405fb1 {'primary': 'Shakespeare's Glob... 0.991993 + """ + parsed_geoparquet_file = download_data( + release=release, + theme=theme, + type=type, + geometry_filter=geometry_filter, + pyarrow_filter=pyarrow_filter, + ignore_cache=ignore_cache, + working_directory=working_directory, + ) + return gpd.read_parquet(parsed_geoparquet_file).set_index("id") + + +def convert_geometry_to_geodataframe_for_multiple_types( + release: str, + theme_type_pairs: list[tuple[str, str]], + geometry_filter: BaseGeometry, + ignore_cache: bool = False, + working_directory: Union[str, Path] = "files", +) -> list[gpd.GeoDataFrame]: + """ + Get GeoDataFrames list with Overture Maps data within given geometry for multiple types. + + Automatically downloads Overture Maps dataset for a given release and theme/type pairs + in a concurrent manner and returns a list of GeoDataFrames as a result. + + Order of GeoDataFrames is the same as the input theme_type_pairs list. + + Args: + release (str): Release version. + theme_type_pairs (list[tuple[str, str]]): Pairs of themes and types of the dataset. + geometry_filter (BaseGeometry): Geometry used to filter data. + pyarrow_filter (Optional[pyarrow_filters], optional): Filters to apply on a pyarrow dataset. + Can be pyarrow.compute.Expression or List[Tuple] or List[List[Tuple]]. Defaults to None. + ignore_cache (bool, optional): Whether to ignore precalculated geoparquet files or not. + Defaults to False. + working_directory (Union[str, Path], optional): Directory where to save + the downloaded `*.parquet` files. Defaults to "files". + + Returns: + list[gpd.GeoDataFrame]: List of GeoDataFrames with Overture Maps features. + """ + parsed_geoparquet_files = download_data_for_multiple_types( + release=release, + theme_type_pairs=theme_type_pairs, + geometry_filter=geometry_filter, + ignore_cache=ignore_cache, + working_directory=working_directory, + ) + return [ + gpd.read_parquet(parsed_geoparquet_file).set_index("id") + for parsed_geoparquet_file in parsed_geoparquet_files + ] diff --git a/overturemaestro/release_index.py b/overturemaestro/release_index.py new file mode 100644 index 0000000..7048a03 --- /dev/null +++ b/overturemaestro/release_index.py @@ -0,0 +1,384 @@ +""" +Release index cache utilities. + +Functions used to load cached release index, download it from a dedicated repository or to generate +it on demand. +""" + +import json +import tempfile +import urllib.error +import urllib.request +from pathlib import Path +from typing import Optional, Union + +import fsspec.implementations.http +import geopandas as gpd +import numpy as np +import pandas as pd +import pyarrow.fs as fs +from pooch import file_hash, retrieve +from pooch import get_logger as get_pooch_logger +from rich import print as rprint +from shapely import box +from shapely.geometry.base import BaseGeometry + +from overturemaestro._geometry_clustering import calculate_row_group_bounding_box +from overturemaestro._parquet_multiprocessing import map_parquet_dataset +from overturemaestro._rich_progress import TrackProgressBar + +__all__ = [ + "download_existing_release_index", + "generate_release_index", + "get_available_theme_type_pairs", + "load_release_index", + "load_release_indexes", +] + +# This is the release with bbox with proper naming convention +MINIMAL_SUPPORTED_RELEASE_VERSION = "2024-04-16-beta.0" + +# Dedicated GitHub repository with precalculated indexes +LFS_DIRECTORY_URL = ( + "https://raw.githubusercontent.com/kraina-ai/overturemaps-releases-indexes/main/" +) + + +class ReleaseVersionNotSupportedError(ValueError): ... # noqa: D101 + + +def load_release_indexes( + release: str, + theme_type_pairs: list[tuple[str, str]], + geometry_filter: Optional[BaseGeometry] = None, + remote_index: bool = False, +) -> gpd.GeoDataFrame: + """ + Load multiple release indexes as a GeoDataFrame. + + Args: + release (str): Release version. + theme_type_pairs (list[tuple[str, str]]): Pairs of themes and types of the dataset. + geometry_filter (Optional[BaseGeometry], optional): Geometry to pre-filter resulting rows. + Defaults to None. + remote_index (bool, optional): Avoid downloading the index and stream it from remote source. + Defaults to False. + + Returns: + gpd.GeoDataFrame: Index with bounding boxes for each row group for each parquet file. + """ + return gpd.pd.concat( + load_release_index(release, theme_value, type_value, geometry_filter, remote_index) + for theme_value, type_value in theme_type_pairs + ) + + +def load_release_index( + release: str, + theme: str, + type: str, + geometry_filter: Optional[BaseGeometry] = None, + remote_index: bool = False, +) -> gpd.GeoDataFrame: + """ + Load release index as a GeoDataFrame. + + Args: + release (str): Release version. + theme (str): Theme of the dataset. + type (str): Type of the dataset. + geometry_filter (Optional[BaseGeometry], optional): Geometry to pre-filter resulting rows. + Defaults to None. + remote_index (bool, optional): Avoid downloading the index and stream it from remote source. + Defaults to False. + + Returns: + gpd.GeoDataFrame: Index with bounding boxes for each row group for each parquet file. + """ + _check_release_version(release) + cache_directory = _get_release_cache_directory(release) + index_file_path: Union[Path, str] = cache_directory / _get_index_file_name(theme, type) + + file_exists = Path(index_file_path).exists() + filesystem = None + + if not file_exists: + if remote_index: + filesystem = fsspec.implementations.http.HTTPFileSystem() + index_file_path = LFS_DIRECTORY_URL + str(index_file_path) + else: + # Download or generate the index if cannot be downloaded + download_existing_release_index(release) or generate_release_index(release) + + if geometry_filter is None: + return gpd.read_parquet(path=index_file_path, filesystem=filesystem) + + xmin, ymin, xmax, ymax = geometry_filter.bounds + + df = gpd.read_parquet( + path=index_file_path, bbox=(xmin, ymin, xmax, ymax), filesystem=filesystem + ) + df = df[df.intersects(geometry_filter)] + return df + + +def get_available_theme_type_pairs(release: str) -> list[tuple[str, str]]: + """ + Get a list of available theme and type objects for a given release. + + Args: + release (str): Release version. + + Returns: + list[tuple[str, str]]: List of theme and type pairs. + """ + _check_release_version(release) + + cache_directory = _get_release_cache_directory(release) + release_index_path = cache_directory / "release_index_content.json" + if not release_index_path.exists(): + raise FileNotFoundError( + f"Index for release {release} isn't cached locally. " + "Please download or generate the index first using " + "download_existing_release_index or generate_release_index function." + ) + theme_type_tuples = json.loads(release_index_path.read_text()) + return sorted( + (theme_type_tuple["theme"], theme_type_tuple["type"]) + for theme_type_tuple in theme_type_tuples + ) + + +def download_existing_release_index(release: str) -> bool: + """ + Download a pregenerated index for an Overture Maps dataset release. + + Args: + release (str): Release version. + + Returns: + bool: Information whether index have been downloaded or not. + """ + return _download_existing_release_index(release=release) + + +def _download_existing_release_index( + release: str, theme: Optional[str] = None, type: Optional[str] = None +) -> bool: + """ + Download a pregenerated index for an Overture Maps dataset release. + + Args: + release (str): Release version. + theme (Optional[str], optional): Specify a theme to be downloaded. Defaults to None. + type (Optional[str], optional): Specify a type to be downloaded. Defaults to None. + + Returns: + bool: Information whether index have been downloaded or not. + """ + _check_release_version(release) + if (theme is None and type is not None) or (theme is not None and type is None): + raise ValueError("Theme and type both have to be present or None.") + + cache_directory = _get_release_cache_directory(release) + + logger = get_pooch_logger() + logger.setLevel("WARNING") + + try: + index_content_file_name = "release_index_content.json" + index_content_file_url = LFS_DIRECTORY_URL + str(cache_directory / index_content_file_name) + retrieve( + index_content_file_url, + fname=index_content_file_name, + path=cache_directory, + progressbar=False, + known_hash=None, + ) + rprint("Downloaded index metadata file") + + theme_type_tuples = json.loads((cache_directory / index_content_file_name).read_text()) + + with TrackProgressBar() as progress: + for theme_type_tuple in progress.track( + theme_type_tuples, + description="Downloading release indexes", + ): + theme_value = theme_type_tuple["theme"] + type_value = theme_type_tuple["type"] + sha_value = theme_type_tuple["sha"] + file_name = _get_index_file_name(theme_value, type_value) + + if theme_value == theme and type_value == type: + continue + + index_file_url = LFS_DIRECTORY_URL + str(cache_directory / file_name) + retrieve( + index_file_url, + fname=file_name, + path=cache_directory, + progressbar=False, + known_hash=sha_value, + ) + rprint(f"Downloaded index file {release}/{file_name}") + + except urllib.error.HTTPError as ex: + if ex.code == 404: + return False + + raise + + return True + + +def generate_release_index(release: str) -> bool: + """ + Generate an index for an Overture Maps dataset release. + + Args: + release (str): Release version. + + Returns: + bool: Information whether index have been generated or not. + """ + return _generate_release_index(release=release) + + +def _generate_release_index( + release: str, theme: Optional[str] = None, type: Optional[str] = None +) -> bool: + """ + Generate an index for an Overture Maps dataset release. + + Args: + release (str): Release version. + theme (Optional[str], optional): Specify a theme to be generated. Defaults to None. + type (Optional[str], optional): Specify a type to be generated. Defaults to None. + + Returns: + bool: Information whether index have been generated or not. + """ + _check_release_version(release) + if (theme is None and type is not None) or (theme is not None and type is None): + raise ValueError("Theme and type both have to be present or None.") + + cache_directory = _get_release_cache_directory(release) + release_index_path = cache_directory / "release_index_content.json" + if theme is not None and type is not None: + release_index_path = cache_directory / f"release_index_content_{theme}_{type}.json" + + if release_index_path.exists(): + rprint("Cache exists. Skipping generation.") + return False + + cache_directory.mkdir(exist_ok=True, parents=True) + + with tempfile.TemporaryDirectory(dir=Path(".").resolve()) as tmp_dir_name: + tmp_dir_path = Path(tmp_dir_name) + bounding_boxes_path = tmp_dir_path / "overture_bounding_boxes" + + dataset_path = f"overturemaps-us-west-2/release/{release}" + if theme is not None and type is not None: + dataset_path += f"/theme={theme}/type={type}" + + map_parquet_dataset( + dataset_path=dataset_path, + destination_path=bounding_boxes_path, + function=calculate_row_group_bounding_box, + progress_description="Generating Overture Maps release cache index", + columns=["bbox"], + filesystem=fs.S3FileSystem( + anonymous=True, region="us-west-2", request_timeout=30, connect_timeout=10 + ), + ) + + df = pd.read_parquet(bounding_boxes_path) + df["split_filename"] = df["filename"].str.split("/") + df["theme"] = df["split_filename"].apply(lambda x: x[3].split("=")[1]) + df["type"] = df["split_filename"].apply(lambda x: x[4].split("=")[1]) + df = gpd.GeoDataFrame( + df, + geometry=np.apply_along_axis( + lambda row: box(*row), 1, df[["xmin", "ymin", "xmax", "ymax"]].to_numpy() + ), + crs=4326, + ) + + with TrackProgressBar() as progress: + theme_type_tuples = df[["theme", "type"]].drop_duplicates().reset_index(drop=True) + file_hashes = [] + for value_tuple in progress.track( + theme_type_tuples.to_dict(orient="records"), + description="Saving geoparquet indexes", + ): + theme_value = value_tuple["theme"] + type_value = value_tuple["type"] + file_name = _get_index_file_name(theme_value, type_value) + + df_subset = df[ + (df["theme"] == theme_value) & (df["type"] == type_value) + ].sort_values(["filename", "row_group"]) + cache_file_path = cache_directory / file_name + + df_subset[ + [ + "filename", + "row_group", + "row_indexes_ranges", + "geometry", + ] + ].to_parquet( + cache_file_path, + geometry_encoding="geoarrow", + schema_version="1.1.0", + write_covering_bbox=True, + ) + file_hashes.append(file_hash(str(cache_file_path))) + rprint(f"Saved index file {cache_file_path}") + + theme_type_tuples["sha"] = pd.Series(file_hashes) + theme_type_tuples.to_json(release_index_path, orient="records") + + return True + + +def _check_release_version(release: str) -> None: + if release < MINIMAL_SUPPORTED_RELEASE_VERSION: + raise ReleaseVersionNotSupportedError( + f"Release version {release} is not supported." + f" Minimal supported version is {MINIMAL_SUPPORTED_RELEASE_VERSION}." + ) + + +def _get_release_cache_directory(release: str) -> Path: + return Path(f"release_indexes/{release}") + + +def _get_index_file_name(theme_value: str, type_value: str) -> str: + return f"{theme_value}_{type_value}.parquet" + + +def _consolidate_release_index_files(release: str, remove_other_files: bool = False) -> bool: + _check_release_version(release) + + cache_directory = _get_release_cache_directory(release) + release_index_path = cache_directory / "release_index_content.json" + if release_index_path.exists(): + rprint("Cache exists. 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"README.md" +license = {text = "Apache-2.0"} +classifiers = [ + "Development Status :: 3 - Alpha", + "License :: OSI Approved :: Apache Software License", + "Topic :: Scientific/Engineering :: Artificial Intelligence", + "Topic :: Scientific/Engineering :: GIS", + "Intended Audience :: Science/Research", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Operating System :: Unix", + "Operating System :: MacOS", + "Operating System :: Microsoft :: Windows", +] + +# [project.optional-dependencies] +# cli = [ +# "typer[all]>=0.9.0", +# "h3>=4.0.0b1", +# "s2>=0.1.9", +# "python-geohash>=0.8", +# "geopy>=2.0.0", +# ] + +# [project.scripts] +# overturemaestro = "overturemaestro.__main__:main" +# OvertureMaestro = "overturemaestro.__main__:main" + +[build-system] +requires = ["pdm-backend"] 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