{ "info": { "author": "UNKNOWN", "author_email": "UNKNOWN", "bugtrack_url": null, "classifiers": [], "description": "KrateLabs\n=========\n\nKrate Labs **designs and fabricates** illuminated laser etched displays.\nThe innovative design allows only light to pass through the etched\nartwork, creating a unique and contemporary design. The contrasting\ncolours from the background, the etching and the high grade plexiglass\nallow the map to stand out as a very distinct art piece for your home or\nbusiness.\n\nThe lasering process allows us to etch the most intricate details with\nextreme precision, creating a very unique and detailed image of any\nlocation in the entire world.\n\nOur contemporary designs highlights the cartography as the focal point\nas we fuse and blend the natural and urban landscapes into a design that\nwe highlight with light itself. This allows the piece to stand out and\nlight a room with a natural glow that can create an ambience or\ncompliment an existing decor.\n\nWhether you wish to preserve cityscapes or familiar places, Krate Labs\nis here to provide meaningful art purchases by allowing each user to\nchoose a location that is meaningful to them. Simply choose from a\nvariety of templates that we currently have, or send a custom request,\nwe\u2019re here to help you create your customized art piece for your home or\nbusiness.\n\nInstall\n-------\n\n**Simple Setup**\n\n.. code:: bash\n\n $ git clone git@github.com:KrateLabs/KrateLabs.git\n $ cd KrateLabs\n $ make\n $ kratelabs --location \"CN Tower, Toronto\" --zoom 12\n\n [OK] Geocoded: CN Tower, Toronto, ON M5V, Canada [43.6425657, -79.38705569999999]\n [OK] Created: CN Tower, Toronto.png\n [OK] Created: CN Tower, Toronto.svg\n\n**Using Docker**\n\n.. code:: bash\n\n $ docker build -t kratelabs .\n $ docker run -it --rm -v $(pwd):/data kratelabs --location \"CN Tower, Toronto\" --zoom 12\n\nCommand Line Interface\n----------------------\n\n.. code:: bash\n\n $ kratelabs --help\n\n::\n\n Usage: kratelabs [OPTIONS]\n\n Command Line Interface.\n\n Options:\n --filename TEXT Filename output to SVG\n --lat FLOAT latitude for the center point of the static map;\n number between -90 and 90\n --lng FLOAT longitude for the center point of the static map;\n number between -180 and 180\n --location TEXT Geographical Location based on Google Maps\n --zoom FLOAT zoom level; number between 0 and 22 . Fractional\n zoom levels will be rounded to two decimal places.\n --width INTEGER RANGE width of the image in pixels\n --height INTEGER RANGE height of the image in pixels\n --style TEXT mapbox://styles/{username}/{style_id}\n --access_token TEXT Mapbox access token\n --bearing FLOAT Rotates the map around its center. Number between 0\n and 360.\n --pitch FLOAT Tilts the map, producing a perspective effect.\n Number between 0 and 60.\n --retina [boolean] If @2x is added to request a retina 2x\n image will be returned\n --attribution [boolean] Value controlling whether there is\n attribution on the image; defaults to false\n --logo [boolean] Value controlling whether there is a\n Mapbox logo on the image; defaults to false\n --upload [boolean] Upload to AWS S3\n --delete [boolean] Delete PNG\n --help Show this message and exit.\n\nMapbox Styles\n~~~~~~~~~~~~~\n\n**All Features**\n\n- mapbox://styles/addxy/cim6u5lfi00k2cwm23exyzjim\n\n**Roads Only**\n\n- mapbox://styles/addxy/cim6u8zc300om9jm05ku5zurt\n\n**Water Only**\n\n- mapbox://styles/addxy/cim6u6b7t001l9klzpio0dhaa\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "UNKNOWN", "keywords": null, "license": "UNKNOWN", "maintainer": null, "maintainer_email": null, "name": "kratelabs", "package_url": "https://pypi.org/project/kratelabs/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/kratelabs/", "project_urls": { "Download": "UNKNOWN", "Homepage": "UNKNOWN" }, "release_url": "https://pypi.org/project/kratelabs/0.2.1/", "requires_dist": null, "requires_python": null, "summary": "Kratelab's helpful scripts for MapboxGL maps.", "version": "0.2.1" }, "last_serial": 2147588, "releases": { "0.2.0": [ { "comment_text": "", "digests": { "md5": "5a3281dd8a5f8970466bc26b3c869082", "sha256": "8823d6693f3374c23f08877d1a74a1ae12fb5584db8fedff7bb2b5b055380fef" }, "downloads": -1, "filename": "kratelabs-0.2.0-py2-none-any.whl", "has_sig": false, "md5_digest": "5a3281dd8a5f8970466bc26b3c869082", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 11108, "upload_time": "2016-06-02T19:13:10", "url": "https://files.pythonhosted.org/packages/40/15/6fd3807edf1305b597aecc4fe7362b7ade17f5b7bd1359e55d8dd420c7bf/kratelabs-0.2.0-py2-none-any.whl" }, { "comment_text": "", "digests": { "md5": "2d76bf10797c8bf669c2e63516590d64", "sha256": "ea1fbae8382950227f20d49e73d5815d73bfae47abf8c7a92b0c130a93bd79d9" }, "downloads": -1, "filename": "kratelabs-0.2.0.tar.gz", "has_sig": false, "md5_digest": "2d76bf10797c8bf669c2e63516590d64", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4738, "upload_time": "2016-06-02T19:13:05", "url": "https://files.pythonhosted.org/packages/55/82/e9dcfc62b250da8bf556abf914438812a535bf2ee58ed616b91ee91032a0/kratelabs-0.2.0.tar.gz" } ], "0.2.1": [ { "comment_text": "", "digests": { "md5": "fc8d793b7f10ae53bf5ac29c17e220c0", "sha256": "33054baa913e5c2e833b922cea12f02fbb799d5e3650f3b93d547fb7233a55cb" }, "downloads": -1, "filename": "kratelabs-0.2.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "fc8d793b7f10ae53bf5ac29c17e220c0", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 11127, "upload_time": "2016-06-02T19:18:11", "url": "https://files.pythonhosted.org/packages/59/50/12c14676eed4ed23c65723b6e3b84d510541765d8038ceddd045c1414b45/kratelabs-0.2.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "9acc27f8558bde38a5de1aef8e1d2b63", "sha256": "1f195d67e0757e5f3760d491aa865f976c881c5660d96355d18d9901a40a1959" }, "downloads": -1, "filename": "kratelabs-0.2.1.tar.gz", "has_sig": false, "md5_digest": "9acc27f8558bde38a5de1aef8e1d2b63", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4906, "upload_time": "2016-06-02T19:18:06", "url": "https://files.pythonhosted.org/packages/ff/0a/ca3ceb8f536fe956f6e8ff51491f1aec13f87831a70acce55f15faa61e75/kratelabs-0.2.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "fc8d793b7f10ae53bf5ac29c17e220c0", "sha256": "33054baa913e5c2e833b922cea12f02fbb799d5e3650f3b93d547fb7233a55cb" }, "downloads": -1, "filename": "kratelabs-0.2.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "fc8d793b7f10ae53bf5ac29c17e220c0", "packagetype": "bdist_wheel", "python_version": "2.7", "requires_python": null, "size": 11127, "upload_time": "2016-06-02T19:18:11", "url": "https://files.pythonhosted.org/packages/59/50/12c14676eed4ed23c65723b6e3b84d510541765d8038ceddd045c1414b45/kratelabs-0.2.1-py2.py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "9acc27f8558bde38a5de1aef8e1d2b63", "sha256": "1f195d67e0757e5f3760d491aa865f976c881c5660d96355d18d9901a40a1959" }, "downloads": -1, "filename": "kratelabs-0.2.1.tar.gz", "has_sig": false, "md5_digest": "9acc27f8558bde38a5de1aef8e1d2b63", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 4906, "upload_time": "2016-06-02T19:18:06", "url": "https://files.pythonhosted.org/packages/ff/0a/ca3ceb8f536fe956f6e8ff51491f1aec13f87831a70acce55f15faa61e75/kratelabs-0.2.1.tar.gz" } ] }