From 7cc88ceae7d36ac32c9e2935fbc2d81ed2792e8f Mon Sep 17 00:00:00 2001 From: Anne Fouilloux Date: Tue, 25 Jun 2024 20:27:02 +0200 Subject: [PATCH] add example with minIO --- docs/_toc.yml | 7 +- docs/images/minIO_keys.png | Bin 0 -> 142809 bytes docs/setup/object-storage-minio-test.ipynb | 385 -- docs/storage/minio-object-storage.ipynb | 4564 ++++++++++++++++++++ docs/storage/setup-object-storage.md | 12 + 5 files changed, 4582 insertions(+), 386 deletions(-) create mode 100644 docs/images/minIO_keys.png delete mode 100644 docs/setup/object-storage-minio-test.ipynb create mode 100644 docs/storage/minio-object-storage.ipynb create mode 100644 docs/storage/setup-object-storage.md diff --git a/docs/_toc.yml b/docs/_toc.yml index 3e2f353..80a62db 100644 --- a/docs/_toc.yml +++ b/docs/_toc.yml @@ -20,9 +20,14 @@ parts: title: Chunking - file: pangeo/dask_introduction title: Parallel computing with dask + - caption: Creating ARCO + chapters: + - file: storage/setup-object-storage + title: Create Minio Access Keys + - file: storage/minio-object-storage + title: Using personal online storage - caption: Beyond the workshop chapters: - - file: setup/object-storage-minio-test - file: afterword/resources title: Resources - file: afterword/pythia diff --git a/docs/images/minIO_keys.png b/docs/images/minIO_keys.png new file mode 100644 index 0000000000000000000000000000000000000000..9b61b50fc4610f72b8ceb64dd2cf201236b21b81 GIT binary patch literal 142809 zcmbrmbzD^K_XVnSryz|YB`MO~7=(y)3J45c4mE`2AP7h+IU^#{F(VyPA~^$+L-)|# z;XS^-@Av-h-}l3OhR>WioO<@N_S$Q&hqt;qkH|@wNN(J?LH^{in%<2YxZiKwz+oZ6 z0k%{t>I&Sr@#e-8HD!H2%grXJ(XEN&mY|*NkJ|)fAKqu>y}~Miyatjuc}aM=-+iFf zc=zGKYBcYcZ_OtszngXn1`5qbv_<<^JpvS+pOvn!$HXoCf*en*TK#5Mro#K@rEnm8 zMG$s}=%1IIDvtKQ+YjF0W&FE!{8aZ`C z;rs3`(V`FgJr0hC5)y8A6W&l#@reBSQx`3*&2k9t=|*_&oXR!*;yC`yjo`57&j)|h z1d>fDy?))N;&$VtWtaK%R|x4T`5YOr{T;9m4s?+XI0f0Y!^^vpZ%`qjl5Z5%NgHow zwbo8|eYaA*lsEmUsNskA&*wSGms8u2IkHoWS5w=zb7Q9}6qF{rjHilSryH*Vd%M0X 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np\n", - "import dask.array as da\n", - "import xarray as xr\n", - "from dask.utils import parse_bytes\n", - "import math\n", - "import pandas as pd\n", - "import dask\n", - "import os" - ] - }, - { - "cell_type": "markdown", - "id": "833332ac-c23f-4b48-8e91-12ad1b2b9917", - "metadata": {}, - "source": [ - "# Simple MinIO access with s3fs" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a2ddfe89-cedc-4db4-8d27-a59a3cc71315", - "metadata": {}, - "outputs": [], - "source": [ - "#!aws configure set aws_access_key_id xxx\n", - "#!aws configure set aws_secret_access_key yyy" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c660357b-4cff-4f07-8f01-7bcd743bea6f", - "metadata": {}, - "outputs": [], - "source": [ - "access_key = !aws configure get aws_access_key_id\n", - "access_key = access_key[0]\n", - "secret_key = !aws configure get aws_secret_access_key\n", - "secret_key = secret_key[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3f938612-2a10-48f0-97ef-f6ce5d14f8a2", - "metadata": {}, - "outputs": [], - "source": [ - "client_kwargs={'endpoint_url': 'https://pangeo-eosc-minioapi.vm.fedcloud.eu/'}\n", - "\n", - "#s3 = s3fs.S3FileSystem(anon=False, client_kwargs=client_kwargs) # Works only when using s3 in this Notebook, not with distributed.\n", - "s3 = s3fs.S3FileSystem(key=access_key, secret=secret_key, client_kwargs=client_kwargs)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "03b164e0-eef5-4843-b614-2ee98db610cd", - "metadata": {}, - "outputs": [], - "source": [ - "s3_prefix = os.environ['JUPYTERHUB_USER']\n", - "# s3_suffix below is what you need to customise to create your own buckets:\n", - "s3_suffix = 'test'\n", - "s3_bucket = s3_prefix + '-' + s3_suffix + '/'\n", - "s3.ls(s3_bucket)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f89c4de0-848c-4720-b35f-1d699435e7d1", - "metadata": {}, - "outputs": [], - "source": [ - "s3.touch(s3_bucket + 'myfile')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e8f5cde6-5495-4353-be92-f848d3b42d9f", - "metadata": {}, - "outputs": [], - "source": [ - "s3.ls(s3_bucket)" - ] - }, - { - "cell_type": "markdown", - "id": "8eb691f9-42ab-455e-912d-8a6c7ecdb87b", - "metadata": {}, - "source": [ - "# Try to write some Zarr" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e5c679e5-aa11-43ea-8aa5-2551192db872", - "metadata": {}, - "outputs": [], - "source": [ - "def timeseries(\n", - " chunk_per_worker=5,\n", - " chunk_size=\"128 MB\",\n", - " num_nodes=12,\n", - " worker_per_node=4,\n", - " chunking_scheme=None,\n", - " lat=320,\n", - " lon=384,\n", - " start=\"1980-01-01\",\n", - " freq=\"1H\",\n", - " nan=False,\n", - "):\n", - " \"\"\" Create synthetic Xarray dataset filled with random\n", - " data.\n", - " Parameters\n", - " ----------\n", - " chunk_per_worker : int\n", - " number of chunk placed per worker.\n", - " see docs.dask.org, best practices, for chunk.\n", - " Best chunk size is around 100M but, each worker can\n", - " have many chunk, which automate the parallelism in dask.\n", - " chunk_size : str\n", - " chunk size in bytes, kilo, mega or any factor of bytes\n", - " num_nodes : int\n", - " number of compute nodes\n", - " worker_per_node: int\n", - " number of dask workers per node\n", - " chunking_scheme : str\n", - " Whether to chunk across time dimension ('temporal') or\n", - " horizontal dimensions (lat, lon) ('spatial').\n", - " If None, automatically determine chunk sizes along all dimensions.\n", - " lat : int\n", - " number of latitude values\n", - " lon : int\n", - " number of longitude values\n", - " start : datetime (or datetime-like string)\n", - " Start of time series\n", - " freq : string\n", - " String like '2s' or '1H' or '12W' for the time series frequency\n", - " nan : bool\n", - " Whether to include nan in generated data\n", - " Examples\n", - " ---------\n", - " >>> from benchmarks.datasets import timeseries\n", - " >>> ds = timeseries('128MB', 5, chunking_scheme='spatial', lat=500, lon=600)\n", - " >>> ds\n", - " \n", - " Dimensions: (lat: 500, lon: 600, time: 267)\n", - " Coordinates:\n", - " * time (time) datetime64[ns] 1980-01-01 1980-01-02 ... 1980-09-23\n", - " * lon (lon) float64 -180.0 -179.4 -178.8 -178.2 ... 178.8 179.4 180.0\n", - " * lat (lat) float64 -90.0 -89.64 -89.28 -88.92 ... 88.92 89.28 89.64 90.0\n", - " Data variables:\n", - " sst (time, lon, lat) float64 dask.array\n", + " Discover data and create \n", + "
    \n", + "
  • We show how to access s3 anonymous data in geotiff using Xarray, make a geographical area selection and store into zarr on s3 private object storage
    • \n", + "
  • We do not address dask (chunking optimization, etc.)
    • \n", + "
\n", + "" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "widespread-flood", + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "(function(root) {\n", + " function now() {\n", + " return new Date();\n", + " }\n", + "\n", + " var force = true;\n", + " var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n", + " var reloading = false;\n", + " var Bokeh = root.Bokeh;\n", + "\n", + " if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n", + " root._bokeh_timeout = Date.now() + 5000;\n", + " root._bokeh_failed_load = false;\n", + " }\n", + "\n", + " function run_callbacks() {\n", + " try {\n", + " root._bokeh_onload_callbacks.forEach(function(callback) {\n", + " if (callback != null)\n", + " callback();\n", + " });\n", + " } finally {\n", + " delete root._bokeh_onload_callbacks;\n", + " }\n", + " console.debug(\"Bokeh: all callbacks have finished\");\n", + " }\n", + "\n", + " function load_libs(css_urls, 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+ " var script = scripts[i]\n", + " if (script.src != null) {\n", + "\texisting_scripts.push(script.src)\n", + " }\n", + " }\n", + " for (var i = 0; i < js_urls.length; i++) {\n", + " var url = js_urls[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (var i = 0; i < js_modules.length; i++) {\n", + " var url = js_modules[i];\n", + " if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onload = on_load;\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.src = url;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " document.head.appendChild(element);\n", + " }\n", + " for (const name in js_exports) {\n", + " var url = js_exports[name];\n", + " if (skip.indexOf(url) >= 0 || root[name] != null) {\n", + "\tif (!window.requirejs) {\n", + "\t on_load();\n", + "\t}\n", + "\tcontinue;\n", + " }\n", + " var element = document.createElement('script');\n", + " element.onerror = on_error;\n", + " element.async = false;\n", + " element.type = \"module\";\n", + " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", + " element.textContent = `\n", + " import ${name} from \"${url}\"\n", + " window.${name} = ${name}\n", + " window._bokeh_on_load()\n", + " `\n", + " document.head.appendChild(element);\n", 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{\n", + " root._bokeh_is_initializing = true\n", + " root._bokeh_onload_callbacks = []\n", + " var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", + " if (!reloading && !bokeh_loaded) {\n", + "\troot.Bokeh = undefined;\n", + " }\n", + " load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n", + "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", + "\trun_inline_js();\n", + " });\n", + " }\n", + " }\n", + " // Give older versions of the autoload script a head-start to ensure\n", + " // they initialize before we start loading newer version.\n", + " setTimeout(load_or_wait, 100)\n", + "}(window));" + ], + "application/vnd.holoviews_load.v0+json": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n var py_version = '3.3.2'.replace('rc', '-rc.').replace('.dev', '-dev.');\n var reloading = false;\n var Bokeh = root.Bokeh;\n\n if (typeof 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'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n })\n require([\"jspanel-modal\"], function() {\n\ton_load()\n })\n require([\"jspanel-tooltip\"], function() {\n\ton_load()\n })\n require([\"jspanel-hint\"], function() {\n\ton_load()\n })\n require([\"jspanel-layout\"], function() {\n\ton_load()\n })\n require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n })\n require([\"jspanel-dock\"], function() {\n\ton_load()\n })\n require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n })\n require([\"notyf\"], function() {\n\ton_load()\n })\n root._bokeh_is_loading = css_urls.length + 9;\n } else {\n root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n }\n\n var existing_stylesheets = []\n var links = document.getElementsByTagName('link')\n for (var i = 0; i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.4/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.4/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.4/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; i < js_modules.length; i++) {\n var url = js_modules[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (const name in js_exports) {\n var url = js_exports[name];\n if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onerror = on_error;\n element.async = false;\n element.type = \"module\";\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n element.textContent = `\n import ${name} from \"${url}\"\n window.${name} = ${name}\n window._bokeh_on_load()\n `\n document.head.appendChild(element);\n }\n if (!js_urls.length && !js_modules.length) {\n on_load()\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.2.min.js\", \"https://cdn.holoviz.org/panel/1.3.4/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n ];\n\n function run_inline_js() {\n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n\ttry {\n inline_js[i].call(root, root.Bokeh);\n\t} catch(e) {\n\t if (!reloading) {\n\t throw e;\n\t }\n\t}\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n if (!reloading && !bokeh_loaded) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/javascript": [ + "\n", + "if ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n", + " window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n", + "}\n", + "\n", + "\n", + " function JupyterCommManager() {\n", + " }\n", + "\n", + " JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n", + " if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " comm_manager.register_target(comm_id, function(comm) {\n", + " comm.on_msg(msg_handler);\n", + " });\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n", + " comm.onMsg = msg_handler;\n", + " });\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " console.log(message)\n", + " var content = {data: message.data, comm_id};\n", + " var buffers = []\n", + " for (var buffer of message.buffers || []) {\n", + " buffers.push(new DataView(buffer))\n", + " }\n", + " var metadata = message.metadata || {};\n", + " var msg = {content, buffers, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " })\n", + " }\n", + " }\n", + "\n", + " JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n", + " if (comm_id in window.PyViz.comms) {\n", + " return window.PyViz.comms[comm_id];\n", + " } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n", + " var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n", + " var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n", + " if (msg_handler) {\n", + " comm.on_msg(msg_handler);\n", + " }\n", + " } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n", + " var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n", + " comm.open();\n", + " if (msg_handler) {\n", + " comm.onMsg = msg_handler;\n", + " }\n", + " } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n", + " var comm_promise = google.colab.kernel.comms.open(comm_id)\n", + " comm_promise.then((comm) => {\n", + " window.PyViz.comms[comm_id] = comm;\n", + " if (msg_handler) {\n", + " var messages = comm.messages[Symbol.asyncIterator]();\n", + " function processIteratorResult(result) {\n", + " var message = result.value;\n", + " var content = {data: message.data};\n", + " var metadata = message.metadata || {comm_id};\n", + " var msg = {content, metadata}\n", + " msg_handler(msg);\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " return messages.next().then(processIteratorResult);\n", + " }\n", + " }) \n", + " var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n", + " return comm_promise.then((comm) => {\n", + " comm.send(data, metadata, buffers, disposeOnDone);\n", + " });\n", + " };\n", + " var comm = {\n", + " send: sendClosure\n", + " };\n", + " }\n", + " window.PyViz.comms[comm_id] = comm;\n", + " return comm;\n", + " }\n", + " window.PyViz.comm_manager = new JupyterCommManager();\n", + " \n", + "\n", + "\n", + "var JS_MIME_TYPE = 'application/javascript';\n", + "var HTML_MIME_TYPE = 'text/html';\n", + "var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n", + "var CLASS_NAME = 'output';\n", + "\n", + "/**\n", + " * Render data to the DOM node\n", + " */\n", + "function render(props, node) {\n", + " var div = document.createElement(\"div\");\n", + " var script = document.createElement(\"script\");\n", + " node.appendChild(div);\n", + " node.appendChild(script);\n", + "}\n", + "\n", + "/**\n", + " * Handle when a new output is added\n", + " */\n", + "function handle_add_output(event, handle) {\n", + " var output_area = handle.output_area;\n", + " var output = handle.output;\n", + " if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", + " return\n", + " }\n", + " var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", + " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", + " if (id !== undefined) {\n", + " var nchildren = toinsert.length;\n", + " var html_node = toinsert[nchildren-1].children[0];\n", + " html_node.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var scripts = [];\n", + " var nodelist = html_node.querySelectorAll(\"script\");\n", + " for (var i in nodelist) {\n", + " if (nodelist.hasOwnProperty(i)) {\n", + " scripts.push(nodelist[i])\n", + " }\n", + " }\n", + "\n", + " scripts.forEach( function (oldScript) {\n", + " var newScript = document.createElement(\"script\");\n", + " var attrs = [];\n", + " var nodemap = oldScript.attributes;\n", + " for (var j in nodemap) {\n", + " if (nodemap.hasOwnProperty(j)) {\n", + " attrs.push(nodemap[j])\n", + " }\n", + " }\n", + " attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n", + " newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n", + " oldScript.parentNode.replaceChild(newScript, oldScript);\n", + " });\n", + " if (JS_MIME_TYPE in output.data) {\n", + " toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n", + " }\n", + " output_area._hv_plot_id = id;\n", + " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n", + " window.PyViz.plot_index[id] = Bokeh.index[id];\n", + " } else {\n", + " window.PyViz.plot_index[id] = null;\n", + " }\n", + " } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", + " var bk_div = document.createElement(\"div\");\n", + " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", + " var script_attrs = bk_div.children[0].attributes;\n", + " for (var i = 0; i < script_attrs.length; i++) {\n", + " toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n", + " }\n", + " // store reference to server id on output_area\n", + " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle when an output is cleared or removed\n", + " */\n", + "function handle_clear_output(event, handle) {\n", + " var id = handle.cell.output_area._hv_plot_id;\n", + " var server_id = handle.cell.output_area._bokeh_server_id;\n", + " if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n", + " var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n", + " if (server_id !== null) {\n", + " comm.send({event_type: 'server_delete', 'id': server_id});\n", + " return;\n", + " } else if (comm !== null) {\n", + " comm.send({event_type: 'delete', 'id': id});\n", + " }\n", + " delete PyViz.plot_index[id];\n", + " if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n", + " var doc = window.Bokeh.index[id].model.document\n", + " doc.clear();\n", + " const i = window.Bokeh.documents.indexOf(doc);\n", + " if (i > -1) {\n", + " window.Bokeh.documents.splice(i, 1);\n", + " }\n", + " }\n", + "}\n", + "\n", + "/**\n", + " * Handle kernel restart event\n", + " */\n", + "function handle_kernel_cleanup(event, handle) {\n", + " delete PyViz.comms[\"hv-extension-comm\"];\n", + " window.PyViz.plot_index = {}\n", + "}\n", + "\n", + "/**\n", + " * Handle update_display_data messages\n", + " */\n", + "function handle_update_output(event, handle) {\n", + " handle_clear_output(event, {cell: {output_area: handle.output_area}})\n", + " handle_add_output(event, handle)\n", + "}\n", + "\n", + "function register_renderer(events, OutputArea) {\n", + " function append_mime(data, metadata, element) {\n", + " // create a DOM node to render to\n", + " var toinsert = this.create_output_subarea(\n", + " metadata,\n", + " CLASS_NAME,\n", + " EXEC_MIME_TYPE\n", + " );\n", + " this.keyboard_manager.register_events(toinsert);\n", + " // Render to node\n", + " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", + " render(props, toinsert[0]);\n", + " element.append(toinsert);\n", + " return toinsert\n", + " }\n", + "\n", + " events.on('output_added.OutputArea', handle_add_output);\n", + " events.on('output_updated.OutputArea', handle_update_output);\n", + " events.on('clear_output.CodeCell', handle_clear_output);\n", + " events.on('delete.Cell', handle_clear_output);\n", + " events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n", + "\n", + " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", + " safe: true,\n", + " index: 0\n", + " });\n", + "}\n", + "\n", + "if (window.Jupyter !== undefined) {\n", + " try {\n", + " var events = require('base/js/events');\n", + " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", + " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", + " register_renderer(events, OutputArea);\n", + " }\n", + " } catch(err) {\n", + " }\n", + "}\n" + ], + "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n comm_manager.register_target(comm_id, function(comm) {\n comm.on_msg(msg_handler);\n });\n } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n comm.onMsg = msg_handler;\n });\n } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n var messages = comm.messages[Symbol.asyncIterator]();\n function processIteratorResult(result) {\n var message = result.value;\n console.log(message)\n var content = {data: message.data, comm_id};\n var buffers = []\n for (var buffer of message.buffers || []) {\n buffers.push(new DataView(buffer))\n }\n var metadata = message.metadata || {};\n var msg = {content, buffers, metadata}\n msg_handler(msg);\n return messages.next().then(processIteratorResult);\n }\n return messages.next().then(processIteratorResult);\n })\n }\n }\n\n JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n if (comm_id in window.PyViz.comms) {\n return window.PyViz.comms[comm_id];\n } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n var comm_manager = window.comm_manager || 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" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "client = Client(n_workers=8, silence_logs=logging.ERROR)\n", + "client" + ] + }, + { + "cell_type": "markdown", + "id": "d70a2f86-ac31-4131-be21-fc107a2cb5a0", + "metadata": {}, + "source": [ + "## Access Data from OpenTopography \n", + "- [OpenTopography](https://opentopography.org/about) facilitates efficient access to topography data, tools, and resources to advance our understanding of the Earth’s surface, vegetation, and built environment.\n", + "- The example below is taken from OpenTopography with some adjustments for the purpose of this training material. The original jupyter notebook [OT_BulkAccessCOGs.ipynb](https://github.com/OpenTopography/OT_BulkAccess_COGs/blob/main/OT_BulkAccessCOGs.ipynb) has been developed by Matthew Beckley (UNAVCO, Inc.), Christopher Crosby (UNAVCO, Inc.), Viswanath Nandigam (San Diego Supercomputer Center, UC San Diego), Minh Phan (San Diego Supercomputer Center, UC San Diego). See [https://github.com/OpenTopography/OT_BulkAccess_COGs](https://github.com/OpenTopography/OT_BulkAccess_COGs) for more information.\n", + "- Data is accessible via public S3-compatible object storage. See detailed information on OpenTopography data, which are publicly available in the Analysis Ready Cloud Optimized (ARCO) data format. See more info at [https://opentopography.org/blog/programmatic-access-cloud-optimized-geotiff-cog-global-datasets](https://opentopography.org/blog/programmatic-access-cloud-optimized-geotiff-cog-global-datasets)" + ] + }, + { + "cell_type": "markdown", + "id": "neither-warrant", + "metadata": {}, + "source": [ + "## Connect to bucket (anonymous login for public data only)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b430bece-75cc-4241-a33c-bf5ba27ce051", + "metadata": {}, + "outputs": [], + "source": [ + "fsd = s3fs.S3FileSystem(anon=True,\n", + " client_kwargs={\n", + " \"endpoint_url\": \"https://opentopography.s3.sdsc.edu\"\n", + " })" + ] + }, + { + "cell_type": "markdown", + "id": "systematic-brother", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "### List bucket content" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "da37022b-eece-4371-97cd-03c58d18ce28", + "metadata": 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'raster/SRTM_GL1/SRTM_GL1_srtm/N08W002.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W003.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W004.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W005.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W006.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W007.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W008.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W009.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W010.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W011.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W012.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W013.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W014.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W060.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W061.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W062.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W063.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W064.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W065.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W066.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W067.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W068.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W069.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W070.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W071.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W072.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W073.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W074.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W075.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W076.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N08W077.tif',\n", + " ...]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fsd.ls(\"raster/SRTM_GL1/SRTM_GL1_srtm/\")" + ] + }, + { + "cell_type": "markdown", + "id": "guided-palmer", + "metadata": {}, + "source": [ + "## Access data files " + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "alike-consistency", + "metadata": {}, + "outputs": [], + "source": [ + "s3path = \"s3://raster/SRTM_GL1/SRTM_GL1_srtm/N3[56]W11[234].tif\"" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "accredited-columbus", + "metadata": {}, + "outputs": [], + "source": [ + "remote_files = fsd.glob(s3path)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "neutral-indicator", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['raster/SRTM_GL1/SRTM_GL1_srtm/N35W112.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N35W113.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N35W114.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N36W112.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N36W113.tif',\n", + " 'raster/SRTM_GL1/SRTM_GL1_srtm/N36W114.tif']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "remote_files" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "bored-olive", + "metadata": {}, + "outputs": [], + "source": [ + "# Iterate through remote_files to create a fileset\n", + "fileset = [fsd.open(file) for file in remote_files]\n", + "\n", + "# This works\n", + "dset = xr.open_mfdataset(fileset, combine='by_coords', engine=\"rasterio\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d0df29b7-4b9e-40fb-bbe4-b6341d1e03e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "Dimensions:      (band: 1, x: 10803, y: 7202)\n",
+       "Coordinates:\n",
+       "  * band         (band) int64 1\n",
+       "  * x            (x) float64 -114.0 -114.0 -114.0 ... -111.0 -111.0 -111.0\n",
+       "  * y            (y) float64 37.0 37.0 37.0 37.0 37.0 ... 35.0 35.0 35.0 35.0\n",
+       "    spatial_ref  int64 0\n",
+       "Data variables:\n",
+       "    band_data    (band, y, x) float32 dask.array<chunksize=(1, 512, 512), meta=np.ndarray>
" + ], + "text/plain": [ + "\n", + "Dimensions: (band: 1, x: 10803, y: 7202)\n", + "Coordinates:\n", + " * band (band) int64 1\n", + " * x (x) float64 -114.0 -114.0 -114.0 ... -111.0 -111.0 -111.0\n", + " * y (y) float64 37.0 37.0 37.0 37.0 37.0 ... 35.0 35.0 35.0 35.0\n", + " spatial_ref int64 0\n", + "Data variables:\n", + " band_data (band, y, x) float32 dask.array" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dset" + ] + }, + { + "cell_type": "markdown", + "id": "0d818d6e-f323-46dd-a2d2-11e988d8bd5e", + "metadata": {}, + "source": [ + "## Coarsen to visualize data faster\n", + "\n", + "- It is good practice to use `coarsen` to quickly visualize your data\n", + "- `persist()` triggers computation but keeps data as dask arrays." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "11bfed73-fdf7-4fc3-84b0-b5b62d8ae1c9", + "metadata": {}, + "outputs": [], + "source": [ + "dsmall = dset.band_data.coarsen(x=10, y=10, boundary='pad').mean().persist()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "c82c307c-477b-4426-8e1d-ad24e39d8ffd", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING:param.Image01689: Image dimension(s) x and y are not evenly sampled to relative tolerance of 0.001. Please use the QuadMesh element for irregularly sampled data or set a higher tolerance on hv.config.image_rtol or the rtol parameter in the Image constructor.\n", + "WARNING:param.Image01689: Image dimension(s) x and y are not evenly sampled to relative tolerance of 0.001. Please use the QuadMesh element for irregularly sampled data or set a higher tolerance on hv.config.image_rtol or the rtol parameter in the Image constructor.\n" + ] + }, + { + "data": {}, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.holoviews_exec.v0+json": "", + "text/html": [ + "
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\n", + "" + ], + "text/plain": [ + ":DynamicMap [band]\n", + " :Overlay\n", + " .WMTS.I :WMTS [Longitude,Latitude]\n", + " .Image.I :Image [x,y] (band_data)" + ] + }, + "execution_count": 17, + "metadata": { + "application/vnd.holoviews_exec.v0+json": { + "id": "p1124" + } + }, + "output_type": "execute_result" + } + ], + "source": [ + "dc.band_data.coarsen(x=10, y=10, boundary='pad').mean().persist().hvplot(x = 'x', y = 'y',\n", + " cmap='RdYlGn', alpha=0.7,\n", + " geo=True, tiles= 'CartoLight', width=700, height=700)" + ] + }, + { + "cell_type": "markdown", + "id": "cbc37b5d-b43d-421a-a73f-dbf60e1f1636", + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, + "source": [ + "## Put zarr into private bucket" + ] + }, + { + "cell_type": "markdown", + "id": "wound-antique", + "metadata": {}, + "source": [ + "## Save results in zarr on private object storage for further analysis\n", + "- your credentials are in `$HOME/.aws/credentials` \n", + "- check with your instructor to get the secret access key (replace XXX by the right key)\n", + "\n", + "```\n", + "[default]\n", + "aws_access_key_id=XXXXXXXXXXXX\n", + "aws_secret_access_key=YYYYYYYYYY\n", + "aws_endpoint_url=https://pangeo-eosc-minioapi.vm.fedcloud.eu/\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "bdf41d7d-76f5-4b7a-933d-e0574063dd86", + "metadata": {}, + "source": [ + "### Set the path to your group's location (ask your instructor)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "86e5e2aa-8756-458c-ac37-4fc04a24c5a5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'afouilloux-work/'" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s3_prefix = os.environ['JUPYTERHUB_USER']\n", + "# s3_suffix below is what you need to customise to create your own buckets:\n", + "s3_suffix = 'work'\n", + "s3_bucket = s3_prefix + '-' + s3_suffix + '/'\n", + "s3_bucket" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "9238f645-774b-412f-bf1a-246421a96277", + "metadata": {}, + "outputs": [], + "source": [ + "fss = s3fs.S3FileSystem(anon=False,\n", + " client_kwargs={\n", + " \"endpoint_url\": \"https://pangeo-eosc-minioapi.vm.fedcloud.eu/\"\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "801b3177-945b-4346-8e6a-74a9dda2bbe7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['afouilloux-work/SRTM_GL1_srtm_Colorado.zarr',\n", + " 'afouilloux-work/SRTM_GL1_srtm_Colorado.zarr.zip']" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fss.ls(s3_bucket)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "db0a73e6-9cfa-47e0-b0a4-eed00b308075", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "zarr is present online so we delete it\n" + ] + }, + { + "data": { + "text/plain": [ + "[None]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "try:\n", + " fss.ls(s3_bucket + \"SRTM_GL1_srtm_Colorado.zarr.zip\")\n", + " print(\"zarr is present online so we delete it\")\n", + " fss.rm(s3_bucket + \"SRTM_GL1_srtm_Colorado.zarr.zip\")\n", + "except:\n", + " print(\"Zarr is not there; no need to delete it\")\n", + "\n", + "fss.put(\"SRTM_GL1_Colorado.zarr.zip\", s3_bucket + \"/SRTM_GL1_srtm_Colorado.zarr.zip\")" + ] + }, + { + "cell_type": "markdown", + "id": "demanding-spirit", + "metadata": {}, + "source": [ + "## Check what you have stored in s3\n", + "\n", + "- we use https://pangeo-eosc-minioapi.vm.fedcloud.eu/ as an endpoint\n", + "- we need to authenticate to access data (anon=False)" + ] + }, + { + "cell_type": "markdown", + "id": "0961de44-e27a-4f00-b924-650373142abb", + "metadata": {}, + "source": [ + "### Read zarr from private s3 bucket" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "657a0112-202a-401c-94b8-87922d8aa18d", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import s3fs\n", + "import zipfile\n", + "import fsspec\n", + "from fsspec.implementations.zip import ZipFileSystem\n", + "from fsspec.mapping import FSMap\n", + "import xarray as xr\n", + "from hvplot import xarray" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "296ecbd8-94ed-448e-b6fe-ac330ad5f87e", + "metadata": {}, + "outputs": [], + "source": [ + "fst = s3fs.S3FileSystem(anon=False,\n", + " client_kwargs={\n", + " \"endpoint_url\": \"https://pangeo-eosc-minioapi.vm.fedcloud.eu/\"\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "8b5f60db-320e-4722-8e99-5986fcc9db62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'afouilloux-work/'" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s3_prefix = os.environ['JUPYTERHUB_USER']\n", + "# s3_suffix below is what you need to customise to create your own buckets:\n", + "s3_suffix = 'work'\n", + "s3_bucket = s3_prefix + '-' + s3_suffix + '/'\n", + "s3_bucket" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3dc39081-5bc2-4440-8d49-02bffd4150af", + "metadata": {}, + "outputs": [], + "source": [ + "s3_path = \"s3://\" + s3_bucket + \"SRTM_GL1_srtm_Colorado.zarr.zip\"" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "26180e8c-b939-41e9-b744-d97108320129", + "metadata": {}, + "outputs": [], + "source": [ + "f = fst.open(s3_path)\n", + "fs = ZipFileSystem(f, mode=\"r\")\n", + "store = FSMap(\"\", fs, check=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "e0fd67f4-068a-4e21-aba2-d7c217f91b9d", + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "# Read Zarr file\n", + "ds = xr.open_zarr(store=store, consolidated=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "470f7876-2d93-4673-819d-b354aed42892", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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+       "  * y            (y) float64 37.0 37.0 37.0 37.0 37.0 ... 35.0 35.0 35.0 35.0\n",
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