chore: import upstream snapshot with attribution
This commit is contained in:
wehub-resource-sync
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<!doctype html>
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<html>
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<head>
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<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, minimum-scale=1, user-scalable=no" />
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<script type="module" src="http://localhost:8080/node_modules/@perspective-dev/viewer-datagrid/dist/cdn/perspective-viewer-datagrid.js"></script>
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<script type="module" src="http://localhost:8080/node_modules/@perspective-dev/viewer-charts/dist/cdn/perspective-viewer-charts.js"></script>
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<link rel="stylesheet" crossorigin="anonymous" href="/node_modules/@perspective-dev/viewer/dist/css/themes.css" />
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<style>
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perspective-viewer {
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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bottom: 0;
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}
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</style>
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</head>
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<body>
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<perspective-viewer id="viewer" ,> </perspective-viewer>
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<script type="module">
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import "/node_modules/@perspective-dev/viewer/dist/cdn/perspective-viewer.js";
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import perspective from "/node_modules/@perspective-dev/client/dist/cdn/perspective.js";
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const viewer = document.getElementById("viewer");
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// Create a client that expects a Perspective server to accept
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// Websocket connections at the specified URL.
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const websocket = await perspective.websocket("ws://localhost:8080/websocket");
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/* This shows Perspective running in "server mode": the `table`
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variable is a proxy for the `Table` we created on the server.
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All operations that are possible through the Javascript API are
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possible on the Python API as well, thus calling `view()`,
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`schema()`, `update()` etc on `const table` will pass those
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operations to the Python `Table`, execute the commands,
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and return the result back to Javascript.
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*/
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const table = await websocket.open_table("data_source_one");
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// Load this in the `<perspective-viewer>`.
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viewer.load(table);
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viewer.restore({
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plugin: "Datagrid",
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aggregates: {
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high: "avg",
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low: "avg",
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},
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columns: ["high", "low"],
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group_by: ["client"],
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split_by: ["name"],
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});
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// viewer.toggleConfig();
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</script>
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</body>
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</html>
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@@ -0,0 +1,22 @@
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{
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"name": "python-tornado-streaming",
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"private": true,
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"version": "4.5.2",
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"description": "An example of streaming a `perspective-python` server to the browser.",
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"scripts": {
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"start": "PYTHONPATH=../../python/perspective python3 server.py"
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},
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"keywords": [],
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"license": "Apache-2.0",
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"dependencies": {
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"@perspective-dev/client": "workspace:",
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"@perspective-dev/viewer": "workspace:",
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"@perspective-dev/viewer-charts": "workspace:",
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"@perspective-dev/viewer-datagrid": "workspace:",
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"@perspective-dev/workspace": "workspace:",
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"superstore-arrow": "^3.2.0"
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},
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"devDependencies": {
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"npm-run-all": "^4.1.3"
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}
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}
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@@ -0,0 +1,136 @@
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# ┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
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# ┃ ██████ ██████ ██████ █ █ █ █ █ █▄ ▀███ █ ┃
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# ┃ ▄▄▄▄▄█ █▄▄▄▄▄ ▄▄▄▄▄█ ▀▀▀▀▀█▀▀▀▀▀ █ ▀▀▀▀▀█ ████████▌▐███ ███▄ ▀█ █ ▀▀▀▀▀ ┃
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# ┃ █▀▀▀▀▀ █▀▀▀▀▀ █▀██▀▀ ▄▄▄▄▄ █ ▄▄▄▄▄█ ▄▄▄▄▄█ ████████▌▐███ █████▄ █ ▄▄▄▄▄ ┃
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# ┃ █ ██████ █ ▀█▄ █ ██████ █ ███▌▐███ ███████▄ █ ┃
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# ┣━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┫
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# ┃ Copyright (c) 2017, the Perspective Authors. ┃
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# ┃ ╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌ ┃
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# ┃ This file is part of the Perspective library, distributed under the terms ┃
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# ┃ of the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). ┃
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# ┗━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┛
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import random
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import logging
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import tornado.websocket
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import tornado.web
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import tornado.ioloop
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from datetime import date, datetime
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import perspective
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import perspective.handlers.tornado
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import threading
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import time
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from functools import partial
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from concurrent.futures import ThreadPoolExecutor
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def data_source(num_rows):
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rows = []
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modifier = random.random() * random.randint(1, 50)
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for i in range(num_rows):
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rows.append(
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{
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"name": SECURITIES[random.randint(0, len(SECURITIES) - 1)],
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"client": CLIENTS[random.randint(0, len(CLIENTS) - 1)],
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"open": (random.random() * 75 + random.randint(0, 9)) * modifier,
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"high": (random.random() * 105 + random.randint(1, 3)) * modifier,
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"low": (random.random() * 85 + random.randint(1, 3)) * modifier,
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"close": (random.random() * 90 + random.randint(1, 3)) * modifier,
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"lastUpdate": datetime.now().timestamp() * 1000,
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"date": date.today().strftime("%Y-%m-%d"),
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}
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)
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return rows
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SECURITIES = [
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"AAPL.N",
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"AMZN.N",
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"QQQ.N",
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"NVDA.N",
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"TSLA.N",
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"FB.N",
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"MSFT.N",
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"TLT.N",
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"XIV.N",
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"YY.N",
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"CSCO.N",
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"GOOGL.N",
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"PCLN.N",
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]
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CLIENTS = ["Homer", "Marge", "Bart", "Lisa", "Maggie", "Moe", "Lenny", "Carl", "Krusty"]
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def update_target(perspective_server):
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client = perspective_server.new_local_client()
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table = client.table(
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{
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"name": "string",
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"client": "string",
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"open": "float",
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"high": "float",
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"low": "float",
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"close": "float",
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"lastUpdate": "datetime",
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"date": "date",
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},
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limit=250_000,
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name="data_source_one",
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)
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while True:
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table.update(data_source(num_rows=50))
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time.sleep(0.01)
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def poll_target(lock, perspective_server):
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try:
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perspective_server.poll()
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finally:
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lock.release()
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# `on_poll_request` is an optional keyword argument for `Server()`, which
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# enables an optimization which can be applied in cases when deferring
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# overlapping `Table.update` calls can be done safely.
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#
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# In This case, `Table.update` is always called every `TICK_RATE`, so it is safe
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# to defer these updates as they'll get applied when the next tick occurs.
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def on_poll_request(lock, executor, perspective_server):
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if lock.acquire(blocking=False):
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executor.submit(poll_target, lock, perspective_server)
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def make_app(executor, perspective_server):
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return tornado.web.Application(
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[
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(
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r"/websocket",
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perspective.handlers.tornado.PerspectiveTornadoHandler,
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{"perspective_server": perspective_server, "executor": executor},
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),
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(
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r"/(.*)",
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tornado.web.StaticFileHandler,
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{"path": "./", "default_filename": "index.html"},
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),
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]
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)
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if __name__ == "__main__":
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executor = ThreadPoolExecutor()
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lock = threading.Lock()
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perspective_server = perspective.Server(
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on_poll_request=partial(on_poll_request, lock, executor),
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)
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thread = threading.Thread(target=update_target, args=(perspective_server,))
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thread.start()
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loop = tornado.ioloop.IOLoop.current()
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app = make_app(executor, perspective_server)
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app.listen(8080)
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logging.warning("Listening on http://localhost:8080")
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loop.start()
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