shao
|
@ -0,0 +1,142 @@
|
|||
|
||||
# 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
|
||||
|
||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
||||
__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/
|
||||
|
||||
# JetBrains IDEs
|
||||
.idea/
|
|
@ -0,0 +1,22 @@
|
|||
# FastAPI + Dash Sample App
|
||||
Sample application that runs a Dash app mounted inside a FastAPI webserver.
|
||||
|
||||
## Quickstart
|
||||
|
||||
1. Install dependencies
|
||||
```bash
|
||||
poetry install
|
||||
```
|
||||
2. Run webserver
|
||||
```bash
|
||||
poetry run python -m app
|
||||
```
|
||||
3. Load up in browser: http://localhost:8000
|
||||
|
||||
## Routes
|
||||
|
||||
| Route | Description | Link |
|
||||
|-------------|----------------------------------|------------------------------|
|
||||
| GET / | Base route (tests shared prefix) | http://localhost:8000/ |
|
||||
| GET /status | Non-Dash route | http://localhost:8000/status |
|
||||
| GET /dash | Dash app | http://localhost:8000/dash |
|
|
@ -0,0 +1,34 @@
|
|||
import uvicorn
|
||||
from fastapi import FastAPI
|
||||
from fastapi.middleware.wsgi import WSGIMiddleware
|
||||
|
||||
from dashapp import create_dash_app
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
|
||||
@app.get("/")
|
||||
def read_main():
|
||||
return {
|
||||
"routes": [
|
||||
{"method": "GET", "path": "/", "summary": "Landing"},
|
||||
{"method": "GET", "path": "/status", "summary": "App status"},
|
||||
{"method": "GET", "path": "/dash", "summary": "Sub-mounted Dash application"},
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
@app.get("/status")
|
||||
def get_status():
|
||||
return {"status": "ok"}
|
||||
|
||||
|
||||
# A bit odd, but the only way I've been able to get prefixing of the Dash app
|
||||
# to work is by allowing the Dash/Flask app to prefix itself, then mounting
|
||||
# it to root
|
||||
dash_app = create_dash_app(requests_pathname_prefix="/dash/")
|
||||
app.mount("/dash", WSGIMiddleware(dash_app.server))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
uvicorn.run(app, port=8000)
|
|
@ -0,0 +1,61 @@
|
|||
import dash
|
||||
from dash.dependencies import Input, Output
|
||||
from dash import dcc, html
|
||||
|
||||
import flask
|
||||
import pandas as pd
|
||||
import os
|
||||
|
||||
|
||||
def create_dash_app(requests_pathname_prefix: str = None) -> dash.Dash:
|
||||
"""
|
||||
Sample Dash application from Plotly: https://github.com/plotly/dash-hello-world/blob/master/app.py
|
||||
"""
|
||||
server = flask.Flask(__name__)
|
||||
server.secret_key = os.environ.get('secret_key', 'secret')
|
||||
|
||||
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/hello-world-stock.csv')
|
||||
|
||||
app = dash.Dash(__name__, server=server, requests_pathname_prefix=requests_pathname_prefix)
|
||||
|
||||
app.scripts.config.serve_locally = False
|
||||
dcc._js_dist[0]['external_url'] = 'https://cdn.plot.ly/plotly-basic-latest.min.js'
|
||||
|
||||
app.layout = html.Div([
|
||||
html.H1('Stock Tickers'),
|
||||
dcc.Dropdown(
|
||||
id='my-dropdown',
|
||||
options=[
|
||||
{'label': 'Tesla', 'value': 'TSLA'},
|
||||
{'label': 'Apple', 'value': 'AAPL'},
|
||||
{'label': 'Coke', 'value': 'COKE'}
|
||||
],
|
||||
value='TSLA'
|
||||
),
|
||||
dcc.Graph(id='my-graph')
|
||||
], className="container")
|
||||
|
||||
@app.callback(Output('my-graph', 'figure'),
|
||||
[Input('my-dropdown', 'value')])
|
||||
def update_graph(selected_dropdown_value):
|
||||
dff = df[df['Stock'] == selected_dropdown_value]
|
||||
return {
|
||||
'data': [{
|
||||
'x': dff.Date,
|
||||
'y': dff.Close,
|
||||
'line': {
|
||||
'width': 3,
|
||||
'shape': 'spline'
|
||||
}
|
||||
}],
|
||||
'layout': {
|
||||
'margin': {
|
||||
'l': 30,
|
||||
'r': 20,
|
||||
'b': 30,
|
||||
't': 20
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return app
|
|
@ -0,0 +1,767 @@
|
|||
[[package]]
|
||||
name = "anyio"
|
||||
version = "3.4.0"
|
||||
description = "High level compatibility layer for multiple asynchronous event loop implementations"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6.2"
|
||||
|
||||
[package.dependencies]
|
||||
idna = ">=2.8"
|
||||
sniffio = ">=1.1"
|
||||
|
||||
[package.extras]
|
||||
doc = ["sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
|
||||
test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "contextlib2", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"]
|
||||
trio = ["trio (>=0.16)"]
|
||||
|
||||
[[package]]
|
||||
name = "asgiref"
|
||||
version = "3.4.1"
|
||||
description = "ASGI specs, helper code, and adapters"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[package.extras]
|
||||
tests = ["pytest", "pytest-asyncio", "mypy (>=0.800)"]
|
||||
|
||||
[[package]]
|
||||
name = "black"
|
||||
version = "21.12b0"
|
||||
description = "The uncompromising code formatter."
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.6.2"
|
||||
|
||||
[package.dependencies]
|
||||
click = ">=7.1.2"
|
||||
mypy-extensions = ">=0.4.3"
|
||||
pathspec = ">=0.9.0,<1"
|
||||
platformdirs = ">=2"
|
||||
tomli = ">=0.2.6,<2.0.0"
|
||||
typing-extensions = [
|
||||
{version = ">=3.10.0.0", markers = "python_version < \"3.10\""},
|
||||
{version = "!=3.10.0.1", markers = "python_version >= \"3.10\""},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
colorama = ["colorama (>=0.4.3)"]
|
||||
d = ["aiohttp (>=3.7.4)"]
|
||||
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
|
||||
python2 = ["typed-ast (>=1.4.3)"]
|
||||
uvloop = ["uvloop (>=0.15.2)"]
|
||||
|
||||
[[package]]
|
||||
name = "brotli"
|
||||
version = "1.0.9"
|
||||
description = "Python bindings for the Brotli compression library"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "click"
|
||||
version = "8.0.3"
|
||||
description = "Composable command line interface toolkit"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[package.dependencies]
|
||||
colorama = {version = "*", markers = "platform_system == \"Windows\""}
|
||||
|
||||
[[package]]
|
||||
name = "colorama"
|
||||
version = "0.4.4"
|
||||
description = "Cross-platform colored terminal text."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
|
||||
|
||||
[[package]]
|
||||
name = "dash"
|
||||
version = "2.0.0"
|
||||
description = "A Python framework for building reactive web-apps. Developed by Plotly."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[package.dependencies]
|
||||
dash-core-components = "2.0.0"
|
||||
dash-html-components = "2.0.0"
|
||||
dash-table = "5.0.0"
|
||||
Flask = ">=1.0.4"
|
||||
flask-compress = "*"
|
||||
plotly = ">=5.0.0"
|
||||
|
||||
[package.extras]
|
||||
dev = ["dash-flow-example (==0.0.5)", "dash-dangerously-set-inner-html", "mock (==4.0.3)", "flake8 (==3.9.2)", "PyYAML (==5.4.1)", "pylint (==2.10.2)", "black (==21.6b0)", "fire (==0.4.0)", "coloredlogs (==15.0.1)", "flask-talisman (==0.8.1)", "isort (==4.3.21)", "orjson (==3.3.1)", "orjson (==3.6.1)"]
|
||||
testing = ["pytest (>=6.0.2)", "pytest-sugar (>=0.9.4)", "pytest-mock (>=3.2.0)", "lxml (>=4.6.2)", "selenium (>=3.141.0)", "percy (>=2.0.2)", "requests[security] (>=2.21.0)", "beautifulsoup4 (>=4.8.2)", "waitress (>=1.4.4)", "diskcache (>=5.2.1)", "multiprocess (>=0.70.12)", "redis (>=3.5.3)", "psutil (>=5.8.0)", "celery[redis] (>=5.1.2)", "flaky (>=3.7.0)", "cryptography (<3.4)"]
|
||||
|
||||
[[package]]
|
||||
name = "dash-core-components"
|
||||
version = "2.0.0"
|
||||
description = "Core component suite for Dash"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "dash-html-components"
|
||||
version = "2.0.0"
|
||||
description = "Vanilla HTML components for Dash"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "dash-table"
|
||||
version = "5.0.0"
|
||||
description = "Dash table"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "fastapi"
|
||||
version = "0.70.0"
|
||||
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6.1"
|
||||
|
||||
[package.dependencies]
|
||||
pydantic = ">=1.6.2,<1.7 || >1.7,<1.7.1 || >1.7.1,<1.7.2 || >1.7.2,<1.7.3 || >1.7.3,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0"
|
||||
starlette = "0.16.0"
|
||||
|
||||
[package.extras]
|
||||
all = ["requests (>=2.24.0,<3.0.0)", "jinja2 (>=2.11.2,<4.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "itsdangerous (>=1.1.0,<3.0.0)", "pyyaml (>=5.3.1,<6.0.0)", "ujson (>=4.0.1,<5.0.0)", "orjson (>=3.2.1,<4.0.0)", "email_validator (>=1.1.1,<2.0.0)", "uvicorn[standard] (>=0.12.0,<0.16.0)"]
|
||||
dev = ["python-jose[cryptography] (>=3.3.0,<4.0.0)", "passlib[bcrypt] (>=1.7.2,<2.0.0)", "autoflake (>=1.4.0,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "uvicorn[standard] (>=0.12.0,<0.16.0)"]
|
||||
doc = ["mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=7.1.9,<8.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs-markdownextradata-plugin (>=0.1.7,<0.3.0)", "typer-cli (>=0.0.12,<0.0.13)", "pyyaml (>=5.3.1,<6.0.0)"]
|
||||
test = ["pytest (>=6.2.4,<7.0.0)", "pytest-cov (>=2.12.0,<4.0.0)", "mypy (==0.910)", "flake8 (>=3.8.3,<4.0.0)", "black (==21.9b0)", "isort (>=5.0.6,<6.0.0)", "requests (>=2.24.0,<3.0.0)", "httpx (>=0.14.0,<0.19.0)", "email_validator (>=1.1.1,<2.0.0)", "sqlalchemy (>=1.3.18,<1.5.0)", "peewee (>=3.13.3,<4.0.0)", "databases[sqlite] (>=0.3.2,<0.6.0)", "orjson (>=3.2.1,<4.0.0)", "ujson (>=4.0.1,<5.0.0)", "python-multipart (>=0.0.5,<0.0.6)", "flask (>=1.1.2,<3.0.0)", "anyio[trio] (>=3.2.1,<4.0.0)", "types-ujson (==0.1.1)", "types-orjson (==3.6.0)", "types-dataclasses (==0.1.7)"]
|
||||
|
||||
[[package]]
|
||||
name = "flask"
|
||||
version = "2.0.2"
|
||||
description = "A simple framework for building complex web applications."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[package.dependencies]
|
||||
click = ">=7.1.2"
|
||||
itsdangerous = ">=2.0"
|
||||
Jinja2 = ">=3.0"
|
||||
Werkzeug = ">=2.0"
|
||||
|
||||
[package.extras]
|
||||
async = ["asgiref (>=3.2)"]
|
||||
dotenv = ["python-dotenv"]
|
||||
|
||||
[[package]]
|
||||
name = "flask-compress"
|
||||
version = "1.10.1"
|
||||
description = "Compress responses in your Flask app with gzip, deflate or brotli."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[package.dependencies]
|
||||
brotli = "*"
|
||||
flask = "*"
|
||||
|
||||
[[package]]
|
||||
name = "h11"
|
||||
version = "0.12.0"
|
||||
description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[[package]]
|
||||
name = "idna"
|
||||
version = "3.3"
|
||||
description = "Internationalized Domain Names in Applications (IDNA)"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
|
||||
[[package]]
|
||||
name = "itsdangerous"
|
||||
version = "2.0.1"
|
||||
description = "Safely pass data to untrusted environments and back."
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
|
||||
[[package]]
|
||||
name = "jinja2"
|
||||
version = "3.0.3"
|
||||
description = "A very fast and expressive template engine."
|
||||
category = "main"
|
||||
optional = false
|
||||
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||||
{file = "pandas-1.3.4.tar.gz", hash = "sha256:a2aa18d3f0b7d538e21932f637fbfe8518d085238b429e4790a35e1e44a96ffc"},
|
||||
]
|
||||
pathspec = [
|
||||
{file = "pathspec-0.9.0-py2.py3-none-any.whl", hash = "sha256:7d15c4ddb0b5c802d161efc417ec1a2558ea2653c2e8ad9c19098201dc1c993a"},
|
||||
{file = "pathspec-0.9.0.tar.gz", hash = "sha256:e564499435a2673d586f6b2130bb5b95f04a3ba06f81b8f895b651a3c76aabb1"},
|
||||
]
|
||||
platformdirs = [
|
||||
{file = "platformdirs-2.4.0-py3-none-any.whl", hash = "sha256:8868bbe3c3c80d42f20156f22e7131d2fb321f5bc86a2a345375c6481a67021d"},
|
||||
{file = "platformdirs-2.4.0.tar.gz", hash = "sha256:367a5e80b3d04d2428ffa76d33f124cf11e8fff2acdaa9b43d545f5c7d661ef2"},
|
||||
]
|
||||
plotly = [
|
||||
{file = "plotly-5.4.0-py2.py3-none-any.whl", hash = "sha256:1e5c1a5c87caaf68ce0d9872d4636e3ce1f82c7f6988eb20905ff5b58e57525c"},
|
||||
{file = "plotly-5.4.0.tar.gz", hash = "sha256:735d50738c760ecbf3a38e2336b8c1b119bff2d857096e4f68af31089b798161"},
|
||||
]
|
||||
pydantic = [
|
||||
{file = "pydantic-1.8.2-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:05ddfd37c1720c392f4e0d43c484217b7521558302e7069ce8d318438d297739"},
|
||||
{file = "pydantic-1.8.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:a7c6002203fe2c5a1b5cbb141bb85060cbff88c2d78eccbc72d97eb7022c43e4"},
|
||||
{file = "pydantic-1.8.2-cp36-cp36m-manylinux2014_i686.whl", hash = "sha256:589eb6cd6361e8ac341db97602eb7f354551482368a37f4fd086c0733548308e"},
|
||||
{file = "pydantic-1.8.2-cp36-cp36m-manylinux2014_x86_64.whl", hash = "sha256:10e5622224245941efc193ad1d159887872776df7a8fd592ed746aa25d071840"},
|
||||
{file = "pydantic-1.8.2-cp36-cp36m-win_amd64.whl", hash = "sha256:99a9fc39470010c45c161a1dc584997f1feb13f689ecf645f59bb4ba623e586b"},
|
||||
{file = "pydantic-1.8.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:a83db7205f60c6a86f2c44a61791d993dff4b73135df1973ecd9eed5ea0bda20"},
|
||||
{file = "pydantic-1.8.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:41b542c0b3c42dc17da70554bc6f38cbc30d7066d2c2815a94499b5684582ecb"},
|
||||
{file = "pydantic-1.8.2-cp37-cp37m-manylinux2014_i686.whl", hash = "sha256:ea5cb40a3b23b3265f6325727ddfc45141b08ed665458be8c6285e7b85bd73a1"},
|
||||
{file = "pydantic-1.8.2-cp37-cp37m-manylinux2014_x86_64.whl", hash = "sha256:18b5ea242dd3e62dbf89b2b0ec9ba6c7b5abaf6af85b95a97b00279f65845a23"},
|
||||
{file = "pydantic-1.8.2-cp37-cp37m-win_amd64.whl", hash = "sha256:234a6c19f1c14e25e362cb05c68afb7f183eb931dd3cd4605eafff055ebbf287"},
|
||||
{file = "pydantic-1.8.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:021ea0e4133e8c824775a0cfe098677acf6fa5a3cbf9206a376eed3fc09302cd"},
|
||||
{file = "pydantic-1.8.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:e710876437bc07bd414ff453ac8ec63d219e7690128d925c6e82889d674bb505"},
|
||||
{file = "pydantic-1.8.2-cp38-cp38-manylinux2014_i686.whl", hash = "sha256:ac8eed4ca3bd3aadc58a13c2aa93cd8a884bcf21cb019f8cfecaae3b6ce3746e"},
|
||||
{file = "pydantic-1.8.2-cp38-cp38-manylinux2014_x86_64.whl", hash = "sha256:4a03cbbe743e9c7247ceae6f0d8898f7a64bb65800a45cbdc52d65e370570820"},
|
||||
{file = "pydantic-1.8.2-cp38-cp38-win_amd64.whl", hash = "sha256:8621559dcf5afacf0069ed194278f35c255dc1a1385c28b32dd6c110fd6531b3"},
|
||||
{file = "pydantic-1.8.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8b223557f9510cf0bfd8b01316bf6dd281cf41826607eada99662f5e4963f316"},
|
||||
{file = "pydantic-1.8.2-cp39-cp39-manylinux1_i686.whl", hash = "sha256:244ad78eeb388a43b0c927e74d3af78008e944074b7d0f4f696ddd5b2af43c62"},
|
||||
{file = "pydantic-1.8.2-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:05ef5246a7ffd2ce12a619cbb29f3307b7c4509307b1b49f456657b43529dc6f"},
|
||||
{file = "pydantic-1.8.2-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:54cd5121383f4a461ff7644c7ca20c0419d58052db70d8791eacbbe31528916b"},
|
||||
{file = "pydantic-1.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:4be75bebf676a5f0f87937c6ddb061fa39cbea067240d98e298508c1bda6f3f3"},
|
||||
{file = "pydantic-1.8.2-py3-none-any.whl", hash = "sha256:fec866a0b59f372b7e776f2d7308511784dace622e0992a0b59ea3ccee0ae833"},
|
||||
{file = "pydantic-1.8.2.tar.gz", hash = "sha256:26464e57ccaafe72b7ad156fdaa4e9b9ef051f69e175dbbb463283000c05ab7b"},
|
||||
]
|
||||
python-dateutil = [
|
||||
{file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
|
||||
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
|
||||
]
|
||||
pytz = [
|
||||
{file = "pytz-2021.3-py2.py3-none-any.whl", hash = "sha256:3672058bc3453457b622aab7a1c3bfd5ab0bdae451512f6cf25f64ed37f5b87c"},
|
||||
{file = "pytz-2021.3.tar.gz", hash = "sha256:acad2d8b20a1af07d4e4c9d2e9285c5ed9104354062f275f3fcd88dcef4f1326"},
|
||||
]
|
||||
six = [
|
||||
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
||||
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||
]
|
||||
sniffio = [
|
||||
{file = "sniffio-1.2.0-py3-none-any.whl", hash = "sha256:471b71698eac1c2112a40ce2752bb2f4a4814c22a54a3eed3676bc0f5ca9f663"},
|
||||
{file = "sniffio-1.2.0.tar.gz", hash = "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"},
|
||||
]
|
||||
starlette = [
|
||||
{file = "starlette-0.16.0-py3-none-any.whl", hash = "sha256:38eb24bf705a2c317e15868e384c1b8a12ca396e5a3c3a003db7e667c43f939f"},
|
||||
{file = "starlette-0.16.0.tar.gz", hash = "sha256:e1904b5d0007aee24bdd3c43994be9b3b729f4f58e740200de1d623f8c3a8870"},
|
||||
]
|
||||
tenacity = [
|
||||
{file = "tenacity-8.0.1-py3-none-any.whl", hash = "sha256:f78f4ea81b0fabc06728c11dc2a8c01277bfc5181b321a4770471902e3eb844a"},
|
||||
{file = "tenacity-8.0.1.tar.gz", hash = "sha256:43242a20e3e73291a28bcbcacfd6e000b02d3857a9a9fff56b297a27afdc932f"},
|
||||
]
|
||||
tomli = [
|
||||
{file = "tomli-1.2.2-py3-none-any.whl", hash = "sha256:f04066f68f5554911363063a30b108d2b5a5b1a010aa8b6132af78489fe3aade"},
|
||||
{file = "tomli-1.2.2.tar.gz", hash = "sha256:c6ce0015eb38820eaf32b5db832dbc26deb3dd427bd5f6556cf0acac2c214fee"},
|
||||
]
|
||||
typing-extensions = [
|
||||
{file = "typing_extensions-4.0.1-py3-none-any.whl", hash = "sha256:7f001e5ac290a0c0401508864c7ec868be4e701886d5b573a9528ed3973d9d3b"},
|
||||
{file = "typing_extensions-4.0.1.tar.gz", hash = "sha256:4ca091dea149f945ec56afb48dae714f21e8692ef22a395223bcd328961b6a0e"},
|
||||
]
|
||||
uvicorn = [
|
||||
{file = "uvicorn-0.16.0-py3-none-any.whl", hash = "sha256:d8c839231f270adaa6d338d525e2652a0b4a5f4c2430b5c4ef6ae4d11776b0d2"},
|
||||
{file = "uvicorn-0.16.0.tar.gz", hash = "sha256:eacb66afa65e0648fcbce5e746b135d09722231ffffc61883d4fac2b62fbea8d"},
|
||||
]
|
||||
werkzeug = [
|
||||
{file = "Werkzeug-2.0.2-py3-none-any.whl", hash = "sha256:63d3dc1cf60e7b7e35e97fa9861f7397283b75d765afcaefd993d6046899de8f"},
|
||||
{file = "Werkzeug-2.0.2.tar.gz", hash = "sha256:aa2bb6fc8dee8d6c504c0ac1e7f5f7dc5810a9903e793b6f715a9f015bdadb9a"},
|
||||
]
|
|
@ -0,0 +1,21 @@
|
|||
[tool.poetry]
|
||||
name = "fastapi-plotly-dash"
|
||||
version = "0.1.0"
|
||||
description = "Sample integration of FastAPI and Dash"
|
||||
authors = ["Russ Snyder <ru.snyder@gmail.com>"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.8"
|
||||
|
||||
dash = "^2.0.0"
|
||||
fastapi = "*"
|
||||
pandas = "*"
|
||||
uvicorn = "*"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
black = "*"
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry>=0.12"]
|
||||
build-backend = "poetry.masonry.api"
|
||||
|
|
@ -0,0 +1,6 @@
|
|||
https://blog.csdn.net/not_so_bad/article/details/127705403
|
||||
安装
|
||||
|
||||
pip install pipx
|
||||
pipx install poetry
|
||||
pipx ensurepath
|
|
@ -0,0 +1,14 @@
|
|||
[tool.poetry]
|
||||
name = "pythonbook"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["13002457275 <4448445@qq.com>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
|
@ -0,0 +1 @@
|
|||
# python_advance
|
|
@ -0,0 +1,69 @@
|
|||
import time
|
||||
from threading import Thread
|
||||
from queue import Queue
|
||||
|
||||
|
||||
class MyThread(Thread):
|
||||
def __init__(self, name: str, count: int):
|
||||
super().__init__()
|
||||
|
||||
self.setName(name)
|
||||
self.setDaemon(True)
|
||||
self.count = count
|
||||
|
||||
def run(self) -> None:
|
||||
for n in range(self.count):
|
||||
print(f"{self.getName()} - {n}\n", end='')
|
||||
time.sleep(0.01)
|
||||
|
||||
|
||||
t_1 = MyThread("A", 10)
|
||||
t_2 = MyThread("B", 10)
|
||||
|
||||
t_1.start()
|
||||
t_2.start()
|
||||
|
||||
t_1.join()
|
||||
|
||||
|
||||
class MsgProducer(Thread):
|
||||
def __init__(self, name: str, count: int, queue: Queue):
|
||||
super().__init__()
|
||||
|
||||
self.setName(name)
|
||||
self.count = count
|
||||
self.queue = queue
|
||||
|
||||
def run(self) -> None:
|
||||
for n in range(self.count):
|
||||
msg = f"{self.getName()} - {n}"
|
||||
self.queue.put(msg, block=True)
|
||||
|
||||
|
||||
class MsgConsumer(Thread):
|
||||
def __init__(self, name: str, queue: Queue):
|
||||
super().__init__()
|
||||
|
||||
self.setName(name)
|
||||
self.queue = queue
|
||||
self.setDaemon(True)
|
||||
|
||||
def run(self) -> None:
|
||||
while True:
|
||||
msg = self.queue.get(block=True)
|
||||
print(f"{self.getName()} - {msg}\n", end='')
|
||||
|
||||
|
||||
queue = Queue(3)
|
||||
threads = list()
|
||||
threads.append(MsgProducer("PA", 10, queue))
|
||||
threads.append(MsgProducer("PB", 10, queue))
|
||||
threads.append(MsgProducer("PC", 10, queue))
|
||||
|
||||
threads.append(MsgConsumer("CA", queue))
|
||||
threads.append(MsgConsumer("CB", queue))
|
||||
|
||||
for t in threads:
|
||||
t.start()
|
||||
|
||||
|
|
@ -0,0 +1,57 @@
|
|||
import asyncio
|
||||
from asyncio.exceptions import TimeoutError
|
||||
|
||||
|
||||
async def play_music(music: str):
|
||||
print(f"Start playing {music}")
|
||||
await asyncio.sleep(3)
|
||||
print(f"Finished playing {music}")
|
||||
|
||||
return music
|
||||
|
||||
|
||||
async def call_api():
|
||||
print("calling api.....")
|
||||
raise Exception("Error calling")
|
||||
|
||||
|
||||
async def my_cancel():
|
||||
task = asyncio.create_task(play_music("A"))
|
||||
|
||||
await asyncio.sleep(3)
|
||||
|
||||
if not task.done():
|
||||
task.cancel()
|
||||
|
||||
|
||||
async def my_cancel_with_timeout():
|
||||
task = asyncio.create_task(play_music("B"))
|
||||
|
||||
try:
|
||||
await asyncio.wait_for(task, timeout=2)
|
||||
except TimeoutError:
|
||||
print("timeout")
|
||||
|
||||
|
||||
async def my_timeout():
|
||||
task = asyncio.create_task(play_music("B"))
|
||||
|
||||
try:
|
||||
await asyncio.wait_for(asyncio.shield(task), timeout=2)
|
||||
except TimeoutError:
|
||||
print("timeout")
|
||||
await task
|
||||
|
||||
|
||||
async def my_gather():
|
||||
results = await asyncio.gather(play_music("A"), play_music("B"))
|
||||
print(results)
|
||||
|
||||
|
||||
async def my_gather_with_exception():
|
||||
results = await asyncio.gather(play_music("A"), play_music("B"), call_api(),
|
||||
return_exceptions=True)
|
||||
print(results)
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(my_gather_with_exception())
|
|
@ -0,0 +1,15 @@
|
|||
import asyncio
|
||||
|
||||
|
||||
async def calculate(n_1: int, n_2: int):
|
||||
res = n_1 + n_2
|
||||
print(res)
|
||||
|
||||
|
||||
async def main():
|
||||
print("main -step 1")
|
||||
await calculate(1, 2)
|
||||
print("main -step 2")
|
||||
|
||||
|
||||
asyncio.run(main())
|
|
@ -0,0 +1,28 @@
|
|||
import asyncio
|
||||
import time
|
||||
|
||||
|
||||
async def call_api(name: str, delay: float):
|
||||
print(f"{name} - step 1")
|
||||
await asyncio.sleep(delay)
|
||||
print(f"{name} - step 2")
|
||||
|
||||
|
||||
async def main():
|
||||
time_1 = time.perf_counter()
|
||||
print("start A coroutine")
|
||||
task_1 = asyncio.create_task(call_api("A", 2))
|
||||
|
||||
print("start B coroutine")
|
||||
task_2 = asyncio.create_task(call_api("B", 5))
|
||||
|
||||
await task_1
|
||||
print("task 1 completed")
|
||||
await task_2
|
||||
print("task 2 completed")
|
||||
|
||||
time_2 = time.perf_counter()
|
||||
print(f"Spent {time_2 - time_1}")
|
||||
|
||||
|
||||
asyncio.run(main())
|
|
@ -0,0 +1,52 @@
|
|||
class MyDecorator:
|
||||
def __init__(self, f):
|
||||
self.f = f
|
||||
|
||||
def __call__(self, *args, **kwargs):
|
||||
print("start")
|
||||
result = self.f(*args, **kwargs)
|
||||
print("end")
|
||||
return result
|
||||
|
||||
|
||||
class ParamDecorator:
|
||||
def __init__(self, name):
|
||||
self.name = name
|
||||
|
||||
def __call__(self, f):
|
||||
def wrap(*args):
|
||||
print(f"start {self.name}")
|
||||
result = f(*args)
|
||||
print("end")
|
||||
return result
|
||||
|
||||
return wrap
|
||||
|
||||
|
||||
@ParamDecorator("Jack")
|
||||
def test():
|
||||
print("test")
|
||||
return 200
|
||||
|
||||
|
||||
print(test())
|
||||
|
||||
|
||||
def cls_decorator(cls):
|
||||
print("start class decorator")
|
||||
|
||||
def inner():
|
||||
print("start")
|
||||
obj = cls()
|
||||
print("end")
|
||||
return obj
|
||||
|
||||
return inner
|
||||
|
||||
|
||||
@cls_decorator
|
||||
class Person:
|
||||
pass
|
||||
|
||||
p1 = Person()
|
||||
p2 = Person()
|
|
@ -0,0 +1,15 @@
|
|||
def greeting():
|
||||
message = "hello"
|
||||
value = 20
|
||||
|
||||
def inner():
|
||||
print(f'{value} - {message}')
|
||||
|
||||
message = "second"
|
||||
|
||||
return inner
|
||||
|
||||
|
||||
f = greeting()
|
||||
print(f.__closure__)
|
||||
f()
|
|
@ -0,0 +1,34 @@
|
|||
# instance = open("mydata.txt", "w")
|
||||
# instance.write("Hello this is a test file")
|
||||
# instance.close()
|
||||
|
||||
# with open("mydata.txt", "w") as instance:
|
||||
# instance.write("Hello this is a test file")
|
||||
#
|
||||
#
|
||||
# print("The end")
|
||||
import time
|
||||
|
||||
|
||||
class Timer:
|
||||
def __init__(self):
|
||||
self.elapsed = 0
|
||||
|
||||
def __enter__(self):
|
||||
self.start = time.perf_counter()
|
||||
return self
|
||||
|
||||
def __exit__(self, exc_type, exc_val, exc_tb):
|
||||
self.stop = time.perf_counter()
|
||||
self.elapsed = self.stop - self.start
|
||||
return False
|
||||
|
||||
|
||||
with Timer() as timer:
|
||||
nums = []
|
||||
for n in range(10000):
|
||||
nums.append(n ** 2)
|
||||
|
||||
print(timer.elapsed)
|
||||
|
||||
|
|
@ -0,0 +1,31 @@
|
|||
import operator
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
|
||||
@dataclass(order=True)
|
||||
class Student:
|
||||
sort_index: int = field(init=False, repr=False)
|
||||
|
||||
name: str
|
||||
age: int = 19
|
||||
independent: bool = field(default=False, init=False, repr=True)
|
||||
|
||||
def __post_init__(self):
|
||||
self.independent = self.age > 19
|
||||
self.sort_index = self.age
|
||||
|
||||
|
||||
s_1 = Student("Jack", 20)
|
||||
print(s_1)
|
||||
|
||||
s_2 = Student("Tom")
|
||||
print(s_2)
|
||||
|
||||
print(s_1 == s_2)
|
||||
|
||||
students = [s_2, s_1]
|
||||
sorted_students = sorted(students)
|
||||
print(sorted_students)
|
||||
|
||||
students.sort(key=operator.attrgetter('name'))
|
||||
print(students)
|
|
@ -0,0 +1,40 @@
|
|||
from functools import wraps
|
||||
|
||||
|
||||
# def welcome(fn):
|
||||
# @wraps(fn)
|
||||
# def wrapper(*args, **kwargs):
|
||||
# print("Welcome")
|
||||
# result = fn(*args, **kwargs)
|
||||
# return result
|
||||
#
|
||||
# return wrapper
|
||||
|
||||
def welcome(name):
|
||||
def decorator(fn):
|
||||
@wraps(fn)
|
||||
def wrapper(*args, **kwargs):
|
||||
print(f"Welcome {name}")
|
||||
result = fn(*args, **kwargs)
|
||||
return result
|
||||
|
||||
return wrapper
|
||||
return decorator
|
||||
|
||||
|
||||
@welcome("Tom")
|
||||
def my_fun(message: str):
|
||||
print(f"Hello {message}")
|
||||
|
||||
|
||||
@welcome("Mary")
|
||||
def my_fun_2():
|
||||
print("my fun 2")
|
||||
|
||||
|
||||
# f1 = welcome(my_fun)
|
||||
# f1("Jack")
|
||||
|
||||
my_fun("Jack")
|
||||
|
||||
print(my_fun.__name__)
|
|
@ -0,0 +1,29 @@
|
|||
def hello(): # an iteratable object
|
||||
print("step 1")
|
||||
yield 1
|
||||
print("step 2")
|
||||
yield 2
|
||||
print("step 3")
|
||||
yield 3
|
||||
|
||||
|
||||
def my_fun():
|
||||
result = []
|
||||
for n in range(3):
|
||||
result.append(n ** 2)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
g = hello()
|
||||
for res in g:
|
||||
print(res)
|
||||
|
||||
|
||||
def squares(count: int):
|
||||
for n in range(count):
|
||||
yield n ** 2
|
||||
|
||||
|
||||
for num in squares(3):
|
||||
print(num)
|
|
@ -0,0 +1,17 @@
|
|||
class Human(type):
|
||||
@staticmethod
|
||||
def __new__(mcs, *args, **kwargs):
|
||||
class_ = super().__new__(mcs, *args)
|
||||
# class_.freedom = True
|
||||
if kwargs:
|
||||
for name, value in kwargs.items():
|
||||
setattr(class_, name, value)
|
||||
return class_
|
||||
|
||||
|
||||
class Student(object, metaclass=Human, country="China", freedom=True):
|
||||
pass
|
||||
|
||||
|
||||
print(Student.country)
|
||||
print(Student.freedom)
|
|
@ -0,0 +1,49 @@
|
|||
class Prop:
|
||||
def __init__(self, attr):
|
||||
self._attr = f'_{attr}'
|
||||
|
||||
def get(self, obj):
|
||||
if not hasattr(obj, self._attr):
|
||||
return None
|
||||
|
||||
return getattr(obj, self._attr)
|
||||
|
||||
def set(self, obj, value):
|
||||
setattr(obj, self._attr, value)
|
||||
|
||||
|
||||
class Human(type):
|
||||
@staticmethod
|
||||
def __new__(mcs, *args, **kwargs):
|
||||
class_ = super().__new__(mcs, *args)
|
||||
for property_name in class_.props:
|
||||
prop = Prop(property_name)
|
||||
p_obj = property(fget=prop.get, fset=prop.set)
|
||||
setattr(class_, property_name, p_obj)
|
||||
|
||||
return class_
|
||||
|
||||
|
||||
class Student(object, metaclass=Human):
|
||||
props = ["name", "age"]
|
||||
|
||||
|
||||
def human(cls):
|
||||
return Human(cls.__name__, cls.__bases__, dict(cls.__dict__))
|
||||
|
||||
|
||||
@human
|
||||
class Man:
|
||||
props = ["name", "age"]
|
||||
|
||||
|
||||
man = Man()
|
||||
print(man.name)
|
||||
man.name = "Tom"
|
||||
print(man.name)
|
||||
|
||||
|
||||
student = Student()
|
||||
print(student.name)
|
||||
student.name = "Jack"
|
||||
print(student.name)
|
|
@ -0,0 +1,53 @@
|
|||
import json
|
||||
|
||||
|
||||
class MapMixin:
|
||||
def __getitem__(self, key):
|
||||
return self.__dict__[key]
|
||||
|
||||
def __setitem__(self, key, value):
|
||||
self.__dict__[key] = value
|
||||
|
||||
|
||||
class DictMixin:
|
||||
def to_dict(self):
|
||||
return self.__convert_dict(self.__dict__)
|
||||
|
||||
def __convert_dict(self, attrs: dict):
|
||||
result = {}
|
||||
for key, value in attrs.items():
|
||||
result[key] = self.__convert_value(value)
|
||||
|
||||
return result
|
||||
|
||||
def __convert_value(self, value):
|
||||
if isinstance(value, DictMixin):
|
||||
return value.to_dict()
|
||||
elif isinstance(value, dict):
|
||||
return self.__convert_dict(value)
|
||||
elif isinstance(value, list):
|
||||
return [self.__convert_value(v) for v in value]
|
||||
elif hasattr(value, '__dict__'):
|
||||
return self.__convert_dict(value.__dict__)
|
||||
else:
|
||||
return value
|
||||
|
||||
|
||||
class JSONMixin:
|
||||
def to_json(self):
|
||||
return json.dumps(self.to_dict())
|
||||
|
||||
|
||||
class Student(MapMixin, DictMixin, JSONMixin):
|
||||
def __init__(self, name, age):
|
||||
self.name = name
|
||||
self.age = age
|
||||
|
||||
# {"name": "Jack", "age": 20, "clasx": {"name": "class 9-1", "building": "A"}}
|
||||
|
||||
s = Student("Jack", 20)
|
||||
|
||||
print(s["name"])
|
||||
print(s.to_dict())
|
||||
print(s.to_json())
|
||||
|
|
@ -0,0 +1,42 @@
|
|||
import multiprocessing
|
||||
import time
|
||||
|
||||
|
||||
def task(name: str, count: int):
|
||||
print(f"{name} - start\n", end='')
|
||||
result = 0
|
||||
for n in range(count):
|
||||
result += n + 1
|
||||
# time.sleep(1)
|
||||
print(f"{name} - end with {result}")
|
||||
|
||||
|
||||
def start_process_1():
|
||||
process = multiprocessing.Process(target=task, args=["A", 100])
|
||||
|
||||
process.start()
|
||||
|
||||
process.join()
|
||||
|
||||
print("Main process over")
|
||||
|
||||
|
||||
def start_process_2():
|
||||
args_list = [("A", 1000000), ("B", 9900000), ("C", 98000)]
|
||||
processes = [multiprocessing.Process(target=task, args=[name, count]) for name, count in args_list]
|
||||
processes[0].start()
|
||||
processes[1].start()
|
||||
processes[1].join()
|
||||
|
||||
# for p in processes:
|
||||
# p.start()
|
||||
#
|
||||
# for p in processes:
|
||||
# p.join()
|
||||
|
||||
print("Main process over")
|
||||
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
start_process_2()
|
|
@ -0,0 +1,19 @@
|
|||
message = "module"
|
||||
|
||||
|
||||
def outer():
|
||||
message = "outer"
|
||||
|
||||
def inner():
|
||||
nonlocal message
|
||||
|
||||
message = "inner"
|
||||
print(message)
|
||||
|
||||
inner()
|
||||
print(message)
|
||||
|
||||
|
||||
outer()
|
||||
|
||||
print(message)
|
|
@ -0,0 +1,39 @@
|
|||
import os.path
|
||||
import time
|
||||
from concurrent.futures import ProcessPoolExecutor
|
||||
from urllib.request import urlopen, Request
|
||||
|
||||
|
||||
def download_img(url: str):
|
||||
site_url = Request(url, headers={"User-Agent": "Mozilla/5.0"})
|
||||
with urlopen(site_url) as web_file:
|
||||
img_data = web_file.read()
|
||||
|
||||
if not img_data:
|
||||
raise Exception(f"Error: cannot load the image from {url}")
|
||||
|
||||
file_name = os.path.basename(url)
|
||||
with open(file_name, 'wb') as file:
|
||||
file.write(img_data)
|
||||
|
||||
return f"Download image successfully, {url}"
|
||||
|
||||
|
||||
def main():
|
||||
with ProcessPoolExecutor() as executor:
|
||||
urls = [
|
||||
"https://cdn.pixabay.com/photo/2021/09/28/13/14/cat-6664412_1280.jpg",
|
||||
"https://cdn.pixabay.com/photo/2022/11/10/00/38/creative-7581718_640.jpg",
|
||||
"https://cdn.pixabay.com/photo/2022/11/19/11/53/rose-7601873_640.jpg",
|
||||
"https://cdn.pixabay.com/photo/2022/10/18/12/05/clouds-7530090_640.jpg"
|
||||
]
|
||||
|
||||
results = executor.map(download_img, urls)
|
||||
|
||||
for res in results:
|
||||
print(res)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -0,0 +1,51 @@
|
|||
import re
|
||||
|
||||
|
||||
def test_search():
|
||||
pattern = r"\d{2}"
|
||||
source = "I'm 80 years old."
|
||||
|
||||
result = re.search(pattern, source)
|
||||
print(result)
|
||||
|
||||
|
||||
def test_match():
|
||||
pattern = r"\d{2}"
|
||||
source = "80 years old."
|
||||
|
||||
result = re.match(pattern, source)
|
||||
print(result)
|
||||
|
||||
|
||||
def test_fullmatch():
|
||||
pattern = r"\d{2}"
|
||||
source = "809"
|
||||
|
||||
result = re.fullmatch(pattern, source)
|
||||
print(result)
|
||||
|
||||
|
||||
def test_findall():
|
||||
pattern = r"\d{2}"
|
||||
source = "8 09 aaa 89 laskdjf"
|
||||
|
||||
result = re.findall(pattern, source)
|
||||
print(result)
|
||||
|
||||
|
||||
def test_finditer():
|
||||
pattern = r"\d{2}"
|
||||
source = "8 09 aaa 89 laskdjf"
|
||||
|
||||
it = re.finditer(pattern, source)
|
||||
for rs in it:
|
||||
print(rs)
|
||||
|
||||
|
||||
def test_compile():
|
||||
pattern_str = r"\d{2}"
|
||||
pattern = re.compile(pattern_str)
|
||||
print(pattern.fullmatch("99"))
|
||||
|
||||
|
||||
test_compile()
|
|
@ -0,0 +1,35 @@
|
|||
def singleton(cls):
|
||||
_instance = {}
|
||||
|
||||
def inner(*args, **kwargs):
|
||||
if cls in _instance:
|
||||
return _instance[cls]
|
||||
|
||||
obj = cls(*args, **kwargs)
|
||||
_instance[cls] = obj
|
||||
|
||||
return obj
|
||||
|
||||
return inner
|
||||
|
||||
|
||||
class SingletonMeta(type):
|
||||
def __call__(cls, *args, **kwargs):
|
||||
if hasattr(cls, '_instance'):
|
||||
return getattr(cls, '_instance')
|
||||
|
||||
obj = super().__call__(*args, **kwargs)
|
||||
setattr(cls, '_instance', obj)
|
||||
|
||||
return obj
|
||||
|
||||
|
||||
# @singleton
|
||||
class Person(metaclass=SingletonMeta):
|
||||
pass
|
||||
|
||||
|
||||
p_1 = Person()
|
||||
p_2 = Person()
|
||||
|
||||
print(p_1 is p_2)
|
|
@ -0,0 +1,89 @@
|
|||
from threading import Thread, Lock, Condition
|
||||
|
||||
|
||||
task_lock = Lock()
|
||||
|
||||
|
||||
def task(name: str):
|
||||
global task_lock
|
||||
for n in range(2):
|
||||
task_lock.acquire()
|
||||
print(f"{name} - round {n} - step 1\n", end='')
|
||||
print(f"{name} - round {n} - step 2\n", end='')
|
||||
print(f"{name} - round {n} - step 3\n", end='')
|
||||
task_lock.release()
|
||||
|
||||
|
||||
t1 = Thread(target=task, args=("A",))
|
||||
t2 = Thread(target=task, args=("B",))
|
||||
t3 = Thread(target=task, args=("C",))
|
||||
|
||||
t1.start()
|
||||
t2.start()
|
||||
t3.start()
|
||||
|
||||
|
||||
class SafeQueue:
|
||||
def __init__(self, size: int):
|
||||
self.__item_list = list()
|
||||
self.size = size
|
||||
self.__item_lock = Condition()
|
||||
|
||||
def put(self, item):
|
||||
with self.__item_lock:
|
||||
while len(self.__item_list) >= self.size:
|
||||
self.__item_lock.wait()
|
||||
|
||||
self.__item_list.insert(0, item)
|
||||
self.__item_lock.notify_all()
|
||||
|
||||
def get(self):
|
||||
with self.__item_lock:
|
||||
while len(self.__item_list) == 0:
|
||||
self.__item_lock.wait()
|
||||
|
||||
result = self.__item_list.pop()
|
||||
self.__item_lock.notify_all()
|
||||
|
||||
return result
|
||||
|
||||
|
||||
class MsgProducer(Thread):
|
||||
def __init__(self, name: str, count: int, queue: SafeQueue):
|
||||
super().__init__()
|
||||
|
||||
self.setName(name)
|
||||
self.count = count
|
||||
self.queue = queue
|
||||
|
||||
def run(self) -> None:
|
||||
for n in range(self.count):
|
||||
msg = f"{self.getName()} - {n}"
|
||||
self.queue.put(msg)
|
||||
|
||||
|
||||
class MsgConsumer(Thread):
|
||||
def __init__(self, name: str, queue: SafeQueue):
|
||||
super().__init__()
|
||||
|
||||
self.setName(name)
|
||||
self.queue = queue
|
||||
self.setDaemon(True)
|
||||
|
||||
def run(self) -> None:
|
||||
while True:
|
||||
msg = self.queue.get()
|
||||
print(f"{self.getName()} - {msg}\n", end='')
|
||||
|
||||
|
||||
queue = SafeQueue(3)
|
||||
threads = list()
|
||||
threads.append(MsgProducer("PA", 10, queue))
|
||||
threads.append(MsgProducer("PB", 10, queue))
|
||||
threads.append(MsgProducer("PC", 10, queue))
|
||||
|
||||
threads.append(MsgConsumer("CA", queue))
|
||||
threads.append(MsgConsumer("CB", queue))
|
||||
|
||||
for t in threads:
|
||||
t.start()
|
|
@ -0,0 +1,55 @@
|
|||
import os.path
|
||||
import time
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
from urllib.request import urlopen, Request
|
||||
|
||||
|
||||
def task(name: str):
|
||||
print(f"{name} - step 1\n", end='')
|
||||
time.sleep(1)
|
||||
print(f"{name} - step 2\n", end='')
|
||||
|
||||
return f"{name} complete"
|
||||
|
||||
#
|
||||
# with ThreadPoolExecutor() as executor:
|
||||
# result_1 = executor.submit(task, 'A')
|
||||
# result_2 = executor.submit(task, 'B')
|
||||
#
|
||||
# print(result_1.result())
|
||||
# print(result_2.result())
|
||||
#
|
||||
# with ThreadPoolExecutor() as executor:
|
||||
# results = executor.map(task, ['C', 'D'])
|
||||
#
|
||||
# for r in results:
|
||||
# print(r)
|
||||
|
||||
|
||||
def download_img(url: str):
|
||||
site_url = Request(url, headers={"User-Agent": "Mozilla/5.0"})
|
||||
with urlopen(site_url) as web_file:
|
||||
img_data = web_file.read()
|
||||
|
||||
if not img_data:
|
||||
raise Exception(f"Error: cannot load the image from {url}")
|
||||
|
||||
file_name = os.path.basename(url)
|
||||
with open(file_name, 'wb') as file:
|
||||
file.write(img_data)
|
||||
|
||||
return f"Download image successfully, {url}"
|
||||
|
||||
|
||||
with ThreadPoolExecutor() as executor:
|
||||
urls = [
|
||||
"https://cdn.pixabay.com/photo/2021/09/28/13/14/cat-6664412_1280.jpg",
|
||||
"https://cdn.pixabay.com/photo/2022/11/10/00/38/creative-7581718_640.jpg",
|
||||
"https://cdn.pixabay.com/photo/2022/11/19/11/53/rose-7601873_640.jpg",
|
||||
"https://cdn.pixabay.com/photo/2022/10/18/12/05/clouds-7530090_640.jpg"
|
||||
]
|
||||
|
||||
results = executor.map(download_img, urls)
|
||||
|
||||
for res in results:
|
||||
print(res)
|
|
@ -0,0 +1,18 @@
|
|||
from threading import Thread
|
||||
|
||||
|
||||
def task(count: int):
|
||||
for n in range(count):
|
||||
print(n)
|
||||
|
||||
|
||||
thread1 = Thread(target=task, args=(10,))
|
||||
thread2 = Thread(target=task, args=(20,))
|
||||
|
||||
thread1.start()
|
||||
thread2.start()
|
||||
|
||||
thread1.join()
|
||||
thread2.join()
|
||||
|
||||
print("Main threads is end")
|
|
@ -0,0 +1,24 @@
|
|||
class Student:
|
||||
def greeting(self):
|
||||
print("Hello student")
|
||||
|
||||
|
||||
print(type(Student))
|
||||
print(isinstance(Student, type))
|
||||
|
||||
|
||||
class_body = """
|
||||
def greeting(self):
|
||||
print('Hello customer')
|
||||
|
||||
def jump(self):
|
||||
print('jump')
|
||||
"""
|
||||
class_dict = {}
|
||||
exec(class_body, globals(), class_dict)
|
||||
|
||||
Customer = type("Customer", (object,), class_dict)
|
||||
|
||||
c = Customer()
|
||||
c.greeting()
|
||||
c.jump()
|
|
@ -0,0 +1,17 @@
|
|||
count = 10
|
||||
|
||||
print(count)
|
||||
|
||||
|
||||
def greeting(flag: bool):
|
||||
global count
|
||||
if flag:
|
||||
count = 20
|
||||
|
||||
print(count)
|
||||
|
||||
|
||||
greeting(True)
|
||||
|
||||
print(count)
|
||||
|
|
@ -0,0 +1,69 @@
|
|||
def magic_number(exponent: int):
|
||||
for n in range(3):
|
||||
yield (n + 1) ** exponent
|
||||
|
||||
|
||||
def magic_data():
|
||||
yield from magic_number(2)
|
||||
yield from magic_number(3)
|
||||
|
||||
|
||||
# for n in magic_data():
|
||||
# print(n)
|
||||
|
||||
|
||||
def magic_two():
|
||||
exponent = yield 'Please give an exponent based on two'
|
||||
|
||||
while True:
|
||||
exponent = yield 2 ** exponent
|
||||
|
||||
if exponent is None:
|
||||
break
|
||||
|
||||
|
||||
# m = magic_two()
|
||||
# print(next(m))
|
||||
#
|
||||
# print(m.send(2))
|
||||
#
|
||||
# print(m.send(3))
|
||||
#
|
||||
# try:
|
||||
# m.send(None)
|
||||
# except StopIteration:
|
||||
# pass
|
||||
|
||||
|
||||
def magic_three():
|
||||
exponent = yield 'Please give an exponent based on three'
|
||||
|
||||
while True:
|
||||
exponent = yield 3 ** exponent
|
||||
|
||||
if exponent is None:
|
||||
break
|
||||
|
||||
|
||||
def magic_switch():
|
||||
option = yield 'Please choose, 1 - two, 2 - three'
|
||||
|
||||
while True:
|
||||
if option == 1:
|
||||
yield from magic_two()
|
||||
elif option == 2:
|
||||
yield from magic_three()
|
||||
else:
|
||||
break
|
||||
|
||||
|
||||
mm = magic_switch()
|
||||
print(next(mm))
|
||||
print(mm.send(2))
|
||||
print(mm.send(2))
|
||||
print(mm.send(3))
|
||||
try:
|
||||
mm.send(None)
|
||||
except StopIteration:
|
||||
pass
|
||||
|
|
@ -0,0 +1,19 @@
|
|||
# To get started with Dependabot version updates, you'll need to specify which
|
||||
# package ecosystems to update and where the package manifests are located.
|
||||
# Please see the documentation for all configuration options:
|
||||
# https://help.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
|
||||
|
||||
version: 2
|
||||
updates:
|
||||
|
||||
# Enable version updates for Python
|
||||
- package-ecosystem: "pip"
|
||||
directory: "/" # Location of package manifests
|
||||
schedule:
|
||||
interval: "daily"
|
||||
|
||||
# Enable version updates for Docker
|
||||
- package-ecosystem: "docker"
|
||||
directory: "/" # Location of package manifests
|
||||
schedule:
|
||||
interval: "daily"
|
|
@ -0,0 +1,140 @@
|
|||
### Python template
|
||||
# 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
|
||||
|
||||
# PEP 582; used by e.g. github.com/David-OConnor/pyflow
|
||||
__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/
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
# Creating Real-Time Charts with FastAPI
|
||||
|
||||
Sample application for the blog [Creating Real-Time Charts with FastAPI](https://ron.sh/creating-real-time-charts-with-fastapi/)
|
||||
|
||||
## Demo
|
||||
|
||||
Go to https://fastapi.ron.sh/ to see this in action.
|
||||
|
||||
## Build and run
|
||||
|
||||
```bash
|
||||
docker-compose build
|
||||
docker-compose up # or "docker-compose up -d" to run in detached mode
|
||||
```
|
||||
|
||||
Open http://127.0.0.1:5000/ in browser
|
||||
|
||||
## Author
|
||||
|
||||
[Ronie Martinez](mailto:ronmarti18@gmail.com)
|
||||
|
||||
## References
|
||||
|
||||
- [Creating Real-Time Charts with Flask](https://github.com/roniemartinez/real-time-charts-with-flask)
|
|
@ -0,0 +1,54 @@
|
|||
import asyncio
|
||||
import json
|
||||
import logging
|
||||
import random
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from typing import Iterator
|
||||
|
||||
from fastapi import FastAPI
|
||||
from fastapi.requests import Request
|
||||
from fastapi.responses import HTMLResponse, StreamingResponse
|
||||
from fastapi.templating import Jinja2Templates
|
||||
from starlette.responses import Response
|
||||
|
||||
logging.basicConfig(stream=sys.stdout, level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s")
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
application = FastAPI()
|
||||
templates = Jinja2Templates(directory="templates")
|
||||
random.seed() # Initialize the random number generator
|
||||
|
||||
|
||||
@application.get("/", response_class=HTMLResponse)
|
||||
async def index(request: Request) -> Response:
|
||||
return templates.TemplateResponse("index.html", {"request": request})
|
||||
|
||||
|
||||
async def generate_random_data(request: Request) -> Iterator[str]:
|
||||
"""
|
||||
Generates random value between 0 and 100
|
||||
|
||||
:return: String containing current timestamp (YYYY-mm-dd HH:MM:SS) and randomly generated data.
|
||||
"""
|
||||
client_ip = request.client.host
|
||||
|
||||
logger.info("Client %s connected", client_ip)
|
||||
|
||||
while True:
|
||||
json_data = json.dumps(
|
||||
{
|
||||
"time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
|
||||
"value": random.random() * 100,
|
||||
}
|
||||
)
|
||||
yield f"data:{json_data}\n\n"
|
||||
await asyncio.sleep(1)
|
||||
|
||||
|
||||
@application.get("/chart-data")
|
||||
async def chart_data(request: Request) -> StreamingResponse:
|
||||
response = StreamingResponse(generate_random_data(request), media_type="text/event-stream")
|
||||
response.headers["Cache-Control"] = "no-cache"
|
||||
response.headers["X-Accel-Buffering"] = "no"
|
||||
return response
|
|
@ -0,0 +1,11 @@
|
|||
version: "3.8"
|
||||
|
||||
services:
|
||||
web:
|
||||
build: .
|
||||
image: real-time-charts-with-fastapi
|
||||
command: uvicorn application:application --reload --host 0.0.0.0 --port 5000
|
||||
volumes:
|
||||
- .:/code
|
||||
ports:
|
||||
- "127.0.0.1:5000:5000"
|
|
@ -0,0 +1,910 @@
|
|||
# This file is automatically @generated by Poetry and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "3.6.2"
|
||||
description = "High level compatibility layer for multiple asynchronous event loop implementations"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.6.2"
|
||||
files = [
|
||||
{file = "anyio-3.6.2-py3-none-any.whl", hash = "sha256:fbbe32bd270d2a2ef3ed1c5d45041250284e31fc0a4df4a5a6071842051a51e3"},
|
||||
{file = "anyio-3.6.2.tar.gz", hash = "sha256:25ea0d673ae30af41a0c442f81cf3b38c7e79fdc7b60335a4c14e05eb0947421"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
idna = ">=2.8"
|
||||
sniffio = ">=1.1"
|
||||
typing-extensions = {version = "*", markers = "python_version < \"3.8\""}
|
||||
|
||||
[package.extras]
|
||||
doc = ["packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
|
||||
test = ["contextlib2", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
|
||||
trio = ["trio (>=0.16,<0.22)"]
|
||||
|
||||
[[package]]
|
||||
name = "autoflake"
|
||||
version = "1.7.8"
|
||||
description = "Removes unused imports and unused variables"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "autoflake-1.7.8-py3-none-any.whl", hash = "sha256:46373ef69b6714f5064c923bb28bd797c4f8a9497f557d87fc36665c6d956b39"},
|
||||
{file = "autoflake-1.7.8.tar.gz", hash = "sha256:e7e46372dee46fa1c97acf310d99d922b63d369718a270809d7c278d34a194cf"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
pyflakes = ">=1.1.0,<3"
|
||||
tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
|
||||
|
||||
[[package]]
|
||||
name = "black"
|
||||
version = "23.1.0"
|
||||
description = "The uncompromising code formatter."
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "black-23.1.0-cp310-cp310-macosx_10_16_arm64.whl", hash = "sha256:b6a92a41ee34b883b359998f0c8e6eb8e99803aa8bf3123bf2b2e6fec505a221"},
|
||||
{file = "black-23.1.0-cp310-cp310-macosx_10_16_universal2.whl", hash = "sha256:57c18c5165c1dbe291d5306e53fb3988122890e57bd9b3dcb75f967f13411a26"},
|
||||
{file = "black-23.1.0-cp310-cp310-macosx_10_16_x86_64.whl", hash = "sha256:9880d7d419bb7e709b37e28deb5e68a49227713b623c72b2b931028ea65f619b"},
|
||||
{file = "black-23.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e6663f91b6feca5d06f2ccd49a10f254f9298cc1f7f49c46e498a0771b507104"},
|
||||
{file = "black-23.1.0-cp310-cp310-win_amd64.whl", hash = "sha256:9afd3f493666a0cd8f8df9a0200c6359ac53940cbde049dcb1a7eb6ee2dd7074"},
|
||||
{file = "black-23.1.0-cp311-cp311-macosx_10_16_arm64.whl", hash = "sha256:bfffba28dc52a58f04492181392ee380e95262af14ee01d4bc7bb1b1c6ca8d27"},
|
||||
{file = "black-23.1.0-cp311-cp311-macosx_10_16_universal2.whl", hash = "sha256:c1c476bc7b7d021321e7d93dc2cbd78ce103b84d5a4cf97ed535fbc0d6660648"},
|
||||
{file = "black-23.1.0-cp311-cp311-macosx_10_16_x86_64.whl", hash = "sha256:382998821f58e5c8238d3166c492139573325287820963d2f7de4d518bd76958"},
|
||||
{file = "black-23.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bf649fda611c8550ca9d7592b69f0637218c2369b7744694c5e4902873b2f3a"},
|
||||
{file = "black-23.1.0-cp311-cp311-win_amd64.whl", hash = "sha256:121ca7f10b4a01fd99951234abdbd97728e1240be89fde18480ffac16503d481"},
|
||||
{file = "black-23.1.0-cp37-cp37m-macosx_10_16_x86_64.whl", hash = "sha256:a8471939da5e824b891b25751955be52ee7f8a30a916d570a5ba8e0f2eb2ecad"},
|
||||
{file = "black-23.1.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8178318cb74f98bc571eef19068f6ab5613b3e59d4f47771582f04e175570ed8"},
|
||||
{file = "black-23.1.0-cp37-cp37m-win_amd64.whl", hash = "sha256:a436e7881d33acaf2536c46a454bb964a50eff59b21b51c6ccf5a40601fbef24"},
|
||||
{file = "black-23.1.0-cp38-cp38-macosx_10_16_arm64.whl", hash = "sha256:a59db0a2094d2259c554676403fa2fac3473ccf1354c1c63eccf7ae65aac8ab6"},
|
||||
{file = "black-23.1.0-cp38-cp38-macosx_10_16_universal2.whl", hash = "sha256:0052dba51dec07ed029ed61b18183942043e00008ec65d5028814afaab9a22fd"},
|
||||
{file = "black-23.1.0-cp38-cp38-macosx_10_16_x86_64.whl", hash = "sha256:49f7b39e30f326a34b5c9a4213213a6b221d7ae9d58ec70df1c4a307cf2a1580"},
|
||||
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||||
{file = "websockets-10.4-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4c6d2264f485f0b53adf22697ac11e261ce84805c232ed5dbe6b1bcb84b00ff0"},
|
||||
{file = "websockets-10.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9bc42e8402dc5e9905fb8b9649f57efcb2056693b7e88faa8fb029256ba9c68c"},
|
||||
{file = "websockets-10.4-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:edc344de4dac1d89300a053ac973299e82d3db56330f3494905643bb68801269"},
|
||||
{file = "websockets-10.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:84bc2a7d075f32f6ed98652db3a680a17a4edb21ca7f80fe42e38753a58ee02b"},
|
||||
{file = "websockets-10.4-cp39-cp39-win32.whl", hash = "sha256:c94ae4faf2d09f7c81847c63843f84fe47bf6253c9d60b20f25edfd30fb12588"},
|
||||
{file = "websockets-10.4-cp39-cp39-win_amd64.whl", hash = "sha256:bbccd847aa0c3a69b5f691a84d2341a4f8a629c6922558f2a70611305f902d74"},
|
||||
{file = "websockets-10.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:82ff5e1cae4e855147fd57a2863376ed7454134c2bf49ec604dfe71e446e2193"},
|
||||
{file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d210abe51b5da0ffdbf7b43eed0cfdff8a55a1ab17abbec4301c9ff077dd0342"},
|
||||
{file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:942de28af58f352a6f588bc72490ae0f4ccd6dfc2bd3de5945b882a078e4e179"},
|
||||
{file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9b27d6c1c6cd53dc93614967e9ce00ae7f864a2d9f99fe5ed86706e1ecbf485"},
|
||||
{file = "websockets-10.4-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:3d3cac3e32b2c8414f4f87c1b2ab686fa6284a980ba283617404377cd448f631"},
|
||||
{file = "websockets-10.4-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:da39dd03d130162deb63da51f6e66ed73032ae62e74aaccc4236e30edccddbb0"},
|
||||
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|
||||
{file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09a1814bb15eff7069e51fed0826df0bc0702652b5cb8f87697d469d79c23576"},
|
||||
{file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff64a1d38d156d429404aaa84b27305e957fd10c30e5880d1765c9480bea490f"},
|
||||
{file = "websockets-10.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b343f521b047493dc4022dd338fc6db9d9282658862756b4f6fd0e996c1380e1"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:932af322458da7e4e35df32f050389e13d3d96b09d274b22a7aa1808f292fee4"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a4162139374a49eb18ef5b2f4da1dd95c994588f5033d64e0bbfda4b6b6fcf"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c57e4c1349fbe0e446c9fa7b19ed2f8a4417233b6984277cce392819123142d3"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b627c266f295de9dea86bd1112ed3d5fafb69a348af30a2422e16590a8ecba13"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:05a7233089f8bd355e8cbe127c2e8ca0b4ea55467861906b80d2ebc7db4d6b72"},
|
||||
{file = "websockets-10.4.tar.gz", hash = "sha256:eef610b23933c54d5d921c92578ae5f89813438fded840c2e9809d378dc765d3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "zipp"
|
||||
version = "3.11.0"
|
||||
description = "Backport of pathlib-compatible object wrapper for zip files"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "zipp-3.11.0-py3-none-any.whl", hash = "sha256:83a28fcb75844b5c0cdaf5aa4003c2d728c77e05f5aeabe8e95e56727005fbaa"},
|
||||
{file = "zipp-3.11.0.tar.gz", hash = "sha256:a7a22e05929290a67401440b39690ae6563279bced5f314609d9d03798f56766"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)"]
|
||||
testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.7"
|
||||
content-hash = "27c095296acff94df7265a00ecff7b5a29a8fa6512e0f46678c4bea6c320f67e"
|
|
@ -0,0 +1,50 @@
|
|||
[tool.poetry]
|
||||
name = "real-time-charts-with-fastapi"
|
||||
version = "0.2.1"
|
||||
description = "Sample application for the blog Creating Real-Time Charts with FastAPI"
|
||||
authors = ["Ronie Martinez <ronmarti18@gmail.com>"]
|
||||
license = "MIT"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.7"
|
||||
fastapi = "^0.92.0"
|
||||
Jinja2 = "^3.1.2"
|
||||
uvicorn = { extras = ["standard"], version = "^0.20.0" }
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
autoflake = "^1.7"
|
||||
black = "^23.1.0"
|
||||
isort = "^5.11.5"
|
||||
mypy = "^1.0"
|
||||
pyproject-flake8 = "^5.0.4"
|
||||
|
||||
[tool.isort]
|
||||
line_length = 120
|
||||
multi_line_output = 3
|
||||
force_grid_wrap = 0
|
||||
use_parentheses = true
|
||||
include_trailing_comma = true
|
||||
ensure_newline_before_comments = true
|
||||
atomic = true
|
||||
|
||||
[tool.black]
|
||||
line-length = 120
|
||||
target-version = ['py39']
|
||||
include = '\.pyi?$'
|
||||
extend-exclude = """
|
||||
# A regex preceded with ^/ will apply only to files and directories
|
||||
# in the root of the project.
|
||||
^/setup.py
|
||||
"""
|
||||
|
||||
[tool.mypy]
|
||||
disallow_untyped_defs = true
|
||||
ignore_missing_imports = true
|
||||
|
||||
[tool.flake8]
|
||||
max-line-length = 120
|
||||
extend-ignore = ["E203"]
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core>=1.0.0"]
|
||||
build-backend = "poetry.core.masonry.api"
|
|
@ -0,0 +1,105 @@
|
|||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<title>Creating Real-Time Charts with FastAPI</title>
|
||||
<!--suppress JSUnresolvedLibraryURL -->
|
||||
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.6.1/css/bootstrap.min.css"
|
||||
integrity="sha512-T584yQ/tdRR5QwOpfvDfVQUidzfgc2339Lc8uBDtcp/wYu80d7jwBgAxbyMh0a9YM9F8N3tdErpFI8iaGx6x5g=="
|
||||
crossorigin="anonymous" referrerpolicy="no-referrer"/>
|
||||
<!--suppress JSUnresolvedLibraryURL -->
|
||||
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.4/Chart.min.css"
|
||||
integrity="sha512-/zs32ZEJh+/EO2N1b0PEdoA10JkdC3zJ8L5FTiQu82LR9S/rOQNfQN7U59U9BC12swNeRAz3HSzIL2vpp4fv3w=="
|
||||
crossorigin="anonymous" referrerpolicy="no-referrer"/>
|
||||
</head>
|
||||
<body>
|
||||
<div class="container">
|
||||
<div class="row">
|
||||
<div class="col-12">
|
||||
<div class="card">
|
||||
<div class="card-body">
|
||||
<canvas id="canvas"></canvas>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<!--suppress JSUnresolvedLibraryURL -->
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.6.0/jquery.min.js"
|
||||
integrity="sha512-894YE6QWD5I59HgZOGReFYm4dnWc1Qt5NtvYSaNcOP+u1T9qYdvdihz0PPSiiqn/+/3e7Jo4EaG7TubfWGUrMQ=="
|
||||
crossorigin="anonymous" referrerpolicy="no-referrer"></script>
|
||||
<!--suppress JSUnresolvedLibraryURL -->
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/4.6.1/js/bootstrap.bundle.min.js"
|
||||
integrity="sha512-mULnawDVcCnsk9a4aG1QLZZ6rcce/jSzEGqUkeOLy0b6q0+T6syHrxlsAGH7ZVoqC93Pd0lBqd6WguPWih7VHA=="
|
||||
crossorigin="anonymous" referrerpolicy="no-referrer"></script>
|
||||
<!--suppress JSUnresolvedLibraryURL -->
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.9.4/Chart.min.js"
|
||||
integrity="sha512-d9xgZrVZpmmQlfonhQUvTR7lMPtO7NkZMkA0ABN3PHCbKA5nqylQ/yWlFAyY6hYgdF1Qh6nYiuADWwKB4C2WSw=="
|
||||
crossorigin="anonymous" referrerpolicy="no-referrer"></script>
|
||||
<script>
|
||||
$(document).ready(function () {
|
||||
const config = {
|
||||
type: 'line',
|
||||
data: {
|
||||
labels: Array(30).fill("0000-00-00 00:00:00"),
|
||||
datasets: [{
|
||||
label: "Random Dataset",
|
||||
backgroundColor: 'rgb(255, 99, 132)',
|
||||
borderColor: 'rgb(255, 99, 132)',
|
||||
data: Array(30).fill(null),
|
||||
fill: false,
|
||||
}],
|
||||
},
|
||||
options: {
|
||||
responsive: true,
|
||||
title: {
|
||||
display: true,
|
||||
text: 'Creating Real-Time Charts with FastAPI'
|
||||
},
|
||||
tooltips: {
|
||||
mode: 'index',
|
||||
intersect: false,
|
||||
},
|
||||
hover: {
|
||||
mode: 'nearest',
|
||||
intersect: true
|
||||
},
|
||||
scales: {
|
||||
xAxes: [{
|
||||
display: true,
|
||||
scaleLabel: {
|
||||
display: true,
|
||||
labelString: 'Time'
|
||||
}
|
||||
}],
|
||||
yAxes: [{
|
||||
display: true,
|
||||
scaleLabel: {
|
||||
display: true,
|
||||
labelString: 'Value'
|
||||
}
|
||||
}]
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const context = document.getElementById('canvas').getContext('2d');
|
||||
|
||||
const lineChart = new Chart(context, config);
|
||||
|
||||
const source = new EventSource("/chart-data");
|
||||
|
||||
source.onmessage = function (event) {
|
||||
const data = JSON.parse(event.data);
|
||||
if (config.data.labels.length === 30) {
|
||||
config.data.labels.shift();
|
||||
config.data.datasets[0].data.shift();
|
||||
}
|
||||
config.data.labels.push(data.time);
|
||||
config.data.datasets[0].data.push(data.value);
|
||||
lineChart.update();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
11
test.py
|
@ -1,11 +0,0 @@
|
|||
import pandas as pd
|
||||
|
||||
|
||||
data = {
|
||||
"name": ["a1", "a2", "a3"],
|
||||
"age": [50, 60, 70]
|
||||
}
|
||||
|
||||
df = pd.DataFrame(data, index = ["c1", "c2", "c3"])
|
||||
|
||||
print(df)
|
|
@ -0,0 +1,39 @@
|
|||
# Run this app with `python app.py` and
|
||||
# visit http://127.0.0.1:8050/ in your web browser.
|
||||
|
||||
import dash
|
||||
import dash_core_components as dcc
|
||||
import dash_html_components as html
|
||||
import plotly.express as px
|
||||
import pandas as pd
|
||||
|
||||
#external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
|
||||
|
||||
#app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
|
||||
app = dash.Dash(__name__)
|
||||
|
||||
# assume you have a "long-form" data frame
|
||||
# see https://plotly.com/python/px-arguments/ for more options
|
||||
df = pd.DataFrame({
|
||||
"Fruit": ["Apples", "Oranges", "Bananas", "Apples", "Oranges", "Bananas"],
|
||||
"Amount": [4, 1, 2, 2, 4, 5],
|
||||
"City": ["SF", "SF", "SF", "Montreal", "Montreal", "Montreal"]
|
||||
})
|
||||
|
||||
fig = px.bar(df, x="Fruit", y="Amount", color="City", barmode="group")
|
||||
|
||||
app.layout = html.Div(children=[
|
||||
html.H1(children='Hello Dash'),
|
||||
|
||||
html.Div(children='''
|
||||
Dash: A web application framework for Python.
|
||||
'''),
|
||||
|
||||
dcc.Graph(
|
||||
id='example-graph',
|
||||
figure=fig
|
||||
)
|
||||
])
|
||||
|
||||
if __name__ == '__main__':
|
||||
app.run_server(debug=True)
|
|
@ -0,0 +1,11 @@
|
|||
import pandas as pd
|
||||
|
||||
chipo = pd.read_csv("chipotle.tsv", sep = '\t')
|
||||
print(chipo.head(10),chipo.shape[1])
|
||||
|
||||
c = chipo[['item_name','quantity']].groupby(['item_name'],as_index=False).agg({'quantity':sum})
|
||||
|
||||
c.sort_values(['quantity'],ascending=False,inplace=True)
|
||||
|
||||
c.head()
|
||||
|
Before Width: | Height: | Size: 232 KiB After Width: | Height: | Size: 232 KiB |
Before Width: | Height: | Size: 341 KiB After Width: | Height: | Size: 341 KiB |
Before Width: | Height: | Size: 220 KiB After Width: | Height: | Size: 220 KiB |
Before Width: | Height: | Size: 226 KiB After Width: | Height: | Size: 226 KiB |
Before Width: | Height: | Size: 228 KiB After Width: | Height: | Size: 228 KiB |
Before Width: | Height: | Size: 222 KiB After Width: | Height: | Size: 222 KiB |
|
@ -0,0 +1,15 @@
|
|||
import pandas as pd
|
||||
pop = pd.read_csv('.\state-population.csv')
|
||||
areas = pd.read_csv('.\state-areas.csv')
|
||||
abbrevs = pd.read_csv('.\state-abbrevs.csv')
|
||||
print(pop.head())
|
||||
print(areas.head())
|
||||
print(abbrevs.head())
|
||||
|
||||
merged = pd.merge(pop, abbrevs, how='outer', left_on='state/region', right_on='abbreviation')
|
||||
print(merged.head(3))
|
||||
merged = merged.drop('abbreviation', 1) # 丢弃重复信息
|
||||
merged.head()
|
||||
|
||||
print("merged.isnull().any()",merged.isnull().any())
|
||||
print(merged[merged['population'].isnull()].head())
|
|
@ -0,0 +1,22 @@
|
|||
import pandas as pd
|
||||
pop = pd.read_csv('.\state-population.csv')
|
||||
areas = pd.read_csv('.\state-areas.csv')
|
||||
abbrevs = pd.read_csv('.\state-abbrevs.csv')
|
||||
# print(pop.head())
|
||||
# print(areas.head())
|
||||
# print(abbrevs.head())
|
||||
df = pd.DataFrame(pop)
|
||||
a1 = df[df.population > 1125763]
|
||||
a2 = df.drop_duplicates()
|
||||
a3 = df.nsmallest(2, 'population')
|
||||
a4 = df.drop(columns=['population'])
|
||||
a5 = df.query('population == 1117489')
|
||||
a6 = df.iloc[10:20]
|
||||
a7 = df.loc[df['population'] > 10,['population', 'ages']]
|
||||
a8 = df.iat[1, 2]
|
||||
a9 = df.at[4, 'population']
|
||||
a10 =df['ages'].value_counts()
|
||||
a11 = df.assign(Area=lambda df: df.population*2)
|
||||
a12 = df.groupby(by="state/region")
|
||||
print(a12.agg(min))
|
||||
|
|
@ -0,0 +1,52 @@
|
|||
"state","abbreviation"
|
||||
"Alabama","AL"
|
||||
"Alaska","AK"
|
||||
"Arizona","AZ"
|
||||
"Arkansas","AR"
|
||||
"California","CA"
|
||||
"Colorado","CO"
|
||||
"Connecticut","CT"
|
||||
"Delaware","DE"
|
||||
"District of Columbia","DC"
|
||||
"Florida","FL"
|
||||
"Georgia","GA"
|
||||
"Hawaii","HI"
|
||||
"Idaho","ID"
|
||||
"Illinois","IL"
|
||||
"Indiana","IN"
|
||||
"Iowa","IA"
|
||||
"Kansas","KS"
|
||||
"Kentucky","KY"
|
||||
"Louisiana","LA"
|
||||
"Maine","ME"
|
||||
"Montana","MT"
|
||||
"Nebraska","NE"
|
||||
"Nevada","NV"
|
||||
"New Hampshire","NH"
|
||||
"New Jersey","NJ"
|
||||
"New Mexico","NM"
|
||||
"New York","NY"
|
||||
"North Carolina","NC"
|
||||
"North Dakota","ND"
|
||||
"Ohio","OH"
|
||||
"Oklahoma","OK"
|
||||
"Oregon","OR"
|
||||
"Maryland","MD"
|
||||
"Massachusetts","MA"
|
||||
"Michigan","MI"
|
||||
"Minnesota","MN"
|
||||
"Mississippi","MS"
|
||||
"Missouri","MO"
|
||||
"Pennsylvania","PA"
|
||||
"Rhode Island","RI"
|
||||
"South Carolina","SC"
|
||||
"South Dakota","SD"
|
||||
"Tennessee","TN"
|
||||
"Texas","TX"
|
||||
"Utah","UT"
|
||||
"Vermont","VT"
|
||||
"Virginia","VA"
|
||||
"Washington","WA"
|
||||
"West Virginia","WV"
|
||||
"Wisconsin","WI"
|
||||
"Wyoming","WY"
|
|
|
@ -0,0 +1,53 @@
|
|||
state,area (sq. mi)
|
||||
Alabama,52423
|
||||
Alaska,656425
|
||||
Arizona,114006
|
||||
Arkansas,53182
|
||||
California,163707
|
||||
Colorado,104100
|
||||
Connecticut,5544
|
||||
Delaware,1954
|
||||
Florida,65758
|
||||
Georgia,59441
|
||||
Hawaii,10932
|
||||
Idaho,83574
|
||||
Illinois,57918
|
||||
Indiana,36420
|
||||
Iowa,56276
|
||||
Kansas,82282
|
||||
Kentucky,40411
|
||||
Louisiana,51843
|
||||
Maine,35387
|
||||
Maryland,12407
|
||||
Massachusetts,10555
|
||||
Michigan,96810
|
||||
Minnesota,86943
|
||||
Mississippi,48434
|
||||
Missouri,69709
|
||||
Montana,147046
|
||||
Nebraska,77358
|
||||
Nevada,110567
|
||||
New Hampshire,9351
|
||||
New Jersey,8722
|
||||
New Mexico,121593
|
||||
New York,54475
|
||||
North Carolina,53821
|
||||
North Dakota,70704
|
||||
Ohio,44828
|
||||
Oklahoma,69903
|
||||
Oregon,98386
|
||||
Pennsylvania,46058
|
||||
Rhode Island,1545
|
||||
South Carolina,32007
|
||||
South Dakota,77121
|
||||
Tennessee,42146
|
||||
Texas,268601
|
||||
Utah,84904
|
||||
Vermont,9615
|
||||
Virginia,42769
|
||||
Washington,71303
|
||||
West Virginia,24231
|
||||
Wisconsin,65503
|
||||
Wyoming,97818
|
||||
District of Columbia,68
|
||||
Puerto Rico,3515
|
|