如何让 Flask 应用通过 URL 输入解析 JSON？即：website/RedMango 打开一个 RedMango JSON 对象的页面
How to make a Flask app parse JSON by URL input? ie: website/RedMango opens a page of a RedMango JSON object
为了澄清问题，使用 Flask URL converter how would one parse the json at this website by entering a url such as: https://ds-med-cabinet.herokuapp.com/strainjson/Purple-Kush 以便当用户访问 /Purple-Kush 网站时仅显示 json 对象？本网站仅用于构建一个 API 用于教育目的，因此我将不胜感激任何有关通过 URL 输入解析整个 json 的任何想法，很可能使用 Flask URL 转换器或任何其他实用方法。非常感谢您的时间和考虑。这是我试过的代码，作为 Flask URL 转换器文档的模型：
# Directory.py
# Import
from os import path
import pandas as pd
from flask import Blueprint, render_template
from werkzeug.routing import BaseConverter
# Make Blueprint for __init__.py
Directory = Blueprint("Directory", __name__)
# Import Leafly csv
file_name = path.join(path.dirname(__file__), "Leafly.csv")
df = pd.read_csv(file_name)
strains = df['Strain']
# Custom converter
class ListConverter(BaseConverter):
def to_python(self, value):
return value.split('+')
def to_url(self, values):
return '+'.join(BaseConverter.to_url(value)
for value in values)
# Flask Url-converter
@Directory.route('/<strain>')
def strain_url(strain):
"""Show the json object for the given strain."""
strain = []
for strain in strains:
strain
return render_template('json.html', strain=strain)
# __init__.py
# Imports
from flask import Flask
from web_app.routes.Directory import Directory, ListConverter
from web_app.routes.GET_PUT_API import GET_PUT_API
# Create Flask app
def create_app():
app = Flask(__name__)
app.register_blueprint(Directory)
app.register_blueprint(GET_PUT_API)
app.url_map.converters['list'] = ListConverter
return app
if __name__ == "__main__":
my_app = create_app()
my_app.run(debug=True)
for 循环中的菌株是来自数据的 csv 版本的每个菌株的列表，正在渲染的 json.html 是 html 对象的 json 文件正在 this website 渲染。此代码和 /whateveristypedintheurl 只是呈现网站上共享的所有数据（因为 html 文件已经充满了 json 对象，并且没有任何内容被解析）。再次感谢您查看此内容。
Ps。如果尝试通过创建 Flask 应用程序来复制它，您可以找到 csv here 为 cannabis.csv（我将 named 切换为 Leafly.csv）并且您可以将 df 转换为 json 通过使用以下代码：
# dftojson.py
# Imports
from os import path
import csv
import json
file_path = r'C:\Users\johnj\OneDrive\Documents\Lambda\BuildWeek3\data-science\cannabis.csv'
csvfile = open(file_path, encoding="utf8")
jsonfile = open('cannabis.json', 'w')
fieldnames = ("Strain", "Type", "Rating", "Effects", "Flavor"," Description")
reader = csv.DictReader(csvfile, fieldnames)
for row in reader:
json.dump(row, jsonfile)
jsonfile.write('\n')
我将 cannabis.json 中的 json 复制并粘贴到一个新的 json.html 文件中（或者只是更改文件扩展名），然后像这样添加路由：
# Directory.py
# Strain JSON Page
@Directory.route("/strainjson")
def df():
return render_template("json.html")
如果我非常理解你的担忧，那么分为两部分：
(venv) C:\Python37\myapps\flask\cannabis>flask routes
Endpoint Methods Rule
------------------ ------- -----------------------------
api.index GET /api/
api.index GET /api/<list:cols>
api.index GET /api/<list:cols>/<list:terms>
- 与
pandas 一起读取 cannabis.csv 文件 (download) 您根据 list of columns combined[=81= 得到的数据过滤数据] 带有 可选 list of terms
目前 第 1 部分 已解决，我有点卡在 pandas
我已经尽力了，这就是我如何设置一个有效的 Flask 应用程序演示：
cannabis
.. cannabis
.... api
__init__.py
views.py
.... errors
__init__.py
views.py
.... __init__.py
.... cannabis.py
.... utils.py
.. tests
.. venv
.. cannabis.csv
.. .flaskenv
/.flaskenv
FLASK_APP=cannabis:create_app()
FLASK_ENV=development
FLASK_DEBUG=0
/cannabis/__init __.py
from .cannabis import create_app
/cannabis/cannabis.py
from flask import Flask
from .utils import ListConverter
def create_app():
"""Create a Flask application using the app factory pattern."""
app = Flask(__name__)
app.url_map.converters['list'] = ListConverter
"""Register blueprints."""
from .errors import bp as errors_bp
app.register_blueprint(errors_bp)
from .api import bp as api_bp
app.register_blueprint(api_bp, url_prefix='/api')
return app
/cannabis/utils.py
from werkzeug.routing import BaseConverter
class ListConverter(BaseConverter):
def to_python(self, values):
return values.split('+')
def to_url(self, values):
return '+'.join(value for value in values)
对于 to_url() 函数我认为你不需要 BaseConverter.to_url(value) 否则你会遇到错误：
[..]
File "C:\Python37\myapps\flask\cannabis\cannabis\utils.py", line 11, in <genexpr>
return '+'.join(BaseConverter.to_url(term) for term in terms)
TypeError: to_url() missing 1 required positional argument: 'value'
/cannabis/api/__init __.py
from .views import bp
/cannabis/api/views.py
from flask import Blueprint, jsonify
bp = Blueprint('api', __name__)
@bp.route('/', defaults={'cols': [], 'terms': []})
@bp.route('/<list:cols>', defaults={'terms': []})
@bp.route('/<list:cols>/<list:terms>')
def index(cols, terms):
cols_a = []
for col in cols:
if col: cols_a.append(col)
terms_a = []
for term in terms:
if term: terms_a.append(term)
# we need list of cols so we can filter data for list of terms within the list of cols
if not cols_a and terms_a:
return jsonify(message="Please choose at least one column")
kws = []
kws.append(cols_a)
kws.append(terms_a)
# form the moment just make sure we get the 2 lists/arrays
# then filter data with pandas using the combination of 2 lists then convert to json and return result
# .. WORKING ..
return jsonify(message="api index page", kws=kws)
/cannabis/errors/__init __.py
from .views import bp
/cannabis/errors/views.py
from flask import Blueprint, jsonify
from werkzeug.exceptions import HTTPException
bp = Blueprint('errors', __name__)
@bp.app_errorhandler(HTTPException)
def handle_exception(e):
return jsonify(code=e.code,
name=e.name,
description=e.description)
现在您可以 运行 Flask 应用并使用不同的 URL 进行一些测试：
no given columns and terms lists, default : return non-filtered data
http://localhost:5000/api/
{"kws":[[],[]],"message":"api index page"}
1 column is given , return data with only the give column
http://localhost:5000/api/Strain
{"kws":[["Strain"],[]],"message":"api index page"}
N columns are given , return data with only the give N columns
http://localhost:5000/api/Strain+Rating
{"kws":[["Strain","Rating"],[]],"message":"api index page"}
notice this url with extra optional '+', it works.
http://localhost:5000/api/Strain++++Rating++Flavor
{"kws":[["Strain","Rating","Flavor"],[]],"message":"api index page"}
N columns and M terms are given , return data with only the give N columns and filtered rows that contains M terms (CHECK how to use this with pandas)
http://localhost:5000/api/Strain++Rating++Flavor/Purple-Kush++5+++Blackberry+++
{"kws":[["Strain","Rating","Flavor"],["Purple-Kush","5" "Blackberry"]],"message":"api index page"}
notice this url when no column is given.
http://localhost:5000/api/+/Purple-Kush
{"message":"Please add at least one column"}
other url, return non-filtered data
http://localhost:5000/api/+++/+++
{"kws":[[],[]],"message":"api page"}
[..]
我会在完成实施后更新我的代码 pandas..
其他资源：
flask jsonify 对比 python json dumps：json.dumps vs flask.jsonify
这是我想到的。我是根据这篇文章构建的：Medium article on using CSV with Flask。例如，在 URL 本地，您可以键入 '
5Th-Element' 应该显示为 JSON 格式。在 return 上添加 jsonify 将有助于解决 API 问题。
import csv
from os import path
from flask import Flask, render_template, Blueprint, jsonify, json
# Make Blueprint for __init__.py
ParseURL = Blueprint("ParseURL", __name__)
# Import Leafly csv
file_name = path.join(path.dirname(__file__), "Leafly.csv")
# route to display single dictionary list item as JSON object
@APP.route('/<strain>')
def strain_url(strain):
'''
Parameters: name of strain from database as a string.
For loops the cannabis.csv file, creating a dictionary.
Returning only the strain that was given as a parameter.
'''
with open('cannabis.csv') as csv_file:
data = csv.reader(csv_file, delimiter=',')
dict_strain = {}
for row in data:
if row[0] == strain:
dict_strain = {
"strain": row[0],
"type": row[1],
"rating": row[2],
"effects": row[3],
"flavor": row[4],
"description": row[5]
}
break
return jsonify(dict_strain)
为了澄清问题，使用 Flask URL converter how would one parse the json at this website by entering a url such as: https://ds-med-cabinet.herokuapp.com/strainjson/Purple-Kush 以便当用户访问 /Purple-Kush 网站时仅显示 json 对象？本网站仅用于构建一个 API 用于教育目的，因此我将不胜感激任何有关通过 URL 输入解析整个 json 的任何想法，很可能使用 Flask URL 转换器或任何其他实用方法。非常感谢您的时间和考虑。这是我试过的代码，作为 Flask URL 转换器文档的模型：
# Directory.py
# Import
from os import path
import pandas as pd
from flask import Blueprint, render_template
from werkzeug.routing import BaseConverter
# Make Blueprint for __init__.py
Directory = Blueprint("Directory", __name__)
# Import Leafly csv
file_name = path.join(path.dirname(__file__), "Leafly.csv")
df = pd.read_csv(file_name)
strains = df['Strain']
# Custom converter
class ListConverter(BaseConverter):
def to_python(self, value):
return value.split('+')
def to_url(self, values):
return '+'.join(BaseConverter.to_url(value)
for value in values)
# Flask Url-converter
@Directory.route('/<strain>')
def strain_url(strain):
"""Show the json object for the given strain."""
strain = []
for strain in strains:
strain
return render_template('json.html', strain=strain)
# __init__.py
# Imports
from flask import Flask
from web_app.routes.Directory import Directory, ListConverter
from web_app.routes.GET_PUT_API import GET_PUT_API
# Create Flask app
def create_app():
app = Flask(__name__)
app.register_blueprint(Directory)
app.register_blueprint(GET_PUT_API)
app.url_map.converters['list'] = ListConverter
return app
if __name__ == "__main__":
my_app = create_app()
my_app.run(debug=True)
for 循环中的菌株是来自数据的 csv 版本的每个菌株的列表，正在渲染的 json.html 是 html 对象的 json 文件正在 this website 渲染。此代码和 /whateveristypedintheurl 只是呈现网站上共享的所有数据（因为 html 文件已经充满了 json 对象，并且没有任何内容被解析）。再次感谢您查看此内容。
Ps。如果尝试通过创建 Flask 应用程序来复制它，您可以找到 csv here 为 cannabis.csv（我将 named 切换为 Leafly.csv）并且您可以将 df 转换为 json 通过使用以下代码：
# dftojson.py
# Imports
from os import path
import csv
import json
file_path = r'C:\Users\johnj\OneDrive\Documents\Lambda\BuildWeek3\data-science\cannabis.csv'
csvfile = open(file_path, encoding="utf8")
jsonfile = open('cannabis.json', 'w')
fieldnames = ("Strain", "Type", "Rating", "Effects", "Flavor"," Description")
reader = csv.DictReader(csvfile, fieldnames)
for row in reader:
json.dump(row, jsonfile)
jsonfile.write('\n')
我将 cannabis.json 中的 json 复制并粘贴到一个新的 json.html 文件中（或者只是更改文件扩展名），然后像这样添加路由：
# Directory.py
# Strain JSON Page
@Directory.route("/strainjson")
def df():
return render_template("json.html")
如果我非常理解你的担忧，那么分为两部分：
(venv) C:\Python37\myapps\flask\cannabis>flask routes
Endpoint Methods Rule
------------------ ------- -----------------------------
api.index GET /api/
api.index GET /api/<list:cols>
api.index GET /api/<list:cols>/<list:terms>
- 与
pandas一起读取cannabis.csv文件 (download) 您根据list of columnscombined[=81= 得到的数据过滤数据] 带有 可选list of terms
目前 第 1 部分 已解决，我有点卡在 pandas
我已经尽力了，这就是我如何设置一个有效的 Flask 应用程序演示：
cannabis
.. cannabis
.... api
__init__.py
views.py
.... errors
__init__.py
views.py
.... __init__.py
.... cannabis.py
.... utils.py
.. tests
.. venv
.. cannabis.csv
.. .flaskenv
/.flaskenv
FLASK_APP=cannabis:create_app()
FLASK_ENV=development
FLASK_DEBUG=0
/cannabis/__init __.py
from .cannabis import create_app
/cannabis/cannabis.py
from flask import Flask
from .utils import ListConverter
def create_app():
"""Create a Flask application using the app factory pattern."""
app = Flask(__name__)
app.url_map.converters['list'] = ListConverter
"""Register blueprints."""
from .errors import bp as errors_bp
app.register_blueprint(errors_bp)
from .api import bp as api_bp
app.register_blueprint(api_bp, url_prefix='/api')
return app
/cannabis/utils.py
from werkzeug.routing import BaseConverter
class ListConverter(BaseConverter):
def to_python(self, values):
return values.split('+')
def to_url(self, values):
return '+'.join(value for value in values)
对于 to_url() 函数我认为你不需要 BaseConverter.to_url(value) 否则你会遇到错误：
[..]
File "C:\Python37\myapps\flask\cannabis\cannabis\utils.py", line 11, in <genexpr>
return '+'.join(BaseConverter.to_url(term) for term in terms)
TypeError: to_url() missing 1 required positional argument: 'value'
/cannabis/api/__init __.py
from .views import bp
/cannabis/api/views.py
from flask import Blueprint, jsonify
bp = Blueprint('api', __name__)
@bp.route('/', defaults={'cols': [], 'terms': []})
@bp.route('/<list:cols>', defaults={'terms': []})
@bp.route('/<list:cols>/<list:terms>')
def index(cols, terms):
cols_a = []
for col in cols:
if col: cols_a.append(col)
terms_a = []
for term in terms:
if term: terms_a.append(term)
# we need list of cols so we can filter data for list of terms within the list of cols
if not cols_a and terms_a:
return jsonify(message="Please choose at least one column")
kws = []
kws.append(cols_a)
kws.append(terms_a)
# form the moment just make sure we get the 2 lists/arrays
# then filter data with pandas using the combination of 2 lists then convert to json and return result
# .. WORKING ..
return jsonify(message="api index page", kws=kws)
/cannabis/errors/__init __.py
from .views import bp
/cannabis/errors/views.py
from flask import Blueprint, jsonify
from werkzeug.exceptions import HTTPException
bp = Blueprint('errors', __name__)
@bp.app_errorhandler(HTTPException)
def handle_exception(e):
return jsonify(code=e.code,
name=e.name,
description=e.description)
现在您可以 运行 Flask 应用并使用不同的 URL 进行一些测试：
no given columns and terms lists, default : return non-filtered data
http://localhost:5000/api/
{"kws":[[],[]],"message":"api index page"}
1 column is given , return data with only the give column
http://localhost:5000/api/Strain
{"kws":[["Strain"],[]],"message":"api index page"}
N columns are given , return data with only the give N columns
http://localhost:5000/api/Strain+Rating
{"kws":[["Strain","Rating"],[]],"message":"api index page"}
notice this url with extra optional '+', it works.
http://localhost:5000/api/Strain++++Rating++Flavor
{"kws":[["Strain","Rating","Flavor"],[]],"message":"api index page"}
N columns and M terms are given , return data with only the give N columns and filtered rows that contains M terms (CHECK how to use this with pandas)
http://localhost:5000/api/Strain++Rating++Flavor/Purple-Kush++5+++Blackberry+++
{"kws":[["Strain","Rating","Flavor"],["Purple-Kush","5" "Blackberry"]],"message":"api index page"}
notice this url when no column is given.
http://localhost:5000/api/+/Purple-Kush
{"message":"Please add at least one column"}
other url, return non-filtered data
http://localhost:5000/api/+++/+++
{"kws":[[],[]],"message":"api page"}
[..]
我会在完成实施后更新我的代码 pandas..
其他资源：
flask jsonify 对比 python json dumps：json.dumps vs flask.jsonify
这是我想到的。我是根据这篇文章构建的：Medium article on using CSV with Flask。例如，在 URL 本地，您可以键入 ' 5Th-Element' 应该显示为 JSON 格式。在 return 上添加 jsonify 将有助于解决 API 问题。
import csv
from os import path
from flask import Flask, render_template, Blueprint, jsonify, json
# Make Blueprint for __init__.py
ParseURL = Blueprint("ParseURL", __name__)
# Import Leafly csv
file_name = path.join(path.dirname(__file__), "Leafly.csv")
# route to display single dictionary list item as JSON object
@APP.route('/<strain>')
def strain_url(strain):
'''
Parameters: name of strain from database as a string.
For loops the cannabis.csv file, creating a dictionary.
Returning only the strain that was given as a parameter.
'''
with open('cannabis.csv') as csv_file:
data = csv.reader(csv_file, delimiter=',')
dict_strain = {}
for row in data:
if row[0] == strain:
dict_strain = {
"strain": row[0],
"type": row[1],
"rating": row[2],
"effects": row[3],
"flavor": row[4],
"description": row[5]
}
break
return jsonify(dict_strain)