Zappa Init -- Flask charmap：'charmap‘编解码器无法解码位置301中的字节0x81 :字符映射到<undefined>

Question

我正在尝试API的无服务器部署...令人恼火地卡在设置阶段。

我试图从cmd运行zappa init，但我得到了一个奇怪的错误。

这个命令实际上在我第一次运行它的时候就起作用了(我在最后一步取消了，意识到我想首先设置我的S3存储桶)。

当我再次尝试安装和配置awscli，然后在我的虚拟环境中安装flask时，我得到了以下错误：

Your Zappa deployments will need to be uploaded to a private S3 bucket.
If you don't have a bucket yet, we'll create one for you too.
What do you want call your bucket? (default 'zappa-hohr3kxh7'):

It looks like this is a Flask application.
Oh no! An error occurred! :(

==============

Traceback (most recent call last):
  File "c:\users\joshu\documents\code\machine-learning\boston-housing-price\app\env\venv\lib\site-packages\zappa\cli.py", line 2610, in handle
    sys.exit(cli.handle())
  File "c:\users\joshu\documents\code\machine-learning\boston-housing-price\app\env\venv\lib\site-packages\zappa\cli.py", line 476, in handle
    self.init()
  File "c:\users\joshu\documents\code\machine-learning\boston-housing-price\app\env\venv\lib\site-packages\zappa\cli.py", line 1604, in init
    matches = detect_flask_apps()
  File "c:\users\joshu\documents\code\machine-learning\boston-housing-price\app\env\venv\lib\site-packages\zappa\utilities.py", line 143, in detect_flask_apps
    lines = f.readlines()
  File "c:\users\joshu\documents\code\machine-learning\boston-housing-price\app\env\venv\lib\encodings\cp1252.py", line 23, in decode
    return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x81 in position 301: character maps to <undefined>

我运行的是Windows10，Python 3.6 Anaconda发行版。

我的大部分代码都在一个api.py文件中，除此之外还有一个index.html文件。下面是api.py代码：

from flask import Flask, render_template, request, jsonify
from sklearn.externals import joblib
import boto3
import numpy as np
import pickle

app = Flask(__name__)

BUCKET_NAME = 'ml-boston-housing'
MODEL_FNAME = 'model.pkl'

S3 = boto3.client('s3', region_name='us-east-1')

# memoized annotation, caches model file after it's pulled
def memoize(f):
    memo = {}

    def helper(x):
        if x not in memo:
            memo[x] = f(x)
        return memo[x]

    return helper


@app.route('/')
@app.route('/index')
def index():
    return render_template('index.html')


@app.route('/predict', methods=['POST'])
def make_prediction():
    if request.method == 'POST':
        app.logger.info("{} request received from: {}".format(
            request.method, request.remote_addr))

        mdl = load_model(MODEL_FNAME)
        input_data = np.zeros((1, 13))

        if request.json or 'data' in request.json:
            for i, k in enumerate(request.get_json()):
                input_data[0, i] = request.form.get(k, 0)
            result = np.squeeze(mdl.predict(input_data))
            return jsonify({'result': result})
        else:           
            for i, k in enumerate(request.form.keys()):
                input_data[0, i] = request.form.get(k, 0)
            result = np.squeeze(mdl.predict(input_data))
            return render_template('index.html', label=result)



@memoize
def load_model(key):
    response = S3.get_object(Bucket=BUCKET_NAME, Key=key)
    modelstr = response['Body'].read()
    model = pickle.load(modelstr)

    return model


if __name__ == '__main__':
    app.run(host='0.0.0.0')

Answer 1

当Zappa init运行时，它会调用utilities.py文件中的def detect_flask_apps()函数。此函数读取项目目录中的每个python文件，包括虚拟环境文件夹中的库。

有一个名为functools.py的库，它必须具有与缺省字符编码不同的字符编码，因为

with open(full, 'r') as f:
    lines = f.readlines()

读取~/env/venv/Lib/functools.py时失败。

修复方法是指定编码：

with open(full, 'r', encoding='utf-8') as f:
    lines = f.readlines()

在zappa/utilities.py -- line 148中