如何在Python中将不带引号、带有数组和子字典的字符串转换为字典？

Question

我有下一个不带引号且带有数组和子字典的字符串：

s ='{source: [s3, kinesis], aws_access_key_id: {myaws1, myaws2}, aws_secret_access_key: REDACTED_POSSIBLE_AWS_SECRET_ACCESS_KEY, bucketName: bucket, region_name: eu-west-1, fileType: zip, typeIngestion: FULL, project: trackingcampaigns, functionalArea: client, filePaths: [s3Sensor/2018/], prefixFiles: [Tracking_Sent, Tracking_Bounces, Tracking_Opens, Tracking_Clicks, Tracking_SendJobs], prefixToTables: {Tracking_Bounces: MNG_TRACKING_EXTRACT_BOUNCES_3, Tracking_Sent: MNG_TRACKING_EXTRACT_SENT_3, Tracking_Clicks: MNG_TRACKING_EXTRACT_CLICKS_3, Tracking_Opens: MNG_TRACKING_EXTRACT_OPENS_3, Tracking_SendJobs: MNG_TRACKING_EXTRACT_SENDJOBS_3}, stagingPath: /zipFiles/}'

我想把它转换成字典。

Answer 1

您可以使用正则表达式来处理要在尝试计算之前添加到引号中的字符串：

import re
import ast

s = "{source: s3, aws_access_key_id: myaws, aws_secret_access_key: REDACTED_POSSIBLE_AWS_SECRET_ACCESS_KEY, bucketName: bucket, region_name: eu-west-1, fileType: zip, typeIngestion: FULL, project: trackingcampaigns, functionalArea: client, filePaths: [s3Sensor/2018/], prefixFiles: [Tracking_Sent, Tracking_Bounces, Tracking_Opens, Tracking_Clicks, Tracking_SendJobs], prefixToTables: {Tracking_Bounces: MNG_TRACKING_EXTRACT_BOUNCES_3, Tracking_Sent: MNG_TRACKING_EXTRACT_SENT_3, Tracking_Clicks: MNG_TRACKING_EXTRACT_CLICKS_3, Tracking_Opens: MNG_TRACKING_EXTRACT_OPENS_3, Tracking_SendJobs: MNG_TRACKING_EXTRACT_SENDJOBS_3}, stagingPath: /zipFiles/}"

s = re.sub(r':\s?(?![{\[\s])([^,}]+)', r': "\1"', s) #Add quotes to dict values
s = re.sub(r'(\w+):', r'"\1":', s) #Add quotes to dict keys

def add_quotes_to_lists(match):
    return re.sub(r'([\s\[])([^\],]+)', r'\1"\2"', match.group(0))

s = re.sub(r'\[[^\]]+', add_quotes_to_lists, s) #Add quotes to list items

final = ast.literal_eval(s) #Evaluate the dictionary

print(final)

这不是最漂亮的解决方案，而且我只有一个输入示例，因此我无法保证该解决方案的稳健性，但它适用于提供的示例。