python - 将多个 YAML 文件转换为 CSV
问题描述
我对 Python 非常陌生，并且有几个 YAML 文件需要转换为 csv。这些是来自我们的 CRM (Highrise) 的注释、评论和电子邮件。我只需要注释和评论，而不需要电子邮件。这里有一些例子。
Test_Co_1.txt
---
- ID: 273679215
Name: Test Company 1
Tags:
- Sample tag 1
- Sample tag 2
- Sample tag 3
- Sample tag 4
- Contact:
-
- Addresses
-
- "123 W Elm Street, Anywhere, FL, 11111, United States"
-
- Phone_numbers
-
- 555-111-2222
- Background: sample text
- Note 424169327:
-
Author: Diane S.
-
Written: "May 16, 2017 19:32"
-
About: Jeff Smith
-
Body: Called 5/16/17 - Receptionist indicated Jeff was unavailable. She said they are not interested in attending any webinars hung up.
- Note 424598243:
-
Author: Jenny S.
-
Written: "May 18, 2017 15:45"
-
About: Test Company 1
-
Body: |-
email sent to TM: Pete
Pete,
Can you help us with this prospective customer to determine if he is interested?
We made some outbound calls this week, inviting dealers to the prospective dealer Summer Series webinars, with the first one being this Friday. Can you see if Jeff is interested? We do not have an email for him. Do you have that?
This is the note from earlier this week:
Called 5/16/17 - Receptionist indicated Jeff was unavailable. She said they are not interested in attending any webinars hung up.
Thanks for your help.
photo
Jenny
- Comment 424601588:
-
Author: Jenny S.
-
Written: "May 18, 2017 15:56"
-
About: Test Company 1
-
Body: |-
email back from TM: Jenny,
Yes. I will reach out to them.
Thanks!
Pete
另一个例子：Fake_Co_2
---
- ID: 306184746
Name: Fake Company 2
Tags:
- Sample Tag 1
- Contact:
-
- Addresses
-
- "444 N Oak St, Faketon City, MI, 22222, United States"
-
- Phone_numbers
-
- 333-333-3333
- Note 473905168:
-
Author: Robin S.
-
Written: "February 20, 2018 22:19"
-
About: Fake Company 2
-
Body: "1:1 with Steven 2/27/18"
- Email 476444812:
-
Author: Aaron N.
-
Written: "March 06, 2018 16:30"
-
About: Jose Viago
-
Subject: Welcome Call
-
Body: |-
Hello Jose,
We just talked and we scheduled your welcome call. I noticed after we hung
up that time changes this weekend. Unfortunately Arizona
doesn't change time and we will now be 2 hours behind you. Are you
available on at 10:30 AM CST on Tuesday, March 13th? Otherwise I will need
to schedule at a different time.
I apologize for the error and inconvenience.
<http://fakedomain.com/>
Support Team Lead
D: xxx-xxx-xxxx | C: xxx-xxx-xxxx | F: xxx-xxx-xxxx
<mailto:noreply@fakedomain.com> noreply@fakedomain.com
<http://fakedomain.com/> Website |
<https://www.youtube.com/watch?v=xxx> Our Story
Confidentiality Disclaimer: This email may contain confidential and/or
private
information. If you received this email in error please delete and notify
sender.
- Note 476458623:
-
Author: Jamie H.
-
Written: "March 06, 2018 17:12"
-
About: Fake Company 2
-
Body: ""
- Note 476460268:
-
Author: Aaron N.
-
Written: "March 06, 2018 17:18"
-
About: Fake Company 2
-
Body: |-
Called and talked to Jose and scheduled the Welcome Call for Tuesday, March 13 at 9:30 AM. After I hung up I realized that time changes this weekend. I left him a voice mail and emailed to see if doing the appointment at 10:30 AM would be ok.
Prep for appointment: Monday, March 12 at 2:30 PM
Welcome Call: Tuesday, March 13 at 10:30 AM CST
Jose emailed back and said that 10:30 is fine.
Michael H has been scheduled
- Comment 476460532:
-
Author: Aaron N.
-
Written: "March 06, 2018 17:18"
-
About: Jose Viago
-
Body: |-
From: Jose Viago [mailto:fakecompany2@gmail.com]
Sent: Tuesday, March 6, 2018 10:01 AM
To: admin@fakecompany.com
Subject: Re: Welcome Call
Yes that is fine. Thank you!
Jose Viago
Fake Company 2
xxx-xxx-xxxx
- Note 477585004:
-
Author: Laura H.
-
Written: "March 12, 2018 23:46"
-
About: Fake Company 2
-
Body: |-
Welcome call prep complete. Roadmap & workbook have been saved to their profile in BOX, and updated per their provided information.
03/12/18 (LH)
- Note 477740716:
-
Author: Michael H.
-
Written: "March 13, 2018 16:47"
-
About: Fake Company 2
-
Body: |-
03-13-2018. Did a welcome call with Jose. Jose now has access to the box. We will have a follow up call for Dashboard roll out.
03-13-2018. Did a follow up with Jose. He now has owner and tech role to the App and Dashboard. We also reviewed Online portal and help center. (MH)
- Note 502997603:
-
Author: Laura H.
-
Written: "August 06, 2018 17:14"
-
About: Fake Company 2
-
Body: |-
Received a text from Jose letting me know there is a leak in his office, and he needs to reschedule our call today. I moved him to Thursday 08/09/18 @ 9:00AM CDT.
08/06/18 (LH)
其中一些文本文件长达 1000 行，包含为该特定客户（或为该客户工作的联系人）记录的所有内部注释、评论和电子邮件。
我们正在迁移到不同的 CRM，并且只需要导入 Notes 和 Comments。我想像这样生成一个 csv（或多个 csv 文件）：
输出.csv
Name,Author,Written,About,Body
"Fake Company 2"|"Robin S."|"February 20, 2018 22:19"|"Fake Company 2"|"1:1 with Steve 2/27/18"
"Fake Company 2"|"Aaron N."|"March 06, 2018 17:18"|"Fake Company 2"|"Called and talked to Jose and scheduled the Welcome Call for Tuesday, March 13 at 9:30 AM. After I hung up I realized that time changes this weekend. I left him a voice mail and emailed to see if doing the appointment at 10:30 AM would be ok.
Prep for appointment: Monday, March 12 at 2:30 PM
Welcome Call: Tuesday, March 13 at 10:30 AM CST
Jose emailed back and said that 10:30 is fine.
Michael H has been scheduled"
我发现此代码需要一个从 yaml 文件内容中提取并输出为 csv 文件的脚本，但我对 Python 的了解不足，无法让它在没有语法错误的情况下正常工作。
解决方案
我会使用 Python YAML 库来帮助做到这一点。这可以使用以下方式安装：
pip install pyyaml
然后可以将您提供的文件转换为 CSV，如下所示：
import csv
import yaml
fieldnames = ['Name', 'Author', 'Written', 'About', 'Body']
with open('output.csv', 'w', newline='') as f_output:
csv_output = csv.DictWriter(f_output, fieldnames=fieldnames)
csv_output.writeheader()
for filename in ['Test_Co_1.txt', 'Test_Co_2.txt']:
with open(filename) as f_input:
data = yaml.safe_load(f_input)
name = data[0]['Name']
for entry in data:
key = next(iter(entry))
if key.startswith('Note') or key.startswith('Comment'):
row = {'Name' : name}
for d in entry[key]:
for get in ['Author', 'Written', 'About', 'Body']:
try:
row[get] = d[get]
except KeyError as e:
pass
csv_output.writerow(row)
这假定为标准 CSV 格式（即，如果字段包含换行符或逗号，则在字段和引号之间使用逗号）。
要理解这一点，我建议您添加一些打印语句以查看情况。例如data，以列表和字典的格式保存整个文件内容。然后是提取您需要的位的情况。
要将其应用于您的所有 YAML 文件，我将用调用替换文件名glob.glob('*.txt')
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