I tried to create Quip API

Introduction

I accessed a specific document in Quip with the Quip API to parse the text stored in Sheets on Quip. Make a note of the access method at that time for personal use.

Get Access Token

Get Token with POSTMAN. For more information, see Quip API Documentation (https://quip.com/dev/automation/documentation)


GET https://platform.quip.com/1/users/current

Actually access

Get folders and documents using the function to get the spreadsheet on Github.

quip_analysis.py



import quip

# access to the quip
client = quip.QuipClient(access_token=<access_token>)

# Get your thread_id from the URL of your document
user = client.get_authenticated_user()
starred = client.get_folder(user["starred_folder_id"])

# get the spreadsheet
spreadsheet = client.get_second_spreadsheet(thread_id=<thread_id>)
parsedSpreadsheet = client.parse_spreadsheet_contents(spreadsheet)

Since you can get the data in spread format, drop it in the data frame

quip_analysis.py


# create the dataframe
    counter = 0
    spreadsheetData = []
    colNames = []

    for rows in parsedSpreadsheet["rows"]:
        cells = rows["cells"]
        rowData = []
        for key, value in cells.items():
            if counter == 0:
                colNames.append(key)
            rowData.append(value['content'])
        spreadsheetData.append(rowData)
        counter += 1   
    l = pd.DataFrame(spreadsheetData, columns=colNames)

After that, frequent words on the document were extracted by morphological analysis.

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