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Wrapper for Google's Python API.

Project description

googleapiutils2

Utilities for Google's v2 Python API. Currently supports sections of the following resources:

  • Drive: DriveResource, FilesResource, PermissionsResource, RepliesResource, ...
  • Sheets: SpreadsheetsResource, ValuesResource, ...
  • Geocoding

Quickstart

This project requires Python ^3.10 to run.

Several dependencies are needed, namely the aforesaid Google Python API, but also Google's oauth library, and requests. Pre-bundled for ease of use are the fairly monolithic google-api-stubs, which greatly improves the usage experience.

via poetry

Install poetry, then run

poetry install

And you're done.

Overview

The library was written to be consistent with Google's own Python API - just a little easier to use. Most Drive and Sheets operations are supported using explicit parameters. But most functions thereof take a **kwargs parameter (used for parameter forwarding) to allow for the more granular usage of the underlying API.

A note on IDs: anytime a resource ID is needed, one can be provide the actual resource ID, or the URL to the resource. If a URL is provided, this mapping is cached for future use.

Authentication

Before using a Drive or Sheets object, one must first authenticate. This is done via the google.oauth2 library, creating a Credentials object.

The library supports two methods of authentication:

  • via a Google service account (recommended, see more here)
  • via OAuth2 (see more here)

With a service account, one can programmatically access resources without user input. This is by far the easiest route, but requires a bit of setup.

If not using a service account, the library will attempt to open a browser window to authenticate using the provided credentials. This authentication is cached for future usage (though it does expire on some interval) - so an valid token path is required.

See the get_oauth2_creds function for more information.

Drive

Example: copy a file to a folder.

creds = get_oauth2_creds(config_obj)
drive = Drive(creds)

filename = "Heyy"

file = drive.get_name(filename, parents=[FOLDER_URL])
if file is not None:
    drive.delete(file["id"])

file = drive.copy(file_id=FILE_ID, to_filename=filename, to_folder_id=FOLDER_URL)

What the above does is:

  • Get the OAuth2 credentials from the config_obj object (JSON object representing the requisite credentials, see here for more information).
  • create a Drive object thereupon.
  • Get the file with the given name, and delete it if it exists.
  • Copy the file with the given ID to the given folder, and return the new file.

Sheets

Example: update a range of cells in a sheet.

creds = get_oauth2_creds(config_path)
sheets = Sheets(creds)

Sheet1 = SheetsValueRange(sheets, SHEET_ID, sheet_name="Sheet1")

rows = [
    {
        "Heyy": "99",
    }
]
Sheet1[2:3, ...].update(rows)

What the above does is:

  • Get the OAuth2 credentials from the config_path file (see here for more information).
  • create a Sheets object thereupon.
  • Create a SheetsValueRange object, which is a wrapper around the spreadsheets.values API.
  • Update the range Sheet1!A2:B3 with the given rows.

Note the slicing syntax, which will feel quite familiar for any user of Numpy or Pandas.

SheetSlice

A SheetsValueRange object can be sliced in a similar manner to that of a Numpy array. The syntax is as follows:

slc = Sheet[rows, cols]

Wherein rows and cols are either integers, slices of integers (stride is not supported), strings (in A1 notation), or ellipses (...).

Note that Google's implementation of A1 notation is 1-indexed; 0 is invalid (e.g., 1 maps to A, 2 to B, etc.)

ix = SheetSlice["Sheet1", 1:3, 2:4] #  "Sheet1!B2:D4"
ix = SheetSlice["Sheet1", "A1:B2"]  #  "Sheet1!A1:B2"
ix = SheetSlice[1:3, 2:4]           #  "Sheet1!B2:D4"
ix = SheetSlice["A1:B2"]            #  "Sheet1!A1:B2"
ix = SheetSlice[..., 1:3]           #  "Sheet1!A1:Z3"

values = {
    SheetSlice["A1:B2"]: [
        ["Heyy", "99"],
        ["Heyy", "99"],
    ],
} # "Sheet1!A1:B2" = [["Heyy", "99"], ["Heyy", "99"]]

A SheetSlice can also be used as a key into a SheetsValueRange, or a dictionary (to use in updating a sheet's range via .update(), for example). Further, a SheetsValueRange can be sliced in a similar manner to that of a SheetSlice.

Sheet1[2:3, ...].update(rows)
...

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