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clss-0.2.0


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توضیحات

Command-line utility for syncing with Google Sheets
ویژگی مقدار
سیستم عامل -
نام فایل clss-0.2.0
نام clss
نسخه کتابخانه 0.2.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Frank S. Hestvik
ایمیل نویسنده tristesse@gmail.com
آدرس صفحه اصلی https://gitlab.com/franksh/clss/
آدرس اینترنتی https://pypi.org/project/clss/
مجوز MIT
# clss **C**ommand-**l**ine **S**pread**s**heets. ``` clss -s SPREADSHEET_ID -w WORKSHEET [-r RANGE] [-f FORMAT] (append | dump | upload) ``` Small utility for interacting with Google spreadsheets, appending rows or syncing data back and forth between local ASCII/CSV/JSON files. ## Usage: timesheets The motivating use case was keeping timesheets for projects. After looking at several web-based solutions which were either way too heavy or noisy (as in bells and whistles) for this use-case, I got the idea of simply using shared spreadsheets via Google Sheets. Let's say we were keeping timesheets for projects in a Google spreadsheet like so: | Date | User | Project | Hours | Description | Comment | | ----: | :---- | -------: | ----: | :----------- | :------- | | 2021-03-01 | franksh | 1002 | 5.0 | Stared out of the window | | | 2021-03-02 | franksh | 1001 | 3.5 | Invested in pyramid schemes | | | 2021-03-02 | franksh | 4001 | 4.0 | Went outside to stare into the window | | | 2021-03-03 | franksh | 7777 | 9.0 | Resolved the Langlands program in one sitting | Margin too short for proof | Configuring `clss` to target this worksheet by making a `~/.config/clss/sheet.json` or `.sheet.json` file: ```json { "spreadsheet_id": "1d6Jn6lgj7wRX_HF3pOqj-hm6VMC4A5CvrRnJYuCIk30", "worksheet": "Upload", "format": "ascii" } ``` The same file could also be created with the command `clss -s 1d6Jn6lgj7wRX_HF3pOqj-hm6VMC4A5CvrRnJYuCIk30 -w Upload -f ascii args save`. Leaving out a `range` parameter (which works like a normal spreadsheet range like "B2:F800") means the entire worksheet named `Upload` will be used. And the workflow would be something like this: ``` bash $ clss dump Date | User | Project | Hours | Description | Comment 2021-03-01 | franksh | 1002 | 5 | Stared out of the window | 2021-03-02 | franksh | 1001 | 3.5 | Invested in pyramid schemes | 2021-03-02 | franksh | 1002 | 4 | Went outside to stare into the window | 2021-03-03 | franksh | 7777 | 9 | Resolved the Langlands program in one sitting | Margin too short for proof $ clss append `date +%Y-%m-%d` "$USER" 2001 2.5 "Wrote README and documentation" $ clss dump Date | User | Project | Hours | Description | Comment 2021-03-01 | franksh | 1002 | 5 | Stared out of the window | 2021-03-02 | franksh | 1001 | 3.5 | Invested in pyramid schemes | 2021-03-02 | franksh | 1002 | 4 | Went outside to stare into the window | 2021-03-03 | franksh | 7777 | 9 | Resolved the Langlands program in one sitting | Margin too short for proof 2021-03-14 | franksh | 2001 | 2.5 | Wrote README and documentation | ``` Alternatively the file could be kept offline in a `.txt`, `.csv`, or `.json` and then regularly synced up to the worksheet with `clss upload timesheet.csv`. ## Install and Setup ### Requirements Make sure you have `python 3.7+` installed with its `pip` package installer: $ pip --version pip 20.0.2 from /usr/lib/python3/dist-packages/pip (python 3.8) (Note: `python` and `pip` might be called `python3` and `pip3` on legacy-oriented distros such as Ubuntu.) If you don't have `pip` installed as a separate command, note that `pip [args...]` is equivalent to running `python -m pip [args...]`: $ python39 -m pip --version pip 21.0.1 from /home/franksh/envs/py39/lib/python3.9/site-packages/pip (python 3.9) ### Install $ pip install clss (If not using a virtual environments, it's recommended to add the `--user` flag to install to `~/.local` instead: `pip install --user clss`) Now `clss` should work: $ clss Usage: clss [OPTIONS] COMMAND [ARGS]... Command-Line SpreadSheet utility. Modifies Google spreadheets from command-line via Sheets API. Options: --version Show the version and exit. -v, --verbose Increase verbosity level. Use '-vv' to also show debug messages. ... ### Setup Configure `clss` use a fixed spreadsheet document and worksheet for future invocations: ``` bash $ clss -s SPREADSHEET_ID -w WORKSHEET [-r RANGE] [-f FORMAT] args save ``` To allow the utility to interact with your Google spreadsheets it needs Google API credentials (which allows it to request login tokens with certain permissions from a Google user). There's several ways of making these credentials, but the absolute easiest way is to click the `[Enable the Google Sheets API]` button on the [API quickstart page](https://developers.google.com/sheets/api/quickstart/python). (Everything else on this page is irrelevant.) Now run a command like `clss -C CREDENTIALS_FILE dump` and it should open a browser window asking you to verify the app's login with your Google account. (Google will complain it's unsafe and attempt to hide the button under `[Advanced]` and `[Go to Quickstart (unsafe)]`, but there's not much to be done about that.) The login will be cached and refreshed in the future so this step only happens once. (See also `clss help` and `clss help credentials` for further walls of text essentially giving the same information.)


نیازمندی

مقدار نام
==2.* google-api-python-client
==0.1.* google-auth-httplib2
==0.4.* google-auth-oauthlib
- click


زبان مورد نیاز

مقدار نام
>=3.7 Python


نحوه نصب


نصب پکیج whl clss-0.2.0:

    pip install clss-0.2.0.whl


نصب پکیج tar.gz clss-0.2.0:

    pip install clss-0.2.0.tar.gz