sheetrika 0.1.3

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Here’s a polished version of your README with improved grammar, clearer instructions, and some additional helpful details:

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Usage

1. Install Sheetrika

1. Create a virtual environment (recommended to isolate dependencies):

   python3 -m venv .venv
   

2. Install Sheetrika inside the virtual environment:

   .venv/bin/pip install sheetrika
   

2. Enable Google Sheets API

1. Go to the Google Cloud Console API Library.
2. Search for Google Sheets API.
3. Click Enable to activate the API for your project.

3. Create a Service Account

1. Navigate to the Google Cloud Console Credentials page.
2. Click Create Service Account and follow the prompts.
3. In the Service Account settings, go to the Keys tab and click Add Key → JSON. Save the file as creds.json.
4. Encode the credentials for secure use:

   .venv/bin/sheetrika encode creds.json
   

5. Copy the output and save it to a new .env file. Example:

   export GOOGLE_API_TOKEN="your_encoded_token_here"
   

4. Configure Demo Parameters in config.yml

1. Google Spreadsheet Setup:
   • Create a new spreadsheet or open an existing one.
   • Extract the spreadsheet_id from the URL:

     https://docs.google.com/spreadsheets/d/{spreadsheet_id}/edit
     

   • Add the client_email from creds.json to the spreadsheet’s sharing permissions (as an editor).
2. Yandex Metrica Parameters:
   • Refer to the Yandex Metrica Documentation for query parameters.

Example config.yml:

tasks:
  - name: live_demo__y_metrica
    query:
      url: https://api-metrika.yandex.ru/stat/v1/data/bytime.csv
      params:
        date1: 3daysAgo
        date2: today
        id: <your_metrica_counter_id>
        metrics: ym:s:visits,ym:s:users
        dimensions: ym:s:TrafficSource
        group: day
        filters: ym:s:isRobot=='No'
      schema:
        - Период
        - Переходы из поисковых систем
        - Переходы по ссылкам на сайтах
        - Прямые заходы
        - Внутренние переходы
        - Переходы из социальных сетей
        - Переходы из рекомендательных систем
    sheet:
      spreadsheet_id: <your_spreadsheet_id>
      name: main
      range: A2
      wtype: merge

5. Get a Yandex API Token

1. Follow the Yandex Metrica Authorization Guide to obtain a token.
2. Save the token to your .env file:

   export YANDEX_API_TOKEN="your_yandex_token_here"
   

6. Run the Example

Load the environment variables and execute the script:

import os
from sheetrika.loader import SheetrikaLoader

def main():
    loader = SheetrikaLoader(
        ym_token=os.getenv('YANDEX_API_TOKEN'),
        goo_token=os.getenv('GOOGLE_API_TOKEN'),
        config_path='config.yaml',
    )
    loader.run()

if __name__ == '__main__':
    main()

Writing Types (wtype Options)

1. snapshot: Clears all data in the specified range and writes new data.
2. append: Finds the first empty row and appends data below it.
3. merge: Matches values in the first column and updates non-intersecting rows.

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Additional Notes:

• Virtual Environment: Always activate your virtual environment before running commands:

  source .venv/bin/activate  # Linux/Mac
  .venv\Scripts\activate     # Windows
  

• Security: Keep creds.json and .env files out of version control (add them to .gitignore).
• Debugging: If permissions fail, ensure the client_email has edit access to the spreadsheet.

Let me know if you'd like further refinements!