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        "author": "MB",
        "author_email": "mb@blaster.ai",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
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        "description": "## Python wrapper for [Coda.io](https://coda.io) API\n\n[![CodaAPI](https://img.shields.io/badge/Coda_API_version-0.1.1--beta1-orange)](https://coda.io/developers/apis/v1beta1)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/codaio)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)\n[![Documentation Status](https://readthedocs.org/projects/codaio/badge/?version=latest)](https://codaio.readthedocs.io/en/latest/?badge=latest)\n[![PyPI](https://img.shields.io/pypi/v/codaio)](https://pypi.org/project/codaio/)\n![PyPI - Downloads](https://img.shields.io/pypi/dw/codaio)\n\n`codaio` is in active development stage. Issues and PRs very welcome! \n\n### Installation\n```shell script\npip install codaio\n```\n\n### Config via environment variables\nThe following variables will be called from environment where applicable:\n\n* `CODA_API_ENDPOINT` (default value `https://coda.io/apis/v1beta1`)\n* `CODA_API_KEY` - your API key to use when initializing document from environment\n\n### Quickstart using raw API\nCoda class provides a wrapper for all API methods. If API response included a JSON it will be returned as a dictionary from all methods. If it didn't a dictionary `{\"status\": response.status_code}` will be returned.\nIf request wasn't successful a `CodaError` will be raised with details of the API error.\n\n```python\nfrom codaio import Coda\n\ncoda = Coda('YOUR_API_KEY')\n\n>>> coda.create_doc('My document')\n{'id': 'NEW_DOC_ID', 'type': 'doc', 'href': 'https://coda.io/apis/v1beta1/docs/LINK', 'browserLink': 'https://coda.io/d/LINK', 'name': 'My Document', 'owner': 'your@email', 'createdAt': '2019-08-29T11:36:45.120Z', 'updatedAt': '2019-08-29T11:36:45.272Z'}\n```\nFor full API reference for Coda class see [documentation](https://codaio.readthedocs.io/en/latest/index.html#codaio.Coda)\n\n### Quickstart using codaio objects\n\n`codaio` implements convenient classes to work with Coda documents: `Document`, `Table`, `Row`, `Column` and `Cell`.\n\n```python\nfrom codaio import Coda, Document\n\n# Initialize by providing a coda object directly\ncoda = Coda('YOUR_API_KEY')\n\ndoc = Document('YOUR_DOC_ID', coda=coda)\n\n# Or initialiaze from environment by storing your API key in environment variable `CODA_API_KEY`\ndoc = Document.from_environment('YOUR_DOC_ID')\n\ndoc.list_tables()\n\ntable = doc.get_table('TABLE_ID')\n```\n#### Fetching a Row\n```python\n# You can fetch a row by ID\nrow  = table['ROW_ID']\n```\n\n#### Using with Pandas\nIf you want to load a codaio Table or Row into pandas, you can use the `Table.to_dict()` or `Row.to_dict()` methods:\n```python\nimport pandas as pd\n\ndf = pd.DataFrame(table.to_dict())\n```\n\n#### Fetching a Cell\n```python\n# Or fetch a cell by ROW_ID and COLUMN_ID\ncell = table['ROW_ID']['COLUMN_ID']  \n\n# This is equivalent to getting item from a row\ncell = row['COLUMN_ID']\n# or \ncell = row['COLUMN_NAME']  # This should work fine if COLUMN_NAME is unique, otherwise it will raise AmbiguousColumn error\n# or use a Column instance\ncell = row[column]\n```\n\n#### Changing Cell value\n\n```python\nrow['COLUMN_ID'] = 'foo'\n# or\nrow['Column Name'] = 'foo'\n```\n\n#### Iterating over rows\n```\n# Iterate over rows using IDs -> delete rows that match a condition\nfor row in table.rows():\n    if row['COLUMN_ID'] == 'foo':\n        row.delete()\n\n# Iterate over rows using names -> edit cells in rows that match a condition\nfor row in table.rows():\n    if row['Name'] == 'bar':\n        row['Value'] = 'spam'\n```\n\n#### Upserting new row\nTo upsert a new row you can pass a list of cells to `table.upsert_row()`\n```python\nname_cell = Cell(column='COLUMN_ID', value_storage='new_name')\nvalue_cell = Cell(column='COLUMN_ID', value_storage='new_value')\n\ntable.upsert_row([name_cell, value_cell])\n```\n\n#### Upserting multiple new rows\nWorks like upserting one row, except you pass a list of lists to `table.upsert_rows()` (rows, not row)\n```python\nname_cell_a = Cell(column='COLUMN_ID', value_storage='new_name')\nvalue_cell_a = Cell(column='COLUMN_ID', value_storage='new_value')\n\nname_cell_b = Cell(column='COLUMN_ID', value_storage='new_name')\nvalue_cell_b = Cell(column='COLUMN_ID', value_storage='new_value')\n\ntable.upsert_rows([[name_cell_a, value_cell_a], [name_cell_b, value_cell_b]])\n```\n\n#### Updating a row\nTo update a row use `table.update_row(row, cells)`\n```python\nrow = table['ROW_ID']\n\nname_cell_a = Cell(column='COLUMN_ID', value_storage='new_name')\nvalue_cell_a = Cell(column='COLUMN_ID', value_storage='new_value')\n\ntable.update_row(row, [name_cell_a, value_cell_a])\n```\n\n#### Documentation\n\n`codaio` documentation lives at [readthedocs.io](https://codaio.readthedocs.io/en/latest/index.html)\n\n\n#### Testing\n\nAll tests are in the `/tests` folder. It's a little bit problematic to test against the live API since some responses may take a bit longer, so test results are not reliable enough to use a CI system.\n\nCheck out the fixtures if you want to improve the testing process.\n",
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