read-google-sheet 0.1.0

Reading public Google Sheets into polars_result

read-google-sheet

Load public Google Sheets directly into Polars LazyFrame or DataFrame — with railway-oriented error handling via polars-result.

Requires Python 3.14+

Features

• 📊 Polars-native — returns LazyFrame by default, DataFrame on request
• 🚂 Railway-oriented — every operation returns Result[T, Exception], never raises
• ✅ Validated — sheet ID and name are validated before any network request
• 📦 Minimal dependencies — Polars, requests, polars-result

Installation

uv add read-google-sheet

pip install read-google-sheet

Quick Start

from polars_result import Ok, Err
from read_google_sheet import read_google_sheet

result = read_google_sheet(
    sheet_id="1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgVE2upms",
    sheet_name="Sheet1",
)

match result:
    case Ok(lf):
        print(lf.collect())
    case Err(e):
        print(f"Failed: {e}")

---

API Reference

read_google_sheet

def read_google_sheet(
    sheet_id: str,
    sheet_name: str,
    as_dataframe: bool = False,
    parse_dates: bool = True,
) -> Result[pl.LazyFrame | pl.DataFrame, Exception]

Parameter	Description
sheet_id	44-character Google Sheet ID from the sheet URL
sheet_name	Tab name within the spreadsheet
as_dataframe	Return a collected DataFrame instead of a LazyFrame
parse_dates	Attempt to parse date columns automatically

---

GoogleSheetConfig

Low-level dataclass for direct access and step-by-step control:

from read_google_sheet import GoogleSheetConfig

config = GoogleSheetConfig(
    sheet_id="1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgVE2upms",
    sheet_name="Sheet1",
    timeout=10,
)

result = config.to_lazyframe()    # Result[pl.LazyFrame, Exception]
result = config.to_dataframe()    # Result[pl.DataFrame, Exception]
url    = config.create_url()      # Result[str, Exception]
data   = config.fetch_data()      # Result[StringIO, Exception]

---

Exceptions

All exceptions inherit from GoogleSheetError:

Exception	Raised when
ConfigurationError	Invalid sheet ID or empty sheet name
SheetFetchError	HTTP request fails or returns a non-200 status
NetworkError	Connection error or timeout
SheetTransformError	CSV parsing or LazyFrame collection fails
ValidationError	General validation failure

---

Error Handling Patterns

Pattern 1: Match on result

from read_google_sheet import read_google_sheet, ConfigurationError, NetworkError

match read_google_sheet(sheet_id="...", sheet_name="Sheet1"):
    case Ok(lf):
        df = lf.collect()
    case Err(ConfigurationError() as e):
        print(f"Config problem: {e}")
    case Err(NetworkError() as e):
        print(f"Network problem: {e}")
    case Err(e):
        print(f"Unexpected error: {e}")

Pattern 2: Chain operations

import polars as pl
from polars_result import Ok
from read_google_sheet import read_google_sheet

result = (
    read_google_sheet(sheet_id="...", sheet_name="Sheet1")
    .map(lambda lf: lf.filter(pl.col("amount") > 0))
    .map(lambda lf: lf.select("vessel", "service", "amount"))
    .and_then(lambda lf: Ok(lf.collect()))
)

Pattern 3: Fallback to another sheet

result = (
    read_google_sheet(sheet_id="...", sheet_name="live")
    .or_else(lambda _: read_google_sheet(sheet_id="...", sheet_name="backup"))
    .unwrap_or(pl.LazyFrame())
)

Pattern 4: Unwrap with default

lf = read_google_sheet(sheet_id="...", sheet_name="Sheet1").unwrap_or(pl.LazyFrame())

---

Usage in Marimo Notebooks

import marimo as mo
from polars_result import Ok, Err
from read_google_sheet import read_google_sheet

result = read_google_sheet(
    sheet_id="1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgVE2upms",
    sheet_name="Sheet1",
    as_dataframe=True,
)

match result:
    case Ok(df):
        mo.ui.table(df)
    case Err(e):
        mo.callout(mo.md(f"**Failed to load sheet:** {e}"), kind="danger")

---

How It Works

The package uses Google Sheets' public CSV export endpoint — no API key or OAuth required. The sheet must be set to "Anyone with the link can view".

The URL format used internally:

https://docs.google.com/spreadsheets/d/{sheet_id}/gviz/tq?tqx=out:csv&sheet={sheet_name}

---

Development

uv sync                                                           # install dependencies
uv run pytest                                                     # run tests
uv run pytest --cov=src/read_google_sheet --cov-report=html      # with coverage
uv run ruff check src/ tests/                                     # lint
uv run ruff format src/ tests/                                    # format
uv run ty check                                                   # type check

Contributing

Contributions welcome — please open an issue or PR on GitHub.

License

MIT — see LICENSE for details.