Python function to extract data from an ODS spreadsheet on the fly - without having to store the entire file in memory or disk
Project description
stream-read-ods 
Python function to extract data from an ODS spreadsheet on the fly - without having to store the entire file in memory or disk
To construct ODS spreadsheets on the fly, try stream-write-ods.
Installation
pip install stream-read-ods
Usage
from stream_read_ods import stream_read_ods
import httpx
def ods_chunks():
# Iterable that yields the bytes of an ODS file
with httpx.stream('GET', 'https://www.example.com/my.ods') as r:
yield from r.iter_bytes(chunk_size=65536)
for name, rows in stream_read_ods(ods_chunks()):
print(name) # Sheet name
for row in rows:
print(row) # Tuple of cells
Types
There are 8 possible data types in an Open Document Spreadsheet: boolean, currency, date, float, percentage, string, time, and void. 4 of these can be output by stream-read-ods, chosen automatically according to the following table.
| ODS type | Python type |
|---|---|
| boolean | bool |
| currency | stream_read_ods.Currency |
| date | date or datetime |
| float | Decimal |
| percentage | stream_read_ods.Percentage |
| string | str |
| time | stream_read_ods.Time |
| void | NoneType |
stream_read_ods.Currency
A subclass of Decimal.
stream_read_ods.Percentage
A subclass of Decimal.
stream_read_ods.Time
The Python built-in timedelta type is not used since timedelta does not offer a way to store intervals of years or months, other than converting to days which would be a loss of information.
Instead, a namedtuple is defined, stream_read_ods.Time, with members:
| Member | Type |
|---|---|
| sign | str |
| years | int |
| months | int |
| days | int |
| hours | int |
| minutes | int |
| seconds | Decimal |
Running tests
pip install -r requirements-dev.txt
pytest
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Source Distribution
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