read google sheets, use them for sites
Project description
# sheetsite: sheets for sites
[![Build Status](https://travis-ci.org/paulfitz/sheetsite.svg?branch=master)](https://travis-ci.org/paulfitz/sheetsite)
[![PyPI version](https://badge.fury.io/py/sheetsite.svg)](http://badge.fury.io/py/sheetsite)
Manage your website or directory with a google sheet.
Features:
* Copy a private google sheet to local json (or excel).
* Strip specially marked columns or cells from the spreadsheet.
* (Optional) notify people with summary of updates.
Handy for keeping a static website up-to-date with information
kept in a google sheet, when not all of that information should
be made public.
## Installation
```
pip install sheetsite
```
## Google sheet to local json
Place a file named `_sheetsite.yml` in a directory, in this format:
```yaml
source:
name: google-sheets
key: 15Vs_VGpupeGkljceEow7q1ig447FJIxqNS1Dd0dZpFc
credential_file: service.json
destination:
file: _data/directory.json
```
The file should have two stanzas, `source` specifying where to get
data from, and `destination` specifying where to put it. This
examples reads a private google spreadsheet and saves it as
`_data/directory.json`. The key comes from the url of the spreadsheet.
The credentials file is something you [get from google](http://gspread.readthedocs.org/en/latest/oauth2.html).
You could now build a static website from that `.json`, see
http://jekyllrb.com/docs/datafiles/ for how. For example,
the map at http://datacommons.coop/tap/ is of data pulled
from a google spreadsheet, styled using
https://github.com/datacommons/tap via github pages.
## Strip private sheets, columns, or cells
By default, sheetsite will strip:
* Any columns whose name is in parentheses, e.g. `(Private Notes)`
* Any cells or text within cells surrounded by double parentheses, e.g. `((private@email.address))`
* Any sheets whose name is in double parentheses, e.g. `((secret sheet))`
## Geocoding
If you have a table with a column called `address`, sheetsite can geocode it for
you and pass along the results. Just add the following in your yaml:
```
flags:
add:
table_name_goes_here:
- latitude
- longitude
- country
- state
- city
- street
- zip
```
You can add just the columns you want. Geocoding results are cached in a `_cache`
directory by default so they do not need to be repeated in future calls to sheetsite.
The full list of columns (with synonyms) available is:
* latitude / lat
* longitude / lng
* latlng
* country
* state / province / region
* city / locality
* street
* zip / postal_code
Normally you won't actually have a stand-alone `address` column. More usually,
information will be spread over multiple columns, or some will be implicit (e.g.
the state/province and country). You can tell sheetsite how to construct addresses
for geocoding by listing columns and constants to build it from. For example:
```
flags:
address:
table_name_goes_here:
- street_address1
- street_address2
- city
- Manitoba
- Canada
add:
table_name_goes_here:
- postal_code
```
This tells sheetsite to produce addresses of the form:
```
<street_address1> <street_address2> <city> Manitoba Canada
```
And add a `postal_code` column populated by geocoding.
It is possible to request columns directly in the spreadsheet. Just
wrap the column name in square brackets, like `[state]` or `[zip]`.
Any blank cells in such columns will be filled using geocoding based
on the address given in that row. If the address columns have not been
configured in `flags` then the address must be present in a single column
literally called `address`.
## Other formats
Other formats supported as destinations are `.xlsx` and `.xls`. There
are also experimental plugins for writing to ftp, git, or particular
database schemas.
## Getting credentials
[Obtain OAuth2 credentials from Google Developers Console](http://gspread.readthedocs.org/en/latest/oauth2.html) - thanks to gspread developers for creating this documentation!
Make sure you share the sheet with the email address in the OAuth2 credentials. Read-only permission is fine.
## License
sheetsite is distributed under the MIT License.
[![Build Status](https://travis-ci.org/paulfitz/sheetsite.svg?branch=master)](https://travis-ci.org/paulfitz/sheetsite)
[![PyPI version](https://badge.fury.io/py/sheetsite.svg)](http://badge.fury.io/py/sheetsite)
Manage your website or directory with a google sheet.
Features:
* Copy a private google sheet to local json (or excel).
* Strip specially marked columns or cells from the spreadsheet.
* (Optional) notify people with summary of updates.
Handy for keeping a static website up-to-date with information
kept in a google sheet, when not all of that information should
be made public.
## Installation
```
pip install sheetsite
```
## Google sheet to local json
Place a file named `_sheetsite.yml` in a directory, in this format:
```yaml
source:
name: google-sheets
key: 15Vs_VGpupeGkljceEow7q1ig447FJIxqNS1Dd0dZpFc
credential_file: service.json
destination:
file: _data/directory.json
```
The file should have two stanzas, `source` specifying where to get
data from, and `destination` specifying where to put it. This
examples reads a private google spreadsheet and saves it as
`_data/directory.json`. The key comes from the url of the spreadsheet.
The credentials file is something you [get from google](http://gspread.readthedocs.org/en/latest/oauth2.html).
You could now build a static website from that `.json`, see
http://jekyllrb.com/docs/datafiles/ for how. For example,
the map at http://datacommons.coop/tap/ is of data pulled
from a google spreadsheet, styled using
https://github.com/datacommons/tap via github pages.
## Strip private sheets, columns, or cells
By default, sheetsite will strip:
* Any columns whose name is in parentheses, e.g. `(Private Notes)`
* Any cells or text within cells surrounded by double parentheses, e.g. `((private@email.address))`
* Any sheets whose name is in double parentheses, e.g. `((secret sheet))`
## Geocoding
If you have a table with a column called `address`, sheetsite can geocode it for
you and pass along the results. Just add the following in your yaml:
```
flags:
add:
table_name_goes_here:
- latitude
- longitude
- country
- state
- city
- street
- zip
```
You can add just the columns you want. Geocoding results are cached in a `_cache`
directory by default so they do not need to be repeated in future calls to sheetsite.
The full list of columns (with synonyms) available is:
* latitude / lat
* longitude / lng
* latlng
* country
* state / province / region
* city / locality
* street
* zip / postal_code
Normally you won't actually have a stand-alone `address` column. More usually,
information will be spread over multiple columns, or some will be implicit (e.g.
the state/province and country). You can tell sheetsite how to construct addresses
for geocoding by listing columns and constants to build it from. For example:
```
flags:
address:
table_name_goes_here:
- street_address1
- street_address2
- city
- Manitoba
- Canada
add:
table_name_goes_here:
- postal_code
```
This tells sheetsite to produce addresses of the form:
```
<street_address1> <street_address2> <city> Manitoba Canada
```
And add a `postal_code` column populated by geocoding.
It is possible to request columns directly in the spreadsheet. Just
wrap the column name in square brackets, like `[state]` or `[zip]`.
Any blank cells in such columns will be filled using geocoding based
on the address given in that row. If the address columns have not been
configured in `flags` then the address must be present in a single column
literally called `address`.
## Other formats
Other formats supported as destinations are `.xlsx` and `.xls`. There
are also experimental plugins for writing to ftp, git, or particular
database schemas.
## Getting credentials
[Obtain OAuth2 credentials from Google Developers Console](http://gspread.readthedocs.org/en/latest/oauth2.html) - thanks to gspread developers for creating this documentation!
Make sure you share the sheet with the email address in the OAuth2 credentials. Read-only permission is fine.
## License
sheetsite is distributed under the MIT License.
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