Skip to main content

A Python wrapper for multi-threaded retrieval from Gallica API endpoints

Project description

gallicaGetter

This tool wraps a few endpoints from the Gallica API.

Current endpoints are:

  • 'content' : context for term occurrence and page numbers
  • 'sru' : for a term, all the volumes the term appears in
  • 'text' : full text for a volume on Gallica
  • 'papers' : paper titles and publishing range data
  • 'issues' : years published for a paper (used internally in papers)

I developed this tool into a graphing app similar to Google's n-gram viewer for books.

For an exact number of occurrences over a period, use Pyllicagram.

Installation

pip install gallicaGetter

Content example

This wrapper pairs best with an SRU fetch since the ark code for an issue is in the SRU response.

Build the content wrapper using connect(), fetch using get():

import gallicaGetter

contentWrapper = gallicaGetter.connect('content')

data = contentWrapper.get(
    ark='bpt6k270178t',
    term='guerre',
)

for contentRecord in data:
    print(contentRecord.num_results)
    print(contentRecord.get_pages())

SRU examples

Build the wrapper object using the connect() factory:

import gallicaGetter

sruWrapper = gallicaGetter.connect('sru')

Then, retrieve records or counts using get().

get(terms, generate=False, **kwargs)

PARAMETERS:

  • terms: a string, or list of strings, to search for.
  • startDate: lower year boundary for the search.
  • endDate: upper year boundary for the search.
  • codes: string paper codes to restrict the search. Can be found in the URL of a Gallica periodical's page.
  • grouping: 'year', 'month', or 'all'
  • generate: if True, returns a generator object. Otherwise, returns a list of results.
  • linkTerm: a string that restricts the search to occurrences within its proximity.
  • linkDistance: proximity distance in words.

Retrieve the number of volumes with >= 1 mention of "Victor Hugo" across the Gallica archive from 1800 to 1900, by year, running 30 requests in parallel.

import gallicaGetter

sruWrapper = gallicaGetter.connect('sru', numWorkers=30)

records = sruWrapper.get(
    terms="Victor Hugo",
    startDate="1800",
    endDate="1900",
    grouping="year"
)

for record in records:
    print(record.getRow())

Retrieve 15 issues that mention "Brazza" from 1890 to 1900.

import gallicaGetter

sruWrapper = gallicaGetter.connect('sru')

records = sruWrapper.get(
    terms="Brazza",
    startDate="1890",
    endDate="1900",
    grouping="all",
    numRecords=15
)

for record in records:
    print(record.getRow())

Retrieve all occurrences of "Brazza" within 10 words of "Congo" in the paper "Le Temps" from 1890 to 1900.

import gallicaGetter

sruWrapper = gallicaGetter.connect('sru')

records = sruWrapper.get(
    terms="Brazza",
    startDate="1890",
    endDate="1900",
    linkTerm="Congo",
    linkDistance=10,
    grouping="all",
    codes="cb34431794k"
)

for record in records:
    print(record.getRow())

Retrieve all issues mentioning "Paris" in the papers "Le Temps" and "Le Figaro" from 1890 to 1900.

import gallicaGetter

sruWrapper = gallicaGetter.connect('sru')

recordGenerator = sruWrapper.get(
    terms="Paris",
    startDate="1890",
    endDate="1900",
    grouping="all",
    codes=["cb34431794k", "cb34355551z"]
)

for record in recordGenerator:
    print(record.getRow())

Full text example

Retrieve a volume's text from its ark code. Pass a list of codes to retrieve multiple sets of text.

import gallicaGetter

textWrapper = gallicaGetter.connect('text')

data = textWrapper.get('bpt6k270178t')

for textRecord in data:
    print(textRecord.get_ocr_quality())
    print(textRecord.get_text())

Papers example

Retrieve metadata from a Gallica periodical's code. Example for "Le Temps":

import gallicaGetter

papersWrapper = gallicaGetter.connect('papers')

metadata = papersWrapper.get('cb34431794k')

for record in metadata:
    print(record.getRow())
    print(record.isContinuous())

Issues example

The papers wrapper calls this internally, but it might be useful. For a paper code, retrieve all years with at least one issue archived on Gallica.

import gallicaGetter

issuesWrapper = gallicaGetter.connect('issues')

years = issuesWrapper.get('cb34431794k')

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gallicagetter-0.1.1.tar.gz (2.5 MB view details)

Uploaded Source

Built Distribution

gallicagetter-0.1.1-py3-none-any.whl (10.6 MB view details)

Uploaded Python 3

File details

Details for the file gallicagetter-0.1.1.tar.gz.

File metadata

  • Download URL: gallicagetter-0.1.1.tar.gz
  • Upload date:
  • Size: 2.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for gallicagetter-0.1.1.tar.gz
Algorithm Hash digest
SHA256 1439f16138ba9c06c5b8bcc3175f43bf5dce0481e0138856fa2a73b9ebc56753
MD5 25af19848420c752413e98a90678a80f
BLAKE2b-256 df1fda9581304f71e2bded54c705b7f84af928a8e6e34c6c21bda8f714798fb5

See more details on using hashes here.

File details

Details for the file gallicagetter-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for gallicagetter-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 85f07f770e67155c2111f19f36a50d444ccc500f066a0c8cf782b320261ae4a3
MD5 f523c25c16c1d8a5bcebc5ebb7b9e648
BLAKE2b-256 5e7d00f23243922f3cc1bce3cc2511fe20f97c02e7342e63b74a6d9e64f4563b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page