Skip to main content

enables Pythonic access to data exports from TYPO3-find

Project description

txpyfind enables access to data exports from TYPO3-find in Python. Details on the TYPO3-find setup required for data exports can be found in the section Data export in the README file of that repository.

The three JSON formats json-all, json-solr-results and raw-solr-response are already available in the TYPO3 extension, see the partials used to create the three formats.

You can use the client class available in this Python package to query these exports. A simple parser for the returned JSON objects is also available.

See slubfind for a real-world implementation example, including custom query types and instance-specific response parsing.

Installation

… via PyPI

pip install txpyfind

… or from GitHub source

pip install git+https://github.com/slub/txpyfind.git

Command-Line Usage

After installation, the txpyfind command is available (also via python -m txpyfind).

Query

Execute a search query:

txpyfind --url https://katalog.slub-dresden.de query "manfred bonitz"

With a facet filter and pagination:

txpyfind --url https://katalog.slub-dresden.de query "python" --facet format_de14="Book, E-Book" --page 1 --count 10

Multiple --facet options can be combined:

txpyfind --url https://katalog.slub-dresden.de query "python" --facet format_de14="Book, E-Book" --facet language=German

Query Type

Use --type to select a query type (e.g. author, title). Valid values depend on the TYPO3-find instance. Use --query-type (repeatable) to whitelist the types accepted by --type; if omitted, only default is allowed:

txpyfind --url https://katalog.slub-dresden.de --query-type default --query-type author --query-type title query "bonitz" --type author

Document

Fetch a single document by ID:

txpyfind --url https://katalog.slub-dresden.de --document-path id document 0-1132486122

Scroll

Fetch all results for a query:

txpyfind --url https://katalog.slub-dresden.de scroll "manfred bonitz" --batch 10

Stream results as JSONL (one JSON object per line), useful for piping:

txpyfind --url https://katalog.slub-dresden.de scroll "manfred bonitz" --stream | jq .id

Show Request URL

Use --show-url to print the request URL instead of fetching the response. This works with all subcommands:

txpyfind --url https://katalog.slub-dresden.de --show-url query "python" --facet format_de14="Book, E-Book"
txpyfind --url https://katalog.slub-dresden.de --document-path id --show-url document 0-1132486122
txpyfind --url https://katalog.slub-dresden.de --show-url scroll "python" --batch 10

Export Format

Use --export-format to select the response format. The three formats built into TYPO3-find are raw-solr-response (default), json-all, and json-solr-results. Individual instances may provide additional formats:

txpyfind --url https://katalog.slub-dresden.de --export-format json-solr-results query "manfred bonitz"
txpyfind --url https://katalog.slub-dresden.de --document-path id --export-format json-solr-results document 0-1132486122

Environment Variable

Set TXPYFIND_URL to avoid repeating the --url option:

export TXPYFIND_URL=https://katalog.slub-dresden.de
txpyfind query "manfred bonitz"
txpyfind --document-path id document 0-1132486122

Python Usage Example

from txpyfind.client import Find
# create Find instance
slub_find = Find("https://katalog.slub-dresden.de", document_path="id", export_format="json-ld")
# retrieve JSON-LD data (detail view)
slub_ld_doc = slub_find.get_document("0-1132486122")
# retrieve JSON-LD data (query view)
slub_ld_q_default = slub_find.get_query("manfred bonitz")
# query with a single facet (dict)
slub_find.get_query("python", facet={"format_de14": "Book, E-Book"})
# query with multiple facets (list of dicts)
slub_find.get_query("python", facet=[{"format_de14": "Book, E-Book"}, {"language": "German"}])

License

This project is licensed under the GNU General Public License v3 (GPLv3). See the LICENSE file for the full license text.

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

txpyfind-1.2.6.tar.gz (26.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

txpyfind-1.2.6-py3-none-any.whl (23.7 kB view details)

Uploaded Python 3

File details

Details for the file txpyfind-1.2.6.tar.gz.

File metadata

  • Download URL: txpyfind-1.2.6.tar.gz
  • Upload date:
  • Size: 26.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for txpyfind-1.2.6.tar.gz
Algorithm Hash digest
SHA256 4e4a6793c3be14f7f1204e0e734d3908ae8ecd12cc25814866ad49af66be3154
MD5 d8892eb9eebf66a964068f757529d1c1
BLAKE2b-256 503863a7cd1acb26bd806a36c09ce501589c07cc083cac255edf205ebaabebe2

See more details on using hashes here.

File details

Details for the file txpyfind-1.2.6-py3-none-any.whl.

File metadata

  • Download URL: txpyfind-1.2.6-py3-none-any.whl
  • Upload date:
  • Size: 23.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for txpyfind-1.2.6-py3-none-any.whl
Algorithm Hash digest
SHA256 f2ce9439227b173cd8b4e3431f4b3403ccd72eb70597e86ba72d3b905dd2866f
MD5 057028192c6900caa6ca6729d2886fd9
BLAKE2b-256 a3db3c0bc6abb90212b08bb94a74007f9f4393382c8c2890516f69b4592e4e6d

See more details on using hashes here.

Supported by

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