stc-geck 1.5.12

GECK (Garden Of Eden Creation Kit) is a toolkit for setting up and maintaning STC

GECK (Garden of Eden Creation Kit)

GECK is a Python library and Bash tool for access STC - the large corpus of scholarly texts. GECK includes embedded search engine Summa, helps to feed it with prepared IPFS-based databases, do search queries over these databases and iterate over all documents if you need.

Install

You should have installed IPFS

pip install stc-geck

Usage

Attention! STC does not contain every book or publication in the world. We are constantly increasing coverage but there is still a lot to do. STC contains metadata for the most of the items, but links or content fields may be absent. Metadata is split into two tables, nexus_free and nexus_science.

• nexus_science coincides with CrossRef database and contains records for all DOI-stamped things. Unique key of the table is ISBN.
• nexus_free is all non DOI-stamped items. Consists of all non DOI-stamped LibGen books and standards.

Databases can be queries through CLI or Python library

CLI

# (Optional) Launch Summa search engine, then you will not have to wait bootstrapping every time.
# It will take a time!
# If you decided to launch it, switch to another Terminal window
geck --ipfs-http-base-url 127.0.0.1:8080 --index-names='["nexus_free","nexus_science"]' - serve

# Iterate over all stored documents
geck --ipfs-http-base-url 127.0.0.1:8080 --index-names='["nexus_science"]' - documents

INFO: Setting up indices: nexus_science...
{"authors":[{"family":"Manresa Presasa","given":"JM","sequence":"first"},{"family":"Rebull Fatsinib","given":"J","sequence":"additional"},{"family":"Miravalls Figuerolac","given":"M","sequence":"additional"},{"family":"Caballol Angelatsd","given":"R","sequence":"additional"},{"family":"Minué Magañae","given":"P","sequence":"additional"},{"family":"Juan Franquetf","given":"R","sequence":"additional"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053458","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":435,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":436,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.16246586,"referenced_by_count":5,"tags":["Family Practice","General Medicine"],"title":"La espirometría en el diagnóstico de la enfermedad pulmonar obstructiva crónica en atención primaria","type":"journal-article","updated_at":1687530735}
{"authors":[{"family":"Yanes Baonza","given":"M","sequence":"first"},{"family":"Ferrer García-Borrás","given":"JM","sequence":"additional"},{"family":"Cabrera Majada","given":"A","sequence":"additional"},{"family":"Sánchez González","given":"R","sequence":"additional"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053456","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":438,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":438,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.15,"referenced_by_count":0,"tags":["Family Practice","General Medicine"],"title":"Sonambulismo asociado con zolpidem","type":"journal-article","updated_at":1687530735}
{"authors":[{"family":"Fernández Fernández","given":"I","sequence":"first"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053452","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":440,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":440,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.15,"referenced_by_count":0,"tags":["Family Practice","General Medicine"],"title":"Respuesta de la autora","type":"journal-article","updated_at":1687530735}
{"authors":[{"family":"Nieto Blanco","given":"E","sequence":"first"},{"family":"Camacho Pérez","given":"J","sequence":"additional"},{"family":"Dávila Álvarez","given":"V","sequence":"additional"},{"family":"Ledo García","given":"MP","sequence":"additional"},{"family":"Moriano Bejar","given":"P","sequence":"additional"},{"family":"Pérez Lorente","given":"M","sequence":"additional"},{"family":"Serrano Molina","given":"L","sequence":"additional"},{"family":"Fonseca Redondo","given":"B","sequence":"additional"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053465","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":410,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":414,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.18173838,"referenced_by_count":5,"tags":["Family Practice","General Medicine"],"title":"Epidemiología e impacto de la incontinencia urinaria en mujeres de 40 a 65 años de edad en un área sanitaria de Madrid","type":"journal-article","updated_at":1687530735}
{"authors":[{"family":"Burillo-Putze","given":"G","sequence":"first"},{"family":"Osuna Peña","given":"JM","sequence":"additional"},{"family":"García Marín","given":"V","sequence":"additional"},{"family":"García Marín","given":"N","sequence":"additional"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053455","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":438,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":438,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.15,"referenced_by_count":0,"tags":["Family Practice","General Medicine"],"title":"Síndrome de latigazo cervical y pruebas radiológicas","type":"journal-article","updated_at":1687530735}
{"authors":[{"family":"Castiella","given":"S","sequence":"first"},{"family":"López Vázquez","given":"MA","sequence":"additional"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053454","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":439,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":439,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.15,"referenced_by_count":0,"tags":["Family Practice","General Medicine"],"title":"Respuesta de los autores","type":"journal-article","updated_at":1687530735}
{"authors":[{"family":"Carmona Ibáñez","given":"G","sequence":"first"},{"family":"Guevara Serrano","given":"J","sequence":"additional"}],"ctr":0.1,"custom_score":1.0,"doi":"10.1157/13053464","issued_at":7376313600,"language":"es","metadata":{"container_title":"Atención Primaria","first_page":415,"issns":["0212-6567","1578-1275"],"issue":"7","last_page":419,"publisher":"Elsevier BV","volume":"32"},"page_rank":0.15,"referenced_by_count":0,"tags":["Family Practice","General Medicine"],"title":"Estudio de la marca en la prescripción de genéricos en 6 centros de salud durante el año 2001","type":"journal-article","updated_at":1687530735}

# Do a match search by field
geck --ipfs-http-base-url 127.0.0.1:8080 - search doi:10.3384/ecp1392a41

INFO: Setting up indices: nexus_science...
INFO: Searching doi:10.3384/ecp1392a41...
{"abstract": "In recent years, water hydraulics has been getting more <...> "type": "proceedings-article", "updated_at": 1687530737}

# Do a match search by word. In the example below documents are cut for displaying reason
geck --ipfs-http-base-url 127.0.0.1:8080 - search hemoglobin --limit 3

INFO: Setting up indices: nexus_science...
INFO: Searching hemoglobin...
{"abstract": "Abstract\nWe exa <...>
{"abstract": "Abstract\nUsing a <...>
{"abstract": "Regional cerebral <...>

Python

import json

from stc_geck.client import StcGeck


geck = StcGeck(
    ipfs_http_base_url='http://127.0.0.1:8080',
    index_names=('nexus_science',),
    timeout=300,
)

# Connects to IPFS and instantiate configured indices for searching It will take a time depending on your IPFS performance
await geck.start()

# GECK encapsulates Python client to Summa. It can be either external stand-alone server or embed server, but details are hidden behind SummaClient interface.
summa_client = geck.get_summa_client()

# Match search returns top-5 documents which contain `additive manufacturing` in their title, abstract or content.
search_response = await summa_client.search([{
    "index_alias": "nexus_science",
    "query": {
        "match": {
            "value": "additive manufacturing",
            "query_parser_config": {"default_fields": ["abstract", "title", "content"]}
        }
    },
    "collectors": [{"top_docs": {"limit": 5}}],
    "is_fieldnorms_scoring_enabled": False,
}])
for scored_document in search_response.collector_outputs[0].documents.scored_documents:
    document = json.loads(scored_document.document)
    print('DOI:', document['doi'])
    print('Title:', document['title'])
    print('Abstract:', document.get('abstract'))
    print('Links:', document.get('links'))
    print('-----')

More example for Python can be found in examples directory