Skip to main content

A Python package for processing research data and CVLaC information

Project description

autofillcvlac

A Python package for processing research data and CVLaC (Curriculum Vitae de Latinoamérica y el Caribe) information.

Installation

pip install autofillcvlac

Usage

from autofillcvlac import flatten, authenticate_cvlac
from autofillcvlac.core import get_research_products, filter_products_by_year, create_products_dataframe

# Flatten a list of lists
nested_list = [[1, 2], [3, 4], [5]]
flat_list = flatten(nested_list)
print(flat_list)  # [1, 2, 3, 4, 5]

# Authenticate with CVLaC system
auth_result = authenticate_cvlac('Colombian', 'John Doe', '12345678', 'your_password')
if auth_result['status'] == 'success':
    print("Authentication successful!")
else:
    print(f"Authentication failed: {auth_result['message']}")

# Authenticate with CVLaC system for foreign nationality
auth_result = authenticate_cvlac('Extranjero - otra', 'John Doe', '12345678', 'your_password', 'Estados Unidos')
if auth_result['status'] == 'success':
    print("Authentication successful!")
else:
    print(f"Authentication failed: {auth_result['message']}")

# Get research products from API
response = get_research_products('67dc9885444bab3c3f1a7df2')
if response.status_code == 200:
    products = response.json().get('data', [])
    
    # Filter products by year
    filtered_products = filter_products_by_year(products, 2002)
    
    # Create DataFrame for analysis
    df = create_products_dataframe(filtered_products)
    print(df.head())

Features

  • Fetch research products from the Impactu API
  • Filter products by publication year and source
  • Convert research data to pandas DataFrames for analysis
  • Extract citation counts from multiple sources (OpenAlex, Scholar)
  • Process author information and external IDs
  • Authenticate with CVLaC (Curriculum Vitae de Latinoamérica y el Caribe) system using web automation

Development

This package is built from research workflows originally developed in Jupyter notebooks for analyzing academic publication data from Latin American and Caribbean researchers.

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

autofillcvlac-0.1.8.tar.gz (7.6 kB view details)

Uploaded Source

Built Distribution

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

autofillcvlac-0.1.8-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file autofillcvlac-0.1.8.tar.gz.

File metadata

  • Download URL: autofillcvlac-0.1.8.tar.gz
  • Upload date:
  • Size: 7.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for autofillcvlac-0.1.8.tar.gz
Algorithm Hash digest
SHA256 d7fe0014b56bb9e6c07c8c5134d2179a4dc5d8c704e17b4ef1ad6652410f89f2
MD5 666a6a60fffac8ca20ec9c83ac654b69
BLAKE2b-256 f667bb27db1b9ecc2609007929889aef23c4e389823bd41742518c8636f03734

See more details on using hashes here.

File details

Details for the file autofillcvlac-0.1.8-py3-none-any.whl.

File metadata

  • Download URL: autofillcvlac-0.1.8-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for autofillcvlac-0.1.8-py3-none-any.whl
Algorithm Hash digest
SHA256 cc38dab7eddcec1b9fd100dc3e6e44c3bfadc5713184bfe4915ade444178df92
MD5 b654f8626515dd9ec4548d41dc9eb634
BLAKE2b-256 ac7efe721232fe0f0f2459e3415d021af0d8f965cfe34c590b30477b56189446

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