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Cliente para listas quienesquien

Project description

quienesquien

test codecov PyPI

Client for the Quienesquien list service (https://app.q-detect.com/)

[!IMPORTANT] Generating a new authentication token automatically invalidates any previously created tokens. If multiple applications or services are using the same credentials, creating a new token will render the old ones invalid, potentially causing other applications to fail. To avoid issues, reuse an existing token whenever possible by storing it in an environment variable or a secure location.

Installation

pip install quienesquien

Development & Testing

The project configuration is managed through environment variables. Set them before running tests:

export $(<env.template)

To run unit tests, use pytest.

pytest

Usage

Before using the client, configure the required environment variables:

export QEQ_USER=your_user
export QEQ_CLIENT_ID=your_client_id
export QEQ_SECRET_ID=your_secret_key

Token Generation

Before performing searches, you need to create an authentication token using the create_token method:

from quienesquien import Client

auth_token = await Client.create_token(os.environ['QEQ_CLIENT_ID'], os.environ['QEQ_SECRET_ID'])

You can reuse this token in subsequent requests.

Example

Once you have the token, you can perform searches by passing it:

import os
from quienesquien import Client
from quienesquien.enums import Gender, SearchList, SearchType
from quienesquien.exc import (
    InsufficientBalanceError,
    InvalidPlanError,
    InvalidTokenError,
    PersonNotFoundError,
)

auth_token = await Client.create_token(os.environ['QEQ_CLIENT_ID'], os.environ['QEQ_SECRET_ID'])

client = Client(
    os.environ['QEQ_USER'],
    auth_token,
)

try:
    persons = await client.search(
        full_name='Andres Manuel Lopez Obrador',
        match_score=85,
        rfc='LOOA531113F15',
        curp='LOOA531113HTCPBN07',
        gender=Gender.masculino,
        birthday=dt.date(1953, 11, 13),
        search_type=SearchType.fisica,
        search_list=(SearchList.PPE, SearchList.ONU),
    )
except InsufficientBalanceError:
    print('Saldo insuficiente')
except InvalidPlanError:
    print('Plan inválido')
except InvalidTokenError:
    print('Token inválido')
except PersonNotFoundError:
    persons = []

Environment Variable (Optional)

To simplify usage, you can store the token in an environment variable:

export QEQ_AUTH_TOKEN=your_auth_token

Then, instantiate the client using the environment variable:

import os

client = Client(
    os.environ['QEQ_USER'],
    os.environ['QEQ_CLIENT_ID'],
    os.environ.get('QEQ_AUTH_TOKEN'),
)

Search Parameters

  • full_name (str): Full name of the person.
  • match_score (int): Minimum match percentage (default: 60).
  • rfc (str): Mexican RFC.
  • curp (str): Mexican CURP.
  • gender (Gender): masculino or femenino.
  • birthday (datetime.date): Date of birth.
  • search_type (SearchType): fisica or moral.
  • search_list (tuple[SearchList, ...]): Lists to search. If not provided, searches all.

The search follows a hierarchical approach: it first attempts to find a match using the RFC. If no match is found, it searches by CURP. Finally, if neither is found, it looks for a match by name. You must specify at least one search parameter: full_name, rfc or curp.

Response Structure

  • persons (list): List of matched persons.

Project details


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