| Name | pyDolarVenezuela JSON |
| Version |
2.0.3
JSON |
| download |
| home_page | https://github.com/fcoagz/pydolarvenezuela |
| Summary | Esta librería en Python consulta los precios del dólar y/o euro en diversos monitores en Venezuela, además de la tasa de cambio oficial BCV. |
| upload_time | 2024-10-31 06:07:02 |
| maintainer | None |
| docs_url | None |
| author | Francisco Griman |
| requires_python | >=3.9 |
| license | Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. 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While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2024 Francisco Griman Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. |
| keywords |
dolarmonitor
dolartoday
enparalelovzla
bcv
venezuela
dolarparalelo
dolarcambio
dolarvenezuela
dolartodayvenezuela
dolaroficial
dolarlibre
dolarinformal
dolarparalelovzla
dolarbcv
dolarenvenezuela
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
pyDolarVenezuela es una librería de Python diseñada para facilitar la obtención de los valores del dólar en distintos monitores en Venezuela. Esta herramienta te permite acceder a información actualizada proveniente de diversas páginas web que publican el valor del dólar en tiempo real:
| Página Web | URL | Estado
|------------|-------------|-------------|
| Exchange Monitor | https://exchangemonitor.net/dolar-venezuela |  |
| CriptoDolar | https://criptodolar.net/ |  |
| BCV (Banco Central de Venezuela) | http://www.bcv.org.ve/ |  |
| Italcambio | https://www.italcambio.com/ |  |
| Al Cambio | https://alcambio.app/ |  |
| DolarToday | https://dolartoday.com/ |  |
| EnParaleloVzla | https://t.me/enparalelovzlatelegram |  |
pyDolarVenezuela tiene como objetivo principal brindar una solución eficiente y confiable para acceder a información relevante sobre el valor del dólar en Venezuela, ofreciendo así una herramienta valiosa para desarrolladores interesados en trabajar en este ámbito.
## Características
### Base de datos
[](https://supabase.com)
pyDolarVenezuela utiliza [Supabase](https://supabase.com) para la integración de la base de datos Postgres. También puede implementar otro servidor de base de datos si lo prefiere o localmente.
```python
from pyDolarVenezuela import LocalDatabase, Database
local = LocalDatabase(
motor='sqlite',
url='database.db' # Ubicación de la base de datos
)
db_server = Database(
motor='postgresql',
host='postgres-cloud-host',
port='postgres-cloud-port',
user='postgres-cloud-user',
password='your-secure-password',
database='postgres-cloud-database-name'
)
```
**Nota:** Se pueda utilizar con SQLAlchemy.
### Almacenamiento en caché
Proporciona almacenamiento en caché integrado para una rápida recuperación de datos para mejorar el rendimiento al realizar solicitudes a la misma fuente. Puedes configurar el tiempo de espera si lo deseas.
```python
from datetime import timedelta
from pyDolarVenezuela import Monitor
monitor = Monitor(..., ttl=timedelta(minutes=5))
```
## Actividad
## Instalación
``` sh
pip install pyDolarVenezuela
```
## Uso
### Importación de las páginas
El módulo `pages`, encontrarás una variedad de atributos que contienen información sobre una página específica de la que deseas obtener los datos. Adicionalmente deberás importar la clase `Monitor`, cuyos parámetros será la página que deseas utilizar, la moneda en la que se expresarán los precios (`USD`, `EUR`) y entre otras.
```python
from pyDolarVenezuela.pages import AlCambio, BCV, CriptoDolar, DolarToday, ExchangeMonitor, EnParaleloVzla, Italcambio
from pyDolarVenezuela import Monitor
monitor = Monitor(AlCambio, 'USD')
```
Como se mencionó anteriormente, puede utilizar una base de datos (que es útil para calcular cambios, porcentajes, colores y símbolos).
El parámetro `currency` de la clase `Monitor` por defecto tiene el valor: `USD`, verifique que la página de la que desea obtener los datos pueda expresar precios en `EUR`.
```python
print(AlCambio.currencies)
>> ['usd']
```
### Métodos disponibles
#### `get_all_monitors`
Se utiliza para obtener todos los datos de los monitores que se encuentran en dicha página.
#### `get_value_monitors`
Se utiliza para obtener datos de un monitor específico y acceder a ellos fácilmente.
Argumentos:
- `type_monitor`: El código del monitor del cual se desea obtener información.
#### `get_prices_history`
Le permite obtener el historial de precios de cierre de un monitor específico.
Argumentos:
- `type_monitor`: El código del monitor del cual se desea obtener información.
- `start_date`: Fecha de inicio del historial.
- `end_date`: Fecha de fin del historial. Por defecto es la fecha actual.
#### `get_daily_price_monitor`
Le permite obtener todos los cambios realizados en un día para un monitor específico.
Argumentos:
- `type_monitor`: El código del monitor del cual se desea obtener información.
- `date`: Fecha de la cual se desea obtener los precios.
**Nota**: Para `get_prices_history` y `get_daily_price_monitor`. Debe establecer una base de datos y puede utilizarla siempre que mantenga el script activo y alimente la base de datos.
#### `currency_converter`
Convierte una cantidad de dinero de una moneda a otra utilizando los datos de un monitor específico.
Argumentos:
- `type`: Tipo de conversión. (VES, USD, EUR)
- `value`: Monto a convertir.
- `monitor`: La data del monitor una vez obtenido sus datos.
### Código de ejemplo
```python
from pyDolarVenezuela.pages import AlCambio, BCV, CriptoDolar, DolarToday, ExchangeMonitor, EnParaleloVzla, Italcambio
from pyDolarVenezuela import Monitor, Database, currency_converter
db = Database(...)
monitor = Monitor(AlCambio, 'USD', db=db)
# Obtener los valores de todos los monitores
all_monitors = monitor.get_all_monitors()
# Obtener el valor del dólar en EnParaleloVzla
paralelo = monitor.get_value_monitors("enparalelovzla")
last_update = paralelo.price
# Obtener el historial de precios de un monitor durante una semana.
history = monitor.get_prices_history("enparalelovzla", "01-07-2024", "05-07-2024")
# Obtener todos los cambios que se realizaron de un monitor.
changes = monitor.get_daily_price_monitor("enparalelovzla", "30-07-2024")
# "history", "changes". Obtendrá una lista de objetos.
# Conversion
data_paralelo = monitor.get_value_monitors("enparalelovzla")
price_in_dolares = currency_converter(
type='VES', # VES | USD | EUR
value=1000, # Bs. 1000
monitor=information_dolar # Datos del dolar
)
```
### Configuración de fecha
Respetando el tipado de las fechas. Te muestro cómo puedes formatearlo.
**Nota**: La fecha y la hora se almacenan internamente en UTC, por lo que puede especificar la zona horaria que desea mostrar cuando se actualizó el monitor por última vez.
```python
from datetime import datetime
from pytz import timezone
from pyDolarVenezuela.pages import AlCambio
from pyDolarVenezuela import Monitor
zone = timezone('America/Caracas')
monitor = Monitor(AlCambio, 'USD')
paralelo = monitor.get_value_monitors("enparalelovzla")
last_update_dt = paralelo.last_update
last_update_ve = last_update_dt.astimezone(zone)
formatted_last_update = last_update_ve.strftime('%d/%m/%Y, %I:%M %p')
print(formatted_last_update)
```
`formatted_last_update` Especifica cómo se debe formatear la fecha como una cadena.
## Contributores
<a href="https://github.com/fcoagz/pydolarvenezuela/graphs/contributors">
<img src="https://contrib.rocks/image?repo=fcoagz/pydolarvenezuela"/>
</a>
Raw data
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"_id": null,
"home_page": "https://github.com/fcoagz/pydolarvenezuela",
"name": "pyDolarVenezuela",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.9",
"maintainer_email": null,
"keywords": "dolarmonitor, dolartoday, enparalelovzla, bcv, venezuela, dolarparalelo, dolarcambio, dolarvenezuela, dolartodayvenezuela, dolaroficial, dolarlibre, dolarinformal, dolarparalelovzla, dolarbcv, dolarenvenezuela",
"author": "Francisco Griman",
"author_email": "Francisco Griman <grihardware@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/b5/af/6f6ce39b779d9ef653ce12a6e5a748ec8ec81f4f6c22d15992f7a2aef9ef/pydolarvenezuela-2.0.3.tar.gz",
"platform": null,
"description": "\r\n\r\npyDolarVenezuela es una librer\u00eda de Python dise\u00f1ada para facilitar la obtenci\u00f3n de los valores del d\u00f3lar en distintos monitores en Venezuela. Esta herramienta te permite acceder a informaci\u00f3n actualizada proveniente de diversas p\u00e1ginas web que publican el valor del d\u00f3lar en tiempo real:\r\n\r\n| P\u00e1gina Web | URL | Estado\r\n|------------|-------------|-------------|\r\n| Exchange Monitor | https://exchangemonitor.net/dolar-venezuela |  |\r\n| CriptoDolar | https://criptodolar.net/ |  |\r\n| BCV (Banco Central de Venezuela) | http://www.bcv.org.ve/ |  |\r\n| Italcambio | https://www.italcambio.com/ |  |\r\n| Al Cambio | https://alcambio.app/ |  |\r\n| DolarToday | https://dolartoday.com/ |  |\r\n| EnParaleloVzla | https://t.me/enparalelovzlatelegram |  |\r\n\r\npyDolarVenezuela tiene como objetivo principal brindar una soluci\u00f3n eficiente y confiable para acceder a informaci\u00f3n relevante sobre el valor del d\u00f3lar en Venezuela, ofreciendo as\u00ed una herramienta valiosa para desarrolladores interesados en trabajar en este \u00e1mbito.\r\n\r\n## Caracter\u00edsticas\r\n\r\n### Base de datos\r\n\r\n[](https://supabase.com)\r\n\r\npyDolarVenezuela utiliza [Supabase](https://supabase.com) para la integraci\u00f3n de la base de datos Postgres. Tambi\u00e9n puede implementar otro servidor de base de datos si lo prefiere o localmente.\r\n\r\n```python\r\nfrom pyDolarVenezuela import LocalDatabase, Database\r\n\r\nlocal = LocalDatabase(\r\n motor='sqlite',\r\n url='database.db' # Ubicaci\u00f3n de la base de datos\r\n)\r\n\r\ndb_server = Database(\r\n motor='postgresql',\r\n host='postgres-cloud-host',\r\n port='postgres-cloud-port',\r\n user='postgres-cloud-user',\r\n password='your-secure-password',\r\n database='postgres-cloud-database-name'\r\n)\r\n```\r\n\r\n**Nota:** Se pueda utilizar con SQLAlchemy.\r\n\r\n### Almacenamiento en cach\u00e9\r\n\r\nProporciona almacenamiento en cach\u00e9 integrado para una r\u00e1pida recuperaci\u00f3n de datos para mejorar el rendimiento al realizar solicitudes a la misma fuente. Puedes configurar el tiempo de espera si lo deseas.\r\n\r\n```python\r\nfrom datetime import timedelta\r\nfrom pyDolarVenezuela import Monitor\r\n\r\nmonitor = Monitor(..., ttl=timedelta(minutes=5))\r\n```\r\n\r\n## Actividad\r\n\r\n![Alt](https://repobeats.axiom.co/api/embed/4ee3c595fcdb3081e280a1e8f4f81af9767a37f7.svg \"Repobeats analytics image\")\r\n\r\n## Instalaci\u00f3n\r\n\r\n``` sh\r\npip install pyDolarVenezuela\r\n```\r\n\r\n## Uso\r\n\r\n### Importaci\u00f3n de las p\u00e1ginas\r\n\r\nEl m\u00f3dulo `pages`, encontrar\u00e1s una variedad de atributos que contienen informaci\u00f3n sobre una p\u00e1gina espec\u00edfica de la que deseas obtener los datos. Adicionalmente deber\u00e1s importar la clase `Monitor`, cuyos par\u00e1metros ser\u00e1 la p\u00e1gina que deseas utilizar, la moneda en la que se expresar\u00e1n los precios (`USD`, `EUR`) y entre otras.\r\n\r\n```python\r\nfrom pyDolarVenezuela.pages import AlCambio, BCV, CriptoDolar, DolarToday, ExchangeMonitor, EnParaleloVzla, Italcambio\r\nfrom pyDolarVenezuela import Monitor\r\n\r\nmonitor = Monitor(AlCambio, 'USD')\r\n```\r\n\r\nComo se mencion\u00f3 anteriormente, puede utilizar una base de datos (que es \u00fatil para calcular cambios, porcentajes, colores y s\u00edmbolos).\r\n\r\nEl par\u00e1metro `currency` de la clase `Monitor` por defecto tiene el valor: `USD`, verifique que la p\u00e1gina de la que desea obtener los datos pueda expresar precios en `EUR`.\r\n\r\n```python\r\nprint(AlCambio.currencies)\r\n\r\n>> ['usd']\r\n```\r\n\r\n### M\u00e9todos disponibles\r\n\r\n#### `get_all_monitors`\r\n\r\nSe utiliza para obtener todos los datos de los monitores que se encuentran en dicha p\u00e1gina.\r\n\r\n#### `get_value_monitors`\r\n\r\nSe utiliza para obtener datos de un monitor espec\u00edfico y acceder a ellos f\u00e1cilmente.\r\n\r\nArgumentos:\r\n\r\n- `type_monitor`: El c\u00f3digo del monitor del cual se desea obtener informaci\u00f3n.\r\n\r\n#### `get_prices_history`\r\n\r\nLe permite obtener el historial de precios de cierre de un monitor espec\u00edfico.\r\n\r\nArgumentos:\r\n\r\n- `type_monitor`: El c\u00f3digo del monitor del cual se desea obtener informaci\u00f3n.\r\n- `start_date`: Fecha de inicio del historial.\r\n- `end_date`: Fecha de fin del historial. Por defecto es la fecha actual.\r\n\r\n#### `get_daily_price_monitor`\r\n\r\nLe permite obtener todos los cambios realizados en un d\u00eda para un monitor espec\u00edfico.\r\n\r\nArgumentos:\r\n\r\n- `type_monitor`: El c\u00f3digo del monitor del cual se desea obtener informaci\u00f3n.\r\n- `date`: Fecha de la cual se desea obtener los precios.\r\n\r\n**Nota**: Para `get_prices_history` y `get_daily_price_monitor`. Debe establecer una base de datos y puede utilizarla siempre que mantenga el script activo y alimente la base de datos.\r\n\r\n#### `currency_converter`\r\n\r\nConvierte una cantidad de dinero de una moneda a otra utilizando los datos de un monitor espec\u00edfico.\r\n\r\nArgumentos:\r\n\r\n- `type`: Tipo de conversi\u00f3n. (VES, USD, EUR)\r\n- `value`: Monto a convertir.\r\n- `monitor`: La data del monitor una vez obtenido sus datos.\r\n\r\n### C\u00f3digo de ejemplo\r\n\r\n```python\r\nfrom pyDolarVenezuela.pages import AlCambio, BCV, CriptoDolar, DolarToday, ExchangeMonitor, EnParaleloVzla, Italcambio\r\nfrom pyDolarVenezuela import Monitor, Database, currency_converter\r\n\r\ndb = Database(...)\r\nmonitor = Monitor(AlCambio, 'USD', db=db)\r\n\r\n# Obtener los valores de todos los monitores\r\nall_monitors = monitor.get_all_monitors()\r\n\r\n# Obtener el valor del d\u00f3lar en EnParaleloVzla\r\nparalelo = monitor.get_value_monitors(\"enparalelovzla\")\r\nlast_update = paralelo.price\r\n\r\n# Obtener el historial de precios de un monitor durante una semana.\r\nhistory = monitor.get_prices_history(\"enparalelovzla\", \"01-07-2024\", \"05-07-2024\")\r\n\r\n# Obtener todos los cambios que se realizaron de un monitor.\r\nchanges = monitor.get_daily_price_monitor(\"enparalelovzla\", \"30-07-2024\")\r\n\r\n# \"history\", \"changes\". Obtendr\u00e1 una lista de objetos.\r\n\r\n# Conversion\r\ndata_paralelo = monitor.get_value_monitors(\"enparalelovzla\")\r\nprice_in_dolares = currency_converter(\r\n type='VES', # VES | USD | EUR\r\n value=1000, # Bs. 1000\r\n monitor=information_dolar # Datos del dolar\r\n)\r\n```\r\n\r\n### Configuraci\u00f3n de fecha\r\n\r\nRespetando el tipado de las fechas. Te muestro c\u00f3mo puedes formatearlo.\r\n\r\n**Nota**: La fecha y la hora se almacenan internamente en UTC, por lo que puede especificar la zona horaria que desea mostrar cuando se actualiz\u00f3 el monitor por \u00faltima vez.\r\n\r\n```python\r\nfrom datetime import datetime\r\nfrom pytz import timezone\r\nfrom pyDolarVenezuela.pages import AlCambio\r\nfrom pyDolarVenezuela import Monitor\r\n\r\nzone = timezone('America/Caracas')\r\nmonitor = Monitor(AlCambio, 'USD')\r\n\r\nparalelo = monitor.get_value_monitors(\"enparalelovzla\")\r\nlast_update_dt = paralelo.last_update\r\nlast_update_ve = last_update_dt.astimezone(zone)\r\n\r\nformatted_last_update = last_update_ve.strftime('%d/%m/%Y, %I:%M %p')\r\n\r\nprint(formatted_last_update)\r\n```\r\n`formatted_last_update` Especifica c\u00f3mo se debe formatear la fecha como una cadena.\r\n\r\n## Contributores\r\n\r\n<a href=\"https://github.com/fcoagz/pydolarvenezuela/graphs/contributors\">\r\n <img src=\"https://contrib.rocks/image?repo=fcoagz/pydolarvenezuela\"/>\r\n</a>\r\n",
"bugtrack_url": null,
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"summary": "Esta librer\u00eda en Python consulta los precios del d\u00f3lar y/o euro en diversos monitores en Venezuela, adem\u00e1s de la tasa de cambio oficial BCV.",
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