PymaciesArg

PymaciesArg is an extension that registers all pharmacies in Argentina.

Features

• Data generation and extration.

Requirements

Python 3.8+

Dependecies for this project.

• pandas==1.5.0 for build the backend.
• requests==2.28.1 for build the backend.

intallation

You can install via pip:

    $> pip install PymaciesArg

Example

Register the extension:

import os
import pathlib

import click

from pymacies_arg import (
    DepartmentsLoader,
    LocationsLoader,
    PharmaciesLoader,
    PymaciesArg,
    TABLE_NAMES,
)

from sqlalchemy import create_engine

# this path is pointing to project/
PATH = os.path.abspath(os.path.dirname(__file__))
SQLALCHEMY_DATABASE_URI = "sqlite:///" + PATH + "/db_data.db"

engine = create_engine(SQLALCHEMY_DATABASE_URI)


# this path is pointing to project/sample_app_sqlite
CURRENT_PATH = pathlib.Path(os.path.abspath(os.path.dirname(__file__)))

query1 = """CREATE TABLE IF NOT EXISTS pharmacies (
    "id"  INTEGER PRIMARY KEY,
    "name" VARCHAR(255) NOT NULL,
    "id_location"  INTEGER NOT NULL,
    "id_department"  INTEGER NOT NULL,
    "postal_code"  INTEGER NOT NULL,
    "adress" VARCHAR(255) NOT NULL);"""

query2 = """CREATE TABLE IF NOT EXISTS department (
    "id_department"  INTEGER NOT NULL PRIMARY KEY,
    "department" VARCHAR(255) NOT NULL,
    FOREIGN KEY (id_department) REFERENCES pharmacies(id_department));"""

query3 = """CREATE TABLE IF NOT EXISTS "locations"(
    "id_location"  INTEGER PRIMARY KEY,
    "location" VARCHAR(255) NOT NULL,
    FOREIGN KEY (id_location) REFERENCES pharmacies(id_location));"""


def create_table():
    with engine.connect() as conn:
        for tname in TABLE_NAMES[0:3]:
            print(f"create table {tname}")
            for q in [query1, query2, query3]:
                conn.execute(f"DROP TABLE IF EXISTS {tname};")
                conn.execute(q)


# : configure the command for run pipeline.
@click.command()
@click.option("--date", help="run date in format yyyy-mm-dd")
@click.argument("province")
def run_pipeline(date, province) -> None:

    pymacies = PymaciesArg(date, CURRENT_PATH)
    # Extract
    print("Extracting")
    file_paths = pymacies.extract_raws()

    # Transform
    print("Tansform")
    paths = pymacies.trasform_raws(file_paths, province)

    # Load
    print("Loading")
    PharmaciesLoader(engine).load_table(paths[0])
    LocationsLoader(engine).load_table(paths[1])
    DepartmentsLoader(engine).load_table(paths[2])

    # Done
    print("Done!")


if __name__ == "__main__":
    create_table()
    run_pipeline()

1. run the following command line:

   $> python -m scripts --date 2022-10-16 "BUENOS AIRES"

Recommended running instructions for dev:

1. Create a virtual environment:

   $> python3 -m venv venv

2. Activate the newly created environment:

   On macOS and Linux:

   $> source venv/bin/activate

   On Windows

   c:\> .\env\Scripts\activate
   

3. Install dependencies:

   $> (venv) python -m pip install -r requirements/dev.txt

4. Start the sample app on server locally:

   $> (venv) pip install -e .

5. Start the sample app on server locally:

   $> (venv) python application/pipeline.py
   10/16/2022 04:58:34 AM - pymacies_arg - INFO - Extracting
   10/16/2022 04:58:35 AM - pymacies_arg - INFO - Tansform
   10/16/2022 04:58:38 AM - pymacies_arg - INFO - Loading
   10/16/2022 04:58:40 AM - pymacies_arg - INFO - Done!

Links

• Documentation
• Example Application using Postgresql
• Example Application using sqlite
• PyPI Releases
• Changelog

Authors

• Ferreira, Juan David

Please submit bug reports, suggestions for improvements and patches via the (E-mail: juandavid9a0@gmail.com).

Contributors

Credits goes to these peoples:

Official repository and Issues

• https://github.com/juniors90/PymaciesArg

License

PymaciesArg is free software you can redistribute it and/or modify it under the terms of the MIT License. For more information, you can see the LICENSE file for details.