
import os
import sys

from path import Path

from logging.config import fileConfig

from sqlalchemy import engine_from_config
from sqlalchemy import pool

from alembic import context
from environ import Env as get_env


env = get_env()
current_path = os.path.join(__file__)
root_path = Path(current_path).parent.parent
root_path = str(root_path)
if root_path not in sys.path:
    pass
env_path = str(os.path.join(root_path, '.env'))
if os.path.exists(env_path):
    env.read_env(env_path)

# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config

# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)

# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = None

# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.


def run_migrations_offline():
    """Run migrations in 'offline' mode.

    This configures the context with just a URL
    and not an Engine, though an Engine is acceptable
    here as well.  By skipping the Engine creation
    we don't even need a DBAPI to be available.

    Calls to context.execute() here emit the given string to the
    script output.

    """
    postgres_host = env.str('POSTGRES_HOST', default='localhost')
    postgres_user = env.str('POSTGRES_USER', default='postgres')
    postgres_password = env.str('POSTGRES_PASSWORD', default='password')
    postgres_db = env.str('POSTGRES_DB', default='hexagonal_django')
    postgres_port = env.str('POSTGRES_PORT', default='5432')
    sqlalchemy_url = f'postgresql+psycopg2://{postgres_user}:{postgres_password}@{postgres_host}:{postgres_port}/{postgres_db}'
    url = config.get_main_option("sqlalchemy.url")
    url = sqlalchemy_url
    context.configure(
        url=url,
        target_metadata=target_metadata,
        literal_binds=True,
        dialect_opts={"paramstyle": "named"},
    )

    with context.begin_transaction():
        context.run_migrations()


def run_migrations_online():
    """Run migrations in 'online' mode.

    In this scenario we need to create an Engine
    and associate a connection with the context.

    """
    connectable = engine_from_config(
        config.get_section(config.config_ini_section),
        prefix="sqlalchemy.",
        poolclass=pool.NullPool,
    )

    with connectable.connect() as connection:
        context.configure(
            connection=connection, target_metadata=target_metadata
        )

        with context.begin_transaction():
            context.run_migrations()


if context.is_offline_mode():
    run_migrations_offline()
else:
    run_migrations_online()


import os
import sys

from path import Path

from logging.config import fileConfig

from sqlalchemy import engine_from_config
from sqlalchemy import pool

from alembic import context
from environ import Env as get_env


env = get_env()
current_path = os.path.join(__file__)
root_path = Path(current_path).parent.parent
root_path = str(root_path)
if root_path not in sys.path:
    pass
env_path = str(os.path.join(root_path, '.env'))
if os.path.exists(env_path):
    env.read_env(env_path)

# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config = context.config

# Interpret the config file for Python logging.
# This line sets up loggers basically.
fileConfig(config.config_file_name)

# add your model's MetaData object here
# for 'autogenerate' support
# from myapp import mymodel
# target_metadata = mymodel.Base.metadata
target_metadata = None

# other values from the config, defined by the needs of env.py,
# can be acquired:
# my_important_option = config.get_main_option("my_important_option")
# ... etc.


def run_migrations_offline():
    """Run migrations in 'offline' mode.

    This configures the context with just a URL
    and not an Engine, though an Engine is acceptable
    here as well.  By skipping the Engine creation
    we don't even need a DBAPI to be available.

    Calls to context.execute() here emit the given string to the
    script output.

    """
    postgres_host = env.str('POSTGRES_HOST', default='localhost')
    postgres_user = env.str('POSTGRES_USER', default='postgres')
    postgres_password = env.str('POSTGRES_PASSWORD', default='password')
    postgres_db = env.str('POSTGRES_DB', default='hexagonal_django')
    postgres_port = env.str('POSTGRES_PORT', default='5432')
    sqlalchemy_url = f'postgresql+psycopg2://{postgres_user}:{postgres_password}@{postgres_host}:{postgres_port}/{postgres_db}'
    url = config.get_main_option("sqlalchemy.url")
    url = sqlalchemy_url
    context.configure(
        url=url,
        target_metadata=target_metadata,
        literal_binds=True,
        dialect_opts={"paramstyle": "named"},
    )

    with context.begin_transaction():
        context.run_migrations()


def run_migrations_online():
    """Run migrations in 'online' mode.

    In this scenario we need to create an Engine
    and associate a connection with the context.

    """
    connectable = engine_from_config(
        config.get_section(config.config_ini_section),
        prefix="sqlalchemy.",
        poolclass=pool.NullPool,
    )

    with connectable.connect() as connection:
        context.configure(
            connection=connection, target_metadata=target_metadata
        )

        with context.begin_transaction():
            context.run_migrations()


if context.is_offline_mode():
    run_migrations_offline()
else:
    run_migrations_online()

# this is the Alembic Config object, which provides # access to the values within the .ini file in use. # Interpret the config file for Python logging. # This line sets up loggers basically. # add your model's MetaData object here # for 'autogenerate' support # from myapp import mymodel # target_metadata = mymodel.Base.metadata # other values from the config, defined by the needs of env.py, # can be acquired: # my_important_option = config.get_main_option("my_important_option") # ... etc. Run migrations in 'offline' mode.      This configures the context with just a URL     and not an Engine, though an Engine is acceptable     here as well.  By skipping the Engine creation     we don't even need a DBAPI to be available.      Calls to context.execute() here emit the given string to the     script output. Run migrations in 'online' mode.      In this scenario we need to create an Engine     and associate a connection with the context.