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import math
import psycopg
import click
from flask import current_app, g
def get_db():
"""Returns database connection
sqlite3: https://docs.python.org/3/library/sqlite3.html
"""
if 'db' not in g:
# g.db = sqlite3.connect(
# current_app.config['DATABASE'],
# detect_types=sqlite3.PARSE_DECLTYPES
# )
# # Return rows that behave like dicts
# g.db.row_factory = sqlite3.Row
g.db = psycopg.connect(
"dbname=ustayml user=mitsuo",
row_factory=psycopg.rows.dict_row
)
return g.db
def close_db(e=None):
db = g.pop('db', None)
if db:
db.close()
# CLI:
# https://flask.palletsprojects.com/en/3.0.x/cli/
def init_db():
db = get_db()
with current_app.open_resource('schema.sql') as f:
db.execute(f.read().decode('utf8'))
@click.command('init-db')
def init_db_command():
"""Clear the existing data and create new tables."""
init_db()
click.echo('Initialized the database.')
# Register function with application
def init_app(app):
app.teardown_appcontext(close_db) # callback after returning response
app.cli.add_command(init_db_command)
# Helper functions
def get_paginated_rows(query: str, params: list=[], pagination: dict={}):
limit = pagination.get('pagesize', 100)
offset = pagination.get('page', 0) * limit
with get_db().cursor() as cursor:
cursor.execute(f"{query} LIMIT %s OFFSET %s;", params + [limit, offset])
pagination['n_pages'] = math.ceil(cursor.rowcount / limit)
pagination['rowcount'] = cursor.rowcount
rows = cursor.fetchall()
return rows
def get_row(query: str, params: list=[]):
with get_db().cursor() as cursor:
cursor.execute(query, params)
row = cursor.fetchone()
return row
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