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colab_logica.py
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#!/usr/bin/python
#
# Copyright 2020 Google LLC
#
# 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.
"""Library for using Logica in CoLab."""
from decimal import Decimal
import getpass
import json
import re
from .common import color
from .common import concertina_lib
from .common import psql_logica
from .compiler import functors
from .compiler import rule_translate
from .compiler import universe
from .type_inference.research import infer
import IPython
from IPython.core.magic import register_cell_magic
from IPython.display import display
from IPython.display import HTML
import os
import pandas
import duckdb
from .parser_py import parse
from .common import sqlite3_logica
from .common import duckdb_logica
BQ_READY = True # By default.
try:
from google.cloud import bigquery
except:
BQ_READY = False
print('Could not import google.cloud.bigquery.')
try:
from google.colab import auth
except:
BQ_READY = False
print('Could not import google.cloud.auth.')
try:
from google.colab import widgets
WIDGETS_IMPORTED = True
except:
WIDGETS_IMPORTED = False
print('Could not import google.colab.widgets.')
PROJECT = None
# TODO: Should this be renamed to PSQL_ENGINE, PSQL_CONNECTION?
DB_ENGINE = None
DB_CONNECTION = None
USER_AUTHENTICATED = False
TABULATED_OUTPUT = True
SHOW_FULL_QUERY = True
PREAMBLE = None
if hasattr(concertina_lib, 'graphviz'):
DISPLAY_MODE = 'colab'
else:
DISPLAY_MODE = 'colab-text'
DEFAULT_ENGINE = 'duckdb'
def SetPreamble(preamble):
global PREAMBLE
PREAMBLE = preamble
def SetProject(project):
global PROJECT
PROJECT = project
def SetDbConnection(connection):
global DB_CONNECTION
DB_CONNECTION = connection
REMEMBERED_PREVIOUS_MODE = None
def ConnectToPostgres(mode='interactive'):
global REMEMBERED_PREVIOUS_MODE
if mode == 'reconnect':
mode = REMEMBERED_PREVIOUS_MODE
print('Reconnecting to Postgres.')
else:
REMEMBERED_PREVIOUS_MODE = mode
connection = psql_logica.ConnectToPostgres(mode)
SetDbConnection(connection)
global DEFAULT_ENGINE
DEFAULT_ENGINE = 'psql'
def EnsureAuthenticatedUser():
global USER_AUTHENTICATED
global PROJECT
if USER_AUTHENTICATED:
return
auth.authenticate_user()
if PROJECT is None:
print("Please enter project_id to use for BigQuery queries.")
PROJECT = input()
print("project_id is set to %s" % PROJECT)
print("You can change it with logica.colab_logica.SetProject command.")
USER_AUTHENTICATED = True
def SetTabulatedOutput(tabulated_output):
global TABULATED_OUTPUT
global SHOW_FULL_QUERY
TABULATED_OUTPUT = tabulated_output
SHOW_FULL_QUERY = TABULATED_OUTPUT
if not WIDGETS_IMPORTED:
SetTabulatedOutput(False)
def TabBar(*args):
"""Returns a real TabBar or a mock. Useful for UIs that don't support JS."""
if TABULATED_OUTPUT:
return widgets.TabBar(*args)
class MockTab:
def __init__(self):
pass
def __enter__(self):
pass
def __exit__(self, *x):
pass
class MockTabBar:
def __init__(self):
pass
def output_to(self, x):
return MockTab()
return MockTabBar()
@register_cell_magic
def logica(line, cell):
Logica(line, cell, run_query=True)
def ParseList(line):
line = line.strip()
if not line:
predicates = []
else:
predicates = [p.strip() for p in line.split(',')]
return predicates
def ParseListAndMaybeFile(line):
if '>' in line:
predicate_list_str, storage_file = line.split('>')
return ParseList(predicate_list_str.strip()), storage_file.strip()
else:
return ParseList(line), None
def RunSQL(sql, engine, connection=None, is_final=False):
if engine == 'bigquery':
client = bigquery.Client(project=PROJECT)
return client.query(sql).to_dataframe()
elif engine == 'psql':
if is_final:
cursor = psql_logica.PostgresExecute(sql, connection)
rows = cursor.fetchall()
df = pandas.DataFrame(
rows, columns=[d[0] for d in cursor.description])
df = df.applymap(psql_logica.DigestPsqlType)
return df
else:
psql_logica.PostgresExecute(sql, connection)
elif engine == 'duckdb':
if is_final:
df = connection.sql(sql).df()
for c in df.columns:
if df.dtypes[c] == 'float64':
if df[c].isna().values.any():
return df
if set(df[c] - df[c].astype(int)) == {0.0}:
df[c] = df[c].astype(int)
return df
else:
connection.sql(sql)
elif engine == 'sqlite':
try:
if is_final:
# For final predicates this SQL is always a single statement.
return pandas.read_sql(sql, connection)
else:
connection.executescript(sql)
except Exception as e:
print("\n--- SQL ---")
print(sql)
ShowError("Error while executing SQL:\n%s" % e)
raise e
return None
else:
raise Exception('Logica only supports BigQuery, PostgreSQL and SQLite '
'for now.')
def Ingress(table_name, csv_file_name):
with open(csv_file_name) as csv_data_io:
cursor = DB_CONNECTION.cursor()
cursor.copy_expert(
'COPY %s FROM STDIN WITH CSV HEADER' % table_name,
csv_data_io)
DB_CONNECTION.commit()
class SqliteRunner(object):
def __init__(self):
self.connection = sqlite3_logica.SqliteConnect()
# TODO: Sqlite runner should not be accepting an engine.
def __call__(self, sql, engine, is_final):
return RunSQL(sql, engine, self.connection, is_final)
class DuckdbRunner(object):
def __init__(self):
global DB_CONNECTION
if not DB_CONNECTION:
DB_CONNECTION = duckdb.connect()
self.connection = DB_CONNECTION
def __call__(self, sql, engine, is_final):
return RunSQL(sql, engine, self.connection, is_final)
class PostgresRunner(object):
def __init__(self):
global DB_CONNECTION
global DB_ENGINE
if not DB_CONNECTION:
try:
ConnectToLocalPostgres()
except:
pass
if not DB_CONNECTION:
print("Assuming this is running on Google CoLab in a temporary")
print("environment.")
print("Would you like to install and run postgres?")
user_choice = input('y or N? ')
if user_choice != 'y':
print('User declined.')
print('Bailing out.')
return
PostgresJumpStart()
self.connection = DB_CONNECTION
def __call__(self, sql, engine, is_final):
global DB_CONNECTION
if self.connection and self.connection.closed and REMEMBERED_PREVIOUS_MODE:
ConnectToPostgres('reconnect')
self.connection = DB_CONNECTION
return RunSQL(sql, engine, self.connection, is_final)
def ShowError(error_text):
print(color.Format('[ {error}Error{end} ] ' + error_text))
class ExecutionObserver:
def __init__(self, bar, predicates):
self.bar = bar
self.predicates = predicates
self.observed = set()
self.table_locations = {}
def ObserveTable(self, predicate, table):
assert predicate in self.table_locations
self.table_locations[predicate].update(HTML(table.to_html()))
def RegisterTableLocation(self, predicate, table_location):
self.table_locations[predicate] = table_location
def Logica(line, cell, run_query):
"""Running Logica predicates and storing results."""
predicates, maybe_storage_file = ParseListAndMaybeFile(line)
if not predicates:
ShowError('No predicates to run.')
return
try:
program = ';\n'.join(s for s in [PREAMBLE, cell] if s)
parsed_rules = parse.ParseFile(program)['rule']
except parse.ParsingException as e:
e.ShowMessage()
return
try:
program = universe.LogicaProgram(
parsed_rules,
user_flags={'logica_default_engine': DEFAULT_ENGINE})
except functors.FunctorError as e:
e.ShowMessage()
return
except rule_translate.RuleCompileException as e:
e.ShowMessage()
return
except infer.TypeErrorCaughtException as e:
e.ShowMessage()
return
engine = program.annotations.Engine()
if engine == 'bigquery' and not BQ_READY:
ShowError(
'BigQuery client and/or authentification is not installed. \n'
'It is the easiest to run BigQuery requests from Google CoLab:\n'
' https://colab.research.google.com/.\n'
'Note that running Logica on SQLite requires no installation.\n'
'This could be a good fit for working with small data or learning Logica.\n'
'Use {warning}@Engine("sqlite");{end} annotation in your program to use SQLite.')
return
bar = TabBar(predicates + ['(Log)'])
logs_idx = len(predicates)
executions = []
sub_bars = []
ip = IPython.get_ipython()
observer = None
if run_query:
observer = ExecutionObserver(bar, predicates)
for idx, predicate in enumerate(predicates):
with bar.output_to(logs_idx):
try:
if storage_file_name := maybe_storage_file:
with open(storage_file_name, 'w') as storage_file:
storage_file.write(cell)
print('\x1B[3mProgram saved to %s.\x1B[0m' % storage_file_name)
sql = program.FormattedPredicateSql(predicate)
executions.append(program.execution)
ip.push({predicate + '_sql': sql})
except rule_translate.RuleCompileException as e:
print('Encountered error when compiling %s.' % predicate)
e.ShowMessage()
return
# Publish output to Colab cell.
with bar.output_to(idx):
sub_bar = TabBar(['SQL', 'Result'])
sub_bars.append(sub_bar)
with sub_bar.output_to(0):
if SHOW_FULL_QUERY:
print(
color.Format(
'The following query is stored at {warning}%s{end} '
'variable.' % (
predicate + '_sql')))
print(sql)
else:
print('Query is stored at %s variable.' %
color.Warn(predicate + '_sql'))
with sub_bar.output_to(1):
print(
color.Format(
'The following table is stored at {warning}%s{end} '
'variable.' %
predicate))
table_location = display(HTML('<i>table to be rendered</i>'), display_id=True)
observer.RegisterTableLocation(predicate, table_location)
with bar.output_to(logs_idx):
if engine == 'sqlite':
sql_runner = SqliteRunner()
elif engine == 'psql':
sql_runner = PostgresRunner()
elif engine == 'duckdb':
sql_runner = DuckdbRunner()
elif engine == 'bigquery':
EnsureAuthenticatedUser()
sql_runner = RunSQL
else:
raise Exception('Logica only supports BigQuery, PostgreSQL and SQLite '
'for now.')
try:
result_map = concertina_lib.ExecuteLogicaProgram(
executions, sql_runner=sql_runner, sql_engine=engine,
display_mode=DISPLAY_MODE,
observer=observer)
except infer.TypeErrorCaughtException as e:
e.ShowMessage()
return
for idx, predicate in enumerate(predicates):
t = result_map[predicate]
ip.push({predicate: t})
with bar.output_to(idx):
with sub_bars[idx].output_to(1):
if run_query:
observer.ObserveTable(predicate, t)
else:
print('The query was not run.')
print(' ') # To activate the tabbar.
def ConnectToLocalPostgres():
import psycopg2
connection = psycopg2.connect(host='localhost', database='logica', user='logica', password='logica')
connection.autocommit = True
print('Connected.')
global DEFAULT_ENGINE
global DB_CONNECTION
DEFAULT_ENGINE = 'psql'
DB_CONNECTION = connection
def PostgresJumpStart():
# Install postgresql server.
print("Installing and configuring an empty PostgreSQL database.")
result = 0
result += os.system('sudo apt-get -y -qq update')
result += os.system('sudo apt-get -y -qq install postgresql')
result += os.system('sudo service postgresql start')
# Ignoring user creation error, as they may already exist.
result += 0 * os.system(
'sudo -u postgres psql -c "CREATE USER logica WITH SUPERUSER"')
result += os.system(
'sudo -u postgres psql -c "ALTER USER logica PASSWORD \'logica\';"')
result += os.system(
'sudo -u postgres psql -U postgres -c \'CREATE DATABASE logica;\'')
if result != 0:
print("""Installation failed. Please try the following manually:
# Install Logica.
!pip install logica
# Install postgresql server.
!sudo apt-get -y -qq update
!sudo apt-get -y -qq install postgresql
!sudo service postgresql start
# Prepare database for Logica.
!sudo -u postgres psql -c "CREATE USER logica WITH SUPERUSER"
!sudo -u postgres psql -c "ALTER USER logica PASSWORD 'logica';"
!sudo -u postgres psql -U postgres -c 'CREATE DATABASE logica;'
# Connect to the database.
from logica import colab_logica
import psycopg2
connection = psycopg2.connect(host='localhost', database='logica', user='logica', password='logica')
connection.autocommit = True
colab_logica.DEFAULT_ENGINE = 'psql'
colab_logica.SetDbConnection(connection)
""")
return
print('Installation succeeded. Connecting...')
# Connect to the database.
ConnectToLocalPostgres()