Skip to main content

Your daily Python utility

Project description

Using this library

Installation

pip install utill

Usage syntax

from utill.__MODULE__ import __OBJECT__

Example

# Using the string module
from utill.my_string import generate_random_string

print(generate_random_string(16))

Initial set up

This package contains CLI command

utill conf init

Additional extensions

Syntax

pip install utill[__EXTENSION_NAME__]

Extension list:

  • google-cloud
  • postgresql
  • pdf

Per module usages

my_bq

Executing a query

from utill.my_bq import BQ

# Initialize BigQuery client
bq = BQ()

# Execute a query, returns iterable QueryJob
job = bq.execute_query('...')

# Convert into list for quick data conversion
results = list(job)

# Iterate the results
for row in job:
    # Do anything with the row

Uploading CSV file into BigQuery table

from utill.my_bq import BQ, Dtype, LoadStrategy

# Initialize BigQuery client
bq = BQ()

# Load the data
filename = '/path/to/file.csv'  # Your local CSV file location
bq_table_fqn = 'project.dataset.table'  # An FQN (fully qualified name) of a BigQuery table to export
columns = {
    'col1': Dtype.INT64,
    'col2': Dtype.STRING,
    'col3': Dtype.DATE,
    ...
}
partition_col = 'col3'  # Optional, for performance and cost optimization
cluster_cols = ['col1']  # Optional, for performance and cost optimization
load_strategy = LoadStrategy.APPEND  # Optional, default to APPEND
bq.upload_csv(filename, bq_table_fqn, columns, partition_col, cluster_cols, load_strategy)

Exporting query into CSV

from utill.my_bq import BQ

# Initialize BigQuery client
bq = BQ()

query = 'SELECT * FROM `project.dataset.table`'  # The query to export
filename = '/path/to/file.csv'  # Destination CSV file location
bq.download_csv(query, filename)

Exporting table into XLSX

from utill.my_bq import BQ

# Initialize BigQuery client
bq = BQ()

bq_table_fqn = 'project.dataset.table'  # An FQN (fully qualified name) of a BigQuery table to export
filename = '/path/to/file.xlsx'  # Destination XLSX file location
bq.download_xlsx(src_table_fqn, dst_filename)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rdxz2_utill-0.0.10.tar.gz (21.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rdxz2_utill-0.0.10-py3-none-any.whl (28.8 kB view details)

Uploaded Python 3

File details

Details for the file rdxz2_utill-0.0.10.tar.gz.

File metadata

  • Download URL: rdxz2_utill-0.0.10.tar.gz
  • Upload date:
  • Size: 21.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rdxz2_utill-0.0.10.tar.gz
Algorithm Hash digest
SHA256 a34a6066bdccb83789b84b9dc44c6a86a81ccf91a589f246a185f1513f8b679c
MD5 3e3c12de1792d389453ff9b8aa6b8bc2
BLAKE2b-256 3e56f66c76b68214e5a934ab49ae90630307035e7520ec6e2aa860f60a515a2b

See more details on using hashes here.

File details

Details for the file rdxz2_utill-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: rdxz2_utill-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 28.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rdxz2_utill-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 45b45e1e57630819422524b7e8b10d0691352c6e43078e8ca51b45b6cc3e0c0d
MD5 c4747860fef082e0114195cc7cd93c25
BLAKE2b-256 2a0111bdff6a571e2a5ef2605b3b4ac5aaf961332437771a3bc6cbcdb265ef5d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page