osc-ingest-tools

python tools to assist with standardized data ingestion workflows

Install from PyPi

pip install osc-ingest-tools

Examples

>>> from osc_ingest_trino import *

>>> import pandas as pd

>>> data = [['tom', 10], ['nick', 15], ['juli', 14]]

>>> df = pd.DataFrame(data, columns = ['First Name', 'Age In Years']).convert_dtypes()

>>> df
  First Name  Age In Years
0        tom            10
1       nick            15
2       juli            14

>>> enforce_sql_column_names(df)
  first_name  age_in_years
0        tom            10
1       nick            15
2       juli            14

>>> enforce_sql_column_names(df, inplace=True)

>>> df
  first_name  age_in_years
0        tom            10
1       nick            15
2       juli            14

>>> df.info(verbose=True)
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3 entries, 0 to 2
Data columns (total 2 columns):
 #   Column        Non-Null Count  Dtype 
---  ------        --------------  ----- 
 0   first_name    3 non-null      string
 1   age_in_years  3 non-null      Int64 
dtypes: Int64(1), string(1)
memory usage: 179.0 bytes

>>> p = create_table_schema_pairs(df)

>>> print(p)
    first_name varchar,
    age_in_years bigint

>>> 

Adding custom type mappings to create_table_schema_pairs

>>> df = pd.DataFrame(data, columns = ['First Name', 'Age In Years'])

>>> enforce_sql_column_names(df, inplace=True)

>>> df.info(verbose=True)
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 3 entries, 0 to 2
Data columns (total 2 columns):
 #   Column        Non-Null Count  Dtype 
---  ------        --------------  ----- 
 0   first_name    3 non-null      object
 1   age_in_years  3 non-null      int64 
dtypes: int64(1), object(1)
memory usage: 176.0+ bytes

>>> p = create_table_schema_pairs(df, typemap={'object':'varchar'})

>>> print(p)
    first_name varchar,
    age_in_years bigint

>>>

build and upload a new release

• update all occurrences of __version__
• python3 setup.py clean
• python3 setup.py sdist
• twine check dist/*
• twine upload dist/*
• push latest to repo
• create new release on github

python packaging resources

• https://packaging.python.org/
• https://packaging.python.org/tutorials/packaging-projects/
• https://realpython.com/pypi-publish-python-package/