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fakeme-0.2.2
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تبلیغات ما
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مشاهده بیشتر
تبلیغات ما
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مشاهده بیشتر
تبلیغات ما
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مشاهده بیشترتوضیحات
Relative Data Generator: generate relative tables data, data generator for multi tables that depend on each other
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | fakeme-0.2.2 |
| نام | fakeme |
| نسخه کتابخانه | 0.2.2 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Iuliia Volkova |
| ایمیل نویسنده | xnuinside@gmail.com |
| آدرس صفحه اصلی | https://github.com/xnuinside/fakeme |
| آدرس اینترنتی | https://pypi.org/project/fakeme/ |
| مجوز | MIT |
Fakeme
^^^^^^
Data Generator for Chained and Relative Data
.. image:: https://img.shields.io/pypi/v/fakeme
:target: https://img.shields.io/pypi/v/fakeme
:alt: badge1
.. image:: https://img.shields.io/pypi/l/fakeme
:target: https://img.shields.io/pypi/l/fakeme
:alt: badge2
.. image:: https://img.shields.io/pypi/pyversions/fakeme
:target: https://img.shields.io/pypi/pyversions/fakeme
:alt: badge3
.. image:: https://github.com/xnuinside/fakeme/actions/workflows/main.yml/badge.svg
:target: https://github.com/xnuinside/fakeme/actions/workflows/main.yml/badge.svg
:alt: workflow
Documentation in process: https://fakeme.readthedocs.io/en/latest/
How to use
^^^^^^^^^^
.. code-block:: bash
pip install fakeme
Check examples: https://github.com/xnuinside/fakeme/tree/master/examples
What is Fakeme?
^^^^^^^^^^^^^^^
Fakeme is a tools that try to understand your data based on schemas & fields name and generate data relative to expected.
It create dependencies graph and generate relative data.
**Fakeme** oriented on generation data that depend on values in another tables/datasets.
Data, that knitted together as real.
**Fakeme** can help you if you want to generate several tables, that must contains in columns values,
that you will use like key for join.
For example, *user_data* table has field *user_id* and *users* table contains list of users with column id.
You want join it on user_id = id.
**Fakeme** will generate for you 2 tables with same values in those 2 columns.
It does not matter to have columns with same name you can define dependencies between tables with alias names.
TODO in next releases:
----------------------
#. Add integration with simple-ddl-parser to generated data from different SQL dialects
#. Add integration with py-models-parser to generated data from different Python models
#. Fix cases in todo folder
#. Improve test coverage
What you can to do
^^^^^^^^^^^^^^^^^^
#.
Define that fields in your datasets must contain similar values
#.
You can set up how much values must intersect, for example, you want to emulate data for email validation pipeline - you have one dataset with *incoming* messages and you need to find all emails that was not added previously in your *contacts* table.
So you will have incoming messages table, that contains, for example only 70% of emails that exist in contacts table.
#.
You can use multiply columns as a key (dependency) in another column, for example,
*player_final_report* must contains for each player same values as in other tables, for example, you have *player* table
with players details and *in_game_player_activity* with all player activities for some test reasons it's critical
to you generate *player_final_report* with 1-to-1 data from other 2 tables.
#.
Union tables. You can generate tables that contains all rows from another tables.
#.
You can define your own generator for fields on Python.
#.
You can define your own output format
Examples
^^^^^^^^
You can find usage examples in 'fakeme/examples/' folder.
Example from fakeme/examples/generate_data_related_to_existed_files:
.. code-block:: python
from fakeme import Fakeme
# to use some existed data you should provide with_data argument -
# and put inside list with the paths to the file with data
# data file must be in same format as .json or csv output of fakeme.
# so it must be [{"column_name": value, "column_name2": value2 ..},
# {"column_name" : value, "column_name2": value2 ..}..]
# Please check example in countries.json
cities_schema = [{"name": "name"},
{"name": "country_id"},
{"name": "id"}]
# all fields are strings - so I don't define type, because String will be used as default type for the column
tables_list = [('cities', cities_schema)]
Fakeme(
tables=tables_list,
with_data=['countries.json'],
rls={'cities': { # this mean: for table 'cities'
'country_id': { # and column 'country_id' in table 'cities'
'table': 'countries.json', # please take data from data in countries.json
'alias': 'id', # with alias name 'id'
'matches': 1 # and I want all values in country_id must be from countries.id column, all.
}
}},
settings={'row_numbers': 1300} # we want to have several cities for each country,
# so we need to have more rows,
).run()
# run and you will see a list of cities, that generated with same ids as in countries.json
Docs: https://fakeme.readthedocs.io/en/latest/
Changelog
---------
**v0.2.2**
Fixes:
^^^^^^
#. generate_data_related_to_existed_files example now works well (generation data based on already existing files).
#. Added integration tests to run examples
#. Examples are cleaned up, unworking samples moved to 'todo'
**v0.2.1**
#. Now you can define tables as Table class object if it will be more easily for you.
.. code-block:: python
from fakeme import Table
Table(name='table_name_example', schema='path/to/schema.json')
# or
user_schema = [{'name': 'id'},
{'name': 'title'},
{'name': 'rights', 'type': 'list', 'alias': 'right_id'},
{'name': 'description'}]
Table(name='table_name_example', schema=user_schema)
samples it tests: tests/unittests/test_core.py
#. Relationships between tables was corrected
**v0.1.0**
#. Added code changes to support Python 3.8 and upper (relative to changes in python multiprocessing module)
#. Added tests runner on GitHub
#. Autoaliasing was fixed
#. Added some unit tests
نیازمندی
| مقدار | نام |
|---|---|
| >=3.11,<4.0 | ply |
| ==1.1.5 | pandas |
| >=4.0,<5.0 | mimesis |
| >=1.8.2,<2.0.0 | pydantic |
| >=0.19.1,<0.20.0 | simple-ddl-parser |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6.2,<4.0 | Python |
نحوه نصب
نصب پکیج whl fakeme-0.2.2:
pip install fakeme-0.2.2.whl
نصب پکیج tar.gz fakeme-0.2.2:
pip install fakeme-0.2.2.tar.gz