Welcome to LookML Generator’s documentation!¶
Contents:
LookML Generator¶
Programmatically generate LookML
- Free software: Apache Software License 2.0
- Documentation: https://lookml-gen.readthedocs.io.
Features¶
- Generate LookML views programmatically
- Include dimensions, dimension groups, filters, and measures in your views
- Support Persistent Derived Tables (PDTs)
- Write output to files or StringIO buffers
Quick Start¶
Install it:
pip install lookml-gen
Use it:
from lookmlgen.view import View
from lookmlgen.field import Dimension, DimensionGroup, Measure
from lookmlgen.base_generator import GeneratorFormatOptions
view_name = 'my_view'
v = View(view_name, sql_table_name='my_table')
v.add_field(Dimension('id', type='number', primary_key=True))
v.add_field(DimensionGroup('created'))
v.add_field(Dimension('name'))
v.add_field(Dimension('quantity', type='number'))
v.add_field(Measure('total_quantity', sql='${TABLE}.quantity', type='sum'))
with open('%s.view.lkml' % view_name, 'w') as f:
v.generate_lookml(f, GeneratorFormatOptions(view_fields_alphabetical=False))
See it:
# STOP! This file was generated by an automated process.
# Any edits you make will be lost the next time it is
# re-generated.
view: my_view {
sql_table_name: my_table ;;
dimension: id {
type: number
primary_key: yes
sql: ${TABLE}.id ;;
}
dimension_group: created {
type: time
timeframes: ["time", "date", "week", "month"]
datatype: datetime
sql: ${TABLE}.created ;;
}
dimension: name {
sql: ${TABLE}.name ;;
}
dimension: quantity {
type: number
sql: ${TABLE}.quantity ;;
}
measure: total_quantity {
type: sum
sql: ${TABLE}.quantity ;;
}
}
TODOs¶
Full LookML support is far from complete right now. At the moment only very basic aspects of Views and Fields are supported and there is no support for Explores yet. However, it does cover the most common functionality, including Persistent Derived Tables. The code can easily be extended and we’d love to get pull requests to fill out additional functionality.
Credits¶
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
Installation¶
Stable release¶
To install LookML Generator, run this command in your terminal:
$ pip install lookml-gen
This is the preferred method to install LookML Generator, as it will always install the most recent stable release.
If you don’t have pip installed, this Python installation guide can guide you through the process.
From sources¶
The sources for LookML Generator can be downloaded from the Github repo.
You can either clone the public repository:
$ git clone git://github.com/symphonyrm/lookml-gen
Or download the tarball:
$ curl -OL https://github.com/symphonyrm/lookml-gen/tarball/master
Once you have a copy of the source, you can install it with:
$ python setup.py install
Usage¶
To use LookML Generator in a project:
from lookmlgen.view import View
from lookmlgen.field import Dimension, DimensionGroup, Measure
from lookmlgen.base_generator import GeneratorFormatOptions
view_name = 'my_view'
v = View(view_name, sql_table_name='my_table')
v.add_field(Dimension('id', type='number', primary_key=True))
v.add_field(DimensionGroup('created'))
v.add_field(Dimension('name'))
v.add_field(Dimension('quantity', type='number'))
v.add_field(Measure('total_quantity', sql='${TABLE}.quantity', type='sum'))
with open('%s.view.lkml' % view_name, 'w') as f:
v.generate_lookml(f, GeneratorFormatOptions(view_fields_alphabetical=False))
The contents of the file ‘my_view.view.lkml’ will be:
# STOP! This file was generated by an automated process.
# Any edits you make will be lost the next time it is
# re-generated.
view: my_view {
sql_table_name: my_table ;;
dimension: id {
type: number
primary_key: yes
sql: ${TABLE}.id ;;
}
dimension_group: created {
type: time
timeframes: ["time", "date", "week", "month"]
datatype: datetime
sql: ${TABLE}.created ;;
}
dimension: name {
sql: ${TABLE}.name ;;
}
dimension: quantity {
type: number
sql: ${TABLE}.quantity ;;
}
measure: total_quantity {
type: sum
sql: ${TABLE}.quantity ;;
}
}
lookmlgen package¶
Submodules¶
lookmlgen.base_generator module¶
File name: base_generator.py Author: joeschmid Date created: 4/8/17
-
class
lookmlgen.base_generator.
BaseGenerator
(file=None, format_options=<lookmlgen.base_generator.GeneratorFormatOptions object>)[source]¶ Bases:
object
Abstract base class for any subclass that generates LookML
Parameters: - file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
- format_options (
GeneratorFormatOptions
) – Formatting options to use during generation
-
generate_lookml
(file=None, format_options=None)[source]¶ Implement this method in subclasses to generate LookML
Parameters: - file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
- format_options (
GeneratorFormatOptions
) – Formatting options to use during generation
-
class
lookmlgen.base_generator.
GeneratorFormatOptions
(indent_spaces=2, newline_between_items=True, omit_default_field_type=True, view_fields_alphabetical=True, warning_header_comment='# STOP! This file was generated by an automated process.n# Any edits you make will be lost the next time it isn# re-generated.n', omit_time_frames_if_not_set=False)[source]¶ Bases:
object
Specify formatting options to be used during LookML generation
Parameters: - indent_spaces (int) – Number of spaces to indent
- newline_between_items (bool) – Add a newline between items
- omit_default_field_type (bool) – Leave out ‘type: string’
- warning_header_comment (string) – Text to use as a comment as the top of the file warning the user that the file will get overwritten
- omit_time_frames_if_not_set (bool) – If no time frame is specified for a dimension_group field, omit the time_frames parameter. If timeframes is not included every timeframe option will be added to the dimension group.
lookmlgen.cli module¶
lookmlgen.field module¶
File name: field.py Author: joeschmid Date created: 4/9/17
-
class
lookmlgen.field.
Dimension
(name, primary_key=None, **kwargs)[source]¶ Bases:
lookmlgen.field.Field
Generates LookML for a dimension field in a
View
Parameters: - name (string) – Name of the dimension
- primary_key (bool) – Flag to designate the field as a primary key
-
class
lookmlgen.field.
DimensionGroup
(name, timeframes=None, datatype='datetime', **kwargs)[source]¶ Bases:
lookmlgen.field.Field
- Generates LookML for a dimension_group field in a
View
Parameters: - name (string) – Name of the dimension group
- timeframes (list of strings) – Timeframes for the group
- datatype (string) – Datatype for the group, defaults to ‘datetime’
-
class
lookmlgen.field.
Field
(field_type, name, type='string', label=None, sql=None, hidden=None, file=None, group_label=None, description=None, **kwargs)[source]¶ Bases:
lookmlgen.base_generator.BaseGenerator
Base class used to generate fields within a
View
Parameters: - field_type (a class variable from
FieldType
) – Name of the view - name (string) – Name of the field
- type (string) – Type of the field contents, e.g. string, number, etc.
- label (string) – Label to use when displaying the field
- sql (string) – SQL snippet for the field
- hidden (bool) – Flag to designate the field as hidden
- file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
- group_label (string) – Group label to use for grouping the field
- description (string) – Field description that is show if a user hovers over the help link in the field picker
-
generate_lookml
(file=None, format_options=None)[source]¶ Writes LookML for a field to a file or StringIO buffer.
Parameters: - file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
- format_options (
GeneratorFormatOptions
) – Formatting options to use during generation
- field_type (a class variable from
-
class
lookmlgen.field.
FieldType
[source]¶ Bases:
object
Enum-style class used to specify known Field types
-
DIMENSION
= 1¶
-
DIMENSION_GROUP
= 2¶
-
FILTER
= 3¶
-
MEASURE
= 4¶
-
-
class
lookmlgen.field.
Filter
(name, **kwargs)[source]¶ Bases:
lookmlgen.field.Field
- Generates LookML for a filter field in a
View
Parameters: name (string) – Name of the filter
-
class
lookmlgen.field.
Measure
(name, **kwargs)[source]¶ Bases:
lookmlgen.field.Field
- Generates LookML for a measure field in a
View
Parameters: name (string) – Name of the measure
lookmlgen.util module¶
File name: util.py Author: joeschmid Date created: 4/16/17
lookmlgen.view module¶
File name: view.py Author: joeschmid Date created: 4/8/17
-
class
lookmlgen.view.
DerivedTable
(sql, sql_trigger_value=None, indexes=None, file=None)[source]¶ Bases:
lookmlgen.base_generator.BaseGenerator
Generates the LookML View parameters to support derived tables, including persistent derived tables (PDTs).
Parameters: - sql (string) – SQL statement to execute
- sql_trigger_value (string) – SQL to determine when to trigger build
- indexes (list of strings) – List of coluxn names to use as indexes
- file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
-
generate_lookml
(file=None, format_options=None)[source]¶ Writes LookML for a derived table to a file or StringIO buffer.
Parameters: - file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
- format_options (
GeneratorFormatOptions
) – Formatting options to use during generation
-
class
lookmlgen.view.
View
(name, label=None, sql_table_name=None, file=None)[source]¶ Bases:
lookmlgen.base_generator.BaseGenerator
Generates a LookML View
Initialize a View object with your parameters, add Fields such as
Dimension
,Measure
,DimensionGroup
, andFilter
, and then generate LookML for the view usinggenerate_lookml()
Parameters: - name (string) – Name of the view
- label (string) – Label to use for the view (may contain spaces)
- sql_table_name (list of strings) – Name of the SQL table to use in the view
- file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
-
generate_lookml
(file=None, format_options=None)[source]¶ Writes LookML for the view to a file or StringIO buffer.
Parameters: - file (File handle or StringIO object) – File handle of a file open for writing or a StringIO object
- format_options (
GeneratorFormatOptions
) – Formatting options to use during generation
-
set_derived_table
(derived_table)[source]¶ Adds a
DerivedTable
object to aView
Module contents¶
Contributing¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions¶
Report Bugs¶
Report bugs at https://github.com/symphonyrm/lookml-gen/issues.
If you are reporting a bug, please include:
- Your operating system name and version.
- Any details about your local setup that might be helpful in troubleshooting.
- Detailed steps to reproduce the bug.
Fix Bugs¶
Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.
Implement Features¶
Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.
Write Documentation¶
LookML Generator could always use more documentation, whether as part of the official LookML Generator docs, in docstrings, or even on the web in blog posts, articles, and such.
Submit Feedback¶
The best way to send feedback is to file an issue at https://github.com/symphonyrm/lookml-gen/issues.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project, and that contributions are welcome :)
Get Started!¶
Ready to contribute? Here’s how to set up lookml-gen for local development.
Fork the lookml-gen repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/lookml-gen.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv lookml-gen $ cd lookml-gen/ $ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 lookml-gen tests $ python setup.py test or py.test $ tox
To get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
- The pull request should include tests.
- If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
- The pull request should work for Python 2.6, 2.7, 3.3, 3.4 and 3.5, and for PyPy. Check https://travis-ci.org/symphonyrm/lookml-gen/pull_requests and make sure that the tests pass for all supported Python versions.
Credits¶
Development Lead¶
- Joe Schmid <jschmid@symphonyrm.com>
Contributors¶
- Lara Stoll <lstoll@symphonyrm.com>
- Cassandra Teale <cteale@symphonyrm.com>
History¶
0.1.0 (2017-04-17)¶
- First release on PyPI.
0.1.1 (2017-04-17)¶
- Switch to lookmlgen for module name
0.1.2 (2017-04-18)¶
- Move primary_key from Field to Dimension
- Remove stub for command line use
- Add docstrings
0.1.3 (2017-04-20)¶
- Default sql parameter of fields to ${TABLE}.field_name
0.1.4 (2017-04-20)¶
- Support sql_table_name
- Add formatting option for alphabetical view fields or not
0.1.5 (2017-04-24)¶
- Rename add_derived_table method to set_derived_table in View
0.1.7 (2017-06-20)¶
- Added formatting option to omit timeframe generating params if they’re not set
- Update pytest to 3.1.2, cryptography to 1.9, sphinx to 1.6.2
0.1.8 (2017-06-23)¶
- Add a description parameter to fields
0.1.9 (2017-06-23)¶
- Bug fix for extra newlines between field type sections