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api: stop using 'Optional', 'OAttr'/'OptionalAttr' classes
There does not seem to be a good reason to use the 'Optional' and
'OptionalAttr' classes.
It makes the code harder to understand. And worse, the 'default value'
specified is not always used, which can thus give false information to
users.
The way Optional was used in the API calls is twofold:
1.either by effectively extracting a value, via Optional.extract(param).
If 'param' was indeed specified by the user, then this would yield that
user-specified value. Otherwise, it would yield the value declared in the
parameter declaration, e.g. param=Optional(defaultvalue).
2.or by checking if a variable is an instance of the Optional class. In case
a user effectively passed a value, this value will not be of the
Optional class. So if a parameter is an object of class Optional, we know
the user did not pass a value, and we can apply some default.
In the declaration of the parameter, the specified default value will only
be used if the 'extract' method is used, i.e. method 1 above.
A simpler way to address this problem of default values is just with Python
default values, using 'None' as magic value if the default will be
calculated inside the method.
The docstrings still specify something like:
type: Optional(bool)
which is humanly readable and does not necessarily refer to a class called
'Optional', so such strings are kept.
There does not seem to be a good reason to use the 'Optional' and
'OptionalAttr' classes.
It makes the code harder to understand. And worse, the 'default value'
specified is not always used, which can thus give false information to
users.
The way Optional was used in the API calls is twofold:
1.either by effectively extracting a value, via Optional.extract(param).
If 'param' was indeed specified by the user, then this would yield that
user-specified value. Otherwise, it would yield the value declared in the
parameter declaration, e.g. param=Optional(defaultvalue).
2.or by checking if a variable is an instance of the Optional class. In case
a user effectively passed a value, this value will not be of the
Optional class. So if a parameter is an object of class Optional, we know
the user did not pass a value, and we can apply some default.
In the declaration of the parameter, the specified default value will only
be used if the 'extract' method is used, i.e. method 1 above.
A simpler way to address this problem of default values is just with Python
default values, using 'None' as magic value if the default will be
calculated inside the method.
The docstrings still specify something like:
type: Optional(bool)
which is humanly readable and does not necessarily refer to a class called
'Optional', so such strings are kept.
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Database schema changes
=======================
Kallithea uses Alembic for :ref:`database migrations <upgrade_db>`
(upgrades and downgrades).
If you are developing a Kallithea feature that requires database schema
changes, you should make a matching Alembic database migration script:
1. :ref:`Create a Kallithea configuration and database <setup>` for testing
the migration script, or use existing ``development.ini`` setup.
Ensure that this database is up to date with the latest database
schema *before* the changes you're currently developing. (Do not
create the database while your new schema changes are applied.)
2. Create a separate throwaway configuration for iterating on the actual
database changes::
kallithea-cli config-create temp.ini
Edit the file to change database settings. SQLite is typically fine,
but make sure to change the path to e.g. ``temp.db``, to avoid
clobbering any existing database file.
3. Make your code changes (including database schema changes in ``db.py``).
4. After every database schema change, recreate the throwaway database
to test the changes::
rm temp.db
kallithea-cli db-create -c temp.ini --repos=/var/repos --user=doe --email doe@example.com --password=123456 --no-public-access --force-yes
kallithea-cli repo-scan -c temp.ini
5. Once satisfied with the schema changes, auto-generate a draft Alembic
script using the development database that has *not* been upgraded.
(The generated script will upgrade the database to match the code.)
::
alembic -c development.ini revision -m "area: add cool feature" --autogenerate
6. Edit the script to clean it up and fix any problems.
Note that for changes that simply add columns, it may be appropriate
to not remove them in the downgrade script (and instead do nothing),
to avoid the loss of data. Unknown columns will simply be ignored by
Kallithea versions predating your changes.
7. Run ``alembic -c development.ini upgrade head`` to apply changes to
the (non-throwaway) database, and test the upgrade script. Also test
downgrades.
The included ``development.ini`` has full SQL logging enabled. If
you're using another configuration file, you may want to enable it
by setting ``level = DEBUG`` in section ``[handler_console_sql]``.
The Alembic migration script should be committed in the same revision as
the database schema (``db.py``) changes.
See the `Alembic documentation`__ for more information, in particular
the tutorial and the section about auto-generating migration scripts.
.. __: http://alembic.zzzcomputing.com/en/latest/
Troubleshooting
---------------
* If ``alembic --autogenerate`` responds "Target database is not up to
date", you need to either first use Alembic to upgrade the database
to the most recent version (before your changes), or recreate the
database from scratch (without your schema changes applied).
|