* Support calculating changes between consecutive sum statistics
* Add support for unit conversion when calculating change
* Don't include sum in WS response unless requested
* Improve tests
* Break out calculating change to its own function
* Improve test coverage
* Break out statistics schema repairs into a repairs module
A future PR will add repairs for events, states, etc
* reorg
* reorg
* reorg
* reorg
* fixes
* fix patch targets
* name space rename
If a user manually migrated their database to MySQL or PostgresSQL
and incorrectly created the timestamp columns as float we would
fail to correct them to double because when we migrated to use
timestamps for the columns I missed that we needed to change the
columns and types for µs precision
- If the user had previously duplicated data we could end up
picking the next metadata_id and there could be stale rows
in the database that have that metadata_id. This can only happen
from bad manual migrations (which is what this is function
is validating in the first place). To solve this we now insert
data with a future date and look at the latest inserted row
instead of the first.
Example
```
['stored_statistics',
defaultdict(<class 'list'>,
{'recorder.db_test_schema': [{'end': 948589200.0,
'last_reset': None,
'max': None,
'mean': 2021.0,
'min': None,
'start': 948585600.0,
'state': None,
'sum': 394.5068},
{'end': 1601946000.000001,
'last_reset': 1601942400.000001,
'max': 1.000000000000001,
'mean': 1.000000000000001,
'min': 1.000000000000001,
'start': 1601942400.000001,
'state': 1.000000000000001,
'sum': 1.000000000000001}]})]
```
* Avoid database executor job to fetch statistic metadata on cache hit
Since we will almost always have a cache hit fetching
statistic meta data we can avoid an executor job
* Avoid database executor job to fetch statistic metadata on cache hit
Since we will almost always have a cache hit fetching
statistic meta data we can avoid an executor job
* Avoid database executor job to fetch statistic metadata on cache hit
Since we will almost always have a cache hit fetching
statistic meta data we can avoid an executor job
* remove exception catch since the threading.excepthook will actually catch this in production
* fix a few missed ones
* threadsafe
* Update homeassistant/components/recorder/table_managers/statistics_meta.py
* coverage and optimistic caching
* Make sql subqueries threadsafe
fixes#89224
* fix join outside of lambda
* move statement generation into a seperate function to make it easier to test
* add cache key tests
* no need to mock hass
* Speed up comparing State and Event objects
Use default python implementation for State and Event __hash__ and __eq__
The default implementation compared based on the id() of the object
which is effectively what we want here anyways. These overrides are
left over from the days when these used to be attrs objects
By avoiding implementing these ourselves all of the equality checks
can happen in native code
* tweak
* adjust tests
* write out some more
* fix test to not compare objects
* more test fixes
* more test fixes
* correct stats tests
* fix more tests
* fix more tests
* update sensor recorder tests
* Validate common statistics db schema errors on start
* Fix test
* Add tests
* Adjust tests
* Disable statistics schema validation in tests
* Update after rebase
* Separate recorder database schema from other classes
* fix logbook imports
* migrate new tests
* few more
* last one
* fix merge
Co-authored-by: J. Nick Koston <nick@koston.org>
