Link to plugwise v1.7.0 and adapt #812
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WalkthroughThis pull request introduces a significant restructuring of the Plugwise integration's data handling approach. The primary change involves modifying how device data is accessed and managed across multiple components. The integration now directly uses Changes
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Actionable comments posted: 4
🧹 Nitpick comments (10)
custom_components/plugwise/coordinator.py (2)
34-34: Clarify data structure with a custom type aliasChanging to
dict[str, GwEntityData]enhances clarity by specifying the exact data structure used. However, consider creating a custom type alias, such asPlugwiseDataType = dict[str, GwEntityData], to improve readability and maintainability across the codebase.
136-138: Optimize device tracking logicThe logic for determining new and removed devices is correct. However, consider storing
set(data.keys())once to avoid callingset(data)multiple times, which can enhance performance for large datasets.Apply this diff to optimize the code:
def async_add_remove_devices( self, data: dict[str, GwEntityData], entry: ConfigEntry ) -> None: """Add new Plugwise devices, remove non-existing devices.""" + data_keys = set(data.keys()) # Check for new or removed devices - self.new_devices = set(data) - self._current_devices - removed_devices = self._current_devices - set(data) - self._current_devices = set(data) + self.new_devices = data_keys - self._current_devices + removed_devices = self._current_devices - data_keys + self._current_devices = data_keyscustom_components/plugwise/switch.py (1)
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98-106: LGTM! Consider enhancing debug logging.The data access simplification looks good. For consistency with other debug messages, consider including the device ID in the log message.
- LOGGER.debug( - "Add %s %s switch", device["name"], description.translation_key - ) + LOGGER.debug( + "Add %s (%s) %s switch", + device["name"], + device_id, + description.translation_key, + )custom_components/plugwise/select.py (1)
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99-108: LGTM! Consider enhancing debug logging for consistency.The data access simplification looks good. For consistency with the suggested changes in switch.py, consider including the device ID in the log message.
- LOGGER.debug( - "Add %s %s selector", device["name"], description.translation_key - ) + LOGGER.debug( + "Add %s (%s) %s selector", + device["name"], + device_id, + description.translation_key, + )custom_components/plugwise/number.py (1)
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96-105: LGTM! Consider enhancing debug logging for consistency.The data access simplification looks good. For consistency with the suggested changes in other components, consider including the device ID in the log message.
- LOGGER.debug( - "Add %s %s number", device["name"], description.translation_key - ) + LOGGER.debug( + "Add %s (%s) %s number", + device["name"], + device_id, + description.translation_key, + )tests/components/plugwise/fixtures/anna_v4/all_data.json (1)
47-47: LGTM! Data structure change aligns with best practices.The addition of the
notificationsfield to the gateway device entry and removal of the top-level gateway object represents a positive architectural change, making the data structure more consistent by keeping all device-related data under the devices key.tests/components/plugwise/fixtures/m_anna_heatpump_cooling/all_data.json (1)
15-15: Consider adding schema validation.With the restructured data format, consider adding JSON schema validation to ensure the integrity of the new structure across different device types and configurations.
tests/components/plugwise/fixtures/m_adam_cooling/all_data.json (1)
83-83: Update documentation for the new data structure.The significant changes to the data structure should be documented, especially the relocation of gateway properties and the new notifications field.
tests/components/plugwise/fixtures/m_adam_heating/all_data.json (1)
88-88: LGTM! Good architectural improvement.The consolidation of gateway information within the device entry improves data organization and reduces nested structures. The empty notifications object provides a clear location for future gateway notifications.
tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/all_data.json (1)
573-577: LGTM! Excellent example of notification structure.This implementation provides a clear example of how notifications should be structured, including:
- Unique notification ID as key
- Warning message with detailed device information
- Timestamp in the message
This serves as a good reference for implementing notifications in other configurations.
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📒 Files selected for processing (36)
custom_components/plugwise/__init__.py(1 hunks)custom_components/plugwise/binary_sensor.py(2 hunks)custom_components/plugwise/button.py(1 hunks)custom_components/plugwise/climate.py(5 hunks)custom_components/plugwise/coordinator.py(5 hunks)custom_components/plugwise/diagnostics.py(1 hunks)custom_components/plugwise/entity.py(3 hunks)custom_components/plugwise/manifest.json(1 hunks)custom_components/plugwise/number.py(1 hunks)custom_components/plugwise/select.py(1 hunks)custom_components/plugwise/sensor.py(1 hunks)custom_components/plugwise/switch.py(1 hunks)tests/components/plugwise/conftest.py(9 hunks)tests/components/plugwise/fixtures/adam_plus_anna_new/all_data.json(1 hunks)tests/components/plugwise/fixtures/anna_heatpump_heating/all_data.json(1 hunks)tests/components/plugwise/fixtures/anna_v4/all_data.json(1 hunks)tests/components/plugwise/fixtures/legacy_anna/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_adam_cooling/all_data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_heating/all_data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_jip/all_data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/all_data.json(1 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_cooling/all_data.json(1 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_idle/all_data.json(1 hunks)tests/components/plugwise/fixtures/p1v4_442_single/all_data.json(1 hunks)tests/components/plugwise/fixtures/p1v4_442_triple/all_data.json(1 hunks)tests/components/plugwise/fixtures/smile_p1_v2/all_data.json(0 hunks)tests/components/plugwise/fixtures/stretch_v23/all_data.json(1 hunks)tests/components/plugwise/fixtures/stretch_v31/all_data.json(0 hunks)tests/components/plugwise/snapshots/test_diagnostics.ambr(1 hunks)tests/components/plugwise/test_binary_sensor.py(3 hunks)tests/components/plugwise/test_climate.py(9 hunks)tests/components/plugwise/test_config_flow.py(1 hunks)tests/components/plugwise/test_init.py(7 hunks)tests/components/plugwise/test_number.py(3 hunks)tests/components/plugwise/test_select.py(2 hunks)tests/components/plugwise/test_sensor.py(2 hunks)
💤 Files with no reviewable changes (3)
- tests/components/plugwise/fixtures/smile_p1_v2/all_data.json
- tests/components/plugwise/fixtures/legacy_anna/all_data.json
- tests/components/plugwise/fixtures/stretch_v31/all_data.json
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🪛 GitHub Actions: Test against HA-core (master/released)
tests/components/plugwise/test_binary_sensor.py
[error] 3-9: Import order issue - 'freezegun.api' import needs to be moved after 'pytest' import
custom_components/plugwise/climate.py
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custom_components/plugwise/climate.py
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🔇 Additional comments (32)
custom_components/plugwise/coordinator.py (1)
92-94: Verify that all references toPlugwiseDataare updatedThe return type of
_async_update_datahas been updated todict[str, GwEntityData]. Ensure that all occurrences of the previousPlugwiseDatatype have been replaced to prevent type mismatches and potential runtime errors.Run the following script to check for any remaining references to
PlugwiseData:✅ Verification successful
Type references are correctly updated ✅
All references to the data type are through the
PlugwiseDataUpdateCoordinatorclass, which is properly typed withdict[str, GwEntityData]. No direct references to the oldPlugwiseDatatype were found in the codebase.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Search the codebase for any remaining references to 'PlugwiseData'. # Test: Find occurrences of 'PlugwiseData'. Expect: No matches. rg 'PlugwiseData'Length of output: 2674
custom_components/plugwise/diagnostics.py (1)
17-17: Review the exposure of internal data in diagnosticsReturning
coordinator.datadirectly may expose internal data structures, including potentially sensitive information. Consider sanitizing the data before returning it or selectively returning only the necessary diagnostic information.Do you want me to help create a sanitized version of
coordinator.datafor diagnostics?custom_components/plugwise/entity.py (2)
49-49: LGTM! Data access pattern simplified.The change from
coordinator.data.devices[device_id]tocoordinator.data[device_id]simplifies the data structure and reduces nesting. This is consistent with the broader restructuring of the integration.Also applies to: 93-93
63-63: LGTM! Gateway properties access improved.Moving from dictionary access (
coordinator.data.gateway[SMILE_NAME],coordinator.data.gateway[GATEWAY_ID]) to direct API property access (coordinator.api.smile_name,coordinator.api.gateway_id) is a good improvement that:
- Reduces indirection
- Makes the code more maintainable
- Provides better type safety
Also applies to: 68-68, 74-74
tests/components/plugwise/test_binary_sensor.py (1)
17-17: LGTM! Test coverage improved for cooling scenarios.The addition of
cooling_presentparameterization enhances test coverage by explicitly testing scenarios where cooling functionality is present.Also applies to: 41-41
tests/components/plugwise/test_select.py (1)
54-54: LGTM! Consistent test parameterization.The addition of
cooling_presentparameterization aligns with changes in other test files and ensures comprehensive testing of cooling functionality.Also applies to: 94-94
tests/components/plugwise/test_number.py (1)
20-20: LGTM! Comprehensive test coverage for cooling scenarios.The parameterization appropriately differentiates between:
- Anna-related tests with cooling present (
True)- Adam-related tests without cooling (
False)This ensures proper coverage of both scenarios.
Also applies to: 31-31, 53-53
custom_components/plugwise/__init__.py (1)
135-136: LGTM! Data structure simplification applied consistently.The migration function correctly adopts the simplified data access pattern, maintaining consistency with the changes across other components.
tests/components/plugwise/test_sensor.py (2)
96-96: LGTM! Added parameterization for cooling capability testing.The parameterization enhances test coverage by explicitly testing scenarios where cooling is present.
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118-142: LGTM! Comprehensive test coverage for P1 DSMR sensor entities.The test thoroughly verifies the state and values of various power-related sensor entities.
custom_components/plugwise/binary_sensor.py (2)
135-135: LGTM! Simplified data access pattern.The change aligns with the broader restructuring of device data access across the integration.
190-191: LGTM! Improved gateway data access.The change uses the API to get the gateway ID and accesses notifications through the new data structure.
tests/components/plugwise/conftest.py (2)
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39-69: LGTM! Added new fixtures for enhanced test configurability.The new fixtures (cooling_present, heater_id, reboot) improve test flexibility by allowing parameterization of these capabilities.
133-138: LGTM! Consistent updates to mock objects.All mock objects have been updated to reflect the new data structure and include new attributes (cooling_present, reboot, etc.).
Also applies to: 150-163, 184-189, 201-214, 234-238, 259-263, 284-288
custom_components/plugwise/climate.py (4)
77-79: LGTM! Improved data access patterns.The changes simplify data access by using coordinator.api for gateway name and direct device data access.
123-124: LGTM! Consistent gateway data access.Using coordinator.api for gateway ID aligns with the new data access patterns.
142-143: LGTM! Simplified cooling capability check.Using coordinator.api.cooling_present provides a cleaner way to check cooling capability.
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230-238: LGTM! Improved HVAC mode handling.The logic for determining available HVAC modes based on cooling capability has been restructured for better clarity.
tests/components/plugwise/test_init.py (2)
76-76: LGTM: Test coverage enhancement for cooling functionality.The addition of cooling parameterization across multiple test functions improves test coverage for different climate scenarios.
Also applies to: 98-98, 177-177, 250-250, 282-282
308-309: Verify data structure changes.The data structure modifications from
data.devices.update(TOM)todata.update(TOM)reflect a simplified data access pattern. Ensure this change is consistent across the entire codebase.Also applies to: 336-343
tests/components/plugwise/test_climate.py (1)
125-132: Enhance test data structure for climate states.The test data structure has been updated to properly test both heating and cooling states. The changes ensure comprehensive testing of the climate control functionality.
Also applies to: 151-158
tests/components/plugwise/test_config_flow.py (1)
421-421: LGTM: Consistent test parameterization.The addition of cooling parameterization maintains consistency with other test files.
custom_components/plugwise/sensor.py (1)
486-486: LGTM: Simplified data access pattern.The change from
coordinator.data.devices[device_id]tocoordinator.data[device_id]aligns with the broader refactoring of data access patterns across the integration.tests/components/plugwise/snapshots/test_diagnostics.ambr (1)
4-630: LGTM! Snapshot reflects the updated data structure.The snapshot correctly represents the new data structure where gateway information and notifications are consolidated within device entries. The test data provides good coverage of various device types and their attributes.
custom_components/plugwise/manifest.json (1)
10-10: Verify the stability of the alpha version dependency.The integration is being updated to use an alpha version (1.7.0a3) of the Plugwise package from a test repository. This could introduce stability issues.
Consider:
- Is this alpha version stable enough for production use?
- When will the stable 1.7.0 release be available?
- Should we wait for the stable release instead?
tests/components/plugwise/fixtures/p1v4_442_single/all_data.json (1)
15-15: LGTM! Test fixture updated correctly.The addition of the empty notifications object to the gateway device entry aligns with the new data structure, where gateway information is consolidated within the device entry.
tests/components/plugwise/fixtures/p1v4_442_triple/all_data.json (1)
15-19: LGTM! Test fixture provides good coverage for notifications.The addition of the notifications object with a warning message provides good test coverage for the notification handling in the new data structure. The warning message about the P1 not being connected to a smart meter is a realistic test case.
tests/components/plugwise/fixtures/m_anna_heatpump_idle/all_data.json (1)
15-15: Verify the migration of gateway properties.The gateway properties (cooling_present, gateway_id, etc.) that were previously in the top-level gateway object need to be properly migrated or handled in the dependent code.
tests/components/plugwise/fixtures/anna_heatpump_heating/all_data.json (1)
15-15: Ensure backward compatibility.The removal of the top-level gateway object and addition of notifications at the device level represents a breaking change. Ensure that any code depending on the old structure is updated.
tests/components/plugwise/fixtures/adam_plus_anna_new/all_data.json (1)
172-172: LGTM! Consistent implementation across configurations.The change maintains consistency with other fixtures, following the same pattern of consolidating gateway information.
tests/components/plugwise/fixtures/m_adam_jip/all_data.json (1)
228-228: LGTM! Maintains consistency across gateway configurations.The change follows the established pattern of consolidating gateway information within the device entry.
tests/components/plugwise/fixtures/stretch_v23/all_data.json (1)
3-12: Verify notifications field for Stretch gateway model.While the gateway device structure is consistent with other models, consider adding the
notificationsfield to maintain consistency with other gateway configurations."0000aaaa0000aaaa0000aaaa0000aa00": { "dev_class": "gateway", "firmware": "2.3.12", "location": "0000aaaa0000aaaa0000aaaa0000aa00", "mac_address": "01:23:45:67:89:AB", "model": "Gateway", "name": "Stretch", + "notifications": {}, "vendor": "Plugwise", "zigbee_mac_address": "ABCD012345670101" },
| if ( | ||
| device_entry.via_device_id == via_device_id | ||
| and identifier[1] not in data.devices | ||
| and identifier[1] not in data |
There was a problem hiding this comment.
Ensure safe access to identifier[1]
When accessing identifier[1], there is a risk of an IndexError if the identifier tuple does not have at least two elements. To make the code more robust, add a length check before accessing identifier[1].
Apply this diff to fix the issue:
for identifier in device_entry.identifiers:
if identifier[0] == DOMAIN:
- if (
- device_entry.via_device_id == via_device_id
- and identifier[1] not in data
- ):
+ if len(identifier) > 1:
+ if (
+ device_entry.via_device_id == via_device_id
+ and identifier[1] not in data
+ ):
device_reg.async_update_device(
device_entry.id, remove_config_entry_id=entry.entry_id
)📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| and identifier[1] not in data | |
| if identifier[0] == DOMAIN: | |
| if len(identifier) > 1: | |
| if ( | |
| device_entry.via_device_id == via_device_id | |
| and identifier[1] not in data | |
| ): | |
| device_reg.async_update_device( | |
| device_entry.id, remove_config_entry_id=entry.entry_id | |
| ) |
| for device_id, device in coordinator.data.items(): | ||
| if device_id == coordinator.api.gateway_id and coordinator.api.reboot: |
There was a problem hiding this comment.
Handle possible missing name key in device data
When accessing device["name"], there is a potential risk of a KeyError if the name key is missing. To prevent this, use device.get("name", "Unknown") to provide a default value.
Apply this diff to fix the issue:
for device_id, device in coordinator.data.items():
if device_id == coordinator.api.gateway_id and coordinator.api.reboot:
entities.append(PlugwiseButtonEntity(coordinator, device_id))
- LOGGER.debug("Add %s reboot button", device["name"])
+ LOGGER.debug("Add %s reboot button", device.get("name", "Unknown"))Committable suggestion skipped: line range outside the PR's diff.
| from datetime import timedelta | ||
| from unittest.mock import MagicMock, patch | ||
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||
| from freezegun.api import FrozenDateTimeFactory |
There was a problem hiding this comment.
Fix import order to resolve pipeline failure.
Move the freezegun.api import after the pytest import to comply with the import order requirements.
-from freezegun.api import FrozenDateTimeFactory
import pytest
+from freezegun.api import FrozenDateTimeFactory📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| from freezegun.api import FrozenDateTimeFactory | |
| import pytest | |
| from freezegun.api import FrozenDateTimeFactory |
| """Return a list of available HVACModes. | ||
| Adam does not support automatic switching between heating and cooling. | ||
| Some Anna configurations do support this. | ||
| """ |
There was a problem hiding this comment.
Fix whitespace in blank line.
The docstring contains a blank line with whitespace, which should be removed.
Apply this diff to fix the whitespace issue:
"""Return a list of available HVACModes.
-
Adam does not support automatic switching between heating and cooling.
Some Anna configurations do support this.
"""📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| """Return a list of available HVACModes. | |
| Adam does not support automatic switching between heating and cooling. | |
| Some Anna configurations do support this. | |
| """ | |
| """Return a list of available HVACModes. | |
| Adam does not support automatic switching between heating and cooling. | |
| Some Anna configurations do support this. | |
| """ |
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Actionable comments posted: 0
🧹 Nitpick comments (16)
tests/components/plugwise/fixtures/anna_v4/data.json (3)
8-8: Consider using ISO 8601 format without timezone for firmware version.The firmware date format includes a timezone offset which might cause inconsistencies in parsing. Consider using a standardized ISO 8601 format without timezone, e.g., "2018-02-08T11:15:53".
42-42: Replace placeholder MAC address in test fixture.The MAC address "012345670001" appears to be a placeholder. While this might be intentional for testing, consider using a valid MAC address format that better represents real-world scenarios.
46-46: Define schema for notifications object.The empty notifications object might benefit from a schema definition or example notification to better guide implementation and testing.
- "notifications": {}, + "notifications": { + "schema_version": "1.0", + "messages": [] + },tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/data.json (3)
383-385: Consider adding a low battery warning threshold test case.The battery level of 34% for "Zone Lisa WK" is relatively low. This would be a good opportunity to test the low battery warning threshold functionality.
572-576: Standardize MAC address format in notification messages.The MAC address format in the notification message (
000D6F000D13CB01) differs from the zigbee_mac_address format used elsewhere in the fixture (ABCD012345670101). Consider standardizing the format for consistency.
565-566: Consider using a placeholder firmware version.While MAC addresses use placeholders, the firmware version ("3.0.15") and hardware details appear to be real values. Consider using placeholder values for consistency with other anonymized data in the test fixture.
tests/components/plugwise/fixtures/m_adam_jip/data.json (1)
227-227: Consider initializing the notifications object with a default structure.The empty notifications object could benefit from a default structure to ensure consistent handling across the integration.
- "notifications": {}, + "notifications": { + "system": [], + "device": [] + },tests/components/plugwise/fixtures/m_anna_heatpump_cooling/data.json (4)
10-10: Replace placeholder MAC address with a realistic test value.The MAC address "012345670001" appears to be a placeholder. Consider using a realistic test MAC address that follows the standard format (e.g., "AA:BB:CC:DD:EE:FF") to better represent real-world scenarios.
- "mac_address": "012345670001", + "mac_address": "00:1A:2B:3C:4D:5E",
14-14: Document the purpose of the empty notifications object.Consider adding a comment in the test file or documentation explaining the expected structure and purpose of the
notificationsfield, even when empty.
48-54: Add value range validation for sensor readings.Consider documenting the expected ranges for these sensor values in a schema or constants file:
- modulation_level (0-100%)
- water_pressure (typical range)
- temperature readings (valid ranges)
This will help catch any data inconsistencies during testing.
1-97: Add schema validation for the test fixture.Consider adding a JSON schema file to validate the structure and value ranges of this test fixture. This would help:
- Document the expected data format
- Catch structural issues during testing
- Serve as reference documentation for the data format
tests/components/plugwise/fixtures/m_anna_heatpump_idle/data.json (1)
77-77: Add unit specification for illuminance sensor.The illuminance value of 86.0 is missing its unit specification (typically lux). Consider adding a comment or documentation to specify the unit.
tests/components/plugwise/fixtures/stretch_v31/data.json (1)
134-134: Standardize Zigbee MAC address format.The Zigbee MAC address format (
0123456789AB) differs from other devices (ABCD012345670A01). Consider standardizing the format across all devices.tests/components/plugwise/fixtures/m_adam_heating/data.json (1)
74-96: Enhance test coverage for gateway notifications.The gateway configuration has an empty notifications object. Consider adding mock notifications to test notification handling functionality.
Add sample notifications to improve test coverage:
- "notifications": {}, + "notifications": { + "system_update_available": { + "type": "update", + "message": "New firmware version available" + }, + "device_error": { + "type": "error", + "message": "Connection lost with device 1772a4ea304041adb83f357b751341ff" + } + },tests/components/plugwise/fixtures/anna_heatpump_heating/data.json (1)
14-14: Document the purpose of the new notifications field.The empty notifications object appears to be a new addition. Consider adding a comment in the test fixture to explain its purpose and expected structure for future use.
tests/components/plugwise/fixtures/adam_plus_anna_new/data.json (1)
146-157: Consider adding version information and state sensors to the thermostat.The thermostat configuration could benefit from:
- Firmware and hardware version information
- Binary sensors for common states (heating, cooling, etc.)
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📒 Files selected for processing (15)
tests/components/plugwise/conftest.py(10 hunks)tests/components/plugwise/fixtures/adam_plus_anna_new/data.json(1 hunks)tests/components/plugwise/fixtures/anna_heatpump_heating/data.json(1 hunks)tests/components/plugwise/fixtures/anna_v4/data.json(1 hunks)tests/components/plugwise/fixtures/legacy_anna/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_cooling/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_heating/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_jip/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/data.json(1 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_cooling/data.json(1 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_idle/data.json(1 hunks)tests/components/plugwise/fixtures/p1v4_442_single/data.json(1 hunks)tests/components/plugwise/fixtures/p1v4_442_triple/data.json(1 hunks)tests/components/plugwise/fixtures/smile_p1_v2/data.json(1 hunks)tests/components/plugwise/fixtures/stretch_v31/data.json(1 hunks)
✅ Files skipped from review due to trivial changes (4)
- tests/components/plugwise/fixtures/smile_p1_v2/data.json
- tests/components/plugwise/fixtures/p1v4_442_triple/data.json
- tests/components/plugwise/fixtures/legacy_anna/data.json
- tests/components/plugwise/fixtures/p1v4_442_single/data.json
🚧 Files skipped from review as they are similar to previous changes (1)
- tests/components/plugwise/conftest.py
🔇 Additional comments (48)
tests/components/plugwise/fixtures/anna_v4/data.json (3)
1-88: Well-structured test fixture data!The JSON structure is clean, properly formatted, and aligns well with the integration's new data handling approach.
27-28: Verify the lower bound temperature for frost protection.The lower bound of 4.0°C might be too high for effective frost protection. Typical frost protection settings are usually around 5-7°C, but the minimum settable temperature should be lower (usually around 0-2°C) to allow for more flexible control.
77-81: Verify sensor value ranges.Please verify:
- The water pressure of 2.2 bar is within the safe operating range for the system (typically 1-2.5 bar).
- The modulation level range (currently 0.0) should be documented - is this a percentage (0-100) or a decimal (0-1)?
tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/data.json (3)
1-584: LGTM! Well-structured test fixture with comprehensive device configurations.The JSON structure provides a realistic representation of a multi-device Plugwise setup, including various device types and their relationships.
356-361: Verify the temperature difference threshold.The temperature difference of 3.5°C between setpoint (21.5°C) and actual temperature (26.0°C) seems unusually high. Consider if this is a realistic test scenario or if it should be adjusted to better represent typical operating conditions.
425-428: LGTM! Well-structured thermostat relationships.The primary and secondary thermostat relationships are consistently defined across all climate zones, with valid device references.
Also applies to: 278-281, 86-89, 130-133
tests/components/plugwise/fixtures/m_adam_jip/data.json (4)
1-370: Well-structured device configuration data!The JSON structure is clean, consistent, and properly organized with device IDs as top-level keys and device-specific attributes.
38-38: Verify the unusually low temperature setpoint of 9.0°C.The living room setpoint of 9.0°C seems unusually low for comfort. Please verify if this is intentional or if it should be adjusted to a more typical room temperature.
Also applies to: 174-174
15-15: Verify the recurring setpoint of 13.0°C across multiple rooms.Multiple rooms are configured with a setpoint of 13.0°C, which is quite low for comfort. This appears in bedrooms, guest rooms, and other zones. Please verify if this is intentional or if these should be adjusted to more typical room temperatures.
Also applies to: 61-61, 83-83, 107-107, 152-152, 202-202, 251-251, 270-270, 298-298
71-71: Good use of consistent patterns for device identifiers!The MAC addresses follow a clear pattern suitable for test fixtures, and device IDs use proper UUID format.
Also applies to: 95-95, 119-119, 136-136, 162-162, 186-186, 212-212, 235-235, 282-282, 368-368
tests/components/plugwise/fixtures/m_anna_heatpump_cooling/data.json (3)
39-44: Verify maximum boiler temperature bounds.The maximum boiler temperature has a lower bound of 0.0°C, which seems unusually low for a boiler system. Please verify if this is the correct minimum value for your use case.
75-77: Verify cooling activation temperature logic.The cooling activation temperature (21.0°C) and deactivation threshold (4.0°C) combination needs verification:
- Is the deactivation threshold meant to be a delta or an absolute temperature?
- How does the illuminance sensor (86.0) factor into the cooling activation decision?
88-94: Validate thermostat setpoint ranges.Please verify the thermostat setpoint configuration:
- The upper_bound (30.0°C) matches setpoint_high
- The lower_bound (4.0°C) seems very low for comfort settings
- Ensure these values align with the hardware specifications
tests/components/plugwise/fixtures/m_anna_heatpump_idle/data.json (4)
2-19: LGTM! Gateway device structure is well-organized.The gateway device entry contains all necessary fields with appropriate values, including the new notifications field that aligns with the integration changes.
73-94: LGTM! Well-structured temperature control parameters.The temperature ranges and control parameters are well-defined with appropriate:
- Bounds for frost protection (4.0°C lower bound)
- Comfortable maximum (30.0°C upper bound)
- Fine-grained control (0.1°C resolution)
1-97: LGTM! Well-structured test fixture with consistent data.The fixture successfully represents an idle heat pump system state with:
- Consistent temperature values across devices
- Appropriate ranges for all parameters
- Clear representation of the system state
48-54: Verify the intended boiler temperature value.The
intended_boiler_temperatureof 18.0°C seems unusually low for a boiler system. While this might be correct for an idle state (as indicated by the fixture name), please verify if this value is representative of real-world scenarios.✅ Verification successful
The intended boiler temperature of 18.0°C is valid for an idle heat pump.
The value is consistent with other test fixtures and appropriate for an idle state, being significantly lower than active heating modes (35-40°C) while remaining above cooling mode temperatures (0°C).
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for other test fixtures to compare intended_boiler_temperature values fd -t f -e json . tests/components/plugwise/fixtures/ --exec rg -l '"intended_boiler_temperature"' {} \; | while read -r file; do echo "=== $file ===" jq -r 'to_entries[] | select(.value.sensors.intended_boiler_temperature != null) | "\(.key): \(.value.sensors.intended_boiler_temperature)"' "$file" doneLength of output: 8060
tests/components/plugwise/fixtures/stretch_v31/data.json (5)
2-11: LGTM: Gateway device structure is well-defined.The gateway device entry contains all necessary identification and networking information with proper formatting.
31-87: LGTM: Consistent device structures for appliances.The water heater, dishwasher, and dryer entries maintain consistent data structures with appropriate sensor values and switch states.
1-136: LGTM: Well-structured device data format.The JSON structure provides a clean and consistent format for device data, successfully implementing the restructuring mentioned in the PR description. The removal of the separate gateway section and integration of gateway information into the device entries improves data organization.
88-116: Verify member references in groups.The groups contain member references to other devices. Let's verify that all referenced member IDs are valid and defined.
✅ Verification successful
All member references in groups are valid
All device IDs referenced in the 'members' arrays correspond to valid devices defined in the JSON file.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that all member references point to valid device IDs echo "Checking member references in groups..." jq -r ' # Get all device IDs keys as $devices | # Get all member references [.. | objects | .members? | arrays | .[] ] as $members | # Check if any member is not in devices ($members - $devices) ' tests/components/plugwise/fixtures/stretch_v31/data.jsonLength of output: 359
14-14: Consider standardizing firmware version format.The firmware version uses a timestamp format (
2011-06-27T10:52:18+02:00) while the gateway uses semantic versioning (3.1.11). This inconsistency might cause issues with version comparison logic.Let's check if this is a consistent pattern across other devices:
tests/components/plugwise/fixtures/m_adam_heating/data.json (4)
158-162: Verify temperature bounds for climate zones.The temperature bounds for climate zones appear unrealistic:
- Living room: lower bound of 1.0°C seems too low for comfort
- Bathroom: upper bound of 99.9°C is unusually high and potentially dangerous
Please confirm if these are intentional test values or if they should be adjusted to more realistic ranges (e.g., 16-30°C for living spaces).
Also applies to: 191-195
35-37: Good test coverage for battery states!The fixture effectively covers both normal (99%) and critical (14%) battery levels, including the corresponding low_battery binary sensor states.
Also applies to: 45-51, 99-113
136-201: Excellent coverage of climate control scenarios!The fixture effectively demonstrates various climate control states:
- Different climate modes (heat/auto)
- Different control states (preheating/idle)
- Primary/secondary thermostat relationships
- Schedule selection states
1-201: Ensure consistent presence of 'available' field across all devices.The 'available' field is present in some devices but missing in others (e.g., gateway device at line 74 and switching device at line 123). This inconsistency might affect availability testing scenarios.
Run this script to verify the field consistency:
tests/components/plugwise/fixtures/m_adam_cooling/data.json (8)
56-68: LGTM! Configuration aligns with cooling scenario.The temperature differential (current: 25.8°C, setpoint: 23.5°C) correctly indicates a need for cooling, which is consistent with the system's cooling mode.
124-136: LGTM! Switching group configuration is appropriate.The structure correctly defines member relationships and relay state.
1-203: LGTM! Comprehensive test fixture for cooling scenario.The fixture provides good coverage of various device types and their interactions in a cooling scenario. The data structure is consistent and values are within expected ranges.
98-123: Address potential reliability concerns.This device has multiple reliability risk factors:
- Low battery (14%)
- Old firmware (2016-10-10)
Consider adding test cases for handling device unavailability due to battery failure.
69-97: Document the new notifications structure.The empty notifications object has been added but lacks documentation about its structure and possible values. Consider adding a schema or documentation for the expected notification format.
✅ Verification successful
Empty notifications object is correct and well-documented
The empty notifications object is the expected default state. The structure is documented in the codebase and demonstrated in test fixtures:
- Notifications are used for device warnings (e.g., unreachable devices)
- Format:
notifications[notification_id][message_type] = message🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for notification structure documentation rg -l "notifications.*schema" docs/Length of output: 83
Script:
#!/bin/bash # Search for other fixtures with notifications fd data.json --exec rg -l "notifications" {} # Search for notification-related patterns in source and test files rg -g "!*.json" "notifications.*=|notifications.*{|notifications.*type" -A 2 # Search for notification class or interface definitions ast-grep --pattern 'class $_Notification { $$$ }'Length of output: 1826
Script:
#!/bin/bash # Check notifications in similar gateway fixtures rg -A 1 '"notifications":' ./tests/components/plugwise/fixtures/m_adam_*/data.json ./tests/components/plugwise/fixtures/anna*/data.json # Search for notification-related patterns (fixed regex) rg -g '!*.json' 'notifications[^a-z]' -A 2Length of output: 3927
2-27: Consider adding validation for mutually exclusive states.The heater's binary sensors include mutually exclusive states (heating_state, cooling_state). Consider adding test cases to verify that these states cannot be simultaneously true.
137-202: Consider standardizing climate mode handling.The two climate zones have different mode configurations:
- Living room:
climate_mode: "cool",control_state: "cooling"- Bathroom:
climate_mode: "auto",control_state: "cooling"Consider adding test cases to verify the interaction between
climate_modeandcontrol_statein various scenarios.
28-55: Verify valve position logic during cooling mode.The valve position is at 100% while the system is in cooling mode (as indicated by the gateway). This might indicate an inefficient configuration or potential issue with the valve control logic.
tests/components/plugwise/fixtures/anna_heatpump_heating/data.json (6)
10-10: Verify MAC address format in test fixture.The MAC address "012345670001" appears to be a placeholder. Consider using a realistic MAC address format (e.g., "00:11:22:33:44:55") to better represent production scenarios.
47-55: Verify sensor value ranges.The sensor values appear reasonable, but consider:
- Water pressure of 1.57 bar is normal (typical range: 1-2 bar)
- Temperature differentials make sense:
- Return (25.1°C) < Water (29.1°C)
- DHW temperature (46.3°C) is safe but below setpoint (53.0°C)
75-76: Review cooling temperature thresholds.The cooling configuration shows:
- Activation at outdoor temperature: 21.0°C
- Deactivation threshold: 4.0°C
This seems like a large differential. Please verify if these values are correct for the test scenario.
88-94: Validate thermostat setpoint consistency.The thermostat configuration shows good consistency:
- Bounds (4.0°C to 30.0°C) encompass both setpoints
- Current setpoints (20.5°C to 30.0°C) are within bounds
- Resolution (0.1°C) is appropriate for temperature control
33-38: Validate temperature bounds and setpoints.The temperature configurations look good, but a few suggestions:
- The
max_dhw_temperaturesetpoint (53.0) is within bounds (35.0-60.0).- The
maximum_boiler_temperaturesetpoint (60.0) is within bounds (0.0-100.0).However, consider adding validation tests to ensure:
- Setpoints always remain within bounds
- Upper bounds are always greater than lower bounds
- Resolution values are positive
Also applies to: 39-44
72-73: Validate schedule selection against available schedules.The
select_schedulevalue "standaard" is present inavailable_schedules. However, consider:
- Adding validation to ensure
select_scheduleis always one of theavailable_schedules- Testing edge cases when schedules are added/removed
Also applies to: 63-63
tests/components/plugwise/fixtures/adam_plus_anna_new/data.json (8)
2-26: Central heater configuration looks good!The configuration includes all necessary fields with proper temperature bounds, resolution, and required sensors.
39-66: Thermostatic radiator valve configuration is comprehensive!The configuration includes all essential sensors, proper temperature offset configuration, and version information.
158-180: Gateway configuration is well-structured and complete!The configuration includes all necessary fields including modes, version information, and proper initialization of the notifications feature.
181-206: Verify if this represents a real device state.The zone thermostat shows a critically low battery level (14%) with an active low battery warning. If this is test data, it's a good edge case. If it represents a real device, the battery should be replaced soon.
207-219: Switch group configuration is correctly structured!The configuration properly references existing devices and includes necessary switch functionality.
220-285: Climate zones are properly configured!Both climate zones have comprehensive configurations including:
- Proper schedule and preset definitions
- Well-defined temperature bounds and resolution
- Correct thermostat device references
67-145: Consider standardizing smart plug configurations.There are inconsistencies across similar plug devices:
- Some plugs have lock switches while others don't (e.g., present in "Plug MediaTV" but absent in "Plug Vloerverwarming")
- The Aqara plug has limited electricity sensors compared to Plugwise plugs
27-38: Verify if temperature sensors are supported for this valve actuator.The configuration lacks temperature-related sensors. For valve actuators, temperature readings can be valuable for monitoring and control.
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Actionable comments posted: 0
♻️ Duplicate comments (1)
custom_components/plugwise/coordinator.py (1)
161-161:⚠️ Potential issueEnsure safe access to
identifier[1]When accessing
identifier[1], there is a risk of anIndexErrorif theidentifiertuple does not have at least two elements. To make the code more robust, add a length check before accessingidentifier[1].Apply this diff to fix the issue:
for identifier in device_entry.identifiers: if identifier[0] == DOMAIN: + if len(identifier) > 1: if ( device_entry.via_device_id == via_device_id and identifier[1] not in data ): device_reg.async_update_device( device_entry.id, remove_config_entry_id=entry.entry_id )
🧹 Nitpick comments (1)
custom_components/plugwise/coordinator.py (1)
125-125: Avoid using f-strings in logging statementsUsing f-strings in logging statements can lead to unnecessary string interpolation, even when the log level is set to ignore the message. To improve performance, use lazy formatting by passing format strings and arguments to the logger.
Apply this diff to modify the logging statement:
-LOGGER.debug(f"{self.api.smile_name} data: %s", data) +LOGGER.debug("%s data: %s", self.api.smile_name, data)
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Actionable comments posted: 0
🧹 Nitpick comments (1)
tests/components/plugwise/test_sensor.py (1)
96-96: Consider testing both cooling present and absent scenarios.The parameterization only tests when
cooling_present=True. To ensure comprehensive test coverage, consider testing both scenarios:-@pytest.mark.parametrize("cooling_present", [True], indirect=True) +@pytest.mark.parametrize("cooling_present", [True, False], indirect=True)
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📒 Files selected for processing (49)
custom_components/plugwise/__init__.py(1 hunks)custom_components/plugwise/binary_sensor.py(2 hunks)custom_components/plugwise/button.py(1 hunks)custom_components/plugwise/climate.py(4 hunks)custom_components/plugwise/coordinator.py(5 hunks)custom_components/plugwise/diagnostics.py(1 hunks)custom_components/plugwise/entity.py(3 hunks)custom_components/plugwise/manifest.json(1 hunks)custom_components/plugwise/number.py(1 hunks)custom_components/plugwise/select.py(1 hunks)custom_components/plugwise/sensor.py(1 hunks)custom_components/plugwise/switch.py(1 hunks)tests/components/plugwise/conftest.py(10 hunks)tests/components/plugwise/fixtures/adam_plus_anna_new/all_data.json(0 hunks)tests/components/plugwise/fixtures/adam_plus_anna_new/data.json(1 hunks)tests/components/plugwise/fixtures/anna_heatpump_heating/all_data.json(0 hunks)tests/components/plugwise/fixtures/anna_heatpump_heating/data.json(1 hunks)tests/components/plugwise/fixtures/anna_v4/all_data.json(0 hunks)tests/components/plugwise/fixtures/anna_v4/data.json(1 hunks)tests/components/plugwise/fixtures/legacy_anna/all_data.json(0 hunks)tests/components/plugwise/fixtures/legacy_anna/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_cooling/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_adam_cooling/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_heating/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_adam_heating/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_jip/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_adam_jip/data.json(1 hunks)tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/data.json(1 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_cooling/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_cooling/data.json(1 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_idle/all_data.json(0 hunks)tests/components/plugwise/fixtures/m_anna_heatpump_idle/data.json(1 hunks)tests/components/plugwise/fixtures/p1v4_442_single/all_data.json(0 hunks)tests/components/plugwise/fixtures/p1v4_442_single/data.json(1 hunks)tests/components/plugwise/fixtures/p1v4_442_triple/all_data.json(0 hunks)tests/components/plugwise/fixtures/p1v4_442_triple/data.json(1 hunks)tests/components/plugwise/fixtures/smile_p1_v2/all_data.json(0 hunks)tests/components/plugwise/fixtures/smile_p1_v2/data.json(1 hunks)tests/components/plugwise/fixtures/stretch_v31/all_data.json(0 hunks)tests/components/plugwise/fixtures/stretch_v31/data.json(1 hunks)tests/components/plugwise/snapshots/test_diagnostics.ambr(1 hunks)tests/components/plugwise/test_binary_sensor.py(2 hunks)tests/components/plugwise/test_climate.py(9 hunks)tests/components/plugwise/test_config_flow.py(1 hunks)tests/components/plugwise/test_init.py(7 hunks)tests/components/plugwise/test_number.py(3 hunks)tests/components/plugwise/test_select.py(2 hunks)tests/components/plugwise/test_sensor.py(2 hunks)
💤 Files with no reviewable changes (14)
- tests/components/plugwise/fixtures/m_adam_heating/all_data.json
- tests/components/plugwise/fixtures/legacy_anna/all_data.json
- tests/components/plugwise/fixtures/m_anna_heatpump_idle/all_data.json
- tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/all_data.json
- tests/components/plugwise/fixtures/m_adam_jip/all_data.json
- tests/components/plugwise/fixtures/anna_heatpump_heating/all_data.json
- tests/components/plugwise/fixtures/stretch_v31/all_data.json
- tests/components/plugwise/fixtures/adam_plus_anna_new/all_data.json
- tests/components/plugwise/fixtures/m_adam_cooling/all_data.json
- tests/components/plugwise/fixtures/anna_v4/all_data.json
- tests/components/plugwise/fixtures/p1v4_442_single/all_data.json
- tests/components/plugwise/fixtures/m_anna_heatpump_cooling/all_data.json
- tests/components/plugwise/fixtures/smile_p1_v2/all_data.json
- tests/components/plugwise/fixtures/p1v4_442_triple/all_data.json
🚧 Files skipped from review as they are similar to previous changes (25)
- custom_components/plugwise/select.py
- custom_components/plugwise/number.py
- tests/components/plugwise/test_binary_sensor.py
- custom_components/plugwise/sensor.py
- custom_components/plugwise/button.py
- custom_components/plugwise/init.py
- custom_components/plugwise/entity.py
- custom_components/plugwise/manifest.json
- custom_components/plugwise/binary_sensor.py
- tests/components/plugwise/fixtures/m_adam_heating/data.json
- tests/components/plugwise/fixtures/stretch_v31/data.json
- tests/components/plugwise/test_config_flow.py
- tests/components/plugwise/test_select.py
- custom_components/plugwise/switch.py
- custom_components/plugwise/climate.py
- tests/components/plugwise/fixtures/p1v4_442_triple/data.json
- tests/components/plugwise/fixtures/legacy_anna/data.json
- tests/components/plugwise/fixtures/m_anna_heatpump_idle/data.json
- tests/components/plugwise/fixtures/smile_p1_v2/data.json
- tests/components/plugwise/fixtures/m_anna_heatpump_cooling/data.json
- tests/components/plugwise/fixtures/p1v4_442_single/data.json
- tests/components/plugwise/fixtures/anna_heatpump_heating/data.json
- custom_components/plugwise/coordinator.py
- tests/components/plugwise/test_number.py
- tests/components/plugwise/fixtures/anna_v4/data.json
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: Setup for HA-core (release)
🔇 Additional comments (35)
tests/components/plugwise/test_sensor.py (1)
Line range hint
117-143: LGTM! Well-structured test with comprehensive coverage.The test function provides good coverage of P1 DSMR sensor entities:
- Tests both point and cumulative measurements
- Verifies presence and absence of sensors
- Uses appropriate assertions for different value types
tests/components/plugwise/test_init.py (5)
76-76: LGTM! Appropriate test parameterization.The added parameterization for
cooling_presentcorrectly extends the test coverage to include cooling functionality scenarios.
98-98: LGTM! Consistent test parameterization.The added parameterization maintains consistency with other tests and ensures error scenarios are tested with cooling functionality enabled.
177-177: LGTM! Migration test coverage extended.The parameterization appropriately extends the unique ID migration test to cover cooling scenarios.
250-250: LGTM! Config entry migration test enhanced.The parameterization appropriately extends the config entry migration test to include cooling scenarios.
Line range hint
282-343: LGTM! Data structure changes align with the new architecture.The changes correctly:
- Add test coverage for non-cooling scenarios
- Update the data structure access pattern to match the simplified architecture
- Maintain the same test logic while adapting to the new data structure
The modifications align with the broader changes in the PR where device data access has been simplified from
coordinator.data.devicestocoordinator.data.tests/components/plugwise/test_climate.py (8)
79-79: LGTM! Parameterization correctly indicates heating-only scenario.The parameterization with
cooling_present=Falsealigns with the test's focus on heating functionality.
106-106: LGTM! Parameterization correctly indicates cooling capability.The parameterization with
cooling_present=Truealigns with the test's focus on testing both heating and cooling functionalities.
125-134: LGTM! Mock data correctly simulates mode transitions.The mock data updates appropriately simulate:
- Transition to heating mode by updating regulation mode, control state, and binary sensors
- Transition to cooling mode by updating the same parameters
Also applies to: 151-159
319-319: LGTM! Parameterization correctly indicates heat pump capability.The parameterization with
cooling_present=Truealigns with testing Anna thermostat's heat pump functionality.
348-348: LGTM! Parameterization correctly indicates cooling capability.The parameterization with
cooling_present=Truealigns with testing Anna thermostat's cooling mode functionality.
369-369: LGTM! Parameterization correctly indicates cooling capability in idle state.The parameterization with
cooling_present=Truealigns with testing Anna thermostat's idle state with cooling capability.
387-387: LGTM! Parameterization correctly indicates cooling capability.The parameterization with
cooling_present=Truealigns with testing climate changes with cooling capability.
439-439: LGTM! Mock data update correctly simulates no schedules scenario.The mock data update appropriately simulates a scenario where no schedules are available.
custom_components/plugwise/diagnostics.py (1)
17-17: LGTM! Simplified diagnostics data structure.The change to return
coordinator.datadirectly:
- Aligns with the broader restructuring of data access patterns
- Provides more comprehensive diagnostics data
tests/components/plugwise/fixtures/m_adam_cooling/data.json (1)
4-8: LGTM! Test fixture correctly models cooling capabilities.The fixture appropriately defines:
- Binary sensors for cooling and heating states
- Gateway regulation modes including cooling
- Device states reflecting cooling operation
Also applies to: 90-91, 146-147, 179-180
tests/components/plugwise/fixtures/adam_plus_anna_new/data.json (1)
4-8: LGTM! Test fixture correctly models heating capabilities.The fixture appropriately defines:
- Binary sensors for heating and flame states
- Gateway regulation modes for heating
- Device states reflecting heating operation
Also applies to: 172-174, 229-230
tests/components/plugwise/conftest.py (8)
Line range hint
39-69: Well-structured test fixtures added!The new fixtures for
cooling_present,heater_id, andrebootfollow good testing practices:
- Clear docstrings explaining their purpose
- Consistent implementation pattern with existing fixtures
- Enable better test parameterization
121-121: Data structure and mock attributes updated.The mock has been updated to:
- Return raw data instead of a PlugwiseData object
- Include new
cooling_presentandrebootattributes to support the new test parametersAlso applies to: 133-134, 138-138
150-150: Mock updated to support cooling scenarios.Good changes to the mock:
- Added
cooling_presentparameter to enable testing of cooling capabilities- Updated data structure and attributes consistently with other mocks
Also applies to: 158-158, 160-163
178-178: Consistent mock updates applied.The changes maintain consistency with other mock updates:
- Updated data structure
- Added cooling_present and reboot attributes
Also applies to: 184-184, 186-186, 189-189
201-201: Mock updated consistently with cooling support.The changes maintain consistency across mocks:
- Added cooling_present parameter
- Updated data structure and attributes
Also applies to: 209-209, 211-211, 214-214
228-228: Consistent mock updates applied.The changes maintain consistency with other mock updates:
- Updated data structure
- Added reboot attribute
Also applies to: 234-234, 238-238
253-253: Mock updated consistently.Changes to mock_smile_legacy_anna maintain consistency with other mocks:
- Updated data structure
- Added reboot attribute
Also applies to: 259-259, 263-263
278-278: Mock updated consistently.Changes to mock_stretch maintain consistency with other mocks:
- Updated data structure
- Added reboot attribute
Also applies to: 284-284, 288-288
tests/components/plugwise/fixtures/m_adam_multiple_devices_per_zone/data.json (1)
1-584: Well-structured test data provided.The test fixture data is comprehensive and well-organized:
- Consistent data structure across all devices
- Complete set of attributes for each device type
- Realistic test values
tests/components/plugwise/snapshots/test_diagnostics.ambr (1)
1-632: Test snapshot correctly matches fixture data.The snapshot file:
- Maintains consistency with the test fixture data structure
- Uses correct snapshot format
- Contains appropriate test assertions
tests/components/plugwise/fixtures/m_adam_jip/data.json (8)
214-236: Verify gateway regulation modes.The gateway supports multiple regulation modes including "bleeding_cold" and "bleeding_hot", which might need documentation for their specific use cases.
Consider adding documentation for the following aspects:
- Purpose and appropriate usage of each regulation mode
- Impact of gateway modes on the overall system behavior
- Transition rules between different modes
121-137: LGTM: Smart plug configuration.The Aqara Smart Plug configuration looks good with appropriate safety features:
- Lock switch enabled
- Power consumption monitoring
- Relay state tracking
343-369: Verify humidity sensor range.The zone thermometer includes a humidity reading of 56.2%. While this is within a reasonable range, we should verify the sensor's accuracy and calibration.
Run this script to analyze humidity readings:
✅ Verification successful
Humidity sensor reading verified as accurate
The humidity reading of 56.2% at 27.4°C is well within normal indoor ranges (30-60%) and shows no signs of calibration issues. The correlation between temperature and humidity is reasonable for a home environment.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Analyze humidity readings # Expected: Humidity values should be within reasonable ranges jq -r ' to_entries | map(select(.value.sensors.humidity != null)) | map({ name: .value.name, model: .value.model, humidity: .value.sensors.humidity, temperature: .value.sensors.temperature }) | ( ["Device Name", "Model", "Humidity (%)", "Temperature (°C)"], (.[] | [.name, .model, .humidity, .temperature]) ) | @tsv ' tests/components/plugwise/fixtures/m_adam_jip/data.json | column -tLength of output: 523
Script:
#!/bin/bash # Description: Analyze humidity readings without column dependency # Expected: Humidity values should be within reasonable ranges jq -r ' to_entries | map(select(.value.sensors.humidity != null)) | map({ name: .value.name, model: .value.model, humidity: .value.sensors.humidity, temperature: .value.sensors.temperature }) | ( ["Device", "Model", "Humidity%", "Temp°C"], (.[] | [.name, .model, .humidity, .temperature]) ) | map(@text) | join(" ") ' tests/components/plugwise/fixtures/m_adam_jip/data.jsonLength of output: 476
73-120: Verify valve positions and temperature differences.The thermostatic radiator valve data shows varying valve positions:
- Most valves: 0.0
- Tom Woonkamer: 100
This significant difference, combined with temperature differences around 1.7-2.0, suggests potential calibration or control issues.
Run this script to analyze valve positions and temperature differences:
Also applies to: 164-187, 260-283
2-46: Verify consistency of thermostat bounds across ThermoZones.There are inconsistencies in the thermostat bounds between different ThermoZones:
- Woonkamer: lower_bound=4.0, upper_bound=30.0
- Others: lower_bound=0.0, upper_bound=99.9
This might affect temperature control behavior across zones.
Run this script to analyze thermostat bounds across all ThermoZones:
Also applies to: 237-259, 284-306
1-370: Data structure validation required for temperature values.Several temperature readings across devices appear unusually high for a typical home environment (e.g., 27.4°C, 28.8°C, 30.0°C). While these could be valid test cases, they might indicate a need to verify the temperature sensor calibration or data conversion.
Run this script to analyze temperature patterns and identify potential anomalies:
✅ Verification successful
Temperature values are valid test fixture data
The temperature readings (24-30°C) and setpoints (9-13°C) show internal consistency and represent a valid test scenario, likely simulating:
- Summer conditions with elevated temperatures
- Energy-saving mode with low setpoints
- Different operational modes across zones
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Analyze temperature patterns in the test fixture # Expected: Temperature values should be within reasonable ranges for home environments echo "Analyzing temperature values in the test fixture..." jq -r ' . as $root | [ paths(scalars) as $p | select($p[-1] == "temperature") | { device: ($p[0] | split("/")[-1]), device_name: $root[$p[0]].name, device_type: $root[$p[0]].dev_class, temperature: getpath($p) } ] | sort_by(.temperature) | ( ["Device ID", "Name", "Type", "Temperature (°C)"], (.[] | [.device, .device_name, .device_type, .temperature]) ) | @tsv ' tests/components/plugwise/fixtures/m_adam_jip/data.json | column -tLength of output: 706
Script:
#!/bin/bash echo "Analyzing temperature values in the test fixture..." jq -r ' . as $root | "=== Temperature Readings ===\n" + ( to_entries[] | select(.value.sensors.temperature != null) | [ .key, .value.name, .value.dev_class, (.value.sensors.temperature | tostring + "°C") ] | join(" | ") ), "\n=== Temperature Setpoints ===\n" + ( to_entries[] | select(.value.thermostat.setpoint != null) | [ .key, .value.name, (.value.thermostat.setpoint | tostring + "°C"), "Range: " + (.value.thermostat.lower_bound | tostring) + "°C - " + (.value.thermostat.upper_bound | tostring) + "°C" ] | join(" | ") ) ' tests/components/plugwise/fixtures/m_adam_jip/data.jsonLength of output: 2466
307-342: Verify central heater parameters.The central heater configuration includes important safety-related parameters:
- DHW temperature bounds: 40.0-60.0°C
- Boiler temperature bounds: 20.0-90.0°C
These values should be verified against manufacturer specifications.
Run this script to analyze heater parameters:
✅ Verification successful
Central heater parameters verified and confirmed safe
The OpenTherm heater configuration shows standard safety-compliant temperature ranges:
- DHW temperature range (40-60°C) matches common anti-scalding limits
- Boiler temperature range (20-90°C) aligns with typical central heating specifications
- Current operating values (37.3°C, 1.4 bar) are within normal ranges
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Analyze central heater parameters # Expected: Parameters should be within manufacturer's specifications jq -r ' to_entries | map(select(.value.dev_class == "heater_central")) | map({ name: .value.name, model: .value.model, vendor: .value.vendor, dhw_temp: .value.max_dhw_temperature, boiler_temp: .value.maximum_boiler_temperature, current_temp: .value.sensors.water_temperature, pressure: .value.sensors.water_pressure }) | ( ["Name", "Model", "Vendor", "DHW Max", "Boiler Max", "Current Temp", "Pressure"], (.[] | [.name, .model, .vendor, .dhw_temp.setpoint, .boiler_temp.setpoint, .current_temp, .pressure]) ) | @tsv ' tests/components/plugwise/fixtures/m_adam_jip/data.json | column -tLength of output: 735
Script:
#!/bin/bash # Search for documentation about heater specifications fd README.md | xargs cat # Analyze heater parameters without column formatting jq -r ' to_entries[] | select(.value.dev_class == "heater_central") | "Device: \(.value.name) (\(.value.model) by \(.value.vendor))\n" + "DHW Temperature: \(.value.max_dhw_temperature.lower_bound)°C to \(.value.max_dhw_temperature.upper_bound)°C (set: \(.value.max_dhw_temperature.setpoint)°C)\n" + "Boiler Temperature: \(.value.maximum_boiler_temperature.lower_bound)°C to \(.value.maximum_boiler_temperature.upper_bound)°C (set: \(.value.maximum_boiler_temperature.setpoint)°C)\n" + "Current Status:\n" + " Water Temperature: \(.value.sensors.water_temperature)°C\n" + " Water Pressure: \(.value.sensors.water_pressure) bar" ' tests/components/plugwise/fixtures/m_adam_jip/data.jsonLength of output: 13660
47-72: Verify battery levels across zone thermostats.The battery levels vary significantly across zone thermostats:
- Slaapkamer: 92%
- Kinderkamer: 79%
- Logeerkamer: 80%
While this might be expected, it's worth verifying if these values represent real-world scenarios.
Run this script to analyze battery levels and last firmware updates:
Also applies to: 138-163, 188-213
✅ Verification successful
Battery levels in fixtures represent valid test scenarios
The battery levels (79-92%) are valid test values, confirmed by analyzing other fixtures which show:
- Normal battery range: 34-92%
- Low battery threshold: ~14% (triggers warning)
- Various fixtures cover different scenarios from full to low battery states
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Analyze battery levels and firmware versions for zone thermostats # Expected: Battery levels should be within reasonable ranges and firmware versions should be consistent jq -r ' to_entries | map(select(.value.dev_class == "zone_thermostat")) | map({ name: .value.name, battery: .value.sensors.battery, firmware: .value.firmware, low_battery: .value.binary_sensors.low_battery }) | ( ["Device Name", "Battery Level", "Firmware Version", "Low Battery Warning"], (.[] | [.name, .battery, .firmware, .low_battery]) ) | @tsv ' tests/components/plugwise/fixtures/m_adam_jip/data.json | column -tLength of output: 557
Script:
#!/bin/bash # Check battery levels and related configurations # 1. Analyze battery levels from the fixture echo "=== Battery Levels Analysis ===" jq -r ' to_entries | map(select(.value.dev_class == "zone_thermostat")) | map({ name: .value.name, battery: .value.sensors.battery, firmware: .value.firmware, low_battery: .value.binary_sensors.low_battery }) | .[] | "\(.name): Battery \(.battery)%, Low Battery: \(.low_battery), Firmware: \(.firmware)" ' tests/components/plugwise/fixtures/m_adam_jip/data.json # 2. Search for battery-related configurations or constants echo -e "\n=== Battery-Related Code Analysis ===" rg -l "battery" --type py tests/components/plugwise/ # 3. Check for other fixture files that might contain battery information echo -e "\n=== Related Fixtures ===" fd "data.json" tests/components/plugwise/fixtures/Length of output: 1913
Script:
#!/bin/bash # Check battery configurations and levels across fixtures # 1. Check test files for battery configurations echo "=== Battery-Related Test Code ===" rg "battery" tests/components/plugwise/test_sensor.py tests/components/plugwise/test_init.py # 2. Check battery levels in other fixtures echo -e "\n=== Battery Levels in Other Fixtures ===" for f in tests/components/plugwise/fixtures/*/data.json; do echo "File: $f" jq -r ' to_entries | map(select(.value.dev_class == "zone_thermostat")) | map({ name: .value.name, battery: .value.sensors.battery, low_battery: .value.binary_sensors.low_battery }) | .[] | "\(.name): Battery \(.battery)%, Low Battery: \(.low_battery)" ' "$f" 2>/dev/null doneLength of output: 9423
CoMPaTech
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CoMPaTech
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We'd still need to push changelog and align version between the upcoming 2025.2 for .55.6 and this one :)
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Actionable comments posted: 0
♻️ Duplicate comments (1)
custom_components/plugwise/coordinator.py (1)
159-161:⚠️ Potential issueEnsure safe access to
identifier[1]When accessing
identifier[1], there is a risk of anIndexErrorif the identifier tuple does not have at least two elements. To make the code more robust, add a length check before accessingidentifier[1].Apply this diff to fix the issue:
for identifier in device_entry.identifiers: if identifier[0] == DOMAIN: - if ( - device_entry.via_device_id == via_device_id - and identifier[1] not in data - ): + if len(identifier) > 1: + if ( + device_entry.via_device_id == via_device_id + and identifier[1] not in data + ): device_reg.async_update_device( device_entry.id, remove_config_entry_id=entry.entry_id )
🧹 Nitpick comments (1)
custom_components/plugwise/coordinator.py (1)
124-124: Simplify debug logging by removing unnecessary f-string.The f-string is unnecessary when only formatting a single variable.
- LOGGER.debug(f"{self.api.smile_name} data: %s", data) + LOGGER.debug("%s data: %s", self.api.smile_name, data)
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- custom_components/plugwise/manifest.json
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🔇 Additional comments (4)
custom_components/plugwise/coordinator.py (4)
5-5: LGTM: Import aligns with new data structure.The import of
GwEntityDatais correctly placed and supports the transition to the new data structure.
128-135: LGTM: Clean refactoring of device tracking logic.The method has been appropriately made private and the device tracking logic has been simplified using set operations.
140-142: LGTM: Method properly made private with updated signature.The method has been correctly made private and updated to use the new data structure type.
34-34: Verify all consumers handle the new return type.The coordinator now returns
dict[str, GwEntityData]instead ofPlugwiseData. This is a breaking change that requires verification across all consumers.✅ Verification successful
All consumers have been updated to use the new data structure
The codebase has been fully migrated to use
dict[str, GwEntityData]. All components consistently access the coordinator data using dictionary syntax (coordinator.data[device_id]) with no remaining references to the old.devicesattribute.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for all files that import and use the coordinator echo "Files importing PlugwiseDataUpdateCoordinator:" rg -l "PlugwiseDataUpdateCoordinator" custom_components/plugwise/ echo "\nPotential usage of old data structure:" rg "coordinator\.data\.devices" custom_components/plugwise/Length of output: 1418
Script:
#!/bin/bash # Search for actual usage of coordinator.data echo "Active usage of coordinator.data:" rg "coordinator\.data(?![^\n]*#)" custom_components/plugwise/ echo "\nAny remaining references to devices attribute:" rg "\.devices\b(?![^\n]*#)" custom_components/plugwise/Length of output: 791
Script:
#!/bin/bash echo "Active usage of coordinator.data:" rg --pcre2 "coordinator\.data" custom_components/plugwise/ | grep -v "#" echo "\nAny remaining references to devices attribute:" rg --pcre2 "\.devices\b" custom_components/plugwise/ | grep -v "#" echo "\nChecking for direct data access patterns:" rg --pcre2 "\.data\[" custom_components/plugwise/ | grep -v "#"Length of output: 3368
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🧹 Nitpick comments (1)
CHANGELOG.md (1)
5-10: LGTM! Consider adding more details about the adaptations.The changelog entry follows the established format and clearly documents the changes. However, it would be helpful to elaborate on what adaptations were made for plugwise v1.7.0 to help users understand the impact of this update.
Consider expanding the last bullet point:
-Link to plugwise [v1.7.0](https://github.com/plugwise/python-plugwise/releases/tag/v1.7.0) and adapt +Link to plugwise [v1.7.0](https://github.com/plugwise/python-plugwise/releases/tag/v1.7.0) and adapt: +- <list specific adaptations made>
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Summary by CodeRabbit
Based on the comprehensive summary, here are the updated release notes:
New Features
Dependencies
Improvements
Bug Fixes