Add control_state to Anna output #671
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (15)
tests/data/anna/anna_v4_UPDATED_DATA.json (1)
42-42: LGTM! Consider documenting the control_state valuesThe addition of
control_stateis well-placed and its "idle" value correctly reflects the system state where heating_state is false.Consider adding documentation that describes all possible values for
control_state("idle", "heating", "cooling") and their corresponding conditions.tests/data/anna/anna_v4_no_tag.json (2)
7-7: Document relationship between control_state and climate_modeThe test data shows that
control_statecan be"heating"regardless of whetherclimate_modeis"heat"or"auto". Consider:
- Adding a comment in the test file explaining this relationship
- Documenting the valid combinations of
control_stateandclimate_modein the codeWould you like me to help draft the documentation for these state relationships?
7-7: Well-designed state abstractionThe addition of
control_stateeffectively simplifies climate-related code by providing a high-level abstraction that consolidates multiple lower-level states (heating_state,flame_state, etc.). This aligns well with the PR objective and follows good API design principles by:
- Reducing complexity for API consumers
- Encapsulating the internal state logic
- Providing clear, semantic values ("idle", "heating")
The test cases appropriately cover various state combinations, though some combinations might need verification as noted above.
tests/data/anna/anna_elga_2_cooling_UPDATED_DATA.json (1)
Line range hint
63-63: Architectural improvement: Control state simplifies climate control logicThe addition of
control_stateacross test files demonstrates a well-thought-out enhancement that:
- Provides a single, clear indicator of the thermostat's operational state
- Correctly handles various scenarios (heating, idle) based on system conditions
- Aligns with the PR objective of simplifying climate-related code
This change will make it easier for the Integration to determine the current climate control state without having to analyze multiple binary sensors.
Also applies to: 42-42, 42-42
tests/data/anna/anna_heatpump_cooling.json (1)
Line range hint
42-42: Comprehensive test coverage for control statesThe test files effectively cover the main operational scenarios:
- Active cooling with high ambient temperature
- Idle state within comfort bounds
- Heat pump cooling near setpoint
Consider adding test cases for:
- Heating state
- Error states or fault conditions
- State transitions
Also applies to: 42-42, 60-60
fixtures/anna_v4/all_data.json (2)
7-7: LGTM! Consider documenting control_state valuesThe added
control_state: "heating"accurately reflects the active heating state, consistent with:
climate_mode: "heat"- Heater's
heating_state: trueSince this PR introduces a new field across multiple files, consider documenting the possible values ("idle", "heating", "cooling") and their meanings.
Line range hint
60-60: Excellent architectural enhancementThe addition of
control_stateacross these files establishes a clear, unified way to determine the thermostat's operational state. This simplifies climate-related code by:
- Providing a single source of truth instead of checking multiple binary sensors
- Abstracting the complexity of determining the active state
- Maintaining consistency with the device's capabilities and actual state
This change will make the Integration code more maintainable and easier to understand.
Also applies to: 7-7, 7-7
tests/data/anna/anna_loria_heating_idle.json (2)
7-7: LGTM! Control state correctly indicates idle statusThe control_state "idle" accurately reflects the device state, as verified by all operational states (cooling, heating) being false.
Consider documenting the possible control_state values ("heating", "cooling", "idle") in the project's documentation or README to help integrators understand the available states and their meanings.
7-7: Consider adding test cases for state transitionsThe test fixtures cover the main states (heating, cooling, idle) well. Consider adding test cases that verify correct control_state transitions when the device switches between states.
This would help ensure reliable state handling in the Integration and catch any potential edge cases in state transitions.
fixtures/anna_elga_no_cooling/all_data.json (1)
63-65: Consider adding documentation for control_state valuesThe addition of
control_stateeffectively simplifies climate control state management. Consider:
- Adding documentation describing possible values ("heating", "cooling", "idle")
- Including validation rules (e.g., "heating" requires heating_state: true)
- Documenting the state transition logic
Also applies to: 30-30, 65-65
fixtures/anna_elga_2_schedule_off/all_data.json (1)
42-42: LGTM! Consider documenting the control_state valuesThe "idle" state correctly reflects the device's inactive heating and cooling status. However, it would be helpful to document the possible values and conditions for the control_state field.
Would you like me to help create documentation for the possible control_state values and their conditions?
fixtures/anna_loria_cooling_active/all_data.json (1)
7-7: Consider adding schema validation for control_stateWhile the implementation is consistent across files, consider:
- Documenting all possible control_state values ("cooling", "heating", "idle") in the README
- Adding JSON schema validation to ensure only valid states are used
- Adding tests to verify correct state determination based on device sensors
This will help maintain consistency as the codebase grows.
Also applies to: 60-60
fixtures/anna_heatpump_heating/all_data.json (2)
65-65: LGTM: Control state matches heating operationThe
control_state: "heating"correctly reflects the system's operation, verified by:
- heating_state: true
- cooling_state: false
Consider documenting the possible control_state values ("idle", "heating", "cooling") and their corresponding binary sensor states in the project's documentation to help future maintenance.
65-65: Consider adding state validationTo prevent state mismatches like the one found in
m_anna_heatpump_cooling/all_data.json, consider implementing validation logic that ensures thecontrol_statealways matches the binary sensor states. This could be done through:
- Unit tests that verify state consistency
- Runtime validation in the code that generates these states
Would you like help implementing these validations?
plugwise/data.py (1)
214-214: Consider adding error handling for the control state updateThe call to
_get_anna_control_stateshould be wrapped in a try-except block to handle potential KeyError exceptions.- self._get_anna_control_state(data) + try: + self._get_anna_control_state(data) + except KeyError as err: + _LOGGER.warning("Failed to get Anna control state: %s", err)
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📒 Files selected for processing (33)
fixtures/anna_elga_2/all_data.json(1 hunks)fixtures/anna_elga_2_cooling/all_data.json(1 hunks)fixtures/anna_elga_2_schedule_off/all_data.json(1 hunks)fixtures/anna_elga_no_cooling/all_data.json(1 hunks)fixtures/anna_heatpump_cooling/all_data.json(1 hunks)fixtures/anna_heatpump_cooling_fake_firmware/all_data.json(1 hunks)fixtures/anna_heatpump_heating/all_data.json(1 hunks)fixtures/anna_loria_cooling_active/all_data.json(1 hunks)fixtures/anna_loria_driessens/all_data.json(1 hunks)fixtures/anna_loria_heating_idle/all_data.json(1 hunks)fixtures/anna_v4/all_data.json(1 hunks)fixtures/anna_v4_dhw/all_data.json(1 hunks)fixtures/anna_v4_no_tag/all_data.json(1 hunks)fixtures/anna_without_boiler_fw441/all_data.json(1 hunks)fixtures/m_anna_heatpump_cooling/all_data.json(1 hunks)fixtures/m_anna_heatpump_idle/all_data.json(1 hunks)plugwise/data.py(2 hunks)tests/data/anna/anna_elga_2.json(1 hunks)tests/data/anna/anna_elga_2_cooling.json(1 hunks)tests/data/anna/anna_elga_2_cooling_UPDATED_DATA.json(1 hunks)tests/data/anna/anna_elga_2_schedule_off.json(1 hunks)tests/data/anna/anna_elga_no_cooling.json(1 hunks)tests/data/anna/anna_heatpump_cooling.json(1 hunks)tests/data/anna/anna_heatpump_cooling_fake_firmware.json(1 hunks)tests/data/anna/anna_heatpump_heating.json(1 hunks)tests/data/anna/anna_loria_cooling_active.json(1 hunks)tests/data/anna/anna_loria_driessens.json(1 hunks)tests/data/anna/anna_loria_heating_idle.json(1 hunks)tests/data/anna/anna_v4.json(1 hunks)tests/data/anna/anna_v4_UPDATED_DATA.json(1 hunks)tests/data/anna/anna_v4_dhw.json(1 hunks)tests/data/anna/anna_v4_no_tag.json(1 hunks)tests/data/anna/anna_without_boiler_fw441.json(1 hunks)
🔇 Additional comments (24)
tests/data/anna/anna_without_boiler_fw441.json (1)
7-7: LGTM! Verify test coverage for no-boiler scenario
The addition of control_state: "idle" is appropriate for this no-boiler test scenario.
Let's verify that we have test coverage for all control states in the no-boiler scenario:
✅ Verification successful
Let me gather more information about the test coverage by checking for other test files and their control states.
Control state "idle" is appropriate and well-covered in test scenarios
The verification shows comprehensive test coverage for control states in various scenarios:
- The "idle" state is consistently used across multiple no-boiler and idle scenarios (anna_loria_heating_idle.json, anna_elga_2.json)
- Other control states like "heating", "cooling", and "preheating" are properly covered in their respective test files
- The use of "idle" in anna_without_boiler_fw441.json aligns with similar thermostat configurations
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check test coverage for control states in no-boiler scenarios
# Look for test files containing "without_boiler" and check their control states
echo "Checking control_state coverage in no-boiler scenarios..."
fd -e json "without_boiler" | xargs rg "control_state"
Length of output: 208
Script:
#!/bin/bash
# Let's first find all test files and their locations
echo "All test files in the repository:"
fd -e json -t f . tests/
echo -e "\nChecking all control states in test files:"
rg -A 1 "control_state" tests/
Length of output: 9024
fixtures/anna_without_boiler_fw441/all_data.json (1)
7-7: LGTM! Verify control_state across all fixture combinations
The addition of control_state: "idle" is consistent with the device state and maintains the JSON structure.
Let's verify the consistency of control_state across all fixture combinations:
✅ Verification successful
Control state is inconsistently defined across fixtures
The verification revealed that control_state is present in multiple fixtures with varying states:
- Some fixtures have multiple devices with different control states
- Found states: "idle", "heating", "cooling", "preheating"
- The same fixture type (e.g., anna_heatpump_cooling) has inconsistent control states across variants
Let's verify if the control states align with the corresponding binary sensor states:
Control state correctly reflects the device's operational state
The verification shows that control_state consistently aligns with the device's binary sensor states:
- In
anna_without_boiler_fw441,control_state: "idle"matchesheating_state: false - Other fixtures show similar consistency between control states and their corresponding binary sensors:
heatingstate whenheating_state: truecoolingstate whencooling_state: trueidlestate when both heating and cooling states are false
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify control_state consistency across fixtures
# Check if all thermostat devices in fixtures have control_state defined
echo "Checking control_state presence in fixtures..."
fd -e json . fixtures | xargs rg '"dev_class":\s*"thermostat"' -A 10
echo "Analyzing control_state values distribution..."
fd -e json . fixtures | xargs rg '"control_state":\s*"([^"]+)"' -o | sort | uniq -c
Length of output: 24755
Script:
#!/bin/bash
# Check correlation between control_state and binary sensor states
echo "Checking binary sensor states..."
fd -e json . fixtures | xargs rg -B5 -A2 '"binary_sensors":\s*{.*"heating_state":|"cooling_state":'
echo "Checking control_state and binary sensor state pairs..."
fd -e json . fixtures | xargs rg -B10 -A10 '"control_state".*"binary_sensors"'
Length of output: 538
Script:
#!/bin/bash
# Check binary sensors and control states with fixed regex
echo "Checking binary sensors states..."
fd -e json . fixtures | xargs rg '"binary_sensors"' -A 5
echo "Checking control states with nearby binary sensors..."
fd -e json . fixtures | xargs rg '"control_state"' -B 2 -A 10
Length of output: 65850
tests/data/anna/anna_v4_dhw.json (1)
7-7: Control state correctly reflects device status
The "control_state": "idle" accurately represents that the thermostat is not actively heating the space, even though the heater's flame is on for domestic hot water purposes. This aligns with the PR's goal of providing clearer climate control state information.
tests/data/anna/anna_v4.json (1)
7-7: Verify intended behavior of heating state
The "control_state": "heating" indicates active heating, but the heater shows flame_state: false. Please verify if this test case intentionally represents:
- A transitional state where heating is requested but the flame hasn't started yet, or
- An inconsistency that needs to be corrected
✅ Verification successful
Let me analyze the results and generate additional verification scripts to get a complete picture.
The previous search showed that flame_state: false is common across many test files. Now, let's specifically look at the control_state "heating" contexts to understand if this is a valid combination in test cases.
Let me check one more aspect to understand if this is a transitional state by looking at the heating_state value in these files.
This will help us understand if the heating_state indicates that heating is requested but not yet active, which would explain the flame_state being false.
State combination is valid - represents heating request phase
The combination of states is intentional and represents a valid test case where:
control_state: heatingindicates the thermostat is requesting heatheating_state: trueconfirms the heating request is activeflame_state: falseindicates the burner hasn't ignited yet
This is a common transitional state in heating systems where there's a delay between the heating request and the actual flame ignition. The test files consistently show this pattern across different device types (standard boiler in anna_v4.json and heat pumps in anna_heatpump_heating.json).
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for similar state combinations in other test files
rg -l --json '"control_state":\s*"heating"' | xargs rg --json '"flame_state":\s*false'
Length of output: 27617
Script:
#!/bin/bash
# Search for test files with control_state "heating" to understand the state combinations
rg -A 5 '"control_state":\s*"heating"' tests/data/anna/
Length of output: 2463
Script:
#!/bin/bash
# Search for heating_state in the same files that have control_state: heating
rg -C 10 '"heating_state"' tests/data/anna/anna_v4.json tests/data/anna/anna_heatpump_heating.json tests/data/anna/anna_elga_no_cooling.json
Length of output: 4303
tests/data/anna/anna_elga_no_cooling.json (1)
63-63: LGTM! Control state correctly reflects heating activity
The added control_state: "heating" accurately represents the system state, as evidenced by:
- The heater entity shows
heating_state: true - The system is configured without cooling capability
tests/data/anna/anna_elga_2_schedule_off.json (1)
42-42: LGTM! Control state correctly reflects idle system
The added control_state: "idle" accurately represents the system state, as evidenced by:
- All activity indicators are false (heating_state: false, cooling_state: false)
- The schedule is turned off
tests/data/anna/anna_elga_2_cooling_UPDATED_DATA.json (1)
42-42: LGTM! Control state correctly reflects active heating
The added control_state: "heating" accurately represents the system state, as evidenced by:
- Active heating indicators (heating_state: true, flame_state: true)
- Current temperature (18.9°C) is below the setpoint_low (19.5°C)
tests/data/anna/anna_elga_2_cooling.json (1)
42-42: LGTM: Control state correctly reflects cooling operation
The added "control_state": "cooling" accurately represents the system state, as evidenced by:
- Active cooling indicators (compressor_state: true, cooling_state: true)
- Room temperature (24.9°C) exceeding cooling setpoint (23.0°C)
- High outdoor temperature (30.0°C)
tests/data/anna/anna_elga_2.json (1)
42-42: LGTM: Control state correctly reflects idle operation
The added "control_state": "idle" accurately represents the system state, as evidenced by:
- No active heating or cooling (all operation states false)
- Room temperature (20.9°C) within comfort bounds (19.5°C - 30.0°C)
- Moderate outdoor temperature (14.0°C)
tests/data/anna/anna_heatpump_cooling.json (1)
60-60: LGTM: Control state correctly reflects heat pump cooling operation
The added "control_state": "cooling" accurately represents the heat pump system state, as evidenced by:
- Active cooling indicators (compressor_state: true, cooling_state: true)
- Room temperature (22.3°C) above cooling setpoint (22.0°C)
- Outdoor temperature (22.0°C) above cooling activation threshold (21.0°C)
tests/data/anna/anna_heatpump_cooling_fake_firmware.json (1)
60-60: LGTM! Control state correctly reflects device operation
The added control_state: "cooling" accurately represents the thermostat's operational state, consistent with:
climate_mode: "heat_cool"indicating cooling capability- Binary sensors showing active cooling (
cooling_state: true) and inactive heating
fixtures/anna_v4_dhw/all_data.json (1)
7-7: LGTM! Control state correctly represents idle state
The added control_state: "idle" accurately reflects the thermostat's operational state, as:
- No active heating despite
climate_mode: "heat" - Consistent with heater's
heating_state: false - Correctly independent of DHW activity
fixtures/anna_v4_no_tag/all_data.json (1)
7-7: LGTM! Control state correctly reflects heating status
The added control_state "heating" accurately reflects the device state, as confirmed by the heater_central device showing heating_state: true.
tests/data/anna/anna_loria_cooling_active.json (1)
7-7: LGTM! Control state accurately reflects active cooling
The control_state "cooling" correctly matches the device state, verified by the heater_central device showing cooling_enabled: true and cooling_state: true.
tests/data/anna/anna_heatpump_heating.json (1)
65-65: LGTM! Control state accurately reflects device status
The control_state: "heating" value is consistent with the device's operational state, as evidenced by:
- Active heating (heating_state: true)
- Current temperature (19.3°C) below setpoint (20.5°C)
- Active heat pump (compressor_state: true)
tests/data/anna/anna_loria_driessens.json (1)
30-30: LGTM! Idle state correctly represents system status
The control_state: "idle" accurately reflects the system state:
- No active heating or cooling operations
- Current temperature (21.2°C) is within setpoint range (20.0-30.0°C)
fixtures/anna_elga_no_cooling/all_data.json (1)
63-63: LGTM! Verify consistency across test fixtures
The control_state: "heating" is correctly set based on the device state. Let's verify consistency across all test fixtures.
✅ Verification successful
Inconsistency found in control_state values
The verification revealed several cases where the control_state doesn't match the binary sensor states:
- In multiple fixtures, control_state is set to "heating" or "cooling" while both binary_sensors.heating_state and binary_sensors.cooling_state are false:
- fixtures/adam_multiple_devices_per_zone/all_data.json
- fixtures/adam_plus_anna_new/all_data.json
- fixtures/anna_elga_no_cooling/all_data.json
- fixtures/anna_v4/all_data.json
- fixtures/anna_v4_no_tag/all_data.json
Let's verify if there are other relevant fields that justify these states:
The control_state "heating" is correctly set based on temperature and setpoint
Looking at the additional context, the control_state values are consistent with the temperature control logic:
- In fixtures/anna_elga_no_cooling/all_data.json:
- Current temperature (19.3) is below setpoint (20.5)
- System is in heating mode to reach the setpoint
- No cooling capability as per fixture name
The same pattern is seen in other fixtures where control_state is "heating":
- Temperature is slightly below or approaching setpoint
- Binary sensors reflect the instantaneous state
- Control state reflects the active temperature regulation mode
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify control_state consistency across test fixtures
# Expected results: control_state should match the active states (heating/cooling)
# and be "idle" when no climate operation is active
# Search for all JSON files containing control_state
echo "Analyzing control_state consistency..."
for file in $(fd -e json); do
echo "=== $file ==="
# Extract and compare control_state with heating/cooling states
jq -r '
.. |
select(type == "object" and has("control_state")) |
{
control_state,
heating: (.binary_sensors.heating_state // false),
cooling: (.binary_sensors.cooling_state // false)
}' "$file" 2>/dev/null
done
Length of output: 38520
Script:
#!/bin/bash
# Check for additional context around control states
for file in fixtures/adam_multiple_devices_per_zone/all_data.json fixtures/adam_plus_anna_new/all_data.json fixtures/anna_elga_no_cooling/all_data.json fixtures/anna_v4/all_data.json fixtures/anna_v4_no_tag/all_data.json; do
echo "=== $file ==="
jq -r '
.. |
select(type == "object" and has("control_state")) |
{
control_state,
heating: (.binary_sensors.heating_state // false),
cooling: (.binary_sensors.cooling_state // false),
current_temperature: (.sensors.temperature // null),
setpoint: (.thermostat.setpoint // null),
mode: (.thermostat.mode // null)
}' "$file"
done
Length of output: 5103
fixtures/anna_elga_2_cooling/all_data.json (1)
42-42: LGTM! Control state accurately reflects cooling operation
The "cooling" state correctly aligns with the device's operational status:
- Active cooling indicated by cooling_state and compressor_state
- Room temperature (24.9°C) exceeds setpoint_high (23.0°C)
- Outdoor temperature (31.0°C) above cooling_activation_outdoor_temperature (26.0°C)
fixtures/anna_elga_2/all_data.json (1)
42-42: LGTM! Verify coverage of all possible states
The "idle" state correctly reflects the inactive status with temperature within bounds. However, we should verify that all possible control states are covered in the test fixtures.
Let's check the test coverage:
✅ Verification successful
All control states are well covered in test fixtures
The test fixtures comprehensively cover all possible control states:
- idle: Multiple fixtures showing inactive state
- heating: Various scenarios including normal heating and preheating
- cooling: Multiple cooling scenarios across different device types
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Check coverage of control_state values across test fixtures
# Expected states: idle, heating, cooling
echo "Searching for control_state values in test fixtures:"
rg -g "*.json" '"control_state":\s*"([^"]+)"' -o --replace '$1' | sort | uniq -c
Length of output: 3713
fixtures/anna_heatpump_cooling/all_data.json (1)
60-60: LGTM: control_state accurately reflects device operation
The added control_state: "cooling" correctly aligns with the device's operational state, as evidenced by the heater's binary sensors showing active cooling and inactive heating. The placement next to climate_mode is logical and maintains good JSON structure.
fixtures/anna_heatpump_cooling_fake_firmware/all_data.json (1)
60-60: LGTM: Maintains consistency across firmware variations
The control_state implementation remains consistent with other fixtures while properly representing the device state in this firmware testing scenario.
fixtures/anna_loria_cooling_active/all_data.json (1)
7-7: LGTM: Consistent implementation across different models
The control_state addition maintains consistency with other fixtures while correctly representing the operational state, demonstrating good cross-model compatibility.
fixtures/anna_loria_heating_idle/all_data.json (1)
7-7: LGTM: Control state accurately reflects system status
The added control_state: "idle" correctly represents the system's current state, as verified by the heater's binary sensors showing inactive heating and cooling states.
fixtures/anna_loria_driessens/all_data.json (1)
30-30: LGTM!
The control_state value of "idle" correctly reflects the heater device states where both heating_state and cooling_state are false.
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (4)
fixtures/legacy_anna/all_data.json (1)
40-40: Good architectural decision to add control_state.The addition of an explicit
control_statefield is a positive architectural change that will:
- Provide a single source of truth for the thermostat's operational state
- Reduce complexity in the integration code
- Make the system's behavior more predictable and easier to maintain
fixtures/legacy_anna_2/all_data.json (2)
7-7: Validate control_state against gateway configurationThe
"control_state": "idle"addition is consistent with the test data and aligns with the gateway configuration (cooling_present: false). This change enhances the state representation for climate control.Consider documenting the relationship between
control_state,climate_mode, andcooling_presentin the schema or documentation to help maintainers understand the valid state combinations.
7-7: Consider schema validation for the new control_state fieldThe addition of
control_stateacross test fixtures is consistent and well-structured. To ensure long-term maintainability:
- Consider adding JSON schema validation for the new field
- Document the relationship between various state fields (
control_state,climate_mode, binary sensors)- Update integration tests to verify state transitions
Would you like assistance in generating a JSON schema or documentation for these state relationships?
pyproject.toml (1)
Add version constraints to dependencies, particularly for aiohttp
Based on the security advisory results:
aiohttphas multiple recent vulnerabilities including a HIGH severity DoS vulnerability. The latest safe version is 3.10.11- No known vulnerabilities for
defusedxml,munch, andpython-dateutilRecommended changes:
dependencies = [ - "aiohttp", + "aiohttp>=3.10.11", # Required for security fixes "defusedxml", "munch", "python-dateutil", ]🔗 Analysis chain
Line range hint
28-31: Verify dependency versions for securityThe dependencies section doesn't specify version constraints for
aiohttp,defusedxml,munch, andpython-dateutil. Consider adding version constraints to ensure compatibility and security.Consider adding version constraints to dependencies:
dependencies = [ - "aiohttp", - "defusedxml", - "munch", - "python-dateutil", + "aiohttp>=3.8.0", + "defusedxml>=0.7.1", + "munch>=4.0.0", + "python-dateutil>=2.8.2", ]🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check for known vulnerabilities in dependencies # Check for security advisories using GitHub API for pkg in "aiohttp" "defusedxml" "munch" "python-dateutil"; do echo "Checking $pkg..." gh api graphql -f query='{ securityVulnerabilities(first: 5, ecosystem: PIP, package: "'$pkg'") { nodes { advisory { summary severity publishedAt } vulnerableVersionRange firstPatchedVersion { identifier } } } }' doneLength of output: 3217
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📒 Files selected for processing (42)
CHANGELOG.md(1 hunks)fixtures/anna_elga_2/all_data.json(1 hunks)fixtures/anna_elga_2_cooling/all_data.json(1 hunks)fixtures/anna_elga_2_schedule_off/all_data.json(1 hunks)fixtures/anna_elga_no_cooling/all_data.json(1 hunks)fixtures/anna_heatpump_cooling/all_data.json(1 hunks)fixtures/anna_heatpump_cooling_fake_firmware/all_data.json(1 hunks)fixtures/anna_heatpump_heating/all_data.json(1 hunks)fixtures/anna_loria_cooling_active/all_data.json(1 hunks)fixtures/anna_loria_driessens/all_data.json(1 hunks)fixtures/anna_loria_heating_idle/all_data.json(1 hunks)fixtures/anna_v4/all_data.json(1 hunks)fixtures/anna_v4_dhw/all_data.json(1 hunks)fixtures/anna_v4_no_tag/all_data.json(1 hunks)fixtures/anna_without_boiler_fw441/all_data.json(1 hunks)fixtures/legacy_anna/all_data.json(1 hunks)fixtures/legacy_anna_2/all_data.json(1 hunks)fixtures/m_adam_jip/all_data.json(0 hunks)fixtures/m_anna_heatpump_cooling/all_data.json(1 hunks)fixtures/m_anna_heatpump_idle/all_data.json(1 hunks)plugwise/data.py(2 hunks)plugwise/legacy/data.py(2 hunks)pyproject.toml(1 hunks)scripts/manual_fixtures.py(3 hunks)tests/data/anna/anna_elga_2.json(1 hunks)tests/data/anna/anna_elga_2_cooling.json(1 hunks)tests/data/anna/anna_elga_2_cooling_UPDATED_DATA.json(1 hunks)tests/data/anna/anna_elga_2_schedule_off.json(1 hunks)tests/data/anna/anna_elga_no_cooling.json(1 hunks)tests/data/anna/anna_heatpump_cooling.json(1 hunks)tests/data/anna/anna_heatpump_cooling_fake_firmware.json(1 hunks)tests/data/anna/anna_heatpump_heating.json(1 hunks)tests/data/anna/anna_loria_cooling_active.json(1 hunks)tests/data/anna/anna_loria_driessens.json(1 hunks)tests/data/anna/anna_loria_heating_idle.json(1 hunks)tests/data/anna/anna_v4.json(1 hunks)tests/data/anna/anna_v4_UPDATED_DATA.json(1 hunks)tests/data/anna/anna_v4_dhw.json(1 hunks)tests/data/anna/anna_v4_no_tag.json(1 hunks)tests/data/anna/anna_without_boiler_fw441.json(1 hunks)tests/data/anna/legacy_anna.json(1 hunks)tests/data/anna/legacy_anna_2.json(1 hunks)
💤 Files with no reviewable changes (1)
- fixtures/m_adam_jip/all_data.json
✅ Files skipped from review due to trivial changes (1)
- CHANGELOG.md
🚧 Files skipped from review as they are similar to previous changes (33)
- tests/data/anna/anna_v4_dhw.json
- fixtures/anna_v4_dhw/all_data.json
- fixtures/anna_v4_no_tag/all_data.json
- fixtures/anna_without_boiler_fw441/all_data.json
- tests/data/anna/anna_loria_driessens.json
- tests/data/anna/anna_elga_2_cooling.json
- fixtures/anna_heatpump_cooling/all_data.json
- tests/data/anna/anna_heatpump_cooling.json
- tests/data/anna/anna_elga_2_cooling_UPDATED_DATA.json
- tests/data/anna/anna_elga_no_cooling.json
- fixtures/m_anna_heatpump_idle/all_data.json
- tests/data/anna/anna_heatpump_heating.json
- fixtures/anna_loria_heating_idle/all_data.json
- tests/data/anna/anna_loria_cooling_active.json
- tests/data/anna/anna_without_boiler_fw441.json
- fixtures/anna_v4/all_data.json
- plugwise/data.py
- tests/data/anna/anna_elga_2_schedule_off.json
- tests/data/anna/anna_v4_no_tag.json
- tests/data/anna/anna_elga_2.json
- fixtures/anna_loria_cooling_active/all_data.json
- fixtures/anna_elga_2/all_data.json
- tests/data/anna/anna_loria_heating_idle.json
- tests/data/anna/anna_heatpump_cooling_fake_firmware.json
- tests/data/anna/anna_v4.json
- fixtures/anna_elga_2_cooling/all_data.json
- fixtures/anna_heatpump_cooling_fake_firmware/all_data.json
- fixtures/anna_elga_2_schedule_off/all_data.json
- fixtures/anna_elga_no_cooling/all_data.json
- fixtures/anna_loria_driessens/all_data.json
- fixtures/anna_heatpump_heating/all_data.json
- fixtures/m_anna_heatpump_cooling/all_data.json
- tests/data/anna/anna_v4_UPDATED_DATA.json
🔇 Additional comments (8)
fixtures/legacy_anna/all_data.json (1)
40-40: LGTM! The new control_state field is consistent with device state.
The added control_state: "heating" correctly reflects the device's current state, as evidenced by:
- The heater's
heating_stateistrue - The thermostat's
climate_modeis set to"heat"
Let's verify the consistency of control_state values across other fixture files:
✅ Verification successful
Verified: The control_state field correctly reflects the device's operational state
The control_state value "heating" in legacy_anna/all_data.json is consistent with the device's state, as confirmed by:
- The device's
heating_stateistrue - The device's
climate_modeis "heat"
The verification across other fixtures shows this pattern is consistently implemented:
- Devices with
heating_state: truehavecontrol_state: "heating"or"preheating" - Devices with
cooling_state: truehavecontrol_state: "cooling" - Devices with both states false have
control_state: "idle"
🏁 Scripts executed
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#!/bin/bash
# Description: Verify control_state values across Anna fixture files
# Expected: Should find control_state entries in other Anna fixtures with values matching their respective states
# Search for control_state in Anna fixture files
rg -C 5 '"control_state":' fixtures/*/all_data.json
# Search for related state indicators to verify consistency
echo "Checking related state indicators..."
rg -C 5 '"heating_state":' fixtures/*/all_data.json
rg -C 5 '"cooling_state":' fixtures/*/all_data.json
rg -C 5 '"climate_mode":' fixtures/*/all_data.json
Length of output: 73667
tests/data/anna/legacy_anna_2.json (1)
7-7: Verify control_state enum values
The addition of "control_state": "idle" appears consistent with the device's current state (no active heating). However, we should verify all possible enum values for control_state.
✅ Verification successful
Control state value "idle" is valid and consistent
The value "idle" is a valid control state, as evidenced by its consistent usage across multiple test fixtures and data files. The complete set of valid control states appears to be:
- idle
- heating
- cooling
- preheating
The usage in legacy_anna_2.json aligns with these established values and correctly reflects the device's inactive state (no active heating).
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#!/bin/bash
# Search for all control_state values across test files to verify consistency
echo "Checking all possible control_state values:"
rg -g '*.json' '"control_state":\s*"([^"]+)"' -o --replace '$1' | sort -u
Length of output: 3371
tests/data/anna/legacy_anna.json (1)
40-40: LGTM! The control_state value is consistent with other indicators.
The "heating" control state correctly reflects the system's state, as evidenced by:
climate_mode: "heat"- Binary sensors showing
flame_state: trueandheating_state: true
Let's verify the consistency of control states across other test files:
✅ Verification successful
The control_state values are consistent across test files and match their respective climate modes
The verification shows that control_state is consistently used across all Anna test files with three valid states:
"heating": Used when system is actively heating (matches our file's state)"cooling": Used in cooling-specific test files (e.g. anna_loria_cooling_active.json)"idle": Used when system is not actively heating/cooling
The value "heating" in our file correctly aligns with other test cases showing active heating states.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify control_state values across test files
# Expected: All Anna-related test files should have control_state field
# with values matching their heating/cooling states
# Search for control_state in test data files
rg -C 5 '"control_state":' tests/data/anna/
Length of output: 15409
scripts/manual_fixtures.py (2)
54-54: LGTM: Consistent removal of control_state
The removal of control_state when climate_mode is set to "off" maintains logical consistency between the two fields.
302-302: LGTM: Verify control_state value consistency
The control_state of "cooling" is consistent with the fixture context and temperature values. However, let's verify the relationship between temperature and setpoints across all fixtures.
✅ Verification successful
LGTM: Control state is correctly set based on temperature conditions
The control_state "cooling" is correctly set in the fixture as the temperature (26.3°C) is:
- Above setpoint_low (20.5°C)
- Below setpoint_high (30.0°C)
- In a context where outdoor temperatures are high (28.0-28.2°C)
Additionally, the code in plugwise/data.py confirms that control_state is set to "cooling" when the cooling_state binary sensor is active, showing consistency in the implementation.
🏁 Scripts executed
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Script:
#!/bin/bash
# Description: Verify control_state consistency with temperature and setpoints
# Look for patterns where control_state is set to verify temperature relationships
rg -A 5 '"control_state":\s*"cooling"' ./fixtures/ | \
grep -E '"temperature"|"setpoint"|"setpoint_low"|"setpoint_high"'
Length of output: 120
Script:
#!/bin/bash
# Let's try a different approach by searching in the Python script directly
# since the fixtures might be generated programmatically
# First, let's see the context around where control_state is set
rg -B 5 -A 5 'control_state.*=.*cooling'
# Also check for any temperature/setpoint related assignments nearby
rg -B 10 -A 10 '3cb70739631c4d17a86b8b12e8a5161b' scripts/manual_fixtures.py
Length of output: 3255
pyproject.toml (2)
7-7: Ensure consistent Python version across all tool configurations
The Python version has been updated consistently across different tool configurations:
- Project classifiers: Added Python 3.13
- mypy: Updated to Python 3.13
- pylint: Updated to Python 3.13
- ruff: Updated to target Python 3.13
This consistency is good practice.
Also applies to: 12-24, 279-280, 288-289
7-7: Verify Python version compatibility
While the project's Python version requirement remains at >=3.12.0, the classifiers list both Python 3.12 and 3.13. This is forward-looking but might need verification:
- Ensure all dependencies support Python 3.13
- Verify CI pipeline includes Python 3.13 testing
Also applies to: 12-24
✅ Verification successful
Python 3.13 compatibility is properly configured and tested
Based on the verification results:
- The project correctly specifies Python 3.13 support in:
- pyproject.toml classifiers
- pylint configuration (py-version = "3.13")
- mypy configuration (python_version = "3.13")
- CI pipeline includes comprehensive testing for Python 3.13:
- GitHub Actions runs tests against both Python 3.13.0 and 3.12
- All static type checking and linting tools are configured for Python 3.13
🏁 Scripts executed
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Script:
#!/bin/bash
# Description: Check dependencies' Python version support and CI configuration
# Check for CI configuration files
echo "Checking CI configuration..."
fd -t f "\.ya?ml$" .github/workflows/ -x cat {} \; | rg -i "python.*3\.13"
# Check setup.py for any additional Python requirements
echo "Checking setup.py..."
fd -t f "setup\.py$" -x cat {} \; | rg -i "python"
Length of output: 389
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#!/bin/bash
# Let's check the dependencies in pyproject.toml and their Python version support
echo "Checking pyproject.toml dependencies..."
cat pyproject.toml | rg -A5 "^\[tool\.poetry\.dependencies\]|^\[tool\.poetry\.dev-dependencies\]"
# Check test configurations
echo -e "\nChecking test configurations..."
fd -t f "tox.ini|pytest.ini|setup.cfg" -x cat {} \;
# Check if there are any Python version specific code paths
echo -e "\nChecking version-specific code paths..."
rg -i "sys\.version_info|python_version|python_requires" --type py
Length of output: 1230
Script:
#!/bin/bash
# Let's check the complete pyproject.toml content
echo "Checking complete pyproject.toml..."
cat pyproject.toml
# Check GitHub workflow files for test coverage and Python version matrix
echo -e "\nChecking GitHub workflow test configurations..."
fd -t f "\.ya?ml$" .github/workflows/ -x cat {} \; | rg -C5 "python-version"
Length of output: 28567
plugwise/legacy/data.py (1)
67-67: LGTM! The method call is well-placed.
The _get_anna_control_state call is appropriately positioned after _climate_data, maintaining a logical flow for thermostat-related operations.
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🧹 Outside diff range and nitpick comments (1)
scripts/manual_fixtures.py (1)
Based on the search results, I can generate the final response as we have clear evidence of all possible control states from the codebase.
Add test fixtures for 'heating' and 'preheating' control states
The implementation currently covers 'cooling' and 'idle' states, but the codebase shows there are additional control states:
- 'heating' (used in both legacy and current code)
- 'preheating' (referenced in control state validation)
These states should have corresponding test fixtures to ensure comprehensive test coverage.
🔗 Analysis chain
Line range hint
302-355: Verify test coverage for all possible control statesThe implementation covers "cooling" and "idle" states. Let's verify if these are all the possible states that need test fixtures.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for all possible control_state values in the codebase rg -B 2 -A 2 'control_state.*=.*' --type pyLength of output: 3055
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🚧 Files skipped from review as they are similar to previous changes (1)
- pyproject.toml
🔇 Additional comments (3)
scripts/manual_fixtures.py (3)
54-54: LGTM: Removal of control_state is appropriate
The removal of control_state from this device configuration helps test the system's behavior when this field is absent.
302-302: LGTM: Control state correctly set for cooling scenario
The addition of control_state with value "cooling" is consistent with the device's configuration where cooling is active and temperature (26.3°C) is above setpoint_low (20.5°C).
355-355: LGTM: Control state correctly set for idle scenario
The addition of control_state with value "idle" is consistent with the device's configuration where both compressor and cooling states are false, and temperatures are within normal range.
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This will allow us to simplify the climate-code in the Integration
Summary by CodeRabbit
New Features
control_statefield to multiple thermostat entities, indicating their current operational states such as "idle", "cooling", and "heating".Bug Fixes
Tests
control_statefield for various thermostat entities, improving test coverage for state management.Chores
control_state.