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@bouwew bouwew commented Jan 19, 2025

All changes:

  • Replace PlugwiseData by a single data-dict, move gateway-items to Smile properties
  • Move SmileComm class to it's own file
  • Move notifications-content into the gateway-dict
  • Big code clean-up
  • Rename and clean-up fixtures

Summary by CodeRabbit

I'll craft concise release notes focusing on the key user-facing changes:

  • New Features

    • Added new device properties: cooling_present, gateway_id, heater_id, item_count, and reboot
    • Enhanced device configuration management with centralized SmileProps
  • Improvements

    • Streamlined data structure for more efficient device information retrieval
    • Simplified device and gateway information representation
  • Breaking Changes

    • Removed legacy data structures and gateway configuration methods
    • Updated method signatures for async_update across multiple components
  • Version

    • Bumped version to 1.7.0a7

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coderabbitai bot commented Jan 19, 2025

Walkthrough

The pull request introduces a comprehensive refactoring of the Plugwise library, focusing on restructuring data management and simplifying the representation of gateway and device properties. The changes primarily involve consolidating various data structures into a more streamlined SmileProps class, removing redundant attributes, and updating method signatures across multiple modules to support a more consistent and simplified data handling approach.

Changes

File Change Summary
plugwise/__init__.py Updated import statements, modified Smile class constructor, added new properties like cooling_present, gateway_id, heater_id, item_count, and reboot
plugwise/common.py Removed _appliances and _heater_id attributes, added _cooling_present
plugwise/constants.py Renamed GatewayData to SmileProps, removed PlugwiseData class
plugwise/data.py Added _smile_props and _zones attributes, updated data handling methods
plugwise/helper.py Removed SmileComm class, renamed gateway_id to _gateway_id
pyproject.toml Updated version to 1.7.0a7

Suggested labels

enhancement, quality

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In lines of code, a transformation neat,
Smile props dancing to a rhythm sweet
Gateways and devices, now slim and bright
Complexity fades, simplicity takes flight!

Hop hop hooray for cleaner design! 🚀

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codecov bot commented Jan 19, 2025

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 100.00%. Comparing base (b1d3723) to head (255289e).
Report is 2 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff            @@
##              main      #690   +/-   ##
=========================================
  Coverage   100.00%   100.00%           
=========================================
  Files           20        21    +1     
  Lines         3449      3411   -38     
=========================================
- Hits          3449      3411   -38     

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

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Actionable comments posted: 8

🔭 Outside diff range comments (1)
plugwise/smile.py (1)

Line range hint 112-138: Ensure proper error handling when updating entities.

The async_update method should handle exceptions appropriately to avoid crashing the application.

Review and adjust the exception handling to cover all potential issues.

 try:
     await self.full_xml_update()
     self.get_all_gateway_entities()
     # Set self._cooling_enabled - required for set_temperature(),
     # also, check for a failed data-retrieval
     if "heater_id" in self._smile_props:
         heat_cooler = self.gw_entities[self._smile_props["heater_id"]]
         if (
             "binary_sensors" in heat_cooler
             and "cooling_enabled" in heat_cooler["binary_sensors"]
         ):
             self._cooling_enabled = heat_cooler["binary_sensors"][
                 "cooling_enabled"
             ]
     else:
         # cover failed data-retrieval for P1
-        _ = self.gw_entities[self._gateway_id]["location"]
+        _ = self.gw_entities[self._smile_props.get("gateway_id")]["location"]
 except KeyError as err:
     raise DataMissingError("No Plugwise actual data received") from err
🧹 Nitpick comments (8)
plugwise/smilecomm.py (1)

27-35: Simplify the constructor by reordering parameters and setting default values.

Consider reordering the parameters in the constructor for better readability and providing default values where appropriate. This can enhance the usability of the class.

Apply this diff to reorder parameters and set default values:

 def __init__(
     self,
     host: str,
     password: str,
+    port: int = DEFAULT_PORT,
+    username: str = DEFAULT_USERNAME,
     timeout: int,
-    port: int,
     username: str,
     websession: ClientSession | None,
 ) -> None:

Ensure you import DEFAULT_PORT and DEFAULT_USERNAME if they are defined in a constants module.

plugwise/__init__.py (4)

20-21: Import statements should be alphabetically ordered.

Maintain consistent ordering of imports for readability and style compliance.

Reorder the imports:

     DEFAULT_TIMEOUT,
     DEFAULT_USERNAME,
+    GwEntityData,
     DOMAIN_OBJECTS,
-    GwEntityData,
     LOGGER,

89-95: Simplify the cooling_present property getter.

The property can be simplified using the get method on the dictionary with a default value.

Refactor the property:

 @property
 def cooling_present(self) -> bool:
     """Return the cooling capability."""
-    if "cooling_present" in self._smile_props:
-        return self._smile_props["cooling_present"]
-    return False
+    return self._smile_props.get("cooling_present", False)

125-132: Add documentation for the reboot property.

The docstring should follow the standard format, providing a clear description of the property's purpose.

Adjust the docstring:

 @property
 def reboot(self) -> bool:
     """Return the reboot capability."""
-    """Return the reboot capability.
-
-    All non-legacy devices support gateway-rebooting.
-    """
+    # All non-legacy devices support gateway-rebooting.
     return not self.smile_legacy

Alternatively, include the explanation within the docstring.


Line range hint 178-197: Consider passing _smile_props directly without unpacking.

To simplify the constructor, you can pass _smile_props directly to SmileAPI and access its attributes within the class.

Adjust the initialization:

 self._smile_api = (
     SmileAPI(
         self._cooling_present,
         self._elga,
         self._is_thermostat,
         self._last_active,
         self._loc_data,
         self._on_off_device,
         self._opentherm_device,
         self._request,
         self._schedule_old_states,
-        self._smile_props,
-        self.smile_hostname,
-        self.smile_hw_version,
-        self.smile_mac_address,
-        self.smile_model,
-        self.smile_model_id,
-        self.smile_name,
-        self.smile_type,
-        self.smile_version,
+        self._smile_props,
     )
     if not self.smile_legacy
     else SmileLegacyAPI(
plugwise/smile.py (2)

Line range hint 74-86: Consider initializing SmileData before setting attributes.

It's generally safer to initialize the parent class before accessing its methods or properties.

Reorder the initialization:

 SmileData.__init__(self)
 self._cooling_present = _cooling_present
 self._elga = _elga
 self._is_thermostat = _is_thermostat
 self._last_active = _last_active
 self._loc_data = _loc_data
 self._on_off_device = _on_off_device
 self._opentherm_device = _opentherm_device
 self._request = _request
 self._schedule_old_states = _schedule_old_states
 self._smile_props = _smile_props

464-466: Clarify exception handling in call_request method.

Since you're re-raising the caught exception, consider whether the try-except block is necessary.

You might remove the try-except block if no additional handling is performed.

 async def call_request(self, uri: str, **kwargs: Any) -> None:
     """ConnectionFailedError wrapper for calling request()."""
-    try:
         await self._request(uri, method=method, data=data)
-    except ConnectionFailedError as exc:
-        raise ConnectionFailedError from exc
plugwise/helper.py (1)

625-629: Correct comment formatting for consistency

The comment block starting at line 625 uses single quotes and includes a #, which is unnecessary inside a multi-line string. For consistency and proper formatting, replace the triple single quotes ''' with triple double quotes """ and remove the #.

Apply this diff to fix the comment formatting:

-            ''' # Anna+Elga: base cooling_state on the elga-status-code.
+            """Anna+Elga: base cooling_state on the elga-status-code.
             For Elga, 'elga_status_code' in (8, 9) means cooling is enabled.
             'elga_status_code' = 8 means cooling is active, 9 means idle.
-            '''
+            """
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Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between ca72a5c and 005c4e9.

📒 Files selected for processing (14)
  • plugwise/__init__.py (11 hunks)
  • plugwise/common.py (1 hunks)
  • plugwise/constants.py (1 hunks)
  • plugwise/data.py (5 hunks)
  • plugwise/helper.py (8 hunks)
  • plugwise/legacy/data.py (2 hunks)
  • plugwise/legacy/helper.py (2 hunks)
  • plugwise/legacy/smile.py (6 hunks)
  • plugwise/smile.py (8 hunks)
  • plugwise/smilecomm.py (1 hunks)
  • tests/test_adam.py (1 hunks)
  • tests/test_generic.py (1 hunks)
  • tests/test_init.py (2 hunks)
  • tests/test_legacy_anna.py (1 hunks)
🔇 Additional comments (30)
plugwise/__init__.py (1)

107-112: Handle missing heater_id gracefully.

The heater_id property should handle the case where heater_id might not be present in _smile_props.

Confirm that the absence of heater_id is acceptable and won't cause issues elsewhere in the code.

 @property
 def heater_id(self) -> str:
     """Return the heater-id."""
-    if "heater_id" in self._smile_props:
-        return self._smile_props["heater_id"]
-    return NONE
+    return self._smile_props.get("heater_id", NONE)
✅ Verification successful

The proposed change is safe to implement.

The verification shows that both implementations return identical values and maintain the same type (str). The heater_id property is used extensively throughout the codebase, but the change in implementation doesn't affect its behavior or return type.

🏁 Scripts executed

The following scripts were executed for the analysis:

Error: No shell scripts found


Script:

#!/bin/bash
# Search for heater_id usage
rg "heater_id" -B 2 -A 2

# Find NONE constant definition
rg "NONE\s*=" -B 2 -A 2

# Look for type hints involving heater_id
ast-grep --pattern 'heater_id: $_'

Length of output: 17356

plugwise/helper.py (2)

76-76: Initialization of self._gateway_id

Ensure that self._gateway_id is properly initialized before it's used elsewhere in the class. While it's declared here, verify that all methods accessing this attribute do so after it has been assigned a value to prevent any AttributeError.


180-181: ⚠️ Potential issue

Reassignment of self._gateway_id may cause unintended side effects

Reassigning self._gateway_id to self._home_loc_id changes the identifier for the gateway. This could impact methods that rely on self._gateway_id to uniquely identify the gateway appliance. Specifically, checks like entity_id == self._gateway_id in methods such as _get_actuator_mode and _get_gateway_outdoor_temp may no longer function as intended. Please review all usages of self._gateway_id after this reassignment to ensure they behave correctly.

tests/test_generic.py (1)

51-53: Verify the updated import path in the patch decorator

The import path in the @patch decorator has been changed to "plugwise.smilecomm.ClientSession.get". Please confirm that ClientSession.get is correctly accessible from the plugwise.smilecomm module. If ClientSession is still imported from aiohttp in plugwise.helper, the patch path may need adjustment to reflect the correct module.

tests/test_legacy_anna.py (1)

34-34: Assertion of smile.reboot status is appropriate

Adding assert not smile.reboot enhances the test by ensuring that the reboot attribute is correctly set to False after establishing the connection. This assertion improves the thoroughness of the test case.

plugwise/legacy/data.py (5)

10-10: LGTM!

The import of SmileProps from constants is correctly added.


20-20: LGTM!

The _smile_props attribute is correctly declared with type annotation.


26-27: LGTM!

The docstring is updated to reflect the new data storage mechanism.


29-31: LGTM!

Gateway data is now correctly stored in _smile_props instead of gw_data.


33-33: LGTM!

The heater ID is now correctly stored in _smile_props.

plugwise/legacy/smile.py (6)

22-22: LGTM!

The import of SmileProps from constants is correctly added.


43-44: LGTM!

The constructor parameters are correctly updated to use _request and _smile_props.


62-63: LGTM!

The attributes are correctly initialized from the constructor parameters.


80-82: LGTM!

The request handling is correctly updated to use self._request.

Also applies to: 85-85


125-130: LGTM!

The request handling in the match statement is correctly updated to use self._request.


139-139: LGTM!

The return type is correctly updated to return the gateway entities dictionary.

plugwise/common.py (2)

37-37: LGTM!

The _cooling_present attribute is correctly declared.


Line range hint 89-89: LGTM!

The model name is correctly determined based on the _cooling_present attribute.

plugwise/data.py (5)

19-19: LGTM!

The import of SmileProps from constants is correctly added.


30-31: LGTM!

The attributes are correctly declared with type annotations.


37-37: LGTM!

The docstring is updated to reflect the new data storage mechanism.


44-51: LGTM!

Gateway data is now correctly stored in _smile_props.


70-70: Verify gateway ID reference consistency.

The code uses both self._gateway_id and self.gateway_id across the codebase. Please ensure consistent usage to avoid potential issues.

Run the following script to verify gateway ID references:

Also applies to: 124-124, 306-306

plugwise/legacy/helper.py (2)

73-73: Maintain consistent naming across the codebase.

The variable smile_fw_version has been renamed to smile_version to align with the new property naming convention.


179-179: Use the new variable name in string formatting.

The firmware key in the dictionary is using smile_version correctly, aligning with the variable renaming.

plugwise/constants.py (1)

Line range hint 396-407: Well-structured type definition for SmileProps.

The SmileProps class is well-defined with proper type hints and documentation. The class consolidates gateway-related properties, making the data structure more maintainable.

tests/test_adam.py (1)

55-55: Good test coverage for reboot functionality.

The addition of assert smile.reboot ensures that the reboot capability is properly tested.

tests/test_init.py (3)

611-614: Simplified async_update calls.

The code has been simplified by removing redundant variable assignments and directly using the async_update() method.


620-627: Direct property access improves code clarity.

The code now directly accesses properties from the smile object instead of using intermediate variables, making the code more maintainable.


Line range hint 631-642: Well-structured cooling property checks.

The code properly checks for the existence of cooling-related properties before accessing them, preventing potential KeyError exceptions.

Comment on lines +161 to +151
async def close_connection(self) -> None:
"""Close the Plugwise connection."""
await self._websession.close()
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⚠️ Potential issue

Ensure the web session is closed only if it was created by the class.

If the web session is passed in by the user, closing it might lead to unexpected behavior.

Modify the close_connection method to check if the session was created internally:

 async def close_connection(self) -> None:
     """Close the Plugwise connection."""
+    if self._websession and self._websession.close:
         await self._websession.close()

Committable suggestion skipped: line range outside the PR's diff.

Comment on lines +233 to +228
if model == "Unknown" or self.smile_version is None: # pragma: no cover
# Corner case check
LOGGER.error(
"Unable to find model or version information, please create"
" an issue on http://github.com/plugwise/python-plugwise"
)
raise UnsupportedDeviceError

version_major = str(self.smile_fw_version.major)
version_major = str(self.smile_version.major)
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⚠️ Potential issue

Ensure UnsupportedDeviceError is raised when model or version information is missing.

The condition checks should be comprehensive to prevent unsupported devices from proceeding.

Verify that the error handling covers all necessary cases and adjust the condition if needed.

Comment on lines 350 to 341
self._devices = await self._smile_api.async_update()
except (DataMissingError, KeyError) as err:
raise PlugwiseError("No Plugwise data received") from err

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🛠️ Refactor suggestion

Handle exceptions more specifically.

Catching general exceptions like KeyError may obscure the actual issue. Consider handling specific exceptions or re-raising with additional context.

Adjust the exception handling:

 try:
     self._devices = await self._smile_api.async_update()
-except (DataMissingError, KeyError) as err:
+except DataMissingError as err:
     raise PlugwiseError("No Plugwise data received") from err
+except KeyError as err:
+    raise PlugwiseError(f"Unexpected data format: {err}") from err
📝 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.

Suggested change
self._devices = await self._smile_api.async_update()
except (DataMissingError, KeyError) as err:
raise PlugwiseError("No Plugwise data received") from err
self._devices = await self._smile_api.async_update()
except DataMissingError as err:
raise PlugwiseError("No Plugwise data received") from err
except KeyError as err:
raise PlugwiseError(f"Unexpected data format: {err}") from err

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Actionable comments posted: 0

🧹 Nitpick comments (3)
plugwise/smilecomm.py (3)

25-47: Add input parameter validation.

Consider validating input parameters to ensure they meet requirements:

  • Validate port range (0-65535)
  • Ensure host is not empty
  • Verify timeout is positive
 def __init__(
     self,
     host: str,
     password: str,
     port: int,
     timeout: int,
     username: str,
     websession: ClientSession | None,
 ) -> None:
     """Set the constructor for this class."""
+    if not host:
+        raise ValueError("Host cannot be empty")
+    if not 0 <= port <= 65535:
+        raise ValueError("Port must be between 0 and 65535")
+    if timeout <= 0:
+        raise ValueError("Timeout must be positive")
+
     if not websession:
         aio_timeout = ClientTimeout(total=timeout)
         self._websession = ClientSession(timeout=aio_timeout)

88-110: Improve retry logic to handle different error cases.

The retry logic could be improved to:

  1. Handle different types of errors differently
  2. Use exponential backoff
  3. Log retry attempts
-        except (
-            ClientError
-        ) as exc:  # ClientError is an ancestor class of ServerTimeoutError
-            if retry < 1:
-                LOGGER.warning(
-                    "Failed sending %s %s to Plugwise Smile, error: %s",
-                    method,
-                    command,
-                    exc,
-                )
-                raise ConnectionFailedError from exc
-            return await self._request(command, retry - 1)
+        except ClientError as exc:
+            if retry < 1:
+                LOGGER.warning(
+                    "Failed sending %s %s to Plugwise Smile, error: %s",
+                    method,
+                    command,
+                    exc,
+                )
+                raise ConnectionFailedError from exc
+            
+            # Log retry attempt
+            LOGGER.debug(
+                "Retrying %s %s, attempts left: %d",
+                method,
+                command,
+                retry - 1,
+            )
+            
+            # Add exponential backoff
+            await asyncio.sleep(2 ** (3 - retry))
+            return await self._request(command, retry - 1)

140-146: Enhance XML parsing robustness.

The XML parsing could be more robust by:

  1. Adding size limits to prevent XML bombs
  2. Validating XML structure against a schema
  3. Adding more specific error handling
         try:
             # Encode to ensure utf8 parsing
+            if len(result) > 10_000_000:  # 10MB limit
+                raise InvalidXMLError("XML response too large")
+
             xml = etree.XML(escape_illegal_xml_characters(result).encode())
+            
+            # Validate basic XML structure
+            if xml.tag != "xml_root":  # Replace with actual root tag
+                raise InvalidXMLError("Invalid XML structure")
+
         except etree.ParseError as exc:
             LOGGER.warning("Smile returns invalid XML for %s", self._endpoint)
             raise InvalidXMLError from exc
+        except ValueError as exc:
+            LOGGER.warning("Invalid XML content for %s: %s", self._endpoint, exc)
+            raise InvalidXMLError from exc
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 005c4e9 and 6b76233.

📒 Files selected for processing (1)
  • plugwise/smilecomm.py (1 hunks)
⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: Check commit
🔇 Additional comments (7)
plugwise/smilecomm.py (7)

1-20: Well-structured imports and file organization!

The file has proper licensing, documentation, and well-organized imports with clear separation of internal and external dependencies.


25-40: Clean constructor implementation!

The constructor avoids event loop manipulation issues by directly creating the ClientSession when needed.


58-60: Initialize use_headers properly before usage.

The variable use_headers may be None when used later in the code.

 url = f"{self._endpoint}{command}"
-use_headers = headers
+use_headers = headers or {}

62-87: Refactor the use of match-case for broader compatibility.

The use of match-case statements requires Python 3.10+.

 try:
-    match method:
-        case "delete":
+    if method == "delete":
         resp = await self._websession.delete(url, auth=self._auth)
-        case "get":
+    elif method == "get":
         # Work-around for Stretchv2, should not hurt the other smiles
         use_headers = {"Accept-Encoding": "gzip"}
         resp = await self._websession.get(
             url, headers=use_headers, auth=self._auth
         )
-        case "post":
+    elif method == "post":
         use_headers = {"Content-type": "text/xml"}
         resp = await self._websession.post(
             url,
             headers=use_headers,
             data=data,
             auth=self._auth,
         )
-        case "put":
+    elif method == "put":
         use_headers = {"Content-type": "text/xml"}
         resp = await self._websession.put(
             url,
             headers=use_headers,
             data=data,
             auth=self._auth,
         )
+    else:
+        raise ValueError(f"Unsupported method: {method}")

115-133: Refactor the use of match-case for broader compatibility.

The use of match-case statements requires Python 3.10+.

-        match resp.status:
-            case 200:
+        if resp.status == 200:
                 # Cornercases for server not responding with 202
                 if method in ("post", "put"):
                     return
-            case 202:
+        elif resp.status == 202:
                 # Command accepted gives empty body with status 202
                 return
-            case 401:
+        elif resp.status == 401:
                 msg = (
                     "Invalid Plugwise login, please retry with the correct credentials."
                 )
                 LOGGER.error("%s", msg)
                 raise InvalidAuthentication
-            case 405:
+        elif resp.status == 405:
                 msg = "405 Method not allowed."
                 LOGGER.error("%s", msg)
                 raise ConnectionFailedError

134-139: Handle empty or error responses more robustly.

The error response handling could be improved.

 if not (result := await resp.text()) or (
     "<error>" in result and "Not started" not in result
 ):
     LOGGER.warning("Smile response empty or error in %s", result)
     raise ResponseError
+elif "Invalid XML" in result:
+    LOGGER.warning("Smile returned invalid XML in %s", result)
+    raise InvalidXMLError

149-151: Ensure the web session is closed only if it was created by the class.

If the web session is passed in by the user, closing it might lead to unexpected behavior.

 async def close_connection(self) -> None:
     """Close the Plugwise connection."""
+    if self._websession and self._websession.close:
         await self._websession.close()

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Actionable comments posted: 1

🔭 Outside diff range comments (1)
plugwise/helper.py (1)

Line range hint 167-182: Improve error handling and documentation for gateway ID updates.

The gateway ID manipulation is critical for P1 smartmeter functionality. Consider:

  1. Adding error handling for the case where self.gw_entities doesn't contain self._gateway_id
  2. Documenting the reason for swapping gateway and smartmeter IDs
+        # For P1 devices, swap gateway and smartmeter IDs to maintain backward compatibility
+        try:
             self.gw_entities[self._home_loc_id] = self.gw_entities.pop(self._gateway_id)
             self._gateway_id = self._home_loc_id
+        except KeyError as err:
+            LOGGER.error("Failed to update gateway ID: %s", err)
+            raise
🧹 Nitpick comments (9)
fixtures/anna_elga_2_cooling/all_data.json (1)

86-86: LGTM! Completes consistent restructuring across all fixtures.

The changes successfully complete the architectural shift from centralized gateway properties to device-level properties across all fixture files.

The consistent restructuring across all fixtures suggests a well-planned architectural change that:

  1. Improves modularity by moving properties closer to their relevant devices
  2. Makes the data structure more maintainable by eliminating duplicate information
  3. Provides a foundation for device-specific notifications
fixtures/m_anna_heatpump_idle/all_data.json (1)

15-15: Architectural improvement noted.

The relocation of notifications to the device level improves modularity by keeping device-specific data with the device itself rather than in a centralized gateway object.

This change:

  • Improves separation of concerns
  • Makes the data structure more maintainable
  • Allows for better scalability with multiple devices
fixtures/anna_loria_driessens/all_data.json (1)

15-15: Consider documenting the architectural change.

The consistent implementation of device-level notifications across all fixtures suggests this is a significant architectural change.

Consider:

  1. Adding a comment in the code explaining the rationale
  2. Updating relevant documentation to reflect this architectural decision
  3. Adding migration notes if this affects existing installations
fixtures/adam_plus_anna_new/all_data.json (1)

Line range hint 1-277: Consider enhancing test coverage for notifications.

While the fixtures cover both empty notifications and error messages, consider adding test cases for:

  • Multiple notifications
  • Different notification types (warnings, info)
  • Notification state transitions

Would you like me to help create additional test fixtures covering these scenarios?

plugwise/__init__.py (1)

95-98: Consider adding error handling for missing gateway_id.

The property could raise a KeyError if gateway_id is not in _smile_props.

 @property
 def gateway_id(self) -> str:
     """Return the gateway-id."""
-    return self._smile_props["gateway_id"]
+    if "gateway_id" in self._smile_props:
+        return self._smile_props["gateway_id"]
+    return NONE
tests/test_init.py (1)

625-629: Consider using a more descriptive variable name.

The variable name self.cooling_present could be more descriptive to indicate its scope.

-self.cooling_present = smile.cooling_present
+self.has_cooling_capability = smile.cooling_present
plugwise/helper.py (3)

76-86: Add type hints for class attributes.

The class attributes are declared but lack type hints. Adding type hints would improve code maintainability and enable better static type checking.

-        self._gateway_id: str
+        self._gateway_id: str | None
-        self._is_thermostat: bool
+        self._is_thermostat: bool = False
-        self._last_active: dict[str, str | None]
+        self._last_active: dict[str, str | None] = {}
-        self._loc_data: dict[str, ThermoLoc]
+        self._loc_data: dict[str, ThermoLoc] = {}
-        self._schedule_old_states: dict[str, dict[str, str]]
+        self._schedule_old_states: dict[str, dict[str, str]] = {}

625-629: Define constants for Elga cooling status codes.

The magic numbers 8 and 9 for cooling status should be defined as constants for better maintainability and readability.

+# At module level
+ELGA_COOLING_ACTIVE = 8
+ELGA_COOLING_IDLE = 9
+ELGA_COOLING_STATES = (ELGA_COOLING_ACTIVE, ELGA_COOLING_IDLE)

-        For Elga, 'elga_status_code' in (8, 9) means cooling is enabled.
-        'elga_status_code' = 8 means cooling is active, 9 means idle.
+        For Elga, 'elga_status_code' in ELGA_COOLING_STATES means cooling is enabled.
+        ELGA_COOLING_ACTIVE means cooling is active, ELGA_COOLING_IDLE means idle.

651-655: Improve method documentation with parameter and return type information.

The docstring could be more detailed with parameter descriptions and return type information.

-        """Loria/Thermastage: base cooling-related on cooling_state and modulation_level.
-
-        For the Loria or Thermastage heatpump connected to an Anna cooling-enabled is
-        indicated via the Cooling Enable switch in the Plugwise App.
-        """
+        """Process cooling state for Loria/Thermastage devices.
+
+        This method determines the cooling state based on the cooling_state and
+        modulation_level values. For Loria or Thermastage heatpumps connected to
+        an Anna device, the cooling-enabled state is controlled via the Cooling
+        Enable switch in the Plugwise App.
+
+        Args:
+            data: Dictionary containing device data including sensors and binary_sensors
+
+        Note:
+            Updates the following states in the data dictionary:
+            - binary_sensors['cooling_enabled']
+            - binary_sensors['cooling_state']
+            - The internal _cooling_enabled and _cooling_active flags
+        """
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between bee364e and 3c40501.

📒 Files selected for processing (39)
  • fixtures/adam_heatpump_cooling/all_data.json (1 hunks)
  • fixtures/adam_jip/all_data.json (1 hunks)
  • fixtures/adam_multiple_devices_per_zone/all_data.json (1 hunks)
  • fixtures/adam_onoff_cooling_fake_firmware/all_data.json (1 hunks)
  • fixtures/adam_plus_anna/all_data.json (1 hunks)
  • fixtures/adam_plus_anna_new/all_data.json (1 hunks)
  • fixtures/adam_plus_anna_new_regulation_off/all_data.json (1 hunks)
  • fixtures/adam_zone_per_device/all_data.json (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/m_adam_cooling/all_data.json (1 hunks)
  • fixtures/m_adam_heating/all_data.json (1 hunks)
  • fixtures/m_adam_jip/all_data.json (1 hunks)
  • fixtures/m_adam_multiple_devices_per_zone/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)
  • fixtures/p1v4_442_single/all_data.json (1 hunks)
  • fixtures/p1v4_442_triple/all_data.json (1 hunks)
  • plugwise/__init__.py (11 hunks)
  • plugwise/constants.py (2 hunks)
  • plugwise/data.py (5 hunks)
  • plugwise/helper.py (9 hunks)
  • pyproject.toml (1 hunks)
  • tests/test_adam.py (8 hunks)
  • tests/test_anna.py (15 hunks)
  • tests/test_init.py (2 hunks)
  • tests/test_p1.py (2 hunks)
✅ Files skipped from review due to trivial changes (1)
  • pyproject.toml
🚧 Files skipped from review as they are similar to previous changes (9)
  • fixtures/anna_heatpump_heating/all_data.json
  • fixtures/adam_plus_anna_new_regulation_off/all_data.json
  • fixtures/anna_heatpump_cooling/all_data.json
  • fixtures/p1v4_442_single/all_data.json
  • tests/test_adam.py
  • fixtures/anna_heatpump_cooling_fake_firmware/all_data.json
  • fixtures/anna_elga_2/all_data.json
  • fixtures/anna_elga_2_schedule_off/all_data.json
  • plugwise/data.py
🔇 Additional comments (30)
tests/test_p1.py (2)

31-31: LGTM: Entity count update aligns with data restructuring

The increment in entity count from 32 to 33 is consistent with the architectural changes moving from PlugwiseData to Smile properties.


81-81: LGTM: Entity count update aligns with data restructuring

The increment in entity count from 41 to 42 is consistent with the architectural changes moving from PlugwiseData to Smile properties.

tests/test_anna.py (1)

33-33: LGTM: Consistent entity count updates across all test methods

All entity count assertions have been incremented by 1, which is consistent with the architectural changes moving from PlugwiseData to Smile properties. The changes are systematic and align with the PR objectives.

Also applies to: 112-112, 141-141, 170-170, 199-199, 229-229, 255-255, 301-301, 328-328, 355-355, 380-380, 409-409, 463-463, 531-531, 554-554

fixtures/anna_without_boiler_fw441/all_data.json (1)

47-47: LGTM: Improved data structure organization

Moving notifications to the device level and removing the root-level gateway object creates a more logical and maintainable data structure, aligning with the PR's architectural improvements.

fixtures/p1v4_442_triple/all_data.json (1)

15-19: LGTM: Well-structured notifications with clear warning message

The notifications have been properly moved to the device level, and the warning message about the smart meter connection is clear and informative. This change aligns with the improved data structure organization.

fixtures/anna_v4_dhw/all_data.json (1)

47-47: LGTM! Consistent with architectural changes.

The addition of the notifications property at the device level aligns with the PR's objective of restructuring gateway properties.

fixtures/anna_v4/all_data.json (1)

47-47: LGTM! Maintains consistency across fixtures.

The changes mirror those in anna_v4_dhw/all_data.json, ensuring consistent structure across fixture files.

fixtures/anna_v4_no_tag/all_data.json (1)

47-47: LGTM! Consistent implementation.

The changes maintain the same structure as other fixture files, supporting the architectural changes.

fixtures/anna_elga_no_cooling/all_data.json (1)

15-15: LGTM! Maintains structural consistency.

The changes follow the same pattern as other fixtures while correctly maintaining unique device identifiers.

fixtures/anna_loria_cooling_active/all_data.json (1)

49-49: LGTM! The notifications property is correctly placed.

The relocation of notifications from the gateway object to the device level aligns with the architectural changes, making the data structure more device-centric.

fixtures/anna_loria_heating_idle/all_data.json (1)

49-49: Consistent with the architectural changes.

The notifications property is consistently placed at the device level, matching the pattern across other files.

fixtures/m_anna_heatpump_cooling/all_data.json (1)

15-15: Verify notification handling in the codebase.

While the notifications property is correctly placed, we should verify that all code handling notifications has been updated to work with the new device-level structure.

✅ Verification successful

Notification handling is properly implemented

The codebase shows consistent and proper handling of notifications:

  • Notifications are correctly handled at the gateway level
  • Test coverage verifies both presence and absence of notifications
  • Empty notifications object is a valid state
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for any remaining references to gateway notifications
rg -l "gateway.*notifications" --type py

# Search for notification handling code
ast-grep --pattern 'def $_(notifications)'

Length of output: 106


Script:

#!/bin/bash
# Check the content of the test file
cat tests/test_init.py

# Search for broader notification patterns
rg -l "notifications" --type py --type json

# Search for notification property access patterns
ast-grep --pattern '$_.notifications'

Length of output: 44955

fixtures/adam_onoff_cooling_fake_firmware/all_data.json (1)

53-53: LGTM: Consistent with the new architecture.

The addition of the empty notifications object to the gateway device entry aligns with the architectural change of moving from centralized to device-specific notifications.

fixtures/adam_plus_anna/all_data.json (1)

88-92: LGTM: Enhanced error handling structure.

The notifications object now includes a unique identifier for each notification and detailed error messages, improving error tracking and debugging capabilities.

fixtures/m_adam_cooling/all_data.json (1)

83-83: LGTM: Maintains architectural consistency.

The empty notifications object follows the same pattern as other fixture files, ensuring consistent structure across the codebase.

fixtures/m_adam_heating/all_data.json (1)

88-88: LGTM: Consistent implementation.

The empty notifications object maintains consistency with the new device-specific notification architecture.

fixtures/adam_plus_anna_new/all_data.json (1)

172-172: LGTM: Maintains consistency across fixtures.

The empty notifications object follows the established pattern for device-specific notifications.

plugwise/constants.py (2)

396-397: LGTM: Appropriate class renaming.

The renaming from GatewayData to SmileProps better reflects the class's purpose in managing Smile properties.


553-553: LGTM: Logical attribute relocation.

Moving the notifications attribute from GwEntityData to SmileProps aligns with the centralization of gateway-related properties.

fixtures/m_adam_jip/all_data.json (1)

228-228: LGTM: Consistent with architectural changes.

The addition of an empty notifications object to the gateway device entry aligns with the new data structure.

fixtures/m_adam_multiple_devices_per_zone/all_data.json (1)

573-577: LGTM: Well-structured notifications implementation.

The notifications object follows a clear structure with:

  • UUID-based keys for individual notifications
  • Detailed warning messages containing device identification and timing information
fixtures/adam_jip/all_data.json (1)

229-229: Consistent implementation across fixtures.

fixtures/adam_zone_per_device/all_data.json (1)

579-583: Consistent implementation across fixtures.

fixtures/adam_multiple_devices_per_zone/all_data.json (1)

582-586: LGTM! The notification structure is well-formed.

The addition of the notifications attribute to the gateway device follows a consistent structure and provides meaningful warning information about unreachable nodes.

plugwise/__init__.py (3)

20-21: LGTM! Clean import structure.

The imports of GwEntityData and SmileProps align with the new data structure, improving type safety.


88-93: LGTM! Well-documented property.

The cooling_present property provides a clean interface to check cooling capability with proper fallback.


334-341: LGTM! Clear error handling in async_update.

The method properly handles potential errors and provides clear error messages.

fixtures/adam_heatpump_cooling/all_data.json (1)

299-299: LGTM! Consistent notification structure.

The empty notifications object maintains API consistency even when there are no active notifications.

tests/test_init.py (2)

620-624: LGTM! Clear logging of gateway information.

The logging statements provide essential information for debugging and testing.


645-645: LGTM! Consistent JSON output format.

The JSON output maintains a consistent structure with the new API design.

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Actionable comments posted: 4

🧹 Nitpick comments (67)
fixtures/anna_v4/data.json (4)

8-8: Consider using semantic versioning for firmware version.

Using a timestamp for firmware versioning can make version comparison complex. Consider using semantic versioning (e.g., "4.0.15") for consistency with the gateway firmware format.


15-19: Document temperature units and consider consolidating temperature settings.

Two suggestions to improve clarity and maintainability:

  1. Add documentation specifying the temperature unit (presumably Celsius)
  2. Consider consolidating temperature_offset and thermostat sections as they contain related temperature bounds and resolution settings

Also applies to: 20-31


46-46: Document the purpose of empty notifications.

The empty notifications object might confuse other developers. Consider either:

  1. Adding a comment explaining why it's empty in this test case
  2. Including example notifications to demonstrate the expected structure

77-82: Add bounds for sensor values.

Unlike temperature settings, the sensor values (especially water_pressure) lack upper/lower bounds. Consider adding bounds to ensure values stay within acceptable ranges during testing.

fixtures/anna_loria_driessens/data.json (3)

32-32: Consider using semantic versioning for firmware version.

The firmware version is using a timestamp format which differs from the semantic versioning used in the gateway device. Consider standardizing the version format across all devices.


22-28: Consider internationalizing schedule names.

The schedule names are in Dutch, which might affect users in different locales. Consider implementing a translation mechanism for these names.


1-102: Consider adding JSON schema validation.

The file structure is well-organized, but to ensure data consistency and prevent potential issues, consider:

  1. Creating a JSON schema to validate the structure
  2. Adding schema validation to the code that processes this data

Would you like me to help create a JSON schema for this configuration file?

fixtures/anna_heatpump_heating/data.json (2)

10-10: Consider using a more realistic MAC address format in test fixtures.

The current MAC address "012345670001" appears to be a simplified format. While this works for testing, using a realistic MAC address format (e.g., "01:23:45:67:00:01") would make the test data more representative of real-world scenarios.

-    "mac_address": "012345670001",
+    "mac_address": "01:23:45:67:00:01",

78-79: Consider consolidating duplicate setpoint values.

The setpoint values appear in both the sensors and thermostat objects:

"sensors": {
  "setpoint_high": 30.0,
  "setpoint_low": 20.5
},
"thermostat": {
  "setpoint_high": 30.0,
  "setpoint_low": 20.5
}

Consider storing these values in a single location to avoid potential inconsistencies in test data maintenance.

Also applies to: 91-92

fixtures/anna_elga_2/data.json (1)

48-63: Consider consolidating duplicate temperature settings.

The temperature settings appear in multiple places:

  1. Under sensors: setpoint_high and setpoint_low
  2. Under thermostat: setpoint_high, setpoint_low, and bounds

Consider consolidating these settings to avoid potential inconsistencies and maintenance issues.

   "sensors": {
     "cooling_activation_outdoor_temperature": 24.0,
     "cooling_deactivation_threshold": 2.0,
     "illuminance": 0.5,
-    "setpoint_high": 30.0,
-    "setpoint_low": 19.5,
     "temperature": 19.2
   },
   "temperature_offset": {
     "lower_bound": -2.0,
     "resolution": 0.1,
     "setpoint": 0.0,
     "upper_bound": 2.0
   },
   "thermostat_settings": {
     "lower_bound": 4.0,
     "upper_bound": 30.0,
     "resolution": 0.1,
     "setpoint_high": 30.0,
     "setpoint_low": 19.5
   }
fixtures/anna_heatpump_cooling/data.json (3)

10-10: Consider using a more realistic MAC address in test fixtures.

The MAC address "012345670001" appears to be a simplified mock value. While this works for testing, using a realistic MAC address format (e.g., "00:11:22:33:44:55") would make the test data more representative of real-world scenarios.

-    "mac_address": "012345670001",
+    "mac_address": "00:11:22:33:44:55",

14-14: Document the purpose of the empty notifications object.

The empty notifications object might confuse other developers. Consider adding a comment in the PR description or documentation explaining why this field exists and when it might contain data.


58-60: Document the relationship between schedules and climate modes.

The configuration shows:

  • Available schedules: ["standaard", "off"]
  • Climate mode: "heat_cool"
  • Control state: "cooling"

Consider documenting how these settings interact, particularly:

  1. How the "off" schedule affects the climate mode
  2. Whether "heat_cool" mode automatically switches between heating and cooling based on setpoints
fixtures/adam_multiple_devices_per_zone/data.json (1)

581-585: Consider masking sensitive information in notification messages.

The notification message contains a MAC address which could be considered sensitive information. Consider masking or removing the MAC address from test fixtures.

-        "warning": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
+        "warning": "Node Plug (with MAC address **REDACTED**, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
fixtures/anna_elga_2_cooling/data.json (2)

51-53: Consider documenting cooling threshold behavior.

The cooling configuration includes important thresholds:

  • Activation at 26.0°C outdoor temperature
  • Deactivation threshold of 3.0°C
  • Current illuminance of 0.5

Consider adding documentation about how these values interact to control the cooling behavior.


85-85: Document the purpose of the empty notifications object.

The notifications field is empty ({}). Consider:

  1. Adding a comment explaining the expected structure when notifications are present
  2. Including an example notification in the fixture to demonstrate the format
fixtures/smile_p1_v2_2/data.json (1)

5-5: Consider normalizing vendor and model strings.

The model and vendor strings contain escaped backslashes (Ene5\\T210-DESMR5.0). Consider normalizing these strings to use forward slashes or removing escapes if not required.

-    "model": "Ene5\\T210-DESMR5.0",
+    "model": "Ene5/T210-DESMR5.0",
-    "vendor": "Ene5\\T210-DESMR5.0"
+    "vendor": "Ene5/T210-DESMR5.0"

Also applies to: 23-23

fixtures/stretch_v23/data.json (1)

12-353: Standardize sensor and switch attributes across devices.

The sensor and switch configurations are consistent across devices, but there are some variations in the available metrics:

  • Some devices have electricity_produced_interval while others don't
  • All devices have electricity_consumed and basic switch controls

Consider standardizing the sensor attributes across all devices for consistency, even if some values are always 0 for certain device types. This would make the data structure more predictable for consumers of the API.

Example standardized sensor structure:

 "sensors": {
   "electricity_consumed": 0.0,
   "electricity_consumed_interval": 0.0,
   "electricity_produced": 0.0,
+  "electricity_produced_interval": 0.0
 }
fixtures/adam_heatpump_cooling/data.json (2)

761-761: Fix extra whitespace in device name.

The name "Thermostaat BK2" contains double spaces which should be normalized to a single space.

-    "name": "Thermostaat  BK2",
+    "name": "Thermostaat BK2",

796-800: Consider using more realistic temperature bounds.

Most zones use a very wide temperature range (0.0-99.9°C) which is impractical for residential heating/cooling. The "Woonkamer" zone uses more realistic bounds (1.0-35.0°C). Consider standardizing all zones to use similar practical bounds.

Example for other zones:

-      "lower_bound": 0.0,
-      "upper_bound": 99.9
+      "lower_bound": 1.0,
+      "upper_bound": 35.0

Also applies to: 563-568

fixtures/adam_onoff_cooling_fake_firmware/data.json (3)

39-67: Enhance test coverage for gateway notifications and modes.

Consider adding:

  1. Sample notifications to test notification handling
  2. Edge cases for gateway modes (e.g., switching between heating/cooling)
  3. Real-world firmware version patterns if "3.2.8" is not representative

80-111: Enhance test fixture data for better coverage.

Consider the following improvements:

  1. Add non-zero values for electricity consumption metrics to test energy monitoring
  2. Consider using English names for schedules or add a comment explaining the Dutch names
  3. Add secondary thermostats to test multi-thermostat scenarios

1-112: Well-structured test fixture with room for enhancement.

The JSON structure provides good coverage of the Adam device ecosystem with cooling functionality. The relationships between devices are properly established through location IDs, and the data includes various operational modes and states.

However, consider documenting the purpose of this fixture (e.g., what specific test scenarios it covers) in a comment at the top of the file.

fixtures/legacy_anna_2/data.json (1)

15-24: Consider consolidating duplicate setpoint values.

The setpoint value of 15.0 appears in both sensors.setpoint and thermostat.setpoint. This duplication could lead to inconsistencies if one value is updated without the other.

Consider keeping the setpoint in only one location, preferably under the thermostat object, and referencing it from there.

fixtures/anna_elga_no_cooling/data.json (5)

14-14: Document the notifications structure.

The empty notifications object should be documented to explain its purpose and expected structure when populated.


3-5: Consider renaming binary sensor for consistency.

The binary sensor key plugwise_notification uses underscore notation while other fields use camelCase. Consider renaming to maintain consistent naming conventions across the configuration.

   "binary_sensors": {
-    "plugwise_notification": false
+    "notification": false
   },

46-53: Add value range constraints for sensors.

The modulation_level sensor value (52) lacks explicit bounds. Consider adding validation constraints for all numeric sensor values to ensure they stay within acceptable ranges.


70-70: Consider using enums for preset modes and schedules.

String literals are used for preset modes and available schedules. Consider defining these as enums in the codebase to:

  • Prevent typos
  • Enable better type checking
  • Make updates more maintainable

Also applies to: 61-61


1-93: Add documentation for the test fixture.

Since this is a test fixture file, consider adding:

  1. A comment header explaining the purpose of this fixture
  2. Documentation about the relationship between devices
  3. Information about which test scenarios this fixture covers
fixtures/anna_v4_no_tag/data.json (5)

4-4: Consider standardizing schedule names.

The schedule names mix languages:

  • Dutch: "Standaard", "Thuiswerken"
  • English: "off"

Consider standardizing to either all Dutch or all English for consistency.

Also applies to: 14-14


46-46: Consider removing empty notifications object.

The notifications object is empty and might be redundant since there's already a plugwise_notification binary sensor. Consider removing it if it's not actively used.


74-74: Consider standardizing model_id format.

The model_id format ("2.32") differs from other devices (e.g., "smile_thermo"). Consider standardizing the format across all devices for consistency.


63-63: Consider adjusting DHW temperature resolution.

The resolution of 0.01 for DHW temperature might be unnecessarily precise. Most heating systems work with 0.5 or 1.0 degree increments for DHW. Consider if this level of precision is needed.


1-88: Consider adding JSON schema validation.

To ensure data integrity and maintain consistency, consider adding a JSON schema file that defines:

  • Required fields for each device type
  • Valid value ranges for temperatures and other measurements
  • Allowed values for enums (e.g., preset_modes, dev_class)
  • Data types and formats for each field

This will help catch configuration issues early and provide better documentation of the expected data structure.

Would you like me to help create a JSON schema file for this configuration?

fixtures/anna_without_boiler_fw441/data.json (2)

4-4: Standardize schedule naming convention.

The available_schedules array contains inconsistent capitalization: ["Test", "Normaal", "off"]. Consider standardizing to either all capitalized or all lowercase values.

-    "available_schedules": ["Test", "Normaal", "off"],
+    "available_schedules": ["Test", "Normaal", "Off"],

8-8: Standardize firmware version format across devices.

The firmware version format is inconsistent between devices:

  • Thermostat uses ISO 8601 datetime: "2018-02-08T11:15:53+01:00"
  • Gateway uses semantic versioning: "4.4.1"

Consider standardizing the format across all devices for consistency.

Also applies to: 39-39

fixtures/p1v4_442_triple/data.json (4)

9-9: Consider using a more descriptive location identifier.

Using the device ID as the location identifier ("location": "03e65b16e4b247a29ae0d75a78cb492e") might make it harder to understand the physical location of the device. Consider using a more descriptive location name.

-    "location": "03e65b16e4b247a29ae0d75a78cb492e",
+    "location": "main_gateway_location",

3-5: Simplify notification handling.

The binary sensor plugwise_notification seems redundant with the notifications object, as they serve the same purpose of indicating a notification state. Consider consolidating these into a single notification mechanism.

-    "binary_sensors": {
-      "plugwise_notification": true
-    },
     "notifications": {
       "97a04c0c263049b29350a660b4cdd01e": {
-        "warning": "The Smile P1 is not connected to a smart meter."
+        "type": "warning",
+        "message": "The Smile P1 is not connected to a smart meter.",
+        "active": true
       }
     },

Also applies to: 14-18


24-24: Use consistent location naming.

The smart meter uses the gateway's device ID as its location. This should be updated to match the gateway's location for consistency.

-    "location": "03e65b16e4b247a29ae0d75a78cb492e",
+    "location": "main_gateway_location",

27-53: Enhance sensor data structure.

The current sensor data structure has several areas for improvement:

  1. Missing units of measurement
  2. Long sensor names could be grouped better
  3. No validation ranges for values

Consider restructuring the sensors object to include metadata for each sensor.

Example restructure for one sensor:

     "sensors": {
-      "electricity_consumed_off_peak_cumulative": 70537.898,
+      "electricity_consumed_off_peak_cumulative": {
+        "value": 70537.898,
+        "unit": "kWh",
+        "valid_range": [0, 999999],
+        "category": "electricity_consumption",
+        "period": "off_peak"
+      },
fixtures/adam_plus_anna_new_regulation_off/data.json (1)

1-286: Consider implementing fixture data validation.

To maintain data quality and prevent regression issues, consider:

  1. Adding JSON schema validation for this fixture
  2. Implementing reasonable bounds checking for all numerical values
  3. Using anonymized/randomized identifiers instead of real device IDs
fixtures/stretch_v31/data.json (3)

2-11: Consider standardizing firmware version format and adding hardware version.

The gateway device entry differs from other devices in the following ways:

  • Uses semantic versioning for firmware while other devices use ISO timestamps
  • Missing hardware version attribute that's present in other devices

Additionally, good job on anonymizing the MAC addresses for security!


12-87: Standardize hardware version format and numeric precision.

Observations about data consistency:

  1. Hardware version format varies:
    • Some start with "0000-" (lines 15, 72)
    • Others start with "6539-" (lines 34, 53)
  2. Electricity consumption values have inconsistent precision

Consider:

  • Standardizing the hardware version format
  • Defining a consistent decimal precision for electricity values
  • Adding schema validation to ensure data consistency

1-136: Add JSON schema validation and documentation.

The overall structure aligns well with the PR objective of using a single data dictionary. To improve maintainability and prevent data inconsistencies, consider:

  1. Adding a JSON schema to validate:
    • Required attributes for each device type
    • Format of identifiers and MAC addresses
    • Allowed values for device classes
    • Numeric precision for sensor values
  2. Including documentation about:
    • Available device types and their specific attributes
    • Purpose and behavior of different group types
    • Expected ranges for sensor values
fixtures/anna_heatpump_cooling_fake_firmware/data.json (2)

2-19: Consider enhancing the test fixture with more realistic data.

A few suggestions to improve the test data quality:

  1. The MAC address "012345670001" appears to be a placeholder. Consider using a realistic MAC address format for better test coverage.
  2. The empty notifications object could benefit from example notification data to test notification handling.
  3. Consider adding metadata for the outdoor temperature sensor (e.g., unit, timestamp).

1-92: Consider adding documentation for the test fixture.

The JSON structure is well-organized, but could benefit from:

  1. A header comment explaining the test scenario (heat pump cooling with fake firmware).
  2. Documentation of the relationship between location IDs.
  3. Schema validation to ensure the fixture maintains the correct format.
fixtures/legacy_anna/data.json (1)

2-10: Consider using more realistic test data for the gateway device.

The current gateway data uses obvious placeholder values (e.g., repeated "aaaa" in ID, sequential MAC address). While this works for basic testing, using more realistic-looking data would make the fixtures more representative of production scenarios and help catch format-specific issues earlier.

-  "0000aaaa0000aaaa0000aaaa0000aa00": {
+  "015ae9ea3f964e668e490fa39da3870b": {
     "dev_class": "gateway",
     "firmware": "1.8.22",
-    "location": "0000aaaa0000aaaa0000aaaa0000aa00",
+    "location": "015ae9ea3f964e668e490fa39da3870b",
     "mac_address": "01:23:45:67:89:AB",
fixtures/anna_elga_2_schedule_off/data.json (1)

37-72: Consider consolidating duplicate temperature setpoints.

The setpoint_high (30.0) and setpoint_low (19.5) values appear in both the sensors and thermostat objects. This duplication could lead to inconsistencies during updates.

Consider moving these values to a single location, preferably under the thermostat object, and referencing them from there.

   "sensors": {
     "cooling_activation_outdoor_temperature": 26.0,
     "cooling_deactivation_threshold": 3.0,
     "illuminance": 0.5,
-    "setpoint_high": 30.0,
-    "setpoint_low": 19.5,
     "temperature": 20.9
   },
fixtures/adam_zone_per_device/data.json (5)

578-582: Consider standardizing notification format.

The notification structure uses UUIDs as keys with nested warning messages. Consider standardizing this format:

  1. Use an array of notifications instead of UUID-keyed objects
  2. Add severity levels and timestamps as explicit fields
-    "notifications": {
-      "af82e4ccf9c548528166d38e560662a4": {
-        "warning": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
-      }
-    },
+    "notifications": [
+      {
+        "id": "af82e4ccf9c548528166d38e560662a4",
+        "severity": "warning",
+        "timestamp": "2020-01-18T23:03:00Z",
+        "message": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable. Please check the connection and restart the device."
+      }
+    ],

43-48: Consider adding temperature unit specification.

Multiple devices have temperature-related fields (setpoint, lower_bound, upper_bound) but the temperature unit (Celsius/Fahrenheit) is not explicitly specified. Consider adding a temperature_unit field to avoid ambiguity.

     "thermostat": {
+      "temperature_unit": "celsius",
       "lower_bound": 0.0,
       "resolution": 0.01,
       "setpoint": 21.5,
       "upper_bound": 100.0
     },

Also applies to: 77-82, 130-135, 278-283, 425-430


344-349: Standardize temperature offset ranges.

All temperature_offset configurations have identical values. Consider moving these common configurations to a shared schema or template to maintain consistency and ease future updates.

Also applies to: 368-373, 394-399, 477-482, 531-536, 557-562


571-573: Add version compatibility information.

The gateway firmware version (3.0.15) and hardware information are provided, but there's no explicit indication of compatibility requirements. Consider adding:

  1. Minimum required firmware version
  2. Compatible hardware versions
  3. API version information

33-34: Add validation rules for sensor values.

Several devices report sensor values (temperature, battery, valve_position) without explicit validation rules. Consider adding:

  1. Valid ranges for each sensor type
  2. Warning thresholds
  3. Critical thresholds
     "sensors": {
       "battery": 51,
+      "battery_thresholds": {
+        "warning": 20,
+        "critical": 10
+      },
       "setpoint": 14.0,
       "temperature": 19.1,
+      "temperature_thresholds": {
+        "min_valid": -30.0,
+        "max_valid": 100.0
+      },
       "temperature_difference": -0.3,
       "valve_position": 0.0
     },

Also applies to: 197-202, 338-343, 471-476, 524-529

fixtures/anna_loria_heating_idle/data.json (2)

4-4: Remove trailing space from schedule name "Test ".

The schedule name contains a trailing space which could cause comparison issues in the code.

-    "available_schedules": ["Winter", "Test ", "off"],
+    "available_schedules": ["Winter", "Test", "off"],

1-96: Consider documenting the schema structure.

This JSON structure represents a significant change in how device data is organized. Consider adding a schema file (e.g., JSON Schema) to:

  1. Document the expected structure
  2. Validate fixture data
  3. Help maintain consistency across fixtures
  4. Aid in generating TypeScript types for potential web interfaces

Would you like me to help create a JSON Schema definition for this data structure?

fixtures/anna_loria_cooling_active/data.json (3)

4-4: Remove trailing space in schedule name.

The schedule name "Test " contains a trailing space which could cause comparison issues in the code.

-    "available_schedules": ["Winter", "Test ", "off"],
+    "available_schedules": ["Winter", "Test", "off"],

48-48: Document the purpose of empty notifications object.

Consider adding a comment in the fixture to explain why notifications is an empty object and what it typically contains.

-    "notifications": {},
+    "notifications": {
+      "_comment": "Empty notifications indicate normal operation with no active alerts"
+    },

23-23: Standardize temperature resolution across devices.

There are inconsistent temperature resolutions:

  • Thermostat: 0.1
  • Heater: 0.01

Consider standardizing the resolution across all temperature measurements for consistency.

Also applies to: 68-68, 74-74

fixtures/adam_plus_anna_new/data.json (1)

158-180: Document the purpose of the empty notifications object.

The gateway configuration includes an empty notifications object. Consider adding documentation about:

  • Expected notification types
  • When notifications are populated
  • How notifications are processed
fixtures/adam_jip/data.json (2)

223-224: Standardize MAC address field naming.

The gateway device uses both mac_address and zigbee_mac_address. Consider standardizing to use only zigbee_mac_address for consistency with other devices.

-    "mac_address": "012345670001",
     "zigbee_mac_address": "ABCD012345670101"

Also applies to: 236-236


72-72: Anonymize sensitive device identifiers.

The fixture contains real-looking MAC addresses. While these might be dummy values, we should ensure consistent anonymization:

  1. Use clearly fake MAC addresses (e.g., XX:XX:XX:XX:XX:XX)
  2. Document the anonymization scheme
-    "zigbee_mac_address": "ABCD012345670A03"
+    "zigbee_mac_address": "XX:XX:XX:XX:XX:03"

Also applies to: 96-96, 120-120, 137-137, 163-163, 187-187, 213-213, 236-236, 283-283, 369-369

fixtures/adam_plus_anna/data.json (2)

57-57: Consider updating firmware dates in test fixtures.

Both plug devices (MediaCenter and Work-PC) show an old firmware date from 2019. Consider updating these to more recent dates to ensure tests remain relevant for newer firmware versions.

Also applies to: 114-114


87-91: Consider adding notification severity levels.

The notification structure could be enhanced by including severity levels (e.g., error, warning, info) to help prioritize issues:

 "notifications": {
   "6fb89e35caeb4b1cb275184895202d84": {
+    "severity": "error",
     "error": "There is no OpenTherm communication with the boiler."
   }
 }
fixtures/anna_v4_dhw/data.json (1)

4-4: Consider internationalizing schedule names.

The schedule names ("Standaard", "Thuiswerken") are in Dutch. Consider using language-neutral identifiers and handling translations at the UI layer for better internationalization support.

fixtures/smile_p1_v2/data.json (3)

4-4: Consider using a meaningful location identifier.

The location field currently uses the device ID which seems redundant. Consider using a more meaningful identifier or description that represents the actual physical location of the device.


25-25: Replace placeholder device ID with a realistic value.

The gateway device ID appears to be a placeholder value (aaaa0000aaaa0000aaaa0000aaaa00aa). For test fixtures, consider using a more realistic ID format that matches production patterns.


29-29: Standardize MAC address format.

The MAC address is represented without separators. Consider using a standard format (e.g., 01:23:45:67:00:01 or 01-23-45-67-00-01) for better readability and consistency.

-    "mac_address": "012345670001",
+    "mac_address": "01:23:45:67:00:01",
📜 Review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 3c40501 and 2b702aa.

📒 Files selected for processing (32)
  • fixtures/adam_heatpump_cooling/data.json (1 hunks)
  • fixtures/adam_jip/data.json (1 hunks)
  • fixtures/adam_multiple_devices_per_zone/data.json (1 hunks)
  • fixtures/adam_onoff_cooling_fake_firmware/data.json (1 hunks)
  • fixtures/adam_plus_anna/data.json (1 hunks)
  • fixtures/adam_plus_anna_new/data.json (1 hunks)
  • fixtures/adam_plus_anna_new_regulation_off/data.json (1 hunks)
  • fixtures/adam_zone_per_device/data.json (1 hunks)
  • fixtures/anna_elga_2/data.json (1 hunks)
  • fixtures/anna_elga_2_cooling/data.json (1 hunks)
  • fixtures/anna_elga_2_schedule_off/data.json (1 hunks)
  • fixtures/anna_elga_no_cooling/data.json (1 hunks)
  • fixtures/anna_heatpump_cooling/data.json (1 hunks)
  • fixtures/anna_heatpump_cooling_fake_firmware/data.json (1 hunks)
  • fixtures/anna_heatpump_heating/data.json (1 hunks)
  • fixtures/anna_loria_cooling_active/data.json (1 hunks)
  • fixtures/anna_loria_driessens/data.json (1 hunks)
  • fixtures/anna_loria_heating_idle/data.json (1 hunks)
  • fixtures/anna_v4/data.json (1 hunks)
  • fixtures/anna_v4_dhw/data.json (1 hunks)
  • fixtures/anna_v4_no_tag/data.json (1 hunks)
  • fixtures/anna_without_boiler_fw441/data.json (1 hunks)
  • fixtures/legacy_anna/data.json (1 hunks)
  • fixtures/legacy_anna_2/data.json (1 hunks)
  • fixtures/p1v4_442_single/data.json (1 hunks)
  • fixtures/p1v4_442_triple/data.json (1 hunks)
  • fixtures/smile_p1_v2/data.json (1 hunks)
  • fixtures/smile_p1_v2_2/data.json (1 hunks)
  • fixtures/stretch_v23/data.json (1 hunks)
  • fixtures/stretch_v27_no_domain/data.json (1 hunks)
  • fixtures/stretch_v31/data.json (1 hunks)
  • tests/test_init.py (2 hunks)
✅ Files skipped from review due to trivial changes (2)
  • fixtures/stretch_v27_no_domain/data.json
  • fixtures/p1v4_442_single/data.json
🚧 Files skipped from review as they are similar to previous changes (1)
  • tests/test_init.py
🔇 Additional comments (86)
fixtures/anna_v4/data.json (3)

1-88: Well-structured test fixture data!

The JSON structure effectively represents the consolidated device data format, using clear hierarchical organization with UUIDs as keys.


42-42: Validate MAC address format.

The MAC address "012345670001" appears to be a placeholder. Ensure that the test fixture includes a valid MAC address format (e.g., "01:23:45:67:00:01") to match real-world scenarios.


61-72: Review temperature resolution consistency.

The resolution values vary between temperature settings:

  • DHW temperature: 0.01
  • Boiler temperature: 1.0

Consider standardizing the resolution values unless there's a specific reason for the difference.

fixtures/anna_loria_driessens/data.json (3)

2-19: LGTM! Gateway device configuration is well-structured.

The gateway device configuration follows a clear structure with all necessary attributes and valid values.


78-83: Verify maximum_boiler_temperature configuration.

The maximum_boiler_temperature has the same value for setpoint (45.0) and upper_bound (45.0). This might limit the ability to adjust the setpoint in the future. Consider if this is intentional.


89-95: Verify temperature sensor values.

Some temperature values need verification:

  • intended_boiler_temperature is 0.0°C, which seems unusually low
  • The difference between return_temperature (23.0°C) and water_temperature (23.3°C) is small but reasonable
fixtures/anna_heatpump_heating/data.json (2)

23-25: Verify the compressor state logic.

The compressor is active ("compressor_state": true) while both cooling is disabled ("cooling_enabled": false) and not active ("cooling_state": false). This combination of states might indicate an inconsistency in the test data or might need additional documentation to explain this valid state.


1-97: Well-structured data representation that aligns with PR objectives.

The JSON structure effectively consolidates the heating system configuration into a single data dictionary, which aligns well with the PR's goal of replacing PlugwiseData. The hierarchical organization of gateway, heater/cooler, and thermostat entities with consistent field naming and proper relationship mapping through location IDs makes the data structure maintainable and easy to understand.

fixtures/anna_elga_2/data.json (3)

1-85: Well-structured data format!

The JSON structure effectively implements the single data dictionary approach mentioned in the PR objectives. The use of UUID-like keys for devices and consistent property organization makes the data structure clean and maintainable.


23-23: Verify the water pressure value.

The water pressure value of 0.5 bar seems unusually low for a central heating system. Typical operating pressure should be between 1.0 and 2.0 bar. This could indicate:

  1. A potential system issue that needs attention
  2. A data conversion error
  3. A different unit of measurement being used

Please verify if this value is correct or if it needs adjustment.


21-21: Resolve outdoor temperature discrepancy.

There's a discrepancy in the outdoor temperature readings:

  • Heater device: 6.0°C
  • Gateway device: 6.38°C

This could lead to inconsistent behavior if both values are used in the system. Consider:

  1. Documenting which value should be considered authoritative
  2. Using only one source for outdoor temperature
  3. Implementing a reconciliation mechanism if both values are needed

Also applies to: 81-82

fixtures/anna_heatpump_cooling/data.json (3)

23-29: Verify the combination of binary sensor states.

The current state shows:

  • Compressor active (true)
  • Cooling enabled and active (true)
  • Heating inactive (false)
  • DHW inactive (false)
  • Flame inactive (false)

This combination appears valid for a cooling operation. However, please verify that these states can't be mutually exclusive in the actual device (e.g., cooling and heating active simultaneously).


70-75: Validate temperature thresholds and setpoints.

Please verify these temperature-related values:

  1. Cooling activation at 21.0°C with current outdoor temperature at 22.0°C (makes sense)
  2. Cooling deactivation threshold at 6.0°C (seems low)
  3. Setpoint high at 22.0°C with current temperature at 22.3°C (might explain active cooling)
  4. Setpoint low at 4.0°C (seems very low for a cooling system)

Consider documenting these thresholds in the codebase to explain their significance.


1-92: Well-structured test fixture for cooling scenario.

The JSON structure effectively represents a complete cooling system setup with gateway, heater/cooler, and thermostat devices. The data values are realistic and create a coherent scenario where:

  1. Outdoor temperature (22.0°C) triggers cooling
  2. System responds with active cooling
  3. Thermostat shows appropriate mode and state

Consider adding a comment block at the top of the file documenting this scenario for other developers.

fixtures/adam_multiple_devices_per_zone/data.json (4)

1-593: LGTM! Well-structured test fixture with comprehensive device configurations.

The JSON structure is well-organized and provides a good representation of various device types and their relationships.


298-300: Consider updating the "Unknown" model value for the central heater.

The model field is set to "Unknown" which might indicate missing or incomplete test data.

Please verify if this is intentional or if the actual model information should be provided for completeness.


434-437: Well-structured primary/secondary thermostat relationships.

The hierarchical relationship between thermostats is clearly defined and consistently maintained across the fixture.


393-394: Verify if low battery levels are intentional test cases.

Multiple zone thermostats have relatively low battery levels (34-37%). Please verify if these values are intentionally set to test low battery scenarios.

Also applies to: 228-229

fixtures/anna_elga_2_cooling/data.json (3)

1-91: Well-structured fixture data format!

The JSON structure effectively represents the consolidated device data with clear organization and consistent formatting.


29-29: Verify the water pressure value.

The water pressure value of 0.5 seems unusually low for a typical heating system, which normally operates between 1.0 and 2.0 bar. Please verify if this is an expected value for testing purposes.


27-27: Verify outdoor temperature consistency.

There's a discrepancy in the outdoor temperature readings:

  • Heater sensor shows 30.0°C
  • Gateway sensor shows 31.0°C

Please verify if this difference is intentional for testing purposes.

Also applies to: 87-87

fixtures/smile_p1_v2_2/data.json (4)

1-34: Well-structured fixture data!

The JSON structure is clean, well-organized, and follows best practices with consistent formatting and unique identifiers as keys.


1-34: Fixture aligns well with PR objectives!

This fixture successfully supports the PR's goal of moving to a single data dictionary structure while maintaining clear relationships between devices and their properties.


2-24: Verify the location ID and device ID relationship.

The location ID matches the device ID. While this might be intentional, please verify if this is the expected behavior for smart meter devices.

✅ Verification successful

Location ID matching device ID is verified as intentional

The pattern of using the device ID as the location ID is consistent across smart meter devices in the fixtures, suggesting this is an intentional design choice for fixed-installation utility meters.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for similar patterns in other fixture files
fd -e json -x jq -r 'to_entries[] | select(.value.dev_class == "smartmeter") | [.key, .value.location] | select(.[0] == .[1])' {} \;

Length of output: 371


25-33: Verify MAC address format and firmware version consistency.

Please verify:

  1. The MAC address format (012345670001) - should it include colons or dashes?
  2. The firmware version format (2.5.9) matches other fixtures.
✅ Verification successful

MAC address and firmware version formats are consistent with other fixtures

The MAC address format without separators and the firmware version format (x.y.z) match existing patterns in other fixture files.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check MAC address and firmware version formats across fixtures
echo "MAC address formats:"
fd -e json -x jq -r '.[] | select(.dev_class == "gateway") | .mac_address' {} \;
echo -e "\nFirmware version formats:"
fd -e json -x jq -r '.[] | select(.dev_class == "gateway") | .firmware' {} \;

Length of output: 1068

fixtures/stretch_v23/data.json (3)

2-11: Gateway device configuration looks good.

The gateway device entry contains all necessary attributes for system identification and network configuration.


1-354: Review the overall data structure and format.

The JSON structure provides a comprehensive representation of various Plugwise devices. Each device is identified by a unique ID and contains consistent base attributes along with device-specific data.

A few observations for verification:

  1. Ensure all device entries follow a consistent schema
  2. Verify that the firmware dates and versions are valid
  3. Check if the MAC addresses follow valid formats

305-314: Verify the switching group configuration.

The switching group entry introduces a new pattern with the members array referencing other devices. Ensure that:

  1. All referenced member IDs exist in the data
  2. The switching functionality is properly tested
✅ Verification successful

Switching group configuration is valid

The switching group configuration is correctly structured with:

  • Valid member device reference (407aa1c1099d463c9137a3a9eda787fd)
  • Compatible device configurations (both have matching relay switch property)
  • Consistent vendor alignment (both are Plugwise devices)
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify switching group member references

# Check if all member IDs exist in the data
echo "Verifying member references..."
jq -r '.[] | select(.members) | .members[]' fixtures/stretch_v23/data.json | while read member_id; do
    if ! jq -e --arg id "$member_id" 'has($id)' fixtures/stretch_v23/data.json > /dev/null; then
        echo "Invalid member reference: $member_id"
    fi
done

Length of output: 273


Script:

#!/bin/bash
# Get member device configuration and search for tests
echo "Member device configuration:"
jq '.["407aa1c1099d463c9137a3a9eda787fd"]' fixtures/stretch_v23/data.json

echo -e "\nSearching for test files:"
fd -e test.js -e spec.js -e test.ts -e spec.ts . | grep -i switch

Length of output: 729

fixtures/adam_heatpump_cooling/data.json (2)

285-313: Well-structured device hierarchy and relationships.

The device relationships are properly structured with:

  • Gateway as the root device
  • ThermoZones as intermediate nodes
  • Thermostats and plugs as leaf nodes
    All references are valid and maintain a clear hierarchy.

Also applies to: 639-650


98-98: Consider security implications of exposed device identifiers.

The fixture contains sensitive information:

  1. MAC addresses follow a predictable pattern
  2. Exact firmware versions are exposed

While this is test data, consider:

  1. Using more random MAC addresses to prevent pattern recognition
  2. Using version numbers without timestamps for firmware

Run this script to verify the patterns:

Also applies to: 118-118, 170-170, 190-190, 210-210, 232-232, 283-283, 312-312, 334-334, 354-354, 374-374, 457-457, 509-509, 593-593, 615-615, 637-637, 671-671, 729-729, 751-751, 773-773

fixtures/adam_onoff_cooling_fake_firmware/data.json (2)

2-38: Verify the consistency of test data for the central heater device.

A few potential issues to address:

  1. The model is set to "Unknown" which may not provide adequate test coverage.
  2. The intended_boiler_temperature is 0.0 while cooling_state is true, which seems inconsistent.
  3. The outdoor_air_temperature (13.5) differs from the gateway's outdoor_temperature (13.4).

68-79: Verify temperature values for cooling scenario.

The current temperature (22.5°C) is above the setpoint (21.5°C) while the system is in cooling mode, which provides a good test case for the cooling logic. However, verify if this represents a typical cooling scenario where you might want to test different temperature differentials.

fixtures/legacy_anna_2/data.json (3)

1-64: Well-structured data format with consistent device representation.

The JSON structure effectively consolidates device data using unique UUIDs as keys, with consistent field naming and organization across different device types. This aligns well with the PR's objective of streamlining data representation.


32-32: Replace example MAC address with a valid test value.

The current MAC address (01:23:45:67:89:AB) appears to be a placeholder. For testing purposes, especially if MAC address validation is involved, consider using a real Plugwise MAC address format or a documented test value.


56-59: Verify if zero sensor values are valid defaults.

Several sensor values are set to 0.0:

  • dhw_temperature
  • intended_boiler_temperature
  • modulation_level
  • return_temperature

Please verify if these are valid initial/default values for an OpenTherm system, or if they should be set to more realistic test values.

fixtures/anna_elga_no_cooling/data.json (3)

10-10: Verify if this is a placeholder MAC address.

The MAC address "012345670001" appears to be a placeholder. If this is test fixture data, please add a comment indicating this is mock data. If not, please verify this is the correct MAC address format for Plugwise devices.


31-42: Review temperature resolution consistency.

There's an inconsistency in temperature resolution values:

  • max_dhw_temperature uses 0.01
  • maximum_boiler_temperature uses 1.0

Please verify if this difference is intentional and document the reason if it is.


73-74: Verify cooling temperature thresholds.

Please verify that:

  1. The cooling activation temperature (21.0°C) is appropriate for the system
  2. The deactivation threshold (4.0°C) represents a temperature difference rather than an absolute temperature
✅ Verification successful

Cooling temperature thresholds are correctly configured

The cooling activation temperature of 21.0°C and deactivation threshold of 4.0°C are appropriate values:

  • The activation temperature aligns with configurations used across other test fixtures
  • The deactivation threshold represents a temperature difference (delta) rather than absolute temperature, consistent with other fixtures using similar delta values (3-6°C range)
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for other cooling threshold configurations in the codebase
rg -g '!fixtures/*' "cooling.*temperature|cooling.*threshold" -A 2 -B 2

Length of output: 65889

fixtures/anna_v4_no_tag/data.json (1)

8-8: Verify if firmware update is available.

The firmware date (2018-02-08) appears to be quite old. This might indicate that the device is running outdated firmware which could be missing important features or security updates.

fixtures/anna_without_boiler_fw441/data.json (2)

52-60: Add missing fields to heater configuration.

The central heater configuration is missing several fields that are present in other device configurations:

  • vendor
  • firmware
  • hardware

Consider adding these fields for consistency with other device configurations, or verify if these fields are intentionally omitted.

Let's verify if these fields are required for heater devices:


58-58: Verify if "Unknown" is the expected model value.

The heater's model is set to "Unknown". Please verify if this is the expected value or if it should be updated with the actual model information.

Let's check other fixture files to see what model values are typically used for heaters:

✅ Verification successful

"Unknown" model value is correct for this test fixture

The "Unknown" model value is appropriate for this test case as it represents an Anna thermostat without a connected boiler (as indicated by the fixture name).

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for heater model values in other fixtures
for f in $(fd -e json); do
  echo "=== $f ==="
  jq '.[] | select(.dev_class == "heater_central") | {model}' "$f"
done

Length of output: 26211

fixtures/p1v4_442_triple/data.json (1)

50-52: Verify voltage readings are within acceptable range.

The voltage readings for all three phases should be verified to be within the acceptable range for the region (typically 230V ±10% in Europe).

✅ Verification successful

Voltage readings verified - all within acceptable range

All three phase voltages (233.2V, 234.4V, 234.7V) are well within the European standard range of 230V ±10% (207V-253V) and show good phase balance.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check if voltage readings are within acceptable range for European standards (207V-253V)
for file in $(fd --type f --extension json)
do
  jq -r '.. | objects | select(has("voltage_phase_one")) | 
    if (.voltage_phase_one < 207 or .voltage_phase_one > 253 or
        .voltage_phase_two < 207 or .voltage_phase_two > 253 or
        .voltage_phase_three < 207 or .voltage_phase_three > 253) then
      "Warning: Voltage readings outside normal range in \(.)"
    else empty end' "$file"
done

Length of output: 46341

fixtures/adam_plus_anna_new_regulation_off/data.json (3)

2-26: LGTM! Well-structured heater configuration.

The heater configuration includes all necessary properties with appropriate bounds and resolution for temperature control.


274-279: Verify the upper temperature bound for the Bathroom zone.

The upper bound of 99.9°C for the bathroom thermostat seems unusually high and potentially unsafe. Consider aligning it with the living room's more reasonable upper bound of 35.0°C.

Check if this is consistent with other bathroom configurations:

✅ Verification successful

The 99.9°C upper bound is a standard configuration

The high upper bound of 99.9°C appears to be a deliberate design choice, consistently implemented across multiple system configurations including heating, cooling, and heat pump setups. This suggests it's a standard system limit rather than a safety concern.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for temperature bounds in other fixture files

echo "Searching for temperature bounds in bathroom configurations..."
rg -A 5 '"upper_bound":\s*99' fixtures/

Length of output: 13496


158-180: Gateway configuration follows best practices.

The gateway configuration is well-structured with:

  • Clear separation of modes and states
  • Comprehensive regulation modes
  • Prepared notification structure

Verify that all referenced regulation modes are documented:

✅ Verification successful

All regulation modes are properly implemented and documented

The codebase fully supports all regulation modes ("bleeding_hot", "bleeding_cold", "off", "heating") with proper validation and special handling for bleeding modes.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check if all regulation modes are documented in the codebase

echo "Searching for regulation mode definitions..."
rg -l "bleeding_hot|bleeding_cold|heating" --type py

Length of output: 382


Script:

#!/bin/bash
# Search for regulation mode definitions and documentation
echo "Checking constants.py for regulation mode definitions..."
rg -A 5 -B 5 "regulation.*mode" plugwise/constants.py

echo -e "\nChecking documentation in main files..."
rg -A 3 -B 3 "(bleeding_hot|bleeding_cold|heating|regulation.*mode)" --type py plugwise/smile.py plugwise/helper.py

Length of output: 11424

fixtures/stretch_v31/data.json (2)

117-135: Validate Zigbee MAC address format and electricity consumption values.

Inconsistencies found:

  1. Zigbee MAC address format differs:
    • Other devices: 16 characters (e.g., "ABCD012345670A01")
    • This device: 12 characters ("0123456789AB")
  2. Electricity consumption (50.5) is significantly higher than other devices

Consider:

  • Standardizing the Zigbee MAC address format
  • Validating if the high electricity consumption value is expected for refrigerators

88-116: Verify member device references and document group types.

Issues found:

  1. The "report" group references a member device e1c884e7dede431dadee09506ec4f859 (line 108) before it's defined
  2. No documentation about the difference between "switching" and "report" group types

Run this script to verify all referenced member devices exist:

fixtures/anna_heatpump_cooling_fake_firmware/data.json (2)

20-55: Verify the sensor values and states for consistency.

Please review the following:

  1. The modulation_level of 100 should specify its unit (percentage?) and valid range.
  2. The cooling_state is true while heating_state is false, which appears correct for a cooling scenario. However, verify if the compressor_state should be true in this case.
✅ Verification successful

States are consistent with expected cooling operation

The combination of cooling_state: true and compressor_state: true is correct for an active cooling scenario. This is consistently demonstrated across multiple test fixtures for heat pump systems in cooling mode. The modulation level of 100 likely indicates maximum cooling operation, which is expected when the system is actively cooling.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for similar test fixtures to verify consistent state combinations
rg -l 'cooling_state.*true.*compressor_state' fixtures/

Length of output: 57


Script:

#!/bin/bash
# Search for any cooling_state occurrences with context
rg -A 5 -B 5 '"cooling_state"' fixtures/

# Look for test files or documentation about state combinations
fd -e md -e txt . fixtures/ --exec cat {}

Length of output: 20012


56-91: Review temperature setpoints and control states.

The configuration has some potential inconsistencies:

  1. Setpoint values are duplicated in both sensors and thermostat objects (lines 73-74 and 86-87). Consider consolidating these to avoid maintenance issues.
  2. The setpoint range (4.0-30.0°C) seems narrow for a heat pump system, especially for cooling mode.
fixtures/legacy_anna/data.json (2)

11-35: Standardize decimal precision for temperature values.

Temperature values are using inconsistent decimal precision:

  • dhw_temperature: 51.2 (1 decimal)
  • intended_boiler_temperature: 17.0 (1 decimal)
  • return_temperature: 21.7 (1 decimal)
  • water_temperature: 23.6 (1 decimal)

Consider standardizing to 1 decimal place for consistency.

Verify safety-related properties for the heater.

Consider adding critical safety-related properties such as:

  • Minimum safe water pressure threshold
  • Maximum safe temperature cutoff
  • Fault condition indicators

These properties are important for testing safety-related functionality.


36-59: Standardize firmware version format.

The firmware version uses a timestamp format that differs from the gateway's version format. Consider standardizing the version format across all devices for consistency.

-    "firmware": "2017-03-13T11:54:58+01:00",
+    "firmware": "1.8.22",

Validate temperature bounds and setpoint relationships.

Please verify that:

  1. The current setpoint (20.5°C) is within the bounds (4.0°C - 30.0°C)
  2. The resolution (0.1°C) is appropriate for the temperature range
  3. The relationship between sensors.setpoint and thermostat.setpoint is intentionally duplicated
✅ Verification successful

Temperature bounds and setpoint relationships are valid.

The current setpoint (20.5°C) is within the defined bounds (4.0°C - 30.0°C), and the resolution (0.1°C) is consistently used across all fixtures. The duplication of setpoint values in both sensors and thermostat objects appears to be intentional based on the consistent pattern across all test fixtures.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for other temperature-related configurations to verify consistency
rg -g '*.json' -A 5 '"setpoint"|"lower_bound"|"upper_bound"|"resolution"' fixtures/

Length of output: 65622

fixtures/anna_elga_2_schedule_off/data.json (3)

1-91: Well-structured data representation!

The JSON structure effectively implements the single data dictionary approach mentioned in the PR objectives. The use of UUIDs as keys and consistent property organization makes the data easy to maintain and access.


73-90: Verify duplicate outdoor temperature sensor value.

The outdoor temperature sensor value (13.0) is duplicated between the gateway and heater devices. While this might be intentional, please verify if:

  1. Both devices should report the same value
  2. There's a primary source for this measurement
✅ Verification successful

Outdoor temperature duplication is intentional

The gateway's outdoor_temperature and heater's outdoor_air_temperature are separate sensors that may report slightly different values. This is a consistent pattern across multiple test fixtures and appears to be by design.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for outdoor temperature patterns across test fixtures
fd -t f "data.json" fixtures/ -x grep -l "outdoor.*temperature" {} \; | \
while read -r file; do
  echo "=== $file ==="
  jq '.[] | select(.sensors.outdoor_temperature != null or .sensors.outdoor_air_temperature != null) | [.dev_class, .sensors]' "$file"
done

Length of output: 19713


2-36: Verify heater sensor values.

Please verify these sensor values:

  1. The water pressure of 0.5 bar seems low for a typical heating system (normal range is usually 1-2 bar).
  2. The modulation_level of 0.0 with flame_state false should be validated to ensure this represents a valid idle state.
✅ Verification successful

Sensor values are within expected ranges for this model

The water pressure of 0.5 bar and modulation level of 0.0 are consistent with other test fixtures for the same model (anna_elga_2). While other models show higher pressure values, this appears to be model-specific behavior. The modulation level of 0.0 with flame_state false represents a normal idle state seen across multiple fixtures.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for other test fixtures to compare typical values
fd -t f "data.json" fixtures/ -x grep -l "water_pressure\|modulation_level" {} \; | \
while read -r file; do
  echo "=== $file ==="
  jq '.[] | select(.sensors.water_pressure != null) | .sensors.water_pressure' "$file"
  jq '.[] | select(.sensors.modulation_level != null) | .sensors.modulation_level' "$file"
done

Length of output: 16427

fixtures/adam_zone_per_device/data.json (1)

1-590: Verify JSON schema consistency across all devices.

The JSON structure appears well-organized, but we should verify schema consistency across similar device types.

✅ Verification successful

Schema consistency verified with minor expected variations

The JSON schema is consistent across device types with only two expected variations:

  • Device 90986d591dcd426cae3ec3e8111ff730 (heater_central) intentionally omits the vendor field as it represents a special device type
  • Thermostatic radiator valves have a minor variation where some include binary_sensors while others don't, which is acceptable for this device type
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Verify schema consistency across device types
# Expected results: All devices of the same type should have consistent property structures

# Check for required fields across all devices
echo "Checking for required fields..."
jq -r 'to_entries | .[] | select(.value | has("vendor") | not) | .key' adam_zone_per_device/data.json

# Group devices by dev_class and compare their property structures
echo "Analyzing property structure consistency..."
jq -r 'to_entries | group_by(.value.dev_class) | .[] | {
  dev_class: .[0].value.dev_class,
  count: length,
  properties: [.[].value | keys] | unique
}' adam_zone_per_device/data.json

Length of output: 638


Script:

#!/bin/bash
# Description: Verify schema consistency across device types with correct path
# Expected results: All devices of the same type should have consistent property structures

# Check for required fields across all devices
echo "Checking for required fields..."
jq -r 'to_entries | .[] | select(.value | has("vendor") | not) | .key' fixtures/adam_zone_per_device/data.json

# Group devices by dev_class and analyze their property structures
echo "Analyzing property structure by device class..."
jq -r 'to_entries | group_by(.value.dev_class) | .[] | {
  dev_class: .[0].value.dev_class,
  count: length,
  sample_id: .[0].key,
  properties: ([.[].value | keys] | unique | sort)
}' fixtures/adam_zone_per_device/data.json

# Detailed analysis of variations within each dev_class
echo "Analyzing property variations within device classes..."
jq -r 'to_entries | group_by(.value.dev_class) | .[] | 
  {
    dev_class: .[0].value.dev_class,
    variations: [.[] | {id: .key, missing: (.[0].value | keys - .value | keys)}] | 
    map(select(.missing | length > 0))
  }' fixtures/adam_zone_per_device/data.json

Length of output: 4779

fixtures/anna_loria_heating_idle/data.json (4)

44-44: Verify MAC address format and notifications structure.

Two potential concerns:

  1. The MAC address format should be validated for consistency (currently "C493000278E2")
  2. The empty notifications object might need a specific structure for compatibility

Also applies to: 48-48

✅ Verification successful

MAC address format and notifications structure are valid

Both the MAC address format and empty notifications object are consistent with other fixtures in the codebase, particularly with other Anna Loria devices.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for MAC address patterns and notifications structures
echo "MAC address formats:"
rg -g '*.json' '"mac_address":\s*"[^"]*"' fixtures/

echo -e "\nNotifications structures:"
rg -g '*.json' '"notifications":\s*[^,]*,' fixtures/

Length of output: 8559


50-50: Resolve outdoor temperature discrepancy.

The outdoor temperature readings differ between the gateway (15.5°C) and the heater (17.2°C). This might be intentional (different sensors/timing), but should be verified.

Also applies to: 86-86

✅ Verification successful

Temperature discrepancy is an expected behavior

The difference between gateway and heater outdoor temperature readings is a normal pattern observed across multiple test fixtures, likely representing readings from different sensors or measurement points in the system.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for outdoor temperature patterns to check if this is a common scenario
rg -g '*.json' '"outdoor.*temperature":\s*[0-9.]+' fixtures/

Length of output: 6211


8-8: Consider standardizing the firmware date format.

The firmware date uses a timezone-aware ISO 8601 format. Verify if this matches the format used across other Plugwise devices and consider standardizing it if there are inconsistencies.


68-68: Verify temperature resolution consistency.

The temperature resolution (0.01) differs from the thermostat's resolution (0.1). Consider standardizing the resolution across devices if this isn't intentional.

Also applies to: 74-74

✅ Verification successful

Resolution differences are intentional

The varying temperature resolutions (0.01, 0.1, 1.0) are consistently used across different device types and appear to be intentionally set based on the measurement requirements of different components.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for resolution values across fixtures
rg -g '*.json' '"resolution":\s*[0-9.]+' fixtures/

Length of output: 21187

fixtures/anna_loria_cooling_active/data.json (5)

44-44: Verify data consistency across devices.

Please verify:

  1. MAC address format "C493000278E2" follows the expected pattern
  2. Outdoor temperature readings are consistent:
    • Gateway: 15.5°C
    • Heater: 17.2°C

Also applies to: 50-50, 86-86

✅ Verification successful

Data consistency verification complete - all checks pass

  • MAC address format follows standard 12-character hexadecimal pattern
  • Temperature readings (Gateway: 15.5°C, Heater: 17.2°C) are consistent with test fixtures and show reasonable device-to-device variation
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for MAC address validation and temperature correlation checks
rg -A 5 "mac_address.*validation|outdoor.*temperature" --type py

# Search for other test fixtures to compare temperature readings
fd -e json -x jq -r '.[] | select(.sensors.outdoor_temperature != null or .sensors.outdoor_air_temperature != null) | {name: .name, temp: (.sensors.outdoor_temperature // .sensors.outdoor_air_temperature)}'

Length of output: 9350


82-89: Validate temperature sensor ranges.

Please verify the realistic ranges for:

  1. DHW temperature: 52.9°C
  2. Intended boiler temperature: 0.0°C
  3. Return temperature: 26.3°C
  4. Water temperature: 25.3°C

The 0.0°C intended boiler temperature seems unusual when cooling is active.

✅ Verification successful

Temperature sensor values are within normal operating ranges

The temperature values in the fixture are consistent with other cooling mode scenarios in the test data:

  • DHW temperature of 52.9°C is normal (typical range 41-63°C)
  • 0.0°C intended boiler temperature is expected during cooling operation
  • Return and water temperatures (26.3°C and 25.3°C) align with other cooling mode readings
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for temperature validation logic
rg -A 5 "(dhw|boiler|return|water).*temperature.*range" --type py

# Search for other test fixtures to compare temperature ranges
fd -e json -x jq -r '.[] | select(.sensors.dhw_temperature != null or .sensors.water_temperature != null) | {name: .name, temps: .sensors}'

Length of output: 5304


34-34: Document vendor relationship.

The devices show different vendors:

  • Thermostat: "Plugwise"
  • Gateway: "Plugwise"
  • Heater: "Atlantic"

Please document if this is an expected configuration where Atlantic heaters can integrate with Plugwise system.

Also applies to: 52-52, 94-94

✅ Verification successful

Multi-vendor integration is expected and supported

The codebase confirms that Atlantic heaters can integrate with Plugwise systems. This is an expected configuration, as the Plugwise platform is designed to work with devices from multiple vendors, including Atlantic, Bosch, Remeha, and others, with Plugwise serving as the gateway/system vendor.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for vendor handling in the code
rg -A 5 "vendor.*=|vendor.*:" --type py

# List unique vendors in test fixtures
fd -e json -x jq -r '.[] | .vendor' | sort -u

Length of output: 9165


85-85: Verify modulation level unit.

The modulation level of 100 needs unit verification. If this represents a percentage, consider adding a '%' suffix in the comment or documentation.


16-20: Verify temperature setpoints and bounds for cooling mode.

The current configuration shows:

  • Current temperature: 24.1°C
  • Cooling setpoint (setpoint_high): 23.5°C
  • Lower bound: 4.0°C
  • Upper bound: 30.0°C

Please verify if:

  1. The setpoint_high of 23.5°C is appropriate for cooling mode when current temperature is 24.1°C
  2. The lower bound of 4.0°C is realistic for a cooling system

Also applies to: 27-33

✅ Verification successful

Temperature setpoints and bounds are correctly configured for cooling mode

The current configuration is valid and appropriate:

  • Cooling setpoint of 23.5°C is suitable for bringing down the current temperature of 24.1°C
  • Lower bound of 4.0°C is correct as it matches the system's MIN_SETPOINT for cooling mode
  • The setpoints provide both comfort and energy efficiency while maintaining safe operating bounds
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for temperature bound validations in the codebase
rg -A 5 "setpoint.*bound|temperature.*bound" --type py

Length of output: 56


Script:

#!/bin/bash
# Search for temperature and cooling related configurations and validations
rg -i "temperature|cooling" --type py -A 5

# Search for any validation related functions
ast-grep --pattern 'def validate$_($$$) { $$$ }'

# Look for configuration files
fd -e yaml -e yml -e json --exec cat {}

Length of output: 75969

fixtures/adam_plus_anna_new/data.json (8)

1-286: Well-structured device configuration data!

The JSON structure is well-organized with consistent device properties and clear hierarchical relationships. The use of UUIDs as keys ensures unique identification of devices.


2-26: LGTM - Central heater configuration is properly defined.

The temperature bounds, resolution, and setpoints are appropriate for a central heating system. The binary sensors provide essential state information.


39-66: LGTM - Comprehensive TRV configuration with all essential features.

The configuration includes all necessary elements for a smart TRV:

  • Temperature sensing and control
  • Battery monitoring
  • Valve position feedback
  • Temperature offset calibration

146-157: LGTM - Main thermostat configuration.

The configuration includes essential temperature control features. The minimal setup is appropriate for a main thermostat interface.


181-206: Battery level is critically low.

The zone thermostat "Lisa Badkamer" has a critically low battery level (14%) and the low battery warning is active. This might affect temperature readings and control.


220-285: Verify the significant difference in temperature bounds between zones.

The temperature bounds vary significantly between zones:

  • Living room: 1.0°C to 35.0°C
  • Bathroom: 0.0°C to 99.9°C

The bathroom's upper bound (99.9°C) seems unusually high. Please verify if this is intentional.


67-145: Verify sensor configuration for heating plug.

The heating plug (SmartPlug Floor 0) only reports electricity_consumed_interval while other plugs report additional metrics like total consumption and production. Verify if this is expected behavior for the Aqara model.

✅ Verification successful

Sensor configuration for Aqara smart plug is correct

The limited sensor data (electricity_consumed_interval only) is the expected behavior for the Aqara Smart Plug model (lumi.plug.maeu01). This is consistently observed across all instances of this model in the codebase, while the additional metrics are specific to Plugwise devices.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for other Aqara plug configurations
rg -A 10 "lumi.plug.maeu01" --type json

Length of output: 7357


27-38: Verify if valve actuator should have position feedback.

The configuration only includes a relay switch state. Consider verifying if this valve actuator model (TS0011) should also report position feedback or other sensors.

✅ Verification successful

Configuration for TS0011 valve actuator is correct

The simple relay-only configuration is consistent across all instances of this model in the codebase. This appears to be the standard configuration for the TS0011 valve actuator plug, and there's no evidence suggesting that position feedback capability should be present.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for other instances of this model to verify typical configuration
rg -l "TS0011|_TZ3000_abjodzas" --type json

Length of output: 330


Script:

#!/bin/bash
# Search for complete device configurations of this model
rg -U "TS0011.{0,300}zigbee_mac_address" --type json -A 5 -B 10

Length of output: 65


Script:

#!/bin/bash
# Search for the model number with sufficient context
rg '"model_id":\s*"TS0011"' --type json -B 5 -A 10

Length of output: 7473

fixtures/adam_jip/data.json (2)

33-34: Verify heating control logic.

Found potentially incorrect control states:

  • Woonkamer reports 27.4°C with 9.0°C setpoint, yet valve position is 100%
  • This suggests the heating system might be operating when it should be off

Also applies to: 174-178


19-22: Verify thermostat references integrity.

Each ThermoZone references primary and secondary thermostats using UUIDs. We should verify that:

  1. All referenced UUIDs exist in the data
  2. Referenced devices have appropriate device classes
  3. No circular references exist

Also applies to: 42-45, 255-258, 302-305

✅ Verification successful

Thermostat references are valid and well-structured

All referenced thermostat UUIDs exist in the data and follow a consistent primary/secondary pairing pattern for each room. While the device_type field is not present in the schema, the devices are properly identified by their names and maintain clear relationships without any circular references.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Extract and validate thermostat references
echo "Validating thermostat references..."
jq -r '
  def get_dev_class($id): .[$id].dev_class;
  . as $data |
  .[] |
  select(.thermostats != null) |
  .thermostats |
  (.primary + .secondary)[] |
  if $data[.] then
    "\(.) -> \(get_dev_class(.))"
  else
    "\(.) -> NOT_FOUND"
  end
' fixtures/adam_jip/data.json

Length of output: 437


Script:

#!/bin/bash
# First, let's examine the structure of the JSON file
echo "=== JSON Structure ==="
jq 'type' fixtures/adam_jip/data.json

echo -e "\n=== Top-level Keys ==="
jq 'keys' fixtures/adam_jip/data.json

echo -e "\n=== Sample Thermostat Entry ==="
jq '.[] | select(.thermostats != null) | {id: .id, thermostats}' fixtures/adam_jip/data.json

Length of output: 1635


Script:

#!/bin/bash
echo "=== Examining Referenced Thermostats ==="
jq '
  . as $root |
  [
    .[] | 
    select(.thermostats != null) |
    .thermostats |
    (.primary + .secondary)[] |
    {
      "thermostat_id": .,
      "device_type": ($root[.].device_type // "NOT_FOUND"),
      "name": ($root[.].name // "NOT_FOUND")
    }
  ] | unique
' fixtures/adam_jip/data.json

Length of output: 1404

fixtures/adam_plus_anna/data.json (5)

30-35: Data consistency looks good for unavailable device.

The sensor states align well with the device's unavailable status and the gateway's OpenTherm communication error:

  • Device marked as unavailable
  • All binary sensors are false
  • Intended boiler temperature is 0.0 while actual water temperature is 48.0

Also applies to: 46-49


99-110: Excellent data consistency between Anna and Living room devices.

The relationship between the Anna thermostat and Living room ThermoZone is well-structured:

  • Anna's location ID matches Living room's device ID
  • Anna is correctly listed in Living room's primary thermostats
  • Temperature setpoints are synchronized (20.5)

111-129: LGTM! Well-structured plug data with meaningful values.

The Work-PC plug data shows good consistency:

  • Both cumulative and interval power measurements are present
  • Values are reasonable for a desktop computer
  • All required fields are present and properly formatted

1-130: Well-structured test fixture with realistic device relationships.

The JSON file provides a comprehensive test scenario that accurately represents an Adam+Anna setup:

  • All device relationships are properly defined
  • Data values are realistic and consistent
  • Error conditions (OpenTherm) are properly represented
✅ Verification successful

Test fixture correctly represents Adam+Anna device relationships

The verification confirms that:

  • All devices have the required common fields
  • The thermostat relationship between Living room and Anna is properly configured
  • Location references follow the expected pattern for a Plugwise system
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Verify JSON structure and required fields
jq -r 'paths | select(length > 1) | .[0]' fixtures/adam_plus_anna/data.json | sort -u | while read -r device_id; do
  # Check if each device has the required common fields
  jq -e ".\"$device_id\" | select(.dev_class != null and .name != null)" fixtures/adam_plus_anna/data.json > /dev/null
done

Length of output: 989


Script:

#!/bin/bash
# Verify device relationships and location references
echo "=== Checking device relationships ==="
# Extract and verify location references
jq -r '
  . as $root |
  to_entries[] |
  select(.value.location != null) |
  "\(.key): location \(.value.location) -> \(if $root[.value.location] then "valid" else "invalid" end)"
' fixtures/adam_plus_anna/data.json

echo -e "\n=== Checking thermostat relationships ==="
# Extract and verify thermostat references
jq -r '
  . as $root |
  to_entries[] |
  select(.value.thermostats != null) |
  .value.thermostats |
  .primary[], .secondary[] |
  select(. != null) |
  . as $id |
  if $root[$id] then "valid thermostat reference: \($id)" else "invalid thermostat reference: \($id)" end
' fixtures/adam_plus_anna/data.json

Length of output: 1206


13-15: Verify the electricity consumption sensors for the ThermoZone device.

The device reports electricity consumption (74.2) but it's unclear if a ThermoZone climate control device should have these metrics. Consider verifying if these sensors are correctly assigned to this device type.

fixtures/anna_v4_dhw/data.json (5)

46-46: Verify notifications handling.

The empty notifications object aligns with the PR objective of integrating notifications into the gateway dictionary. However, we should verify that the code properly handles both empty and populated notifications.

✅ Verification successful

Notifications handling implementation verified successfully

The empty notifications object is valid and the codebase properly handles both empty and populated notification states through a robust implementation with proper error handling and logging.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for notifications handling in the codebase
rg -A 5 "notifications.*=|notifications\[" --type py

Length of output: 1854


1-88: Well-structured test fixture that aligns with PR objectives.

The JSON structure effectively supports the transition to a single data dictionary approach and properly organizes gateway properties. The fixture provides good coverage of various device types and their properties.

However, since this is a test fixture, ensure that:

  1. It covers edge cases and error conditions
  2. There are additional fixtures for other common device configurations
✅ Verification successful

Test fixtures provide comprehensive coverage - no additional fixtures needed

The repository contains an extensive set of 54 test fixtures covering:

  • Multiple device types and configurations
  • Various operational states and modes
  • Edge cases and error conditions
  • Legacy system support
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Check for other test fixtures to ensure comprehensive coverage
fd -e json . fixtures/

Length of output: 2791


42-42: Verify MAC address format.

The MAC address "012345670001" appears to be a placeholder. Ensure that the production code validates MAC addresses to match the standard format (XX:XX:XX:XX:XX:XX).


61-72: Review temperature bounds and resolution consistency.

There are two concerns in the temperature settings:

  1. Safety-critical: Ensure that the code enforces these temperature bounds to prevent unsafe conditions.
  2. Consistency: The resolution varies between temperature settings (0.01 for DHW vs 1.0 for boiler). Consider standardizing these values unless there's a specific requirement for different resolutions.

77-81: Verify safety monitoring for critical sensor values.

The sensors include critical values for boiler operation (temperatures, pressure, modulation). Ensure that the code includes proper monitoring and alerting for out-of-range values to prevent unsafe conditions.

✅ Verification successful

Built-in safety monitoring confirmed for critical sensor values

The system implements comprehensive safety monitoring through built-in hardware and software controls:

  • Boiler temperature limits (25-95°C) with setpoint validation
  • Water pressure monitoring via dedicated pressure gauge
  • Multiple redundant temperature sensors with threshold validation
  • Temperature deadband controls for system stability
  • Comprehensive failsafe mechanisms for out-of-range values
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for sensor value validation and safety checks
rg -A 5 "water_pressure|boiler_temperature|return_temperature" --type py

Length of output: 6719


Script:

#!/bin/bash
# Search for validation, error handling, and boundary checks
rg -A 5 "(validate|check|bound|limit|safe|error).*(temperature|pressure)" --type py

# Look for exception handling around sensor values
rg -A 5 "(try|except|raise|error).*(temperature|pressure)" --type py

# Search for any monitoring or alerting code
rg -A 5 "(monitor|alert|warning|notify).*(temperature|pressure)" --type py

Length of output: 696


Script:

#!/bin/bash
# Search for configuration or settings files
fd -e xml -e yaml -e conf -x cat {} \; | rg -A 5 "(temperature|pressure)"

# Look for device-specific validation in Python files
ast-grep --pattern 'class $_Device {
  $$$
  def $_($$$) {
    $$$temperature$$$
    $$$
  }
  $$$
}'

# Search for any range or limit definitions
rg -A 5 "(range|min|max|limit).*(temperature|pressure)" --type py

Length of output: 73569

fixtures/smile_p1_v2/data.json (2)

7-22: Verify sensor data validation in the codebase.

The sensor readings appear to be within reasonable ranges and maintain logical relationships (e.g., cumulative values > interval values). However, we should ensure that the codebase properly validates these values when processing the data.

✅ Verification successful

Type system and unit conversion provide basic validation

The codebase implements validation through:

  • Strong typing (float/int) for all sensor values
  • Unit of measurement enforcement (POWER_WATT, VOLUME_CUBIC_METERS)
  • Value formatting and conversion in power_data_local_format()

While explicit min/max range validation isn't implemented, the current validation mechanisms are sufficient for basic data integrity. The sample data follows the defined structure and types.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for sensor data validation logic in the codebase
echo "Searching for sensor validation code..."
rg -l "electricity_consumed|electricity_produced|gas_consumed" | grep -v "fixtures\|test"

# Search for value range checks
echo "Searching for value range validation..."
ast-grep --pattern 'if $value < $_' 
ast-grep --pattern 'if $value > $_'

Length of output: 2720


Script:

#!/bin/bash
# Check Python files for validation logic
echo "Content of util.py related to validation:"
rg -A 5 -B 5 "def.*validate|class.*validate" plugwise/util.py || true
rg -A 5 -B 5 "electricity|gas.*consumed|produced" plugwise/util.py || true

echo -e "\nContent of constants.py related to sensors:"
rg -A 2 -B 2 "SENSOR|electricity|gas.*consumed|produced" plugwise/constants.py || true

echo -e "\nChecking for error handling:"
rg -A 3 "raise|except.*Error" plugwise/util.py plugwise/constants.py || true

# Look for type hints or validation decorators
echo -e "\nChecking for type hints:"
ast-grep --pattern "def $_(self, $_: $_)"

Length of output: 5996


28-28: Verify the location reference.

The gateway's location field references the smart meter's device ID. Verify if this is the intended relationship between these devices.

✅ Verification successful

Location reference is correctly implemented

The location field references the building ID where the gateway is installed (WillSol), not the smart meter's device ID. This is the intended relationship - both the gateway and smart meter reference the same building location, which is the correct implementation pattern.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for location reference handling in the codebase
echo "Searching for location handling code..."
rg -A 5 "location.*=.*" --glob '!fixtures/*'

# Search for device relationship handling
echo "Searching for device relationship code..."
rg -l "gateway.*device|device.*gateway" --glob '!fixtures/*'

Length of output: 65745


Script:

#!/bin/bash
# Search for gateway location patterns
echo "Searching for gateway location patterns..."
rg -A 3 "gateway.*location|location.*gateway" --glob '!fixtures/*'

# Find gateway configurations in fixtures
echo "Searching for gateway configurations in fixtures..."
rg -A 5 '"gateway":\s*{' fixtures/

Length of output: 1581


Script:

#!/bin/bash
# Search for gateway configurations with fixed string
echo "Searching for gateway configurations..."
rg -A 5 '"gateway":' fixtures/

# Search for location usage in gateway context
echo "Searching for location references in gateway context..."
rg -A 3 '"location".*"938696c4bcdb4b8a9a595cb38ed43913"' fixtures/

Length of output: 1380

Comment on lines +27 to +145
"hardware": "1",
"location": "f871b8c4d63549319221e294e4f88074",
"model": "Tom/Floor",
"model_id": "106-03",
"name": "Tom Badkamer",
"sensors": {
"battery": 99,
"setpoint": 18.0,
"temperature": 21.6,
"temperature_difference": -0.2,
"valve_position": 100
},
"temperature_offset": {
"lower_bound": -2.0,
"resolution": 0.1,
"setpoint": 0.1,
"upper_bound": 2.0
},
"vendor": "Plugwise",
"zigbee_mac_address": "000D6F000C8FF5EE"
},
"2568cc4b9c1e401495d4741a5f89bee1": {
"available": true,
"dev_class": "hometheater_plug",
"firmware": "2020-11-10T01:00:00+01:00",
"location": "f2bf9048bef64cc5b6d5110154e33c81",
"model": "Plug",
"model_id": "160-01",
"name": "Plug MediaTV",
"sensors": {
"electricity_consumed": 14.8,
"electricity_consumed_interval": 3.0,
"electricity_produced": 0.0,
"electricity_produced_interval": 0.0
},
"switches": {
"lock": true,
"relay": true
},
"vendor": "Plugwise",
"zigbee_mac_address": "000D6F000D13CCFD"
},
"29542b2b6a6a4169acecc15c72a599b8": {
"available": true,
"dev_class": "computer_desktop_plug",
"firmware": "2020-11-10T01:00:00+01:00",
"location": "f2bf9048bef64cc5b6d5110154e33c81",
"model": "Plug",
"model_id": "160-01",
"name": "Plug Werkplek",
"sensors": {
"electricity_consumed": 91.3,
"electricity_consumed_interval": 23.0,
"electricity_produced": 0.0,
"electricity_produced_interval": 0.0
},
"switches": {
"lock": false,
"relay": true
},
"vendor": "Plugwise",
"zigbee_mac_address": "000D6F000D13CA9A"
},
"67d73d0bd469422db25a618a5fb8eeb0": {
"available": true,
"dev_class": "heater_central_plug",
"location": "b4f211175e124df59603412bafa77a34",
"model": "Aqara Smart Plug",
"model_id": "lumi.plug.maeu01",
"name": "SmartPlug Floor 0",
"sensors": {
"electricity_consumed_interval": 0.0
},
"switches": {
"lock": false,
"relay": true
},
"vendor": "LUMI",
"zigbee_mac_address": "54EF4410002C97F2"
},
"854f8a9b0e7e425db97f1f110e1ce4b3": {
"available": true,
"dev_class": "central_heating_pump_plug",
"firmware": "2020-11-10T01:00:00+01:00",
"location": "f2bf9048bef64cc5b6d5110154e33c81",
"model": "Plug",
"model_id": "160-01",
"name": "Plug Vloerverwarming",
"sensors": {
"electricity_consumed": 43.8,
"electricity_consumed_interval": 0.0,
"electricity_produced": 0.0,
"electricity_produced_interval": 0.0
},
"switches": {
"relay": true
},
"vendor": "Plugwise",
"zigbee_mac_address": "000D6F000D13CB6F"
},
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💡 Codebase verification

Test fixtures contain mix of fake and potentially real device identifiers

The fixtures mostly use properly anonymized test data (e.g., "ABCD012345670A##" pattern), but some files contain what appear to be real device identifiers:

  • 000D6F000C8FF5EE (Plugwise device in adam_plus_anna_new_regulation_off)
  • 000D6F000D13CCFD (Plugwise device in adam_plus_anna_new_regulation_off)
  • 000D6F000D13CA9A (Plugwise device in adam_plus_anna_new_regulation_off)

Recommend replacing these with anonymized test data following the existing pattern used in other fixtures.

🔗 Analysis chain

Consider security implications of exposed device identifiers.

  1. The fixture contains real MAC addresses and device identifiers which could pose a security risk if this data represents production devices.
  2. Some devices show outdated firmware versions from 2020, which might not reflect current security patches.

Run this script to check for potentially sensitive data patterns:

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for potentially sensitive data patterns in fixture files
# Look for MAC addresses and similar identifiers that shouldn't be in fixtures

echo "Checking for MAC addresses and device identifiers..."
rg -i '[0-9A-F]{12,}' fixtures/
rg -i '(?:[0-9A-F]{2}:){5}[0-9A-F]{2}' fixtures/

Length of output: 69530

Comment on lines +1 to +60
{
"0000aaaa0000aaaa0000aaaa0000aa00": {
"dev_class": "gateway",
"firmware": "1.8.22",
"location": "0000aaaa0000aaaa0000aaaa0000aa00",
"mac_address": "01:23:45:67:89:AB",
"model": "Gateway",
"name": "Smile Anna",
"vendor": "Plugwise"
},
"04e4cbfe7f4340f090f85ec3b9e6a950": {
"binary_sensors": {
"flame_state": true,
"heating_state": true
},
"dev_class": "heater_central",
"location": "0000aaaa0000aaaa0000aaaa0000aa00",
"maximum_boiler_temperature": {
"lower_bound": 50.0,
"resolution": 1.0,
"setpoint": 50.0,
"upper_bound": 90.0
},
"model": "Generic heater",
"name": "OpenTherm",
"sensors": {
"dhw_temperature": 51.2,
"intended_boiler_temperature": 17.0,
"modulation_level": 0.0,
"return_temperature": 21.7,
"water_pressure": 1.2,
"water_temperature": 23.6
},
"vendor": "Bosch Thermotechniek B.V."
},
"0d266432d64443e283b5d708ae98b455": {
"active_preset": "home",
"climate_mode": "heat",
"control_state": "heating",
"dev_class": "thermostat",
"firmware": "2017-03-13T11:54:58+01:00",
"hardware": "6539-1301-500",
"location": "0000aaaa0000aaaa0000aaaa0000aa00",
"model": "ThermoTouch",
"name": "Anna",
"preset_modes": ["away", "vacation", "asleep", "home", "no_frost"],
"sensors": {
"illuminance": 150.8,
"setpoint": 20.5,
"temperature": 20.4
},
"thermostat": {
"lower_bound": 4.0,
"resolution": 0.1,
"setpoint": 20.5,
"upper_bound": 30.0
},
"vendor": "Plugwise"
}
}
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💡 Codebase verification

Add notification-related fields to gateway device structure

The JSON structure needs to include notification handling capabilities in the gateway device:

  • Add binary_sensors.plugwise_notification field
  • Add notifications dictionary field

Example structure for gateway device:

{
  "binary_sensors": {
    "plugwise_notification": false
  },
  "notifications": {}
}
🔗 Analysis chain

Verify alignment with PR objectives.

This new JSON structure aligns with the PR objective of replacing PlugwiseData with a single data dictionary. However, please ensure that:

  1. The structure matches the new SmileProps class implementation
  2. All required gateway items have been moved to Smile properties
  3. The notifications content is properly integrated into the gateway dictionary
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for SmileProps class definition and usage
ast-grep --pattern 'class SmileProps {
  $$$
}'

# Search for notification-related code
rg -g '*.py' 'notification|notify' .

Length of output: 4571

Comment on lines +14 to +17
"lower_bound": 0.0,
"resolution": 0.01,
"setpoint": 13.0,
"upper_bound": 99.9
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💡 Codebase verification

Temperature bounds inconsistency confirmed across zones

The verification confirms significant variations in temperature bounds:

  • Three zones (Slaapkamer, Kinderkamer, Logeerkamer): 0°C to 99.9°C
  • Woonkamer: 4°C to 30°C

Consider standardizing all zones to use Woonkamer's more practical bounds (4°C to 30°C) to ensure safety and efficiency.

🔗 Analysis chain

Verify temperature bounds consistency across zones.

Temperature bounds vary significantly between zones:

  • Slaapkamer & Logeerkamer: 0.0°C to 99.9°C
  • Woonkamer: 4.0°C to 30.0°C

This inconsistency could lead to user confusion and potential safety issues. Consider standardizing the bounds across all zones.

Also applies to: 37-40, 297-300

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Find all temperature bounds in the fixture
echo "Temperature bounds across zones:"
jq -r '.[] | select(.thermostat != null) | "\(.name): \(.thermostat.lower_bound)°C to \(.thermostat.upper_bound)°C"' fixtures/adam_jip/data.json

Length of output: 324

"938696c4bcdb4b8a9a595cb38ed43913": {
"dev_class": "smartmeter",
"location": "938696c4bcdb4b8a9a595cb38ed43913",
"model": "Ene5\\T210-DESMR5.0",
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🛠️ Refactor suggestion

Fix escaped backslashes in model and vendor fields.

The model and vendor fields contain escaped backslashes (Ene5\\T210-DESMR5.0) which might cause issues when parsing. Consider using forward slashes or removing the escape characters if they're not required.

-    "model": "Ene5\\T210-DESMR5.0",
+    "model": "Ene5/T210-DESMR5.0",
-    "vendor": "Ene5\\T210-DESMR5.0"
+    "vendor": "Ene5/T210-DESMR5.0"

Also applies to: 23-23

@bouwew bouwew changed the title Introduce Smile properties Rework code: output a single dict, add gw_data items as Smile-properties Jan 25, 2025
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Actionable comments posted: 6

♻️ Duplicate comments (1)
fixtures/adam_jip/data.json (1)

14-17: ⚠️ Potential issue

Temperature bounds inconsistency detected across zones.

The temperature bounds vary significantly between zones:

  • Woonkamer: 4.0°C to 30.0°C (practical range)
  • Other zones (Slaapkamer, Kinderkamer, Logeerkamer): 0.0°C to 99.9°C (unsafe range)

This inconsistency could lead to safety issues and excessive energy consumption.

Also applies to: 37-40, 250-253, 297-300

🧹 Nitpick comments (19)
fixtures/anna_elga_2/data.json (1)

52-64: Consider consolidating overlapping temperature configurations.

The temperature_offset and thermostat sections contain duplicated temperature bounds and setpoint configurations. Consider consolidating these into a single configuration object to:

  • Reduce data redundancy
  • Prevent potential inconsistencies
  • Improve maintainability
-    "temperature_offset": {
-      "lower_bound": -2.0,
-      "resolution": 0.1,
-      "setpoint": 0.0,
-      "upper_bound": 2.0
-    },
-    "thermostat": {
-      "lower_bound": 4.0,
-      "resolution": 0.1,
-      "setpoint_high": 30.0,
-      "setpoint_low": 19.5,
-      "upper_bound": 30.0
-    },
+    "temperature_control": {
+      "offset": {
+        "lower_bound": -2.0,
+        "upper_bound": 2.0,
+        "setpoint": 0.0
+      },
+      "bounds": {
+        "lower": 4.0,
+        "upper": 30.0
+      },
+      "setpoints": {
+        "high": 30.0,
+        "low": 19.5
+      },
+      "resolution": 0.1
+    },
fixtures/m_anna_heatpump_idle/data.json (2)

48-54: Consider standardizing temperature sensor naming.

For consistency, consider standardizing the temperature sensor names:

  • dhw_temperature vs water_temperature
  • outdoor_air_temperature vs gateway's outdoor_temperature

This will make it easier for consumers of the API to understand the relationships between different temperature measurements.


63-63: Consider using consistent string format for schedules.

The available_schedules array contains mixed string formats: "standaard" (Dutch) and "off" (English). Consider standardizing to a single language for consistency.

fixtures/m_adam_heating/data.json (2)

61-73: Add temperature bounds for consistency.

The thermostat configuration lacks temperature bounds that are present in other temperature-controlling devices in the system. Consider adding lower_bound, upper_bound, and resolution for consistency.


136-168: Consider localizing schedule names.

The available schedules include mixed language entries (e.g., "Vakantie", "Weekschema"). Consider standardizing to a single language or supporting localization.

fixtures/adam_zone_per_device/data.json (5)

578-582: Consider standardizing notification format.

The notification structure could be improved to make it more consistent and easier to parse:

  1. The nested structure with a UUID key adds unnecessary complexity
  2. The warning message contains multiple pieces of information that could be structured

Consider this alternative structure:

-    "notifications": {
-      "af82e4ccf9c548528166d38e560662a4": {
-        "warning": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
-      }
-    },
+    "notifications": [
+      {
+        "id": "af82e4ccf9c548528166d38e560662a4",
+        "type": "warning",
+        "device_type": "Node Plug",
+        "mac_address": "000D6F000D13CB01",
+        "room": "n.a.",
+        "timestamp": "2020-01-18T23:03:00",
+        "message": "Device has been unreachable. Please check the connection and restart the device."
+      }
+    ],

43-48: Consider adding temperature unit specification.

The thermostat settings across multiple devices don't specify the temperature unit (Celsius/Fahrenheit). While it might be implicit, making it explicit would improve clarity.

Add a unit field to the thermostat objects:

     "thermostat": {
       "lower_bound": 0.0,
       "resolution": 0.01,
       "setpoint": 21.5,
-      "upper_bound": 100.0
+      "upper_bound": 100.0,
+      "unit": "celsius"
     },

Also applies to: 77-82, 130-135, 278-283, 425-430


203-208: Standardize temperature offset ranges.

All devices have identical temperature offset configurations. Consider moving these common configurations to a shared schema or template to maintain consistency and ease future updates.

Also applies to: 344-349, 368-373, 394-399, 477-482, 531-536


337-337: Fix trailing space in device name.

The name "Bios Cv Thermostatic Radiator " contains a trailing space which should be removed.

-    "name": "Bios Cv Thermostatic Radiator ",
+    "name": "Bios Cv Thermostatic Radiator"

38-38: Consider adding descriptions for preset modes.

The preset modes (home, asleep, away, vacation, no_frost) would benefit from descriptions explaining their intended use and impact on temperature settings.

Consider adding a preset_descriptions object:

     "preset_modes": ["home", "asleep", "away", "vacation", "no_frost"],
+    "preset_descriptions": {
+      "home": "Normal comfort temperature when at home",
+      "asleep": "Reduced temperature for nighttime",
+      "away": "Energy-saving mode when nobody is home",
+      "vacation": "Extended away mode for longer periods",
+      "no_frost": "Minimum temperature to prevent freezing"
+    },

Also applies to: 70-70, 125-125, 273-273, 418-418

fixtures/m_adam_cooling/data.json (1)

1-203: Consider adding JSON schema documentation.

To improve maintainability and ensure data consistency, consider adding a JSON schema file that documents the expected structure, required fields, and data types for each device class. This will help with validation and serve as documentation for developers.

fixtures/adam_jip/data.json (1)

87-87: Standardize valve position numeric representation.

The valve position values use inconsistent numeric representations:

  • Some use decimal (0.0)
  • Others use integer (100)

This inconsistency could cause type conversion issues in the application code.

Also applies to: 111-111, 178-178, 274-274

fixtures/m_adam_multiple_devices_per_zone/data.json (2)

572-576: Consider adding timestamp field to notifications.

The notification structure could benefit from having an explicit timestamp field rather than embedding it in the warning message. This would make it easier to sort, filter, and process notifications programmatically.

   "notifications": {
     "af82e4ccf9c548528166d38e560662a4": {
-      "warning": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
+      "warning": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable. Please check the connection and restart the device.",
+      "timestamp": "2020-01-18T23:03:00Z",
+      "device_mac": "000D6F000D13CB01",
+      "room": "n.a."
     }
   },

383-387: Add low battery warning threshold for zone thermostats.

Zone thermostats report battery levels but lack a clear warning threshold. For example:

  • "Zone Lisa WK" has 34% battery
  • "Zone Lisa Bios" has 67% battery
  • "Thermostatic Radiator Badkamer 2" has 92% battery

Consider adding a battery_threshold field to standardize when the low_battery binary sensor should trigger.

   "sensors": {
     "battery": 34,
     "setpoint": 21.5,
-    "temperature": 20.9
+    "temperature": 20.9,
+    "battery_threshold": 20
   },

Also applies to: 492-496, 546-550

fixtures/anna_elga_2_schedule_off/data.json (1)

15-20: Standardize temperature value representation.

Consider the following improvements for consistency:

  1. Temperature values should use consistent decimal places (e.g., 13.0 vs 23.4)
  2. Consider extracting repeated temperature bounds and resolutions into shared configurations

Also applies to: 58-63, 64-70

fixtures/m_anna_heatpump_cooling/data.json (1)

1-97: Consider standardizing common patterns across fixture files.

To improve maintainability, consider:

  1. Standardizing number formats (consistent decimal places)
  2. Creating a schema file to validate fixture data
  3. Documenting the expected structure and relationships between devices

I can help create a JSON schema file if you'd like to validate these fixtures automatically.

fixtures/adam_multiple_devices_per_zone/data.json (1)

581-585: Consider masking sensitive information in notifications.

The notification message contains a MAC address that could potentially expose device information. Consider masking or using a placeholder in test fixtures.

-        "warning": "Node Plug (with MAC address 000D6F000D13CB01, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
+        "warning": "Node Plug (with MAC address XXXXXXXXXXXX, in room 'n.a.') has been unreachable since 23:03 2020-01-18. Please check the connection and restart the device."
plugwise/helper.py (2)

625-629: Improve docstring formatting.

The docstring formatting could be improved for better readability and consistency with PEP 257.

-        """# Anna+Elga: base cooling_state on the elga-status-code.
-
-        For Elga, 'elga_status_code' in (8, 9) means cooling is enabled.
-        'elga_status_code' = 8 means cooling is active, 9 means idle.
-        """
+        """Base cooling_state on the elga-status-code for Anna+Elga.
+
+        Args:
+            data (GwEntityData): The gateway entity data.
+
+        Notes:
+            - elga_status_code in (8, 9) means cooling is enabled
+            - elga_status_code = 8 means cooling is active
+            - elga_status_code = 9 means idle
+        """

651-655: Improve docstring formatting for consistency.

Similar to the previous comment, the docstring formatting should be consistent across the codebase.

-        """Loria/Thermastage: base cooling-related on cooling_state and modulation_level.
-
-        For the Loria or Thermastage heatpump connected to an Anna cooling-enabled is
-        indicated via the Cooling Enable switch in the Plugwise App.
-        """
+        """Base cooling-related settings on cooling_state and modulation_level for Loria/Thermastage.
+
+        Args:
+            data (GwEntityData): The gateway entity data.
+
+        Notes:
+            For the Loria or Thermastage heatpump connected to an Anna,
+            cooling-enabled is indicated via the Cooling Enable switch
+            in the Plugwise App.
+        """
📜 Review details

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📥 Commits

Reviewing files that changed from the base of the PR and between 2b702aa and e068cd1.

📒 Files selected for processing (82)
  • CHANGELOG.md (1 hunks)
  • fixtures/adam_heatpump_cooling/all_data.json (0 hunks)
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  • plugwise/legacy/smile.py
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  • pyproject.toml
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  • tests/test_adam.py
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  • fixtures/legacy_anna/all_data.json
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  • fixtures/anna_loria_heating_idle/all_data.json
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  • fixtures/m_adam_jip/all_data.json
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  • fixtures/adam_onoff_cooling_fake_firmware/all_data.json
  • fixtures/anna_elga_2_schedule_off/all_data.json
  • fixtures/adam_multiple_devices_per_zone/all_data.json
  • fixtures/adam_heatpump_cooling/all_data.json
  • fixtures/adam_plus_anna_new/all_data.json
  • fixtures/anna_v4/all_data.json
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  • fixtures/m_adam_jip/data.json
🚧 Files skipped from review as they are similar to previous changes (23)
  • fixtures/stretch_v31/data.json
  • plugwise/legacy/data.py
  • fixtures/smile_p1_v2/data.json
  • plugwise/common.py
  • fixtures/anna_elga_2_cooling/data.json
  • fixtures/adam_plus_anna_new/data.json
  • fixtures/stretch_v27_no_domain/data.json
  • fixtures/adam_onoff_cooling_fake_firmware/data.json
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  • fixtures/smile_p1_v2_2/data.json
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  • fixtures/anna_loria_driessens/data.json
  • plugwise/data.py
  • fixtures/anna_v4_no_tag/data.json
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  • fixtures/anna_heatpump_cooling/data.json
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  • plugwise/init.py
  • fixtures/anna_v4_dhw/data.json
  • fixtures/anna_heatpump_heating/data.json
  • fixtures/anna_v4/data.json
🧰 Additional context used
📓 Learnings (1)
fixtures/m_adam_heating/data.json (1)
Learnt from: bouwew
PR: plugwise/python-plugwise#630
File: tests/data/adam/adam_g_o.json:0-0
Timestamp: 2024-11-12T13:49:49.714Z
Learning: The minimal information for the `heater_central` device is due to a known bug still present in the code.
🔇 Additional comments (35)
fixtures/anna_elga_2/data.json (3)

1-85: Well-structured device data representation!

The JSON structure is well-organized with:

  • Unique device identifiers as keys
  • Consistent base fields across devices
  • Clear hierarchical organization of device properties

23-23: Verify the water pressure reading.

The water pressure value of 0.5 bar is below the typical operating range (1.0-2.0 bar) for central heating systems. This could indicate a potential issue with the system or the sensor reading.

Please verify if this is:

  1. A real system pressure issue that needs attention
  2. A sensor calibration issue
  3. Expected behavior for this specific system

21-21: Resolve outdoor temperature inconsistency.

There's a discrepancy in the outdoor temperature readings:

  • Gateway sensor: 6.38°C
  • Heater sensor: 6.0°C

This difference could cause confusion for users and potentially affect system behavior. Consider:

  1. Documenting which reading should be considered authoritative
  2. Implementing a single source of truth for outdoor temperature

Also applies to: 81-82

fixtures/m_anna_heatpump_idle/data.json (3)

10-10: Verify if this is a placeholder MAC address.

The MAC address "012345670001" appears to be a placeholder. If this is test data, consider adding a comment or documentation to indicate this is a mock value. If this is production data, ensure this is replaced with the actual MAC address.


75-77: Validate temperature thresholds against current state.

The cooling activation temperature (25.0°C) is lower than the current outdoor temperature (28.2°C), yet the cooling_state is false in the heater data. Please verify if this is the expected behavior for the idle state.


1-97: Well-structured data representation that aligns with PR objectives.

The new single dictionary approach provides a clear and organized structure for representing the system state. The relationships between components are well defined through location IDs, and the data is logically grouped by device type (gateway, heater/cooler, thermostat).

A few observations:

  1. The structure successfully consolidates gateway items as Smile-properties
  2. Temperature values are consistent across different components
  3. The idle state is correctly reflected across all components
fixtures/adam_heatpump_cooling/data.json (4)

1-807: Well-structured JSON configuration.

The JSON structure is clean, consistent, and well-organized. Each device has a unique identifier and follows a consistent schema based on its device class.


796-799: Inconsistent temperature bounds across thermostats.

The temperature bounds vary between thermostats:

  • Woonkamer (fa5fa6b34f6b40a0972988b20e888ed4): lower_bound=1.0, upper_bound=35.0
  • Other thermostats: lower_bound=0.0, upper_bound=99.9

This might lead to unexpected behavior in temperature control.

Please verify if this difference is intentional or if it should be standardized across all thermostats.

Also applies to: 563-566


293-293: Verify location reference integrity.

The gateway references location ID "eedadcb297564f1483faa509179aebed", but this location is not defined in the current scope. This might cause issues if the location data is required for proper functionality.

Please ensure that all referenced location IDs are properly defined and accessible.

Also applies to: 639-641


424-425: Inconsistent sensor data reporting.

Some climate zones report electricity consumption while others don't:

  • Slaapkamer RB: Reports electricity_consumed=3.13
  • Slaapkamer SQ: Reports electricity_consumed=0.0

This inconsistency might affect energy monitoring and reporting.

Please verify if this difference is expected based on the device capabilities or if it indicates a potential issue with sensor data collection.

Also applies to: 474-477

fixtures/m_adam_heating/data.json (4)

2-32: Verify heater configuration completeness.

The heater configuration appears minimal, which is consistent with a known bug (ref: PR #630). However, the temperature bounds and setpoints are well-defined with consistent resolution.


74-96: Verify gateway modes completeness.

The gateway configuration includes several modes:

  • Gateway modes: ["away", "full", "vacation"]
  • Regulation modes: ["bleeding_hot", "bleeding_cold", "off", "heating"]

Please verify if these are all supported modes and if any modes are missing.

✅ Verification successful

Gateway and regulation modes are correctly configured

The modes are complete and accurate for this heating-only device configuration. The gateway modes are standard across all devices, while regulation modes correctly exclude cooling capability which is only available in cooling-capable models.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for gateway mode definitions in the codebase
rg -A 5 "gateway_modes|regulation_modes"

Length of output: 15252


123-135: Verify member references existence.

The switching configuration references member IDs that are not defined in this file:

  • "2568cc4b9c1e401495d4741a5f89bee1"
  • "29542b2b6a6a4169acecc15c72a599b8"

Please verify these references are valid.

✅ Verification successful

Member references are valid and properly defined

Both referenced members exist as valid Plugwise plug devices in the test fixtures:

  • "2568cc4b9c1e401495d4741a5f89bee1" (hometheater_plug)
  • "29542b2b6a6a4169acecc15c72a599b8" (computer_desktop_plug)
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for the referenced member IDs in other fixture files
rg -l "2568cc4b9c1e401495d4741a5f89bee1|29542b2b6a6a4169acecc15c72a599b8" fixtures/

Length of output: 244


Script:

#!/bin/bash
# Examine the context of member IDs in the found files
for file in fixtures/m_adam_cooling/data.json fixtures/adam_plus_anna_new_regulation_off/data.json fixtures/adam_plus_anna_new/data.json; do
    echo "=== $file ==="
    rg -A 5 -B 5 "2568cc4b9c1e401495d4741a5f89bee1|29542b2b6a6a4169acecc15c72a599b8" "$file"
done

Length of output: 3370


33-60: Consider adding value validation for sensors.

The TRV reports maximum values for both battery (99%) and valve position (100%). Consider adding validation to ensure these values are within expected ranges and not default/error values.

fixtures/adam_zone_per_device/data.json (2)

1-590: LGTM! Well-structured JSON data with comprehensive device information.

The JSON structure is clean, consistent, and provides a good foundation for testing various device types and their properties.


579-581: Verify MAC address format in notification message.

The MAC address format in the notification message (000D6F000D13CB01) differs from the format used in device entries (ABCD012345670A01). This inconsistency might cause issues with MAC address validation or filtering.

fixtures/m_adam_cooling/data.json (4)

69-97: Gateway configuration looks good!

The gateway configuration properly includes:

  • Multiple operation modes
  • Comprehensive regulation modes for both heating and cooling
  • Essential sensor data (outdoor temperature)
  • Proper model identification

191-196: Verify temperature bounds for the bathroom zone.

The bathroom zone's temperature bounds (0.0-99.9°C) seem unusually wide compared to the living room (1.0-35.0°C). Please verify if these bounds are intentionally different for testing edge cases.


11-11: Verify location reference integrity.

The devices reference locations using UUIDs. Please verify that all referenced location IDs (bc93488efab249e5bc54fd7e175a6f91, f871b8c4d63549319221e294e4f88074, f2bf9048bef64cc5b6d5110154e33c81) are valid and consistent throughout the test fixtures.

Also applies to: 36-36, 59-59, 77-77, 106-106

✅ Verification successful

Location references are valid and properly structured

The location UUIDs are valid and consistently used across all test fixtures. Each UUID serves both as a location reference in device properties and as a top-level key defining the location's properties, maintaining proper referential integrity.

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for location references in all test fixtures
echo "Searching for location references in fixtures..."
fd . fixtures -t f -e json -x rg -l "bc93488efab249e5bc54fd7e175a6f91|f871b8c4d63549319221e294e4f88074|f2bf9048bef64cc5b6d5110154e33c81"

Length of output: 404


Script:

#!/bin/bash
# Extract context around location references to see how they're used
echo "=== Location references with context ==="
rg -A 2 -B 2 "bc93488efab249e5bc54fd7e175a6f91|f871b8c4d63549319221e294e4f88074|f2bf9048bef64cc5b6d5110154e33c81" fixtures/

# Look for potential location definitions
echo -e "\n=== Searching for location definitions ==="
rg -i "locations.*[\"\']*(bc93488efab249e5bc54fd7e175a6f91|f871b8c4d63549319221e294e4f88074|f2bf9048bef64cc5b6d5110154e33c81)" fixtures/

Length of output: 13265


100-102: Verify low battery warning threshold.

The zone thermostat "Lisa Badkamer" has a critically low battery level (14%) and the low_battery binary sensor is correctly set to true. Please verify if this test case adequately covers the battery warning threshold logic in the codebase.

Also applies to: 111-111

✅ Verification successful

Battery warning thresholds are correctly implemented and tested

The test case with 14% battery level properly validates the low battery warning system:

  • Critical threshold (15%) triggers "critically low" warning
  • Warning threshold (30%) triggers "low battery" warning
  • Binary sensor state correctly set to true when below thresholds
🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Search for battery threshold definitions and related tests
echo "Searching for battery threshold definitions..."
rg -i "battery.*threshold|low_battery" --type py

echo -e "\nSearching for battery-related test cases..."
rg -i "test.*battery|battery.*test" --type py

Length of output: 619


Script:

#!/bin/bash
# Search for battery percentage/level evaluation
echo "Searching for battery percentage evaluation..."
rg -i "battery.*(level|percentage|<=|>=|<|>)" -A 2 -B 2

echo -e "\nSearching for battery-related functions..."
ast-grep --pattern 'def $_($$$) {
  $$$
  battery
  $$$
}'

Length of output: 74121

fixtures/adam_jip/data.json (3)

333-337: Verify central heater safety parameters.

The central heater parameters require validation:

  1. Water pressure of 1.4 bar is within normal range (typically 1-2 bar)
  2. Water temperature of 37.3°C with 0.0°C intended boiler temperature needs verification
  3. Return temperature (37.1°C) is very close to water temperature (37.3°C), suggesting minimal heat transfer

Consider implementing automated safety checks and alerts for:

  • Low water pressure (< 1 bar)
  • High water temperature (> 80°C)
  • Unusual temperature differentials

154-154: Verify temperature sensor calibration.

Multiple rooms are reporting temperatures of exactly 30.0°C, which is unusually high and consistent across different zones. This could indicate:

  1. Sensor calibration issues
  2. Default/fallback values being used
  3. Temperature sensor malfunction

Also applies to: 204-204, 247-247, 294-294


228-234: Verify notifications configuration and outdoor temperature sensor.

Two potential concerns:

  1. Empty notifications object might indicate missing error handling
  2. Outdoor temperature of 24.9°C seems high compared to indoor temperatures of 30.0°C
fixtures/m_adam_multiple_devices_per_zone/data.json (1)

1-584: Verify the consistency of location references across devices.

The JSON structure uses location IDs to establish relationships between devices and zones. For example, device "680423ff840043738f42cc7f1ff97a36" references location "08963fec7c53423ca5680aa4cb502c63". We should verify that all referenced locations exist.

fixtures/p1v4_442_single/data.json (1)

1-43: LGTM! The JSON structure is well-organized and consistent.

The device hierarchy is correctly represented with the smartmeter's location pointing to the gateway's ID, and all required fields are present with appropriate data types.

fixtures/p1v4_442_triple/data.json (1)

14-18: Resolve inconsistent device state in test fixture.

The gateway shows a notification that it's not connected to a smart meter, but the fixture includes a smartmeter device marked as available. This inconsistency might affect test reliability.

Consider either:

  1. Removing the "not connected" notification
  2. Setting smartmeter's available to false
fixtures/anna_loria_heating_idle/data.json (1)

4-4: Remove trailing space from schedule name.

The schedule name "Test " contains a trailing space which could cause issues with string comparisons in code. Consider trimming whitespace from schedule names.

fixtures/m_anna_heatpump_cooling/data.json (1)

75-80: LGTM! Test fixture correctly represents an active cooling scenario.

The temperature values are appropriately set to test cooling activation:

  • Current temperature: 26.3°C
  • Cooling activation temperature: 21.0°C
    This ensures the cooling system should be active in this test scenario.
fixtures/adam_plus_anna_new_regulation_off/data.json (1)

1-286: Ensure test fixtures use anonymized data.

Similar to other fixtures, this file contains real device identifiers and MAC addresses that should be anonymized.

fixtures/stretch_v23/data.json (1)

1-354: LGTM! Well-structured test data with proper anonymization.

This fixture demonstrates good practices by using anonymized device identifiers (e.g., "ABCD012345670A##") consistently throughout the file.

plugwise/legacy/helper.py (1)

Line range hint 179-186: LGTM! Consistent use of smile_version.

The change from smile_fw_version to smile_version aligns with the PR's objective of simplifying data structures while maintaining functionality.

plugwise/constants.py (1)

396-397: LGTM! Well-structured type definitions with improved organization.

The renaming of GatewayData to SmileProps and moving notifications to GwEntityData improves code organization by:

  1. Consolidating gateway-related properties
  2. Placing notifications closer to their related entity data

Also applies to: 553-553

fixtures/adam_multiple_devices_per_zone/data.json (1)

1-593: LGTM! The JSON structure is well-organized and comprehensive.

The test fixture provides a thorough representation of various device types with consistent attribute naming and appropriate data types. The structure will be valuable for testing different device configurations.

plugwise/helper.py (1)

449-451: Consider implementing structured logging for notifications.

The notification processing could benefit from structured logging to improve debugging and monitoring capabilities.

CHANGELOG.md (1)

7-7: LGTM! The changelog entry is clear and follows the established format.

The entry properly documents the changes related to reworking the code to output a single dictionary and adding gateway data items as Smile-properties.

"gateway_modes": ["away", "full", "vacation"],
"hardware": "AME Smile 2.0 board",
"location": "eedadcb297564f1483faa509179aebed",
"mac_address": "012345670001",
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💡 Codebase verification

MAC addresses need consistent anonymization across test fixtures

The test fixtures contain a mix of anonymized and potentially real MAC addresses. While many files use the 012345670001 pattern, several files contain what appear to be real device MAC addresses:

  • anna_elga_2: C4930002FE76
  • anna_without_boiler_fw441: D40FB200FA1C
  • anna_loria_*: C493000278E2
  • adam_plus_anna_new: Multiple 000D6F* series MACs

Recommend using the 012345670001 pattern consistently across all test fixtures to prevent any potential device identification.

🔗 Analysis chain

Ensure MAC addresses are properly anonymized.

The file contains MAC addresses for multiple devices. While they appear to be using a test pattern (ABCD01234567xxxx), ensure that this pattern is consistently used across all test fixtures and that no real MAC addresses are accidentally included.

Run the following script to verify MAC address anonymization:

Also applies to: 98-98, 170-170, 190-190, 210-210, 232-232, 283-283, 354-354, 374-374, 457-457, 509-509, 593-593, 615-615, 637-637, 671-671, 729-729, 751-751, 773-773

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for consistent MAC address anonymization pattern

# Check for any MAC addresses that don't follow the test pattern
rg -i 'mac_address|zigbee_mac_address' | grep -iv 'ABCD012345670'

Length of output: 28547

Comment on lines +97 to +122
"e2f4322d57924fa090fbbc48b3a140dc": {
"available": true,
"binary_sensors": {
"low_battery": true
},
"dev_class": "zone_thermostat",
"firmware": "2016-10-10T02:00:00+02:00",
"hardware": "255",
"location": "f871b8c4d63549319221e294e4f88074",
"model": "Lisa",
"model_id": "158-01",
"name": "Lisa Badkamer",
"sensors": {
"battery": 14,
"setpoint": 15.0,
"temperature": 17.9
},
"temperature_offset": {
"lower_bound": -2.0,
"resolution": 0.1,
"setpoint": 0.0,
"upper_bound": 2.0
},
"vendor": "Plugwise",
"zigbee_mac_address": "000D6F000C869B61"
},
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🛠️ Refactor suggestion

Address battery and firmware concerns.

The zone thermostat configuration shows:

  • Critical battery level (14%)
  • Outdated firmware (2016-10-10)

Consider adding battery level thresholds and firmware version validation to proactively warn users.

Comment on lines +169 to +201
"f871b8c4d63549319221e294e4f88074": {
"active_preset": "home",
"available_schedules": [
"Badkamer",
"Test",
"Vakantie",
"Weekschema",
"off"
],
"climate_mode": "auto",
"control_state": "idle",
"dev_class": "climate",
"model": "ThermoZone",
"name": "Bathroom",
"preset_modes": ["no_frost", "asleep", "vacation", "home", "away"],
"select_schedule": "Badkamer",
"sensors": {
"electricity_consumed": 0.0,
"electricity_produced": 0.0,
"temperature": 17.9
},
"thermostat": {
"lower_bound": 0.0,
"resolution": 0.01,
"setpoint": 15.0,
"upper_bound": 99.9
},
"thermostats": {
"primary": ["e2f4322d57924fa090fbbc48b3a140dc"],
"secondary": ["1772a4ea304041adb83f357b751341ff"]
},
"vendor": "Plugwise"
}
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🛠️ Refactor suggestion

Standardize temperature bounds across zones.

The bathroom climate configuration has significantly different temperature bounds (0.0-99.9) compared to the living room (1.0-35.0). Consider standardizing these bounds across similar zones for consistency.

Comment on lines +43 to +48
"thermostat": {
"lower_bound": 0.0,
"resolution": 0.01,
"setpoint": 14.0,
"upper_bound": 100.0
},
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🛠️ Refactor suggestion

Standardize temperature bounds across thermostat devices.

Multiple thermostat devices have inconsistent temperature bounds. While the resolution (0.01 or 0.1) might vary by device type, the upper and lower bounds should be standardized for consistency:

  • Some devices use 0.0 to 100.0 for thermostat bounds
  • Others use -2.0 to 2.0 for temperature offset bounds

Consider standardizing these bounds based on physical limitations and user requirements. For example:

   "thermostat": {
-    "lower_bound": 0.0,
+    "lower_bound": 5.0,
     "resolution": 0.01,
     "setpoint": 21.5,
-    "upper_bound": 100.0
+    "upper_bound": 30.0
   },

Also applies to: 80-85, 124-129, 272-277, 419-424, 471-476, 497-502, 525-530

"firmware": "3.0.15",
"hardware": "AME Smile 2.0 board",
"location": "1f9dcf83fd4e4b66b72ff787957bfe5d",
"mac_address": "012345670001",
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🛠️ Refactor suggestion

Mask sensitive identifiers in test fixtures.

The fixture contains real-looking MAC addresses. While these might be anonymized, it's better to make it explicit by using clearly fake addresses.

-  "mac_address": "012345670001",
+  "mac_address": "EXAMPLE0001",
   "vendor": "Plugwise",
-  "zigbee_mac_address": "ABCD012345670101"
+  "zigbee_mac_address": "EXAMPLE0101"

Also applies to: 581-582

Comment on lines +1 to +130
"binary_sensors": {
"dhw_state": false,
"flame_state": false,
"heating_state": false
},
"dev_class": "heater_central",
"location": "07d618f0bb80412687f065b8698ce3e7",
"maximum_boiler_temperature": {
"lower_bound": 0.0,
"resolution": 1.0,
"setpoint": 80.0,
"upper_bound": 100.0
},
"model": "Generic heater",
"name": "OpenTherm",
"sensors": {
"intended_boiler_temperature": 0.0,
"water_temperature": 48.0
},
"switches": {
"dhw_cm_switch": false
}
},
"aa6b0002df0a46e1b1eb94beb61eddfe": {
"available": true,
"dev_class": "hometheater_plug",
"firmware": "2019-06-21T02:00:00+02:00",
"location": "45d410adf8fd461e85cebf16d5ead542",
"model": "Plug",
"model_id": "160-01",
"name": "MediaCenter",
"sensors": {
"electricity_consumed": 10.3,
"electricity_consumed_interval": 0.0,
"electricity_produced": 0.0,
"electricity_produced_interval": 0.0
},
"switches": {
"lock": false,
"relay": true
},
"vendor": "Plugwise",
"zigbee_mac_address": "ABCD012345670A01"
},
"b128b4bbbd1f47e9bf4d756e8fb5ee94": {
"binary_sensors": {
"plugwise_notification": true
},
"dev_class": "gateway",
"firmware": "3.0.15",
"hardware": "AME Smile 2.0 board",
"location": "07d618f0bb80412687f065b8698ce3e7",
"mac_address": "012345670001",
"model": "Gateway",
"model_id": "smile_open_therm",
"name": "Adam",
"notifications": {
"6fb89e35caeb4b1cb275184895202d84": {
"error": "There is no OpenTherm communication with the boiler."
}
},
"select_regulation_mode": "heating",
"sensors": {
"outdoor_temperature": 11.9
},
"vendor": "Plugwise",
"zigbee_mac_address": "ABCD012345670101"
},
"ee62cad889f94e8ca3d09021f03a660b": {
"dev_class": "thermostat",
"location": "009490cc2f674ce6b576863fbb64f867",
"model": "ThermoTouch",
"model_id": "143.1",
"name": "Anna",
"sensors": {
"setpoint": 20.5,
"temperature": 20.5
},
"vendor": "Plugwise"
},
"f2be121e4a9345ac83c6e99ed89a98be": {
"available": true,
"dev_class": "computer_desktop_plug",
"firmware": "2019-06-21T02:00:00+02:00",
"location": "5ccb6c41a7d9403988d261ceee04239f",
"name": "Work-PC",
"sensors": {
"electricity_consumed": 80.5,
"electricity_consumed_interval": 7.03,
"electricity_produced": 0.0,
"electricity_produced_interval": 0.0
},
"switches": {
"lock": false,
"relay": true
},
"vendor": "Plugwise",
"zigbee_mac_address": "ABCD012345670A02"
}
}
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💡 Codebase verification

Confirmed: Some fixtures contain real device identifiers that should be anonymized

The following MAC addresses appear to be real and should be replaced with the anonymized pattern (ABCD012345670A##):

  • "000D6F000C8FF5EE" in fixtures/m_adam_heating/data.json
  • "000D6F000D5A168D" in fixtures/m_adam_heating/data.json
  • "000D6F000C869B61" in fixtures/m_adam_heating/data.json
  • "000D6F000D13CB01" in fixtures/m_adam_multiple_devices_per_zone/data.json (in warning message)
🔗 Analysis chain

Ensure test fixtures use anonymized data.

The test fixture contains what appear to be real device identifiers and MAC addresses. For security and privacy, these should be replaced with anonymized test data following the pattern used in other fixtures (e.g., "ABCD012345670A##").

Run this script to identify potentially sensitive data patterns:

🏁 Scripts executed

The following scripts were executed for the analysis:

Script:

#!/bin/bash
# Description: Check for potentially sensitive data patterns in fixture files
# Look for MAC addresses and device identifiers that shouldn't be in fixtures

echo "Checking for MAC addresses and device identifiers..."
rg -i '[0-9A-F]{12,}' fixtures/
rg -i '(?:[0-9A-F]{2}:){5}[0-9A-F]{2}' fixtures/

Length of output: 69021

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Actionable comments posted: 1

🧹 Nitpick comments (10)
plugwise/smile.py (3)

52-54: Consider consistent parameter naming convention.

The constructor mixes underscore-prefixed parameters (_request, _smile_props) with non-prefixed ones (smile_hostname, smile_model, etc.). Consider using a consistent naming convention for all parameters.

-    def __init__(
-        self,
-        _cooling_present: bool,
-        _elga: bool,
-        _is_thermostat: bool,
-        _last_active: dict[str, str | None],
-        _loc_data: dict[str, ThermoLoc],
-        _on_off_device: bool,
-        _opentherm_device: bool,
-        _request: Callable[..., Awaitable[Any]],
-        _schedule_old_states: dict[str, dict[str, str]],
-        _smile_props: SmileProps,
-        smile_hostname: str | None,
-        smile_hw_version: str | None,
-        smile_mac_address: str | None,
-        smile_model: str,
-        smile_model_id: str | None,
-        smile_name: str,
-        smile_type: str,
-        smile_version: Version | None,
+    def __init__(
+        self,
+        cooling_present: bool,
+        elga: bool,
+        is_thermostat: bool,
+        last_active: dict[str, str | None],
+        loc_data: dict[str, ThermoLoc],
+        on_off_device: bool,
+        opentherm_device: bool,
+        request: Callable[..., Awaitable[Any]],
+        schedule_old_states: dict[str, dict[str, str]],
+        smile_props: SmileProps,
+        smile_hostname: str | None,
+        smile_hw_version: str | None,
+        smile_mac_address: str | None,
+        smile_model: str,
+        smile_model_id: str | None,
+        smile_name: str,
+        smile_type: str,
+        smile_version: Version | None,

Line range hint 124-134: Add defensive dictionary access.

The code assumes the existence of certain keys in dictionaries without validation. Consider using dictionary's get() method or adding explicit key validation to handle missing keys gracefully.

-            if "heater_id" in self._smile_props:
-                heat_cooler = self.gw_entities[self._smile_props["heater_id"]]
+            heater_id = self._smile_props.get("heater_id")
+            if heater_id is not None and heater_id in self.gw_entities:
+                heat_cooler = self.gw_entities[heater_id]
                 if (
                     "binary_sensors" in heat_cooler
                     and "cooling_enabled" in heat_cooler["binary_sensors"]
                 ):
                     self._cooling_enabled = heat_cooler["binary_sensors"][
                         "cooling_enabled"
                     ]
             else:  # cover failed data-retrieval for P1
-                _ = self.gw_entities[self._smile_props["gateway_id"]]["location"]
+                gateway_id = self._smile_props.get("gateway_id")
+                if gateway_id is None or gateway_id not in self.gw_entities:
+                    raise DataMissingError("Gateway ID not found or invalid")
+                _ = self.gw_entities[gateway_id]["location"]

464-466: Enhance error handling and type hints.

The error handling could be more informative, and the method signature could benefit from explicit type hints for the optional data parameter.

         try:
-            await self._request(uri, method=method, data=data)
+            await self._request(uri, method=method, data=data)  # type: ignore[arg-type]
         except ConnectionFailedError as exc:
-            raise ConnectionFailedError from exc
+            raise ConnectionFailedError(f"Failed to {method} {uri}") from exc
plugwise/smilecomm.py (2)

41-43: Consider using a more robust IPv6 detection method.

The current quickfix for IPv6 formatting relies on counting colons, which might not cover all valid IPv6 formats. Consider using the ipaddress module for more reliable IPv6 handling.

-        # Quickfix IPv6 formatting, not covering
-        if host.count(":") > 2:  # pragma: no cover
-            host = f"[{host}]"
+        # Handle IPv6 formatting
+        try:
+            import ipaddress
+            ip = ipaddress.ip_address(host)
+            if isinstance(ip, ipaddress.IPv6Address):
+                host = f"[{host}]"
+        except ValueError:
+            # Not a valid IP address, could be a hostname
+            pass

84-106: Enhance retry mechanism with exponential backoff.

The current retry mechanism could be improved by:

  1. Implementing exponential backoff to avoid overwhelming the server
  2. Consolidating duplicate error messages
  3. Adding jitter to prevent thundering herd
+    async def _retry_with_backoff(self, command: str, retry: int, method: str = "get", data: str | None = None) -> etree:
+        """Retry with exponential backoff."""
+        import random
+        for attempt in range(retry):
+            try:
+                return await self._request(command, 0, method, data)
+            except (ClientError, ConnectionFailedError) as exc:
+                if attempt == retry - 1:
+                    LOGGER.warning(
+                        "Failed sending %s %s to Plugwise Smile, error: %s",
+                        method,
+                        command,
+                        exc,
+                    )
+                    raise ConnectionFailedError from exc
+                # Exponential backoff with jitter
+                delay = (2 ** attempt) + random.uniform(0, 1)
+                await asyncio.sleep(delay)
+        return await self._request(command, 0, method, data)  # Final attempt

Then update the retry logic:

-            if retry < 1:
-                LOGGER.warning(
-                    "Failed sending %s %s to Plugwise Smile, error: %s",
-                    method,
-                    command,
-                    exc,
-                )
-                raise ConnectionFailedError from exc
-            return await self._request(command, retry - 1)
+            raise ConnectionFailedError from exc

-        if resp.status == 504:
-            if retry < 1:
-                LOGGER.warning(
-                    "Failed sending %s %s to Plugwise Smile, error: %s",
-                    method,
-                    command,
-                    "504 Gateway Timeout",
-                )
-                raise ConnectionFailedError
-            return await self._request(command, retry - 1)
+        if resp.status == 504:
+            raise ConnectionFailedError("504 Gateway Timeout")
plugwise/helper.py (5)

80-80: Add validation for gateway ID usage.

The gateway ID is used in multiple places but lacks validation. Consider adding validation to prevent potential issues with undefined or invalid gateway IDs.

+    @property
+    def gateway_id(self) -> str:
+        """Get the validated gateway ID."""
+        if self._gateway_id == NONE:
+            raise ValueError("Gateway ID not initialized")
+        return self._gateway_id
+
+    @gateway_id.setter
+    def gateway_id(self, value: str) -> None:
+        """Set the gateway ID with validation."""
+        if not value or value == NONE:
+            raise ValueError("Invalid gateway ID")
+        self._gateway_id = value

     def _get_p1_smartmeter_info(self) -> None:
         appl = Munch()
         locator = MODULE_LOCATOR
         module_data = self._get_module_data(self._home_location, locator)
         if not module_data["contents"]:
             LOGGER.error("No module data found for SmartMeter")
             return
         appl.available = None
-        appl.entity_id = self._gateway_id
+        appl.entity_id = self.gateway_id
         # ... rest of the method ...

         # Replace the entity_id of the gateway by the smartmeter location_id
-        self.gw_entities[self._home_loc_id] = self.gw_entities.pop(self._gateway_id)
-        self._gateway_id = self._home_loc_id
+        self.gw_entities[self._home_loc_id] = self.gw_entities.pop(self.gateway_id)
+        self.gateway_id = self._home_loc_id

     def _appl_gateway_info(self, appl: Munch, appliance: etree) -> Munch:
-        self._gateway_id = appliance.attrib["id"]
+        self.gateway_id = appliance.attrib["id"]

Also applies to: 167-167, 180-181, 254-255


625-629: Enhance cooling-related docstrings.

The docstrings could be improved by:

  1. Adding examples of status codes and their meanings
  2. Documenting edge cases and error conditions
  3. Including references to related methods
-    """# Anna+Elga: base cooling_state on the elga-status-code.
-
-    For Elga, 'elga_status_code' in (8, 9) means cooling is enabled.
-    'elga_status_code' = 8 means cooling is active, 9 means idle.
-    """
+    """Base cooling_state on the elga-status-code for Anna+Elga systems.
+
+    The elga_status_code determines the cooling state:
+    - 8: Cooling is enabled and active
+    - 9: Cooling is enabled but idle
+    - Other codes: Cooling is disabled
+
+    Edge cases:
+    - If elga_status_code is missing, cooling state defaults to disabled
+    - Invalid codes are treated as disabled state
+
+    Related methods:
+    - _update_anna_cooling: Parent method handling all cooling updates
+    - _cleanup_data: Removes cooling data when not applicable
+    """

-    """Loria/Thermastage: base cooling-related on cooling_state and modulation_level.
-
-    For the Loria or Thermastage heatpump connected to an Anna cooling-enabled is
-    indicated via the Cooling Enable switch in the Plugwise App.
-    """
+    """Handle cooling state for Loria/Thermastage systems.
+
+    Cooling state is determined by:
+    1. Primary indicator: Cooling Enable switch in Plugwise App
+    2. Secondary indicators:
+       - cooling_state from device
+       - modulation_level (100 indicates active cooling)
+
+    Edge cases:
+    - If cooling_ena_switch exists, it takes precedence
+    - For older firmware, fallback to modulation_level
+
+    Related methods:
+    - _update_anna_cooling: Parent method handling all cooling updates
+    - _cleanup_data: Removes cooling data when not applicable
+    """

Also applies to: 651-655


449-451: Enhance notification handling with structured logging.

The current notification handling could be improved with better error handling and structured logging.

-                self._notifications[msg_id] = {msg_type: msg}
-                LOGGER.debug("Plugwise notifications: %s", self._notifications)
+                try:
+                    if not msg_id or not msg_type:
+                        raise ValueError("Missing required notification fields")
+                    
+                    self._notifications[msg_id] = {msg_type: msg}
+                    
+                    LOGGER.debug(
+                        "Processed Plugwise notification",
+                        extra={
+                            "notification_id": msg_id,
+                            "type": msg_type,
+                            "total_notifications": len(self._notifications)
+                        }
+                    )
+                except (KeyError, ValueError) as err:
+                    LOGGER.warning(
+                        "Failed to process notification",
+                        extra={
+                            "error": str(err),
+                            "notification_id": msg_id,
+                            "type": msg_type
+                        }
+                    )

526-529: Improve error handling in gateway mode retrieval.

The gateway mode retrieval could benefit from more robust error handling and validation.

-        if not (self.smile(ADAM) and entity_id == self._gateway_id):
+        if not self.smile(ADAM):
+            LOGGER.debug("Gateway mode only supported for ADAM devices")
+            return None
+            
+        if entity_id != self._gateway_id:
+            LOGGER.debug("Gateway mode only available for gateway entity")
             return None

         if (search := search_actuator_functionalities(appliance, key)) is not None:
-            return str(search.find("mode").text)
+            try:
+                if mode_element := search.find("mode"):
+                    return str(mode_element.text)
+                LOGGER.warning("Mode element not found in actuator functionality")
+            except (AttributeError, TypeError) as err:
+                LOGGER.warning("Failed to retrieve gateway mode: %s", err)
+            
         return None

Line range hint 567-571: Add temperature format validation.

The outdoor temperature handling could benefit from format validation before updating the data.

-        if self._is_thermostat and entity_id == self._gateway_id:
-            locator = "./logs/point_log[type='outdoor_temperature']/period/measurement"
-            if (found := self._home_location.find(locator)) is not None:
-                value = format_measure(found.text, NONE)
-                data.update({"sensors": {"outdoor_temperature": value}})
-                self._count += 1
+        if not (self._is_thermostat and entity_id == self._gateway_id):
+            return
+
+        locator = "./logs/point_log[type='outdoor_temperature']/period/measurement"
+        if not (found := self._home_location.find(locator)):
+            return
+
+        try:
+            raw_value = found.text
+            if raw_value is None:
+                LOGGER.warning("Outdoor temperature measurement is None")
+                return
+                
+            value = format_measure(raw_value, NONE)
+            if not isinstance(value, (int, float)) or not -50 <= value <= 50:
+                LOGGER.warning(
+                    "Invalid outdoor temperature: %s",
+                    value
+                )
+                return
+                
+            data.update({"sensors": {"outdoor_temperature": value}})
+            self._count += 1
+        except (ValueError, TypeError) as err:
+            LOGGER.warning(
+                "Failed to process outdoor temperature: %s",
+                err
+            )
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📥 Commits

Reviewing files that changed from the base of the PR and between e068cd1 and f61c1d6.

📒 Files selected for processing (3)
  • plugwise/helper.py (9 hunks)
  • plugwise/smile.py (8 hunks)
  • plugwise/smilecomm.py (1 hunks)
🔇 Additional comments (2)
plugwise/smilecomm.py (2)

59-83: Consider Python version compatibility requirements.

The use of match-case statements requires Python 3.10+. If broader version compatibility is needed, consider using if-elif-else statements.

Run this script to check the project's Python version requirements:


146-148: ⚠️ Potential issue

Only close internally created web sessions.

The current implementation might incorrectly close externally provided sessions. Track whether the session was created internally and only close it in that case.

+    def __init__(
+        self,
+        host: str,
+        password: str,
+        port: int,
+        timeout: int,
+        username: str,
+        websession: ClientSession | None,
+    ) -> None:
+        """Set the constructor for this class."""
+        self._internal_session = websession is None
         if not websession:
             aio_timeout = ClientTimeout(total=timeout)
             self._websession = ClientSession(timeout=aio_timeout)
         else:
             self._websession = websession

     async def close_connection(self) -> None:
         """Close the Plugwise connection."""
-        await self._websession.close()
+        if self._internal_session:
+            await self._websession.close()

Likely invalid or redundant comment.

@bouwew bouwew marked this pull request as ready for review January 25, 2025 13:18
@bouwew bouwew requested a review from a team as a code owner January 25, 2025 13:18
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Actionable comments posted: 0

🧹 Nitpick comments (5)
plugwise/smilecomm.py (2)

59-84: Consider using if-elif-else for better compatibility.

The match-case statement is a Python 3.10+ feature. For broader compatibility with earlier Python versions, consider using if-elif-else statements.

Apply this diff to improve compatibility:

-            match method:
-                case "delete":
+            if method == "delete":
                     resp = await self._websession.delete(url, auth=self._auth)
-                case "get":
+            elif method == "get":
                     # Work-around for Stretchv2, should not hurt the other smiles
                     headers = {"Accept-Encoding": "gzip"}
                     resp = await self._websession.get(
                         url, headers=headers, auth=self._auth
                     )
-                case "post":
+            elif method == "post":
                     headers = {"Content-type": "text/xml"}
                     resp = await self._websession.post(
                         url,
                         headers=headers,
                         data=data,
                         auth=self._auth,
                     )
-                case "put":
+            elif method == "put":
                     headers = {"Content-type": "text/xml"}
                     resp = await self._websession.put(
                         url,
                         headers=headers,
                         data=data,
                         auth=self._auth,
                     )
+            else:
+                raise ValueError(f"Unsupported method: {method}")

112-130: Consider using if-elif-else and enhance error handling.

Similar to the previous comment, consider:

  1. Using if-elif-else instead of match-case for better compatibility
  2. Adding more specific error handling for different status codes

Apply this diff to improve the implementation:

-        match resp.status:
-            case 200:
+        if resp.status == 200:
                 # Cornercases for server not responding with 202
                 if method in ("post", "put"):
                     return
-            case 202:
+        elif resp.status == 202:
                 # Command accepted gives empty body with status 202
                 return
-            case 401:
+        elif resp.status == 401:
                 msg = (
                     "Invalid Plugwise login, please retry with the correct credentials."
                 )
                 LOGGER.error("%s", msg)
                 raise InvalidAuthentication
-            case 405:
+        elif resp.status == 405:
                 msg = "405 Method not allowed."
                 LOGGER.error("%s", msg)
                 raise ConnectionFailedError
+        elif resp.status >= 500:
+            msg = f"Server error: {resp.status}"
+            LOGGER.error("%s", msg)
+            raise ConnectionFailedError
+        else:
+            msg = f"Unexpected status code: {resp.status}"
+            LOGGER.error("%s", msg)
+            raise ConnectionFailedError
plugwise/helper.py (3)

626-630: Improve docstring formatting for better readability.

Consider restructuring the docstring to better highlight the status codes.

Apply this diff to improve the documentation:

-        """# Anna+Elga: base cooling_state on the elga-status-code.
-
-        For Elga, 'elga_status_code' in (8, 9) means cooling is enabled.
-        'elga_status_code' = 8 means cooling is active, 9 means idle.
-        """
+        """Base cooling_state on the Elga status code.
+
+        For Anna+Elga, the cooling state is determined by the elga_status_code:
+        - Status codes 8 and 9: Cooling is enabled
+          - Status code 8: Cooling is active
+          - Status code 9: Cooling is idle
+        """

652-656: Improve docstring formatting for better readability.

Consider restructuring the docstring to better highlight the cooling enable functionality.

Apply this diff to improve the documentation:

-        """Loria/Thermastage: base cooling-related on cooling_state and modulation_level.
-
-        For the Loria or Thermastage heatpump connected to an Anna cooling-enabled is
-        indicated via the Cooling Enable switch in the Plugwise App.
-        """
+        """Base cooling functionality on cooling_state and modulation_level.
+
+        For Loria/Thermastage heat pumps connected to an Anna:
+        - Cooling enabled status is controlled via the Cooling Enable switch
+          in the Plugwise App
+        - Cooling state is determined by the combination of cooling_state
+          and modulation_level
+        """

450-452: Enhance notification handling with structured logging.

Consider improving the notification handling with structured logging and better error handling.

Apply this diff to improve the implementation:

-                self._notifications[msg_id] = {msg_type: msg}
-                LOGGER.debug("Plugwise notifications: %s", self._notifications)
+                try:
+                    self._notifications[msg_id] = {msg_type: msg}
+                    LOGGER.debug(
+                        "Processed notification",
+                        extra={
+                            "notification_id": msg_id,
+                            "type": msg_type,
+                            "total_notifications": len(self._notifications)
+                        }
+                    )
+                except (KeyError, TypeError) as err:
+                    LOGGER.error(
+                        "Failed to process notification",
+                        extra={
+                            "notification_id": msg_id,
+                            "error": str(err)
+                        }
+                    )
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📒 Files selected for processing (3)
  • plugwise/helper.py (9 hunks)
  • plugwise/smilecomm.py (1 hunks)
  • pyproject.toml (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
  • pyproject.toml
⏰ Context from checks skipped due to timeout of 90000ms (1)
  • GitHub Check: Check commit
🔇 Additional comments (6)
plugwise/smilecomm.py (2)

25-47: LGTM! Constructor implementation looks good.

The constructor has been simplified and properly handles:

  • Web session initialization
  • IPv6 address formatting
  • Basic authentication setup

146-148: 🛠️ Refactor suggestion

Add check before closing the web session.

Only close the web session if it was created internally by the class to avoid affecting externally managed sessions.

Apply this diff to improve session handling:

     async def close_connection(self) -> None:
         """Close the Plugwise connection."""
-        await self._websession.close()
+        if hasattr(self, '_websession') and self._websession is not None:
+            await self._websession.close()
+            self._websession = None

Likely invalid or redundant comment.

plugwise/helper.py (4)

80-81: LGTM! Proper initialization of gateway ID.

The gateway ID is correctly initialized as a private attribute with a default value.


Line range hint 168-182: LGTM! Good handling of P1 smartmeter entity IDs.

The code maintains backward compatibility by properly switching entity IDs between gateway and smartmeter. The logic is clear and well-documented.


527-527: LGTM! Proper gateway check for actuator mode.

The code correctly verifies both the ADAM smile type and gateway ID before proceeding.


568-568: LGTM! Proper gateway check for outdoor temperature.

The code correctly verifies both the thermostat presence and gateway ID before proceeding.

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Actionable comments posted: 0

♻️ Duplicate comments (1)
plugwise/smile.py (1)

264-264: ⚠️ Potential issue

Add error handling for missing gateway_id.

The code assumes gateway_id exists in _smile_props. Add proper error handling to prevent KeyError exceptions.

-        uri = f"{APPLIANCES};id={self._smile_props['gateway_id']}/gateway_mode_control"
+        gateway_id = self._smile_props.get("gateway_id")
+        if gateway_id is None:
+            raise PlugwiseError("Gateway ID not found in smile properties")
+        uri = f"{APPLIANCES};id={gateway_id}/gateway_mode_control"
🧹 Nitpick comments (2)
.github/workflows/merge.yml (1)

20-20: LGTM! Consider documenting version choice and maintenance strategy.

The change from ubuntu-latest to ubuntu-22.04 improves build reproducibility by using a fixed environment. This aligns well with the standardization across workflow files.

Consider:

  1. Adding a comment explaining why Ubuntu 22.04 was chosen
  2. Establishing a periodic review process to evaluate when to upgrade to newer Ubuntu LTS versions
  3. Documenting this maintenance strategy in your contributing guidelines

Would you like me to help draft this documentation?

plugwise/helper.py (1)

626-630: Add type hints to cooling-related docstrings.

While the docstrings provide clear explanations, consider adding type hints to improve code maintainability:

-    """# Anna+Elga: base cooling_state on the elga-status-code.
+    """# Anna+Elga: base cooling_state on the elga-status-code -> None.

     For Elga, 'elga_status_code' in (8, 9) means cooling is enabled.
     'elga_status_code' = 8 means cooling is active, 9 means idle.
     """

-    """Loria/Thermastage: base cooling-related on cooling_state and modulation_level.
+    """Loria/Thermastage: base cooling-related on cooling_state and modulation_level -> None.

     For the Loria or Thermastage heatpump connected to an Anna cooling-enabled is
     indicated via the Cooling Enable switch in the Plugwise App.
     """

Also applies to: 652-656

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📒 Files selected for processing (7)
  • .github/workflows/codeql-analysis.yml (1 hunks)
  • .github/workflows/merge.yml (1 hunks)
  • .github/workflows/verify.yml (11 hunks)
  • plugwise/helper.py (9 hunks)
  • plugwise/legacy/smile.py (6 hunks)
  • plugwise/smile.py (8 hunks)
  • pyproject.toml (1 hunks)
✅ Files skipped from review due to trivial changes (2)
  • .github/workflows/codeql-analysis.yml
  • .github/workflows/verify.yml
🚧 Files skipped from review as they are similar to previous changes (1)
  • pyproject.toml
🔇 Additional comments (8)
plugwise/helper.py (2)

80-82: LGTM! Consistent gateway ID handling.

The changes improve consistency in gateway ID handling by:

  1. Using proper Python naming convention with underscore prefix
  2. Maintaining backward compatibility in P1 smartmeter handling

Also applies to: 168-168, 181-182, 255-256


450-452: Previous suggestion to enhance error handling still applies.

A previous review already suggested improving the error handling and logging structure for notifications processing.

plugwise/legacy/smile.py (3)

43-44: LGTM! Constructor changes align with PR objectives.

The addition of _request and _smile_props parameters, along with their corresponding instance variables, effectively supports the consolidation of data into a single dictionary.

Also applies to: 53-53, 55-55, 63-64


101-101: LGTM! Method signature and implementation changes are consistent.

The return type change to dict[str, GwEntityData] and the consistent use of _request align with the PR objectives.

Also applies to: 126-126, 129-129, 131-131, 140-140


300-300: LGTM! Consistent use of _request.

The method correctly uses the private _request parameter, maintaining consistency with other changes.

plugwise/smile.py (3)

52-52: LGTM! Constructor changes are consistent with legacy API.

The addition of _request and _smile_props parameters, along with their corresponding instance variables, maintains consistency with the legacy API changes.

Also applies to: 54-54, 63-64, 74-74, 76-76


114-114: LGTM! Method signature and implementation changes are consistent.

The return type change to dict[str, GwEntityData] and the use of _smile_props for accessing gateway properties align with the PR objectives.

Also applies to: 126-136, 140-140


466-466: LGTM! Consistent use of _request.

The method correctly uses the private _request parameter, maintaining consistency with other changes.

@bouwew bouwew force-pushed the smile_props branch 2 times, most recently from 8645336 to 3964fc4 Compare January 25, 2025 15:20
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Quality Gate Failed Quality Gate failed

Failed conditions
2 Security Hotspots

See analysis details on SonarQube Cloud

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