mwings.parsers.app_uart_ascii Module

Parsers for packets sent from the serial communication app (format mode: simplified).

Parsers for packets sent from the serial communication app (format mode: simplified) and data structures to store their contents.

src/mwings/parsers/app_uart_ascii.py

`PacketParser`

Static class parser that interprets packets representing data sent from the serial communication app (format mode: simplified).

Inherits: common.PacketParserBase

Members inherited from the base class are listed.

`is_valid()`

is_valid(bare_packet)

Checks whether the given bare packet is valid.

Parameters

Name	Type	Description
`bare_packet`	`common.BarePacket`	Raw packet data

Returns

Type	Value	Description
`bool`	`True`	Valid, can be parsed
	`False`	Invalid, cannot be parsed

`parse()`

parse(bare_packet)

Parses the given bare packet.

Parameters

Name	Type	Description
`bare_packet`	`common.BarePacket`	Raw packet data

Returns

Type	Value	Description
`optional ParsedPacket`	An instance of `ParsedPacket`	Parsed data
	`None`	Cannot parse

`ParsedPacket`

Structure to hold the results of parsing packets representing data sent from the serial communication app (format mode: simplified).

Inherits: common.ParsedPacketBase

Members inherited from the base class are also listed.

`ParsedPacket()`

ParsedPacket(*, time_parsed=None, packet_type=PacketType.BARE, sequence_number=None, source_serial_id=0, source_logical_id=0, lqi=None, supply_voltage=None, command_id=0, data=b'')

Parameters

Including inherited properties.

Name	Type	Description
`time_parsed`	`optional AwareDatetime`	Parsing timestamp
`packet_type`	`common.PacketType`	Packet type
`sequence_number`	`optional common.UInt16`	Not obtainable, always `None`
`source_serial_id`	`common.UInt32`	Source serial ID
`source_logical_id`	`common.UInt8`	Source logical device ID
`lqi`	`optional common.UInt8`	Not obtainable, always `None`
`supply_voltage`	`optional common.UInt16`	Not obtainable, always `None`
`command_id`	`common.UInt8`	Command ID
`data`	`bytes`	Data

You can also pass a dictionary unpacked with **.

In addition to the constructor arguments, the following @computed_field are available:

Name	Type	Description
`mwings_implementation`	`str`	MWings implementation (`"python"` only)
`mwings_version`	`str`	MWings version (PEP440 format)
`hostname`	`str`	Host machine name
`system_type`	`str`	System type (e.g., `"Linux"`)
`data_base64`	`str`	Base64 representation of the data
`data_hexstr`	`str`	Hexadecimal string representation of the data

data is not included in JSON etc. Please use data_base64 or data_hexstr.

Applied field_validator

source_logical_id: Automatically validates the value range
- check_source_logical_id(lid)
time_parsed: Automatically validates that a timezone is attached
- datetime_must_be_clear(dt)
sampling_frequency: Validates the value
- check_sampling_frequency(freq)
data: Automatically validates length
- check_data(data)

Applied field_serializer

packet_type: Serializes enum name as is into JSON etc.
- serialize_packet_type(packet_type)
source_serial_id: Serializes as hex string into JSON etc.
- serialize_source_serial_id(source_serial_id)
time_parsed: Serializes as ISO 8601 string into JSON etc.
- serialize_time_parsed(dt)
``

`to_df()`

to_df(include=None, exclude=None, verbose=True)

Converts parsed data into a pandas DataFrame.

Parameters

Name	Type	Description
`include`	`optional set[str]`	Set of columns (members) to include in the DataFrame
`exclude`	`optional set[str]`	Set of columns (members) to exclude from the DataFrame
`verbose`	`bool`	Whether to include system information (only if other args are `None`)

Returns

Type	Value	Description
`pd.DataFrame`	-	Converted DataFrame

Exceptions

EnvironmentError if pandas is not installed

`to_dict()`

to_dict(include=None, exclude=None, verbose=True, spread=False, sort_keys=False)

Converts parsed data into a dictionary.

Parameters

Name	Type	Description
`include`	`optional set[str]`	Set of keys (members) to include in the dictionary
`exclude`	`optional set[str]`	Set of keys (members) to exclude from the dictionary
`verbose`	`bool`	Whether to include system information (only if other args are `None`)
`spread`	`bool`	Whether to split non-time-series list-like data
`sort_keys`	`bool`	Whether to sort keys

Returns

Type	Value	Description
`dict[str, Any]`	-	Converted dictionary

`to_json()`

to_json(include=None, exclude=None, verbose=True, spread=False, indent=2, sort_keys=False)

Converts parsed data into JSON format.

Parameters

Name	Type	Description
`include`	`optional set[str]`	Set of keys (members) to include in JSON
`exclude`	`optional set[str]`	Set of keys (members) to exclude from JSON
`verbose`	`bool`	Whether to include system information (only if other args are `None`)
`spread`	`bool`	Whether to split non-time-series list-like data
`indent`	`optional int`	Number of indentation spaces (`None` for no newlines)
`sort_keys`	`bool`	Whether to sort keys

Returns

Type	Value	Description
`str`	-	Converted JSON string

`model_*()`

In addition, you can use various methods of pydantic.BaseModel.