Index
frequenz.data.microgrid ¤
Initialize the microgrid data module.
Classes¤
frequenz.data.microgrid.MicrogridConfig
dataclass
¤
Configuration of a microgrid.
Source code in frequenz/data/microgrid/config.py
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Attributes¤
Functions¤
__init__ ¤
Initialize the microgrid configuration.
PARAMETER | DESCRIPTION |
---|---|
config_dict
|
Dictionary with component type as key and config as value. |
Source code in frequenz/data/microgrid/config.py
component_type_ids ¤
component_type_ids(
component_type: str,
component_category: str | None = None,
metric: str = "",
) -> list[int]
Get a list of all component IDs for a component type.
PARAMETER | DESCRIPTION |
---|---|
component_type
|
Component type to be aggregated.
TYPE:
|
component_category
|
Specific category of component IDs to retrieve (e.g., "meter", "inverter", or "component"). If not provided, the default logic is used.
TYPE:
|
metric
|
Metric name of the formula if CIDs should be extracted from the formula.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
list[int]
|
List of component IDs for this component type. |
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the component type is unknown. |
KeyError
|
If |
Source code in frequenz/data/microgrid/config.py
component_types ¤
formula ¤
Get the formula for a component type.
PARAMETER | DESCRIPTION |
---|---|
component_type
|
Component type to be aggregated.
TYPE:
|
metric
|
Metric to be aggregated.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
str
|
Formula to be used for this aggregated component as string. |
RAISES | DESCRIPTION |
---|---|
ValueError
|
If the component type is unknown or formula is missing. |
Source code in frequenz/data/microgrid/config.py
load_configs
staticmethod
¤
load_configs(
microgrid_config_files: (
str | Path | list[str | Path] | None
) = None,
microgrid_config_dir: str | Path | None = None,
) -> dict[str, MicrogridConfig]
Load multiple microgrid configurations from a file.
Configs for a single microgrid are expected to be in a single file. Later files with the same microgrid ID will overwrite the previous configs.
PARAMETER | DESCRIPTION |
---|---|
microgrid_config_files
|
Path to a single microgrid config file or list of paths. |
microgrid_config_dir
|
Directory containing multiple microgrid config files. |
RETURNS | DESCRIPTION |
---|---|
dict[str, MicrogridConfig]
|
Dictionary of single microgrid formula configs with microgrid IDs as keys. |
RAISES | DESCRIPTION |
---|---|
ValueError
|
If no config files or dir is provided, or if no config files are found. |
Source code in frequenz/data/microgrid/config.py
frequenz.data.microgrid.MicrogridData ¤
Fetch power data for component types of a microgrid.
Source code in frequenz/data/microgrid/component_data.py
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Attributes¤
microgrid_configs
property
¤
microgrid_configs: dict[str, MicrogridConfig]
Return the microgrid configurations.
microgrid_ids
property
¤
Functions¤
__init__ ¤
__init__(
server_url: str,
auth_key: str,
sign_secret: str,
microgrid_configs: (
dict[str, MicrogridConfig] | None
) = None,
) -> None
Initialize microgrid data.
PARAMETER | DESCRIPTION |
---|---|
server_url
|
URL of the reporting service.
TYPE:
|
auth_key
|
Authentication key to the service.
TYPE:
|
sign_secret
|
Secret for signing requests.
TYPE:
|
microgrid_configs
|
MicrogridConfig dict mapping microgrid IDs to MicrogridConfigs.
TYPE:
|
Source code in frequenz/data/microgrid/component_data.py
ac_active_power
async
¤
ac_active_power(
*,
microgrid_id: int,
start: datetime,
end: datetime,
component_types: tuple[str, ...] = (
"grid",
"pv",
"battery",
),
resampling_period: timedelta = timedelta(seconds=10),
keep_components: bool = False,
splits: bool = False,
unit: str = "kW"
) -> DataFrame | None
Power data for component types of a microgrid.
Source code in frequenz/data/microgrid/component_data.py
metric_data
async
¤
metric_data(
*,
microgrid_id: int,
start: datetime,
end: datetime,
component_types: tuple[str, ...] = (
"grid",
"pv",
"battery",
),
resampling_period: timedelta = timedelta(seconds=10),
metric: str = "AC_ACTIVE_POWER",
keep_components: bool = False,
splits: bool = False
) -> DataFrame | None
Power data for component types of a microgrid.
PARAMETER | DESCRIPTION |
---|---|
microgrid_id
|
Microgrid ID.
TYPE:
|
start
|
Start timestamp.
TYPE:
|
end
|
End timestamp.
TYPE:
|
component_types
|
List of component types to be aggregated. |
resampling_period
|
Data resampling period. |
metric
|
Metric to be fetched.
TYPE:
|
keep_components
|
Include individual components in output.
TYPE:
|
splits
|
Include columns for positive and negative power values for components.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
DataFrame | None
|
DataFrame with power data of aggregated components |
DataFrame | None
|
or None if no data is available |
Source code in frequenz/data/microgrid/component_data.py
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|
soc
async
¤
soc(
*,
microgrid_id: int,
start: datetime,
end: datetime,
resampling_period: timedelta = timedelta(seconds=10),
keep_components: bool = False
) -> DataFrame | None
Soc data for component types of a microgrid.
Source code in frequenz/data/microgrid/component_data.py
frequenz.data.microgrid.StatefulDataFetcher ¤
A helper class to handle fetching of microgrid component data.
This class provides methods to query new data for a specific microgrid and its components, and to write the updated data to a temporary file. The file is written only temporarily and needs to be committed or rolled back in case of success or failure, respectively.
Source code in frequenz/data/microgrid/_stateful_data_fetcher.py
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Functions¤
__init__ ¤
__init__(
microgrid_data: MicrogridData,
data_buffer_dir: Path,
resampling_period: timedelta,
end_time_delta: timedelta = END_TIME_DELTA,
initial_period: timedelta = timedelta(hours=1),
) -> None
Initialize the TransactionalDataExport class.
PARAMETER | DESCRIPTION |
---|---|
microgrid_data
|
An instance of MicrogridData to query data from.
TYPE:
|
data_buffer_dir
|
The path to the directory for buffering data.
TYPE:
|
resampling_period
|
The period to resample the data.
TYPE:
|
end_time_delta
|
The time subtracted from now to be passed as end_time to the API.
TYPE:
|
initial_period
|
The initial period to use for the first data fetch. |
Source code in frequenz/data/microgrid/_stateful_data_fetcher.py
commit ¤
Commit the temporary files to their final locations.
Source code in frequenz/data/microgrid/_stateful_data_fetcher.py
receive_microgrid_data
async
¤
receive_microgrid_data(
microgrid_id: int,
components: tuple[str, ...],
metric: str,
) -> DataFrame | None
Query new microgrid data and write the updated buffer to a temp file.
Reads the last timestamp from the main buffer file, queries for new data, and writes the combined data to a new temporary buffer file.
PARAMETER | DESCRIPTION |
---|---|
microgrid_id
|
The ID of the microgrid to query.
TYPE:
|
components
|
The component types to include in the query. |
metric
|
The metric to query.
TYPE:
|
RETURNS | DESCRIPTION |
---|---|
DataFrame | None
|
A pandas DataFrame with only the new data points, or None. |
Source code in frequenz/data/microgrid/_stateful_data_fetcher.py
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|
rollback ¤
Rollback the temporary files if the transaction fails.