DataManager

Simplified data manager for handling data operations.

Attributes

attributedata_source

= self._initialize_data_source(db_type)

Functions

funcdatabase_exists(db_type) → tuple[bool, str]

Check if database exists without initializing it.

paramdb_typestr

Database type (e.g., "RUN_DATABASE", "ANALYSIS_OVERVIEW")

Returns

tuple

(exists, path_info) where path_info is the database path or dataset path

func__init__(self, db_type=None)

paramself

paramdb_typestr

= None

Returns

None

func_initialize_data_source(self, db_type)

Initialize the appropriate data source based on configuration.

paramself

paramdb_typestr

Returns

None

func_get_unique_columns(db_type) → list[str] | None

Get unique columns for a given database/table type.

paramdb_typestr

Table name (e.g., "RUN_DATABASE", "ANALYSIS_AREA_PER_LIPID")

Returns

list[str] | None

Column names that form the unique constraint, or None

funcload_data(self) → pd.DataFrame

paramself

Returns

pandas.pandas.DataFrame

funcsave_data(self, data, overwrite=False)

Save data - accepts single dict, list of dicts, or DataFrame.

paramself

paramdataUnion[Dict[str, Any], List[Dict[str, Any]], pd.DataFrame]

paramoverwritebool

= False

Returns

None

funcquery_data(self, conditions) → pd.DataFrame

paramself

paramconditionsDict[str, Any]

Returns

pandas.pandas.DataFrame

funcupdate_data(self, conditions, updates)

paramself

paramconditionsDict[str, Any]

paramupdatesT

Returns

None

funcdelete_data(self, conditions)

paramself

paramconditionsDict[str, Any]

Returns

None

funcgrab_column(self, column_name) → pd.Series

paramself

paramcolumn_namestr

Returns

pandas.pandas.Series

funcgrab_row(self, index) → pd.Series

paramself

paramindexint

Returns

pandas.pandas.Series

Attributes

Functions

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