backend.pql_queries.declarative_queries

Queries that can be used to get log-skeleton related data from celonis.

Attributes

TableType
GraphType
ReturnGraphType

Functions

format_graph_and_table(→ ReturnGraphType)	Formats the DataFrame into a graph and table structure.
get_always_before_relation(→ ReturnGraphType)	Compute Always-Before summary using PQL.
get_always_after_relation(→ ReturnGraphType)	Compute Always-After summary using PQL.

Module Contents

type backend.pql_queries.declarative_queries.TableType = Dict[str, Any]

type backend.pql_queries.declarative_queries.GraphType = Dict[str, Any]

type backend.pql_queries.declarative_queries.ReturnGraphType = Dict[str, List[TableType] | List[GraphType]]

backend.pql_queries.declarative_queries.format_graph_and_table(curr_df: pandas.DataFrame) → ReturnGraphType

Formats the DataFrame into a graph and table structure.

Parameters:

curr_df (pd.DataFrame) – The DataFrame to format.

Returns:

A dictionary containing the formatted graph and table.

Return type:

ReturnGraphType

backend.pql_queries.declarative_queries.get_always_before_relation(celonis: backend.celonis_connection.celonis_connection_manager.CelonisConnectionManager) → ReturnGraphType

Compute Always-Before summary using PQL.

Parameters:

celonis (CelonisConnectionManager) – the celonis connection

Returns:

A dictionary containing the formatted graph and table.

Return type:

ReturnGraphType

backend.pql_queries.declarative_queries.get_always_after_relation(celonis: backend.celonis_connection.celonis_connection_manager.CelonisConnectionManager) → ReturnGraphType

Compute Always-After summary using PQL.

Parameters:

celonis (CelonisConnectionManager) – the celonis connection

Returns:

A dictionary containing the formatted graph and table.

Return type:

ReturnGraphType