Module phc.easy.audit_event
Expand source code
import pandas as pd
from phc.easy.frame import Frame
from phc.easy.abstract.fhir_service_patient_item import FhirServicePatientItem
class AuditEvent(FhirServicePatientItem):
@staticmethod
def table_name():
return "audit_event"
@staticmethod
def patient_key():
return "entity.reference.reference"
@staticmethod
def code_fields():
return ["source.type", "entity.lifecycle"]
@staticmethod
def transform_results(df: pd.DataFrame, **expand_args):
return Frame.expand(
df,
date_columns=[
*expand_args.get("date_columns", []),
"effectiveDateTime",
],
code_columns=[
*expand_args.get("code_columns", []),
"type",
"subtype",
],
custom_columns=[
*expand_args.get("custom_columns", []),
Frame.codeable_like_column_expander("agent"),
Frame.codeable_like_column_expander("source"),
Frame.codeable_like_column_expander("entity"),
],
)
@staticmethod
def get_count_by_patient():
raise ValueError("AuditEvent records are not exclusive to a patient.")
Classes
class AuditEvent
-
Provides an abstract class and/or static methods for retrieving items from a FSS table that relates to a patient
Expand source code
class AuditEvent(FhirServicePatientItem): @staticmethod def table_name(): return "audit_event" @staticmethod def patient_key(): return "entity.reference.reference" @staticmethod def code_fields(): return ["source.type", "entity.lifecycle"] @staticmethod def transform_results(df: pd.DataFrame, **expand_args): return Frame.expand( df, date_columns=[ *expand_args.get("date_columns", []), "effectiveDateTime", ], code_columns=[ *expand_args.get("code_columns", []), "type", "subtype", ], custom_columns=[ *expand_args.get("custom_columns", []), Frame.codeable_like_column_expander("agent"), Frame.codeable_like_column_expander("source"), Frame.codeable_like_column_expander("entity"), ], ) @staticmethod def get_count_by_patient(): raise ValueError("AuditEvent records are not exclusive to a patient.")
Ancestors
Static methods
def code_fields()
-
Inherited from:
FhirServicePatientItem
.code_fields
Returns the code keys (e.g. when searching for codes)
Expand source code
@staticmethod def code_fields(): return ["source.type", "entity.lifecycle"]
def get_codes(display_query: Optional[str] = None, sample_size: Optional[int] = None, exclude_meta_tag=True, **kwargs)
-
Inherited from:
FhirServicePatientItem
.get_codes
Find all codes …
def get_count(query_overrides: dict = {}, auth_args=<phc.easy.auth.Auth object>)
-
Inherited from:
FhirServicePatientItem
.get_count
Get the count for a given FSS query
def get_count_by_field(field: str, **kwargs)
-
Inherited from:
FhirServicePatientItem
.get_count_by_field
Count records by a given field …
def get_count_by_patient()
-
Inherited from:
FhirServicePatientItem
.get_count_by_patient
Count records by a given field …
Expand source code
@staticmethod def get_count_by_patient(): raise ValueError("AuditEvent records are not exclusive to a patient.")
def get_data_frame(all_results: bool = False, raw: bool = False, id: Optional[str] = None, ids: List[str] = [], patient_id: Optional[str] = None, patient_ids: List[str] = [], device_id: Optional[str] = None, device_ids: List[str] = [], page_size: Optional[int] = None, max_pages: Optional[int] = None, query_overrides: dict = {}, auth_args=<phc.easy.auth.Auth object>, ignore_cache: bool = False, expand_args: dict = {}, log: bool = False, term: Optional[dict] = None, terms: List[dict] = [], max_terms: int = 30000, code: Union[str, List[str], ForwardRef(None)] = None, display: Union[str, List[str], ForwardRef(None)] = None, system: Union[str, List[str], ForwardRef(None)] = None, code_fields: List[str] = [])
-
Inherited from:
FhirServicePatientItem
.get_data_frame
Retrieve records …
def patient_key()
-
Expand source code
@staticmethod def patient_key(): return "entity.reference.reference"
def table_name()
-
Inherited from:
FhirServicePatientItem
.table_name
Returns the FSS table name for retrieval
Expand source code
@staticmethod def table_name(): return "audit_event"
def transform_results(df: pandas.core.frame.DataFrame, **expand_args)
-
Inherited from:
FhirServicePatientItem
.transform_results
Transform data frame batch
Expand source code
@staticmethod def transform_results(df: pd.DataFrame, **expand_args): return Frame.expand( df, date_columns=[ *expand_args.get("date_columns", []), "effectiveDateTime", ], code_columns=[ *expand_args.get("code_columns", []), "type", "subtype", ], custom_columns=[ *expand_args.get("custom_columns", []), Frame.codeable_like_column_expander("agent"), Frame.codeable_like_column_expander("source"), Frame.codeable_like_column_expander("entity"), ], )