Module utilities.hl7_utils

Parse HL7 data into pdf extractor schedule/demographic format.

Functions

def hl7_demo_preprocess(hl7_entries: collections.abc.Mapping[str, PDFLibProto]) ‑> tuple[list[dict[str, str]], list[str]]

Preprocess hl7 data files into expected DataFrameMatcher format.

Originally implemented for support of HL7 v2.3 data files from bluelakesolutions.com (now defunct).

Args

hl7_entries

mapping of file names to PDFLibProto objects containing the raw hl7 data

Returns

tuple of (list of dicts containing parsed hl7 data, list of static dates of service)

Classes

class ConcatTuple (source_keys: list[str], output_key: str, concat_func: collections.abc.Callable[[list[str | vStr]], str | vStr] = <function ConcatTuple.<lambda>>, keep_sources: bool = True)

Define fields in the raw output whose values should be concatenated under a new key in the final output.

Attributes

source_keys

list of keys in the raw output whose values should be concatenated

output_key

key under which the concatenated value should be stored

concat_func

function to apply to the concatenated values

keep_sources

whether to keep the source keys in the final output

Ancestors

• builtins.tuple

Instance variables

var concat_func : collections.abc.Callable[[list[str | vStr]], str | vStr]

Alias for field number 2

var keep_sources : bool

Alias for field number 3

var output_key : str

Alias for field number 1

var source_keys : list[str]

Alias for field number 0