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import csv |
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from typing import Optional, Dict, List, Tuple |
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from kerapu import clean_code, LEN_SPECIALISME_CODE, LEN_ZORG_TYPE_CODE, clean_str, clean_date |
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class ZorgType: |
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""" |
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Klasse voor zorgtypen. |
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""" |
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# ------------------------------------------------------------------------------------------------------------------ |
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__zorg_type_tabel: Dict[Tuple[str, str], List[Dict[str, str]]] = {} |
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""" |
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De zorgtypen referentietabel. |
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""" |
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# ------------------------------------------------------------------------------------------------------------------ |
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def __init__(self, specialisme_code: str, zorg_type_code: str): |
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""" |
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Object constructor. |
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:param str specialisme_code: De code van het uitvoerend specialisme. |
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:param str zorg_type_code: De code van deze zorgtype. |
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""" |
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self.__specialisme_code: str = clean_code(specialisme_code, LEN_SPECIALISME_CODE) |
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""" |
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De code van het uitvoerend specialisme. |
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""" |
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self.__zorg_type_code: str = clean_code(zorg_type_code, LEN_ZORG_TYPE_CODE) |
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""" |
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De code van deze zorgtype. |
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""" |
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# ------------------------------------------------------------------------------------------------------------------ |
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@staticmethod |
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def init_static(folder: str) -> None: |
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""" |
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Initialiseert alle statistische data. |
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:param str folder: De folder met alle goupertabellen. |
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""" |
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ZorgType.__lees_zorg_type_tabel(folder) |
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# ------------------------------------------------------------------------------------------------------------------ |
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def __get_zorg_type_referentie(self, datum: str) -> Optional[dict]: |
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""" |
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Zoekt de referentie data voor deze zorg_type in de zorgtype referentietabel. |
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:param datum: De begindatum van het subtraject. |
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:rtype: dict[str,str] |
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""" |
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if (self.__specialisme_code, self.__zorg_type_code) in self.__zorg_type_tabel: |
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for referentie in self.__zorg_type_tabel[(self.__specialisme_code, self.__zorg_type_code)]: |
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if referentie['begin_datum'] <= datum <= referentie['eind_datum']: |
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# Een geldige referentie rij gevonden. |
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return referentie |
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# Er is geen geldige referentie rij gevonden. |
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return None |
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else: |
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return None |
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# ------------------------------------------------------------------------------------------------------------------ |
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def zorg_type_attribute_aantal(self, zorg_type_attribute_code: str, datum: str) -> int: |
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""" |
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Geeft het aantal malen (d.w.z. 0 of 1) data deze diagnose voldoet aan een (specialismecode, zorgtypecode) |
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combinatie op een peildatum. |
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:param str zorg_type_attribute_code: De attribuutcode voor (specialismecode, diagnosecode) combinatie. |
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:param str datum: De peildatum. |
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:rtype: int |
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""" |
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referentie = self.__get_zorg_type_referentie(datum) |
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if not referentie: |
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# De diagnose komt niet voor in de referentie tabel. Geef 0 terug. |
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return 0 |
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if referentie['zorg_type_attribuut_code'] == zorg_type_attribute_code: |
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return 1 |
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return 0 |
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# ------------------------------------------------------------------------------------------------------------------ |
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def zorg_type_cluster_aantal(self, cluster_code: str, cluster_nummer: int, datum: str) -> int: |
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""" |
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Geeft het aantal malen (d.w.z. 0 of 1) dat deze zorgtype voorkomt in een zorgtypecluster op een peildatum. |
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:param str cluster_code: De zorgtypeclustercode. |
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:param int cluster_nummer: Het clusternummer (0..2). |
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:param str datum: De peildatum. |
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:rtype: int |
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""" |
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referentie = self.__get_zorg_type_referentie(datum) |
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if not referentie: |
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# Deze zorgtype komt niet voor in de referentie tabel. Geef 0 terug. |
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return 0 |
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if cluster_nummer == 0: |
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return 1 |
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if 1 <= cluster_nummer <= 2: |
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if referentie['zorg_type_cluster%d' % cluster_nummer] == cluster_code: |
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# Deze zorgtype komt voor in het zorgtype cluster. |
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return 1 |
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return 0 |
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raise RuntimeError("Onbekend clusternummer %d." % cluster_nummer) |
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# ------------------------------------------------------------------------------------------------------------------ |
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@staticmethod |
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def __lees_zorg_type_tabel(folder: str) -> None: |
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""" |
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Leest de zorg_type referentietabel (opgeslagen in CSV). |
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:param str folder: De folder met alle goupertabellen. |
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""" |
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with open(folder + '/ZorgTypen.csv', 'r', encoding='utf-8') as csv_file: |
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reader = csv.reader(csv_file) |
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regel_nummer = 0 |
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for regel in reader: |
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regel_nummer += 1 |
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# Sla de eerste regel met koppen over. |
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if regel_nummer == 1: |
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continue |
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specialisme_code = clean_code(regel[0], LEN_SPECIALISME_CODE) |
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zorg_type_code = clean_code(regel[1], LEN_ZORG_TYPE_CODE) |
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zorg_type_attribuut_code = clean_str(regel[3]) |
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zorg_type_cluster01 = clean_str(regel[4]) |
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zorg_type_cluster02 = clean_str(regel[5]) |
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begin_datum = clean_date(regel[6]) |
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eind_datum = clean_date(regel[7]) |
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sleutel = (specialisme_code, zorg_type_code) |
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rij = {'specialisme_code': specialisme_code, |
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'zorg_type_code': zorg_type_code, |
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'zorg_type_attribuut_code': zorg_type_attribuut_code, |
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'zorg_type_cluster1': zorg_type_cluster01, |
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'zorg_type_cluster2': zorg_type_cluster02, |
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'begin_datum': begin_datum, |
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'eind_datum': eind_datum} |
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if sleutel not in ZorgType.__zorg_type_tabel: |
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ZorgType.__zorg_type_tabel[sleutel] = [] |
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ZorgType.__zorg_type_tabel[sleutel].append(rij) |
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print("Aantal zorgtypen: %d" % (regel_nummer - 1)) |
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# ---------------------------------------------------------------------------------------------------------------------- |
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