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} # FTP diff --git a/pysus/ftp/__init__.py b/pysus/ftp/__init__.py index 52d86f72..eb22d87e 100644 --- a/pysus/ftp/__init__.py +++ b/pysus/ftp/__init__.py @@ -4,7 +4,7 @@ import pathlib from datetime import datetime from ftplib import FTP -from typing import Any, Dict, List, Optional, Set, Union +from typing import Any, Dict, List, Optional, Set, Union, Self import humanize from aioftp import Client @@ -16,6 +16,9 @@ "PYSUS_CACHEPATH", os.path.join(str(pathlib.Path.home()), "pysus") ) +__cachepath__ = pathlib.Path(CACHEPATH) +__cachepath__.mkdir(exist_ok=True) + def to_list(ite: Any) -> list: """Parse any builtin data type into a list""" @@ -48,6 +51,7 @@ class File: extension: str basename: str path: str + # parent: Directory # TODO: This causes too much overhead __info__: Set[Union[int, str, datetime]] def __init__(self, path: str, name: str, info: dict) -> None: @@ -60,6 +64,12 @@ def __init__(self, path: str, name: str, info: dict) -> None: if path.endswith("/") else path + "/" + self.basename ) + ppath = self.path.replace(self.basename, "") + self.parent_path = ( + ppath[:-1] + if ppath.endswith("/") + else ppath + ) self.__info__ = info def __str__(self) -> str: @@ -119,7 +129,7 @@ def download(self, local_dir: str = CACHEPATH, _pbar=None) -> Data: _pbar.set_description(f"{self.basename}") try: - ftp = ftp = FTP("ftp.datasus.gov.br") + ftp = FTP("ftp.datasus.gov.br") ftp.login() output = open(f"{filepath}", "wb") @@ -327,7 +337,7 @@ def content(self): def load(self): """ - The content of a Directory must be explicity loaded + The content of a Directory must be explicitly loaded """ self.__content__ |= load_path(self.path) self.loaded = True @@ -340,6 +350,27 @@ def reload(self): self.loaded = False return self.load() + def is_parent(self, other: Union[Self, File]) -> bool: + """ + Checks if Directory or File is inside (or at any subdir) of self. + """ + if self.path == "/": + return True + + target = other + while target.path != "/": + + if self.path == target.path: + return True + + if isinstance(other, File): + # TODO: Implement parent logic on File (too much overhead) + target = Directory(other.parent_path) + else: + target = target.parent + + return False + CACHE["/"] = Directory("/") @@ -444,7 +475,7 @@ def __repr__(self) -> str: def content(self) -> List[Union[Directory, File]]: """ Lists Database content. The `paths` will be loaded if this property is - called or if explicty using `load()`. To add specific Directory inside + called or if explicitly using `load()`. To add specific Directory inside content, `load()` the directory and call `content` again. """ if not self.__content__: diff --git a/pysus/ftp/databases/ciha.py b/pysus/ftp/databases/ciha.py new file mode 100644 index 00000000..6948f3c9 --- /dev/null +++ b/pysus/ftp/databases/ciha.py @@ -0,0 +1,97 @@ +from typing import List, Union, Optional + +from pysus.ftp import Database, Directory, File +from pysus.ftp.utils import zfill_year, to_list, parse_UFs, UFs, MONTHS + + +class CIHA(Database): + name = "CIHA" + paths = (Directory("/dissemin/publicos/CIHA/201101_/Dados")) + metadata = { + "long_name": "Comunicação de Internação Hospitalar e Ambulatorial", + "source": "http://ciha.datasus.gov.br/CIHA/index.php", + "description": ( + "A CIHA foi criada para ampliar o processo de planejamento, programação, " + "controle, avaliação e regulação da assistência à saúde permitindo um " + "conhecimento mais abrangente e profundo dos perfis nosológico e " + "epidemiológico da população brasileira, da capacidade instalada e do " + "potencial de produção de serviços do conjunto de estabelecimentos de saúde " + "do País. O sistema permite o acompanhamento das ações e serviços de saúde " + "custeados por: planos privados de assistência à saúde; planos públicos; " + "pagamento particular por pessoa física; pagamento particular por pessoa " + "jurídica; programas e projetos federais (PRONON, PRONAS, PROADI); recursos " + "próprios das secretarias municipais e estaduais de saúde; DPVAT; gratuidade " + "e, a partir da publicação da Portaria GM/MS nº 2.905/2022, consórcios públicos. " + "As informações registradas na CIHA servem como base para o processo de " + "Certificação de Entidades Beneficentes de Assistência Social em Saúde (CEBAS) " + "e para monitoramento dos programas PRONAS e PRONON." + ), + } + groups = { + "CIHA": "Comunicação de Internação Hospitalar e Ambulatorial", + } + + def describe(self, file: File): + if not isinstance(file, File): + return file + + if file.extension.upper() in [".DBC", ".DBF"]: + group, _uf, year, month = self.format(file) + + try: + uf = UFs[_uf] + except KeyError: + uf = _uf + + description = { + "name": str(file.basename), + "group": self.groups[group], + "uf": uf, + "month": MONTHS[int(month)], + "year": zfill_year(year), + "size": file.info["size"], + "last_update": file.info["modify"], + } + + return description + return file + + def format(self, file: File) -> tuple: + group, _uf = file.name[:4].upper(), file.name[4:6].upper() + year, month = file.name[-4:-2], file.name[-2:] + return group, _uf, zfill_year(year), month + + def get_files( + self, + uf: Optional[Union[List[str], str]] = None, + year: Optional[Union[list, str, int]] = None, + month: Optional[Union[list, str, int]] = None, + group: Union[List[str], str] = "CIHA", + ) -> List[File]: + files = list(filter( + lambda f: f.extension.upper() in [".DBC", ".DBF"], self.files + )) + + groups = [gr.upper() for gr in to_list(group)] + + if not all(gr in list(self.groups) for gr in groups): + raise ValueError( + "Unknown CIHA Group(s): " + f"{set(groups).difference(list(self.groups))}" + ) + + files = list(filter(lambda f: self.format(f)[0] in groups, files)) + + if uf: + ufs = parse_UFs(uf) + files = list(filter(lambda f: self.format(f)[1] in ufs, files)) + + if year or str(year) in ["0", "00"]: + years = [zfill_year(str(m)[-2:]) for m in to_list(year)] + files = list(filter(lambda f: self.format(f)[2] in years, files)) + + if month: + months = [str(y)[-2:].zfill(2) for y in to_list(month)] + files = list(filter(lambda f: self.format(f)[3] in months, files)) + + return files diff --git a/pysus/ftp/databases/cnes.py b/pysus/ftp/databases/cnes.py index 6436cd0a..d4086812 100644 --- a/pysus/ftp/databases/cnes.py +++ b/pysus/ftp/databases/cnes.py @@ -56,7 +56,8 @@ def load( group in self.groups for group in [gr.upper() for gr in groups] ): raise ValueError( - f"Unknown CNES group(s): {set(groups).difference(self.groups)}" + "Unknown CNES group(s): " + f"{set(groups).difference(self.groups)}" ) for group in groups: @@ -68,17 +69,26 @@ def load( self.__loaded__.add(directory.name) return self - def describe(self, file: File): + def describe(self, file: File) -> dict: if not isinstance(file, File): - return file + return {} + + if file.name == "GMufAAmm": + # Leftover + return {} if file.extension.upper() in [".DBC", ".DBF"]: group, _uf, year, month = self.format(file) + try: + uf = UFs[_uf] + except KeyError: + uf = _uf + description = { "name": str(file.basename), "group": self.groups[group], - "uf": UFs[_uf], + "uf": uf, "month": MONTHS[int(month)], "year": zfill_year(year), "size": file.info["size"], @@ -86,7 +96,7 @@ def describe(self, file: File): } return description - return file + return {} def format(self, file: File) -> tuple: group, _uf = file.name[:2].upper(), file.name[2:4].upper() diff --git a/pysus/ftp/databases/pni.py b/pysus/ftp/databases/pni.py new file mode 100644 index 00000000..9faac7b2 --- /dev/null +++ b/pysus/ftp/databases/pni.py @@ -0,0 +1,94 @@ +from typing import List, Union, Optional, Literal + +from pysus.ftp import Database, Directory, File +from pysus.ftp.utils import zfill_year, to_list, parse_UFs, UFs + + +class PNI(Database): + name = "PNI" + paths = ( + Directory("/dissemin/publicos/PNI/DADOS"), + ) + metadata = { + "long_name": "Sistema de Informações do Programa Nacional de Imunizações", + "source": ( + "https://datasus.saude.gov.br/acesso-a-informacao/morbidade-hospitalar-do-sus-sih-sus/", + "https://datasus.saude.gov.br/acesso-a-informacao/producao-hospitalar-sih-sus/", + ), + "description": ( + "O SI-PNI é um sistema desenvolvido para possibilitar aos gestores " + "envolvidos no Programa Nacional de Imunização, a avaliação dinâmica " + "do risco quanto à ocorrência de surtos ou epidemias, a partir do " + "registro dos imunobiológicos aplicados e do quantitativo populacional " + "vacinado, agregados por faixa etária, período de tempo e área geográfica. " + "Possibilita também o controle do estoque de imunobiológicos necessário " + "aos administradores que têm a incumbência de programar sua aquisição e " + "distribuição. Controla as indicações de aplicação de vacinas de " + "imunobiológicos especiais e seus eventos adversos, dentro dos Centros " + "de Referências em imunobiológicos especiais." + ), + } + groups = { + "CPNI": "Cobertura Vacinal", # TODO: may be incorrect + "DPNI": "Doses Aplicadas", # TODO: may be incorrect + } + + def describe(self, file: File) -> dict: + if file.extension.upper() in [".DBC", ".DBF"]: + group, _uf, year = self.format(file) + + try: + uf = UFs[_uf] + except KeyError: + uf = _uf + + description = { + "name": file.basename, + "group": self.groups[group], + "uf": uf, + "year": zfill_year(year), + "size": file.info["size"], + "last_update": file.info["modify"], + } + + return description + return {} + + def format(self, file: File) -> tuple: + + if len(file.name) != 8: + raise ValueError(f"Can't format {file.name}") + + n = file.name + group, _uf, year = n[:4], n[4:6], n[-2:] + return group, _uf, zfill_year(year) + + def get_files( + self, + group: Union[list, Literal["CNPI", "DPNI"]], + uf: Optional[Union[List[str], str]] = None, + year: Optional[Union[list, str, int]] = None, + ) -> List[File]: + files = list(filter( + lambda f: f.extension.upper() in [".DBC", ".DBF"], self.files + )) + + groups = [gr.upper() for gr in to_list(group)] + + if not all(gr in list(self.groups) for gr in groups): + raise ValueError( + "Unknown PNI Group(s): " + f"{set(groups).difference(list(self.groups))}" + ) + + files = list(filter(lambda f: self.format(f)[0] in groups, files)) + + if uf: + ufs = parse_UFs(uf) + files = list(filter(lambda f: self.format(f)[1] in ufs, files)) + + if year or str(year) in ["0", "00"]: + years = [zfill_year(str(m)[-2:]) for m in to_list(year)] + files = list(filter(lambda f: self.format(f)[2] in years, files)) + + return files diff --git a/pysus/ftp/databases/sia.py b/pysus/ftp/databases/sia.py index 87f33b39..7f846c46 100644 --- a/pysus/ftp/databases/sia.py +++ b/pysus/ftp/databases/sia.py @@ -6,10 +6,10 @@ class SIA(Database): name = "SIA" - paths = [ + paths = ( Directory("/dissemin/publicos/SIASUS/199407_200712/Dados"), Directory("/dissemin/publicos/SIASUS/200801_/Dados"), - ] + ) metadata = { "long_name": "Sistema de Informações Ambulatoriais", "source": "http://sia.datasus.gov.br/principal/index.php", @@ -41,8 +41,8 @@ class SIA(Database): "IMPBO": "", # TODO "PA": "Produção Ambulatorial", "PAM": "", # TODO - "PAR": "", # TODO - "PAS": "", # TODO + "PAR": "", # TODO + "PAS": "", # TODO "PS": "RAAS Psicossocial", "SAD": "RAAS de Atenção Domiciliar", } @@ -51,10 +51,15 @@ def describe(self, file: File) -> dict: if file.extension.upper() == ".DBC": group, _uf, year, month = self.format(file) + try: + uf = UFs[_uf] + except KeyError: + uf = _uf + description = { "name": str(file.basename), "group": self.groups[group], - "uf": UFs[_uf], + "uf": uf, "month": MONTHS[int(month)], "year": zfill_year(year), "size": file.info["size"], @@ -88,7 +93,8 @@ def get_files( if not all(gr in list(self.groups) for gr in groups): raise ValueError( - f"Unknown SIH Group(s): {set(groups).difference(list(self.groups))}" + "Unknown SIA Group(s): " + f"{set(groups).difference(list(self.groups))}" ) files = list(filter(lambda f: self.format(f)[0] in groups, files)) diff --git a/pysus/ftp/databases/sih.py b/pysus/ftp/databases/sih.py index 5f13d431..6e763b06 100644 --- a/pysus/ftp/databases/sih.py +++ b/pysus/ftp/databases/sih.py @@ -6,10 +6,10 @@ class SIH(Database): name = "SIH" - paths = [ + paths = ( Directory("/dissemin/publicos/SIHSUS/199201_200712/Dados"), Directory("/dissemin/publicos/SIHSUS/200801_/Dados"), - ] + ) metadata = { "long_name": "Sistema de Informações Hospitalares", "source": ( @@ -42,10 +42,15 @@ def describe(self, file: File) -> dict: if file.extension.upper() in [".DBC", ".DBF"]: group, _uf, year, month = self.format(file) + try: + uf = UFs[_uf] + except KeyError: + uf = _uf + description = { "name": file.basename, "group": self.groups[group], - "uf": UFs[_uf], + "uf": uf, "month": MONTHS[int(month)], "year": zfill_year(year), "size": file.info["size"], @@ -75,7 +80,8 @@ def get_files( if not all(gr in list(self.groups) for gr in groups): raise ValueError( - f"Unknown SIH Group(s): {set(groups).difference(list(self.groups))}" + f"Unknown SIH Group(s): " + f"{set(groups).difference(list(self.groups))}" ) files = list(filter(lambda f: self.format(f)[0] in groups, files)) diff --git a/pysus/ftp/databases/sim.py b/pysus/ftp/databases/sim.py index 4346b563..fb189727 100644 --- a/pysus/ftp/databases/sim.py +++ b/pysus/ftp/databases/sim.py @@ -6,24 +6,29 @@ class SIM(Database): name = "SIM" - paths = [ + paths = ( Directory("/dissemin/publicos/SIM/CID10/DORES"), Directory("/dissemin/publicos/SIM/CID9/DORES"), - ] + ) metadata = { "long_name": "Sistema de Informação sobre Mortalidade", "source": "http://sim.saude.gov.br", "description": "", } - groups = {"CID10": "DO", "CID9":"DOR"} + groups = {"CID10": "DO", "CID9": "DOR"} def describe(self, file: File) -> dict: group, _uf, year = self.format(file) - _groups = {v:k for k,v in self.groups.items()} + _groups = {v: k for k, v in self.groups.items()} + + try: + uf = UFs[_uf] + except KeyError: + uf = _uf description = { "name": str(file.basename), - "uf": UFs[_uf], + "uf": uf, "year": year, "group": _groups[group], "size": file.info["size"], diff --git a/pysus/ftp/databases/sinan.py b/pysus/ftp/databases/sinan.py index ac8dc9c0..8f2b146b 100644 --- a/pysus/ftp/databases/sinan.py +++ b/pysus/ftp/databases/sinan.py @@ -6,10 +6,10 @@ class SINAN(Database): name = "SINAN" - paths = [ + paths = ( Directory("/dissemin/publicos/SINAN/DADOS/FINAIS"), Directory("/dissemin/publicos/SINAN/DADOS/PRELIM"), - ] + ) metadata = { "long_name": "Doenças e Agravos de Notificação", "source": "https://portalsinan.saude.gov.br/", @@ -127,7 +127,8 @@ def get_files( if codes and not all(code in self.diseases for code in codes): raise ValueError( - f"Unknown disease(s): {set(codes).difference(set(self.diseases))}" + "Unknown disease(s): " + f"{set(codes).difference(set(self.diseases))}" ) files = list(filter(lambda f: self.format(f)[0] in codes, files)) diff --git a/pysus/ftp/databases/sinasc.py b/pysus/ftp/databases/sinasc.py index b947e1e3..2769c6c6 100644 --- a/pysus/ftp/databases/sinasc.py +++ b/pysus/ftp/databases/sinasc.py @@ -6,10 +6,10 @@ class SINASC(Database): name = "SINASC" - paths = [ + paths = ( Directory("/dissemin/publicos/SINASC/NOV/DNRES"), Directory("/dissemin/publicos/SINASC/ANT/DNRES"), - ] + ) metadata = { "long_name": "Sistema de Informações sobre Nascidos Vivos", "source": "http://sinasc.saude.gov.br/", @@ -24,15 +24,15 @@ def describe(self, file: File) -> dict: if file.extension.upper() == ".DBC": group, _uf, year = self.format(file) - if _uf == "EX": # DNEX2021.dbc - state = None - else: - state = UFs[_uf] + try: + uf = UFs[_uf] + except KeyError: + uf = _uf description = { "name": file.basename, "group": self.groups[group], - "uf": state, + "uf": uf, "year": year, "size": file.info["size"], "last_update": file.info["modify"], diff --git a/pysus/online_data/CIHA.py b/pysus/online_data/CIHA.py index 07404cdd..263fa62e 100644 --- a/pysus/online_data/CIHA.py +++ b/pysus/online_data/CIHA.py @@ -8,8 +8,34 @@ """ from typing import Union -from pysus.online_data import FTP_Downloader +from loguru import logger + +from pysus.ftp.databases.ciha import CIHA from pysus.ftp import CACHEPATH +from pysus.ftp.utils import parse_UFs + +ciha = CIHA().load() + + +def get_available_years( + states: Union[list, str] = None, +) -> dict[str:set[int]]: + """ + Fetch available years for the `states`. + :param states: UF code. E.g: "SP" or ["SP", "RJ"] + :return: list of years in integers + """ + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = ciha.get_files(uf=uf) + years[uf] = set(sorted([ciha.describe(f)["year"] for f in files])) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) def download( @@ -19,14 +45,12 @@ def download( data_dir: str = CACHEPATH, ) -> list: """ - Download CIHA records for state, year and month and returns dataframe + Download CIHA records for state, year and month and returns the Parquets + files as a list of PartquetData :param months: 1 to 12, can be a list :param states: 2 letter state code, :param years: 4 digit integer """ - return FTP_Downloader('CIHA').download( - UFs=states, - years=years, - months=months, - local_dir=data_dir, - ) + + files = ciha.get_files(uf=states, year=years, month=months) + return ciha.download(files, local_dir=data_dir) diff --git a/pysus/online_data/CNES.py b/pysus/online_data/CNES.py index 2bf78189..9f3b45cb 100644 --- a/pysus/online_data/CNES.py +++ b/pysus/online_data/CNES.py @@ -1,10 +1,15 @@ from typing import Union +from loguru import logger + from pysus.ftp.databases.cnes import CNES from pysus.ftp import CACHEPATH +from pysus.ftp.utils import parse_UFs + cnes = CNES().load() + group_dict = { 'LT': ['Leitos - A partir de Out/2005', 10, 2005], 'ST': ['Estabelecimentos - A partir de Ago/2005', 8, 2005], @@ -22,6 +27,44 @@ } +def get_available_years( + group: str, + states: Union[str, list] = None, +): + """ + Get CNES years for group and/or state and returns a + list of years + :param group: + LT – Leitos - A partir de Out/2005 + ST – Estabelecimentos - A partir de Ago/2005 + DC - Dados Complementares - A partir de Ago/2005 + EQ – Equipamentos - A partir de Ago/2005 + SR - Serviço Especializado - A partir de Ago/2005 + HB – Habilitação - A partir de Mar/2007 + PF – Profissional - A partir de Ago/2005 + EP – Equipes - A partir de Abr/2007 + IN – Incentivos - A partir de Nov/2007 + RC - Regra Contratual - A partir de Mar/2007 + EE - Estabelecimento de Ensino - A partir de Mar/2007 + EF - Estabelecimento Filantrópico - A partir de Mar/2007 + GM - Gestão e Metas - A partir de Jun/2007 + :param states: 2 letter state code, can be a list of UFs + """ + cnes.load(group) + + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = cnes.get_files(group, uf=uf) + years[uf] = sorted([cnes.describe(f)["year"] for f in files]) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) + + def download( group: str, states: Union[str, list], diff --git a/pysus/online_data/PNI.py b/pysus/online_data/PNI.py index a4ea05bc..a7e52256 100644 --- a/pysus/online_data/PNI.py +++ b/pysus/online_data/PNI.py @@ -1,37 +1,51 @@ """ Download data from the national immunization program """ -from typing import Union +from typing import Union, Literal -from pysus.online_data import FTP_Downloader, FTP_Inspect +from loguru import logger + +from pysus.ftp.databases.pni import PNI from pysus.ftp import CACHEPATH +from pysus.ftp.utils import parse_UFs + + +pni = PNI().load() + + +def get_available_years(group, states): + """ + Fetch available years for `group` and/or `months`. + :param group: PNI group, options are "CPNI" or "DPNI" + :param state: UF code, can be a list. E.g: "SP" or ["SP", "RJ"] + :return: list of available years + """ + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = pni.get_files(group, uf=uf) + years[uf] = set(sorted([pni.describe(f)["year"] for f in files])) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) def download( + group: Union[list, Literal["CNPI", "DPNI"]], states: Union[str, list], years: Union[str, list, int], data_dir: str = CACHEPATH, ) -> list: """ Download imunization records for a given States and years. - :param state: uf two letter code, can be a list - :param year: year in 4 digits, can be a list + :param group: PNI group, options are "CPNI" or "DPNI" + :param state: uf two letter code, can be a list. E.g: "SP" or ["SP", "RJ"] + :param year: year in 4 digits, can be a list. E.g: 1 or [1, 2, 3] :param data_dir: directory where data will be downloaded - :return: list of downloaded parquet paths - """ - return FTP_Downloader('PNI').download( - PNI_group='CPNI', UFs=states, years=years, local_dir=data_dir - ) - - -def get_available_years(state): - """ - Fetch available years (dbf names) for the `state`. - :param state: uf code - :return: list of strings (filenames) + :return: list of downloaded ParquetData """ - return FTP_Inspect('PNI').list_available_years(UF=state, PNI_group='CPNI') - - -def available_docs(): - return FTP_Inspect('PNI').list_all(PNI_group='CPNI') + files = pni.get_files(group, uf=states, year=years) + return pni.download(files, local_dir=data_dir) diff --git a/pysus/online_data/SIA.py b/pysus/online_data/SIA.py index af47de02..222b0c20 100644 --- a/pysus/online_data/SIA.py +++ b/pysus/online_data/SIA.py @@ -9,8 +9,11 @@ from pprint import pprint from typing import Dict, Tuple, Union +from loguru import logger + from pysus.ftp import CACHEPATH from pysus.ftp.databases.sia import SIA +from pysus.ftp.utils import parse_UFs sia = SIA().load() @@ -32,6 +35,41 @@ } +def get_available_years( + group: str, + states: Union[str, list] = None, +): + """ + Get SIA years for group and/or state and returns a list of years + :param group: + PA: Produção Ambulatorial (7, 1994) + BI: Boletim de Produção Ambulatorial individualizado (1, 2008) + AD: APAC de Laudos Diversos (1, 2008) + AM: APAC de Medicamentos (1, 2008) + AN: APAC de Nefrologia (1, 2008) + AQ: APAC de Quimioterapia (1, 2008) + AR: APAC de Radioterapia (1, 2008) + AB: APAC de Cirurgia Bariátrica (1, 2008) + ACF: APAC de Confecção de Fístula (1, 2008) + ATD: APAC de Tratamento Dialítico (1, 2008) + AMP: APAC de Acompanhamento Multiprofissional (1, 2008) + SAD: RAAS de Atenção Domiciliar (1, 2008) + PS: RAAS Psicossocial (1, 2008) + :param states: 2 letter state code, can be a list of UFs + """ + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = sia.get_files(group, uf=uf) + years[uf] = set(sorted([sia.describe(f)["year"] for f in files])) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) + + def show_datatypes(): pprint(group_dict) @@ -50,7 +88,7 @@ def download( :param months: 1 to 12, can be a list :param data_dir: whether to cache files locally. default is True :param group: SIA groups. For all groups, refer to `sia.groups` - :return: list of downloaded files + :return: list of downloaded ParquetData """ files = sia.get_files( group=groups, uf=states, year=years, month=months diff --git a/pysus/online_data/SIH.py b/pysus/online_data/SIH.py index 23454ca6..98f8ff31 100644 --- a/pysus/online_data/SIH.py +++ b/pysus/online_data/SIH.py @@ -6,12 +6,44 @@ """ from typing import Union +from loguru import logger + from pysus.ftp import CACHEPATH from pysus.ftp.databases.sih import SIH +from pysus.ftp.utils import parse_UFs sih = SIH().load() +def get_available_years( + group: str, + states: Union[str, list] = None, +) -> list: + """ + Get SIH years for group and/or state and returns a list of years + :param group: + RD: AIH Reduzida + RJ: AIH Rejeitada + ER: AIH Rejeitada com erro + SP: Serviços Profissionais + CH: Cadastro Hospitalar + CM: # TODO + :param states: 2 letter uf code, can be a list. E.g: "SP" or ["SP", "RJ"] + :return: list of available years + """ + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = sih.get_files(group, uf=uf) + years[uf] = set(sorted([sih.describe(f)["year"] for f in files])) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) + + def download( states: Union[str, list], years: Union[str, list, int], @@ -27,7 +59,7 @@ def download( :param groups: the groups of datasets to be downloaded. See `sih.groups` :param data_dir: Directory where parquets will be downloaded. - :return: list with the downloaded files + :return: list with the downloaded files as ParquetData objects """ files = sih.get_files( group=groups, uf=states, month=months, year=years diff --git a/pysus/online_data/SIM.py b/pysus/online_data/SIM.py index f01a65b2..6f7c2d02 100644 --- a/pysus/online_data/SIM.py +++ b/pysus/online_data/SIM.py @@ -13,11 +13,35 @@ from pysus.ftp import CACHEPATH from pysus.ftp.databases.sim import SIM +from pysus.ftp.utils import parse_UFs sim = SIM().load() +def get_available_years( + group: str, + states: Union[str, list] = None, +) -> list: + """ + Get SIH years for group and/or state and returns a list of years + :param group: CID9 or CID10 + :param states: 2 letter uf code, can be a list. E.g: "SP" or ["SP", "RJ"] + :return: list of available years + """ + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = sim.get_files(group, uf=uf) + years[uf] = set(sorted([sim.describe(f)["year"] for f in files])) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) + + def download( groups: Union[str, list], states: Union[str, list], diff --git a/pysus/online_data/SINAN.py b/pysus/online_data/SINAN.py index c19e860e..e209b9b9 100644 --- a/pysus/online_data/SINAN.py +++ b/pysus/online_data/SINAN.py @@ -20,7 +20,8 @@ def get_available_years(disease_code: str) -> list: :param disease_code: Disease code. See `SINAN.list_diseases` for valid codes :return: A list of DBC files from a specific disease found in the FTP Server. """ - return sinan.get_files(dis_code=disease_code) + files = sinan.get_files(dis_code=disease_code) + return sorted(list(set(sinan.describe(f)["year"] for f in files))) def download( diff --git a/pysus/online_data/SINASC.py b/pysus/online_data/SINASC.py new file mode 100644 index 00000000..ec09fa45 --- /dev/null +++ b/pysus/online_data/SINASC.py @@ -0,0 +1,55 @@ +""" +Download SINASC data from DATASUS FTP server +Created on 01/11/17 +by fccoelho +license: GPL V3 or Later +""" +from typing import Union + +from loguru import logger + +from pysus.ftp import CACHEPATH +from pysus.ftp.databases.sinasc import SINASC +from pysus.ftp.utils import parse_UFs + +sinasc = SINASC().load() + + +def get_available_years(group: str, states: Union[str, list[str]]) -> list: + """ + Get SINASC years for states + :param group: + "DN": "Declarações de Nascidos Vivos", + "DNR": "Dados dos Nascidos Vivos por UF de residência", + :param states: 2 letter UF code, can be a list. E.g: "SP" or ["SP", "RJ"] + :return: list of available years + """ + ufs = parse_UFs(states) + + years = dict() + for uf in ufs: + files = sinasc.get_files(group, uf=uf) + years[uf] = set(sorted([sinasc.describe(f)["year"] for f in files])) + + if len(set([len(v) for v in years.values()])) > 1: + logger.warning(f"Distinct years were found for UFs: {years}") + + return sorted(list(set.intersection(*map(set, years.values())))) + + +def download( + groups: Union[str, list], + states: Union[str, list], + years: Union[str, list, int], + data_dir: str = CACHEPATH, +) -> list: + """ + Downloads data directly from Datasus ftp server + :param groups: either DN, DNR or both + :param states: two-letter state identifier: MG == Minas Gerais, + can be a list + :param years: years to download + :return: list of downloaded files + """ + files = sinasc.get_files(groups, uf=states, year=years) + return sinasc.download(files, local_dir=data_dir) diff --git a/pysus/online_data/__init__.py b/pysus/online_data/__init__.py index a6da9663..827a8aad 100644 --- a/pysus/online_data/__init__.py +++ b/pysus/online_data/__init__.py @@ -3,763 +3,3 @@ by fccoelho license: GPL V3 or Later """ -import logging -import os -import re -import shutil -from datetime import datetime -from ftplib import FTP, error_perm -from itertools import product -from pathlib import Path, PosixPath -from typing import Union - -import pandas as pd -import pyarrow as pa -import pyarrow.parquet as pq -from dbfread import DBF -from pyreaddbc import dbc2dbf - -CACHEPATH = os.getenv( - "PYSUS_CACHEPATH", os.path.join(str(Path.home()), "pysus") -) - -# create pysus cache directory -if not os.path.exists(CACHEPATH): - os.mkdir(CACHEPATH) - - -DB_PATHS = { - "SINAN": [ - "/dissemin/publicos/SINAN/DADOS/FINAIS", - "/dissemin/publicos/SINAN/DADOS/PRELIM", - ], - "SIM": [ - "/dissemin/publicos/SIM/CID10/DORES", - "/dissemin/publicos/SIM/CID9/DORES", - ], - "SINASC": [ - "/dissemin/publicos/SINASC/NOV/DNRES", - "/dissemin/publicos/SINASC/ANT/DNRES", - ], - "SIH": [ - "/dissemin/publicos/SIHSUS/199201_200712/Dados", - "/dissemin/publicos/SIHSUS/200801_/Dados", - ], - "SIA": [ - "/dissemin/publicos/SIASUS/199407_200712/Dados", - "/dissemin/publicos/SIASUS/200801_/Dados", - ], - "PNI": ["/dissemin/publicos/PNI/DADOS"], - "CNES": ["dissemin/publicos/CNES/200508_/Dados"], - "CIHA": ["/dissemin/publicos/CIHA/201101_/Dados"], -} - - -def FTP_datasus(): - ftp = FTP("ftp.datasus.gov.br") - ftp.login() - return ftp - - -def cache_contents(): - """ - List the files currently cached in ~/pysus - :return: - """ - cached_data = os.listdir(CACHEPATH) - return [os.path.join(CACHEPATH, f) for f in cached_data] - - -def parquets_to_dataframe( - parquet_dir: str(PosixPath), clean_after_read=False -) -> pd.DataFrame: - """ - Receives a parquet directory path and returns it as a - dataframe, trying to clean white spaces and convert to - the correct data types. Can read only one parquet dir - at time. - """ - - parquets = list(map(str, Path(parquet_dir).glob("*.parquet"))) - - try: - chunks_list = [ - pd.read_parquet(str(f), engine="fastparquet") for f in parquets - ] - df = pd.concat(chunks_list, ignore_index=True) - - return _parse_dftypes(df) - - except Exception as e: - logging.error(e) - - finally: - if clean_after_read: - shutil.rmtree(parquet_dir) - logging.info(f"{parquet_dir} removed") - - -def _parse_dftypes(df: pd.DataFrame) -> pd.DataFrame: - """ - Parse DataFrame values, cleaning blank spaces if needed - and converting dtypes into correct types. - """ - - def map_column_func(column_names: list[str], func): - # Maps a function to each value in each column - columns = [c for c in df.columns if c in column_names] - df[columns] = df[columns].map(func) - - def str_to_int(string: str) -> Union[int, float]: - # If removing spaces, all characters are int, - # return int(value). @warning it removes in between - # spaces as wel - if str(string).replace(" ", "").isnumeric(): - return int(string.replace(" ", "")) - - def str_to_date(string: str) -> datetime.date: - if isinstance(string, str): - try: - return datetime.strptime(string, "%Y%m%d").date() - except Exception: - # Ignore errors, bad value - pass - - map_column_func(["DT_NOTIFIC", "DT_SIN_PRI"], str_to_date) - map_column_func(["CODMUNRES", "SEXO"], str_to_int) - - df = df.map( - lambda x: "" if str(x).isspace() else x - ) # Remove all space values - - df = df.convert_dtypes() - return df - - -def list_data_sources() -> str: - """ - List all databases supported by PySUS. - - If the databases directory is found, it lists the supported databases. - If the package for the databases modules is not found, it alerts that - no support for the databases was found and lists the - expected databases for implementation. - - Returns: - - A formatted string listing the supported databases or the - expected databases for implementation. - """ - - databases_directory = ( - Path(__file__).resolve(strict=True).parent.parent / "ftp" / "databases" - ) - - if databases_directory.exists(): - supported_databases = [ - file.stem.upper() - for file in databases_directory.glob("*.py") - if file.name != "__init__.py" - ] - - return f"""Currently, the supported databases are: { - ', '.join(sorted(supported_databases))}""" - else: - expected_databases = [ - "SINAN", - "SIM", - "SINASC", - "SIH", - "SIA", - "PNI", - "CNES", - "CIHA", - ] - - return f"""No support for the databases was found." - "Expected databases for implementation are: { - ', '.join(expected_databases)}""" - - -class FTP_Inspect: - """ - Databases: "SINAN", "SIM", "SINASC", "SIH", "SIA", "PNI", "CNES", "CIHA" - FTP_Inspect will focus mainly on enter in DataSUS ftp server - and list the DBCs or DBFs paths for a database according to - DB_PATH dict. Receives a Database as parameter. - - Methods - last_update_df: Returns a DataFrame with information of the last - update from a database (Legacy) . - - list_available_years: Lists years found for a Database. Some DBs - contain groups that are needed to be passed in. - - list_all: Will list all DBC or DBF urls found on the FTP server - for the Database. Groups may be also required. - """ - - database: str - _ds_paths: list - ftp_server: FTP = FTP("ftp.datasus.gov.br") - available_dbs: list = list(DB_PATHS.keys()) - - def __init__(self, database: str) -> None: - self.database = self.__checkdatabase__(database) - self._ds_paths = DB_PATHS[database] - - def __checkdatabase__(self, database): - if database not in self.available_dbs: - raise ValueError( - f"{database} not found" - f" available databases: {self.available_dbs}" - ) - return database - - def last_update_df(self) -> pd.DataFrame: # Legacy - """ - Return the date of last update from the database specified. - - Parameters - ---------- - database: Database to check - """ - if self.database not in DB_PATHS: - print( - f"Database {self.database} not supported try one of these" - "{list(DB_PATHS.keys())}" - ) - return pd.DataFrame() - - ftp = FTP_datasus() - response = { - "folder": [], - "date": [], - "file_size": [], - "file_name": [], - } - - def parse(line): - data = line.strip().split() - response["folder"].append(pth) - response["date"].append( - pd.to_datetime(" ".join([data[0], data[1]])) - ) - response["file_size"].append( - 0 if data[2] == "" else int(data[2]) - ) - response["file_name"].append(data[3]) - - for pth in DB_PATHS[self.database]: - ftp.cwd(pth) - flist = ftp.retrlines("LIST", parse) # NOQA F841 - - ftp.close() - return pd.DataFrame(response) - - def list_available_years( - self, - UF: str = None, - SINAN_disease: str = None, - CNES_group: str = None, - SIA_group: str = "PA", - PNI_group: str = "CPNI", - SIH_group: str = "RD", - ): - """ - Uses `list_all` and filters according to UF, disease (SINAN), - or Database group if group is required. - """ - available_years = set() - get_filename = ( - lambda x: str(x) - .split("/")[-1] - .upper() - .split(".DBC")[0] - .split(".DBF")[0] - ) # Trim url paths - - def list_years( - len_group: int, fslice: slice = slice(-2, None), **kwargs - ): - return [ - available_years.add(get_filename(path)[fslice]) - for path in self.list_all(**kwargs) - if UF in get_filename(path)[len_group:] - ] - - if UF is not None and len(UF) > 2: - raise ValueError("Use UF abbreviation. Eg: RJ") - - # SINAN - if self.database == "SINAN": - if not SINAN_disease: - raise ValueError("No disease assigned to SINAN_disease") - dis = FTP_SINAN(SINAN_disease) - available_years = dis.get_years(stage="all") - # SINASC - elif self.database == "SINASC": - list_years(2) - # SIH - elif self.database == "SIH": - list_years(len(SIH_group), slice(-4, -2), SIH_group=SIH_group) - - # SIA - elif self.database == "SIA": - list_years(len(SIA_group), slice(-4, -2), SIA_group=SIA_group) - # CNES - elif self.database == "CNES": - list_years(len(CNES_group), slice(-4, -2), CNES_group=CNES_group) - # PNI - elif self.database == "PNI": - list_years(len(PNI_group), PNI_group=PNI_group) - # CIHA - elif self.database == "CIHA": - list_years(4) - # SIM - elif self.database == "SIM": - dbcs = self.list_all() - available_years = set() - for path in dbcs: - if "/CID9/" in path: - available_years.add(get_filename(path)[-2:]) if str(path)[ - -8:-6 - ] == UF else None - elif "/CID10/" in path: - available_years.add(get_filename(path)[-2:]) if str(path)[ - -10:-8 - ] == UF else None - - # Normalize years to {year:04d} and return sorted - cur_year = str(datetime.now().year)[-2:] - bef_2000 = lambda yrs: [ # NOQA E731 - "19" + y for y in yrs if y > cur_year and y <= "99" - ] # NOQA F841 - aft_2000 = lambda yrs: [ # NOQA E731 - "20" + y for y in yrs if y <= cur_year and y >= "00" - ] - return sorted(bef_2000(available_years)) + sorted( - aft_2000(available_years) - ) - - def list_all( - self, - SINAN_disease: str = None, - CNES_group: str = None, - SIA_group: str = "PA", - PNI_group: str = "CPNI", - SIH_group: str = "RD", - ) -> list: - """ - Enters FTP server and lists all DBCs or DBFs files found for a - Database group. Some Database require groups and SINAN DB requires - a disease, more details can be found in their modules. - This method will be later used to download these files into parquets - chunks, to preserve memory, that are read using pandas and pyarrow. - """ - available_dbs = list() - ftp = FTP("ftp.datasus.gov.br") - ftp.login() - for path in self._ds_paths: - try: - # CNES - if self.database == "CNES": - if not CNES_group: - raise ValueError("No group assigned to CNES_group") - available_dbs.extend( - ftp.nlst(f"{path}/{CNES_group}/*.DBC") - ) - # SIA - elif self.database == "SIA": - if not SIA_group: - raise ValueError("No group assigned to SIA_group") - available_dbs.extend(ftp.nlst(f"{path}/{SIA_group}*.DBC")) - # SIH - elif self.database == "SIH": - if not SIH_group: - raise ValueError("No group assigned to SIH_group") - available_dbs.extend(ftp.nlst(f"{path}/{SIH_group}*.DBC")) - # PNI - elif self.database == "PNI": - if not PNI_group: - raise ValueError("No group assigned to PNI_group") - available_dbs.extend(ftp.nlst(f"{path}/{PNI_group}*.DBF")) - # SINAN - elif self.database == "SINAN": - if not SINAN_disease: - raise ValueError( - "No disease assigned to SINAN_disease" - ) - disease = FTP_SINAN(SINAN_disease) - available_dbs = disease.get_ftp_paths( - disease.get_years(stage="all") - ) - # SIM, SINASC - else: - available_dbs.extend( - ftp.nlst(f"{path}/*.DBC") # case insensitive - ) - except Exception as e: - raise e - ftp.close() - return available_dbs - - -class FTP_Downloader: - """ - Databases: "SINAN", "SIM", "SINASC", "SIH", "SIA", "PNI", "CNES", "CIHA" - FTP_Downloader will be responsible for fetching DBF and DBC files - into parquet chunks, according to a DataSUS Database (DB_PATHS). - The main function is `download`, each Database has its specific - url pattern, some may require a group or disease (SINAN), some may - not require a month, year nor UF. Independent the requirements, the - group is the only that won't accept to passed in as list. A local - directory can be set, default dir is CACHEPATH. - - Methods - download: Filters the files from the FTP Database according to its - specs (UFs, Years, Months, Disease &/or Group and local dir). - The parametes has to be set using their names in the function - with the equals sign. It will fetch a DBC or DBF file and parse - them into parquet chunks that will be read using pandas. - Example: - ciha = FTP_Downloader('CIHA') - ufs = ['RJ', 'AC'] - years = [2022, 2023] - months = [1, 2, 3] - ciha.download(UFs=ufs, years=years, months=months) - """ - - _ftp_db: FTP_Inspect - dbc_paths: list = None - cache_dir: str = CACHEPATH - - def __init__(self, database: str) -> None: - self._ftp_db = FTP_Inspect(database) - - def download( - self, - UFs: Union[str, list] = None, - years: Union[str, int, list] = None, - months: Union[str, int, list] = None, - SINAN_disease: str = None, - CNES_group: str = None, - SIA_group: str = "PA", - SIH_group: str = "RD", - PNI_group: str = "CPNI", - local_dir: str = cache_dir, - ) -> Union[tuple[str], str]: - dbc_paths = self._get_dbc_paths( - UFs=UFs, - years=years, - months=months, - SINAN_disease=SINAN_disease, - CNES_group=CNES_group, - SIA_group=SIA_group, - SIH_group=SIH_group, - PNI_group=PNI_group, - ) - data_dir = Path(local_dir) - - downloaded_parquets = [] - for path in dbc_paths: - - parquet_dir = data_dir / str(path).split("/")[-1].upper().replace( - ".DBC", ".parquet" - ) - - if Path(parquet_dir).exists(): - downloaded_parquets.append(str(parquet_dir)) - else: - local_filepath = self._extract_dbc(path, local_dir=local_dir) - parquet_dir = self._dbfc_to_parquets( - local_filepath, local_dir=local_dir - ) - downloaded_parquets.append(str(parquet_dir)) - return ( - downloaded_parquets[0] - if len(downloaded_parquets) == 1 - else tuple(downloaded_parquets) - ) - - def _get_dbc_paths( - self, - UFs: Union[str, list] = None, - years: Union[str, int, list] = None, - months: Union[str, int, list] = None, - SINAN_disease: str = None, - CNES_group: str = None, - SIA_group: str = "PA", - SIH_group: str = "RD", - PNI_group: str = "CPNI", - ) -> list: - parse_to_list = ( - lambda i: [i] if not isinstance(i, list) else i - ) # NOQA E731 - UFs = parse_to_list(UFs) - years = parse_to_list(years) - months = parse_to_list(months) - - db = self._ftp_db.database - list_files = self._ftp_db.list_all - if db == "SINAN": - all_dbcs = list_files(SINAN_disease=SINAN_disease) - sinan_dis = FTP_SINAN(SINAN_disease) - elif db == "CNES": - all_dbcs = list_files(CNES_group=CNES_group) - elif db == "SIA": - all_dbcs = list_files(SIA_group=SIA_group) - elif db == "SIH": - all_dbcs = list_files(SIH_group=SIH_group) - elif db == "PNI": - all_dbcs = list_files(PNI_group=PNI_group) - else: - all_dbcs = list_files() - - def url_regex( - month: str = None, year: str = None, UF: str = None - ) -> re.Pattern: - """ - Each url case is matched using regex patterns, mostly databases - have the same file pattern, but some discrepancies can be found, - for instance, lowercase UF and entire years and shortened years - at the same time. - """ - if db == "SINAN": - if not year: - raise ValueError("Missing year(s)") - file_pattern = re.compile( - f"{sinan_dis.code}BR{year}.dbc", re.I - ) - elif db == "SIM" or db == "SINASC": - if not year or not UF: - raise ValueError("Missing year(s) or UF(s)") - file_pattern = re.compile( - rf"[DON]+R?{UF}\d?\d?{year}.dbc", re.I - ) - elif db == "SIH": - if not year or not month or not UF: - raise ValueError("Missing year(s), month(s) or UF(s)") - file_pattern = re.compile( - rf"{SIH_group}{UF}{year}{month}.dbc", re.I - ) - elif db == "SIA": - if not year or not month or not UF: - raise ValueError("Missing year(s), month(s) or UF(s)") - file_pattern = re.compile( - rf"{SIA_group}{UF}{year}{month}[abc]?.dbc", re.I - ) - elif db == "PNI": - if not year or not UF: - raise ValueError("Missing year(s) or UF(s)") - file_pattern = re.compile(rf"{PNI_group}{UF}{year}.dbf", re.I) - elif db == "CNES": - if not year or not month or not UF: - raise ValueError("Missing year(s), month(s) or UF(s)") - file_pattern = re.compile( - rf"{CNES_group}/{CNES_group}{UF}{year}{month}.dbc", re.I - ) - elif db == "CIHA": - if not year or not month or not UF: - raise ValueError("Missing year(s), month(s) or UF(s)") - file_pattern = re.compile(rf"CIHA{UF}{year}{month}.dbc", re.I) - return file_pattern - - files = list() - for y, m, uf in product( - years or [], months or [], UFs or [] - ): # Allows None - norm = lambda y: str(y)[-2:].zfill(2) # NOQA E731 - regex = url_regex(year=norm(y), month=norm(m), UF=str(uf)) - filtered = list(filter(regex.search, all_dbcs)) - files.extend(filtered) - return files - - def _extract_dbc(self, DBC_path: str, local_dir: str = cache_dir) -> str: - """ - Enters in the FTP server and retrieve the DBC(F) path into - local machine. - """ - Path(local_dir).mkdir(exist_ok=True, parents=True) - filename = DBC_path.split("/")[-1] - filedir = DBC_path.replace(filename, "") - filepath = Path(local_dir) / filename - if Path(filepath).exists(): - return str(filepath) - try: - ftp = ftp = FTP("ftp.datasus.gov.br") - ftp.login() - ftp.cwd(filedir) - ftp.retrbinary( - f"RETR {filename}", - open(f"{filepath}", "wb").write, - ) - ftp.close() - return str(filepath) - except error_perm as e: - logging.error(f"Not able to download {filename}") - raise e - - def _dbfc_to_parquets(self, fpath: str, local_dir: str) -> str(PosixPath): - """DBC/DBF files to parquets using Pandas & PyArrow""" - db_path = Path(local_dir) / fpath - dbfile = str(db_path.absolute()).split("/")[-1] - if Path(dbfile).suffix in [".dbc", ".DBC"] and db_path.exists(): - outpath = f"{fpath[:-4]}.dbf" - try: - dbc2dbf(fpath, outpath) - if Path(fpath).exists(): - Path(fpath).unlink() - fpath = outpath - except Exception as e: - logging.error(e) - raise e - - parquet_dir = f"{fpath[:-4]}.parquet" - if Path(parquet_dir).exists() and any(os.listdir(parquet_dir)): - return parquet_dir - Path(parquet_dir).mkdir(exist_ok=True, parents=True) - - def decode_column(value): - # https://stackoverflow.com/questions/57371164/django-postgres-a-string-literal-cannot-contain-nul-0x00-characters - if isinstance(value, bytes): - return value.decode(encoding="iso-8859-1").replace("\x00", "") - elif isinstance(value, str): - return str(value).replace("\x00", "") - else: - return value - - for d in self._stream_DBF(DBF(fpath, encoding="iso-8859-1", raw=True)): - try: - df = pd.DataFrame(d) - table = pa.Table.from_pandas(df.map(decode_column)) - pq.write_to_dataset(table, root_path=parquet_dir) - - except Exception as e: - logging.error(e) - - if Path(fpath).exists(): - Path(fpath).unlink() - - return parquet_dir - - def _stream_DBF(self, dbf, chunk_size=30000): - """Fetches records in chunks to preserve memory""" - data = [] - i = 0 - for records in dbf: - data.append(records) - i += 1 - if i == chunk_size: - yield data - data = [] - i = 0 - else: - yield data - - -class FTP_SINAN: - name: str - diseases: dict = { - "Animais Peçonhentos": "ANIM", - "Botulismo": "BOTU", - "Cancer": "CANC", - "Chagas": "CHAG", - "Chikungunya": "CHIK", - "Colera": "COLE", - "Coqueluche": "COQU", - "Contact Communicable Disease": "ACBI", - "Acidentes de Trabalho": "ACGR", - "Dengue": "DENG", - "Difteria": "DIFT", - "Esquistossomose": "ESQU", - "Febre Amarela": "FAMA", - "Febre Maculosa": "FMAC", - "Febre Tifoide": "FTIF", - "Hanseniase": "HANS", - "Hantavirose": "HANT", - "Hepatites Virais": "HEPA", - "Intoxicação Exógena": "IEXO", - "Leishmaniose Visceral": "LEIV", - "Leptospirose": "LEPT", - "Leishmaniose Tegumentar": "LTAN", - "Malaria": "MALA", - "Meningite": "MENI", - "Peste": "PEST", - "Poliomielite": "PFAN", - "Raiva Humana": "RAIV", - "Sífilis Adquirida": "SIFA", - "Sífilis Congênita": "SIFC", - "Sífilis em Gestante": "SIFG", - "Tétano Acidental": "TETA", - "Tétano Neonatal": "TETN", - "Tuberculose": "TUBE", - "Violência Domestica": "VIOL", - "Zika": "ZIKA", - } - - def __init__(self, name: str) -> None: - self.name = self.__diseasecheck__(name) - ftp = FTP_datasus() - code = self.diseases[self.name] - self.finals = ftp.nlst(f"{DB_PATHS['SINAN'][0]}/{code}BR*.dbc") - self.prelims = ftp.nlst(f"{DB_PATHS['SINAN'][1]}/{code}BR*.dbc") - - def __diseasecheck__(self, name: str) -> str: - return ( - name - if name in self.diseases.keys() - else ValueError(f"{name} not found.") - ) - - def __repr__(self) -> str: - return f"SINAN Disease ({self.name})" - - def __str__(self) -> str: - return self.name - - @property - def code(self) -> str: - return self.diseases[self.name] - - def get_years(self, stage: str = "all") -> list: - """ - Returns the available years to download, if no stage - is assigned, it will return years from both finals and - preliminaries datasets. - stage (str): 'finais' | 'prelim' | 'all' - """ - - def extract_years(paths): - return [ - str(path).split("/")[-1].split(".dbc")[0][-2:] - for path in paths - ] - - prelim_years = extract_years(self.prelims) - finais_years = extract_years(self.finals) - - if stage == "prelim": - return sorted(prelim_years) - elif stage == "finais": - return sorted(finais_years) - return sorted(prelim_years + finais_years) - - def get_ftp_paths(self, years: list) -> list: - """ - Returns the FTP path available for years to download. - years (list): a list with years to download, if year - is not available, it won't be included - in the result - """ - prelim_paths = self.prelims - finais_paths = self.finals - all_paths = prelim_paths + finais_paths - ds_paths = list() - - def mask(_year): - return str(_year)[-2:].zfill(2) - - for year in years: - [ds_paths.append(path) for path in all_paths if mask(year) in path] - - return ds_paths diff --git a/pysus/online_data/sinasc.py b/pysus/online_data/sinasc.py deleted file mode 100644 index 9010e5f2..00000000 --- a/pysus/online_data/sinasc.py +++ /dev/null @@ -1,41 +0,0 @@ -""" -Download SINASC data from DATASUS FTP server -Created on 01/11/17 -by fccoelho -license: GPL V3 or Later -""" -from typing import Union - -from pysus.ftp import CACHEPATH -from pysus.ftp.databases.sinasc import SINASC - -sinasc = SINASC().load() - - -def download( - groups: Union[str, list], - states: Union[str, list], - years: Union[str, list, int], - data_dir: str = CACHEPATH, -) -> list: - """ - Downloads data directly from Datasus ftp server - :param groups: either DN, DNR or both - :param states: two-letter state identifier: MG == Minas Gerais, - can be a list - :param years: years to download - :return: list of downloaded files - """ - files = sinasc.get_files(groups, uf=states, year=years) - return sinasc.download(files, local_dir=data_dir) - - -def get_available_years(state): - years = list(set([f.name[-2:] for f in sinasc.files])) - files = set(sinasc.get_files(["DN", "DNR"], uf=state, year=years)) - - def sort_year(file): - _, year = sinasc.format(file) - return int(year) - - return sorted(files, key=sort_year) diff --git a/pysus/preprocessing/decoders.py b/pysus/preprocessing/decoders.py index 410d9f7a..664cab9b 100644 --- a/pysus/preprocessing/decoders.py +++ b/pysus/preprocessing/decoders.py @@ -119,7 +119,9 @@ def is_valid_geocode(geocodigo): def get_valid_geocodes(): tab_mun = get_municipios() df = tab_mun[(tab_mun["SITUACAO"] != "IGNOR")] - return df["MUNCODDV"].append(df["MUNCOD"]).astype("int64").values + return pd.concat( + [df["MUNCODDV"], df["MUNCOD"]], ignore_index=True + ).astype("int64").values def calculate_digit(geocode): @@ -270,7 +272,9 @@ def get_CID10_code_index(datasus_chapters): number_range_start = int(chapter_range[0][1:3]) number_range_finish = int(chapter_range[1][1:3]) for code in range(number_range_start, number_range_finish + 1): - code_index[f"{start_letter}{str(code).zfill(2)}"] = ch_array_index + 1 + code_index[ + f"{start_letter}{str(code).zfill(2)}" + ] = ch_array_index + 1 else: string_range_start = chapter_range[0][0] string_range_end = chapter_range[1][0] @@ -283,7 +287,8 @@ def get_CID10_code_index(datasus_chapters): if let_array_index == 0: number_range_start = int(chapter_range[0][1:3]) number_range_end = 99 - elif let_array_index == len(full_string_range) - 1: # Last array letter + # Last array letter + elif let_array_index == len(full_string_range) - 1: number_range_start = 0 number_range_end = int(chapter_range[1][1:3]) else: # Middle letters diff --git a/pysus/tests/test_SIA.py b/pysus/tests/test_SIA.py deleted file mode 100644 index 5eaf141f..00000000 --- a/pysus/tests/test_SIA.py +++ /dev/null @@ -1,20 +0,0 @@ -import unittest -import pytest - -import pandas as pd -from pysus.online_data.SIA import download -from pysus.online_data import parquets_to_dataframe as to_df - -class SIATestCase(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_large_PA(self): - res = to_df(download('SP', 2020, 12, group='PA')) - if isinstance(res, pd.DataFrame): - assert not res.empty - else: - pass - - -if __name__ == '__main__': - unittest.main() diff --git a/pysus/tests/test_cnes.py b/pysus/tests/test_cnes.py deleted file mode 100644 index 3f0faaa3..00000000 --- a/pysus/tests/test_cnes.py +++ /dev/null @@ -1,22 +0,0 @@ -import unittest -import pytest - -import pandas as pd - -from pysus.online_data.CNES import download -from pysus.online_data import parquets_to_dataframe as to_df - - -class CNESTestCase(unittest.TestCase): - @unittest.skip('Also fails in previous versions: unpack requires a buffer of 32 bytes') - def test_fetch_estabelecimentos(self): - df = to_df(download(group="ST", states="SP", years=2021, months=8)) - self.assertIsInstance(df, pd.DataFrame) - # self.assertEqual(True, False) # add assertion here - - @pytest.mark.timeout(5) - @pytest.mark.skip(reason="This test takes too long") - def test_fetch_equipamentos(self): - df = to_df(download(group="EQ", states="RO", years=2021, months=9)) - self.assertIsInstance(df, pd.DataFrame) - diff --git a/pysus/tests/test_data/test_PNI.py b/pysus/tests/test_data/test_PNI.py deleted file mode 100644 index f1a017e8..00000000 --- a/pysus/tests/test_data/test_PNI.py +++ /dev/null @@ -1,31 +0,0 @@ -import unittest -import pytest - -import pandas as pd - -from pysus.online_data.PNI import * -from pysus.online_data import parquets_to_dataframe - - -class PNITestCase(unittest.TestCase): - @pytest.mark.timeout(5) - def test_get_available_years(self): - res = get_available_years("AC") - self.assertIsInstance(res, list) - self.assertIn('2000', res) - - @pytest.mark.timeout(5) - def test_get_available_docs(self): - res = available_docs() - self.assertIsInstance(res, list) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download(self): - files = download("RO", 2000) - df = parquets_to_dataframe(files) - self.assertIsInstance(df, pd.DataFrame) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_data/test_ciha.py b/pysus/tests/test_data/test_ciha.py deleted file mode 100644 index 766f6b74..00000000 --- a/pysus/tests/test_data/test_ciha.py +++ /dev/null @@ -1,35 +0,0 @@ -__author__ = "fccoelho" - -import unittest -import pytest - -import pandas as pd - -from pysus.online_data.CIHA import download -from pysus.online_data import parquets_to_dataframe - -unittest.skip("too slow to run om travis") - - -class SIHTestCase(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_CIH(self): - files = download("mg", 2011, 7) - df = parquets_to_dataframe(files) - self.assertGreater(len(df), 0) - self.assertIn("DIAG_PRINC", df.columns) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_CIHA(self): - files = download("MG", 2013, 10) - df = parquets_to_dataframe(files) - self.assertGreater(len(df), 0) - self.assertIn("DIAG_PRINC", df.columns) - self.assertIsInstance(df, pd.DataFrame) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_data/test_sia.py b/pysus/tests/test_data/test_sia.py deleted file mode 100644 index 83b7739e..00000000 --- a/pysus/tests/test_data/test_sia.py +++ /dev/null @@ -1,79 +0,0 @@ -__author__ = "fccoelho" - -from pathlib import Path -import unittest -import pytest - -import pandas as pd -from pysus.online_data.SIA import download -from pysus.online_data import parquets_to_dataframe - -unittest.skip("too slow to run om travis") - - -class SIATestCase(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_after_2008(self): - parquerts = download("to", 2015, 12) - df = parquets_to_dataframe(parquerts) - self.assertIn("PA_CODUNI", df.columns) - self.assertIn("PA_GESTAO", df.columns) - self.assertIsInstance(df, pd.DataFrame) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_before_2008(self): - parquets = download("mg", 2005, 8) - # self.assertWarns(UserWarning) - df = parquets_to_dataframe(parquets) - self.assertIn("PA_CODUNI", df.columns) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - @unittest.expectedFailure - def test_download_before_1994(self): - file = download("RS", 1993, 12) - self.assertTrue(Path(file).exists()) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_one(self): - file = download("se", 2020, 10, group="PS") - df = parquets_to_dataframe(file) - self.assertIn("CNS_PAC", df.columns) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_many(self): - files = [] - groups = ["aq", "AM", "atd"] - for group in groups: - files.extend([download("PI", 2018, 3, group=group)]) - to_df = parquets_to_dataframe - df1, df2, df3 = to_df(files[0]), to_df(files[1]), to_df(files[2]) - self.assertIsInstance(df1, pd.DataFrame) - self.assertIsInstance(df2, pd.DataFrame) - self.assertIsInstance(df2, pd.DataFrame) - self.assertGreater(len(df1), 0) - self.assertGreater(len(df2), 0) - self.assertGreater(len(df3), 0) - self.assertIn("AP_CODUNI", df1.columns) - self.assertIn("AP_CODUNI", df2.columns) - self.assertIn("AP_CODUNI", df3.columns) - self.assertIn("AQ_CID10", df1.columns) - self.assertIn("AM_PESO", df2.columns) - self.assertIn("ATD_CARACT", df3.columns) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_missing(self): - dfs = parquets_to_dataframe(download("MS", 2006, 5)) - self.assertIsNotNone(dfs) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_data/test_sih.py b/pysus/tests/test_data/test_sih.py deleted file mode 100644 index eb356e0a..00000000 --- a/pysus/tests/test_data/test_sih.py +++ /dev/null @@ -1,26 +0,0 @@ -__author__ = "fccoelho" - -import unittest -import pytest - -import pandas as pd - -from pysus.online_data.SIH import download -from pysus.online_data import parquets_to_dataframe as to_df - -unittest.skip("too slow to run om travis") - - -class SIHTestCase(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download(self): - df = to_df(download("to", 2009, 12)) - df2 = to_df(download("AC", 2013, 10)) - self.assertGreater(len(df), 0) - self.assertGreater(len(df2), 0) - self.assertIsInstance(df, pd.DataFrame) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_data/test_sim.py b/pysus/tests/test_data/test_sim.py deleted file mode 100644 index 9c252537..00000000 --- a/pysus/tests/test_data/test_sim.py +++ /dev/null @@ -1,57 +0,0 @@ -__author__ = "fccoelho" - -import unittest -import pytest - -from pysus.online_data.SIM import ( - download, - get_CID9_table, - get_CID10_table, - get_municipios, - get_ocupations, -) -from pysus.online_data import parquets_to_dataframe as to_df - -class TestDownload(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_CID10(self): - df = to_df(download("ba", 2007)) - self.assertIn("IDADEMAE", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_CID9(self): - df = to_df(download("mg", 1987)) - self.assertIn("NECROPSIA", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.timeout(5) - def test_get_cid10(self): - df = get_CID10_table() - self.assertIn("CID10", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.timeout(5) - def test_get_cid9(self): - df = get_CID9_table() - self.assertIn("DESCRICAO", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_get_mun(self): - df = get_municipios() - self.assertIn("MUNCOD", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.timeout(5) - def test_get_ocup(self): - df = get_ocupations() - self.assertIn("CODIGO", df.columns) - self.assertGreater(len(df), 0) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_data/test_sinan.py b/pysus/tests/test_data/test_sinan.py deleted file mode 100644 index 3557bab4..00000000 --- a/pysus/tests/test_data/test_sinan.py +++ /dev/null @@ -1,168 +0,0 @@ -import pytest - -import datetime -import os -from pathlib import Path -import shutil -import unittest -from glob import glob -from pathlib import Path - -import numpy as np -import pandas as pd - -from pysus.online_data.SINAN import ( - download, - list_diseases, - metadata_df -) -from pysus.online_data import FTP_SINAN, parquets_to_dataframe -from pysus.preprocessing.sinan import read_sinan_dbf - -PATH_ROOT = Path(__file__).resolve().parent - - -class TestSINANClass(unittest.TestCase): - data_path = '/tmp/pysus' - d1 = 'Raiva Humana' - r1 = [ - 'RAIVBR07.parquet', - 'RAIVBR08.parquet', - 'RAIVBR09.parquet', - 'RAIVBR10.parquet', - 'RAIVBR11.parquet', - 'RAIVBR12.parquet', - 'RAIVBR13.parquet', - 'RAIVBR14.parquet', - 'RAIVBR15.parquet', - 'RAIVBR16.parquet', - 'RAIVBR17.parquet', - 'RAIVBR18.parquet', - 'RAIVBR19.parquet', - ] - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_list_all_diseases(self): - all_diseases = list(FTP_SINAN.diseases.keys()) - self.assertIn('Dengue', all_diseases) - self.assertIn('Zika', all_diseases) - self.assertIn('Chikungunya', all_diseases) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download(self): - files = download(self.d1, [7,8,9], data_path=self.data_path) - self.assertEqual(len(files), 3) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_read_dataframe(self): - df = parquets_to_dataframe(Path(self.data_path)/self.r1[0]) - self.assertIsInstance(df, pd.DataFrame) - self.assertEqual(df.shape, (110, 94)) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_metadata_dataframe(self): - df = metadata_df('Raiva Humana') - self.assertIsInstance(df, pd.DataFrame) - self.assertEqual(df.shape, (68, 7)) - - -class TestSINANDownload(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download(self): - df = parquets_to_dataframe(download(years=2007, disease='Botulismo')) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_filename_only(self): - fname = download(years=2015, disease='Botulismo') - self.assertIsInstance(fname, str) - self.assertTrue(os.path.exists(fname)) - shutil.rmtree(fname, ignore_errors=True) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_fetch_viol_dom(self): - df = parquets_to_dataframe(download(years=2011, disease='Hantavirose')) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_fetch_cancer_prelim(self): - df = parquets_to_dataframe(download(years=2022, disease='Cancer')) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_fetch_sifilis(self): - self.assertRaises( - Exception, download(years=2021, disease='Sífilis Adquirida') - ) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_fetch_sifilis_gestante(self): - df = parquets_to_dataframe(download(years=2021, disease='Sífilis em Gestante')) - self.assertIsInstance(df, pd.DataFrame) - - @pytest.mark.timeout(5) - def test_lista_agravos(self): - lista = list_diseases() - self.assertIsInstance(lista, dict) - self.assertGreater(len(lista), 0) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_chunked_df_size(self): - df1 = parquets_to_dataframe(download(years=2018, disease='Chikungunya')) - s1 = len(df1) - del df1 - fn = download(years=2018, disease='Chikungunya') - for i, f in enumerate(glob(f'{fn}/*.parquet')): - if i == 0: - df2 = pd.read_parquet(f) - else: - df2 = pd.concat([df2, pd.read_parquet(f)], ignore_index=True) - self.assertEqual(s1, df2.shape[0]) - shutil.rmtree(fn, ignore_errors=True) - - -class TestSinanDBF(unittest.TestCase): - dbf_name = PATH_ROOT / 'EPR-2016-06-01-2016.dbf' - - @pytest.mark.timeout(5) - def test_read_dbf(self): - df = read_sinan_dbf(self.dbf_name, encoding='latin-1') - self.assertTrue(self.dbf_name.exists()) - self.assertIsInstance(df, pd.DataFrame) - for cname in df.columns: - if cname.startswith('DT_'): - self.assertIsInstance(df[cname][0], datetime.date) - elif cname.startswith('SEM'): - self.assertLessEqual(df[cname][0], 52) - self.assertIsInstance(df[cname][0], (int, np.int64)) - elif cname.startswith(('NU', 'ID')): - if cname == 'ID_AGRAVO': - continue - self.assertIsInstance( - df[cname][0], - (int, float, np.int64), - msg='Failed on column {}, type:{}'.format( - cname, type(df[cname][0]) - ), - ) - - @pytest.mark.timeout(5) - def test_type_convertion(self): - df = read_sinan_dbf(self.dbf_name, encoding='latin-1') - self.assertTrue(self.dbf_name.exists()) - assert not all(df.dtypes == 'object') - - -if __name__ == '__main__': - unittest.main() diff --git a/pysus/tests/test_data/test_sinasc.py b/pysus/tests/test_data/test_sinasc.py deleted file mode 100644 index cf670a38..00000000 --- a/pysus/tests/test_data/test_sinasc.py +++ /dev/null @@ -1,33 +0,0 @@ -__author__ = "fccoelho" - -import unittest -import pytest - -from pysus.online_data.sinasc import download, get_available_years, sinasc -from pysus.online_data import parquets_to_dataframe as to_df - - -class TestDownload(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_new(self): - df = to_df(download("SE", 2015)) - self.assertIn("IDADEMAE", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_old(self): - df = to_df(download("AL", 1994)[0]) #[0] bc there is a file duplicity in the ftp sever - self.assertIn("IDADE_MAE", df.columns) - self.assertGreater(len(df), 0) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_get_available_years(self): - files = get_available_years("AC") - self.assertIn("1996", [sinasc.format(file)[1] for file in files]) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_decoders.py b/pysus/tests/test_decoders.py index 0458d2e0..adf2f433 100644 --- a/pysus/tests/test_decoders.py +++ b/pysus/tests/test_decoders.py @@ -12,7 +12,6 @@ import pandas as pd from numpy.testing import * -from pysus.online_data import parquets_to_dataframe as to_df from pysus.online_data.SIM import download, get_CID10_chapters_table from pysus.preprocessing import decoders from pysus.preprocessing.SIM import ( @@ -31,7 +30,7 @@ def get_CID10_code(index, code): class TestDecoder(unittest.TestCase): - @pytest.mark.timeout(5) + @pytest.mark.timeout(10) def test_decodifica_idade_retorna_em_anos(self): res = decoders.decodifica_idade_SINAN(4010, unidade="Y") self.assertEqual(res, 10) @@ -42,7 +41,7 @@ def test_decodifica_idade_retorna_em_anos(self): res = decoders.decodifica_idade_SINAN(1480, unidade="Y") self.assertAlmostEqual(res, 0.0547, places=3) - @pytest.mark.timeout(5) + @pytest.mark.timeout(10) def test_decodifica_lista_idades_retorna_em_anos(self): res = decoders.decodifica_idade_SINAN([4010] * 3, unidade="Y") assert_array_equal(res, np.array([10] * 3)) @@ -53,7 +52,7 @@ def test_decodifica_lista_idades_retorna_em_anos(self): res = decoders.decodifica_idade_SINAN([1480] * 5, unidade="Y") assert_array_almost_equal(res, np.array([0.0547] * 5), decimal=3) - @pytest.mark.timeout(5) + @pytest.mark.timeout(10) def test_decodifica_idade_retorna_em_anos_SIM(self): res = decoders.decodifica_idade_SIM(["501"], unidade="Y") assert_array_equal(res, np.array([101])) @@ -68,21 +67,21 @@ def test_decodifica_idade_retorna_em_anos_SIM(self): res = decoders.decodifica_idade_SIM(["010"] * 6, unidade="m") assert_array_almost_equal(res, np.array([10.0] * 6)) - @pytest.mark.timeout(5) + @pytest.mark.timeout(10) def test_verifica_geocodigo(self): self.assertTrue(decoders.is_valid_geocode(3304557)) - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) + @pytest.mark.timeout(60) def test_translate_variables(self): - df = to_df(download("sp", 2010)) + df = download(groups="cid10", states="sp", years=2010).to_dataframe() df = decoders.translate_variables_SIM(df) sex_array = set(df["SEXO"].unique().tolist()) assert sex_array <= set(["Masculino", "Feminino", "NA"]) raca_array = set(df["RACACOR"].unique().tolist()) - assert raca_array <= set(["Branca", "Preta", "Amarela", "nan", "Parda", "Indígena", "NA"]) + assert raca_array <= set( + ["Branca", "Preta", "Amarela", "nan", "Parda", "Indígena", "NA"]) - @pytest.mark.timeout(5) + @pytest.mark.timeout(60) def test_get_cid_chapter(self): code_index = decoders.get_CID10_code_index(get_CID10_chapters_table()) test_causes = pd.DataFrame( @@ -104,25 +103,27 @@ def test_get_cid_chapter(self): ] } ) - results = test_causes["causas"].map(lambda x: get_CID10_code(code_index, x)) - assert_array_equal(results, [1, 1, 2, -1, 3, 7, 7, 8, -1, 20, 20, -1, 22]) + results = test_causes["causas"].map( + lambda x: get_CID10_code(code_index, x) + ) + assert_array_equal( + results, [1, 1, 2, -1, 3, 7, 7, 8, -1, 20, 20, -1, 22]) - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) + @pytest.mark.timeout(60) def test_group_and_count(self): - df = to_df(download("se", 2010)) + df = download(groups="cid10", states="se", years=2010).to_dataframe() df = decoders.translate_variables_SIM(df) variables = ["CODMUNRES", "SEXO", "IDADE_ANOS"] counts = group_and_count(df, variables) sample = ( - counts[counts["COUNTS"] != 0]["COUNTS"].sample(20, random_state=0).tolist() + counts[counts["COUNTS"] != 0]["COUNTS"].sample( + 20, random_state=0).tolist() ) self.assertGreater(sum(sample), 0) @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) def test_redistribute(self): - df = to_df(download("sp", 2010)) + df = download(groups="cid10", states="sp", years=2010).to_dataframe() df = decoders.translate_variables_SIM( df, age_classes=True, classify_cid10_chapters=True ) @@ -136,16 +137,19 @@ def test_redistribute(self): assert_almost_equal(sum_original, sum_redistributed, 10) sample = ( - counts[counts["COUNTS"] != 0]["COUNTS"].sample(20, random_state=0).tolist() + counts[counts["COUNTS"] != 0]["COUNTS"].sample( + 20, random_state=0).tolist() ) assert len(sample) == 20 - counts = redistribute_cid_chapter(counts, ["CODMUNRES", "SEXO", "IDADE_ANOS"]) + counts = redistribute_cid_chapter( + counts, ["CODMUNRES", "SEXO", "IDADE_ANOS"]) sum_redistributed = counts["COUNTS"].sum() assert_almost_equal(sum_original, sum_redistributed, 10) sample = ( - counts[counts["COUNTS"] != 0]["COUNTS"].sample(20, random_state=0).tolist() + counts[counts["COUNTS"] != 0]["COUNTS"].sample( + 20, random_state=0).tolist() ) assert len(sample) == 20 diff --git a/pysus/tests/test_ftp/__init__.py b/pysus/tests/test_ftp/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pysus/tests/test_ftp/test_File.py b/pysus/tests/test_ftp/test_File.py new file mode 100644 index 00000000..83b22409 --- /dev/null +++ b/pysus/tests/test_ftp/test_File.py @@ -0,0 +1,63 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/12 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime +from pathlib import Path + +import pandas as pd + +from pysus.ftp import File, CACHEPATH +from pysus.data.local import ParquetSet + + +class TestFile(unittest.TestCase): + + def setUp(self): + path = "/dissemin/publicos/SIM/CID10/DORES/" + name = "DOAC1996.dbc" + info = { + "size": 76107, + "type": "file", + "modify": datetime.datetime(2020, 1, 31, 14, 48) + } + + self.file = File(path, name, info) + + def test_file_initialization(self): + file = self.file + + expected_path = "/dissemin/publicos/SIM/CID10/DORES/DOAC1996.dbc" + self.assertEqual(file.path, expected_path) + + self.assertEqual(file.name, "DOAC1996") + + self.assertEqual(file.extension, ".dbc") + + self.assertEqual(file.basename, "DOAC1996.dbc") + + expected_info = { + 'size': '76.1 kB', + 'type': 'DBC file', + 'modify': '2020-01-31 02:48PM' + } + self.assertEqual(file.info, expected_info) + + def test_file_download(self): + parquet = self.file.download() + + self.assertIsInstance(parquet, ParquetSet) + + self.assertTrue("size" in parquet.info) + + local_cache = Path(CACHEPATH) + expected_local_path = local_cache / "DOAC1996.parquet" + self.assertTrue(expected_local_path.exists()) + self.assertEqual(Path(str(parquet)), expected_local_path) + + df = parquet.to_dataframe() + self.assertIsInstance(df, pd.DataFrame) + self.assertFalse(df.empty) diff --git a/pysus/tests/test_ftp/test_databases/__init__.py b/pysus/tests/test_ftp/test_databases/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/pysus/tests/test_ftp/test_databases/test_CIHA.py b/pysus/tests/test_ftp/test_databases/test_CIHA.py new file mode 100644 index 00000000..f975732b --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_CIHA.py @@ -0,0 +1,94 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/12 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.ciha import CIHA +from pysus.ftp import File + + +class TestCIHADatabase(unittest.TestCase): + + def test_ciha(self): + mock_content = { + "CIHAAC1101.dbc": File( + path="/dissemin/publicos/CIHA/201101_/Dados/CIHAAC1101.dbc", + name="CIHAAC1101.dbc", + info={ + 'size': 7803, + 'type': 'file', + 'modify': datetime.datetime(2023, 10, 6, 10, 17) + } + ), + "CIHAAC1102.dbc": File( + path="/dissemin/publicos/CIHA/201101_/Dados/CIHAAC1102.dbc", + name="CIHAAC1102.dbc", + info={ + 'size': 9959, + 'type': 'file', + 'modify': datetime.datetime(2023, 10, 6, 10, 17) + } + ), + "CIHAAC1103.dbc": File( + path="/dissemin/publicos/CIHA/201101_/Dados/CIHAAC1103.dbc", + name="CIHAAC1103.dbc", + info={ + 'size': 8308, + 'type': 'file', + 'modify': datetime.datetime(2023, 10, 6, 10, 17) + } + ), + } + + with patch( + 'pysus.ftp.databases.ciha.CIHA', + return_value=MagicMock(__content__=mock_content) + ) as mock_ciha: + ciha = CIHA() + ciha.__content__ = mock_ciha().__content__ + + descriptions = [ciha.describe(file) for file in ciha.files] + expected_descriptions = [ + {'name': 'CIHAAC1101.dbc', + 'group': 'Comunicação de Internação Hospitalar e Ambulatorial', + 'uf': 'Acre', + 'month': 'Janeiro', + 'year': 2011, + 'size': '7.8 kB', + 'last_update': '2023-10-06 10:17AM'}, + {'name': 'CIHAAC1102.dbc', + 'group': 'Comunicação de Internação Hospitalar e Ambulatorial', + 'uf': 'Acre', + 'month': 'Fevereiro', + 'year': 2011, + 'size': '10.0 kB', + 'last_update': '2023-10-06 10:17AM'}, + {'name': 'CIHAAC1103.dbc', + 'group': 'Comunicação de Internação Hospitalar e Ambulatorial', + 'uf': 'Acre', + 'month': 'Março', + 'year': 2011, + 'size': '8.3 kB', + 'last_update': '2023-10-06 10:17AM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [ciha.format(file) for file in ciha.files] + expected_formats = [ + ('CIHA', 'AC', 2011, '01'), + ('CIHA', 'AC', 2011, '02'), + ('CIHA', 'AC', 2011, '03') + ] + self.assertEqual(formats, expected_formats) + + get_files = ciha.get_files( + uf='AC', year=2011, month=1 + ) + self.assertEqual(get_files, [ciha.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_CNES.py b/pysus/tests/test_ftp/test_databases/test_CNES.py new file mode 100644 index 00000000..9a03269e --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_CNES.py @@ -0,0 +1,92 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/12 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.cnes import CNES +from pysus.ftp import File + + +class TestCNESDatabase(unittest.TestCase): + + def test_cnes(self): + mock_content = { + "STAC0508.dbc": File( + path="/dissemin/publicos/CNES/200508_/Dados/ST/STAC0508.dbc", + name="STAC0508.dbc", + info={ + 'size': 18515, + 'type': 'file', + 'modify': datetime.datetime(2014, 6, 5, 9, 30) + } + ), + "STAC0509.dbc": File( + path="/dissemin/publicos/CNES/200508_/Dados/ST/STAC0509.dbc", + name="STAC0509.dbc", + info={ + 'size': 18713, + 'type': 'file', + 'modify': datetime.datetime(2014, 6, 5, 9, 30) + } + ), + "STAC0510.dbc": File( + path="/dissemin/publicos/CNES/200508_/Dados/ST/STAC0510.dbc", + name="STAC0510.dbc", + info={ + 'size': 17665, + 'type': 'file', + 'modify': datetime.datetime(2014, 6, 5, 9, 30) + } + ), + } + + with patch( + 'pysus.ftp.databases.cnes.CNES', + return_value=MagicMock(__content__=mock_content) + ) as mock_cnes: + cnes = CNES().load("ST") + cnes.__content__ = mock_cnes().__content__ + + descriptions = [cnes.describe(file) for file in cnes.files] + expected_descriptions = [ + {'name': 'STAC0508.dbc', + 'group': 'Estabelecimentos', + 'uf': 'Acre', + 'month': 'Agosto', + 'year': 2005, + 'size': '18.5 kB', + 'last_update': '2014-06-05 09:30AM'}, + {'name': 'STAC0509.dbc', + 'group': 'Estabelecimentos', + 'uf': 'Acre', + 'month': 'Setembro', + 'year': 2005, + 'size': '18.7 kB', + 'last_update': '2014-06-05 09:30AM'}, + {'name': 'STAC0510.dbc', + 'group': 'Estabelecimentos', + 'uf': 'Acre', + 'month': 'Outubro', + 'year': 2005, + 'size': '17.7 kB', + 'last_update': '2014-06-05 09:30AM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [cnes.format(file) for file in cnes.files] + expected_formats = [ + ('ST', 'AC', 2005, '08'), + ('ST', 'AC', 2005, '09'), + ('ST', 'AC', 2005, '10') + ] + self.assertEqual(formats, expected_formats) + + get_files = cnes.get_files(group='ST', uf='AC', year=2005, month=8) + self.assertEqual(get_files, [cnes.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_PNI.py b/pysus/tests/test_ftp/test_databases/test_PNI.py new file mode 100644 index 00000000..9fe1cdc3 --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_PNI.py @@ -0,0 +1,88 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/12 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.pni import PNI +from pysus.ftp import File + + +class TestPNIDatabase(unittest.TestCase): + + def test_pni(self): + mock_content = { + "CPNIAC00.DBF": File( + path="/dissemin/publicos/PNI/DADOS/CPNIAC00.DBF", + name="CPNIAC00.DBF", + info={ + 'size': 14843, + 'type': 'file', + 'modify': datetime.datetime(2019, 5, 23, 17, 19) + } + ), + "CPNIAC01.DBF": File( + path="/dissemin/publicos/PNI/DADOS/CPNIAC01.DBF", + name="CPNIAC01.DBF", + info={ + 'size': 14843, + 'type': 'file', + 'modify': datetime.datetime(2019, 5, 23, 16, 39) + } + ), + "CPNIAC02.DBF": File( + path="/dissemin/publicos/PNI/DADOS/CPNIAC02.DBF", + name="CPNIAC02.DBF", + info={ + 'size': 14843, + 'type': 'file', + 'modify': datetime.datetime(2019, 5, 23, 16, 39) + } + ), + } + + with patch( + 'pysus.ftp.databases.pni.PNI', + return_value=MagicMock(__content__=mock_content) + ) as mock_pni: + pni = PNI() + pni.__content__ = mock_pni().__content__ + + descriptions = [pni.describe(file) for file in pni.files] + expected_descriptions = [ + {'name': 'CPNIAC00.DBF', + 'group': 'Cobertura Vacinal', + 'uf': 'Acre', + 'year': 2000, + 'size': '14.8 kB', + 'last_update': '2019-05-23 05:19PM'}, + {'name': 'CPNIAC01.DBF', + 'group': 'Cobertura Vacinal', + 'uf': 'Acre', + 'year': 2001, + 'size': '14.8 kB', + 'last_update': '2019-05-23 04:39PM'}, + {'name': 'CPNIAC02.DBF', + 'group': 'Cobertura Vacinal', + 'uf': 'Acre', + 'year': 2002, + 'size': '14.8 kB', + 'last_update': '2019-05-23 04:39PM'} + ] + self.assertEqual(descriptions, expected_descriptions) + + formats = [pni.format(file) for file in pni.files] + expected_formats = [ + ('CPNI', 'AC', 2000), + ('CPNI', 'AC', 2001), + ('CPNI', 'AC', 2002) + ] + self.assertEqual(formats, expected_formats) + + get_files = pni.get_files(group='CPNI', uf='AC', year=2000) + self.assertEqual(get_files, [pni.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_SIA.py b/pysus/tests/test_ftp/test_databases/test_SIA.py new file mode 100644 index 00000000..efa28253 --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_SIA.py @@ -0,0 +1,94 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/11 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.sia import SIA +from pysus.ftp import File + + +class TestSIADatabase(unittest.TestCase): + + def test_sia(self): + mock_content = { + "ABDF1112.dbc": File( + path="/dissemin/publicos/SIASUS/200801_/Dados/ABDF1112.dbc", + name="ABDF1112.dbc", + info={ + 'size': 2971, + 'type': 'file', + 'modify': datetime.datetime(2019, 3, 12, 12, 3) + } + ), + "ABMG1112.dbc": File( + path="/dissemin/publicos/SIASUS/200801_/Dados/ABMG1112.dbc", + name="ABMG1112.dbc", + info={ + 'size': 3183, + 'type': 'file', + 'modify': datetime.datetime(2019, 3, 12, 12, 3) + } + ), + "ABOAC1502.dbc": File( + path="/dissemin/publicos/SIASUS/200801_/Dados/ABOAC1502.dbc", + name="ABOAC1502.dbc", + info={ + 'size': 3143, + 'type': 'file', + 'modify': datetime.datetime(2016, 9, 12, 8, 45) + } + ), + } + + with patch( + 'pysus.ftp.databases.sia.SIA', + return_value=MagicMock(__content__=mock_content) + ) as mock_sia: + sia = SIA() + sia.__content__ = mock_sia().__content__ + + descriptions = [sia.describe(file) for file in sia.files] + expected_descriptions = [ + {'name': 'ABDF1112.dbc', + 'group': 'APAC de Cirurgia Bariátrica', + 'uf': 'Distrito Federal', + 'month': 'Dezembro', + 'year': 2011, + 'size': '3.0 kB', + 'last_update': '2019-03-12 12:03PM'}, + {'name': 'ABMG1112.dbc', + 'group': 'APAC de Cirurgia Bariátrica', + 'uf': 'Minas Gerais', + 'month': 'Dezembro', + 'year': 2011, + 'size': '3.2 kB', + 'last_update': '2019-03-12 12:03PM'}, + {'name': 'ABOAC1502.dbc', + 'group': 'APAC de Acompanhamento Pós Cirurgia Bariátrica', + 'uf': 'Acre', + 'month': 'Fevereiro', + 'year': 2015, + 'size': '3.1 kB', + 'last_update': '2016-09-12 08:45AM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [sia.format(file) for file in sia.files] + expected_formats = [ + ('AB', 'DF', 2011, '12'), + ('AB', 'MG', 2011, '12'), + ('ABO', 'AC', 2015, '02') + ] + self.assertEqual(formats, expected_formats) + + get_files = sia.get_files( + group='AB', uf='DF', year=2011, month=12 + ) + self.assertEqual(get_files, [sia.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_SIH.py b/pysus/tests/test_ftp/test_databases/test_SIH.py new file mode 100644 index 00000000..e044c755 --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_SIH.py @@ -0,0 +1,94 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/11 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.sih import SIH +from pysus.ftp import File + + +class TestSIHDatabase(unittest.TestCase): + + def test_sih(self): + mock_content = { + "CHBR1901.dbc": File( + path="/dissemin/publicos/SIHSUS/200801_/Dados/CHBR1901.dbc", + name="CHBR1901.dbc", + info={ + 'size': 196476, + 'type': 'file', + 'modify': datetime.datetime(2020, 3, 10, 14, 43) + } + ), + "CHBR1902.dbc": File( + path="/dissemin/publicos/SIHSUS/200801_/Dados/CHBR1902.dbc", + name="CHBR1902.dbc", + info={ + 'size': 196287, + 'type': 'file', + 'modify': datetime.datetime(2020, 3, 10, 14, 43) + } + ), + "CHBR1903.dbc": File( + path="/dissemin/publicos/SIHSUS/200801_/Dados/CHBR1903.dbc", + name="CHBR1903.dbc", + info={ + 'size': 196081, + 'type': 'file', + 'modify': datetime.datetime(2020, 3, 10, 14, 43) + } + ), + } + + with patch( + 'pysus.ftp.databases.sih.SIH', + return_value=MagicMock(__content__=mock_content) + ) as mock_sih: + sih = SIH() + sih.__content__ = mock_sih().__content__ + + descriptions = [sih.describe(file) for file in sih.files] + expected_descriptions = [ + {'name': 'CHBR1901.dbc', + 'group': 'Cadastro Hospitalar', + 'uf': 'Brasil', + 'month': 'Janeiro', + 'year': 2019, + 'size': '196.5 kB', + 'last_update': '2020-03-10 02:43PM'}, + {'name': 'CHBR1902.dbc', + 'group': 'Cadastro Hospitalar', + 'uf': 'Brasil', + 'month': 'Fevereiro', + 'year': 2019, + 'size': '196.3 kB', + 'last_update': '2020-03-10 02:43PM'}, + {'name': 'CHBR1903.dbc', + 'group': 'Cadastro Hospitalar', + 'uf': 'Brasil', + 'month': 'Março', + 'year': 2019, + 'size': '196.1 kB', + 'last_update': '2020-03-10 02:43PM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [sih.format(file) for file in sih.files] + expected_formats = [ + ('CH', 'BR', 2019, '01'), + ('CH', 'BR', 2019, '02'), + ('CH', 'BR', 2019, '03') + ] + self.assertEqual(formats, expected_formats) + + get_files = sih.get_files( + group='CH', uf='BR', year=2019, month=1 + ) + self.assertEqual(get_files, [sih.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_SIM.py b/pysus/tests/test_ftp/test_databases/test_SIM.py new file mode 100644 index 00000000..a884ca6d --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_SIM.py @@ -0,0 +1,91 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/11 +by luabida +license: GPL V3 or Later +""" +import unittest +from datetime import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.sim import SIM +from pysus.ftp import File + + +class TestSIMDatabase(unittest.TestCase): + + def test_sim(self): + date_format = '%Y-%m-%d %I:%M%p' + + mock_content = { + "DOAC1996.dbc": File( + path="/dissemin/publicos/SIM/CID10/DORES/DOAC1996.dbc", + name="DOAC1996.dbc", + info={ + 'size': 78054.4, + 'type': 'DBC file', + 'modify': datetime.strptime('2020-01-31 02:48PM', date_format) + } + ), + "DOAC1997.dbc": File( + path="/dissemin/publicos/SIM/CID10/DORES/DOAC1997.dbc", + name="DOAC1997.dbc", + info={ + 'size': 79084.8, + 'type': 'DBC file', + 'modify': datetime.strptime('2020-01-31 02:48PM', date_format) + } + ), + "DOAC1998.dbc": File( + path="/dissemin/publicos/SIM/CID10/DORES/DOAC1998.dbc", + name="DOAC1998.dbc", + info={ + 'size': 79084.8, + 'type': 'DBC file', + 'modify': datetime.strptime('2020-01-31 02:48PM', date_format) + } + ), + } + + with patch( + 'pysus.ftp.databases.sim.SIM', + return_value=MagicMock(__content__=mock_content) + ) as mock_sim: + sim = SIM() + sim.__content__ = mock_sim().__content__ + + descriptions = [sim.describe(file) for file in sim.files] + expected_descriptions = [ + {'name': 'DOAC1996.dbc', + 'uf': 'Acre', + 'year': 1996, + 'group': 'CID10', + 'size': '78.1 kB', + 'last_update': '2020-01-31 02:48PM'}, + {'name': 'DOAC1997.dbc', + 'uf': 'Acre', + 'year': 1997, + 'group': 'CID10', + 'size': '79.1 kB', + 'last_update': '2020-01-31 02:48PM'}, + {'name': 'DOAC1998.dbc', + 'uf': 'Acre', + 'year': 1998, + 'group': 'CID10', + 'size': '79.1 kB', + 'last_update': '2020-01-31 02:48PM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [sim.format(file) for file in sim.files] + expected_formats = [ + ('DO', 'AC', 1996), ('DO', 'AC', 1997), ('DO', 'AC', 1998) + ] + self.assertEqual(formats, expected_formats) + + get_files = sim.get_files( + group='CID10', uf='AC', year='1996' + ) + self.assertEqual(get_files, [sim.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_SINAN.py b/pysus/tests/test_ftp/test_databases/test_SINAN.py new file mode 100644 index 00000000..30cbb4e2 --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_SINAN.py @@ -0,0 +1,82 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/12 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.sinan import SINAN +from pysus.ftp import File + + +class TestSINANDatabase(unittest.TestCase): + + def test_sinan(self): + mock_content = { + "ACBIBR06.dbc": File( + path="/dissemin/publicos/SINAN/DADOS/FINAIS/ACBIBR06.dbc", + name="ACBIBR06.dbc", + info={ + 'size': 28326, + 'type': 'file', + 'modify': datetime.datetime(2023, 1, 16, 14, 15) + } + ), + "ACBIBR07.dbc": File( + path="/dissemin/publicos/SINAN/DADOS/FINAIS/ACBIBR07.dbc", + name="ACBIBR07.dbc", + info={ + 'size': 673314, + 'type': 'file', + 'modify': datetime.datetime(2023, 1, 16, 14, 15) + } + ), + "ACBIBR08.dbc": File( + path="/dissemin/publicos/SINAN/DADOS/FINAIS/ACBIBR08.dbc", + name="ACBIBR08.dbc", + info={ + 'size': 1048406, + 'type': 'file', + 'modify': datetime.datetime(2023, 1, 16, 14, 15) + } + ), + } + + with patch( + 'pysus.ftp.databases.sinan.SINAN', + return_value=MagicMock(__content__=mock_content) + ) as mock_sinan: + sinan = SINAN() + sinan.__content__ = mock_sinan().__content__ + + descriptions = [sinan.describe(file) for file in sinan.files] + expected_descriptions = [ + {'name': 'ACBIBR06.dbc', + 'disease': 'Acidente de trabalho com material biológico', + 'year': 2006, + 'size': '28.3 kB', + 'last_update': '2023-01-16 02:15PM'}, + {'name': 'ACBIBR07.dbc', + 'disease': 'Acidente de trabalho com material biológico', + 'year': 2007, + 'size': '673.3 kB', + 'last_update': '2023-01-16 02:15PM'}, + {'name': 'ACBIBR08.dbc', + 'disease': 'Acidente de trabalho com material biológico', + 'year': 2008, + 'size': '1.0 MB', + 'last_update': '2023-01-16 02:15PM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [sinan.format(file) for file in sinan.files] + expected_formats = [('ACBI', 2006), ('ACBI', 2007), ('ACBI', 2008)] + self.assertEqual(formats, expected_formats) + + get_files = sinan.get_files(dis_code='ACBI', year=2006) + self.assertEqual(get_files, [sinan.files[0]]) diff --git a/pysus/tests/test_ftp/test_databases/test_SINASC.py b/pysus/tests/test_ftp/test_databases/test_SINASC.py new file mode 100644 index 00000000..ca11e873 --- /dev/null +++ b/pysus/tests/test_ftp/test_databases/test_SINASC.py @@ -0,0 +1,89 @@ +# -*- coding:utf-8 -*- +u""" +Created on 2023/12/12 +by luabida +license: GPL V3 or Later +""" +import unittest +import datetime + +from unittest.mock import patch, MagicMock + +from pysus.ftp.databases.sinasc import SINASC +from pysus.ftp import File + + +class TestSINASCDatabase(unittest.TestCase): + + def test_sinasc(self): + mock_content = { + "DNAC1996.DBC": File( + path="/dissemin/publicos/SINASC/NOV/DNRES/DNAC1996.DBC", + name="DNAC1996.DBC", + info={ + 'size': 247527, + 'type': 'file', + 'modify': datetime.datetime(2020, 1, 27, 12, 5) + } + ), + "DNAC1997.DBC": File( + path="/dissemin/publicos/SINASC/NOV/DNRES/DNAC1997.DBC", + name="DNAC1997.DBC", + info={ + 'size': 266815, + 'type': 'file', + 'modify': datetime.datetime(2020, 1, 27, 12, 5) + } + ), + "DNAC1998.DBC": File( + path="/dissemin/publicos/SINASC/NOV/DNRES/DNAC1998.DBC", + name="DNAC1998.DBC", + info={ + 'size': 242404, + 'type': 'file', + 'modify': datetime.datetime(2020, 1, 27, 12, 5) + } + ), + } + + with patch( + 'pysus.ftp.databases.sinasc.SINASC', + return_value=MagicMock(__content__=mock_content) + ) as mock_sinasc: + sinasc = SINASC() + sinasc.__content__ = mock_sinasc().__content__ + + descriptions = [sinasc.describe(file) for file in sinasc.files] + expected_descriptions = [ + {'name': 'DNAC1996.DBC', + 'group': 'Declarações de Nascidos Vivos', + 'uf': 'Acre', + 'year': 1996, + 'size': '247.5 kB', + 'last_update': '2020-01-27 12:05PM'}, + {'name': 'DNAC1997.DBC', + 'group': 'Declarações de Nascidos Vivos', + 'uf': 'Acre', + 'year': 1997, + 'size': '266.8 kB', + 'last_update': '2020-01-27 12:05PM'}, + {'name': 'DNAC1998.DBC', + 'group': 'Declarações de Nascidos Vivos', + 'uf': 'Acre', + 'year': 1998, + 'size': '242.4 kB', + 'last_update': '2020-01-27 12:05PM'} + ] + + self.assertEqual(descriptions, expected_descriptions) + + formats = [sinasc.format(file) for file in sinasc.files] + expected_formats = [ + ('DN', 'AC', 1996), + ('DN', 'AC', 1997), + ('DN', 'AC', 1998) + ] + self.assertEqual(formats, expected_formats) + + get_files = sinasc.get_files(group='DN', uf='AC', year=1996) + self.assertEqual(get_files, [sinasc.files[0]]) diff --git a/pysus/tests/test_ibge.py b/pysus/tests/test_ibge.py index ef2a124b..3948dd7c 100644 --- a/pysus/tests/test_ibge.py +++ b/pysus/tests/test_ibge.py @@ -4,28 +4,27 @@ import pandas as pd from pysus.online_data import IBGE + class SIDRA(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) + @pytest.mark.timeout(120) def test_get_aggregates(self): df = IBGE.list_agregados() self.assertIsInstance(df, pd.DataFrame) self.assertGreater(df.size, 0) - @pytest.mark.timeout(5) + @pytest.mark.skip(reason="This test takes too long") def test_localidades_por_agregado(self): df = IBGE.localidades_por_agregado(475, nivel='N3') self.assertIsInstance(df, pd.DataFrame) self.assertGreater(df.size, 0) - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) + @pytest.mark.timeout(120) def test_lista_periodos(self): df = IBGE.lista_periodos(475) self.assertIsInstance(df, pd.DataFrame) self.assertGreater(df.size, 0) - @pytest.mark.timeout(5) + @pytest.mark.timeout(120) def test_get_sidra_table(self): df = IBGE.get_sidra_table(200, territorial_level=6, geocode=4220000, period='last', classification=2, categories='all') @@ -33,14 +32,12 @@ def test_get_sidra_table(self): self.assertGreater(df.size, 0) @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) def test_metadata(self): md = IBGE.metadados(475) self.assertIsInstance(md, dict) self.assertGreater(len(md), 0) - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) + @pytest.mark.timeout(120) def test_FetchData(self): ds = IBGE.FetchData(475, periodos=1996, variavel=93, localidades='N3[all]', classificacao='58[all]|2[4,5]|1[all]', view='flat') diff --git a/pysus/tests/test_init.py b/pysus/tests/test_init.py deleted file mode 100644 index d57df18b..00000000 --- a/pysus/tests/test_init.py +++ /dev/null @@ -1,60 +0,0 @@ -import unittest -from unittest.mock import patch - -import numpy as np -import pandas as pd -import pytest -from pysus import online_data - - -class TestInitFunctions(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_last_update(self): - for db in [ - "SINAN", - "SIM", - "SINASC", - "SIH", - "SIA", - "PNI", - "CNES", - "CIHA", - ]: - df = online_data.FTP_Inspect(db).last_update_df() - self.assertIsInstance(df, pd.DataFrame) - self.assertGreater(df.size, 0) - self.assertIn("folder", df.columns) - self.assertIsInstance(df["date"][0], pd.Timestamp) - self.assertEqual(df.file_size.dtype, np.dtype("int64")) - - -class TestListDataSources(unittest.TestCase): - @patch("pysus.online_data.Path.exists") - def test_list_data_sources_exists(self, mock_exists): - dbs = "CNES, SIA, SIH, SIM, SINAN, SINASC" - mock_exists.return_value = True - expected_output = f"""Currently, the supported databases are: {dbs}""" - self.assertEqual(online_data.list_data_sources(), expected_output) - - @patch("pysus.online_data.Path.exists") - def test_list_data_sources_not_exists(self, mock_exists): - mock_exists.return_value = False - expected_databases = [ - "SINAN", - "SIM", - "SINASC", - "SIH", - "SIA", - "PNI", - "CNES", - "CIHA", - ] - expected_output = f"""No support for the databases was found." - "Expected databases for implementation are: { - ', '.join(expected_databases)}""" - self.assertEqual(online_data.list_data_sources(), expected_output) - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_sih.py b/pysus/tests/test_sih.py deleted file mode 100644 index 2e9bce49..00000000 --- a/pysus/tests/test_sih.py +++ /dev/null @@ -1,34 +0,0 @@ -import unittest -import pytest - -from pysus.online_data.SIH import download -from pysus.online_data import parquets_to_dataframe as to_df - -class SIHTestCase(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_pre_2008(self): - df = to_df(download("AC", 2006, 12)) - assert not df.empty - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_2008(self): - df = to_df(download("SE", 2008, 6)) - assert not df.empty - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_2010(self): - df = to_df(download("SE", 2010, 6)) - assert not df.empty - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_download_2019(self): - df = to_df(download("SE", 2019, 6)) - assert not df.empty - - -if __name__ == "__main__": - unittest.main() diff --git a/pysus/tests/test_sim.py b/pysus/tests/test_sim.py deleted file mode 100644 index 2ba29849..00000000 --- a/pysus/tests/test_sim.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding:utf-8 -*- -u""" -Created on 23/09/2020 -by gabrielmcf -license: GPL V3 or Later -""" - -import unittest -import pytest - -from numpy.testing import ( - assert_equal, -) - -from pysus.online_data.SIM import download -from pysus.preprocessing import SIM, decoders -from pysus.online_data import parquets_to_dataframe as to_df - - -class TestDecoder(unittest.TestCase): - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_group_and_count(self): - df = to_df(download("se", 2010)) - df = decoders.translate_variables_SIM(df) - variables = ["CODMUNRES", "SEXO", "IDADE_ANOS"] - counts = SIM.group_and_count(df, variables) - self.assertGreater(counts.COUNTS.sum(), 0) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_redistribute_missing(self): - df = to_df(download("se", 2010)) - df = decoders.translate_variables_SIM(df) - variables = ["CODMUNRES", "SEXO", "IDADE_ANOS"] - counts = SIM.group_and_count(df, variables) - sum_original = counts["COUNTS"].sum() - counts = SIM.redistribute_missing(counts, variables) - sum_redistributed = counts["COUNTS"].sum() - - self.assertEqual(sum_original, sum_redistributed) - - @pytest.mark.skip(reason="This test takes too long") - @pytest.mark.timeout(5) - def test_redistribute_missing_partial(self): - df = to_df(download("se", 2010)) - df = decoders.translate_variables_SIM( - df, age_classes=True, classify_cid10_chapters=True - ) - group_variables = ["CODMUNRES", "SEXO", "IDADE_ANOS", "CID10_CHAPTER"] - counts = SIM.group_and_count(df, group_variables) - counts["COUNTS_ORIGINAL"] = counts["COUNTS"] - sum_original = counts["COUNTS"].sum() - counts = SIM.redistribute_missing(counts, group_variables[:3]) - sum_redistributed = counts["COUNTS"].sum() - - assert_equal(sum_original, round(sum_redistributed)) diff --git a/pysus/tests/test_utilities.py b/pysus/tests/test_utilities.py new file mode 100644 index 00000000..b9dfc69c --- /dev/null +++ b/pysus/tests/test_utilities.py @@ -0,0 +1,22 @@ +import unittest +import pytest + +from pysus.utilities.brasil import get_city_name_by_geocode + + +class TestGetMunNameByGeocode(unittest.TestCase): + + @pytest.mark.timeout(5) + def test_get_mun_name_by_geocode(self): + rio = get_city_name_by_geocode(3304557) + self.assertEqual(rio, "Rio de Janeiro") + + vale = get_city_name_by_geocode(1101757) + self.assertEqual(vale, "Vale do Anari") + + santa_helena = get_city_name_by_geocode(5219308) + self.assertEqual(santa_helena, "Santa Helena de Goiás") + + +if __name__ == "__main__": + unittest.main() diff --git a/pysus/utilities/brasil.py b/pysus/utilities/brasil.py index 57352101..6fbf1cc9 100644 --- a/pysus/utilities/brasil.py +++ b/pysus/utilities/brasil.py @@ -1,3 +1,8 @@ +import json +from pathlib import Path +from typing import Union + + UFs = { "BR": "Brasil", "AC": "Acre", @@ -43,3 +48,21 @@ 11: "Novembro", 12: "Dezembro", } + + +def get_city_name_by_geocode(geocode: Union[str, int]): + """ + Returns the Municipality name from its geocode (IBGE) + :param geocode: 7 digits city code, according to IBGE format + :return: City name + """ + + with open(f"{Path(__file__).parent}/municipios.json") as muns: + _mun_decoded = muns.read().encode().decode("utf-8-sig") + municipalities = json.loads(_mun_decoded) + + mun_by_geocode = { + mun["geocodigo"]: mun["municipio"] for mun in municipalities + } + + return mun_by_geocode[int(geocode)] diff --git a/pysus/utilities/municipios.json b/pysus/utilities/municipios.json new file mode 100644 index 00000000..3acd8439 --- /dev/null +++ b/pysus/utilities/municipios.json @@ -0,0 +1,44562 @@ +[ + { + "geocodigo": 5200050, + "municipio": "Abadia de Goiás", + "latitude": -16.7573, + "longitude": -49.4412, + "codigo_uf": 52, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 3100104, + "municipio": "Abadia dos Dourados", + "latitude": -18.4831, + "longitude": -47.3916, + "codigo_uf": 31, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 5200100, + "municipio": "Abadiânia", + "latitude": -16.197, + "longitude": -48.7057, + "codigo_uf": 52, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 3100203, + "municipio": "Abaeté", + "latitude": -19.1551, + "longitude": -45.4444, + "codigo_uf": 31, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 1500107, + "municipio": "Abaetetuba", + "latitude": -1.72183, + "longitude": -48.8788, + "codigo_uf": 15, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2300101, + "municipio": "Abaiara", + "latitude": -7.34588, + "longitude": -39.0416, + "codigo_uf": 23, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2900108, + "municipio": "Abaíra", + "latitude": -13.2488, + "longitude": -41.6619, + "codigo_uf": 29, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2900207, + "municipio": "Abaré", + "latitude": -8.72073, + "longitude": -39.1162, + "codigo_uf": 29, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 4100103, + "municipio": "Abatiá", + "latitude": -23.3049, + "longitude": -50.3133, + "codigo_uf": 41, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 4200051, + "municipio": "Abdon Batista", + "latitude": -27.6126, + "longitude": -51.0233, + "codigo_uf": 42, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 1500131, + "municipio": "Abel Figueiredo", + "latitude": -4.95333, + "longitude": -48.3933, + "codigo_uf": 15, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 4200101, + "municipio": "Abelardo Luz", + "latitude": -26.5716, + "longitude": -52.3229, + "codigo_uf": 42, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 3100302, + "municipio": "Abre Campo", + "latitude": -20.2996, + "longitude": -42.4743, + "codigo_uf": 31, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2600054, + "municipio": "Abreu e Lima", + "latitude": -7.90072, + "longitude": -34.8984, + "codigo_uf": 26, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 1700251, + "municipio": "Abreulândia", + "latitude": -9.62101, + "longitude": -49.1518, + "codigo_uf": 17, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 3100401, + "municipio": "Acaiaca", + "latitude": -20.359, + "longitude": -43.1439, + "codigo_uf": 31, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2100055, + "municipio": "Açailândia", + "latitude": -4.94714, + "longitude": -47.5004, + "codigo_uf": 21, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2900306, + "municipio": "Acajutiba", + "latitude": -11.6575, + "longitude": -38.0197, + "codigo_uf": 29, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 1500206, + "municipio": "Acará", + "latitude": -1.95383, + "longitude": -48.1985, + "codigo_uf": 15, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2300150, + "municipio": "Acarape", + "latitude": -4.22083, + "longitude": -38.7055, + "codigo_uf": 23, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2300200, + "municipio": "Acaraú", + "latitude": -2.88769, + "longitude": -40.1183, + "codigo_uf": 23, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2400109, + "municipio": "Acari", + "latitude": -6.4282, + "longitude": -36.6347, + "codigo_uf": 24, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 2200053, + "municipio": "Acauã", + "latitude": -8.21954, + "longitude": -41.0831, + "codigo_uf": 22, + "fuso_horario": "America\/Sao_Paulo" + }, + { + "geocodigo": 4300034, + "municipio": "Aceguá", + "latitude": 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