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How to use get_downloaded_file_path method in toolium

Best Python code snippet using toolium_python

resto_client_cli_test.py

Source:resto_client_cli_test.py

...66        """67        self.assert_in_settings(settings_key)68        self.assertEqual(RESTO_CLIENT_SETTINGS[settings_key], expected_value)69    @staticmethod70    def get_downloaded_file_path(base_filename: str) -> Path:71        """72        Returns the path in the downlaod directory of a file specified by its basename.73        :param base_filename: base file name74        :returns: the path to the file75        """76        return (Path(RESTO_CLIENT_SETTINGS[DOWNLOAD_DIR_KEY]) /77                RESTO_CLIENT_SETTINGS[SERVER_KEY] / base_filename)78    def assert_downloaded_file_ok(self, base_filename: str) -> None:79        """80        Verify that the download file is correct.81        :param base_filename: base file name82        """83        downloaded_file_path = self.get_downloaded_file_path(base_filename)84        self.assertTrue(downloaded_file_path.is_file(),85                        'Could not find expected file: {}'.format(str(downloaded_file_path)))86    def do_test_download_file(self, command: List[str], expected_files: List[str]) -> None:87        """88        Test that the provided command, which is supposed to download one or several files,89        succeed in downloading them.90        :param command: list of words composing the command91        :param expected_files: the base file names of the expected downloaded files92        """93        with TemporaryDirectory() as tmp_dir:94            resto_client_run(arguments=['set', 'download_dir', tmp_dir])95            resto_client_run(arguments=command)96            for file_name in expected_files:97                self.assert_downloaded_file_ok(file_name)...

pfam.py

Source:pfam.py

...21        self, record, tmp_path_prefix, max_evalue=0.01, db_path=None, clans_path=None22    ):23        self.record = record24        self.tmp_path_prefix = tmp_path_prefix25        self.db_path = db_path or util.get_downloaded_file_path(26            PFAM_DB_FILE_NAME, versioned=False27        )28        self.clans_path = clans_path or util.get_downloaded_file_path(29            PFAM_CLANS_FILE_NAME, versioned=False30        )31        self.max_evalue = max_evalue32    def _write_proteins(self, proteins, protein_path):33        records = []34        for feature in proteins:35            translation_str = feature.qualifiers.get("translation", [None])[0]36            if translation_str:37                translation = Seq(translation_str)38            else:39                translation = feature.extract(self.record.seq).translate()40            records.append(41                SeqRecord(translation, util.get_protein_id(feature), description="")42            )...

utils.py

Source:utils.py

...19    r = redis.StrictRedis(host=constants.REDIS_HOST, port=constants.REDIS_PORT,20                          password=constants.REDIS_PWD, charset=constants.REDIS_CHARSET, decode_responses=True)21    return r22# returns absolute file path to work on23def get_downloaded_file_path():24    page = requests.get(constants.BSE_URL)  # get page content from API25    soup = BeautifulSoup(page.content, constants.HTML_PARSER)26    '''The desired link is in iframe. 27    So find frame and get source url'''28    iframe = soup.find(constants.IFRAME)29    frame_page = requests.get(constants.URL_PREFIX + get_frame_source_url(iframe))30    soup = BeautifulSoup(frame_page.content, constants.HTML_PARSER)31    resultant_list = soup.select(constants.ZIP_FILE_LOCATOR_ID)32    # get zip file url33    zip_file_url = get_zip_file_url(resultant_list)34    # download zip file35    zip_file = requests.get(zip_file_url)36    # read zip contents37    z = zipfile.ZipFile(io.BytesIO(zip_file.content))38    # extracts it to a folder39    z.extractall(constants.RESOURCES)40    # returns absolute file path41    return str(constants.RESOURCES + '/' + z.namelist()[0])42# returns top 10 stock list43def get_top_10_list():44    equity_csv_file = get_downloaded_file_path()  # get file source45    conn = connect_redis_db()  # get redis connection46    conn.flushall()  # flush all data before insert new one47    ''' open csv file and read each lines.48    Store the split values in db with appropriate fields'''49    with open(equity_csv_file, 'r') as file:50        headers = next(file).split(',')  # split headers for hashes filed entries51        for line in file:52            values = line.split(',')53            mapping = {headers[0]: values[0].strip(), headers[1]: values[1].strip(), headers[2]: values[2].strip(),54                       headers[3]: values[3].strip(), headers[4]: float(values[4]), headers[5]: float(values[5]),55                       headers[6]: float(values[6]), headers[7]: float(values[7]), headers[8]: float(values[8]),56                       headers[9]: float(values[9]), headers[10]: int(values[10]), headers[11]: int(values[11]),57                       headers[12]: float(values[12])}58            conn.hmset(values[1].strip(), mapping)...

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