Python config.debug方法代码示例

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def generate_table_sql(file_names, column_data_type):
    """Generates SQL for the table to load data.

    Parameters
    ----------
    file_names : str
        The file_names to scan for columns
    column_data_type : str
        The column data type to use
    """
    col_list = []
    for file_name in file_names:
        f.debug("Reading file {0}".format(file_name))
        with f.open_file(file_name) as file:
            reader = f.get_csv_reader(file)
            columns_to_add = f.read_header(reader)
            f.debug("Columns to add {0}".format(columns_to_add))
            # Add columns to list implicitly removing duplicates for when going over multiple files
            col_list.extend(col for col in columns_to_add if col not in col_list)
    print_table_and_columns(col_list, column_data_type) 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def load_files(file_names):
    """Loads all files into the database.

    file_names : str
        All the file names to load into the database
    """
    for file_name in file_names:
        print()
        print("Loading file {0}".format(file_name))
        f.debug("Opening file handler for '{0}'".format(file_name))
        with f.open_file(file_name) as file:
            try:
                read_and_load_file(file)
                print("File loaded.")
            except StopIteration:
                print("File is empty: {0}".format(file_name))
            except Exception as err:
                f.error("Error while loading file into table: {0}".format(file.name))
                exception, traceback = f.get_exception_details()
                f.error(exception)
                f.debug(traceback)
                cfg.data_loading_error = True
                print("Skipping file.")
        print() 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def search(self):
        print("Search in OFD-YA...")
        url = self.url_receipt_get.format(self.kkt, self.fiscal_id)
        request = requests.get(url)
        if request.status_code == 200 and request.text != '{}':
            self.raw = json.dumps(
                request.json(), ensure_ascii=False).encode('utf8')
            self.receipt_data = json.loads(self.raw)
            filename = self.get_receipt_file_name()

            if not os.path.exists(filename):
                with open(filename, 'w') as outfile:
                    outfile.write(self.receipt_data)

            return True
        else:
            print("Error {} while searching in ofd-ya!".format(request.status_code))
            if config.debug:
                print(request.text)
            return False 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def debug(output):
    """Print debug output.

    Parameters
    ----------
    output : Any
        The output to print
    """
    if cfg.debug:
        if isinstance(output, list):
            output = ", ".join(output)
        elif isinstance(output, dict):
            output = ", ".join(str(key) + ": " + str(value) for key, value in output.items())
        print_color(TerminalColor.YELLOW, "DEBUG: {0}: {1}".format(datetime.datetime.now(), output)) 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def read_and_load_file(file):
    """Reads and loads file.

    Parameters
    ----------
    file : file_object
        The file to load
    """
    reader = f.get_csv_reader(file)
    col_map = f.read_header(reader)
    f.debug("Column map: {0}".format(col_map))
    for line in reader:
        load_data(col_map, line)
    load_data(col_map, None) 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def test_load_file_with_insufficient_columns(self):
        print("test_load_file_with_insufficient_columns")
        self.assertEqual(f.ExitCodes.SUCCESS.value,
                         csv2db.run(
                              ["load",
                               "-f", "../resources/bad/201811-citibike-tripdata-not-enough-columns.csv",
                               "-u", login["user"],
                               "-p", login["password"],
                               "-d", login["database"],
                               "-t", login["table"],
                               "--debug"
                               ]
                             )
                         ) 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def test_exit_code_DATA_LOADING_ERROR(self):
        print("test_exit_code_DATA_LOADING_ERROR")
        self.assertEqual(f.ExitCodes.DATA_LOADING_ERROR.value,
                         csv2db.run(
                              ["load",
                               "-f", "../resources/201811-citibike-tripdata.csv",
                               "-u", login["user"],
                               "-p", login["password"],
                               "-d", login["database"],
                               "-t", "DOES_NOT_EXIST",
                               "--debug"
                               ]
                             )
                         ) 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def setUp(self):
        # Set the default column separator for all tests
        cfg.column_separator = ","
        cfg.quote_char = '"'
        cfg.data_loading_error = False
        cfg.debug = False 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def __init__(self, old, new):
        """
        :param list old: List of 'old' lines to compare to new
        :param list new: List of 'new' lines to compare to old
        :return:
        """

        # Compares best when items are sorted
        old.sort()
        new.sort()
        self.add = []
        self.delete = []
        self.equal = []
        s = difflib.SequenceMatcher(None, old, new)
        for tag, i1, i2, j1, j2 in s.get_opcodes():

            # This helps to understand what we're adding and removing. From difflib documentation
            if config.debug:
                print("%7s a[%d:%d] (%s) b[%d:%d] (%s)" % (tag, i1, i2, old[i1:i2], j1, j2, new[j1:j2]))

            # replace takes out items from list A[i1:i2] and adds from list B[j1:j2]
            if tag == 'replace':
                for i in old[i1:i2]:
                    self.delete.append(i)
                for i in new[j1:j2]:
                    self.add.append(i)
            # delete records are not seen in list b. Remove items from list a[i1:i2]
            elif tag == 'delete':
                for i in old[i1:i2]:
                    self.delete.append(i)
            # insert records are not seen in list a. Add items from list b.
            elif tag == 'insert':
                for i in new[j1:j2]:
                    self.add.append(i)
            elif tag == 'equal':
                for i in old[i1:i2]:
                    self.equal.append(i) 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def setUpClass(cls):
        """ Setup """
        config.debug = False
        cls.OFD = ofd.OFDProvider(True).detect(
            "t=20170712T133051&s=32.50&fn=8710000100924702&i=1666&fp=3502055476&n=1") 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def setUpClass(cls):
        """ Setup """
        config.debug = False
        cls.OFD = ofd.OFDProvider(True).detect(
            "t=20170714T1311&s=35.00&fn=8710000100837497&i=231&fp=2921685295&n=1") 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def setUpClass(cls):
        """ Setup """
        config.debug = False
        cls.OFD = ofd.OFDProvider(True).detect(
            "t=20170305T005100&s=140.00&fn=8710000100161943&i=8018&fp=2398195357&n=1",
            "0000069245023747") 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def load_data(col_map, data):
    """Loads the data into the database.

    Parameters
    ----------
    col_map : [str,]
        The columns to load the data into
    data : [str,]
        The data to load. If data is None the array will be loaded and flushed.
    """
    if data is not None and len(data) > 0:
        # If the data has more values than the header provided, ignore the end (green data set has that)
        while len(data) > len(col_map):
            f.debug("Removing extra row value entry not present in the header.")
            data.pop()
        # tuple or dictionary only for SQL Server
        cfg.input_data.append(tuple(data))

    # If batch size has been reached or input array should be flushed
    if (len(cfg.input_data) == cfg.batch_size) or (data is None and len(cfg.input_data) > 0):
        f.debug("Executing statement:")
        stmt = generate_statement(col_map)
        f.debug(stmt)
        cur = cfg.conn.cursor()
        try:
            f.executemany(cur, stmt)
        except Exception as err:
            # Rollback old batch (needed for at least Postgres to finish transaction)
            cfg.conn.rollback()
            # If debug output is enabled, find failing record
            if cfg.debug:
                for record in cfg.input_data:
                    try:
                        cur.execute(stmt, record)
                    except Exception as err1:
                        f.debug("Error with record: {0}".format(record))
                        # Rollback old batch (needed for at least Postgres to finish transaction)
                        cfg.conn.rollback()
                        cur.close()
                        cfg.input_data.clear()
                        raise
            # Debug output is not enabled, clear current batch and raise error
            else:
                cur.close()
                cfg.input_data.clear()
                raise
        f.debug("Commit")
        cfg.conn.commit()
        cur.close()
        f.verbose("{0} rows loaded.".format(len(cfg.input_data)))
        cfg.input_data.clear() 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def process(db_add, db_del, db_equal):
    """ Processes RepDB entries in order for syslog, stdout, csv file, etc

    :param repDB db_add: RepDB entry to show added items
    :param repDB db_del: RepDB entry to show deleted items
    :param repDB db_equal: RepDB entry to show unchanged values
    """

    # fun toy for heatmaps later
    f = open('cache/coords.txt', 'w')
    count_add = 0
    count_del = 0
    count_equal = 0

    for line in db_add:

        for i in line:
            count_add += 1
            msg = buildcef('add', i)
            syslog(msg)
            if config.debug:
                printjson('add', i)
            f.write("%s %s\n" % (i['latitude'], i['longitude']))

    for line in db_del:
        for i in line:
            count_del += 1
            msg = buildcef('delete', i)
            if config.debug:
                printjson('delete', i)
            syslog(msg)

    for line in db_equal:
        for i in line:
            count_equal += 1
            msg = buildcef('update', i)
            syslog(msg)
            if config.debug:
                printjson('update', i)
            f.write("%s %s\n" % (i['latitude'], i['longitude']))

    f.close()
    print("Sent {0} New, {1} deleted, and {2} unchanged entries to {3}:{4}".format(
        count_add, count_del, count_equal, config.host, config.port))

# Only run code if invoked directly: This allows a user to import modules without having to run through everything 

# 需要导入模块: import config [as 别名]
# 或者: from config import debug [as 别名]
def __init__(self, args):
        # load dictionary and embedding file
        with open(config.embedding, "rb") as f:
            embedding = pickle.load(f)
            embedding = torch.tensor(embedding,
                                     dtype=torch.float).to(config.device)
        with open(config.word2idx_file, "rb") as f:
            word2idx = pickle.load(f)

        # train, dev loader
        print("load train data")
        self.train_loader = get_loader(config.train_src_file,
                                       config.train_trg_file,
                                       word2idx,
                                       use_tag=True,
                                       batch_size=config.batch_size,
                                       debug=config.debug)
        self.dev_loader = get_loader(config.dev_src_file,
                                     config.dev_trg_file,
                                     word2idx,
                                     use_tag=True,
                                     batch_size=128,
                                     debug=config.debug)

        train_dir = os.path.join("./save", "seq2seq")
        self.model_dir = os.path.join(
            train_dir, "train_%d" % int(time.strftime("%m%d%H%M%S")))
        if not os.path.exists(self.model_dir):
            os.makedirs(self.model_dir)

        self.model = Seq2seq(embedding)
        self.model = self.model.to(config.device)

        if len(args.model_path) > 0:
            print("load check point from: {}".format(args.model_path))
            state_dict = torch.load(args.model_path,
                                    map_location="cpu")
            self.model.load_state_dict(state_dict)

        params = self.model.parameters()

        self.lr = config.lr
        self.optim = optim.SGD(params, self.lr, momentum=0.8)
        # self.optim = optim.Adam(params)
        self.criterion = nn.CrossEntropyLoss(ignore_index=0)