跳到内容

检索任务

task task

检索任务连接到一个 URL 并将内容下载到本地。此任务在处理需要本地可用数据的操作时非常有用。

示例

下面显示了使用此任务作为工作流一部分的简单示例。

from txtai.workflow import RetrieveTask, Workflow

workflow = Workflow([RetrieveTask(directory="/tmp")])
workflow(["https://file.to.download", "/local/file/to/copy"])

配置驱动示例

此任务也可以通过工作流配置创建。

workflow:
  tasks:
    - task: retrieve
      directory: /tmp

方法

此任务的 Python 文档。

__init__(action=None, select=None, unpack=True, column=None, merge='hstack', initialize=None, finalize=None, concurrency=None, onetomany=True, **kwargs)

创建一个新任务。任务定义了两种方法:它接受的数据类型以及对每个数据元素执行的操作。操作是一个可调用的函数或可调用函数的列表。

参数

名称 类型 描述 默认值
action

对每个数据元素执行的操作

None
select

用于选择要处理的数据的过滤器

None
unpack

是否应从 (id, data, tag) 元组中解包或展开数据元素

True
column

如果元素是元组,则选择的列索引,默认为全部

None
merge

用于连接多操作输出的合并模式,默认为 hstack

'hstack'
initialize

处理前执行的操作

None
finalize

处理后执行的操作

None
concurrency

设置可执行实例可用时的并发方法有效值:"thread" 用于基于线程的并发,"process" 用于基于进程的并发

None
onetomany

是否启用一对多数据转换,默认为 True

True
kwargs

附加关键字参数

{}
源代码位于 txtai/workflow/task/base.py
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
def __init__(
    self,
    action=None,
    select=None,
    unpack=True,
    column=None,
    merge="hstack",
    initialize=None,
    finalize=None,
    concurrency=None,
    onetomany=True,
    **kwargs,
):
    """
    Creates a new task. A task defines two methods, type of data it accepts and the action to execute
    for each data element. Action is a callable function or list of callable functions.

    Args:
        action: action(s) to execute on each data element
        select: filter(s) used to select data to process
        unpack: if data elements should be unpacked or unwrapped from (id, data, tag) tuples
        column: column index to select if element is a tuple, defaults to all
        merge: merge mode for joining multi-action outputs, defaults to hstack
        initialize: action to execute before processing
        finalize: action to execute after processing
        concurrency: sets concurrency method when execute instance available
                     valid values: "thread" for thread-based concurrency, "process" for process-based concurrency
        onetomany: if one-to-many data transformations should be enabled, defaults to True
        kwargs: additional keyword arguments
    """

    # Standardize into list of actions
    if not action:
        action = []
    elif not isinstance(action, list):
        action = [action]

    self.action = action
    self.select = select
    self.unpack = unpack
    self.column = column
    self.merge = merge
    self.initialize = initialize
    self.finalize = finalize
    self.concurrency = concurrency
    self.onetomany = onetomany

    # Check for custom registration. Adds additional instance members and validates required dependencies available.
    if hasattr(self, "register"):
        self.register(**kwargs)
    elif kwargs:
        # Raise error if additional keyword arguments passed in without register method
        kwargs = ", ".join(f"'{kw}'" for kw in kwargs)
        raise TypeError(f"__init__() got unexpected keyword arguments: {kwargs}")

register(directory=None, flatten=True)

将检索参数添加到任务。

参数

名称 类型 描述 默认值
directory

用于存储检索到的文件的本地目录

None
flatten

展平输入目录结构,默认为 True

True
源代码位于 txtai/workflow/task/retrieve.py
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
def register(self, directory=None, flatten=True):
    """
    Adds retrieve parameters to task.

    Args:
        directory: local directory used to store retrieved files
        flatten: flatten input directory structure, defaults to True
    """

    # pylint: disable=W0201
    # Create default temporary directory if not specified
    if not directory:
        # Save tempdir to prevent content from being deleted until this task is out of scope
        # pylint: disable=R1732
        self.tempdir = tempfile.TemporaryDirectory()
        directory = self.tempdir.name

    # Create output directory if necessary
    os.makedirs(directory, exist_ok=True)

    self.directory = directory
    self.flatten = flatten