1）
您可以檢查source code或給人以交互式控制檯是這樣的：
from google.appengine.ext.bulkload import transform
help(transform)
你會獲得：
Help on module google.appengine.ext.bulkload.transform in google.appengine.ext.bulkload:
NAME
google.appengine.ext.bulkload.transform - Bulkloader Transform Helper functions.
FILE
/Applications/GoogleAppEngineLauncher.app/Contents/Resources/GoogleAppEngine-default.bundle/Contents/Resources/google_appengine/google/appengine/ext/bulkload/transform.py
DESCRIPTION
A collection of helper functions for bulkloading data, typically referenced
from a bulkloader.yaml file.
FUNCTIONS
blob_to_file(filename_hint_propertyname=None, directory_hint='')
Write the blob contents to a file, and replace them with the filename.
Args:
filename_hint_propertyname: If present, the filename will begin with
the contents of this value in the entity being exported.
directory_hint: If present, the files will be stored in this directory.
Returns:
A function which writes the input blob to a file.
blobproperty_from_base64 = wrapper(value)
bytestring_from_base64 = wrapper(value)
child_node_from_list(child_node_name)
Return a value suitable for generating an XML child node on export.
The return value is a list of tuples which the simplexml connector will
use to build a child node.
See also list_from_child_node
Args:
child_node_name: The name to use for each child node.
Returns:
Transform function which works as described in the args.
create_deep_key(*path_info)
A method to make multi-level Key objects.
Generates multi-level key from multiple fields in the input dictionary.
This is typically used for Keys for entities which have variable parent keys,
e.g. ones with owned relationships. It can used for both __key__ and
references.
Use create_foreign_key as a simpler way to create single level keys.
Args:
path_info: List of tuples, describing (kind, property, is_id=False).
kind: The kind name.
property: The external property in the current import dictionary, or
transform.CURRENT_PROPERTY for the value passed to the transform.
is_id: Converts value to int and treats as numeric ID if True, otherwise
the value is a string name. Default is False.
Example:
create_deep_key(('rootkind', 'rootcolumn'),
('childkind', 'childcolumn', True),
('leafkind', transform.CURRENT_PROPERTY))
Returns:
Transform method which parses the info from the current neutral dictionary
into a Key with parents as described by path_info.
create_foreign_key(kind, key_is_id=False)
A method to make one-level Key objects.
These are typically used in ReferenceProperty in Python, where the reference
value is a key with kind (or model) name name.
This helper method does not support keys with parents. Use create_deep_key
instead to create keys with parents.
Args:
kind: The kind name of the reference as a string.
key_is_id: If true, convert the key into an integer to be used as an id.
If false, leave the key in the input format (typically a string).
Returns:
Single argument method which parses a value into a Key of kind entity_kind.
empty_if_none(fn)
A wrapper for a value to return '' if it's None. Useful on export.
Can be used in config files (e.g. "transform.empty_if_none(unicode)" or
as a decorator.
Args:
fn: Single argument transform function.
Returns:
Wrapped function.
export_date_time(format)
A wrapper around strftime. Also returns '' if the input is None.
Args:
format: Format string for strftime.
Returns:
Single argument method which convers a datetime into a string using format.
import_date_time(format, _strptime=None)
A wrapper around strptime. Also returns None if the input is empty.
Args:
format: Format string for strptime.
Returns:
Single argument method which parses a string into a datetime using format.
join_list(delimeter)
Join a list into a string using the delimeter.
This is just a wrapper for string.join.
Args:
delimeter: The delimiter to use when joining the string.
Returns:
Method which joins the list into a string with the delimeter.
key_id_or_name_as_string = transform_function(key)
key_id_or_name_as_string_n(index)
Pull out the nth (0-based) key id or name from a key which has parents.
If a key is present, return its id or name as a string.
Note that this loses the distinction between integer IDs and strings
which happen to look like integers. Use key_type to distinguish them.
This is a useful complement to create_deep_key.
Args:
index: The depth of the id or name to extract. Zero is the root key.
Negative one is the leaf key.
Returns:
Function extracting the name or ID of the key at depth index, as a unicode
string. Returns '' if key is empty (unsaved), otherwise raises IndexError
if the key is not as deep as described.
key_kind = wrapper(value)
key_kind_n(index)
Pull out the nth (0-based) key kind from a key which has parents.
This is a useful complement to create_deep_key.
Args:
index: The depth of the id or name to extract. Zero is the root key.
Negative one is the leaf key.
Returns:
Function returning the kind of the key at depth index, or raising
IndexError if the key is not as deep as described.
key_type = transform_function(key)
key_type_n(index)
Pull out the nth (0-based) key type from a key which has parents.
This is most useful when paired with key_id_or_name_as_string_n.
This is a useful complement to create_deep_key.
Args:
index: The depth of the id or name to extract. Zero is the root key.
Negative one is the leaf key.
Returns:
Method returning the type ('ID' or 'name') of the key at depth index.
Returns '' if key is empty (unsaved), otherwise raises IndexError
if the key is not as deep as described.
list_from_child_node(xpath, suppress_blank=False)
Return a list property from child nodes of the current xml node.
This applies only the simplexml helper, as it assumes __node__, the current
ElementTree node corresponding to the import record.
Sample usage for structure:
<Visit>
<VisitActivities>
<Activity>A1</Activity>
<Activity>A2</Activity>
</VisitActivities>
</Visit>
property: activities
external_name: VisitActivities # Ignored on import, used on export.
import_transform: list_from_xml_node('VisitActivities/Activity')
export_transform: child_node_from_list('Activity')
Args:
xpath: XPath to run on the current node.
suppress_blank: if True, ndoes with no text will be skipped.
Returns:
Transform function which works as described in the args.
list_from_multiproperty(*external_names)
Create a list from multiple properties.
Args:
external_names: List of the properties to use.
Returns:
Transform function which returns a list of the properties in external_names.
none_if_empty(fn)
A decorator which returns None if its input is empty else fn(x).
Useful on import. Can be used in config files
(e.g. "transform.none_if_empty(int)" or as a decorator.
Args:
fn: Single argument transform function.
Returns:
Wrapped function.
property_from_list(index)
Return the Nth item from a list, or '' if the list is shorter.
Args:
index: Item in the list to return.
Returns:
Function returning the item from a list, or '' if the list is too short.
regexp_bool(regexp, flags=0)
Return a boolean if the expression matches with re.match.
Note that re.match anchors at the start but not end of the string.
Args:
regexp: String, regular expression.
flags: Optional flags to pass to re.match.
Returns:
Method which returns a Boolean if the expression matches.
regexp_extract(pattern, method=<function match at 0x336270>, group=1)
Return first group in the value matching the pattern using re.match.
Args:
pattern: A regular expression to match on with at least one group.
method: The method to use for matching; normally re.match or re.search.
group: The group to use for extracting a value.
Returns:
A single argument method which returns the group_arg group matched,
or None if no match was found or the input was empty.
regexp_to_list(pattern)
Return function that returns a list of objects that match the regex.
Useful on import. Uses the provided regex to split a string value into a list
of strings. Wrapped by none_if_input_or_result_empty, so returns none if
there are no matches for the regex and none if the input is empty.
Args:
pattern: A regular expression pattern to match against the input string.
Returns:
None if the input was none or no matches were found, otherwise a list of
strings matching the input expression.
split_string(delimeter)
Split a string using the delimeter into a list.
This is just a wrapper for string.split.
Args:
delimeter: The delimiter to split the string on.
Returns:
Method which splits the string into a list along the delimeter.
DATA
CURRENT_PROPERTY = None
KEY_TYPE_ID = 'ID'
KEY_TYPE_NAME = 'name'
__loader__ = <google.appengine.tools.dev_appserver.HardenedModulesHook...
2）
確切地說，您可以使用您定義的轉換函數，或者在此特定情況下，您可以直接使用transform.import_date_time。
import_date_time(format, _strptime=None)
A wrapper around strptime. Also returns None if the input is empty.
Args:
format: Format string for strptime.
Returns:
Single argument method which parses a string into a datetime using format.
您不會將數據轉換爲屬性類或甚至屬性類實例。屬性類是'db.Model'如何表示模型的細節;他們可以存儲的數據類型是完全獨立的。 –
@Nick，我想你的意思是'db.Model'是[Model Class]（http://code.google.com/appengine/docs/python/datastore/datamodeling.html#Model_Classes）的一個例子，它是一個子類其中我在我的問題中調用了'SomeData'，而'db.DateProperty（）'是[Property Class]的示例（http://code.google.com/appengine/docs/python/datastore/typesandpropertyclasses。 HTML）。這就是我的意思。我不確定我在解釋中發生了什麼。 – Kit
@Nick，我想我應該說「將CSV字符串轉換爲由'SomeData'擁有的Property Class實例所需的數據類型。那是對的嗎？ – Kit