Module stac_fastapi.extensions.third_party.bulk_transactions

Bulk transactions extension.

Classes

AsyncBaseBulkTransactionsClient

class AsyncBaseBulkTransactionsClient(

)

BulkTransactionsClient.

Ancestors (in MRO)

• abc.ABC

Methods

bulk_item_insert

def bulk_item_insert(
    self,
    items: stac_fastapi.extensions.third_party.bulk_transactions.Items,
    **kwargs
) -> str

Bulk creation of items.

Parameters:

Name	Type	Description	Default
items	None	list of items.	None

Returns:

Type	Description
None	Message indicating the status of the insert.

BaseBulkTransactionsClient

class BaseBulkTransactionsClient(

)

BulkTransactionsClient.

Ancestors (in MRO)

• abc.ABC

Methods

bulk_item_insert

def bulk_item_insert(
    self,
    items: stac_fastapi.extensions.third_party.bulk_transactions.Items,
    chunk_size: Optional[int] = None,
    **kwargs
) -> str

Bulk creation of items.

Parameters:

Name	Type	Description	Default
items	None	list of items.	None
chunk_size	None	number of items processed at a time.	None

Returns:

Type	Description
None	Message indicating the status of the insert.

BulkTransactionExtension

class BulkTransactionExtension(
    client: Union[stac_fastapi.extensions.third_party.bulk_transactions.AsyncBaseBulkTransactionsClient, stac_fastapi.extensions.third_party.bulk_transactions.BaseBulkTransactionsClient],
    conformance_classes: List[str] = [],
    schema_href: Optional[str] = None
)

Bulk Transaction Extension.

Bulk Transaction extension adds the POST /collections/{collection_id}/bulk_items endpoint to the application for efficient bulk insertion of items. The input to this is an object with an attribute "items", that has a value that is an object with a group of attributes that are the ids of each Item, and the value is the Item entity.

Optionally, clients can specify a "method" attribute that is either "insert" or "upsert". If "insert", then the items will be inserted if they do not exist, and an error will be returned if they do. If "upsert", then the items will be inserted if they do not exist, and updated if they do. This defaults to "insert".

{
    "items": {
        "id1": { "type": "Feature", ... },
        "id2": { "type": "Feature", ... },
        "id3": { "type": "Feature", ... }
    },
    "method": "insert"
}

Ancestors (in MRO)

• stac_fastapi.types.extension.ApiExtension
• abc.ABC

Class variables

GET

POST

Methods

get_request_model

def get_request_model(
    self,
    verb: Optional[str] = 'GET'
) -> Optional[pydantic.main.BaseModel]

Return the request model for the extension.method.

The model can differ based on HTTP verb

register

def register(
    self,
    app: fastapi.applications.FastAPI
) -> None

Register the extension with a FastAPI application.

Parameters:

Name	Type	Description	Default
app	None	target FastAPI application.	None

Returns:

Type	Description
None	None

BulkTransactionMethod

class BulkTransactionMethod(
    *args,
    **kwds
)

Bulk Transaction Methods.

Ancestors (in MRO)

• builtins.str
• enum.Enum

Class variables

INSERT

UPSERT

name

value

Static methods

maketrans

def maketrans(
    ...
)

Return a translation table usable for str.translate().

If there is only one argument, it must be a dictionary mapping Unicode ordinals (integers) or characters to Unicode ordinals, strings or None. Character keys will be then converted to ordinals. If there are two arguments, they must be strings of equal length, and in the resulting dictionary, each character in x will be mapped to the character at the same position in y. If there is a third argument, it must be a string, whose characters will be mapped to None in the result.

Methods

capitalize

def capitalize(
    self,
    /
)

Return a capitalized version of the string.

More specifically, make the first character have upper case and the rest lower case.

casefold

def casefold(
    self,
    /
)

Return a version of the string suitable for caseless comparisons.

center

def center(
    self,
    width,
    fillchar=' ',
    /
)

Return a centered string of length width.

Padding is done using the specified fill character (default is a space).

count

def count(
    ...
)

S.count(sub[, start[, end]]) -> int

Return the number of non-overlapping occurrences of substring sub in string S[start:end]. Optional arguments start and end are interpreted as in slice notation.

encode

def encode(
    self,
    /,
    encoding='utf-8',
    errors='strict'
)

Encode the string using the codec registered for encoding.

encoding The encoding in which to encode the string. errors The error handling scheme to use for encoding errors. The default is 'strict' meaning that encoding errors raise a UnicodeEncodeError. Other possible values are 'ignore', 'replace' and 'xmlcharrefreplace' as well as any other name registered with codecs.register_error that can handle UnicodeEncodeErrors.

endswith

def endswith(
    ...
)

S.endswith(suffix[, start[, end]]) -> bool

Return True if S ends with the specified suffix, False otherwise. With optional start, test S beginning at that position. With optional end, stop comparing S at that position. suffix can also be a tuple of strings to try.

expandtabs

def expandtabs(
    self,
    /,
    tabsize=8
)

Return a copy where all tab characters are expanded using spaces.

If tabsize is not given, a tab size of 8 characters is assumed.

find

def find(
    ...
)

S.find(sub[, start[, end]]) -> int

Return the lowest index in S where substring sub is found, such that sub is contained within S[start:end]. Optional arguments start and end are interpreted as in slice notation.

Return -1 on failure.

format

def format(
    ...
)

S.format(args, *kwargs) -> str

Return a formatted version of S, using substitutions from args and kwargs. The substitutions are identified by braces ('{' and '}').

format_map

def format_map(
    ...
)

S.format_map(mapping) -> str

Return a formatted version of S, using substitutions from mapping. The substitutions are identified by braces ('{' and '}').

index

def index(
    ...
)

S.index(sub[, start[, end]]) -> int

Return the lowest index in S where substring sub is found, such that sub is contained within S[start:end]. Optional arguments start and end are interpreted as in slice notation.

Raises ValueError when the substring is not found.

isalnum

def isalnum(
    self,
    /
)

Return True if the string is an alpha-numeric string, False otherwise.

A string is alpha-numeric if all characters in the string are alpha-numeric and there is at least one character in the string.

isalpha

def isalpha(
    self,
    /
)

Return True if the string is an alphabetic string, False otherwise.

A string is alphabetic if all characters in the string are alphabetic and there is at least one character in the string.

isascii

def isascii(
    self,
    /
)

Return True if all characters in the string are ASCII, False otherwise.

ASCII characters have code points in the range U+0000-U+007F. Empty string is ASCII too.

isdecimal

def isdecimal(
    self,
    /
)

Return True if the string is a decimal string, False otherwise.

A string is a decimal string if all characters in the string are decimal and there is at least one character in the string.

isdigit

def isdigit(
    self,
    /
)

Return True if the string is a digit string, False otherwise.

A string is a digit string if all characters in the string are digits and there is at least one character in the string.

isidentifier

def isidentifier(
    self,
    /
)

Return True if the string is a valid Python identifier, False otherwise.

Call keyword.iskeyword(s) to test whether string s is a reserved identifier, such as "def" or "class".

islower

def islower(
    self,
    /
)

Return True if the string is a lowercase string, False otherwise.

A string is lowercase if all cased characters in the string are lowercase and there is at least one cased character in the string.

isnumeric

def isnumeric(
    self,
    /
)

Return True if the string is a numeric string, False otherwise.

A string is numeric if all characters in the string are numeric and there is at least one character in the string.

isprintable

def isprintable(
    self,
    /
)

Return True if the string is printable, False otherwise.

A string is printable if all of its characters are considered printable in repr() or if it is empty.

isspace

def isspace(
    self,
    /
)

Return True if the string is a whitespace string, False otherwise.

A string is whitespace if all characters in the string are whitespace and there is at least one character in the string.

istitle

def istitle(
    self,
    /
)

Return True if the string is a title-cased string, False otherwise.

In a title-cased string, upper- and title-case characters may only follow uncased characters and lowercase characters only cased ones.

isupper

def isupper(
    self,
    /
)

Return True if the string is an uppercase string, False otherwise.

A string is uppercase if all cased characters in the string are uppercase and there is at least one cased character in the string.

join

def join(
    self,
    iterable,
    /
)

Concatenate any number of strings.

The string whose method is called is inserted in between each given string. The result is returned as a new string.

Example: '.'.join(['ab', 'pq', 'rs']) -> 'ab.pq.rs'

ljust

def ljust(
    self,
    width,
    fillchar=' ',
    /
)

Return a left-justified string of length width.

Padding is done using the specified fill character (default is a space).

lower

def lower(
    self,
    /
)

Return a copy of the string converted to lowercase.

lstrip

def lstrip(
    self,
    chars=None,
    /
)

Return a copy of the string with leading whitespace removed.

If chars is given and not None, remove characters in chars instead.

partition

def partition(
    self,
    sep,
    /
)

Partition the string into three parts using the given separator.

This will search for the separator in the string. If the separator is found, returns a 3-tuple containing the part before the separator, the separator itself, and the part after it.

If the separator is not found, returns a 3-tuple containing the original string and two empty strings.

removeprefix

def removeprefix(
    self,
    prefix,
    /
)

Return a str with the given prefix string removed if present.

If the string starts with the prefix string, return string[len(prefix):]. Otherwise, return a copy of the original string.

removesuffix

def removesuffix(
    self,
    suffix,
    /
)

Return a str with the given suffix string removed if present.

If the string ends with the suffix string and that suffix is not empty, return string[:-len(suffix)]. Otherwise, return a copy of the original string.

replace

def replace(
    self,
    old,
    new,
    count=-1,
    /
)

Return a copy with all occurrences of substring old replaced by new.

count Maximum number of occurrences to replace. -1 (the default value) means replace all occurrences.

If the optional argument count is given, only the first count occurrences are replaced.

rfind

def rfind(
    ...
)

S.rfind(sub[, start[, end]]) -> int

Return the highest index in S where substring sub is found, such that sub is contained within S[start:end]. Optional arguments start and end are interpreted as in slice notation.

Return -1 on failure.

rindex

def rindex(
    ...
)

S.rindex(sub[, start[, end]]) -> int

Return the highest index in S where substring sub is found, such that sub is contained within S[start:end]. Optional arguments start and end are interpreted as in slice notation.

Raises ValueError when the substring is not found.

rjust

def rjust(
    self,
    width,
    fillchar=' ',
    /
)

Return a right-justified string of length width.

Padding is done using the specified fill character (default is a space).

rpartition

def rpartition(
    self,
    sep,
    /
)

Partition the string into three parts using the given separator.

This will search for the separator in the string, starting at the end. If the separator is found, returns a 3-tuple containing the part before the separator, the separator itself, and the part after it.

If the separator is not found, returns a 3-tuple containing two empty strings and the original string.

rsplit

def rsplit(
    self,
    /,
    sep=None,
    maxsplit=-1
)

Return a list of the substrings in the string, using sep as the separator string.

sep The separator used to split the string.

When set to None (the default value), will split on any whitespace
character (including \n \r \t \f and spaces) and will discard
empty strings from the result.

maxsplit Maximum number of splits. -1 (the default value) means no limit.

Splitting starts at the end of the string and works to the front.

rstrip

def rstrip(
    self,
    chars=None,
    /
)

Return a copy of the string with trailing whitespace removed.

If chars is given and not None, remove characters in chars instead.

split

def split(
    self,
    /,
    sep=None,
    maxsplit=-1
)

Return a list of the substrings in the string, using sep as the separator string.

sep The separator used to split the string.

When set to None (the default value), will split on any whitespace
character (including \n \r \t \f and spaces) and will discard
empty strings from the result.

maxsplit Maximum number of splits. -1 (the default value) means no limit.

Splitting starts at the front of the string and works to the end.

Note, str.split() is mainly useful for data that has been intentionally delimited. With natural text that includes punctuation, consider using the regular expression module.

splitlines

def splitlines(
    self,
    /,
    keepends=False
)

Return a list of the lines in the string, breaking at line boundaries.

Line breaks are not included in the resulting list unless keepends is given and true.

startswith

def startswith(
    ...
)

S.startswith(prefix[, start[, end]]) -> bool

Return True if S starts with the specified prefix, False otherwise. With optional start, test S beginning at that position. With optional end, stop comparing S at that position. prefix can also be a tuple of strings to try.

strip

def strip(
    self,
    chars=None,
    /
)

Return a copy of the string with leading and trailing whitespace removed.

If chars is given and not None, remove characters in chars instead.

swapcase

def swapcase(
    self,
    /
)

Convert uppercase characters to lowercase and lowercase characters to uppercase.

title

def title(
    self,
    /
)

Return a version of the string where each word is titlecased.

More specifically, words start with uppercased characters and all remaining cased characters have lower case.

translate

def translate(
    self,
    table,
    /
)

Replace each character in the string using the given translation table.

table Translation table, which must be a mapping of Unicode ordinals to Unicode ordinals, strings, or None.

The table must implement lookup/indexing via getitem, for instance a dictionary or list. If this operation raises LookupError, the character is left untouched. Characters mapped to None are deleted.

upper

def upper(
    self,
    /
)

Return a copy of the string converted to uppercase.

zfill

def zfill(
    self,
    width,
    /
)

Pad a numeric string with zeros on the left, to fill a field of the given width.

The string is never truncated.

Items

class Items(
    /,
    **data: 'Any'
)

A group of STAC Item objects, in the form of a dictionary from Item.id -> Item.

Ancestors (in MRO)

• pydantic.main.BaseModel

Class variables

model_computed_fields

model_config

model_fields

Static methods

construct

def construct(
    _fields_set: 'set[str] | None' = None,
    **values: 'Any'
) -> 'Self'

from_orm

def from_orm(
    obj: 'Any'
) -> 'Self'

model_construct

def model_construct(
    _fields_set: 'set[str] | None' = None,
    **values: 'Any'
) -> 'Self'

Creates a new instance of the Model class with validated data.

Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.

Note

model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == 'allow', then all extra passed values are added to the model instance's __dict__ and __pydantic_extra__ fields. If model_config.extra == 'ignore' (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == 'forbid' does not result in an error if extra values are passed, but they will be ignored.

Parameters:

Name	Type	Description	Default
_fields_set	None	A set of field names that were originally explicitly set during instantiation. If provided, this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.	None
values	None	Trusted or pre-validated data dictionary.	None

Returns:

Type	Description
None	A new instance of the Model class with validated data.

model_json_schema

def model_json_schema(
    by_alias: 'bool' = True,
    ref_template: 'str' = '#/$defs/{model}',
    schema_generator: 'type[GenerateJsonSchema]' = <class 'pydantic.json_schema.GenerateJsonSchema'>,
    mode: 'JsonSchemaMode' = 'validation'
) -> 'dict[str, Any]'

Generates a JSON schema for a model class.

Parameters:

Name	Type	Description	Default
by_alias	None	Whether to use attribute aliases or not.	None
ref_template	None	The reference template.	None
schema_generator	None	To override the logic used to generate the JSON schema, as a subclass of GenerateJsonSchema with your desired modifications	None
mode	None	The mode in which to generate the schema.	None

Returns:

Type	Description
None	The JSON schema for the given model class.

model_parametrized_name

def model_parametrized_name(
    params: 'tuple[type[Any], ...]'
) -> 'str'

Compute the class name for parametrizations of generic classes.

This method can be overridden to achieve a custom naming scheme for generic BaseModels.

Parameters:

Name	Type	Description	Default
params	None	Tuple of types of the class. Given a generic class Model with 2 type variables and a concrete model Model[str, int], the value (str, int) would be passed to params.	None

Returns:

Type	Description
None	String representing the new class where params are passed to cls as type variables.

Raises:

Type	Description
TypeError	Raised when trying to generate concrete names for non-generic models.

model_rebuild

def model_rebuild(
    *,
    force: 'bool' = False,
    raise_errors: 'bool' = True,
    _parent_namespace_depth: 'int' = 2,
    _types_namespace: 'dict[str, Any] | None' = None
) -> 'bool | None'

Try to rebuild the pydantic-core schema for the model.

This may be necessary when one of the annotations is a ForwardRef which could not be resolved during the initial attempt to build the schema, and automatic rebuilding fails.

Parameters:

Name	Type	Description	Default
force	None	Whether to force the rebuilding of the model schema, defaults to False.	None
raise_errors	None	Whether to raise errors, defaults to True.	None
_parent_namespace_depth	None	The depth level of the parent namespace, defaults to 2.	None
_types_namespace	None	The types namespace, defaults to None.	None

Returns:

Type	Description
None	Returns None if the schema is already "complete" and rebuilding was not required. If rebuilding was required, returns True if rebuilding was successful, otherwise False.

model_validate

def model_validate(
    obj: 'Any',
    *,
    strict: 'bool | None' = None,
    from_attributes: 'bool | None' = None,
    context: 'Any | None' = None
) -> 'Self'

Validate a pydantic model instance.

Parameters:

Name	Type	Description	Default
obj	None	The object to validate.	None
strict	None	Whether to enforce types strictly.	None
from_attributes	None	Whether to extract data from object attributes.	None
context	None	Additional context to pass to the validator.	None

Returns:

Type	Description
None	The validated model instance.

Raises:

Type	Description
ValidationError	If the object could not be validated.

model_validate_json

def model_validate_json(
    json_data: 'str | bytes | bytearray',
    *,
    strict: 'bool | None' = None,
    context: 'Any | None' = None
) -> 'Self'

Usage docs: docs.pydantic.dev/2.9/concepts/json/#json-parsing

Validate the given JSON data against the Pydantic model.

Parameters:

Name	Type	Description	Default
json_data	None	The JSON data to validate.	None
strict	None	Whether to enforce types strictly.	None
context	None	Extra variables to pass to the validator.	None

Returns:

Type	Description
None	The validated Pydantic model.

Raises:

Type	Description
ValidationError	If json_data is not a JSON string or the object could not be validated.

model_validate_strings

def model_validate_strings(
    obj: 'Any',
    *,
    strict: 'bool | None' = None,
    context: 'Any | None' = None
) -> 'Self'

Validate the given object with string data against the Pydantic model.

Parameters:

Name	Type	Description	Default
obj	None	The object containing string data to validate.	None
strict	None	Whether to enforce types strictly.	None
context	None	Extra variables to pass to the validator.	None

Returns:

Type	Description
None	The validated Pydantic model.

parse_file

def parse_file(
    path: 'str | Path',
    *,
    content_type: 'str | None' = None,
    encoding: 'str' = 'utf8',
    proto: 'DeprecatedParseProtocol | None' = None,
    allow_pickle: 'bool' = False
) -> 'Self'

parse_obj

def parse_obj(
    obj: 'Any'
) -> 'Self'

parse_raw

def parse_raw(
    b: 'str | bytes',
    *,
    content_type: 'str | None' = None,
    encoding: 'str' = 'utf8',
    proto: 'DeprecatedParseProtocol | None' = None,
    allow_pickle: 'bool' = False
) -> 'Self'

schema

def schema(
    by_alias: 'bool' = True,
    ref_template: 'str' = '#/$defs/{model}'
) -> 'Dict[str, Any]'

schema_json

def schema_json(
    *,
    by_alias: 'bool' = True,
    ref_template: 'str' = '#/$defs/{model}',
    **dumps_kwargs: 'Any'
) -> 'str'

update_forward_refs

def update_forward_refs(
    **localns: 'Any'
) -> 'None'

validate

def validate(
    value: 'Any'
) -> 'Self'

Instance variables

model_extra

Get extra fields set during validation.

model_fields_set

Returns the set of fields that have been explicitly set on this model instance.

Methods

copy

def copy(
    self,
    *,
    include: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
    exclude: 'AbstractSetIntStr | MappingIntStrAny | None' = None,
    update: 'Dict[str, Any] | None' = None,
    deep: 'bool' = False
) -> 'Self'

Returns a copy of the model.

Deprecated

This method is now deprecated; use model_copy instead.

If you need include or exclude, use:

data = self.model_dump(include=include, exclude=exclude, round_trip=True)
data = {**data, **(update or {})}
copied = self.model_validate(data)

Parameters:

Name	Type	Description	Default
include	None	Optional set or mapping specifying which fields to include in the copied model.	None
exclude	None	Optional set or mapping specifying which fields to exclude in the copied model.	None
update	None	Optional dictionary of field-value pairs to override field values in the copied model.	None
deep	None	If True, the values of fields that are Pydantic models will be deep-copied.	None

Returns:

Type	Description
None	A copy of the model with included, excluded and updated fields as specified.

dict

def dict(
    self,
    *,
    include: 'IncEx | None' = None,
    exclude: 'IncEx | None' = None,
    by_alias: 'bool' = False,
    exclude_unset: 'bool' = False,
    exclude_defaults: 'bool' = False,
    exclude_none: 'bool' = False
) -> 'Dict[str, Any]'

json

def json(
    self,
    *,
    include: 'IncEx | None' = None,
    exclude: 'IncEx | None' = None,
    by_alias: 'bool' = False,
    exclude_unset: 'bool' = False,
    exclude_defaults: 'bool' = False,
    exclude_none: 'bool' = False,
    encoder: 'Callable[[Any], Any] | None' = PydanticUndefined,
    models_as_dict: 'bool' = PydanticUndefined,
    **dumps_kwargs: 'Any'
) -> 'str'

model_copy

def model_copy(
    self,
    *,
    update: 'dict[str, Any] | None' = None,
    deep: 'bool' = False
) -> 'Self'

Usage docs: docs.pydantic.dev/2.9/concepts/serialization/#model_copy

Returns a copy of the model.

Parameters:

Name	Type	Description	Default
update	None	Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.	None
deep	None	Set to True to make a deep copy of the model.	None

Returns:

Type	Description
None	New model instance.

model_dump

def model_dump(
    self,
    *,
    mode: "Literal['json', 'python'] | str" = 'python',
    include: 'IncEx | None' = None,
    exclude: 'IncEx | None' = None,
    context: 'Any | None' = None,
    by_alias: 'bool' = False,
    exclude_unset: 'bool' = False,
    exclude_defaults: 'bool' = False,
    exclude_none: 'bool' = False,
    round_trip: 'bool' = False,
    warnings: "bool | Literal['none', 'warn', 'error']" = True,
    serialize_as_any: 'bool' = False
) -> 'dict[str, Any]'

Usage docs: docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

Name	Type	Description	Default
mode	None	The mode in which to_python should run. If mode is 'json', the output will only contain JSON serializable types. If mode is 'python', the output may contain non-JSON-serializable Python objects.	None
include	None	A set of fields to include in the output.	None
exclude	None	A set of fields to exclude from the output.	None
context	None	Additional context to pass to the serializer.	None
by_alias	None	Whether to use the field's alias in the dictionary key if defined.	None
exclude_unset	None	Whether to exclude fields that have not been explicitly set.	None
exclude_defaults	None	Whether to exclude fields that are set to their default value.	None
exclude_none	None	Whether to exclude fields that have a value of None.	None
round_trip	None	If True, dumped values should be valid as input for non-idempotent types such as Json[T].	None
warnings	None	How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors, "error" raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].	None
serialize_as_any	None	Whether to serialize fields with duck-typing serialization behavior.	None

Returns:

Type	Description
None	A dictionary representation of the model.

model_dump_json

def model_dump_json(
    self,
    *,
    indent: 'int | None' = None,
    include: 'IncEx | None' = None,
    exclude: 'IncEx | None' = None,
    context: 'Any | None' = None,
    by_alias: 'bool' = False,
    exclude_unset: 'bool' = False,
    exclude_defaults: 'bool' = False,
    exclude_none: 'bool' = False,
    round_trip: 'bool' = False,
    warnings: "bool | Literal['none', 'warn', 'error']" = True,
    serialize_as_any: 'bool' = False
) -> 'str'

Usage docs: docs.pydantic.dev/2.9/concepts/serialization/#modelmodel_dump_json

Generates a JSON representation of the model using Pydantic's to_json method.

Parameters:

Name	Type	Description	Default
indent	None	Indentation to use in the JSON output. If None is passed, the output will be compact.	None
include	None	Field(s) to include in the JSON output.	None
exclude	None	Field(s) to exclude from the JSON output.	None
context	None	Additional context to pass to the serializer.	None
by_alias	None	Whether to serialize using field aliases.	None
exclude_unset	None	Whether to exclude fields that have not been explicitly set.	None
exclude_defaults	None	Whether to exclude fields that are set to their default value.	None
exclude_none	None	Whether to exclude fields that have a value of None.	None
round_trip	None	If True, dumped values should be valid as input for non-idempotent types such as Json[T].	None
warnings	None	How to handle serialization errors. False/"none" ignores them, True/"warn" logs errors, "error" raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].	None
serialize_as_any	None	Whether to serialize fields with duck-typing serialization behavior.	None

Returns:

Type	Description
None	A JSON string representation of the model.

model_post_init

def model_post_init(
    self,
    _BaseModel__context: 'Any'
) -> 'None'

Override this method to perform additional initialization after __init__ and model_construct.

This is useful if you want to do some validation that requires the entire model to be initialized.