prelinger.prelinger_models

Attributes

here

Classes

PrelingerItem	Represents a single video item from the Prelinger Archives at the Internet Archive.
PrelingerMetadataResponse	Full response envelope returned by GET https://archive.org/metadata/{identifier}.
PrelingerSearchResponseInner	!!! abstract "Usage Documentation"
PrelingerSearchResponse	Response from the Internet Archive advanced-search API used to discover
PrelingerModel	A list of PrelingerItem objects, used for JSON serialisation of bulk imports.

Functions

_coerce_to_list(→ list[str])

Normalize a string or list value to a flat list of strings.

Module Contents

prelinger.prelinger_models._coerce_to_list(item: str | list[str]) → list[str]

Normalize a string or list value to a flat list of strings.

class prelinger.prelinger_models.PrelingerItem(/, **data: Any)

Bases: pydantic.BaseModel

Represents a single video item from the Prelinger Archives at the Internet Archive.

Fields map directly to the metadata object returned by the md-read API: GET https://archive.org/metadata/{identifier}

Also used as the document type within PrelingerSearchResponseInner.docs since the Advanced Search API returns the same fields.

identifier: str = ''

title: str = ''

description: str = ''

creator: list[str] = None

subject: list[str] = None

date: str = ''

licenseurl: str = ''

mediatype: str = ''

classmethod coerce_to_list(item: str | list[str]) → list[str]

Normalize string values to a list of strings.

class prelinger.prelinger_models.PrelingerMetadataResponse(/, **data: Any)

Bases: pydantic.BaseModel

Full response envelope returned by GET https://archive.org/metadata/{identifier}.

metadata: PrelingerItem

class prelinger.prelinger_models.PrelingerSearchResponseInner(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom __init__ function. __pydantic_decorators__: Metadata containing the decorators defined on the model.

This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__: A dictionary containing metadata about generic Pydantic models.

The origin and args items map to the [__origin__][genericalias.__origin__] and [__args__][genericalias.__args__] attributes of [generic aliases][types-genericalias], and the parameter item maps to the __parameter__ attribute of generic classes.

__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel]. __pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model. __pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra]

is set to ‘allow’.

__pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance.

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

num_found: int = None

start: int = 0

docs: list[PrelingerItem] = None

class prelinger.prelinger_models.PrelingerSearchResponse(/, **data: Any)

Bases: pydantic.BaseModel

Response from the Internet Archive advanced-search API used to discover Prelinger videos: GET https://archive.org/advancedsearch.php?q=collection:prelinger+...&output=json

response: PrelingerSearchResponseInner

class prelinger.prelinger_models.PrelingerModel

Bases: pydantic.RootModel[list[PrelingerItem]]

A list of PrelingerItem objects, used for JSON serialisation of bulk imports.

prelinger.prelinger_models.here