A file containing image data.
| Name | Type | Description | Notes |
|---|---|---|---|
| anvil_url | str | URL linking to the controlled access file that has been deposited at AnVIL workspace. | [optional] |
| catalog_collections | List[str] | The collections in the IGVF catalog that contain the data in this file. | [optional] |
| catalog_class | str | The class curated in the IGVF catalog that the data in this file belongs to. | [optional] |
| catalog_notes | str | DACC notes for data loading in the IGVF catalog | [optional] |
| preview_timestamp | str | The date the object was previewed. | [optional] |
| release_timestamp | str | The date the object was released. | [optional] |
| documents | List[str] | Documents that provide additional information (not data file). | [optional] |
| lab | str | Lab associated with the submission. | [optional] |
| award | str | Grant associated with the submission. | [optional] |
| accession | str | A unique identifier to be used to reference the object prefixed with IGVF. | [optional] |
| alternate_accessions | List[str] | Accessions previously assigned to objects that have been merged with this object. | [optional] |
| collections | List[str] | Some samples are part of particular data collections. | [optional] |
| status | str | The status of the metadata object. | [optional] |
| revoke_detail | str | Explanation of why an object was transitioned to the revoked status. | [optional] |
| schema_version | str | The version of the JSON schema that the server uses to validate the object. | [optional] |
| uuid | str | The unique identifier associated with every object. | [optional] |
| notes | str | DACC internal notes. | [optional] |
| aliases | List[str] | Lab specific identifiers to reference an object. | [optional] |
| creation_timestamp | str | The date the object was created. | [optional] |
| submitted_by | str | The user who submitted the object. | [optional] |
| submitter_comment | str | Additional information specified by the submitter to be displayed as a comment on the portal. | [optional] |
| description | str | A plain text description of the object. | [optional] |
| analysis_step_version | str | The analysis step version of the file. | [optional] |
| content_md5sum | str | The MD5sum of the uncompressed file. | [optional] |
| content_type | str | The type of content in the file. | [optional] |
| dbxrefs | List[str] | Identifiers from external resources that may have 1-to-1 or 1-to-many relationships with IGVF file objects. | [optional] |
| derived_from | List[str] | The files participating as inputs into software to produce this output file. | [optional] |
| derived_manually | bool | A boolean indicating whether the file has been dervided manually without automated computational methods. | [optional] |
| file_format | str | The file format or extension of the file. | [optional] |
| file_format_specifications | List[str] | Documents that describe the file format and fields of this file. | [optional] |
| file_set | str | The file set that this file belongs to. | [optional] |
| file_size | int | File size specified in bytes. | [optional] |
| md5sum | str | The md5sum of the file being transferred. | [optional] |
| submitted_file_name | str | Original name of the file. | [optional] |
| upload_status | str | The upload/validation status of the file. | [optional] |
| validation_error_detail | str | Explanation of why the file failed the automated content checks. | [optional] |
| checkfiles_version | str | The Checkfiles GitHub version release the file was validated with. | [optional] |
| checkfiles_timestamp | str | The date and time the file object was last checked by the Checkfiles script. | [optional] |
| supersedes | List[str] | The file(s) that this file supersedes by virtue of being newer, better, or a fixed version of etc. than the one(s) it supersedes. | [optional] |
| imaging_platform | str | The measurement device used to produce imaging data. | [optional] |
| id | str | [optional] | |
| type | List[str] | [optional] | |
| summary | str | A summary of the image file. | [optional] |
| integrated_in | List[str] | Construct library set(s) that this file was used for in insert design. | [optional] |
| input_file_for | List[str] | The files which are derived from this file. | [optional] |
| gene_list_for | List[str] | File Set(s) that this file is a gene list for. | [optional] |
| loci_list_for | List[str] | File Set(s) that this file is a loci list for. | [optional] |
| quality_metrics | List[str] | The quality metrics that are associated with this file. | [optional] |
| superseded_by | List[str] | File(s) this file is superseded by virtue of those file(s) being newer, better, or a fixed version of etc. than this one. | [optional] |
| assay_titles | List[str] | Title(s) of assay from the file set this file belongs to. | [optional] |
| preferred_assay_titles | List[str] | Preferred assay titles from the file set this file belongs to. | [optional] |
| workflows | List[str] | The workflows associated with the analysis step version used to produce this file. | [optional] |
| href | str | The download path to obtain file. | [optional] |
| s3_uri | str | The S3 URI of public file object. | [optional] |
| upload_credentials | object | The upload credentials for S3 to submit the file content. | [optional] |
from igvf_client.models.image_file import ImageFile
# TODO update the JSON string below
json = "{}"
# create an instance of ImageFile from a JSON string
image_file_instance = ImageFile.from_json(json)
# print the JSON string representation of the object
print(ImageFile.to_json())
# convert the object into a dict
image_file_dict = image_file_instance.to_dict()
# create an instance of ImageFile from a dict
image_file_from_dict = ImageFile.from_dict(image_file_dict)