A video indexing task represents a request to upload and index a video. The resources.Task class provides methods to manage your video indexing tasks.

Methods

Create a video indexing task

Description: This method creates a new video indexing task that uploads and indexes a video.

Function signature and example:

def create(
    self,
    index_id: str,
    *,
    file: Union[str, BinaryIO, None] = None,
    url: Optional[str] = None,
    transcription_file: Union[str, BinaryIO, None] = None,
    transcription_url: Optional[str] = None,
    language: Optional[str] = None,
    disable_video_stream: Optional[bool] = None,
    **kwargs,
) -> models.Task

from twelvelabs.models.task import Task

task = client.task.create(
  index_id=<"<YOUR_INDEX_ID>",
  file="<YOUR_FILE_PATH>",
  transcription_file="<YOUR_TRANSCRIPTION_FILE>"
)
print(f"Task id={task.id}")

# Utility function to print the status of a video indexing task
def on_task_update(task: Task):
      print(f"  Status={task.status}")

task.wait_for_done(sleep_interval=5, callback=on_task_update)

if task.status != "ready":
  raise RuntimeError(f"Indexing failed with status {task.status}")
print(f"Video ID: {task.video_id}")

Parameters:

Name	Type	Required	Description
`index_d`	`str`	Yes	The unique identifier of the index to which the video will be uploaded.
`file`	`Union[str, BinaryIO, None]`	No	Path to the video file or a file-like object.
`url`	`Optional[str]`	No	The publicly accessible URL of the video you want to upload.
`transcription_file`	`Union[str, BinaryIO, None]`	No	Path to the transcription file or a file-like object.
`transcription_url`	`Optional[str]`	No	The URL of the transcription file.
`language`	`Optional[str]`	No	The language of the video.
`disable_video_stream`	`Optional[str]`	No	Indicates if the platform stores the video for streaming.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.Task instance representing the newly created video indexing task.

📘
Note:
As shown in the example code above, you can use the waitForDone method of the models.Task class to monitor the status of a video indexing task until it completes.

API Reference: For a description of each field in the request and response, see the Create a video indexing task page.

Related guide: Upload single videos.

Retrieve a video indexing task

Description: This method retrieves the details of a specific task.

Function signature and example:

def retrieve(self, id: str, **kwargs) -> models.Task

retrieved_task = client.task.retrieve("<YOUR_TASK_ID>")

print(f"Task ID: {retrieved_task.id}")
print(f"Index ID: {retrieved_task.index_id}")
print(f"Video ID: {retrieved_task.video_id}")
print(f"Estimated time: {retrieved_task.estimated_time}")
print(f"Status: {retrieved_task.status}")
print("Metadata:")
for key, value in retrieved_task.metadata.items():
    print(f"  {key}: {value}")

if retrieved_task.hls:
    print("HLS:")
    print(f"  Video URL: {retrieved_task.hls.video_url}")
    print("  Thumbnail URLs:")
    for url in retrieved_task.hls.thumbnail_urls or []:
        print(f"    {url}")
    print(f"  Status: {retrieved_task.hls.status}")
    print(f"  Updated at: {retrieved_task.hls.updated_at}")

if retrieved_task.process:
    print("Process:")
    print(f"  Percentage: {retrieved_task.process.percentage}%")
    print(f"  Remaining Seconds: {retrieved_task.process.remain_seconds}")

print(f"Created at: {retrieved_task.created_at}")
print(f"Updated at: {retrieved_task.updated_at}")

Parameters

Name	Type	Required	Description
`id`	`str`	Yes	The unique identifier of the task to retrieve.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.Task object representing the retrieved video indexing task.

API Reference: For a description of each field in the response, see the Retrieve a video indexing task.

List video indexing tasks with direct pagination

Description: This method returns a list of the video indexing tasks in your account. By default, the platform returns your video indexing tasks sorted by creation date, with the newest at the top of the list. Choose this method mainly when the total number of items is manageable, or you must fetch a single page of results.

Function signature and example:

def list(
    self,
    *,
    id: Optional[str] = None,
    index_id: Optional[str] = None,
    filename: Optional[str] = None,
    duration: Optional[float] = None,
    width: Optional[int] = None,
    height: Optional[int] = None,
    created_at: Optional[Union[str, Dict[str, str]]] = None,
    updated_at: Optional[Union[str, Dict[str, str]]] = None,
    estimated_time: Optional[str] = None,
    page: Optional[int] = None,
    page_limit: Optional[int] = None,
    sort_by: Optional[str] = None,
    sort_option: Optional[str] = None,
    **kwargs,
) -> RootModelList[models.Task]:

tasks = client.task.list(
  id="<YOUR_TASK_ID>",
  index_id="<YOUR_INDEX_ID>",
  filename="<YOUR_FILENAME>",
  duration=20,
  width=1920,
  height=1080,
  sort_by = "updated_at",
  sort_option="asc",
  created_at="2024-09-17T07:53:46.365Z",
  updated_at="2024-09-17T07:53:46.365Z",
  estimated_time="2024-09-17T07:55:22.125Z",
  page=2,
  page_limit=5,
)
for task in tasks:
  print(f"Task ID: {task.id}")
  print(f"Index ID: {task.index_id}")
  print(f"Video ID: {task.video_id}")
  print(f"Estimated time: {task.estimated_time}")
  print(f"Status: {task.status}")
  print("Metadata:")
  for key, value in task.metadata.items():
      print(f"  {key}: {value}")

  if task.hls:
      print("HLS:")
      print(f"  Video URL: {task.hls.video_url}")
      print("  Thumbnail URLs:")
      for url in task.hls.thumbnail_urls or []:
          print(f"    {url}")
      print(f"  Status: {task.hls.status}")
      print(f"  Updated at: {task.hls.updated_at}")

  if task.process:
      print("Process:")
      print(f"  Percentage: {task.process.percentage}%")
      print(f"  Remaining Seconds: {task.process.remain_seconds}")

  print(f"Created at: {task.created_at}")
  print(f"Updated at: {task.updated_at}")

Parameters:

Name	Type	Required	Description
`id`	`Optional[str]`	No	Filter by the unique identifier of a video indexing task.
`index_id`	`Optional[str]`	No	Filter by the unique identifier of an index.
`filename`	`Optional[str]`	No	Filter by filename.
`duration`	`Optional[float]`	No	Filter by duration expressed in seconds.
`width`	`Optional[int]`	No	Filter by width.
`height`	`Optional[int]`	No	Filter by height.
`created_at`	`Optional[Union[str, Dict[str, str]]]`	No	Filter by the creation date of the task. This parameter can be a string or a dictionary with string keys and values for range queries.
`updated_at`	`Optional[Union[str, Dict[str, str]]]`	No	Filter by the last update date of the task. This parameter can be a string or a dictionary with string keys and values for range queries.
`estimated_time`	`Optional[str]`	No	Filter by the estimated processing time, expressed in seconds.
`page`	`Optional[int]`	No	Page number for pagination. Defaults to 1.
`page_limit`	`Optional[int]`	No	Number of items per page. Defaults to 10.
`sort_by`	`Optional[str]`	No	Field to sort by ("created_at" or "updated_at"). Defaults to "created_at".
`sort_option`	`Optional[str]`	No	Sort order ("asc" or "desc"). Defaults to "desc".
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a RootModelList containing models.Task objects representing the list of videos that match the specified criteria.

API Reference: For a description of each field in the request and response, see the List video indexing tasks page.

Related guides:

List video indexing tasks with iterative pagination

Description: This method returns a paginated list of the video indexing tasks in your account. Choose this method mainly when your application must retrieve a large number of items. By default, the platform returns your video indexing tasks sorted by creation date, with the newest at the top of the list.

Function signature and example:

def list_pagination(
    self,
    *,
    id: Optional[str] = None,
    index_id: Optional[str] = None,
    filename: Optional[str] = None,
    duration: Optional[float] = None,
    width: Optional[int] = None,
    height: Optional[int] = None,
    created_at: Optional[Union[str, Dict[str, str]]] = None,
    updated_at: Optional[Union[str, Dict[str, str]]] = None,
    estimated_time: Optional[str] = None,
    page: Optional[int] = None,
    page_limit: Optional[int] = None,
    sort_by: Optional[str] = None,
    sort_option: Optional[str] = None,
    **kwargs,
) -> models.TaskListWithPagination

def print_page(page):
    for task in page:
      print(f"Task ID: {task.id}")
      print(f"Index ID: {task.index_id}")
      print(f"Video ID: {task.video_id}")
      print(f"Estimated time: {task.estimated_time}")
      print(f"Status: {task.status}")
      print("Metadata:")
      for key, value in task.metadata.items():
          print(f"  {key}: {value}")

      if task.hls:
          print("HLS:")
          print(f"  Video URL: {task.hls.video_url}")
          print("  Thumbnail URLs:")
          for url in task.hls.thumbnail_urls or []:
              print(f"    {url}")
          print(f"  Status: {task.hls.status}")
          print(f"  Updated at: {task.hls.updated_at}")

      if task.process:
          print("Process:")
          print(f"  Percentage: {task.process.percentage}%")
          print(f"  Remaining Seconds: {task.process.remain_seconds}")

      print(f"Created at: {task.created_at}")
      print(f"Updated at: {task.updated_at}")

# Fetch the initial page of results
task_paginator = client.task.list_pagination(
  id="<YOUR_TASK_ID>",
  index_id="<YOUR_INDEX_ID>",
  filename="<YOUR_FILENAME>",
  duration=20,
  width=1920,
  height=1080,
  sort_by = "updated_at",
  sort_option="asc",
  created_at="2024-09-17T07:53:46.365Z",
  updated_at="2024-09-17T07:53:46.365Z",
  estimated_time="2024-09-17T07:55:22.125Z",
  page=2,
  page_limit=5,
)

# Print the first page of results
print_page(task_paginator.data)

# Iterate through subsequent pages
while True:
    try:
        next_task_page = next(task_paginator)
        print_page(next_task_page)
    except StopIteration:
        break

Parameters:

Name	Type	Required	Description
`id`	`Optional[str]`	No	Filter by the unique identifier of a video indexing task.
`index_id`	`Optional[str]`	No	Filter by the unique identifier of an index.
`filename`	`Optional[str]`	No	Filter by filename.
`duration`	`Optional[float]`	No	Filter by duration expressed in seconds.
`width`	`Optional[int]`	No	Filter by width.
`height`	`Optional[int]`	No	Filter by height.
`created_at`	`Optional[Union[str, Dict[str, str]]]`	No	Filter by the creation date of the task. This parameter can be a string or a dictionary with string keys and values for range queries.
`updated_at`	`Optional[Union[str, Dict[str, str]]]`	No	Filter by the last update date of the task. This parameter can be a string or a dictionary with string keys and values for range queries.
`estimated_time`	`Optional[str]`	No	Filter by the estimated processing time, expressed in seconds.
`page`	`Optional[int]`	No	Page number for pagination. Defaults to 1.
`page_limit`	`Optional[int]`	No	Number of items per page. Defaults to 10.
`sort_by`	`Optional[str]`	No	Field to sort by ("created_at" or "updated_at"). Defaults to "created_at".
`sort_option`	`Optional[str]`	No	Sort order ("asc" or "desc"). Defaults to "desc".
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.TaskListWithPagination object containing the list of videos that match the specified criteria and pagination information.

📘
Note:
To retrieve subsequent pages of results, use the iterator protocol:

Invoke the next function, passing the TaskListWithPagination object as a parameter.

Repeat this call until a StopIteration exception occurs, indicating no more pages exist.

API Reference: For a description of each field in the request and response, see the List video indexing tasks page.

Related guides:

Delete a video indexing task

Description: This method deletes an existing video indexing task.

Function signature and example:

def delete(self, id: str, **kwargs) -> None

client.task.delete("<YOUR_TASK_ID>");

Parameters:

Name	Type	Required	Description
`id`	`str`	Yes	The unique identifier of the video indexing task to delete.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: None. This method doesn't return any data upon successful completion.

API Reference: Delete a video indexing task.

Make a cloud-to-cloud-transfer

NOTE: This method will be deprecated. Twelve Labs recommends you use the Import videos method instead.

Description: This method makes a cloud-to-cloud transfer. Cloud-to-cloud transfers allow you to upload multiple videos at once by grouping multiple video indexing operations in a single API call. Initially, this feature is supported for the "us-west-2" region of AWS S3.

Function signature and example:

def transfer(self, file: BinaryIO, **kwargs) -> None

client.task.transfer(file="<YOUR_JSON_FILE>")

Parameters

Name	Type	Required	Description
`file`	`BinaryIO`	Yes	A JSON file that contains a list of the files you wish to upload.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: None. This method doesn't return any data upon successful completion.

API Reference: For a description of each field in the request, see the Make a cloud-to-cloud transfer page.

Related guide: Cloud-to-cloud transfers

Import videos

Description: An import represents the process of uploading and indexing all videos from the specified integration. This method initiates an asynchronous import.

Function signature and example:

def import_videos(
    self,
    integration_id: str,
    index_id: str,
    user_metadata: Optional[Dict[str, Any]] = None,
    incremental_import: Optional[bool] = None,
    retry_failed: Optional[bool] = None,
    **kwargs,
) -> models.TransferImportResponse

res = client.task.transfers.import_videos(
    "<YOUR_INTEGRATION_ID>",
    "<YOUR_INDEX_ID>",
)
for video in res.videos:
    print(f"video: {video.video_id} {video.filename}")
if res.failed_files:
    for failed_file in res.failed_files:
        print(f"failed_file: {failed_file.filename} {failed_file.error_message}")

Parameters:

Name	Type	Required	Description
`integration_id`	`str`	Yes	The unique identifier of the integration for which you want to import videos.
`index_id`	`str`	Yes	The unique identifier of the index to which the videos are being uploaded.
`user_metadata`	`Optional[Dict[str, Any]] = None`	No	Metadata that helps you categorize your videos.
`incremental_import`	`Optional[bool] = None`	No	Specifies whether or not incremental sync is enabled. If set to `false`, the platform will synchronize all the files in the bucket.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.TransferImportResource object containing two lists:

Videos that will be imported.
Videos that will not be imported, typically due to unmet prerequisites .

API Refference: Import videos.

Related guide: Cloud-to-cloud integrations.

Retrieve import status

Description: This method retrieves the current status for each video from a specified integration and index.

Function signature and example:

def import_status(
    self, integration_id: str, index_id: str, **kwargs
) -> models.TransferImportStatusResponse

status = client.task.transfers.import_status(integration_id, index_id)
for ready in status.ready:
    print(f"ready: {ready.video_id} {ready.filename} {ready.created_at}")
for failed in status.failed:
    print(f"failed: {failed.filename} {failed.error_message}")

Parameters:

Name	Type	Required	Description
`integration_id`	`str`	Yes	The unique identifier of the integration for which you want to retrieve the status of your imported videos.
`index_id`	`str`	Yes	The unique identifier of the index for which you want to retrieve the status of your imported videos.
`**kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.TransferImportStatusResponse object containing lists of videos grouped by status. See the Task object page for details on each status.

API Reference: Retrieve import status.

Related guide: Cloud-to-cloud integrations.

Retrieve import logs

Description: This method returns a chronological list of import operations for the specified integration.

Function signature and example:

def import_logs(
    self, integration_id: str, **kwargs
) -> RootModelList[models.TransferImportLog]

logs = client.task.transfers.import_logs("<YOUR_INTEGRATION_ID>")
for log in logs:
    print(
        f"index_id={log.index_id} index_name={log.index_name} created_at={log.created_at} ended_at={log.ended_at} video_status={log.video_status}"
    )
    if log.failed_files:
        for failed_file in log.failed_files:
            print(
                f"failed_file: {failed_file.filename} {failed_file.error_message}"
            )

Parameters:

Name	Type	Required	Description
`integration_id`	`str`	Yes	The unique identifier of the integration for which you want to retrieve the import logs.
`kwargs`	`dict`	No	Additional keyword arguments for the request.

Return value: Returns a models.TransferImportLog object containing a chronological list of import operations for the specified integration. The list is sorted by creation date, with the oldest imports first. Each item in the list contains:

The number of videos in each status
Detailed error information for failed uploads, including filenames and error messages.

API Reference: Retrieve import logs.

Related guide: Cloud-to-cloud integrations.

Upload videos

Methods

Create a video indexing task

📘
Note:

Retrieve a video indexing task

List video indexing tasks with direct pagination

List video indexing tasks with iterative pagination

📘
Note:

Delete a video indexing task

Make a cloud-to-cloud-transfer

Import videos

Retrieve import status

Retrieve import logs

Methods

Create a video indexing task

📘Note:

Retrieve a video indexing task

List video indexing tasks with direct pagination

List video indexing tasks with iterative pagination

📘Note:

Delete a video indexing task

Make a cloud-to-cloud-transfer

Import videos

Retrieve import status

Retrieve import logs

📘
Note:

📘
Note: