SDK Reference

This section covers class and function implementations within the Gencove Explorer SDK.

`gencove_explorer.analysis.Analysis` `dataclass` ¶

Primary object for defining, running, and monitoring an analysis with the Explorer SDK.

For additional details, please see the Analysis docs.

`analysis_prefix` `property` ¶

Unique S3 prefix for user analysis job

`log_group: str` `property` ¶

Internal property to get log group

`delete(force=False)` ¶

Cancels all jobs associated with analysis and deletes all of their respective outputs. Deletes analysis from EOS storage, so cannot be retrieved afterward via AnalysisManager.

Note that only outputs defined within the analysis_context.output container will be deleted, any other outputs must be deleted manually.

By default, will prompt for confirmation before proceeding.

Parameters:

Name	Type	Description	Default
`force`	`bool`	If set to True, will not prompt for confirmation to delete	`False`

`get_name()` ¶

Returns a string name for the Analysis object

Returns:

Type	Description
`str`	`name` of analysis object if availabile, else the `function` name

`get_output(job_index=0)` ¶

Get the output for a specific Analysis job. Defaults to job_index=0

`logs(job_index=0, since=None, live=False, export=None)` ¶

Prints the latest logs of the job to standard output.

Parameters:

Name	Type	Description	Default
`job_index`	`int`	If this is an array job, pass the Job index here. Defaults to 0.	`0`
`since`	`str`	From what time to begin displaying logs. By default, logs will be displayed starting from ten minutes in the past. The value provided can be an ISO 8601 timestamp or a relative time. For relative times, provide a number and a single unit. Supported units include: s (seconds), m (minutes), h (hours), d (days), w (weeks). For example, a value of '5m' would indicate to display logs starting five minutes in the past. Note that multiple units are not supported (i.e. '5h30m').	`None`
`live`	`bool`	True to see a live tail of a running job. Defaults to False.	`False`
`export`	`Optional[str \| File]`	write the logs to a file instead of printing to stdout.	`None`

`run(sdk_commit=None, sdk_branch=None, library_commit=None, library_branch=None, dry_run=False, debug_serialized_objects=False)` ¶

Submit a job to batch cluster

Parameters:

Name	Type	Description	Default
`sdk_branch`	`Optional[str]`	Optionally supply a git branch of the Explorer SDK to install in batch job	`None`
`sdk_commit`	`Optional[str]`	Optionally supply a git commit (first 8 chars) of the Explorer SDK to install in batch job	`None`
`library_branch`	`Optional[str]`	Optionally supply a git branch of the Explorer Library to install in batch job	`None`
`library_commit`	`Optional[str]`	Optionally supply a git commit (first 8 chars) of the Explorer Library to install in batch job	`None`
`dry_run`	`bool`	if flag is set, do not execute any AWS calls	`False`
`debug_serialized_objects`	`bool`	if flag is set, write serialized objects to working dir	`False`

`run_local(job_index=0, env_name=None, debug_serialized_objects=False, dry_run=False, sdk_branch=None, sdk_commit=None, library_branch=None, library_commit=None, container=False)` ¶

Runs analysis on local machine

Note

Can only run on a single input at a time
By default, only runs against first input item
Does not support jobs with dependencies
Does not support logs or job status
Must have >2 vCPUs to run

Parameters:

Name	Type	Description	Default
`job_index`	`int`	The index from supplied inputs to use for processing. Defaults to 0.	`0`
`env_name`	`Optional[str]`	If supplied, will create a virtual env and use Analysis.pip_packages to install dependencies	`None`
`debug_serialized_objects`	`bool`	Set to store serialized objects locally	`False`
`dry_run`	`bool`	Set to prepare job without executing it	`False`
`sdk_branch`	`Optional[str]`	Optionally supply a git branch of the Explorer SDK to install	`None`
`sdk_commit`	`Optional[str]`	Optionally supply a git commit (first 8 chars) of the Explorer SDK to install	`None`
`library_branch`	`Optional[str]`	Optionally supply a git branch of the Explorer Library to install	`None`
`library_commit`	`Optional[str]`	Optionally supply a git commit (first 8 chars) of the Explorer Library to install	`None`
`container`	`bool`	Runs the Analysis locally in a Docker container if set to True.	`False`

`status(job_index=None, include_indices=False, _full=False)` ¶

Returns the status of the Job.

Parameters:

Name	Type	Description	Default
`job_index`	`Optional[int]`	If this is an array job, pass the Job index here. Pass None for array jobs to get the array job status instead of a child job status. Defaults to 0.	`None`
`include_indices`	`bool`	If this is True, will return the index of each job across each batch status type (only applicable for array jobs)	`False`
`_full`	`Optional[bool]`	Set as True if you want the full response from AWS. Otherwise, returns a simple dict that contains the status of the job, and its children in "status" and "status_summary" respectively.	`False`

Returns:

Type	Description
`dict`	Status of the Job

`store_analysis_history(run_type)` ¶

Internal method used to write analysis history

`terminate(job_index=None)` ¶

Terminate a specific analysis job.

The job_index parameter is required if the Analysis is an array job (e.g. len(input) > 1 ).

Note

Any dependent jobs will automatically fail
Termination requests take some time to propagate to the job cluster
Termination requests are idempotent

Parameters:

Name	Type	Description	Default
`job_index`	`Optional[int]`	index of analysis to terminate	`None`

`terminate_all()` ¶

Terminate all jobs for this analysis

Note

All array jobs will be terminated
Termination requests take some time to propagate to the job cluster
Any dependent jobs will automatically fail

`wait(job_statuses, job_index=0, spinner_text='Waiting', spinner_complete_text='Complete')` ¶

Main method for waiting for the current Analysis to reach an AWS batch status listed under job_statuses

Parameters:

Name	Type	Description	Default
`job_statuses`	`List[str]`	list of AWS batch job statuses to wait for	required
`job_index`	`int`	Analysis job index to wait for	`0`
`spinner_text`	`str`	Spinner text to display while waiting	`'Waiting'`
`spinner_complete_text`	`str`	Spinner text to display when target status has been detected	`'Complete'`

`wait_done(job_index=0)` ¶

Wait for Analysis job with index job_index to reach a terminal state (succeeded or failed).

Parameters:

Name	Type	Description	Default
`job_index`	`int`	Analysis job index, defaults to 0	`0`

`wait_running_or_done(job_index=0)` ¶

Wait for Analysis job with index job_index to reach a running or terminal state (succeeded or failed).

Parameters:

Name	Type	Description	Default
`job_index`	`int`	Analysis job index, defaults to 0	`0`

`gencove_explorer.analysis.InputShared` ¶

Object to store shared inputs as defined by user

Examples:

input_shared = InputShared(
    sample_id="ExampleSampleID",
    kmer_length=5
)

`gencove_explorer.analysis.JobDefinition` `dataclass` ¶

Class for defining jobs resources and configuration

Parameters:

Name	Type	Description	Default
`cpu`	`float`	Number of vCPUs to allocate to job	required
`memory_mb`	`int`	Amount of memory in Megabytes to allocate to job	required
`storage_gb`	`int`	Storage in Gigabytes to allocate to job	`20`
`timeout_seconds`	`int`	Amount of time in seconds before job times out	`3600`
`attempts`	`int`	Number of times to retry the submitted job if a failure is encountered	`1`
`privileged`	`bool`	Set to True to run on privileged mode	`False`

`is_custom_image: bool` `property` ¶

Return True if Docker image != default Explorer image, False otherwise

`get_image_name()` ¶

Return image name.

Returns:

Name	Type	Description
`str`	`str`	Image name.

`validate(organization_id=None)` ¶

Validates that the JobDefinition is correct.

Parameters:

Name	Type	Description	Default
`organization_id`	`str`	Organization ID is optional. If passed checks that the compute environment has enough cpus.	`None`

Raises:

Type	Description
`ValueError`	Error message if config is not valid.

`gencove_explorer.analysis.AnalysisContext` `dataclass` ¶

Object for accessing data related to an Analysis job.

Examples:

def my_function(ac: AnalysisContext):
    print(ac.input)

`child_prefix` `property` ¶

Returns prefix to write analysis context results. Uses the batch index to determine prefix within jobs prefix.

e.g. s3://gencove-explorer-1111/users/2222/jobs/3333/outputs/0

`outputs_prefix` `property` ¶

Returns prefix to write outputs of the group results.

e.g. s3://gencove-explorer-1111/users/2222/jobs/3333/outputs

`dependency(dep_name)` ¶

Returns the dependencies of the Job.

Parameters:

Name	Type	Description	Default
`dep_name`	`str`	Name of the function or Analysis Job.	required

Returns:

Type	Description
`Optional[DependencyContainer]`	Optional[DependencyContainer]: A single dependency object. If not found returns `None`.

`gencove_explorer.analysis_manager.AnalysisManager` `dataclass` ¶

Class for browsing and retrieving previously run Analyses.

Examples:

# Instantiate manager
analysis_manager = AnalysisManager()

# List Analyses
analysis_manager.list_analyses()

# Get Analysis
a = analysis_manager.get_analysis("analysis_id")

`get_analysis(analysis_id)` ¶

Restore a previously run Analysis object by ID

Parameters:

Name	Type	Description	Default
`analysis_id`	`str`	analysis ID, can be retrieved with list_analyses() method	required

`list_analyses(since=None, date=None, name=None)` ¶

List user analysis IDs. Can optionally be filtered by relative time, date, or analysis name.

Parameters:

Name	Type	Description	Default
`since`	`Optional[str]`	From what time to begin displaying analysis. By default, all analyses will be disabled. The value provided can be a relative time. To filter, provide a number and a single unit. Supported units include: m - minutes h - hours d - days w - weeks	`None`
`date`	`Optional[str]`	Filter analyses to this date, e.g. '2023-04-28' or '2023-05'	`None`
`name`	`Optional[str]`	Filter analyses by analysis name value (case-insensitive)	`None`

Returns: List of analysis IDs

`gencove_explorer.models.Sample` `dataclass` ¶

Object for interacting with samples available on Gencove platform.

Parameters:

Name	Type	Description	Default
`id`	`str`	sample ID on Gencove platform	required
`client_id`	`Optional[str]`	non-unique name set by the user	`None`
`project`	`Optional[Project]`	Project of which the sample is part of	`None`
`files`	`Optional[dict]`	map of sample deliverables	`None`
`last_status`	`Optional[SampleStatus]`	current sample status	`None`
`archive_last_status`	`Optional[ArchiveSampleStatus]`	current archival status	`None`
`last_metadata`	`Optional[SampleMetadata]`	user-defined metadata	`None`
`trait_scores`	`Optional[dict]`	trait values	`None`
`samples_ancestries`	`Optional[Ancestry]`	ancestry details	`None`
`samples_microbiomes`	`Optional[Microbiome]`	microbiomes details	`None`
`samples_quality_controls`	`Optional[dict]`	QC values	`None`

`restore_samples(project_id, sample_ids='')` `staticmethod` ¶

Restore archived samples.

Parameters:

Name	Type	Description	Default
`project_id`	`str`	project id	required
`sample_ids`	`Optional[str]`	comma separated list of sample IDs, if empty, all archived samples in project will be restored	`''`

`gencove_explorer.file.File` `dataclass` ¶

Represents a file with a local and/or remote location.

This object provides a method to specify and transfer (download and upload) files between local and remote storage.

Can point to these supported sources/destinations via the following parameters: - local: path to local file - remote: supports URL, S3 path, EOS path

File objects can optionally be given a unique name via the name parameter. Note that this parameter dictates the upload destination of the file on EOS storage.

Examples:

```python
from pathlib import Path
from gencove_explorer.models import File, NamedFile

# Uploading a named file
Path("/home/explorer/example_file.txt").write_text("Hello world")
f1 = File(
    remote=NamedFile(path="example_file_1"),
    local="/home/explorer/example_file.txt",
)
f1.upload()

# Downloading the previously uploaded named file
f2 = File(
    remote=NamedFile(path="example_file_1")
)
f2.download(local="/home/explorer/downloaded_named_file.txt")

# Download a file from a remote location to local storage
f3 = File(
    remote="https://www.google.com/robots.txt",
)
f3.download(local="/home/explorer/example_robots.txt")
```

Please see the Storage and File docs for more information on usage.

Parameters:

Name	Description	Default
`name`	Unique name for file	required
`remote`	Path to remote source (e.g. URL, S3 Path, EOS Path)	required
`local`	Local path for file	required

`upload(force=False)` ¶

Method to upload file to user S3 storage.

Notes

Requires self.local is set
Optionally self.name can be set

By default, will raise an exception if the supplied name is already present under the user prefix. This behavior can be overridden with the force parameter.

Parameters:

Name	Type	Description	Default
`force`	`bool`	if True, will ignore name check and can overwrite an existing file	`False`

Returns:

Type	Description
`File`	self File object

`download(local=None, force=False)` ¶

Either retrieves a file from remote storage and downloads to local storage, or generates an empty path that can be written to.

Parameters:

Name	Type	Description	Default
`local`	`Optional[Path \| str]`	Path to download file to	`None`
`force`	`bool`	Overwrite file at local if it already exists	`False`

Returns:

Type	Description
`File`	self File object

`remote_exists()` ¶

Check if associated remote file exists

`execute(*args, capture_output=False)` ¶

Download and execute the current file as a script with args forwarded as command-line parameters.

Note: In case the user needs an interpreter other than /bin/sh, simply add a "shebang" line. For example, to run a Python file add the following shebang as the first line in the file: #!/usr/bin/env python

Parameters:

Name	Type	Description	Default
`*args`		forwarded to script as command-line arguments	`()`
`capture_output`		if True return output as part of CompletedProcess object and do not forward it directly to stdout/stderr	`False`

Returns:

Type	Description
`CompletedProcess`	subprocess.CompletedProcess

`delete_local()` ¶

Deletes file from local storage

`delete_remote()` ¶

Deletes file from remote S3 storage

`delete_all()` ¶

Deletes a file from both local and remote storage, if applicable

`gencove_explorer.file.URLFile` `dataclass` ¶

`url: str` `property` ¶

`exists()` ¶

Return True if remote URL is accessible, False otherwise

`download(local, force=False, chunk_size=1024 * 1024)` ¶

Download file to local storage

Parameters:

Name	Type	Description	Default
`local`	`Path \| str`	Path to download file to	required
`force`	`bool`	Overwrite file if True	`False`
`chunk_size`	`int`	Size of chunks to write in bytes	`1024 * 1024`

Returns:

Type	Description
`Optional[URLFile]`	Local path to downloaded file

`get_filename()` ¶

Attempt to retrieve file name from URL

`gencove_explorer.file.S3File` `dataclass` ¶

`url: str` `property` ¶

Return generated presigned URL for remote object

`exists()` ¶

Return True if remote file is accessible, False otherwise

`download(local, force=False)` ¶

Download remote file to local storage

Parameters:

Name	Type	Description	Default
`local`	`Path \| str`	Local path to download file to	required
`force`	`bool`	Overwrite file at local path if it already exists	`False`

Returns:

Type	Description
`Optional[Union[S3File, EFile]]`	Path to downloaded file

`get_filename()` ¶

Attempts to retrieve file name from object. First attempts to retrieve filename from tag, then falls back to object key

`gencove_explorer.file.EFile` `dataclass` ¶

`gencove_explorer.file.NamedFile` `dataclass` ¶

`gencove_explorer.models.GencoveFile` `dataclass` ¶

`id: Optional[str] = None` `class-attribute` `instance-attribute` ¶

`created: Optional[str] = None` `class-attribute` `instance-attribute` ¶

`size: Optional[float] = None` `class-attribute` `instance-attribute` ¶

`file_type: Optional[FileType] = None` `class-attribute` `instance-attribute` ¶

`last_status: Optional[FileStatus] = None` `class-attribute` `instance-attribute` ¶

`archive_last_status: Optional[ArchiveFileStatus] = None` `class-attribute` `instance-attribute` ¶

`presigned_url: Optional[str] = None` `class-attribute` `instance-attribute` ¶

`gencove_explorer.file_formats.FileFormat` ¶

Base class for various supported file formats (e.g. VCF, BAM)

This serves as a parent class for file format-specific subclasses. It doesn't implement any behavior, but establishes a common interface.

`gencove_explorer.file_formats.BAM` `dataclass` ¶

Represents a BAM (Binary Alignment Map) file.

Attributes:

Name	Type	Description
`file`	`Union[File, Sample]`	The BAM file or sample data.
`index`	`Optional[File]`	The index file associated with the BAM file.
`metadata`	`Optional[dict]`	Additional metadata.

`create_index()` ¶

Create a BAM index file (.bai) for the BAM file associated with this object

`download()` ¶

Analogous to the respective File method. Also generates or retrieves associated index.

`upload(*args, **kwargs)` ¶

Analogous to the respective File method. Also uploads associated index if available.

`gencove_explorer.file_formats.VCF` `dataclass` ¶

Represents a VCF (Variant Call Format) file.

Attributes:

Name	Type	Description
`file`	`Union[File, Sample]`	The VCF file or sample data.
`index`	`Optional[File]`	The index file associated with the VCF file.
`metadata`	`Optional[dict]`	Additional metadata.

`create_index()` ¶

Create a VCF index file (.csi) for the VCF file associated with this object

`download()` ¶

Analogous to the respective File method. Also generates or retrieves associated index.

`upload(*args, **kwargs)` ¶

Analogous to the respective File method. Also uploads associated index if available.

`gencove_explorer.datasets.ReferenceGenome` `dataclass` ¶

Represents a ReferenceGenome dataset.

Attributes:

Name	Type	Description
`version`	`Literal['g1k_v37', 'g1k_v38']`	Version of the dataset
`species`	`Literal['human']`	species of the dataset

`download(include_bwa_indices=False)` ¶

Analogous to the respective File method.

Parameters:

Name	Type	Description	Default
`include_bwa_indices`		Include amb, ann, bwt, pac, and sa indexes	`False`

Returns:

Type	Description
	Path to genome.fasta.gz file

`gencove_explorer.query.Query` `dataclass` ¶

`samples(filters=None, include_related=None, quality_control_types=None, file_types=None)` ¶

`projects(filters=None, include_related=None, file_types=None)` ¶

`gencove_explorer.helpers` ¶

`gencove_explorer.helpers.run_shell_command = run_command` `module-attribute` ¶

Runs the given command in a shell until completion.

Parameters:

Name	Description	Default
`command`	Shell command to be run.	required
`check`	If check is true, and the process exits with a non-zero exit code, a CalledProcessError exception will be raised. Defaults to True.	required
`capture_output`	If capture_output is true, stdout and stderr will be captured.	required

Returns:

Type	Description
	An object representing a process that has finished.

`gencove_explorer.helpers.get_samples = samples_from_objects_or_ids` `module-attribute` ¶

Return a list of samples with the requested File types, given: 1. Project object or id (as strings or UUID) 2. List of Sample objects or ids (as strings or UUIDs)

If providing a list (of Sample objects or ids), all elements must have the same type.

See build_sample_query_parameters() docstring for description of file_types and quality_control_types

Parameters:

Name	Description	Default
`input_data`	A Project object or id, or list of Sample objects or ids.	required
`file_types`	Types of file to include.	required
`quality_control_types`	Quality control types to include.	required
`statuses`	If given only samples with this statuses will be included.	required
`force_query`	Force that input is refreshed from API.	required

Returns:

Type	Description
	List of Sample objects.

`gencove_explorer.helpers.get_projects = projects_from_objects_or_ids` `module-attribute` ¶

Return a list of projects with the requested File types, given ids (as strings or UUID)

If providing a list of ids, all elements must have the same type.

Parameters:

Name	Type	Description	Default
`input_data`		Project id or list of project ids.	required
`file_types`		Types of file to include.	required

Returns:

Type	Description
	List of Project objects.

`gencove_explorer` ¶

Gencove Explorer package.

`gencove_explorer.s3_path_user()` ¶

Returns user's private S3 path.

Data in this path is not accessible by other members and anyone outside the organization.

Returns:

Type	Description
`str`	S3 path of the User

`gencove_explorer.s3_path_shared_org()` ¶

Returns organization's shared S3 path.

Data that is here can be accessed by all members of the organization.

Returns:

Type	Description
`str`	S3 path of the Organization

SDK Reference

gencove_explorer.analysis.Analysis dataclass ¶

analysis_prefix property ¶

log_group: str property ¶

delete(force=False) ¶

get_name() ¶

get_output(job_index=0) ¶

logs(job_index=0, since=None, live=False, export=None) ¶

run(sdk_commit=None, sdk_branch=None, library_commit=None, library_branch=None, dry_run=False, debug_serialized_objects=False) ¶

run_local(job_index=0, env_name=None, debug_serialized_objects=False, dry_run=False, sdk_branch=None, sdk_commit=None, library_branch=None, library_commit=None, container=False) ¶

status(job_index=None, include_indices=False, _full=False) ¶

store_analysis_history(run_type) ¶

terminate(job_index=None) ¶

terminate_all() ¶

wait(job_statuses, job_index=0, spinner_text='Waiting', spinner_complete_text='Complete') ¶

wait_done(job_index=0) ¶

wait_running_or_done(job_index=0) ¶

gencove_explorer.analysis.InputShared ¶

gencove_explorer.analysis.JobDefinition dataclass ¶

is_custom_image: bool property ¶

get_image_name() ¶

validate(organization_id=None) ¶

gencove_explorer.analysis.AnalysisContext dataclass ¶

child_prefix property ¶

outputs_prefix property ¶

dependency(dep_name) ¶

gencove_explorer.analysis_manager.AnalysisManager dataclass ¶

get_analysis(analysis_id) ¶

list_analyses(since=None, date=None, name=None) ¶

gencove_explorer.models.Sample dataclass ¶

restore_samples(project_id, sample_ids='') staticmethod ¶

gencove_explorer.file.File dataclass ¶

upload(force=False) ¶

download(local=None, force=False) ¶

remote_exists() ¶

execute(*args, capture_output=False) ¶

delete_local() ¶

delete_remote() ¶

delete_all() ¶

gencove_explorer.file.URLFile dataclass ¶

url: str property ¶

exists() ¶

download(local, force=False, chunk_size=1024 * 1024) ¶

get_filename() ¶

gencove_explorer.file.S3File dataclass ¶

url: str property ¶

exists() ¶

download(local, force=False) ¶

get_filename() ¶

gencove_explorer.file.EFile dataclass ¶

gencove_explorer.file.NamedFile dataclass ¶

gencove_explorer.models.GencoveFile dataclass ¶

id: Optional[str] = None class-attribute instance-attribute ¶

created: Optional[str] = None class-attribute instance-attribute ¶

size: Optional[float] = None class-attribute instance-attribute ¶

file_type: Optional[FileType] = None class-attribute instance-attribute ¶

last_status: Optional[FileStatus] = None class-attribute instance-attribute ¶

archive_last_status: Optional[ArchiveFileStatus] = None class-attribute instance-attribute ¶

presigned_url: Optional[str] = None class-attribute instance-attribute ¶

gencove_explorer.file_formats.FileFormat ¶

gencove_explorer.file_formats.BAM dataclass ¶

create_index() ¶

download() ¶

upload(*args, **kwargs) ¶

gencove_explorer.file_formats.VCF dataclass ¶

create_index() ¶

download() ¶

upload(*args, **kwargs) ¶

gencove_explorer.datasets.ReferenceGenome dataclass ¶

download(include_bwa_indices=False) ¶

gencove_explorer.query.Query dataclass ¶

samples(filters=None, include_related=None, quality_control_types=None, file_types=None) ¶

projects(filters=None, include_related=None, file_types=None) ¶

gencove_explorer.helpers ¶

gencove_explorer.helpers.run_shell_command = run_command module-attribute ¶

gencove_explorer.helpers.get_samples = samples_from_objects_or_ids module-attribute ¶

gencove_explorer.helpers.get_projects = projects_from_objects_or_ids module-attribute ¶

gencove_explorer ¶

gencove_explorer.s3_path_user() ¶

gencove_explorer.s3_path_shared_org() ¶

`gencove_explorer.analysis.Analysis` `dataclass` ¶

`analysis_prefix` `property` ¶

`log_group: str` `property` ¶

`delete(force=False)` ¶

`get_name()` ¶

`get_output(job_index=0)` ¶

`logs(job_index=0, since=None, live=False, export=None)` ¶

`run(sdk_commit=None, sdk_branch=None, library_commit=None, library_branch=None, dry_run=False, debug_serialized_objects=False)` ¶

`run_local(job_index=0, env_name=None, debug_serialized_objects=False, dry_run=False, sdk_branch=None, sdk_commit=None, library_branch=None, library_commit=None, container=False)` ¶

`status(job_index=None, include_indices=False, _full=False)` ¶

`store_analysis_history(run_type)` ¶

`terminate(job_index=None)` ¶

`terminate_all()` ¶

`wait(job_statuses, job_index=0, spinner_text='Waiting', spinner_complete_text='Complete')` ¶

`wait_done(job_index=0)` ¶

`wait_running_or_done(job_index=0)` ¶

`gencove_explorer.analysis.InputShared` ¶

`gencove_explorer.analysis.JobDefinition` `dataclass` ¶

`is_custom_image: bool` `property` ¶

`get_image_name()` ¶

`validate(organization_id=None)` ¶

`gencove_explorer.analysis.AnalysisContext` `dataclass` ¶

`child_prefix` `property` ¶

`outputs_prefix` `property` ¶

`dependency(dep_name)` ¶

`gencove_explorer.analysis_manager.AnalysisManager` `dataclass` ¶

`get_analysis(analysis_id)` ¶

`list_analyses(since=None, date=None, name=None)` ¶

`gencove_explorer.models.Sample` `dataclass` ¶

`restore_samples(project_id, sample_ids='')` `staticmethod` ¶

`gencove_explorer.file.File` `dataclass` ¶

`upload(force=False)` ¶

`download(local=None, force=False)` ¶

`remote_exists()` ¶

`execute(*args, capture_output=False)` ¶

`delete_local()` ¶

`delete_remote()` ¶

`delete_all()` ¶

`gencove_explorer.file.URLFile` `dataclass` ¶

`url: str` `property` ¶

`exists()` ¶

`download(local, force=False, chunk_size=1024 * 1024)` ¶

`get_filename()` ¶

`gencove_explorer.file.S3File` `dataclass` ¶

`url: str` `property` ¶

`exists()` ¶

`download(local, force=False)` ¶

`get_filename()` ¶

`gencove_explorer.file.EFile` `dataclass` ¶

`gencove_explorer.file.NamedFile` `dataclass` ¶

`gencove_explorer.models.GencoveFile` `dataclass` ¶

`id: Optional[str] = None` `class-attribute` `instance-attribute` ¶

`created: Optional[str] = None` `class-attribute` `instance-attribute` ¶

`size: Optional[float] = None` `class-attribute` `instance-attribute` ¶

`file_type: Optional[FileType] = None` `class-attribute` `instance-attribute` ¶

`last_status: Optional[FileStatus] = None` `class-attribute` `instance-attribute` ¶

`archive_last_status: Optional[ArchiveFileStatus] = None` `class-attribute` `instance-attribute` ¶

`presigned_url: Optional[str] = None` `class-attribute` `instance-attribute` ¶

`gencove_explorer.file_formats.FileFormat` ¶

`gencove_explorer.file_formats.BAM` `dataclass` ¶

`create_index()` ¶

`download()` ¶

`upload(*args, **kwargs)` ¶

`gencove_explorer.file_formats.VCF` `dataclass` ¶

`create_index()` ¶

`download()` ¶

`upload(*args, **kwargs)` ¶

`gencove_explorer.datasets.ReferenceGenome` `dataclass` ¶

`download(include_bwa_indices=False)` ¶

`gencove_explorer.query.Query` `dataclass` ¶

`samples(filters=None, include_related=None, quality_control_types=None, file_types=None)` ¶

`projects(filters=None, include_related=None, file_types=None)` ¶

`gencove_explorer.helpers` ¶

`gencove_explorer.helpers.run_shell_command = run_command` `module-attribute` ¶

`gencove_explorer.helpers.get_samples = samples_from_objects_or_ids` `module-attribute` ¶

`gencove_explorer.helpers.get_projects = projects_from_objects_or_ids` `module-attribute` ¶

`gencove_explorer` ¶

`gencove_explorer.s3_path_user()` ¶

`gencove_explorer.s3_path_shared_org()` ¶