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deeporigin.drug_discovery.konnektor

Synchronous ligand network generation with the Konnektor platform tool.

Attributes

KonnektorNetworkType module-attribute

KonnektorNetworkType = Literal['star', 'mst', 'cyclic']

Classes

Konnektor

Bases: Execution, SyncExecutableMixin

Generate a ligand network with Konnektor and return a :class:KonnektorResult.

Konnektor accepts at least two ligands. Each ligand is synced before execution so the platform can receive either a ligand entity ID or a remote SDF path. The synchronous :meth:run method returns resolved ligand pairs, connectivity, and inline visualization HTML suitable for :class:~deeporigin.drug_discovery.rbfe.RBFE.

Attributes:

Name Type Description
ligands LigandSet

Ligands to connect.

network_type KonnektorNetworkType

Network topology planner, one of "star", "mst", or "cyclic". Defaults to "mst".

Attributes

USER_LOG_COLUMNS class-attribute
USER_LOG_COLUMNS: list[str] = [
    "log_level",
    "tool_key",
    "timestamp",
    "message",
]
client instance-attribute
client: DeepOriginClient = client
cost property
cost: float | None

Actual cost in dollars, set after execution completes.

This property cannot be set manually.

dto property
dto: dict[str, Any] | None

Last tools execution DTO from the platform, if any.

estimate property
estimate: float | None

Cost estimate in dollars, populated when the platform returns a quotation.

Set after run(quote=True), start(quote=True), or any call with approve_amount=0. None until a quotation result is received. This property cannot be set manually.

id property
id: str | None

Platform execution ID when set (read-only).

ligands property
ligands: LigandSet

Ligands to connect.

name instance-attribute
name = name
network_type property
network_type: KonnektorNetworkType

Network topology planner.

runtime property
runtime: float | None

Seconds from DTO startedAt to completedAt or current UTC time.

Uses :attr:dto (same shape as client.executions.get). When completedAt is present, it is the end time; otherwise the end time is datetime.now(timezone.utc). Returns None if there is no DTO or startedAt is missing or empty.

tool_key class-attribute instance-attribute
tool_key: str = TOOL_KEYS_AND_VERSIONS["konnektor"][
    "tool_key"
]
tool_version instance-attribute
tool_version = tool_version

Methods:

confirm
confirm() -> None

Confirm a quoted tools execution on the platform.

Requires :attr:id and status equal to "Quoted". Uses :meth:~deeporigin.platform.executions.Executions.confirm with :data:~deeporigin.utils.constants.TOOL_EXECUTION_POST_TIMEOUT_SECONDS (10 minutes) and retry=False, then applies the returned DTO via :meth:update_from_dto so status, :attr:cost, and :attr:dto reflect the platform response. For direct (blocking) tools the response is typically terminal (Completed); for async tools it may be Created or Running — call :meth:sync until the job finishes.

Raises:

Type Description
ValueError

If there is no platform execution id or status is not "Quoted".

duplicate
duplicate(
    *, client: DeepOriginClient | None = None
) -> Self

Create a fresh copy with the same configuration but no execution state.

Useful after from_id() to re-run the same calculation. The returned instance has no id, status, estimate, or cost — it is ready for run() / start().

Parameters:

Name Type Description Default
client DeepOriginClient | None

Optional API client for the new instance. Falls back to the current instance's client.

None

Returns:

Type Description
Self

A new instance sharing the same domain-specific configuration.

from_dto classmethod
from_dto(
    dto: dict[str, Any],
    *,
    client: DeepOriginClient | None = None
) -> Self

Construct an instance from an execution DTO returned by the platform API.

Creates a bare instance via object.__new__ (bypassing __init__) and populates common tools execution fields (including :attr:name from the DTO name field) via :meth:update_from_dto. If the instance defines _init_after_from_dto (e.g. :class:~deeporigin.drug_discovery.notebook_watch_mixin.NotebookWatchMixin), it is called after common fields are set. Subclasses should call super().from_dto() then rehydrate domain-specific fields from instance._dto["userInputs"].

Parameters:

Name Type Description Default
dto dict[str, Any]

Execution payload (same shape as client.executions.get).

required
client DeepOriginClient | None

Optional API client. Uses the default if not provided.

None

Returns:

Type Description
Self

A partially-hydrated instance with common fields populated.

Raises:

Type Description
NotImplementedError

If cls has no tool_key (bare :class:Execution).

ValueError

If the DTO tool.key does not match cls.tool_key.

from_id classmethod
from_id(
    id: str, *, client: DeepOriginClient | None = None
) -> Self

Construct an instance from an existing platform execution ID.

Fetches the execution DTO via client.executions.get and delegates to :meth:from_dto. Concrete subclasses override :meth:from_dto to attach domain state from userInputs.

Parameters:

Name Type Description Default
id str

Platform execution ID.

required
client DeepOriginClient | None

Optional API client. Uses the default if not provided.

None

Returns:

Type Description
Self

A partially-hydrated instance with common fields populated.

Raises:

Type Description
NotImplementedError

If cls has no tool_key (bare :class:Execution).

from_last_run classmethod
from_last_run(
    *, client: DeepOriginClient | None = None
) -> Self

Construct an instance from the most recently created execution of this tool.

Calls client.executions.list with tool_key, order set to :data:~deeporigin.utils.constants.EXECUTION_LIST_ORDER_CREATED_DESC, and page_size=1, then delegates to :meth:from_dto. Concrete subclasses inherit this method; domain state is restored via their from_dto overrides.

Parameters:

Name Type Description Default
client DeepOriginClient | None

Optional API client. Uses the default if not provided.

None

Returns:

Type Description
Self

A partially-hydrated instance for the newest execution by

Self

createdAt.

Raises:

Type Description
NotImplementedError

If cls has no tool_key (bare :class:Execution).

ValueError

If no executions exist for this tool type.

get_results
get_results(**kwargs: Any) -> Any

Fetch results for this execution from the data platform.

Thin wrapper around :meth:deeporigin.platform.results.Results.get scoped to this execution's compute_job_id. Subclasses that need result-type-specific filtering (e.g. poses, prepared systems) should override this method and call the appropriate Results wrapper directly rather than teaching this base method about those filters.

Parameters:

Name Type Description Default
**kwargs Any

Forwarded verbatim to :meth:~deeporigin.platform.results.Results.get (typically filter_dict, limit, select).

{}

Returns:

Type Description
Any

Result-explorer response dict with data and meta keys.

Raises:

Type Description
ValueError

If the execution has no ID yet.

get_user_logs
get_user_logs(
    *,
    limit: int | None = None,
    offset: int | None = None,
    select: list[str] | None = None,
    with_total_count: bool = False
) -> DataFrame | None

Search data-platform user_logs rows for this execution.

Uses :meth:deeporigin.platform.user_logs.UserLogs.search with this execution's id (tools executionId), stored as execution_id on user_logs rows — the same string passed to :meth:get_results as compute_job_id.

When no execution id is assigned yet, returns None without calling the API.

Parameters:

Name Type Description Default
limit int | None

Max rows to return (forwarded to UserLogs.search).

None
offset int | None

Skip offset (forwarded).

None
select list[str] | None

Columns to select (forwarded).

None
with_total_count bool

Request total count from the server (forwarded).

False

Returns:

Type Description
DataFrame | None

A DataFrame with columns log_level, tool_key, timestamp,

DataFrame | None

and message. tool_key omits the deeporigin. prefix;

DataFrame | None

timestamp is a compact humanized relative time. Returns None

DataFrame | None

if this instance has no execution id yet or the client has no

DataFrame | None

user_logs API.

list classmethod
list(
    *,
    client: DeepOriginClient | None = None,
    status: list[str] | None = None
) -> list[Self]

List executions of this tool type from the platform.

Calls client.executions.list(fetch_all_pages=True, tool_key=...), then builds instances via :meth:from_dto. Optional status filters hydrated instances by instance.status.

Parameters:

Name Type Description Default
client DeepOriginClient | None

Optional API client. Uses the default if not provided.

None
status list[str] | None

Optional list of statuses to keep (membership test).

None

Returns:

Type Description
list[Self]

Instances of this class, one per matching execution.

Raises:

Type Description
NotImplementedError

If cls has no tool_key (bare :class:Execution).

run
run(
    *,
    quote: bool = False,
    approve_amount: int | None = None
) -> KonnektorResult | None

Run Konnektor synchronously and return the network result.

Parameters:

Name Type Description Default
quote bool

Shorthand for approve_amount=0. Returns None when the platform returns a quotation.

False
approve_amount int | None

Spend cap forwarded to the platform as approveAmount.

None

Returns:

Name Type Description
A KonnektorResult | None

class:KonnektorResult, or None for quote-only responses.

Raises:

Type Description
DeepOriginException

If the execution does not succeed or the response does not contain a valid v0.5 ligand_network output.

sync
sync() -> None

Fetch the latest tools execution from the platform and refresh fields.

Calls client.executions.get for :attr:id and applies the response with :meth:update_from_dto. Use when the job may have changed outside this process (for example after submission from the web UI), to poll lifecycle state, or to refresh an instance built from an older DTO. Available on sync-only and async execution types alike.

If executions.get returns a falsy value, this instance is left unchanged.

Raises:

Type Description
ValueError

If this instance has no execution id yet.

NotImplementedError

If type(self).tool_key is empty (bare :class:Execution).

ValueError

If the returned DTO tool.key does not match this class (see :meth:update_from_dto).

update_from_dto
update_from_dto(dto: dict[str, Any]) -> None

Apply tools execution fields from dto onto this instance.

Updates id, pricing, lifecycle fields, and _dto the same way as :meth:from_dto for a newly created instance. Use after a live executions.create / sync() response to refresh state without constructing a new object (domain inputs on self are unchanged).

Parameters:

Name Type Description Default
dto dict[str, Any]

Execution payload (same shape as client.executions.get).

required

Raises:

Type Description
NotImplementedError

If type(self) has no tool_key (bare :class:Execution).

ValueError

If the DTO tool.key does not match tool_key.

wait
wait(
    *,
    poll_interval: float = 5.0,
    timeout: float | None = None
) -> dict[str, Any] | None

Block until this execution reaches a terminal state.

Parameters:

Name Type Description Default
poll_interval float

Seconds to sleep between polling cycles.

5.0
timeout float | None

Maximum total seconds to wait. If None, waits indefinitely.

None

Returns:

Type Description
dict[str, Any] | None

The latest execution DTO, or None if the platform returned no DTO.

Raises:

Type Description
ValueError

If this instance has no execution id yet.

TimeoutError

If timeout elapses before the execution terminates.

KonnektorResult dataclass

Result of a successful Konnektor synchronous run.

Attributes:

Name Type Description
pairs list[tuple[Ligand, Ligand]]

Resolved ligand pairs from the planned network edges.

is_connected bool

Whether the generated network is fully connected.

network_html str

Inline interactive network visualization HTML.

Attributes

is_connected instance-attribute
is_connected: bool
network_html instance-attribute
network_html: str
pairs instance-attribute
pairs: list[tuple[Ligand, Ligand]]

Methods:

show_network
show_network() -> None

Display the network visualization in IPython.

Functions: