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deeporigin.drug_discovery.patent

Patent drives platform tool deeporigin.draco to extract chemical structures from a PDF document. The workflow is async-only: quote with start(quote=True), confirm(), then wait() and get_results().

Patent -- extract chemical structures from PDF documents via deeporigin.draco.

Attributes

Classes

Patent

Bases: Execution, AsyncExecutableMixin, NotebookWatchMixin

Extract chemical structures from a patent or chemistry PDF.

Async-only workflow backed by platform tool deeporigin.draco. Upload a local PDF with :meth:start, optionally quote first via start(quote=True) and :meth:confirm, then poll with :meth:wait or :meth:sync and read extracted structures via :meth:get_results.

Attributes

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

Actual cost in dollars, set after execution completes.

This property cannot be set manually.

created_at instance-attribute
created_at: str | None = None
created_by instance-attribute
created_by: str | None = None
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).

name instance-attribute
name = name
pdf property
pdf: Path | None

Local PDF path when known (None after :meth:from_dto rehydration).

progress instance-attribute
progress: dict | None = None
remote_pdf_path property
remote_pdf_path: str | None

UFA key for the uploaded PDF after :meth:start or :meth:from_dto.

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.

session instance-attribute
session: str | None = None
started_at instance-attribute
started_at: str | None = None
status instance-attribute
status: PlatformStatus | None = None
tool_key class-attribute instance-attribute
tool_key: str = TOOL_KEYS_AND_VERSIONS["patent"]["tool_key"]
tool_version instance-attribute
tool_version = tool_version

Methods:

cancel
cancel() -> None

Cancel a running or queued execution.

Raises:

Type Description
ValueError

If the job has no execution ID.

ValueError

If the job is not in a cancellable state.

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 a Patent instance from an execution DTO.

Parameters:

Name Type Description Default
dto dict[str, Any]

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

required
client DeepOriginClient | None

Optional API client.

None

Returns:

Type Description
Self

A fully-hydrated Patent instance with status from the DTO.

Raises:

Type Description
ValueError

If input_file.key is missing from stored inputs.

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

Construct a Patent instance from an existing platform execution ID.

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) -> DataFrame | None

Retrieve extracted structures as a ligand-oriented DataFrame.

Returns:

Type Description
DataFrame | None

A DataFrame with smiles, name, page, and related columns,

DataFrame | None

or None if the job has not succeeded or no molecules were found.

Raises:

Type Description
ValueError

If no execution has been started.

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).

show
show() -> None

Display the current execution in Jupyter using the execution card HTML view.

If no platform execution ID exists yet, shows the same card with a short notice instead of raising (see :meth:~deeporigin.platform.execution_display.ExecutionDisplay.from_pending).

start
start(
    *,
    quote: bool = False,
    approve_amount: int | None = None,
    **kwargs
) -> None

Submit a persisted async execution to the platform.

Only valid when status is None (no execution exists yet). All other statuses raise immediately to prevent re-submission.

Pass quote=True or approve_amount=0 to request a cost estimate without running. If the platform returns a Quoted DTO the instance is left in that state — call :meth:~deeporigin.drug_discovery.execution.Execution.confirm explicitly to proceed.

Parameters:

Name Type Description Default
quote bool

Shorthand for approve_amount=0. Takes precedence when both quote and approve_amount are provided.

False
approve_amount int | None

Spend cap passed to the platform as approveAmount. 0 requests a quote only. None omits the field (platform runs immediately).

None
**kwargs

Forwarded verbatim to _start_impl.

{}

Raises:

Type Description
ValueError

If the current status is not None.

stop_watching
stop_watching() -> None

Cancel an in-flight watch loop if one is running.

Safe to call when no watch is active. Does not cancel the caller's current task when invoked from inside the watch loop.

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.

watch async
watch(
    *, interval: float = 5.0, blocking: bool = False
) -> Task | None

Start live notebook updates; optionally block until the job finishes.

By default, awaiting this coroutine finishes in one event-loop turn, so the cell returns while the display keeps updating in the background. Use this when you need to run other cells while the job runs::

task = await abfe.watch()

Set blocking=True or export JOB_WATCH_BLOCK=1 (truthy values: 1, true, yes, on) to run the poll loop inline so the cell does not return until a terminal state — useful for nbconvert --execute and doc CI (see :data:~deeporigin.utils.constants.JOB_WATCH_BLOCK_ENV)::

await abfe.watch(blocking=True)
# or: export JOB_WATCH_BLOCK=1

Parameters:

Name Type Description Default
interval float

Seconds between polls.

5.0
blocking bool

When True, await the watch loop instead of returning a background task. Also blocks when JOB_WATCH_BLOCK is truthy.

False

Returns:

Type Description
Task | None

The background task when not blocking; None when blocking.

Task | None

Cancel a background watch with :meth:stop_watching or task.cancel().

Functions: