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Post live metrics

post_live_metrics(event_type, baseline_sha, name, client, experiment_rev=None, machine=None, message=None, metrics=None, params=None, plots=None, step=None, dvc_studio_config=None, offline=False, studio_token=None, studio_repo_url=None, studio_url=None, subdir=None)

Post event_type to Studio's api/live.

Requires the environment variable DVC_STUDIO_TOKEN to be set. If the environment variable DVC_STUDIO_REPO_URL is not set, will attempt to infer it from git ls-remote --get-url.


event_type (Literal["start", "data", "done"]): Type of the event.
baseline_sha (str): SHA of the commit from which the experiment starts.
name (str): Name of the experiment.
    Automatically generated by DVC(Live) or manually passed by the user.
    (baseline_sha, name) is a unique identifier of the experiment.
client (Literal["dvc", "dvclive"]): Name of the client.
experiment_rev (Optional[str]): SHA of the revision created for
    the experiment.
    Only used when `event_type="done"`.
    Only used when
machine (Optional[Dict[str, Any]]): Information about the machine
    running the experiment.
    Defaults to `None`.
    ```
    machine={
        "cpu": 0.94
        "memory": 0.99
        "cloud": "aws"
        "instance": "t2.micro"
    }
    ```
message: (Optional[str]): Custom message to be displayed as the commit
    message in Studio UI.
metrics (Optional[Dict[str, Any]]): Updates to DVC metric files.
    Defaults to `None`.
    Only used when `event_type="data"`.
    ```
    metrics={
        "dvclive/metrics.json": {
            "data": {
                "foo": 1.0
            }
        }
    }
    ```
params (Optional[Dict[str, Any]]): Updates to DVC param files.
    Defaults to `None`.
    ```
    params={
        "dvclive/params.yaml": {
            "foo": "bar"
        }
    }
    ```
plots (Optional[Dict[str, Any]]): Updates to DVC plots files.
    Defaults to `None`.
    Only used when `event_type="data"`.
    ```
    plots={
        "dvclive/plots/metrics/foo.tsv": {
            "data": [{"step": 0, "foo": 1.0}]
        },
        "dvclive/plots/images/bar.png": {
            "image": "base64-string"
        }
    }
    ```
step (Optional[int]): Current step of the training loop.
    Usually comes from DVCLive `Live.step` property.
    Required in when `event_type="data"`.
    Defaults to `None`.
dvc_studio_config (Optional[Dict]): DVC config options for Studio.
offline (bool): Whether offline mode is enabled.
studio_token (Optional[str]): Studio access token obtained from the UI.
studio_repo_url (Optional[str]): URL of the Git repository that has been
    imported into Studio UI.
studio_url (Optional[str]): Base URL of Studio UI (if self-hosted).

Optional[bool]:
    `True` - if received status code 200 from Studio.
    `False` - if received other status code or RequestException raised.
    `None`- if prerequisites weren't met and the request was not sent.
Source code in dvc_studio_client/post_live_metrics.py
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def post_live_metrics(  # noqa: C901,PLR0912,PLR0913
    event_type: Literal["start", "data", "done"],
    baseline_sha: str,
    name: str,
    client: Literal["dvc", "dvclive"],
    experiment_rev: Optional[str] = None,
    machine: Optional[dict[str, Any]] = None,
    message: Optional[str] = None,
    metrics: Optional[dict[str, Any]] = None,
    params: Optional[dict[str, Any]] = None,
    plots: Optional[dict[str, Any]] = None,
    step: Optional[int] = None,
    dvc_studio_config: Optional[dict[str, Any]] = None,
    offline: bool = False,
    studio_token: Optional[str] = None,
    studio_repo_url: Optional[str] = None,
    studio_url: Optional[str] = None,
    subdir: Optional[str] = None,
) -> Optional[bool]:
    """Post `event_type` to Studio's `api/live`.

    Requires the environment variable `DVC_STUDIO_TOKEN` to be set.
    If the environment variable `DVC_STUDIO_REPO_URL` is not set, will attempt to
    infer it from `git ls-remote --get-url`.

    Args:
    ----
        event_type (Literal["start", "data", "done"]): Type of the event.
        baseline_sha (str): SHA of the commit from which the experiment starts.
        name (str): Name of the experiment.
            Automatically generated by DVC(Live) or manually passed by the user.
            (baseline_sha, name) is a unique identifier of the experiment.
        client (Literal["dvc", "dvclive"]): Name of the client.
        experiment_rev (Optional[str]): SHA of the revision created for
            the experiment.
            Only used when `event_type="done"`.
            Only used when
        machine (Optional[Dict[str, Any]]): Information about the machine
            running the experiment.
            Defaults to `None`.
            ```
            machine={
                "cpu": 0.94
                "memory": 0.99
                "cloud": "aws"
                "instance": "t2.micro"
            }
            ```
        message: (Optional[str]): Custom message to be displayed as the commit
            message in Studio UI.
        metrics (Optional[Dict[str, Any]]): Updates to DVC metric files.
            Defaults to `None`.
            Only used when `event_type="data"`.
            ```
            metrics={
                "dvclive/metrics.json": {
                    "data": {
                        "foo": 1.0
                    }
                }
            }
            ```
        params (Optional[Dict[str, Any]]): Updates to DVC param files.
            Defaults to `None`.
            ```
            params={
                "dvclive/params.yaml": {
                    "foo": "bar"
                }
            }
            ```
        plots (Optional[Dict[str, Any]]): Updates to DVC plots files.
            Defaults to `None`.
            Only used when `event_type="data"`.
            ```
            plots={
                "dvclive/plots/metrics/foo.tsv": {
                    "data": [{"step": 0, "foo": 1.0}]
                },
                "dvclive/plots/images/bar.png": {
                    "image": "base64-string"
                }
            }
            ```
        step (Optional[int]): Current step of the training loop.
            Usually comes from DVCLive `Live.step` property.
            Required in when `event_type="data"`.
            Defaults to `None`.
        dvc_studio_config (Optional[Dict]): DVC config options for Studio.
        offline (bool): Whether offline mode is enabled.
        studio_token (Optional[str]): Studio access token obtained from the UI.
        studio_repo_url (Optional[str]): URL of the Git repository that has been
            imported into Studio UI.
        studio_url (Optional[str]): Base URL of Studio UI (if self-hosted).

    Returns:
    -------
        Optional[bool]:
            `True` - if received status code 200 from Studio.
            `False` - if received other status code or RequestException raised.
            `None`- if prerequisites weren't met and the request was not sent.
    """
    config = get_studio_config(
        dvc_studio_config=dvc_studio_config,
        offline=offline,
        studio_token=studio_token,
        studio_repo_url=studio_repo_url,
        studio_url=studio_url,
    )

    if not config:
        return None

    body = {
        "type": event_type,
        "repo_url": config["repo_url"],
        "baseline_sha": baseline_sha,
        "name": name,
        "client": client,
    }

    if params:
        body["params"] = params

    if metrics:
        body["metrics"] = metrics

    if machine:
        body["machine"] = machine

    if event_type == "start":
        if message:
            # Cutting the message to match the commit title length limit.
            body["message"] = message[:72]
        if subdir:
            body["subdir"] = subdir
    elif event_type == "data":
        if step is None:
            logger.warning("Missing `step` in `data` event.")
            return None
        body["step"] = step
        if plots:
            body["plots"] = plots
    elif event_type == "done":
        if experiment_rev:
            body["experiment_rev"] = experiment_rev

    else:
        logger.warning(f"Invalid `event_type`: {event_type}")  # type: ignore[unreachable]
        return None

    try:
        SCHEMAS_BY_TYPE[event_type](body)
    except (Invalid, MultipleInvalid) as e:
        logger.warning(humanize_error(body, e))
        return None

    logger.debug(f"post_studio_live_metrics `{event_type=}`")

    path = getenv(STUDIO_ENDPOINT) or "api/live"
    url = urljoin(config["url"], path)
    token = config["token"]

    if body["type"] != "data" or "plots" not in body:
        return _single_post(url, body, token)

    return _post_in_chunks(url, body, token)