Add progress bar for Fine-tuning jobs

src/together/cli/api/finetune.py

@@ -9,10 +9,11 @@
 import click
 from click.core import ParameterSource  # type: ignore[attr-defined]
 from rich import print as rprint
+from rich.json import JSON
 from tabulate import tabulate
 
 from together import Together
-from together.cli.api.utils import BOOL_WITH_AUTO, INT_WITH_MAX
+from together.cli.api.utils import BOOL_WITH_AUTO, INT_WITH_MAX, generate_progress_bar
 from together.types.finetune import (
     DownloadCheckpointType,
     FinetuneEventType,
@@ -435,6 +436,9 @@ def list(ctx: click.Context) -> None:
                 "Price": f"""${
                     finetune_price_to_dollars(float(str(i.total_price)))
                 }""",  # convert to string for mypy typing
+                "Progress": generate_progress_bar(
+                    i, datetime.now().astimezone(), use_rich=False
+                ),
             }
         )
     table = tabulate(display_list, headers="keys", tablefmt="grid", showindex=True)
@@ -454,7 +458,15 @@ def retrieve(ctx: click.Context, fine_tune_id: str) -> None:
     # remove events from response for cleaner output
     response.events = None
 
-    click.echo(json.dumps(response.model_dump(exclude_none=True), indent=4))
+    rprint(JSON.from_data(response.model_dump(exclude_none=True)))
+    progress_text = generate_progress_bar(
+        response, datetime.now().astimezone(), use_rich=True
+    )
+    status = "Unknown"
+    if response.status is not None:
+        status = response.status.value
+    prefix = f"Status: [bold]{status}[/bold],"
+    rprint(f"{prefix} {progress_text}")
 
 
 @fine_tuning.command()

src/together/cli/api/utils.py

@@ -1,10 +1,17 @@
 from __future__ import annotations
 
+import math
+import re
 from gettext import gettext as _
 from typing import Literal
+from datetime import datetime
 
 import click
 
+from together.types.finetune import FinetuneResponse, COMPLETED_STATUSES
+
+_PROGRESS_BAR_WIDTH = 40
+
 
 class AutoIntParamType(click.ParamType):
     name = "integer_or_max"
@@ -49,3 +56,84 @@ def convert(
 
 INT_WITH_MAX = AutoIntParamType()
 BOOL_WITH_AUTO = BooleanWithAutoParamType()
+
+
+def _human_readable_time(timedelta: float) -> str:
+    """Convert a timedelta to a compact human-readble string
+    Examples:
+        00:00:10 -> 10s
+        01:23:45 -> 1h 23min 45s
+        1 Month 23 days 04:56:07 -> 1month 23d 4h 56min 7s
+    Args:
+        timedelta (float): The timedelta in seconds to convert.
+    Returns:
+        A string representing the timedelta in a human-readable format.
+    """
+    units = [
+        (30 * 24 * 60 * 60, "month"),  # 30 days
+        (24 * 60 * 60, "d"),
+        (60 * 60, "h"),
+        (60, "min"),
+        (1, "s"),
+    ]
+
+    total_seconds = int(timedelta)
+    parts = []
+
+    for unit_seconds, unit_name in units:
+        if total_seconds >= unit_seconds:
+            value = total_seconds // unit_seconds
+            total_seconds %= unit_seconds
+            parts.append(f"{value}{unit_name}")
+
+    return " ".join(parts) if parts else "0s"
+
+
+def generate_progress_bar(
+    finetune_job: FinetuneResponse, current_time: datetime, use_rich: bool = False
+) -> str:
+    """Generate a progress bar for a finetune job.
+    Args:
+        finetune_job: The finetune job to generate a progress bar for.
+        current_time: The current time.
+        use_rich: Whether to use rich formatting.
+    Returns:
+        A string representing the progress bar.
+    """
+    progress = "Progress: [bold red]unavailable[/bold red]"
+    if finetune_job.status in COMPLETED_STATUSES:
+        progress = "Progress: [bold green]completed[/bold green]"
+    elif finetune_job.updated_at is not None:
+        # Replace 'Z' with '+00:00' for Python 3.10 compatibility
+        updated_at_str = finetune_job.updated_at.replace("Z", "+00:00")
+        update_at = datetime.fromisoformat(updated_at_str).astimezone()
+
+        if finetune_job.progress is not None:
+            if current_time < update_at:
+                return progress
+
+            if not finetune_job.progress.estimate_available:
+                return progress
+
+            if finetune_job.progress.seconds_remaining <= 0:
+                return progress
+
+            elapsed_time = (current_time - update_at).total_seconds()
+            ratio_filled = min(
+                elapsed_time / finetune_job.progress.seconds_remaining, 1.0
+            )
+            percentage = ratio_filled * 100
+            filled = math.ceil(ratio_filled * _PROGRESS_BAR_WIDTH)
+            bar = "█" * filled + "░" * (_PROGRESS_BAR_WIDTH - filled)
+            time_left = "N/A"
+            if finetune_job.progress.seconds_remaining > elapsed_time:
+                time_left = _human_readable_time(
+                    finetune_job.progress.seconds_remaining - elapsed_time
+                )
+            time_text = f"{time_left} left"
+            progress = f"Progress: {bar} [bold]{percentage:>3.0f}%[/bold] [yellow]{time_text}[/yellow]"
+
+    if use_rich:
+        return progress
+
+    return re.sub(r"\[/?[^\]]+\]", "", progress)

src/together/types/finetune.py

@@ -28,6 +28,14 @@ class FinetuneJobStatus(str, Enum):
     STATUS_COMPLETED = "completed"
 
 
+COMPLETED_STATUSES = [
+    FinetuneJobStatus.STATUS_ERROR,
+    FinetuneJobStatus.STATUS_USER_ERROR,
+    FinetuneJobStatus.STATUS_COMPLETED,
+    FinetuneJobStatus.STATUS_CANCELLED,
+]
+
+
 class FinetuneEventLevels(str, Enum):
     """
     Fine-tune job event status levels
@@ -167,6 +175,15 @@ class TrainingMethodDPO(TrainingMethod):
     simpo_gamma: float | None = None
 
 
+class FinetuneProgress(BaseModel):
+    """
+    Fine-tune job progress
+    """
+
+    estimate_available: bool = False
+    seconds_remaining: float = 0
+
+
 class FinetuneRequest(BaseModel):
     """
     Fine-tune request type
@@ -297,6 +314,8 @@ class FinetuneResponse(BaseModel):
     train_on_inputs: StrictBool | Literal["auto"] | None = "auto"
     from_checkpoint: str | None = None
 
+    progress: FinetuneProgress | None = None
+
     @field_validator("training_type")
     @classmethod
     def validate_training_type(cls, v: TrainingType) -> TrainingType: