arcade-mcp/libs/arcade-cli/arcade_cli/display.py
Sam Partee b6b4cd0a4c
🏗️ Restructure: Multi-Package Architecture + uv Migration (#412)
### Overview
Major restructuring from monolithic `arcade-ai` package to modular
library architecture with standardized uv-based dependency management.

![arcade-ai Monorepo
(2)](https://github.com/user-attachments/assets/25f102b0-bb87-4a04-9701-d227d05664b1)

### New Package Structure
- **`arcade-tdk`** - Lightweight toolkit development kit (core
decorators, auth)
- **`arcade-core`** - Core execution engine and catalog functionality  
- **`arcade-serve`** - FastAPI/MCP server components
- **`arcade-ai`** - Meta package that includes CLI functionality.
Optionally include evals via the `evals` extra. Optionally include all
packages via the `all` extra.

### Key Benefits
- **Lighter Dependencies**: Toolkits now depend only on `arcade-tdk` (~2
deps) vs full `arcade-ai` (~30+ deps)
- **Faster Builds**: uv provides 10-100x faster dependency resolution
and installation
- **Better Modularity**: Clear separation of concerns, consumers import
only what they need
- **Standard Tooling**: Eliminates custom poetry scripts, uses standard
Python packaging

### Migration Impact
- All 20 toolkits converted from poetry → uv with `arcade-tdk`
dependencies plus `arcade-ai[evals]` and `arcade-serve` dev
dependencies. When developing locally, devs should install toolkits via
`make install-local`.
- Modern Python 3.10+ type hints throughout
- Standardized build system with hatchling backend
- Enhanced Makefile with robust toolkit management commands
- Removed `arcade dev` CLI command
- Reduce the number of files created by `arcade new` and add an option
to not generate a tests and evals folder.

This foundation enables faster development cycles and cleaner dependency
chains for the growing toolkit ecosystem.

### Todo After this PR is merged
- [ ] Post-merge workflow(s) (release & publish containers, etc)
- [ ] Release order plan. @EricGustin suggests releasing in the
following order:
    1. `arcade-core` version 0.1.0
    2. `arcade-serve` version 0.1.0 and `arcade-tdk` version 0.1.0
    3. `arcade-ai` version 2.0.0
4. Patch release for all toolkits (all changes in toolkits are internal
refactors)
- [ ] [Update docs](https://github.com/ArcadeAI/docs/pull/318)

---------

Co-authored-by: Eric Gustin <eric@arcade.dev>
Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
2025-06-11 16:48:17 -07:00

253 lines
8.6 KiB
Python

from typing import TYPE_CHECKING, Any
from arcade_core.schema import ToolDefinition
from rich.console import Console
from rich.panel import Panel
from rich.table import Table
from rich.text import Text
if TYPE_CHECKING:
from arcade_evals.eval import EvaluationResult
console = Console()
def display_tools_table(tools: list[ToolDefinition]) -> None:
"""
Display a table of tools with their name, description, package, and version.
"""
if not tools:
console.print("No tools found.", style="bold")
return
table = Table(show_header=True, header_style="bold magenta")
table.add_column("Name")
table.add_column("Description")
table.add_column("Package")
table.add_column("Version")
for tool in sorted(tools, key=lambda x: x.toolkit.name):
table.add_row(
str(tool.get_fully_qualified_name()),
tool.description.split("\n")[0] if tool.description else "",
tool.toolkit.name,
tool.toolkit.version,
)
console.print(f"Found {len(tools)} tools.")
console.print(table)
def display_tool_details(tool: ToolDefinition) -> None:
"""
Display detailed information about a specific tool using multiple panels.
"""
# Description Panel
description_panel = Panel(
tool.description or "No description available.",
title=f"Tool: {tool.name}",
border_style="cyan",
)
# Inputs Panel
inputs = tool.input.parameters
if inputs:
inputs_table = Table(show_header=True, header_style="bold green")
inputs_table.add_column("Name", style="cyan")
inputs_table.add_column("Type", style="magenta")
inputs_table.add_column("Required", style="yellow")
inputs_table.add_column("Description", style="white")
inputs_table.add_column("Default", style="blue")
for param in inputs:
# Since InputParameter does not have a default field, we use "N/A"
default_value = "N/A"
if param.value_schema.enum:
default_value = f"One of {param.value_schema.enum}"
inputs_table.add_row(
param.name,
param.value_schema.val_type,
str(param.required),
param.description or "",
default_value,
)
inputs_panel = Panel(
inputs_table,
title="Input Parameters",
border_style="green",
)
else:
inputs_panel = Panel(
"No input parameters.",
title="Input Parameters",
border_style="green",
)
# Output Panel
output = tool.output
if output:
output_description = output.description or "No description available."
output_types = ", ".join(output.available_modes)
output_val_type = output.value_schema.val_type if output.value_schema else "N/A"
output_details = Text.assemble(
("Description: ", "bold"),
(output_description, ""),
"\n",
("Available Modes: ", "bold"),
(output_types, ""),
"\n",
("Value Type: ", "bold"),
(output_val_type, ""),
)
output_panel = Panel(
output_details,
title="Expected Output",
border_style="blue",
)
else:
output_panel = Panel(
"No output information available.",
title="Expected Output",
border_style="blue",
)
# Combine all panels vertically
console.print(description_panel)
console.print(inputs_panel)
console.print(output_panel)
def display_tool_messages(tool_messages: list[dict]) -> None:
for message in tool_messages:
if message["role"] == "assistant":
for tool_call in message.get("tool_calls", []):
console.print(
f"[bold]Called tool '{tool_call['function']['name']}' with parameters:[/bold] {tool_call['function']['arguments']}",
style="dim",
)
elif message["role"] == "tool":
console.print(
f"[bold]'{message['name']}' tool returned:[/bold] {message['content']}", style="dim"
)
def display_eval_results(results: list[list[dict[str, Any]]], show_details: bool = False) -> None:
"""
Display evaluation results in a format inspired by pytest's output.
Args:
results: List of dictionaries containing evaluation results for each model.
show_details: Whether to show detailed results for each case.
"""
total_passed = 0
total_failed = 0
total_warned = 0
total_cases = 0
for eval_suite in results:
for model_results in eval_suite:
model = model_results.get("model", "Unknown Model")
rubric = model_results.get("rubric", "Unknown Rubric")
cases = model_results.get("cases", [])
total_cases += len(cases)
console.print(f"[bold]Model:[/bold] [bold magenta]{model}[/bold magenta]")
if show_details:
console.print(f"[bold magenta]{rubric}[/bold magenta]")
for case in cases:
evaluation = case["evaluation"]
status = (
"[green]PASSED[/green]"
if evaluation.passed
else "[yellow]WARNED[/yellow]"
if evaluation.warning
else "[red]FAILED[/red]"
)
if evaluation.passed:
total_passed += 1
elif evaluation.warning:
total_warned += 1
else:
total_failed += 1
# Display one-line summary for each case with score as a percentage
score_percentage = evaluation.score * 100
console.print(f"{status} {case['name']} -- Score: {score_percentage:.2f}%")
if show_details:
# Show detailed information for each case
console.print(f"[bold]User Input:[/bold] {case['input']}\n")
console.print("[bold]Details:[/bold]")
console.print(_format_evaluation(evaluation))
console.print("-" * 80)
# Summary
summary = (
f"[bold]Summary -- [/bold]Total: {total_cases} -- [green]Passed: {total_passed}[/green]"
)
if total_warned > 0:
summary += f" -- [yellow]Warnings: {total_warned}[/yellow]"
if total_failed > 0:
summary += f" -- [red]Failed: {total_failed}[/red]"
console.print(summary + "\n")
def _format_evaluation(evaluation: "EvaluationResult") -> str:
"""
Format evaluation results with color-coded matches and scores.
Args:
evaluation: An EvaluationResult object containing the evaluation results.
Returns:
A formatted string representation of the evaluation details.
"""
result_lines = []
if evaluation.failure_reason:
result_lines.append(f"[bold red]Failure Reason:[/bold red] {evaluation.failure_reason}")
else:
for critic_result in evaluation.results:
is_criticized = critic_result.get("is_criticized", True)
match_color = (
"yellow" if not is_criticized else "green" if critic_result["match"] else "red"
)
field = critic_result["field"]
score = critic_result["score"]
weight = critic_result["weight"]
expected = critic_result["expected"]
actual = critic_result["actual"]
if is_criticized:
result_lines.append(
f"[bold]{field}:[/bold] "
f"[{match_color}]Match: {critic_result['match']}"
f"\n Score: {score:.2f}/{weight:.2f}[/{match_color}]"
f"\n Expected: {expected}"
f"\n Actual: {actual}"
)
else:
result_lines.append(
f"[bold]{field}:[/bold] "
f"[{match_color}]Un-criticized[/{match_color}]"
f"\n Expected: {expected}"
f"\n Actual: {actual}"
)
return "\n".join(result_lines)
def display_arcade_chat_header(base_url: str, stream: bool) -> None:
chat_header = Text.assemble(
"\n",
(
"=== Arcade Chat ===",
"bold magenta underline",
),
"\n",
"\n",
"Chatting with Arcade Engine at ",
(
base_url,
"bold blue",
),
)
if stream:
chat_header.append(" (streaming)")
console.print(chat_header)