"""Input form components for the movie predictor."""

from __future__ import annotations

import gradio as gr


def create_input_form(feature_options: dict[str, list[str]]) -> tuple[dict[str, gr.components.Component], list[gr.components.Component]]:
    """Create the input form with all movie attributes."""
    
    inputs = {}
    
    with gr.Row():
        with gr.Column(scale=2):
            gr.Markdown("### 📊 Core Metrics")
            inputs["budget"] = gr.Number(
                label="Budget ($)",
                value=50_000_000,
                info="Production budget in USD"
            )
            inputs["popularity"] = gr.Number(
                label="Popularity Score",
                value=10.0,
                info="Trending score (0-100)"
            )
            inputs["runtime"] = gr.Number(
                label="Runtime (minutes)",
                value=105,
                info="Movie duration"
            )
        
        with gr.Column(scale=2):
            gr.Markdown("### 📅 Release Info")
            inputs["release_date"] = gr.Textbox(
                label="Release Date",
                value="2015-06-12",
                info="Format: YYYY-MM-DD"
            )
            inputs["original_language"] = gr.Dropdown(
                label="Original Language",
                choices=["en", "zh", "ja", "other"],
                value="en"
            )
            
        with gr.Column(scale=1):
            gr.Markdown("### ✓ Flags")
            inputs["belongs_to_collection"] = gr.Checkbox(
                label="Part of Collection",
                value=False
            )
            inputs["homepage"] = gr.Checkbox(
                label="Has Homepage",
                value=False
            )
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("### 🎬 Movie Details")
            inputs["title"] = gr.Textbox(
                label="Title",
                value="Sample Movie"
            )
            inputs["tagline"] = gr.Textbox(
                label="Tagline",
                value="A new story begins"
            )
            inputs["overview"] = gr.Textbox(
                label="Overview",
                value="A movie about discovery, conflict, and ambition.",
                lines=3
            )
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("### 👥 Cast & Crew Statistics")
            gr.Markdown("*These are typically derived from cast/crew data. Estimate if unknown.*")
            with gr.Row():
                inputs["num_of_cast"] = gr.Number(
                    label="Total Cast Members",
                    value=10,
                    info="Number of actors"
                )
                inputs["num_of_crew"] = gr.Number(
                    label="Total Crew Members",
                    value=10,
                    info="Number of crew"
                )
            
            with gr.Row():
                inputs["gender_cast_1"] = gr.Number(
                    label="Female Cast (Gender=1)",
                    value=4,
                    info="Number of female actors"
                )
                inputs["gender_cast_2"] = gr.Number(
                    label="Male Cast (Gender=2)",
                    value=5,
                    info="Number of male actors"
                )
                inputs["count_cast_other"] = gr.Number(
                    label="Other/Unknown Gender",
                    value=1,
                    info="Other gender identities"
                )
    
    with gr.Accordion("🎭 Optional: Genres, Companies & More", open=False):
        with gr.Row():
            inputs["genres"] = gr.Dropdown(
                label="Genres",
                choices=feature_options.get("genres", []),
                multiselect=True,
                info="Select one or more genres"
            )
            inputs["production_companies"] = gr.Dropdown(
                label="Production Companies",
                choices=feature_options.get("production_companies", []),
                multiselect=True,
                info="Select production companies"
            )
        
        with gr.Row():
            inputs["keywords"] = gr.Dropdown(
                label="Keywords",
                choices=feature_options.get("Keywords", []),
                multiselect=True,
                info="Content keywords"
            )
            inputs["cast"] = gr.Dropdown(
                label="Notable Cast",
                choices=feature_options.get("cast", []),
                multiselect=True,
                info="Famous actors"
            )
    
    # Return both dict and ordered list for compatibility
    ordered_list = [
        inputs["budget"],
        inputs["popularity"],
        inputs["runtime"],
        inputs["release_date"],
        inputs["original_language"],
        inputs["belongs_to_collection"],
        inputs["homepage"],
        inputs["title"],
        inputs["tagline"],
        inputs["overview"],
        inputs["num_of_cast"],
        inputs["num_of_crew"],
        inputs["gender_cast_1"],
        inputs["gender_cast_2"],
        inputs["count_cast_other"],
        inputs["genres"],
        inputs["production_companies"],
        inputs["keywords"],
        inputs["cast"],
    ]
    
    return inputs, ordered_list