"""Pydantic schemas for pipeline stage inputs and outputs.

Stage 2 — Segmentation: groups transcript segments by topic.
Stage 3 — Extraction: extracts key moments from segments.
Stage 4 — Classification: classifies moments by category/tags.
Stage 5 — Synthesis: generates technique pages from classified moments.
"""

from __future__ import annotations

from pydantic import BaseModel, Field


# ── Stage 2: Segmentation ───────────────────────────────────────────────────

class TopicSegment(BaseModel):
    """A contiguous group of transcript segments sharing a topic."""

    start_index: int = Field(description="First transcript segment index in this group")
    end_index: int = Field(description="Last transcript segment index in this group (inclusive)")
    topic_label: str = Field(description="Short label describing the topic")
    summary: str = Field(description="Brief summary of what is discussed")


class SegmentationResult(BaseModel):
    """Full output of stage 2 (segmentation)."""

    segments: list[TopicSegment]


# ── Stage 3: Extraction ─────────────────────────────────────────────────────

class ExtractedMoment(BaseModel):
    """A single key moment extracted from a topic segment group."""

    title: str = Field(description="Concise title for the moment")
    summary: str = Field(description="Detailed summary of the technique/concept")
    start_time: float = Field(description="Start time in seconds")
    end_time: float = Field(description="End time in seconds")
    content_type: str = Field(description="One of: technique, settings, reasoning, workflow")
    plugins: list[str] = Field(default_factory=list, description="Plugins/tools mentioned")
    raw_transcript: str = Field(default="", description="Raw transcript text for this moment")


class ExtractionResult(BaseModel):
    """Full output of stage 3 (extraction)."""

    moments: list[ExtractedMoment]


# ── Stage 4: Classification ─────────────────────────────────────────────────

class ClassifiedMoment(BaseModel):
    """Classification metadata for a single extracted moment."""

    moment_index: int = Field(description="Index into ExtractionResult.moments")
    topic_category: str = Field(description="High-level topic category")
    topic_tags: list[str] = Field(default_factory=list, description="Specific topic tags")
    content_type_override: str | None = Field(
        default=None,
        description="Override for content_type if classification disagrees with extraction",
    )


class ClassificationResult(BaseModel):
    """Full output of stage 4 (classification)."""

    classifications: list[ClassifiedMoment]


# ── Stage 5: Synthesis ───────────────────────────────────────────────────────

class SynthesizedPage(BaseModel):
    """A technique page synthesized from classified moments."""

    title: str = Field(description="Page title")
    slug: str = Field(description="URL-safe slug")
    topic_category: str = Field(description="Primary topic category")
    topic_tags: list[str] = Field(default_factory=list, description="Associated tags")
    summary: str = Field(description="Page summary / overview paragraph")
    body_sections: dict = Field(
        default_factory=dict,
        description="Structured body content as section_name -> content mapping",
    )
    signal_chains: list[dict] = Field(
        default_factory=list,
        description="Signal chain descriptions (for audio/music production contexts)",
    )
    plugins: list[str] = Field(default_factory=list, description="Plugins/tools referenced")
    source_quality: str = Field(
        default="mixed",
        description="One of: structured, mixed, unstructured",
    )


class SynthesisResult(BaseModel):
    """Full output of stage 5 (synthesis)."""

    pages: list[SynthesizedPage]