slahiriandClaude Opus 4.5
fb05f55c9e
Adds the assembler module that converts classified tokens into natural language prompts: - base.py: AssemblerConfig, AssembledPrompt, CategorySection classes - rules.py: Phrase templates, gender detection, grammar helpers - standard.py: StandardAssembler with NATURAL/TAGS/HYBRID styles The assembler takes ClassifiedImage from Phase 3 and produces prompts following the canonical category order. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
53 lines
1.0 KiB
Python
53 lines
1.0 KiB
Python
"""Assembler module for generating natural language prompts.
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This module handles Phase 4 of the pipeline:
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- Rule-based assembly (templates, phrase mappings, grammar rules)
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- Converts classified tokens into coherent prompts
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"""
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from .base import (
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BaseAssembler,
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AssemblerConfig,
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AssembledPrompt,
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CategorySection,
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PromptStyle,
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)
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from .rules import (
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Gender,
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detect_gender,
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get_pronouns,
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clean_token_for_output,
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join_tokens_natural,
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build_subject_phrase,
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CATEGORY_TEMPLATES,
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SUBJECT_DETAIL_TEMPLATES,
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)
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from .standard import (
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StandardAssembler,
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assemble_prompt,
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)
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__all__ = [
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# Base classes
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"BaseAssembler",
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"AssemblerConfig",
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"AssembledPrompt",
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"CategorySection",
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"PromptStyle",
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# Rules
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"Gender",
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"detect_gender",
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"get_pronouns",
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"clean_token_for_output",
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"join_tokens_natural",
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"build_subject_phrase",
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"CATEGORY_TEMPLATES",
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"SUBJECT_DETAIL_TEMPLATES",
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# Standard assembler
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"StandardAssembler",
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"assemble_prompt",
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]
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