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field_seeding_bot

django_spire.contrib.seeding.intelligence.bots.field_seeding_bot

FieldSeedingBot

Bases: Bot

role = 'Data Generation Expert' class-attribute instance-attribute

task = 'Create field seed data for a software application based on request.' class-attribute instance-attribute

guidelines = Prompt().unordered_random_list(['Field names have context behind the meaning of the data and how it should be created.', f"The date for today is {localdate().strftime('%Y-%m-%d')} use this for context.", 'The user will provide you with seeder name, filled fields and missing fields.', 'Use the already filled fields as context on how to fill the empty ones.']) class-attribute instance-attribute

process

Source code in django_spire/contrib/seeding/intelligence/bots/field_seeding_bot.py 
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def process(self, seeder_name: str, fields_seeds: dict[str, Any], seed_index: int) -> Seed:
    fields_dict = {}

    prompt = Prompt()

    prompt.heading(seeder_name)

    prompt.sub_heading('Already Filled Fields for Context')

    non_llm_fields_values = self._process_non_llm_fields(
        fields_seeds=fields_seeds, seed_index=seed_index
    )

    for field, value in non_llm_fields_values.items():
        prompt.text(f'{field}: {value}')

    prompt.line_break()

    prompt.sub_heading('Empty Fields Required to have Data')

    fields_llm_seeds = {
        field: seed for field, seed in fields_seeds.items() if isinstance(seed, LlmFieldSeed)
    }

    for field, llm_seed in fields_llm_seeds.items():
        fields_dict[field] = (llm_seed.field_type, ...)
        if llm_seed.prompt:
            prompt.text(f'{field}: "{llm_seed.prompt}"')
        else:
            prompt.text(f'{field}: "No description provided, use context"')

    if fields_dict:
        FieldIntel = create_model('FieldIntel', __base__=BaseIntel, **fields_dict)

        field_intel = self.llm.prompt_to_intel(prompt=prompt, intel_class=FieldIntel)

        return Seed({**field_intel.model_dump(), **non_llm_fields_values})

    return Seed(non_llm_fields_values)