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https://github.com/langbot-app/LangBot.git
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shit
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@@ -0,0 +1,105 @@
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from __future__ import annotations
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import logging
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logger = logging.getLogger(__name__)
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# metadata type -> coercion function
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_COERCE_MAP = {
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'integer': lambda v: int(v),
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'number': lambda v: float(v),
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'float': lambda v: float(v),
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}
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def _coerce_bool(v):
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if isinstance(v, bool):
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return v
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if isinstance(v, str):
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if v.lower() == 'true':
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return True
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if v.lower() == 'false':
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return False
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raise ValueError(f'Cannot convert string {v!r} to bool')
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return bool(v)
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def _coerce_value(value, expected_type: str):
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"""Convert a single value to the expected type.
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Returns the converted value, or the original value if no conversion needed.
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"""
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if value is None:
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return value
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if expected_type == 'boolean':
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if isinstance(value, bool):
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return value
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return _coerce_bool(value)
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coerce_fn = _COERCE_MAP.get(expected_type)
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if coerce_fn is None:
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return value
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# Already the correct type
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if expected_type == 'integer' and isinstance(value, int) and not isinstance(value, bool):
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return value
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if expected_type in ('number', 'float') and isinstance(value, (int, float)) and not isinstance(value, bool):
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return float(value)
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return coerce_fn(value)
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def coerce_pipeline_config(
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config: dict,
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*metadata_list: dict,
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) -> None:
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"""Coerce pipeline config values according to metadata type definitions.
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Walks each metadata dict (trigger, safety, ai, output) and converts
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config values in-place so that strings coming from the JSON column are
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cast to their declared types (integer, number/float, boolean).
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Args:
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config: The pipeline config dict to modify in-place.
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*metadata_list: Metadata dicts loaded from the YAML templates.
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"""
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for meta in metadata_list:
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section_name = meta.get('name')
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if not section_name or section_name not in config:
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continue
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section = config[section_name]
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if not isinstance(section, dict):
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continue
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for stage_def in meta.get('stages', []):
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stage_name = stage_def.get('name')
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if not stage_name or stage_name not in section:
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continue
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stage_config = section[stage_name]
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if not isinstance(stage_config, dict):
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continue
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for field_def in stage_def.get('config', []):
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field_name = field_def.get('name')
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field_type = field_def.get('type')
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if not field_name or not field_type or field_name not in stage_config:
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continue
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old_value = stage_config[field_name]
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try:
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new_value = _coerce_value(old_value, field_type)
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if new_value is not old_value:
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stage_config[field_name] = new_value
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except (ValueError, TypeError) as e:
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logger.warning(
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'Failed to coerce config %s.%s.%s (%r) to %s: %s',
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section_name,
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stage_name,
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field_name,
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old_value,
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field_type,
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e,
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)
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