Lars
6756dc60f3
- Integrated compact JSON payload generation for session metrics in `get_training_sessions_recent_weeks_data`. - Updated the registration of activity session insights to reflect the new compact format for session metrics. - Improved documentation to clarify the structure and semantics of the session metrics in the JSON output. - Added normalization for prompt numbers to ensure consistent formatting in the metrics.
103 lines
3.0 KiB
Python
103 lines
3.0 KiB
Python
"""
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Kompakte Zahlen- und JSON-Aufbereitung für KI-Platzhalter (Token sparen).
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- Floats: sinnvolle Nachkommastellen je nach Größenordnung (kleine Werte <0,1 mehr Präzision).
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- ≥10 meist ganzzahlig; Prozent/Verhältnisse über denselben Mechanismus lesbar.
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- Rekursiv auf dict/list-Strukturen vor json.dumps in _safe_json anwendbar.
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"""
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from __future__ import annotations
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import math
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from decimal import Decimal
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from typing import Any
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def compact_float_for_prompt(x: float) -> float | int:
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"""
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Reduziert unnötige Nachkommastellen; erhält kleine Beträge (<0,1) mit mehr Stellen.
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"""
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if not math.isfinite(x):
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return x
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ax = abs(x)
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if ax == 0.0:
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return 0
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if ax >= 100.0:
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return int(round(x))
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if ax >= 10.0:
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return int(round(x))
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if ax >= 1.0:
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r = round(x, 2)
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return int(r) if abs(r - int(round(r))) < 1e-6 else r
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if ax >= 0.1:
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r = round(x, 2)
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return int(r) if abs(r - int(round(r))) < 1e-6 else r
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if ax >= 0.01:
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return round(x, 3)
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return round(x, 4)
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def normalize_prompt_number(x: Any) -> Any:
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"""int/Decimal/float kompakt; Rest unverändert."""
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if x is None:
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return None
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if isinstance(x, bool):
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return x
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if isinstance(x, int) and not isinstance(x, bool):
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return x
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if isinstance(x, Decimal):
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try:
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xf = float(x)
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except Exception:
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return x
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return compact_float_for_prompt(xf)
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if isinstance(x, float):
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return compact_float_for_prompt(x)
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return x
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def compact_json_payload_for_prompts(obj: Any) -> Any:
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"""
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Tiefe Kopie mit kompakten Zahlen (dicts/list/tuples rekursiv).
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Strings und dict-Keys werden nicht verändert.
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"""
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if obj is None:
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return None
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if isinstance(obj, dict):
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return {k: compact_json_payload_for_prompts(v) for k, v in obj.items()}
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if isinstance(obj, (list, tuple)):
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t = [compact_json_payload_for_prompts(v) for v in obj]
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return tuple(t) if isinstance(obj, tuple) else t
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return normalize_prompt_number(obj)
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def session_metrics_list_to_key_value_compact(metrics: list[Any] | None) -> dict[str, Any]:
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"""
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Session-Metriken für KI-JSON: nur key → Wert (keine wiederholten Namen/Beschreibungen).
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Semantik: {{training_parameters_glossary_md}} im Prompt ergänzen.
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"""
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out: dict[str, Any] = {}
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for m in metrics or []:
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if not isinstance(m, dict):
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continue
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k = m.get("key")
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if not k:
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continue
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v = m.get("value")
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dt = (m.get("data_type") or "").lower()
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if v is None:
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out[str(k)] = None
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continue
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if dt == "integer":
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try:
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out[str(k)] = int(v)
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except (TypeError, ValueError):
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out[str(k)] = normalize_prompt_number(v)
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elif dt == "boolean":
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out[str(k)] = bool(v)
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elif dt == "string":
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out[str(k)] = str(v)
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else:
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out[str(k)] = normalize_prompt_number(v)
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return out
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