387 lines
18 KiB
Python
387 lines
18 KiB
Python
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"""
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Layer-2b Verlauf-Bundles → PDF-Abschnitte (KPIs + eingebettete Chart-Payloads).
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Gleiche Datenquellen und Config-Validierung wie Dashboard-Widgets (dashboard_widget_config).
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"""
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from __future__ import annotations
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import io
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import logging
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from typing import Any
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from reportlab.lib.units import mm
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from reportlab.platypus import Image as RLImage
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from reportlab.platypus import Paragraph, Spacer
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from xml.sax.saxutils import escape
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from dashboard_widget_config import validate_widget_entry_config
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from data_layer.body_viz import get_body_history_viz_bundle
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from data_layer.fitness_viz import get_fitness_dashboard_viz_bundle
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from data_layer.history_overview_viz import get_history_overview_viz_bundle
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from data_layer.nutrition_viz import get_nutrition_history_viz_bundle
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from data_layer.recovery_viz import get_recovery_dashboard_viz_bundle
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from data_layer.utils import safe_float
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from report_chart_plotting import chart_payload_to_png
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logger = logging.getLogger(__name__)
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BUNDLE_HEADINGS: dict[str, str] = {
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"body_history_viz": "Körper — Kennwerte & Verlauf",
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"nutrition_history_viz": "Ernährung — Kennwerte & Charts",
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"fitness_history_viz": "Fitness / Training",
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"recovery_history_viz": "Erholung & Vitalwerte",
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"history_overview_viz": "Gesamtübersicht & Korrelationen",
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}
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def _add_chart_to_story(story: list, styles: dict, payload: dict[str, Any], caption: str | None = None) -> None:
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meta = payload.get("metadata") or {}
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if meta.get("confidence") == "insufficient":
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msg = escape(meta.get("message") or "Keine Daten")
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story.append(Paragraph(f"<i>{msg}</i>", styles["Normal"]))
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story.append(Spacer(1, 2 * mm))
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return
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if caption:
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story.append(Paragraph(f"<b>{escape(caption)}</b>", styles["Normal"]))
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try:
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png = chart_payload_to_png(payload)
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story.append(RLImage(io.BytesIO(png), width=170 * mm, height=85 * mm))
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except Exception as e:
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logger.warning("bundle chart png: %s", e)
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story.append(Paragraph("Diagramm konnte nicht gerendert werden.", styles["Normal"]))
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story.append(Spacer(1, 4 * mm))
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def _append_interpretation_tiles(story: list, styles: dict, tiles: list[dict[str, Any]]) -> None:
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if not tiles:
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return
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story.append(Paragraph("<b>Einschätzungen</b>", styles["Heading4"]))
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for t in tiles:
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cat = escape(str(t.get("category") or t.get("title") or "—"))
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title = t.get("title")
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detail = t.get("detail")
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val = t.get("value")
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parts = [f"<b>{cat}</b>"]
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if title and str(title) != str(cat):
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parts.append(escape(str(title)))
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if val is not None and val != "":
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parts.append(f"({escape(str(val))})")
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story.append(Paragraph(" — ".join(parts), styles["Normal"]))
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if detail:
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story.append(Paragraph(escape(str(detail)[:500]), styles["BodyText"]))
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story.append(Spacer(1, 3 * mm))
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def _append_kpi_tiles_fitness_nutreco(story: list, styles: dict, tiles: list[dict[str, Any]], compact: bool) -> None:
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if not tiles:
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return
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use = tiles[:4] if compact else tiles
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story.append(Paragraph("<b>KPI-Kacheln</b>", styles["Heading4"]))
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for t in use:
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cat = escape(str(t.get("category") or t.get("title") or "—"))
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val = escape(str(t.get("value") or "—"))
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sub = t.get("sublabel") or t.get("body")
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line = f"• <b>{cat}</b>: {val}"
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if sub:
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line += f" — {escape(str(sub)[:180])}"
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story.append(Paragraph(line, styles["Normal"]))
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story.append(Spacer(1, 3 * mm))
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def _append_insights_lines(story: list, styles: dict, insights: list[dict[str, Any]], label: str) -> None:
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if not insights:
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return
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story.append(Paragraph(f"<b>{escape(label)}</b>", styles["Heading4"]))
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for item in insights:
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title = item.get("title") or item.get("heading")
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body = item.get("body") or item.get("text")
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if title:
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story.append(Paragraph(escape(str(title)), styles["Normal"]))
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if body:
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story.append(Paragraph(escape(str(body)[:600]), styles["BodyText"]))
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story.append(Spacer(1, 2 * mm))
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def _weight_series_payload(bundle_weight: dict[str, Any]) -> dict[str, Any] | None:
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series = bundle_weight.get("series") or []
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if len(series) < 2:
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return None
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labels = [str(p.get("date") or "") for p in series]
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datasets: list[dict[str, Any]] = [
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{
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"label": "Gewicht (kg)",
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"data": [safe_float(p.get("weight")) for p in series],
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"borderColor": "#1D9E75",
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}
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]
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if any(p.get("avg7") is not None for p in series):
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datasets.append(
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{
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"label": "Ø 7T",
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"data": [safe_float(p.get("avg7")) for p in series],
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"borderColor": "#378ADD",
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}
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)
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return {"chart_type": "line", "data": {"labels": labels, "datasets": datasets}, "metadata": {"confidence": "high"}}
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def _line_payload_from_points(
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points: list[dict[str, Any]],
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x_key: str,
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y_key: str,
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label: str,
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) -> dict[str, Any] | None:
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if len(points) < 2:
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return None
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labels = [str(p.get(x_key) or "") for p in points]
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ys = [safe_float(p.get(y_key)) for p in points]
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return {
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"chart_type": "line",
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"data": {
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"labels": labels,
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"datasets": [{"label": label, "data": ys, "borderColor": "#1D9E75"}],
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},
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"metadata": {"confidence": "high"},
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}
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def _append_body_bundle(story: list, styles: dict, profile_id: str, cfg: dict[str, Any]) -> None:
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days = int(cfg.get("chart_days") or 30)
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bundle = get_body_history_viz_bundle(profile_id, days)
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story.append(Paragraph(escape(BUNDLE_HEADINGS["body_history_viz"]), styles["Heading2"]))
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if bundle.get("confidence") == "insufficient":
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story.append(Paragraph(escape(bundle.get("message") or "Keine Körperdaten"), styles["Normal"]))
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story.append(Spacer(1, 4 * mm))
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return
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summ = bundle.get("summary") or {}
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if summ:
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w = summ.get("weight_kg")
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bf = summ.get("body_fat_pct")
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parts = []
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if w is not None:
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parts.append(f"Gewicht: {w} kg")
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if bf is not None:
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parts.append(f"KF%: {bf}")
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if parts:
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story.append(Paragraph(escape(" · ".join(parts)), styles["Normal"]))
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story.append(Spacer(1, 2 * mm))
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if cfg.get("show_kpis", True):
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_append_interpretation_tiles(story, styles, bundle.get("interpretation_tiles") or [])
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w = bundle.get("weight") or {}
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if cfg.get("show_weight_chart", True):
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pl = _weight_series_payload(w)
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if pl:
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_add_chart_to_story(story, styles, pl, "Gewicht")
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cal = bundle.get("caliper") or {}
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if cfg.get("show_body_fat_chart", False):
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ser = cal.get("series") or []
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pts = [{"date": p.get("date"), "y": p.get("body_fat_pct")} for p in ser if p.get("body_fat_pct") is not None]
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pl = _line_payload_from_points(pts, "date", "y", "KF %")
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if pl:
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_add_chart_to_story(story, styles, pl, "Körperfett (Caliper)")
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circ = bundle.get("circumference") or {}
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if cfg.get("show_proportion_chart", False):
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prop = circ.get("proportion_series") or []
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pts = [{"date": p.get("date"), "y": p.get("v_taper_cm")} for p in prop if p.get("v_taper_cm") is not None]
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pl = _line_payload_from_points(pts, "date", "y", "V-Taper (cm)")
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if pl:
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_add_chart_to_story(story, styles, pl, "Proportion (Brust–Taille)")
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if cfg.get("show_circumference_index_chart", False):
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idx = circ.get("index_series") or []
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if len(idx) >= 2:
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labels = [str(p.get("date") or "") for p in idx]
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ds: list[dict[str, Any]] = []
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for key, lab, col in (
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("waist_idx", "Taille-Index", "#D85A30"),
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("chest_idx", "Brust-Index", "#1D9E75"),
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("belly_idx", "Bauch-Index", "#378ADD"),
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):
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ys = [safe_float(p.get(key)) for p in idx]
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if any(v is not None for v in ys):
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ds.append({"label": lab, "data": ys, "borderColor": col})
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if ds:
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pl = {"chart_type": "line", "data": {"labels": labels, "datasets": ds}, "metadata": {"confidence": "high"}}
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_add_chart_to_story(story, styles, pl, "Umfang-Indizes")
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story.append(Spacer(1, 2 * mm))
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def _append_nutrition_bundle(story: list, styles: dict, profile_id: str, cfg: dict[str, Any]) -> None:
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days = int(cfg.get("chart_days") or 30)
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bundle = get_nutrition_history_viz_bundle(profile_id, days)
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story.append(Paragraph(escape(BUNDLE_HEADINGS["nutrition_history_viz"]), styles["Heading2"]))
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if not bundle.get("has_nutrition_entries"):
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story.append(Paragraph(escape(bundle.get("message") or "Keine Ernährungsdaten"), styles["Normal"]))
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story.append(Spacer(1, 4 * mm))
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return
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compact = cfg.get("kpi_detail") == "compact"
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if cfg.get("show_kpis", True):
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_append_kpi_tiles_fitness_nutreco(story, styles, bundle.get("kpi_tiles") or [], compact)
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if cfg.get("show_heuristics", False):
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h = bundle.get("nutrition_correlation_heuristics") or []
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for item in h:
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t = item.get("text") or item.get("title")
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if t:
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story.append(Paragraph(f"• {escape(str(t))}", styles["Normal"]))
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story.append(Spacer(1, 2 * mm))
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charts = bundle.get("chart_payloads") or {}
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if cfg.get("show_calorie_balance_chart", False) or cfg.get("show_energy_protein_charts", False):
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pl = charts.get("energy_balance")
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if pl:
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_add_chart_to_story(story, styles, pl, "Energiebilanz")
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if cfg.get("show_energy_protein_charts", False) or cfg.get("show_protein_lean_chart", False):
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pl = charts.get("protein_adequacy")
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if pl:
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_add_chart_to_story(story, styles, pl, "Protein-Adäquanz")
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pl2 = charts.get("nutrition_adherence")
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if pl2:
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_add_chart_to_story(story, styles, pl2, "Ernährungs-Adherence")
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if cfg.get("show_macro_distribution_pair", False) or cfg.get("show_macro_daily_bars", False):
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wm = bundle.get("weekly_macro_chart")
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if isinstance(wm, dict) and wm.get("chart_type"):
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_add_chart_to_story(story, styles, wm, "Makros (wöchentlich)")
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kw = bundle.get("kcal_vs_weight") or {}
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if cfg.get("show_kcal_vs_weight", False) and kw.get("points"):
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pts = kw["points"]
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if pts:
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pl = _line_payload_from_points(pts, "date", "kcal", "kcal")
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if pl:
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_add_chart_to_story(story, styles, pl, "Kalorien vs. Zeit")
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story.append(Spacer(1, 2 * mm))
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def _append_fitness_bundle(story: list, styles: dict, profile_id: str, cfg: dict[str, Any]) -> None:
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days = int(cfg.get("chart_days") or 30)
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bundle = get_fitness_dashboard_viz_bundle(profile_id, days)
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story.append(Paragraph(escape(BUNDLE_HEADINGS["fitness_history_viz"]), styles["Heading2"]))
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if not bundle.get("has_activity_entries"):
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story.append(Paragraph(escape(bundle.get("message") or "Keine Aktivitätsdaten"), styles["Normal"]))
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story.append(Spacer(1, 4 * mm))
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return
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compact = cfg.get("kpi_detail") == "compact"
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if cfg.get("show_kpis", True):
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_append_kpi_tiles_fitness_nutreco(story, styles, bundle.get("kpi_tiles") or [], compact)
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if cfg.get("show_progress_insights", False):
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_append_insights_lines(story, styles, bundle.get("progress_insights") or [], "Einschätzungen")
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charts = bundle.get("charts") or {}
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if cfg.get("show_chart_training_volume", True) and charts.get("training_volume"):
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_add_chart_to_story(story, styles, charts["training_volume"], "Trainingsvolumen")
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if cfg.get("show_chart_training_type_distribution", True) and charts.get("training_type_distribution"):
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_add_chart_to_story(story, styles, charts["training_type_distribution"], "Trainingsarten")
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if cfg.get("show_chart_quality_sessions", False) and charts.get("quality_sessions"):
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_add_chart_to_story(story, styles, charts["quality_sessions"], "Qualitätssessions")
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if cfg.get("show_chart_load_monitoring", False) and charts.get("load_monitoring"):
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_add_chart_to_story(story, styles, charts["load_monitoring"], "Last / ACWR")
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story.append(Spacer(1, 2 * mm))
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def _append_recovery_bundle(story: list, styles: dict, profile_id: str, cfg: dict[str, Any]) -> None:
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days = int(cfg.get("chart_days") or 30)
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bundle = get_recovery_dashboard_viz_bundle(profile_id, days)
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story.append(Paragraph(escape(BUNDLE_HEADINGS["recovery_history_viz"]), styles["Heading2"]))
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if not bundle.get("has_recovery_data"):
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story.append(Paragraph(escape(bundle.get("message") or "Keine Erholungsdaten"), styles["Normal"]))
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story.append(Spacer(1, 4 * mm))
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return
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compact = cfg.get("kpi_detail") == "compact"
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if cfg.get("show_kpis", True):
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_append_kpi_tiles_fitness_nutreco(story, styles, bundle.get("kpi_tiles") or [], compact)
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|
|
if cfg.get("show_progress_insights", False):
|
|||
|
|
_append_insights_lines(story, styles, bundle.get("progress_insights") or [], "Einschätzungen")
|
|||
|
|
charts = bundle.get("charts") or {}
|
|||
|
|
if cfg.get("show_chart_recovery_score", True) and charts.get("recovery_score"):
|
|||
|
|
_add_chart_to_story(story, styles, charts["recovery_score"], "Recovery-Score")
|
|||
|
|
if cfg.get("show_chart_hrv_rhr", True) and charts.get("hrv_rhr"):
|
|||
|
|
_add_chart_to_story(story, styles, charts["hrv_rhr"], "HRV / RHR")
|
|||
|
|
if cfg.get("show_chart_sleep_quality", True) and charts.get("sleep_duration_quality"):
|
|||
|
|
_add_chart_to_story(story, styles, charts["sleep_duration_quality"], "Schlaf Dauer & Qualität")
|
|||
|
|
if cfg.get("show_chart_sleep_debt", False) and charts.get("sleep_debt"):
|
|||
|
|
_add_chart_to_story(story, styles, charts["sleep_debt"], "Schlafschuld")
|
|||
|
|
if cfg.get("show_vitals_extra_trends", False):
|
|||
|
|
if charts.get("vital_signs_matrix"):
|
|||
|
|
_add_chart_to_story(story, styles, charts["vital_signs_matrix"], "Vital-Matrix")
|
|||
|
|
if charts.get("vitals_history"):
|
|||
|
|
_add_chart_to_story(story, styles, charts["vitals_history"], "Vital-Trends")
|
|||
|
|
story.append(Spacer(1, 2 * mm))
|
|||
|
|
|
|||
|
|
|
|||
|
|
def _append_history_overview_bundle(story: list, styles: dict, profile_id: str, cfg: dict[str, Any]) -> None:
|
|||
|
|
days = int(cfg.get("chart_days") or 30)
|
|||
|
|
bundle = get_history_overview_viz_bundle(profile_id, days)
|
|||
|
|
story.append(Paragraph(escape(BUNDLE_HEADINGS["history_overview_viz"]), styles["Heading2"]))
|
|||
|
|
sect_keys = {
|
|||
|
|
"body": cfg.get("show_section_body", True),
|
|||
|
|
"nutrition": cfg.get("show_section_nutrition", True),
|
|||
|
|
"fitness": cfg.get("show_section_fitness", True),
|
|||
|
|
"recovery": cfg.get("show_section_recovery", True),
|
|||
|
|
}
|
|||
|
|
for sec in bundle.get("sections") or []:
|
|||
|
|
sid = sec.get("id")
|
|||
|
|
if not sect_keys.get(str(sid), True):
|
|||
|
|
continue
|
|||
|
|
title = escape(str(sec.get("title") or sid))
|
|||
|
|
line = escape(str(sec.get("summary_line") or ""))
|
|||
|
|
story.append(Paragraph(f"<b>{title}</b>: {line}", styles["Normal"]))
|
|||
|
|
for it in sec.get("interpretation_short") or []:
|
|||
|
|
t = it.get("title") if isinstance(it, dict) else None
|
|||
|
|
if t:
|
|||
|
|
story.append(Paragraph(f"• {escape(str(t))}", styles["BodyText"]))
|
|||
|
|
for k in sec.get("kpi_short") or []:
|
|||
|
|
if isinstance(k, dict):
|
|||
|
|
cat = k.get("category") or k.get("title")
|
|||
|
|
val = k.get("value")
|
|||
|
|
if cat:
|
|||
|
|
story.append(Paragraph(f"• {escape(str(cat))}: {escape(str(val or ''))}", styles["BodyText"]))
|
|||
|
|
story.append(Spacer(1, 2 * mm))
|
|||
|
|
if cfg.get("show_correlation_c1_c3", True) or cfg.get("show_drivers_c4", True):
|
|||
|
|
lag = bundle.get("lag_correlations") or {}
|
|||
|
|
we = lag.get("weight_energy") or {}
|
|||
|
|
if we.get("available") and (we.get("interpretation") or we.get("label")):
|
|||
|
|
lab = escape(str(we.get("label") or "C1"))
|
|||
|
|
interp = escape(str(we.get("interpretation") or "").strip())
|
|||
|
|
if interp:
|
|||
|
|
story.append(Paragraph(f"{lab}: {interp}", styles["Normal"]))
|
|||
|
|
charts = bundle.get("chart_payloads") or {}
|
|||
|
|
if cfg.get("show_correlation_c1_c3", True):
|
|||
|
|
for key, cap in (
|
|||
|
|
("c1_weight_energy", "Korrelation Gewicht / Energie"),
|
|||
|
|
("c2_protein_lbm", "Protein / Magermasse"),
|
|||
|
|
("c3_load_vitals", "Last / Vitalwerte"),
|
|||
|
|
):
|
|||
|
|
pl = charts.get(key)
|
|||
|
|
if pl:
|
|||
|
|
_add_chart_to_story(story, styles, pl, cap)
|
|||
|
|
if cfg.get("show_drivers_c4", True):
|
|||
|
|
pl = charts.get("c4_recovery_performance")
|
|||
|
|
if pl:
|
|||
|
|
_add_chart_to_story(story, styles, pl, "Top-Treiber")
|
|||
|
|
drv = (bundle.get("lag_correlations") or {}).get("recovery_performance") or {}
|
|||
|
|
for d in (drv.get("drivers") or [])[:12]:
|
|||
|
|
if isinstance(d, dict):
|
|||
|
|
lab = d.get("label") or d.get("factor")
|
|||
|
|
val = d.get("impact") or d.get("score")
|
|||
|
|
if lab:
|
|||
|
|
story.append(Paragraph(f"• {escape(str(lab))}: {escape(str(val or ''))}", styles["Normal"]))
|
|||
|
|
story.append(Spacer(1, 2 * mm))
|
|||
|
|
|
|||
|
|
|
|||
|
|
def append_viz_bundle_to_story(
|
|||
|
|
story: list,
|
|||
|
|
styles: dict,
|
|||
|
|
profile_id: str,
|
|||
|
|
bundle_id: str,
|
|||
|
|
raw_config: dict[str, Any],
|
|||
|
|
) -> None:
|
|||
|
|
cfg = validate_widget_entry_config(bundle_id, raw_config)
|
|||
|
|
if bundle_id == "body_history_viz":
|
|||
|
|
_append_body_bundle(story, styles, profile_id, cfg)
|
|||
|
|
elif bundle_id == "nutrition_history_viz":
|
|||
|
|
_append_nutrition_bundle(story, styles, profile_id, cfg)
|
|||
|
|
elif bundle_id == "fitness_history_viz":
|
|||
|
|
_append_fitness_bundle(story, styles, profile_id, cfg)
|
|||
|
|
elif bundle_id == "recovery_history_viz":
|
|||
|
|
_append_recovery_bundle(story, styles, profile_id, cfg)
|
|||
|
|
elif bundle_id == "history_overview_viz":
|
|||
|
|
_append_history_overview_bundle(story, styles, profile_id, cfg)
|
|||
|
|
else:
|
|||
|
|
story.append(Paragraph(escape(f"Unbekanntes Bundle: {bundle_id}"), styles["Normal"]))
|