dak.c2s/backend/app/services/vorjahr_service.py
CCS Admin 72b6f784fc feat: report service — all 5 sheet calculations + year-over-year
Implements report_service.py with:
- Sheet 1: Auswertung KW gesamt (weekly totals + year summary)
- Sheet 2: Auswertung nach Fachgebieten (per-KW per-Fallgruppe)
- Sheet 3: Auswertung Gutachten (alternative/bestaetigung per group)
- Sheet 4: Auswertung Therapieaenderungen (TA metrics per KW)
- Sheet 5: Auswertung ICD onko (ICD code frequency for onko)
- Dashboard KPIs (total_cases, pending_icd, pending_coding, etc.)
- generate_full_report() for all 5 sheets combined

Implements vorjahr_service.py with:
- Cached year-over-year comparison via yearly_summary table
- get_vorjahr_summary() for Sheet 1 comparison columns
- get_vorjahr_detail() for full previous-year breakdown
- refresh_vorjahr_cache() for cache invalidation

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-24 08:02:53 +00:00

204 lines
7.4 KiB
Python

"""Vorjahr (previous-year) comparison service.
Provides aggregated previous-year data for Sheet 1's year-over-year columns.
Uses the yearly_summary table as a cache — if summary rows exist for the
previous year they are aggregated directly; otherwise the live cases table
is queried and the results are stored for future lookups.
"""
from __future__ import annotations
import logging
from sqlalchemy.orm import Session
from app.models.report import YearlySummary
from app.services.report_service import (
FALLGRUPPEN,
calculate_sheet1_data,
calculate_sheet2_data,
calculate_sheet3_data,
calculate_sheet4_data,
)
logger = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Public API
# ---------------------------------------------------------------------------
def get_vorjahr_summary(db: Session, jahr: int) -> dict:
"""Get previous year's aggregated data for comparison.
First checks the ``yearly_summary`` table (cached per-KW rows).
If no cached data exists, calculates live from the cases table and
persists the results for future use.
Returns::
{
"jahr": int,
"erstberatungen": int,
"ablehnungen": int,
"unterlagen": int,
"keine_rueckmeldung": int,
"gutachten": int,
"gutachten_alternative": int,
"gutachten_bestaetigung": int,
}
"""
vorjahr = jahr - 1
summaries = (
db.query(YearlySummary)
.filter(YearlySummary.jahr == vorjahr)
.all()
)
if summaries:
logger.debug("Vorjahr %d: using %d cached summary rows", vorjahr, len(summaries))
return _aggregate_summaries(vorjahr, summaries)
# No cache — calculate live and store
logger.info("Vorjahr %d: no cache, calculating from cases table", vorjahr)
return _calculate_and_cache(db, vorjahr)
def get_vorjahr_detail(db: Session, jahr: int) -> dict:
"""Get previous year's full breakdown (all sheets) for side-by-side comparison.
This always calculates live from the cases table (no caching of detail data).
Returns the same structure as ``generate_full_report`` but for *jahr - 1*.
"""
vorjahr = jahr - 1
from app.services.report_service import generate_full_report
return generate_full_report(db, vorjahr)
def refresh_vorjahr_cache(db: Session, jahr: int) -> int:
"""Recalculate and store yearly summary rows for the given year.
This is useful after historical data has been imported or corrected.
Returns the number of KW rows written.
"""
logger.info("Refreshing yearly summary cache for jahr=%d", jahr)
# Delete existing cache rows for this year
db.query(YearlySummary).filter(YearlySummary.jahr == jahr).delete()
db.flush()
return _store_summaries(db, jahr)
# ---------------------------------------------------------------------------
# Internal helpers
# ---------------------------------------------------------------------------
def _aggregate_summaries(jahr: int, summaries: list[YearlySummary]) -> dict:
"""Sum up weekly YearlySummary rows into yearly totals."""
result = {
"jahr": jahr,
"erstberatungen": sum(_safe(s.erstberatungen) for s in summaries),
"ablehnungen": sum(_safe(s.ablehnungen) for s in summaries),
"unterlagen": sum(_safe(s.unterlagen) for s in summaries),
"keine_rueckmeldung": sum(_safe(s.keine_rueckmeldung) for s in summaries),
"gutachten": sum(_safe(s.gutachten_gesamt) for s in summaries),
"gutachten_alternative": sum(_safe(s.gutachten_alternative) for s in summaries),
"gutachten_bestaetigung": sum(_safe(s.gutachten_bestaetigung) for s in summaries),
}
return result
def _calculate_and_cache(db: Session, jahr: int) -> dict:
"""Calculate from cases, store in yearly_summary, return aggregated."""
written = _store_summaries(db, jahr)
logger.info("Cached %d KW rows for jahr=%d", written, jahr)
# Re-read from cache to return consistent data
summaries = (
db.query(YearlySummary)
.filter(YearlySummary.jahr == jahr)
.all()
)
return _aggregate_summaries(jahr, summaries)
def _store_summaries(db: Session, jahr: int) -> int:
"""Calculate all sheet data and store one YearlySummary row per KW.
Returns number of KW rows written.
"""
sheet1 = calculate_sheet1_data(db, jahr)
sheet2 = calculate_sheet2_data(db, jahr)
sheet3 = calculate_sheet3_data(db, jahr)
sheet4 = calculate_sheet4_data(db, jahr)
written = 0
for i, s1_week in enumerate(sheet1["weekly"]):
kw = s1_week["kw"]
s2_week = sheet2["weekly"][i]
s3_week = sheet3["weekly"][i]
s4_week = sheet4["weekly"][i]
# Skip KWs with zero data everywhere (no need to store empty rows)
if s1_week["erstberatungen"] == 0 and s1_week["gutachten"] == 0:
continue
summary = YearlySummary(
jahr=jahr,
kw=kw,
# Sheet 1 totals
erstberatungen=s1_week["erstberatungen"],
ablehnungen=s1_week["ablehnungen"],
unterlagen=s1_week["unterlagen"],
keine_rueckmeldung=s1_week["keine_rm"],
gutachten_gesamt=s1_week["gutachten"],
# Sheet 3 gesamt
gutachten_alternative=s3_week["gesamt"]["alternative"],
gutachten_bestaetigung=s3_week["gesamt"]["bestaetigung"],
# Sheet 2: per-Fallgruppe
onko_anzahl=s2_week["onko"]["anzahl"],
onko_gutachten=s2_week["onko"]["gutachten"],
onko_keine_rm=s2_week["onko"]["keine_rm"],
kardio_anzahl=s2_week["kardio"]["anzahl"],
kardio_gutachten=s2_week["kardio"]["gutachten"],
kardio_keine_rm=s2_week["kardio"]["keine_rm"],
intensiv_anzahl=s2_week["intensiv"]["anzahl"],
intensiv_gutachten=s2_week["intensiv"]["gutachten"],
intensiv_keine_rm=s2_week["intensiv"]["keine_rm"],
galle_anzahl=s2_week["galle"]["anzahl"],
galle_gutachten=s2_week["galle"]["gutachten"],
galle_keine_rm=s2_week["galle"]["keine_rm"],
sd_anzahl=s2_week["sd"]["anzahl"],
sd_gutachten=s2_week["sd"]["gutachten"],
sd_keine_rm=s2_week["sd"]["keine_rm"],
# Sheet 3: per-Fallgruppe gutachten types
onko_alternative=s3_week["onko"]["alternative"],
onko_bestaetigung=s3_week["onko"]["bestaetigung"],
kardio_alternative=s3_week["kardio"]["alternative"],
kardio_bestaetigung=s3_week["kardio"]["bestaetigung"],
intensiv_alternative=s3_week["intensiv"]["alternative"],
intensiv_bestaetigung=s3_week["intensiv"]["bestaetigung"],
galle_alternative=s3_week["galle"]["alternative"],
galle_bestaetigung=s3_week["galle"]["bestaetigung"],
sd_alternative=s3_week["sd"]["alternative"],
sd_bestaetigung=s3_week["sd"]["bestaetigung"],
# Sheet 4: therapy changes
ta_ja=s4_week["ta_ja"],
ta_nein=s4_week["ta_nein"],
ta_diagnosekorrektur=s4_week["diagnosekorrektur"],
ta_unterversorgung=s4_week["unterversorgung"],
ta_uebertherapie=s4_week["uebertherapie"],
)
db.add(summary)
written += 1
db.commit()
return written
def _safe(val) -> int:
"""Coerce None to 0."""
return val if val is not None else 0