mitai-jinkendo/backend/csv_parser/module_registry.py
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feat(csv-import): Refactor CSV import logic and enhance data handling
- Updated the CSV import architecture to clarify the distinction between import and data layer responsibilities, as outlined in the new section of ARCHITECTURE.md.
- Enhanced the build_row_after_mapping function to include module-specific context for improved data processing.
- Introduced source unit options in the admin CSV template editor to facilitate user-defined conversions, improving flexibility in handling various data formats.
- Added new tests to validate the handling of source units and ensure accurate conversions during CSV imports.
- Updated module definitions to include unit specifications for nutritional and activity data fields, enhancing data integrity.
2026-04-10 09:54:32 +02:00

129 lines
5.3 KiB
Python

"""
Ziel-Module für CSV-Import: Tabellen-Felder, Pflichtfelder, Duplikat-Strategie (Issue #21).
Hinweis: blood_pressure nutzt in der DB measured_at; Logik-Felder measured_date + measured_time
werden im Executor zu measured_at zusammengefügt (Phase Import-Executor).
Activity: date kann aus start_time (ISO-Datetime) abgeleitet werden, wenn nur start_time gesetzt ist.
"""
from __future__ import annotations
from typing import Any, Dict, cast
MODULE_DEFINITIONS: Dict[str, Dict[str, Any]] = {
"nutrition": {
"table": "nutrition_log",
"fields": {
"date": {"type": "date", "required": True},
"kcal": {"type": "float", "required": False, "unit": "kcal"},
"protein_g": {"type": "float", "required": False, "min": 0, "unit": "g"},
"fat_g": {"type": "float", "required": False, "min": 0, "unit": "g"},
"carbs_g": {"type": "float", "required": False, "min": 0, "unit": "g"},
},
"duplicate_key": ["profile_id", "date"],
"duplicate_strategy": "update",
},
"activity": {
"table": "activity_log",
"fields": {
"date": {"type": "date", "required": False},
"start_time": {"type": "datetime", "required": False},
"end_time": {"type": "datetime", "required": False},
"activity_type": {"type": "string", "required": True},
"duration_min": {"type": "float", "required": False, "min": 0},
"kcal_active": {"type": "float", "required": False, "unit": "kcal"},
"kcal_resting": {"type": "float", "required": False, "unit": "kcal"},
"distance_km": {"type": "float", "required": False, "unit": "km"},
"hr_avg": {"type": "float", "required": False, "min": 30, "max": 220},
"hr_max": {"type": "float", "required": False, "min": 30, "max": 220},
},
"derive_date_from_datetime_field": "start_time",
"duplicate_key": ["profile_id", "date", "start_time"],
"duplicate_strategy": "update",
},
"sleep": {
"table": "sleep_log",
"fields": {},
"import_mode": "apple_sleep_aggregate",
},
"vitals_baseline": {
"table": "vitals_baseline",
"fields": {
"date": {"type": "date", "required": True},
"resting_hr": {"type": "int", "required": False},
"hrv": {"type": "int", "required": False},
"vo2_max": {"type": "float", "required": False},
"spo2": {"type": "int", "required": False},
"respiratory_rate": {"type": "float", "required": False},
},
"duplicate_key": ["profile_id", "date"],
"duplicate_strategy": "update",
},
"blood_pressure": {
"table": "blood_pressure_log",
"fields": {
"measured_date": {"type": "date", "required": True},
"measured_time": {"type": "time", "required": True},
"systolic": {"type": "int", "required": True},
"diastolic": {"type": "int", "required": True},
"pulse": {"type": "int", "required": False},
},
"logical_to_db": "blood_pressure_composite_measured_at",
"duplicate_key": ["profile_id", "measured_at"],
"duplicate_strategy": "update",
},
"weight": {
"table": "weight_log",
"fields": {
"date": {"type": "date", "required": True},
"weight": {"type": "float", "required": True, "min": 20, "max": 400, "unit": "kg"},
"note": {"type": "string", "required": False, "max_length": 2000},
},
"duplicate_key": ["profile_id", "date"],
"duplicate_strategy": "update",
},
}
def get_module_definition(module: str) -> Dict[str, Any] | None:
return MODULE_DEFINITIONS.get(module)
def list_modules() -> list[str]:
return sorted(MODULE_DEFINITIONS.keys())
def validate_field_mappings(module: str, field_mappings: dict) -> None:
"""Wirft ValueError bei unbekanntem Modul oder unbekanntem DB-Feld."""
mod = get_module_definition(module)
if not mod:
raise ValueError(f"Unbekanntes Modul: {module}")
fields = cast(dict, mod["fields"])
allowed = set(fields.keys())
if not allowed:
for _csv_col, db_field in field_mappings.items():
if db_field not in ("", None, "-", "_skip"):
raise ValueError(
f"Modul '{module}' nutzt einen Aggregat-Import ohne Spalten-Mapping; "
f"alle Spalten müssen „ignorieren“ sein."
)
return
for _csv_col, db_field in field_mappings.items():
if db_field in ("", None, "-", "_skip"):
continue
if db_field not in allowed:
raise ValueError(f"Ungültiges Zielfeld '{db_field}' für Modul '{module}'")
def validate_required_field_targets(module: str, field_mappings: dict) -> None:
"""Stellt sicher, dass jedes als required markierte Zielfeld mindestens einer Spalte zugeordnet ist."""
mod = get_module_definition(module)
if not mod:
raise ValueError(f"Unbekanntes Modul: {module}")
field_defs = cast(dict, mod["fields"])
targets = {v for v in field_mappings.values() if v and v not in ("-", "_skip")}
for fname, finfo in field_defs.items():
if finfo.get("required") and fname not in targets:
raise ValueError(f"Pflicht-Zielfeld nicht zugeordnet: {fname}")