Restructure into full project layout

This commit is contained in:
2026-06-16 23:06:16 -06:00
parent de4862b2d1
commit 57765496a6
74 changed files with 4441 additions and 3 deletions
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"""
Archidekt collection importer.
Supports two export formats:
- CSV (Collection -> Export -> CSV)
- JSON (Collection -> Export -> JSON)
CSV columns (current Archidekt format, as of 2024):
Quantity, Foil Quantity, Card Name, Set Code, Collector Number, ...
JSON format (array of card objects):
[{"quantity": 1, "foilQuantity": 0, "card": {"name": "...", "set": {"code": "..."}, "collectorNumber": "..."}}]
"""
import csv
import io
import json
from typing import Union
import chardet
from app.services.imports.models import RawCardRow
SOURCE = "archidekt"
# CSV column name aliases — Archidekt has changed these over time
_NAME_COLS = {"card name", "name", "cardname"}
_QTY_COLS = {"quantity", "qty", "count", "amount"}
_FOIL_COLS = {"foil quantity", "foil qty", "foilqty", "foilcount", "foils"}
_SET_COLS = {"set code", "set", "setcode", "edition"}
_COLLECTOR_COLS = {"collector number", "collector #", "collectornumber", "number"}
def parse(raw_bytes: bytes) -> list[RawCardRow]:
"""
Auto-detect CSV vs JSON and dispatch to the appropriate parser.
Raises ValueError with a human-readable message on unrecognised format.
"""
# Detect encoding
detected = chardet.detect(raw_bytes)
encoding = detected.get("encoding") or "utf-8"
text = raw_bytes.decode(encoding, errors="replace").strip()
if text.startswith("[") or text.startswith("{"):
return _parse_json(text)
else:
return _parse_csv(text)
def _parse_csv(text: str) -> list[RawCardRow]:
reader = csv.DictReader(io.StringIO(text))
if not reader.fieldnames:
raise ValueError("Archidekt CSV appears to be empty or has no header row")
# Normalise header names
headers = {h.strip().lower(): h for h in reader.fieldnames if h}
name_col = _find_col(headers, _NAME_COLS, "Card Name")
qty_col = _find_col(headers, _QTY_COLS, "Quantity")
foil_col = _find_col(headers, _FOIL_COLS, None, required=False)
set_col = _find_col(headers, _SET_COLS, None, required=False)
collect_col = _find_col(headers, _COLLECTOR_COLS, None, required=False)
rows: list[RawCardRow] = []
for i, row in enumerate(reader, start=2): # start=2 because row 1 is header
name = row.get(name_col, "").strip()
if not name:
continue
try:
qty = int(float(row.get(qty_col, "1") or "1"))
except (ValueError, TypeError):
qty = 1
try:
foil_qty = int(float(row.get(foil_col, "0") or "0")) if foil_col else 0
except (ValueError, TypeError):
foil_qty = 0
rows.append(RawCardRow(
card_name=name,
set_code=(row.get(set_col, "") or "").strip().lower() if set_col else "",
collector_number=(row.get(collect_col, "") or "").strip() if collect_col else "",
quantity=qty,
foil_quantity=foil_qty,
import_source=SOURCE,
raw=dict(row),
))
if not rows:
raise ValueError("Archidekt CSV contained no card rows")
return rows
def _parse_json(text: str) -> list[RawCardRow]:
try:
data = json.loads(text)
except json.JSONDecodeError as e:
raise ValueError(f"Archidekt JSON is malformed: {e}")
# Handle both bare array and {"cards": [...]} wrapper
if isinstance(data, dict):
data = data.get("cards") or data.get("collection") or []
if not isinstance(data, list):
raise ValueError("Archidekt JSON must be an array of card objects")
rows: list[RawCardRow] = []
for item in data:
card = item.get("card") or item # nested or flat
name = (
card.get("name")
or card.get("cardName")
or card.get("card_name")
or ""
).strip()
if not name:
continue
qty = int(item.get("quantity") or item.get("qty") or 1)
foil_qty = int(item.get("foilQuantity") or item.get("foil_quantity") or 0)
set_obj = card.get("set") or {}
set_code = (
set_obj.get("code") if isinstance(set_obj, dict) else str(set_obj)
).lower().strip()
collector = str(card.get("collectorNumber") or card.get("collector_number") or "").strip()
rows.append(RawCardRow(
card_name=name,
set_code=set_code,
collector_number=collector,
quantity=qty,
foil_quantity=foil_qty,
import_source=SOURCE,
raw=item,
))
if not rows:
raise ValueError("Archidekt JSON contained no card entries")
return rows
def _find_col(
headers: dict[str, str],
aliases: set[str],
fallback: str | None,
required: bool = True,
) -> str | None:
for alias in aliases:
if alias in headers:
return headers[alias]
if fallback and fallback.lower() in headers:
return headers[fallback.lower()]
if required:
raise ValueError(
f"Could not find required column. Expected one of: {sorted(aliases)}"
)
return None
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from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from sqlalchemy.dialects.postgresql import insert
from app.models.collection import CollectionCard
from app.services.imports.models import RawCardRow
from app.services import scryfall
async def enrich_and_upsert(rows: list[RawCardRow], user_id: int, db: AsyncSession) -> int:
# Try set+collector first for exact matches
enriched = {}
name_lookup = []
for row in rows:
if row.set_code and row.collector_number:
card = await scryfall.get_card_by_set_and_collector(row.set_code, row.collector_number)
if card:
enriched[row.card_name.lower()] = card
continue
name_lookup.append(row.card_name)
# Batch enrich remaining by name
if name_lookup:
name_map = await scryfall.batch_enrich_by_name(name_lookup)
enriched.update(name_map)
count = 0
for row in rows:
sf_data = enriched.get(row.card_name.lower())
if not sf_data:
continue
scryfall_id = sf_data["id"]
# Upsert — add quantities if card already exists
result = await db.execute(
select(CollectionCard).where(
CollectionCard.owner_id == user_id,
CollectionCard.scryfall_id == scryfall_id,
)
)
existing = result.scalar_one_or_none()
if existing:
existing.quantity += row.quantity
existing.foil_quantity += row.foil_quantity
existing.scryfall_data = sf_data
else:
db.add(CollectionCard(
owner_id=user_id,
card_name=sf_data.get("name", row.card_name),
set_code=sf_data.get("set", row.set_code),
collector_number=sf_data.get("collector_number", row.collector_number),
quantity=row.quantity,
foil_quantity=row.foil_quantity,
scryfall_id=scryfall_id,
scryfall_data=sf_data,
))
count += 1
await db.commit()
return count
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"""
Manabox collection importer.
Manabox exports a single CSV format:
Name, Set code, Collector number, Foil, Quantity, ...
The "Foil" column is a boolean ("Yes"/"No" or "1"/"0") applied per-row.
Manabox creates separate rows for foil and non-foil copies of the same card,
so we merge them into a single RawCardRow (quantity + foil_quantity).
"""
import csv
import io
from collections import defaultdict
import chardet
from app.services.imports.models import RawCardRow
SOURCE = "manabox"
_NAME_COLS = {"name", "card name", "cardname", "card_name"}
_SET_COLS = {"set code", "set", "setcode", "set_code", "edition code"}
_COLLECTOR_COLS = {"collector number", "collector #", "collectornumber", "number"}
_FOIL_COLS = {"foil", "is foil", "isfoil"}
_QTY_COLS = {"quantity", "qty", "count", "amount"}
def parse(raw_bytes: bytes) -> list[RawCardRow]:
detected = chardet.detect(raw_bytes)
encoding = detected.get("encoding") or "utf-8"
text = raw_bytes.decode(encoding, errors="replace").strip()
reader = csv.DictReader(io.StringIO(text))
if not reader.fieldnames:
raise ValueError("Manabox CSV appears to be empty or has no header row")
headers = {h.strip().lower(): h for h in reader.fieldnames if h}
name_col = _find_col(headers, _NAME_COLS, "Name")
set_col = _find_col(headers, _SET_COLS, None, required=False)
collect_col = _find_col(headers, _COLLECTOR_COLS, None, required=False)
foil_col = _find_col(headers, _FOIL_COLS, None, required=False)
qty_col = _find_col(headers, _QTY_COLS, "Quantity")
# Key: (card_name, set_code, collector_number) → merged row
merged: dict[tuple, RawCardRow] = defaultdict(lambda: RawCardRow(import_source=SOURCE))
for row in reader:
name = row.get(name_col, "").strip()
if not name:
continue
set_code = (row.get(set_col, "") or "").strip().lower() if set_col else ""
collector = (row.get(collect_col, "") or "").strip() if collect_col else ""
key = (name.lower(), set_code, collector)
try:
qty = int(float(row.get(qty_col, "1") or "1"))
except (ValueError, TypeError):
qty = 1
is_foil = _parse_bool(row.get(foil_col, "")) if foil_col else False
entry = merged[key]
entry.card_name = name
entry.set_code = set_code
entry.collector_number = collector
if is_foil:
entry.foil_quantity += qty
else:
entry.quantity += qty
if not merged:
raise ValueError("Manabox CSV contained no card rows")
return list(merged.values())
def _parse_bool(value: str) -> bool:
return str(value).strip().lower() in {"yes", "true", "1", "y"}
def _find_col(
headers: dict[str, str],
aliases: set[str],
fallback: str | None,
required: bool = True,
) -> str | None:
for alias in aliases:
if alias in headers:
return headers[alias]
if fallback and fallback.lower() in headers:
return headers[fallback.lower()]
if required:
raise ValueError(
f"Could not find required column. Expected one of: {sorted(aliases)}"
)
return None
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from dataclasses import dataclass, field
@dataclass
class RawCardRow:
card_name: str = ""
set_code: str = ""
collector_number: str = ""
quantity: int = 0
foil_quantity: int = 0
import_source: str = ""
raw: dict = field(default_factory=dict)