giga_tcg/app/services/util/_dataframe.py
zman cc365970a9 Squashed commit of the following:
commit 893b229cc6b35c09181a84050f34fb79024e41c2
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 22:14:08 2025 -0500

    j

commit 06f539aea2f4fff9da7038d43d0de553c4423796
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:55:30 2025 -0500

    fk

commit d0c2960ec9f334448d2eb3573b9d7817482abf46
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:50:53 2025 -0500

    frick

commit 6b1362c166fc5f51c3bcf316a99116f0d11074a5
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:49:40 2025 -0500

    database

commit 8cadc6df4c817d9d05503807e56287fd00e5e939
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:38:09 2025 -0500

    asdf

commit 1ca6f9868452e34143b8df4a412be35e6902a31e
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:32:50 2025 -0500

    fffff

commit 8bb337a9c35e830ef9ce3dac0a0f2df3fe9bc5a0
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:31:13 2025 -0500

    ffff

commit 65aba280c55fa09c6a37f688f485efab1f70792b
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:26:16 2025 -0500

    aa

commit 59ef03a59ee4a15c30e080a1aef7c31c0214a2e3
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:24:21 2025 -0500

    asdf

commit f44d5740fc9315ccb0792ecac3e8ec9f28f171be
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:23:32 2025 -0500

    aaa

commit 13c96b164316b4908d9d01e454cbdc9103157558
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:18:54 2025 -0500

    sdf

commit 949c795fd13d93c9618613740fb093f6bb7b7710
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 21:17:53 2025 -0500

    asdf

commit 8c3cd423fe228e8aff112a050170246a5fc9f8bd
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:56:01 2025 -0500

    app2

commit 78eafc739ebb7f100f657964b3ad8f4937a4046b
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:54:55 2025 -0500

    app

commit dc47eced143e77ebec415bdfbe209d9466b7bcf1
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:43:15 2025 -0500

    asdfasdfasdf

commit e24bcae88cf8c14ea543f49b639b2976c627d201
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:39:44 2025 -0500

    a

commit c894451bfe790c97ac0e01085615d7c7288a39da
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:38:20 2025 -0500

    req

commit 3d09869562a96b5adc7c4be279bc8c003bbb37b2
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:33:27 2025 -0500

    wrong number = code dont work lol i love computers

commit 4c93a1271b8aea159cf53f8d7879b00513886d6f
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 20:29:39 2025 -0500

    q

commit 1f5361da88fe3903a1e92a345fa56bb390f69d92
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 18:27:20 2025 -0500

    same as original code now -5 days of my life

commit 511b070cbbcd29b4e784e9a09d58481e50e6e82f
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 13:52:28 2025 -0500

    pricey worky

commit 964fdd641b63530c59e038ebc7d1e01e9570d75c
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Fri Feb 7 11:37:29 2025 -0500

    prep for pricing service work

commit a78c3bcba303c2605b6277c1db33b155abe4db1b
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Wed Feb 5 21:51:22 2025 -0500

    more stuff yay

commit bd9cfca7a95c89b2140eec57bf52bc84432b9a4e
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Tue Feb 4 22:30:33 2025 -0500

    GIGA FIXED EVERYTHING OMG

commit 85510a46713e0ac660e70c7befb4e94ccf11912e
Author: zman <joshua.k.rzemien@gmail.com>
Date:   Tue Feb 4 00:01:34 2025 -0500

    data model change and some new services
2025-02-07 22:20:34 -05:00

72 lines
2.9 KiB
Python

import pandas as pd
from io import StringIO
from app.db.models import File
class ManaboxRow:
def __init__(self, row: pd.Series):
# Integer field
try:
self.manabox_id = int(row['manabox_id'])
except (ValueError, TypeError):
raise ValueError(f"manabox_id must be convertible to integer, got: {row['manabox_id']}")
# String fields with None/NaN handling
self.name = str(row['name']) if pd.notna(row['name']) else ''
self.set_code = str(row['set_code']) if pd.notna(row['set_code']) else ''
self.set_name = str(row['set_name']) if pd.notna(row['set_name']) else ''
self.collector_number = str(row['collector_number']) if pd.notna(row['collector_number']) else ''
self.foil = str(row['foil']) if pd.notna(row['foil']) else ''
self.rarity = str(row['rarity']) if pd.notna(row['rarity']) else ''
self.scryfall_id = str(row['scryfall_id']) if pd.notna(row['scryfall_id']) else ''
self.condition = str(row['condition']) if pd.notna(row['condition']) else ''
self.language = str(row['language']) if pd.notna(row['language']) else ''
self.quantity = str(row['quantity']) if pd.notna(row['quantity']) else ''
class TCGPlayerPricingRow:
def __init__(self, row: pd.Series):
self.tcgplayer_id = row['tcgplayer_id']
self.product_line = row['product_line']
self.set_name = row['set_name']
self.product_name = row['product_name']
self.title = row['title']
self.number = row['number']
self.rarity = row['rarity']
self.condition = row['condition']
self.tcg_market_price = row['tcg_market_price']
self.tcg_direct_low = row['tcg_direct_low']
self.tcg_low_price_with_shipping = row['tcg_low_price_with_shipping']
self.tcg_low_price = row['tcg_low_price']
self.total_quantity = row['total_quantity']
self.add_to_quantity = row['add_to_quantity']
self.tcg_marketplace_price = row['tcg_marketplace_price']
self.photo_url = row['photo_url']
class DataframeUtil:
def __init__(self):
pass
def format_df_columns(self, df: pd.DataFrame) -> pd.DataFrame:
df.columns = df.columns.str.lower()
df.columns = df.columns.str.replace(' ', '_')
return df
def file_to_df(self, file: File) -> pd.DataFrame:
with open(file.filepath, 'rb') as f:
content = f.read()
content = content.decode('utf-8')
df = pd.read_csv(StringIO(content))
df = self.format_df_columns(df)
return df
def csv_bytes_to_df(self, content: bytes) -> pd.DataFrame:
content = content.decode('utf-8')
df = pd.read_csv(StringIO(content))
df = self.format_df_columns(df)
return df
def df_to_csv_bytes(self, df: pd.DataFrame) -> bytes:
csv = df.to_csv(index=False)
return csv.encode('utf-8')