468 lines
19 KiB
Plaintext
468 lines
19 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "0eb4ab92",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import datetime\n",
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"import numpy as np\n",
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"import uuid "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "4ed42153",
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"metadata": {},
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"outputs": [],
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"source": [
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"class DealManager():\n",
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" \n",
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" def __init__(self):\n",
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" self.commission=0.04\n",
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" self.columns=['uuid','figi','amount','startPrice','profit']\n",
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" self.deals = pd.DataFrame(columns=self.columns)\n",
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" self.deals = self.deals.set_index('uuid')\n",
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" \n",
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" def findDealByPriceAndFig(self,price,figi):\n",
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" ans=None\n",
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" for i in range(self.deals.shape[0]):\n",
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" if self.deals.iloc[i].startPrice == price and self.deals.iloc[i].figi == figi:\n",
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" ans = self.deals.iloc[i].name\n",
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" break\n",
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" return ans\n",
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"\n",
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" def openDeal(self,figi,startPrice,amount=1):\n",
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" desiredDeal=self.findDealByPriceAndFig(startPrice,figi)\n",
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" if desiredDeal == None:\n",
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" newDealDict={\n",
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" 'uuid':[str(uuid.uuid4())],\n",
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" 'figi':[figi],\n",
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" 'startPrice':[startPrice],\n",
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" 'amount':[amount]\n",
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" }\n",
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"\n",
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" #newDealDict['profit']=[startPrice*pow(1+self.commission,2)]\n",
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"\n",
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"\n",
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"\n",
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" newDeal=pd.DataFrame.from_dict(newDealDict).set_index('uuid')\n",
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" self.deals=pd.concat([self.deals, newDeal])\n",
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" else:\n",
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" self.deals.at[desiredDeal,'amount'] += amount\n",
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"\n",
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" def closeDeal(self,uuid,amount):\n",
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" \n",
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" desiredDeal=self.deals.loc[uuid]\n",
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" if desiredDeal.amount - amount == 0:\n",
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" self.deals = self.deals.drop(labels = [uuid],axis = 0)\n",
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" else:\n",
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" self.deals.at[uuid,'amount'] -= amount\n",
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" #self.deals.loc[uuid].amount = desiredDeal.amount - amount\n",
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" "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "622b8115",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{'commission': 0.04,\n",
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" 'columns': ['uuid', 'figi', 'amount', 'startPrice', 'profit'],\n",
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" 'deals': Empty DataFrame\n",
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" Columns: [figi, amount, startPrice, profit]\n",
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" Index: []}"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t=DealManager()\n",
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"t.__dict__"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e3509306",
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"metadata": {},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "4fae838f",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t.deals.shape[0]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "68ec95c6",
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"metadata": {},
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"outputs": [],
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"source": [
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"t.openDeal('huigi',100,1)\n",
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"t.openDeal('huigi',100,3)\n",
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"t.openDeal('huigi1',100,3)\n",
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"t.openDeal('huigi1',200,3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "cc5f9cb2",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>figi</th>\n",
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" <th>amount</th>\n",
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" <th>startPrice</th>\n",
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" <th>profit</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>uuid</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>a38e6fa8-c160-481c-b666-78ec9fade50b</th>\n",
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" <td>huigi</td>\n",
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" <td>4</td>\n",
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" <td>100</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>482abf6b-7a4f-4e49-aea6-1b5940277c24</th>\n",
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" <td>huigi1</td>\n",
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" <td>3</td>\n",
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" <td>100</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6e940b6a-30e1-435c-b214-fc952aba02dc</th>\n",
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" <td>huigi1</td>\n",
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" <td>3</td>\n",
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" <td>200</td>\n",
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" <td>NaN</td>\n",
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" </tr>\n",
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],
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"text/plain": [
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" figi amount startPrice profit\n",
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"uuid \n",
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"a38e6fa8-c160-481c-b666-78ec9fade50b huigi 4 100 NaN\n",
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"482abf6b-7a4f-4e49-aea6-1b5940277c24 huigi1 3 100 NaN\n",
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"6e940b6a-30e1-435c-b214-fc952aba02dc huigi1 3 200 NaN"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t.deals"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "eed2748a",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>figi</th>\n",
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" <th>amount</th>\n",
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" <th>startPrice</th>\n",
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" <th>profit</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>uuid</th>\n",
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" <th>482abf6b-7a4f-4e49-aea6-1b5940277c24</th>\n",
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" <td>100</td>\n",
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" <th>6e940b6a-30e1-435c-b214-fc952aba02dc</th>\n",
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" <td>huigi1</td>\n",
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" <td>3</td>\n",
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" <td>200</td>\n",
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" <td>NaN</td>\n",
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"text/plain": [
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" figi amount startPrice profit\n",
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"uuid \n",
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"482abf6b-7a4f-4e49-aea6-1b5940277c24 huigi1 3 100 NaN\n",
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"6e940b6a-30e1-435c-b214-fc952aba02dc huigi1 3 200 NaN"
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t.deals[t.deals.figi == 'huigi1']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d7a4a820",
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "0cac1f5c",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"figi huigi\n",
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"amount 4\n",
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"startPrice 100\n",
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"profit NaN\n",
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"Name: a38e6fa8-c160-481c-b666-78ec9fade50b, dtype: object\n",
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"figi huigi1\n",
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"amount 3\n",
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"startPrice 100\n",
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"profit NaN\n",
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"Name: 482abf6b-7a4f-4e49-aea6-1b5940277c24, dtype: object\n",
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"figi huigi1\n",
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"amount 3\n",
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"startPrice 200\n",
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"profit NaN\n",
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"Name: 6e940b6a-30e1-435c-b214-fc952aba02dc, dtype: object\n"
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]
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}
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],
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"source": [
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"for i in range(t.deals.shape[0]):\n",
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" print(t.deals.iloc[i])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"id": "8906d273",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<bound method DealManager.findDealByPriceAndFig of <__main__.DealManager object at 0x7f05b4351590>>"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t.findDealByPriceAndFig"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "896d4dac",
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"metadata": {},
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"outputs": [
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{
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"ename": "KeyError",
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"evalue": "'78228979-3daf-470a-9c2a-8db180c8c3b0'",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
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"File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexes/base.py:3791\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3790\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3791\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_engine\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcasted_key\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3792\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
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"File \u001b[0;32mindex.pyx:152\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
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"File \u001b[0;32mindex.pyx:181\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
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"File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7080\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
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"File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
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"\u001b[0;31mKeyError\u001b[0m: '78228979-3daf-470a-9c2a-8db180c8c3b0'",
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"\nThe above exception was the direct cause of the following exception:\n",
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"\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcloseDeal\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m78228979-3daf-470a-9c2a-8db180c8c3b0\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 2\u001b[0m t\u001b[38;5;241m.\u001b[39mdeals\n",
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"Cell \u001b[0;32mIn[2], line 38\u001b[0m, in \u001b[0;36mDealManager.closeDeal\u001b[0;34m(self, uuid, amount)\u001b[0m\n\u001b[1;32m 36\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcloseDeal\u001b[39m(\u001b[38;5;28mself\u001b[39m,uuid,amount):\n\u001b[0;32m---> 38\u001b[0m desiredDeal\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdeals\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloc\u001b[49m\u001b[43m[\u001b[49m\u001b[43muuid\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 39\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m desiredDeal\u001b[38;5;241m.\u001b[39mamount \u001b[38;5;241m-\u001b[39m amount \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 40\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeals \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdeals\u001b[38;5;241m.\u001b[39mdrop(labels \u001b[38;5;241m=\u001b[39m [uuid],axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m)\n",
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"File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexing.py:1153\u001b[0m, in \u001b[0;36m_LocationIndexer.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 1150\u001b[0m axis \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxis \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m 1152\u001b[0m maybe_callable \u001b[38;5;241m=\u001b[39m com\u001b[38;5;241m.\u001b[39mapply_if_callable(key, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj)\n\u001b[0;32m-> 1153\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_getitem_axis\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmaybe_callable\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexing.py:1393\u001b[0m, in \u001b[0;36m_LocIndexer._getitem_axis\u001b[0;34m(self, key, axis)\u001b[0m\n\u001b[1;32m 1391\u001b[0m \u001b[38;5;66;03m# fall thru to straight lookup\u001b[39;00m\n\u001b[1;32m 1392\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_validate_key(key, axis)\n\u001b[0;32m-> 1393\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_label\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexing.py:1343\u001b[0m, in \u001b[0;36m_LocIndexer._get_label\u001b[0;34m(self, label, axis)\u001b[0m\n\u001b[1;32m 1341\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_label\u001b[39m(\u001b[38;5;28mself\u001b[39m, label, axis: AxisInt):\n\u001b[1;32m 1342\u001b[0m \u001b[38;5;66;03m# GH#5567 this will fail if the label is not present in the axis.\u001b[39;00m\n\u001b[0;32m-> 1343\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mxs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlabel\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m)\u001b[49m\n",
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"File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/generic.py:4236\u001b[0m, in \u001b[0;36mNDFrame.xs\u001b[0;34m(self, key, axis, level, drop_level)\u001b[0m\n\u001b[1;32m 4234\u001b[0m new_index \u001b[38;5;241m=\u001b[39m index[loc]\n\u001b[1;32m 4235\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 4236\u001b[0m loc \u001b[38;5;241m=\u001b[39m \u001b[43mindex\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_loc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 4238\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(loc, np\u001b[38;5;241m.\u001b[39mndarray):\n\u001b[1;32m 4239\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m loc\u001b[38;5;241m.\u001b[39mdtype \u001b[38;5;241m==\u001b[39m np\u001b[38;5;241m.\u001b[39mbool_:\n",
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"File \u001b[0;32m~/projects/marketTrade/.venv/lib/python3.11/site-packages/pandas/core/indexes/base.py:3798\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 3793\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m 3794\u001b[0m \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m 3795\u001b[0m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m 3796\u001b[0m ):\n\u001b[1;32m 3797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3798\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m 3799\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m 3800\u001b[0m \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m 3801\u001b[0m \u001b[38;5;66;03m# InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m 3802\u001b[0m \u001b[38;5;66;03m# the TypeError.\u001b[39;00m\n\u001b[1;32m 3803\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
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"\u001b[0;31mKeyError\u001b[0m: '78228979-3daf-470a-9c2a-8db180c8c3b0'"
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]
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}
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],
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"source": [
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"t.closeDeal('78228979-3daf-470a-9c2a-8db180c8c3b0',1)\n",
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"t.deals"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "8fbd7460",
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"metadata": {},
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"outputs": [
|
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{
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"data": {
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"text/plain": [
|
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"'a38e6fa8-c160-481c-b666-78ec9fade50b'"
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]
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},
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"execution_count": 11,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t.deals.iloc[0].name"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 12,
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"id": "83549b44",
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"metadata": {},
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"outputs": [
|
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{
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"data": {
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"text/plain": [
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"False"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"a=2\n",
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"a==None\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2d794cff",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
|