def close_order(request):
ac = Authentication(request)
# if user is not logged in response user not exist
if not ac.is_user_logged_in():
return JsonResponse(
Helper.get_json_response(False, [], ['Please login']))
user_id = ac.get_user_session()
post = request.POST
transaction_id = post['transaction_id']
transaction = Trading.get_transaction_by_id(transaction_id, user_id)
if not transaction:
return JsonResponse(
Helper.get_json_response(False, {},
["Trade data is not available"]))
if Trading.validate_changes_allowed_time_exceeded(
transaction['changes_allowed_time']):
return JsonResponse(
Helper.get_json_response(
False, {},
["Trade closing time is expired and cannot be closed"]))
update_transactions_by_state_outcome(transaction, Status.FINISHED.value,
Outcome.NONE.value)
Trading.pay_back(user_id, transaction['amount'])
return JsonResponse(
Helper.get_json_response(True, {},
['Trade has been closed successfully']))
def join(request):
transaction_id = request.POST['trans']
selected_level = request.POST['selected_level']
ac = Authentication(request)
user_id = ac.get_user_session()
error_messages = []
error_messages.extend(validate_level_selection(selected_level))
error_messages.extend(
validate_level_already_taken(transaction_id, selected_level))
error_messages.extend(validate_user_count_exceeded(transaction_id))
error_messages.extend(
validate_level_users(transaction_id, user_id, selected_level))
parent_trade = get_parent_trade(transaction_id)
error_messages.extend(
validate_changes_allowed_time_exceeded(
parent_trade["changes_allowed_time"]))
if error_messages:
return JsonResponse(Helper.get_json_response(False, {},
error_messages))
current_user = Helper.get_user_by_id(user_id)
persist_join(user_id, transaction_id, parent_trade, selected_level,
current_user)
return JsonResponse(
Helper.get_json_response(True, {}, ["Trade joined successfully"]))
def get_pending_order(request):
post = request.POST
transaction_id = post['transaction_id']
user_id = post['user_id']
result = Trading.get_transaction_by_id(transaction_id, user_id)
if not result:
return JsonResponse(
Helper.get_json_response(False, {},
["Trade data is not available"]))
user_data = Helper.get_user_by_id(user_id)
data = dict()
data["transaction_id"] = result["transaction_id"]
data["created_date"] = result["created_date"]
data["trade_type"] = result["trade_type"].capitalize()
data["purchase_type"] = result["purchase_type"].capitalize()
data["currency"] = result["currency"]
data["amount"] = result["amount"]
data["start_time"] = str(result["start_time"])
data["end_time"] = str(result["end_time"])
data["changes_allowed_time"] = str(result["changes_allowed_time"])
data["outcome"] = result["outcome"].capitalize()
data["status"] = result["status"].capitalize()
data["amount_currency"] = user_data["currency"]
return JsonResponse(Helper.get_json_response(True, data, []))
def chart(request):
ac = Authentication(request)
# if user is not logged in redirect to login page
if not ac.is_user_logged_in():
return JsonResponse(Helper.get_json_response(False, [], ["Unauthorized Access"]))
post = request.POST
start_date = post['start_date']
end_date = post['end_date']
user_id = ac.get_user_session()
data = []
if not start_date and not end_date:
return JsonResponse(Helper.get_json_response(True, get_initial_chart_data(user_id), []))
stat_key = post['type']
if stat_key == "buy_sell":
return JsonResponse(
get_chart_by_state_keys(user_id, [StatKeys.BUY.value, StatKeys.SELL.value], start_date, end_date))
if stat_key == "win_loss_count":
return JsonResponse(
get_chart_by_state_keys(user_id, [StatKeys.WON.value, StatKeys.LOSS.value], start_date, end_date))
if stat_key == "win_loss_amount":
return JsonResponse(
get_chart_by_state_keys(user_id, [StatKeys.D_WON.value, StatKeys.D_LOSS.value], start_date, end_date))
return JsonResponse(get_filtered_chart_data(user_id, start_date, end_date, stat_key))
def get_filtered_chart_data(user_id, start_date, end_date, stat_key):
cursor = connection.cursor()
result = []
if not start_date:
return Helper.get_json_response(False, dict(), ['Please select a start date'])
if start_date and not end_date:
result = cursor.execute(f"SELECT * FROM states WHERE user_id = {user_id} "
f"AND type = '{stat_key}'and date >= '{start_date}'")
if start_date and end_date:
result = cursor.execute(f"SELECT * FROM states WHERE user_id = {user_id} "
f"AND type = '{stat_key}'and date >= '{start_date}' "
f"and date <= '{end_date}'")
if result:
response = dict()
df = pd.DataFrame(result)
item = dict()
item['date'] = df['date'].astype(str).to_json(orient='records')
item['value'] = df['value'].astype(float).to_json(orient='records')
response[stat_key] = item
return Helper.get_json_response(True, response, [''])
return Helper.get_json_response(False, dict(), ['Data not available for this range'])
def get_chart_by_state_keys(user_id, key_list, start_date, end_date):
cursor = connection.cursor()
response = dict()
result = []
for stat_key in key_list:
if not start_date:
return Helper.get_json_response(False, dict(), ['Please select a start date'])
if start_date and not end_date:
result = cursor.execute(f"SELECT * FROM states WHERE user_id = {user_id} "
f"AND type = '{stat_key}'and date >= '{start_date}'")
if start_date and end_date:
result = cursor.execute(f"SELECT * FROM states WHERE user_id = {user_id} "
f"AND type = '{stat_key}'and date >= '{start_date}' "
f"and date <= '{end_date}'")
item = dict()
item['date'] = json.dumps([])
item['value'] = json.dumps([])
response[stat_key] = item
if result:
df = pd.DataFrame(result)
item['date'] = df['date'].astype(str).to_json(orient='records')
item['value'] = df['value'].astype(float).to_json(orient='records')
response[stat_key] = item
return Helper.get_json_response(True, response, [])
def join_trade(request):
ac = Authentication(request)
# if user is not logged in response user not exist
if not ac.is_user_logged_in():
return JsonResponse(
Helper.get_json_response(False, [], ['Please login']))
return join(request)
def get_forecast(request):
post = request.POST
currency_pair = post["currency_pair"]
data = dict()
cursor = connection.cursor()
today_date = Helper.get_today_date()
result = cursor.execute(
f"SELECT * FROM forecast WHERE currency_pair = '{currency_pair}' AND "
f"date > '{today_date}'")
result = result.all()
if result:
df = pd.DataFrame(result)
data["date"] = df['date'].astype(str).to_json(orient='records')
data["value"] = df['value'].astype(float).to_json(orient='records')
return JsonResponse(Helper.get_json_response(True, data, []))
return JsonResponse(Helper.get_json_response(False, {}, []))
def get_transaction(request):
ac = Authentication(request)
# if user is not logged in response user not exist
if not ac.is_user_logged_in():
return JsonResponse(
Helper.get_json_response(False, [], ['Please login']))
post = request.POST
trade = Trading.get_transaction_by_id(post['transaction_ref'],
post['trade_owner'])
if not trade:
return JsonResponse(
Helper.get_json_response(False, [], ["Trade not available"]))
user_id = ac.get_user_session()
current_user = Helper.get_user_by_id(user_id)
trade_data = dict()
trade_data['contract_type'] = trade['trade_type']
trade_data['transaction_ref'] = trade['transaction_id']
trade_data['purchase_type'] = trade['purchase_type']
trade_data['start_time'] = trade['start_time']
trade_data['end_time'] = trade['end_time']
if trade['trade_type'] == Types.LEVELS.value:
trade_data['amount'] = Helper.convert_currency(
trade['amount'], trade['amount_currency'],
current_user['currency'])
trade_data['selected_level'] = trade['level_selected']
trade_data['user_count'] = 4 - len(trade['available_levels'])
trade_data['available_levels'] = trade['available_levels']
else:
trade_data['amount'] = trade['amount']
trade_data['user_currency'] = current_user['currency']
trade_data['staring_price'] = trade['staring_price']
trade_data['closing_price'] = trade['closing_price']
trade_data['outcome'] = trade['outcome']
trade_data['status'] = trade['status']
return JsonResponse(Helper.get_json_response(True, [trade_data], []))
def get_history(currency, timeframe, price_type, chart_type):
start_date = ""
end_date = ""
if timeframe == 'ticks':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(hours=3))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_pip_data"
if timeframe == 'minute':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=3))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data"
if timeframe == 'five_min':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=3))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data_five_min"
if timeframe == 'fifteen_min':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=4))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data_fifteen_min"
if timeframe == 'thirty_min':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=10))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data_thirty_min"
if timeframe == 'hour':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=15))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data_one_hour"
if timeframe == 'four_hours':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=15))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data_four_hours"
if timeframe == 'one_day':
start_date = Helper.get_time_formatted(datetime.now() -
timedelta(days=100))
end_date = Helper.get_time_formatted(datetime.now())
table = "forex_data_one_day"
cursor = connection.cursor()
result = cursor.execute(
f"SELECT * FROM {table} WHERE currency_pair = '{currency}' "
f"and timestamp > '{start_date}' AND timestamp < '{end_date}'")
if not result:
return JsonResponse(
Helper.get_json_response(False, {}, ["Data Not available"]))
df = pd.DataFrame(result)
df = df.sort_values(by='timestamp', ascending=True)
timestamp = df['timestamp'].astype(str).to_json(orient='records')
data = dict()
if chart_type == "line":
if price_type == "close":
close = df['close'].to_json(orient='records')
data["timestamp"] = timestamp
data["close"] = close
if price_type == "open":
open_price = df['open'].to_json(orient='records')
data["timestamp"] = timestamp
data["open"] = open_price
if price_type == "high":
high = df['high'].to_json(orient='records')
data["timestamp"] = timestamp
data["high"] = high
if price_type == "low":
low = df['low'].to_json(orient='records')
data["timestamp"] = timestamp
data["low"] = low
if chart_type == "candlestick":
close = df['close'].to_json(orient='records')
open_price = df['open'].to_json(orient='records')
high = df['high'].to_json(orient='records')
low = df['low'].to_json(orient='records')
data["timestamp"] = timestamp
data["close"] = close
data["open"] = open_price
data["high"] = high
data["low"] = low
return JsonResponse(Helper.get_json_response(True, data, []))
def create_trade(req):
post = req.POST
currency = post['currency']
time_to_close = post['time_to_close']
time_slot = post['time_slot']
time_count = post['time_count']
end_date = post['end_date']
end_time = post['end_time']
amount = post['amount']
gap_pips = post['gap_pips']
select_level = post['select_level']
purchase = post['purchase']
trade_type = 'levels'
start_time = datetime.now()
ac = Authentication(req)
user_id = ac.get_user_session()
trade_start_time = datetime.now()
error_messages = []
error_messages.extend(Trading.validate_currency(currency))
error_messages.extend(validate_pip_gaps(gap_pips))
error_messages.extend(validate_levels(select_level))
error_messages.extend(Trading.validate_time_to_close(time_to_close))
error_messages.extend(
Trading.validate_closing_types(time_to_close, time_slot, time_count,
end_date, end_time))
error_messages.extend(Trading.validate_amount(amount, user_id))
error_messages.extend(
validated_end_date(time_to_close, end_date, end_time, time_slot,
time_count, start_time))
# final method to get selected levels
levels_price = get_price_range_by_level(currency, gap_pips, purchase)
# final method to get selected level
selected_level = get_selected_level(select_level, currency, gap_pips,
purchase)
# final method to get trade closing time
trade_closing_time = get_trade_end_time(time_to_close, end_date, end_time,
time_slot, time_count, start_time)
error_messages.extend(Trading.validate_close_time_day(trade_closing_time))
error_messages.extend(Trading.validate_end_time(trade_closing_time))
if error_messages:
return JsonResponse(Helper.get_json_response(False, {},
error_messages))
price = Helper.get_current_price(currency)
changes_allowed_time = Trading.get_trade_changing_blocked_time(
start_time, trade_closing_time)
level_owners = get_level_owner(select_level, user_id)
time_now_formatted = Helper.get_current_time_formatted()
time_now = datetime.strptime(time_now_formatted, '%Y-%m-%d %H:%M:%S.%f%z')
purchase_type = Trading.get_trade_type(purchase)
available_levels = get_available_levels(Levels.levels.value, select_level)
current_user = Helper.get_user_by_id(user_id)
user_currency = current_user['currency']
user_transaction = TransactionsByUser(user_id=user_id,
created_date=time_now)
user_transaction.save()
query = f"SELECT * FROM transactions_by_user WHERE user_id = {user_id} and created_date = '{time_now_formatted}'"
cursor = connection.cursor()
transaction_id = cursor.execute(query)
transaction_id = transaction_id[0]["id"]
user_transactions = f"INSERT INTO user_transactions " \
f"(transaction_id,user_id,created_date,trade_type,purchase_type,currency,staring_price,amount," \
f"start_time,end_time,changes_allowed_time,outcome,status,level_pips, levels_price,level_owners," \
f"join_date,level_start_price,level_end_price,level_selected,created_by,child," \
f"available_levels,amount_currency) " \
f"VALUES " \
f"({transaction_id},{user_id},'{time_now_formatted}','{Types.LEVELS.value}','{purchase_type}'," \
f"'{currency}',{float(price)},{float(amount)},'{Helper.get_time_formatted(trade_start_time)}'," \
f"'{Helper.get_time_formatted(trade_closing_time)}'," \
f"'{Helper.get_time_formatted(changes_allowed_time)}','{Outcome.NONE.value}'," \
f"'{Status.STARTED.value}',{int(gap_pips)},'{json.dumps(levels_price)}','{level_owners}'," \
f"'{time_now_formatted}',{selected_level['range'][0]},{selected_level['range'][1]}," \
f"{selected_level['level']},{user_id},{False},{available_levels},'{current_user['currency']}')"
cursor.execute(user_transactions)
transactions_by_state = f"INSERT INTO transactions_by_state " \
f"(transaction_id,user_id,currency,purchase_type,outcome,status,created_date,amount," \
f"trade_type) " \
f"VALUES " \
f"({transaction_id},{user_id},'{currency}','{purchase_type}','{Outcome.NONE.value}'," \
f"'{Status.STARTED.value}','{time_now_formatted}',{float(amount)},'{Types.LEVELS.value}')"
cursor.execute(transactions_by_state)
transactions_levels_status = f"INSERT INTO transactions_levels_status " \
f"(transaction_id,user_id,outcome,purchase_type,currency,status,created_date,amount," \
f"trade_type,start_time,end_time,available_levels,amount_currency) " \
f"VALUES " \
f"({transaction_id},{user_id},'{Outcome.NONE.value}','{purchase_type}','{currency}'," \
f"'{Status.STARTED.value}','{time_now_formatted}',{float(amount)}," \
f"'{Types.LEVELS.value}','{Helper.get_time_formatted(trade_start_time)}'," \
f"'{Helper.get_time_formatted(trade_closing_time)}',{available_levels}, '{user_currency}')"
cursor.execute(transactions_levels_status)
transactions_by_end_time = f"INSERT INTO transactions_by_end_time " \
f"(transaction_id,user_id,status,trade_type,end_time) " \
f"VALUES " \
f"({transaction_id},{user_id},'{Status.STARTED.value}','{Types.LEVELS.value}'," \
f"'{Helper.get_time_formatted(trade_closing_time)}')"
cursor.execute(transactions_by_end_time)
transactions_changes_allowed_time = f"INSERT INTO transactions_changes_allowed_time " \
f"(transaction_id,user_id,status,changes_allowed_time) " \
f"VALUES " \
f"({transaction_id},{user_id},'{Status.STARTED.value}'," \
f"'{Helper.get_time_formatted(changes_allowed_time)}')"
cursor.execute(transactions_changes_allowed_time)
level_based_user_counts = f"INSERT INTO level_based_user_counts " \
f"(transaction_id,user_count) " \
f"VALUES " \
f"({transaction_id},1)"
cursor.execute(level_based_user_counts)
level_based_user_levels = f"INSERT INTO level_based_user_levels " \
f"(transaction_id,level_number) " \
f"VALUES " \
f"({transaction_id},{selected_level['level']})"
cursor.execute(level_based_user_levels)
level_based_by_user_id = f"INSERT INTO level_based_by_user_id " \
f"(transaction_id,owner,user_id) " \
f"VALUES " \
f"({transaction_id},{True},{user_id})"
cursor.execute(level_based_by_user_id)
updated_amount = float(current_user['vcurrency']) - float(amount)
# update account balance
user_vcurrency = f"UPDATE user_by_id SET vcurrency = {updated_amount} WHERE id = {user_id}"
cursor.execute(user_vcurrency)
Helper.store_state_value(user_id, StatKeys.BALANCE.value, amount,
'subtract')
Helper.store_state_value(user_id, StatKeys.NUM_TRADES.value, 1, 'add')
Helper.store_state_value(user_id, StatKeys.LEVELS.value, 1, 'add')
Trading.save_purchase_stats(user_id, purchase_type)
Trading.save_levels_stats(user_id, select_level)
Trading.save_levels_general_stats(user_id, select_level, amount,
purchase_type)
return JsonResponse(
Helper.get_json_response(True, {
'transaction_id': str(transaction_id),
"user_id": str(user_id)
}, ['Trade created successfully']))