def test_ParseTables(self):
# test equity tables
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
schema = [
str, str, dd_mmm_yyyy, float, float, float, float, float, float,
float, int, float, int, int, float
]
bs = BeautifulSoup(htmls.html_equity)
t = ParseTables(soup=bs, schema=schema)
lst = text_to_list(htmls.csv_equity, schema=schema)
self.assertEqual(lst, t.get_tables())
# test derivative tables
schema = [
str, dd_mmm_yyyy, dd_mmm_yyyy, float, float, float, float, float,
float, int, float, int, int, float
]
bs = BeautifulSoup(htmls.html_derivative)
t = ParseTables(soup=bs, schema=schema)
lst = text_to_list(htmls.csv_derivative, schema)
self.assertEqual(lst, t.get_tables())
# test index tables
schema = [dd_mmm_yyyy, float, float, float, float, int, float]
bs = BeautifulSoup(htmls.html_index)
t = ParseTables(soup=bs, schema=schema)
lst = text_to_list(htmls.csv_index, schema)
self.assertEqual(lst, t.get_tables())
def test_ParseTables_equity(self):
# test equity tables
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
# schema for equity history values
schema = [str, str,
dd_mmm_yyyy,
float, float, float, float,
float, float, float, int, float,
int, int, float]
bs = BeautifulSoup(htmls.html_equity)
t = ParseTables(soup=bs,
schema=schema)
lst = text_to_list(htmls.csv_equity, schema)
self.assertEqual(lst, t.get_tables())
#test derivative tables
schema = [str, dd_mmm_yyyy, dd_mmm_yyyy,
float, float, float, float,
float, float, int, float,
int, int, float]
bs = BeautifulSoup(htmls.html_derivative)
t = ParseTables(soup=bs,
schema=schema)
lst = text_to_list(htmls.csv_derivative, schema)
self.assertEqual(lst, t.get_tables())
#test index tables
schema = [dd_mmm_yyyy,
float, float, float, float,
int, float]
bs = BeautifulSoup(htmls.html_index)
t = ParseTables(soup=bs,
schema=schema)
lst = text_to_list(htmls.csv_index, schema)
self.assertEqual(lst, t.get_tables())
def test_ParseTables_headers(self):
# test equity tables
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
# schema for equity history values
schema = [
str, str, dd_mmm_yyyy, float, float, float, float, float, float,
float, int, float, int, int, float
]
headers = [
"Symbol", "Series", "Date", "Prev Close", "Open", "High", "Low",
"Last", "Close", "VWAP", "Volume", "Turnover", "Trades",
"Deliverable Volume", "%Deliverble"
]
bs = BeautifulSoup(htmls.html_equity)
t = ParseTables(soup=bs, schema=schema, headers=headers, index='Date')
lst = text_to_list(htmls.csv_equity, schema)
df = t.get_df()
self.assertIn("Symbol", df.columns, str(df.columns))
def test_ParseTables_headers(self):
# test equity tables
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
# schema for equity history values
schema = [str, str,
dd_mmm_yyyy,
float, float, float, float,
float, float, float, int, float,
int, int, float]
headers = ["Symbol", "Series", "Date", "Prev Close",
"Open", "High", "Low","Last", "Close", "VWAP",
"Volume", "Turnover", "Trades", "Deliverable Volume",
"%Deliverble"]
bs = BeautifulSoup(htmls.html_equity)
t = ParseTables(soup=bs,
schema=schema, headers=headers,index='Date')
lst = text_to_list(htmls.csv_equity, schema)
df = t.get_df()
self.assertIn("Symbol",df.columns, str(df.columns))
def test_StrDate(self):
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
dt1 = dd_mmm_yyyy(date="12-Nov-2012")
dt2 = datetime.date(2012, 11, 12)
self.assertEqual(dt1, dt2)
def test_StrDate(self):
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
dt1 = dd_mmm_yyyy(date= "12-Nov-2012")
dt2 = datetime.date(2012, 11, 12)
self.assertEqual(dt1, dt2)
from django.db import models
from datetime import datetime
# Create your models here.
from nsepy.commons import StrDate
dd_mmm_yyyy = StrDate.default_format(format="%d-%b-%Y")
class Stock(models.Model):
symbol = models.CharField(default='NA', primary_key=True, max_length=200)
def __str__(self):
return self.symbol
class Share(models.Model):
symbol = models.ForeignKey(Stock, db_index=True)
series = models.CharField(default='NA', max_length=200)
date = models.DateTimeField(default=datetime.now())
prev_close = models.FloatField(default=0.0)
open = models.FloatField(default=0.0)
high = models.FloatField(default=0.0)
low = models.FloatField(default=0.0)
last = models.FloatField(default=0.0)
close = models.FloatField(default=0.0)
vwap = models.FloatField(default=0.0)
volume = models.IntegerField(default=0)
turnover = models.FloatField(default=0.0)
trades = models.IntegerField(default=0)
deliverable_volume = models.IntegerField(default=0)
percentage_deliverable = models.FloatField(default=0.0)
