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base_data_local.py
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base_data_local.py
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from models.nse_scrapper import parse_company_base_info, nse_xml_parser
from schema.CompanyData import Company, TradingData, FinancialStatements, CorporateDisclosures
import os
from dotenv import load_dotenv
import csv
# Environment
load_dotenv()
LISTED_COMPANIES_ENDPOINT = os.environ.get("LISTED_COMPANIES_ENDPOINT")
TRADE_HISTORY_ENDPOINT = os.environ.get("TRADE_HISTORY_ENDPOINT")
FINANCIAL_STATEMENTS_ENDPOINT = os.environ.get("FINANCIAL_STATEMENTS_ENDPOINT")
CORPORATE_DISCLOSURES_ENDPOINT = os.environ.get(
"CORPORATE_DISCLOSURES_ENDPOINT")
# Get Company Base information
base_data = parse_company_base_info(url=LISTED_COMPANIES_ENDPOINT)
company_base_data = []
for data in base_data:
newCompany = Company(
id=data["$id"],
internationalSecNumber=data["InternationSecIN"],
symbol=data["Symbol"],
marketCap=data["MarketCap"],
sharesOutstanding=data["SharesOutstanding"],
sector=data["Sector"],
subSector=data["SubSector"],
companyName=data["CompanyName"],
marketClassification=data["MarketClassification"],
dateListed=data["DateListed"],
dateOfIncorporation=data["DateOfIncorporation"],
website=data["Website"],
natureofBusiness=data["NatureofBusiness"],
companyAddress=data["CompanyAddress"],
telephone=data["Telephone"],
fax=data["Fax"],
email=data["Email"],
companySecretary=data["CompanySecretary"],
auditor=data['Auditor'],
registrars=data["Registrars"],
boardOfDirectors=data["BoardOfDirectors"]
)
company_base_data.append(newCompany.company_data_summary())
fieldNames = list(Company.__dict__['__annotations__'].keys())
# Parse to csv
with open('./tmp/company_base_data.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldNames)
writer.writeheader()
writer.writerows(company_base_data)
trade_history = []
for company in company_base_data:
search_id = company['internationalSecNumber']
url = f"{TRADE_HISTORY_ENDPOINT}/{search_id}"
print(url)
trading_history = parse_company_base_info(url=url)
for data in trading_history:
newTradingData = TradingData(
internationalSecNumber=search_id,
tradeId=data['Id'],
price=data['PRICE'],
indexDate=data['INDEX_DATE'],
indexTime=data['INDEX_TIME'],
volume=data['VOLUME']
)
trade_history.append(newTradingData.trading_data_summary())
print(trade_history)
# Parse to csv
fieldNames = list(TradingData.__dict__['__annotations__'].keys())
with open('./tmp/company_trading_history.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldNames)
writer.writeheader()
writer.writerows(trade_history)
financial_statements_data = []
for company in company_base_data:
search_id = company['internationalSecNumber']
url = f"{FINANCIAL_STATEMENTS_ENDPOINT} '{search_id}' and (Type_of_Submission eq 'Financial Statements' or Type_of_Submission eq 'EarningForcast')"
financial_statements = nse_xml_parser(url=url)
for data in financial_statements:
newFinancialStatement = FinancialStatements(
internationalSecNumber=search_id,
typeOfSubmission=data['type_of_submission'],
description=data['description'],
url=data['url'],
dateModified=data['modified']
)
financial_statements_data.append(
newFinancialStatement.financial_statements_summary())
# Parse to csv
fieldNames = list(FinancialStatements.__dict__['__annotations__'].keys())
print(fieldNames)
with open('./tmp/company_financial_statements.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldNames)
writer.writeheader()
writer.writerows(financial_statements_data)
corporate_disclosures = parse_xml_data(
url=CORPORATE_DISCLOSURES_ENDPOINT)
corporate_disclosures_data = []
for company in company_base_data:
search_id = company['internationalSecNumber']
url = f"{CORPORATE_DISCLOSURES_ENDPOINT} '{search_id}' and (Type_of_Submission eq 'Corporate Actions' or Type_of_Submission eq 'Corporate Disclosures' or substringof('Meeting' ,Type_of_Submission))"
corporate_disclosures = nse_xml_parser(url=url)
for data in corporate_disclosures:
newCorporateDisclosures = CorporateDisclosures(
internationalSecNumber=search_id,
typeOfSubmission=data['type_of_submission'],
description=data['description'],
url=data['url'],
dateModified=data['modified']
)
corporate_disclosures_data.append(
newCorporateDisclosures.corporate_disclosures_summary())
# Parse to csv
fieldNames = list(CorporateDisclosures.__dict__['__annotations__'].keys())
print(fieldNames)
with open('./tmp/company_corporate_disclosures.csv', 'w') as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=fieldNames)
writer.writeheader()
writer.writerows(corporate_disclosures_data)