INSTRUCTION stringlengths 1 8.43k | RESPONSE stringlengths 75 104k |
|---|---|
The Master sent a Select command to the Outstation. Handle it. | def Select(self, command, index):
"""
The Master sent a Select command to the Outstation. Handle it.
:param command: ControlRelayOutputBlock,
AnalogOutputInt16, AnalogOutputInt32, AnalogOutputFloat32, or AnalogOutputDouble64.
:param index: int
:return... |
The Master sent an Operate command to the Outstation. Handle it. | def Operate(self, command, index, op_type):
"""
The Master sent an Operate command to the Outstation. Handle it.
:param command: ControlRelayOutputBlock,
AnalogOutputInt16, AnalogOutputInt32, AnalogOutputFloat32, or AnalogOutputDouble64.
:param index: int
... |
Send the Master an AnalogInput ( group 32 ) value. Command syntax is: a index value | def do_a(self, line):
"""Send the Master an AnalogInput (group 32) value. Command syntax is: a index value"""
index, value_string = self.index_and_value_from_line(line)
if index and value_string:
try:
self.application.apply_update(opendnp3.Analog(float(value_string)),... |
Send the Master a BinaryInput ( group 2 ) value. Command syntax is: b index true or b index false | def do_b(self, line):
"""Send the Master a BinaryInput (group 2) value. Command syntax is: 'b index true' or 'b index false'"""
index, value_string = self.index_and_value_from_line(line)
if index and value_string:
if value_string.lower() == 'true' or value_string.lower() == 'false':
... |
Send the Master a BinaryInput ( group 2 ) value of False at index 6. Command syntax is: b0 | def do_b0(self, line):
"""Send the Master a BinaryInput (group 2) value of False at index 6. Command syntax is: b0"""
self.application.apply_update(opendnp3.Binary(False), index=6) |
Send the Master a Counter ( group 22 ) value. Command syntax is: c index value | def do_c(self, line):
"""Send the Master a Counter (group 22) value. Command syntax is: c index value"""
index, value_string = self.index_and_value_from_line(line)
if index and value_string:
try:
self.application.apply_update(opendnp3.Counter(int(value_string)), index... |
Send the Master a DoubleBitBinaryInput ( group 4 ) value of DETERMINED_ON. Command syntax is: d index | def do_d(self, line):
"""Send the Master a DoubleBitBinaryInput (group 4) value of DETERMINED_ON. Command syntax is: d index"""
index = self.index_from_line(line)
if index:
self.application.apply_update(opendnp3.DoubleBitBinary(opendnp3.DoubleBit.DETERMINED_ON), index) |
Display a menu of command - line options. Command syntax is: menu | def do_menu(self, line):
"""Display a menu of command-line options. Command syntax is: menu"""
print('\ta\t\tAnalog measurement.\tEnter index and value as arguments.')
print('\ta2\t\tAnalog 2 for MMDC.Vol (index 4).')
print('\tb\t\tBinary measurement.\tEnter index and value as arguments.... |
Parse an index ( integer ) and value ( string ) from command line args and return them. | def index_and_value_from_line(line):
"""Parse an index (integer) and value (string) from command line args and return them."""
try:
index = int(line.split(' ')[0])
except (ValueError, IndexError):
print('Please enter an integer index as the first argument.')
i... |
Parse an index ( integer ) from command line args and return it. | def index_from_line(line):
"""Parse an index (integer) from command line args and return it."""
try:
index = int(line.split(' ')[0])
except (ValueError, IndexError):
print('Please enter an integer index as the first argument.')
index = None
return inde... |
Display a menu of command - line options. Command syntax is: menu | def do_menu(self, line):
"""Display a menu of command-line options. Command syntax is: menu"""
print('\tchan_log_all\tSet the channel log level to ALL_COMMS.')
print('\tchan_log_normal\tSet the channel log level to NORMAL.')
print('\tdisable_unsol\tPerform the function DISABLE_UNSOLICITE... |
Set the channel log level to ALL_COMMS. Command syntax is: chan_log_all | def do_chan_log_all(self, line):
"""Set the channel log level to ALL_COMMS. Command syntax is: chan_log_all"""
self.application.channel.SetLogFilters(openpal.LogFilters(opendnp3.levels.ALL_COMMS))
print('Channel log filtering level is now: {0}'.format(opendnp3.levels.ALL_COMMS)) |
Set the channel log level to NORMAL. Command syntax is: chan_log_normal | def do_chan_log_normal(self, line):
"""Set the channel log level to NORMAL. Command syntax is: chan_log_normal"""
self.application.channel.SetLogFilters(openpal.LogFilters(opendnp3.levels.NORMAL))
print('Channel log filtering level is now: {0}'.format(opendnp3.levels.NORMAL)) |
Perform the function DISABLE_UNSOLICITED. Command syntax is: disable_unsol | def do_disable_unsol(self, line):
"""Perform the function DISABLE_UNSOLICITED. Command syntax is: disable_unsol"""
headers = [opendnp3.Header().AllObjects(60, 2),
opendnp3.Header().AllObjects(60, 3),
opendnp3.Header().AllObjects(60, 4)]
self.application.mast... |
Set the master log level to ALL_COMMS. Command syntax is: mast_log_all | def do_mast_log_all(self, line):
"""Set the master log level to ALL_COMMS. Command syntax is: mast_log_all"""
self.application.master.SetLogFilters(openpal.LogFilters(opendnp3.levels.ALL_COMMS))
_log.debug('Master log filtering level is now: {0}'.format(opendnp3.levels.ALL_COMMS)) |
Set the master log level to NORMAL. Command syntax is: mast_log_normal | def do_mast_log_normal(self, line):
"""Set the master log level to NORMAL. Command syntax is: mast_log_normal"""
self.application.master.SetLogFilters(openpal.LogFilters(opendnp3.levels.NORMAL))
_log.debug('Master log filtering level is now: {0}'.format(opendnp3.levels.NORMAL)) |
Send a DirectOperate BinaryOutput ( group 12 ) index 5 LATCH_ON to the Outstation. Command syntax is: o1 | def do_o1(self, line):
"""Send a DirectOperate BinaryOutput (group 12) index 5 LATCH_ON to the Outstation. Command syntax is: o1"""
self.application.send_direct_operate_command(opendnp3.ControlRelayOutputBlock(opendnp3.ControlCode.LATCH_ON),
5,
... |
Send a DirectOperate BinaryOutput ( group 12 ) CommandSet to the Outstation. Command syntax is: o3 | def do_o3(self, line):
"""Send a DirectOperate BinaryOutput (group 12) CommandSet to the Outstation. Command syntax is: o3"""
self.application.send_direct_operate_command_set(opendnp3.CommandSet(
[
opendnp3.WithIndex(opendnp3.ControlRelayOutputBlock(opendnp3.ControlCode.LATCH... |
Request that the Outstation perform a cold restart. Command syntax is: restart | def do_restart(self, line):
"""Request that the Outstation perform a cold restart. Command syntax is: restart"""
self.application.master.Restart(opendnp3.RestartType.COLD, restart_callback) |
Send a SelectAndOperate BinaryOutput ( group 12 ) index 8 LATCH_ON to the Outstation. Command syntax is: s1 | def do_s1(self, line):
"""Send a SelectAndOperate BinaryOutput (group 12) index 8 LATCH_ON to the Outstation. Command syntax is: s1"""
self.application.send_select_and_operate_command(opendnp3.ControlRelayOutputBlock(opendnp3.ControlCode.LATCH_ON),
... |
Send a SelectAndOperate BinaryOutput ( group 12 ) CommandSet to the Outstation. Command syntax is: s2 | def do_s2(self, line):
"""Send a SelectAndOperate BinaryOutput (group 12) CommandSet to the Outstation. Command syntax is: s2"""
self.application.send_select_and_operate_command_set(opendnp3.CommandSet(
[
opendnp3.WithIndex(opendnp3.ControlRelayOutputBlock(opendnp3.ControlCod... |
Call ScanAllObjects. Command syntax is: scan_all | def do_scan_all(self, line):
"""Call ScanAllObjects. Command syntax is: scan_all"""
self.application.master.ScanAllObjects(opendnp3.GroupVariationID(2, 1), opendnp3.TaskConfig().Default()) |
Do an ad - hoc scan of a range of points ( group 1 variation 2 indexes 0 - 3 ). Command syntax is: scan_range | def do_scan_range(self, line):
"""Do an ad-hoc scan of a range of points (group 1, variation 2, indexes 0-3). Command syntax is: scan_range"""
self.application.master.ScanRange(opendnp3.GroupVariationID(1, 2), 0, 3, opendnp3.TaskConfig().Default()) |
Write a TimeAndInterval to the Outstation. Command syntax is: write_time | def do_write_time(self, line):
"""Write a TimeAndInterval to the Outstation. Command syntax is: write_time"""
millis_since_epoch = int((datetime.now() - datetime.utcfromtimestamp(0)).total_seconds() * 1000.0)
self.application.master.Write(opendnp3.TimeAndInterval(opendnp3.DNPTime(millis_since_ep... |
Wrapper function for Bloomberg connection | def with_bloomberg(func):
"""
Wrapper function for Bloomberg connection
Args:
func: function to wrap
"""
@wraps(func)
def wrapper(*args, **kwargs):
scope = utils.func_scope(func=func)
param = inspect.signature(func).parameters
port = kwargs.pop('port', _PORT_)
... |
Create Bloomberg connection | def create_connection(port=_PORT_, timeout=_TIMEOUT_, restart=False):
"""
Create Bloomberg connection
Returns:
(Bloomberg connection, if connection is new)
"""
if _CON_SYM_ in globals():
if not isinstance(globals()[_CON_SYM_], pdblp.BCon):
del globals()[_CON_SYM_]
i... |
Stop and destroy Bloomberg connection | def delete_connection():
"""
Stop and destroy Bloomberg connection
"""
if _CON_SYM_ in globals():
con = globals().pop(_CON_SYM_)
if not getattr(con, '_session').start(): con.stop() |
Find cached BDP/ BDS queries | def bdp_bds_cache(func, tickers, flds, **kwargs) -> ToQuery:
"""
Find cached `BDP` / `BDS` queries
Args:
func: function name - bdp or bds
tickers: tickers
flds: fields
**kwargs: other kwargs
Returns:
ToQuery(ticker, flds, kwargs)
"""
cache_data = []
... |
Parse versions | def parse_version(package):
"""
Parse versions
"""
init_file = f'{PACKAGE_ROOT}/{package}/__init__.py'
with open(init_file, 'r', encoding='utf-8') as f:
for line in f.readlines():
if '__version__' in line:
return line.split('=')[1].strip()[1:-1]
return '' |
Parse markdown as description | def parse_markdown():
"""
Parse markdown as description
"""
readme_file = f'{PACKAGE_ROOT}/README.md'
if path.exists(readme_file):
with open(readme_file, 'r', encoding='utf-8') as f:
long_description = f.read()
return long_description |
Parse the description in the README file | def parse_description(markdown=True):
"""
Parse the description in the README file
"""
if markdown: return parse_markdown()
try:
from pypandoc import convert
readme_file = f'{PACKAGE_ROOT}/docs/index.rst'
if not path.exists(readme_file):
raise ImportError
... |
Bloomberg overrides | def proc_ovrds(**kwargs):
"""
Bloomberg overrides
Args:
**kwargs: overrides
Returns:
list of tuples
Examples:
>>> proc_ovrds(DVD_Start_Dt='20180101')
[('DVD_Start_Dt', '20180101')]
>>> proc_ovrds(DVD_Start_Dt='20180101', cache=True, has_date=True)
[... |
Bloomberg overrides for elements | def proc_elms(**kwargs) -> list:
"""
Bloomberg overrides for elements
Args:
**kwargs: overrides
Returns:
list of tuples
Examples:
>>> proc_elms(PerAdj='A', Per='W')
[('periodicityAdjustment', 'ACTUAL'), ('periodicitySelection', 'WEEKLY')]
>>> proc_elms(Days... |
Standardized earning outputs and add percentage by each blocks | def format_earning(data: pd.DataFrame, header: pd.DataFrame) -> pd.DataFrame:
"""
Standardized earning outputs and add percentage by each blocks
Args:
data: earning data block
header: earning headers
Returns:
pd.DataFrame
Examples:
>>> format_earning(
... ... |
Format pdblp outputs to column - based results | def format_output(data: pd.DataFrame, source, col_maps=None) -> pd.DataFrame:
"""
Format `pdblp` outputs to column-based results
Args:
data: `pdblp` result
source: `bdp` or `bds`
col_maps: rename columns with these mappings
Returns:
pd.DataFrame
Examples:
>... |
Format intraday data | def format_intraday(data: pd.DataFrame, ticker, **kwargs) -> pd.DataFrame:
"""
Format intraday data
Args:
data: pd.DataFrame from bdib
ticker: ticker
Returns:
pd.DataFrame
Examples:
>>> format_intraday(
... data=pd.read_parquet('xbbg/tests/data/sample_b... |
Logging info for given tickers and fields | def info_qry(tickers, flds) -> str:
"""
Logging info for given tickers and fields
Args:
tickers: tickers
flds: fields
Returns:
str
Examples:
>>> print(info_qry(
... tickers=['NVDA US Equity'], flds=['Name', 'Security_Name']
... ))
ticker... |
Bloomberg reference data | def bdp(tickers, flds, **kwargs):
"""
Bloomberg reference data
Args:
tickers: tickers
flds: fields to query
**kwargs: bbg overrides
Returns:
pd.DataFrame
Examples:
>>> bdp('IQ US Equity', 'Crncy', raw=True)
ticker field value
0 IQ... |
Bloomberg block data | def bds(tickers, flds, **kwargs):
"""
Bloomberg block data
Args:
tickers: ticker(s)
flds: field(s)
**kwargs: other overrides for query
-> raw: raw output from `pdbdp` library, default False
Returns:
pd.DataFrame: block data
Examples:
>>> import os... |
Bloomberg historical data | def bdh(
tickers, flds=None, start_date=None, end_date='today', adjust=None, **kwargs
) -> pd.DataFrame:
"""
Bloomberg historical data
Args:
tickers: ticker(s)
flds: field(s)
start_date: start date
end_date: end date - default today
adjust: `all`, `dvd`, `nor... |
Bloomberg intraday bar data | def bdib(ticker, dt, typ='TRADE', **kwargs) -> pd.DataFrame:
"""
Bloomberg intraday bar data
Args:
ticker: ticker name
dt: date to download
typ: [TRADE, BID, ASK, BID_BEST, ASK_BEST, BEST_BID, BEST_ASK]
**kwargs:
batch: whether is batch process to download data
... |
Bloomberg intraday bar data within market session | def intraday(ticker, dt, session='', **kwargs) -> pd.DataFrame:
"""
Bloomberg intraday bar data within market session
Args:
ticker: ticker
dt: date
session: examples include
day_open_30, am_normal_30_30, day_close_30, allday_exact_0930_1000
**kwargs:
... |
Earning exposures by Geo or Products | def earning(
ticker, by='Geo', typ='Revenue', ccy=None, level=None, **kwargs
) -> pd.DataFrame:
"""
Earning exposures by Geo or Products
Args:
ticker: ticker name
by: [G(eo), P(roduct)]
typ: type of earning, start with `PG_` in Bloomberg FLDS - default `Revenue`
ccy:... |
Bloomberg dividend/ split history | def dividend(
tickers, typ='all', start_date=None, end_date=None, **kwargs
) -> pd.DataFrame:
"""
Bloomberg dividend / split history
Args:
tickers: list of tickers
typ: dividend adjustment type
`all`: `DVD_Hist_All`
`dvd`: `DVD_Hist`
`... |
Active futures contract | def active_futures(ticker: str, dt) -> str:
"""
Active futures contract
Args:
ticker: futures ticker, i.e., ESA Index, Z A Index, CLA Comdty, etc.
dt: date
Returns:
str: ticker name
"""
t_info = ticker.split()
prefix, asset = ' '.join(t_info[:-1]), t_info[-1]
in... |
Get proper ticker from generic ticker | def fut_ticker(gen_ticker: str, dt, freq: str, log=logs.LOG_LEVEL) -> str:
"""
Get proper ticker from generic ticker
Args:
gen_ticker: generic ticker
dt: date
freq: futures contract frequency
log: level of logs
Returns:
str: exact futures ticker
"""
logg... |
Check exchange hours vs local hours | def check_hours(tickers, tz_exch, tz_loc=DEFAULT_TZ) -> pd.DataFrame:
"""
Check exchange hours vs local hours
Args:
tickers: list of tickers
tz_exch: exchange timezone
tz_loc: local timezone
Returns:
Local and exchange hours
"""
cols = ['Trading_Day_Start_Time_E... |
Data file location for Bloomberg historical data | def hist_file(ticker: str, dt, typ='TRADE') -> str:
"""
Data file location for Bloomberg historical data
Args:
ticker: ticker name
dt: date
typ: [TRADE, BID, ASK, BID_BEST, ASK_BEST, BEST_BID, BEST_ASK]
Returns:
file location
Examples:
>>> os.environ['BBG_R... |
Data file location for Bloomberg reference data | def ref_file(
ticker: str, fld: str, has_date=False, cache=False, ext='parq', **kwargs
) -> str:
"""
Data file location for Bloomberg reference data
Args:
ticker: ticker name
fld: field
has_date: whether add current date to data file
cache: if has_date is True, wheth... |
Check whether data is done for the day and save | def save_intraday(data: pd.DataFrame, ticker: str, dt, typ='TRADE'):
"""
Check whether data is done for the day and save
Args:
data: data
ticker: ticker
dt: date
typ: [TRADE, BID, ASK, BID_BEST, ASK_BEST, BEST_BID, BEST_ASK]
Examples:
>>> os.environ['BBG_ROOT'] ... |
Exchange info for given ticker | def exch_info(ticker: str) -> pd.Series:
"""
Exchange info for given ticker
Args:
ticker: ticker or exchange
Returns:
pd.Series
Examples:
>>> exch_info('SPY US Equity')
tz America/New_York
allday [04:00, 20:00]
day [09:30, 16:00]... |
Get info for given market | def market_info(ticker: str) -> dict:
"""
Get info for given market
Args:
ticker: Bloomberg full ticker
Returns:
dict
Examples:
>>> info = market_info('SHCOMP Index')
>>> info['exch']
'EquityChina'
>>> info = market_info('ICICIC=1 IS Equity')
... |
Currency pair info | def ccy_pair(local, base='USD') -> CurrencyPair:
"""
Currency pair info
Args:
local: local currency
base: base currency
Returns:
CurrencyPair
Examples:
>>> ccy_pair(local='HKD', base='USD')
CurrencyPair(ticker='HKD Curncy', factor=1.0, power=1)
>>> ... |
Market close time for ticker | def market_timing(ticker, dt, timing='EOD', tz='local') -> str:
"""
Market close time for ticker
Args:
ticker: ticker name
dt: date
timing: [EOD (default), BOD]
tz: conversion to timezone
Returns:
str: date & time
Examples:
>>> market_timing('7267 J... |
Flatten any array of items to list | def flatten(iterable, maps=None, unique=False) -> list:
"""
Flatten any array of items to list
Args:
iterable: any array or value
maps: map items to values
unique: drop duplicates
Returns:
list: flattened list
References:
https://stackoverflow.com/a/4085770... |
Recursively iterate lists and tuples | def _to_gen_(iterable):
"""
Recursively iterate lists and tuples
"""
from collections import Iterable
for elm in iterable:
if isinstance(elm, Iterable) and not isinstance(elm, (str, bytes)):
yield from flatten(elm)
else: yield elm |
Current time | def cur_time(typ='date', tz=DEFAULT_TZ) -> (datetime.date, str):
"""
Current time
Args:
typ: one of ['date', 'time', 'time_path', 'raw', '']
tz: timezone
Returns:
relevant current time or date
Examples:
>>> cur_dt = pd.Timestamp('now')
>>> cur_time(typ='dat... |
Convert dict to string | def to_str(
data: dict, fmt='{key}={value}', sep=', ', public_only=True
) -> str:
"""
Convert dict to string
Args:
data: dict
fmt: how key and value being represented
sep: how pairs of key and value are seperated
public_only: if display public members only
Retur... |
Load module from full path Args: full_path: module full path name Returns: python module References: https:// stackoverflow. com/ a/ 67692/ 1332656 Examples: >>> import os >>> >>> cur_file = os. path. abspath ( __file__ ). replace ( \\\\/ ) >>> cur_path =/. join ( cur_file. split (/ ) [: - 1 ] ) >>> load_module ( f { c... | def load_module(full_path):
"""
Load module from full path
Args:
full_path: module full path name
Returns:
python module
References:
https://stackoverflow.com/a/67692/1332656
Examples:
>>> import os
>>>
>>> cur_file = os.path.abspath(__file__).repl... |
Load parameters for assets | def load_info(cat):
"""
Load parameters for assets
Args:
cat: category
Returns:
dict
Examples:
>>> import pandas as pd
>>>
>>> assets = load_info(cat='assets')
>>> all(cat in assets for cat in ['Equity', 'Index', 'Curncy', 'Corp'])
True
... |
Load assets infomation from file | def _load_yaml_(file_name):
"""
Load assets infomation from file
Args:
file_name: file name
Returns:
dict
"""
if not os.path.exists(file_name): return dict()
with open(file_name, 'r', encoding='utf-8') as fp:
return YAML().load(stream=fp) |
Convert YAML input to hours | def to_hour(num) -> str:
"""
Convert YAML input to hours
Args:
num: number in YMAL file, e.g., 900, 1700, etc.
Returns:
str
Examples:
>>> to_hour(900)
'09:00'
>>> to_hour(1700)
'17:00'
"""
to_str = str(int(num))
return pd.Timestamp(f'{to... |
Absolute path | def abspath(cur_file, parent=0) -> str:
"""
Absolute path
Args:
cur_file: __file__ or file or path str
parent: level of parent to look for
Returns:
str
"""
file_path = os.path.abspath(cur_file).replace('\\', '/')
if os.path.isdir(file_path) and parent == 0: return f... |
Make folder as well as all parent folders if not exists | def create_folder(path_name: str, is_file=False):
"""
Make folder as well as all parent folders if not exists
Args:
path_name: full path name
is_file: whether input is name of file
"""
path_sep = path_name.replace('\\', '/').split('/')
for i in range(1, len(path_sep) + (0 if is_... |
Search all files with criteria Returned list will be sorted by last modified | def all_files(
path_name, keyword='', ext='', full_path=True,
has_date=False, date_fmt=DATE_FMT
) -> list:
"""
Search all files with criteria
Returned list will be sorted by last modified
Args:
path_name: full path name
keyword: keyword to search
ext: file extens... |
Search all folders with criteria Returned list will be sorted by last modified | def all_folders(
path_name, keyword='', has_date=False, date_fmt=DATE_FMT
) -> list:
"""
Search all folders with criteria
Returned list will be sorted by last modified
Args:
path_name: full path name
keyword: keyword to search
has_date: whether has date in file name (def... |
Sort files or folders by modified time | def sort_by_modified(files_or_folders: list) -> list:
"""
Sort files or folders by modified time
Args:
files_or_folders: list of files or folders
Returns:
list
"""
return sorted(files_or_folders, key=os.path.getmtime, reverse=True) |
Filter files or dates by date patterns | def filter_by_dates(files_or_folders: list, date_fmt=DATE_FMT) -> list:
"""
Filter files or dates by date patterns
Args:
files_or_folders: list of files or folders
date_fmt: date format
Returns:
list
"""
r = re.compile(f'.*{date_fmt}.*')
return list(filter(
... |
File modified time in python | def file_modified_time(file_name) -> pd.Timestamp:
"""
File modified time in python
Args:
file_name: file name
Returns:
pd.Timestamp
"""
return pd.to_datetime(time.ctime(os.path.getmtime(filename=file_name))) |
Get interval from defined session | def get_interval(ticker, session) -> Session:
"""
Get interval from defined session
Args:
ticker: ticker
session: session
Returns:
Session of start_time and end_time
Examples:
>>> get_interval('005490 KS Equity', 'day_open_30')
Session(start_time='09:00', e... |
Shift start time by mins | def shift_time(start_time, mins) -> str:
"""
Shift start time by mins
Args:
start_time: start time in terms of HH:MM string
mins: number of minutes (+ / -)
Returns:
end time in terms of HH:MM string
"""
s_time = pd.Timestamp(start_time)
e_time = s_time + np.sign(min... |
Time intervals for market open | def market_open(self, session, mins) -> Session:
"""
Time intervals for market open
Args:
session: [allday, day, am, pm, night]
mins: mintues after open
Returns:
Session of start_time and end_time
"""
if session not in self.exch: retu... |
Time intervals for market close | def market_close(self, session, mins) -> Session:
"""
Time intervals for market close
Args:
session: [allday, day, am, pm, night]
mins: mintues before close
Returns:
Session of start_time and end_time
"""
if session not in self.exch: ... |
Time intervals between market | def market_normal(self, session, after_open, before_close) -> Session:
"""
Time intervals between market
Args:
session: [allday, day, am, pm, night]
after_open: mins after open
before_close: mins before close
Returns:
Session of start_tim... |
Explicitly specify start time and end time | def market_exact(self, session, start_time: str, end_time: str) -> Session:
"""
Explicitly specify start time and end time
Args:
session: predefined session
start_time: start time in terms of HHMM string
end_time: end time in terms of HHMM string
Ret... |
Convert tz from ticker/ shorthands to timezone | def get_tz(tz) -> str:
"""
Convert tz from ticker / shorthands to timezone
Args:
tz: ticker or timezone shorthands
Returns:
str: Python timzone
Examples:
>>> get_tz('NY')
'America/New_York'
>>> get_tz(TimeZone.NY)
'America/New_York'
>>> get_... |
Convert to tz | def tz_convert(dt, to_tz, from_tz=None) -> str:
"""
Convert to tz
Args:
dt: date time
to_tz: to tz
from_tz: from tz - will be ignored if tz from dt is given
Returns:
str: date & time
Examples:
>>> dt_1 = pd.Timestamp('2018-09-10 16:00', tz='Asia/Hong_Kong')... |
Full infomation for missing query | def missing_info(**kwargs) -> str:
"""
Full infomation for missing query
"""
func = kwargs.pop('func', 'unknown')
if 'ticker' in kwargs: kwargs['ticker'] = kwargs['ticker'].replace('/', '_')
info = utils.to_str(kwargs, fmt='{value}', sep='/')[1:-1]
return f'{func}/{info}' |
Check number of trials for missing values | def current_missing(**kwargs) -> int:
"""
Check number of trials for missing values
Returns:
int: number of trials already tried
"""
data_path = os.environ.get(BBG_ROOT, '').replace('\\', '/')
if not data_path: return 0
return len(files.all_files(f'{data_path}/Logs/{missing_info(**k... |
Update number of trials for missing values | def update_missing(**kwargs):
"""
Update number of trials for missing values
"""
data_path = os.environ.get(BBG_ROOT, '').replace('\\', '/')
if not data_path: return
if len(kwargs) == 0: return
log_path = f'{data_path}/Logs/{missing_info(**kwargs)}'
cnt = len(files.all_files(log_path))... |
Decorator for public views that do not require authentication Sets an attribute in the fuction STRONGHOLD_IS_PUBLIC to True | def public(function):
"""
Decorator for public views that do not require authentication
Sets an attribute in the fuction STRONGHOLD_IS_PUBLIC to True
"""
orig_func = function
while isinstance(orig_func, partial):
orig_func = orig_func.func
set_view_func_public(orig_func)
return ... |
Utility for sending a predefined request and printing response as well as storing messages in a list useful for testing | def custom_req(session, request):
"""
Utility for sending a predefined request and printing response as well
as storing messages in a list, useful for testing
Parameters
----------
session: blpapi.session.Session
request: blpapi.request.Request
Request to be sent
Returns
--... |
Translate a string representation of a Bloomberg Open API Request/ Response into a list of dictionaries. return | def to_dict_list(mystr):
"""
Translate a string representation of a Bloomberg Open API Request/Response
into a list of dictionaries.return
Parameters
----------
mystr: str
A string representation of one or more blpapi.request.Request or
blp.message.Message, these should be '\\n'... |
Open and manage a BCon wrapper to a Bloomberg API session | def bopen(**kwargs):
"""
Open and manage a BCon wrapper to a Bloomberg API session
Parameters
----------
**kwargs:
Keyword arguments passed into pdblp.BCon initialization
"""
con = BCon(**kwargs)
con.start()
try:
yield con
finally:
con.stop() |
Start connection and initialize session services | def start(self):
"""
Start connection and initialize session services
"""
# flush event queue in defensive way
logger = _get_logger(self.debug)
started = self._session.start()
if started:
ev = self._session.nextEvent()
ev_name = _EVENT_DIC... |
Initialize blpapi. Session services | def _init_services(self):
"""
Initialize blpapi.Session services
"""
logger = _get_logger(self.debug)
# flush event queue in defensive way
opened = self._session.openService('//blp/refdata')
ev = self._session.nextEvent()
ev_name = _EVENT_DICT[ev.eventTyp... |
Get tickers and fields return pandas DataFrame with columns as MultiIndex with levels ticker and field and indexed by date. If long data is requested return DataFrame with columns [ date ticker field value ]. | def bdh(self, tickers, flds, start_date, end_date, elms=None,
ovrds=None, longdata=False):
"""
Get tickers and fields, return pandas DataFrame with columns as
MultiIndex with levels "ticker" and "field" and indexed by "date".
If long data is requested return DataFrame with co... |
Make a reference data request get tickers and fields return long pandas DataFrame with columns [ ticker field value ] | def ref(self, tickers, flds, ovrds=None):
"""
Make a reference data request, get tickers and fields, return long
pandas DataFrame with columns [ticker, field, value]
Parameters
----------
tickers: {list, string}
String or list of strings corresponding to tick... |
Make iterative calls to bulkref () and create a long DataFrame with columns [ date ticker field name value position ] where each date corresponds to overriding a historical data override field. | def bulkref_hist(self, tickers, flds, dates, ovrds=None,
date_field='REFERENCE_DATE'):
"""
Make iterative calls to bulkref() and create a long DataFrame with
columns [date, ticker, field, name, value, position] where each date
corresponds to overriding a historical d... |
Get Open High Low Close Volume and numEvents for a ticker. Return pandas DataFrame | def bdib(self, ticker, start_datetime, end_datetime, event_type, interval,
elms=None):
"""
Get Open, High, Low, Close, Volume, and numEvents for a ticker.
Return pandas DataFrame
Parameters
----------
ticker: string
String corresponding to ticker... |
This function uses the Bloomberg API to retrieve bsrch ( Bloomberg SRCH Data ) queries. Returns list of tickers. | def bsrch(self, domain):
"""
This function uses the Bloomberg API to retrieve 'bsrch' (Bloomberg
SRCH Data) queries. Returns list of tickers.
Parameters
----------
domain: string
A character string with the name of the domain to execute.
It can be... |
Assemble one EVM instruction from its textual representation. | def assemble_one(asmcode, pc=0, fork=DEFAULT_FORK):
""" Assemble one EVM instruction from its textual representation.
:param asmcode: assembly code for one instruction
:type asmcode: str
:param pc: program counter of the instruction(optional)
:type pc: int
:param fork: fork ... |
Assemble a sequence of textual representation of EVM instructions | def assemble_all(asmcode, pc=0, fork=DEFAULT_FORK):
""" Assemble a sequence of textual representation of EVM instructions
:param asmcode: assembly code for any number of instructions
:type asmcode: str
:param pc: program counter of the first instruction(optional)
:type pc: int
... |
Disassemble a single instruction from a bytecode | def disassemble_one(bytecode, pc=0, fork=DEFAULT_FORK):
""" Disassemble a single instruction from a bytecode
:param bytecode: the bytecode stream
:type bytecode: str | bytes | bytearray | iterator
:param pc: program counter of the instruction(optional)
:type pc: int
:param f... |
Disassemble all instructions in bytecode | def disassemble_all(bytecode, pc=0, fork=DEFAULT_FORK):
""" Disassemble all instructions in bytecode
:param bytecode: an evm bytecode (binary)
:type bytecode: str | bytes | bytearray | iterator
:param pc: program counter of the first instruction(optional)
:type pc: int
:para... |
Disassemble an EVM bytecode | def disassemble(bytecode, pc=0, fork=DEFAULT_FORK):
""" Disassemble an EVM bytecode
:param bytecode: binary representation of an evm bytecode
:type bytecode: str | bytes | bytearray
:param pc: program counter of the first instruction(optional)
:type pc: int
:param fork: fork... |
Assemble an EVM program | def assemble(asmcode, pc=0, fork=DEFAULT_FORK):
""" Assemble an EVM program
:param asmcode: an evm assembler program
:type asmcode: str
:param pc: program counter of the first instruction(optional)
:type pc: int
:param fork: fork name (optional)
:type fork: str
... |
Disassemble an EVM bytecode | def disassemble_hex(bytecode, pc=0, fork=DEFAULT_FORK):
""" Disassemble an EVM bytecode
:param bytecode: canonical representation of an evm bytecode (hexadecimal)
:type bytecode: str
:param pc: program counter of the first instruction(optional)
:type pc: int
:param fork: for... |
Assemble an EVM program | def assemble_hex(asmcode, pc=0, fork=DEFAULT_FORK):
""" Assemble an EVM program
:param asmcode: an evm assembler program
:type asmcode: str | iterator[Instruction]
:param pc: program counter of the first instruction(optional)
:type pc: int
:param fork: fork name (optional)
... |
Convert block number to fork name. | def block_to_fork(block_number):
""" Convert block number to fork name.
:param block_number: block number
:type block_number: int
:return: fork name
:rtype: str
Example use::
>>> block_to_fork(0)
...
"frontier"
>>> block_to_f... |
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