How to use cache_clear method in tempest
Best Python code snippet using tempest_python
oanda.py
Source:oanda.py 
...250 return self._instruments251 @instruments.setter252 def instruments(self, value):253 self._instruments = value254 type(self).price_data.fget.cache_clear()255 type(self).open.fget.cache_clear()256 type(self).high.fget.cache_clear()257 type(self).low.fget.cache_clear()258 type(self).close.fget.cache_clear()259 type(self).volume.fget.cache_clear()260 type(self).returns.fget.cache_clear()261 type(self).factor_data.fget.cache_clear()262 type(self).combined_factor.fget.cache_clear()263 type(self).combined_factor_data.fget.cache_clear()264 type(self).summaries.fget.cache_clear()265 @property266 def symbol(self) -> Optional[str]:267 """Optional symbol to arrange price data."""268 return self._symbol269 @symbol.setter270 def symbol(self, value):271 self._symbol = value272 type(self).price_data.fget.cache_clear()273 type(self).open.fget.cache_clear()274 type(self).high.fget.cache_clear()275 type(self).low.fget.cache_clear()276 type(self).close.fget.cache_clear()277 type(self).volume.fget.cache_clear()278 type(self).returns.fget.cache_clear()279 type(self).factor_data.fget.cache_clear()280 type(self).combined_factor.fget.cache_clear()281 type(self).combined_factor_data.fget.cache_clear()282 type(self).summaries.fget.cache_clear()283 @property284 def granularity(self) -> str:285 """Time period between each candle and between each rebalance."""286 return self._granularity287 @granularity.setter288 def granularity(self, value):289 self._granularity = value290 type(self).price_data.fget.cache_clear()291 type(self).open.fget.cache_clear()292 type(self).high.fget.cache_clear()293 type(self).low.fget.cache_clear()294 type(self).close.fget.cache_clear()295 type(self).volume.fget.cache_clear()296 type(self).returns.fget.cache_clear()297 type(self).factor_data.fget.cache_clear()298 type(self).combined_factor.fget.cache_clear()299 type(self).combined_factor_data.fget.cache_clear()300 type(self).summaries.fget.cache_clear()301 @property302 def count(self) -> int:303 """Number of historical OHLCV candles."""304 return self._count305 @count.setter306 def count(self, value):307 self._count = value308 type(self).price_data.fget.cache_clear()309 type(self).open.fget.cache_clear()310 type(self).high.fget.cache_clear()311 type(self).low.fget.cache_clear()312 type(self).close.fget.cache_clear()313 type(self).volume.fget.cache_clear()314 type(self).returns.fget.cache_clear()315 type(self).factor_data.fget.cache_clear()316 type(self).combined_factor.fget.cache_clear()317 type(self).combined_factor_data.fget.cache_clear()318 type(self).summaries.fget.cache_clear()319 @property320 def periods(self) -> Optional[List[int]]:321 """Optional forward periods for factor decay analysis."""322 return self._periods323 @periods.setter324 def periods(self, value):325 self._periods = value326 type(self).factor_data.fget.cache_clear()327 type(self).combined_factor.fget.cache_clear()328 type(self).combined_factor_data.fget.cache_clear()329 type(self).summaries.fget.cache_clear()330 @property331 def split(self) -> Union[int, Sequence[float]]:332 """Number of quantiles to split combined factor data."""333 return self._split334 @split.setter335 def split(self, value):336 self._split = value337 type(self).combined_factor_data.fget.cache_clear()338 @property339 def long_short(self) -> bool:340 """True if trade only top and bottom factor quantile, False if all."""341 return self._long_short342 @long_short.setter343 def long_short(self, value):344 self._long_short = value345 type(self).factor_data.fget.cache_clear()346 type(self).combined_factor.fget.cache_clear()347 type(self).combined_factor_data.fget.cache_clear()348 type(self).summaries.fget.cache_clear()349 @property350 def combination(self) -> str:351 """Formula for combining factors together."""352 return self._combination353 @combination.setter354 def combination(self, value):355 self._combination = value356 type(self).combined_factor.fget.cache_clear()357 type(self).combined_factor_data.fget.cache_clear()358 type(self).summaries.fget.cache_clear()359 @property360 def leverage(self) -> float:361 """Multiplier for the portfolio positions."""362 return self._leverage363 @leverage.setter364 def leverage(self, value):365 self._leverage = value366 type(self).factor_data.fget.cache_clear()367 type(self).combined_factor.fget.cache_clear()368 type(self).combined_factor_data.fget.cache_clear()369 type(self).summaries.fget.cache_clear()370 @property371 @lru_cache()372 def price_data(self) -> pd.DataFrame:373 """Historical OHLCV candles data."""374 return get_price_data(375 instruments=self.instruments,376 granularity=self.granularity,377 count=self.count,378 symbol=self.symbol,379 )380 @property381 @lru_cache()382 def open(self) -> pd.DataFrame:383 """Opening price data."""384 return self.price_data.xs("open", axis=1, level=1)385 @property386 @lru_cache()387 def high(self) -> pd.DataFrame:388 """High price data."""389 return self.price_data.xs("high", axis=1, level=1)390 @property391 @lru_cache()392 def low(self) -> pd.DataFrame:393 """Low price data."""394 return self.price_data.xs("low", axis=1, level=1)395 @property396 @lru_cache()397 def close(self) -> pd.DataFrame:398 """Closing price data."""399 return self.price_data.xs("close", axis=1, level=1)400 @property401 @lru_cache()402 def volume(self) -> pd.DataFrame:403 """Tick volume data."""404 return self.price_data.xs("volume", axis=1, level=1)405 @property406 @lru_cache()407 def returns(self) -> pd.DataFrame:408 """Percentage change in the closing price data."""409 return self.close.pct_change()[1:]410 @property411 @lru_cache()412 def factor_data(self) -> Dict[str, pd.DataFrame]:413 """Individual factor values, quantiles, weights and returns."""414 factor_data = {}415 prefix = "Preparing factor data:"416 start_time = time.time()417 for i, (name, function) in enumerate(self.factors.items()):418 print_progress(i, len(self.factors), prefix, f"`{name}`")419 try:420 factor, s = function(self)421 except ValueError:422 factor, s = function(self), 3423 except TypeError:424 raise TypeError(f"`{name}` must return atleast factor.")425 factor_data[name] = get_factor_data(426 factor=factor,427 price_data=self.price_data,428 periods=self.periods,429 split=s,430 long_short=self.long_short,431 leverage=self.leverage,432 name=name,433 )434 suffix = f"in {time.time() - start_time:.1f} s"435 print_progress(len(self.factors), len(self.factors), prefix, suffix)436 return factor_data437 @property438 @lru_cache()439 def combined_factor(self) -> pd.DataFrame:440 """Single factor obtained by combination."""441 return combine_factors(self.factor_data, self.combination)442 @combined_factor.setter443 def combined_factor(self, value):444 self._combined_factor = value445 type(self).combined_factor_data.fget.cache_clear()446 @property447 @lru_cache()448 def combined_factor_data(self) -> pd.DataFrame:449 """Combined factor values, quantiles, weights and returns."""450 return get_factor_data(451 factor=self.combined_factor,452 price_data=self.price_data,453 periods=self.periods,454 split=self.split,455 long_short=self.long_short,456 leverage=self.leverage,457 name=f"{self.__class__.__name__}_combined",458 )459 @property460 @lru_cache()461 def summaries(self) -> List[pd.Series]:462 """Past performance summaries of individual factors."""463 summaries = []464 prefix = "Preparing performance:"465 start_time = time.time()466 for i, factor in enumerate(self.factor_data):467 print_progress(i, len(self.factor_data), prefix, f"`{factor}`")468 summaries.append(self.performance(factor, False))469 suffix = f"in {time.time() - start_time:.1f} s"470 print_progress(len(self.factor_data), len(self.factor_data), prefix, suffix)471 return summaries472 def __repr__(self):473 return f"{__class__.__name__}.{self.__class__.__name__}" f"{list(self.factors)}"474 def __len__(self):475 return len(self.factors)476 def __getitem__(self, name: str):477 return self.factors[name]478 def __setitem__(self, name: str, function: Factor):479 self.factors[name] = function480 type(self).factor_data.fget.cache_clear()481 type(self).combined_factor.fget.cache_clear()482 type(self).combined_factor_data.fget.cache_clear()483 type(self).summaries.fget.cache_clear()484 def __delitem__(self, name: str):485 del self.factors[name]486 type(self).factor_data.fget.cache_clear()487 type(self).combined_factor.fget.cache_clear()488 type(self).combined_factor_data.fget.cache_clear()489 type(self).summaries.fget.cache_clear()490 def __iter__(self):491 return iter(self.factors.items())492 def performance(493 self, factor: Optional[str] = None, output: bool = True494 ) -> pd.Series:495 """Return and show past performance summary."""496 if factor:497 log, summary = get_performance(self.factor_data[factor], output)498 if output:499 self.logger.info(log)500 return summary501 log, summary = get_performance(self.combined_factor_data, output)502 if output:503 self.logger.info(log)504 return summary505 def select(506 self,507 rules: str,508 swap_to: Optional[str] = None,509 inplace: bool = False,510 ) -> None:511 """Select factors that meet the given rules and optionally swap signs.512 Available metrics:513 - ic: Information Coefficient based on Spearman Rank Correlation514 - autocorr: Factor Rank Autocorrelation515 - sharpe: Annualized Sharpe Ratio516 - beta: Annualized Beta as exposure to trading universe517 - alpha: Annualized Alpha as excess returns over trading universe518 - win: Win Rate519 - rr: Risk / Reward Ratio520 - profit: Profit Factor = (sum of earnings) / (sum of losses)521 - cagr: Compound Annual Growth Rate522 """523 select = pd.concat(self.summaries, axis=1).T.query(rules)524 signs = pd.Series(1, select.index) if not swap_to else select[swap_to]525 signs[signs > 0], signs[signs < 0] = 1, -1526 if signs.empty:527 self.logger.error(f"No factor satisfies the rules `{rules}`.")528 else:529 self.logger.info(530 f"Factors with signs that meet the rules `{rules}`:\n"531 f"\n"532 f"{signs.to_string()}\n"533 )534 if inplace:535 factors = {}536 for name, sign in signs.items():537 if sign == 1:538 factors[name] = self.factors[name]539 elif sign == -1:540 factors["-" + name] = swap_sign(self.factors[name])541 self.factors = factors542 type(self).factor_data.fget.cache_clear()543 type(self).combined_factor.fget.cache_clear()544 type(self).combined_factor_data.fget.cache_clear()545 type(self).summaries.fget.cache_clear()546 def rebalance(547 self,548 accountID: str = os.getenv("OANDA_ACCOUNT_ID"),549 live: bool = False,550 keep_current_trades: bool = False,551 ) -> None:552 """Generate and place orders to rebalance portfolio."""553 weights = self.combined_factor_data["weights"]554 positions = weights.loc[weights.index.get_level_values("date")[-1]]555 positions.sort_values(inplace=True)556 hostname, headers = _get_hostname_headers()557 endpoint = f"/v3/accounts/{accountID}"558 url = hostname + endpoint559 req = ur.Request(url, headers=headers)...
__init__.py
Source:__init__.py
...108@before_request109def update(info=None):110 if 'photo' in request.form:111 process_image(request.form['photo'][22:], info['uid'])112 get_image.cache_clear()113 ldap_update_profile(request.json, info['uid'])114 return jsonify({"success": True}), 200115@app.route('/upload', methods=['POST'])116@auth.oidc_auth117@before_request118def upload(info=None):119 if 'photo' in request.form:120 process_image(request.form['photo'][22:], info['uid'])121 get_image.cache_clear()122 return redirect('/', 302)123@app.route("/logout")124@auth.oidc_logout125def logout():126 return redirect("/", 302)127@app.route("/image/<uid>", methods=["GET"])128def image(uid):129 return get_image(uid)130@app.route('/clearcache')131@auth.oidc_auth132@before_request133def clear_cache(info=None):134 if not ldap_is_rtp(info['user_obj']):135 return redirect("/")136 ldap_get_active_members.cache_clear()137 ldap_get_intro_members.cache_clear()138 ldap_get_onfloor_members.cache_clear()139 ldap_get_current_students.cache_clear()140 ldap_get_all_members.cache_clear()141 ldap_get_groups.cache_clear()142 ldap_get_group_desc.cache_clear()143 ldap_get_eboard.cache_clear()144 ldap_search_members.cache_clear()145 ldap_get_year.cache_clear()146 get_image.cache_clear()147 get_gravatar.cache_clear()148 proxy_image.cache_clear()149 flash('Cache cleared!')150 return redirect(request.referrer, 302)151@app.errorhandler(404)152@app.errorhandler(500)153def handle_internal_error(e):154 if isinstance(e.original_exception, BadQueryError):155 return render_template("404.html", message=e.original_exception), 404156 raise e.original_exception157@app.route('/api/v1/healthcheck', methods=["GET"])158def health_check():159 # Return codes160 # 200 - Success161 # 512 - LDAP failure162 return_code = 200...
ldap.py
Source:ldap.py
...74def ldap_is_current_student(account):75 return _ldap_is_member_of_group(account, 'current_student')76def ldap_set_housingpoints(account, housing_points):77 account.housingPoints = housing_points78 ldap_get_current_students.cache_clear()79 ldap_get_member.cache_clear()80def ldap_set_roomnumber(account, room_number):81 if room_number == "":82 room_number = None83 account.roomNumber = room_number84 ldap_get_current_students.cache_clear()85 ldap_get_member.cache_clear()86def ldap_set_active(account):87 _ldap_add_member_to_group(account, 'active')88 ldap_get_active_members.cache_clear()89 ldap_get_member.cache_clear()90def ldap_set_inactive(account):91 _ldap_remove_member_from_group(account, 'active')92 ldap_get_active_members.cache_clear()93 ldap_get_member.cache_clear()94def ldap_set_intro_member(account):95 _ldap_add_member_to_group(account, 'intromembers')96 ldap_get_intro_members().cache_clear()97 ldap_get_member.cache_clear()98def ldap_set_not_intro_member(account):99 _ldap_remove_member_from_group(account, 'intromembers')100 ldap_get_intro_members().cache_clear()101 ldap_get_member.cache_clear()102def ldap_set_current_student(account):103 _ldap_add_member_to_group(account, 'current_student')104 ldap_get_current_students.cache_clear()105 ldap_get_member.cache_clear()106def ldap_set_non_current_student(account):107 _ldap_remove_member_from_group(account, 'current_student')108 ldap_get_current_students.cache_clear()109 ldap_get_member.cache_clear()110def ldap_set_failed(account):111 _ldap_add_member_to_group(account, 'failed')112 ldap_get_member.cache_clear()113def ldap_set_bad_standing(account):114 _ldap_add_member_to_group(account, 'bad_standing')115 ldap_get_member.cache_clear()116def ldap_set_onfloor(account):117 _ldap_add_member_to_group(account, 'onfloor')118 ldap_get_onfloor_members.cache_clear()...
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