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89 changes: 89 additions & 0 deletions
89
plugins/pdr_deterministic_plugin/ufm_sim_web_service/data_store.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,89 @@ | ||
| from os.path import join,exists | ||
| from os import remove,makedirs | ||
| from pathlib import Path | ||
| from datetime import datetime | ||
| import pandas as pd | ||
|
|
||
| class DataStore: | ||
| """ | ||
| arrange the data store of the telemetries that we save, abs or delta. remove old data when want. | ||
| """ | ||
| OUTPUT_FILE_FORMAT = "%Y_%m_%d_%H_%M_%S.csv" | ||
| AMOUNT_FILES_TO_KEEP = 10 | ||
| BASE_PATH = "/opt/ufm/ufm_plugin_pdr_deterministic/datastore" | ||
| ABS_PATH = "abs" | ||
| DELTA_PATH = "delta" | ||
| TAR_SUFFIX = "*.csv" | ||
|
|
||
| def __init__(self,logger) -> None: | ||
| self.logger = logger | ||
| if not exists(self.BASE_PATH): | ||
| makedirs(self._folder_abs()) | ||
| makedirs(self._folder_delta()) | ||
|
|
||
| def _folder_abs(self) -> str: | ||
| return join(self.BASE_PATH,self.ABS_PATH) | ||
|
|
||
| def _folder_delta(self) -> str: | ||
| return join(self.BASE_PATH,self.DELTA_PATH) | ||
|
|
||
| def _get_filename(self) -> str: | ||
| return datetime.now().strftime(self.OUTPUT_FILE_FORMAT) | ||
|
|
||
| def get_filename_abs(self) -> str: | ||
| """ | ||
| return a filename for abs data | ||
| """ | ||
| return join(self._folder_abs(),self._get_filename()) | ||
|
|
||
| def get_filename_delta(self) -> str: | ||
| """ | ||
| return a filename for delta data | ||
| """ | ||
| return join(self._folder_delta(),self._get_filename()) | ||
|
|
||
| def _get_files_to_remove(self, data_path:str, suffix:str, to_keep:int) -> list: | ||
| """ | ||
| find the file names of the oldest which is after the amount of to_keep | ||
| search for in the data_path with the suffix. | ||
| """ | ||
| files_to_remove = [] | ||
| input_path_dir = Path(data_path) | ||
| files = list(input_path_dir.glob(suffix)) | ||
| files.sort(key=lambda p: p.name) | ||
| files = [str(p) for p in files] | ||
| if len(files) > to_keep: | ||
| files_to_remove = files[:len(files)- to_keep] | ||
| return files_to_remove | ||
|
|
||
| def clean_old_files(self) -> None: | ||
| """ | ||
| search for the both locations to clean the old files. | ||
| """ | ||
| for data_path in [self._folder_abs(),self._folder_delta()]: | ||
| files = self._get_files_to_remove(data_path,self.TAR_SUFFIX,self.AMOUNT_FILES_TO_KEEP) | ||
| if len(files) > 0: | ||
| self._remove_files(files) | ||
|
|
||
| def _remove_files(self, files: list) -> None: | ||
| """ | ||
| Delete a list of files | ||
| :param files: (List) List of files to be removed | ||
| :return: None | ||
| """ | ||
| self.logger.info(f"removing {len(files)} old files") | ||
| for file in files: | ||
| try: | ||
| if exists(file): | ||
| remove(file) | ||
| except FileNotFoundError: | ||
| pass | ||
| except OSError as exc: | ||
| self.logger.error("failed to remove file %s [%s]", file, exc) | ||
|
|
||
| def save(self, dataframe:pd.DataFrame, file_name:str) -> None: | ||
| """ | ||
| save dataframe to the file name | ||
| """ | ||
| self.logger.info(f"saving data to {file_name}") | ||
| dataframe.to_csv(file_name) |
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56 changes: 56 additions & 0 deletions
56
plugins/pdr_deterministic_plugin/ufm_sim_web_service/telemetry_collector.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,56 @@ | ||
| import urllib | ||
| import pandas as pd | ||
| from data_store import DataStore | ||
|
|
||
| class TelemetryCollector: | ||
| """ | ||
| Represent Telemetry collector which send DataFrame once telemetry is called. | ||
| Calls data store class for save the abs or delta data. | ||
| """ | ||
| BASED_COLUMNS = ["Node_GUID", "port_guid", "Port_Number"] | ||
| KEY = BASED_COLUMNS + ["timestamp","tag"] | ||
| SECONDARY_TELEMETRY_PORT = 9002 | ||
| SECONDARY_INSTANCE = "low_freq_debug" | ||
|
|
||
| def __init__(self,test_mode:bool,logger,data_store:DataStore) -> None: | ||
| self.test_mode = test_mode | ||
| self.logger = logger | ||
| self.previous_telemetry_data = None | ||
| self.data_store = data_store | ||
|
|
||
| def get_telemetry(self): | ||
| """ | ||
| get the telemetry from secondary telemetry, if it in test mode it get from the simulation | ||
| return DataFrame of the telemetry | ||
| """ | ||
| if self.test_mode: | ||
| url = "http://127.0.0.1:9090/csv/xcset/simulated_telemetry" | ||
| else: | ||
| url = f"http://127.0.0.1:{self.SECONDARY_TELEMETRY_PORT}/csv/xcset/{self.SECONDARY_INSTANCE}" | ||
| try: | ||
| self.logger.info(f"collecting telemetry from {url}.") | ||
| telemetry_data = pd.read_csv(url) | ||
| except (pd.errors.ParserError, pd.errors.EmptyDataError, urllib.error.URLError) as connection_error: | ||
| self.logger.error("failed to get telemetry data from UFM, fetched url=%s. Error: %s",url,connection_error) | ||
| telemetry_data = None | ||
| if self.previous_telemetry_data is not None and telemetry_data is not None: | ||
| delta = self._get_delta(self.previous_telemetry_data,telemetry_data) | ||
| # when we want to keep only delta | ||
| if len(delta) > 0: | ||
| self.data_store.save(delta,self.data_store.get_filename_delta()) | ||
| elif telemetry_data is not None: | ||
| # when we want to keep the abs | ||
| self.previous_telemetry_data = telemetry_data | ||
| self.data_store.save(telemetry_data,self.data_store.get_filename_abs()) | ||
| return telemetry_data | ||
|
|
||
| def _get_delta(self, first_df: pd.DataFrame, second_df:pd.DataFrame): | ||
| merged_df = pd.merge(second_df, first_df, on=self.BASED_COLUMNS, how='inner', suffixes=('', '_x')) | ||
| delta_dataframe = pd.DataFrame() | ||
| for index,col in enumerate(second_df.columns): | ||
| if col not in self.KEY and not isinstance(merged_df.iat[0,index],str): | ||
| col_x = col + "_x" | ||
| delta_dataframe[col] = merged_df[col] - merged_df[col_x] | ||
| else: | ||
| delta_dataframe[col] = second_df[col] | ||
| return delta_dataframe |
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