nrgpy is the Python package for processing NRG Data Files

Overview

NRGPy nrgpy

nrgpy is the Python package for processing NRG Data Files

It provides tools for:

  • Converting binary ".rld" and ".rwd files to text format
    • using locally installed SymphoniePRO Desktop Software and Symphonie Data Retriever
    • using NRG Cloud API (compatible with Linux!) *(SymphoniePRO only at this time)
  • Reading Symphonie text exports into Pandas dataframes
  • Reading Spidar zip/csv files into Pandas dataframes
  • Timestamp adjustment (of text files)
  • Simple quality checks on data

Installation

pip install nrgpy

Examples

RLD files

Convert a folder of RLD files to Text with SymphoniePRO Desktop Software

import nrgpy
date_filter = '2018-10' # filter on any text in the filenames
text_folder_name = 'text_outputs/'
converter = nrgpy.local_rld(rld_dir='', out_dir=text_folder_name, file_filter=date_filter)
converter.convert()

Convert a folder of RLD files to Text with NRG Cloud Convert API

import nrgpy
file_filter = "000110"
rld_directory = "rlds"
client_id = "https://cloud.nrgsystems.com/data-manager/api-setup"
client_secret = ""
converter = nrgpy.cloud_convert(
    file_filter=file_filter, 
    rld_dir=rld_directory, 
    client_id=client_id,
    client_secret=client_secret,
    start_date="2019-11-01",
    end_date="2019-11-30",
)
converter.process()

Convert a single RLD file to Text with NRG Cloud API

import nrgpy
filename = "path/to/rld"
txt_dir = "path/to/txt/"
client_id = "https://cloud.nrgsystems.com/data-manager/api-setup"
client_secret = ""
converter = nrgpy.cloud_convert(
    filename=filename, 
    client_id=client_id,
    client_secret=client_secret,
)

Read files

file_filter = "000110"
import nrgpy

reader = nrgpy.sympro_txt_read()
reader.concat_txt(
    txt_dir=text_folder_name, 
    file_filter=file_filter, 
    start_date="2019-11-01",
    end_date="2019-11-30",
)

RWD files

Convert a folder of RWD files to Text with Symphonie Data Retriever

import nrgpy

file_filter = '0434201902' # for Feb 2019 files from site 0434
rwd_directory = 'C:/Users/[user]/rwd/'
out_directory = 'C:/Users/[user]/txt/'

converter = nrgpy.local_rwd(file_filter=file_filter, rwd_dir=rwd_directory, out_dir=out_directory)
converter.convert()

Convert a folder of RWD files to Text with Symphonie Data Retriever on Linux

import nrgpy

rwd_directory = '/home/user/datafiles/rwd'
out_directory = '/home/user/datafiles/txt'
wine_directory = '/home/user/prefix32/drive_c/' # path to wine's "C:\" drive


converter = nrgpy.local_rwd(
                file_filter=file_filter, 
                rwd_dir=rwd_directory, 
                out_dir=out_directory,
                wine_folder=wine_directory,
                use_site_file=False # set to True to use site files
            )
converter.convert()

You can also convert a single file with SDR, and save it in the same directory:

import nrgpy

filename = '/path/to/file'
converter = nrgpy.local_rwd(filename=filename)

Read TXT files exported from RWD files

import nrgpy

dt = 'rwd'
txt_file = '/path/to/file.txt'
reader = nrgpy.read_text_data(data_type=dt, filename=txt_file)

or concatenate a whole lot of files:

dt = 'rwd'
txt_dir = '/path/to/text/files'
file_filter = 'text_in_filenames_you_want'
reader = nrgpy.read_text_data(data_type=dt, txt_dir=txt_dir, file_filter=file_filter)
reader.concat()

Spidar files

Spidar Vertical Profiler remote sensors generate archived csv data files.

CSV archived in a Zip format.

These can be read directly into the spidar_txt_read method. See the docstring in spidar_txt.py for more information.

Eg.

In [1]: import nrgpy

In [2]: fname = "/spidar/1922AG7777_CAG70-SPPP-LPPP_NRG1_AVGWND_2019-07-07_1.zip"                            

In [3]: reader = nrgpy.spidar_data_read(filename=fname)                                                                              

In [4]: reader.heights                                                                                                         
Out[4]: [40, 60, 80, 90, 100, 120, 130, 160, 180, 200]

In [5]: reader.data                                                                                                            
Out[5]: 
                     pressure[mmHg]  temperature[C]  ...  dir_200_std[Deg]  wind_measure_200_quality[%]
Timestamp                                            ...                                               
2019-07-06 23:40:00          749.66           24.13  ...             28.77                           68
2019-07-06 23:50:00          749.63           24.08  ...             14.31                            0
2019-07-07 00:00:00          749.64           23.99  ...             20.59                            0
...
Comments
  • Error while converting RWD to txt

    Error while converting RWD to txt

    SDR test OK! Time elapsed: 0 s | 1 / 1 [=============================================] 100% Traceback (most recent call last): File "C:\Users\kenneth\AppData\Local\Continuum\Anaconda3\lib\site-packages\nrgpy\convert_rwd.py", line 294, in _copy_txt_file shutil.copy(txt_file_path, out_path) File "C:\Users\kenneth\AppData\Local\Continuum\Anaconda3\lib\shutil.py", line 241, in copy copyfile(src, dst, follow_symlinks=follow_symlinks) File "C:\Users\kenneth\AppData\Local\Continuum\Anaconda3\lib\shutil.py", line 120, in copyfile with open(src, 'rb') as fsrc: FileNotFoundError: [Errno 2] No such file or directory: 'C:\NRG\ScaledData\\018720120120200.txt'

    Unable to copy 018720120120200.txt to ScaledData\

    RWDs in : 1 TXTs out : 0 LOGs out : 0

    Difference : 1

    bug 
    opened by kenneth46k 18
  • Have you tried converting .rld files using nrgpy from RStudio?

    Have you tried converting .rld files using nrgpy from RStudio?

    I'm more an R & RStudio user. I've converted files using python but I've tried to convert files using Rmarkdown with the reticulate package but I can't. I run my code

    # R
    library(reticulate)
    # R 
    use_condaenv("Anaconda3")
    # Python chunk
    import nrgpy
    text_folder_name = '/archivos/txt' 
    converter = nrgpy.local_rld(rld_dir="/Data/rld", out_dir=text_folder_name)
    converter.convert()
    

    but when I get to the converter.convert() I get the message

    Converting 1446 files from \archivos\txt Saving outputs to \Data\rld Unable to process files in directory

    To convert files python connects to SymphoniePro Desktop and I think RStudio can't get access to do it. (I'm just guessing)

    Do you think it's possible to use python and nrgpy from RStudio? Or is it impossible?

    Please some advice.

    I use: python 3.8.5 with anaconda3 R x64 4.0.3 RStudio v1.3.1093 Windows 10 Home and Pro (at work)

    opened by cajasc 6
  •  convert_rld.local() method ONLY compatible with Windows OS.Please use convert_rld.nrg_convert_api() method instead.

    convert_rld.local() method ONLY compatible with Windows OS.Please use convert_rld.nrg_convert_api() method instead.

    #!/usr/bin/env python3
    
    import argparse
    import os
    import nrgpy
    
    parser = argparse.ArgumentParser(description='Use NRG SDR software to decode anemometer data.')
    parser.add_argument('--pin', help='PIN code', required=True)
    parser.add_argument('--rld-dir', help='RLD input data directory')
    parser.add_argument('--out-dir', help='TXT output data directory')
    parser.add_argument('--file-filter')
    parser.add_argument('--tower', help='Assume rld_dir is raw and out_dir is txt.')
    args = parser.parse_args()
    
    if args.tower:
    	args.rld_dir = f'/root/raw/{args.tower}/'
    	args.out_dir = f'/root/txt/{args.tower}/'
    	if not args.file_filter:
    		args.file_filter = args.tower
    else:
    	if not args.rld_dir or not args.out_dir or not args.file_filter:
    		print('[Error]: Option --rld-dir, --out-dir, --file-filter or --tower should be provided!')
    		exit(1)
    	args.rld_dir = f'/root/{args.rld_dir}/'
    	args.out_dir = f'/root/{args.out_dir}/'
    
    if not os.path.isdir(args.rld_dir):
    	print(f'[Error]: RWD directory {args.rld_dir} does not exist!')
    	exit(1)
    
    if not os.path.isdir(args.out_dir):
    	os.makedirs(args.out_dir)
    
    wine_dir = '/root/prefix32/drive_c' # path to wine's "C:\" drive
    
    converter = nrgpy.local_rld(
    	encryption_pin=args.pin,
    	file_filter=args.file_filter,
    	rld_dir=args.rld_dir,
    	out_dir=args.out_dir,
    	sympro_path=wine_dir,
    	use_site_file=False # set to True to use site files
    )
    converter.convert()
    
    print('Done')
    

    Screen Shot 2021-08-07 at 6 27 41 PM

    opened by peterwillcn 2
  • linux bash process rwd unable to copy C:\NRG\RawData\1238\20150812019.txt to root/txt/

    linux bash process rwd unable to copy C:\NRG\RawData\1238\20150812019.txt to root/txt/

    import nrgpy
    
    file_filter = '1238201508'
    rwd_directory = '/root/raw'
    out_directory = '/root/txt'
    wine_directory = '/root/prefix32/drive_c' # path to wine's "C:\" drive
    
    
    converter = nrgpy.local_rwd(
                    file_filter=file_filter,
                    rwd_dir=rwd_directory,
                    out_dir=out_directory,
                    wine_folder=wine_directory,
                    use_site_file=False # set to True to use site files
                )
    converter.convert()
    

    Screen Shot 2021-07-18 at 11 03 30 PM

    opened by peterwillcn 2
  • Is there a way to get the sensor change date based on configuration change?

    Is there a way to get the sensor change date based on configuration change?

    I can able to convert RLD files. Now I'm trying to find the sensor change date if configuration changes. Is there any trick to find the same. I can able to view sensor details in each text file. then I need to run a loop to read each file and try to figure out the change manually.

    With concat_txt function, it overwrites the sensor configuration with the latest text file.

    Regards Kenneth

    opened by kenneth46k 2
  • Different behaviors for single files and directories

    Different behaviors for single files and directories

    For both rld_local and rwd_local, if a single file is passed as filename in the init params, it is converted to txt and saved on disk. This behavior is confusing because as a user, I haven't called local_obj.convert() yet. On the other hand, if one passes in a directory instead of a single file through the rwd_dir or rld_dir init params, this requires calling .convert() on the local object for conversion.

    opened by sushinoya 2
  • Invalid files are also processed

    Invalid files are also processed "successfully"

    If a file does not exist, the output to the screen is still the same as when a valid file is processed by nrgpy_rld.local. Example -

    nrgpy_rld.local(filename="file_that_doesnt_exist.rld", out_dir="some_dir")
    

    Will print this to the console -

    file_that_doesnt_exist.rld ... 		[DONE]
    Queue processed
    

    Ideally, invalid paths or files should be reported differently to the user

    enhancement 
    opened by sushinoya 2
  • sympro_txt.sympro_txt_read.concat_txt: file_type not implemented

    sympro_txt.sympro_txt_read.concat_txt: file_type not implemented

       243     file_type : str                                                                             
       244         type of export (meas, event, comm, sample, etc...)
    
    opened by dave-c-vt 1
  • sympro_txt.py:154 replace .append with .concat

    sympro_txt.py:154 replace .append with .concat

    nrgpy/read/sympro_txt.py:154: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead. self.ch_info = self.ch_info.append(ch_list)

    opened by dave-c-vt 1
  • Call count_files with convert_time instead of start_time

    Call count_files with convert_time instead of start_time

    After rwd files are converted in nrgpy.convert_rwd.local.convert, there are steps to count the .txt files and the .log files. The count_files call for the .txt files uses self.convert_time (a float), but the one for .log files uses self.start_time (a datetime) - which fails. I changed it without giving it a lot of scrutiny, so you shouldn't blindly accept this...

    Another warning... I've only done one pull request - and that was years ago.

    (env) PS C:\Users\todd.koym\projects2\metl> metl-convert-rwd.exe .\etc\development.ini 
    SDR test OK!
    Converting    1/30   111420200325676.RWD  ...  [DONE]
    Unable to copy 111420200325676.txt to C:\Users\todd.koym\Documents\Renewable NRG Systems\Exports\
    Converting    2/30   111420200325678.RWD  ...  [DONE]
    Converting    3/30   111420200325680.RWD  ...  [DONE]
    Unable to copy 111420200325680.txt to C:\Users\todd.koym\Documents\Renewable NRG Systems\Exports\
    Converting    4/30   111420200325682.RWD  ...  [DONE]
    Unable to copy 111420200325682.txt to C:\Users\todd.koym\Documents\Renewable NRG Systems\Exports\
    Converting    6/30   130320200411684.RWD  ...  [DONE]
    Converting    7/30   130320200412685.RWD  ...  [DONE]
    Converting    8/30   210120200411184.RWD  ...  [DONE]
    Converting    9/30   210120200412185.RWD  ...  [DONE]
    Converting   10/30   240620200412818.RWD  ...  [DONE]
    Converting   11/30   400320200411085.RWD  ...  [DONE]
    Converting   12/30   400320200412086.RWD  ...  [DONE]
    Converting   13/30   400520200411082.RWD  ...  [DONE]
    Converting   14/30   400520200412083.RWD  ...  [DONE]
    Converting   15/30   470220200412070.RWD  ...  [DONE]
    Converting   16/30   490420200412827.RWD  ...  [DONE]
    Converting   17/30   573620200412356.RWD  ...  [DONE]
    Converting   18/30   573620200413357.RWD  ...  [DONE]
    Converting   19/30   600120200411249.RWD  ...  [DONE]
    Converting   20/30   600120200412250.RWD  ...  [DONE]
    Converting   21/30   637120200412033.RWD  ...  [DONE]
    Converting   22/30   637120200413034.RWD  ...  [DONE]
    Converting   23/30   850320200412030.RWD  ...  [DONE]
    Converting   24/30   850320200413031.RWD  ...  [DONE]
    Converting   25/30   905320200412304.RWD  ...  [DONE]
    Converting   26/30   905320200413305.RWD  ...  [DONE]
    Converting   27/30   981220200412829.RWD  ...  [DONE]
    Converting   28/30   990120200412795.RWD  ...  [DONE]
    Converting   29/30   990120200413796.RWD  ...  [DONE]
    Unable to copy 990120200413796.txt to C:\Users\todd.koym\Documents\Renewable NRG Systems\Exports\
    Converting   30/30   991020200412081.RWD  ...  [DONE]
    Traceback (most recent call last):
      File "C:\Users\todd.koym\projects2\metl\env\Scripts\metl-convert-rwd-script.py", line 11, in <module>
        load_entry_point('metl', 'console_scripts', 'metl-convert-rwd')()
      File "c:\users\todd.koym\projects2\metl\src\metl\cli.py", line 112, in convert_rwd
        converter.convert()
      File "c:\users\todd.koym\documents\github\nrgpy\nrgpy\convert_rwd.py", line 137, in convert
        log_count, log_files = count_files(self.out_dir, self.file_filter, 'log', show_files=True, start_time=self.start_time)
      File "c:\users\todd.koym\documents\github\nrgpy\nrgpy\utilities.py", line 65, in count_files
        if os.path.getmtime(os.path.join(dirpath,x)) > start_time:
    TypeError: '>' not supported between instances of 'float' and 'datetime.datetime'
    (env) PS C:\Users\todd.koym\projects2\metl>
    
    opened by tkoym 1
  • txt filtering for sympro_txt_read.concat_txt

    txt filtering for sympro_txt_read.concat_txt

    if txt files are among rlds, the sympro_txt_read.concat_txt method will fail. Need to add a check for valid txt exports.

    Interim fix would be to add exception handling for UnicodeDecodeError, which occurs when the original RLD file is in the same folder as the TXT export.

    opened by nrgpy 1
Releases(v1.8.4)
Owner
NRG Tech Services
NRG Tech Services
Vectorizers for a range of different data types

Vectorizers for a range of different data types

Tutte Institute for Mathematics and Computing 69 Dec 29, 2022
An experimental project I'm undertaking for the sole purpose of increasing my Python knowledge

5ePy is an experimental project I'm undertaking for the sole purpose of increasing my Python knowledge. #Goals Goal: Create a working, albeit lightwei

Hayden Covington 1 Nov 24, 2021
TheMachineScraper 🐱‍👤 is an Information Grabber built for Machine Analysis

TheMachineScraper 🐱‍👤 is a tool made purely for analysing machine data for any reason.

doop 5 Dec 01, 2022
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine

Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine Intro This repo contains the python/stan version of the Statistical Rethinking

Andrés Suárez 3 Nov 08, 2022
An Integrated Experimental Platform for time series data anomaly detection.

Curve Sorry to tell contributors and users. We decided to archive the project temporarily due to the employee work plan of collaborators. There are no

Baidu 486 Dec 21, 2022
Describing statistical models in Python using symbolic formulas

Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design mat

Python for Data 866 Dec 16, 2022
Pyspark Spotify ETL

This is my first Data Engineering project, it extracts data from the user's recently played tracks using Spotify's API, transforms data and then loads it into Postgresql using SQLAlchemy engine. Data

16 Jun 09, 2022
This repository contains some analysis of possible nerdle answers

Nerdle Analysis https://nerdlegame.com/ This repository contains some analysis of possible nerdle answers. Here's a quick overview: nerdle.py contains

0 Dec 16, 2022
Falcon: Interactive Visual Analysis for Big Data

Falcon: Interactive Visual Analysis for Big Data Crossfilter millions of records without latencies. This project is work in progress and not documente

Vega 803 Dec 27, 2022
Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required)

Binomial Option Pricing Calculator Option Pricing Calculator using the Binomial Pricing Method (No Libraries Required) Background A derivative is a fi

sammuhrai 1 Nov 29, 2021
The lastest all in one bombing tool coded in python uses tbomb api

BaapG-Attack is a python3 based script which is officially made for linux based distro . It is inbuit mass bomber with sms, mail, calls and many more bombing

59 Dec 25, 2022
Python implementation of Principal Component Analysis

Principal Component Analysis Principal Component Analysis (PCA) is a dimension-reduction algorithm. The idea is to use the singular value decompositio

Ignacio Darago 1 Nov 06, 2021
t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology.

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Isaac Robinson 61 Nov 21, 2022
DaCe is a parallel programming framework that takes code in Python/NumPy and other programming languages

aCe - Data-Centric Parallel Programming Decoupling domain science from performance optimization. DaCe is a parallel programming framework that takes c

SPCL 330 Dec 30, 2022
Learn machine learning the fun way, with Oracle and RedBull Racing

Red Bull Racing Analytics Hands-On Labs Introduction Are you interested in learning machine learning (ML)? How about doing this in the context of the

Oracle DevRel 55 Oct 24, 2022
A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.

TennisBusinessIntelligenceProject - A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.

carlo paladino 1 Jan 02, 2022
HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets

HyperSpy is an open source Python library for the interactive analysis of multidimensional datasets that can be described as multidimensional arrays o

HyperSpy 411 Dec 27, 2022
Autopsy Module to analyze Registry Hives based on bookmarks provided by EricZimmerman for his tool RegistryExplorer

Autopsy Module to analyze Registry Hives based on bookmarks provided by EricZimmerman for his tool RegistryExplorer

Mohammed Hassan 13 Mar 31, 2022
Pipetools enables function composition similar to using Unix pipes.

Pipetools Complete documentation pipetools enables function composition similar to using Unix pipes. It allows forward-composition and piping of arbit

186 Dec 29, 2022
PySpark bindings for H3, a hierarchical hexagonal geospatial indexing system

h3-pyspark: Uber's H3 Hexagonal Hierarchical Geospatial Indexing System in PySpark PySpark bindings for the H3 core library. For available functions,

Kevin Schaich 12 Dec 24, 2022