Tools to work with data inside BLCs MS Sharepoint Cloud & Database
Project description
BLC Data Analytics tools package
Data Analytics helper functions to work with inside BLC's Cloud system.
Changelog
Version 0.0.35
-
DatosCROM()
- Added: incidencias_resumen_status attribute
- Deleted: Client attribute
- Changed: resumen_diario_incidencias to incidencias_resumen_diario
-
TablasVC()
- Deleted: Client attribute
-
PPO()
- Changed: Default dates on initialization are now blctools.ayer()
-
DTE()
- Changed: Default dates on initialization are now blctools.ayer()
- Changed: Improved internal modilarity
- Changed: "dolarizar" parameter to "cols_usd"
- Added: "dolarizar" method
Version 0.0.34
- BCRA()
- Fixed bug: rem 24 month projections were not being projected properly
Version 0.0.33
- BCRA()
- Added: cargar_tc_min = False as initialization parameter
- Added: tc_min as the retail price for the USD in ARS
- Fixed bug: rem projections were not being projected properly
Version 0.0.32
- fechas
- Fixed bug: restar_mes wasn't working for some months of the year.
Version 0.0.31
-
ArchivoMDB()
- New object: It serves as an easy way to explore .mdb files
-
ReporteBase()
- Changed: how the object processes mdb files. It's now more efficient
Version 0.0.30
-
BCRA()
- Changed: On initializing, rem tryies to download all files
- Changed: nor .rem_tc table is called .tc_rem
- Changed: now obtener_rem_mensual() is called cargar_rem()
- All possible attributes are nor .tc_dia, .tc_udh, .tc_rem and .rem
-
DTE()
- Changed: Cargar DTE goes on even if tc_udh couldn't be loaded from BCRA() object
-
DatosSMEC()
- Changed: consultar_datos_vc() is now cargar_datos_vc()
Version 0.0.29
-
DTE()
- Added: Option to convet prices to USD
- Added: Initialization parameters cargar (bool), descargar (bool) and dolarizar (str,list,tuple,set)
-
.fechas
- Added: lista_mensual. Returns a list of dates provided a starting date and an "n"
- Added: convertir_año_a_fecha() Returns a dt.DateTime object, starting from an integer (year)
- Fixed bug: mes_ult_dia wasn't allowing for future dates
-
BCRA()
- Added: Added interface with Argentina's Central Bank to download exchange rate (tc) and Market Expectations (REM)
-
DatosCROM()
- Fixed bug: After 0.0.25 update, the object wasn't reading .xlsx files properly, thus crashing when trying to read.
Version 0.0.28
- DatosSMEC()
- Changed: FechaOp column is now datetime type, when Querying VisionCROM's database.
Version 0.0.27
- DatosSMEC()
- Fixed bug: HoraOp on cargar_datos_prn was not being calculated correctly.
- Fixed bug: Actaris meters have now the right column order.
- Changed: Now E_Neta_Gen and E_Neta_Con are calculated when each file is read, for consistency.
Version 0.0.26
-
DatosCROM()
- Added .DatosCROM() now warns if there is an empty excel file
-
DatosCdO()
- Added strings report
- Changed the variable-reading process, made it more efficient. By adding .pickle file as backup.
- Added listado_señales_strings(): get list of "string" signals (actually DC combiner boxes)
- Added descargar_datos_strings(): download "string" signals' mesaurements (actually DC combiner boxes)
-
DatosSMEC()
- Added this new object to interact with VisionCROM's DataBase and fetch SMEC measurements
- Initialization parameters:
- fecha_i = Data's start date. DateTime object with year, month, day, hour and minute interval.
- fecha_f = Data's end date. Same as fecha_i
- parques = CAMMESAS's Nemotécnicos to indicate from which park the measurements will be retrieved
- dir_salida = export directory
- cargar_datos_basicos = sames as TablasVC()
- mensajes = Verbose while loading
- mensajes_SQL = Verbose while connecting
- Initialization parameters:
- Added consultar_datos_vc(): Query VisionCROM's database using fecha_i, fecha_f and parque attributes
- Added leer_archivo_prn(file): Read a single .prn file
- Added cargar_datos_prn(folder): Read every .prn file in a given folder
- Added this new object to interact with VisionCROM's DataBase and fetch SMEC measurements
Version 0.0.25
-
TablasVC()
- Changed: modificar_incidencia() now doesn't affect .incidencias_todas_auditoria attribute.
-
DatosCROM()
- Improved: .estimar_ENS_varias_incidencias()'s overall speed and precision. Still not good for production, but better for single WTG incidents.
- Improved: Memory Usage overall
- Removed : Pgen_U variable, was a duplicate of FC.
- Removed: Pcon_U, Egen_U, Econ_U, Epos_U, very rarely useed, could be calculated by hand.
-
DatosCdO()
- Added this new object to interact with InAccess' API and download raw data from Caldenes del Oeste solar PV Plant (CdO)
- Initialization parameters:
- usr = Username (SCADA's username)
- pwd = PAssword (SCADA's password)
- apikey = Private apikey provided from InAccess
- fecha_i = Data's start date. DateTime object with year, month, day, hour and 10 minute interval.
- fecha_f = Data's end date. Same as fecha_i
- reporte_produccion = True / False. Indicate if production report should be downloaded automatically
- reporte_trackers = True / False. Indicate if trackers report should be downloaded automatically
- reporte_mensual = True / False. If True, downloads both reports. False has no effect.
- exportar = True / 'todos' / 'produccion / 'trackers'.
- If True or 'todos' exports everything.
- 'produccion' and 'trackers' export the respective report each.
- Initialization parameters:
- Added obtener_señales(): Takes in a dataframe of Measurement Locations (Mlocs) and fetches all possible signals.
- Added obtener_mediciones(): Takes a dataframe of signal lists and fetches data
- Added listado_señales_trackers(): Just a preset, that shows which signals are used for the monthly production report
- Added listado_señales_produccion(): Just a preset, that shows which signals are used for the monthly tracker report
- Added mediciones_disponibles(): Initializing function that loads every available signal, from BLC's cloud
- Added descargar_datos_produccion(): Downloads data from listado_señales_produccion() signals using DatosCdO's start and end date parameters
- Added descargar_datos_trackers(): Downloads data from listado_señales_trackers() signals using DatosCdO's start and end date parameters
- Added exportar(reportes = str): Exports loaded data from preset reports ['todos', 'produccion', 'trackers'].
- Added this new object to interact with InAccess' API and download raw data from Caldenes del Oeste solar PV Plant (CdO)
Version 0.0.24
- DatosCROM()
- estimar_ENS() now subtracts actual generated power from estimated power loss
- Fixed bug: estimar_ENS() wasn't checking datatypes properly
Version 0.0.23
-
PPO() and DTE()
- Fixed bug: Setting "filtro" on initialization had no effect on running functions with default parameters.
-
cl_CarpetaServicios()
- Added: blctools now finds "Servicios" folder, even when it's not explicitly written in the OS Path.
-
DatosCROM()
- Added: estimar_ENS() takes a list of ids and estimates the ENS for each incident, based on actual production values.
- Added: estimar_ENS_incidencias_abiertas() fills the ENS of the incidents that are still open
- Added: estimar_ens_inc_abiertas = False initialization parameter
- Added: incidencias_a_editar = None, takes a dictionary of dictionaries. The first dict has the IDs of the incidents that have to be edited as keys and their corresponding values are a second dictionary that holds the new parameters (and new values) . Example: {18088:{ENS=800,Owner='NewOwner'},18089:{Hours=8,Origin='INT'}}
- Fixed bug: Plant Active Power and Energy was being calculated from WTGs / Circuits and it shouldn't. It has it's own values
- Excludes incidents with Hours or ENS < 0 on .incidencias and .incidencias_redux attributes, but not in incidencias_todas
- cargar_incidencias is now False as default.
- explotar_incidencias is now False as default.
-
Fechas module
- Fixed bug: hora_op, fecha_op, sumar_mes / restar_mes now have prevenir_futuro=False as default parameter and pass it to validar_fecha(s)
- Fixed bug: obtener_periodo now has prevenir_futuro=True as default parameter and passes it to mes_periodo(s)
-
TablasVC()
- Added .consultar_agrupamiento_de_un_equipo()
- Added .modificar_incidencia() to edit a current incident
- Fixed Bug: Query for incidencias was not returning open incidents
Version 0.0.22
- DatosCROM()
- Added: One can now initialize the "parques" parameter with a single string, to avoid using brackets when working with just one park.
- Fixed bug: Eerror when no active incidents were found for a given parq/period and trying to .interpretar_incidencias_bajo_iec61400()
- Fixed bug: Some functions where trying to call TablasVC().consultar_incidencias() which doesn't exist anymore. Now its .consultar(incidencias='offline')
Version 0.0.21
-
DatosCROM()
- Added: .buscar_indisponibilidades(). Searches for periods of time which the WTGs met certain condition filters of out of service
- Added: .buscar_limitaciones(). Searches for periods of time which the PLANT or WTGs had an SP_P > than the max.
- Added: .buscar_incidencias() combines both previous functions in a single line.
- Added: .incidencias_autodetectadas attribute, with export capabilities
- Added: "Status" column to incidencias_redux
- Added: "Count" and "Histogram" columns when calculating powercurves. _count "sheet" on export is now always there.
- Added: "explotar_incidencias" initialization parámeter, which can take either 'iec61400' (default) or 'crudas'
- Fixed bug: Missing Indices on datos_seg when trying to consolidate incidents and 10second data
- _identificar_indisponibilidades() pgen and ppos parameters were added, to further improve filtering capacity
- __procesar_d10s_dc() and cargar_segundales() now use DataFrame.reindex() to fill with blank rows where necessary.
- elaborar_curvas_de_potencia() now sorts index clockwise instead of alphabetically
-
TablasVC()
- Added .consultar_agrupamiento_de_un_equipo()
Version 0.0.20
- DatosCROM()
- interpretar_incidencias_bajo_iec61400() made more efficient, while keeping compatibility with pandas >= 1.5.0
- _identificar_indisponibilidades() pgen and ppos parameters were added, to further improve filtering capacity
- TablasVC()
- Added "potencia=False" parameter to consultar_agrupamientos(), consultar_equipos_no_agrupamientos()
Version 0.0.19
- DatosCROM()
- Fixed bug: interpretar_incidencias_bajo_iec61400() was experiencing problems with pandas >= 1.5.0, and had a problem with the index selection statement at the beginning.
- Added experimentally: _identificar_indisponibilidades(duracion=30)
Version 0.0.18
- DatosCROM()
- .exportar() now flattens MultiIndex columns, freezes panes and formats floats, for easier view on Excel.
- Added "invalidar_datos_seg_congelados" initialization parameter (default = False)
- Fixed bug: .exportar() throwing error when curvas_de_potencia or consolidado held more than 1 Dataframe
- Fixed bug: .interpretar_incidencias_bajo_iec61400() now trims final result between fecha_i and fecha_f
- Fixed bug: .elaborar_curvas_de_potencia() wasn't working properly with filtro_n >1
Version 0.0.17
- fechas submodule
- Added .sem_dia_1(date,offset=0) function. Returns first day of week of the given date + given offset in days (offset can be negative)
- Added .sem_act_dia_1(offset=0) function. Returns first day of current week + given offset in days
- Added .año_op(fecha_actual,fecha_cod) function. Returns the current contractual year based on the two dates (First year is 1, not 0)
- DatosCROM()
- adjusted how xlsx files processing time is calculated
- adjusted how .pickle files are created/read. Compression was added through bz2
- consolidado attribute is now called consolidado_redux, which is a subset of columns of consolidado
- consolidado attribute now holds all the original data, but resampled to the users' input sample rate, excluding categorical variables
- consultar_equipos_parque() and consultar_equipos_parque_no_agrupamientos() are now called consultar_equipos() and consultar_equipos_no_agrupamientos()
- __iec61400_preparar_df_vacio_minutal() and it's aux methods are now more efficient
- Added variables "Gen", "Con", "Pos" as boolean series for each equipment, into the datos_seg dataframe
- Added columns "ENS_Lim","ENS_LimExt","ENS_LimInt","ENS_Ind","ENS_IndExt,"ENS_IndInt" to "consolidado" report
- Added variable "Datos_%" which indicates the ammount of not null data per row, per element, into the datos_seg dataframe
- Added variable "Registros" which indicates the ammout of rows (measured in time) on the excel file for that given element. Should alwasy equal 24
- Fixed bug: .__procesar_d10s_5i() wasn't ensuring boolean dtypes for 'Gen','Con' and 'Pos', which impacted negatively on .elaborar_reporte_consolidado()
- Fixed bug: .consolidar_todo() wasn't working with PEGARCIG
- Fixed bug: .consolidar_todo() wasn't working adding up HOUR columns properly (the rest was fine)
- Fixed bug: .consolidar_todo() wasn't finishing if there weren't any incidents for a given park on a given time window
- Fixed bug: .explotar_incidencias() now works properly if there aren't any incidents on a given time window
- Fixed bug: .exportar() was exporting empty dataframes, since they were not "None"
- Fixed bug: Roll-up of availability parameters wasn't being done correctly. Now groupings are the mean or logic operator of their groupped elements.
- Fixed bug: 10s pre-processing: Wind_dir_r was not being saved correctly for 'PLANT' element on self.datos_seg
- Fixed bug: 10 second data is now being completed (in case of missing 10second records) with null values. This could have lead to serious problems when
- Fixed bug: On many methods. From pandas >= 1.5.0 numpy series where linked and not copied when creating a new df. This created many bugs throughout the whole program.
- unloading incidents to the 10 second data, since the main mechanism behind it is selection trhough .loc[t_stamp,:]
- TablasVC()
- Added attributes .habilitaciones and .tipohabilitaciones which are new tables of "datos básicos". They contain COD related information of each plant
- Added .consultar_cod(nemo_parque='',uc='') function, to quickly find out about a plant's COD (Birthday) date (grabs from the table above)
- Added .consultar_año_op(fecha_actual,feca_cod) function. Returns the contractual year (Contractual age) of a power plant
- Added .__crear_dict_tipo_empresa(). Which fills in thre internal attributes: _empresas_bop, _empresas_gen, _empresas_grid
- Fixed bug: .consultar() would fetchdatos_basicos from offline file even when 'online' parameter was set. This was due to:
- a logic error of variable db_off inside .consultar()
- the order in which instructions were executed
- Fixed bug: __procesar_incidencias_it2() wasn't executing properly when cargar_datos_basicos = 'offline' was set. Solved by calling the new function .__crear_dict_tipo_empresa() before business mapping
- Fixed bug: Desconecting twice from DB when fetching incidencias
- Fixed bug: __combinar_incidencias_locales_y_online() wasn't working properly. Duplicate dropping should only be done by 'ID'
- Refactored __asignar_datos() .method, to make it modular per table
Version 0.0.16
- DatosCROM()
- Added data invalidation when processing 10 second data. Now consecutive values of P, Q, Wind, Wind_dir and PPos != 0 and != max (for Ppos) are replaced with np.nan
- Fixed bug when selecting no .parques ( [] ) and initializing a DatosCROM object
- Fixed bug when truying to export specific reports through the generating functions (ie elaborar_curvas_de_potencia, interpretar_bajo_iec61400, etc.) and seeting the "exportar" parameter to True
- Fixed bug. PI wasn't being correctly calculated. (* instead of / was being used)
- Added "filtro_n" parameter to .elaborar_curvas_de_potencia(), to only show results with an n_count >= n per bin. Default 0 (deactivated)
- Added feature. Ppos is being calculated if column doesn't exist, based on Curvas_de_potencia.xlsx on BLC's cloud under blc.get_dc_cfg() directory
- "clientes" initializing parameter was removed (little use for it)
- "solo_CROM" initializing parameter was removed (little use for it)
- TablasVC()
- Improved the processing of incidents, now "Origin" is "NA" and np.nan resistent. Default = "INT"
- Fixed bug through which a filter for discarded incidents wasn't working.
- Refactored processing of incidents, it's more readable now
Version 0.0.15
- DatosCROM()
- .exportar() was added. Helper function to export all loaded reports to xlsx format.
- .explotar_incidencias() now takes in optional export parameters.
- .incidencias_interpretar_bajo_iec61400() now takes in optional export parameters.
- .incidencias_identificar_solapamientos() was added.
- "curvas_de_potencia" parameter added while initializing, to force power curves to be computed automatically
- .elaborar_curvas_de_potencia() is now more resistent to failures. Powercurves can be elaborated without having to process incidents before, although not recommended if user doesn't know what he is doing.
- changed how __renombrar_lvl0() works, now it must be feed the equipment names.
- TablasVC()
- fixed a bug, where .consultar_equipos_parque_no_agrupamientos would return "PLANT" twice for GRIOEO
- "cargar_incidencias" and "cargar_datos_basicos" parameters added while initializing, with possible values being [Flase, True, 'offline', 'online']
- now queries per default active incidents from the 1st day of two months prior to today (if True or 'online' values where passed to "cargar_incidencias" parameter). Then concatenates obtained results with offline results (if there are any).
Version 0.0.14
- TablasVC()
- Fixed bug: Corrected functions that took equipments from blctools.TablasVC().conjuntogeneradores, now reading from .tipoequipo
- Fixed bug: Now Parks without any grouping of it's generators can return the generators without grouping. Special Case: PEGARCIG
- SQLConnector()
- now decrypts login data from BLC's secure fileserver.
- DatosCROM()
- .consultar_equipos_parque() now retrieves the right elements if the plant doesn't havy any other grouping stages
- .consultar_equipos_por_agrupamiento() now returns an empty list if the plant doesn't havy any other grouping stages
- .rpt_consolidado(granularidad='1D') was added.
- "forzar_reprocesamiento" parameter added while initializing, to force re-process 10 second data.
- .rpt_curvas_de_potencia() was added
- changed the behaviour of .fecha_i and .fecha_i setters. They now attempt to update "incidencias" and "archivos" depending on the values of fecha_i and fecha_f, but the setters dont try to order the dates automatically, which lead to an unwanted behaviour.
- Changed completely how DatosCROM() now proceses raw data (10 seconds and Incidencias). It's more efficient, and the heavy lifting occurs while processing the 10-second data. Now index has 1 column (Time) and columns have a 3 level structure (p,e,v) = Park, Element, Variable
Version 0.0.13
- Created SQLConnector class to migrate to SQLAlchemy
- blctools.TablasVC now inherits from SQLConnector
Version 0.0.12
- Function blctools.fechas.obtener_periodo() was added (moved from blctools.ReporteBase())
- Added more parameter flexibility within all functions inside blctools.fechas.
- Objects PPO(), DTE() and DatosCROM() now accept the "periodo" initialization parameter (overrides fecha_i and fecha_f).
- bjects blctools.DatosCROM() and blctools.TablasVC() have now the "solo_CROM=False" initialization parameter.
- function blctools.TablasVC.consultar_nemoCammesa() has now the "solo_CROM=False" argument
Version 0.0.11
- Corrected blctools.PPO.periodo('mes_anterior')
- Function ReporteBase.a_excel() accepts now the parameter "exportar_consulta=bool"
- Objects PPO() and DTE() now accept the following initialization parameters
- "filtro"
- "periodo" (overrides fecha_i and fecha_f)
- No more unnecessary warnings on changing the "filtro" parameter
- Function blctools.fechas.mes_dia_1() and blctools.fechas.mes_ult_dia() now validate dates using blctools.fechas.validar_fechas()
- Functions blctools.fechas.validar_fecha() and .validar_fechas() now have a parameter "prevenir_futuro=True" as default, to prevent future dates or not.
- Fixed a bug, when changing "filtro" on functions of child classes of DTE() or PPO(), download and extraction directories wouldn't update properly.
Version 0.0.10
- Attribute blctools.DatosCROM.dir_salida sets to which directory the reports go out to (didn't have much impact before)
- Improved automatic Servicios directory search
Version 0.0.9
- Removed dependencies list
- Ability to download unfiltered PPOs/DTEs without specifying parks/plants list
- Incidents are no longer loaded by default on blctools.DatosCrom() objects
Version 0.0.8
- Corrected dependencies list
Version 0.0.6 ~ 0.0.7
- Bug fixes regarding file management
- Ability to customize filters when hitting CAMMESA's API
- PBA calculation according to IEC61400 is still functioning incorrectly
Version 0.0.5
- Most of the code is Object Oriented now.
- CAMMESA's forecasts have been added.
Version 0.0.2 ~ 0.0.4
- Fixed the install issues
Version 0.0.1
- Basic functionality is up and running
TO DOs
- Corroborar que la cantidad de grupos de columnas en los archivos 10 segundales, coincida con la cantidad de equipos del parque cuyo nombre de archivo enuncia.
- Convertir DatosCROM().parques a "nemos" automáticamente.
- Mejorar los mensajes de procesamiento nivel 0, 1 y 2 en todas las funciones
- Fix Bug: Code could break by passing an '' element into parques initialization parameter
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
blctools-0.0.35.tar.gz
(88.8 kB
view details)
Built Distribution
blctools-0.0.35-py3-none-any.whl
(89.9 kB
view details)
File details
Details for the file blctools-0.0.35.tar.gz
.
File metadata
- Download URL: blctools-0.0.35.tar.gz
- Upload date:
- Size: 88.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9e34d8c8bc196e0eff2eb8a0b8eb59eb4652f15ddef835185160940bdd8a0daa |
|
MD5 | 8ba01d854e5d361192c6dd1011dc36e8 |
|
BLAKE2b-256 | 127a75e82ea40a0d3c54e478f898eca6a6e01e11e36487964b75c2f1d72d187b |
File details
Details for the file blctools-0.0.35-py3-none-any.whl
.
File metadata
- Download URL: blctools-0.0.35-py3-none-any.whl
- Upload date:
- Size: 89.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4a544632174951234aea2a719e7f9f654e50b72da7a5b1e225cd0b235bcc9c9b |
|
MD5 | 9e8163b53adbb883421a33e1a7f50044 |
|
BLAKE2b-256 | 7c61e65b0839bf56612258b191a768f9feb0eb7d1f31be18381ecee19e883956 |