### A Pluto.jl notebook ###
# v0.17.1

using Markdown
using InteractiveUtils

# ╔═╡ 88d2a9b8-d8e4-47a2-b1de-369d8fb44c20
using PlutoUI; PlutoUI.TableOfContents(title = "Benchmarking Procesos")

# ╔═╡ 07ddd182-470c-11ec-3704-93171dbc510e
begin
	using CSV, DataFrames, DataFramesMeta, Dates, IndexedTables
	using FileIO, JLD2, JuliaDB, JuliaDBMeta, Statistics, StatsBase 
	using Plots, StatsPlots
	#cd(raw"\\srvfs02\Departamento de Investigacion Economica\Departamento\BD Internacional\Remesas")
	cd(raw"D:\Departamento\BD Internacional\Remesas")
	#include("functions/fn_all.jl");
	Plots.plotly()
	#ENV["COLUMNS"]=1000
	#ENV["LINES"] = 60
	
	## Cargar base desde archivo, como dataframe
	#directorio = "//srvfs02/Departamento de Investigacion Economica/Departamento/BD Internacional/Remesas/"
	directorio = "D:/Departamento/BD Internacional/Remesas/"
end

# ╔═╡ d1d0d4b2-92c1-4faa-8e42-7b7241fa1cc2
begin
	# 801197710224
	x = round.(rand(5)*10^12)#00000000000)
	using Formatting
	format.(x)
	#x
	round.(x./10^11)
end

# ╔═╡ 454637cc-589c-459d-93fd-7da3ba6fd67c
md"# Leer CSVs"

# ╔═╡ 53266a68-82e6-4024-af9d-8cefe89399f9
global function mergeCSV(fecha_proceso)
	n1 = Dates.now()
	searchdir(path, key) = Base.filter(
		x -> Base.contains(x, key), Base.readdir(path))
	key = fecha_proceso * ".csv"
	path = "csv/"
	csv = searchdir(path, key)
	NArchivo_csv = Base.size(csv)[1];

	# Importar archivos, seleccionar y renombrar variables
	#path * csv[1]
	bases_csv = []

	for i in 1:NArchivo_csv
		Base.push!(bases_csv,
			CSV.read(path * csv[i],
				delim = ',',
				DataFrames.DataFrame))
		DataFrames.rename!(bases_csv[i],
			:Fecha_Contable => :Fecha,
			:Departamento => :DeptoTransacc,
			:Municipio => :MunicTransacc,
			:RTN_Identidad => :ID)
		bases_csv[i] = DataFramesMeta.select(bases_csv[i],
			:Fecha,
			#:Agente_Cambiario,
			#:Tipo_Transaccion,
			#:Actividad_Economica,
			#:Medio_Pago,
			:DeptoTransacc,
			:MunicTransacc,
			:Tasa_Cambio,
			:Monto,
			:ID,
			:Tipo_Cliente);
	end

	# Unir en una sola tabla
	database = Base.copy(bases_csv[1])
	for i in 2:NArchivo_csv
		database = Base.vcat(
			database, bases_csv[i])
	end
	database
end

# ╔═╡ 4a5b02b5-83d5-46b9-88ec-41f4d0df54d1
database = mergeCSV("2021")

# ╔═╡ ae2c7408-7ca2-4166-98be-f9ba3d8476ed
md"# Cambiar Formatos"

# ╔═╡ 38b7bde3-7c34-4930-8582-bfd067a05c09
md"## Fecha"

# ╔═╡ cd85e83f-f380-480a-9c78-5fdbbba068ab
begin
	database[!, :Fechas] .= Dates.Date("1-1-1")
	database[!, :Days] .= 0
    database[!, :Weeks] .= 0
    database[!, :Months] .= 0
    database[!, :Years] .= 0
	database
end

# ╔═╡ 5cb827be-5ad3-49a3-b920-b1df8a8cb861


# ╔═╡ df699c60-d076-4319-9d95-13ea2afe955c


# ╔═╡ fbd5cb7c-e722-4a2e-84ef-4c6702134234
# Benchmarking
#=
@time database[!, :Fechas] = Dates.Date.(
		database[!, :Fecha],
		Dates.DateFormat("d/m/Y H:M:S"))
@time for i in 1:Base.size(database)[1]
	database[i, :Fechas] = Dates.Date.(
		database[i, :Fecha],
		Dates.DateFormat("d/m/Y H:M:S"))
	end
=#

# ╔═╡ e5552459-e2ad-4f44-9760-757ea37fa233
@time for i in 1:Base.size(database)[1]
	database[i, :Fechas] = Dates.Date.(
		database[i, :Fecha],
		Dates.DateFormat("d/m/Y H:M:S"))
end

# ╔═╡ 50ca420b-2a11-4366-9541-555585eeb5ea


# ╔═╡ b45cf1f6-c70c-450b-a8e4-29f7eb44e791
database

# ╔═╡ e3c415b1-0964-4337-9f9f-c1a9616a8b5d


# ╔═╡ 029a721d-4a55-4cc0-8898-61bdfb80c10c
md"## Depurar IDs, solo enteros"

# ╔═╡ 7ffa2874-0690-4587-91db-f0e55570bcb1
global function StrToInt(x)
	try
		Base.parse.(Int64, x)
	catch
		return 0
	end
end

# ╔═╡ 11a22c40-1da4-4f9c-a650-000230546bfa
md"## Tipo de Cliente"

# ╔═╡ 3e06e476-3c9d-42c4-b167-c2ce926b2c3c
begin
	database[!, :Tipo_Clientes] .= 0
	for i in 1:Base.size(database)[1]
		if database[i, :Tipo_Cliente] == "Natural Residente"
			database[i, :Tipo_Clientes] = 1
		else
			database[i, :Tipo_Clientes] = 0
		end
	end
end

# ╔═╡ 00000000-0000-0000-0000-000000000001
PLUTO_PROJECT_TOML_CONTENTS = """
[deps]
CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
DataFramesMeta = "1313f7d8-7da2-5740-9ea0-a2ca25f37964"
Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
FileIO = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549"
Formatting = "59287772-0a20-5a39-b81b-1366585eb4c0"
IndexedTables = "6deec6e2-d858-57c5-ab9b-e6ca5bd20e43"
JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
JuliaDB = "a93385a2-3734-596a-9a66-3cfbb77141e6"
JuliaDBMeta = "2c06ca41-a429-545c-b8f0-5ca7dd64ba19"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"

[compat]
CSV = "~0.8.5"
DataFrames = "~0.22.7"
DataFramesMeta = "~0.8.0"
FileIO = "~1.11.2"
Formatting = "~0.4.2"
IndexedTables = "~0.8.1"
JLD2 = "~0.4.3"
JuliaDB = "~0.9.0"
JuliaDBMeta = "~0.4.0"
Plots = "~0.28.4"
PlutoUI = "~0.7.1"
StatsBase = "~0.32.2"
StatsPlots = "~0.14.5"
"""

# ╔═╡ 00000000-0000-0000-0000-000000000002
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[[StatsAPI]]
git-tree-sha1 = "1958272568dc176a1d881acb797beb909c785510"
uuid = "82ae8749-77ed-4fe6-ae5f-f523153014b0"
version = "1.0.0"

[[StatsBase]]
deps = ["DataAPI", "DataStructures", "LinearAlgebra", "Missings", "Printf", "Random", "SortingAlgorithms", "SparseArrays", "Statistics"]
git-tree-sha1 = "19bfcb46245f69ff4013b3df3b977a289852c3a1"
uuid = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
version = "0.32.2"

[[StatsFuns]]
deps = ["Rmath", "SpecialFunctions"]
git-tree-sha1 = "ced55fd4bae008a8ea12508314e725df61f0ba45"
uuid = "4c63d2b9-4356-54db-8cca-17b64c39e42c"
version = "0.9.7"

[[StatsPlots]]
deps = ["Clustering", "DataStructures", "DataValues", "Distributions", "Interpolations", "KernelDensity", "MultivariateStats", "Observables", "Plots", "RecipesBase", "Reexport", "StatsBase", "TableOperations", "Tables", "Widgets"]
git-tree-sha1 = "388e6588a1e09e763b0f38c498aeb350b5f76828"
uuid = "f3b207a7-027a-5e70-b257-86293d7955fd"
version = "0.14.5"

[[StructTypes]]
deps = ["Dates", "UUIDs"]
git-tree-sha1 = "d24a825a95a6d98c385001212dc9020d609f2d4f"
uuid = "856f2bd8-1eba-4b0a-8007-ebc267875bd4"
version = "1.8.1"

[[SuiteSparse]]
deps = ["Libdl", "LinearAlgebra", "Serialization", "SparseArrays"]
uuid = "4607b0f0-06f3-5cda-b6b1-a6196a1729e9"

[[Suppressor]]
git-tree-sha1 = "a819d77f31f83e5792a76081eee1ea6342ab8787"
uuid = "fd094767-a336-5f1f-9728-57cf17d0bbfb"
version = "0.2.0"

[[SweepOperator]]
deps = ["LinearAlgebra", "Test"]
git-tree-sha1 = "2039aaa96f7b21634a1b3246cb2699dd1d26d473"
uuid = "7522ee7d-7047-56d0-94d9-4bc626e7058d"
version = "0.2.0"

[[TOML]]
deps = ["Dates"]
uuid = "fa267f1f-6049-4f14-aa54-33bafae1ed76"

[[TableOperations]]
deps = ["Tables", "Test"]
git-tree-sha1 = "208630a14884abd110a8f8008b0882f0d0f5632c"
uuid = "ab02a1b2-a7df-11e8-156e-fb1833f50b87"
version = "0.2.1"

[[TableTraits]]
deps = ["IteratorInterfaceExtensions"]
git-tree-sha1 = "c06b2f539df1c6efa794486abfb6ed2022561a39"
uuid = "3783bdb8-4a98-5b6b-af9a-565f29a5fe9c"
version = "1.0.1"

[[TableTraitsUtils]]
deps = ["DataValues", "IteratorInterfaceExtensions", "Missings", "TableTraits"]
git-tree-sha1 = "78fecfe140d7abb480b53a44f3f85b6aa373c293"
uuid = "382cd787-c1b6-5bf2-a167-d5b971a19bda"
version = "1.0.2"

[[Tables]]
deps = ["DataAPI", "DataValueInterfaces", "IteratorInterfaceExtensions", "LinearAlgebra", "TableTraits", "Test"]
git-tree-sha1 = "fed34d0e71b91734bf0a7e10eb1bb05296ddbcd0"
uuid = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
version = "1.6.0"

[[Tar]]
deps = ["ArgTools", "SHA"]
uuid = "a4e569a6-e804-4fa4-b0f3-eef7a1d5b13e"

[[Test]]
deps = ["InteractiveUtils", "Logging", "Random", "Serialization"]
uuid = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[[TextParse]]
deps = ["CodecZlib", "DataStructures", "Dates", "DoubleFloats", "Mmap", "Nullables", "PooledArrays", "WeakRefStrings"]
git-tree-sha1 = "26b43d6746b52cca13c4cdef90f89652273b413e"
uuid = "e0df1984-e451-5cb5-8b61-797a481e67e3"
version = "0.9.1"

[[TimeZones]]
deps = ["Dates", "Future", "LazyArtifacts", "Mocking", "Pkg", "Printf", "RecipesBase", "Serialization", "Unicode"]
git-tree-sha1 = "a5688ffdbd849a98503c6650effe79fe89a41252"
uuid = "f269a46b-ccf7-5d73-abea-4c690281aa53"
version = "1.5.9"

[[TranscodingStreams]]
deps = ["Random", "Test"]
git-tree-sha1 = "216b95ea110b5972db65aa90f88d8d89dcb8851c"
uuid = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
version = "0.9.6"

[[UUIDs]]
deps = ["Random", "SHA"]
uuid = "cf7118a7-6976-5b1a-9a39-7adc72f591a4"

[[UnPack]]
git-tree-sha1 = "387c1f73762231e86e0c9c5443ce3b4a0a9a0c2b"
uuid = "3a884ed6-31ef-47d7-9d2a-63182c4928ed"
version = "1.0.2"

[[Unicode]]
uuid = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"

[[WeakRefStrings]]
deps = ["Missings", "Random", "Test"]
git-tree-sha1 = "960639a12ffd223ee463e93392aeb260fa325566"
uuid = "ea10d353-3f73-51f8-a26c-33c1cb351aa5"
version = "0.5.8"

[[Widgets]]
deps = ["Colors", "Dates", "Observables", "OrderedCollections"]
git-tree-sha1 = "80661f59d28714632132c73779f8becc19a113f2"
uuid = "cc8bc4a8-27d6-5769-a93b-9d913e69aa62"
version = "0.6.4"

[[WoodburyMatrices]]
deps = ["LinearAlgebra", "SparseArrays"]
git-tree-sha1 = "de67fa59e33ad156a590055375a30b23c40299d3"
uuid = "efce3f68-66dc-5838-9240-27a6d6f5f9b6"
version = "0.5.5"

[[Zlib_jll]]
deps = ["Libdl"]
uuid = "83775a58-1f1d-513f-b197-d71354ab007a"

[[nghttp2_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "8e850ede-7688-5339-a07c-302acd2aaf8d"

[[p7zip_jll]]
deps = ["Artifacts", "Libdl"]
uuid = "3f19e933-33d8-53b3-aaab-bd5110c3b7a0"
"""

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