using S3PATH

fp = S3Path("s3:https://bucket/tmpfile")

write(fp, "Something")

isfile(fp) # true
isdir(fp) # false

readdir(dirname(fp)) # tempfile
                     # and any other files/folders

"Something" == read(String, fp) # true

cp(fp, S3Path(bucket, "tmpfile2"))

"Something" == read(String, S3Path(bucket, "tmpfile2")) # true

rm(fp)

# Copy files to and from a bucket

fp = S3Path("s3:https://bucket/a_file")
cp("a_file", fp)
cp(fp, "local_copy")
run(`diff a_file local_copy`)

# Writing larger amounts of data
write1 = rand(UInt8, S3PATH.DEFAULTBUFFERSIZE * 2) # 10 MB
write2 = rand(UInt8, S3PATH.DEFAULTBUFFERSIZE * 3) # 15 MB

open(fp, "w") do io
    write(io, write1)
    write(io, write2)
end

read(fp) == vcat(write1, write2)

rm(fp)

# Writing a Parquet File to S3
using DataFrames
using Parquet2

fp = S3Path("s3:https://bucket/data.parq")

df = DataFrame(a = 1:20, b = 0, c = "awesome!")

open(fp, "w") do io
    Parquet2.writefile(io, df)
end

df2 = Parquet2.Dataset(read(fp)) |> DataFrame

df == df2 # true

rm(fp)