mirror of
https://github.com/NexVeridian/ark-invest-api-rust-data.git
synced 2025-09-02 09:59:12 +00:00
0.2.0
This commit is contained in:
parent
7e12fc1e65
commit
be08848b0d
6 changed files with 162 additions and 72 deletions
148
src/util.rs
148
src/util.rs
|
@ -38,7 +38,7 @@ impl Ticker {
|
|||
pub fn merge_csv_to_parquet(folder: Ticker) -> Result<(), Box<dyn Error>> {
|
||||
let mut dfs = vec![];
|
||||
|
||||
for x in glob(&format!("data/csv/{}/*", folder.to_string()))?.filter_map(Result::ok) {
|
||||
for x in glob(&format!("data/csv/{}/*", folder))?.filter_map(Result::ok) {
|
||||
dfs.push(LazyCsvReader::new(x).finish()?);
|
||||
}
|
||||
|
||||
|
@ -61,24 +61,21 @@ pub fn update_parquet(ticker: Ticker) -> Result<(), Box<dyn Error>> {
|
|||
|
||||
pub fn read_parquet(ticker: Ticker) -> Result<LazyFrame, Box<dyn Error>> {
|
||||
let df = LazyFrame::scan_parquet(
|
||||
format!("data/parquet/{}.parquet", ticker.to_string()),
|
||||
format!("data/parquet/{}.parquet", ticker),
|
||||
ScanArgsParquet::default(),
|
||||
)?;
|
||||
Ok(df)
|
||||
}
|
||||
|
||||
pub fn write_parquet(ticker: Ticker, mut df: DataFrame) -> Result<(), Box<dyn Error>> {
|
||||
ParquetWriter::new(File::create(format!(
|
||||
"data/parquet/{}.parquet",
|
||||
ticker.to_string()
|
||||
))?)
|
||||
.finish(&mut df)?;
|
||||
ParquetWriter::new(File::create(format!("data/parquet/{}.parquet", ticker))?)
|
||||
.finish(&mut df)?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub fn df_format(folder: Ticker, mut dfl: LazyFrame) -> Result<DataFrame, Box<dyn Error>> {
|
||||
match folder {
|
||||
pub fn df_format(ticker: Ticker, mut dfl: LazyFrame) -> Result<DataFrame, Box<dyn Error>> {
|
||||
match ticker {
|
||||
Ticker::ARKVC => {
|
||||
dfl = dfl.rename(vec!["CUSIP", "weight (%)"], vec!["cusip", "weight"]);
|
||||
|
||||
|
@ -105,26 +102,95 @@ pub fn df_format(folder: Ticker, mut dfl: LazyFrame) -> Result<DataFrame, Box<dy
|
|||
}
|
||||
_ => {
|
||||
let mut df = dfl.collect()?;
|
||||
let col_names = df.get_column_names();
|
||||
|
||||
if let Ok(_) = df.rename("market_value_($)", "market_value") {}
|
||||
if let Ok(_) = df.rename("weight_(%)", "weight") {}
|
||||
|
||||
if let Ok(x) = df
|
||||
.clone()
|
||||
.lazy()
|
||||
.with_column(col("date").cast(DataType::Date))
|
||||
.filter(col("date").is_not_null())
|
||||
.collect()
|
||||
{
|
||||
df = x
|
||||
} else if let Ok(x) = df
|
||||
.clone()
|
||||
.lazy()
|
||||
.filter(col("date").is_not_null())
|
||||
.collect()
|
||||
{
|
||||
df = x
|
||||
if df.rename("market_value_($)", "market_value").is_ok() {}
|
||||
if df.rename("market value ($)", "market_value").is_ok() {}
|
||||
if df.rename("weight_(%)", "weight").is_ok() {}
|
||||
if df.rename("weight (%)", "weight").is_ok() {}
|
||||
if df.get_column_names().contains(&"fund") {
|
||||
_ = df.drop_in_place("fund");
|
||||
}
|
||||
if df.get_column_names().contains(&"weight_rank") {
|
||||
_ = df.drop_in_place("weight_rank");
|
||||
}
|
||||
|
||||
let mut expressions: Vec<Expr> = vec![];
|
||||
|
||||
if !df.fields().contains(&Field::new("date", DataType::Date)) {
|
||||
expressions.push(col("date").str().strptime(StrpTimeOptions {
|
||||
date_dtype: DataType::Date,
|
||||
fmt: Some("%m/%d/%Y".into()),
|
||||
strict: false,
|
||||
exact: true,
|
||||
cache: false,
|
||||
tz_aware: false,
|
||||
utc: false,
|
||||
}));
|
||||
}
|
||||
|
||||
if df.fields().contains(&Field::new("weight", DataType::Utf8)) {
|
||||
expressions.push(
|
||||
col("weight")
|
||||
.str()
|
||||
.replace(lit("%"), lit(""), true)
|
||||
.cast(DataType::Float64),
|
||||
);
|
||||
}
|
||||
|
||||
if df
|
||||
.fields()
|
||||
.contains(&Field::new("market_value", DataType::Utf8))
|
||||
{
|
||||
expressions.push(
|
||||
col("market_value")
|
||||
.str()
|
||||
.replace(lit("$"), lit(""), true)
|
||||
.str()
|
||||
.replace_all(lit(","), lit(""), true)
|
||||
.cast(DataType::Float64)
|
||||
.cast(DataType::Int64),
|
||||
);
|
||||
}
|
||||
|
||||
if df.fields().contains(&Field::new("shares", DataType::Utf8)) {
|
||||
expressions.push(
|
||||
col("shares")
|
||||
.str()
|
||||
.replace_all(lit(","), lit(""), true)
|
||||
.cast(DataType::Int64),
|
||||
);
|
||||
}
|
||||
|
||||
df = df
|
||||
.lazy()
|
||||
.with_columns(expressions)
|
||||
.filter(col("date").is_not_null())
|
||||
.collect()?;
|
||||
|
||||
if !df.get_column_names().contains(&"share_price") {
|
||||
df = df
|
||||
.lazy()
|
||||
.with_column(
|
||||
(col("market_value").cast(DataType::Float64)
|
||||
/ col("shares").cast(DataType::Float64))
|
||||
.alias("share_price")
|
||||
.cast(DataType::Float64)
|
||||
.round(2),
|
||||
)
|
||||
.collect()?;
|
||||
}
|
||||
|
||||
df = df.select([
|
||||
"date",
|
||||
"ticker",
|
||||
"cusip",
|
||||
"company",
|
||||
"market_value",
|
||||
"shares",
|
||||
"share_price",
|
||||
"weight",
|
||||
])?;
|
||||
|
||||
Ok(df)
|
||||
}
|
||||
|
@ -132,22 +198,32 @@ pub fn df_format(folder: Ticker, mut dfl: LazyFrame) -> Result<DataFrame, Box<dy
|
|||
}
|
||||
|
||||
pub fn get_csv(ticker: Ticker) -> Result<LazyFrame, Box<dyn Error>> {
|
||||
let data: Vec<u8>;
|
||||
let request;
|
||||
match ticker {
|
||||
let url = match ticker {
|
||||
Ticker::ARKVC => {
|
||||
request = Client::new()
|
||||
.get("https://ark-ventures.com/wp-content/uploads/funds-etf-csv/ARK_VENTURE_FUND_HOLDINGS.csv")
|
||||
"https://ark-ventures.com/wp-content/uploads/funds-etf-csv/ARK_VENTURE_FUND_HOLDINGS.csv".to_owned()
|
||||
}
|
||||
_ => {
|
||||
request = Client::new().get(format!(
|
||||
format!(
|
||||
"https://ark-funds.com/wp-content/uploads/funds-etf-csv/ARK_{}_ETF_{}_HOLDINGS.csv",
|
||||
ticker.value(),
|
||||
ticker.to_string()
|
||||
))
|
||||
ticker
|
||||
)
|
||||
}
|
||||
};
|
||||
|
||||
let response = Client::builder()
|
||||
.user_agent("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3")
|
||||
.build()?.get(url).send()?;
|
||||
|
||||
if !response.status().is_success() {
|
||||
return Err(format!(
|
||||
"HTTP request failed with status code: {:?}",
|
||||
response.status()
|
||||
)
|
||||
.into());
|
||||
}
|
||||
data = request.send()?.text()?.bytes().collect();
|
||||
|
||||
let data: Vec<u8> = response.text()?.bytes().collect();
|
||||
|
||||
let df = CsvReader::new(Cursor::new(data))
|
||||
.has_header(true)
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue