msyrs/src/utils/qdf/blacklist.rs
2025-04-16 01:36:48 +01:00

281 lines
8.9 KiB
Rust

use crate::utils::bdates::{get_bdates_list_with_freq, BDateFreq};
use crate::utils::dateutils::get_min_max_real_dates;
use crate::utils::misc::get_cid;
use crate::utils::qdf::core::check_quantamental_dataframe;
use chrono::NaiveDate;
use polars::prelude::*;
use std::collections::{BTreeMap, HashMap};
use std::error::Error;
pub fn create_blacklist_from_qdf(
df: &DataFrame,
group_by_cid: Option<bool>,
blacklist_name: Option<String>,
metric: Option<String>,
) -> Result<BTreeMap<String, (String, String)>, Box<dyn Error>> {
check_quantamental_dataframe(df)?;
let metric = metric.unwrap_or_else(|| "value".into());
let blacklist_name = blacklist_name.unwrap_or_else(|| "BLACKLIST".into());
let group_by_cid = group_by_cid.unwrap_or(true);
let (min_date, max_date) = get_min_max_real_dates(df, "real_date".into())?;
let min_date_str = min_date.format("%Y-%m-%d").to_string();
let max_date_str = max_date.format("%Y-%m-%d").to_string();
// let all_bdates = get_bdates_series_default_opt(min_date_str, max_date_str, None)?;
let all_bdates = get_bdates_list_with_freq(
min_date_str.clone().as_str(),
max_date_str.clone().as_str(),
BDateFreq::Daily,
)?;
// filter df
let null_mask = df.column(metric.as_str())?.is_null();
let nan_mask = df.column(metric.as_str())?.is_nan()?;
let null_mask = null_mask | nan_mask;
let df = df.filter(&null_mask)?;
let df = df
.lazy()
.filter(
col(metric.as_str())
.is_null()
.or(col(metric.as_str()).is_nan()),
)
.sort(
["cid", "xcat"],
SortMultipleOptions::default().with_maintain_order(true),
)
.group_by([col("cid"), col("xcat")])
// .agg([col("real_date").sort(SortOptions::default())])
.agg([col("real_date")
.dt()
.strftime("%Y-%m-%d")
.sort(SortOptions::default())])
.select([
concat_str([col("cid"), col("xcat")], "_", true).alias("ticker"),
col("real_date").alias("real_dates"),
])
.collect()?;
// assert!(0 == 1, "{:?}", df);
let ticker_vec = df
.column("ticker")?
.str()?
.into_iter()
.filter_map(|opt| opt.map(|s| s.to_string()))
.collect::<Vec<String>>();
let rdt = get_vec_of_vec_of_dates_from_df(df)?;
let mut blk: HashMap<String, Vec<String>> = HashMap::new();
for (tkr, dates) in ticker_vec.iter().zip(rdt.iter()) {
if group_by_cid {
let _cid = get_cid(tkr.clone())?;
if blk.contains_key(&_cid) {
blk.get_mut(&_cid).unwrap().extend(dates.iter().cloned());
} else {
blk.insert(_cid, dates.clone());
}
} else {
blk.insert(tkr.to_string(), dates.clone());
}
}
for (_key, vals) in blk.iter_mut() {
// order is important - dedup depends on the vec being sorted
vals.sort();
vals.dedup();
}
let all_bdates_strs = all_bdates
.iter()
.map(|date| date.format("%Y-%m-%d").to_string())
.collect::<Vec<String>>();
let mut blacklist: HashMap<String, (String, String)> = HashMap::new();
for (tkr, dates) in blk.iter() {
let date_ranges = convert_dates_list_to_date_ranges(dates.clone(), all_bdates_strs.clone());
for (rng_idx, (start_date, end_date)) in date_ranges.iter() {
let range_key = format!("{}_{}_{}", tkr, blacklist_name.clone(), rng_idx);
blacklist.insert(range_key, (start_date.clone(), end_date.clone()));
}
}
// Ok(blacklist)
let mut btree_map: BTreeMap<String, (String, String)> = BTreeMap::new();
for (key, (start_date, end_date)) in blacklist.iter() {
btree_map.insert(key.clone(), (start_date.clone(), end_date.clone()));
}
Ok(btree_map)
}
fn convert_dates_list_to_date_ranges(
blacklist: Vec<String>,
all_bdates_strs: Vec<String>,
) -> HashMap<String, (String, String)> {
// Step 1: Map every date in all_bdates_strs to its index
let mut all_map: HashMap<String, usize> = HashMap::new();
for (i, d) in all_bdates_strs.iter().enumerate() {
all_map.insert(d.clone(), i);
}
// Step 2: Convert each blacklisted date into its index, if it exists
let mut blacklisted_indices: Vec<usize> = Vec::new();
for dt in blacklist {
if let Some(&idx) = all_map.get(&dt) {
blacklisted_indices.push(idx);
}
}
// Step 3: Sort the blacklisted indices
blacklisted_indices.sort_unstable();
// Step 4: Traverse and group consecutive indices into ranges
let mut result: HashMap<i64, (String, String)> = HashMap::new();
let mut string_result: HashMap<String, (String, String)> = HashMap::new();
if blacklisted_indices.is_empty() {
return string_result;
}
let mut range_idx: i64 = 0;
let mut start_idx = blacklisted_indices[0];
let mut end_idx = start_idx;
for &cur_idx in blacklisted_indices.iter().skip(1) {
if cur_idx == end_idx + 1 {
// We are still in a contiguous run
end_idx = cur_idx;
} else {
// We hit a break in contiguity, so store the last range
result.insert(
range_idx,
(
all_bdates_strs[start_idx].clone(),
all_bdates_strs[end_idx].clone(),
),
);
range_idx += 1;
// Start a new range
start_idx = cur_idx;
end_idx = cur_idx;
}
}
// Don't forget to store the final range after the loop
result.insert(
range_idx,
(
all_bdates_strs[start_idx].clone(),
all_bdates_strs[end_idx].clone(),
),
);
let max_digits = result.keys().max().unwrap_or(&-1).to_string().len();
for (key, (start_date, end_date)) in result.iter() {
let new_key = format!("{:0width$}", key, width = max_digits);
string_result.insert(new_key, (start_date.clone(), end_date.clone()));
}
string_result
}
fn get_vec_of_vec_of_dates_from_df(df: DataFrame) -> Result<Vec<Vec<String>>, Box<dyn Error>> {
let rdt = df
.column("real_dates")?
// .clone()
.as_series()
.unwrap()
.list()?
.into_iter()
.filter_map(|opt| opt)
.collect::<Vec<Series>>()
.iter()
.map(|s| {
s.str()
.unwrap()
.into_iter()
.filter_map(|opt| opt.map(|s| s.to_string()))
.collect::<Vec<String>>()
})
.collect::<Vec<Vec<String>>>();
Ok(rdt)
}
#[allow(dead_code)]
fn get_vec_of_vec_of_naivedates_from_df(
df: DataFrame,
) -> Result<Vec<Vec<NaiveDate>>, Box<dyn Error>> {
let rdt = df
.column("real_dates")?
// .clone()
.as_series()
.unwrap()
.list()?
.into_iter()
.filter_map(|opt| opt)
.collect::<Vec<Series>>()
.iter()
.map(|s| {
s.date()
.unwrap()
.into_iter()
.filter_map(|opt| opt.and_then(|date| NaiveDate::from_num_days_from_ce_opt(date)))
.collect::<Vec<NaiveDate>>()
})
.collect::<Vec<Vec<NaiveDate>>>();
Ok(rdt)
}
// fn get_vec_of_vec_of_dates_from_df(df: DataFrame) -> Result<Vec<Vec<String>>, Box<dyn Error>> {
// let real_dates_column = df.column("real_dates")?.clone();
// let series = real_dates_column.as_series().unwrap().clone();
// let rdt = series.list()?.clone();
// let rdt = rdt
// .into_iter()
// .filter_map(|opt| opt)
// .collect::<Vec<Series>>();
// let rdt = rdt
// .iter()
// .map(|s| {
// s.str()
// .unwrap()
// .into_iter()
// .filter_map(|opt| opt.map(|s| s.to_string()))
// .collect::<Vec<String>>()
// })
// .collect::<Vec<Vec<String>>>();
// Ok(rdt)
// }
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_convert_dates_list_to_date_ranges() {
let all_dates = vec![
"2023-01-01".to_string(),
"2023-01-02".to_string(),
"2023-01-03".to_string(),
"2023-01-04".to_string(),
"2023-01-05".to_string(),
"2023-01-06".to_string(),
];
let blacklist = vec![
"2023-01-02".to_string(),
"2023-01-03".to_string(),
"2023-01-05".to_string(),
];
let result = convert_dates_list_to_date_ranges(blacklist, all_dates);
// Expect two ranges:
// range 0 => ("2023-01-02", "2023-01-03")
// range 1 => ("2023-01-05", "2023-01-05")
assert_eq!(result["0"], ("2023-01-02".to_string(), "2023-01-03".to_string()));
assert_eq!(result["1"], ("2023-01-05".to_string(), "2023-01-05".to_string()));
}
}