1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
//! Cypher scalar functions — timeseries category. Split out of the monolithic
//! `evaluate_scalar_function` dispatcher; arms are verbatim. Routed from
//! `super::evaluate_scalar_function`; returns `Ok(None)` when `name` is not
//! one of this category's functions so the dispatcher tries the next.
use super::super::*;
use crate::datatypes::values::Value;
impl<'a> CypherExecutor<'a> {
pub(super) fn eval_timeseries_fn(
&self,
name: &str,
args: &[Expression],
row: &ResultRow,
) -> Result<Option<Value>, String> {
let result: Result<Value, String> = match name {
"ts_at" => {
if args.len() != 2 {
return Err("ts_at() requires 2 arguments: (n.channel, '2020-2')".into());
}
let (ts, channel, _config) = self.resolve_timeseries_channel(&args[0], row)?;
let date_arg = self.resolve_ts_date_arg(&args[1], row)?;
match date_arg {
Some((date, _prec)) => {
match crate::graph::features::timeseries::find_key_index(&ts.keys, date) {
Some(idx) => {
let v = channel[idx];
if v.is_finite() {
Ok(Value::Float64(v))
} else {
Ok(Value::Null)
}
}
None => Ok(Value::Null),
}
}
None => Ok(Value::Null), // null date → null
}
}
"ts_sum" | "ts_avg" | "ts_min" | "ts_max" | "ts_count" => {
if args.is_empty() || args.len() > 3 {
return Err(format!(
"{}() requires 1-3 arguments: (n.channel [, 'start'] [, 'end'])",
name
));
}
let (ts, channel, _config) = self.resolve_timeseries_channel(&args[0], row)?;
let (lo, hi) = self.resolve_ts_range(ts, &args[1..], row)?;
let slice = &channel[lo..hi];
match name {
"ts_sum" => Ok(Value::Float64(crate::graph::features::timeseries::ts_sum(
slice,
))),
"ts_avg" => {
let v = crate::graph::features::timeseries::ts_avg(slice);
if v.is_nan() {
Ok(Value::Null)
} else {
Ok(Value::Float64(v))
}
}
"ts_min" => {
let v = crate::graph::features::timeseries::ts_min(slice);
if v.is_infinite() {
Ok(Value::Null)
} else {
Ok(Value::Float64(v))
}
}
"ts_max" => {
let v = crate::graph::features::timeseries::ts_max(slice);
if v.is_infinite() {
Ok(Value::Null)
} else {
Ok(Value::Float64(v))
}
}
"ts_count" => Ok(Value::Int64(crate::graph::features::timeseries::ts_count(
slice,
) as i64)),
_ => unreachable!(),
}
}
"ts_first" => {
if args.len() != 1 {
return Err("ts_first() requires 1 argument: (n.channel)".into());
}
let (_, channel, _) = self.resolve_timeseries_channel(&args[0], row)?;
match channel.iter().find(|v| v.is_finite()) {
Some(&v) => Ok(Value::Float64(v)),
None => Ok(Value::Null),
}
}
"ts_last" => {
if args.len() != 1 {
return Err("ts_last() requires 1 argument: (n.channel)".into());
}
let (_, channel, _) = self.resolve_timeseries_channel(&args[0], row)?;
match channel.iter().rev().find(|v| v.is_finite()) {
Some(&v) => Ok(Value::Float64(v)),
None => Ok(Value::Null),
}
}
"ts_delta" => {
if args.len() != 3 {
return Err(
"ts_delta() requires 3 arguments: (n.channel, '2019-12', '2021-1')".into(),
);
}
let (ts, channel, _config) = self.resolve_timeseries_channel(&args[0], row)?;
let a1 = self.resolve_ts_date_arg(&args[1], row)?;
let a2 = self.resolve_ts_date_arg(&args[2], row)?;
let v1 = a1.and_then(|(date, prec)| {
let end = crate::graph::features::timeseries::expand_end(date, prec);
let (lo, hi) = crate::graph::features::timeseries::find_range(
&ts.keys,
Some(date),
Some(end),
);
if lo < hi { Some(channel[lo]) } else { None }.filter(|v| v.is_finite())
});
let v2 = a2.and_then(|(date, prec)| {
let end = crate::graph::features::timeseries::expand_end(date, prec);
let (lo, hi) = crate::graph::features::timeseries::find_range(
&ts.keys,
Some(date),
Some(end),
);
if lo < hi { Some(channel[lo]) } else { None }.filter(|v| v.is_finite())
});
match (v1, v2) {
(Some(a), Some(b)) => Ok(Value::Float64(b - a)),
_ => Ok(Value::Null),
}
}
"ts_series" => {
// Phase A.1 / C4 — native Value::List of Value::Map.
// Each entry: {"time": <date-str>, "value": <float|null>}.
if args.is_empty() || args.len() > 3 {
return Err(
"ts_series() requires 1-3 arguments: (n.channel [, 'start'] [, 'end'])"
.into(),
);
}
let (ts, channel, _config) = self.resolve_timeseries_channel(&args[0], row)?;
let (lo, hi) = self.resolve_ts_range(ts, &args[1..], row)?;
let mut entries: Vec<Value> = Vec::with_capacity(hi - lo);
for (date, &val) in ts.keys[lo..hi].iter().zip(&channel[lo..hi]) {
let entry = crate::datatypes::PropMap::from_iter([
("time", Value::String(date.to_string())),
(
"value",
if val.is_finite() {
Value::Float64(val)
} else {
Value::Null
},
),
]);
entries.push(Value::Map(entry));
}
Ok(Value::List(entries))
}
// ── List functions ────────────────────────────────────
_ => return Ok(None),
};
result.map(Some)
}
}