agentsight_capture/
text.rs1use serde_json::Value;
5
6pub fn sanitize_ascii_identifier(value: &str) -> String {
7 value
8 .chars()
9 .map(|c| if c.is_ascii_alphanumeric() { c } else { '-' })
10 .collect()
11}
12
13pub fn truncate_text(text: &str, max: usize) -> String {
14 if text.chars().count() <= max {
15 text.to_string()
16 } else {
17 text.chars().take(max.saturating_sub(1)).collect()
18 }
19}
20
21pub fn truncate_with_ellipsis(text: &str, max: usize) -> String {
22 if text.chars().count() <= max {
23 text.to_string()
24 } else {
25 format!(
26 "{}...",
27 text.chars().take(max.saturating_sub(3)).collect::<String>()
28 )
29 }
30}
31
32pub fn clean_prompt_text(text: &str) -> Option<String> {
33 let text = text.split_whitespace().collect::<Vec<_>>().join(" ");
34 let text = text
35 .strip_prefix("<session>")
36 .and_then(|text| text.strip_suffix("</session>"))
37 .unwrap_or(&text)
38 .trim();
39 (!text.is_empty()).then(|| text.to_string())
40}
41
42pub fn extract_prompt_text(value: &Value) -> Option<String> {
43 if let Some(prompt) = value.get("prompt").and_then(Value::as_str) {
44 return clean_prompt_text(prompt);
45 }
46 let mut parts = Vec::new();
47 for key in ["messages", "contents", "input"] {
48 if let Some(items) = value.get(key).and_then(Value::as_array) {
49 for item in items {
50 collect_content_text(item.get("content").unwrap_or(item), &mut parts);
51 }
52 }
53 }
54 clean_prompt_text(&parts.join(" "))
55}
56
57fn collect_content_text(value: &Value, out: &mut Vec<String>) {
58 match value {
59 Value::String(text) => out.push(text.clone()),
60 Value::Array(items) => items
61 .iter()
62 .for_each(|item| collect_content_text(item, out)),
63 Value::Object(obj) => {
64 for key in ["text", "content", "parts"] {
65 if let Some(value) = obj.get(key) {
66 collect_content_text(value, out);
67 }
68 }
69 }
70 _ => {}
71 }
72}
73
74#[cfg(test)]
75mod tests {
76 use super::extract_prompt_text;
77 use serde_json::json;
78
79 #[test]
80 fn extracts_openai_responses_input_text() {
81 let request = json!({
82 "model": "gpt-agentsight-mock",
83 "input": [
84 {
85 "role": "user",
86 "content": [
87 {"type": "input_text", "text": "agentsight mock prompt collect this exact text"}
88 ]
89 }
90 ]
91 });
92
93 assert_eq!(
94 extract_prompt_text(&request).as_deref(),
95 Some("agentsight mock prompt collect this exact text")
96 );
97 }
98}