eval_magic/pipeline/grade/
finalize.rs1use std::fs;
11
12use serde::Deserialize;
13
14use crate::adapters::adapter_for;
15use crate::core::{
16 Assertion, AssertionResult, Grader, GradingResult, GradingSummary, MetaSummary, RunRecord,
17 SKILL_INVOKED_META_ID, ToolInvocation,
18};
19use crate::pipeline::DiffScopeMetrics;
20use crate::pipeline::error::PipelineError;
21use crate::pipeline::io::write_json;
22use crate::pipeline::slots::run_slots;
23use crate::validation::{SchemaName, validate_against_schema};
24
25use super::GradeContext;
26use super::command_check::CommandCheckResult;
27use super::diff_scope::grade_diff_scope;
28use super::transcript_check::grade_transcript_check_with_context;
29
30#[derive(Debug, Default, Clone, Copy)]
32pub struct FinalizeSummary {
33 pub total_graded: usize,
34 pub total_meta_graded: usize,
35 pub total_unverifiable: usize,
36 pub meta_failures: usize,
37}
38
39#[derive(Debug, Deserialize)]
42struct JudgeResponse {
43 #[serde(default)]
44 passed: bool,
45 #[serde(default)]
46 evidence: Option<String>,
47 #[serde(default)]
48 confidence: Option<f64>,
49 #[serde(default)]
50 grader: Option<Grader>,
51}
52
53pub fn finalize(ctx: &GradeContext) -> Result<FinalizeSummary, PipelineError> {
56 let conds: Vec<(String, Option<String>)> = ctx
57 .conditions
58 .conditions
59 .iter()
60 .map(|c| (c.name.clone(), c.skill_path.clone()))
61 .collect();
62
63 let mut summary = FinalizeSummary::default();
64 let transcript_vocabulary = ctx
65 .conditions
66 .harness
67 .map(|harness| adapter_for(harness).tool_vocabulary())
68 .unwrap_or_default();
69
70 for ev in &ctx.evals.evals {
71 let assertions = ev.assertions.as_deref().unwrap_or(&[]);
72 let has_assertions = !assertions.is_empty();
73
74 for (cond, cond_skill_path) in &conds {
75 let cond_dir = ctx.iteration_dir.join(format!("eval-{}", ev.id)).join(cond);
76 if !cond_dir.exists() {
77 continue;
78 }
79 for slot in run_slots(&cond_dir) {
80 let judge_responses_dir = slot.dir.join("judge-responses");
81 let grading_path = slot.dir.join("grading.json");
82
83 let run_record_path = slot.dir.join("run.json");
84 let run_record: Option<RunRecord> = if run_record_path.exists() {
85 Some(validate_against_schema(
86 SchemaName::RunRecord,
87 &serde_json::from_str(&fs::read_to_string(&run_record_path)?)?,
88 &run_record_path.to_string_lossy(),
89 )?)
90 } else {
91 None
92 };
93
94 let mut assertion_results: Vec<AssertionResult> = Vec::new();
95 if has_assertions {
96 for assertion in assertions {
97 match assertion {
98 Assertion::TranscriptCheck(tc) => {
99 let invocations: &[ToolInvocation] = run_record
100 .as_ref()
101 .map(|r| r.tool_invocations.as_slice())
102 .unwrap_or(&[]);
103 let conversation = run_record
104 .as_ref()
105 .and_then(|run| run.conversation.as_ref());
106 assertion_results.push(grade_transcript_check_with_context(
107 tc,
108 invocations,
109 conversation,
110 &transcript_vocabulary,
111 ));
112 let unverifiable = match tc.check.as_str() {
113 "assistant_message_matches" => conversation.is_none(),
114 _ => invocations.is_empty(),
115 };
116 if unverifiable {
117 summary.total_unverifiable += 1;
118 } else {
119 summary.total_graded += 1;
120 }
121 }
122 Assertion::LlmJudge(j) => {
123 let response_path =
124 judge_responses_dir.join(format!("{}.json", j.id));
125 if !response_path.exists() {
126 eprintln!(
127 "warn: missing judge response: {} (assertion will be FAIL)",
128 response_path.display()
129 );
130 assertion_results.push(AssertionResult {
131 id: j.id.clone(),
132 passed: false,
133 evidence: format!(
134 "judge response missing at {}",
135 response_path.display()
136 ),
137 confidence: Some(0.0),
138 grader: Some(Grader::LlmJudge),
139 });
140 continue;
141 }
142 let response: JudgeResponse =
143 serde_json::from_str(&fs::read_to_string(&response_path)?)?;
144 assertion_results.push(AssertionResult {
145 id: j.id.clone(),
146 passed: response.passed,
147 evidence: response.evidence.unwrap_or_default(),
148 confidence: Some(response.confidence.unwrap_or(0.0)),
149 grader: Some(Grader::LlmJudge),
150 });
151 summary.total_graded += 1;
152 }
153 Assertion::CommandCheck(check) => {
154 let result_path = slot
155 .dir
156 .join("command-checks")
157 .join(format!("{}.json", check.id));
158 if !result_path.exists() {
159 return Err(PipelineError::Message(format!(
160 "missing command_check result: {}. Run ingest (or grade without --finalize) before finalize.",
161 result_path.display()
162 )));
163 }
164 let result: CommandCheckResult = validate_against_schema(
165 SchemaName::CommandCheck,
166 &serde_json::from_str(&fs::read_to_string(&result_path)?)?,
167 &result_path.to_string_lossy(),
168 )?;
169 assertion_results.push(AssertionResult {
170 id: check.id.clone(),
171 passed: result.passed,
172 evidence: result.evidence,
173 confidence: Some(1.0),
174 grader: Some(Grader::CommandCheck),
175 });
176 summary.total_graded += 1;
177 }
178 Assertion::DiffScope(check) => {
179 let result_path = slot.dir.join("diff-scope.json");
180 if !result_path.exists() {
181 return Err(PipelineError::Message(format!(
182 "missing diff_scope result: {}. Run ingest before finalize; if this iteration predates diff-scope baselines, rebuild it first.",
183 result_path.display()
184 )));
185 }
186 let metrics: DiffScopeMetrics = validate_against_schema(
187 SchemaName::DiffScope,
188 &serde_json::from_str(&fs::read_to_string(&result_path)?)?,
189 &result_path.to_string_lossy(),
190 )?;
191 assertion_results.push(grade_diff_scope(check, metrics));
192 summary.total_graded += 1;
193 }
194 }
195 }
196 }
197
198 let mut meta_results: Vec<AssertionResult> = Vec::new();
200 if cond_skill_path.is_some() && ev.skill_should_trigger != Some(false) {
201 let response_path =
202 judge_responses_dir.join(format!("{SKILL_INVOKED_META_ID}.json"));
203 if response_path.exists() {
204 let response: JudgeResponse =
205 serde_json::from_str(&fs::read_to_string(&response_path)?)?;
206 let passed = response.passed;
207 meta_results.push(AssertionResult {
208 id: SKILL_INVOKED_META_ID.to_string(),
209 passed,
210 evidence: response.evidence.unwrap_or_default(),
211 confidence: Some(response.confidence.unwrap_or(0.0)),
212 grader: Some(response.grader.unwrap_or(Grader::LlmJudge)),
213 });
214 summary.total_meta_graded += 1;
215 if !passed {
216 summary.meta_failures += 1;
217 }
218 } else {
219 eprintln!(
220 "warn: missing skill-invocation meta response: {}",
221 response_path.display()
222 );
223 meta_results.push(AssertionResult {
224 id: SKILL_INVOKED_META_ID.to_string(),
225 passed: false,
226 evidence: format!(
227 "meta judge response missing at {}",
228 response_path.display()
229 ),
230 confidence: Some(0.0),
231 grader: Some(Grader::LlmJudge),
232 });
233 }
234 }
235
236 let passed = assertion_results.iter().filter(|r| r.passed).count() as u32;
237 let total = assertion_results.len() as u32;
238 let meta_len = meta_results.len() as u32;
239 let meta_passed = meta_results.iter().filter(|r| r.passed).count() as u32;
240 let has_meta = !meta_results.is_empty();
241 let skill_invoked = has_meta.then(|| meta_results.iter().all(|r| r.passed));
242
243 let grading = GradingResult {
244 assertion_results,
245 meta_results: has_meta.then_some(meta_results),
246 summary: GradingSummary {
247 passed,
248 failed: total - passed,
249 total,
250 pass_rate: if total == 0 {
251 0.0
252 } else {
253 f64::from(passed) / f64::from(total)
254 },
255 },
256 meta_summary: has_meta.then_some(MetaSummary {
257 passed: meta_passed,
258 failed: meta_len - meta_passed,
259 total: meta_len,
260 skill_invoked,
261 }),
262 };
263
264 validate_against_schema::<serde_json::Value>(
265 SchemaName::Grading,
266 &serde_json::to_value(&grading)?,
267 &grading_path.to_string_lossy(),
268 )?;
269 write_json(&grading_path, &grading)?;
270 }
271 }
272 }
273
274 Ok(summary)
275}