File size: 9,964 Bytes
c2c8c8d | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 | import { EventEmitter } from 'events';
import {
AgentType, AgentResult, AgentProgressEvent, Finding, FullReviewResult,
QuickReviewResult, PRFixSet, FileChange, AgentOptions,
SEVERITY_ORDER, estimateTokens, ALL_AGENTS,
} from '@glmpilot/shared';
import { SecurityAgent } from './security.agent.js';
import { PerformanceAgent } from './performance.agent.js';
import { StyleAgent } from './style.agent.js';
import { DocumentationAgent } from './documentation.agent.js';
import { BaseAgent } from './base.agent.js';
import { glm } from '../services/glm-client.js';
import { logger } from '../utils/logger.js';
export class AgentOrchestrator extends EventEmitter {
private agents: Map<AgentType, BaseAgent>;
constructor() {
super();
this.agents = new Map<AgentType, BaseAgent>([
['security', new SecurityAgent()],
['performance', new PerformanceAgent()],
['style', new StyleAgent()],
['documentation', new DocumentationAgent()],
]);
}
async reviewCodebase(
files: Map<string, string>,
options?: { agents?: AgentType[]; mode?: 'full' | 'quick' }
): Promise<FullReviewResult> {
const startTime = Date.now();
const selectedAgents = options?.agents || (ALL_AGENTS as unknown as AgentType[]);
const totalFiles = files.size;
// Chunk files if too large
const batches = this.chunkFiles(files);
const allResults: Map<AgentType, AgentResult[]> = new Map();
for (let batchIndex = 0; batchIndex < batches.length; batchIndex++) {
const batch = batches[batchIndex];
// Run all selected agents in parallel per batch
const promises = selectedAgents.map(async (agentType) => {
const agent = this.agents.get(agentType);
if (!agent) return null;
this.emitProgress(agentType, 'started', 0, totalFiles, batchIndex, batches.length);
try {
this.emitProgress(agentType, 'analyzing', batch.size, totalFiles, batchIndex, batches.length);
const agentOptions: AgentOptions = options?.mode === 'quick' ? { quickMode: true, maxTokens: 4096 } : {};
const result = await agent.analyze(batch, agentOptions);
this.emitProgress(agentType, 'complete', batch.size, totalFiles, batchIndex, batches.length);
return { agentType, result };
} catch (error) {
logger.error(`Agent ${agentType} failed`, { error: (error as Error).message });
this.emitProgress(agentType, 'error', 0, totalFiles, batchIndex, batches.length);
return {
agentType,
result: {
agent: agentType,
findings: [],
summary: { critical: 0, high: 0, medium: 0, low: 0 },
overallRiskScore: 0,
executionTimeMs: 0,
error: (error as Error).message,
} as AgentResult,
};
}
});
const results = await Promise.allSettled(promises);
for (const settled of results) {
if (settled.status === 'fulfilled' && settled.value) {
const { agentType, result } = settled.value;
if (!allResults.has(agentType)) allResults.set(agentType, []);
allResults.get(agentType)!.push(result);
}
}
}
// Merge results across batches
const agentResults: Record<string, AgentResult> = {} as Record<AgentType, AgentResult>;
const overallScores: Record<string, number> = {} as Record<AgentType, number>;
let mergedFindings: Finding[] = [];
let totalTokens = 0;
for (const [agentType, batchResults] of allResults) {
const merged = this.mergeAgentResults(agentType, batchResults);
agentResults[agentType] = merged;
overallScores[agentType] = merged.overallRiskScore;
mergedFindings.push(...merged.findings);
totalTokens += merged.tokensUsed || 0;
}
// Deduplicate findings
mergedFindings = this.deduplicateFindings(mergedFindings);
// Sort by severity
mergedFindings.sort((a, b) => (SEVERITY_ORDER[a.severity] || 99) - (SEVERITY_ORDER[b.severity] || 99));
// Calculate aggregate score
const scores = Object.values(overallScores);
overallScores['aggregate'] = scores.length > 0 ? Math.round(scores.reduce((a, b) => a + b, 0) / scores.length) : 0;
return {
agentResults: agentResults as Record<AgentType, AgentResult>,
mergedFindings,
overallScores: overallScores as Record<AgentType, number> & { aggregate: number },
metadata: {
totalFiles,
totalTokensUsed: totalTokens,
executionTimeMs: Date.now() - startTime,
timestamp: new Date().toISOString(),
},
};
}
async reviewSingleFile(filePath: string, content: string): Promise<QuickReviewResult> {
const files = new Map([[filePath, content]]);
const agents: AgentType[] = ['security', 'performance', 'style'];
const results = await Promise.allSettled(
agents.map(async (agentType) => {
const agent = this.agents.get(agentType);
if (!agent) return null;
return agent.analyze(files, { quickMode: true, maxTokens: 4096 });
})
);
let allFindings: Finding[] = [];
for (const result of results) {
if (result.status === 'fulfilled' && result.value) {
allFindings.push(...result.value.findings);
}
}
allFindings.sort((a, b) => (SEVERITY_ORDER[a.severity] || 99) - (SEVERITY_ORDER[b.severity] || 99));
return {
findings: allFindings,
summary: {
critical: allFindings.filter(f => f.severity === 'critical').length,
high: allFindings.filter(f => f.severity === 'high').length,
medium: allFindings.filter(f => f.severity === 'medium').length,
low: allFindings.filter(f => f.severity === 'low').length,
},
filePath,
};
}
async generatePRFixes(findings: Finding[]): Promise<PRFixSet> {
const topFindings = findings
.sort((a, b) => (SEVERITY_ORDER[a.severity] || 99) - (SEVERITY_ORDER[b.severity] || 99))
.slice(0, 20);
const prompt = `You are a code fixing assistant. Given these code review findings with their current code and suggested fixes, generate a unified set of file changes.
Findings:
${JSON.stringify(topFindings, null, 2)}
Respond with valid JSON:
{
"fileChanges": [{ "path": "file.tsx", "originalContent": "...", "fixedContent": "..." }],
"commitMessage": "fix: ...",
"prTitle": "...",
"prBody": "..."
}`;
const response = await glm.chat(
[{ role: 'system', content: 'You are a precise code fixing assistant.' }, { role: 'user', content: prompt }],
{ temperature: 0.2 }
);
const parsed = JSON.parse(response.choices[0]?.message?.content || '{}');
return {
branchName: `glmpilot/fix-${Date.now()}`,
commitMessage: parsed.commitMessage || 'fix: apply code review fixes',
prTitle: parsed.prTitle || 'GLMPilot: Code Review Fixes',
prBody: parsed.prBody || 'Automated fixes from GLMPilot code review.',
fileChanges: parsed.fileChanges || [],
};
}
private chunkFiles(files: Map<string, string>): Map<string, string>[] {
const concatenated = Array.from(files.values()).join('');
const totalTokens = estimateTokens(concatenated);
if (totalTokens <= 30000) return [files];
// Group by directory
const groups = new Map<string, Map<string, string>>();
for (const [path, content] of files) {
const dir = path.split('/').slice(0, -1).join('/') || '/';
if (!groups.has(dir)) groups.set(dir, new Map());
groups.get(dir)!.set(path, content);
}
// Merge small groups into batches under 30k tokens
const batches: Map<string, string>[] = [];
let currentBatch = new Map<string, string>();
let currentTokens = 0;
for (const [, groupFiles] of groups) {
const groupContent = Array.from(groupFiles.values()).join('');
const groupTokens = estimateTokens(groupContent);
if (currentTokens + groupTokens > 30000 && currentBatch.size > 0) {
batches.push(currentBatch);
currentBatch = new Map();
currentTokens = 0;
}
for (const [path, content] of groupFiles) {
currentBatch.set(path, content);
}
currentTokens += groupTokens;
}
if (currentBatch.size > 0) batches.push(currentBatch);
return batches;
}
private mergeAgentResults(agentType: AgentType, results: AgentResult[]): AgentResult {
const findings: Finding[] = [];
let totalTime = 0;
let totalTokens = 0;
for (const r of results) {
findings.push(...r.findings);
totalTime += r.executionTimeMs;
totalTokens += r.tokensUsed || 0;
}
const summary = {
critical: findings.filter(f => f.severity === 'critical').length,
high: findings.filter(f => f.severity === 'high').length,
medium: findings.filter(f => f.severity === 'medium').length,
low: findings.filter(f => f.severity === 'low').length,
};
const riskScores = results.map(r => r.overallRiskScore).filter(s => s > 0);
const avgRisk = riskScores.length > 0 ? Math.round(riskScores.reduce((a, b) => a + b, 0) / riskScores.length) : 0;
return { agent: agentType, findings, summary, overallRiskScore: avgRisk, executionTimeMs: totalTime, tokensUsed: totalTokens };
}
private deduplicateFindings(findings: Finding[]): Finding[] {
const seen = new Set<string>();
return findings.filter((f) => {
const key = `${f.file}:${f.lineStart}-${f.lineEnd}:${f.category}`;
if (seen.has(key)) return false;
seen.add(key);
return true;
});
}
private emitProgress(agent: string, status: AgentProgressEvent['status'], filesProcessed: number, totalFiles: number, batchIndex: number, totalBatches: number) {
const event: AgentProgressEvent = { agent, status, filesProcessed, totalFiles, batchIndex, totalBatches };
this.emit('progress', event);
}
}
export const orchestrator = new AgentOrchestrator();
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