Terminal / agents /context_manager.py
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"""
context_manager.py — Intelligent Context Management (S364)
Implementa il "Project Skeleton" approach:
- Skeleton aggiornato (nomi file + firme funzioni) sempre disponibile
- Full content solo per file attivamente modificati
- File "cold" riepilogatati con CONTEXT role (Groq-8b-instant)
Risolve il "lost in the middle" problem su sessioni lunghe.
Design: stateless per request, tutto I/O fire-and-forget, mai blocca il loop
S752-A: aggiunta rank_files_by_relevance() — top-K selezione per rilevanza goal.
FIX-SKEL-RAG: symbol matching + fuzzy prefix + zero-score filter + path weight 2.0.
FIX-SYN-EXPAND: synonym expansion IT/EN per copertura semantica senza embeddings.
"""
from __future__ import annotations
import asyncio
import hashlib
import re
import logging
from typing import Any
_logger = logging.getLogger("agente_ai.context_manager")
_FUNC_RE = re.compile(
r'^(?:export\s+)?(?:async\s+)?(?:function\s+(\w+)|const\s+(\w+)\s*=\s*(?:async\s*)?\()',
re.MULTILINE)
_CLASS_RE = re.compile(r'^(?:export\s+)?class\s+(\w+)', re.MULTILINE)
_PY_DEF_RE = re.compile(r'^(?: )?(?:async\s+)?def\s+(\w+)\s*\(', re.MULTILINE)
_PY_CLS_RE = re.compile(r'^class\s+(\w+)', re.MULTILINE)
_SUMMARY_CACHE: dict[str, str] = {}
_MAX_SUMMARY_CACHE = 200
# ── S752-A: stopword set per rank_files_by_relevance ──────────────────────────
_RANK_STOP_IT = {
'il','lo','la','i','gli','le','di','del','della','dei','delle',
'in','un','una','uno','che','con','per','non','da','si','su','al',
'ci','e','a','tra','fra','ma','o','se','ne','ad','ho','ha','è',
}
_RANK_STOP_EN = {
'the','a','an','in','on','at','to','for','of','and','or','is',
'are','was','be','this','that','it','with','as','by','from','about',
'can','will','have','has','had','do','does','did','not','but','if',
}
_RANK_STOP = _RANK_STOP_IT | _RANK_STOP_EN
# Entry-point / config files ottengono un piccolo boost di rilevanza
_RANK_ENTRY_STEMS = {'main', 'index', 'app', '__init__', 'config', 'settings', 'routes'}
# ── FIX-SKEL-RAG: helper per fuzzy prefix matching ────────────────────────────
_CAMEL_SPLIT_RE = re.compile(r'([a-z])([A-Z])')
# ── FIX-SYN-EXPAND: tabella sinonimi tecnici IT↔EN (15 cluster) ───────────────
_SYN_CLUSTERS: list[frozenset[str]] = [
frozenset({'auth', 'autenticazione', 'authentication', 'login', 'signin',
'guard', 'middleware', 'jwt', 'token', 'session', 'oauth',
'passport', 'credential', 'permission', 'role', 'accesso'}),
frozenset({'payment', 'pagamento', 'stripe', 'checkout', 'invoice',
'billing', 'subscription', 'abbonamento', 'fattura', 'webhook',
'price', 'plan', 'tier'}),
frozenset({'database', 'db', 'schema', 'model', 'migration', 'migrazione',
'orm', 'repository', 'query', 'drizzle', 'prisma', 'postgres',
'sqlite', 'mysql', 'table', 'tabella', 'record'}),
frozenset({'api', 'endpoint', 'route', 'rotta', 'router', 'server',
'request', 'response', 'richiesta', 'risposta', 'http',
'rest', 'graphql', 'fetch', 'axios', 'client'}),
frozenset({'component', 'componente', 'ui', 'interface', 'interfaccia',
'button', 'form', 'modal', 'layout', 'page', 'pagina',
'style', 'css', 'theme', 'tema', 'render', 'view'}),
frozenset({'state', 'stato', 'store', 'redux', 'zustand', 'context',
'provider', 'hook', 'reducer', 'action', 'dispatch',
'observable', 'signal', 'reactive'}),
frozenset({'file', 'upload', 'caricamento', 'storage', 'bucket',
'download', 'attachment', 'allegato', 'blob', 'stream',
'filesystem', 'directory', 'path', 'percorso'}),
frozenset({'test', 'testing', 'spec', 'unit', 'integration', 'e2e',
'mock', 'stub', 'fixture', 'assert', 'expect', 'coverage',
'vitest', 'jest', 'pytest'}),
frozenset({'build', 'deploy', 'deployment', 'bundle', 'webpack', 'vite',
'esbuild', 'compile', 'dist', 'production', 'staging',
'pipeline', 'ci', 'cd', 'docker', 'container'}),
frozenset({'email', 'mail', 'smtp', 'notification', 'notifica', 'alert',
'push', 'telegram', 'slack', 'webhook', 'message', 'messaggio',
'sendgrid', 'resend', 'mailer'}),
frozenset({'ai', 'llm', 'model', 'prompt', 'embedding', 'rag',
'vector', 'semantic', 'chat', 'completion', 'inference',
'openai', 'gemini', 'groq', 'anthropic', 'agent', 'agente'}),
frozenset({'error', 'errore', 'exception', 'eccezione', 'bug', 'fix',
'debug', 'log', 'logging', 'trace', 'stack', 'crash',
'fallback', 'retry', 'recover', 'handler', 'catch'}),
frozenset({'config', 'configurazione', 'configuration', 'settings',
'impostazioni', 'env', 'environment', 'variable', 'variabile',
'secret', 'segreto', 'dotenv', 'constant', 'costante'}),
frozenset({'cache', 'performance', 'performanza', 'speed', 'velocità',
'optimize', 'ottimizzazione', 'lazy', 'memo', 'debounce',
'throttle', 'batch', 'compress', 'compressione'}),
frozenset({'validation', 'validazione', 'validate', 'sanitize',
'sanitizzazione', 'schema', 'zod', 'yup', 'joi',
'csrf', 'xss', 'injection', 'escape', 'secure'}),
frozenset({'metrics', 'metric', 'monitoring', 'monitoraggio', 'observability',
'prometheus', 'grafana', 'dashboard', 'telemetry', 'telemetria',
'tracing', 'trace', 'health', 'healthcheck', 'uptime', 'alerting',
'datadog', 'sentry', 'newrelic', 'audit', 'report'}),
frozenset({'cron', 'scheduler', 'pianificatore', 'schedule', 'queue', 'coda',
'worker', 'job', 'background', 'celery', 'bull', 'bullmq',
'agenda', 'delayed', 'periodic', 'retry', 'backoff', 'redis',
'task', 'processo', 'process', 'daemon'}),
frozenset({'websocket', 'ws', 'socket', 'socketio', 'realtime', 'real_time',
'sse', 'server_sent', 'pubsub', 'publish', 'subscribe', 'broadcast',
'channel', 'canale', 'room', 'event', 'listener', 'emitter',
'live', 'push', 'poll', 'long_polling', 'signalr', 'liveview'}),
]
_SYN_INDEX: dict[str, frozenset[str]] = {}
for _cluster in _SYN_CLUSTERS:
for _term in _cluster:
_SYN_INDEX[_term] = _cluster
def _expand_tokens(tokens: list[str]) -> list[str]:
try:
seen: set[str] = set(tokens)
expanded = list(tokens)
for t in tokens:
cluster = _SYN_INDEX.get(t)
if cluster:
for syn in cluster:
if syn not in seen and len(syn) >= 3 and syn not in _RANK_STOP:
seen.add(syn)
expanded.append(syn)
return expanded
except Exception as e:
_logger.debug("[context_manager] _expand_tokens failed: %s", e)
return tokens
def _split_camel_snake(text: str) -> list[str]:
try:
snake = _CAMEL_SPLIT_RE.sub(r'\1_\2', text)
parts = re.split(r'[_\-./]', snake)
return [p.lower() for p in parts if len(p) >= 3]
except Exception as e:
_logger.debug("[context_manager] _split_camel_snake failed: %s", e)
return []
def rank_files_by_relevance(
goal: str,
all_files: list[dict[str, Any]],
k: int = 5,
min_score: float = 0.0,
) -> list[str]:
if not all_files or not goal:
return []
try:
base_tokens = [
t.lower()
for t in re.findall(r'\b\w{3,}\b', goal[:500])
if t.lower() not in _RANK_STOP
]
if not base_tokens:
return [f.get('path', '') for f in all_files[:k] if f.get('path')]
tokens = _expand_tokens(base_tokens)
goal_lower = goal.lower()
n = max(len(base_tokens), 1)
scores: list[tuple[float, str]] = []
for f in all_files:
path = f.get('path', '') or ''
content = (f.get('content', '') or '')[:600]
lang = (f.get('language', '') or '').lower()
if not path:
continue
path_lower = path.lower()
content_lower = content.lower()
sigs = _extract_signatures(content, lang)
symbols_lower = ' '.join(s.split(':', 1)[-1].lower() for s in sigs)
path_hits = sum(1 for t in tokens if t in path_lower)
symbol_hits = sum(1 for t in tokens if t in symbols_lower)
content_hits = sum(1 for t in tokens if t in content_lower)
score = (path_hits * 2.0 + symbol_hits * 1.5 + content_hits) / n
filename_stem = re.sub(r'\.[^.]+$', '', path_lower.rsplit('/', 1)[-1])
split_path = _split_camel_snake(filename_stem)
split_syms = [t for s in sigs for t in _split_camel_snake(s.split(':', 1)[-1])]
all_split = split_path + split_syms
prefix_hits = sum(
1 for gt in base_tokens
for st in all_split
if st != gt and st.startswith(gt)
)
if prefix_hits:
score += (prefix_hits * 0.4) / n
if filename_stem in _RANK_ENTRY_STEMS:
score += 0.15
if lang and lang in goal_lower:
score += 0.20
if score > min_score:
scores.append((score, path))
scores.sort(key=lambda x: (-x[0], x[1]))
return [p for _, p in scores[:k] if p]
except Exception as e:
_logger.error("[context_manager] rank_files_by_relevance critical failure: %s", e)
return [f.get('path', '') for f in all_files[:k] if f.get('path')]
def _extract_signatures(content: str, language: str) -> list[str]:
try:
lang = (language or '').lower()
sigs: list[str] = []
if lang in ('typescript', 'ts', 'tsx', 'javascript', 'js', 'jsx'):
for m in _FUNC_RE.finditer(content):
name = m.group(1) or m.group(2)
if name:
sigs.append(f'fn:{name}')
for m in _CLASS_RE.finditer(content):
sigs.append(f'class:{m.group(1)}')
elif lang in ('python', 'py'):
for m in _PY_DEF_RE.finditer(content):
sigs.append(f'def:{m.group(1)}')
for m in _PY_CLS_RE.finditer(content):
sigs.append(f'class:{m.group(1)}')
return sigs[:15]
except Exception as e:
_logger.debug("[context_manager] _extract_signatures failed: %s", e)
return []
def build_file_skeleton(path: str, content: str, language: str) -> str:
sigs = _extract_signatures(content, language)
line_count = content.count('\n') + 1
sigs_str = ', '.join(sigs[:8]) if sigs else '(no symbols)'
return f' {path} ({line_count}L): {sigs_str}'
async def build_project_skeleton(files: list[dict[str, Any]]) -> str:
if not files:
return ''
try:
lines = [f'\U0001f4c1 PROJECT SKELETON ({len(files)} files):']
for f in sorted(files, key=lambda x: x.get('path', '')):
path = f.get('path', '?')
content = f.get('content', '') or ''
language = f.get('language', '') or ''
lines.append(build_file_skeleton(path, content, language))
return '\n'.join(lines)
except Exception as e:
_logger.error("[context_manager] build_project_skeleton failed: %s", e)
return ""