Files
ThothII/harness/tht/config.py
T

384 lines
14 KiB
Python

import os
import re
import warnings
from pathlib import Path
from typing import Annotated, Any, Literal
import yaml
from pydantic import BaseModel, Field, SecretStr, model_validator, ValidationError
from tht.config_compat import translate_legacy_config
_ENV_RE = re.compile(r"\$\{([A-Za-z_][A-Za-z0-9_]*)\}")
class ConfigError(Exception):
"""Errore di configurazione, con messaggio leggibile per l'utente."""
def _expand_env(value: Any) -> Any:
if isinstance(value, str):
def repl(m: re.Match) -> str:
var = m.group(1)
if var not in os.environ:
raise ConfigError(
f"Variabile d'ambiente non definita: {var} "
f"(definiscila nel file .env o nell'ambiente)"
)
return os.environ[var]
return _ENV_RE.sub(repl, value)
if isinstance(value, dict):
return {k: _expand_env(v) for k, v in value.items()}
if isinstance(value, list):
return [_expand_env(v) for v in value]
return value
def _resolve_secret_files(value: Any) -> Any:
if isinstance(value, dict):
resolved = {key: _resolve_secret_files(item) for key, item in value.items()}
if "password_file" in resolved:
if "password" in resolved:
raise ConfigError("password and password_file are mutually exclusive")
path = Path(resolved.pop("password_file"))
try:
secret = path.read_text()
except (OSError, UnicodeError) as exc:
raise ConfigError(f"Cannot read secret file: {path}") from exc
if not secret or any(char.isspace() for char in secret) or "\x00" in secret:
raise ConfigError(f"Invalid secret file: {path}")
resolved["password"] = secret
return resolved
if isinstance(value, list):
return [_resolve_secret_files(item) for item in value]
return value
class DatabaseConfig(BaseModel):
host: str = "localhost"
port: int = 5432
database: str
db_schema: str = Field(alias="schema")
user: str
password: str
# transport: `direct` (Postgres via SQLAlchemy) o `rest` (Supabase/PostgREST).
# In `rest` deve esistere la sezione `rest` (validato a livello di Config).
transport: Literal["direct", "rest"] = "direct"
model_config = {"populate_by_name": True}
class RestConfig(BaseModel):
"""Accesso al DWH via Supabase/PostgREST. base_url es. https://host/dwh/ ."""
base_url: str
api_key: str
timeout: int = 30
connect_timeout: int = 5
ssl_ca: str | None = None # path al certificato CA (per server con CA interna)
class DatabaseIdentityConfig(BaseModel):
database: str
db_schema: str = Field(alias="schema")
model_config = {"populate_by_name": True}
class PostgresDwhConfig(BaseModel):
type: Literal["postgres_direct"]
connection: DatabaseConfig
class ThothRestDwhConfig(BaseModel):
type: Literal["thoth_rest"]
database: DatabaseIdentityConfig
endpoint: RestConfig
DwhResourceConfig = Annotated[
PostgresDwhConfig | ThothRestDwhConfig,
Field(discriminator="type"),
]
class PgvectorDirectConfig(BaseModel):
type: Literal["pgvector_direct"]
reader: DatabaseConfig | None = None
writer: DatabaseConfig | None = None
# Deprecated compatibility: a single direct connection historically meant read-only.
connection: DatabaseConfig | None = None
@model_validator(mode="after")
def validate_connections(self):
if self.reader is None and self.writer is None and self.connection is None:
raise ValueError("pgvector_direct requires a reader or writer connection")
return self
class ThothVectorHttpConfig(BaseModel):
type: Literal["thoth_vector_http"]
reader: RestConfig | None = None
writer: RestConfig | None = None
# Transitional direct loading path used by the server profile.
direct: DatabaseConfig | None = None
VectorResourceConfig = Annotated[
PgvectorDirectConfig | ThothVectorHttpConfig,
Field(discriminator="type"),
]
class PathsConfig(BaseModel):
artifacts: Path = Path("artifacts")
indexes: Path = Path("indexes")
sessions: Path = Path("sessions")
class WorkspaceRoots(PathsConfig):
pass
class ExamplesConfig(BaseModel):
max_per_column: int = 10
class LshSkipConfig(BaseModel):
# DEPRECATO: l'euristica di lunghezza (skip_column vendored) non è più usata. La
# selezione delle colonne da indicizzare segue il principio di column eligibility
# (sezione `eligibility`). Mantenuto solo per compatibilità con tht.yaml esistenti.
max_total_chars: int = 50000
max_avg_length: int = 20
class LshConfig(BaseModel):
signature_size: int = 64
n_gram: int = 3
threshold: float = 0.5
max_values_per_column: int = 1000
skip: LshSkipConfig = LshSkipConfig()
class EligibilityConfig(BaseModel):
# Soglie del principio di column eligibility (testo ampio ignorato ovunque).
max_declared_len: int = 128 # char/varchar dichiarati <= soglia: eligible senza campionare
max_avg_length: int = 40 # fallback data-driven: lunghezza media valori campionati
max_sampled_len: int = 200 # fallback data-driven: lunghezza massima valore campionato
# Colonne di servizio sempre ignorate per nome (match case-insensitive), a prescindere
# dal tipo: metadati ETL/audit non analitici (es. timestamp di ultimo aggiornamento).
ignore_columns: list[str] = ["etl_last_update"]
class FilesystemEvidenceSourceConfig(BaseModel):
type: Literal["filesystem"]
root: Path
patterns: list[str] = ["**/*.md"]
max_bytes: int = Field(default=10 * 1024 * 1024, gt=0)
class HttpEvidenceSourceConfig(BaseModel):
type: Literal["http"]
# Manifest URLs may contain signed query parameters. Treat the complete transport URL as
# secret-bearing configuration; adapters derive a query-free provenance URI from it.
urls: list[SecretStr] = Field(min_length=1)
connect_timeout: float = Field(default=5, gt=0)
read_timeout: float = Field(default=30, gt=0)
max_bytes: int = Field(default=10 * 1024 * 1024, gt=0)
max_redirects: int = Field(default=5, ge=0)
EvidenceSourceConfig = Annotated[
FilesystemEvidenceSourceConfig | HttpEvidenceSourceConfig,
Field(discriminator="type"),
]
class EvidenceSourcesConfig(BaseModel):
# Legacy curated-tree configuration remains accepted during migration.
source_root: Path | None = None
# cartella curata a mano nell'ETL (relativa a source_root): unica fonte delle
# evidence. Niente piu' estrazione automatica dalle schede tabella: i documenti
# qui dentro sono gia' evidence pronte (frontmatter + corpo), scelte e arricchite
# dall'autore ETL e organizzate in sottocartelle per dominio.
evidence_dir: str = "evidence"
sources: list[EvidenceSourceConfig] = []
@model_validator(mode="after")
def require_a_source(self):
if self.source_root is None and not self.sources:
raise ValueError("evidence requires source_root or sources")
return self
class EmbeddingsConfig(BaseModel):
base_url: str
model: str = "nomic-embed-text-v2-moe"
dim: int = 768
batch_size: int = 32
timeout: int = 30
connect_timeout: int = 5
bin: str = "ollama"
start_cmd: list[str] | None = None
class VectorConfig(BaseModel):
max_chunk_chars: int = 4000
class SearchConfig(BaseModel):
rrf_k: int = 60
top_schema_tables: int = 12 # default `--top` per `tht search --kind schema` (n. tabelle)
schema_chunk_pool: int = 150 # chunk tabella/colonna fusi prima dell'aggregazione a tabella
class ExecutionConfig(BaseModel):
allow: list[str] = ["cte_test", "explain", "preview", "aggregate", "export"]
max_preview_rows: int = 10
statement_timeout_ms: int = 30000
warn_execution_ms: int = 5000
warn_plan_rows: int = 1_000_000
max_aggregate_cells: int = 20
max_export_rows: int = 100000
forbidden_functions: list[str] = [
"setval",
"nextval",
"pg_advisory_lock",
"pg_advisory_xact_lock",
"dblink",
"dblink_exec",
"pg_terminate_backend",
"pg_cancel_backend",
"lo_import",
"lo_export",
"pg_reload_conf",
]
class Config(BaseModel):
dwh: DwhResourceConfig
vectors: VectorResourceConfig | None = None
roots: WorkspaceRoots = WorkspaceRoots()
# Compatibility views retained until all call sites consume typed resources.
database: DatabaseConfig
# Profilo dell'installazione, letto da THT_PROFILE (.env), non dallo yaml versionato.
# server: ricostruisce i derivati (artefatti, LSH, vettori schema nel vectordb).
# workstation: postazione locale che legge il vectordb via REST; gli upsert remoti
# richiedono vector_write_rest, mentre init/clear/rebuild restano solo-server.
profile: Literal["server", "workstation"] = "server"
# Language in which table/column descriptions and evidence are written. The skill
# instructions stay in English; only content/output follow this language. Default
# 'en' so Thoth is not bound to any customer's language.
language: str = "en"
paths: PathsConfig = PathsConfig()
examples: ExamplesConfig = ExamplesConfig()
lsh: LshConfig = LshConfig()
eligibility: EligibilityConfig = EligibilityConfig()
evidence: EvidenceSourcesConfig | None = None
embeddings: EmbeddingsConfig | None = None
vector_db: DatabaseConfig | None = None
vector: VectorConfig = VectorConfig()
search: SearchConfig = SearchConfig()
execution: ExecutionConfig = ExecutionConfig()
rest: RestConfig | None = None
# Endpoint REST dedicato per la similarity search del pgvector (rpc search_similar).
# Se presente, `tht search` legge via REST; altrimenti legge in diretto (dev/test).
vector_rest: RestConfig | None = None
# Endpoint REST dedicato alle scritture controllate del pgvector. E' opzionale e usa
# una API key separata dalla lettura; espone solo upsert/hash via RPC allowlist.
vector_write_rest: RestConfig | None = None
@model_validator(mode="before")
@classmethod
def accept_legacy_constructor_fields(cls, value: Any) -> Any:
if not isinstance(value, dict) or "dwh" in value:
return value
translated, _ = translate_legacy_config(value)
_populate_legacy_views(translated)
return translated
def load_config(path: Path) -> Config:
if not path.exists():
raise ConfigError(f"File di configurazione non trovato: {path}")
raw = yaml.safe_load(path.read_text())
if not isinstance(raw, dict):
raise ConfigError(f"Configurazione non valida (atteso un mapping YAML): {path}")
expanded = _resolve_secret_files(_expand_env(raw))
translated, used_legacy = translate_legacy_config(expanded)
_populate_legacy_views(translated)
try:
cfg = Config.model_validate(translated)
except ValidationError as e:
raise ConfigError(f"Configurazione non valida in {path}:\n{e}") from e
env_profile = os.environ.get("THT_PROFILE")
if env_profile is not None:
if env_profile not in ("server", "workstation"):
raise ConfigError(
f"THT_PROFILE non valido: {env_profile!r} (atteso 'server' o 'workstation')."
)
cfg = cfg.model_copy(update={"profile": env_profile})
if cfg.database.transport == "rest" and cfg.rest is None:
raise ConfigError(
f"transport: rest richiede la sezione `rest` (base_url, api_key) in {path}."
)
data_root = os.environ.get("THT_DATA_ROOT")
if data_root:
# Import locally: paths owns resolution, while ConfigError remains the public
# configuration exception callers already handle.
from tht.paths import resolve_workspace_paths
resolved = resolve_workspace_paths(path, cfg, Path(data_root))
cfg = cfg.model_copy(
update={
"paths": PathsConfig(
sessions=resolved.sessions,
artifacts=resolved.artifacts,
indexes=resolved.indexes,
)
}
)
elif not used_legacy:
# Modern `roots` replace `paths`; without a mounted data root retain the old
# working-directory-relative behavior used by local development.
cfg = cfg.model_copy(update={"paths": PathsConfig(**cfg.roots.model_dump())})
if used_legacy:
warnings.warn(
"DEPRECATION: legacy workspace resource keys are deprecated; "
"use dwh, vectors, and roots.",
FutureWarning,
stacklevel=2,
)
return cfg
def _populate_legacy_views(raw: dict[str, Any]) -> None:
"""Populate old Config attributes for command compatibility during migration."""
dwh = raw.get("dwh")
if "database" not in raw and isinstance(dwh, dict):
if dwh.get("type") == "postgres_direct":
raw["database"] = {**dwh["connection"], "transport": "direct"}
elif dwh.get("type") == "thoth_rest":
raw["database"] = {
**dwh["database"],
"user": "rest",
"password": "",
"transport": "rest",
}
raw["rest"] = dwh["endpoint"]
vectors = raw.get("vectors")
if isinstance(vectors, dict):
if vectors.get("type") == "pgvector_direct":
raw.setdefault(
"vector_db",
vectors.get("writer") or vectors.get("reader") or vectors.get("connection"),
)
elif vectors.get("type") == "thoth_vector_http":
raw.setdefault("vector_rest", vectors.get("reader"))
raw.setdefault("vector_write_rest", vectors.get("writer"))
raw.setdefault("vector_db", vectors.get("direct"))
raw.setdefault("paths", raw.get("roots", {}))