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"""
Утилиты для работы с историей запросов в PostgreSQL
Используется на бэкенде для логирования запросов к RAG
"""
from datetime import datetime
from typing import List, Dict, Optional
import json
from sqlalchemy import text
from sqlalchemy.exc import SQLAlchemyError
from src.config import sql_client
def init_history_table():
"""
Инициализация таблицы истории запросов
Создает таблицу, если она не существует
"""
try:
with sql_client.begin() as conn:
conn.execute(text("""
CREATE TABLE IF NOT EXISTS query_history (
id SERIAL PRIMARY KEY,
timestamp TIMESTAMP NOT NULL DEFAULT NOW(),
dialogue_id VARCHAR(255) NOT NULL,
query TEXT NOT NULL,
answer TEXT NOT NULL,
reason TEXT,
search_period JSONB,
metadata JSONB
)
"""))
conn.execute(text("""
CREATE INDEX IF NOT EXISTS idx_query_history_dialogue_id
ON query_history(dialogue_id)
"""))
conn.execute(text("""
CREATE INDEX IF NOT EXISTS idx_query_history_timestamp
ON query_history(timestamp DESC)
"""))
print("✅ Таблица query_history инициализирована")
except SQLAlchemyError as e:
print(f"❌ Ошибка при инициализации таблицы: {e}")
raise
def log_query(
query: str,
answer: str,
reason: str,
dialogue_id: Optional[str] = None,
search_period: Optional[Dict] = None,
metadata_: Optional[Dict] = None
) -> Optional[int]:
"""
Логировать запрос в историю (вызывается бэкендом после получения ответа от LLM)
Args:
query: Текст вопроса пользователя
answer: Ответ системы
reason: Обоснование ответа
dialogue_id: ID диалога (опционально)
search_period: Период поиска
metadata_: Дополнительные метаданные
Returns:
ID созданной записи или None при ошибке
"""
# Генерируем dialogue_id если не передан
if not dialogue_id:
dialogue_id = f"single_{datetime.now().strftime('%Y%m%d_%H%M%S_%f')}"
try:
with sql_client.begin() as conn:
result = conn.execute(
text("""
INSERT INTO query_history
(timestamp, dialogue_id, query, answer, reason, search_period, metadata)
VALUES (:timestamp, :dialogue_id, :query, :answer, :reason,
CAST(:search_period AS JSONB), CAST(:metadata AS JSONB))
RETURNING id
"""),
{
"timestamp": datetime.now(),
"dialogue_id": dialogue_id,
"query": query,
"answer": answer,
"reason": reason,
"search_period": json.dumps(search_period or {}),
"metadata": json.dumps(metadata_ or {})
}
)
query_id = result.scalar()
return query_id
except SQLAlchemyError as e:
print(f"❌ Ошибка при логировании запроса: {e}")
return None
def get_all_history(limit: int = 100, offset: int = 0) -> List[Dict]:
"""Получить всю историю запросов"""
try:
with sql_client.connect() as conn:
result = conn.execute(
text("""
SELECT id, timestamp, dialogue_id, query, answer, reason,
search_period, metadata
FROM query_history
ORDER BY timestamp DESC
LIMIT :limit OFFSET :offset
"""),
{"limit": limit, "offset": offset}
)
rows = result.mappings().all()
# Конвертируем datetime в ISO строку для JSON сериализации
return [
{
**dict(row),
"timestamp": row["timestamp"].isoformat() if row["timestamp"] else None
}
for row in rows
]
except SQLAlchemyError as e:
print(f"❌ Ошибка при получении истории: {e}")
return []
def get_history_by_dialogue(dialogue_id: str) -> List[Dict]:
"""Получить историю конкретного диалога"""
try:
with sql_client.connect() as conn:
result = conn.execute(
text("""
SELECT id, timestamp, dialogue_id, query, answer, reason,
search_period, metadata
FROM query_history
WHERE dialogue_id = :dialogue_id
ORDER BY timestamp ASC
"""),
{"dialogue_id": dialogue_id}
)
rows = result.mappings().all()
return [
{
**dict(row),
"timestamp": row["timestamp"].isoformat() if row["timestamp"] else None
}
for row in rows
]
except SQLAlchemyError as e:
print(f"❌ Ошибка при получении диалога: {e}")
return []
def search_history(search_text: str, limit: int = 50) -> List[Dict]:
"""Поиск по истории запросов"""
try:
with sql_client.connect() as conn:
result = conn.execute(
text("""
SELECT id, timestamp, dialogue_id, query, answer, reason,
search_period, metadata
FROM query_history
WHERE query ILIKE :search_pattern
OR answer ILIKE :search_pattern
ORDER BY timestamp DESC
LIMIT :limit
"""),
{
"search_pattern": f"%{search_text}%",
"limit": limit
}
)
rows = result.mappings().all()
return [
{
**dict(row),
"timestamp": row["timestamp"].isoformat() if row["timestamp"] else None
}
for row in rows
]
except SQLAlchemyError as e:
print(f"❌ Ошибка при поиске в истории: {e}")
return []
def get_history_stats() -> Dict:
"""Получить статистику по истории запросов"""
try:
with sql_client.connect() as conn:
result = conn.execute(
text("""
SELECT
COUNT(*) as total_queries,
COUNT(DISTINCT dialogue_id) as unique_dialogues,
MAX(timestamp) as last_query_time,
MIN(timestamp) as first_query_time
FROM query_history
""")
)
row = result.mappings().first()
if row:
return {
"total_queries": row["total_queries"],
"unique_dialogues": row["unique_dialogues"],
"last_query_time": row["last_query_time"].isoformat() if row["last_query_time"] else None,
"first_query_time": row["first_query_time"].isoformat() if row["first_query_time"] else None
}
return {}
except SQLAlchemyError as e:
print(f"❌ Ошибка при получении статистики: {e}")
return {}
def delete_history(dialogue_id: Optional[str] = None):
"""Удалить историю"""
try:
with sql_client.begin() as conn:
if dialogue_id:
conn.execute(
text("DELETE FROM query_history WHERE dialogue_id = :dialogue_id"),
{"dialogue_id": dialogue_id}
)
print(f"✅ История диалога {dialogue_id} удалена")
else:
conn.execute(text("DELETE FROM query_history"))
print("✅ Вся история удалена")
except SQLAlchemyError as e:
print(f"❌ Ошибка при удалении истории: {e}")
raise
def get_recent_dialogues(limit: int = 10) -> List[Dict]:
"""Получить список последних диалогов"""
try:
with sql_client.connect() as conn:
result = conn.execute(
text("""
SELECT
dialogue_id,
COUNT(*) as message_count,
MIN(timestamp) as started_at,
MAX(timestamp) as last_message_at
FROM query_history
GROUP BY dialogue_id
ORDER BY MAX(timestamp) DESC
LIMIT :limit
"""),
{"limit": limit}
)
rows = result.mappings().all()
return [
{
"dialogue_id": row["dialogue_id"],
"message_count": row["message_count"],
"started_at": row["started_at"].isoformat() if row["started_at"] else None,
"last_message_at": row["last_message_at"].isoformat() if row["last_message_at"] else None
}
for row in rows
]
except SQLAlchemyError as e:
print(f"❌ Ошибка при получении списка диалогов: {e}")
return []
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