import clickhouse_connect
import datetime as datetime
import os

client = clickhouse_connect.get_client(
    host=os.getenv("CLICKHOUSE_HOST"),
    port=int(os.getenv("CLICKHOUSE_PORT")),
    username=os.getenv("CLICKHOUSE_USERNAME"),
    password=os.getenv("CLICKHOUSE_PASSWORD"),
)
import clickhouse_connect

row1 = [
    "ishaan",  # request_id
    "GET",  # call_type
    "api_key_123",  # api_key
    50.00,  # spend
    1000,  # total_tokens
    800,  # prompt_tokens
    200,  # completion_tokens
    datetime.datetime.now(),  # startTime (replace with the actual timestamp)
    datetime.datetime.now(),  # endTime (replace with the actual timestamp)
    "gpt-3.5",  # model
    "user123",  # user
    '{"key": "value"}',  # metadata (replace with valid JSON)
    "True",  # cache_hit
    "cache_key_123",  # cache_key
    "tag1,tag2",  # request_tags
]

row2 = [
    "jaffer",  # request_id
    "POST",  # call_type
    "api_key_456",  # api_key
    30.50,  # spend
    800,  # total_tokens
    600,  # prompt_tokens
    200,  # completion_tokens
    datetime.datetime.now(),  # startTime (replace with the actual timestamp)
    datetime.datetime.now(),  # endTime (replace with the actual timestamp)
    "gpt-4.0",  # model
    "user456",  # user
    '{"key": "value"}',  # metadata (replace with valid JSON)
    "False",  # cache_hit
    "cache_key_789",  # cache_key
    "tag3,tag4",  # request_tags
]

data = [row1, row2]
resp = client.insert(
    "spend_logs",
    data,
    column_names=[
        "request_id",
        "call_type",
        "api_key",
        "spend",
        "total_tokens",
        "prompt_tokens",
        "completion_tokens",
        "startTime",
        "endTime",
        "model",
        "user",
        "metadata",
        "cache_hit",
        "cache_key",
        "request_tags",
    ],
)

print(resp)