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sientia-dataops-scouter_tem…/tests.ipynb
vitor-aignosi e64af1aa7c SIENTIAPDE-1478 
Update tests.ipynb and API class in scouter module

- Reset execution counts in tests.ipynb for reproducibility.
- Removed unnecessary outputs and adjusted execution counts for clarity.
- Enhanced API class to accept 'end_time' parameter for improved data retrieval flexibility.
- Commented out timestamp formatting and normalization for future adjustments.
2026-01-21 15:38:22 -03:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "9d16b24a",
"metadata": {},
"outputs": [],
"source": [
"from datetime import timedelta\n",
"from typing import Any\n",
"from temporalio import client\n",
"from temporalio.client import WorkflowHandle\n",
"\n",
"\n",
"async def start_workflow_advanced(\n",
" temporal_client: client.Client,\n",
" workflow_name: str,\n",
" workflow_input: dict[str, Any],\n",
" workflow_id: str,\n",
" task_queue: str,\n",
" execution_timeout: timedelta | None = None,\n",
" run_timeout: timedelta | None = None,\n",
" task_timeout: timedelta | None = None,\n",
") -> WorkflowHandle:\n",
" handle = await temporal_client.start_workflow(\n",
" workflow=workflow_name,\n",
" arg=workflow_input,\n",
" id=workflow_id or f\"{workflow_name}-{id(workflow_input)}\",\n",
" task_queue=task_queue,\n",
" execution_timeout=execution_timeout,\n",
" run_timeout=run_timeout,\n",
" task_timeout=task_timeout,\n",
" )\n",
" \n",
" return handle"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5e344fb0",
"metadata": {},
"outputs": [],
"source": [
"input_data = {\n",
" \"debug_data_package\": False,\n",
" \"execution_timeout_seconds\": 300,\n",
" \"fill_missing_tags\": False,\n",
" \"filters\": {\n",
" \"NULL_VALUES_FILTER\": {\n",
" \"policy\": \"DISCARD\"\n",
" },\n",
" \"OUT_OF_BOUNDS_FILTER\": {\n",
" \"policy\": \"DISCARD\"\n",
" }\n",
" },\n",
" \"frequency\": \"30s\",\n",
" \"max_retry_policy\": 1,\n",
" \"model_config\": {\n",
" \"predict_flavor\": \"sklearn\",\n",
" \"retention_minutes\": 0,\n",
" \"target\": \"CI-W3A05F1\",\n",
" \"transform_flavor\": \"sklearn\"\n",
" },\n",
" \"model_id\": \"10\",\n",
" \"model_name\": \"Pi Web API Test Model\",\n",
" \"model_tags\": {\n",
" \"CI-W3W03S1\": {\n",
" \"aggr_func\": \"avg\",\n",
" \"data_range\": [\n",
" -100000,\n",
" 100000\n",
" ],\n",
" \"webid\": \"F1DP-7fYgsRTtUOa7V9NIwSujATFUAAAUElIQVZDXENJLVczVzAzUzE\"\n",
" },\n",
" \"CI-W3A05F1\": {\n",
" \"aggr_func\": \"lts\",\n",
" \"data_range\": [\n",
" -100000,\n",
" 100000\n",
" ],\n",
" \"webid\": \"F1DP-7fYgsRTtUOa7V9NIwSujAkVMAAAUElIQVZDXENJLVczQTA1RjE\"\n",
" }\n",
" },\n",
" \"pi_web_api_query\": {\n",
" \"endpoint\": \"/streamsets/recorded\",\n",
" \"period\": \"*-1d\",\n",
" \"max_count\": 1,\n",
" \"api_timeout\": 5\n",
" },\n",
" \"offset\": \"0m\",\n",
" \"retention_time\": 3600,\n",
" \"schedule_name\": \"pi-web-api-scouter-test\",\n",
" \"schema\": \"sientia_data\",\n",
" \"table_name\": \"laborious_data\",\n",
" \"task_timeout_seconds\": 300,\n",
" \"trigger_laborious\": False,\n",
" \"updated_at\": \"2025-08-13 18:35:01.600000+0000\",\n",
" \"workflow_type\": \"pi_web_api_scouter\"\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9350bff3",
"metadata": {},
"outputs": [],
"source": [
"from temporalio import client\n",
"\n",
"temporal_client = await client.Client.connect(\n",
" target_host=\"localhost:7233\",\n",
" namespace=\"scouter\"\n",
")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "45712d7a",
"metadata": {},
"outputs": [],
"source": [
"\n",
"import datetime\n",
"\n",
"now = datetime.datetime.now()\n",
"\n",
"handle = await start_workflow_advanced(\n",
" temporal_client=temporal_client,\n",
" workflow_name='pi_web_api_scouter',\n",
" workflow_input=input_data,\n",
" workflow_id='test_workflow_id_' + now.strftime('%Y%m%d%H%M%S'),\n",
" task_queue='pi-web-api-scouter-queue',\n",
" execution_timeout=timedelta(seconds=30),\n",
" run_timeout=timedelta(seconds=30),\n",
" task_timeout=timedelta(seconds=30),\n",
")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d065d0de",
"metadata": {},
"outputs": [],
"source": [
"import re\n",
"def camel_to_kebab(text: str) -> str:\n",
" \"\"\"Convert camelCase or PascalCase to kebab-case.\"\"\"\n",
" text = re.sub('(.)([A-Z][a-z]+)', r'\\1-\\2', text)\n",
" text = re.sub('([a-z0-9])([A-Z])', r'\\1-\\2', text)\n",
" return text.lower()\n",
"\n",
"print(camel_to_kebab('PiWebApiScouter'))\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "72af4236",
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"from time import sleep\n",
"\n",
"# Obter web id das seguintes tags:\n",
"TAG_NAMES = [\n",
" \"CI-W3A05F1\",\n",
" \"CI-W3W03S1\",\n",
" \"CI-W3W03I1\",\n",
" \"CI-W3K01T1\",\n",
" \"CI-W3W01A3\",\n",
" \"CI-W3W01A2\",\n",
" \"CI-W3W01A1\",\n",
" \"CI-J3P01T1A\",\n",
" \"CI-W3A50T1\",\n",
" \"CI-W3A55T1\",\n",
" \"CI-W3A55P1\",\n",
" \"CI-W3V33P1\",\n",
" \"CI-W3E01F1\",\n",
" \"CI-W3A50A3\",\n",
" \"CI-W3A50A2\",\n",
" \"CI-W3A50A1\",\n",
" \"CI-W3A50P1\",\n",
" \"CI-W3W01P1\",\n",
" \"CI-W3A71P1\",\n",
" \"CI-W3W01P2\",\n",
" \"CI-W3A71P2\",\n",
" \"CI-W3A71P3\",\n",
" \"CI-J3J01S1\",\n",
" \"CI-W3P17S1\",\n",
" \"CI-J3P03S1\",\n",
" \"CI-W3K01S1\",\n",
" \"CI-W3K14P1\",\n",
" \"CI-W3K01T4\",\n",
" \"CI-W3K01T2\",\n",
" \"CI-W3A65_SO3\",\n",
" \"CI-W3A65_Cl\",\n",
" \"CI-W3_C3S\",\n",
" \"CI-W3_MS\",\n",
" \"CI-W3_MA\",\n",
" \"CI-W3_PL\",\n",
" \"CI-W3_CAO\",\n",
" \"CI-W3V04P3\",\n",
" \"CI-W3V04P1\",\n",
" \"CI-W3W01G1\",\n",
" \"CI-W3V21F1\",\n",
" \"CI-W3V21P1\",\n",
" \"CI-W3V30F1\",\n",
" \"CI-W3V33P1\",\n",
" \"CI-W3W01A1_AI\",\n",
" \"CI-W3W01A2_AI\"\n",
"]\n",
"url = 'https://pivision.votorantimcimentos.com/piwebapi/dataservers/F1DS-7fYgsRTtUOa7V9NIwSujAUElIQVZD/points?namefilter={tag}'\n",
"\n",
"headers = {\n",
" 'Content-Type': 'application/json',\n",
" 'Accept': 'application/json',\n",
" 'X-Requested-With': 'piwebapistreams', # Header recomendado pelo PI Web API\n",
" 'Authorization': \"Basic dmlkX3ZjbmV0XHN2Yy5waW9zaS5wcmQud2ViYXBpOlN2Y1ByRFdlQkBQaQ==\"\n",
"}\n",
"\n",
"web_ids = {}\n",
"\n",
"for tag in TAG_NAMES:\n",
" response = requests.get(url.replace('{tag}', tag), headers=headers).json()\n",
" web_ids[tag] = {\n",
" 'webid': response['Items'][0]['WebId'],\n",
" 'aggr_func': 'lts',\n",
" 'data_range': [-100000, 100000],\n",
" }\n",
" sleep(0.5)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "55793801",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"json.dump(web_ids, open('web_ids.json', 'w'), indent=4)\n",
"web_ids"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a83b3cb4",
"metadata": {},
"outputs": [],
"source": [
"from scouter.activities.api import API\n",
"from unittest.mock import MagicMock, AsyncMock\n",
"from pandas import DataFrame, concat\n",
"import json\n",
"from time import sleep\n",
"\n",
"web_ids = json.load(open('web_ids.json'))\n",
"\n",
"api = API(\n",
" base_url='https://pivision.votorantimcimentos.com/piwebapi',\n",
" auth_type='basic',\n",
" auth_token='dmlkX3ZjbmV0XHN2Yy5waW9zaS5wcmQud2ViYXBpOlN2Y1ByRFdlQkBQaQ==',\n",
" logger=MagicMock(),\n",
" notification_handler=AsyncMock(),\n",
" metrics_controller=AsyncMock(),\n",
")\n",
"\n",
"start_time = 1800\n",
"pace = 30\n",
"\n",
"data = DataFrame()\n",
"\n",
"for i in range(start_time, 0, -pace):\n",
" j = i - pace\n",
" print(f'Getting data for chunk -{i} to -{j} days')\n",
" try:\n",
" chunk = DataFrame(await api.get_tag_values(\n",
" input_data={\n",
" 'endpoint': '/streamsets/recorded',\n",
" 'web_ids': web_ids,\n",
" 'period': f'*-{i}d',\n",
" 'end_time': f'*-{j}d'.replace('-0d', ''),\n",
" 'max_count': None,\n",
" 'api_timeout': 5,\n",
" 'metadata': {}\n",
" }\n",
" ))\n",
" except Exception as e:\n",
" chunk = DataFrame(await api.get_tag_values(\n",
" input_data={\n",
" 'endpoint': '/streamsets/recorded',\n",
" 'web_ids': web_ids,\n",
" 'period': f'*-{i}d',\n",
" 'end_time': f'*-{j}d'.replace('-0d', ''),\n",
" 'max_count': None,\n",
" 'api_timeout': 5,\n",
" 'metadata': {}\n",
" }\n",
" ))\n",
" sleep(1)\n",
"\n",
" data = concat([data, chunk])\n",
"\n",
"base_data = data\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2e2ef295",
"metadata": {},
"outputs": [],
"source": [
"trunc_spec = 's'\n",
"\n",
"base_data['truncated_timestamp'] = base_data['timestamp'].dt.floor(trunc_spec)\n",
"\n",
"# drop timestamp NaT\n",
"base_data = base_data[base_data['timestamp'].notna()]\n",
"base_data.sort_values(by='truncated_timestamp', inplace=True)\n",
"\n",
"display(base_data)\n",
"\n",
"base_data.drop_duplicates(subset=['truncated_timestamp', 'name'], keep='last', inplace=True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ae7b5889",
"metadata": {},
"outputs": [],
"source": [
"data = base_data.pivot(index='truncated_timestamp', columns='name', values='value')\n",
"\n",
"data.sort_index(inplace=True)\n",
"\n",
"# replace Nan with upper row value\n",
"data.ffill(inplace=True)\n",
"#data.bfill(inplace=True)\n",
"data.dropna(inplace=True)\n",
"\n",
"data['timestamp'] = data.index\n",
"\n",
"data.reset_index(drop=True, inplace=True)\n",
"\n",
"display(data)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4782290f",
"metadata": {},
"outputs": [],
"source": [
"to_insert_data = data.melt(id_vars=['timestamp'], var_name='variable', value_name='value')\n",
"to_insert_data['model_id'] = '111'\n",
"to_insert_data.drop_duplicates(subset=['timestamp', 'variable'], keep='last', inplace=True)\n",
"to_insert_data = to_insert_data.sort_values(by='timestamp', ascending=False)\n",
"to_insert_data.to_csv('data.csv', index=False)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "a36d48d1",
"metadata": {},
"outputs": [],
"source": [
"from sientia_do.temporal.activities.postgres import Postgres\n",
"from unittest.mock import MagicMock, AsyncMock\n",
"\n",
"postgres_interface = Postgres(\n",
" host='localhost',\n",
" port=5432,\n",
" dbname='sientia',\n",
" user='sientia',\n",
" password='sientia',\n",
" min_connections=1,\n",
" max_connections=200,\n",
" logger=MagicMock(),\n",
" notification_handler=AsyncMock(),\n",
" metrics_controller=AsyncMock(),\n",
")\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "713ecb2e",
"metadata": {},
"outputs": [],
"source": [
"from pandas import read_csv\n",
"from time import sleep\n",
"to_insert_data = read_csv('data.csv')\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f269b8e7",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 0 to 100000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 100000 to 200000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 200000 to 300000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 300000 to 400000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 400000 to 500000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 500000 to 600000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 600000 to 700000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 700000 to 800000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 800000 to 900000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 900000 to 1000000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 1000000 to 1100000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 1100000 to 1200000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 1200000 to 1300000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 1300000 to 1400000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 1400000 to 1500000\n"
]
},
{
"name": "stderr",
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"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 9500000 to 9600000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 9600000 to 9700000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 9700000 to 9800000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 9800000 to 9900000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 9900000 to 10000000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10000000 to 10100000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10100000 to 10200000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10200000 to 10300000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10300000 to 10400000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10400000 to 10500000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10500000 to 10600000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10600000 to 10700000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10700000 to 10800000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10800000 to 10900000\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/grezewave/Documents/projects/sientia/sientia-dataops-scouter_temporal/venv/lib/python3.11/site-packages/sientia_do/observability/sientia_monitoring.py:80: RuntimeWarning: coroutine 'AsyncMockMixin._execute_mock_call' was never awaited\n",
" self.metrics_controller.start()\n",
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Inserting chunk 10900000 to 11000000\n"
]
}
],
"source": [
"\n",
"chunk_start = 10900000\n",
"chunk_end = 20000000\n",
"\n",
"chunk_size = 100000\n",
"\n",
"chunk_pace = chunk_start\n",
"while chunk_pace < chunk_end:\n",
" print(f'Inserting chunk {chunk_pace} to {chunk_pace+chunk_size}')\n",
" chunk = to_insert_data.iloc[chunk_pace:chunk_pace+chunk_size]\n",
" await postgres_interface.export_data_to_postgres(\n",
" input_data={\n",
" 'data': chunk,\n",
" 'table_name': 'laborious_data',\n",
" 'schema': 'sientia_data',\n",
" 'unique_columns': ['timestamp', 'variable', 'model_id'],\n",
" 'on_conflict': 'ignore',\n",
" 'metadata': {}\n",
" }\n",
" )\n",
" sleep(10)\n",
" chunk_pace += chunk_size"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2e0e3d5a",
"metadata": {},
"outputs": [],
"source": [
"item = web_ids['CI-W3A05F1']['webid']\n",
"\n",
"requests.get(\n",
" f'https://pivision.votorantimcimentos.com/piwebapi/streamsets/recorded',\n",
" params={\n",
" 'webid': item,\n",
" 'startTime': '*-1d',\n",
" 'endtime': '*',\n",
" \"maxCount\": 1,\n",
" },\n",
" headers=headers\n",
").json()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f8c425e2",
"metadata": {},
"outputs": [],
"source": [
"from pandas import read_csv, to_datetime\n",
"\n",
"df = read_csv('/home/grezewave/Downloads/laborious_data_202512220821.csv')\n",
"data = df.pivot(index='timestamp', columns='variable', values='value')\n",
"data['timestamp'] = data.index\n",
"\n",
"#Remove tz from timestamp\n",
"data['timestamp'] = to_datetime(data['timestamp'])\n",
"data['timestamp'] = data['timestamp'].dt.tz_localize(None)\n",
"\n",
"# Back to string and add \"\"\n",
"data['timestamp'] = data['timestamp'].dt.strftime('%Y-%m-%d %H:%M:%S')\n",
"data.reset_index(drop=True, inplace=True)\n",
"data.to_csv('VC-model-data.csv', index=False)\n",
"\n",
"display(data)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "2bd5569d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>model_id</th>\n",
" <th>variable</th>\n",
" <th>value</th>\n",
" <th>timestamp</th>\n",
" <th>created_at</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>111</td>\n",
" <td>CI-W3V30F1</td>\n",
" <td>8.514851</td>\n",
" <td>2026-01-20 19:41:23+0000</td>\n",
" <td>2026-01-20 23:28:18+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>111</td>\n",
" <td>CI-W3A71P3</td>\n",
" <td>-2.308690</td>\n",
" <td>2026-01-20 19:41:23+0000</td>\n",
" <td>2026-01-20 23:28:18+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>111</td>\n",
" <td>CI-J3P01T1A</td>\n",
" <td>228.900000</td>\n",
" <td>2026-01-20 19:41:23+0000</td>\n",
" <td>2026-01-20 23:28:18+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>111</td>\n",
" <td>CI-W3W03I1</td>\n",
" <td>75.367424</td>\n",
" <td>2026-01-20 19:41:23+0000</td>\n",
" <td>2026-01-20 23:28:18+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>111</td>\n",
" <td>CI-J3J01S1</td>\n",
" <td>87.999020</td>\n",
" <td>2026-01-20 19:41:23+0000</td>\n",
" <td>2026-01-20 23:28:18+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9993055</th>\n",
" <td>111</td>\n",
" <td>CI-W3V30F1</td>\n",
" <td>6.846108</td>\n",
" <td>2025-01-21 11:35:08+0000</td>\n",
" <td>2026-01-21 00:18:50+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9993056</th>\n",
" <td>111</td>\n",
" <td>CI-W3K14P1</td>\n",
" <td>38.096770</td>\n",
" <td>2025-01-21 11:35:08+0000</td>\n",
" <td>2026-01-21 00:18:50+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9993057</th>\n",
" <td>111</td>\n",
" <td>CI-W3A50T1</td>\n",
" <td>364.250000</td>\n",
" <td>2025-01-21 11:35:08+0000</td>\n",
" <td>2026-01-21 00:18:50+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9993058</th>\n",
" <td>111</td>\n",
" <td>CI-W3A55T1</td>\n",
" <td>871.682300</td>\n",
" <td>2025-01-21 11:35:08+0000</td>\n",
" <td>2026-01-21 00:18:50+0000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9993059</th>\n",
" <td>111</td>\n",
" <td>CI-W3W01P1</td>\n",
" <td>-2.356829</td>\n",
" <td>2025-01-21 11:35:08+0000</td>\n",
" <td>2026-01-21 00:18:50+0000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>9993060 rows × 5 columns</p>\n",
"</div>"
],
"text/plain": [
" model_id variable value timestamp \\\n",
"0 111 CI-W3V30F1 8.514851 2026-01-20 19:41:23+0000 \n",
"1 111 CI-W3A71P3 -2.308690 2026-01-20 19:41:23+0000 \n",
"2 111 CI-J3P01T1A 228.900000 2026-01-20 19:41:23+0000 \n",
"3 111 CI-W3W03I1 75.367424 2026-01-20 19:41:23+0000 \n",
"4 111 CI-J3J01S1 87.999020 2026-01-20 19:41:23+0000 \n",
"... ... ... ... ... \n",
"9993055 111 CI-W3V30F1 6.846108 2025-01-21 11:35:08+0000 \n",
"9993056 111 CI-W3K14P1 38.096770 2025-01-21 11:35:08+0000 \n",
"9993057 111 CI-W3A50T1 364.250000 2025-01-21 11:35:08+0000 \n",
"9993058 111 CI-W3A55T1 871.682300 2025-01-21 11:35:08+0000 \n",
"9993059 111 CI-W3W01P1 -2.356829 2025-01-21 11:35:08+0000 \n",
"\n",
" created_at \n",
"0 2026-01-20 23:28:18+0000 \n",
"1 2026-01-20 23:28:18+0000 \n",
"2 2026-01-20 23:28:18+0000 \n",
"3 2026-01-20 23:28:18+0000 \n",
"4 2026-01-20 23:28:18+0000 \n",
"... ... \n",
"9993055 2026-01-21 00:18:50+0000 \n",
"9993056 2026-01-21 00:18:50+0000 \n",
"9993057 2026-01-21 00:18:50+0000 \n",
"9993058 2026-01-21 00:18:50+0000 \n",
"9993059 2026-01-21 00:18:50+0000 \n",
"\n",
"[9993060 rows x 5 columns]"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from pandas import read_parquet\n",
"\n",
"df = read_parquet('~/Downloads/data_2026-01-21_11-32-10.parquet')\n",
"\n",
"display(df)\n",
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.14"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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