2434 lines
85 KiB
Plaintext
2434 lines
85 KiB
Plaintext
{
|
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"cells": [
|
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{
|
||
"cell_type": "code",
|
||
"execution_count": null,
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"id": "9d16b24a",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"from datetime import timedelta\n",
|
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"from typing import Any\n",
|
||
"from temporalio import client\n",
|
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"from temporalio.client import WorkflowHandle\n",
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"\n",
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"\n",
|
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"async def start_workflow_advanced(\n",
|
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" temporal_client: client.Client,\n",
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" workflow_name: str,\n",
|
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" workflow_input: dict[str, Any],\n",
|
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" workflow_id: str,\n",
|
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" task_queue: str,\n",
|
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" execution_timeout: timedelta | None = None,\n",
|
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" run_timeout: timedelta | None = None,\n",
|
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" task_timeout: timedelta | None = None,\n",
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") -> WorkflowHandle:\n",
|
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" handle = await temporal_client.start_workflow(\n",
|
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" workflow=workflow_name,\n",
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" arg=workflow_input,\n",
|
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" id=workflow_id or f\"{workflow_name}-{id(workflow_input)}\",\n",
|
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" task_queue=task_queue,\n",
|
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" execution_timeout=execution_timeout,\n",
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" run_timeout=run_timeout,\n",
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" task_timeout=task_timeout,\n",
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" )\n",
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" \n",
|
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" return handle"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "5e344fb0",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"input_data = {\n",
|
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" \"debug_data_package\": False,\n",
|
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" \"execution_timeout_seconds\": 300,\n",
|
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" \"fill_missing_tags\": False,\n",
|
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" \"filters\": {\n",
|
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" \"NULL_VALUES_FILTER\": {\n",
|
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" \"policy\": \"DISCARD\"\n",
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" },\n",
|
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" \"OUT_OF_BOUNDS_FILTER\": {\n",
|
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" \"policy\": \"DISCARD\"\n",
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" }\n",
|
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" },\n",
|
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" \"frequency\": \"30s\",\n",
|
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" \"max_retry_policy\": 1,\n",
|
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" \"model_config\": {\n",
|
||
" \"predict_flavor\": \"sklearn\",\n",
|
||
" \"retention_minutes\": 0,\n",
|
||
" \"target\": \"CI-W3A05F1\",\n",
|
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" \"transform_flavor\": \"sklearn\"\n",
|
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" },\n",
|
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" \"model_id\": \"10\",\n",
|
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" \"model_name\": \"Pi Web API Test Model\",\n",
|
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" \"model_tags\": {\n",
|
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" \"CI-W3W03S1\": {\n",
|
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" \"aggr_func\": \"avg\",\n",
|
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" \"data_range\": [\n",
|
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" -100000,\n",
|
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" 100000\n",
|
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" ],\n",
|
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" \"webid\": \"F1DP-7fYgsRTtUOa7V9NIwSujATFUAAAUElIQVZDXENJLVczVzAzUzE\"\n",
|
||
" },\n",
|
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" \"CI-W3A05F1\": {\n",
|
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" \"aggr_func\": \"lts\",\n",
|
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" \"data_range\": [\n",
|
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" -100000,\n",
|
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" 100000\n",
|
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" ],\n",
|
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" \"webid\": \"F1DP-7fYgsRTtUOa7V9NIwSujAkVMAAAUElIQVZDXENJLVczQTA1RjE\"\n",
|
||
" }\n",
|
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" },\n",
|
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" \"pi_web_api_query\": {\n",
|
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" \"endpoint\": \"/streamsets/recorded\",\n",
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" \"period\": \"*-1d\",\n",
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" \"max_count\": 1,\n",
|
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" \"api_timeout\": 5\n",
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" },\n",
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" \"offset\": \"0m\",\n",
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" \"retention_time\": 3600,\n",
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" \"schedule_name\": \"pi-web-api-scouter-test\",\n",
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" \"schema\": \"sientia_data\",\n",
|
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" \"table_name\": \"laborious_data\",\n",
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" \"task_timeout_seconds\": 300,\n",
|
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" \"trigger_laborious\": False,\n",
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" \"updated_at\": \"2025-08-13 18:35:01.600000+0000\",\n",
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" \"workflow_type\": \"pi_web_api_scouter\"\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9350bff3",
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"metadata": {},
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"outputs": [],
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"source": [
|
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"from temporalio import client\n",
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"\n",
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"temporal_client = await client.Client.connect(\n",
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" target_host=\"localhost:7233\",\n",
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" namespace=\"scouter\"\n",
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")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "45712d7a",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"import datetime\n",
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"\n",
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"now = datetime.datetime.now()\n",
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"\n",
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"handle = await start_workflow_advanced(\n",
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" temporal_client=temporal_client,\n",
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" workflow_name='pi_web_api_scouter',\n",
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" workflow_input=input_data,\n",
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" workflow_id='test_workflow_id_' + now.strftime('%Y%m%d%H%M%S'),\n",
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" task_queue='pi-web-api-scouter-queue',\n",
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" execution_timeout=timedelta(seconds=30),\n",
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" run_timeout=timedelta(seconds=30),\n",
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" task_timeout=timedelta(seconds=30),\n",
|
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")\n",
|
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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||
"id": "d065d0de",
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||
"metadata": {},
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||
"outputs": [],
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||
"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",
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" return text.lower()\n",
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"\n",
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"print(camel_to_kebab('PiWebApiScouter'))\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "72af4236",
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||
"metadata": {},
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||
"outputs": [],
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"source": [
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"import requests\n",
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"from time import sleep\n",
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"\n",
|
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"# Obter web id das seguintes tags:\n",
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"TAG_NAMES = [\n",
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" \"CI-W3A05F1\",\n",
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" \"CI-W3W03S1\",\n",
|
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" \"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",
|
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" \"CI-W3W01G1\",\n",
|
||
" \"CI-W3V21F1\",\n",
|
||
" \"CI-W3V21P1\",\n",
|
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" \"CI-W3V30F1\",\n",
|
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" \"CI-W3V33P1\",\n",
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" \"CI-W3W01A1_AI\",\n",
|
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" \"CI-W3W01A2_AI\"\n",
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"]\n",
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||
"url = 'https://pivision.votorantimcimentos.com/piwebapi/dataservers/F1DS-7fYgsRTtUOa7V9NIwSujAUElIQVZD/points?namefilter={tag}'\n",
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"\n",
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"headers = {\n",
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||
" 'Content-Type': 'application/json',\n",
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||
" 'Accept': 'application/json',\n",
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||
" 'X-Requested-With': 'piwebapistreams', # Header recomendado pelo PI Web API\n",
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'Authorization': "Basic " + __import__('os').environ.get('PI_WEB_API_BASIC_AUTH', '')
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"}\n",
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"\n",
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"web_ids = {}\n",
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"\n",
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||
"for tag in TAG_NAMES:\n",
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" response = requests.get(url.replace('{tag}', tag), headers=headers).json()\n",
|
||
" web_ids[tag] = {\n",
|
||
" 'webid': response['Items'][0]['WebId'],\n",
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||
" 'aggr_func': 'lts',\n",
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||
" 'data_range': [-100000, 100000],\n",
|
||
" }\n",
|
||
" sleep(0.5)\n"
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||
]
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},
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||
{
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||
"cell_type": "code",
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||
"execution_count": null,
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||
"id": "55793801",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import json\n",
|
||
"json.dump(web_ids, open('web_ids.json', 'w'), indent=4)\n",
|
||
"web_ids"
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||
]
|
||
},
|
||
{
|
||
"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=__import__('os').environ.get('PI_WEB_API_BASIC_AUTH', ''),
|
||
" 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(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(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": [
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"/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"
|
||
]
|
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},
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{
|
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"name": "stdout",
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"output_type": "stream",
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"Inserting chunk 8500000 to 8600000\n"
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"/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"
|
||
]
|
||
},
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{
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"name": "stdout",
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"output_type": "stream",
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"/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"
|
||
]
|
||
},
|
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{
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"name": "stdout",
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"output_type": "stream",
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"Inserting chunk 8700000 to 8800000\n"
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"/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",
|
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" self.metrics_controller.start()\n",
|
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"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
|
||
]
|
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Inserting chunk 8800000 to 8900000\n"
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"/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",
|
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" self.metrics_controller.start()\n",
|
||
"RuntimeWarning: Enable tracemalloc to get the object allocation traceback\n"
|
||
]
|
||
},
|
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Inserting chunk 8900000 to 9000000\n"
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"/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"
|
||
]
|
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Inserting chunk 9000000 to 9100000\n"
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"/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"
|
||
]
|
||
},
|
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Inserting chunk 9100000 to 9200000\n"
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"/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"
|
||
]
|
||
},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Inserting chunk 9200000 to 9300000\n"
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"/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"
|
||
]
|
||
},
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{
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"name": "stdout",
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||
"output_type": "stream",
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"text": [
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"Inserting chunk 9300000 to 9400000\n"
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"text": [
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"/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"
|
||
]
|
||
},
|
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{
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"name": "stdout",
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||
"output_type": "stream",
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"text": [
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"Inserting chunk 9400000 to 9500000\n"
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"output_type": "stream",
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"text": [
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"/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"
|
||
]
|
||
},
|
||
{
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||
"name": "stdout",
|
||
"output_type": "stream",
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||
"Inserting chunk 9500000 to 9600000\n"
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||
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"text": [
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"/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",
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||
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|
||
"Inserting chunk 9600000 to 9700000\n"
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||
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||
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||
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"/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",
|
||
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|
||
"Inserting chunk 9700000 to 9800000\n"
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|
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||
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||
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"/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"
|
||
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|
||
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||
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"/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"
|
||
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|
||
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|
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||
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|
||
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|
||
"/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"
|
||
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|
||
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|
||
{
|
||
"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"
|
||
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|
||
},
|
||
{
|
||
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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 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": [
|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
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|
||
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|
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"text/plain": [
|
||
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|
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|
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|
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|
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|
||
"... ... ... ... ... \n",
|
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|
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"9993059 111 CI-W3W01P1 -2.356829 2025-01-21 11:35:08+0000 \n",
|
||
"\n",
|
||
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|
||
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|
||
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|
||
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|
||
"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": {
|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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|
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|
||
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|
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|
||
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|
||
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||
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|
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||
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|
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|