Create job

curl --request POST \
  --url https://ai.data.cloud/api/v2/team/jobs \
  --header 'Content-Type: application/json' \
  --header 'x-pd-api-key: <api-key>' \
  --data '
{
  "session_id": "cxxdgegeegeg3433fff",
  "user_id": "tmm-dafasdfasdfasdf",
  "stream": true,
  "question": "Hello World",
  "dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
  "datasource_ids": [
    "cm1gjmmoo0001h0x24uk1xgu9"
  ],
  "output_language": "AUTO",
  "job_mode": "AUTO"
}
'

import requests

url = "https://ai.data.cloud/api/v2/team/jobs"

payload = {
    "session_id": "cxxdgegeegeg3433fff",
    "user_id": "tmm-dafasdfasdfasdf",
    "stream": True,
    "question": "Hello World",
    "dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
    "datasource_ids": ["cm1gjmmoo0001h0x24uk1xgu9"],
    "output_language": "AUTO",
    "job_mode": "AUTO"
}
headers = {
    "x-pd-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-pd-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    session_id: 'cxxdgegeegeg3433fff',
    user_id: 'tmm-dafasdfasdfasdf',
    stream: true,
    question: 'Hello World',
    dataset_id: 'cm1gjmg8e0057r3x22v1fdu8m',
    datasource_ids: ['cm1gjmmoo0001h0x24uk1xgu9'],
    output_language: 'AUTO',
    job_mode: 'AUTO'
  })
};

fetch('https://ai.data.cloud/api/v2/team/jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://ai.data.cloud/api/v2/team/jobs",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'session_id' => 'cxxdgegeegeg3433fff',
    'user_id' => 'tmm-dafasdfasdfasdf',
    'stream' => true,
    'question' => 'Hello World',
    'dataset_id' => 'cm1gjmg8e0057r3x22v1fdu8m',
    'datasource_ids' => [
        'cm1gjmmoo0001h0x24uk1xgu9'
    ],
    'output_language' => 'AUTO',
    'job_mode' => 'AUTO'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-pd-api-key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://ai.data.cloud/api/v2/team/jobs"

	payload := strings.NewReader("{\n  \"session_id\": \"cxxdgegeegeg3433fff\",\n  \"user_id\": \"tmm-dafasdfasdfasdf\",\n  \"stream\": true,\n  \"question\": \"Hello World\",\n  \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n  \"datasource_ids\": [\n    \"cm1gjmmoo0001h0x24uk1xgu9\"\n  ],\n  \"output_language\": \"AUTO\",\n  \"job_mode\": \"AUTO\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-pd-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://ai.data.cloud/api/v2/team/jobs")
  .header("x-pd-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"session_id\": \"cxxdgegeegeg3433fff\",\n  \"user_id\": \"tmm-dafasdfasdfasdf\",\n  \"stream\": true,\n  \"question\": \"Hello World\",\n  \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n  \"datasource_ids\": [\n    \"cm1gjmmoo0001h0x24uk1xgu9\"\n  ],\n  \"output_language\": \"AUTO\",\n  \"job_mode\": \"AUTO\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://ai.data.cloud/api/v2/team/jobs")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-pd-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"session_id\": \"cxxdgegeegeg3433fff\",\n  \"user_id\": \"tmm-dafasdfasdfasdf\",\n  \"stream\": true,\n  \"question\": \"Hello World\",\n  \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n  \"datasource_ids\": [\n    \"cm1gjmmoo0001h0x24uk1xgu9\"\n  ],\n  \"output_language\": \"AUTO\",\n  \"job_mode\": \"AUTO\"\n}"

response = http.request(request)
puts response.read_body

{
  "code": 0,
  "data": {
    "job_id": "job-cm3ikdeuj02zk01l1yeuirt77",
    "blocks": [
      {
        "type": "CODE",
        "content": "```python\n\nimport pandas as pd\n\ndef invoke(input_0: pd.DataFrame) -> pd.DataFrame:\n    '''\n    input_0: pd.DataFrame  makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv\n    '''\n    # Group by 'Year' and sum the deaths for each type of disaster\n    aggregated_data = input_0.groupby('Year').sum().reset_index()\n    \n    # Select only the columns related to deaths\n    death_columns = [\n        'Deaths - Drought (decadal)', 'Deaths - Flood (decadal)', \n        'Deaths - Earthquake (decadal)', 'Deaths - Extreme weather (decadal)', \n        'Deaths - Extreme temperature (decadal)', 'Deaths - Volcanic activity (decadal)', \n        'Deaths - Wildfire (decadal)', 'Deaths - Glacial lake outburst flood (decadal)', \n        'Deaths - Dry mass movement (decadal)', 'Deaths - Wet mass movement (decadal)', \n        'Deaths - Fog (decadal)'\n    ]\n    \n    # Create a new DataFrame with the aggregated results\n    output = aggregated_data[['Year'] + death_columns]\n    \n    # Rename columns to be more descriptive\n    output.columns = ['Decade'] + [col.replace('Deaths - ', '').replace(' (decadal)', '') for col in death_columns]\n    \n    return output\n\n```",
        "group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
        "group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
        "stage": "Analyze"
      },
      {
        "type": "TABLE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
          "name": "trend_data.csv",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
        "group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
        "stage": "Analyze"
      },
      {
        "type": "IMAGE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
          "name": "Trend of Deaths from Natural Disasters Over the Century",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "7501680b-5879-441b-bd96-f58b1029ae17",
        "group_name": "Visualize the trend data to show how the number of deaths from different types of natural disasters has changed over the past century. Use line charts to represent the trends for each disaster type, which will help in understanding the impact of measures and technological advancements on reducing deaths.",
        "stage": "Analyze"
      },
      {
        "type": "MESSAGE",
        "content": "\n\n`Analyzing Conclusions` \n\n### Analysis of Trends in the Number of Deaths from Natural Disasters \n\n#### Data Analysis\n\n",
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "TABLE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
          "name": "trend_data.csv",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "MESSAGE",
        "content": "\n\n- **Droughts and Floods**: In the early 20th century, droughts and floods caused extremely high death tolls, particularly during the 1920s and 1930s.\n- **Earthquakes and Extreme Weather**: Earthquakes and extreme weather also led to significant death tolls throughout the century, especially in the 1970s and 1990s.\n- **Extreme Temperatures and Volcanic Activity**: These disasters had relatively lower death tolls, but in certain decades, such as the 2000s, deaths caused by extreme temperatures increased.\n\n#### Trend Visualization\n\n",
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "IMAGE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
          "name": "Trend of Deaths from Natural Disasters Over the Century",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "MESSAGE",
        "content": "\n\n- **Overall Trend**: The chart shows that although certain decades experienced spikes in death tolls caused by natural disasters, the overall trend is declining.\n- **Impact of Technology and Measures**: Over time, advancements in technology and the implementation of disaster prevention measures are likely key factors in reducing death tolls.\n\n#### Conclusions and Insights\n- **Technological Advancements**: Modern technological progress, such as improved early warning systems and better construction techniques, may have reduced the fatalities caused by earthquakes and extreme weather.\n- **Disaster Prevention Measures**: The enhancement of disaster prevention measures and emergency response capabilities on a global scale has likely contributed to the decreased fatality rates of natural disasters.",
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "SOURCES",
        "content": [
          {
            "source": "makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv",
            "datasource_id": "clxin6l9200oo01l1457bolx3",
            "dataset_id": "clxin6l8400ok01l1ff2m0s25",
            "file_type": "csv"
          }
        ],
        "group_id": "",
        "group_name": "",
        "stage": "Respond"
      },
      {
        "type": "QUESTIONS",
        "content": [
          "Analyze the trends in death tolls from different types of natural disasters over the past century and explore which disaster types have shown the most significant reduction in fatalities.",
          "Study the technological advancements and measures in responding to natural disasters across different regions globally, and analyze how these differences have influenced changes in death tolls in each region.",
          "Explore how future technological advancements and policy measures could further reduce fatalities caused by natural disasters, and assess their feasibility and potential impacts."
        ],
        "group_id": "-1",
        "stage": "Respond"
      }
    ]
  }
}

{
  "code": 210021,
  "msg": "Job quota exceeded"
}

{
  "code": 1003,
  "msg": "insufficient.authentication"
}

{
  "code": 210020,
  "msg": "Something went wrong during job execution. Please try again."
}

POST

team

jobs

Create job

curl --request POST \
  --url https://ai.data.cloud/api/v2/team/jobs \
  --header 'Content-Type: application/json' \
  --header 'x-pd-api-key: <api-key>' \
  --data '
{
  "session_id": "cxxdgegeegeg3433fff",
  "user_id": "tmm-dafasdfasdfasdf",
  "stream": true,
  "question": "Hello World",
  "dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
  "datasource_ids": [
    "cm1gjmmoo0001h0x24uk1xgu9"
  ],
  "output_language": "AUTO",
  "job_mode": "AUTO"
}
'

import requests

url = "https://ai.data.cloud/api/v2/team/jobs"

payload = {
    "session_id": "cxxdgegeegeg3433fff",
    "user_id": "tmm-dafasdfasdfasdf",
    "stream": True,
    "question": "Hello World",
    "dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
    "datasource_ids": ["cm1gjmmoo0001h0x24uk1xgu9"],
    "output_language": "AUTO",
    "job_mode": "AUTO"
}
headers = {
    "x-pd-api-key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-pd-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    session_id: 'cxxdgegeegeg3433fff',
    user_id: 'tmm-dafasdfasdfasdf',
    stream: true,
    question: 'Hello World',
    dataset_id: 'cm1gjmg8e0057r3x22v1fdu8m',
    datasource_ids: ['cm1gjmmoo0001h0x24uk1xgu9'],
    output_language: 'AUTO',
    job_mode: 'AUTO'
  })
};

fetch('https://ai.data.cloud/api/v2/team/jobs', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://ai.data.cloud/api/v2/team/jobs",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'session_id' => 'cxxdgegeegeg3433fff',
    'user_id' => 'tmm-dafasdfasdfasdf',
    'stream' => true,
    'question' => 'Hello World',
    'dataset_id' => 'cm1gjmg8e0057r3x22v1fdu8m',
    'datasource_ids' => [
        'cm1gjmmoo0001h0x24uk1xgu9'
    ],
    'output_language' => 'AUTO',
    'job_mode' => 'AUTO'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-pd-api-key: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://ai.data.cloud/api/v2/team/jobs"

	payload := strings.NewReader("{\n  \"session_id\": \"cxxdgegeegeg3433fff\",\n  \"user_id\": \"tmm-dafasdfasdfasdf\",\n  \"stream\": true,\n  \"question\": \"Hello World\",\n  \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n  \"datasource_ids\": [\n    \"cm1gjmmoo0001h0x24uk1xgu9\"\n  ],\n  \"output_language\": \"AUTO\",\n  \"job_mode\": \"AUTO\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("x-pd-api-key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://ai.data.cloud/api/v2/team/jobs")
  .header("x-pd-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"session_id\": \"cxxdgegeegeg3433fff\",\n  \"user_id\": \"tmm-dafasdfasdfasdf\",\n  \"stream\": true,\n  \"question\": \"Hello World\",\n  \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n  \"datasource_ids\": [\n    \"cm1gjmmoo0001h0x24uk1xgu9\"\n  ],\n  \"output_language\": \"AUTO\",\n  \"job_mode\": \"AUTO\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://ai.data.cloud/api/v2/team/jobs")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["x-pd-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"session_id\": \"cxxdgegeegeg3433fff\",\n  \"user_id\": \"tmm-dafasdfasdfasdf\",\n  \"stream\": true,\n  \"question\": \"Hello World\",\n  \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n  \"datasource_ids\": [\n    \"cm1gjmmoo0001h0x24uk1xgu9\"\n  ],\n  \"output_language\": \"AUTO\",\n  \"job_mode\": \"AUTO\"\n}"

response = http.request(request)
puts response.read_body

{
  "code": 0,
  "data": {
    "job_id": "job-cm3ikdeuj02zk01l1yeuirt77",
    "blocks": [
      {
        "type": "CODE",
        "content": "```python\n\nimport pandas as pd\n\ndef invoke(input_0: pd.DataFrame) -> pd.DataFrame:\n    '''\n    input_0: pd.DataFrame  makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv\n    '''\n    # Group by 'Year' and sum the deaths for each type of disaster\n    aggregated_data = input_0.groupby('Year').sum().reset_index()\n    \n    # Select only the columns related to deaths\n    death_columns = [\n        'Deaths - Drought (decadal)', 'Deaths - Flood (decadal)', \n        'Deaths - Earthquake (decadal)', 'Deaths - Extreme weather (decadal)', \n        'Deaths - Extreme temperature (decadal)', 'Deaths - Volcanic activity (decadal)', \n        'Deaths - Wildfire (decadal)', 'Deaths - Glacial lake outburst flood (decadal)', \n        'Deaths - Dry mass movement (decadal)', 'Deaths - Wet mass movement (decadal)', \n        'Deaths - Fog (decadal)'\n    ]\n    \n    # Create a new DataFrame with the aggregated results\n    output = aggregated_data[['Year'] + death_columns]\n    \n    # Rename columns to be more descriptive\n    output.columns = ['Decade'] + [col.replace('Deaths - ', '').replace(' (decadal)', '') for col in death_columns]\n    \n    return output\n\n```",
        "group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
        "group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
        "stage": "Analyze"
      },
      {
        "type": "TABLE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
          "name": "trend_data.csv",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
        "group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
        "stage": "Analyze"
      },
      {
        "type": "IMAGE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
          "name": "Trend of Deaths from Natural Disasters Over the Century",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "7501680b-5879-441b-bd96-f58b1029ae17",
        "group_name": "Visualize the trend data to show how the number of deaths from different types of natural disasters has changed over the past century. Use line charts to represent the trends for each disaster type, which will help in understanding the impact of measures and technological advancements on reducing deaths.",
        "stage": "Analyze"
      },
      {
        "type": "MESSAGE",
        "content": "\n\n`Analyzing Conclusions` \n\n### Analysis of Trends in the Number of Deaths from Natural Disasters \n\n#### Data Analysis\n\n",
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "TABLE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
          "name": "trend_data.csv",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "MESSAGE",
        "content": "\n\n- **Droughts and Floods**: In the early 20th century, droughts and floods caused extremely high death tolls, particularly during the 1920s and 1930s.\n- **Earthquakes and Extreme Weather**: Earthquakes and extreme weather also led to significant death tolls throughout the century, especially in the 1970s and 1990s.\n- **Extreme Temperatures and Volcanic Activity**: These disasters had relatively lower death tolls, but in certain decades, such as the 2000s, deaths caused by extreme temperatures increased.\n\n#### Trend Visualization\n\n",
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "IMAGE",
        "content": {
          "url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
          "name": "Trend of Deaths from Natural Disasters Over the Century",
          "expires_at": "2024-11-21T09:56:34.290544Z"
        },
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "MESSAGE",
        "content": "\n\n- **Overall Trend**: The chart shows that although certain decades experienced spikes in death tolls caused by natural disasters, the overall trend is declining.\n- **Impact of Technology and Measures**: Over time, advancements in technology and the implementation of disaster prevention measures are likely key factors in reducing death tolls.\n\n#### Conclusions and Insights\n- **Technological Advancements**: Modern technological progress, such as improved early warning systems and better construction techniques, may have reduced the fatalities caused by earthquakes and extreme weather.\n- **Disaster Prevention Measures**: The enhancement of disaster prevention measures and emergency response capabilities on a global scale has likely contributed to the decreased fatality rates of natural disasters.",
        "group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
        "group_name": "Conclusions",
        "stage": "Respond"
      },
      {
        "type": "SOURCES",
        "content": [
          {
            "source": "makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv",
            "datasource_id": "clxin6l9200oo01l1457bolx3",
            "dataset_id": "clxin6l8400ok01l1ff2m0s25",
            "file_type": "csv"
          }
        ],
        "group_id": "",
        "group_name": "",
        "stage": "Respond"
      },
      {
        "type": "QUESTIONS",
        "content": [
          "Analyze the trends in death tolls from different types of natural disasters over the past century and explore which disaster types have shown the most significant reduction in fatalities.",
          "Study the technological advancements and measures in responding to natural disasters across different regions globally, and analyze how these differences have influenced changes in death tolls in each region.",
          "Explore how future technological advancements and policy measures could further reduce fatalities caused by natural disasters, and assess their feasibility and potential impacts."
        ],
        "group_id": "-1",
        "stage": "Respond"
      }
    ]
  }
}

{
  "code": 210021,
  "msg": "Job quota exceeded"
}

{
  "code": 1003,
  "msg": "insufficient.authentication"
}

{
  "code": 210020,
  "msg": "Something went wrong during job execution. Please try again."
}

Authorizations

x-pd-api-key

string

header

required

Headers

x-pd-external-trace-id

string

The trace ID you set in your system to trace this request. It can be up to 128 characters in length. If the request fails, you can provide it to the Powerdrill team to help with troubleshooting.

Body

application/json

session_id

string

required

The session ID.

To check sessions you created, call GET /v2/team/sessions.

question

string

required

The question you want Powerdrill to answer.

user_id

string

required

Your user ID, which uniquely identifies you within your team. To obtain your ID:

If you're the team admin, refer to Check user information.
If you're a system or virtual user, ask your team admin to check your user ID by referring to Check user information.

stream

boolean

default:false

Whether to use stream mode. If set to true, Powerdrill will send real-time updates to the client, delivering continuous data as it becomes available. If set to false, Powerdrill will return the full response only once the entire answer is ready.

If not specified, the default value false will be used.

For details about how to understand streaming responses, see "Content description" in Streaming.

dataset_id

string

The ID of the dataset to attach to the job.

To check the datasets you have access to, call GET /v2/team/datasets.

datasource_ids

string[]

Specifies the IDs of the data sources to use in the conversation, rather than the entire dataset. You can specify up to 1,000 data sources. This parameter is effective only when dataset_id is specified.

output_language

enum<string>

The language in which the output is generated. For example, if set to EN, the output will be in English. If not specified, the session's output_language setting will be used. Possible values are:

AUTO: adaptive recognition
EN: English
ES: Spanish
AR: Arabic
PT: Portuguese
ID: Indonesian
JA: Japanese
RU: Russian
HI: Hindi
FR: French
DE: German
VI: Vietnamese
TR: Turkish
PL: Polish
IT: Italian
KO: Korean
ZH-CN: Simplified Chinese
ZH-TW: Traditional Chinese

Available options:

AUTO,

EN,

ES,

AR,

PT,

ID,

JA,

RU,

HI,

FR,

DE,

VI,

TR,

PL,

IT,

KO,

ZH-CN,

ZH-TW

job_mode

enum<string>

default:AUTO

Job mode. Possible values are:

AUTO: Powerdrill automatically detects your intent and selects the appropriate mode for data analysis or information retrieval.
DATA_ANALYSIS: Powerdrill focuses solely on data analysis.

If not specified, the session's job_mode setting will be used.

Available options:

AUTO,

DATA_ANALYTICS

custom_options

object

A list of optional settings.

Show child attributes

Response

code

integer

required

Status code. 0 indicates that the operation is successful. Otherwise, the operation fails. For error troubleshooting, refer to Error Codes.

data

object

required

A job object.

Show child attributes

Delete session

Overview

Developer Guides

Datasets

Data sources

Files

Sessions

Jobs

Create job

Authorizations

Headers

Body

Response