import requests

url = "https://app.langwatch.ai/api/analytics/timeseries"

payload = {
    "startDate": 123,
    "endDate": 123,
    "series": [
        {
            "key": "<string>",
            "subkey": "<string>",
            "filters": {
                "topics.topics": ["<string>"],
                "topics.subtopics": ["<string>"],
                "metadata.user_id": ["<string>"],
                "metadata.thread_id": ["<string>"],
                "metadata.customer_id": ["<string>"],
                "metadata.labels": ["<string>"],
                "metadata.key": ["<string>"],
                "metadata.value": ["<string>"],
                "metadata.prompt_ids": ["<string>"],
                "traces.origin": ["<string>"],
                "traces.error": ["<string>"],
                "traces.name": ["<string>"],
                "spans.type": ["<string>"],
                "spans.model": ["<string>"],
                "evaluations.evaluator_id": ["<string>"],
                "evaluations.evaluator_id.guardrails_only": ["<string>"],
                "evaluations.evaluator_id.has_passed": ["<string>"],
                "evaluations.evaluator_id.has_score": ["<string>"],
                "evaluations.evaluator_id.has_label": ["<string>"],
                "evaluations.passed": ["<string>"],
                "evaluations.score": ["<string>"],
                "evaluations.state": ["<string>"],
                "evaluations.label": ["<string>"],
                "events.event_type": ["<string>"],
                "events.metrics.key": ["<string>"],
                "events.metrics.value": ["<string>"],
                "events.event_details.key": ["<string>"],
                "annotations.hasAnnotation": ["<string>"]
            },
            "asPercent": True
        }
    ],
    "timeZone": "<string>"
}
headers = {
    "X-Auth-Token": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-Auth-Token': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    startDate: 123,
    endDate: 123,
    series: [
      {
        key: '<string>',
        subkey: '<string>',
        filters: {
          'topics.topics': ['<string>'],
          'topics.subtopics': ['<string>'],
          'metadata.user_id': ['<string>'],
          'metadata.thread_id': ['<string>'],
          'metadata.customer_id': ['<string>'],
          'metadata.labels': ['<string>'],
          'metadata.key': ['<string>'],
          'metadata.value': ['<string>'],
          'metadata.prompt_ids': ['<string>'],
          'traces.origin': ['<string>'],
          'traces.error': ['<string>'],
          'traces.name': ['<string>'],
          'spans.type': ['<string>'],
          'spans.model': ['<string>'],
          'evaluations.evaluator_id': ['<string>'],
          'evaluations.evaluator_id.guardrails_only': ['<string>'],
          'evaluations.evaluator_id.has_passed': ['<string>'],
          'evaluations.evaluator_id.has_score': ['<string>'],
          'evaluations.evaluator_id.has_label': ['<string>'],
          'evaluations.passed': ['<string>'],
          'evaluations.score': ['<string>'],
          'evaluations.state': ['<string>'],
          'evaluations.label': ['<string>'],
          'events.event_type': ['<string>'],
          'events.metrics.key': ['<string>'],
          'events.metrics.value': ['<string>'],
          'events.event_details.key': ['<string>'],
          'annotations.hasAnnotation': ['<string>']
        },
        asPercent: true
      }
    ],
    timeZone: '<string>'
  })
};

fetch('https://app.langwatch.ai/api/analytics/timeseries', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

curl --request POST \
  --url https://app.langwatch.ai/api/analytics/timeseries \
  --header 'Content-Type: application/json' \
  --header 'X-Auth-Token: <api-key>' \
  --data '
{
  "startDate": 123,
  "endDate": 123,
  "series": [
    {
      "key": "<string>",
      "subkey": "<string>",
      "filters": {
        "topics.topics": [
          "<string>"
        ],
        "topics.subtopics": [
          "<string>"
        ],
        "metadata.user_id": [
          "<string>"
        ],
        "metadata.thread_id": [
          "<string>"
        ],
        "metadata.customer_id": [
          "<string>"
        ],
        "metadata.labels": [
          "<string>"
        ],
        "metadata.key": [
          "<string>"
        ],
        "metadata.value": [
          "<string>"
        ],
        "metadata.prompt_ids": [
          "<string>"
        ],
        "traces.origin": [
          "<string>"
        ],
        "traces.error": [
          "<string>"
        ],
        "traces.name": [
          "<string>"
        ],
        "spans.type": [
          "<string>"
        ],
        "spans.model": [
          "<string>"
        ],
        "evaluations.evaluator_id": [
          "<string>"
        ],
        "evaluations.evaluator_id.guardrails_only": [
          "<string>"
        ],
        "evaluations.evaluator_id.has_passed": [
          "<string>"
        ],
        "evaluations.evaluator_id.has_score": [
          "<string>"
        ],
        "evaluations.evaluator_id.has_label": [
          "<string>"
        ],
        "evaluations.passed": [
          "<string>"
        ],
        "evaluations.score": [
          "<string>"
        ],
        "evaluations.state": [
          "<string>"
        ],
        "evaluations.label": [
          "<string>"
        ],
        "events.event_type": [
          "<string>"
        ],
        "events.metrics.key": [
          "<string>"
        ],
        "events.metrics.value": [
          "<string>"
        ],
        "events.event_details.key": [
          "<string>"
        ],
        "annotations.hasAnnotation": [
          "<string>"
        ]
      },
      "asPercent": true
    }
  ],
  "timeZone": "<string>"
}
'

{
  "currentPeriod": [
    {}
  ],
  "previousPeriod": [
    {}
  ]
}

{
  "error": "<string>",
  "message": "<string>"
}

{
  "error": "<string>",
  "message": "<string>"
}

{
  "error": "<string>",
  "message": "<string>"
}

{
  "error": "<string>",
  "message": "<string>"
}