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# Get Video Analysis

GET https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/{session_id}

Fetch the saved video analysis for a session.
Responses may be in-flight, complete, or failed.


Reference: https://dev.neurologyca.com/soft-skills/api-reference/get-full-analysis-status

## Authentication

- `Authorization` header (bearer token, required) — Your API key (e.g. ng\_xxx...). The Try it and generated code send it as `Authorization: Bearer <key>`. Alternatively use the X-API-Key header with the raw key.
- `X-API-Key` header (required) — Alternative authentication header. Send the raw API key as `X-API-Key: <token>`.

## Servers

- `https://softskills-api-b1f382ab39be.herokuapp.com` (Softskills API, default)
- `http://127.0.0.1:8000` (Local development API)

## Request

### Path parameters

- `session_id` (string, required) — Session identifier returned by the full-analysis pipeline.

## Response

### 200

Current saved analysis state for the session.

- `status` (enum, required)
  - Allowed values: `pending`, `processing`, `complete`, `failed`
- `sessionId` (string, required)
- `userId` (string, required)
- `createdAt` (datetime, required)
- `updatedAt` (datetime, required)
- `jobId` (string, required, nullable)
- `progress` (FullAnalysisProgress, required, nullable)
- `result` (FullAnalysisResult, required, nullable)
- `error` (string, required, nullable)

## Errors

### 401 Unauthorized Error

Missing or invalid API key.

- `detail` (string, optional)

### 404 Not Found Error

Job not found or expired.

- `detail` (string, optional)

### 500 Internal Server Error

Internal pipeline error.

- `detail` (string, optional)

## Types

### FullAnalysisProgress

- `phase` (enum, required)
  - Allowed values: `gemini`, `transcribe`, `frames`, `kpn_upload`, `polling`, `enrich`
- `kpnPackagesSent` (integer, required)
- `kpnPackagesTotal` (integer, required, nullable)
- `enginePolls` (integer, required)

### FullAnalysisResult

- `video_analysis` (VideoAnalysis, required)
- `biometric_analysis` (BiometricAnalysis, required)
- `transcript` (string, required, nullable)

### VideoAnalysis

- `overall_score` (double, required)
- `category_scores` (map from string to double, required)
- `strengths` (list of string, required)
- `areas_for_improvement` (list of string, required)
- `filler_word_count` (integer, required)
- `speaking_pace_wpm` (double, required)
- `labeled_moments` (list of VideoAnalysisLabeledMomentsItems, required)
- `time_series_scores` (list of VideoAnalysisTimeSeriesScoresItems, required)
- `detailed_feedback` (string, required)
- `session_summary` (string, required)
- `recommendation` (string, required)

### BiometricAnalysis

- `classification` (string, optional)
- `coherence_level` (string, optional)
- `cognitive_effort_level` (string, optional)
- `emotion` (string, optional)
- `emotion_valence` (double, optional)
- `emotion_intensity` (double, optional)
- `emotion_quadrant` (integer, optional)
- `cognitive_summary` (string, optional)
- `emotional_summary` (string, optional)
- `behavioral_summary` (string, optional)
- `adaptive_context` (string, optional)
- `governance_rationale` (string, optional)
- `governance_confidence` (double, optional)
- `recommended_actions` (list of string, optional)
- `action_flags` (map from string to boolean, optional)
- `hci_priorities` (map from string to double, optional)
- `scientific_context` (string, optional)
- `model_version` (string, optional)
- `latency_ms` (double, optional)

### VideoAnalysisLabeledMomentsItems

- `timestamp` (string, optional)
- `label` (string, optional)
- `text` (string, optional)

### VideoAnalysisTimeSeriesScoresItems

- `timestamp` (string, optional)
- `likeability` (double, optional)
- `authenticity` (double, optional)
- `clarity` (double, optional)
- `confidence` (double, optional)

## Examples

**Request**

```json
{}
```

**Response**

```json
{
  "status": "processing",
  "sessionId": "a3f47b9e-8c2d-4f1a-9b7e-2d5f3c6a7e8b",
  "userId": "user_987654321",
  "createdAt": "2024-01-15T09:30:00Z",
  "updatedAt": "2024-01-15T10:00:00Z",
  "jobId": "d290f1ee-6c54-4b01-90e6-d701748f0851",
  "progress": {
    "phase": "transcribe",
    "kpnPackagesSent": 5,
    "kpnPackagesTotal": 10,
    "enginePolls": 3
  },
  "result": {
    "video_analysis": {
      "overall_score": 7.8,
      "category_scores": {
        "clarity": 8.2,
        "confidence": 7.5,
        "likeability": 7.9,
        "authenticity": 7.6
      },
      "strengths": [
        "Clear articulation",
        "Engaging tone"
      ],
      "areas_for_improvement": [
        "Reduce filler words",
        "Improve eye contact"
      ],
      "filler_word_count": 12,
      "speaking_pace_wpm": 130.5,
      "labeled_moments": [
        {
          "timestamp": "00:01:15",
          "label": "Strong Point",
          "text": "Confident explanation of key concept"
        }
      ],
      "time_series_scores": [
        {
          "timestamp": "00:00:30",
          "likeability": 7.5,
          "authenticity": 7.8,
          "clarity": 8,
          "confidence": 7.2
        }
      ],
      "detailed_feedback": "Maintain steady eye contact and reduce use of filler words to improve overall delivery.",
      "session_summary": "The speaker demonstrated strong clarity and confidence but should focus on reducing filler words.",
      "recommendation": "Practice with a focus on pacing and eye contact exercises."
    },
    "biometric_analysis": {
      "classification": "normal",
      "coherence_level": "high",
      "cognitive_effort_level": "moderate",
      "emotion": "calm",
      "emotion_valence": 0.75,
      "emotion_intensity": 0.6,
      "emotion_quadrant": 2,
      "cognitive_summary": "The speaker showed good cognitive engagement with moderate effort.",
      "emotional_summary": "Emotionally calm and composed throughout the session.",
      "behavioral_summary": "Consistent posture and minimal distracting gestures.",
      "adaptive_context": "Adapted well to the speaking environment.",
      "governance_rationale": "Analysis based on biometric sensor data and video cues.",
      "governance_confidence": 0.92,
      "recommended_actions": [
        "Continue practicing breathing techniques",
        "Incorporate mindfulness exercises"
      ],
      "action_flags": {
        "needs_follow_up": false,
        "high_stress_detected": false
      },
      "hci_priorities": {
        "focus_on_emotion": 0.8,
        "focus_on_cognition": 0.7
      },
      "scientific_context": "Based on latest biometric and behavioral research models.",
      "model_version": "v2.3.1",
      "latency_ms": 250.5
    },
    "transcript": "Good morning everyone, today I will be discussing the key aspects of effective communication..."
  }
}
```

**SDK Code**

```python
import requests

url = "https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id"

payload = {}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.json())
```

```javascript
const url = 'https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id';
const options = {
  method: 'GET',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go
package main

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

func main() {

	url := "https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id"

	payload := strings.NewReader("{}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby
require 'uri'
require 'net/http'

url = URI("https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{}"

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

```java
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.get("https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{}")
  .asString();
```

```php
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('GET', 'https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id', [
  'body' => '{}',
  'headers' => [
    'Authorization' => 'Bearer <token>',
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();
```

```csharp
using RestSharp;

var client = new RestClient("https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id");
var request = new RestRequest(Method.GET);
request.AddHeader("Authorization", "Bearer <token>");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift
import Foundation

let headers = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
let parameters = [] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://softskills-api-b1f382ab39be.herokuapp.com/api/v1/full-analysis/session_id")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "GET"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```