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import requests
import base64
import numpy as np
import soundfile as sf
import io
def create_dummy_audio():
# Generate 1 second of silence/sine wave
sr = 16000
t = np.linspace(0, 1.0, int(sr*1.0))
y = 0.5 * np.sin(2 * np.pi * 440 * t) # 440Hz sine wave
# Save to memory buffer as WAV (librosa handles it fine, and easier than MP3 encoding without external tools valid in python-only)
# The API expects MP3 but librosa.load can handle WAV if the mime type or header is detected,
# or we can try to find a way to encode MP3 if essential.
# The requirement says "Base64-encoded MP3 audio".
# But usually decoders are flexible. Let's send a WAV and see if it works,
# if strictly MP3 is enforced by a validator, we might fail.
# But for our own logic: `librosa.load` supports whatever `soundfile` or `audioread` supports.
buffer = io.BytesIO()
sf.write(buffer, y, sr, format='WAV')
buffer.seek(0)
return buffer.read()
def test_api():
url = "http://127.0.0.1:8000/detect"
api_key = "my_secure_api_key_2024"
audio_bytes = create_dummy_audio()
b64_audio = base64.b64encode(audio_bytes).decode('utf-8')
payload = {
"audio_base64": b64_audio,
"language": "en"
}
headers = {
"X-API-Key": api_key,
"Content-Type": "application/json"
}
try:
response = requests.post(url, json=payload, headers=headers)
print(f"Status Code: {response.status_code}")
print(f"Response: {response.json()}")
except Exception as e:
print(f"Test Failed: {e}")
if __name__ == "__main__":
test_api()
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