Files
stegasoo/frontends/api/main.py
2025-12-31 13:11:34 -05:00

900 lines
29 KiB
Python

#!/usr/bin/env python3
"""
Stegasoo REST API (v3.0)
FastAPI-based REST API for steganography operations.
Supports both text messages and file embedding.
NEW in v3.0: LSB and DCT embedding modes.
"""
import io
import sys
import base64
from pathlib import Path
from typing import Optional, Literal
from datetime import date
from fastapi import FastAPI, HTTPException, UploadFile, File, Form, Query
from fastapi.responses import Response, JSONResponse
from pydantic import BaseModel, Field
# Add parent to path for development
sys.path.insert(0, str(Path(__file__).parent.parent.parent / 'src'))
import stegasoo
from stegasoo import (
encode, decode, generate_credentials,
validate_image, calculate_capacity,
get_day_from_date,
DAY_NAMES, __version__,
StegasooError, DecryptionError, CapacityError,
has_argon2,
FilePayload,
MAX_FILE_PAYLOAD_SIZE,
# NEW in v3.0 - Embedding modes
EMBED_MODE_LSB,
EMBED_MODE_DCT,
EMBED_MODE_AUTO,
has_dct_support,
compare_modes,
will_fit_by_mode,
calculate_capacity_by_mode,
)
from stegasoo.constants import (
MIN_PIN_LENGTH, MAX_PIN_LENGTH,
MIN_PHRASE_WORDS, MAX_PHRASE_WORDS,
VALID_RSA_SIZES,
)
# QR Code utilities
try:
from stegasoo.qr_utils import (
extract_key_from_qr,
has_qr_read,
)
HAS_QR_READ = has_qr_read()
except ImportError:
HAS_QR_READ = False
extract_key_from_qr = None
# ============================================================================
# FASTAPI APP
# ============================================================================
app = FastAPI(
title="Stegasoo API",
description="""
Secure steganography with hybrid authentication. Supports text messages and file embedding.
## Embedding Modes (v3.0)
- **LSB mode** (default): Spatial LSB embedding, full color output, higher capacity
- **DCT mode**: Frequency domain embedding, grayscale output, ~20% capacity, better stealth
Use the `/modes` endpoint to check availability and `/compare` to compare capacities.
""",
version=__version__,
docs_url="/docs",
redoc_url="/redoc",
)
# ============================================================================
# TYPE ALIASES
# ============================================================================
EmbedModeType = Literal["lsb", "dct"]
ExtractModeType = Literal["auto", "lsb", "dct"]
# ============================================================================
# MODELS
# ============================================================================
class GenerateRequest(BaseModel):
use_pin: bool = True
use_rsa: bool = False
pin_length: int = Field(default=6, ge=MIN_PIN_LENGTH, le=MAX_PIN_LENGTH)
rsa_bits: int = Field(default=2048)
words_per_phrase: int = Field(default=3, ge=MIN_PHRASE_WORDS, le=MAX_PHRASE_WORDS)
class GenerateResponse(BaseModel):
phrases: dict[str, str]
pin: Optional[str] = None
rsa_key_pem: Optional[str] = None
entropy: dict[str, int]
class EncodeRequest(BaseModel):
message: str
reference_photo_base64: str
carrier_image_base64: str
day_phrase: str
pin: str = ""
rsa_key_base64: Optional[str] = None
rsa_password: Optional[str] = None
date_str: Optional[str] = None
embed_mode: EmbedModeType = Field(
default="lsb",
description="Embedding mode: 'lsb' (default, color) or 'dct' (grayscale, requires scipy)"
)
class EncodeFileRequest(BaseModel):
"""Request for embedding a file (base64-encoded)."""
file_data_base64: str
filename: str
mime_type: Optional[str] = None
reference_photo_base64: str
carrier_image_base64: str
day_phrase: str
pin: str = ""
rsa_key_base64: Optional[str] = None
rsa_password: Optional[str] = None
date_str: Optional[str] = None
embed_mode: EmbedModeType = Field(
default="lsb",
description="Embedding mode: 'lsb' (default, color) or 'dct' (grayscale, requires scipy)"
)
class EncodeResponse(BaseModel):
stego_image_base64: str
filename: str
capacity_used_percent: float
date_used: str
day_of_week: str
embed_mode: str = Field(description="Embedding mode used: 'lsb' or 'dct'")
class DecodeRequest(BaseModel):
stego_image_base64: str
reference_photo_base64: str
day_phrase: str
pin: str = ""
rsa_key_base64: Optional[str] = None
rsa_password: Optional[str] = None
embed_mode: ExtractModeType = Field(
default="auto",
description="Extraction mode: 'auto' (default), 'lsb', or 'dct'"
)
class DecodeResponse(BaseModel):
"""Response for decode - can be text or file."""
payload_type: str # 'text' or 'file'
message: Optional[str] = None # For text
file_data_base64: Optional[str] = None # For file (base64-encoded)
filename: Optional[str] = None # For file
mime_type: Optional[str] = None # For file
class ModeCapacity(BaseModel):
"""Capacity info for a single mode."""
capacity_bytes: int
capacity_kb: float
available: bool
output_format: str
class ImageInfoResponse(BaseModel):
width: int
height: int
pixels: int
capacity_bytes: int = Field(description="LSB mode capacity (for backwards compatibility)")
capacity_kb: int = Field(description="LSB mode capacity in KB")
# NEW in v3.0
modes: Optional[dict[str, ModeCapacity]] = Field(
default=None,
description="Capacity by embedding mode (v3.0+)"
)
class CompareModesRequest(BaseModel):
"""Request for comparing embedding modes."""
carrier_image_base64: str
payload_size: Optional[int] = Field(
default=None,
description="Optional payload size to check if it fits"
)
class CompareModesResponse(BaseModel):
"""Response comparing LSB and DCT modes."""
width: int
height: int
lsb: dict
dct: dict
payload_check: Optional[dict] = None
recommendation: str
class ModesResponse(BaseModel):
"""Response showing available embedding modes."""
lsb: dict
dct: dict
class StatusResponse(BaseModel):
version: str
has_argon2: bool
has_qrcode_read: bool
has_dct: bool # NEW in v3.0
day_names: list[str]
max_payload_kb: int
available_modes: list[str] # NEW in v3.0
class QrExtractResponse(BaseModel):
success: bool
key_pem: Optional[str] = None
error: Optional[str] = None
class WillFitRequest(BaseModel):
"""Request to check if payload will fit."""
carrier_image_base64: str
payload_size: int
embed_mode: EmbedModeType = "lsb"
class WillFitResponse(BaseModel):
"""Response for will_fit check."""
fits: bool
payload_size: int
capacity: int
usage_percent: float
headroom: int
mode: str
class ErrorResponse(BaseModel):
error: str
detail: Optional[str] = None
# ============================================================================
# ROUTES - STATUS & INFO
# ============================================================================
@app.get("/", response_model=StatusResponse)
async def root():
"""Get API status and configuration."""
available_modes = ["lsb"]
if has_dct_support():
available_modes.append("dct")
return StatusResponse(
version=__version__,
has_argon2=has_argon2(),
has_qrcode_read=HAS_QR_READ,
has_dct=has_dct_support(),
day_names=list(DAY_NAMES),
max_payload_kb=MAX_FILE_PAYLOAD_SIZE // 1024,
available_modes=available_modes
)
@app.get("/modes", response_model=ModesResponse)
async def api_modes():
"""
Get available embedding modes and their status.
NEW in v3.0: Shows LSB and DCT mode availability.
"""
return ModesResponse(
lsb={
"available": True,
"name": "Spatial LSB",
"description": "Embed in pixel LSBs, outputs PNG/BMP",
"output_format": "PNG (color)",
"capacity_ratio": "100%",
},
dct={
"available": has_dct_support(),
"name": "DCT Domain",
"description": "Embed in DCT coefficients, outputs grayscale PNG",
"output_format": "PNG (grayscale)",
"capacity_ratio": "~20% of LSB",
"requires": "scipy",
}
)
@app.post("/compare", response_model=CompareModesResponse)
async def api_compare_modes(request: CompareModesRequest):
"""
Compare LSB and DCT embedding modes for a carrier image.
NEW in v3.0: Returns capacity for both modes and recommendation.
Optionally checks if a specific payload size would fit.
"""
try:
carrier = base64.b64decode(request.carrier_image_base64)
comparison = compare_modes(carrier)
response = CompareModesResponse(
width=comparison['width'],
height=comparison['height'],
lsb={
"capacity_bytes": comparison['lsb']['capacity_bytes'],
"capacity_kb": round(comparison['lsb']['capacity_kb'], 1),
"available": True,
"output_format": comparison['lsb']['output'],
},
dct={
"capacity_bytes": comparison['dct']['capacity_bytes'],
"capacity_kb": round(comparison['dct']['capacity_kb'], 1),
"available": comparison['dct']['available'],
"output_format": comparison['dct']['output'],
"ratio_vs_lsb_percent": round(comparison['dct']['ratio_vs_lsb'], 1),
},
recommendation="lsb" if not comparison['dct']['available'] else "dct for stealth, lsb for capacity"
)
if request.payload_size:
fits_lsb = request.payload_size <= comparison['lsb']['capacity_bytes']
fits_dct = request.payload_size <= comparison['dct']['capacity_bytes']
response.payload_check = {
"size_bytes": request.payload_size,
"fits_lsb": fits_lsb,
"fits_dct": fits_dct,
}
# Update recommendation based on payload
if fits_dct and comparison['dct']['available']:
response.recommendation = "dct (payload fits, better stealth)"
elif fits_lsb:
response.recommendation = "lsb (payload too large for dct)"
else:
response.recommendation = "none (payload too large for both modes)"
return response
except Exception as e:
raise HTTPException(500, str(e))
@app.post("/will-fit", response_model=WillFitResponse)
async def api_will_fit(request: WillFitRequest):
"""
Check if a payload of given size will fit in the carrier image.
NEW in v3.0: Supports both LSB and DCT modes.
"""
try:
# Validate mode
if request.embed_mode == "dct" and not has_dct_support():
raise HTTPException(400, "DCT mode requires scipy. Install with: pip install scipy")
carrier = base64.b64decode(request.carrier_image_base64)
result = will_fit_by_mode(request.payload_size, carrier, embed_mode=request.embed_mode)
return WillFitResponse(
fits=result['fits'],
payload_size=result['payload_size'],
capacity=result['capacity'],
usage_percent=round(result['usage_percent'], 1),
headroom=result['headroom'],
mode=request.embed_mode
)
except HTTPException:
raise
except Exception as e:
raise HTTPException(500, str(e))
# ============================================================================
# ROUTES - QR CODE
# ============================================================================
@app.post("/extract-key-from-qr", response_model=QrExtractResponse)
async def api_extract_key_from_qr(
qr_image: UploadFile = File(..., description="QR code image containing RSA key")
):
"""
Extract RSA key from a QR code image.
Supports both compressed (STEGASOO-Z: prefix) and uncompressed keys.
Returns the PEM-encoded key if found.
"""
if not HAS_QR_READ:
raise HTTPException(
501,
"QR code reading not available. Install pyzbar and libzbar."
)
try:
image_data = await qr_image.read()
key_pem = extract_key_from_qr(image_data)
if key_pem:
return QrExtractResponse(success=True, key_pem=key_pem)
else:
return QrExtractResponse(
success=False,
error="No valid RSA key found in QR code"
)
except Exception as e:
return QrExtractResponse(success=False, error=str(e))
# ============================================================================
# ROUTES - GENERATE
# ============================================================================
@app.post("/generate", response_model=GenerateResponse)
async def api_generate(request: GenerateRequest):
"""
Generate credentials for encoding/decoding.
At least one of use_pin or use_rsa must be True.
"""
if not request.use_pin and not request.use_rsa:
raise HTTPException(400, "Must enable at least one of use_pin or use_rsa")
if request.rsa_bits not in VALID_RSA_SIZES:
raise HTTPException(400, f"rsa_bits must be one of {VALID_RSA_SIZES}")
try:
creds = generate_credentials(
use_pin=request.use_pin,
use_rsa=request.use_rsa,
pin_length=request.pin_length,
rsa_bits=request.rsa_bits,
words_per_phrase=request.words_per_phrase
)
return GenerateResponse(
phrases=creds.phrases,
pin=creds.pin,
rsa_key_pem=creds.rsa_key_pem,
entropy={
"phrase": creds.phrase_entropy,
"pin": creds.pin_entropy,
"rsa": creds.rsa_entropy,
"total": creds.total_entropy
}
)
except Exception as e:
raise HTTPException(500, str(e))
# ============================================================================
# ROUTES - ENCODE (JSON)
# ============================================================================
@app.post("/encode", response_model=EncodeResponse)
async def api_encode(request: EncodeRequest):
"""
Encode a text message into an image.
Images must be base64-encoded. Returns base64-encoded stego image.
NEW in v3.0: Supports embed_mode parameter ('lsb' or 'dct').
"""
# Validate mode
if request.embed_mode == "dct" and not has_dct_support():
raise HTTPException(400, "DCT mode requires scipy. Install with: pip install scipy")
try:
ref_photo = base64.b64decode(request.reference_photo_base64)
carrier = base64.b64decode(request.carrier_image_base64)
rsa_key = base64.b64decode(request.rsa_key_base64) if request.rsa_key_base64 else None
result = encode(
message=request.message,
reference_photo=ref_photo,
carrier_image=carrier,
day_phrase=request.day_phrase,
pin=request.pin,
rsa_key_data=rsa_key,
rsa_password=request.rsa_password,
date_str=request.date_str,
embed_mode=request.embed_mode, # NEW in v3.0
)
stego_b64 = base64.b64encode(result.stego_image).decode('utf-8')
day_of_week = get_day_from_date(result.date_used)
return EncodeResponse(
stego_image_base64=stego_b64,
filename=result.filename,
capacity_used_percent=result.capacity_percent,
date_used=result.date_used,
day_of_week=day_of_week,
embed_mode=request.embed_mode,
)
except CapacityError as e:
raise HTTPException(400, str(e))
except StegasooError as e:
raise HTTPException(400, str(e))
except Exception as e:
raise HTTPException(500, str(e))
@app.post("/encode/file", response_model=EncodeResponse)
async def api_encode_file(request: EncodeFileRequest):
"""
Encode a file into an image (JSON with base64).
File data must be base64-encoded.
NEW in v3.0: Supports embed_mode parameter ('lsb' or 'dct').
"""
# Validate mode
if request.embed_mode == "dct" and not has_dct_support():
raise HTTPException(400, "DCT mode requires scipy. Install with: pip install scipy")
try:
file_data = base64.b64decode(request.file_data_base64)
ref_photo = base64.b64decode(request.reference_photo_base64)
carrier = base64.b64decode(request.carrier_image_base64)
rsa_key = base64.b64decode(request.rsa_key_base64) if request.rsa_key_base64 else None
payload = FilePayload(
data=file_data,
filename=request.filename,
mime_type=request.mime_type
)
result = encode(
message=payload,
reference_photo=ref_photo,
carrier_image=carrier,
day_phrase=request.day_phrase,
pin=request.pin,
rsa_key_data=rsa_key,
rsa_password=request.rsa_password,
date_str=request.date_str,
embed_mode=request.embed_mode, # NEW in v3.0
)
stego_b64 = base64.b64encode(result.stego_image).decode('utf-8')
day_of_week = get_day_from_date(result.date_used)
return EncodeResponse(
stego_image_base64=stego_b64,
filename=result.filename,
capacity_used_percent=result.capacity_percent,
date_used=result.date_used,
day_of_week=day_of_week,
embed_mode=request.embed_mode,
)
except CapacityError as e:
raise HTTPException(400, str(e))
except StegasooError as e:
raise HTTPException(400, str(e))
except Exception as e:
raise HTTPException(500, str(e))
# ============================================================================
# ROUTES - DECODE (JSON)
# ============================================================================
@app.post("/decode", response_model=DecodeResponse)
async def api_decode(request: DecodeRequest):
"""
Decode a message or file from a stego image.
Returns payload_type to indicate if result is text or file.
NEW in v3.0: Supports embed_mode parameter ('auto', 'lsb', or 'dct').
With 'auto' (default), tries LSB first then DCT.
"""
# Validate mode
if request.embed_mode == "dct" and not has_dct_support():
raise HTTPException(400, "DCT mode requires scipy. Install with: pip install scipy")
try:
stego = base64.b64decode(request.stego_image_base64)
ref_photo = base64.b64decode(request.reference_photo_base64)
rsa_key = base64.b64decode(request.rsa_key_base64) if request.rsa_key_base64 else None
result = decode(
stego_image=stego,
reference_photo=ref_photo,
day_phrase=request.day_phrase,
pin=request.pin,
rsa_key_data=rsa_key,
rsa_password=request.rsa_password,
embed_mode=request.embed_mode, # NEW in v3.0
)
if result.is_file:
return DecodeResponse(
payload_type='file',
file_data_base64=base64.b64encode(result.file_data).decode('utf-8'),
filename=result.filename,
mime_type=result.mime_type
)
else:
return DecodeResponse(
payload_type='text',
message=result.message
)
except DecryptionError as e:
raise HTTPException(401, "Decryption failed. Check credentials.")
except StegasooError as e:
raise HTTPException(400, str(e))
except Exception as e:
raise HTTPException(500, str(e))
# ============================================================================
# ROUTES - ENCODE/DECODE (MULTIPART)
# ============================================================================
@app.post("/encode/multipart")
async def api_encode_multipart(
day_phrase: str = Form(...),
reference_photo: UploadFile = File(...),
carrier: UploadFile = File(...),
message: str = Form(""),
payload_file: Optional[UploadFile] = File(None),
pin: str = Form(""),
rsa_key: Optional[UploadFile] = File(None),
rsa_key_qr: Optional[UploadFile] = File(None),
rsa_password: str = Form(""),
date_str: str = Form(""),
embed_mode: str = Form("lsb"), # NEW in v3.0
):
"""
Encode using multipart form data (file uploads).
Provide either 'message' (text) or 'payload_file' (binary file).
RSA key can be provided as 'rsa_key' (.pem file) or 'rsa_key_qr' (QR code image).
Returns the stego image directly as PNG with metadata headers.
NEW in v3.0: Supports embed_mode parameter ('lsb' or 'dct').
"""
# Validate mode
if embed_mode not in ("lsb", "dct"):
raise HTTPException(400, "embed_mode must be 'lsb' or 'dct'")
if embed_mode == "dct" and not has_dct_support():
raise HTTPException(400, "DCT mode requires scipy. Install with: pip install scipy")
try:
ref_data = await reference_photo.read()
carrier_data = await carrier.read()
# Handle RSA key from .pem file or QR code image
rsa_key_data = None
rsa_key_from_qr = False
if rsa_key and rsa_key.filename:
rsa_key_data = await rsa_key.read()
elif rsa_key_qr and rsa_key_qr.filename:
if not HAS_QR_READ:
raise HTTPException(
501,
"QR code reading not available. Install pyzbar and libzbar."
)
qr_image_data = await rsa_key_qr.read()
key_pem = extract_key_from_qr(qr_image_data)
if not key_pem:
raise HTTPException(400, "Could not extract RSA key from QR code image")
rsa_key_data = key_pem.encode('utf-8')
rsa_key_from_qr = True
# QR code keys are never password-protected
effective_password = None if rsa_key_from_qr else (rsa_password if rsa_password else None)
# Determine payload
if payload_file and payload_file.filename:
file_data = await payload_file.read()
payload = FilePayload(
data=file_data,
filename=payload_file.filename,
mime_type=payload_file.content_type
)
elif message:
payload = message
else:
raise HTTPException(400, "Must provide either 'message' or 'payload_file'")
result = encode(
message=payload,
reference_photo=ref_data,
carrier_image=carrier_data,
day_phrase=day_phrase,
pin=pin,
rsa_key_data=rsa_key_data,
rsa_password=effective_password,
date_str=date_str if date_str else None,
embed_mode=embed_mode, # NEW in v3.0
)
day_of_week = get_day_from_date(result.date_used)
return Response(
content=result.stego_image,
media_type="image/png",
headers={
"Content-Disposition": f"attachment; filename={result.filename}",
"X-Stegasoo-Date": result.date_used,
"X-Stegasoo-Day": day_of_week,
"X-Stegasoo-Capacity-Percent": f"{result.capacity_percent:.1f}",
"X-Stegasoo-Embed-Mode": embed_mode, # NEW in v3.0
}
)
except CapacityError as e:
raise HTTPException(400, str(e))
except StegasooError as e:
raise HTTPException(400, str(e))
except HTTPException:
raise
except Exception as e:
raise HTTPException(500, str(e))
@app.post("/decode/multipart", response_model=DecodeResponse)
async def api_decode_multipart(
day_phrase: str = Form(...),
reference_photo: UploadFile = File(...),
stego_image: UploadFile = File(...),
pin: str = Form(""),
rsa_key: Optional[UploadFile] = File(None),
rsa_key_qr: Optional[UploadFile] = File(None),
rsa_password: str = Form(""),
embed_mode: str = Form("auto"), # NEW in v3.0
):
"""
Decode using multipart form data (file uploads).
RSA key can be provided as 'rsa_key' (.pem file) or 'rsa_key_qr' (QR code image).
Returns JSON with payload_type indicating text or file.
NEW in v3.0: Supports embed_mode parameter ('auto', 'lsb', or 'dct').
"""
# Validate mode
if embed_mode not in ("auto", "lsb", "dct"):
raise HTTPException(400, "embed_mode must be 'auto', 'lsb', or 'dct'")
if embed_mode == "dct" and not has_dct_support():
raise HTTPException(400, "DCT mode requires scipy. Install with: pip install scipy")
try:
ref_data = await reference_photo.read()
stego_data = await stego_image.read()
# Handle RSA key from .pem file or QR code image
rsa_key_data = None
rsa_key_from_qr = False
if rsa_key and rsa_key.filename:
rsa_key_data = await rsa_key.read()
elif rsa_key_qr and rsa_key_qr.filename:
if not HAS_QR_READ:
raise HTTPException(
501,
"QR code reading not available. Install pyzbar and libzbar."
)
qr_image_data = await rsa_key_qr.read()
key_pem = extract_key_from_qr(qr_image_data)
if not key_pem:
raise HTTPException(400, "Could not extract RSA key from QR code image")
rsa_key_data = key_pem.encode('utf-8')
rsa_key_from_qr = True
# QR code keys are never password-protected
effective_password = None if rsa_key_from_qr else (rsa_password if rsa_password else None)
result = decode(
stego_image=stego_data,
reference_photo=ref_data,
day_phrase=day_phrase,
pin=pin,
rsa_key_data=rsa_key_data,
rsa_password=effective_password,
embed_mode=embed_mode, # NEW in v3.0
)
if result.is_file:
return DecodeResponse(
payload_type='file',
file_data_base64=base64.b64encode(result.file_data).decode('utf-8'),
filename=result.filename,
mime_type=result.mime_type
)
else:
return DecodeResponse(
payload_type='text',
message=result.message
)
except DecryptionError:
raise HTTPException(401, "Decryption failed. Check credentials.")
except StegasooError as e:
raise HTTPException(400, str(e))
except HTTPException:
raise
except Exception as e:
raise HTTPException(500, str(e))
# ============================================================================
# ROUTES - IMAGE INFO
# ============================================================================
@app.post("/image/info", response_model=ImageInfoResponse)
async def api_image_info(
image: UploadFile = File(...),
include_modes: bool = Query(True, description="Include capacity by mode (v3.0+)")
):
"""
Get information about an image's capacity.
NEW in v3.0: Optionally includes capacity for both LSB and DCT modes.
"""
try:
image_data = await image.read()
result = validate_image(image_data, check_size=False)
if not result.is_valid:
raise HTTPException(400, result.error_message)
capacity = calculate_capacity(image_data)
response = ImageInfoResponse(
width=result.details['width'],
height=result.details['height'],
pixels=result.details['pixels'],
capacity_bytes=capacity,
capacity_kb=capacity // 1024
)
# NEW in v3.0 - include mode comparison
if include_modes:
comparison = compare_modes(image_data)
response.modes = {
"lsb": ModeCapacity(
capacity_bytes=comparison['lsb']['capacity_bytes'],
capacity_kb=round(comparison['lsb']['capacity_kb'], 1),
available=True,
output_format=comparison['lsb']['output'],
),
"dct": ModeCapacity(
capacity_bytes=comparison['dct']['capacity_bytes'],
capacity_kb=round(comparison['dct']['capacity_kb'], 1),
available=comparison['dct']['available'],
output_format=comparison['dct']['output'],
),
}
return response
except HTTPException:
raise
except Exception as e:
raise HTTPException(500, str(e))
# ============================================================================
# ERROR HANDLERS
# ============================================================================
@app.exception_handler(StegasooError)
async def stegasoo_error_handler(request, exc):
return JSONResponse(
status_code=400,
content={"error": type(exc).__name__, "detail": str(exc)}
)
# ============================================================================
# MAIN
# ============================================================================
if __name__ == '__main__':
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8000)