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7e25f7a 23d337e 7e25f7a 23d337e 7e25f7a 23d337e 7e25f7a 23d337e 9bd3ee0 23d337e 9bd3ee0 7e25f7a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | """Analysis routes — image_analysis / metadata / forensics / ocr / objects / scene / nsfw / ai_detection / embedding / forensic_metadata."""
from __future__ import annotations
from typing import List, Optional
from fastapi import APIRouter, Depends
from pydantic import BaseModel
from api.deps import (
get_analysis_service,
get_forensic_metadata_service,
get_object_intelligence_service,
get_location_intelligence_service,
get_correlation_engine_service,
)
from models.jobs import JobKind, JobRequest
from services.analysis_service import AnalysisService
from services.forensic_metadata_service import ForensicMetadataService
from services.object_intelligence_service import ObjectIntelligenceService
from services.location_intelligence_service import LocationIntelligenceService
from services.correlation_engine_service import CorrelationEngineService
router = APIRouter()
class AnalysisRequest(BaseModel):
image_url: Optional[str] = None
image_base64: Optional[str] = None
providers: List[str] = []
class LocationRequest(BaseModel):
image_url: Optional[str] = None
image_base64: Optional[str] = None
providers: List[str] = []
# Optional pre-computed evidence (caller can pass OCR text, plate text, etc.)
ocr_text: Optional[str] = None
plate_text: Optional[str] = None
scene_label: Optional[str] = None
objects: Optional[List[dict]] = None
@router.post("/image")
async def analyze_image(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run image-quality + properties analysis."""
job_req = JobRequest(
kind=JobKind.IMAGE_ANALYSIS,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/metadata")
async def extract_metadata(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Extract EXIF / XMP / IPTC metadata."""
job_req = JobRequest(
kind=JobKind.METADATA,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/forensics")
async def forensics_analysis(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run forensics: integrity, duplicate detection, ELA, manipulation analysis."""
job_req = JobRequest(
kind=JobKind.FORENSICS,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/ocr")
async def ocr_analysis(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run OCR text extraction."""
job_req = JobRequest(
kind=JobKind.OCR,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/objects")
async def object_detection(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run object detection (YOLOv8)."""
job_req = JobRequest(
kind=JobKind.OBJECT_DETECTION,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/scene")
async def scene_classification(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run scene classification (Places365)."""
job_req = JobRequest(
kind=JobKind.SCENE_RECOGNITION,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/nsfw")
async def nsfw_detection(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run NSFW detection (NudeNet)."""
job_req = JobRequest(
kind=JobKind.NSFW_DETECTION,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/ai-detection")
async def ai_image_detection(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Run AI-generated image detection (LAID)."""
job_req = JobRequest(
kind=JobKind.AI_IMAGE_DETECTION,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/embedding")
async def image_embedding(req: AnalysisRequest,
svc: AnalysisService = Depends(get_analysis_service)):
"""Generate image embedding (EfficientNet-Lite)."""
job_req = JobRequest(
kind=JobKind.EMBEDDING,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/forensic-metadata")
async def forensic_metadata(req: AnalysisRequest,
svc: ForensicMetadataService = Depends(get_forensic_metadata_service)):
"""Extract comprehensive forensic metadata: EXIF, GPS, ICC, thumbnail,
editing history, camera fingerprint, compression analysis."""
job_req = JobRequest(
kind=JobKind.METADATA,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/object-intelligence")
async def object_intelligence(
req: AnalysisRequest,
svc: ObjectIntelligenceService = Depends(get_object_intelligence_service),
):
"""Run object intelligence: YOLO + QR codes + barcodes with crops + classification."""
job_req = JobRequest(
kind=JobKind.OBJECT_DETECTION,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
)
return await svc.analyze(job_req)
@router.post("/location")
async def location_intelligence(
req: LocationRequest,
svc: LocationIntelligenceService = Depends(get_location_intelligence_service),
):
"""Estimate image capture location from GPS + OCR + language + scene + objects."""
options: dict = {}
if req.ocr_text:
options["ocr_text"] = req.ocr_text
if req.plate_text:
options["plate_text"] = req.plate_text
if req.scene_label:
options["scene_label"] = req.scene_label
if req.objects:
options["objects"] = req.objects
job_req = JobRequest(
kind=None,
image_url=req.image_url,
image_base64=req.image_base64,
providers=req.providers,
options=options,
)
return await svc.analyze(job_req)
class CorrelateRequest(BaseModel):
"""A pre-computed UnifiedFaceReport to correlate."""
report: dict
@router.post("/correlate")
async def correlate(
req: CorrelateRequest,
svc: CorrelationEngineService = Depends(get_correlation_engine_service),
):
"""Correlate evidence in a pre-computed report into a relationship graph.
Accepts a UnifiedFaceReport (the output of any analysis job) and
builds a deterministic correlation graph of relationships between
faces, objects, locations, metadata, hashes, and embeddings.
"""
return await svc.correlate(req.report)
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