removed all remnants of FILE_REFIMG_LINK

pa_job_manager.py

@@ -150,16 +150,6 @@ class Entry(Base):
     def __repr__(self):
         return f"<id: {self.id}, name: {self.name}, type={self.type}, exists_on_fs={self.exists_on_fs}, dir_details={self.dir_details}, file_details={self.file_details}, in_dir={self.in_dir}>"
 
-class FileRefimgLink(Base):
-    __tablename__ = "file_refimg_link"
-    file_id = Column(Integer, ForeignKey('file.eid'), unique=True, nullable=False, primary_key=True)
-    refimg_id = Column(Integer, ForeignKey('refimg.id'), unique=True, nullable=False, primary_key=True)
-    when_processed = Column(Float)
-    matched = Column(Boolean)
-
-    def __repr__(self):
-        return f"<file_id: {self.file_id}, refimg_id: {self.refimg_id} when_processed={self.when_processed}, matched={self.matched}"
-
 class File(Base):
     __tablename__ = "file"
     eid = Column(Integer, ForeignKey("entry.id"), primary_key=True )
@@ -533,7 +523,6 @@ def JobForceScan(job):
     session.query(FaceFileLink).delete()
     session.query(FaceRefimgLink).delete()
     session.query(DelFile).delete()
-    session.query(FileRefimgLink).delete()
     session.query(EntryDirLink).delete()
     session.query(PathDirLink).delete()
     session.query(Path).delete()
@@ -1062,27 +1051,9 @@ def ProcessAI(job, e):
     return
 
 def lookForPersonInImage(job, person, unknown_encoding, e):
-    for refimg in person.refimg:
-        # lets see if we have tried this check before
-        frl=session.query(FileRefimgLink).filter(FileRefimgLink.file_id==e.id, FileRefimgLink.refimg_id==refimg.id).first()
-        if not frl:
-            frl = FileRefimgLink(refimg_id=refimg.id, file_id=e.file_details.eid)
-        else: 
-            stat=os.stat( e.FullPathOnFS() )
-            # file & refimg are not newer then we dont need to check
-            if frl.matched and stat.st_ctime < frl.when_processed and refimg.created_on < frl.when_processed:
-                print(f"OPTIM: lookForPersonInImage: file {e.name} has a previous match for: {refimg.fname}, and the file & refimg  haven't changed")
-                return
+    FinishJob( job, "THIS CODE HAS BEEN REMOVED, need to use new Face* tables, and rethink", "Failed" )
+    return
 
-        session.add(frl)
-        frl.matched=False
-        frl.when_processed=time.time()
-        deserialized_bytes = numpy.frombuffer(refimg.encodings, dtype=numpy.float64)
-        results = compareAI(deserialized_bytes, unknown_encoding)
-        if results[0]:
-            AddLogForJob(job, f'Found a match between: {person.tag} and {e.name}')
-            frl.matched=True
-            return
 
 def generateUnknownEncodings(im):
     unknown_image = numpy.array(im)