first pass of allowing to scan for all files in import and storage paths <- works, and showing all unknown faces to handle them somehow - very rudimentary

ai.py

@@ -5,9 +5,14 @@ from main import db, app, ma
 from sqlalchemy import Sequence
 from sqlalchemy.exc import SQLAlchemyError
 from status import st, Status
-from files import Entry, File
+from path import Path, PathType
+from files import Entry, Dir, File, PathDirLink
 from person import Refimg, Person, PersonRefimgLink
 from flask_login import login_required, current_user
+from PIL import Image
+import io
+import base64
+import json
 
 from job import Job, JobExtra, Joblog, NewJob
 from face import Face, FaceFileLink, FaceRefimgLink
@@ -52,3 +57,59 @@ def run_ai_on():
     job=NewJob( "run_ai_on", 0, None, jex )
     st.SetMessage( f"Created&nbsp;<a href=/job/{job.id}>Job #{job.id}</a>&nbsp;to Look for face(s) in selected file(s)")
     return render_template("base.html")
+
+@app.route("/run_ai_on_import")
+@login_required
+def run_ai_on_import():
+    jex=[]
+    jex.append( JobExtra( name=f"person", value="all" ) )
+    paths=Path.query.join(PathType).filter(PathType.name=='Import').all()
+    path_cnt=0
+    for p in paths:
+        d = Dir.query.join(PathDirLink).filter(PathDirLink.path_id==p.id).filter(Dir.rel_path=='').first()
+        jex.append( JobExtra( name=f"eid-{path_cnt}", value=f"{d.eid}" ) )
+        path_cnt+=1
+    print(jex)
+    job=NewJob( "run_ai_on", 0, None, jex )
+    st.SetMessage( f"Created&nbsp;<a href=/job/{job.id}>Job #{job.id}</a>&nbsp;to Look for face(s) in import path(s)")
+    return render_template("base.html")
+
+@app.route("/run_ai_on_storage")
+@login_required
+def run_ai_on_storage():
+    jex=[]
+    jex.append( JobExtra( name=f"person", value="all" ) )
+    paths=Path.query.join(PathType).filter(PathType.name=='Storage').all()
+    path_cnt=0
+    for p in paths:
+        d = Dir.query.join(PathDirLink).filter(PathDirLink.path_id==p.id).filter(Dir.rel_path=='').first()
+        jex.append( JobExtra( name=f"eid-{path_cnt}", value=f"{d.eid}" ) )
+        path_cnt+=1
+    print(jex)
+    job=NewJob( "run_ai_on", 0, None, jex )
+    st.SetMessage( f"Created&nbsp;<a href=/job/{job.id}>Job #{job.id}</a>&nbsp;to Look for face(s) in storage path(s)")
+    return render_template("base.html")
+
+@app.route("/unmatched_faces")
+@login_required
+def unmatched_faces():
+    faces=Face.query.join(FaceFileLink).join(FaceRefimgLink, isouter=True).filter(FaceRefimgLink.refimg_id==None).limit(10).all()
+    imgs={}
+    for face in faces:
+        face.locn=json.loads("["+face.locn+"]")
+        f = Entry.query.join(File).join(FaceFileLink).filter(FaceFileLink.face_id==face.id).first() 
+        face.file_eid=f.id
+        face.url=f.FullPathOnFS()
+        x=face.locn[0][3]*0.95
+        y=face.locn[0][0]*0.95
+        x2=face.locn[0][1]*1.05
+        y2=face.locn[0][2]*1.05
+        im = Image.open(f.FullPathOnFS())
+        region = im.crop((x, y, x2, y2))
+        img_bytearray = io.BytesIO()
+        region.save(img_bytearray, format='JPEG')
+        img_bytearray = img_bytearray.getvalue()
+        face.img = base64.b64encode(img_bytearray)
+        face.img = str(face.img)[2:-1]
+
+    return render_template("faces.html", faces=faces)