photoassistant/shared.py

import socket
import os
import face_recognition
import io
import base64
from PIL import Image, ImageOps

class PA:
    def __repr__(self):
        str=f"<{self.__class__.__name__}("
        for k, v in self.__dict__.items():
            str += f"{k}={v!r}, "
        str=str.rstrip(", ") + ")>"
        return str


hostname = socket.gethostname()
PROD_HOST="pa_web"

# dict to store name of icon in icons.svg so we can use by referece in html
ICON={}
ICON["Import"]="import"
ICON["Storage"]="db"
ICON["Bin"]="trash"

SECS_IN_A_DAY = 86400
NEWEST_LOG_LIMIT = 15
OLDEST_LOG_LIMIT = 5

# check where we are running, if laptop, then run web server and db on localhost
if hostname == "lappy":
    PA_JOB_MANAGER_HOST="localhost"
    DB_URL = 'postgresql+psycopg2://pa:for_now_pa@localhost:5432/pa'
# if we dont set the env or we are explicitly DEV, run web server on localhost & db on mara (port 65432)
elif 'FLASK_ENV' not in os.environ or os.environ['FLASK_ENV'] == "development":
    PA_JOB_MANAGER_HOST="localhost"
    DB_URL = 'postgresql+psycopg2://pa:for_now_pa@mara.ddp.net:65432/pa'
# if we explicitly are on PROD, run web server on localhost (pa_web container) & db on mara (port 5432 on padb container)- only accessed via internal docker ports)
elif os.environ['FLASK_ENV'] == "production":
    PA_JOB_MANAGER_HOST="localhost"
    DB_URL = 'postgresql+psycopg2://pa:for_now_pa@padb/pa'
else:
    print( "ERROR: I do not know which environment (development, etc.) and which DB (on which host to use)" )
    exit( -1 )

# PORT number we connect to the pa_job_manager on - by default it runs on the
# same host as the web manager, but it can run wherever (as long as the file
# system is available in the same path)
PA_JOB_MANAGER_PORT=55430

# default thumbnail size (width and height) for images
THUMBSIZE=256

# Helper function used in html files to create a bootstrap'd select with options.  With:
#    name: the data field in the submitted form
#    selected: chooses the option that should be selected
#    list: for the options
#    js: optional extra javascript to run onChange (so far used to reset offset when choosing to change ordering of files being viewed)
#    add_class: some class overrides, usually to format margins/padding/format/text size,etc.
#    vals: in case the value is not the same as the name in the list provided... E.g. list={'yes', 'no'}, vals={'0':yes,'1':no}
def CreateSelect(name, selected, list, js="", add_class="", vals={} ):
    str  = f'<select id="{name}" name="{name}" class="{add_class} sm-txt bg-white text-info border-info border-1 p-1" onChange="{js};this.form.submit()">'
    for idx, el in enumerate(list):
        str += '<option '
        if el == selected or (len(vals) and selected == vals[idx]):
            str += 'selected '
        if idx in vals:
            str += f'value="{vals[idx]}"'
        str += f'>{el}</option>'
    str += '</select>'
    return str

# TODO: can this be collapsed into using above - probably if the 'selected' passed in was 'In Folder' or 'Flat View' -- but I think that isn't in a var???
# Helper function used in html files to create a bootstrap'd select with options.  Same as CreateSelect() really, only contains
# hard-coded True/False around the if selected part, but with string based "True"/"False" in the vals={}, and list has "In Folders", "Flat View"
def CreateFoldersSelect(selected, add_class=""):
    str  = f'<select id="folders" name="folders" class="{add_class} sm-txt bg-white text-info border-info border-1 p-1" onChange="this.form.submit()">'
    # if selected is true, then folders == true, so make this the selected option
    if( selected ):
        str += '<option selected value="True">In Folders</option>'
        str += '<option value="False">Flat View</option>'
    else:
        str += '<option value="True">In Folders</option>'
        str += '<option selected value="False">Flat View</option>'
    str += '</select>'
    return str

# wrapper function to return the path to an icon based on this objects type -
# just for convenience/shortening in the html
def LocationIcon(obj):
    return ICON[obj.in_dir.in_path.type.name]

# translate a path type, a full FS path and a file into the full FS path of the
# symlink on the file system.  To note, this is used with file == path, when we
# want to just get the symlink to the path itself, otherwise file == <path/some_filename>
### FIXME: I think this is way over-complicated, want to revist one day, with
#what params are passed in, what we need to get out -- I think the overloaded
#file/oath use case, and why sometimes we trail with a / or not and then concat
#last_dir and bit before last_dir, etc. this feels a bit too complicated for
#what it does OR we comment this much better
def SymlinkName(ptype, path, file):
    sig_bit=file.replace(path, "")
    last_dir=os.path.basename(path[0:-1])

    if len(sig_bit) > 0 and sig_bit[-1] == '/':
        last_bit = os.path.dirname(sig_bit)[0:-1]
    else:
        last_bit = os.path.dirname(sig_bit)
    symlink = 'static/'+ptype+'/'+last_dir+'/'+last_bit
    if symlink[-1] == '/':
        symlink=symlink[0:-1]
    return symlink


# generates the thumbnail for an image - uses THUMBSIZE, and deals with non RGB images, and rotated images (based on exif)
# returns data for thumbnail and original width and height, which gets stored in DB. Used when re-scaling viewed thumbs (refimgs on person page)
def GenThumb(fname):
    try:
        im_orig = Image.open(fname)
        if im_orig.format == 'JPEG':
            im = ImageOps.exif_transpose(im_orig)
        else:
            im = im_orig
        if im.mode != "RGB":
            im = im.convert('RGB')
        orig_w, orig_h = im.size
        im.thumbnail((THUMBSIZE,THUMBSIZE))
        img_bytearray = io.BytesIO()
        im.save(img_bytearray, format='JPEG')
        img_bytearray = img_bytearray.getvalue()
        thumbnail = base64.b64encode(img_bytearray)
        thumbnail = str(thumbnail)[2:-1]
        return thumbnail, orig_w, orig_h
    except Exception as e:
        print( f"GenThumb failed: {e}")
        return None, None, None

# generate Face data (and location) - wrapper func of face_recognition library
# used to store refimg data into the DB
def GenFace(fname, model):
    img = face_recognition.load_image_file(fname)
    location = face_recognition.face_locations(img, model=model)
    encodings = face_recognition.face_encodings(img, known_face_locations=location)
    if len(encodings):
        return encodings[0].tobytes(), location[0]
    else:
        return None, None