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| import datetime | |
| import logging | |
| import streamlit as st | |
| from streamlit.delta_generator import DeltaGenerator | |
| import cv2 | |
| import numpy as np | |
| from input.input_observation import InputObservation | |
| from input.input_validator import get_image_datetime, is_valid_email, is_valid_number | |
| m_logger = logging.getLogger(__name__) | |
| m_logger.setLevel(logging.INFO) | |
| ''' | |
| A module to setup the input handling for the whale observation guidance tool | |
| both the UI elements (setup_input_UI) and the validation functions. | |
| ''' | |
| allowed_image_types = ['jpg', 'jpeg', 'png', 'webp'] | |
| # an arbitrary set of defaults so testing is less painful... | |
| # ideally we add in some randomization to the defaults | |
| spoof_metadata = { | |
| "latitude": 23.5, | |
| "longitude": 44, | |
| "author_email": "[email protected]", | |
| "date": None, | |
| "time": None, | |
| } | |
| def setup_input( | |
| viewcontainer: DeltaGenerator=None, | |
| _allowed_image_types: list=None, ) -> InputObservation: | |
| """ | |
| Sets up the input interface for uploading an image and entering metadata. | |
| It provides input fields for an image upload, lat/lon, author email, and date-time. | |
| In the ideal case, the image metadata will be used to populate location and datetime. | |
| Parameters: | |
| viewcontainer (DeltaGenerator, optional): The Streamlit container to use for the input interface. Defaults to st.sidebar. | |
| _allowed_image_types (list, optional): List of allowed image file types for upload. Defaults to allowed_image_types. | |
| Returns: | |
| InputObservation: An object containing the uploaded image and entered metadata. | |
| """ | |
| if viewcontainer is None: | |
| viewcontainer = st.sidebar | |
| if _allowed_image_types is None: | |
| _allowed_image_types = allowed_image_types | |
| viewcontainer.title("Input image and data") | |
| # 1. Input the author email | |
| author_email = viewcontainer.text_input("Author Email", spoof_metadata.get('author_email', "")) | |
| if author_email and not is_valid_email(author_email): | |
| viewcontainer.error("Please enter a valid email address.") | |
| # 2. Image Selector | |
| uploaded_files = viewcontainer.file_uploader("Upload an image", type=allowed_image_types, accept_multiple_files=True) | |
| observations = {} | |
| images = {} | |
| image_hashes =[] | |
| if uploaded_files is not None: | |
| for file in uploaded_files: | |
| viewcontainer.title(f"Metadata for {file.name}") | |
| # Display the uploaded image | |
| # load image using cv2 format, so it is compatible with the ML models | |
| file_bytes = np.asarray(bytearray(file.read()), dtype=np.uint8) | |
| filename = file.name | |
| image = cv2.imdecode(file_bytes, 1) | |
| # Extract and display image date-time | |
| image_datetime = None # For storing date-time from image | |
| image_datetime = get_image_datetime(file) | |
| m_logger.debug(f"image date extracted as {image_datetime} (from {uploaded_files})") | |
| # 3. Latitude Entry Box | |
| latitude = viewcontainer.text_input("Latitude for "+filename, spoof_metadata.get('latitude', "")) | |
| if latitude and not is_valid_number(latitude): | |
| viewcontainer.error("Please enter a valid latitude (numerical only).") | |
| m_logger.error(f"Invalid latitude entered: {latitude}.") | |
| # 4. Longitude Entry Box | |
| longitude = viewcontainer.text_input("Longitude for "+filename, spoof_metadata.get('longitude', "")) | |
| if longitude and not is_valid_number(longitude): | |
| viewcontainer.error("Please enter a valid longitude (numerical only).") | |
| m_logger.error(f"Invalid latitude entered: {latitude}.") | |
| # 5. Date/time | |
| ## first from image metadata | |
| if image_datetime is not None: | |
| time_value = datetime.datetime.strptime(image_datetime, '%Y:%m:%d %H:%M:%S').time() | |
| date_value = datetime.datetime.strptime(image_datetime, '%Y:%m:%d %H:%M:%S').date() | |
| else: | |
| time_value = datetime.datetime.now().time() # Default to current time | |
| date_value = datetime.datetime.now().date() | |
| ## if not, give user the option to enter manually | |
| date_option = st.sidebar.date_input("Date for "+filename, value=date_value) | |
| time_option = st.sidebar.time_input("Time for "+filename, time_value) | |
| observation = InputObservation(image=file, latitude=latitude, longitude=longitude, | |
| author_email=author_email, date=image_datetime, time=None, | |
| date_option=date_option, time_option=time_option) | |
| image_hash = observation.to_dict()["image_md5"] | |
| observations[image_hash] = observation | |
| images[image_hash] = image | |
| image_hashes.append(image_hash) | |
| st.session_state.images = images | |
| st.session_state.files = uploaded_files | |
| st.session_state.observations = observations | |
| st.session_state.image_hashes = image_hashes | |