Exemplo n.º 1
0
def remove_photo_from_file(path, photo_id):
    """
    Given a file path and a photo index ID, remove the photo and renumber
    all photos inside the file. Determine what the proper configuration
    section header should be from the path itself.
    """
    section = None
    for section_name in ["wild", "media", "zoos", "pandas"]:
        if section_name in path.split("/"):
            section = section_name.split("s")[0]  # HACK
    photo_list = PhotoFile(section, path)
    if photo_list.delete_photo(photo_id) == True:
        # Read max from an existing photo
        max = int(get_max_entity_count())
        photo_list.renumber_photos(max)
        photo_list.update_file()
Exemplo n.º 2
0
def remove_duplicate_photo_uris_per_file():
    """
    If a file has the same photo URI multiple times, make a new photo entry
    with a union of the tags for each one, and the earlier commitdate.
    TODO: support media duplicates
    """
    max = int(get_max_entity_count())
    for file_path in [PANDA_PATH, ZOO_PATH]:
        section = None
        for section_name in ["zoos", "pandas"]:
            if section_name in file_path.split("/"):
                section = section_name.split("s")[0]  # HACK
        # Enter the pandas subdirectories
        for root, dirs, files in os.walk(file_path):
            for filename in files:
                path = root + os.sep + filename
                # print(path)
                photo_list = PhotoFile(section, path)
                photo_count = photo_list.photo_count()
                photo_index = 1
                seen = {}
                duplicates = {}
                while (photo_index <= photo_count):
                    current_option = "photo." + str(photo_index)
                    current_uri = photo_list.get_field(current_option)
                    current_author_option = current_option + ".author"
                    current_author = photo_list.get_field(
                        current_author_option)
                    current_date_option = current_option + ".commitdate"
                    current_date = photo_list.get_field(current_date_option)
                    current_date_value = datetime_to_unixtime(current_date)
                    current_link_option = current_option + ".link"
                    current_link = photo_list.get_field(current_link_option)
                    current_tags_option = current_option + ".tags"
                    current_tags = photo_list.get_field(current_tags_option)
                    if current_uri in seen:
                        # We have a duplicate
                        seen_date_value = datetime_to_unixtime(
                            seen[current_uri]["commitdate"])
                        seen_tags = seen[current_uri]["tags"]
                        # Resolve dates and tags
                        if (current_date_value < seen_date_value):
                            seen[current_uri][
                                "commitdate"] = current_date_value
                        # Handle when either of the duplicates have no tags
                        if seen_tags == None and current_tags != None:
                            seen[current_uri]["tags"] = current_tags
                        if seen_tags != None and current_tags != None:
                            tag_list = current_tags.split(
                                ", ") + seen_tags.split(", ")
                            tag_list = sorted(list(
                                dict.fromkeys(tag_list)))  # deduplicate tags
                            seen[current_uri]["tags"] = ", ".join(tag_list)
                        # Add to duplicates list in its current form
                        duplicates[current_uri] = seen[current_uri]
                        # Remove from the photo list
                        photo_list.delete_photo(photo_index)
                        photo_list.delete_photo(seen[current_uri]["old_index"])
                    elif current_uri in duplicates:
                        # We have something duplicated more than once
                        seen_date_value = datetime_to_unixtime(
                            duplicates[current_uri]["commitdate"])
                        seen_tags = duplicates[current_uri]["tags"]
                        # Resolve dates and tags
                        if (current_date_value < seen_date_value):
                            duplicates[current_uri][
                                "commitdate"] = current_date_value
                        # Handle when either of the duplicates have no tags
                        if seen_tags == None and current_tags != None:
                            seen[current_uri]["tags"] = current_tags
                        if seen_tags != None and current_tags != None:
                            tag_list = current_tags.split(
                                ", ") + seen_tags.split(", ")
                            tag_list = sorted(list(
                                dict.fromkeys(tag_list)))  # deduplicate tags
                            duplicates[current_uri]["tags"] = ", ".join(
                                tag_list)
                        # Remove from the photo list
                        photo_list.delete_photo(photo_index)
                    else:
                        seen[current_uri] = {}
                        seen[current_uri]["old_index"] = photo_index
                        seen[current_uri]["author"] = current_author
                        seen[current_uri]["commitdate"] = current_date
                        seen[current_uri]["link"] = current_link
                        seen[current_uri]["tags"] = current_tags
                    photo_index = photo_index + 1
                for photo_uri in duplicates.keys():
                    # Add duplicates back to photo file, starting at the newest index
                    photo_option = "photo." + str(photo_index)
                    author_option = photo_option + ".author"
                    author = duplicates[photo_uri]["author"]
                    date_option = photo_option + ".commitdate"
                    date = duplicates[photo_uri]["commitdate"]
                    link_option = photo_option + ".link"
                    link = duplicates[photo_uri]["link"]
                    tags_option = photo_option + ".tags"
                    tags = duplicates[photo_uri]["tags"]
                    photo_list.set_field(photo_option, photo_uri)
                    photo_list.set_field(author_option, author)
                    photo_list.set_field(date_option, date)
                    photo_list.set_field(link_option, link)
                    if (tags != None):
                        photo_list.set_field(tags_option, tags)
                    photo_index = photo_index + 1
                # Update the file if there were any changes, and re-sort the hashes
                duplicate_count = len(duplicates.keys())
                if duplicate_count > 0:
                    print("deduplicated: %s (%s duplicated)" %
                          (path, duplicate_count))
                    photo_list.renumber_photos(max)
                    photo_list.update_file()
                    sort_ig_hashes(path)
Exemplo n.º 3
0
def sort_ig_hashes(path):
    """
    Take a zoo/panda file, and sort all photos by their IG hashes. 
    This makes the photos appear in the order they were uploaded to IG,
    oldest to newest. 
    If a photo does not use an IG URI, keep its index unchanged.
    """
    # IG alphabet for hashes, time ordering oldest to newest
    # print(path)
    print("sorting: %s" % path)
    hash_order = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789-_"
    section = None
    for section_name in ["wild", "zoos", "media", "pandas"]:
        if section_name in path.split("/"):
            section = section_name.split("s")[0]  # HACK
    photo_list = PhotoFile(section, path)
    photo_count = photo_list.photo_count()
    max = int(get_max_entity_count()) + 1
    if photo_count >= max:
        max = photo_count + 1
    non_ig_indices = []
    ig_photos = []
    # Build photo indices of IG photos and non-IG photos
    start_index = 1
    stop_point = max
    photo_index = start_index
    while photo_index <= stop_point:
        photo_option = "photo." + str(photo_index)
        photo = photo_list.get_field(photo_option)
        if photo == None:
            # Missing photo at this index, continue
            photo_index = photo_index + 1
            continue
        # Convert IG photo formats to use new event handler
        photo = update_ig_link(photo)
        photo_list.set_field(photo_option, photo)
        # If our updated photo link has an ig:// uri, do the moving
        if "ig://" in photo:
            # Track the photo and index as a tuple
            ig_photos.append([photo, photo_index])
            # Rename all photo fields as "old_photo_field"
            photo_list.move_field("old." + photo_option, photo_option)
            photo_list.move_field("old." + photo_option + ".author",
                                  photo_option + ".author")
            photo_list.move_field("old." + photo_option + ".commitdate",
                                  photo_option + ".commitdate")
            photo_list.move_field("old." + photo_option + ".link",
                                  photo_option + ".link")
            photo_list.move_field("old." + photo_option + ".tags",
                                  photo_option + ".tags")
            if section == "media":
                panda_tags = photo_list.get_field("panda.tags").split(", ")
                for panda_id in panda_tags:
                    photo_item = photo_option + ".tags." + panda_id + ".location"
                    photo_list.move_field("old." + photo_item, photo_item)
        else:
            # Track the non-ig index, so we can avoid it
            # Don't need to rename these photos
            non_ig_indices.append(photo_index)
        photo_index = photo_index + 1
    # Sort the list of ig photo tuples by photo URL
    # (the 0th item in each tuple is the url)
    # (the 4th item in each URL is the ig photo hash)
    ig_photos = sorted(
        ig_photos,
        key=lambda x: [hash_order.index(char) for char in x[0].split("/")[2]])
    ig_photos = sorted(ig_photos, key=lambda x: len(x[0].split("/")[2]))
    # Now, re-distribute the photos, iterating down the ig
    # photos, moving "old_photo_field" to "photo_field" but with
    # updated indices
    list_index = start_index
    photo_index = start_index
    used_indices = []
    while photo_index <= stop_point:
        if list_index - 1 == len(ig_photos):
            # No more photos, for certain
            break
        [photo, old_index] = ig_photos[list_index - 1]
        photo_index = list_index
        while photo_index in non_ig_indices:
            photo_index = photo_index + 1  # Avoid indices for non-IG photos
        while photo_index in used_indices:
            photo_index = photo_index + 1  # Avoid indices we already used
        used_indices.append(photo_index)
        current_option = "photo." + str(photo_index)
        old_option = "old.photo." + str(old_index)
        photo_list.move_field(current_option, old_option)
        photo_list.move_field(current_option + ".author",
                              old_option + ".author")
        photo_list.move_field(current_option + ".commitdate",
                              old_option + ".commitdate")
        photo_list.move_field(current_option + ".link", old_option + ".link")
        photo_list.move_field(current_option + ".tags", old_option + ".tags")
        if section == "media":
            panda_tags = photo_list.get_field("panda.tags").split(", ")
            for panda_id in panda_tags:
                current_loc_tag = current_option + ".tags." + panda_id + ".location"
                old_loc_tag = old_option + ".tags." + panda_id + ".location"
                photo_list.move_field(current_loc_tag, old_loc_tag)
        list_index = list_index + 1
    # We're done. Update the photo file
    photo_list.update_file()