def render_path_image(summary):
n_freq_table_max = config["n_freq_table_max"].get(int)
image_format = config["plot"]["image_format"].get(str)
template_variables = render_path(summary)
# Top
template_variables["top"].content["items"][0].content[
"var_type"] = "Image Path"
# Bottom
keys = {"Image shape": "image_shape", "Exif keys": "exif_keys"}
for title, key in keys.items():
template_variables["freqtable_{}".format(key)] = freq_table(
freqtable=summary["{}_counts".format(key)],
n=summary["n"],
max_number_to_print=n_freq_table_max,
)
# TODO: add dropdown to switch to specific values
exif_keys = FrequencyTable(
template_variables["freqtable_{}".format("exif_keys")],
name="Exif keys",
anchor_id="{varid}exif_frequency".format(varid=summary["varid"]),
)
template_variables["bottom"].content["items"].append(exif_keys)
image_shape_freq = FrequencyTable(
template_variables["freqtable_{}".format("image_shape")],
name="Frequency",
anchor_id="{varid}image_shape_frequency".format(
varid=summary["varid"]),
)
image_shape_scatter = Image(
scatter_series(summary["scatter_data"]),
image_format=image_format,
alt="Scatterplot of image sizes",
caption="Scatterplot of image sizes",
name="Scatter",
anchor_id="{varid}scatter".format(varid=summary["varid"]),
)
image_shape = Sequence(
[image_shape_freq, image_shape_scatter],
sequence_type="tabs",
name="Image shape",
anchor_id="{varid}image_shape".format(varid=summary["varid"]),
)
template_variables["bottom"].content["items"].append(image_shape)
return template_variables
def render_image(config: Settings, summary: dict) -> dict:
varid = summary["varid"]
n_freq_table_max = config.n_freq_table_max
redact = config.vars.cat.redact
template_variables = render_file(config, summary)
# Top
template_variables["top"].content["items"][0].content["var_type"] = "Image"
# Bottom
image_items = []
"""
Min Width Min Height Min Area
Mean Width Mean Height Mean Height
Median Width Median Height Median Height
Max Width Max Height Max Height
All dimension properties are in pixels.
"""
image_shape_items = [
Container(
[
Table([
{
"name":
"Min width",
"value":
fmt_numeric(summary["min_width"],
precision=config.report.precision),
"alert":
False,
},
{
"name":
"Median width",
"value":
fmt_numeric(
summary["median_width"],
precision=config.report.precision,
),
"alert":
False,
},
{
"name":
"Max width",
"value":
fmt_numeric(summary["max_width"],
precision=config.report.precision),
"alert":
False,
},
]),
Table([
{
"name":
"Min height",
"value":
fmt_numeric(summary["min_height"],
precision=config.report.precision),
"alert":
False,
},
{
"name":
"Median height",
"value":
fmt_numeric(
summary["median_height"],
precision=config.report.precision,
),
"alert":
False,
},
{
"name":
"Max height",
"value":
fmt_numeric(summary["max_height"],
precision=config.report.precision),
"alert":
False,
},
]),
Table([
{
"name":
"Min area",
"value":
fmt_numeric(summary["min_area"],
precision=config.report.precision),
"alert":
False,
},
{
"name":
"Median area",
"value":
fmt_numeric(
summary["median_area"],
precision=config.report.precision,
),
"alert":
False,
},
{
"name":
"Max area",
"value":
fmt_numeric(summary["max_area"],
precision=config.report.precision),
"alert":
False,
},
]),
],
anchor_id=f"{varid}tbl",
name="Overview",
sequence_type="grid",
),
Image(
scatter_series(config, summary["image_dimensions"]),
image_format=config.plot.image_format,
alt="Scatter plot of image sizes",
caption="Scatter plot of image sizes",
name="Scatter plot",
anchor_id=f"{varid}image_dimensions_scatter",
),
FrequencyTable(
freq_table(
freqtable=summary["image_dimensions"].value_counts(),
n=summary["n"],
max_number_to_print=n_freq_table_max,
),
name="Common values",
anchor_id=f"{varid}image_dimensions_frequency",
redact=False,
),
]
image_shape = Container(
image_shape_items,
sequence_type="named_list",
name="Dimensions",
anchor_id=f"{varid}image_dimensions",
)
if "exif_keys_counts" in summary:
items = [
FrequencyTable(
freq_table(
freqtable=pd.Series(summary["exif_keys_counts"]),
n=summary["n"],
max_number_to_print=n_freq_table_max,
),
name="Exif keys",
anchor_id=f"{varid}exif_keys",
redact=redact,
)
]
for key, counts in summary["exif_data"].items():
if key == "exif_keys":
continue
items.append(
FrequencyTable(
freq_table(
freqtable=counts,
n=summary["n"],
max_number_to_print=n_freq_table_max,
),
name=key,
anchor_id=f"{varid}_exif_{key}",
redact=redact,
))
image_items.append(
Container(
items,
anchor_id=f"{varid}exif_data",
name="Exif data",
sequence_type="named_list",
))
image_items.append(image_shape)
image_tab = Container(
image_items,
name="Image",
sequence_type="tabs",
anchor_id=f"{varid}image",
)
template_variables["bottom"].content["items"].append(image_tab)
return template_variables