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494 | class VegaRenderer(Renderer):
"""Renderer for vega plots."""
TYPE = "vega"
DIV = """
<div id = "{id}">
<script type = "text/javascript">
var spec = {partial};
vegaEmbed('#{id}', spec);
</script>
</div>
"""
SCRIPTS = """
<script src="https://cdn.jsdelivr.net/npm/vega@5.20.2"></script>
<script src="https://cdn.jsdelivr.net/npm/vega-lite@5.2.0"></script>
<script src="https://cdn.jsdelivr.net/npm/vega-embed@6.18.2"></script>
"""
EXTENSIONS = {".yml", ".yaml", ".json", ".csv", ".tsv"}
def __init__(self, datapoints: list, name: str, **properties):
super().__init__(datapoints, name, **properties)
self.template = get_template(
self.properties.get("template", None),
self.properties.get("template_dir", None),
)
self._split_content: dict[str, str] = {}
def get_filled_template( # noqa: C901
self,
split_anchors: Optional[list[str]] = None,
strict: bool = True,
) -> dict[str, Any]:
"""Returns a functional vega specification"""
self.template.reset()
if not self.datapoints:
return {}
if split_anchors is None:
split_anchors = []
if strict:
if self.properties.get("x"):
self.template.check_field_exists(
self.datapoints, self.properties.get("x")
)
if self.properties.get("y"):
self.template.check_field_exists(
self.datapoints, self.properties.get("y")
)
self.properties.setdefault("title", "")
self.properties.setdefault("x_label", self.properties.get("x"))
self.properties.setdefault("y_label", self.properties.get("y"))
self.properties.setdefault("data", self.datapoints)
varied_keys = self._process_optional_anchors(split_anchors)
self._update_datapoints(varied_keys)
names = ["title", "x", "y", "x_label", "y_label", "data"]
for name in names:
value = self.properties.get(name)
if value is None:
continue
if name in split_anchors:
self._set_split_content(name, value)
continue
if name == "data":
if not self.template.has_anchor(name):
anchor = self.template.anchor(name)
raise BadTemplateError( # noqa: TRY003
f"Template '{self.template.name}' "
f"is not using '{anchor}' anchor"
)
elif name in {"x", "y"}:
value = self.template.escape_special_characters(value)
self.template.fill_anchor(name, value)
return self.template.content
def get_partial_filled_template(self):
"""
Returns a partially filled template along with the split out anchor content
"""
content = self.get_filled_template(
split_anchors=SPLIT_ANCHORS,
strict=True,
)
return content, {"anchor_definitions": self._split_content}
def get_template(self):
"""
Returns unfilled template (for Studio)
"""
return self.template.content
def partial_html(self, **kwargs) -> str: # noqa: ARG002
content = self.get_filled_template()
return json.dumps(content)
def generate_markdown(self, report_path=None) -> str:
if not isinstance(self.template, LinearTemplate):
warn("`generate_markdown` can only be used with `LinearTemplate`") # noqa: B028
return ""
try:
from matplotlib import pyplot as plt
except ImportError as e:
raise ImportError("matplotlib is required for `generate_markdown`") from e # noqa: TRY003
data = list_dict_to_dict_list(self.datapoints)
if data:
if report_path:
report_folder = Path(report_path).parent
output_file = report_folder / self.name
output_file = output_file.with_suffix(".png")
output_file.parent.mkdir(exist_ok=True, parents=True)
else:
output_file = io.BytesIO() # type: ignore[assignment]
x = self.properties.get("x")
y = self.properties.get("y")
data[x] = list(map(float, data[x]))
data[y] = list(map(float, data[y]))
if x is not None and y is not None:
plt.title(self.properties.get("title", Path(self.name).stem))
plt.xlabel(self.properties.get("x_label", x))
plt.ylabel(self.properties.get("y_label", y))
plt.plot(x, y, data=data)
plt.tight_layout()
plt.savefig(output_file)
plt.close()
if report_path:
return f"\n![{self.name}]({output_file.relative_to(report_folder)})"
base64_str = base64.b64encode(output_file.getvalue()).decode() # type: ignore[attr-defined]
src = f"data:image/png;base64,{base64_str}"
return f"\n![{self.name}]({src})"
return ""
def get_revs(self):
"""
Returns all revisions that were collected that have datapoints.
"""
return (
self.properties.get("revs_with_datapoints", [])
or self._get_revs_from_datapoints()
)
def _get_revs_from_datapoints(self):
revs = []
for datapoint in self.datapoints:
rev = datapoint.get("rev")
if rev and rev not in revs:
revs.append(rev)
return revs
def _process_optional_anchors(self, split_anchors: list[str]):
optional_anchors = [
anchor for anchor in OPTIONAL_ANCHORS if self.template.has_anchor(anchor)
]
if not optional_anchors:
return None
self._fill_color(split_anchors, optional_anchors)
self._fill_set_encoding(split_anchors, optional_anchors)
y_definitions = self.properties.get("anchors_y_definitions", [])
is_single_source = len(y_definitions) <= 1
if is_single_source:
self._process_single_source_plot(split_anchors, optional_anchors)
return []
return self._process_multi_source_plot(
split_anchors, optional_anchors, y_definitions
)
def _fill_color(self, split_anchors: list[str], optional_anchors: list[str]):
all_revs = self.get_revs()
self._fill_optional_anchor_mapping(
split_anchors,
optional_anchors,
REV,
"color",
all_revs,
)
def _fill_set_encoding(self, split_anchors: list[str], optional_anchors: list[str]):
for name, encoding in [
("zoom_and_pan", {"name": "grid", "select": "interval", "bind": "scales"}),
("plot_height", 300),
("plot_width", 300),
]:
self._fill_optional_anchor(split_anchors, optional_anchors, name, encoding)
def _process_single_source_plot(
self, split_anchors: list[str], optional_anchors: list[str]
):
self._fill_group_by(split_anchors, optional_anchors, [REV])
self._fill_optional_anchor(
split_anchors, optional_anchors, "pivot_field", "datum.rev"
)
self._fill_tooltip(split_anchors, optional_anchors)
for anchor in optional_anchors:
self.template.fill_anchor(anchor, {})
def _process_multi_source_plot(
self,
split_anchors: list[str],
optional_anchors: list[str],
y_definitions: list[dict[str, str]],
):
varied_keys, domain = self._collect_variations(y_definitions)
self._fill_optional_multi_source_anchors(
split_anchors, optional_anchors, varied_keys, domain
)
return varied_keys
def _collect_variations(
self, y_definitions: list[dict[str, str]]
) -> tuple[list[str], list[str]]:
varied_values = defaultdict(set)
for defn in y_definitions:
for key in FILENAME_FIELD:
varied_values[key].add(defn.get(key, None))
varied_values[CONCAT_FIELDS].add(
FIELD_SEPARATOR.join([defn.get(FILENAME, ""), defn.get(FIELD, "")])
)
varied_keys = []
for filename_or_field in FILENAME_FIELD:
value_set = varied_values[filename_or_field]
num_values = len(value_set)
if num_values == 1:
continue
varied_keys.append(filename_or_field)
domain = self._get_domain(varied_keys, varied_values)
return varied_keys, domain
def _fill_optional_multi_source_anchors(
self,
split_anchors: list[str],
optional_anchors: list[str],
varied_keys: list[str],
domain: list[str],
):
if not optional_anchors:
return
concat_field = FIELD_SEPARATOR.join(varied_keys)
self._fill_group_by(split_anchors, optional_anchors, [REV, concat_field])
self._fill_optional_anchor(
split_anchors,
optional_anchors,
"pivot_field",
f" + '{FIELD_SEPARATOR}' + ".join(
[f"datum.{key}" for key in [REV, *varied_keys]]
),
)
self._fill_optional_anchor(
split_anchors, optional_anchors, "row", {"field": concat_field, "sort": []}
)
self._fill_optional_anchor(
split_anchors,
optional_anchors,
"column",
{"field": concat_field, "sort": []},
)
self._fill_tooltip(split_anchors, optional_anchors, [concat_field])
for anchor in ["stroke_dash", "shape"]:
self._fill_optional_anchor_mapping(
split_anchors, optional_anchors, concat_field, anchor, domain
)
def _fill_group_by(
self,
split_anchors: list[str],
optional_anchors: list[str],
group_by: list[str],
):
self._fill_optional_anchor(
split_anchors, optional_anchors, "group_by", group_by
)
self._fill_optional_anchor(
split_anchors,
optional_anchors,
"group_by_x",
[*group_by, self.properties.get("x")],
)
self._fill_optional_anchor(
split_anchors,
optional_anchors,
"group_by_y",
[*group_by, self.properties.get("y")],
)
def _fill_tooltip(
self,
split_anchors: list[str],
optional_anchors: list[str],
additional_fields: Optional[list[str]] = None,
):
if not additional_fields:
additional_fields = []
self._fill_optional_anchor(
split_anchors,
optional_anchors,
"tooltip",
[
{"field": REV},
{"field": self.properties.get("x")},
{"field": self.properties.get("y")},
*[{"field": field} for field in additional_fields],
],
)
def _fill_optional_anchor(
self,
split_anchors: list[str],
optional_anchors: list[str],
name: str,
value: Any,
):
if name not in optional_anchors:
return
optional_anchors.remove(name)
if name in split_anchors:
self._set_split_content(name, value)
return
self.template.fill_anchor(name, value)
def _get_domain(self, varied_keys: list[str], varied_values: dict[str, set]):
if len(varied_keys) == 2:
domain = list(varied_values[CONCAT_FIELDS])
else:
filename_or_field = varied_keys[0]
domain = list(varied_values[filename_or_field])
domain.sort()
return domain
def _fill_optional_anchor_mapping(
self,
split_anchors: list[str],
optional_anchors: list[str],
field: str,
name: str,
domain: list[str],
): # pylint: disable=too-many-arguments
if name not in optional_anchors:
return
optional_anchors.remove(name)
encoding = self._get_optional_anchor_mapping(field, name, domain)
if name in split_anchors:
self._set_split_content(name, encoding)
return
self.template.fill_anchor(name, encoding)
def _get_optional_anchor_mapping(
self,
field: str,
name: str,
domain: list[str],
):
full_range_values: list[Any] = OPTIONAL_ANCHOR_RANGES.get(name, [])
anchor_range_values = full_range_values.copy()
anchor_range = []
for _ in range(len(domain)):
if not anchor_range_values:
anchor_range_values = full_range_values.copy()
range_value = anchor_range_values.pop(0)
anchor_range.append(range_value)
legend = (
# fix stroke dash and shape legend entry appearance (use empty shapes)
{"legend": {"symbolFillColor": "transparent", "symbolStrokeColor": "grey"}}
if name != "color"
else {}
)
return {
"field": field,
"scale": {"domain": domain, "range": anchor_range},
**legend,
}
def _update_datapoints(self, varied_keys: Optional[list[str]] = None):
if varied_keys is None:
return
if len(varied_keys) == 2:
to_concatenate = varied_keys
to_remove = varied_keys
else:
to_concatenate = []
to_remove = [key for key in FILENAME_FIELD if key not in varied_keys]
for datapoint in self.datapoints:
if to_concatenate:
concat_key = FIELD_SEPARATOR.join(to_concatenate)
datapoint[concat_key] = FIELD_SEPARATOR.join(
[datapoint.get(k) for k in to_concatenate]
)
for key in to_remove:
datapoint.pop(key, None)
def _set_split_content(self, name: str, value: Any):
self._split_content[Template.anchor(name)] = value
|