From abd9d8c55d5250ee7a60658bcf3330ad822bc60c Mon Sep 17 00:00:00 2001 From: Sebastian Urchs Date: Wed, 25 Sep 2024 19:32:22 -0400 Subject: [PATCH] [ENH] Make the dash app load the images This also means the app won't work if the images are not there --- climate_emotions_map/app.py | 28 +++++++++++++--------------- climate_emotions_map/data_loader.py | 25 ++++++++++++++++++++++--- code/assets/prerendered_figures.pkl | Bin 0 -> 17166913 bytes code/create_prerendered_figures.py | 13 ++++++++----- 4 files changed, 43 insertions(+), 23 deletions(-) create mode 100644 code/assets/prerendered_figures.pkl diff --git a/climate_emotions_map/app.py b/climate_emotions_map/app.py index e156e39..ba9c1ed 100644 --- a/climate_emotions_map/app.py +++ b/climate_emotions_map/app.py @@ -15,7 +15,11 @@ from dash.exceptions import PreventUpdate from . import utility as utils -from .data_loader import NATIONAL_SAMPLE_SIZE, SURVEY_DATA +from .data_loader import ( + NATIONAL_SAMPLE_SIZE, + PRERENDERED_BARPLOTS, + SURVEY_DATA, +) from .layout import MAP_LAYOUT, SINGLE_SUBQUESTION_FIG_KW, construct_layout from .make_descriptive_plots import make_descriptive_plots from .make_map import make_map @@ -300,24 +304,18 @@ def update_stacked_bar_plots( show_all_responses_checked, ): """Update the stacked bar plots for all questions based on the selected criteria.""" + if show_all_responses_checked: + threshold = None + elif not show_all_responses_checked: + threshold = DEFAULT_QUESTION["outcome"] + + figure_lookup_key = (state, is_party_stratify_checked, threshold) + figures = [] for output in ctx.outputs_list: # Example: {'id': {'question': 'q2', 'type': 'stacked-bar-plot'}, 'property': 'figure'} question = output["id"]["question"] - - if show_all_responses_checked: - threshold = None - elif not show_all_responses_checked: - threshold = DEFAULT_QUESTION["outcome"] - - figure = make_stacked_bar( - question=question, - subquestion="all", - state=state, - stratify=is_party_stratify_checked, - threshold=threshold, - ) - figures.append(figure) + figures.append(PRERENDERED_BARPLOTS[figure_lookup_key][question]) return figures diff --git a/climate_emotions_map/data_loader.py b/climate_emotions_map/data_loader.py index ba9f108..da55908 100644 --- a/climate_emotions_map/data_loader.py +++ b/climate_emotions_map/data_loader.py @@ -6,15 +6,18 @@ """ import json +import pickle as pkl from pathlib import Path import pandas as pd +BASE_PATH = Path(__file__).parents[1] + def load_data_file(file: str) -> pd.DataFrame: """Load a TSV data file into a dataframe.""" return pd.read_csv( - Path(__file__).parents[1] / "data" / "survey_results" / file, + BASE_PATH / "data" / "survey_results" / file, sep="\t", dtype={"question": str, "sub_question": str, "outcome": str}, ) @@ -23,7 +26,7 @@ def load_data_file(file: str) -> pd.DataFrame: def load_data_dictionary(file: str) -> pd.DataFrame: """Load a data dictionary TSV into a dataframe.""" return pd.read_csv( - Path(__file__).parents[1] / "data" / "data_dictionaries" / file, + BASE_PATH / "data" / "data_dictionaries" / file, sep="\t", # Some data dictionaries have "None" as a meaningful value, so we have to prevent it # from being interpreted as a NaN by pandas @@ -32,6 +35,21 @@ def load_data_dictionary(file: str) -> pd.DataFrame: ) +def load_prerendered_figures(file: str) -> dict: + """Load a pickle file containing a dictionary of prerendered plotly figures.""" + target_file = BASE_PATH / "code/assets" / file + # Because this module always runs the loaders, even when imported by the create_prerendered_figures module + # we need to allow for the file to not exist yet when we want to run the script the first time + if not target_file.exists(): + print( + "Prerendered figures not found. Run create_prerendered_figures.py to generate them." + ) + return {} + + print(f"Loading prerendered figures from {target_file}") + return pkl.load(target_file.open("rb")) + + def remove_ignored_rows(df: pd.DataFrame) -> pd.DataFrame: """Remove rows from a dataframe that have a value of TRUE in the "ignore" column.""" return df[df["ignore"] == False] @@ -40,7 +58,7 @@ def remove_ignored_rows(df: pd.DataFrame) -> pd.DataFrame: def load_geojson_object(file: str) -> dict: """Load a geojson file into a dataframe.""" return json.loads( - (Path(__file__).parents[1] / "code" / "assets" / file).read_text(), + (BASE_PATH / "code" / "assets" / file).read_text(), ) @@ -155,3 +173,4 @@ def get_domain_text() -> dict[str, str]: NATIONAL_SAMPLE_SIZE = SURVEY_DATA["samplesizes_state.tsv"]["n"].sum() GEOJSON_OBJECTS = load_geojson_objects() +PRERENDERED_BARPLOTS = load_prerendered_figures("prerendered_figures.pkl") diff --git a/code/assets/prerendered_figures.pkl b/code/assets/prerendered_figures.pkl 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