DomainDemo/code/validation/Snakefile at main · LazerLab/DomainDemo · GitHub

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import os

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# Meta info
DATA_ROOT = "../../data"
PROCESSED_ROOT = os.path.join(DATA_ROOT, "processed")
DERIVED_METRICS_ROOT = os.path.join(PROCESSED_ROOT, "derived_metrics")
EXISTING_LABELS_ROOT = os.path.join(DATA_ROOT, "existing_labels")
OUTPUT_ROOT = os.path.join(PROCESSED_ROOT, "validation")

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# Workflow

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# Localness
LOCAL_NATIONAL_LABELS = os.path.join(EXISTING_LABELS_ROOT, "news_local_natioanl_classification.csv")

LOCALNESS_SCORE = os.path.join(DERIVED_METRICS_ROOT, "derived_state_kl.csv.gz")
LOCALNESS_SCORE_MERGED = os.path.join(OUTPUT_ROOT, "localness", "localness_merged.csv")
LOCALNESS_SCORE_AUC = os.path.join(OUTPUT_ROOT, "localness", "localness_auc.csv")
LOCALNESS_SCORE_F1 = os.path.join(OUTPUT_ROOT, "localness", "localness_f1.csv")

rule merge_localness_score_with_labels:
    input: LOCAL_NATIONAL_LABELS, LOCALNESS_SCORE
    output: LOCALNESS_SCORE_MERGED
    shell: "uv run merge_localness_score_with_labels.py {input} {output}"

rule validate_localness_auc:
    input: LOCALNESS_SCORE_MERGED
    output: LOCALNESS_SCORE_AUC
    shell: "uv run validate_localness_auc.py {input} {output}"

rule validate_localness_f1:
    input: LOCALNESS_SCORE_MERGED
    output: LOCALNESS_SCORE_F1
    shell: "uv run validate_localness_f1.py {input} {output}"

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# Political leaning
EXISTING_PARTISAN_BIAS_SCORES = os.path.join(EXISTING_LABELS_ROOT, "partisan_bias_scores.csv")
POLITICAL_LEANING_SCORE = os.path.join(DERIVED_METRICS_ROOT, "derived_party_leaning.csv.gz")
POLITICAL_LEANING_SCORE_REG = os.path.join(DERIVED_METRICS_ROOT, "derived_partyreg_leaning.csv.gz")
POLITICAL_LEANING_SCORE_CORRELATION = os.path.join(OUTPUT_ROOT, "political_leaning", "political_leaning_correlation.csv")

rule validate_political_leaning_correlation:
    input: EXISTING_PARTISAN_BIAS_SCORES, POLITICAL_LEANING_SCORE, POLITICAL_LEANING_SCORE_REG
    output: POLITICAL_LEANING_SCORE_CORRELATION
    shell: "uv run validate_political_leaning_correlation.py {input} {output}"