Delete generate_samples_v23.py

generate_samples_v23.py

@@ -1,90 +0,0 @@
-#!/usr/bin/env python3
-"""
-generate_samples_v23.py
-Generates ethno_sample_400.json and ethno_sample_400.parquet
-from the v2.3 master dataset. Guarantees 100% schema integrity.
-"""
-import json
-import pathlib
-
-MASTER = pathlib.Path("/opt/ethno-enrichment/delivery/ethno_dataset_2026_v2.3.json")
-OUT_DIR = pathlib.Path(__file__).parent
-SAMPLE_SIZE = 400
-
-# Canonical field order (matches MANIFEST_v2.json)
-FIELD_ORDER = [
-    "chemical",
-    "plant_species",
-    "application",
-    "dosage",
-    "pubmed_mentions_2026",
-    "clinical_trials_count_2026",
-    "chembl_bioactivity_count",
-    "patent_count_since_2020",
-    "pubchem_cid",
-    "canonical_smiles",
-]
-
-print(f"Loading master: {MASTER}")
-with open(MASTER) as f:
-    master = json.load(f)
-
-print(f"Master records: {len(master):,}")
-assert len(master) == 76_907, f"Expected 76,907, got {len(master)}"
-
-# Extract first 400, normalize field order and types
-sample = []
-for rec in master[:SAMPLE_SIZE]:
-    row = {}
-    for field in FIELD_ORDER:
-        val = rec.get(field)
-        # pubchem_cid: convert float → int (e.g. 119250.0 → 119250)
-        if field == "pubchem_cid" and isinstance(val, float):
-            val = int(val)
-        row[field] = val
-    sample.append(row)
-
-assert len(sample) == SAMPLE_SIZE, f"Expected {SAMPLE_SIZE}, got {len(sample)}"
-assert list(sample[0].keys()) == FIELD_ORDER, "Field order mismatch"
-
-# Write JSON
-json_path = OUT_DIR / "ethno_sample_400.json"
-with open(json_path, "w") as f:
-    json.dump(sample, f, indent=2, ensure_ascii=False)
-print(f"Wrote {json_path} ({json_path.stat().st_size:,} bytes)")
-
-# Write Parquet
-try:
-    import pandas as pd
-    df = pd.DataFrame(sample)
-    parquet_path = OUT_DIR / "ethno_sample_400.parquet"
-    df.to_parquet(parquet_path, index=False, engine="pyarrow")
-    print(f"Wrote {parquet_path} ({parquet_path.stat().st_size:,} bytes)")
-except ImportError:
-    print("WARNING: pandas/pyarrow not available, skipping parquet")
-
-# Validation
-print("\n--- Validation ---")
-with open(json_path) as f:
-    check = json.load(f)
-print(f"Records: {len(check)}")
-print(f"Fields: {list(check[0].keys())}")
-print(f"Field count: {len(check[0])}")
-
-# Null counts in sample
-from collections import Counter
-nulls = Counter()
-for r in check:
-    for k, v in r.items():
-        if v is None:
-            nulls[k] += 1
-print(f"Null counts: {dict(nulls)}")
-
-# Type check pubchem_cid
-cid_types = set()
-for r in check:
-    if r["pubchem_cid"] is not None:
-        cid_types.add(type(r["pubchem_cid"]).__name__)
-print(f"pubchem_cid types: {cid_types}")
-
-print("\n✓ Sample generation complete")