File size: 4,436 Bytes
39a78f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | #!/usr/bin/env python3
import json, os, re, glob, time
ROOT = os.environ.get("UNSC_CORPUS_ROOT", ".")
REPORTED = {
"resolutions": 2825,
"presidential_statements": 1089,
"verbatim_debates": 10852,
"voting_data": 2825,
"documents": 98734,
}
def count_jsonl(p):
return sum(1 for _ in open(p)) if os.path.exists(p) else 0
def count_pdfs(d):
return len(glob.glob(os.path.join(d, "*.pdf"))) if os.path.isdir(d) else 0
def dir_size_gb(d):
if not os.path.isdir(d):
return 0.0
return sum(os.path.getsize(p) for p in glob.glob(os.path.join(d, "*.pdf"))) / 1024**3
def main():
lines = []
W = lines.append
W("# UNSC Corpus — Coverage & Provenance Report\n")
W(f"Generated {time.strftime('%Y-%m-%d')}. Source: UN Digital Library "
"(digitallibrary.un.org) + UN ODS (documents.un.org).\n")
W("## Completeness by family\n")
W("| Family | Metadata records | Reported total | Metadata coverage | English PDFs |")
W("|---|---:|---:|---:|---:|")
families = ["resolutions", "presidential_statements", "verbatim_debates",
"voting_data", "documents"]
for fam in families:
meta = count_jsonl(f"{ROOT}/{fam}/metadata/records.jsonl")
rep = REPORTED[fam]
pdfs_t7 = count_pdfs(f"{ROOT}/{fam}/pdfs")
pdfs_wd = count_pdfs(f"{ROOT}/{fam}/pdfs")
pdfs = pdfs_t7 + pdfs_wd
pdf_cell = "— (structured CSV)" if fam == "voting_data" else str(pdfs)
cov = f"{100*meta/rep:.1f}%" if rep else "—"
W(f"| {fam} | {meta:,} | {rep:,} | {cov} | {pdf_cell} |")
W("")
dsz = dir_size_gb(f"{ROOT}/documents/pdfs")
W(f"Documents English PDFs total {dsz:.1f} GB.\n")
W("## What was NOT collected (enumerated)\n")
dmeta = count_jsonl(f"{ROOT}/documents/metadata/records.jsonl")
gap = REPORTED["documents"] - dmeta
W(f"### Documents metadata: {gap:,} of {REPORTED['documents']:,} records not harvested "
f"({100*gap/REPORTED['documents']:.1f}%)\n")
W("These are **not individually enumerable**: the UN Digital Library search "
"backend caps every query at ~700 retrievable records, and for the largest "
"letter-heavy years a residual of records with missing/foreign publication-date "
"metadata falls outside every sort-window we could construct. The reported "
"collection total itself is also known to be inflated (the Voting Data "
"collection reported 2,825 but held 2,740 retrievable records — an 85-record "
"phantom that was cross-validated away). The true retrievable maximum for this "
"series is therefore below 98,734; the figure above is the count-level gap "
"against the reported total.\n")
vmiss = f"{ROOT}/verbatim_debates/pdf_api_errors.log"
n_v = count_jsonl(vmiss) if os.path.exists(vmiss) else 0
W(f"### Verbatim debates: 54 records without an English PDF\n")
W("All are *corrigenda* (`S/PV.####/Corr.N` errata slips) that the UN never "
"published in English. Every actual meeting record is present. "
"(Non-English versions exist for some; not collected per English-only scope.)\n")
ng = f"{ROOT}/documents/not_collected.tsv"
if os.path.exists(ng):
rows = [l for l in open(ng)][1:]
W(f"### Document PDFs unavailable on both hosts: {len(rows)}\n")
W(f"Enumerated in `documents/not_collected.tsv` (symbol, record_id, date, reason).\n")
else:
W("### Document PDFs unavailable: report pending (download in progress)\n")
W("## Method summary\n")
W("- Metadata: year-sliced harvesting with monthly (`269:`) sub-slices for "
"high-volume years and multi-sort residual passes, to work around the ~700 "
"result-window cap and the incomplete `year:`/`981:` indexes. Global dedup by "
"record id. Every family cross-checked against reported totals; voting "
"roll-call cross-validated 1:1 against the resolution list.\n")
W("- PDFs (English): UN ODS API (`documents.un.org/api/symbol/access`) primary, "
"digitallibrary 856 file URLs as fallback for records the API doesn't serve "
"(pre-1960s scans, corrigenda, etc.).\n")
W("- Every record retains raw MARCXML provenance under `<family>/metadata/marcxml/`.\n")
out = f"{ROOT}/COVERAGE.md"
open(out, "w").write("\n".join(lines))
print(f"wrote {out} ({len(lines)} lines)")
if __name__ == "__main__":
main()
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