feat: site em web/, resumo de processo ao clicar, autos vinculados e recuperação de datas

- move index.html/docs.json/people.json para web/
- resumo de cada documento ganha botão "ver resumo do processo", que busca e renderiza o markdown de parte1/ ou parte2/
- corrige hashJitter (módulo negativo em JS jogava pontos pra raia errada, quebrando desenho e hover)
- corrige overflow horizontal no mobile (align-items:flex-start virava constraint de largura no layout empilhado)
- recupera data de 366 dos 615 documentos antes sem data, lendo a linha de fechamento do texto original (dateInferred); script em pipeline/recover_dates.py
- adiciona parte1/ e parte2/ (resumos dos 53 processos vinculados a Pet16704) e demais arquivos pendentes

pipeline/recover_dates.py

@@ -0,0 +1,107 @@
+# Recovers a "date" for docs.json entries that TIMELINE.md left undated, by
+# reading each document's original text (in originals/, not committed — see
+# .gitignore) and looking for its own closing signature date, e.g.
+# "Brasília, 10 de abril de 2026." Reference script; not run automatically.
+#
+# Of the 615 originally undated documents, 366 got a recovered date this way
+# (flagged `dateInferred: true` in docs.json); 249 had no recognizable
+# signature date in the text and were left undated.
+#
+# Precision note — two looser versions were tried and rejected by manual
+# sampling before landing on the rule below:
+#   1. Matching the LAST "DD de mês de YYYY" anywhere in the text picked up
+#      legal citations phrased the same way as a signature date ("da Lei
+#      11.419, de 19 de dezembro de 2006") — a citation-keyword filter cut
+#      most of these, but not phrasings a keyword list can't anticipate
+#      ("será exigido a partir de 1º de janeiro de 2017", a compliance
+#      deadline quoted from cited legislation, with no "Lei"/"Decreto" right
+#      before it).
+#   2. Adding a numeric dd.mm.yyyy fallback for docs with no written-form
+#      date matched unrelated numbers inside long technical attachments
+#      (a solar-plant inspection report, a realtor's license expiry date
+#      inside a property appraisal) — dropped entirely, not worth the risk.
+# What actually distinguishes a genuine signature date in these documents,
+# reliably, regardless of how long or dense the attachment is: Brazilian
+# legal documents close with "<Cidade[/UF]>, DD de mês de YYYY." — so this
+# version requires that a place name and a comma sit immediately before the
+# date (PLACE_RE below), and takes the LAST such occurrence. Verified
+# against 30+ random samples with zero remaining false positives, including
+# on multi-hundred-KB attachments that defeated the earlier heuristics.
+# Even so, this is heuristic text extraction, not a curated field — treat
+# recovered dates as a reasonable placement on the timeline, not as the
+# authoritative date of juntada in the docket.
+
+import json, os, re, collections
+
+MONTHS = {
+    "janeiro": 1, "fevereiro": 2, "março": 3, "marco": 3, "abril": 4, "maio": 5, "junho": 6,
+    "julho": 7, "agosto": 8, "setembro": 9, "outubro": 10, "novembro": 11, "dezembro": 12,
+}
+MONTH_ALT = "|".join(MONTHS.keys())
+WRITTEN_RE = re.compile(r"\b(\d{1,2})\s*(?:º|°)?\s*de\s+(" + MONTH_ALT + r")\s+de\s+(\d{4})\b", re.IGNORECASE)
+
+CITATION_RE = re.compile(
+    r"(lei|decreto|resolu[çc][ãa]o|portaria|emenda|provimento|instru[çc][ãa]o\s+normativa|"
+    r"medida\s+provis[óo]ria|s[úu]mula|c[óo]digo|ato\s+normativo|normativa)\b", re.IGNORECASE)
+CITATION_NUM_RE = re.compile(r"n[ºo°]\.?\s*[\d./-]+\s*,?\s*$", re.IGNORECASE)
+
+# "<Cidade[/UF]>, " immediately before the date — the actual shape of a
+# Brazilian legal document's closing line
+PLACE_RE = re.compile(r"[A-ZÀ-Ú][A-Za-zà-ú\.]+(?:\s[A-ZÀ-Ú][A-Za-zà-ú\.]+){0,3}(?:\s?[/\-]\s?[A-Z]{2})?,\s*$")
+
+YEAR_MIN, YEAR_MAX = 2015, 2026
+
+
+def is_citation(text, start):
+    window = text[max(0, start - 70):start]
+    return bool(CITATION_RE.search(window)) or bool(CITATION_NUM_RE.search(window))
+
+
+def looks_like_signature(text, start):
+    if is_citation(text, start):
+        return False
+    window = text[max(0, start - 45):start]
+    return bool(PLACE_RE.search(window))
+
+
+def signature_dates(text):
+    out = []
+    for m in WRITTEN_RE.finditer(text):
+        day, mon, year = int(m.group(1)), MONTHS[m.group(2).lower()], int(m.group(3))
+        if 1 <= day <= 31 and YEAR_MIN <= year <= YEAR_MAX and looks_like_signature(text, m.start()):
+            out.append((m.start(), day, mon, year))
+    return out
+
+
+def recover(docs_json_path="web/docs.json", originals_dir="originals/Parte2"):
+    docs = json.load(open(docs_json_path, encoding="utf-8"))
+    undated = [r for r in docs if not r.get("date")]
+
+    results = {}
+    for r in undated:
+        path = os.path.join(originals_dir, r["file"])
+        try:
+            text = open(path, encoding="utf-8", errors="replace").read()
+        except OSError:
+            continue
+        cands = signature_dates(text)
+        if cands:
+            _, day, mon, year = cands[-1]
+            results[r["id"]] = f"{year:04d}-{mon:02d}-{day:02d}"
+    return results
+
+
+if __name__ == "__main__":
+    recovered = recover()
+    print(f"recovered {len(recovered)} of the originally-undated documents")
+
+    docs_path = "web/docs.json"
+    docs = json.load(open(docs_path, encoding="utf-8"))
+    for r in docs:
+        if not r.get("date") and r["id"] in recovered:
+            r["date"] = recovered[r["id"]]
+            r["dateInferred"] = True
+    json.dump(docs, open(docs_path, "w", encoding="utf-8"), ensure_ascii=False)
+
+    still_missing = sum(1 for r in docs if not r.get("date"))
+    print(f"still undated: {still_missing}")