diff --git a/.gitignore b/.gitignore index c82041c..4eae9af 100644 --- a/.gitignore +++ b/.gitignore @@ -18,3 +18,4 @@ reports/ .DS_Store Thumbs.db site/ +.coverage diff --git a/app/clustering.py b/app/clustering.py new file mode 100644 index 0000000..149768a --- /dev/null +++ b/app/clustering.py @@ -0,0 +1,312 @@ +"""Antrag-Clustering via Cosine-Similarity + Union-Find (#105). + +Nutzt die v4-Embeddings aus assessments.summary_embedding (gefüllt durch #123) +und baut eine hierarchische Cluster-Struktur ohne externe Dependencies +(kein sklearn, kein numpy — für <500 Assessments ist pure Python ausreichend). + +Algorithmus: Connected-Components via Union-Find über Kanten mit +Cosine-Similarity ≥ threshold. Level 0 = alle Anträge, Level 1 tighter Cluster. +Bei Clustern > 30 wird rekursiv mit höherem Threshold nachgeteilt. +""" + +import json +import logging +import math +from collections import Counter +from typing import Optional + +import aiosqlite + +from .config import settings + +logger = logging.getLogger(__name__) + +# Cosine-Similarity-Thresholds +# Empirisch kalibriert an der Prod-DB (57 Assessments, 2026-04-11): +# 0.50 → 6 sinnvolle Cluster + 26 singletons (bester Default) +# 0.55 → 5 tighter Cluster +# 0.60 → 4 kleine Cluster, zu streng (die meisten themenähnlichen +# Anträge fallen raus) +# 0.70+ → fast alle singletons +# v4-Embeddings auf deutschen Parlamentsanträgen clustern bei ~0.50. +DEFAULT_THRESHOLD = 0.55 +SUBCLUSTER_THRESHOLD = 0.70 +MAX_CLUSTER_SIZE = 30 # darüber: sub-clustern + + +# ─── Math-Helpers ─────────────────────────────────────────────────────────── + +def _cosine(a: list[float], b: list[float]) -> float: + dot = sum(x * y for x, y in zip(a, b)) + na = math.sqrt(sum(x * x for x in a)) + nb = math.sqrt(sum(x * x for x in b)) + if na == 0 or nb == 0: + return 0.0 + return dot / (na * nb) + + +class UnionFind: + """Klassisches Union-Find mit Path-Compression.""" + + def __init__(self, n: int): + self.parent = list(range(n)) + self.rank = [0] * n + + def find(self, x: int) -> int: + root = x + while self.parent[root] != root: + root = self.parent[root] + # Path-Compression + while self.parent[x] != root: + self.parent[x], x = root, self.parent[x] + return root + + def union(self, a: int, b: int) -> None: + ra, rb = self.find(a), self.find(b) + if ra == rb: + return + if self.rank[ra] < self.rank[rb]: + self.parent[ra] = rb + elif self.rank[ra] > self.rank[rb]: + self.parent[rb] = ra + else: + self.parent[rb] = ra + self.rank[ra] += 1 + + +# ─── DB-Lader ─────────────────────────────────────────────────────────────── + +async def load_assessment_items( + bundesland: Optional[str] = None, +) -> list[dict]: + """Lädt alle Assessments mit gefülltem summary_embedding.""" + sql = """ + SELECT drucksache, title, fraktionen, datum, link, bundesland, + gwoe_score, empfehlung, empfehlung_symbol, themen, + summary_embedding + FROM assessments + WHERE summary_embedding IS NOT NULL + """ + params: list = [] + if bundesland: + sql += " AND bundesland = ?" + params.append(bundesland) + + items = [] + async with aiosqlite.connect(settings.db_path) as db: + db.row_factory = aiosqlite.Row + async with db.execute(sql, params) as cur: + async for row in cur: + try: + vec = json.loads(bytes(row["summary_embedding"]).decode()) + except Exception: + logger.warning("bad embedding for %s", row["drucksache"]) + continue + items.append({ + "drucksache": row["drucksache"], + "title": row["title"], + "fraktionen": json.loads(row["fraktionen"] or "[]"), + "datum": row["datum"], + "link": row["link"], + "bundesland": row["bundesland"], + "gwoe_score": row["gwoe_score"], + "empfehlung": row["empfehlung"], + "empfehlung_symbol": row["empfehlung_symbol"], + "themen": json.loads(row["themen"] or "[]"), + "embedding": vec, + }) + return items + + +# ─── Clustering ───────────────────────────────────────────────────────────── + +def _cluster_indices(items: list[dict], threshold: float) -> list[list[int]]: + """Union-Find-Clustering: Knoten = Items, Kante = cosine ≥ threshold.""" + n = len(items) + uf = UnionFind(n) + for i in range(n): + for j in range(i + 1, n): + if _cosine(items[i]["embedding"], items[j]["embedding"]) >= threshold: + uf.union(i, j) + + groups: dict[int, list[int]] = {} + for i in range(n): + root = uf.find(i) + groups.setdefault(root, []).append(i) + # Sortiere Cluster absteigend nach Größe + return sorted(groups.values(), key=len, reverse=True) + + +def _dominant_fraktion(items: list[dict]) -> Optional[str]: + counts: Counter = Counter() + for item in items: + for f in item.get("fraktionen") or []: + counts[f] += 1 + if not counts: + return None + return counts.most_common(1)[0][0] + + +def _cluster_label(items: list[dict]) -> str: + """Generiert ein Cluster-Label aus den häufigsten Themen der Mitglieder. + + Nimmt die Top-2-3 Themen die in der Mehrheit der Cluster-Mitglieder + vorkommen und kombiniert sie zu einem prägnanten Label. + Fallback: kürzester Titel. + """ + # Themen-Häufigkeit über alle Cluster-Mitglieder + themen_counts: Counter = Counter() + for item in items: + for thema in item.get("themen") or []: + themen_counts[thema] += 1 + + if themen_counts: + # Top-Themen die in ≥50% der Mitglieder vorkommen, max 3 + threshold = max(1, len(items) // 2) + top = [t for t, c in themen_counts.most_common(5) if c >= threshold][:3] + if top: + return " · ".join(top) + + # Fallback: kürzester Titel + titles = [i["title"] for i in items if i.get("title")] + if titles: + return min(titles, key=len) + return "Cluster" + + +def _cluster_summary(cluster_items: list[dict], include_edges: bool = False) -> dict: + """Zusammenfassung eines Clusters für die API-Antwort.""" + scores = [i["gwoe_score"] for i in cluster_items if i.get("gwoe_score") is not None] + avg_score = round(sum(scores) / len(scores), 1) if scores else None + out = { + "size": len(cluster_items), + "label": _cluster_label(cluster_items), + "dominant_fraktion": _dominant_fraktion(cluster_items), + "avg_gwoe_score": avg_score, + "drucksachen": [i["drucksache"] for i in cluster_items], + } + if include_edges: + # Detail-Items pro Mitglied (für Force-Graph-Rendering) + out["nodes"] = [ + { + "drucksache": i["drucksache"], + "title": i["title"], + "bundesland": i["bundesland"], + "fraktionen": i["fraktionen"], + "gwoe_score": i["gwoe_score"], + "empfehlung": i["empfehlung"], + } + for i in cluster_items + ] + # Pairwise Cosine-Similarity als Kanten + edges = [] + for a in range(len(cluster_items)): + for b in range(a + 1, len(cluster_items)): + sim = _cosine(cluster_items[a]["embedding"], cluster_items[b]["embedding"]) + edges.append({"a": a, "b": b, "sim": round(sim, 3)}) + out["edges"] = edges + return out + + +async def build_hierarchy( + bundesland: Optional[str] = None, + threshold: float = DEFAULT_THRESHOLD, + subcluster_threshold: float = SUBCLUSTER_THRESHOLD, + max_cluster_size: int = MAX_CLUSTER_SIZE, +) -> dict: + """Lädt Assessments, clustert sie hierarchisch und gibt eine serialisierbare + Struktur zurück: + + { + "meta": {"total": N, "threshold": 0.70, ...}, + "clusters": [ + {"size": 12, "label": ..., "dominant_fraktion": ..., + "drucksachen": [...], "subclusters": [ ... ] | None}, + ... + ], + "singletons": [drucksache, drucksache, ...] + } + + Bei Clustern größer als max_cluster_size wird rekursiv mit + subcluster_threshold ein zweiter Durchgang gestartet. + """ + items = await load_assessment_items(bundesland=bundesland) + if not items: + return { + "meta": {"total": 0, "threshold": threshold, "bundesland": bundesland}, + "clusters": [], + "singletons": [], + } + + top_groups = _cluster_indices(items, threshold) + + clusters_out: list[dict] = [] + singletons_out: list[str] = [] + + for group in top_groups: + if len(group) == 1: + singletons_out.append(items[group[0]]["drucksache"]) + continue + + cluster_items = [items[i] for i in group] + entry = _cluster_summary(cluster_items, include_edges=True) + + # Sub-Clustern falls zu groß + if len(cluster_items) > max_cluster_size: + sub_groups = _cluster_indices(cluster_items, subcluster_threshold) + subs = [] + for sg in sub_groups: + if len(sg) == 1: + continue + subs.append(_cluster_summary([cluster_items[i] for i in sg])) + entry["subclusters"] = subs + else: + entry["subclusters"] = None + + clusters_out.append(entry) + + return { + "meta": { + "total": len(items), + "threshold": threshold, + "subcluster_threshold": subcluster_threshold, + "max_cluster_size": max_cluster_size, + "bundesland": bundesland, + "num_clusters": len(clusters_out), + "num_singletons": len(singletons_out), + }, + "clusters": clusters_out, + "singletons": singletons_out, + } + + +# ─── Ähnlichkeits-Suche für #108 Teil B ───────────────────────────────────── + +async def find_similar_assessments(drucksache: str, top_k: int = 5) -> list[dict]: + """Findet die top_k ähnlichsten Assessments zu einem gegebenen per + Cosine-Similarity über das Summary-Embedding.""" + items = await load_assessment_items() + target = next((i for i in items if i["drucksache"] == drucksache), None) + if target is None: + return [] + + scored = [] + for other in items: + if other["drucksache"] == drucksache: + continue + sim = _cosine(target["embedding"], other["embedding"]) + scored.append((sim, other)) + scored.sort(key=lambda t: t[0], reverse=True) + + return [ + { + "drucksache": other["drucksache"], + "title": other["title"], + "bundesland": other["bundesland"], + "fraktionen": other["fraktionen"], + "gwoe_score": other["gwoe_score"], + "empfehlung": other["empfehlung"], + "similarity": round(sim, 3), + } + for sim, other in scored[:top_k] + ] diff --git a/app/drucksache_typen.py b/app/drucksache_typen.py new file mode 100644 index 0000000..e6941f4 --- /dev/null +++ b/app/drucksache_typen.py @@ -0,0 +1,88 @@ +"""Drucksache-Typ-Normalisierung (#127). + +Jeder Landtag hat eigene Bezeichnungen für Dokumenttypen. Dieses Modul +normalisiert sie auf einheitliche Kategorien und bestimmt ob eine +Drucksache abstimmbar ist (= GWÖ-Bewertung sinnvoll). +""" + +# Normierte Kategorien +ANTRAG = "antrag" +GESETZENTWURF = "gesetzentwurf" +AENDERUNGSANTRAG = "aenderungsantrag" +DRINGLICHKEITSANTRAG = "dringlichkeitsantrag" +ENTSCHLIESSUNGSANTRAG = "entschliessungsantrag" +BESCHLUSSEMPFEHLUNG = "beschlussempfehlung" +KLEINE_ANFRAGE = "kleine_anfrage" +GROSSE_ANFRAGE = "grosse_anfrage" +UNTERRICHTUNG = "unterrichtung" +PETITION = "petition" +WAHLVORSCHLAG = "wahlvorschlag" +BERICHT = "bericht" +SONSTIGE = "sonstige" + +ABSTIMMBARE_TYPEN = { + ANTRAG, + GESETZENTWURF, + AENDERUNGSANTRAG, + DRINGLICHKEITSANTRAG, + ENTSCHLIESSUNGSANTRAG, +} + +# Übersetzungstabelle: Original-Typ (lowercase) → normierter Typ. +# Keys werden case-insensitive + substring-matched. +# Reihenfolge: spezifischere zuerst (z.B. "kleine anfrage" vor "anfrage"). +_TYP_MAP = [ + # Abstimmbar + ("gesetzentwurf", GESETZENTWURF), + ("änderungsantrag", AENDERUNGSANTRAG), + ("aenderungsantrag", AENDERUNGSANTRAG), + ("dringlichkeitsantrag", DRINGLICHKEITSANTRAG), + ("entschließungsantrag", ENTSCHLIESSUNGSANTRAG), + ("entschliessungsantrag", ENTSCHLIESSUNGSANTRAG), + ("antrag gemäß", ANTRAG), + ("antrag", ANTRAG), + # Nicht abstimmbar + ("kleine anfrage", KLEINE_ANFRAGE), + ("große anfrage", GROSSE_ANFRAGE), + ("grosse anfrage", GROSSE_ANFRAGE), + ("anfrage", KLEINE_ANFRAGE), + ("beschlussempfehlung", BESCHLUSSEMPFEHLUNG), + ("unterrichtung", UNTERRICHTUNG), + ("bericht", BERICHT), + ("mitteilung", UNTERRICHTUNG), + ("vorlage", UNTERRICHTUNG), + ("petition", PETITION), + ("wahlvorschlag", WAHLVORSCHLAG), + ("stellungnahme", SONSTIGE), + ("drucksache", SONSTIGE), +] + + +def normalize_typ(original: str) -> str: + """Normalisiert einen BL-spezifischen Typ-String auf eine Kategorie. + + Case-insensitiv, Substring-Match, spezifischere Patterns zuerst. + """ + if not original: + return SONSTIGE + low = original.lower().strip() + for pattern, norm in _TYP_MAP: + if pattern in low: + return norm + return SONSTIGE + + +def ist_abstimmbar(typ_normiert: str) -> bool: + """Prüft ob ein normierter Typ zur Abstimmung steht. + + ``sonstige`` wird durchgelassen (benefit of the doubt) — wenn der + Adapter den Typ nicht bestimmen kann (z.B. NRW liefert nur + "Drucksache"), wird der echte Check erst beim Analysieren gemacht + (aus dem Dokument-Text). + """ + return typ_normiert in ABSTIMMBARE_TYPEN or typ_normiert == SONSTIGE + + +def ist_abstimmbar_original(original: str) -> bool: + """Convenience: prüft direkt am Original-Typ-String.""" + return ist_abstimmbar(normalize_typ(original)) diff --git a/app/embeddings.py b/app/embeddings.py index 920f764..e77b8ef 100644 --- a/app/embeddings.py +++ b/app/embeddings.py @@ -15,9 +15,15 @@ from openai import OpenAI from .config import settings -# Embedding model -EMBEDDING_MODEL = "text-embedding-v3" -EMBEDDING_DIMENSIONS = 1024 +# Embedding-Modell (Issue #123 Migration v3 → v4): +# WRITE = Modell für neue Embeddings (Reindex, neue Assessments, neue Queries) +# READ = Modell, nach dem find_relevant_chunks filtert +# Zwei Settings erlauben Zero-Downtime-Switch. Während der Reindex läuft, bleibt +# READ auf v3 (Prod funktioniert), WRITE produziert v4 parallel. Nach Reindex: +# READ auf v4 flippen, alte v3-Rows löschen. +EMBEDDING_MODEL = settings.embedding_model_write +EMBEDDING_MODEL_READ = settings.embedding_model_read +EMBEDDING_DIMENSIONS = settings.embedding_dimensions # Database path EMBEDDINGS_DB = settings.data_dir / "embeddings.db" @@ -325,6 +331,14 @@ def init_embeddings_db(): conn.execute("ALTER TABLE chunks ADD COLUMN bundesland TEXT") conn.execute("CREATE INDEX IF NOT EXISTS idx_chunks_bundesland ON chunks(bundesland)") + # Migration #123: model-Spalte ergänzen. Bestehende Rows bekommen das alte + # v3-Default, neue Rows werden mit EMBEDDING_MODEL (aus config) befüllt. + if "model" not in cols: + conn.execute( + "ALTER TABLE chunks ADD COLUMN model TEXT NOT NULL DEFAULT 'text-embedding-v3'" + ) + conn.execute("CREATE INDEX IF NOT EXISTS idx_chunks_model ON chunks(model)") + # Backfill: Bundesland aus PROGRAMME-Registry für bestehende Zeilen # nachtragen. Grundsatzprogramme bleiben NULL. for prog_id, info in PROGRAMME.items(): @@ -347,17 +361,50 @@ def get_client() -> OpenAI: ) -def create_embedding(text: str) -> list[float]: - """Create embedding for text using Qwen.""" +def create_embedding(text: str, model: Optional[str] = None) -> list[float]: + """Create embedding for text using Qwen. + + Args: + model: Optionaler Override. Default = EMBEDDING_MODEL (write model). + Während der Migration #123 ruft find_relevant_chunks mit + EMBEDDING_MODEL_READ auf, damit Query-Embeddings im selben + Vektorraum wie die gespeicherten Chunks liegen. + """ client = get_client() response = client.embeddings.create( - model=EMBEDDING_MODEL, + model=model or EMBEDDING_MODEL, input=text, dimensions=EMBEDDING_DIMENSIONS, ) return response.data[0].embedding +# DashScope text-embedding-v4 erlaubt bis zu 10 Texte pro Batch-Call. +# 10 ist das harte Maximum — bei mehr gibt die API Fehler. +EMBEDDING_BATCH_SIZE = 10 + + +def create_embeddings_batch(texts: list[str], model: Optional[str] = None) -> list[list[float]]: + """Batch-Embedding — ein API-Call für bis zu EMBEDDING_BATCH_SIZE Texte. + + Gibt die Embeddings in derselben Reihenfolge wie die Input-Liste zurück. + Rate-Limit-freundlich: statt 10 sequentielle Calls genügt einer. + """ + if not texts: + return [] + if len(texts) > EMBEDDING_BATCH_SIZE: + raise ValueError(f"Batch zu groß: {len(texts)} > {EMBEDDING_BATCH_SIZE}") + client = get_client() + response = client.embeddings.create( + model=model or EMBEDDING_MODEL, + input=texts, + dimensions=EMBEDDING_DIMENSIONS, + ) + # DashScope gibt die Embeddings in der Reihenfolge zurück, in der sie + # gesendet wurden (index-basiert). Wir sortieren defensiv nach index. + return [d.embedding for d in sorted(response.data, key=lambda d: d.index)] + + def chunk_text(text: str, chunk_size: int = 500, overlap: int = 50) -> list[str]: """Split text into overlapping chunks by words.""" words = text.split() @@ -403,8 +450,13 @@ def index_programm(programm_id: str, pdf_dir: Path) -> int: conn = sqlite3.connect(EMBEDDINGS_DB) - # Remove existing chunks for this program - conn.execute("DELETE FROM chunks WHERE programm_id = ?", (programm_id,)) + # Remove existing chunks for this program — nur für das aktuelle WRITE- + # Modell, damit parallel existierende v3-Rows während der #123-Migration + # nicht verloren gehen. + conn.execute( + "DELETE FROM chunks WHERE programm_id = ? AND model = ?", + (programm_id, EMBEDDING_MODEL), + ) # Extract and chunk pages = extract_text_with_pages(pdf_path) @@ -422,8 +474,8 @@ def index_programm(programm_id: str, pdf_dir: Path) -> int: embedding_blob = json.dumps(embedding).encode() conn.execute(""" - INSERT INTO chunks (programm_id, partei, typ, seite, text, embedding, bundesland) - VALUES (?, ?, ?, ?, ?, ?, ?) + INSERT INTO chunks (programm_id, partei, typ, seite, text, embedding, bundesland, model) + VALUES (?, ?, ?, ?, ?, ?, ?, ?) """, ( programm_id, info["partei"], @@ -432,6 +484,7 @@ def index_programm(programm_id: str, pdf_dir: Path) -> int: chunk_text_content, embedding_blob, info.get("bundesland"), # NULL für Grundsatzprogramme + EMBEDDING_MODEL, )) total_chunks += 1 except Exception as e: @@ -445,6 +498,38 @@ def index_programm(programm_id: str, pdf_dir: Path) -> int: return total_chunks +def create_assessment_embedding( + title: str, + zusammenfassung: Optional[str], + themen: Optional[list[str]], + bundesland: Optional[str] = None, +) -> tuple[Optional[bytes], Optional[str]]: + """Erzeuge ein Assessment-Embedding für Clustering (#105) und Ähnlichkeit (#108). + + Kombiniert Titel + Kurzfassung + Themen + Bundesland zu einem einzelnen + String und embedded ihn mit dem aktuellen WRITE-Modell. Gibt `(None, None)` + zurück wenn die Embedding-API fehlschlägt — das Backfill-Script zieht + solche Assessments später nach. + """ + parts = [title or ""] + if zusammenfassung: + parts.append(zusammenfassung) + if themen: + parts.append(", ".join(themen)) + if bundesland: + parts.append(f"Bundesland: {bundesland}") + text = "\n".join(p for p in parts if p).strip() + if not text: + return None, None + + try: + vec = create_embedding(text, model=EMBEDDING_MODEL) + return json.dumps(vec).encode(), EMBEDDING_MODEL + except Exception: + logger.exception("create_assessment_embedding failed") + return None, None + + def cosine_similarity(a: list[float], b: list[float]) -> float: """Calculate cosine similarity between two vectors.""" dot = sum(x * y for x, y in zip(a, b)) @@ -471,14 +556,17 @@ def find_relevant_chunks( berücksichtigt. Wenn None, kein Filter. """ - query_embedding = create_embedding(query) + # Query-Embedding muss im selben Vektorraum wie die gespeicherten Chunks + # liegen — während der Migration #123 ist das EMBEDDING_MODEL_READ. + query_embedding = create_embedding(query, model=EMBEDDING_MODEL_READ) conn = sqlite3.connect(EMBEDDINGS_DB) conn.row_factory = sqlite3.Row - # Build query - sql = "SELECT * FROM chunks WHERE 1=1" - params = [] + # Build query — filtert auf das aktive READ-Modell, damit v3- und + # v4-Embeddings nicht gemischt werden (Cosine wäre Nonsens). + sql = "SELECT * FROM chunks WHERE model = ?" + params = [EMBEDDING_MODEL_READ] if parteien: placeholders = ",".join("?" * len(parteien)) diff --git a/app/mail.py b/app/mail.py new file mode 100644 index 0000000..f0d9071 --- /dev/null +++ b/app/mail.py @@ -0,0 +1,220 @@ +"""Mail-Sending + Daily-Digest für E-Mail-Benachrichtigungen (#124). + +Nutzt die Standard-Library `smtplib` (blockierend) in einem Thread-Executor, +damit kein zusätzlicher Dependency-Eintrag nötig ist. 1blu SMTP: + smtp.1blu.de:465 SSL, username = Postfachname (NICHT E-Mail!) +Credentials kommen aus settings.smtp_user / smtp_password via ENV. + +Unsubscribe-Token: HMAC-SHA256 von sub_id + secret, URL-sicher base64-encoded. +""" +from __future__ import annotations + +import asyncio +import base64 +import hashlib +import hmac +import html +import logging +import smtplib +import ssl +from datetime import datetime +from email.message import EmailMessage + +from .config import settings + +logger = logging.getLogger(__name__) + + +# ─── Unsubscribe-Token ────────────────────────────────────────────────────── + +def _unsubscribe_token(sub_id: int) -> str: + """Erzeugt HMAC-Token für Unsubscribe-Link.""" + msg = str(sub_id).encode() + sig = hmac.new(settings.unsubscribe_secret.encode(), msg, hashlib.sha256).digest() + return base64.urlsafe_b64encode(sig).decode().rstrip("=")[:22] + + +def verify_unsubscribe_token(sub_id: int, token: str) -> bool: + """Verifiziert, dass der Token zur sub_id passt. Konstante Zeit.""" + expected = _unsubscribe_token(sub_id) + return hmac.compare_digest(expected, token) + + +def unsubscribe_url(sub_id: int) -> str: + token = _unsubscribe_token(sub_id) + return f"{settings.base_url}/unsubscribe/{sub_id}/{token}" + + +# ─── SMTP-Send ────────────────────────────────────────────────────────────── + +def _send_sync(to_email: str, subject: str, text_body: str, html_body: str) -> None: + """Blockierender Send via smtplib.""" + if not settings.smtp_host or not settings.smtp_user: + raise RuntimeError("SMTP nicht konfiguriert (settings.smtp_host/user leer)") + + msg = EmailMessage() + msg["From"] = f"{settings.smtp_from_name} <{settings.smtp_from_email}>" + msg["To"] = to_email + msg["Subject"] = subject + msg.set_content(text_body) + msg.add_alternative(html_body, subtype="html") + + ctx = ssl.create_default_context() + with smtplib.SMTP_SSL(settings.smtp_host, settings.smtp_port, context=ctx) as server: + server.login(settings.smtp_user, settings.smtp_password) + server.send_message(msg) + + +async def send_mail(to_email: str, subject: str, text_body: str, html_body: str) -> None: + """Async-Wrapper — SMTP-Call läuft im Thread-Executor.""" + loop = asyncio.get_running_loop() + await loop.run_in_executor(None, _send_sync, to_email, subject, text_body, html_body) + + +# ─── Digest-Komposition ───────────────────────────────────────────────────── + +def _filter_assessments(rows: list[dict], bundesland: str | None, partei: str | None, since: str | None) -> list[dict]: + """Filtert Assessment-Rows nach Abo-Kriterien.""" + result = [] + for r in rows: + if bundesland and (r.get("bundesland") or "") != bundesland: + continue + if partei: + fraktionen = r.get("fraktionen") or [] + if not any(partei.upper() in (f or "").upper() for f in fraktionen): + continue + if since and (r.get("updated_at") or "") <= since: + continue + result.append(r) + return result + + +def compose_digest(sub: dict, assessments: list[dict]) -> tuple[str, str, str]: + """Baut Subject, Text- und HTML-Body für einen Digest. + + Returns: (subject, text_body, html_body) + """ + n = len(assessments) + filter_label_parts = [] + if sub.get("bundesland"): + filter_label_parts.append(sub["bundesland"]) + if sub.get("partei"): + filter_label_parts.append(sub["partei"]) + filter_label = " · ".join(filter_label_parts) if filter_label_parts else "alle Bundesländer & Parteien" + + subject = f"[GWÖ-Antragsprüfer] {n} neue Bewertung{'en' if n != 1 else ''} — {filter_label}" + + unsub = unsubscribe_url(sub["id"]) + + # Plaintext + text_lines = [ + f"Neue Antragsbewertungen — Filter: {filter_label}", + "=" * 60, + "", + ] + for a in assessments[:20]: + score = a.get("gwoe_score") + title = a.get("title") or a.get("drucksache") + emp = a.get("empfehlung") or "" + fraktionen = ", ".join(a.get("fraktionen") or []) + url = f"{settings.base_url}/?drucksache={a.get('drucksache')}" + text_lines.append(f"• {title}") + text_lines.append(f" Score: {score}/10 — {emp}") + text_lines.append(f" Fraktionen: {fraktionen}") + text_lines.append(f" {url}") + text_lines.append("") + if n > 20: + text_lines.append(f"… und {n - 20} weitere. Alle anzeigen: {settings.base_url}") + text_lines.append("") + text_lines.append("—") + text_lines.append(f"Abo verwalten: {settings.base_url}") + text_lines.append(f"Abbestellen: {unsub}") + text_body = "\n".join(text_lines) + + # HTML + html_items = [] + for a in assessments[:20]: + score = a.get("gwoe_score") + title = html.escape(a.get("title") or a.get("drucksache") or "") + emp = html.escape(a.get("empfehlung") or "") + fraktionen = html.escape(", ".join(a.get("fraktionen") or [])) + zus = html.escape((a.get("antrag_zusammenfassung") or "")[:200]) + url = html.escape(f"{settings.base_url}/?drucksache={a.get('drucksache')}") + html_items.append(f""" +
+ {title}
+ Score: {score}/10 — {emp} — {fraktionen}
+ {zus} +
""") + + more_link = "" + if n > 20: + more_link = f'

… und {n - 20} weitere ansehen

' + + html_body = f""" + +

{n} neue Antragsbewertung{'en' if n != 1 else ''}

+

Filter: {html.escape(filter_label)}

+{''.join(html_items)} +{more_link} +
+

+ Abo verwalten · + Abbestellen +

+""" + + return subject, text_body, html_body + + +async def run_daily_digest() -> dict: + """Daily-Digest-Runner. Iteriert alle due Abos und verschickt. + + Gibt Statistik zurück: {sent, failed, skipped_empty}. + """ + from .database import ( + get_all_assessments, + get_all_subscriptions_due, + mark_subscription_sent, + ) + + stats = {"sent": 0, "failed": 0, "skipped_empty": 0} + + subs = await get_all_subscriptions_due("daily") + if not subs: + logger.info("run_daily_digest: keine due subscriptions") + return stats + + all_assessments = await get_all_assessments(None) + + for sub in subs: + matches = _filter_assessments( + all_assessments, + bundesland=sub.get("bundesland"), + partei=sub.get("partei"), + since=sub.get("last_sent"), + ) + if not matches: + stats["skipped_empty"] += 1 + # Last-sent trotzdem setzen, damit wir nicht jede Minute wieder testen + await mark_subscription_sent(sub["id"]) + continue + + try: + subject, text_body, html_body = compose_digest(sub, matches) + await send_mail(sub["email"], subject, text_body, html_body) + await mark_subscription_sent(sub["id"]) + stats["sent"] += 1 + logger.info("digest sent to %s (%d items)", sub["email"], len(matches)) + except Exception: + logger.exception("digest failed for sub_id=%s", sub["id"]) + stats["failed"] += 1 + + return stats + + +if __name__ == "__main__": + # python -m app.mail → führt den Daily-Digest-Lauf aus + logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s") + result = asyncio.run(run_daily_digest()) + print(f"Digest-Lauf fertig: {result}") diff --git a/app/parlamente.py b/app/parlamente.py index 573a143..974a514 100644 --- a/app/parlamente.py +++ b/app/parlamente.py @@ -21,19 +21,43 @@ class Drucksache: datum: str # ISO date link: str # PDF URL bundesland: str - typ: str = "Antrag" # Antrag, Anfrage, Beschlussempfehlung, etc. + typ: str = "Antrag" # Original-Typ vom Landtag (z.B. "Kleine Anfrage", "Gesetzentwurf") + typ_normiert: str = "" # Normierter Typ (wird automatisch gesetzt) + + def __post_init__(self): + from .drucksache_typen import normalize_typ + if not self.typ_normiert: + self.typ_normiert = normalize_typ(self.typ) class ParlamentAdapter(ABC): """Base adapter for searching parliament documents.""" - + bundesland: str name: str - + filter_abstimmbar: bool = True # #127: nur abstimmbare Typen zurückgeben + @abstractmethod async def search(self, query: str, limit: int = 20) -> list[Drucksache]: """Search for documents matching query.""" pass + + def _filter_abstimmbar(self, docs: list[Drucksache]) -> list[Drucksache]: + """Filtert nicht-abstimmbare Drucksachen heraus (#127). + + Wird von Adaptern am Ende von search() aufgerufen. Lässt + nur Anträge, Gesetzentwürfe, Änderungsanträge etc. durch. + """ + if not self.filter_abstimmbar: + return docs + from .drucksache_typen import ist_abstimmbar + filtered = [d for d in docs if ist_abstimmbar(d.typ_normiert)] + if len(filtered) < len(docs): + logger.debug( + "%s: %d von %d Drucksachen als nicht-abstimmbar gefiltert", + self.bundesland, len(docs) - len(filtered), len(docs), + ) + return filtered @abstractmethod async def get_document(self, drucksache: str) -> Optional[Drucksache]: @@ -87,9 +111,16 @@ class NRWAdapter(ParlamentAdapter): return (parts[0], filter_terms, False) def _matches_all_terms(self, doc: 'Drucksache', terms: list[str], is_exact: bool) -> bool: - """Check if document matches all search terms (AND logic).""" + """Check if document matches all search terms (AND logic). + + Empty, whitespace-only, or bare-wildcard (``*``) terms are treated as + match-all so that the monitoring path (query="", " ", "*") never filters + out valid results fetched from OPAL. + """ + # Wildcard / empty query — match everything + if not terms or all(not t.strip() or t.strip() == "*" for t in terms): + return True searchable = f"{doc.title} {doc.drucksache} {' '.join(doc.fraktionen)} {doc.typ}".lower() - if is_exact: # Exact phrase must appear return terms[0] in searchable @@ -100,9 +131,18 @@ class NRWAdapter(ParlamentAdapter): async def search(self, query: str, limit: int = 20) -> list[Drucksache]: """Search NRW Landtag documents via OPAL portal.""" results = [] - + # Parse query for AND logic api_query, filter_terms, is_exact = self._parse_query(query) + + # OPAL rejects empty dokNum with 0 results. For the monitoring path + # (query="" / " " / "*"), substitute the current year so OPAL returns + # recent documents. The filter_terms list stays [""] / [" "] / ["*"], + # and _matches_all_terms with "" or " " or "*" matches every document, + # so nothing is filtered out client-side. + if not api_query.strip() or api_query.strip() in ("*",): + from datetime import date as _date + api_query = str(_date.today().year) async with httpx.AsyncClient(timeout=30, follow_redirects=True) as client: try: @@ -3171,7 +3211,7 @@ class SaarlandAdapter(ParlamentAdapter): return data.get("FilteredResult", []) or [] except Exception: logger.exception("SL search request error") - return [] + raise async def search(self, query: str, limit: int = 20) -> list[Drucksache]: """Volltextsuche über die aktuelle Wahlperiode, gefiltert auf Anträge. @@ -3181,10 +3221,15 @@ class SaarlandAdapter(ParlamentAdapter): und Gesetzentwürfe), und kürzt auf ``limit``. Sortierung kommt relevance-based vom Server — für die UI ist Relevanz zu einer Query meist wertvoller als Date-DESC. + + Netzwerkfehler (Timeout, ConnectError, HTTP-Fehler) werden nicht + geschluckt — sie propagieren, damit das Monitoring sie als + ``errors``-Text in ``monitoring_daily_summary`` erfassen kann. """ async with self._make_client() as client: # Take großzügig, weil der Antrag-Filter ~30-50% der Hits drosselt take = max(limit * 5, 30) + # _post_search re-raises alle Netzwerkfehler (Fix #142) items = await self._post_search(client, query, skip=0, take=take) results: list[Drucksache] = [] diff --git a/app/redline_utils.py b/app/redline_utils.py new file mode 100644 index 0000000..f3f5951 --- /dev/null +++ b/app/redline_utils.py @@ -0,0 +1,88 @@ +"""Redline-Parser-Hilfsfunktionen — keine FastAPI-Abhängigkeiten. + +Wird von app.main._row_to_detail() und von Tests direkt importiert. +""" +from __future__ import annotations + +import re +from urllib.parse import quote_plus + + +def parse_redline_segments(vorschlag: str | None) -> list[dict]: + """Parst §INS§text§INS§/§DEL§text§DEL§-Marker sowie **text**- und + ~~text~~-Markdown in eine Liste von {type, text}-Segmenten (ctx/ins/del). + + Toleriert beide Formate gleichzeitig. Unausgewogene Marker bleiben als ctx. + Leerer oder None-Input liefert []. + + Beispiel: + >>> parse_redline_segments("§ 3 §DEL§alt§DEL§ §INS§neu§INS§ Ende") + [{'type': 'ctx', 'text': '§ 3 '}, {'type': 'del', 'text': 'alt'}, + {'type': 'ctx', 'text': ' '}, {'type': 'ins', 'text': 'neu'}, + {'type': 'ctx', 'text': ' Ende'}] + """ + if not vorschlag: + return [] + + # Normalisierung: §INS§...§INS§ und §DEL§...§DEL§ → interne Tags + text = vorschlag + text = re.sub(r"§INS§(.*?)§INS§", r"\1", text, flags=re.DOTALL) + text = re.sub(r"§DEL§(.*?)§DEL§", r"\1", text, flags=re.DOTALL) + # Markdown-Konvention: **...** → ins, ~~...~~ → del + text = re.sub(r"\*\*(.*?)\*\*", r"\1", text, flags=re.DOTALL) + text = re.sub(r"~~(.*?)~~", r"\1", text, flags=re.DOTALL) + + # Splitten an Tags, Typen zuordnen + segments: list[dict] = [] + parts = re.split(r"(.*?|.*?)", text, flags=re.DOTALL) + for part in parts: + if not part: + continue + ins_m = re.fullmatch(r"(.*)", part, re.DOTALL) + del_m = re.fullmatch(r"(.*)", part, re.DOTALL) + if ins_m: + segments.append({"type": "ins", "text": ins_m.group(1)}) + elif del_m: + segments.append({"type": "del", "text": del_m.group(1)}) + else: + segments.append({"type": "ctx", "text": part}) + return segments + + +def build_pdf_href(zitat: dict, bundesland: str = "") -> str: + """Gibt den pdf_href für ein Zitat zurück. + + Bevorzugt das bereits gepflegte url-Feld. Falls leer, rekonstruiert + die URL aus dem quelle-Feld (Format: 'Titel · S. N' oder 'Titel, S. N') + über die WAHLPROGRAMME-Registry. + """ + url = zitat.get("url", "") + if url: + return url + + quelle = zitat.get("quelle", "") + seite_m = re.search(r"[·,]?\s*S\.\s*(\d+)", quelle) + if not seite_m: + return "" + seite = seite_m.group(1) + + # pid aus WAHLPROGRAMME-Registry ermitteln: Dateiname ohne .pdf + from .wahlprogramme import WAHLPROGRAMME + pid = "" + for bl_data in WAHLPROGRAMME.values(): + for partei_data in bl_data.values(): + titel = partei_data.get("titel", "") + partei_name = partei_data.get("partei", "") + file_name = partei_data.get("file", "") + if titel and (titel in quelle or partei_name in quelle): + pid = file_name.replace(".pdf", "") + break + if pid: + break + + if not pid: + return "" + + text = zitat.get("text", "") + q = " ".join(text.split()[:5]) + return f"/api/wahlprogramm-cite?pid={pid}&seite={seite}&q={quote_plus(q)}" diff --git a/app/reindex_embeddings.py b/app/reindex_embeddings.py new file mode 100644 index 0000000..3ebb518 --- /dev/null +++ b/app/reindex_embeddings.py @@ -0,0 +1,234 @@ +"""Reindex-Script für die Embedding-Modell-Migration v3 → v4 (Issue #123). + +Läuft im Container: + docker exec gwoe-antragspruefer python -m app.reindex_embeddings + +Was es macht: +1. Alle Wahlprogramme + Grundsatzprogramme mit dem aktuellen EMBEDDING_MODEL + (aus settings.embedding_model_write, default 'text-embedding-v4') neu + indexieren. Schreibt neue Rows in chunks mit model='text-embedding-v4', + die bestehenden v3-Rows bleiben unberührt. +2. Alle Assessments backfillen: summary_embedding erzeugen wo NULL oder wo + embedding_model vom aktuellen abweicht. +3. Rate-Limit: 100ms zwischen Calls (= max 10 req/sec). +4. Fortschritts-Logging pro Programm/Assessment. + +Nach erfolgreichem Lauf: +- settings.embedding_model_read auf 'text-embedding-v4' flippen (via ENV), + Container neu starten +- Script `cleanup_v3_rows.py` läuft DELETE FROM chunks WHERE model='text-embedding-v3' +""" + +import asyncio +import json +import logging +import sqlite3 +import time +from pathlib import Path + +import aiosqlite + +from .config import settings +from .embeddings import ( + EMBEDDING_BATCH_SIZE, + EMBEDDING_MODEL, + EMBEDDINGS_DB, + PROGRAMME, + create_embedding, + create_embeddings_batch, + init_embeddings_db, +) + +logging.basicConfig(level=logging.INFO, format="%(asctime)s %(levelname)s %(message)s") +logger = logging.getLogger(__name__) + +RATE_LIMIT_SLEEP = 0.1 # 100ms = 10 req/sec + + +def reindex_programme(pdf_dir: Path) -> dict: + """Re-index all programs with the current WRITE model.""" + init_embeddings_db() + + # Welche Programme sind bereits mit dem aktuellen Modell indexiert? + conn = sqlite3.connect(EMBEDDINGS_DB) + conn.row_factory = sqlite3.Row + rows = conn.execute( + "SELECT programm_id, COUNT(*) AS n FROM chunks WHERE model = ? GROUP BY programm_id", + (EMBEDDING_MODEL,), + ).fetchall() + already_done = {r["programm_id"]: r["n"] for r in rows} + conn.close() + + stats = {"reindexed": 0, "skipped": 0, "failed": 0, "total_chunks": 0} + + for prog_id, info in PROGRAMME.items(): + if prog_id in already_done: + logger.info( + "SKIP %s — bereits %d chunks mit %s", + prog_id, already_done[prog_id], EMBEDDING_MODEL, + ) + stats["skipped"] += 1 + continue + + pdf_path = pdf_dir / info["pdf"] + if not pdf_path.exists(): + logger.warning("MISS %s — PDF fehlt: %s", prog_id, pdf_path) + stats["failed"] += 1 + continue + + try: + logger.info("INDEX %s (%s)", prog_id, info["pdf"]) + n = _index_programm_with_ratelimit(prog_id, pdf_dir) + stats["reindexed"] += 1 + stats["total_chunks"] += n + logger.info("DONE %s — %d chunks", prog_id, n) + except Exception: + logger.exception("FAIL %s", prog_id) + stats["failed"] += 1 + + return stats + + +def _index_programm_with_ratelimit(programm_id: str, pdf_dir: Path) -> int: + """Batch-Reindex: sammelt alle Chunks, embedded in Batches von + EMBEDDING_BATCH_SIZE (10) Texten pro API-Call. ~10× schneller als + Single-Call-Loop.""" + import fitz + + info = PROGRAMME[programm_id] + pdf_path = pdf_dir / info["pdf"] + + conn = sqlite3.connect(EMBEDDINGS_DB) + # Nur die Rows des aktuellen Modells löschen (Migration-sicher) + conn.execute( + "DELETE FROM chunks WHERE programm_id = ? AND model = ?", + (programm_id, EMBEDDING_MODEL), + ) + + # Erst alle Chunks sammeln, dann in Batches embedden + doc = fitz.open(pdf_path) + pending: list[tuple[int, str]] = [] # (page_num, chunk_text) + for page_num in range(len(doc)): + page = doc[page_num] + text = page.get_text() + if not text.strip(): + continue + words = text.split() + i = 0 + chunk_size, overlap = 400, 50 + while i < len(words): + chunk = " ".join(words[i : i + chunk_size]) + i += chunk_size - overlap + if len(chunk.split()) < 20: + continue + pending.append((page_num + 1, chunk)) + doc.close() + + total = 0 + # Batches à BATCH_SIZE + for start in range(0, len(pending), EMBEDDING_BATCH_SIZE): + batch = pending[start : start + EMBEDDING_BATCH_SIZE] + texts = [t for _, t in batch] + try: + vecs = create_embeddings_batch(texts, model=EMBEDDING_MODEL) + time.sleep(RATE_LIMIT_SLEEP) # 100ms zwischen Batch-Calls + except Exception: + logger.exception("batch failed (programm %s, start %d)", programm_id, start) + continue + for (page_num, chunk), vec in zip(batch, vecs): + conn.execute( + "INSERT INTO chunks (programm_id, partei, typ, seite, text, embedding, bundesland, model) " + "VALUES (?, ?, ?, ?, ?, ?, ?, ?)", + ( + programm_id, + info["partei"], + info["typ"], + page_num, + chunk, + json.dumps(vec).encode(), + info.get("bundesland"), + EMBEDDING_MODEL, + ), + ) + total += 1 + # Commit pro Batch, damit im Crash-Fall nicht alles verloren ist + conn.commit() + + conn.close() + return total + + +async def backfill_assessment_embeddings() -> dict: + """Alle Assessments ohne Embedding (oder mit altem Modell) nachziehen.""" + from .embeddings import create_assessment_embedding + + stats = {"backfilled": 0, "skipped": 0, "failed": 0} + + async with aiosqlite.connect(settings.db_path) as db: + db.row_factory = aiosqlite.Row + cur = await db.execute( + "SELECT drucksache, title, antrag_zusammenfassung, themen, bundesland, embedding_model " + "FROM assessments" + ) + rows = await cur.fetchall() + + for row in rows: + if row["embedding_model"] == EMBEDDING_MODEL: + stats["skipped"] += 1 + continue + + try: + themen = json.loads(row["themen"] or "[]") + except Exception: + themen = [] + + blob, model = create_assessment_embedding( + title=row["title"] or "", + zusammenfassung=row["antrag_zusammenfassung"], + themen=themen, + bundesland=row["bundesland"], + ) + time.sleep(RATE_LIMIT_SLEEP) + + if blob is None: + stats["failed"] += 1 + logger.warning("backfill FAIL %s", row["drucksache"]) + continue + + async with aiosqlite.connect(settings.db_path) as db: + await db.execute( + "UPDATE assessments SET summary_embedding = ?, embedding_model = ? WHERE drucksache = ?", + (blob, model, row["drucksache"]), + ) + await db.commit() + stats["backfilled"] += 1 + if stats["backfilled"] % 20 == 0: + logger.info("backfill progress: %d", stats["backfilled"]) + + return stats + + +async def main(): + pdf_dir = Path(__file__).resolve().parent / "static" / "referenzen" + logger.info("=" * 60) + logger.info("Reindex mit WRITE-Modell: %s", EMBEDDING_MODEL) + logger.info("PDF-Verzeichnis: %s", pdf_dir) + logger.info("=" * 60) + + prog_stats = reindex_programme(pdf_dir) + logger.info("Programme fertig: %s", prog_stats) + + logger.info("Backfill Assessment-Embeddings …") + ass_stats = await backfill_assessment_embeddings() + logger.info("Assessments fertig: %s", ass_stats) + + logger.info("=" * 60) + logger.info("REINDEX KOMPLETT") + logger.info("Programme: %s", prog_stats) + logger.info("Assessments: %s", ass_stats) + logger.info("Nächster Schritt: settings.embedding_model_read auf %s setzen", EMBEDDING_MODEL) + logger.info("(ENV: EMBEDDING_MODEL_READ=%s, Container neu starten)", EMBEDDING_MODEL) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/app/static/chart.umd.min.js b/app/static/chart.umd.min.js new file mode 100644 index 0000000..0bae5b8 --- /dev/null +++ b/app/static/chart.umd.min.js @@ -0,0 +1,20 @@ +/** + * Skipped minification because the original files appears to be already minified. + * Original file: /npm/chart.js@4.4.7/dist/chart.umd.js + * + * Do NOT use SRI with dynamically generated files! 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this.updateSharedOptions(n,e,i),{sharedOptions:n,includeOptions:o}}updateElement(t,e,i,s){Bs(s)?Object.assign(t,i):this._resolveAnimations(e,s).update(t,i)}updateSharedOptions(t,e,i){t&&!Bs(e)&&this._resolveAnimations(void 0,e).update(t,i)}_setStyle(t,e,i,s){t.active=s;const n=this.getStyle(e,s);this._resolveAnimations(e,i,s).update(t,{options:!s&&this.getSharedOptions(n)||n})}removeHoverStyle(t,e,i){this._setStyle(t,i,"active",!1)}setHoverStyle(t,e,i){this._setStyle(t,i,"active",!0)}_removeDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!1)}_setDatasetHoverStyle(){const t=this._cachedMeta.dataset;t&&this._setStyle(t,void 0,"active",!0)}_resyncElements(t){const e=this._data,i=this._cachedMeta.data;for(const[t,e,i]of this._syncList)this[t](e,i);this._syncList=[];const s=i.length,n=e.length,o=Math.min(n,s);o&&this.parse(0,o),n>s?this._insertElements(s,n-s,t):n{for(t.length+=e,a=t.length-1;a>=o;a--)t[a]=t[a-e]};for(r(n),a=t;a{s[t]=i[t]&&i[t].active()?i[t]._to:this[t]})),s}}function js(t,e){const i=t.options.ticks,n=function(t){const e=t.options.offset,i=t._tickSize(),s=t._length/i+(e?0:1),n=t._maxLength/i;return Math.floor(Math.min(s,n))}(t),o=Math.min(i.maxTicksLimit||n,n),a=i.major.enabled?function(t){const e=[];let i,s;for(i=0,s=t.length;io)return function(t,e,i,s){let n,o=0,a=i[0];for(s=Math.ceil(s),n=0;nn)return e}return Math.max(n,1)}(a,e,o);if(r>0){let t,i;const n=r>1?Math.round((h-l)/(r-1)):null;for($s(e,c,d,s(n)?0:l-n,l),t=0,i=r-1;t"top"===e||"left"===e?t[e]+i:t[e]-i,Us=(t,e)=>Math.min(e||t,t);function Xs(t,e){const i=[],s=t.length/e,n=t.length;let o=0;for(;oa+r)))return h}function Ks(t){return t.drawTicks?t.tickLength:0}function Gs(t,e){if(!t.display)return 0;const i=Si(t.font,e),s=ki(t.padding);return(n(t.text)?t.text.length:1)*i.lineHeight+s.height}function Zs(t,e,i){let s=ut(t);return(i&&"right"!==e||!i&&"right"===e)&&(s=(t=>"left"===t?"right":"right"===t?"left":t)(s)),s}class Js extends Hs{constructor(t){super(),this.id=t.id,this.type=t.type,this.options=void 0,this.ctx=t.ctx,this.chart=t.chart,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this._margins={left:0,right:0,top:0,bottom:0},this.maxWidth=void 0,this.maxHeight=void 0,this.paddingTop=void 0,this.paddingBottom=void 0,this.paddingLeft=void 0,this.paddingRight=void 0,this.axis=void 0,this.labelRotation=void 0,this.min=void 0,this.max=void 0,this._range=void 0,this.ticks=[],this._gridLineItems=null,this._labelItems=null,this._labelSizes=null,this._length=0,this._maxLength=0,this._longestTextCache={},this._startPixel=void 0,this._endPixel=void 0,this._reversePixels=!1,this._userMax=void 0,this._userMin=void 0,this._suggestedMax=void 0,this._suggestedMin=void 0,this._ticksLength=0,this._borderValue=0,this._cache={},this._dataLimitsCached=!1,this.$context=void 0}init(t){this.options=t.setContext(this.getContext()),this.axis=t.axis,this._userMin=this.parse(t.min),this._userMax=this.parse(t.max),this._suggestedMin=this.parse(t.suggestedMin),this._suggestedMax=this.parse(t.suggestedMax)}parse(t,e){return t}getUserBounds(){let{_userMin:t,_userMax:e,_suggestedMin:i,_suggestedMax:s}=this;return t=r(t,Number.POSITIVE_INFINITY),e=r(e,Number.NEGATIVE_INFINITY),i=r(i,Number.POSITIVE_INFINITY),s=r(s,Number.NEGATIVE_INFINITY),{min:r(t,i),max:r(e,s),minDefined:a(t),maxDefined:a(e)}}getMinMax(t){let e,{min:i,max:s,minDefined:n,maxDefined:o}=this.getUserBounds();if(n&&o)return{min:i,max:s};const a=this.getMatchingVisibleMetas();for(let r=0,l=a.length;rs?s:i,s=n&&i>s?i:s,{min:r(i,r(s,i)),max:r(s,r(i,s))}}getPadding(){return{left:this.paddingLeft||0,top:this.paddingTop||0,right:this.paddingRight||0,bottom:this.paddingBottom||0}}getTicks(){return this.ticks}getLabels(){const t=this.chart.data;return this.options.labels||(this.isHorizontal()?t.xLabels:t.yLabels)||t.labels||[]}getLabelItems(t=this.chart.chartArea){return this._labelItems||(this._labelItems=this._computeLabelItems(t))}beforeLayout(){this._cache={},this._dataLimitsCached=!1}beforeUpdate(){d(this.options.beforeUpdate,[this])}update(t,e,i){const{beginAtZero:s,grace:n,ticks:o}=this.options,a=o.sampleSize;this.beforeUpdate(),this.maxWidth=t,this.maxHeight=e,this._margins=i=Object.assign({left:0,right:0,top:0,bottom:0},i),this.ticks=null,this._labelSizes=null,this._gridLineItems=null,this._labelItems=null,this.beforeSetDimensions(),this.setDimensions(),this.afterSetDimensions(),this._maxLength=this.isHorizontal()?this.width+i.left+i.right:this.height+i.top+i.bottom,this._dataLimitsCached||(this.beforeDataLimits(),this.determineDataLimits(),this.afterDataLimits(),this._range=Di(this,n,s),this._dataLimitsCached=!0),this.beforeBuildTicks(),this.ticks=this.buildTicks()||[],this.afterBuildTicks();const r=a=n||i<=1||!this.isHorizontal())return void(this.labelRotation=s);const h=this._getLabelSizes(),c=h.widest.width,d=h.highest.height,u=J(this.chart.width-c,0,this.maxWidth);o=t.offset?this.maxWidth/i:u/(i-1),c+6>o&&(o=u/(i-(t.offset?.5:1)),a=this.maxHeight-Ks(t.grid)-e.padding-Gs(t.title,this.chart.options.font),r=Math.sqrt(c*c+d*d),l=Y(Math.min(Math.asin(J((h.highest.height+6)/o,-1,1)),Math.asin(J(a/r,-1,1))-Math.asin(J(d/r,-1,1)))),l=Math.max(s,Math.min(n,l))),this.labelRotation=l}afterCalculateLabelRotation(){d(this.options.afterCalculateLabelRotation,[this])}afterAutoSkip(){}beforeFit(){d(this.options.beforeFit,[this])}fit(){const t={width:0,height:0},{chart:e,options:{ticks:i,title:s,grid:n}}=this,o=this._isVisible(),a=this.isHorizontal();if(o){const o=Gs(s,e.options.font);if(a?(t.width=this.maxWidth,t.height=Ks(n)+o):(t.height=this.maxHeight,t.width=Ks(n)+o),i.display&&this.ticks.length){const{first:e,last:s,widest:n,highest:o}=this._getLabelSizes(),r=2*i.padding,l=$(this.labelRotation),h=Math.cos(l),c=Math.sin(l);if(a){const e=i.mirror?0:c*n.width+h*o.height;t.height=Math.min(this.maxHeight,t.height+e+r)}else{const e=i.mirror?0:h*n.width+c*o.height;t.width=Math.min(this.maxWidth,t.width+e+r)}this._calculatePadding(e,s,c,h)}}this._handleMargins(),a?(this.width=this._length=e.width-this._margins.left-this._margins.right,this.height=t.height):(this.width=t.width,this.height=this._length=e.height-this._margins.top-this._margins.bottom)}_calculatePadding(t,e,i,s){const{ticks:{align:n,padding:o},position:a}=this.options,r=0!==this.labelRotation,l="top"!==a&&"x"===this.axis;if(this.isHorizontal()){const a=this.getPixelForTick(0)-this.left,h=this.right-this.getPixelForTick(this.ticks.length-1);let c=0,d=0;r?l?(c=s*t.width,d=i*e.height):(c=i*t.height,d=s*e.width):"start"===n?d=e.width:"end"===n?c=t.width:"inner"!==n&&(c=t.width/2,d=e.width/2),this.paddingLeft=Math.max((c-a+o)*this.width/(this.width-a),0),this.paddingRight=Math.max((d-h+o)*this.width/(this.width-h),0)}else{let i=e.height/2,s=t.height/2;"start"===n?(i=0,s=t.height):"end"===n&&(i=e.height,s=0),this.paddingTop=i+o,this.paddingBottom=s+o}}_handleMargins(){this._margins&&(this._margins.left=Math.max(this.paddingLeft,this._margins.left),this._margins.top=Math.max(this.paddingTop,this._margins.top),this._margins.right=Math.max(this.paddingRight,this._margins.right),this._margins.bottom=Math.max(this.paddingBottom,this._margins.bottom))}afterFit(){d(this.options.afterFit,[this])}isHorizontal(){const{axis:t,position:e}=this.options;return"top"===e||"bottom"===e||"x"===t}isFullSize(){return this.options.fullSize}_convertTicksToLabels(t){let e,i;for(this.beforeTickToLabelConversion(),this.generateTickLabels(t),e=0,i=t.length;e{const i=t.gc,s=i.length/2;let n;if(s>e){for(n=0;n({width:r[t]||0,height:l[t]||0});return{first:P(0),last:P(e-1),widest:P(k),highest:P(S),widths:r,heights:l}}getLabelForValue(t){return t}getPixelForValue(t,e){return NaN}getValueForPixel(t){}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getPixelForDecimal(t){this._reversePixels&&(t=1-t);const e=this._startPixel+t*this._length;return Q(this._alignToPixels?Ae(this.chart,e,0):e)}getDecimalForPixel(t){const e=(t-this._startPixel)/this._length;return this._reversePixels?1-e:e}getBasePixel(){return this.getPixelForValue(this.getBaseValue())}getBaseValue(){const{min:t,max:e}=this;return t<0&&e<0?e:t>0&&e>0?t:0}getContext(t){const e=this.ticks||[];if(t>=0&&ta*s?a/i:r/s:r*s0}_computeGridLineItems(t){const e=this.axis,i=this.chart,s=this.options,{grid:n,position:a,border:r}=s,h=n.offset,c=this.isHorizontal(),d=this.ticks.length+(h?1:0),u=Ks(n),f=[],g=r.setContext(this.getContext()),p=g.display?g.width:0,m=p/2,b=function(t){return Ae(i,t,p)};let x,_,y,v,M,w,k,S,P,D,C,O;if("top"===a)x=b(this.bottom),w=this.bottom-u,S=x-m,D=b(t.top)+m,O=t.bottom;else if("bottom"===a)x=b(this.top),D=t.top,O=b(t.bottom)-m,w=x+m,S=this.top+u;else if("left"===a)x=b(this.right),M=this.right-u,k=x-m,P=b(t.left)+m,C=t.right;else if("right"===a)x=b(this.left),P=t.left,C=b(t.right)-m,M=x+m,k=this.left+u;else if("x"===e){if("center"===a)x=b((t.top+t.bottom)/2+.5);else if(o(a)){const t=Object.keys(a)[0],e=a[t];x=b(this.chart.scales[t].getPixelForValue(e))}D=t.top,O=t.bottom,w=x+m,S=w+u}else if("y"===e){if("center"===a)x=b((t.left+t.right)/2);else if(o(a)){const t=Object.keys(a)[0],e=a[t];x=b(this.chart.scales[t].getPixelForValue(e))}M=x-m,k=M-u,P=t.left,C=t.right}const A=l(s.ticks.maxTicksLimit,d),T=Math.max(1,Math.ceil(d/A));for(_=0;_0&&(o-=s/2)}d={left:o,top:n,width:s+e.width,height:i+e.height,color:t.backdropColor}}b.push({label:v,font:P,textOffset:O,options:{rotation:m,color:i,strokeColor:o,strokeWidth:h,textAlign:f,textBaseline:A,translation:[M,w],backdrop:d}})}return b}_getXAxisLabelAlignment(){const{position:t,ticks:e}=this.options;if(-$(this.labelRotation))return"top"===t?"left":"right";let i="center";return"start"===e.align?i="left":"end"===e.align?i="right":"inner"===e.align&&(i="inner"),i}_getYAxisLabelAlignment(t){const{position:e,ticks:{crossAlign:i,mirror:s,padding:n}}=this.options,o=t+n,a=this._getLabelSizes().widest.width;let r,l;return"left"===e?s?(l=this.right+n,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l+=a)):(l=this.right-o,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l=this.left)):"right"===e?s?(l=this.left+n,"near"===i?r="right":"center"===i?(r="center",l-=a/2):(r="left",l-=a)):(l=this.left+o,"near"===i?r="left":"center"===i?(r="center",l+=a/2):(r="right",l=this.right)):r="right",{textAlign:r,x:l}}_computeLabelArea(){if(this.options.ticks.mirror)return;const t=this.chart,e=this.options.position;return"left"===e||"right"===e?{top:0,left:this.left,bottom:t.height,right:this.right}:"top"===e||"bottom"===e?{top:this.top,left:0,bottom:this.bottom,right:t.width}:void 0}drawBackground(){const{ctx:t,options:{backgroundColor:e},left:i,top:s,width:n,height:o}=this;e&&(t.save(),t.fillStyle=e,t.fillRect(i,s,n,o),t.restore())}getLineWidthForValue(t){const e=this.options.grid;if(!this._isVisible()||!e.display)return 0;const i=this.ticks.findIndex((e=>e.value===t));if(i>=0){return e.setContext(this.getContext(i)).lineWidth}return 0}drawGrid(t){const e=this.options.grid,i=this.ctx,s=this._gridLineItems||(this._gridLineItems=this._computeGridLineItems(t));let n,o;const a=(t,e,s)=>{s.width&&s.color&&(i.save(),i.lineWidth=s.width,i.strokeStyle=s.color,i.setLineDash(s.borderDash||[]),i.lineDashOffset=s.borderDashOffset,i.beginPath(),i.moveTo(t.x,t.y),i.lineTo(e.x,e.y),i.stroke(),i.restore())};if(e.display)for(n=0,o=s.length;n{this.drawBackground(),this.drawGrid(t),this.drawTitle()}},{z:s,draw:()=>{this.drawBorder()}},{z:e,draw:t=>{this.drawLabels(t)}}]:[{z:e,draw:t=>{this.draw(t)}}]}getMatchingVisibleMetas(t){const e=this.chart.getSortedVisibleDatasetMetas(),i=this.axis+"AxisID",s=[];let n,o;for(n=0,o=e.length;n{const s=i.split("."),n=s.pop(),o=[t].concat(s).join("."),a=e[i].split("."),r=a.pop(),l=a.join(".");ue.route(o,n,l,r)}))}(e,t.defaultRoutes);t.descriptors&&ue.describe(e,t.descriptors)}(t,o,i),this.override&&ue.override(t.id,t.overrides)),o}get(t){return this.items[t]}unregister(t){const e=this.items,i=t.id,s=this.scope;i in e&&delete e[i],s&&i in ue[s]&&(delete ue[s][i],this.override&&delete re[i])}}class tn{constructor(){this.controllers=new Qs(Ns,"datasets",!0),this.elements=new Qs(Hs,"elements"),this.plugins=new Qs(Object,"plugins"),this.scales=new Qs(Js,"scales"),this._typedRegistries=[this.controllers,this.scales,this.elements]}add(...t){this._each("register",t)}remove(...t){this._each("unregister",t)}addControllers(...t){this._each("register",t,this.controllers)}addElements(...t){this._each("register",t,this.elements)}addPlugins(...t){this._each("register",t,this.plugins)}addScales(...t){this._each("register",t,this.scales)}getController(t){return this._get(t,this.controllers,"controller")}getElement(t){return this._get(t,this.elements,"element")}getPlugin(t){return this._get(t,this.plugins,"plugin")}getScale(t){return this._get(t,this.scales,"scale")}removeControllers(...t){this._each("unregister",t,this.controllers)}removeElements(...t){this._each("unregister",t,this.elements)}removePlugins(...t){this._each("unregister",t,this.plugins)}removeScales(...t){this._each("unregister",t,this.scales)}_each(t,e,i){[...e].forEach((e=>{const s=i||this._getRegistryForType(e);i||s.isForType(e)||s===this.plugins&&e.id?this._exec(t,s,e):u(e,(e=>{const s=i||this._getRegistryForType(e);this._exec(t,s,e)}))}))}_exec(t,e,i){const s=w(t);d(i["before"+s],[],i),e[t](i),d(i["after"+s],[],i)}_getRegistryForType(t){for(let e=0;et.filter((t=>!e.some((e=>t.plugin.id===e.plugin.id))));this._notify(s(e,i),t,"stop"),this._notify(s(i,e),t,"start")}}function nn(t,e){return e||!1!==t?!0===t?{}:t:null}function on(t,{plugin:e,local:i},s,n){const o=t.pluginScopeKeys(e),a=t.getOptionScopes(s,o);return i&&e.defaults&&a.push(e.defaults),t.createResolver(a,n,[""],{scriptable:!1,indexable:!1,allKeys:!0})}function an(t,e){const i=ue.datasets[t]||{};return((e.datasets||{})[t]||{}).indexAxis||e.indexAxis||i.indexAxis||"x"}function rn(t){if("x"===t||"y"===t||"r"===t)return t}function ln(t,...e){if(rn(t))return t;for(const s of e){const e=s.axis||("top"===(i=s.position)||"bottom"===i?"x":"left"===i||"right"===i?"y":void 0)||t.length>1&&rn(t[0].toLowerCase());if(e)return e}var i;throw new Error(`Cannot determine type of '${t}' axis. 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i=this._options=e.createResolver(e.chartOptionScopes(),this.getContext()),s=this._animationsDisabled=!i.animation;if(this._updateScales(),this._checkEventBindings(),this._updateHiddenIndices(),this._plugins.invalidate(),!1===this.notifyPlugins("beforeUpdate",{mode:t,cancelable:!0}))return;const n=this.buildOrUpdateControllers();this.notifyPlugins("beforeElementsUpdate");let o=0;for(let t=0,e=this.data.datasets.length;t{t.reset()})),this._updateDatasets(t),this.notifyPlugins("afterUpdate",{mode:t}),this._layers.sort(Mn("z","_idx"));const{_active:a,_lastEvent:r}=this;r?this._eventHandler(r,!0):a.length&&this._updateHoverStyles(a,a,!0),this.render()}_updateScales(){u(this.scales,(t=>{as.removeBox(this,t)})),this.ensureScalesHaveIDs(),this.buildOrUpdateScales()}_checkEventBindings(){const t=this.options,e=new Set(Object.keys(this._listeners)),i=new Set(t.events);P(e,i)&&!!this._responsiveListeners===t.responsive||(this.unbindEvents(),this.bindEvents())}_updateHiddenIndices(){const{_hiddenIndices:t}=this,e=this._getUniformDataChanges()||[];for(const{method:i,start:s,count:n}of e){Cn(t,s,"_removeElements"===i?-n:n)}}_getUniformDataChanges(){const t=this._dataChanges;if(!t||!t.length)return;this._dataChanges=[];const e=this.data.datasets.length,i=e=>new Set(t.filter((t=>t[0]===e)).map(((t,e)=>e+","+t.splice(1).join(",")))),s=i(0);for(let t=1;tt.split(","))).map((t=>({method:t[1],start:+t[2],count:+t[3]})))}_updateLayout(t){if(!1===this.notifyPlugins("beforeLayout",{cancelable:!0}))return;as.update(this,this.width,this.height,t);const e=this.chartArea,i=e.width<=0||e.height<=0;this._layers=[],u(this.boxes,(t=>{i&&"chartArea"===t.position||(t.configure&&t.configure(),this._layers.push(...t._layers()))}),this),this._layers.forEach(((t,e)=>{t._idx=e})),this.notifyPlugins("afterLayout")}_updateDatasets(t){if(!1!==this.notifyPlugins("beforeDatasetsUpdate",{mode:t,cancelable:!0})){for(let t=0,e=this.data.datasets.length;t=0;--e)this._drawDataset(t[e]);this.notifyPlugins("afterDatasetsDraw")}_drawDataset(t){const e=this.ctx,i=t._clip,s=!i.disabled,n=function(t,e){const{xScale:i,yScale:s}=t;return i&&s?{left:On(i,e,"left"),right:On(i,e,"right"),top:On(s,e,"top"),bottom:On(s,e,"bottom")}:e}(t,this.chartArea),o={meta:t,index:t.index,cancelable:!0};!1!==this.notifyPlugins("beforeDatasetDraw",o)&&(s&&Ie(e,{left:!1===i.left?0:n.left-i.left,right:!1===i.right?this.width:n.right+i.right,top:!1===i.top?0:n.top-i.top,bottom:!1===i.bottom?this.height:n.bottom+i.bottom}),t.controller.draw(),s&&ze(e),o.cancelable=!1,this.notifyPlugins("afterDatasetDraw",o))}isPointInArea(t){return Re(t,this.chartArea,this._minPadding)}getElementsAtEventForMode(t,e,i,s){const n=Xi.modes[e];return"function"==typeof n?n(this,t,i,s):[]}getDatasetMeta(t){const e=this.data.datasets[t],i=this._metasets;let s=i.filter((t=>t&&t._dataset===e)).pop();return s||(s={type:null,data:[],dataset:null,controller:null,hidden:null,xAxisID:null,yAxisID:null,order:e&&e.order||0,index:t,_dataset:e,_parsed:[],_sorted:!1},i.push(s)),s}getContext(){return this.$context||(this.$context=Ci(null,{chart:this,type:"chart"}))}getVisibleDatasetCount(){return this.getSortedVisibleDatasetMetas().length}isDatasetVisible(t){const e=this.data.datasets[t];if(!e)return!1;const i=this.getDatasetMeta(t);return"boolean"==typeof i.hidden?!i.hidden:!e.hidden}setDatasetVisibility(t,e){this.getDatasetMeta(t).hidden=!e}toggleDataVisibility(t){this._hiddenIndices[t]=!this._hiddenIndices[t]}getDataVisibility(t){return!this._hiddenIndices[t]}_updateVisibility(t,e,i){const s=i?"show":"hide",n=this.getDatasetMeta(t),o=n.controller._resolveAnimations(void 0,s);k(e)?(n.data[e].hidden=!i,this.update()):(this.setDatasetVisibility(t,i),o.update(n,{visible:i}),this.update((e=>e.datasetIndex===t?s:void 0)))}hide(t,e){this._updateVisibility(t,e,!1)}show(t,e){this._updateVisibility(t,e,!0)}_destroyDatasetMeta(t){const e=this._metasets[t];e&&e.controller&&e.controller._destroy(),delete this._metasets[t]}_stop(){let t,e;for(this.stop(),xt.remove(this),t=0,e=this.data.datasets.length;t{e.addEventListener(this,i,s),t[i]=s},s=(t,e,i)=>{t.offsetX=e,t.offsetY=i,this._eventHandler(t)};u(this.options.events,(t=>i(t,s)))}bindResponsiveEvents(){this._responsiveListeners||(this._responsiveListeners={});const t=this._responsiveListeners,e=this.platform,i=(i,s)=>{e.addEventListener(this,i,s),t[i]=s},s=(i,s)=>{t[i]&&(e.removeEventListener(this,i,s),delete t[i])},n=(t,e)=>{this.canvas&&this.resize(t,e)};let o;const a=()=>{s("attach",a),this.attached=!0,this.resize(),i("resize",n),i("detach",o)};o=()=>{this.attached=!1,s("resize",n),this._stop(),this._resize(0,0),i("attach",a)},e.isAttached(this.canvas)?a():o()}unbindEvents(){u(this._listeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._listeners={},u(this._responsiveListeners,((t,e)=>{this.platform.removeEventListener(this,e,t)})),this._responsiveListeners=void 0}updateHoverStyle(t,e,i){const s=i?"set":"remove";let n,o,a,r;for("dataset"===e&&(n=this.getDatasetMeta(t[0].datasetIndex),n.controller["_"+s+"DatasetHoverStyle"]()),a=0,r=t.length;a{const i=this.getDatasetMeta(t);if(!i)throw new Error("No dataset found at index "+t);return{datasetIndex:t,element:i.data[e],index:e}}));!f(i,e)&&(this._active=i,this._lastEvent=null,this._updateHoverStyles(i,e))}notifyPlugins(t,e,i){return this._plugins.notify(this,t,e,i)}isPluginEnabled(t){return 1===this._plugins._cache.filter((e=>e.plugin.id===t)).length}_updateHoverStyles(t,e,i){const s=this.options.hover,n=(t,e)=>t.filter((t=>!e.some((e=>t.datasetIndex===e.datasetIndex&&t.index===e.index)))),o=n(e,t),a=i?t:n(t,e);o.length&&this.updateHoverStyle(o,s.mode,!1),a.length&&s.mode&&this.updateHoverStyle(a,s.mode,!0)}_eventHandler(t,e){const i={event:t,replay:e,cancelable:!0,inChartArea:this.isPointInArea(t)},s=e=>(e.options.events||this.options.events).includes(t.native.type);if(!1===this.notifyPlugins("beforeEvent",i,s))return;const n=this._handleEvent(t,e,i.inChartArea);return i.cancelable=!1,this.notifyPlugins("afterEvent",i,s),(n||i.changed)&&this.render(),this}_handleEvent(t,e,i){const{_active:s=[],options:n}=this,o=e,a=this._getActiveElements(t,s,i,o),r=D(t),l=function(t,e,i,s){return i&&"mouseout"!==t.type?s?e:t:null}(t,this._lastEvent,i,r);i&&(this._lastEvent=null,d(n.onHover,[t,a,this],this),r&&d(n.onClick,[t,a,this],this));const h=!f(a,s);return(h||e)&&(this._active=a,this._updateHoverStyles(a,s,e)),this._lastEvent=l,h}_getActiveElements(t,e,i,s){if("mouseout"===t.type)return[];if(!i)return e;const n=this.options.hover;return this.getElementsAtEventForMode(t,n.mode,n,s)}}function Tn(){return u(An.instances,(t=>t._plugins.invalidate()))}function Ln(){throw new Error("This method is not implemented: Check that a complete date adapter is provided.")}class En{static override(t){Object.assign(En.prototype,t)}options;constructor(t){this.options=t||{}}init(){}formats(){return Ln()}parse(){return Ln()}format(){return Ln()}add(){return Ln()}diff(){return Ln()}startOf(){return Ln()}endOf(){return Ln()}}var Rn={_date:En};function In(t){const e=t.iScale,i=function(t,e){if(!t._cache.$bar){const i=t.getMatchingVisibleMetas(e);let s=[];for(let e=0,n=i.length;et-e)))}return t._cache.$bar}(e,t.type);let s,n,o,a,r=e._length;const l=()=>{32767!==o&&-32768!==o&&(k(a)&&(r=Math.min(r,Math.abs(o-a)||r)),a=o)};for(s=0,n=i.length;sMath.abs(r)&&(l=r,h=a),e[i.axis]=h,e._custom={barStart:l,barEnd:h,start:n,end:o,min:a,max:r}}(t,e,i,s):e[i.axis]=i.parse(t,s),e}function Fn(t,e,i,s){const n=t.iScale,o=t.vScale,a=n.getLabels(),r=n===o,l=[];let h,c,d,u;for(h=i,c=i+s;ht.x,i="left",s="right"):(e=t.base"spacing"!==t,_indexable:t=>"spacing"!==t&&!t.startsWith("borderDash")&&!t.startsWith("hoverBorderDash")};static overrides={aspectRatio:1,plugins:{legend:{labels:{generateLabels(t){const e=t.data;if(e.labels.length&&e.datasets.length){const{labels:{pointStyle:i,color:s}}=t.legend.options;return e.labels.map(((e,n)=>{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}}};constructor(t,e){super(t,e),this.enableOptionSharing=!0,this.innerRadius=void 0,this.outerRadius=void 0,this.offsetX=void 0,this.offsetY=void 0}linkScales(){}parse(t,e){const i=this.getDataset().data,s=this._cachedMeta;if(!1===this._parsing)s._parsed=i;else{let n,a,r=t=>+i[t];if(o(i[t])){const{key:t="value"}=this._parsing;r=e=>+M(i[e],t)}for(n=t,a=t+e;nZ(t,r,l,!0)?1:Math.max(e,e*i,s,s*i),g=(t,e,s)=>Z(t,r,l,!0)?-1:Math.min(e,e*i,s,s*i),p=f(0,h,d),m=f(E,c,u),b=g(C,h,d),x=g(C+E,c,u);s=(p-b)/2,n=(m-x)/2,o=-(p+b)/2,a=-(m+x)/2}return{ratioX:s,ratioY:n,offsetX:o,offsetY:a}}(u,d,r),b=(i.width-o)/f,x=(i.height-o)/g,_=Math.max(Math.min(b,x)/2,0),y=c(this.options.radius,_),v=(y-Math.max(y*r,0))/this._getVisibleDatasetWeightTotal();this.offsetX=p*y,this.offsetY=m*y,s.total=this.calculateTotal(),this.outerRadius=y-v*this._getRingWeightOffset(this.index),this.innerRadius=Math.max(this.outerRadius-v*l,0),this.updateElements(n,0,n.length,t)}_circumference(t,e){const i=this.options,s=this._cachedMeta,n=this._getCircumference();return e&&i.animation.animateRotate||!this.chart.getDataVisibility(t)||null===s._parsed[t]||s.data[t].hidden?0:this.calculateCircumference(s._parsed[t]*n/O)}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.chartArea,r=o.options.animation,l=(a.left+a.right)/2,h=(a.top+a.bottom)/2,c=n&&r.animateScale,d=c?0:this.innerRadius,u=c?0:this.outerRadius,{sharedOptions:f,includeOptions:g}=this._getSharedOptions(e,s);let p,m=this._getRotation();for(p=0;p0&&!isNaN(t)?O*(Math.abs(t)/e):0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t],i.options.locale);return{label:s[t]||"",value:n}}getMaxBorderWidth(t){let e=0;const i=this.chart;let s,n,o,a,r;if(!t)for(s=0,n=i.data.datasets.length;s{const o=t.getDatasetMeta(0).controller.getStyle(n);return{text:e,fillStyle:o.backgroundColor,strokeStyle:o.borderColor,fontColor:s,lineWidth:o.borderWidth,pointStyle:i,hidden:!t.getDataVisibility(n),index:n}}))}return[]}},onClick(t,e,i){i.chart.toggleDataVisibility(e.index),i.chart.update()}}},scales:{r:{type:"radialLinear",angleLines:{display:!1},beginAtZero:!0,grid:{circular:!0},pointLabels:{display:!1},startAngle:0}}};constructor(t,e){super(t,e),this.innerRadius=void 0,this.outerRadius=void 0}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart,s=i.data.labels||[],n=ne(e._parsed[t].r,i.options.locale);return{label:s[t]||"",value:n}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta.data;this._updateRadius(),this.updateElements(e,0,e.length,t)}getMinMax(){const t=this._cachedMeta,e={min:Number.POSITIVE_INFINITY,max:Number.NEGATIVE_INFINITY};return t.data.forEach(((t,i)=>{const s=this.getParsed(i).r;!isNaN(s)&&this.chart.getDataVisibility(i)&&(se.max&&(e.max=s))})),e}_updateRadius(){const t=this.chart,e=t.chartArea,i=t.options,s=Math.min(e.right-e.left,e.bottom-e.top),n=Math.max(s/2,0),o=(n-Math.max(i.cutoutPercentage?n/100*i.cutoutPercentage:1,0))/t.getVisibleDatasetCount();this.outerRadius=n-o*this.index,this.innerRadius=this.outerRadius-o}updateElements(t,e,i,s){const n="reset"===s,o=this.chart,a=o.options.animation,r=this._cachedMeta.rScale,l=r.xCenter,h=r.yCenter,c=r.getIndexAngle(0)-.5*C;let d,u=c;const f=360/this.countVisibleElements();for(d=0;d{!isNaN(this.getParsed(i).r)&&this.chart.getDataVisibility(i)&&e++})),e}_computeAngle(t,e,i){return this.chart.getDataVisibility(t)?$(this.resolveDataElementOptions(t,e).angle||i):0}}var Yn=Object.freeze({__proto__:null,BarController:class extends Ns{static id="bar";static defaults={datasetElementType:!1,dataElementType:"bar",categoryPercentage:.8,barPercentage:.9,grouped:!0,animations:{numbers:{type:"number",properties:["x","y","base","width","height"]}}};static overrides={scales:{_index_:{type:"category",offset:!0,grid:{offset:!0}},_value_:{type:"linear",beginAtZero:!0}}};parsePrimitiveData(t,e,i,s){return Fn(t,e,i,s)}parseArrayData(t,e,i,s){return Fn(t,e,i,s)}parseObjectData(t,e,i,s){const{iScale:n,vScale:o}=t,{xAxisKey:a="x",yAxisKey:r="y"}=this._parsing,l="x"===n.axis?a:r,h="x"===o.axis?a:r,c=[];let d,u,f,g;for(d=i,u=i+s;dt.controller.options.grouped)),o=i.options.stacked,a=[],r=this._cachedMeta.controller.getParsed(e),l=r&&r[i.axis],h=t=>{const e=t._parsed.find((t=>t[i.axis]===l)),n=e&&e[t.vScale.axis];if(s(n)||isNaN(n))return!0};for(const i of n)if((void 0===e||!h(i))&&((!1===o||-1===a.indexOf(i.stack)||void 0===o&&void 0===i.stack)&&a.push(i.stack),i.index===t))break;return a.length||a.push(void 0),a}_getStackCount(t){return this._getStacks(void 0,t).length}_getStackIndex(t,e,i){const s=this._getStacks(t,i),n=void 0!==e?s.indexOf(e):-1;return-1===n?s.length-1:n}_getRuler(){const t=this.options,e=this._cachedMeta,i=e.iScale,s=[];let n,o;for(n=0,o=e.data.length;n=i?1:-1)}(u,e,r)*a,f===r&&(b-=u/2);const t=e.getPixelForDecimal(0),s=e.getPixelForDecimal(1),o=Math.min(t,s),h=Math.max(t,s);b=Math.max(Math.min(b,h),o),d=b+u,i&&!c&&(l._stacks[e.axis]._visualValues[n]=e.getValueForPixel(d)-e.getValueForPixel(b))}if(b===e.getPixelForValue(r)){const t=F(u)*e.getLineWidthForValue(r)/2;b+=t,u-=t}return{size:u,base:b,head:d,center:d+u/2}}_calculateBarIndexPixels(t,e){const i=e.scale,n=this.options,o=n.skipNull,a=l(n.maxBarThickness,1/0);let r,h;if(e.grouped){const i=o?this._getStackCount(t):e.stackCount,l="flex"===n.barThickness?function(t,e,i,s){const n=e.pixels,o=n[t];let a=t>0?n[t-1]:null,r=t=0;--i)e=Math.max(e,t[i].size(this.resolveDataElementOptions(i))/2);return e>0&&e}getLabelAndValue(t){const e=this._cachedMeta,i=this.chart.data.labels||[],{xScale:s,yScale:n}=e,o=this.getParsed(t),a=s.getLabelForValue(o.x),r=n.getLabelForValue(o.y),l=o._custom;return{label:i[t]||"",value:"("+a+", "+r+(l?", "+l:"")+")"}}update(t){const e=this._cachedMeta.data;this.updateElements(e,0,e.length,t)}updateElements(t,e,i,s){const n="reset"===s,{iScale:o,vScale:a}=this._cachedMeta,{sharedOptions:r,includeOptions:l}=this._getSharedOptions(e,s),h=o.axis,c=a.axis;for(let d=e;d0&&this.getParsed(e-1);for(let i=0;i<_;++i){const g=t[i],_=b?g:{};if(i=x){_.skip=!0;continue}const v=this.getParsed(i),M=s(v[f]),w=_[u]=a.getPixelForValue(v[u],i),k=_[f]=o||M?r.getBasePixel():r.getPixelForValue(l?this.applyStack(r,v,l):v[f],i);_.skip=isNaN(w)||isNaN(k)||M,_.stop=i>0&&Math.abs(v[u]-y[u])>m,p&&(_.parsed=v,_.raw=h.data[i]),d&&(_.options=c||this.resolveDataElementOptions(i,g.active?"active":n)),b||this.updateElement(g,i,_,n),y=v}}getMaxOverflow(){const t=this._cachedMeta,e=t.dataset,i=e.options&&e.options.borderWidth||0,s=t.data||[];if(!s.length)return i;const n=s[0].size(this.resolveDataElementOptions(0)),o=s[s.length-1].size(this.resolveDataElementOptions(s.length-1));return Math.max(i,n,o)/2}draw(){const t=this._cachedMeta;t.dataset.updateControlPoints(this.chart.chartArea,t.iScale.axis),super.draw()}},PieController:class extends jn{static id="pie";static defaults={cutout:0,rotation:0,circumference:360,radius:"100%"}},PolarAreaController:$n,RadarController:class extends Ns{static id="radar";static defaults={datasetElementType:"line",dataElementType:"point",indexAxis:"r",showLine:!0,elements:{line:{fill:"start"}}};static overrides={aspectRatio:1,scales:{r:{type:"radialLinear"}}};getLabelAndValue(t){const e=this._cachedMeta.vScale,i=this.getParsed(t);return{label:e.getLabels()[t],value:""+e.getLabelForValue(i[e.axis])}}parseObjectData(t,e,i,s){return ii.bind(this)(t,e,i,s)}update(t){const e=this._cachedMeta,i=e.dataset,s=e.data||[],n=e.iScale.getLabels();if(i.points=s,"resize"!==t){const e=this.resolveDatasetElementOptions(t);this.options.showLine||(e.borderWidth=0);const o={_loop:!0,_fullLoop:n.length===s.length,options:e};this.updateElement(i,void 0,o,t)}this.updateElements(s,0,s.length,t)}updateElements(t,e,i,s){const n=this._cachedMeta.rScale,o="reset"===s;for(let a=e;a0&&this.getParsed(e-1);for(let c=e;c0&&Math.abs(i[f]-_[f])>b,m&&(p.parsed=i,p.raw=h.data[c]),u&&(p.options=d||this.resolveDataElementOptions(c,e.active?"active":n)),x||this.updateElement(e,c,p,n),_=i}this.updateSharedOptions(d,n,c)}getMaxOverflow(){const t=this._cachedMeta,e=t.data||[];if(!this.options.showLine){let t=0;for(let i=e.length-1;i>=0;--i)t=Math.max(t,e[i].size(this.resolveDataElementOptions(i))/2);return t>0&&t}const i=t.dataset,s=i.options&&i.options.borderWidth||0;if(!e.length)return s;const n=e[0].size(this.resolveDataElementOptions(0)),o=e[e.length-1].size(this.resolveDataElementOptions(e.length-1));return Math.max(s,n,o)/2}}});function Un(t,e,i,s){const n=vi(t.options.borderRadius,["outerStart","outerEnd","innerStart","innerEnd"]);const o=(i-e)/2,a=Math.min(o,s*e/2),r=t=>{const e=(i-Math.min(o,t))*s/2;return J(t,0,Math.min(o,e))};return{outerStart:r(n.outerStart),outerEnd:r(n.outerEnd),innerStart:J(n.innerStart,0,a),innerEnd:J(n.innerEnd,0,a)}}function Xn(t,e,i,s){return{x:i+t*Math.cos(e),y:s+t*Math.sin(e)}}function qn(t,e,i,s,n,o){const{x:a,y:r,startAngle:l,pixelMargin:h,innerRadius:c}=e,d=Math.max(e.outerRadius+s+i-h,0),u=c>0?c+s+i+h:0;let f=0;const g=n-l;if(s){const t=((c>0?c-s:0)+(d>0?d-s:0))/2;f=(g-(0!==t?g*t/(t+s):g))/2}const p=(g-Math.max(.001,g*d-i/C)/d)/2,m=l+p+f,b=n-p-f,{outerStart:x,outerEnd:_,innerStart:y,innerEnd:v}=Un(e,u,d,b-m),M=d-x,w=d-_,k=m+x/M,S=b-_/w,P=u+y,D=u+v,O=m+y/P,A=b-v/D;if(t.beginPath(),o){const e=(k+S)/2;if(t.arc(a,r,d,k,e),t.arc(a,r,d,e,S),_>0){const e=Xn(w,S,a,r);t.arc(e.x,e.y,_,S,b+E)}const i=Xn(D,b,a,r);if(t.lineTo(i.x,i.y),v>0){const e=Xn(D,A,a,r);t.arc(e.x,e.y,v,b+E,A+Math.PI)}const s=(b-v/u+(m+y/u))/2;if(t.arc(a,r,u,b-v/u,s,!0),t.arc(a,r,u,s,m+y/u,!0),y>0){const e=Xn(P,O,a,r);t.arc(e.x,e.y,y,O+Math.PI,m-E)}const n=Xn(M,m,a,r);if(t.lineTo(n.x,n.y),x>0){const e=Xn(M,k,a,r);t.arc(e.x,e.y,x,m-E,k)}}else{t.moveTo(a,r);const e=Math.cos(k)*d+a,i=Math.sin(k)*d+r;t.lineTo(e,i);const s=Math.cos(S)*d+a,n=Math.sin(S)*d+r;t.lineTo(s,n)}t.closePath()}function Kn(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r,options:l}=e,{borderWidth:h,borderJoinStyle:c,borderDash:d,borderDashOffset:u}=l,f="inner"===l.borderAlign;if(!h)return;t.setLineDash(d||[]),t.lineDashOffset=u,f?(t.lineWidth=2*h,t.lineJoin=c||"round"):(t.lineWidth=h,t.lineJoin=c||"bevel");let g=e.endAngle;if(o){qn(t,e,i,s,g,n);for(let e=0;en?(h=n/l,t.arc(o,a,l,i+h,s-h,!0)):t.arc(o,a,n,i+E,s-E),t.closePath(),t.clip()}(t,e,g),o||(qn(t,e,i,s,g,n),t.stroke())}function Gn(t,e,i=e){t.lineCap=l(i.borderCapStyle,e.borderCapStyle),t.setLineDash(l(i.borderDash,e.borderDash)),t.lineDashOffset=l(i.borderDashOffset,e.borderDashOffset),t.lineJoin=l(i.borderJoinStyle,e.borderJoinStyle),t.lineWidth=l(i.borderWidth,e.borderWidth),t.strokeStyle=l(i.borderColor,e.borderColor)}function Zn(t,e,i){t.lineTo(i.x,i.y)}function Jn(t,e,i={}){const s=t.length,{start:n=0,end:o=s-1}=i,{start:a,end:r}=e,l=Math.max(n,a),h=Math.min(o,r),c=nr&&o>r;return{count:s,start:l,loop:e.loop,ilen:h(a+(h?r-t:t))%o,_=()=>{f!==g&&(t.lineTo(m,g),t.lineTo(m,f),t.lineTo(m,p))};for(l&&(d=n[x(0)],t.moveTo(d.x,d.y)),c=0;c<=r;++c){if(d=n[x(c)],d.skip)continue;const e=d.x,i=d.y,s=0|e;s===u?(ig&&(g=i),m=(b*m+e)/++b):(_(),t.lineTo(e,i),u=s,b=0,f=g=i),p=i}_()}function eo(t){const e=t.options,i=e.borderDash&&e.borderDash.length;return!(t._decimated||t._loop||e.tension||"monotone"===e.cubicInterpolationMode||e.stepped||i)?to:Qn}const io="function"==typeof Path2D;function so(t,e,i,s){io&&!e.options.segment?function(t,e,i,s){let n=e._path;n||(n=e._path=new Path2D,e.path(n,i,s)&&n.closePath()),Gn(t,e.options),t.stroke(n)}(t,e,i,s):function(t,e,i,s){const{segments:n,options:o}=e,a=eo(e);for(const r of n)Gn(t,o,r.style),t.beginPath(),a(t,e,r,{start:i,end:i+s-1})&&t.closePath(),t.stroke()}(t,e,i,s)}class no extends Hs{static id="line";static defaults={borderCapStyle:"butt",borderDash:[],borderDashOffset:0,borderJoinStyle:"miter",borderWidth:3,capBezierPoints:!0,cubicInterpolationMode:"default",fill:!1,spanGaps:!1,stepped:!1,tension:0};static defaultRoutes={backgroundColor:"backgroundColor",borderColor:"borderColor"};static descriptors={_scriptable:!0,_indexable:t=>"borderDash"!==t&&"fill"!==t};constructor(t){super(),this.animated=!0,this.options=void 0,this._chart=void 0,this._loop=void 0,this._fullLoop=void 0,this._path=void 0,this._points=void 0,this._segments=void 0,this._decimated=!1,this._pointsUpdated=!1,this._datasetIndex=void 0,t&&Object.assign(this,t)}updateControlPoints(t,e){const i=this.options;if((i.tension||"monotone"===i.cubicInterpolationMode)&&!i.stepped&&!this._pointsUpdated){const s=i.spanGaps?this._loop:this._fullLoop;hi(this._points,i,t,s,e),this._pointsUpdated=!0}}set points(t){this._points=t,delete this._segments,delete this._path,this._pointsUpdated=!1}get points(){return this._points}get segments(){return this._segments||(this._segments=zi(this,this.options.segment))}first(){const t=this.segments,e=this.points;return t.length&&e[t[0].start]}last(){const t=this.segments,e=this.points,i=t.length;return i&&e[t[i-1].end]}interpolate(t,e){const i=this.options,s=t[e],n=this.points,o=Ii(this,{property:e,start:s,end:s});if(!o.length)return;const a=[],r=function(t){return t.stepped?pi:t.tension||"monotone"===t.cubicInterpolationMode?mi:gi}(i);let l,h;for(l=0,h=o.length;l"borderDash"!==t};circumference;endAngle;fullCircles;innerRadius;outerRadius;pixelMargin;startAngle;constructor(t){super(),this.options=void 0,this.circumference=void 0,this.startAngle=void 0,this.endAngle=void 0,this.innerRadius=void 0,this.outerRadius=void 0,this.pixelMargin=0,this.fullCircles=0,t&&Object.assign(this,t)}inRange(t,e,i){const s=this.getProps(["x","y"],i),{angle:n,distance:o}=X(s,{x:t,y:e}),{startAngle:a,endAngle:r,innerRadius:h,outerRadius:c,circumference:d}=this.getProps(["startAngle","endAngle","innerRadius","outerRadius","circumference"],i),u=(this.options.spacing+this.options.borderWidth)/2,f=l(d,r-a),g=Z(n,a,r)&&a!==r,p=f>=O||g,m=tt(o,h+u,c+u);return p&&m}getCenterPoint(t){const{x:e,y:i,startAngle:s,endAngle:n,innerRadius:o,outerRadius:a}=this.getProps(["x","y","startAngle","endAngle","innerRadius","outerRadius"],t),{offset:r,spacing:l}=this.options,h=(s+n)/2,c=(o+a+l+r)/2;return{x:e+Math.cos(h)*c,y:i+Math.sin(h)*c}}tooltipPosition(t){return this.getCenterPoint(t)}draw(t){const{options:e,circumference:i}=this,s=(e.offset||0)/4,n=(e.spacing||0)/2,o=e.circular;if(this.pixelMargin="inner"===e.borderAlign?.33:0,this.fullCircles=i>O?Math.floor(i/O):0,0===i||this.innerRadius<0||this.outerRadius<0)return;t.save();const a=(this.startAngle+this.endAngle)/2;t.translate(Math.cos(a)*s,Math.sin(a)*s);const r=s*(1-Math.sin(Math.min(C,i||0)));t.fillStyle=e.backgroundColor,t.strokeStyle=e.borderColor,function(t,e,i,s,n){const{fullCircles:o,startAngle:a,circumference:r}=e;let l=e.endAngle;if(o){qn(t,e,i,s,l,n);for(let e=0;e("string"==typeof e?(i=t.push(e)-1,s.unshift({index:i,label:e})):isNaN(e)&&(i=null),i))(t,e,i,s);return n!==t.lastIndexOf(e)?i:n}function po(t){const e=this.getLabels();return t>=0&&ts=e?s:t,a=t=>n=i?n:t;if(t){const t=F(s),e=F(n);t<0&&e<0?a(0):t>0&&e>0&&o(0)}if(s===n){let e=0===n?1:Math.abs(.05*n);a(n+e),t||o(s-e)}this.min=s,this.max=n}getTickLimit(){const t=this.options.ticks;let e,{maxTicksLimit:i,stepSize:s}=t;return s?(e=Math.ceil(this.max/s)-Math.floor(this.min/s)+1,e>1e3&&(console.warn(`scales.${this.id}.ticks.stepSize: ${s} would result generating up to ${e} ticks. Limiting to 1000.`),e=1e3)):(e=this.computeTickLimit(),i=i||11),i&&(e=Math.min(i,e)),e}computeTickLimit(){return Number.POSITIVE_INFINITY}buildTicks(){const t=this.options,e=t.ticks;let i=this.getTickLimit();i=Math.max(2,i);const n=function(t,e){const i=[],{bounds:n,step:o,min:a,max:r,precision:l,count:h,maxTicks:c,maxDigits:d,includeBounds:u}=t,f=o||1,g=c-1,{min:p,max:m}=e,b=!s(a),x=!s(r),_=!s(h),y=(m-p)/(d+1);let v,M,w,k,S=B((m-p)/g/f)*f;if(S<1e-14&&!b&&!x)return[{value:p},{value:m}];k=Math.ceil(m/S)-Math.floor(p/S),k>g&&(S=B(k*S/g/f)*f),s(l)||(v=Math.pow(10,l),S=Math.ceil(S*v)/v),"ticks"===n?(M=Math.floor(p/S)*S,w=Math.ceil(m/S)*S):(M=p,w=m),b&&x&&o&&H((r-a)/o,S/1e3)?(k=Math.round(Math.min((r-a)/S,c)),S=(r-a)/k,M=a,w=r):_?(M=b?a:M,w=x?r:w,k=h-1,S=(w-M)/k):(k=(w-M)/S,k=V(k,Math.round(k),S/1e3)?Math.round(k):Math.ceil(k));const P=Math.max(U(S),U(M));v=Math.pow(10,s(l)?P:l),M=Math.round(M*v)/v,w=Math.round(w*v)/v;let D=0;for(b&&(u&&M!==a?(i.push({value:a}),Mr)break;i.push({value:t})}return x&&u&&w!==r?i.length&&V(i[i.length-1].value,r,mo(r,y,t))?i[i.length-1].value=r:i.push({value:r}):x&&w!==r||i.push({value:w}),i}({maxTicks:i,bounds:t.bounds,min:t.min,max:t.max,precision:e.precision,step:e.stepSize,count:e.count,maxDigits:this._maxDigits(),horizontal:this.isHorizontal(),minRotation:e.minRotation||0,includeBounds:!1!==e.includeBounds},this._range||this);return"ticks"===t.bounds&&j(n,this,"value"),t.reverse?(n.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),n}configure(){const t=this.ticks;let e=this.min,i=this.max;if(super.configure(),this.options.offset&&t.length){const s=(i-e)/Math.max(t.length-1,1)/2;e-=s,i+=s}this._startValue=e,this._endValue=i,this._valueRange=i-e}getLabelForValue(t){return ne(t,this.chart.options.locale,this.options.ticks.format)}}class xo extends bo{static id="linear";static defaults={ticks:{callback:ae.formatters.numeric}};determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?t:0,this.max=a(e)?e:1,this.handleTickRangeOptions()}computeTickLimit(){const t=this.isHorizontal(),e=t?this.width:this.height,i=$(this.options.ticks.minRotation),s=(t?Math.sin(i):Math.cos(i))||.001,n=this._resolveTickFontOptions(0);return Math.ceil(e/Math.min(40,n.lineHeight/s))}getPixelForValue(t){return null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getValueForPixel(t){return this._startValue+this.getDecimalForPixel(t)*this._valueRange}}const _o=t=>Math.floor(z(t)),yo=(t,e)=>Math.pow(10,_o(t)+e);function vo(t){return 1===t/Math.pow(10,_o(t))}function Mo(t,e,i){const s=Math.pow(10,i),n=Math.floor(t/s);return Math.ceil(e/s)-n}function wo(t,{min:e,max:i}){e=r(t.min,e);const s=[],n=_o(e);let o=function(t,e){let i=_o(e-t);for(;Mo(t,e,i)>10;)i++;for(;Mo(t,e,i)<10;)i--;return Math.min(i,_o(t))}(e,i),a=o<0?Math.pow(10,Math.abs(o)):1;const l=Math.pow(10,o),h=n>o?Math.pow(10,n):0,c=Math.round((e-h)*a)/a,d=Math.floor((e-h)/l/10)*l*10;let u=Math.floor((c-d)/Math.pow(10,o)),f=r(t.min,Math.round((h+d+u*Math.pow(10,o))*a)/a);for(;f=10?u=u<15?15:20:u++,u>=20&&(o++,u=2,a=o>=0?1:a),f=Math.round((h+d+u*Math.pow(10,o))*a)/a;const g=r(t.max,f);return s.push({value:g,major:vo(g),significand:u}),s}class ko extends Js{static id="logarithmic";static defaults={ticks:{callback:ae.formatters.logarithmic,major:{enabled:!0}}};constructor(t){super(t),this.start=void 0,this.end=void 0,this._startValue=void 0,this._valueRange=0}parse(t,e){const i=bo.prototype.parse.apply(this,[t,e]);if(0!==i)return a(i)&&i>0?i:null;this._zero=!0}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!0);this.min=a(t)?Math.max(0,t):null,this.max=a(e)?Math.max(0,e):null,this.options.beginAtZero&&(this._zero=!0),this._zero&&this.min!==this._suggestedMin&&!a(this._userMin)&&(this.min=t===yo(this.min,0)?yo(this.min,-1):yo(this.min,0)),this.handleTickRangeOptions()}handleTickRangeOptions(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let i=this.min,s=this.max;const n=e=>i=t?i:e,o=t=>s=e?s:t;i===s&&(i<=0?(n(1),o(10)):(n(yo(i,-1)),o(yo(s,1)))),i<=0&&n(yo(s,-1)),s<=0&&o(yo(i,1)),this.min=i,this.max=s}buildTicks(){const t=this.options,e=wo({min:this._userMin,max:this._userMax},this);return"ticks"===t.bounds&&j(e,this,"value"),t.reverse?(e.reverse(),this.start=this.max,this.end=this.min):(this.start=this.min,this.end=this.max),e}getLabelForValue(t){return void 0===t?"0":ne(t,this.chart.options.locale,this.options.ticks.format)}configure(){const t=this.min;super.configure(),this._startValue=z(t),this._valueRange=z(this.max)-z(t)}getPixelForValue(t){return void 0!==t&&0!==t||(t=this.min),null===t||isNaN(t)?NaN:this.getPixelForDecimal(t===this.min?0:(z(t)-this._startValue)/this._valueRange)}getValueForPixel(t){const e=this.getDecimalForPixel(t);return Math.pow(10,this._startValue+e*this._valueRange)}}function So(t){const e=t.ticks;if(e.display&&t.display){const t=ki(e.backdropPadding);return l(e.font&&e.font.size,ue.font.size)+t.height}return 0}function Po(t,e,i,s,n){return t===s||t===n?{start:e-i/2,end:e+i/2}:tn?{start:e-i,end:e}:{start:e,end:e+i}}function Do(t){const e={l:t.left+t._padding.left,r:t.right-t._padding.right,t:t.top+t._padding.top,b:t.bottom-t._padding.bottom},i=Object.assign({},e),s=[],o=[],a=t._pointLabels.length,r=t.options.pointLabels,l=r.centerPointLabels?C/a:0;for(let u=0;ue.r&&(r=(s.end-e.r)/o,t.r=Math.max(t.r,e.r+r)),n.starte.b&&(l=(n.end-e.b)/a,t.b=Math.max(t.b,e.b+l))}function Oo(t,e,i){const s=t.drawingArea,{extra:n,additionalAngle:o,padding:a,size:r}=i,l=t.getPointPosition(e,s+n+a,o),h=Math.round(Y(G(l.angle+E))),c=function(t,e,i){90===i||270===i?t-=e/2:(i>270||i<90)&&(t-=e);return t}(l.y,r.h,h),d=function(t){if(0===t||180===t)return"center";if(t<180)return"left";return"right"}(h),u=function(t,e,i){"right"===i?t-=e:"center"===i&&(t-=e/2);return t}(l.x,r.w,d);return{visible:!0,x:l.x,y:c,textAlign:d,left:u,top:c,right:u+r.w,bottom:c+r.h}}function Ao(t,e){if(!e)return!0;const{left:i,top:s,right:n,bottom:o}=t;return!(Re({x:i,y:s},e)||Re({x:i,y:o},e)||Re({x:n,y:s},e)||Re({x:n,y:o},e))}function To(t,e,i){const{left:n,top:o,right:a,bottom:r}=i,{backdropColor:l}=e;if(!s(l)){const i=wi(e.borderRadius),s=ki(e.backdropPadding);t.fillStyle=l;const h=n-s.left,c=o-s.top,d=a-n+s.width,u=r-o+s.height;Object.values(i).some((t=>0!==t))?(t.beginPath(),He(t,{x:h,y:c,w:d,h:u,radius:i}),t.fill()):t.fillRect(h,c,d,u)}}function Lo(t,e,i,s){const{ctx:n}=t;if(i)n.arc(t.xCenter,t.yCenter,e,0,O);else{let i=t.getPointPosition(0,e);n.moveTo(i.x,i.y);for(let o=1;ot,padding:5,centerPointLabels:!1}};static defaultRoutes={"angleLines.color":"borderColor","pointLabels.color":"color","ticks.color":"color"};static descriptors={angleLines:{_fallback:"grid"}};constructor(t){super(t),this.xCenter=void 0,this.yCenter=void 0,this.drawingArea=void 0,this._pointLabels=[],this._pointLabelItems=[]}setDimensions(){const t=this._padding=ki(So(this.options)/2),e=this.width=this.maxWidth-t.width,i=this.height=this.maxHeight-t.height;this.xCenter=Math.floor(this.left+e/2+t.left),this.yCenter=Math.floor(this.top+i/2+t.top),this.drawingArea=Math.floor(Math.min(e,i)/2)}determineDataLimits(){const{min:t,max:e}=this.getMinMax(!1);this.min=a(t)&&!isNaN(t)?t:0,this.max=a(e)&&!isNaN(e)?e:0,this.handleTickRangeOptions()}computeTickLimit(){return Math.ceil(this.drawingArea/So(this.options))}generateTickLabels(t){bo.prototype.generateTickLabels.call(this,t),this._pointLabels=this.getLabels().map(((t,e)=>{const i=d(this.options.pointLabels.callback,[t,e],this);return i||0===i?i:""})).filter(((t,e)=>this.chart.getDataVisibility(e)))}fit(){const t=this.options;t.display&&t.pointLabels.display?Do(this):this.setCenterPoint(0,0,0,0)}setCenterPoint(t,e,i,s){this.xCenter+=Math.floor((t-e)/2),this.yCenter+=Math.floor((i-s)/2),this.drawingArea-=Math.min(this.drawingArea/2,Math.max(t,e,i,s))}getIndexAngle(t){return G(t*(O/(this._pointLabels.length||1))+$(this.options.startAngle||0))}getDistanceFromCenterForValue(t){if(s(t))return NaN;const e=this.drawingArea/(this.max-this.min);return this.options.reverse?(this.max-t)*e:(t-this.min)*e}getValueForDistanceFromCenter(t){if(s(t))return NaN;const e=t/(this.drawingArea/(this.max-this.min));return this.options.reverse?this.max-e:this.min+e}getPointLabelContext(t){const e=this._pointLabels||[];if(t>=0&&t=0;n--){const e=t._pointLabelItems[n];if(!e.visible)continue;const o=s.setContext(t.getPointLabelContext(n));To(i,o,e);const a=Si(o.font),{x:r,y:l,textAlign:h}=e;Ne(i,t._pointLabels[n],r,l+a.lineHeight/2,a,{color:o.color,textAlign:h,textBaseline:"middle"})}}(this,o),s.display&&this.ticks.forEach(((t,e)=>{if(0!==e||0===e&&this.min<0){r=this.getDistanceFromCenterForValue(t.value);const i=this.getContext(e),a=s.setContext(i),l=n.setContext(i);!function(t,e,i,s,n){const o=t.ctx,a=e.circular,{color:r,lineWidth:l}=e;!a&&!s||!r||!l||i<0||(o.save(),o.strokeStyle=r,o.lineWidth=l,o.setLineDash(n.dash||[]),o.lineDashOffset=n.dashOffset,o.beginPath(),Lo(t,i,a,s),o.closePath(),o.stroke(),o.restore())}(this,a,r,o,l)}})),i.display){for(t.save(),a=o-1;a>=0;a--){const s=i.setContext(this.getPointLabelContext(a)),{color:n,lineWidth:o}=s;o&&n&&(t.lineWidth=o,t.strokeStyle=n,t.setLineDash(s.borderDash),t.lineDashOffset=s.borderDashOffset,r=this.getDistanceFromCenterForValue(e.reverse?this.min:this.max),l=this.getPointPosition(a,r),t.beginPath(),t.moveTo(this.xCenter,this.yCenter),t.lineTo(l.x,l.y),t.stroke())}t.restore()}}drawBorder(){}drawLabels(){const t=this.ctx,e=this.options,i=e.ticks;if(!i.display)return;const s=this.getIndexAngle(0);let n,o;t.save(),t.translate(this.xCenter,this.yCenter),t.rotate(s),t.textAlign="center",t.textBaseline="middle",this.ticks.forEach(((s,a)=>{if(0===a&&this.min>=0&&!e.reverse)return;const r=i.setContext(this.getContext(a)),l=Si(r.font);if(n=this.getDistanceFromCenterForValue(this.ticks[a].value),r.showLabelBackdrop){t.font=l.string,o=t.measureText(s.label).width,t.fillStyle=r.backdropColor;const e=ki(r.backdropPadding);t.fillRect(-o/2-e.left,-n-l.size/2-e.top,o+e.width,l.size+e.height)}Ne(t,s.label,0,-n,l,{color:r.color,strokeColor:r.textStrokeColor,strokeWidth:r.textStrokeWidth})})),t.restore()}drawTitle(){}}const Ro={millisecond:{common:!0,size:1,steps:1e3},second:{common:!0,size:1e3,steps:60},minute:{common:!0,size:6e4,steps:60},hour:{common:!0,size:36e5,steps:24},day:{common:!0,size:864e5,steps:30},week:{common:!1,size:6048e5,steps:4},month:{common:!0,size:2628e6,steps:12},quarter:{common:!1,size:7884e6,steps:4},year:{common:!0,size:3154e7}},Io=Object.keys(Ro);function zo(t,e){return t-e}function Fo(t,e){if(s(e))return null;const i=t._adapter,{parser:n,round:o,isoWeekday:r}=t._parseOpts;let l=e;return"function"==typeof n&&(l=n(l)),a(l)||(l="string"==typeof n?i.parse(l,n):i.parse(l)),null===l?null:(o&&(l="week"!==o||!N(r)&&!0!==r?i.startOf(l,o):i.startOf(l,"isoWeek",r)),+l)}function Vo(t,e,i,s){const n=Io.length;for(let o=Io.indexOf(t);o=e?i[s]:i[n]]=!0}}else t[e]=!0}function Wo(t,e,i){const s=[],n={},o=e.length;let a,r;for(a=0;a=0&&(e[l].major=!0);return e}(t,s,n,i):s}class No extends Js{static id="time";static defaults={bounds:"data",adapters:{},time:{parser:!1,unit:!1,round:!1,isoWeekday:!1,minUnit:"millisecond",displayFormats:{}},ticks:{source:"auto",callback:!1,major:{enabled:!1}}};constructor(t){super(t),this._cache={data:[],labels:[],all:[]},this._unit="day",this._majorUnit=void 0,this._offsets={},this._normalized=!1,this._parseOpts=void 0}init(t,e={}){const i=t.time||(t.time={}),s=this._adapter=new Rn._date(t.adapters.date);s.init(e),x(i.displayFormats,s.formats()),this._parseOpts={parser:i.parser,round:i.round,isoWeekday:i.isoWeekday},super.init(t),this._normalized=e.normalized}parse(t,e){return void 0===t?null:Fo(this,t)}beforeLayout(){super.beforeLayout(),this._cache={data:[],labels:[],all:[]}}determineDataLimits(){const t=this.options,e=this._adapter,i=t.time.unit||"day";let{min:s,max:n,minDefined:o,maxDefined:r}=this.getUserBounds();function l(t){o||isNaN(t.min)||(s=Math.min(s,t.min)),r||isNaN(t.max)||(n=Math.max(n,t.max))}o&&r||(l(this._getLabelBounds()),"ticks"===t.bounds&&"labels"===t.ticks.source||l(this.getMinMax(!1))),s=a(s)&&!isNaN(s)?s:+e.startOf(Date.now(),i),n=a(n)&&!isNaN(n)?n:+e.endOf(Date.now(),i)+1,this.min=Math.min(s,n-1),this.max=Math.max(s+1,n)}_getLabelBounds(){const t=this.getLabelTimestamps();let e=Number.POSITIVE_INFINITY,i=Number.NEGATIVE_INFINITY;return t.length&&(e=t[0],i=t[t.length-1]),{min:e,max:i}}buildTicks(){const t=this.options,e=t.time,i=t.ticks,s="labels"===i.source?this.getLabelTimestamps():this._generate();"ticks"===t.bounds&&s.length&&(this.min=this._userMin||s[0],this.max=this._userMax||s[s.length-1]);const n=this.min,o=nt(s,n,this.max);return this._unit=e.unit||(i.autoSkip?Vo(e.minUnit,this.min,this.max,this._getLabelCapacity(n)):function(t,e,i,s,n){for(let o=Io.length-1;o>=Io.indexOf(i);o--){const i=Io[o];if(Ro[i].common&&t._adapter.diff(n,s,i)>=e-1)return i}return Io[i?Io.indexOf(i):0]}(this,o.length,e.minUnit,this.min,this.max)),this._majorUnit=i.major.enabled&&"year"!==this._unit?function(t){for(let e=Io.indexOf(t)+1,i=Io.length;e+t.value)))}initOffsets(t=[]){let e,i,s=0,n=0;this.options.offset&&t.length&&(e=this.getDecimalForValue(t[0]),s=1===t.length?1-e:(this.getDecimalForValue(t[1])-e)/2,i=this.getDecimalForValue(t[t.length-1]),n=1===t.length?i:(i-this.getDecimalForValue(t[t.length-2]))/2);const o=t.length<3?.5:.25;s=J(s,0,o),n=J(n,0,o),this._offsets={start:s,end:n,factor:1/(s+1+n)}}_generate(){const t=this._adapter,e=this.min,i=this.max,s=this.options,n=s.time,o=n.unit||Vo(n.minUnit,e,i,this._getLabelCapacity(e)),a=l(s.ticks.stepSize,1),r="week"===o&&n.isoWeekday,h=N(r)||!0===r,c={};let d,u,f=e;if(h&&(f=+t.startOf(f,"isoWeek",r)),f=+t.startOf(f,h?"day":o),t.diff(i,e,o)>1e5*a)throw new Error(e+" and "+i+" are too far apart with stepSize of "+a+" "+o);const g="data"===s.ticks.source&&this.getDataTimestamps();for(d=f,u=0;d+t))}getLabelForValue(t){const e=this._adapter,i=this.options.time;return i.tooltipFormat?e.format(t,i.tooltipFormat):e.format(t,i.displayFormats.datetime)}format(t,e){const i=this.options.time.displayFormats,s=this._unit,n=e||i[s];return this._adapter.format(t,n)}_tickFormatFunction(t,e,i,s){const n=this.options,o=n.ticks.callback;if(o)return d(o,[t,e,i],this);const a=n.time.displayFormats,r=this._unit,l=this._majorUnit,h=r&&a[r],c=l&&a[l],u=i[e],f=l&&c&&u&&u.major;return this._adapter.format(t,s||(f?c:h))}generateTickLabels(t){let e,i,s;for(e=0,i=t.length;e0?a:1}getDataTimestamps(){let t,e,i=this._cache.data||[];if(i.length)return i;const s=this.getMatchingVisibleMetas();if(this._normalized&&s.length)return this._cache.data=s[0].controller.getAllParsedValues(this);for(t=0,e=s.length;t=t[r].pos&&e<=t[l].pos&&({lo:r,hi:l}=it(t,"pos",e)),({pos:s,time:o}=t[r]),({pos:n,time:a}=t[l])):(e>=t[r].time&&e<=t[l].time&&({lo:r,hi:l}=it(t,"time",e)),({time:s,pos:o}=t[r]),({time:n,pos:a}=t[l]));const h=n-s;return h?o+(a-o)*(e-s)/h:o}var jo=Object.freeze({__proto__:null,CategoryScale:class extends Js{static id="category";static defaults={ticks:{callback:po}};constructor(t){super(t),this._startValue=void 0,this._valueRange=0,this._addedLabels=[]}init(t){const e=this._addedLabels;if(e.length){const t=this.getLabels();for(const{index:i,label:s}of e)t[i]===s&&t.splice(i,1);this._addedLabels=[]}super.init(t)}parse(t,e){if(s(t))return null;const i=this.getLabels();return((t,e)=>null===t?null:J(Math.round(t),0,e))(e=isFinite(e)&&i[e]===t?e:go(i,t,l(e,t),this._addedLabels),i.length-1)}determineDataLimits(){const{minDefined:t,maxDefined:e}=this.getUserBounds();let{min:i,max:s}=this.getMinMax(!0);"ticks"===this.options.bounds&&(t||(i=0),e||(s=this.getLabels().length-1)),this.min=i,this.max=s}buildTicks(){const t=this.min,e=this.max,i=this.options.offset,s=[];let n=this.getLabels();n=0===t&&e===n.length-1?n:n.slice(t,e+1),this._valueRange=Math.max(n.length-(i?0:1),1),this._startValue=this.min-(i?.5:0);for(let i=t;i<=e;i++)s.push({value:i});return s}getLabelForValue(t){return po.call(this,t)}configure(){super.configure(),this.isHorizontal()||(this._reversePixels=!this._reversePixels)}getPixelForValue(t){return"number"!=typeof t&&(t=this.parse(t)),null===t?NaN:this.getPixelForDecimal((t-this._startValue)/this._valueRange)}getPixelForTick(t){const e=this.ticks;return t<0||t>e.length-1?null:this.getPixelForValue(e[t].value)}getValueForPixel(t){return Math.round(this._startValue+this.getDecimalForPixel(t)*this._valueRange)}getBasePixel(){return this.bottom}},LinearScale:xo,LogarithmicScale:ko,RadialLinearScale:Eo,TimeScale:No,TimeSeriesScale:class extends No{static id="timeseries";static defaults=No.defaults;constructor(t){super(t),this._table=[],this._minPos=void 0,this._tableRange=void 0}initOffsets(){const t=this._getTimestampsForTable(),e=this._table=this.buildLookupTable(t);this._minPos=Ho(e,this.min),this._tableRange=Ho(e,this.max)-this._minPos,super.initOffsets(t)}buildLookupTable(t){const{min:e,max:i}=this,s=[],n=[];let o,a,r,l,h;for(o=0,a=t.length;o=e&&l<=i&&s.push(l);if(s.length<2)return[{time:e,pos:0},{time:i,pos:1}];for(o=0,a=s.length;ot-e))}_getTimestampsForTable(){let t=this._cache.all||[];if(t.length)return t;const e=this.getDataTimestamps(),i=this.getLabelTimestamps();return 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c=t.scales[l.xAxisID];if("linear"!==c.type&&"time"!==c.type)return;if(t.options.parsing)return;let{start:d,count:u}=function(t,e){const i=e.length;let s,n=0;const{iScale:o}=t,{min:a,max:r,minDefined:l,maxDefined:h}=o.getUserBounds();return l&&(n=J(it(e,o.axis,a).lo,0,i-1)),s=h?J(it(e,o.axis,r).hi+1,n,i)-n:i-n,{start:n,count:s}}(l,h);if(u<=(i.threshold||4*n))return void Zo(e);let f;switch(s(a)&&(e._data=h,delete e.data,Object.defineProperty(e,"data",{configurable:!0,enumerable:!0,get:function(){return this._decimated},set:function(t){this._data=t}})),i.algorithm){case"lttb":f=function(t,e,i,s,n){const o=n.samples||s;if(o>=i)return t.slice(e,e+i);const a=[],r=(i-2)/(o-2);let l=0;const h=e+i-1;let c,d,u,f,g,p=e;for(a[l++]=t[p],c=0;cu&&(u=f,d=t[s],g=s);a[l++]=d,p=g}return a[l++]=t[h],a}(h,d,u,n,i);break;case"min-max":f=function(t,e,i,n){let o,a,r,l,h,c,d,u,f,g,p=0,m=0;const b=[],x=e+i-1,_=t[e].x,y=t[x].x-_;for(o=e;og&&(g=l,d=o),p=(m*p+a.x)/++m;else{const i=o-1;if(!s(c)&&!s(d)){const e=Math.min(c,d),s=Math.max(c,d);e!==u&&e!==i&&b.push({...t[e],x:p}),s!==u&&s!==i&&b.push({...t[s],x:p})}o>0&&i!==u&&b.push(t[i]),b.push(a),h=e,m=0,f=g=l,c=d=u=o}}return b}(h,d,u,n);break;default:throw new Error(`Unsupported decimation algorithm '${i.algorithm}'`)}e._decimated=f}))},destroy(t){Jo(t)}};function ta(t,e,i,s){if(s)return;let n=e[t],o=i[t];return"angle"===t&&(n=G(n),o=G(o)),{property:t,start:n,end:o}}function ea(t,e,i){for(;e>t;e--){const t=i[e];if(!isNaN(t.x)&&!isNaN(t.y))break}return e}function ia(t,e,i,s){return t&&e?s(t[i],e[i]):t?t[i]:e?e[i]:0}function sa(t,e){let i=[],s=!1;return n(t)?(s=!0,i=t):i=function(t,e){const{x:i=null,y:s=null}=t||{},n=e.points,o=[];return e.segments.forEach((({start:t,end:e})=>{e=ea(t,e,n);const a=n[t],r=n[e];null!==s?(o.push({x:a.x,y:s}),o.push({x:r.x,y:s})):null!==i&&(o.push({x:i,y:a.y}),o.push({x:i,y:r.y}))})),o}(t,e),i.length?new no({points:i,options:{tension:0},_loop:s,_fullLoop:s}):null}function na(t){return t&&!1!==t.fill}function oa(t,e,i){let s=t[e].fill;const n=[e];let o;if(!i)return s;for(;!1!==s&&-1===n.indexOf(s);){if(!a(s))return s;if(o=t[s],!o)return!1;if(o.visible)return s;n.push(s),s=o.fill}return!1}function aa(t,e,i){const s=function(t){const e=t.options,i=e.fill;let s=l(i&&i.target,i);void 0===s&&(s=!!e.backgroundColor);if(!1===s||null===s)return!1;if(!0===s)return"origin";return s}(t);if(o(s))return!isNaN(s.value)&&s;let n=parseFloat(s);return a(n)&&Math.floor(n)===n?function(t,e,i,s){"-"!==t&&"+"!==t||(i=e+i);if(i===e||i<0||i>=s)return!1;return i}(s[0],e,n,i):["origin","start","end","stack","shape"].indexOf(s)>=0&&s}function ra(t,e,i){const s=[];for(let n=0;n=0;--e){const i=n[e].$filler;i&&(i.line.updateControlPoints(o,i.axis),s&&i.fill&&da(t.ctx,i,o))}},beforeDatasetsDraw(t,e,i){if("beforeDatasetsDraw"!==i.drawTime)return;const s=t.getSortedVisibleDatasetMetas();for(let e=s.length-1;e>=0;--e){const i=s[e].$filler;na(i)&&da(t.ctx,i,t.chartArea)}},beforeDatasetDraw(t,e,i){const s=e.meta.$filler;na(s)&&"beforeDatasetDraw"===i.drawTime&&da(t.ctx,s,t.chartArea)},defaults:{propagate:!0,drawTime:"beforeDatasetDraw"}};const ba=(t,e)=>{let{boxHeight:i=e,boxWidth:s=e}=t;return t.usePointStyle&&(i=Math.min(i,e),s=t.pointStyleWidth||Math.min(s,e)),{boxWidth:s,boxHeight:i,itemHeight:Math.max(e,i)}};class xa extends Hs{constructor(t){super(),this._added=!1,this.legendHitBoxes=[],this._hoveredItem=null,this.doughnutMode=!1,this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this.legendItems=void 0,this.columnSizes=void 0,this.lineWidths=void 0,this.maxHeight=void 0,this.maxWidth=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.height=void 0,this.width=void 0,this._margins=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e,i){this.maxWidth=t,this.maxHeight=e,this._margins=i,this.setDimensions(),this.buildLabels(),this.fit()}setDimensions(){this.isHorizontal()?(this.width=this.maxWidth,this.left=this._margins.left,this.right=this.width):(this.height=this.maxHeight,this.top=this._margins.top,this.bottom=this.height)}buildLabels(){const t=this.options.labels||{};let e=d(t.generateLabels,[this.chart],this)||[];t.filter&&(e=e.filter((e=>t.filter(e,this.chart.data)))),t.sort&&(e=e.sort(((e,i)=>t.sort(e,i,this.chart.data)))),this.options.reverse&&e.reverse(),this.legendItems=e}fit(){const{options:t,ctx:e}=this;if(!t.display)return void(this.width=this.height=0);const i=t.labels,s=Si(i.font),n=s.size,o=this._computeTitleHeight(),{boxWidth:a,itemHeight:r}=ba(i,n);let l,h;e.font=s.string,this.isHorizontal()?(l=this.maxWidth,h=this._fitRows(o,n,a,r)+10):(h=this.maxHeight,l=this._fitCols(o,s,a,r)+10),this.width=Math.min(l,t.maxWidth||this.maxWidth),this.height=Math.min(h,t.maxHeight||this.maxHeight)}_fitRows(t,e,i,s){const{ctx:n,maxWidth:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.lineWidths=[0],h=s+a;let c=t;n.textAlign="left",n.textBaseline="middle";let d=-1,u=-h;return this.legendItems.forEach(((t,f)=>{const g=i+e/2+n.measureText(t.text).width;(0===f||l[l.length-1]+g+2*a>o)&&(c+=h,l[l.length-(f>0?0:1)]=0,u+=h,d++),r[f]={left:0,top:u,row:d,width:g,height:s},l[l.length-1]+=g+a})),c}_fitCols(t,e,i,s){const{ctx:n,maxHeight:o,options:{labels:{padding:a}}}=this,r=this.legendHitBoxes=[],l=this.columnSizes=[],h=o-t;let c=a,d=0,u=0,f=0,g=0;return this.legendItems.forEach(((t,o)=>{const{itemWidth:p,itemHeight:m}=function(t,e,i,s,n){const o=function(t,e,i,s){let n=t.text;n&&"string"!=typeof n&&(n=n.reduce(((t,e)=>t.length>e.length?t:e)));return e+i.size/2+s.measureText(n).width}(s,t,e,i),a=function(t,e,i){let s=t;"string"!=typeof e.text&&(s=_a(e,i));return s}(n,s,e.lineHeight);return{itemWidth:o,itemHeight:a}}(i,e,n,t,s);o>0&&u+m+2*a>h&&(c+=d+a,l.push({width:d,height:u}),f+=d+a,g++,d=u=0),r[o]={left:f,top:u,col:g,width:p,height:m},d=Math.max(d,p),u+=m+a})),c+=d,l.push({width:d,height:u}),c}adjustHitBoxes(){if(!this.options.display)return;const t=this._computeTitleHeight(),{legendHitBoxes:e,options:{align:i,labels:{padding:s},rtl:n}}=this,o=Oi(n,this.left,this.width);if(this.isHorizontal()){let n=0,a=ft(i,this.left+s,this.right-this.lineWidths[n]);for(const r of e)n!==r.row&&(n=r.row,a=ft(i,this.left+s,this.right-this.lineWidths[n])),r.top+=this.top+t+s,r.left=o.leftForLtr(o.x(a),r.width),a+=r.width+s}else{let n=0,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height);for(const r of e)r.col!==n&&(n=r.col,a=ft(i,this.top+t+s,this.bottom-this.columnSizes[n].height)),r.top=a,r.left+=this.left+s,r.left=o.leftForLtr(o.x(r.left),r.width),a+=r.height+s}}isHorizontal(){return"top"===this.options.position||"bottom"===this.options.position}draw(){if(this.options.display){const t=this.ctx;Ie(t,this),this._draw(),ze(t)}}_draw(){const{options:t,columnSizes:e,lineWidths:i,ctx:s}=this,{align:n,labels:o}=t,a=ue.color,r=Oi(t.rtl,this.left,this.width),h=Si(o.font),{padding:c}=o,d=h.size,u=d/2;let f;this.drawTitle(),s.textAlign=r.textAlign("left"),s.textBaseline="middle",s.lineWidth=.5,s.font=h.string;const{boxWidth:g,boxHeight:p,itemHeight:m}=ba(o,d),b=this.isHorizontal(),x=this._computeTitleHeight();f=b?{x:ft(n,this.left+c,this.right-i[0]),y:this.top+c+x,line:0}:{x:this.left+c,y:ft(n,this.top+x+c,this.bottom-e[0].height),line:0},Ai(this.ctx,t.textDirection);const _=m+c;this.legendItems.forEach(((y,v)=>{s.strokeStyle=y.fontColor,s.fillStyle=y.fontColor;const M=s.measureText(y.text).width,w=r.textAlign(y.textAlign||(y.textAlign=o.textAlign)),k=g+u+M;let S=f.x,P=f.y;r.setWidth(this.width),b?v>0&&S+k+c>this.right&&(P=f.y+=_,f.line++,S=f.x=ft(n,this.left+c,this.right-i[f.line])):v>0&&P+_>this.bottom&&(S=f.x=S+e[f.line].width+c,f.line++,P=f.y=ft(n,this.top+x+c,this.bottom-e[f.line].height));if(function(t,e,i){if(isNaN(g)||g<=0||isNaN(p)||p<0)return;s.save();const n=l(i.lineWidth,1);if(s.fillStyle=l(i.fillStyle,a),s.lineCap=l(i.lineCap,"butt"),s.lineDashOffset=l(i.lineDashOffset,0),s.lineJoin=l(i.lineJoin,"miter"),s.lineWidth=n,s.strokeStyle=l(i.strokeStyle,a),s.setLineDash(l(i.lineDash,[])),o.usePointStyle){const a={radius:p*Math.SQRT2/2,pointStyle:i.pointStyle,rotation:i.rotation,borderWidth:n},l=r.xPlus(t,g/2);Ee(s,a,l,e+u,o.pointStyleWidth&&g)}else{const o=e+Math.max((d-p)/2,0),a=r.leftForLtr(t,g),l=wi(i.borderRadius);s.beginPath(),Object.values(l).some((t=>0!==t))?He(s,{x:a,y:o,w:g,h:p,radius:l}):s.rect(a,o,g,p),s.fill(),0!==n&&s.stroke()}s.restore()}(r.x(S),P,y),S=gt(w,S+g+u,b?S+k:this.right,t.rtl),function(t,e,i){Ne(s,i.text,t,e+m/2,h,{strikethrough:i.hidden,textAlign:r.textAlign(i.textAlign)})}(r.x(S),P,y),b)f.x+=k+c;else if("string"!=typeof y.text){const t=h.lineHeight;f.y+=_a(y,t)+c}else f.y+=_})),Ti(this.ctx,t.textDirection)}drawTitle(){const t=this.options,e=t.title,i=Si(e.font),s=ki(e.padding);if(!e.display)return;const n=Oi(t.rtl,this.left,this.width),o=this.ctx,a=e.position,r=i.size/2,l=s.top+r;let h,c=this.left,d=this.width;if(this.isHorizontal())d=Math.max(...this.lineWidths),h=this.top+l,c=ft(t.align,c,this.right-d);else{const e=this.columnSizes.reduce(((t,e)=>Math.max(t,e.height)),0);h=l+ft(t.align,this.top,this.bottom-e-t.labels.padding-this._computeTitleHeight())}const u=ft(a,c,c+d);o.textAlign=n.textAlign(ut(a)),o.textBaseline="middle",o.strokeStyle=e.color,o.fillStyle=e.color,o.font=i.string,Ne(o,e.text,u,h,i)}_computeTitleHeight(){const t=this.options.title,e=Si(t.font),i=ki(t.padding);return t.display?e.lineHeight+i.height:0}_getLegendItemAt(t,e){let i,s,n;if(tt(t,this.left,this.right)&&tt(e,this.top,this.bottom))for(n=this.legendHitBoxes,i=0;it.chart.options.color,boxWidth:40,padding:10,generateLabels(t){const e=t.data.datasets,{labels:{usePointStyle:i,pointStyle:s,textAlign:n,color:o,useBorderRadius:a,borderRadius:r}}=t.legend.options;return t._getSortedDatasetMetas().map((t=>{const l=t.controller.getStyle(i?0:void 0),h=ki(l.borderWidth);return{text:e[t.index].label,fillStyle:l.backgroundColor,fontColor:o,hidden:!t.visible,lineCap:l.borderCapStyle,lineDash:l.borderDash,lineDashOffset:l.borderDashOffset,lineJoin:l.borderJoinStyle,lineWidth:(h.width+h.height)/4,strokeStyle:l.borderColor,pointStyle:s||l.pointStyle,rotation:l.rotation,textAlign:n||l.textAlign,borderRadius:a&&(r||l.borderRadius),datasetIndex:t.index}}),this)}},title:{color:t=>t.chart.options.color,display:!1,position:"center",text:""}},descriptors:{_scriptable:t=>!t.startsWith("on"),labels:{_scriptable:t=>!["generateLabels","filter","sort"].includes(t)}}};class va extends Hs{constructor(t){super(),this.chart=t.chart,this.options=t.options,this.ctx=t.ctx,this._padding=void 0,this.top=void 0,this.bottom=void 0,this.left=void 0,this.right=void 0,this.width=void 0,this.height=void 0,this.position=void 0,this.weight=void 0,this.fullSize=void 0}update(t,e){const i=this.options;if(this.left=0,this.top=0,!i.display)return void(this.width=this.height=this.right=this.bottom=0);this.width=this.right=t,this.height=this.bottom=e;const s=n(i.text)?i.text.length:1;this._padding=ki(i.padding);const o=s*Si(i.font).lineHeight+this._padding.height;this.isHorizontal()?this.height=o:this.width=o}isHorizontal(){const t=this.options.position;return"top"===t||"bottom"===t}_drawArgs(t){const{top:e,left:i,bottom:s,right:n,options:o}=this,a=o.align;let r,l,h,c=0;return this.isHorizontal()?(l=ft(a,i,n),h=e+t,r=n-i):("left"===o.position?(l=i+t,h=ft(a,s,e),c=-.5*C):(l=n-t,h=ft(a,e,s),c=.5*C),r=s-e),{titleX:l,titleY:h,maxWidth:r,rotation:c}}draw(){const t=this.ctx,e=this.options;if(!e.display)return;const i=Si(e.font),s=i.lineHeight/2+this._padding.top,{titleX:n,titleY:o,maxWidth:a,rotation:r}=this._drawArgs(s);Ne(t,e.text,0,0,i,{color:e.color,maxWidth:a,rotation:r,textAlign:ut(e.align),textBaseline:"middle",translation:[n,o]})}}var Ma={id:"title",_element:va,start(t,e,i){!function(t,e){const i=new 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i={tooltip:e};if(!1===t.notifyPlugins("beforeTooltipDraw",{...i,cancelable:!0}))return;e.draw(t.ctx),t.notifyPlugins("afterTooltipDraw",i)}},afterEvent(t,e){if(t.tooltip){const i=e.replay;t.tooltip.handleEvent(e.event,i,e.inChartArea)&&(e.changed=!0)}},defaults:{enabled:!0,external:null,position:"average",backgroundColor:"rgba(0,0,0,0.8)",titleColor:"#fff",titleFont:{weight:"bold"},titleSpacing:2,titleMarginBottom:6,titleAlign:"left",bodyColor:"#fff",bodySpacing:2,bodyFont:{},bodyAlign:"left",footerColor:"#fff",footerSpacing:2,footerMarginTop:6,footerFont:{weight:"bold"},footerAlign:"left",padding:6,caretPadding:2,caretSize:5,cornerRadius:6,boxHeight:(t,e)=>e.bodyFont.size,boxWidth:(t,e)=>e.bodyFont.size,multiKeyBackground:"#fff",displayColors:!0,boxPadding:0,borderColor:"rgba(0,0,0,0)",borderWidth:0,animation:{duration:400,easing:"easeOutQuart"},animations:{numbers:{type:"number",properties:["x","y","width","height","caretX","caretY"]},opacity:{easing:"linear",duration:200}},callbacks:za},defaultRoutes:{bodyFont:"font",footerFont:"font",titleFont:"font"},descriptors:{_scriptable:t=>"filter"!==t&&"itemSort"!==t&&"external"!==t,_indexable:!1,callbacks:{_scriptable:!1,_indexable:!1},animation:{_fallback:!1},animations:{_fallback:"animation"}},additionalOptionScopes:["interaction"]};return 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3:this.point(this._x2,this._y2),this.point(this._x3,this._y3),this.point(this._x4,this._y4)}},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._x2=t,this._y2=n;break;case 1:this._point=2,this._x3=t,this._y3=n;break;case 2:this._point=3,this._x4=t,this._y4=n,this._context.moveTo((this._x0+4*this._x1+t)/6,(this._y0+4*this._y1+n)/6);break;default:Rx(this,t,n)}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=n}},Ux.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=NaN,this._point=0},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3;var e=(this._x0+4*this._x1+t)/6,r=(this._y0+4*this._y1+n)/6;this._line?this._context.lineTo(e,r):this._context.moveTo(e,r);break;case 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