"""Remplit servers.responsable_nom / referent_nom par agregation probabiliste.

Sources examinees (par priorite, poids decroissant) :
 1. Planning Patching 2026_ayoub.xlsx - sheet 'Serveurs patchables 2026' (poids 3)
    - Col 'Asset Name' / 'Responsable Domaine DTS' / 'Referent technique'
 2. Plan de Patching serveurs 2026.xlsx - sheet 'Histo-2025' (poids 2)
    - Col 'Asset Name' / 'Responsable Domaine DTS' / 'Referent technique'
 3. Plan de Patching serveurs 2026.xlsx - sheets hebdo S02..S52 (poids 1 chacune)
    - Col 0 (Asset Name) / Col 7 (Responsable Domaine DTS) / Col 9 (Referent technique)
 4. domain_environments.responsable_nom / referent_nom (fallback, poids 1)

Algorithme par hostname :
 - Agrege toutes les occurrences (name, role, weight)
 - Pour chaque role (responsable / referent) : score = sum(weights)
 - Retient le nom avec le score max
 - Verifie existence dans contacts (case/accent-insensitive). Garde le nom canonique.
 - UPDATE servers.responsable_nom / referent_nom si champ vide (sauf --overwrite)

Usage:
    python tools/fill_responsables_by_probability.py [--ayoub <xlsx>] [--patching <xlsx>] [--dry-run] [--overwrite]
"""
import os
import re
import argparse
import unicodedata
from collections import defaultdict
from sqlalchemy import create_engine, text

try:
    import openpyxl
except ImportError:
    print("[ERR] pip install openpyxl")
    raise

DATABASE_URL = os.getenv("DATABASE_URL_DEMO") or os.getenv("DATABASE_URL") \
    or "postgresql://patchcenter:PatchCenter2026!@localhost:5432/patchcenter_demo"


def norm_name(s):
    """ASCII lowercase sans accent, espaces multiples compresses."""
    if not s:
        return ""
    nfkd = unicodedata.normalize("NFKD", s.strip().lower())
    ascii_str = "".join(c for c in nfkd if not unicodedata.combining(c))
    return " ".join(ascii_str.replace("\xa0", " ").split())


def clean(v):
    if v is None:
        return None
    s = str(v).replace("\xa0", " ").strip()
    return s or None


def collect_from_sheet(ws, col_host, col_resp, col_ref, weight, scores, source_label):
    """Cumule scores dans scores[hostname][role][canonical_name] += weight"""
    added = 0
    for row in ws.iter_rows(min_row=2, values_only=True):
        h = clean(row[col_host]) if col_host < len(row) else None
        if not h:
            continue
        h = h.split(".")[0].lower()
        if not any(c.isalpha() for c in h):
            continue
        if col_resp >= 0 and col_resp < len(row):
            r = clean(row[col_resp])
            if r:
                r = re.sub(r"\s+", " ", r)
                scores[h]["responsable"][r] += weight
                added += 1
        if col_ref >= 0 and col_ref < len(row):
            r = clean(row[col_ref])
            if r:
                r = re.sub(r"\s+", " ", r)
                scores[h]["referent"][r] += weight
                added += 1
    print(f"  [{source_label}] +{added} observations (weight {weight})")


def resolve_header(ws, candidates):
    header = [clean(c.value) or "" for c in ws[1]]
    for i, h in enumerate(header):
        for cand in candidates:
            if cand.lower() in h.lower():
                return i
    return -1


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("--ayoub", default=None, help="Chemin Planning Patching 2026_ayoub.xlsx")
    parser.add_argument("--patching", default=None, help="Chemin Plan de Patching serveurs 2026.xlsx")
    parser.add_argument("--dry-run", action="store_true")
    parser.add_argument("--overwrite", action="store_true")
    args = parser.parse_args()

    # scores[hostname][role][name] = poids cumule
    scores = defaultdict(lambda: {"responsable": defaultdict(int), "referent": defaultdict(int)})

    # Source 1 : Ayoub
    if args.ayoub and os.path.exists(args.ayoub):
        print(f"[INFO] Lecture {args.ayoub}")
        wb = openpyxl.load_workbook(args.ayoub, data_only=True)
        sheet = "Serveurs patchables 2026"
        if sheet in wb.sheetnames:
            ws = wb[sheet]
            col_h = resolve_header(ws, ["Asset Name", "Hostname"])
            col_r = resolve_header(ws, ["Responsable Domaine"])
            col_t = resolve_header(ws, ["Referent technique", "Référent technique"])
            collect_from_sheet(ws, col_h, col_r, col_t, 3, scores, "ayoub/Serveurs patchables")

    # Source 2+3 : Plan de Patching (Histo-2025 + S**)
    if args.patching and os.path.exists(args.patching):
        print(f"[INFO] Lecture {args.patching}")
        wb = openpyxl.load_workbook(args.patching, data_only=True)
        # Histo-2025
        for sheet in ("Histo-2025", "Histo_2025"):
            if sheet in wb.sheetnames:
                ws = wb[sheet]
                col_h = resolve_header(ws, ["Asset Name", "Hostname", "Nom"])
                col_r = resolve_header(ws, ["Responsable Domaine"])
                col_t = resolve_header(ws, ["Referent technique", "Référent technique", "Administrateur"])
                collect_from_sheet(ws, col_h, col_r, col_t, 2, scores, sheet)
                break
        # Weekly sheets
        for sheet_name in wb.sheetnames:
            if re.match(r"S\d{1,2}$", sheet_name, re.IGNORECASE):
                ws = wb[sheet_name]
                col_h = resolve_header(ws, ["Asset Name", "Hostname"])
                col_r = resolve_header(ws, ["Responsable Domaine"])
                col_t = resolve_header(ws, ["Referent technique", "Référent technique"])
                collect_from_sheet(ws, col_h, col_r, col_t, 1, scores, sheet_name)

    engine = create_engine(DATABASE_URL)
    conn = engine.connect().execution_options(isolation_level="AUTOCOMMIT")

    # Source 4 : fallback domain_environments
    print("[INFO] Fallback via domain_environments...")
    rows = conn.execute(text("""
        SELECT s.hostname, de.responsable_nom, de.referent_nom
        FROM servers s
        JOIN domain_environments de ON s.domain_env_id = de.id
    """)).fetchall()
    for r in rows:
        h = r.hostname.lower()
        if r.responsable_nom:
            scores[h]["responsable"][r.responsable_nom] += 1
        if r.referent_nom:
            scores[h]["referent"][r.referent_nom] += 1

    # Index contacts pour validation/canonicalisation
    contacts = conn.execute(text("SELECT name FROM contacts")).fetchall()
    contact_canon = {}  # norm_name -> name canonique
    for c in contacts:
        k = norm_name(c.name)
        if k and k not in contact_canon:
            contact_canon[k] = c.name

    def canonical(n):
        """Retourne le nom canonique (depuis contacts) ou le nom tel quel."""
        k = norm_name(n)
        return contact_canon.get(k, n)

    # Decision finale par hostname
    stats = {"updated": 0, "unchanged": 0, "no_data": 0, "no_server": 0}
    detail_resp_source = defaultdict(int)

    hosts_in_db = {r.hostname.lower(): r.id for r in
                   conn.execute(text("SELECT id, hostname, responsable_nom, referent_nom FROM servers")).fetchall()}
    curr_by_host = {r.hostname.lower(): (r.responsable_nom, r.referent_nom) for r in
                    conn.execute(text("SELECT hostname, responsable_nom, referent_nom FROM servers")).fetchall()}

    for host, roles in scores.items():
        sid = hosts_in_db.get(host)
        if not sid:
            stats["no_server"] += 1
            continue

        curr_resp, curr_ref = curr_by_host.get(host, (None, None))
        updates = {}

        # Responsable
        if roles["responsable"] and (args.overwrite or not (curr_resp or "").strip()):
            best, score = max(roles["responsable"].items(), key=lambda x: x[1])
            # Normalise via contacts si possible
            new_name = canonical(best)[:200]
            if new_name != curr_resp:
                updates["responsable_nom"] = new_name
                detail_resp_source[f"score={score}"] += 1

        # Referent
        if roles["referent"] and (args.overwrite or not (curr_ref or "").strip()):
            best, score = max(roles["referent"].items(), key=lambda x: x[1])
            new_name = canonical(best)[:200]
            if new_name != curr_ref:
                updates["referent_nom"] = new_name

        if not updates:
            stats["unchanged"] += 1
            continue

        if args.dry_run:
            print(f"  DRY: {host:25s} {updates}")
        else:
            sets = ", ".join(f"{k}=:{k}" for k in updates)
            params = dict(updates); params["sid"] = sid
            conn.execute(text(f"UPDATE servers SET {sets} WHERE id=:sid"), params)
        stats["updated"] += 1

    conn.close()
    print(f"\n[DONE] Maj: {stats['updated']} | Inchanges: {stats['unchanged']} "
          f"| Hors base: {stats['no_server']}")


if __name__ == "__main__":
    main()