janssen/Feasibility/TRASH/illuminator_gap_v1.0.py

# -*- coding: utf-8 -*-
# =============================================================================
# Nazev:   illuminator_gap_v1.0.py
# Verze:   1.0
# Datum:   2026-06-12
# Popis:   Porovna Illuminator export (SDL_export.xlsx, filtr UCO3002 CZ+SK)
#          s aktualnim stavem Mongo feasibility.investigators (pole KROK) a
#          vypise nesoulady ke korekci v Illuminatoru:
#            A) Illuminator zaostava za nasim postupem (posunout vys)
#            B) odmitnuti / "nechceme" nepromitnuta (terminalni status)
#            C) v Mongo aktivni, ale chybi v exportu (zalozit/overit)
#            + v souladu
#          Match primarne podle e-mailu, fallback prijmeni+jmeno (bez diakritiky).
# Pouziti: python illuminator_gap_v1.0.py
# =============================================================================
import sys
import unicodedata
import openpyxl
from pymongo import MongoClient

XLSX = r"U:\Dropbox\!!!Days\Downloads Z230\SDL_export.xlsx"
MONGO_URI = "mongodb://192.168.1.76:27017"

# KROK -> (cilovy Illuminator status, rank, je_terminalni)
FUNNEL_RANK = {
    "Recommended for Assessment": 1,
    "Recommended for SipIQ": 2,
    "SIPIQ Link Generated": 3,
    "Email Sent": 4,
    "SIPIQ Submitted": 5,
    "Recommended for SQV": 6,
    "Recommended for Selection": 7,
    "Selected": 8,
}
KROK_TARGET = {
    "1 - nabidka odeslana":            ("Recommended for Assessment", False),
    "2 - nabidka pripomenuta":         ("Recommended for Assessment", False),
    "3.1 - odpovedel: ma zajem":       ("Recommended for SipIQ", False),
    "4 - zajem, CDA vyzadano":         ("Recommended for SipIQ", False),
    "5 - CDA podepsano":               ("Recommended for SipIQ", False),
    "6 - SIPIQ odeslan":               ("Email Sent", False),
    "7 - SIPIQ vyplneny":              ("SIPIQ Submitted", False),
    "3.2 - odpovedel: nema zajem":     ("Not Interested", True),
    "0 - nechceme (nase rozhodnuti)":  ("Not Recommended", True),
    "0 - mimo (nedoruceno/neplatny kontakt)": ("Not Recommended / No Response", True),
}


RANK_LOWER = {k.lower(): v for k, v in FUNNEL_RANK.items()}


def rank_of(status):
    return RANK_LOWER.get((status or "").strip().lower(), 0)


def norm(s):
    s = (s or "").strip()
    s = unicodedata.normalize("NFKD", s)
    s = "".join(c for c in s if not unicodedata.combining(c))
    return " ".join(s.lower().split())


def load_export():
    wb = openpyxl.load_workbook(XLSX, read_only=True)
    ws = wb.active
    rows = list(ws.iter_rows(values_only=True))
    header = rows[2]
    idx = {h: i for i, h in enumerate(header) if h}
    out = []
    for r in rows[3:]:
        if not any(r):
            continue
        rec = {
            "last": (r[idx["PI Last Name"]] or "").strip(),
            "first": (r[idx["PI First Name"]] or "").strip(),
            "email": (r[idx["PI Email Address"]] or "").strip(),
            "status": (r[idx["Feasibility Status in Site Funnel"]] or "").strip(),
            "reason": (r[idx["Reason Code"]] or "").strip(),
            "site": (r[idx["Site Name"]] or "").strip(),
            "city": (r[idx["Site City"]] or "").strip(),
            "country": (r[idx["Country/Territory"]] or "").strip(),
            "regdate": r[idx["Regulatory Check Complete Date"]],
        }
        out.append(rec)
    return out


def load_mongo():
    cli = MongoClient(MONGO_URI)
    col = cli["feasibility"]["investigators"]
    return list(col.find({}, {"prijmeni": 1, "jmeno": 1, "email": 1,
                              "KROK": 1, "STATUS": 1, "zeme": 1}))


def main():
    exp = load_export()
    inv = load_mongo()

    by_email = {}
    by_name = {}
    for e in exp:
        if e["email"]:
            by_email[norm(e["email"])] = e
        by_name[(norm(e["last"]), norm(e["first"]))] = e

    matched_exp = set()
    A, B, sync, Cmiss = [], [], [], []

    for d in inv:
        krok = d.get("KROK", "")
        tgt = KROK_TARGET.get(krok)
        last = norm(d.get("prijmeni"))
        first = norm(d.get("jmeno"))
        email = norm(d.get("email"))
        e = by_email.get(email) or by_name.get((last, first))
        name = f"{d.get('prijmeni','')} {d.get('jmeno','')}".strip()

        if not e:
            Cmiss.append((d, krok, tgt))
            continue
        matched_exp.add(id(e))
        cur = e["status"]
        if tgt is None:
            continue
        target_status, terminal = tgt
        if terminal:
            # mel by byt terminalni; pokud Illuminator stale v aktivnim funnelu -> B
            if rank_of(cur) > 0:
                B.append((d, krok, e, target_status))
            else:
                sync.append((name, krok, cur))
        else:
            tr = FUNNEL_RANK[target_status]
            cr = rank_of(cur)  # 0 = neni v aktivnim funnelu (napr. terminalni)
            if cr < tr:
                A.append((d, krok, e, target_status))
            else:
                sync.append((name, krok, cur))

    # export radky bez Mongo protejsku (info)
    exp_unmatched = [e for e in exp if id(e) not in matched_exp]

    # duplicity v exportu (stejny email nebo stejne jmeno vicekrat)
    from collections import Counter
    cnt_email = Counter(norm(e["email"]) for e in exp if e["email"])
    cnt_name = Counter((norm(e["last"]), norm(e["first"])) for e in exp)
    dup_rows = []
    for e in exp:
        if (e["email"] and cnt_email[norm(e["email"])] > 1) or \
           cnt_name[(norm(e["last"]), norm(e["first"]))] > 1:
            dup_rows.append(e)

    def pname(d):
        return f"{d.get('prijmeni','')} {d.get('jmeno','')}".strip()

    print("=" * 70)
    print(f"EXPORT radku: {len(exp)} | Mongo investigatoru: {len(inv)}")
    print(f"A (zaostava): {len(A)} | B (odmitnuti neprom.): {len(B)} | "
          f"C (chybi v exportu): {len(Cmiss)} | v souladu: {len(sync)}")
    print(f"export radku bez Mongo protejsku: {len(exp_unmatched)}")
    print("=" * 70)

    print("\n### A) ILLUMINATOR ZAOSTAVA (posunout vys) ###")
    for d, krok, e, tgt in sorted(A, key=lambda x: x[1]):
        print(f"- {pname(d):28} | KROK {krok:32} | now: {e['status']:30} -> {tgt}")

    print("\n### B) ODMITNUTI / NECHCEME nepromitnuta (terminalni) ###")
    for d, krok, e, tgt in sorted(B, key=lambda x: x[1]):
        print(f"- {pname(d):28} | KROK {krok:32} | now: {e['status']:30} -> {tgt}")

    print("\n### C) V MONGO, CHYBI V EXPORTU (podle KROK) ###")
    from collections import defaultdict
    cg = defaultdict(list)
    for d, krok, tgt in Cmiss:
        cg[krok].append(pname(d) + f" [{d.get('zeme','')}]")
    for krok in sorted(cg):
        print(f"\n  -- {krok} ({len(cg[krok])}):")
        for n in sorted(cg[krok]):
            print(f"     {n}")

    print("\n### V SOULADU ###")
    for name, krok, cur in sorted(sync, key=lambda x: x[1]):
        print(f"- {name:28} | KROK {krok:32} | {cur}")

    print("\n### EXPORT radky bez Mongo protejsku (k overeni) ###")
    for e in exp_unmatched:
        print(f"- {e['last']} {e['first']} | {e['email']} | {e['status']} | {e['site']} ({e['city']})")

    print("\n### DUPLICITNI RADKY V EXPORTU (uklidit) ###")
    for e in sorted(dup_rows, key=lambda x: (norm(x['last']), norm(x['first']))):
        print(f"- {e['last']} {e['first']} | {e['email']} | {e['status']} | {e['site']} ({e['city']})")


if __name__ == "__main__":
    main()