lenovo

PSA/01 PSA.py

@@ -1,11 +1,11 @@
-import firebirdsql as fb
+import firebirdsql as fb,os
 import pandas as pd
 
 # TCP to the Firebird 2.5 server. Use the DB path as seen by the *server* (Windows path).
 conn = fb.connect(
-    host="192.168.1.4",
+    host="192.168.1.10",
     port=3050,
-    database=r"z:\Medicus 3\data\MEDICUS.FDB",  # raw string for backslashes
+    database=r"m:\Medicus\data\MEDICUS.FDB",  # raw string for backslashes
     user="SYSDBA",
     password="masterkey",
     charset="WIN1250",  # adjust if needed
@@ -49,7 +49,7 @@ SELECT
     FROM dokladd dd
     WHERE dd.rodcis = kar.rodcis
       AND (dd.kod = '01130' or dd.kod = '01131' OR dd.kod = '01132' OR dd.kod = '01133' OR dd.kod = '01134')
-      AND dd.datose BETWEEN vh.datum - 7 AND vh.datum + 7
+      AND dd.datose BETWEEN vh.datum - 365 AND vh.datum + 365
   ) AS vykodovano,
    lm.kodtext,
   lm.nazev,
@@ -119,11 +119,23 @@ from openpyxl.formatting.rule import ColorScaleRule
 from openpyxl.styles import PatternFill
 from openpyxl.formatting.rule import FormulaRule
 
-# ---- 1) Build timestamped output path ----
+
-base_path = Path("u:\Dropbox\!!!Days\Downloads Z230")
+base_path = Path(r"z:\Dropbox\Ordinace\Reporty")
-base_path.mkdir(parents=True, exist_ok=True)  # ensure folder exists
+base_path.mkdir(parents=True, exist_ok=True)
-timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+
-output_file = base_path / f"lab_results_2025_{timestamp}.xlsx"
+# ================= DELETE OLD PSA REPORTS ==================
+for fname in os.listdir(base_path):
+    if fname.endswith("PSA report.xlsx"):
+        try:
+            os.remove(base_path / fname)
+            print(f"🗑️ Deleted old PSA report: {fname}")
+        except Exception as e:
+            print(f"⚠️ Could not delete {fname}: {e}")
+
+# ================= CREATE NEW FILENAME ==================
+timestamp = datetime.now().strftime("%Y-%m-%d %H-%M-%S")
+output_file = base_path / f"{timestamp} PSA report.xlsx"
+print(f"📄 New PSA report will be saved as: {output_file}")
 
 # ---- 2) Export DataFrame to Excel ----
 # Assumes df_direct already exists (your joined query result)

PSA/Reporter PSA.py

@@ -0,0 +1,212 @@
+import firebirdsql as fb,os
+import pandas as pd
+
+# TCP to the Firebird 2.5 server. Use the DB path as seen by the *server* (Windows path).
+conn = fb.connect(
+    host="192.168.1.10",
+    port=3050,
+    database=r"m:\Medicus\data\MEDICUS.FDB",  # raw string for backslashes
+    user="SYSDBA",
+    password="masterkey",
+    charset="WIN1250",  # adjust if needed
+)
+
+# Tiny helper to fetch directly into DataFrame (avoids the pandas/SQLAlchemy warning)
+def query_df(sql, params=None):
+    cur = conn.cursor()
+    cur.execute(sql, params or ())
+    rows = cur.fetchall()
+    cols = [d[0].strip() for d in cur.description]  # Firebird pads column names
+    return pd.DataFrame(rows, columns=cols)
+
+# Smoke test
+print(query_df("SELECT 1 AS ONE FROM RDB$DATABASE"))
+
+# Your table
+df = query_df("SELECT FIRST 100 * FROM kar")
+print(df)
+
+
+
+from datetime import datetime
+start = datetime(2025, 1, 1)
+end   = datetime(2026, 1, 1)
+
+sql = """
+SELECT
+  /*vh.idvh,*/
+  vh.idpacient,
+  kar.prijmeni,
+  kar.jmeno,
+  kar.rodcis,
+  vh.datum,
+  /*vh.idhodn,*/
+  /*vd.poradi,*/
+  /*vd.idmetod,*/
+/* NEW: list of matching dokladd entries within ±7 days, one cell */
+  (
+    SELECT LIST(CAST(dd.datose AS VARCHAR(10)) || ' ' || dd.kod, ', ')
+    FROM dokladd dd
+    WHERE dd.rodcis = kar.rodcis
+      AND (dd.kod = '01130' or dd.kod = '01131' OR dd.kod = '01132' OR dd.kod = '01133' OR dd.kod = '01134')
+      AND dd.datose BETWEEN vh.datum - 7 AND vh.datum + 7
+  ) AS vykodovano,
+   lm.kodtext,
+  lm.nazev,
+  vd.vysl,
+  lj.jedn,
+  ls.normdol,
+  ls.normhor
+FROM labvh vh
+JOIN labvd vd        ON vd.idvh = vh.idvh
+JOIN kar             ON kar.idpac = vh.idpacient
+JOIN labmetod lm     ON lm.idmetod = vd.idmetod
+JOIN labjedn lj      ON lj.idjedn = vd.idjedn
+JOIN labskaly ls     ON ls.idskaly = vd.idskaly
+WHERE vh.datum >= ?
+  AND vh.datum < ?
+  AND lm.nazev CONTAINING 'PSA'
+/*ORDER BY kar.idpac, vh.datum, vd.poradi;*/
+ORDER BY vh.datum desc;
+"""
+
+df_direct = query_df(sql, (start, end))
+
+import re
+import numpy as np
+
+# --- 0) Helper: parse numeric value from string like "5,6", "<0.1", "3.2 mmol/L" ---
+num_re = re.compile(r'[-+]?\d+(?:[.,]\d+)?(?:[eE][-+]?\d+)?')
+
+def to_num(x):
+    if x is None:
+        return np.nan
+    s = str(x).strip()
+    if not s:
+        return np.nan
+    m = num_re.search(s.replace('\u00A0', ' '))  # remove NBSP if any
+    if not m:
+        return np.nan
+    val_str = m.group(0).replace(',', '.')
+    try:
+        val = float(val_str)
+    except ValueError:
+        return np.nan
+    # Heuristic for qualifiers:
+    # "<x" -> take half of x (below detection limit), ">x" -> take x (at least)
+    if s.lstrip().startswith('<'):
+        return val * 0.5
+    if s.lstrip().startswith('>'):
+        return val
+    return val
+
+# --- 1) Prepare numeric columns + ratio in pandas before export ---
+# Assumes df_direct exists with columns 'VYSL' and 'NORMHOR' (case per your SELECT)
+df_direct["VYSL_NUM"] = df_direct["VYSL"].apply(to_num)
+df_direct["NORMHOR_NUM"] = df_direct["NORMHOR"].apply(to_num)
+
+# Avoid division by zero/NaN
+den = df_direct["NORMHOR_NUM"].replace(0, np.nan)
+df_direct["RATIO"] = (df_direct["VYSL_NUM"] / den).clip(lower=0)  # can exceed 1 if over ULN
+
+
+from datetime import datetime
+from pathlib import Path
+from openpyxl import load_workbook
+from openpyxl.utils import get_column_letter
+from openpyxl.styles import Alignment, Border, Side
+from openpyxl.formatting.rule import ColorScaleRule
+from openpyxl.styles import PatternFill
+from openpyxl.formatting.rule import FormulaRule
+
+
+base_path = Path(r"z:\Dropbox\Ordinace\Reporty")
+base_path.mkdir(parents=True, exist_ok=True)
+
+# ================= DELETE OLD PSA REPORTS ==================
+for fname in os.listdir(base_path):
+    if fname.endswith("PSA report.xlsx"):
+        try:
+            os.remove(base_path / fname)
+            print(f"🗑️ Deleted old PSA report: {fname}")
+        except Exception as e:
+            print(f"⚠️ Could not delete {fname}: {e}")
+
+# ================= CREATE NEW FILENAME ==================
+timestamp = datetime.now().strftime("%Y-%m-%d %H-%M-%S")
+output_file = base_path / f"{timestamp} PSA report.xlsx"
+print(f"📄 New PSA report will be saved as: {output_file}")
+
+# ---- 2) Export DataFrame to Excel ----
+# Assumes df_direct already exists (your joined query result)
+df_direct.to_excel(output_file, index=False, sheet_name="PSA")
+
+# ---- 3) Open with openpyxl for formatting ----
+wb = load_workbook(output_file)
+ws = wb["PSA"]
+
+# Auto width for columns
+for col in ws.columns:
+    max_len = 0
+    col_letter = get_column_letter(col[0].column)
+    for cell in col:
+        try:
+            if cell.value is not None:
+                max_len = max(max_len, len(str(cell.value)))
+        except Exception:
+            pass
+    ws.column_dimensions[col_letter].width = min(max_len + 2, 50)  # cap width
+
+# Thin border style
+thin_border = Border(
+    left=Side(style="thin"),
+    right=Side(style="thin"),
+    top=Side(style="thin"),
+    bottom=Side(style="thin"),
+)
+
+# Apply borders to all cells and center A, B, E
+for row in ws.iter_rows(min_row=1, max_row=ws.max_row, min_col=1, max_col=ws.max_column):
+    for cell in row:
+        cell.border = thin_border
+        if cell.column_letter in ["A", "B", "E"]:
+            cell.alignment = Alignment(horizontal="center")
+
+# Enable filter on header row and freeze it
+ws.auto_filter.ref = ws.dimensions
+ws.freeze_panes = "A2"
+
+
+# map headers
+hdr = {c.value: i+1 for i, c in enumerate(ws[1])}
+vysl_idx  = hdr.get("VYSL")
+ratio_idx = hdr.get("RATIO")
+if not (vysl_idx and ratio_idx):
+    raise RuntimeError("Missing required columns: VYSL and/or RATIO")
+
+vysl_col  = get_column_letter(vysl_idx)
+ratio_col = get_column_letter(ratio_idx)
+max_row   = ws.max_row
+rng_vysl  = f"{vysl_col}2:{vysl_col}{max_row}"
+
+green  = PatternFill(start_color="63BE7B", end_color="63BE7B", fill_type="solid")
+yellow = PatternFill(start_color="FFEB84", end_color="FFEB84", fill_type="solid")
+red    = PatternFill(start_color="F8696B", end_color="F8696B", fill_type="solid")
+
+# Non-overlapping rules; stop when one matches
+ws.conditional_formatting.add(
+    rng_vysl,
+    FormulaRule(formula=[f"${ratio_col}2<=0.80"], fill=green,  stopIfTrue=True)
+)
+ws.conditional_formatting.add(
+    rng_vysl,
+    FormulaRule(formula=[f"AND(${ratio_col}2>0.80, ${ratio_col}2<1)"], fill=yellow, stopIfTrue=True)
+)
+ws.conditional_formatting.add(
+    rng_vysl,
+    FormulaRule(formula=[f"${ratio_col}2>=1"], fill=red,      stopIfTrue=True)
+)
+
+
+wb.save(output_file)
+print(f"Saved: {output_file}")

Vakcíny/12 Vakcina na samostatnych listech.py

@@ -3,23 +3,23 @@
 
 from pathlib import Path
 import time
-import fdb
+import firebirdsql as fb
 import pandas as pd
 import re
 from openpyxl import load_workbook
 from openpyxl.worksheet.table import Table, TableStyleInfo
 from openpyxl.styles import Font, PatternFill, Alignment
 from openpyxl.utils import get_column_letter
-from Functions import get_medicus_connection
+# from Functions import get_medicus_connection
 
 # ================== Výstupní cesta ==================
 BASE_DIR = Path(r"z:\Dropbox\Ordinace\Reporty")  # uprav dle potřeby
 timestamp = time.strftime("%Y-%m-%d %H-%M-%S")
-xlsx_name = f"Pacienti očkování {timestamp}.xlsx"
+xlsx_name = f"{timestamp} Očkování report.xlsx"
 xlsx_path = BASE_DIR / xlsx_name
 
 # ================== Smazání starých souborů ==================
-for old_file in BASE_DIR.glob("Pacienti očkování *.xlsx"):
+for old_file in BASE_DIR.glob("*očkování report.xlsx"):
     try:
         if old_file != xlsx_path:  # skip the file we’re about to create
             old_file.unlink()
@@ -39,7 +39,15 @@ SHEETS = {
 }
 
 # ================== Připojení k DB ==================
-con = get_medicus_connection()
+# con = get_medicus_connection()
+con = fb.connect(
+    host="192.168.1.10",
+    port=3050,
+    database=r"m:\Medicus\data\MEDICUS.FDB",  # raw string for backslashes
+    user="SYSDBA",
+    password="masterkey",
+    charset="WIN1250",  # adjust if needed
+)
 # ================== SQL dotaz ==================
 sql = """
 SELECT

Vakcíny/Reporter Očkování report.py

@@ -0,0 +1,168 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+from pathlib import Path
+import time
+import firebirdsql as fb
+import pandas as pd
+import re
+from openpyxl import load_workbook
+from openpyxl.worksheet.table import Table, TableStyleInfo
+from openpyxl.styles import Font, PatternFill, Alignment
+from openpyxl.utils import get_column_letter
+# from Functions import get_medicus_connection
+
+# ================== Výstupní cesta ==================
+BASE_DIR = Path(r"z:\Dropbox\Ordinace\Reporty")  # uprav dle potřeby
+timestamp = time.strftime("%Y-%m-%d %H-%M-%S")
+xlsx_name = f"{timestamp} Očkování report.xlsx"
+xlsx_path = BASE_DIR / xlsx_name
+
+# ================== Smazání starých souborů ==================
+for old_file in BASE_DIR.glob("*očkování report.xlsx"):
+    try:
+        if old_file != xlsx_path:  # skip the file we’re about to create
+            old_file.unlink()
+            print(f"Smazán starý soubor: {old_file.name}")
+    except Exception as e:
+        print(f"⚠️ Nelze smazat {old_file.name}: {e}")
+
+# ================== Definice skupin vakcín ==================
+SHEETS = {
+    "COVID-19": ["commirnaty", "spikevax", "nuvaxovid"],
+    "Chřipka": ["vaxigrip", "influvac", "fluarix", "afluria"],
+    "Klíšťová encefalitida": ["fsme", "encepur"],
+    "Tetanus": ["tetavax", "boostrix", "adacel"],
+    "HepA": ["avaxim", "havrix","vaqta"],
+    "HepB": ["engerix"],
+    "HepA+B": ["twinrix"],
+}
+
+# ================== Připojení k DB ==================
+# con = get_medicus_connection()
+con = fb.connect(
+    host="192.168.1.10",
+    port=3050,
+    database=r"m:\Medicus\data\MEDICUS.FDB",  # raw string for backslashes
+    user="SYSDBA",
+    password="masterkey",
+    charset="WIN1250",  # adjust if needed
+)
+# ================== SQL dotaz ==================
+sql = """
+SELECT
+    kar.rodcis    AS "Rodné číslo",
+    kar.prijmeni  AS "Příjmení",
+    kar.jmeno     AS "Jméno",
+    ockzaz.datum  AS "Datum očkování",
+    ockzaz.kodmz  AS "Kód MZ",
+    ockzaz.poznamka AS "Šarže",
+    ockzaz.latka  AS "Látka",
+    ockzaz.nazev  AS "Název",
+    ockzaz.expire AS "Expirace",
+    (
+      SELECT LIST(l.kod, ', ')
+      FROM lecd l
+      WHERE l.rodcis = kar.rodcis
+        AND l.datose = CAST(ockzaz.datum AS DATE)
+    ) AS "LECD kódy (ten den)",
+    (
+      SELECT LIST(d.kod, ', ')
+      FROM dokladd d
+      WHERE d.rodcis = kar.rodcis
+        AND d.datose = CAST(ockzaz.datum AS DATE)
+    ) AS "Výkony (ten den)"
+FROM registr
+JOIN kar     ON registr.idpac = kar.idpac
+JOIN ockzaz  ON registr.idpac = ockzaz.idpac
+WHERE
+    registr.datum_zruseni IS NULL
+    AND kar.vyrazen <> 'A'
+    AND kar.rodcis IS NOT NULL
+    AND idicp <> 0
+    AND EXTRACT(YEAR FROM ockzaz.datum) = 2025
+ORDER BY ockzaz.datum DESC
+"""
+
+# ================== Načtení do DataFrame ==================
+df = pd.read_sql(sql, con)
+con.close()
+
+# ================== Datové typy ==================
+for col in ["Kód MZ", "Šarže", "Rodné číslo", "Látka", "Název", "Příjmení", "Jméno", "LECD kódy", "Výkony"]:
+    if col in df.columns:
+        df[col] = df[col].astype("string")
+
+for dcol in ["Datum očkování", "Expirace"]:
+    if dcol in df.columns:
+        df[dcol] = pd.to_datetime(df[dcol], errors="coerce")
+
+# ================== Uložení do Excelu – více listů ==================
+with pd.ExcelWriter(xlsx_path, engine="openpyxl") as writer:
+    for sheet_name, vakciny in SHEETS.items():
+        pattern = "|".join(re.escape(v) for v in vakciny if v)
+        mask = df["Látka"].astype(str).str.contains(pattern, case=False, na=False)
+        df_filtered = df[mask]
+        if not df_filtered.empty:
+            df_filtered.to_excel(writer, index=False, sheet_name=sheet_name)
+    # navíc celkový přehled všech očkování
+    df.to_excel(writer, index=False, sheet_name="Vše")
+
+# ================== Formátování ==================
+wb = load_workbook(xlsx_path)
+
+def autosize_columns(ws):
+    for col_idx in range(1, ws.max_column + 1):
+        col_letter = get_column_letter(col_idx)
+        max_len = 0
+        for cell in ws[col_letter]:
+            val = "" if cell.value is None else str(cell.value)
+            if len(val) > max_len:
+                max_len = len(val)
+        ws.column_dimensions[col_letter].width = min(max(12, max_len + 2), 60)
+
+def safe_table_name(sheet_name):
+    """Return an Excel-safe, unique table name."""
+    name = re.sub(r"[^0-9A-Za-z_]", "_", sheet_name)
+    return f"tbl_{name[:25]}"
+
+def style_table(ws):
+    max_row = ws.max_row
+    max_col = ws.max_column
+    if max_col == 0:
+        return
+
+    header_fill = PatternFill("solid", fgColor="D9E1F2")
+    for cell in ws[1]:
+        cell.font = Font(bold=True)
+        cell.fill = header_fill
+        cell.alignment = Alignment(vertical="center")
+
+    ws.freeze_panes = "A2"
+
+    if max_row < 2:
+        autosize_columns(ws)
+        return
+
+    ref = f"A1:{get_column_letter(max_col)}{max_row}"
+    tbl = Table(displayName=safe_table_name(ws.title), ref=ref)
+    tbl.tableStyleInfo = TableStyleInfo(
+        name="TableStyleMedium9", showRowStripes=True, showColumnStripes=False
+    )
+    ws.add_table(tbl)
+    autosize_columns(ws)
+
+def format_dates(ws, columns_names):
+    header = [c.value for c in ws[1]]
+    date_cols = [header.index(name) + 1 for name in columns_names if name in header]
+    for col_idx in date_cols:
+        for row in ws.iter_rows(min_row=2, min_col=col_idx, max_col=col_idx, max_row=ws.max_row):
+            row[0].number_format = "DD.MM.YYYY"
+
+for ws in wb.worksheets:
+    style_table(ws)
+    format_dates(ws, ["Datum očkování", "Expirace"])
+
+wb.save(xlsx_path)
+
+print(f"✅ Hotovo. Uloženo do: {xlsx_path.resolve()}")