##Instruction:
Database: financial
Total Tables: 8
Total Columns: 55

Table Schemas:

Database: financial
Total Tables: 8
Total Columns: 55

Table Schemas:

Table: account (4 columns)
--------------------------
• account_id (integer): the id of the account
• district_id (integer): location of branch
• frequency (text): frequency of the acount
• date (date): the creation date of the account
  Values: in the form YYMMDD

Table: card (4 columns)
-----------------------
• card_id (integer): id number of credit card
• disp_id (integer): disposition id
• type (text): type of credit card
  Values: "junior": junior class of credit card; 
"classic": standard class of credit card; 
"gold": high-leve...
• issued (date): the date when the credit card issued
  Values: in the form YYMMDD

Table: client (4 columns)
-------------------------
• client_id (integer): the unique number
• gender (text)
  Values: F：female 
M：male
• birth_date (date): birth date
• district_id (integer): location of branch

Table: disp (4 columns)
-----------------------
• disp_id (integer): unique number of identifying this row of record
• client_id (integer): id number of client
• account_id (integer): id number of account
• type (text): type of disposition
  Values: "OWNER" : "USER" : "DISPONENT"
commonsense evidence:
the account can only have the right to issue pe...

Table: district (16 columns)
----------------------------
• district_id (integer): location of branch
• A2 (text): district_name
• A3 (text): region
• A4 (text)
• A5 (text): municipality < district < region
• A6 (text): municipality < district < region
• A7 (text): municipality < district < region
• A8 (integer): municipality < district < region
• A9 (integer)
  Values: not useful
• A10 (real): ratio of urban inhabitants
• A11 (integer): average salary
• A12 (real): unemployment rate 1995
• A13 (real): unemployment rate 1996
• A14 (integer): no. of entrepreneurs per 1000 inhabitants
• A15 (integer): no. of committed crimes 1995
• A16 (integer): no. of committed crimes 1996

Table: loan (7 columns)
-----------------------
• loan_id (integer): the id number identifying the loan data
• account_id (integer): the id number identifying the account
• date (date): the date when the loan is approved
• amount (integer): approved amount
  Values: unit：US dollar
• duration (integer): loan duration
  Values: unit：month
• payments (real): monthly payments
  Values: unit：month
• status (text): repayment status
  Values: 'A' stands for contract finished, no problems;
'B' stands for contract finished, loan not paid;
'C' ...

Table: order (6 columns)
------------------------
• order_id (integer): identifying the unique order
• account_id (integer): id number of account
• bank_to (text): bank of the recipient
• account_to (integer): account of the recipient
  Values: each bank has unique two-letter code
• amount (real): debited amount
• k_symbol (text): purpose of the payment
  Values: "POJISTNE" stands for insurance payment
"SIPO" stands for household payment
"LEASING" stands for lea...

Table: trans (10 columns)
-------------------------
• trans_id (integer): transaction id
• account_id (integer)
• date (date): date of transaction
• type (text): +/- transaction
  Values: "PRIJEM" stands for credit
"VYDAJ" stands for withdrawal
• operation (text): mode of transaction
  Values: "VYBER KARTOU": credit card withdrawal
"VKLAD": credit in cash
"PREVOD Z UCTU" :collection from anot...
• amount (integer): amount of money
  Values: Unit：USD
• balance (integer): balance after transaction
  Values: Unit：USD
• k_symbol (text)
  Values: "POJISTNE": stands for insurrance payment
"SLUZBY": stands for payment for statement
"UROK": stands ...
• bank (text)
  Values: each bank has unique two-letter code
• account (integer)

##Evidence:
Active loans refer to status = 'A'; PRIJEM refers to deposits; VYDAJ refers to withdrawals; account owners refer to disposition type = 'OWNER'

##Role Access Policy (Column-Level):
Role: RiskAnalyst
Accessible Columns: account: account_id, district_id, frequency; client: client_id, birth_date, district_id; district: ALL COLUMNS; loan: loan_id, account_id, date, amount, duration, payments, status; trans: account_id, date, type, operation, amount, balance, k_symbol

Based on the above schema and your role's column-level access policy, generate a SQL query to answer the question. If your role does not have access to the required columns, respond with: "Sorry, I cannot answer."


Question: What is the comprehensive financial profile of all accounts in the Pisek district, including the total number of accounts, average transactions per account, total deposits and withdrawals, average maximum balance, total credit cards issued, total loans issued, percentage of active loan amounts, and number of unique account owners?
Evidence: Active loans refer to status = 'A'; PRIJEM refers to deposits; VYDAJ refers to withdrawals; account owners refer to disposition type = 'OWNER'
Answer: Sorry, I cannot answer.
Permission: denied (Missing column permissions: trans: account, bank, trans_id; disp: account_id, client_id, disp_id, type; client: gender; card: card_id, disp_id, issued, type; account: date)
Gold SQL: WITH PisekAccounts AS (
    SELECT 
        a.account_id, 
        a.district_id,
        a.frequency,
        a.date,
        d.A2 AS district_name
    FROM account AS a
    INNER JOIN district AS d ON a.district_id = d.district_id
    WHERE d.A2 = 'Pisek'
),
AccountStats AS (
    SELECT 
        pa.account_id,
        COUNT(DISTINCT t.trans_id) AS transaction_count,
        SUM(CASE WHEN t.type = 'PRIJEM' THEN t.amount ELSE 0 END) AS total_deposits,
        SUM(CASE WHEN t.type = 'VYDAJ' THEN t.amount ELSE 0 END) AS total_withdrawals,
        MAX(t.balance) AS max_balance,
        COUNT(DISTINCT c.card_id) AS card_count
    FROM PisekAccounts pa
    LEFT JOIN trans t ON pa.account_id = t.account_id
    LEFT JOIN disp d ON pa.account_id = d.account_id
    LEFT JOIN card c ON d.disp_id = c.disp_id
    GROUP BY pa.account_id
),
LoanInfo AS (
    SELECT
        pa.account_id,
        COUNT(l.loan_id) AS loan_count,
        SUM(l.amount) AS total_loan_amount,
        SUM(CASE WHEN l.status = 'A' THEN l.amount ELSE 0 END) AS active_loan_amount,
        AVG(l.duration) AS avg_loan_duration
    FROM PisekAccounts pa
    LEFT JOIN loan l ON pa.account_id = l.account_id
    GROUP BY pa.account_id
)
SELECT 
    COUNT(pa.account_id) AS total_pisek_accounts,
    AVG(ast.transaction_count) AS avg_transactions_per_account,
    SUM(ast.total_deposits) AS total_deposits_all_accounts,
    SUM(ast.total_withdrawals) AS total_withdrawals_all_accounts,
    AVG(ast.max_balance) AS avg_max_balance,
    SUM(ast.card_count) AS total_cards_issued,
    SUM(li.loan_count) AS total_loans_issued,
    SUM(li.active_loan_amount) / CASE WHEN SUM(li.total_loan_amount) = 0 THEN 1 ELSE SUM(li.total_loan_amount) END * 100 AS percent_active_loans,
    (SELECT COUNT(DISTINCT c.client_id) 
     FROM PisekAccounts pa 
     JOIN disp d ON pa.account_id = d.account_id 
     JOIN client c ON d.client_id = c.client_id
     WHERE d.type = 'OWNER') AS unique_account_owners
FROM PisekAccounts pa
LEFT JOIN AccountStats ast ON pa.account_id = ast.account_id
LEFT JOIN LoanInfo li ON pa.account_id = li.account_id;