##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:
PRIJEM refers to incoming transactions; VYDAJ refers to outgoing transactions; net balance = total income - total expense; account activity is measured by transaction count

##Role Access Policy (Column-Level):
Role: DataOperator_1
Accessible Columns: account: date, district_id, frequency; card: ALL COLUMNS; disp: ALL COLUMNS; district: A10, A13, A14, A16, A2, A5, A6, A7, A9, district_id; loan: account_id, date, loan_id, status; order: account_id, account_to, amount, bank_to, k_symbol; trans: ALL COLUMNS

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: For client 3541, what are the complete financial details of all their accounts including region, loan information, transaction statistics, net balance, and how many other clients are in the same region, ordered by account activity?
Evidence: PRIJEM refers to incoming transactions; VYDAJ refers to outgoing transactions; net balance = total income - total expense; account activity is measured by transaction count
Answer: Sorry, I cannot answer.
Permission: denied (Missing column permissions: district: A3; account: account_id; client: client_id, district_id; loan: amount)
Gold SQL: WITH ClientRegionInfo AS (
    SELECT 
        c.client_id,
        d.district_id,
        d.A2 AS district_name,
        d.A3 AS region,
        d.A11 AS avg_salary,
        d.A12 AS unemployment_rate_1995
    FROM 
        client AS c
    INNER JOIN 
        district AS d ON c.district_id = d.district_id
    WHERE 
        c.client_id = 3541
),
ClientAccounts AS (
    SELECT 
        cri.client_id,
        cri.region,
        cri.district_name,
        a.account_id,
        a.frequency,
        a.date AS account_opening_date,
        CASE 
            WHEN l.loan_id IS NOT NULL THEN 'Yes'
            ELSE 'No'
        END AS has_loan,
        COALESCE(l.amount, 0) AS loan_amount,
        COALESCE(l.status, 'N/A') AS loan_status
    FROM 
        ClientRegionInfo cri
    INNER JOIN 
        disp AS d ON cri.client_id = d.client_id
    INNER JOIN 
        account AS a ON d.account_id = a.account_id
    LEFT JOIN 
        loan AS l ON a.account_id = l.account_id
),
TransactionStats AS (
    SELECT 
        ca.client_id,
        ca.region,
        ca.district_name,
        ca.account_id,
        COUNT(t.trans_id) AS transaction_count,
        SUM(CASE WHEN t.type = 'PRIJEM' THEN t.amount ELSE 0 END) AS total_income,
        SUM(CASE WHEN t.type = 'VYDAJ' THEN t.amount ELSE 0 END) AS total_expense,
        MAX(t.date) AS last_transaction_date,
        AVG(t.amount) AS avg_transaction_amount,
        ROW_NUMBER() OVER (PARTITION BY ca.client_id ORDER BY COUNT(t.trans_id) DESC) AS account_rank_by_activity
    FROM 
        ClientAccounts ca
    LEFT JOIN 
        trans AS t ON ca.account_id = t.account_id
    GROUP BY 
        ca.client_id, ca.region, ca.district_name, ca.account_id
)
SELECT 
    ts.region,
    ts.district_name,
    ts.account_id,
    ca.account_opening_date,
    ca.has_loan,
    ca.loan_amount,
    ca.loan_status,
    ts.transaction_count,
    ts.total_income,
    ts.total_expense,
    ts.total_income - ts.total_expense AS net_balance,
    ts.last_transaction_date,
    ts.avg_transaction_amount,
    (SELECT COUNT(DISTINCT c2.client_id) 
     FROM client c2 
     INNER JOIN district d2 ON c2.district_id = d2.district_id 
     WHERE d2.A3 = ts.region) AS clients_in_same_region
FROM 
    TransactionStats ts
INNER JOIN 
    ClientAccounts ca ON ts.account_id = ca.account_id
WHERE 
    ts.client_id = 3541
ORDER BY 
    ts.account_rank_by_activity;