##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:
Transaction date is 1998-10-14 and transaction amount is 840. Account owner refers 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: For the transaction of 840 on October 14, 1998, provide detailed information about the account including when it was opened, how long it had been open, the account owner's gender and age at the time, the total number of transactions up to that date, how many cards were issued, and whether the account had a loan before this transaction.
Evidence: Transaction date is 1998-10-14 and transaction amount is 840. Account owner refers to disposition type = 'OWNER'.
Answer: Sorry, I cannot answer.
Permission: denied (Missing column permissions: disp: A2, A3, account_id, client_id, disp_id, district_id, type; client: gender; card: disp_id; account: date)
Gold SQL: WITH TransactionDetails AS (
    SELECT 
        t.account_id,
        t.amount,
        t.date AS transaction_date,
        t.type,
        t.operation,
        t.balance,
        t.k_symbol,
        a.date AS account_opening_date,
        a.frequency,
        d.district_id,
        d.A2 AS district_name,
        d.A3 AS region,
        ROW_NUMBER() OVER (PARTITION BY t.account_id ORDER BY t.date) AS transaction_rank
    FROM trans t
    JOIN account a ON t.account_id = a.account_id
    JOIN district d ON a.district_id = d.district_id
    WHERE t.amount = 840 AND t.date = '1998-10-14'
),
AccountOwners AS (
    SELECT 
        disp.account_id,
        client.client_id,
        client.gender,
        client.birth_date,
        CASE
            WHEN client.gender = 'M' THEN 'Male'
            WHEN client.gender = 'F' THEN 'Female'
            ELSE 'Unknown'
        END AS gender_full,
        CAST(strftime('%Y', '1998-10-14') AS INTEGER) - CAST(strftime('%Y', client.birth_date) AS INTEGER) - 
            CASE 
                WHEN strftime('%m%d', '1998-10-14') < strftime('%m%d', client.birth_date) THEN 1 
                ELSE 0 
            END AS age_at_transaction,
        disp.type AS disposition_type
    FROM disp
    JOIN client ON disp.client_id = client.client_id
    WHERE disp.type = 'OWNER'
)

SELECT 
    td.account_id,
    td.account_opening_date,
    td.transaction_date,
    CAST(julianday(td.transaction_date) - julianday(td.account_opening_date) AS INTEGER) AS days_account_open_before_transaction,
    td.amount,
    td.balance,
    td.district_name,
    td.region,
    ao.client_id,
    ao.gender_full,
    ao.age_at_transaction,
    (SELECT COUNT(*) FROM trans WHERE account_id = td.account_id AND date <= td.transaction_date) AS total_transactions_to_date,
    (SELECT COUNT(*) FROM card c JOIN disp d ON c.disp_id = d.disp_id WHERE d.account_id = td.account_id) AS cards_issued,
    CASE 
        WHEN EXISTS (SELECT 1 FROM loan WHERE account_id = td.account_id AND date <= td.transaction_date) THEN 'Yes'
        ELSE 'No'
    END AS has_loan_before_transaction
FROM TransactionDetails td
LEFT JOIN AccountOwners ao ON td.account_id = ao.account_id
ORDER BY td.account_opening_date;