what were the number of matters created practice wise and location wise since April 2025

Instruction:
### Guidelines

1. **Interpret User Intent**
   - **Measures:** Number of matters created (COUNT of Matter/Case/File).
   - **Dimensions:** Practice Area (PAName or Practice Area), Location (Location or Office).
   - **Temporal Intent:** "since April 2025" → include all data from April 2025 onwards (`(Year = 2025 AND Month >= 4) OR (Year > 2025)`).
   - **Default Date Basis:** Financial Year (Apr–Mar, India).

2. **Table Selection**
   - Use tables that contain both Practice Area and Location, and a matter identifier.
   - Recommended:
     - `db_owner.NLP_IR_RaisedExcelTracker_tbl` (has PAName, Location, Matter)
     - `db_owner.NLP_IR_WIPExcelTracker_tbl` and `db_owner.NLP_IR_LocationwiseWIPExcelTracker_tbl` also have PAName/Office/Matter.

3. **Column Selection**
   - For Practice Area: use `[PAName]`.
   - For Location: use `[Location]` or `[Office]`.
   - For Matter: use `[Matter]` (not IDs).

4. **Aggregation Logic**
   - Count distinct matters per Practice Area and Location.
   - Use `COUNT(DISTINCT [Matter])` for number of matters.
   - Group by `[PAName]` and `[Location]`.

5. **Business Rules Compliance**
   - **SrNo:** Add sequential numbering using `ROW_NUMBER() OVER(...) AS SrNo`.
   - **Currency:** Not required (count, not monetary).
   - **Friendly Headers:** Use "Practice Area", "Location", "Number of Matters".
   - **Verbose Steps:** Add debug markers in comments.
   - **Progress Indicators:** Add comments for each step.
   - **Time Window:** Filter for April 2025 onwards.
   - **Entity Names:** Show names, not IDs.
   - **Null/Zero Handling:** If no data, explain why.
   - **Label Time Units:** Not needed (count, not time).

6. **Output Format**
   - Present results with SrNo, Practice Area, Location, Number of Matters.
   - End with a plain-English explanation.

---

### Sample SQL Server Query

```sql
-- Step 1: Interpret user intent (Practice Area, Location, Matters since Apr 2025)
-- Step 2: Validate schema and select appropriate table (NLP_IR_RaisedExcelTracker_tbl)
-- Step 3: Build SQL with aggregation and sequential numbering

SELECT
    ROW_NUMBER() OVER (ORDER BY COUNT(DISTINCT [Matter]) DESC) AS SrNo, -- Sequential numbering
    [PAName] AS [Practice Area],                                         -- Friendly header
    [Location] AS [Location],                                            -- Friendly header
    COUNT(DISTINCT [Matter]) AS [Number of Matters]                      -- Count of matters
FROM
    db_owner.NLP_IR_RaisedExcelTracker_tbl
WHERE
    (
        ([Year] = 2025 AND [Month] >= 4)     -- Since April 2025
        OR ([Year] > 2025)
    )
GROUP BY
    [PAName], [Location]
ORDER BY
    [Number of Matters] DESC;

-- Step 4: Output explanation and suggestions

/*
Explanation:
This query shows, for each Practice Area and Location, the number of unique matters created since April 2025 (i.e., from April 2025 onwards, based on Financial Year Apr–Mar).
"SrNo" is a sequential row number for easy reference.
If the result is empty or zero, it likely means no matters were created in any practice area or location since April 2025, or the data for this period has not yet been entered.

Suggestion:
If you need a different time window, specify the exact months/years.
If you want to see monetary values or other attributes, clarify your request.
*/
```

---

**Progress Indicators:**
Interpret → Validate → Build SQL → Output Explanation

**Debug Markers:**
Step 1 → Step 2 → Step 3 → Step 4

---

**Note:**
- No currency column is included, as the measure is a count, not a monetary value.
- If you want to see results from other tables (e.g., WIP or LocationwiseWIP), the same logic applies—replace the table and column names as needed.
- If you want to see a breakdown by month, add `[Month], [Year]` to the SELECT and GROUP BY clauses.

SELECT
    ROW_NUMBER() OVER (ORDER BY agg.[Number of Matters] DESC) AS SrNo,
    agg.[Practice Area],
    agg.[Location],
    agg.[Number of Matters]
FROM (
    SELECT
        [PAName] AS [Practice Area],
        [Location] AS [Location],
        COUNT(DISTINCT [Matter]) AS [Number of Matters]
    FROM
        db_owner.NLP_IR_RaisedExcelTracker_tbl
    WHERE
        ([Year] = 2025 AND [Month] >= 4)
        OR ([Year] > 2025)
    GROUP BY
        [PAName], [Location]
) AS agg
ORDER BY
    agg.[Number of Matters] DESC;


What are the top 5 practices basis the total OS and WIP from april 2025

Instruction:
### Guidelines

1. **Interpret User Intent**
   - **Measures:** Total OS (Outstanding) and WIP (Work In Progress) amounts.
   - **Dimensions:** Practice Area (`PAName`).
   - **Temporal Intent:** "from April 2025" means **onwards** (include April 2025 and all later months).
     - SQL filter: `(Year = 2025 AND Month >= 4) OR (Year > 2025)`
   - **Ranking:** Top 5 practices by combined OS + WIP amount.

2. **Select Correct Tables**
   - OS: `db_owner.NLP_IR_OSExcelTracker_tbl` (`OS INR`)
   - WIP: `db_owner.NLP_IR_WIPExcelTracker_tbl` (`WIPAMT`)
   - Both tables have `PAName` for Practice Area.

3. **Aggregation Logic**
   - Aggregate OS and WIP amounts **per Practice Area** (`PAName`).
   - Sum OS and WIP separately, then combine for total.
   - Use `SUM()` for monetary amounts.

4. **Currency Column**
   - Since measures are monetary, add a `[Currency]` column (default: INR).

5. **Ranking and Row Number**
   - After aggregation, use `ROW_NUMBER() OVER (ORDER BY Total_OS_WIP DESC)` for `SrNo`.
   - Use `TOP 5` or `ROW_NUMBER()` to limit to top 5.

6. **Friendly Headers**
   - Use user-friendly column names: "Practice Area", "Total OS (INR)", "Total WIP (INR)", "Combined OS + WIP (INR)", "Currency", "SrNo".

7. **Business Rules**
   - Only show entity names, not IDs.
   - Show progress markers in comments.
   - If no data, explain why (e.g., no OS/WIP since April 2025).
   - Default currency is INR.
   - Time window is open-ended from April 2025 onwards.

8. **Output**
   - End with a plain-English explanation of the result and suggestions if data is missing.

---

### Sample SQL Server Query

```sql
-- Step 1 → Interpret: Top 5 Practice Areas by Total OS and WIP from April 2025 onwards
-- Step 2 → Validate: Using OS and WIP tables, filter for (Year = 2025 AND Month >= 4) OR (Year > 2025)
-- Step 3 → Build SQL: Aggregate, join, rank, and select friendly headers

WITH OS_Agg AS (
    SELECT
        [PAName] AS [Practice Area],
        SUM([OS INR]) AS [Total OS (INR)]
    FROM db_owner.NLP_IR_OSExcelTracker_tbl
    WHERE ([Year] = 2025 AND [Month] >= 4) OR ([Year] > 2025)
    GROUP BY [PAName]
),
WIP_Agg AS (
    SELECT
        [PAName] AS [Practice Area],
        SUM([WIPAMT]) AS [Total WIP (INR)]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE ([Year] = 2025 AND [Month] >= 4) OR ([Year] > 2025)
    GROUP BY [PAName]
),
Combined AS (
    SELECT
        COALESCE(OS.[Practice Area], WIP.[Practice Area]) AS [Practice Area],
        ISNULL(OS.[Total OS (INR)], 0) AS [Total OS (INR)],
        ISNULL(WIP.[Total WIP (INR)], 0) AS [Total WIP (INR)],
        ISNULL(OS.[Total OS (INR)], 0) + ISNULL(WIP.[Total WIP (INR)], 0) AS [Combined OS + WIP (INR)],
        'INR' AS [Currency]
    FROM OS_Agg OS
    FULL OUTER JOIN WIP_Agg WIP
        ON OS.[Practice Area] = WIP.[Practice Area]
)
SELECT
    ROW_NUMBER() OVER (ORDER BY [Combined OS + WIP (INR)] DESC) AS [SrNo],
    [Practice Area],
    [Total OS (INR)],
    [Total WIP (INR)],
    [Combined OS + WIP (INR)],
    [Currency]
FROM Combined
WHERE [Combined OS + WIP (INR)] > 0
ORDER BY [Combined OS + WIP (INR)] DESC
OFFSET 0 ROWS FETCH NEXT 5 ROWS ONLY;

-- Step 4 → Output: Friendly headers, SrNo, Currency, Top 5 only

/*
Explanation:
This query lists the top 5 Practice Areas (PAName) ranked by the combined total of Outstanding (OS INR) and Work In Progress (WIPAMT) amounts, from April 2025 onwards. All amounts are in INR. If no results appear, it likely means there are no OS or WIP records for any Practice Area since April 2025. For more context, you may specify a different time window or check if data entry for recent months is complete.
*/
```

---

**Progress Indicators:**
Interpret → Validate → Build SQL → Output

**Tracking Tokens/Latency Metadata:**
Not included in this sample, but can be added as needed (e.g., `GETDATE()` for query run time).

**If results are NULL/0:**
Likely no OS or WIP data exists for the specified period. Suggest checking data completeness or adjusting the date range.

-- Top 5 Practice Areas by combined OS and WIP from April 2025 onwards

WITH OS_Agg AS (
    SELECT
        [PAName] AS [Practice Area],
        SUM([OS INR]) AS [Total OS (INR)]
    FROM db_owner.NLP_IR_OSExcelTracker_tbl
    WHERE ([Year] = 2025 AND [Month] >= 4) OR ([Year] > 2025)
    GROUP BY [PAName]
),
WIP_Agg AS (
    SELECT
        [PAName] AS [Practice Area],
        SUM([WIPAMT]) AS [Total WIP (INR)]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE ([Year] = 2025 AND [Month] >= 4) OR ([Year] > 2025)
    GROUP BY [PAName]
),
Combined AS (
    SELECT
        COALESCE(OS.[Practice Area], WIP.[Practice Area]) AS [Practice Area],
        ISNULL(OS.[Total OS (INR)], 0) AS [Total OS (INR)],
        ISNULL(WIP.[Total WIP (INR)], 0) AS [Total WIP (INR)],
        ISNULL(OS.[Total OS (INR)], 0) + ISNULL(WIP.[Total WIP (INR)], 0) AS [Combined OS + WIP (INR)],
        'INR' AS [Currency]
    FROM OS_Agg OS
    FULL OUTER JOIN WIP_Agg WIP
        ON OS.[Practice Area] = WIP.[Practice Area]
)
SELECT
    ROW_NUMBER() OVER (ORDER BY [Combined OS + WIP (INR)] DESC) AS [SrNo],
    [Practice Area],
    [Total OS (INR)],
    [Total WIP (INR)],
    [Combined OS + WIP (INR)],
    [Currency]
FROM Combined
WHERE [Combined OS + WIP (INR)] > 0
ORDER BY [Combined OS + WIP (INR)] DESC
OFFSET 0 ROWS FETCH NEXT 5 ROWS ONLY;


List the top 10 users with most idle hours since april 2025

Instruction:
### Guidelines

1. **Interpret User Intent**
   - **Measure:** Idle hours (likely a time-based metric, e.g., "WIPHRS" or similar).
   - **Dimension:** User (assumed to be "TL" or "RM" or "Employee"—use "TL" as Team Lead for user).
   - **Temporal Intent:** "since April 2025" → include all data from April 2025 onwards (`(Year = 2025 AND Month >= 4) OR (Year > 2025)`).
   - **Ranking:** Top 10 users by idle hours.

2. **Table Selection**
   - Use tables that contain time-based measures. "Idle hours" is not a direct column, but "WIPHRS" (Work In Progress Hours) is available in:
     - `db_owner.NLP_IR_WIPExcelTracker_tbl`
     - `db_owner.NLP_IR_LocationwiseWIPExcelTracker_tbl`
   - Assume "idle hours" refers to "WIPHRS" (if not, clarify with user).

3. **Column Selection**
   - Show user name ("TL" as Team Lead).
   - Show total idle hours (SUM of WIPHRS).
   - Label time units as "Hours".
   - No currency column (per rule #4: time-based measures do not get Currency).

4. **Aggregation & Ranking**
   - Aggregate (SUM) WIPHRS per user.
   - Apply `ROW_NUMBER()` in outer query for SrNo.
   - Use `TOP 10` or `ROW_NUMBER()` to get top 10.

5. **Filters**
   - Filter for records where Year/Month is April 2025 onwards.
   - Exclude NULL/blank TLs.

6. **Friendly Headers**
   - "SrNo", "User Name", "Total Idle Hours (Hours)"

7. **Progress Markers**
   - Step 1 → Step 2 → Step 3 comments in SQL.

8. **Explanation**
   - Add a plain-English summary at the end.

---

### Sample SQL Server Query

```sql
-- Step 1: Aggregate idle hours (WIPHRS) by user (TL) since April 2025
WITH IdleHoursByUser AS (
    SELECT
        [TL] AS [User Name],
        SUM([WIPHRS]) AS [Total Idle Hours (Hours)]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE
        (
            ([Year] = 2025 AND [Month] >= 4)
            OR ([Year] > 2025)
        )
        AND [TL] IS NOT NULL
        AND LTRIM(RTRIM([TL])) <> ''
    GROUP BY [TL]
)

-- Step 2: Rank users by total idle hours, descending
SELECT
    ROW_NUMBER() OVER (ORDER BY [Total Idle Hours (Hours)] DESC) AS [SrNo],
    [User Name],
    [Total Idle Hours (Hours)]
FROM IdleHoursByUser
WHERE [Total Idle Hours (Hours)] > 0 -- Exclude users with zero idle hours
ORDER BY [Total Idle Hours (Hours)] DESC
OFFSET 0 ROWS FETCH NEXT 10 ROWS ONLY; -- Top 10 users

-- Step 3: Explanation
/*
Explanation:
This query lists the top 10 users (Team Leads) with the highest total idle hours (WIPHRS) recorded since April 2025. "Idle hours" are interpreted as "Work In Progress Hours" from the WIP tracker table. If the result is empty or all values are zero, it may indicate that no idle hours have been logged for users in this period, or the definition of "idle hours" needs clarification. If you meant a different metric for idle time, please specify the exact column or business logic.
*/
```

---

**Summary:**
- The query shows the top 10 Team Leads with the most idle hours (interpreted as WIPHRS) since April 2025.
- If no data appears, check if "idle hours" is tracked differently or if there are no records for the period.
- Suggestion: If you need a different user dimension (e.g., RM, Employee), or a different definition of "idle hours," please clarify.

-- Step 1: Aggregate idle hours (interpreted as WIPHRS) by user (TL) since April 2025
WITH IdleHoursByUser AS (
    SELECT
        [TL] AS [User Name],
        SUM([WIPHRS]) AS [Total Idle Hours (Hours)]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE
        (
            ([Year] = 2025 AND [Month] >= 4)
            OR ([Year] > 2025)
        )
        AND [TL] IS NOT NULL
        AND LTRIM(RTRIM([TL])) <> ''
    GROUP BY [TL]
)
-- Step 2: Rank users by total idle hours, descending, and select top 10
SELECT
    ROW_NUMBER() OVER (ORDER BY [Total Idle Hours (Hours)] DESC) AS [SrNo],
    [User Name],
    [Total Idle Hours (Hours)]
FROM IdleHoursByUser
WHERE [Total Idle Hours (Hours)] > 0
ORDER BY [Total Idle Hours (Hours)] DESC
OFFSET 0 ROWS FETCH NEXT 10 ROWS ONLY;

SELECT TOP 10
    ROW_NUMBER() OVER (ORDER BY agg.[Total Idle Hours (Hours)] DESC) AS [SrNo],
    agg.[User Name],
    agg.[Total Idle Hours (Hours)],
    'INR' AS [Currency]
FROM (
    SELECT
        [TL] AS [User Name],
        SUM([WIPHRS]) AS [Total Idle Hours (Hours)]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE
        ([Year] = 2025 AND [Month] >= 4)
        OR ([Year] > 2025)
        AND [TL] IS NOT NULL
        AND LTRIM(RTRIM([TL])) <> ''
    GROUP BY [TL]
) AS agg
WHERE agg.[Total Idle Hours (Hours)] > 0
ORDER BY agg.[Total Idle Hours (Hours)] DESC;


Can you give me quarter wise breakdown for generated for financial year 2024-25

Instruction:
### Guidelines

1. **Interpret User Intent**
   - **Measure:** "generated" likely refers to invoices raised (billed amounts). Use `ClientTotalINR` from `NLP_IR_RaisedExcelTracker_tbl`.
   - **Dimension:** Quarter-wise breakdown (group by financial quarter).
   - **Time Window:** Financial year 2024-25 (Apr 2024 – Mar 2025).
   - **Currency:** INR (default); include `[Currency]` column.
   - **Table:** Use only `db_owner.NLP_IR_RaisedExcelTracker_tbl`.
   - **Friendly Headers:** Use "Quarter", "Total Billed Amount (INR)", "Currency".

2. **Quarter Calculation**
   - Q1: Apr–Jun (Month 4–6)
   - Q2: Jul–Sep (Month 7–9)
   - Q3: Oct–Dec (Month 10–12)
   - Q4: Jan–Mar (Month 1–3, Year = 2025)

3. **Filters**
   - Filter for records where:
     - (`Year = 2024 AND Month BETWEEN 4 AND 12`) OR (`Year = 2025 AND Month BETWEEN 1 AND 3`)
     - `FinancialYear = 2024` (if populated; otherwise, use Year/Month logic)

4. **Aggregation**
   - Group by calculated Quarter.
   - Sum `ClientTotalINR` for each quarter.

5. **Sequential Numbering**
   - Use `ROW_NUMBER()` in the outer query for `SrNo`.

6. **Currency Column**
   - Add a static column 'INR' as `[Currency]`.

7. **Progress Markers**
   - Add comments in SQL for Step 1 → Step 2 → Step 3.

8. **Explanation**
   - Provide a plain-English summary of what the query shows and suggestions if data is missing.

---

### Sample SQL Server Query

```sql
-- Step 1: Interpret user intent and filter for Financial Year 2024-25
-- Step 2: Calculate Quarter based on Month and Year
-- Step 3: Aggregate total billed amount per quarter

WITH QuarterData AS (
    SELECT
        -- Calculate Quarter
        CASE
            WHEN [Year] = 2024 AND [Month] BETWEEN 4 AND 6 THEN 'Q1 (Apr-Jun 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 7 AND 9 THEN 'Q2 (Jul-Sep 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 10 AND 12 THEN 'Q3 (Oct-Dec 2024)'
            WHEN [Year] = 2025 AND [Month] BETWEEN 1 AND 3 THEN 'Q4 (Jan-Mar 2025)'
            ELSE 'Other'
        END AS [Quarter],
        SUM(ISNULL([ClientTotalINR],0)) AS [Total Billed Amount (INR)]
    FROM db_owner.NLP_IR_RaisedExcelTracker_tbl
    WHERE
        (
            ([Year] = 2024 AND [Month] BETWEEN 4 AND 12)
            OR
            ([Year] = 2025 AND [Month] BETWEEN 1 AND 3)
        )
    GROUP BY
        CASE
            WHEN [Year] = 2024 AND [Month] BETWEEN 4 AND 6 THEN 'Q1 (Apr-Jun 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 7 AND 9 THEN 'Q2 (Jul-Sep 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 10 AND 12 THEN 'Q3 (Oct-Dec 2024)'
            WHEN [Year] = 2025 AND [Month] BETWEEN 1 AND 3 THEN 'Q4 (Jan-Mar 2025)'
            ELSE 'Other'
        END
)

SELECT
    ROW_NUMBER() OVER (ORDER BY [Quarter]) AS [SrNo],
    [Quarter],
    [Total Billed Amount (INR)],
    'INR' AS [Currency]
FROM QuarterData
WHERE [Quarter] <> 'Other'
ORDER BY [Quarter];

-- Explanation:
-- This query provides a quarter-wise breakdown of total billed (generated) amounts for Financial Year 2024-25 (Apr 2024–Mar 2025).
-- Each row shows the quarter, total billed amount in INR, and the currency.
-- If results are empty or zero, it likely means no invoices were raised in that period, or data is missing for those months.
-- Suggestion: If you need a breakdown by client, practice area, or other dimensions, please specify.
```

---

**Progress Indicators:**
Interpret → Validate → Build SQL → Output

**Tracking Tokens/Latency Metadata:**
Not included in this sample; add as needed for audit.

---

**If results are NULL/0:**
Likely no invoices were generated in the specified financial year, or data entry is incomplete for those months. Consider checking data completeness or adjusting the time window.

-- Step 1: Filter for Financial Year 2024-25 (Apr 2024 – Mar 2025)
-- Step 2: Calculate Quarter based on Month and Year
-- Step 3: Aggregate total billed amount per quarter

WITH QuarterWiseBilled AS (
    SELECT
        CASE
            WHEN [Year] = 2024 AND [Month] BETWEEN 4 AND 6 THEN 'Q1 (Apr-Jun 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 7 AND 9 THEN 'Q2 (Jul-Sep 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 10 AND 12 THEN 'Q3 (Oct-Dec 2024)'
            WHEN [Year] = 2025 AND [Month] BETWEEN 1 AND 3 THEN 'Q4 (Jan-Mar 2025)'
            ELSE 'Other'
        END AS [Quarter],
        SUM(ISNULL([ClientTotalINR], 0)) AS [Total Billed Amount (INR)]
    FROM db_owner.NLP_IR_RaisedExcelTracker_tbl
    WHERE
        (
            ([Year] = 2024 AND [Month] BETWEEN 4 AND 12)
            OR
            ([Year] = 2025 AND [Month] BETWEEN 1 AND 3)
        )
    GROUP BY
        CASE
            WHEN [Year] = 2024 AND [Month] BETWEEN 4 AND 6 THEN 'Q1 (Apr-Jun 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 7 AND 9 THEN 'Q2 (Jul-Sep 2024)'
            WHEN [Year] = 2024 AND [Month] BETWEEN 10 AND 12 THEN 'Q3 (Oct-Dec 2024)'
            WHEN [Year] = 2025 AND [Month] BETWEEN 1 AND 3 THEN 'Q4 (Jan-Mar 2025)'
            ELSE 'Other'
        END
)

SELECT
    ROW_NUMBER() OVER (ORDER BY [Quarter]) AS [SrNo],
    [Quarter],
    [Total Billed Amount (INR)],
    'INR' AS [Currency]
FROM QuarterWiseBilled
WHERE [Quarter] <> 'Other'
ORDER BY [Quarter];


Give me record where FIlename is MUM/19-20/01205

Instruction:
### Guidelines

1. **Interpret User Intent:**
   - **Measure:** None specified; user wants the full record.
   - **Dimension:** FileName = 'MUM/19-20/01205'.
   - **Temporal Intent:** No date/month/year specified; default to last 2 years (Business Rule #5, #8, #15).
   - **Table Selection:** Only tables with a column named `FileName` can be used.
     - From schema:
       - `db_owner.NLP_IR_WIPExcelTracker_tbl`
       - `db_owner.NLP_IR_LocationwiseWIPExcelTracker_tbl`
   - **Default Financial Year:** Apr–Mar (India).

2. **Validate Table and Column:**
   - Only use tables containing `FileName` column.
   - Do not use IDs; show entity names (Business Rule #7).

3. **Build SQL Query:**
   - Use `SELECT` only (Business Rule #2).
   - Include `ROW_NUMBER() OVER(...) AS SrNo` (Business Rule #1).
   - If monetary columns (e.g., WIPAMT, BHWIPAMT) are present, add a `[Currency]` column with value 'INR' (Business Rule #4).
   - Label time units (e.g., WIPHRS as 'Hours') (Business Rule #12).
   - Use friendly headers (Business Rule #13).
   - Filter for last 2 financial years (Business Rule #5, #15).
   - Provide step markers and progress indicators (Business Rule #9, #10).
   - If no results, explain why (Business Rule #19).

4. **Aggregation Logic:**
   - No aggregation required; user wants the record as-is.

5. **Output Format:**
   - Show SrNo, friendly headers, and Currency column for monetary values.
   - End with a plain-English explanation.

---

### Sample SQL Server Query

```sql
-- Step 1: Interpret user intent → FileName = 'MUM/19-20/01205', last 2 financial years
-- Step 2: Validate table and column → Using db_owner.NLP_IR_WIPExcelTracker_tbl
-- Step 3: Build SQL → Select all relevant columns, add SrNo, Currency for monetary columns

SELECT
    ROW_NUMBER() OVER (ORDER BY [FileName]) AS SrNo,
    [Office] AS [Office],
    [ClientGroup] AS [Client Group],
    [Client] AS [Client Name],
    [Matter] AS [Matter],
    [FileName] AS [File Name],
    [TL] AS [Team Lead],
    [RM] AS [Relationship Manager],
    [Team] AS [Team],
    [TeamOffice] AS [Team Office],
    [PAName] AS [Practice Area],
    [BillingType] AS [Billing Type],
    [WIPHRS] AS [WIP Hours],
    [WIPAMT] AS [WIP Amount],
    CASE WHEN [WIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency],
    [BHWIPHRS] AS [Billed Hours],
    [BHWIPAMT] AS [Billed Amount],
    CASE WHEN [BHWIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency (Billed)],
    [To Date] AS [To Date],
    [Run On] AS [Run On],
    [Year] AS [Year],
    [Month] AS [Month],
    [FinancialYear] AS [Financial Year]
FROM
    db_owner.NLP_IR_WIPExcelTracker_tbl
WHERE
    [FileName] = 'MUM/19-20/01205'
    AND (
        ([Year] = YEAR(GETDATE()) AND [Month] >= MONTH(GETDATE()) - 23) -- Last 2 years logic
        OR ([Year] = YEAR(GETDATE()) - 1)
        OR ([Year] = YEAR(GETDATE()))
    )
-- Step 4: Output result

```

---

### Explanation

**This query returns all records from the Work In Progress tracker where the File Name is 'MUM/19-20/01205' for the last two financial years (Apr–Mar, India).**
- It includes all key details such as Office, Client, Matter, Team, Practice Area, WIP Hours, WIP Amount, and Billed Amount.
- Monetary columns (WIP Amount, Billed Amount) are labeled with 'INR' in the Currency columns.
- If no results are returned, it is likely that either the File Name does not exist for the last two financial years, or there is no data for this File Name in the WIP tracker.

**Suggestion:**
If you need records from other trackers (e.g., Locationwise WIP), repeat the query for those tables. If you want a different time window, specify the month and year for more precise results.

-- Step 1: User wants all records where FileName = 'MUM/19-20/01205' for the last 2 financial years
-- Step 2: Only tables with FileName column: db_owner.NLP_IR_WIPExcelTracker_tbl, db_owner.NLP_IR_LocationwiseWIPExcelTracker_tbl

SELECT
    ROW_NUMBER() OVER (ORDER BY [FileName], [Year] DESC, [Month] DESC) AS SrNo,
    [Office] AS [Office],
    [ClientGroup] AS [Client Group],
    [Client] AS [Client Name],
    [Matter] AS [Matter],
    [FileName] AS [File Name],
    [TL] AS [Team Lead],
    [RM] AS [Relationship Manager],
    [Team] AS [Team],
    [TeamOffice] AS [Team Office],
    [PAName] AS [Practice Area],
    [BillingType] AS [Billing Type],
    [WIPHRS] AS [WIP Hours],
    [WIPAMT] AS [WIP Amount],
    CASE WHEN [WIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency],
    [BHWIPHRS] AS [Billed Hours],
    [BHWIPAMT] AS [Billed Amount],
    CASE WHEN [BHWIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency (Billed)],
    [To Date] AS [To Date],
    [Run On] AS [Run On],
    [Year] AS [Year],
    [Month] AS [Month],
    [FinancialYear] AS [Financial Year]
FROM
    db_owner.NLP_IR_WIPExcelTracker_tbl
WHERE
    [FileName] = 'MUM/19-20/01205'
    AND (
        ([Year] = YEAR(GETDATE()) AND [Month] >= CASE WHEN MONTH(GETDATE()) >= 4 THEN 4 ELSE 1 END)
        OR ([Year] = YEAR(GETDATE()) - 1 AND [Month] >= CASE WHEN MONTH(GETDATE()) >= 4 THEN 4 ELSE 1 END)
        OR ([Year] = YEAR(GETDATE()) AND [Month] <= MONTH(GETDATE()))
    )
UNION ALL
SELECT
    ROW_NUMBER() OVER (ORDER BY [FileName], [Year] DESC, [Month] DESC) AS SrNo,
    [Office] AS [Office],
    [ClientGroup] AS [Client Group],
    [Client] AS [Client Name],
    [Matter] AS [Matter],
    [FileName] AS [File Name],
    [TL] AS [Team Lead],
    [RM] AS [Relationship Manager],
    [Team] AS [Team],
    [TeamOffice] AS [Team Office],
    [PAName] AS [Practice Area],
    [BillingType] AS [Billing Type],
    [WIPHRS] AS [WIP Hours],
    [WIPAMT] AS [WIP Amount],
    CASE WHEN [WIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency],
    [BHWIPHRS] AS [Billed Hours],
    [BHWIPAMT] AS [Billed Amount],
    CASE WHEN [BHWIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency (Billed)],
    [RunOn] AS [To Date],
    [RunOn] AS [Run On],
    [Year] AS [Year],
    [Month] AS [Month],
    [FinancialYear] AS [Financial Year]
FROM
    db_owner.NLP_IR_LocationwiseWIPExcelTracker_tbl
WHERE
    [FileName] = 'MUM/19-20/01205'
    AND (
        ([Year] = YEAR(GETDATE()) AND [Month] >= CASE WHEN MONTH(GETDATE()) >= 4 THEN 4 ELSE 1 END)
        OR ([Year] = YEAR(GETDATE()) - 1 AND [Month] >= CASE WHEN MONTH(GETDATE()) >= 4 THEN 4 ELSE 1 END)
        OR ([Year] = YEAR(GETDATE()) AND [Month] <= MONTH(GETDATE()))
    )
ORDER BY [File Name], [Year] DESC, [Month] DESC;

SELECT
    ROW_NUMBER() OVER (ORDER BY agg.[File Name], agg.[Year] DESC, agg.[Month] DESC) AS SrNo,
    agg.[Office],
    agg.[Client Group],
    agg.[Client Name],
    agg.[Matter],
    agg.[File Name],
    agg.[Team Lead],
    agg.[Relationship Manager],
    agg.[Team],
    agg.[Team Office],
    agg.[Practice Area],
    agg.[Billing Type],
    agg.[WIP Hours],
    agg.[WIP Amount],
    agg.[Currency],
    agg.[Billed Hours],
    agg.[Billed Amount],
    agg.[Currency (Billed)],
    agg.[To Date],
    agg.[Run On],
    agg.[Year],
    agg.[Month],
    agg.[Financial Year]
FROM (
    SELECT
        [Office] AS [Office],
        [ClientGroup] AS [Client Group],
        [Client] AS [Client Name],
        [Matter] AS [Matter],
        [FileName] AS [File Name],
        [TL] AS [Team Lead],
        [RM] AS [Relationship Manager],
        [Team] AS [Team],
        [TeamOffice] AS [Team Office],
        [PAName] AS [Practice Area],
        [BillingType] AS [Billing Type],
        [WIPHRS] AS [WIP Hours],
        [WIPAMT] AS [WIP Amount],
        CASE WHEN [WIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency],
        [BHWIPHRS] AS [Billed Hours],
        [BHWIPAMT] AS [Billed Amount],
        CASE WHEN [BHWIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency (Billed)],
        [To Date] AS [To Date],
        [Run On] AS [Run On],
        [Year] AS [Year],
        [Month] AS [Month],
        [FinancialYear] AS [Financial Year]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE [FileName] = 'MUM/19-20/01205'
      AND (([Year] = YEAR(GETDATE()) AND [Month] >= 4) OR ([Year] = YEAR(GETDATE()) - 1 AND [Month] >= 4))
    UNION ALL
    SELECT
        [Office] AS [Office],
        [ClientGroup] AS [Client Group],
        [Client] AS [Client Name],
        [Matter] AS [Matter],
        [FileName] AS [File Name],
        [TL] AS [Team Lead],
        [RM] AS [Relationship Manager],
        [Team] AS [Team],
        [TeamOffice] AS [Team Office],
        [PAName] AS [Practice Area],
        [BillingType] AS [Billing Type],
        [WIPHRS] AS [WIP Hours],
        [WIPAMT] AS [WIP Amount],
        CASE WHEN [WIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency],
        [BHWIPHRS] AS [Billed Hours],
        [BHWIPAMT] AS [Billed Amount],
        CASE WHEN [BHWIPAMT] IS NOT NULL THEN 'INR' ELSE NULL END AS [Currency (Billed)],
        [RunOn] AS [To Date],
        [RunOn] AS [Run On],
        [Year] AS [Year],
        [Month] AS [Month],
        [FinancialYear] AS [Financial Year]
    FROM db_owner.NLP_IR_LocationwiseWIPExcelTracker_tbl
    WHERE [FileName] = 'MUM/19-20/01205'
      AND (([Year] = YEAR(GETDATE()) AND [Month] >= 4) OR ([Year] = YEAR(GETDATE()) - 1 AND [Month] >= 4))
) agg
ORDER BY agg.[File Name], agg.[Year] DESC, agg.[Month] DESC;


What is the total amount raised (billed) for all clients in the last financial year?

Instruction:
Guidelines
1. Interpret intent
   - Measure: Total amount raised (billed) in INR.
   - Dimensions: All clients aggregated (no client-level breakdown requested).
   - Time period: “last financial year” using India FY Apr–Mar. With today in the current FY, last FY = Apr of previous year through Mar of current year.
2. Choose the correct table and columns
   - Use db_owner.NLP_IR_RaisedExcelTracker_tbl (raised invoices).
   - Use ClientTotalINR for gross billed amounts; optionally include CNINR to also show net billed after credit notes.
3. Apply the fiscal-year filter precisely
   - Compute StartYear and EndYear based on GETDATE():
     • If month >= 4: StartYear = YEAR(GETDATE())-1, EndYear = YEAR(GETDATE()).
     • Else: StartYear = YEAR(GETDATE())-2, EndYear = YEAR(GETDATE())-1.
   - Filter rows where (Year = StartYear AND Month >= 4) OR (Year = EndYear AND Month <= 3).
4. Aggregate first, then rank
   - Sum amounts in a subquery/CTE (GrossBilledINR = SUM(ClientTotalINR), CreditNotesINR = SUM(CNINR)).
   - Apply ROW_NUMBER() in the outer SELECT to satisfy sequential numbering.
5. Currency handling
   - Default currency is INR; include a [Currency] column because the measures are monetary.
6. Null safety and clean headers
   - Use ISNULL(...) to avoid nulls in sum.
   - Alias output columns with business-friendly names (e.g., “Total Amount Raised (INR)”).
7. Percentages and context
   - If showing a percentage, clearly define the denominator (e.g., Credit Notes ÷ Gross Billed).
8. IDs vs names
   - Do not include IDs; only aggregated totals. No client breakdown is requested.
9. Progress markers
   - Step 1 → Interpret intent; Step 2 → Validate time window (last FY Apr–Mar); Step 3 → Build SQL with FY logic, aggregate, and present totals.
10. Tracking/latency metadata
   - Include a generated tracking token (NEWID()) and timestamp (GETDATE()) in the SELECT for auditability.

Sample SQL (SQL Server)
WITH FY AS (
    SELECT
        CASE WHEN MONTH(GETDATE()) >= 4 THEN YEAR(GETDATE()) - 1 ELSE YEAR(GETDATE()) - 2 END AS StartYear,
        CASE WHEN MONTH(GETDATE()) >= 4 THEN YEAR(GETDATE())     ELSE YEAR(GETDATE()) - 1 END AS EndYear
),
Agg AS (
    SELECT
        SUM(ISNULL(R.ClientTotalINR, 0)) AS GrossBilledINR,
        SUM(ISNULL(R.CNINR, 0))          AS CreditNotesINR
    FROM db_owner.NLP_IR_RaisedExcelTracker_tbl AS R
    CROSS JOIN FY
    WHERE
        (R.Year = FY.StartYear AND R.Month >= 4)
        OR
        (R.Year = FY.EndYear   AND R.Month <= 3)
)
SELECT
    ROW_NUMBER() OVER (ORDER BY A.GrossBilledINR DESC) AS SrNo,
    'INR'                                             AS Currency,
    A.GrossBilledINR                                  AS [Total Amount Raised (INR)],
    A.CreditNotesINR                                  AS [Credit Notes (INR)],
    (A.GrossBilledINR - A.CreditNotesINR)             AS [Net Billed after Credit Notes (INR)],
    CASE WHEN A.GrossBilledINR > 0
         THEN (A.CreditNotesINR * 100.0) / A.GrossBilledINR
         ELSE NULL
    END                                               AS [Credit Notes % of Gross Billed],
    NEWID()                                           AS TrackingToken,
    GETDATE()                                         AS GeneratedAt
FROM Agg AS A
ORDER BY A.GrossBilledINR DESC;

Explanation
- Step 1 → Interpret: This returns the total billed (raised) amount for all clients in the last financial year (Apr–Mar, India basis).
- Step 2 → Validate: The filter uses Year and Month to capture Apr of the previous year through Mar of the current year relative to GETDATE().
- Step 3 → Build SQL: It sums ClientTotalINR for gross billed and CNINR for credit notes, also shows net billed and credit notes as a percentage of gross billed. Currency is set to INR.
- If the result is 0 or NULL: It likely means there are no raised invoice records tagged to the last FY in the source, or Month/Year values are missing in the dataset.
- Suggestion: If you need a client-wise breakdown, we can group by ClientName and Location; if you want “calendar year” instead, specify it and we will adjust the filter accordingly.

-- Valid SQL Server SELECT query following all 20 business rules
WITH FY AS (
    -- Step 1 → Determine last financial year (Apr–Mar) relative to GETDATE()
    SELECT
        CASE WHEN MONTH(GETDATE()) >= 4 THEN YEAR(GETDATE()) - 1 ELSE YEAR(GETDATE()) - 2 END AS StartYear,
        CASE WHEN MONTH(GETDATE()) >= 4 THEN YEAR(GETDATE())     ELSE YEAR(GETDATE()) - 1 END AS EndYear
),
Agg AS (
    -- Step 2 → Aggregate total raised (billed) and credit notes for the last FY
    SELECT
        SUM(ISNULL(R.ClientTotalINR, 0)) AS GrossBilledINR,
        SUM(ISNULL(R.CNINR, 0))          AS CreditNotesINR
    FROM db_owner.NLP_IR_RaisedExcelTracker_tbl AS R
    CROSS JOIN FY
    WHERE
        (R.Year = FY.StartYear AND R.Month >= 4)
        OR
        (R.Year = FY.EndYear   AND R.Month <= 3)
)
-- Step 3 → Present totals with currency, net billed, percentage, and tracking metadata
SELECT
    ROW_NUMBER() OVER (ORDER BY A.GrossBilledINR DESC) AS SrNo,
    'INR'                                             AS [Currency],
    A.GrossBilledINR                                  AS [Total Amount Raised (INR)],
    A.CreditNotesINR                                  AS [Credit Notes (INR)],
    (A.GrossBilledINR - A.CreditNotesINR)             AS [Net Billed after Credit Notes (INR)],
    CASE WHEN A.GrossBilledINR > 0
         THEN (A.CreditNotesINR * 100.0) / A.GrossBilledINR
         ELSE NULL
    END                                               AS [Credit Notes % of Gross Billed],
    NEWID()                                           AS TrackingToken,
    GETDATE()                                         AS GeneratedAt
FROM Agg AS A
ORDER BY A.GrossBilledINR DESC;

WITH FY AS (
    SELECT
        CASE WHEN MONTH(GETDATE()) >= 4 THEN YEAR(GETDATE()) - 1 ELSE YEAR(GETDATE()) - 2 END AS StartYear,
        CASE WHEN MONTH(GETDATE()) >= 4 THEN YEAR(GETDATE())     ELSE YEAR(GETDATE()) - 1 END AS EndYear
),
Agg AS (
    SELECT
        SUM(ISNULL(R.ClientTotalINR, 0)) AS GrossBilledINR,
        SUM(ISNULL(R.CNINR, 0))          AS CreditNotesINR
    FROM db_owner.NLP_IR_RaisedExcelTracker_tbl AS R
    CROSS JOIN FY
    WHERE
        (R.Year = FY.StartYear AND R.Month >= 4)
        OR
        (R.Year = FY.EndYear   AND R.Month <= 3)
)
SELECT
    ROW_NUMBER() OVER (ORDER BY A.GrossBilledINR DESC) AS SrNo,
    'INR'                                             AS [Currency],
    A.GrossBilledINR                                  AS [Total Amount Raised (INR)],
    A.CreditNotesINR                                  AS [Credit Notes (INR)],
    (A.GrossBilledINR - A.CreditNotesINR)             AS [Net Billed after Credit Notes (INR)]
FROM Agg AS A
ORDER BY A.GrossBilledINR DESC;

Object of type datetime is not JSON serializable


Show the total realized revenue for Q1 FY 2025, broken down by client group.

Instruction:
Guidelines

1. Step 1 → Interpret intent
   - Measure: Total realised revenue → use SUM(TotalRealised) from db_owner.NLP_IR_RealizationExcelTracker_tbl.
   - Dimension: Client Group → use ClientGroup column (names only; no IDs).
   - Time basis: Indian Financial Year (Apr–Mar).
   - Period requested: Q1 FY 2025 → April–June of the FY ending March 2025, i.e., Apr–Jun 2024.
   - Monetary amounts must include a [Currency] column; default to INR because the measure is in INR.

2. Step 2 → Validate temporal filter
   - Apply FY logic: FinancialYear = 2025 AND Month IN (4,5,6).
   - As a safeguard for records where FinancialYear might be null, also accept Year = 2024 AND Month IN (4,5,6).
   - Do not use “To Date” basis here (that applies to Outstanding/WIP per business logic, not realisation).

3. Step 3 → Define aggregation
   - Aggregate at ClientGroup level:
     - SUM(TotalRealised) as realised amount (INR).
     - Include denominator per rule 14: SUM(TotalBilledINR) to show Realisation % = Realised ÷ Billed.
   - Use COALESCE to handle nulls safely.

4. Step 4 → Ranking and sequential numbering
   - Apply ROW_NUMBER() OVER(ORDER BY SUM(TotalRealised) DESC) in the outer query (after aggregation) to produce SrNo.
   - Order results descending by realised INR.

5. Step 5 → Output columns and headers
   - Friendly headers aligned to the question:
     • SrNo
     • Client Group
     • Total Realised (INR)
     • Total Billed (INR)
     • Realisation (%)
     • Currency (for monetary columns only)
     • Period (label as “Q1 FY 2025 (Apr–Jun 2024)”)
   - Do not include IDs. Label time as FY quarter; no hours/minutes needed since this is currency.

6. Step 6 → SQL-only constraints
   - Use only SELECT; no DML.
   - Use only the allowed NLP tables; for this request, the Realization tracker table suffices.
   - Group by non-aggregated columns; sum monetary measures; compute percentage with NULLIF to avoid divide-by-zero.

7. Step 7 → Progress and debug markers
   - Provide Step markers and progress indicators in the narrative (Interpret → Validate → Build SQL).
   - Include tracking tokens/latency metadata in the explanation section.

8. Step 8 → Edge cases and suggestions
   - If results are NULL/0, likely no receipts were posted in the specified quarter, or FY mapping differs; suggest confirming whether FY 2025 is Apr 2024–Mar 2025 and whether realisation should be based on Receipt Dt specifically.
   - If you need calendar-year Q1 (Jan–Mar), explicitly say so; default used here is Indian FY.

Sample SQL (SQL Server)

WITH Q1FY25 AS (
    SELECT
        COALESCE(r.ClientGroup, 'Unknown') AS ClientGroup,
        SUM(COALESCE(r.TotalRealised, 0)) AS TotalRealisedINR,
        SUM(COALESCE(r.TotalBilledINR, 0)) AS TotalBilledINR
    FROM db_owner.NLP_IR_RealizationExcelTracker_tbl AS r
    WHERE
        (
            (r.FinancialYear = 2025 AND r.Month BETWEEN 4 AND 6)
            OR
            (r.Year = 2024 AND r.Month BETWEEN 4 AND 6)
        )
    GROUP BY
        COALESCE(r.ClientGroup, 'Unknown')
)
SELECT
    ROW_NUMBER() OVER (ORDER BY q.TotalRealisedINR DESC) AS SrNo,
    q.ClientGroup AS [Client Group],
    CAST(q.TotalRealisedINR AS decimal(18,2)) AS [Total Realised (INR)],
    CAST(q.TotalBilledINR AS decimal(18,2)) AS [Total Billed (INR)],
    CAST(CASE WHEN q.TotalBilledINR = 0 THEN NULL ELSE (q.TotalRealisedINR / q.TotalBilledINR) * 100 END AS decimal(5,2)) AS [Realisation (%)],
    'INR' AS [Currency],
    'Q1 FY 2025 (Apr–Jun 2024)' AS [Period]
FROM Q1FY25 AS q
ORDER BY
    q.TotalRealisedINR DESC;

Explanation
- Step 1 (Interpret): You asked for total realised revenue by client group for Q1 of FY 2025. Using Indian FY (Apr–Mar), Q1 FY 2025 is Apr–Jun 2024.
- Step 2 (Validate): We filter Realization records where FinancialYear = 2025 and Month 4–6, or where Year = 2024 and Month 4–6, to handle varying population of FY/Year columns.
- Step 3 (Build SQL): The query aggregates TotalRealised and TotalBilledINR by ClientGroup, returns SrNo after aggregation, and adds a Currency column (INR). Realisation (%) is provided as Realised ÷ Billed per business rule 14.
- What the numbers mean: “Total Realised (INR)” is the sum of receipts recorded in the realisation tracker for Apr–Jun 2024, grouped by client group. “Realisation (%)” shows how much of the billed amount for the same period was realised.
- If results are NULL/0: It likely means no receipts were recorded in Q1 FY 2025 for some client groups, or the FY mapping in the source differs. If your firm defines FY 2025 differently or wants realisation strictly by Receipt Dt, confirm and we can switch the date filter to Receipt Dt between 2024-04-01 and 2024-06-30.
- Tracking tokens: TraceId=FY25Q1-Realisation-ByClientGroup; BuildLatency=fast; DataLatency=depends on RunOn of source.

WITH Q1FY25 AS (
    SELECT
        COALESCE(r.ClientGroup, 'Unknown') AS ClientGroup,
        SUM(COALESCE(r.TotalRealised, 0)) AS TotalRealisedINR,
        SUM(COALESCE(r.TotalBilledINR, 0)) AS TotalBilledINR
    FROM db_owner.NLP_IR_RealizationExcelTracker_tbl AS r
    WHERE
        (
            (r.FinancialYear = 2025 AND r.Month BETWEEN 4 AND 6)
            OR
            (r.Year = 2024 AND r.Month BETWEEN 4 AND 6)
        )
    GROUP BY
        COALESCE(r.ClientGroup, 'Unknown')
)
SELECT
    ROW_NUMBER() OVER (ORDER BY q.TotalRealisedINR DESC) AS SrNo,
    q.ClientGroup AS [Client Group],
    CAST(q.TotalRealisedINR AS decimal(18,2)) AS [Total Realised (INR)],
    CAST(q.TotalBilledINR AS decimal(18,2)) AS [Total Billed (INR)],
    CAST(CASE WHEN NULLIF(q.TotalBilledINR, 0) IS NULL THEN NULL ELSE (q.TotalRealisedINR / q.TotalBilledINR) * 100 END AS decimal(5,2)) AS [Realisation (%)],
    'INR' AS [Currency],
    'Q1 FY 2025 (Apr–Jun 2024)' AS [Period]
FROM Q1FY25 AS q
ORDER BY
    q.TotalRealisedINR DESC;


Can you show the total WIP amount by office location for matters?

Instruction:
Guidelines

1. Interpret the intent
   - Measure: WIP amount (monetary) → column WIPAMT.
   - Dimension: Office location → column Office.
   - Scope “for matters”: ensure Matter is present (exclude non-matter or blank records).
   - Time window: user did not specify a month/year; apply default last 2 years on Financial Year basis (Apr–Mar).
   - For WIP/pending work, prefer using the “To Date” timestamp when available; otherwise fall back to Month_EndDate or Run On.

2. Temporal filters
   - Use COALESCE([To Date], [Month_EndDate], [Run On]) to pick the best available record date.
   - Default window: between DATEADD(year, -2, GETDATE()) and GETDATE().
   - If the user later specifies “for Apr 2025”: filter Month = 4 AND Year = 2025.
   - If they say “since Apr 2025”: include onwards using (Year > 2025 OR (Year = 2025 AND Month >= 4)), or equivalently FromDate/ToDate >= '2025-04-01'.

3. Data source
   - Use only db_owner.NLP_IR_WIPExcelTracker_tbl for WIP amounts by Office.
   - Do not join other tables unless specifically required.

4. Aggregation and ranking
   - First aggregate SUM(WIPAMT) by Office.
   - In an outer SELECT, add ROW_NUMBER() OVER (ORDER BY TotalWIP DESC) AS SrNo.
   - Include a percentage share: office WIP ÷ grand total WIP (window SUM over the aggregated subquery).
   - Always GROUP BY non-aggregated columns; ORDER BY TotalWIP DESC.

5. Currency handling
   - WIPAMT is monetary; include a [Currency] column with 'INR' (default).
   - Do not add Currency for time measures (e.g., WIPHRS), but we’re not selecting hours here.

6. Data hygiene
   - Exclude rows with NULL Office to avoid unnamed buckets.
   - Require Matter IS NOT NULL to respect “for matters”.
   - Use COALESCE on WIPAMT during SUM to handle nulls safely.

7. Output columns and labels
   - Friendly headers: “Office Location”, “Total WIP Amount”, “Currency”, “Share of Total WIP (%)”.
   - Show names only—no IDs.

8. Debug/progress markers
   - Provide Step markers: Interpret → Validate → Build SQL.
   - Include tracking token text in the explanation for observability.

9. Ordering and clarity
   - Order by Total WIP Amount descending for readability.
   - Provide a plain-English explanation that states the time basis (Financial Year: Apr–Mar), the window (last 2 years), and the denominator used in the percentage.

10. Suggestions
   - If context is missing or the result is empty/zero, suggest specifying a tighter date range (e.g., “for Apr 2025”), a specific Office, or switching to calendar year basis if needed.

Sample SQL (SQL Server)

WITH AggregatedWIP AS (
    SELECT
        w.[Office],
        SUM(COALESCE(w.[WIPAMT], 0)) AS TotalWIPINR
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl AS w
    WHERE
        w.[Office] IS NOT NULL
        AND w.[Matter] IS NOT NULL
        AND COALESCE(w.[To Date], w.[Month_EndDate], w.[Run On]) BETWEEN DATEADD(year, -2, CONVERT(date, GETDATE())) AND CONVERT(date, GETDATE())
    GROUP BY
        w.[Office]
)
SELECT
    ROW_NUMBER() OVER (ORDER BY aw.TotalWIPINR DESC) AS [SrNo],
    aw.[Office] AS [Office Location],
    aw.TotalWIPINR AS [Total WIP Amount],
    'INR' AS [Currency],
    CAST(aw.TotalWIPINR * 100.0 / NULLIF(SUM(aw.TotalWIPINR) OVER (), 0) AS decimal(18,2)) AS [Share of Total WIP (%)]
FROM AggregatedWIP AS aw
ORDER BY
    [Total WIP Amount] DESC;

Explanation
- Step 1 (Interpret): Summarizes WIPAMT (monetary) by Office location, restricted to rows that have a Matter.
- Step 2 (Validate): Applies the default last-2-years window on an FY basis using COALESCE(To Date, Month_EndDate, Run On) to determine record date.
- Step 3 (Build SQL): Aggregates in a subquery, then ranks using ROW_NUMBER() and computes each office’s share of the grand total WIP.

What the numbers mean:
- “Total WIP Amount” is the sum of WIPAMT in INR for each Office over the last 24 months (Financial Year basis, Apr–Mar), considering the best available date per row (To Date → Month_EndDate → Run On).
- “Share of Total WIP (%)” is Total WIP Amount ÷ Grand Total WIP across all Offices in the same window.

Suggestions/next steps:
- To refine the period, specify a month/year (e.g., “for Apr 2025”) or a start point (e.g., “since Apr 2025”).
- If you prefer calendar year instead of FY, say “calendar year” and we’ll switch the date basis.
- If results are empty or zero, it’s likely due to the time filter or missing Office/Matter values; tighten the window or remove the Matter condition if broader WIP is acceptable.

Tracking
- Interpret → Validate → Build SQL [OK]
- Token: qid=WIP_BY_OFFICE_2025-11-17T00:00Z
- Latency basis: server-time GETDATE() used for window calculation.

WITH AggregatedWIP AS (
    SELECT
        w.[Office],
        SUM(COALESCE(w.[WIPAMT], 0)) AS TotalWIPINR
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl AS w
    WHERE
        w.[Office] IS NOT NULL
        AND LTRIM(RTRIM(w.[Office])) <> ''
        AND w.[Matter] IS NOT NULL
        AND LTRIM(RTRIM(w.[Matter])) <> ''
        AND COALESCE(w.[To Date], w.[Month_EndDate], w.[Run On]) BETWEEN DATEADD(year, -2, CONVERT(date, GETDATE())) AND CONVERT(date, GETDATE())
    GROUP BY
        w.[Office]
)
SELECT
    ROW_NUMBER() OVER (ORDER BY aw.TotalWIPINR DESC) AS [SrNo],
    aw.[Office] AS [Office Location],
    aw.TotalWIPINR AS [Total WIP Amount],
    'INR' AS [Currency],
    CAST(aw.TotalWIPINR * 100.0 / NULLIF(SUM(aw.TotalWIPINR) OVER (), 0) AS decimal(18,2)) AS [Share of Total WIP (%)]
FROM AggregatedWIP AS aw
ORDER BY
    [Total WIP Amount] DESC;


Can you show the total WIP amount by office location for matters?

Instruction:
Guidelines

1. Step 1 → Interpret intent
   - Measure: Total WIP amount (monetary) → use WIPAMT.
   - Dimensions: Office location (use Office). “for matters” implies we should only consider rows that have a valid Matter name.
   - Time window: User did not specify a month/year, so apply the default last 2 financial years (Apr–Mar, India). Use “To Date” for WIP where available, per business logic for pending work.

2. Step 2 → Choose the correct table
   - Use db_owner.NLP_IR_WIPExcelTracker_tbl (contains Office, Matter, WIPAMT, and [To Date]).
   - Do not use any tables other than the six provided.

3. Step 3 → Time filtering (Financial Year basis, Apr–Mar)
   - Compute FiscalStartDate as April 1 two financial years back:
     • If current month ≥ April: start = DATEFROMPARTS(YEAR(GETDATE()) - 2, 4, 1)
     • Else: start = DATEFROMPARTS(YEAR(GETDATE()) - 3, 4, 1)
   - FiscalEndDate = GETDATE().
   - Apply filter using [To Date] when present: [To Date] between FiscalStartDate and FiscalEndDate.
   - Fallback if [To Date] is NULL: use Year/Month relative to FiscalStartDate (Year >= StartFYYear and Month >= 4).

4. Step 4 → Data cleansing
   - Include only rows with non-empty Office and Matter (Office IS NOT NULL AND Office <> '' and Matter IS NOT NULL AND Matter <> '').
   - Treat NULL WIPAMT as 0 in aggregation.

5. Step 5 → Aggregation logic
   - Inner query: group by Office and compute:
     • SUM(WIPAMT) as TotalWIPAMT
     • COUNT(DISTINCT Matter) as MatterCount (contextual count, no currency column)
   - Compute GrandTotal across all offices to derive percentage share.

6. Step 6 → Ranking and ordering
   - Apply ROW_NUMBER() OVER (ORDER BY TotalWIPAMT DESC) AS SrNo in the outer query after aggregation.
   - ORDER BY TotalWIPAMT DESC.

7. Step 7 → Currency handling
   - WIPAMT is monetary; include a [Currency] column and default to 'INR'.
   - Do not add currency for counts.

8. Step 8 → Headers and percentage denominator
   - Use friendly headers like “Office Location”, “Total WIP Amount”, “No. of Matters”, “WIP Share %”.
   - WIP Share % = TotalWIPAMT ÷ GrandTotal × 100. Show the denominator context in the explanation.

9. Step 9 → Tracking and metadata
   - Add tracking columns: [TrackingId] = NEWID(), [QueryRunOn] = GETDATE().
   - Show the effective date window columns: “Window Start (FY)” and “Window End”.

10. Step 10 → Validation and suggestions
    - If results are empty or zero, likely no WIP entries in the last two financial years or Office/Matter values are missing.
    - For month-specific analysis, the user must specify Month and Year (e.g., “for Apr 2025”). Otherwise, we use the default 2-FY window.
    - If a specific office, practice area, or team is needed, add filters on Office, PAName, Team.

Progress: Interpret → Validate → Build SQL
Tracking: Token and runtime included in result set.

Sample SQL (SQL Server)

WITH Params AS (
    SELECT
        CASE
            WHEN MONTH(GETDATE()) >= 4
                THEN DATEFROMPARTS(YEAR(GETDATE()) - 2, 4, 1)
            ELSE DATEFROMPARTS(YEAR(GETDATE()) - 3, 4, 1)
        END AS FiscalStartDate,
        GETDATE() AS FiscalEndDate,
        CASE
            WHEN MONTH(GETDATE()) >= 4
                THEN YEAR(GETDATE()) - 2
            ELSE YEAR(GETDATE()) - 3
        END AS StartFYYear
),
Filtered AS (
    SELECT
        t.Office,
        t.Matter,
        ISNULL(t.WIPAMT, 0) AS WIPAMT
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl AS t
    CROSS JOIN Params AS p
    WHERE
        -- Only valid offices and matters
        t.Office IS NOT NULL AND LTRIM(RTRIM(t.Office)) <> ''
        AND t.Matter IS NOT NULL AND LTRIM(RTRIM(t.Matter)) <> ''
        AND (
            -- Prefer To Date window where present
            (t.[To Date] IS NOT NULL
             AND t.[To Date] >= p.FiscalStartDate
             AND t.[To Date] <= p.FiscalEndDate)
            OR
            -- Fallback: Year/Month relative to FY start when To Date is NULL
            (t.[To Date] IS NULL AND (
                t.Year IS NOT NULL AND t.Month IS NOT NULL AND
                (
                    t.Year > p.StartFYYear
                    OR (t.Year = p.StartFYYear AND t.Month >= 4)
                )
            ))
        )
),
Agg AS (
    SELECT
        f.Office,
        SUM(f.WIPAMT) AS TotalWIPAMT,
        COUNT(DISTINCT f.Matter) AS MatterCount
    FROM Filtered AS f
    GROUP BY f.Office
),
Total AS (
    SELECT SUM(a.TotalWIPAMT) AS GrandTotal
    FROM Agg AS a
)
SELECT
    ROW_NUMBER() OVER (ORDER BY a.TotalWIPAMT DESC) AS SrNo,
    a.Office AS [Office Location],
    a.TotalWIPAMT AS [Total WIP Amount],
    'INR' AS [Currency],
    a.MatterCount AS [No. of Matters],
    CAST(CASE WHEN t.GrandTotal > 0 THEN (a.TotalWIPAMT / t.GrandTotal) * 100 ELSE 0 END AS DECIMAL(10,2)) AS [WIP Share %],
    p.FiscalStartDate AS [Window Start (FY)],
    p.FiscalEndDate AS [Window End],
    NEWID() AS [TrackingId],
    GETDATE() AS [QueryRunOn]
FROM Agg AS a
CROSS JOIN Params AS p
CROSS JOIN Total AS t
ORDER BY a.TotalWIPAMT DESC;

Explanation
- This report shows total WIP amount (in INR) aggregated by office location, considering only valid matters. It uses the last two financial years by default (Apr–Mar basis), preferring the [To Date] window for WIP; if [To Date] is missing, it falls back to Year/Month aligned to the fiscal start.
- “WIP Share %” is each office’s Total WIP Amount divided by the Grand Total WIP across all offices in the filtered window.
- If you intended a specific month or range (e.g., “for Apr 2025” or “since Apr 2025”), please specify it. We can also filter by Practice Area (PAName), Team, or a particular Office if needed.
- If you see zeros or no rows, likely there are no WIP records with valid Office/Matter in the last two financial years, or the data lacks [To Date]/Year/Month population.

WITH Params AS (
    SELECT
        CASE
            WHEN MONTH(GETDATE()) >= 4
                THEN DATEFROMPARTS(YEAR(GETDATE()) - 2, 4, 1)
            ELSE DATEFROMPARTS(YEAR(GETDATE()) - 3, 4, 1)
        END AS FiscalStartDate,
        GETDATE() AS FiscalEndDate,
        CASE
            WHEN MONTH(GETDATE()) >= 4
                THEN YEAR(GETDATE()) - 2
            ELSE YEAR(GETDATE()) - 3
        END AS StartFYYear
),
Filtered AS (
    SELECT
        t.Office,
        t.Matter,
        ISNULL(t.WIPAMT, 0) AS WIPAMT
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl AS t
    CROSS JOIN Params AS p
    WHERE
        t.Office IS NOT NULL AND LTRIM(RTRIM(t.Office)) <> ''
        AND t.Matter IS NOT NULL AND LTRIM(RTRIM(t.Matter)) <> ''
        AND (
            (t.[To Date] IS NOT NULL
             AND t.[To Date] >= p.FiscalStartDate
             AND t.[To Date] <= p.FiscalEndDate)
            OR
            (t.[To Date] IS NULL AND (
                t.Year IS NOT NULL AND t.Month IS NOT NULL AND
                (
                    t.Year > p.StartFYYear
                    OR (t.Year = p.StartFYYear AND t.Month >= 4)
                )
            ))
        )
),
Agg AS (
    SELECT
        f.Office,
        SUM(f.WIPAMT) AS TotalWIPAMT,
        COUNT(DISTINCT f.Matter) AS MatterCount
    FROM Filtered AS f
    GROUP BY f.Office
),
Total AS (
    SELECT SUM(a.TotalWIPAMT) AS GrandTotal
    FROM Agg AS a
)
SELECT
    ROW_NUMBER() OVER (ORDER BY a.TotalWIPAMT DESC) AS SrNo,
    a.Office AS [Office Location],
    a.TotalWIPAMT AS [Total WIP Amount],
    'INR' AS [Currency],
    a.MatterCount AS [No. of Matters],
    CAST(CASE WHEN ISNULL(t.GrandTotal, 0) > 0 THEN (a.TotalWIPAMT / t.GrandTotal) * 100 ELSE 0 END AS DECIMAL(10,2)) AS [WIP Share %],
    p.FiscalStartDate AS [Window Start (FY)],
    p.FiscalEndDate AS [Window End],
    NEWID() AS [TrackingId],
    GETDATE() AS [QueryRunOn]
FROM Agg AS a
CROSS JOIN Params AS p
CROSS JOIN Total AS t
ORDER BY a.TotalWIPAMT DESC;


give me average realization rate with respect to practice area

Instruction:
Guidelines

1. Step 1 → Interpret intent
   - Measure: Average Realization Rate (percentage of Total Realised over Total Billed).
   - Dimension: Practice Area (PAName).
   - Time intent: Not specified → default to last 2 years (Financial Year basis Apr–Mar). For a neutral default, we’ll use the bill date range for the most recent 24 months.

2. Step 2 → Choose source tables and join keys
   - Use db_owner.NLP_IR_RealizationExcelTracker_tbl for monetary measures: TotalRealised and TotalBilledINR.
   - PAName is not present in the realization table; obtain PAName from db_owner.NLP_IR_RaisedExcelTracker_tbl.
   - Join key: Realization.BillNumber = Raised.BillNo. This preserves entity names (no IDs).

3. Step 3 → Prevent double counting of billed amounts
   - Realization can have multiple receipt rows per bill. If you SUM TotalBilledINR directly, it will overcount.
   - First aggregate by BillNumber:
     • RealisedINR = SUM(TotalRealised)
     • BilledINR = MAX(TotalBilledINR)
   - Then roll up by PAName.

4. Step 4 → Date filtering (default window)
   - Apply a filter for the last 24 months using BillDate between DATEADD(year, -2, GETDATE()) and GETDATE().
   - If you need strict FY windows (Apr–Mar), specify exact FromDate/ToDate or FinancialYear; otherwise the default rolling 24 months is acceptable.

5. Step 5 → Aggregation logic (outer query pattern)
   - Aggregate per BillNumber (CTE 1), then join to Raised to get PAName and aggregate to Practice Area (CTE 2).
   - Compute Realization Rate (%) as SUM(RealisedINR) ÷ SUM(BilledINR) × 100.
   - Include COUNT(DISTINCT BillNumber) as the number of bills contributing to the PA.

6. Step 6 → Currency handling
   - These measures are monetary; include a Currency column and default to INR.
   - Do not add Currency for any time/count columns.

7. Step 7 → Ranking and ordering
   - Apply ROW_NUMBER() only after the PA-level aggregation.
   - Order by Realization Rate (%) descending.

8. Step 8 → Output columns and friendly headers
   - Practice Area, Billed (INR), Realised (INR), Currency, Bills Count, Realisation Rate (%), Realisation Ratio.
   - Percentages must show denominator; include billed and realised totals side-by-side.

9. Step 9 → Handle nulls/zeros
   - Use CASE WHEN SUM(BilledINR) > 0 THEN … ELSE NULL to avoid divide-by-zero.
   - If results are blank or 0, likely due to no bills or receipts in the selected period.

10. Step 10 → Progress indicators and tracking
   - Interpret → Validate → Build SQL.
   - Attach a tracking token and note default assumptions (time window, INR).

Sample SQL (SQL Server)

WITH RealisationPerBill AS (
    SELECT
        r.BillNumber,
        MIN(r.BillDate) AS BillDate,
        SUM(ISNULL(r.TotalRealised, 0)) AS RealisedINR,
        MAX(ISNULL(r.TotalBilledINR, 0)) AS BilledINR
    FROM db_owner.NLP_IR_RealizationExcelTracker_tbl AS r
    WHERE
        r.BillDate >= DATEADD(year, -2, CAST(GETDATE() AS date))
        AND r.BillDate <= CAST(GETDATE() AS date)
    GROUP BY
        r.BillNumber
),
PAAgg AS (
    SELECT
        ISNULL(ra.PAName, 'Unknown') AS PAName,
        SUM(rb.BilledINR) AS TotalBilledINR,
        SUM(rb.RealisedINR) AS TotalRealisedINR,
        COUNT(DISTINCT rb.BillNumber) AS BillsCount
    FROM RealisationPerBill AS rb
    LEFT JOIN db_owner.NLP_IR_RaisedExcelTracker_tbl AS ra
        ON ra.BillNo = rb.BillNumber
    GROUP BY
        ISNULL(ra.PAName, 'Unknown')
)
SELECT
    ROW_NUMBER() OVER (
        ORDER BY
            CASE WHEN TotalBilledINR > 0
                 THEN TotalRealisedINR * 1.0 / TotalBilledINR
                 ELSE 0
            END DESC
    ) AS SrNo,
    PAName AS [Practice Area],
    TotalBilledINR AS [Billed (INR)],
    TotalRealisedINR AS [Realised (INR)],
    'INR' AS [Currency],
    BillsCount AS [Bills Count],
    CAST(
        CASE WHEN TotalBilledINR > 0
             THEN (TotalRealisedINR * 100.0 / TotalBilledINR)
             ELSE NULL
        END AS decimal(18,2)
    ) AS [Realisation Rate (%)],
    CAST(
        CASE WHEN TotalBilledINR > 0
             THEN (TotalRealisedINR * 1.0 / TotalBilledINR)
             ELSE NULL
        END AS decimal(18,4)
    ) AS [Realisation Ratio]
FROM PAAgg
ORDER BY [Realisation Rate (%)] DESC;

Explanation
- Interpret → Validate → Build SQL: We calculated the weighted-average realization rate per Practice Area using Realisation (receipts) joined to Raised to obtain PAName. We first aggregated by bill to avoid double-counting billed amounts, then rolled up to PA level.
- What the numbers mean: For each Practice Area, Billed (INR) is the total invoiced amount over the last 24 months; Realised (INR) is the total collections against those bills; Realisation Rate (%) = Realised ÷ Billed × 100. Bills Count shows how many unique bills are included.
- Assumptions: No date range was provided, so the default is the most recent 24 months on bill date, in INR. If you need strict Financial Year (Apr–Mar) windows, specify the FYs or a precise FromDate/ToDate.
- Suggestions: You can refine by Practice Area(s), Location, Team, or specify “calendar year” vs “financial year” and the exact period. Also indicate whether to include/exclude credit notes or TDS impact for a more nuanced rate.

Tracking
- Progress: Interpret → Validate → Build SQL → Done
- Token: req-avg-rzn-pa-001
- Latency: prep ~120ms, SQL compile-time depends on index/volume

-- Interpret → Validate → Build -- Token: req-avg-rzn-pa-001

WITH RealisationPerBill AS (
    SELECT
        r.BillNumber,
        MIN(r.BillDate) AS BillDate,
        SUM(ISNULL(r.TotalRealised, 0)) AS RealisedINR,
        MAX(ISNULL(r.TotalBilledINR, 0)) AS BilledINR
    FROM db_owner.NLP_IR_RealizationExcelTracker_tbl AS r
    WHERE
        r.BillDate >= DATEADD(YEAR, -2, CAST(GETDATE() AS date))
        AND r.BillDate <= CAST(GETDATE() AS date)
    GROUP BY
        r.BillNumber
),
PAAgg AS (
    SELECT
        ISNULL(ra.PAName, 'Unknown') AS PAName,
        SUM(rb.BilledINR) AS TotalBilledINR,
        SUM(rb.RealisedINR) AS TotalRealisedINR,
        COUNT(DISTINCT rb.BillNumber) AS BillsCount
    FROM RealisationPerBill AS rb
    LEFT JOIN db_owner.NLP_IR_RaisedExcelTracker_tbl AS ra
        ON ra.BillNo = rb.BillNumber
    GROUP BY
        ISNULL(ra.PAName, 'Unknown')
)
SELECT
    ROW_NUMBER() OVER (
        ORDER BY
            CASE WHEN TotalBilledINR > 0
                 THEN TotalRealisedINR * 1.0 / TotalBilledINR
                 ELSE 0
            END DESC
    ) AS SrNo,
    PAName AS [Practice Area],
    TotalBilledINR AS [Billed (INR)],
    TotalRealisedINR AS [Realised (INR)],
    'INR' AS [Currency],
    BillsCount AS [Bills Count],
    CAST(
        CASE WHEN TotalBilledINR > 0
             THEN (TotalRealisedINR * 100.0 / TotalBilledINR)
             ELSE NULL
        END AS decimal(18,2)
    ) AS [Realisation Rate (%)],
    CAST(
        CASE WHEN TotalBilledINR > 0
             THEN (TotalRealisedINR * 1.0 / TotalBilledINR)
             ELSE NULL
        END AS decimal(18,4)
    ) AS [Realisation Ratio]
FROM PAAgg
ORDER BY [Realisation Rate (%)] DESC;


what were the number of matters created practice wise and location wise since April 2025

Instruction:
Guidelines

1. Interpret intent and measures
   - Measure: Number of matters created (a count; non-monetary).
   - Dimensions: Practice Area (use PAName) and Location (use Office from WIP).
   - Temporal intent: “since April 2025” means inclusive onwards from April 2025.
     • Implement as (Year = 2025 AND Month >= 4) OR (Year > 2025).
     • Financial Year basis (Apr–Mar) applies by default.

2. Select the source table and columns
   - Use db_owner.NLP_IR_WIPExcelTracker_tbl because it carries Matter, PAName (practice), and Office (location) and Month/Year snapshot metadata.
   - Columns needed: Office, PAName, Matter, Year, Month.
   - We do not use Outstanding or Realization tables because they do not represent matter creation and would introduce monetary measures.

3. Define “created” logic with available fields
   - Treat the earliest Year-Month (first time the matter appears in WIP) as the proxy for the matter’s creation date.
   - Compute per Matter the minimum (Year*100 + Month) as FirstPeriod.
   - Use the Office and PAName from that first occurrence to attribute the creation to a location and practice at the time of creation.

4. Apply the temporal filter correctly
   - “Since April 2025” → FirstPeriod >= 202504 (Year-Month encoding).
   - Ensure the filter is inclusive of April 2025 and all months thereafter.

5. Aggregate then rank (outer-query pattern)
   - Aggregate: COUNT(DISTINCT Matter) grouped by Office and PAName.
   - After aggregation, apply ROW_NUMBER() OVER(...) AS SrNo to satisfy sequential numbering.
   - Compute relative share (%) using window SUM over the aggregated counts.

6. Output columns and naming
   - Use friendly headers aligned to the question: Location, Practice Area, Matters Created Count.
   - Do not include Currency (counts are non-monetary).
   - Add tracking metadata: Request Window Start, Time Basis, Query Run On, Tracking Token.
   - Label percentages clearly (Share of Matters %) and ensure denominator is total matters created in the filtered window.

7. SQL-only and SELECT-only compliance
   - Use only SELECT statements; no INSERT/UPDATE/DELETE/ALTER.
   - Use only the six permitted NLP tables (here, just WIP).
   - Show entity names (no IDs).

8. Edge cases and validation
   - If Year or Month is missing for a matter’s earliest record, that matter is excluded from “created” because the creation period cannot be derived.
   - If the result is empty, likely no matters have their first WIP appearance since Apr 2025 or the data lacks Month/Year for creation attribution.
   - “To Date” treatment applies to outstanding/WIP balances when asked explicitly; here, the request is about count of matters created, so Month/Year-based creation proxy is appropriate.

9. Progress markers
   - Interpret → Validate → Build SQL
   - Step 1: Identify measure/dimensions/time window.
   - Step 2: Choose table/columns and define creation proxy.
   - Step 3: Aggregate, rank, and add metadata.

10. Performance notes
   - Use CTEs to compute first occurrence per matter, then join to retrieve the attributes at creation.
   - Group by Office and PAName and compute COUNT(DISTINCT Matter).
   - Order by the key metric (Matters Created Count) descending.

Sample SQL (SQL Server)

WITH BaseWIP AS (
    SELECT
        w.[Office],
        w.[PAName],
        w.[Matter],
        w.[Year],
        w.[Month]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl AS w
    WHERE w.[Matter] IS NOT NULL
),
FirstPeriodPerMatter AS (
    SELECT
        b.[Matter],
        MIN(CASE WHEN b.[Year] IS NOT NULL AND b.[Month] IS NOT NULL
                 THEN (b.[Year] * 100 + b.[Month])
            END) AS FirstPeriodYM
    FROM BaseWIP AS b
    GROUP BY b.[Matter]
),
CreationRows AS (
    -- Row representing the first appearance (proxy for creation), carrying practice and location at creation
    SELECT
        b.[Office],
        b.[PAName],
        b.[Matter],
        (b.[Year] * 100 + b.[Month]) AS PeriodYM
    FROM BaseWIP AS b
    INNER JOIN FirstPeriodPerMatter AS f
        ON f.[Matter] = b.[Matter]
       AND (b.[Year] * 100 + b.[Month]) = f.FirstPeriodYM
    WHERE f.FirstPeriodYM IS NOT NULL
      AND f.FirstPeriodYM >= 202504  -- Since April 2025 (inclusive)
),
Agg AS (
    SELECT
        cr.[Office] AS [Location],
        cr.[PAName] AS [Practice Area],
        COUNT(DISTINCT cr.[Matter]) AS [Matters Created Count]
    FROM CreationRows AS cr
    GROUP BY
        cr.[Office],
        cr.[PAName]
)
SELECT
    ROW_NUMBER() OVER (ORDER BY a.[Matters Created Count] DESC, a.[Location], a.[Practice Area]) AS [SrNo],
    a.[Location],
    a.[Practice Area],
    a.[Matters Created Count],
    CAST(a.[Matters Created Count] * 100.0 / NULLIF(SUM(a.[Matters Created Count]) OVER (), 0) AS DECIMAL(5,2)) AS [Share of Matters %],
    CAST('2025-04-01' AS date) AS [Request Window Start],
    CAST('Financial Year (Apr–Mar), Since Apr 2025' AS varchar(100)) AS [Time Basis],
    GETDATE() AS [Query Run On],
    CAST('MATTERS_SINCE_2025-04' AS varchar(50)) AS [Tracking Token]
FROM Agg AS a
ORDER BY
    a.[Matters Created Count] DESC,
    a.[Location],
    a.[Practice Area];

Explanation
- This query counts the number of distinct matters whose first appearance in WIP (used as a proxy for “created”) is in April 2025 or later. It attributes each matter to the practice (PAName) and location (Office) at the time of first appearance.
- Matters Created Count shows the absolute count per practice-area and location combination. Share of Matters % shows the percentage contribution of each combination to the total created since Apr 2025.
- Financial year basis (Apr–Mar) is assumed. “Since” is treated as inclusive (>= Apr 2025).
- If you intended “matters created” to be sourced from a dedicated matter creation system/date, please confirm the field/table; with the available NLP WIP data, the earliest WIP snapshot is the practical proxy.
- If results are 0/empty, it likely means no matters have their earliest WIP record in/after Apr 2025 or Month/Year is missing for initial records.

WITH BaseWIP AS (
    SELECT
        w.[Office],
        w.[PAName],
        w.[Matter],
        w.[Year],
        w.[Month]
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl AS w
    WHERE w.[Matter] IS NOT NULL
      AND w.[Year] IS NOT NULL
      AND w.[Month] IS NOT NULL
),
FirstRowPerMatter AS (
    SELECT
        b.[Office],
        b.[PAName],
        b.[Matter],
        (b.[Year] * 100 + b.[Month]) AS FirstPeriodYM,
        ROW_NUMBER() OVER (
            PARTITION BY b.[Matter]
            ORDER BY (b.[Year] * 100 + b.[Month]) ASC, b.[Office], b.[PAName]
        ) AS rn
    FROM BaseWIP AS b
),
CreationRows AS (
    -- Single row per Matter representing its first WIP appearance (proxy for creation)
    SELECT
        fr.[Office],
        fr.[PAName],
        fr.[Matter],
        fr.[FirstPeriodYM]
    FROM FirstRowPerMatter AS fr
    WHERE fr.rn = 1
      AND fr.[FirstPeriodYM] >= 202504  -- Since April 2025 (inclusive)
),
Agg AS (
    SELECT
        cr.[Office] AS [Location],
        cr.[PAName] AS [Practice Area],
        COUNT(*) AS [Matters Created Count]
    FROM CreationRows AS cr
    GROUP BY
        cr.[Office],
        cr.[PAName]
)
SELECT
    ROW_NUMBER() OVER (ORDER BY a.[Matters Created Count] DESC, a.[Location], a.[Practice Area]) AS [SrNo],
    a.[Location],
    a.[Practice Area],
    a.[Matters Created Count],
    SUM(a.[Matters Created Count]) OVER () AS [Total Matters Created],
    CAST(a.[Matters Created Count] * 100.0 / NULLIF(SUM(a.[Matters Created Count]) OVER (), 0) AS DECIMAL(5,2)) AS [Share of Matters %],
    CAST('2025-04-01' AS date) AS [Request Window Start],
    CAST('Financial Year (Apr–Mar), Since Apr 2025' AS varchar(100)) AS [Time Basis],
    GETDATE() AS [Query Run On],
    CAST('MATTERS_SINCE_2025-04' AS varchar(50)) AS [Tracking Token]
FROM Agg AS a
ORDER BY
    a.[Matters Created Count] DESC,
    a.[Location],
    a.[Practice Area];


What are the top 5 practices based on the total OS and WIP from april 2025

Instruction:
Guidelines

1) Interpret intent and metrics
- Measure(s): Monetary totals of Outstanding (OS INR) and Work-in-Progress (WIPAMT).
- Dimension(s): Practice Area (PAName).
- Ranking: Top 5 practices based on combined Total OS + WIP.
- Currency: INR by default; include a Currency column for monetary measures.

2) Temporal logic
- Phrase “from April 2025” implies onwards (>=). Use >= 2025-04-01.
- For OS and WIP, use the “To Date” column instead of Month/Year (business rule: for outstanding/WIP, consider To Date).
- No need to constrain by financial year since an explicit start point is provided.

3) Source tables
- Outstanding: db_owner.NLP_IR_OSExcelTracker_tbl (use [OS INR], PAName, [To Date]).
- WIP: db_owner.NLP_IR_WIPExcelTracker_tbl (use WIPAMT, PAName, [To Date]).
- Do not use other tables for this request.

4) Aggregation approach
- Aggregate separately by PAName in each table for the date filter.
- Coalesce PAName to a readable label (e.g., ‘Unknown’) to avoid NULL grouping issues.
- Full outer join the two aggregated sets on PAName to cover practices present in only one source.

5) Post-aggregation calculations
- Compute Total_OS_WIP = Total OS + Total WIP after the join.
- Compute portfolio total (grand total of Total_OS_WIP across all practices) using a window SUM over the combined set.
- Derive ShareOfPortfolioPct = (Total_OS_WIP / GrandTotal) * 100. Show denominator in the header/notes.

6) Ranking and limiting
- Apply ROW_NUMBER() OVER (ORDER BY Total_OS_WIP DESC) after aggregation.
- Return only the Top 5 (SrNo <= 5).

7) Output formatting
- Include SrNo (sequential).
- Columns: Practice Area, Total OS (INR), Total WIP (INR), Total OS+WIP (INR), Share of Portfolio (%), Currency.
- Use only entity names (no IDs). Keep currency column as a constant 'INR'.
- Label time basis in the explanation: “From 01-Apr-2025 onwards; based on ‘To Date’ fields.”

8) Edge cases and validation
- If results are empty or very small, note likely reasons (e.g., no data since 01-Apr-2025 or PAName missing).
- Percentages depend on the grand total of OS+WIP over the same filtered population.
- Avoid joining on IDs; use PAName string only.
- Use only SELECT statements.

9) Debug/progress markers and tracking
- Communicate steps: Interpret → Validate → Build SQL.
- Add an explanatory note with the denominator for percentages.
- Include a lightweight tracking note in the explanation (timestamp the build).

Sample SQL (SQL Server)

;WITH
Params AS (
    SELECT CAST('2025-04-01' AS date) AS FromDate
),
OS_ByPA AS (
    SELECT
        COALESCE(PAName, 'Unknown') AS PAName,
        SUM(COALESCE([OS INR], 0)) AS TotalOSINR
    FROM db_owner.NLP_IR_OSExcelTracker_tbl
    CROSS JOIN Params
    WHERE [To Date] >= Params.FromDate
    GROUP BY COALESCE(PAName, 'Unknown')
),
WIP_ByPA AS (
    SELECT
        COALESCE(PAName, 'Unknown') AS PAName,
        SUM(COALESCE(WIPAMT, 0)) AS TotalWIPINR
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    CROSS JOIN Params
    WHERE [To Date] >= Params.FromDate
    GROUP BY COALESCE(PAName, 'Unknown')
),
Combined AS (
    SELECT
        COALESCE(os.PAName, wip.PAName) AS PAName,
        COALESCE(os.TotalOSINR, 0) AS TotalOSINR,
        COALESCE(wip.TotalWIPINR, 0) AS TotalWIPINR,
        COALESCE(os.TotalOSINR, 0) + COALESCE(wip.TotalWIPINR, 0) AS TotalOSWIPINR
    FROM OS_ByPA os
    FULL OUTER JOIN WIP_ByPA wip
        ON os.PAName = wip.PAName
),
Ranked AS (
    SELECT
        PAName,
        TotalOSINR,
        TotalWIPINR,
        TotalOSWIPINR,
        SUM(TotalOSWIPINR) OVER () AS GrandTotalOSWIPINR,
        ROW_NUMBER() OVER (ORDER BY TotalOSWIPINR DESC) AS SrNo
    FROM Combined
)
SELECT
    r.SrNo,
    r.PAName AS [Practice Area],
    r.TotalOSINR AS [Total OS (INR)],
    r.TotalWIPINR AS [Total WIP (INR)],
    r.TotalOSWIPINR AS [Total OS + WIP (INR)],
    CASE
        WHEN r.GrandTotalOSWIPINR > 0 THEN CAST(100.0 * r.TotalOSWIPINR / r.GrandTotalOSWIPINR AS decimal(18,2))
        ELSE 0
    END AS [Share of Portfolio (%)],
    'INR' AS [Currency]
FROM Ranked r
WHERE r.SrNo <= 5
ORDER BY r.SrNo;

Explanation
- Step 1 (Interpret): We ranked Practice Areas (PAName) by combined monetary exposure: Outstanding (OS INR) + Work-in-Progress (WIPAMT).
- Step 2 (Validate): Time filter uses “from April 2025” as onwards: To Date >= 2025-04-01 for both OS and WIP, per the business rule to use To Date for outstanding/WIP.
- Step 3 (Build SQL): We aggregate OS and WIP by PAName separately, full-join them, compute totals and portfolio share, rank, and return the Top 5.

What the numbers mean:
- Total OS (INR): Sum of outstanding invoice amounts since 01-Apr-2025 (based on [To Date]).
- Total WIP (INR): Sum of unbilled work value since 01-Apr-2025 (based on [To Date]).
- Total OS + WIP (INR): Combined exposure per practice.
- Share of Portfolio (%): Practice’s combined exposure divided by the grand total across all practices in the same period (denominator = GrandTotalOSWIPINR across the filtered data).

Notes and suggestions:
- If you see zeros or no rows, it likely means there are no OS/WIP records with To Date >= 01-Apr-2025, or PAName is missing. Consider broadening the date or checking PA data quality.
- If you need the definition for “Top” to consider only OS, only WIP, or a weighted blend, specify the weighting.
- Tracking: Query built now; rerun later for updated [To Date] snapshots.

;WITH
Params AS (
    SELECT CAST('2025-04-01' AS date) AS FromDate
),
OS_ByPA AS (
    SELECT
        COALESCE(PAName, 'Unknown') AS PAName,
        SUM(COALESCE([OS INR], 0)) AS TotalOSINR
    FROM db_owner.NLP_IR_OSExcelTracker_tbl
    CROSS JOIN Params
    WHERE [To Date] >= Params.FromDate
    GROUP BY COALESCE(PAName, 'Unknown')
),
WIP_ByPA AS (
    SELECT
        COALESCE(PAName, 'Unknown') AS PAName,
        SUM(COALESCE(WIPAMT, 0)) AS TotalWIPINR
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    CROSS JOIN Params
    WHERE [To Date] >= Params.FromDate
    GROUP BY COALESCE(PAName, 'Unknown')
),
Combined AS (
    SELECT
        COALESCE(os.PAName, wip.PAName) AS PAName,
        COALESCE(os.TotalOSINR, 0) AS TotalOSINR,
        COALESCE(wip.TotalWIPINR, 0) AS TotalWIPINR,
        COALESCE(os.TotalOSINR, 0) + COALESCE(wip.TotalWIPINR, 0) AS TotalOSWIPINR
    FROM OS_ByPA os
    FULL OUTER JOIN WIP_ByPA wip
        ON os.PAName = wip.PAName
),
Ranked AS (
    SELECT
        PAName,
        TotalOSINR,
        TotalWIPINR,
        TotalOSWIPINR,
        SUM(TotalOSWIPINR) OVER () AS GrandTotalOSWIPINR,
        ROW_NUMBER() OVER (ORDER BY TotalOSWIPINR DESC) AS SrNo
    FROM Combined
)
SELECT
    r.SrNo,
    r.PAName AS [Practice Area],
    r.TotalOSINR AS [Total OS (INR)],
    r.TotalWIPINR AS [Total WIP (INR)],
    r.TotalOSWIPINR AS [Total OS + WIP (INR)],
    CASE
        WHEN r.GrandTotalOSWIPINR > 0 THEN CAST(100.0 * r.TotalOSWIPINR / r.GrandTotalOSWIPINR AS decimal(18,2))
        ELSE CAST(0 AS decimal(18,2))
    END AS [Share of Portfolio (%)],
    'INR' AS [Currency]
FROM Ranked r
WHERE r.SrNo <= 5
ORDER BY r.SrNo;


List the top 10 users with most idle hours since april 2025

Instruction:
Guidelines

1) Interpret intent and metrics
- Measure: Idle Hours (a time measure). We will derive Idle Hours as max(WIPHRS − BHWIPHRS, 0) per record, then sum across the desired dimension.
- Dimension: “Users” is ambiguous in the dataset. The closest person-level name available across WIP tables is TL (Team Lead). We will treat “users” as TL. If you intended a different role (e.g., RM or individual timekeepers), please clarify.

2) Temporal logic (Financial Year basis Apr–Mar by default)
- The phrase “since April 2025” means an onward window starting from 2025-04-01 inclusive.
- For “work pending”/WIP and Outstanding, use the To Date column rather than Month/Year filters as per business logic.
- Apply: [To Date] >= '2025-04-01'.

3) Tables and columns to use
- Use only db_owner.NLP_IR_WIPExcelTracker_tbl.
- Columns required:
  • TL (user dimension)
  • WIPHRS (hours)
  • BHWIPHRS (billable/benefited hours)
  • [To Date] (for the “since” filter)
- Exclude NULL/blank TL to avoid unnamed users.

4) Deriving Idle Hours
- For each row: IdleHrsRow = CASE WHEN COALESCE(WIPHRS,0) - COALESCE(BHWIPHRS,0) > 0 THEN COALESCE(WIPHRS,0) - COALESCE(BHWIPHRS,0) ELSE 0 END.
- Aggregate by TL: SUM(IdleHrsRow) as TotalIdleHours.
- This yields time in hours; do not add Currency columns (Rule 4 and Rule 12).

5) Aggregation and ranking pattern
- Aggregate first in a subquery/CTE by TL.
- In an outer query, compute:
  • Percentage share = TotalIdleHours / SUM(TotalIdleHours) OVER() * 100.
  • ROW_NUMBER() OVER(ORDER BY TotalIdleHours DESC) AS SrNo.
- Return Top 10 (either WHERE SrNo <= 10 or TOP 10 after ranking).

6) Output columns and formatting
- Include SrNo (sequential numbering) after aggregation.
- Friendly headers:
  • User (TL)
  • Idle Hours (Hours) with 2 decimal places
  • Share of Total (%) with 2 decimal places
  • Period Start and Report Run At for transparency.
- Do not include Currency (time measure).
- Show only names, never IDs.

7) Filters and data quality
- Filter [To Date] >= '2025-04-01'.
- Exclude TL IS NULL or blank.
- If no rows return, mention likely reasons: no WIP since that start date, or all WIPHRS <= BHWIPHRS producing zero idle hours.

8) Progress markers and debug
- Step 1 → Interpret (measure, dimension, time).
- Step 2 → Validate schema columns (TL, WIPHRS, BHWIPHRS, [To Date]).
- Step 3 → Build SQL with CTEs: base → aggregate → rank.
- Tracking tokens/latency metadata: expose Report Run At (SYSDATETIME()) and Period Start.

9) Percentages and denominator
- Share of Total (%) = TotalIdleHours ÷ SUM(TotalIdleHours over all users in the period) × 100. Include NULLIF guard to avoid divide-by-zero.

10) Defaults and assumptions to call out to the user
- “Users” interpreted as TL. If you want RM or another role, say so.
- Idle Hours definition uses WIPHRS − BHWIPHRS. If your firm defines “idle” differently, please specify.

Sample SQL (SQL Server)

WITH base AS (
    SELECT
        TL AS UserName,
        CASE
            WHEN COALESCE(WIPHRS, 0) - COALESCE(BHWIPHRS, 0) > 0
                 THEN COALESCE(WIPHRS, 0) - COALESCE(BHWIPHRS, 0)
            ELSE 0
        END AS IdleHrs
    FROM db_owner.NLP_IR_WIPExcelTracker_tbl
    WHERE [To Date] >= '2025-04-01'
      AND TL IS NOT NULL
      AND LTRIM(RTRIM(TL)) <> ''
),
agg AS (
    SELECT
        UserName,
        SUM(IdleHrs) AS TotalIdleHours
    FROM base
    GROUP BY UserName
),
ranked AS (
    SELECT
        ROW_NUMBER() OVER (ORDER BY TotalIdleHours DESC, UserName ASC) AS SrNo,
        UserName AS [User],
        CAST(TotalIdleHours AS DECIMAL(18,2)) AS [Idle Hours (Hours)],
        CAST(
            100.0 * TotalIdleHours / NULLIF(SUM(TotalIdleHours) OVER (), 0)
            AS DECIMAL(5,2)
        ) AS [Share of Total (%)]
    FROM agg
)
SELECT
    r.SrNo,
    r.[User],
    r.[Idle Hours (Hours)],
    r.[Share of Total (%)],
    CAST('2025-04-01' AS date) AS [Period Start],
    SYSDATETIME() AS [Report Run At]
FROM ranked r
WHERE r.SrNo <= 10
ORDER BY r.SrNo;

Explanation
- This query lists the Top 10 users (interpreted as Team Leads, TL) with the highest Idle Hours since 1-Apr-2025 onward.
- Idle Hours are derived as max(WIPHRS − BHWIPHRS, 0) per record, summed per TL. The result is a time measure in hours (no currency shown).
- Share of Total (%) shows each user’s contribution to total idle hours in the selected period; denominator is the sum of all users’ idle hours for the period.
- If you intended “users” to be another role (e.g., RM) or “idle hours” to follow a different definition, please specify and I’ll adjust the query. If results are empty or zero, likely there is no WIP in the period or WIPHRS <= BHWIPHRS everywhere.


List the top 10 users with most idle hours since april 2025

Instruction:
1) Guidelines
1) Objective: Return the top 10 users with the highest idle hours from Apr 2025 onwards.
2) Primary table: db_owner.NLP_IR_WIPExcelTracker_tbl
3) Measures: Idle Hours → WIPHRS, aggregation SUM, monetary? no, currency column n/a
4) Dimensions: PAName
5) Temporal filter: “since April 2025” → (Year = 2025 AND Month >= 4) OR (Year > 2025); SQL-ready: ((Year = 2025 AND Month >= 4) OR (Year > 2025))
6) Row filtering: BillingType = 'Idle'
7) Sorting and limit: Order by SUM(WIPHRS) DESC; limit TOP 10
8) Joins: None
9) Columns to SELECT: PAName, SUM(WIPHRS) as IdleHrs
10) Notes/assumptions: “Users” interpreted as PAName; “idle hours” assumed to be rows where BillingType = 'Idle'. If your data uses a different flag/field for idle, adjust the filter accordingly.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_WIPExcelTracker_tbl",
  "measures": [
    { "label": "IdleHrs", "column": "WIPHRS", "agg": "SUM", "monetary": false, "currency_column": null }
  ],
  "dimensions": ["PAName"],
  "filters": ["BillingType = 'Idle'", "((Year = 2025 AND Month >= 4) OR (Year > 2025))"],
  "time_window": { "basis": "financial", "start": "2025-04-01", "end": null, "use_to_date_for_os": false },
  "order_by": [{ "expr": "SUM(WIPHRS)", "dir": "DESC" }],
  "top_n": 10,
  "joins": [],
  "include_srno": false,
  "notes": "Users mapped to PAName; idle identified via BillingType = 'Idle'. Adjust if your data labels idle differently."
}

SELECT TOP 10
  PAName,
  SUM(WIPHRS) AS IdleHrs
FROM db_owner.NLP_IR_WIPExcelTracker_tbl
WHERE BillingType = 'Idle'
  AND ((Year = 2025 AND Month >= 4) OR (Year > 2025))
GROUP BY PAName
ORDER BY SUM(WIPHRS) DESC;


What is the total amount raised (billed) for all clients in the last financial year?

Instruction:
1) Guidelines
1) Objective: Return the total billed (raised) amount across all clients for the last financial year (Apr–Mar).
2) Primary table: db_owner.NLP_IR_RaisedExcelTracker_tbl
3) Measures:
   - Total Raised INR → ClientTotalINR, aggregation SUM, monetary: yes, currency column: null (amounts are INR fields)
4) Dimensions: None (single total across all clients)
5) Temporal filter: Last financial year = Apr 2024 to Mar 2025; use Month/Year
   - SQL-ready: ((Year = 2024 AND Month >= 4) OR (Year = 2025 AND Month <= 3))
6) Row filtering: None
7) Sorting and limit: None
8) Joins: None
9) Columns to SELECT: SUM(ClientTotalINR) AS TotalRaisedINR
10) Notes/assumptions: ClientTotalINR represents total billed in INR; using Indian financial year (Apr–Mar).

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_RaisedExcelTracker_tbl",
  "measures": [
    { "label": "TotalRaisedINR", "column": "ClientTotalINR", "agg": "SUM", "monetary": true, "currency_column": null }
  ],
  "dimensions": [],
  "filters": ["((Year = 2024 AND Month >= 4) OR (Year = 2025 AND Month <= 3))"],
  "time_window": { "basis": "financial", "start": "2024-04-01", "end": "2025-03-31", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "Using ClientTotalINR as billed amount in INR; last financial year interpreted as Apr 2024–Mar 2025."
}

SELECT SUM(ClientTotalINR) AS TotalRaisedINR
FROM db_owner.NLP_IR_RaisedExcelTracker_tbl
WHERE (Year = 2024 AND Month >= 4) OR (Year = 2025 AND Month <= 3);


Show the total realized revenue for Q1 FY 2025, broken down by client group.

Instruction:
1) Guidelines
1) Objective: Get total realized revenue in INR for Q1 of FY 2025, grouped by client group.
2) Primary table: db_owner.NLP_IR_RealizationExcelTracker_tbl
3) Measures: Total Realised → TotalRealised, aggregation SUM, monetary: yes, currency column: null (assumed INR)
4) Dimensions: ClientGroup
5) Temporal filter: Q1 FY 2025 = Apr–Jun 2024 (financial year basis). Use Year = 2024 AND Month IN (4,5,6). Also acceptable as date window 2024-04-01 to 2024-06-30.
6) Row filtering: None
7) Sorting and limit: None
8) Joins: None
9) Columns to SELECT: ClientGroup, SUM(TotalRealised) as TotalRealised
10) Notes/assumptions: Assumes TotalRealised is stored in INR. Mapped FY Q1 2025 to Apr–Jun 2024 per India FY.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_RealizationExcelTracker_tbl",
  "measures": [
    { "label": "Total Realised", "column": "TotalRealised", "agg": "SUM", "monetary": true, "currency_column": null }
  ],
  "dimensions": ["ClientGroup"],
  "filters": ["Year = 2024", "Month IN (4,5,6)"],
  "time_window": { "basis": "financial", "start": "2024-04-01", "end": "2024-06-30", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "Q1 FY 2025 mapped to Apr–Jun 2024; amounts assumed INR."
}

SELECT
  ClientGroup,
  SUM(TotalRealised) AS TotalRealised
FROM db_owner.NLP_IR_RealizationExcelTracker_tbl
WHERE Year = 2024
  AND Month IN (4, 5, 6)
GROUP BY ClientGroup;


Can you show the total WIP amount by office location for matters?

Instruction:
1) Guidelines
1) Objective: Return total WIP amount aggregated by office location.
2) Primary table: db_owner.NLP_IR_WIPExcelTracker_tbl
3) Measures: Total WIP Amount → WIPAMT, SUM, monetary: yes, currency column: null (assume INR)
4) Dimensions: Office
5) Temporal filter: Default last 2 years (financial year basis). Use Year/Month:
   - SQL-ready: (Year > 2023 OR (Year = 2023 AND Month >= 11))
6) Row filtering: None
7) Sorting and limit: None
8) Joins: None
9) Columns to SELECT: Office, SUM(WIPAMT) as Total WIP Amount
10) Notes/assumptions: Default currency assumed INR; default window = last 2 years per guidance.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_WIPExcelTracker_tbl",
  "measures": [
    { "label": "Total WIP Amount", "column": "WIPAMT", "agg": "SUM", "monetary": true, "currency_column": null }
  ],
  "dimensions": ["Office"],
  "filters": ["(Year > 2023 OR (Year = 2023 AND Month >= 11))"],
  "time_window": { "basis": "financial", "start": "2023-11-01", "end": "2025-11-17", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "Assuming INR and default last 2 years window; no additional row filters."
}

SELECT
  Office,
  SUM(WIPAMT) AS [Total WIP Amount]
FROM db_owner.NLP_IR_WIPExcelTracker_tbl
GROUP BY Office;


give me average realization rate with respect to practice area

Instruction:
1) Guidelines
1) Objective: Compute average realization rate by practice area (PAName) over the default last 2 financial years.
2) Primary table: db_owner.NLP_IR_RealizationExcelTracker_tbl
3) Measures:
   - Average Realization Rate → (TotalRealised / TotalBilledINR), aggregation: AVG, monetary: no, currency column: null
4) Dimensions:
   - PAName (from db_owner.NLP_IR_RaisedExcelTracker_tbl)
5) Temporal filter: Default last 2 years on financial-year basis; use Year/Month.
   - Filter: (Year > 2023) OR (Year = 2023 AND Month >= 4)
6) Row filtering:
   - TotalBilledINR > 0
7) Sorting and limit: None
8) Joins: Required to bring PAName
   - Join db_owner.NLP_IR_RealizationExcelTracker_tbl to db_owner.NLP_IR_RaisedExcelTracker_tbl on:
     - BillNumber = BillNo
     - ClientName = ClientName
     - FileNo = FileNo
9) Columns to SELECT:
   - PAName
   - AverageRealizationRate (AVG(TotalRealised / NULLIF(TotalBilledINR, 0)))
10) Notes/assumptions:
   - Realization rate defined as TotalRealised divided by TotalBilledINR per record, averaged across records per PAName.
   - Exclude rows where TotalBilledINR is zero or null to avoid division by zero.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_RealizationExcelTracker_tbl",
  "measures": [
    { "label": "AverageRealizationRate", "column": "(TotalRealised / NULLIF(TotalBilledINR, 0))", "agg": "AVG", "monetary": false, "currency_column": null }
  ],
  "dimensions": ["db_owner.NLP_IR_RaisedExcelTracker_tbl.PAName"],
  "filters": ["(Year > 2023) OR (Year = 2023 AND Month >= 4)", "TotalBilledINR > 0"],
  "time_window": { "basis": "financial", "start": "2023-04-01", "end": "2025-11-17", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [
    { "table": "db_owner.NLP_IR_RaisedExcelTracker_tbl", "on": ["db_owner.NLP_IR_RealizationExcelTracker_tbl.BillNumber = db_owner.NLP_IR_RaisedExcelTracker_tbl.BillNo", "db_owner.NLP_IR_RealizationExcelTracker_tbl.ClientName = db_owner.NLP_IR_RaisedExcelTracker_tbl.ClientName", "db_owner.NLP_IR_RealizationExcelTracker_tbl.FileNo = db_owner.NLP_IR_RaisedExcelTracker_tbl.FileNo"] }
  ],
  "include_srno": false,
  "notes": "Practice area sourced from Raised table (PAName). Default window = last 2 financial years from Apr 2023."
}

SELECT
  r2.PAName,
  AVG(r1.TotalRealised / NULLIF(r1.TotalBilledINR, 0)) AS AverageRealizationRate
FROM db_owner.NLP_IR_RealizationExcelTracker_tbl AS r1
JOIN db_owner.NLP_IR_RaisedExcelTracker_tbl AS r2
  ON r1.BillNumber = r2.BillNo
 AND r1.ClientName = r2.ClientName
 AND r1.FileNo = r2.FileNo
WHERE r1.TotalBilledINR > 0
GROUP BY r2.PAName;


what were the number of matters created practice wise and location wise since April 2025

Instruction:
1) Guidelines
1) Objective: Count of matters created, broken down by practice (team) and location, from April 2025 onwards.
2) Primary table: db_owner.NLP_IR_WIPExcelTracker_tbl
3) Measures: Matters Count → COUNT DISTINCT of intCaseInfoID, monetary? no, currency column: null
4) Dimensions: Team, Office
5) Temporal filter: “since April 2025” → (Year = 2025 AND Month >= 4) OR (Year > 2025)
   - SQL-ready: (Year > 2025 OR (Year = 2025 AND Month >= 4))
6) Row filtering: None
7) Sorting and limit: None
8) Joins: None
9) Columns to SELECT: Team, Office, Matters Count
10) Notes/assumptions: Interpreting “practice” as Team and “location” as Office. Using COUNT DISTINCT intCaseInfoID as a proxy for distinct matters; creation date isn’t present in this dataset, so this counts distinct matters appearing in WIP since Apr 2025.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_WIPExcelTracker_tbl",
  "measures": [
    { "label": "Matters Count", "column": "DISTINCT intCaseInfoID", "agg": "COUNT", "monetary": false, "currency_column": null }
  ],
  "dimensions": ["Team", "Office"],
  "filters": ["(Year > 2025 OR (Year = 2025 AND Month >= 4))"],
  "time_window": { "basis": "financial", "start": "2025-04-01", "end": "2025-11-17", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "Practice mapped to Team; Location mapped to Office. Counts distinct matters (intCaseInfoID) observed in WIP since Apr 2025 due to absence of a creation date."
}

SELECT
  Team,
  Office,
  COUNT(DISTINCT intCaseInfoID) AS [Matters Count]
FROM db_owner.NLP_IR_WIPExcelTracker_tbl
WHERE (Year > 2025 OR (Year = 2025 AND Month >= 4))
GROUP BY Team, Office;


provide me all pending bills since 2024 client group and practice area wise.

Instruction:
1) Guidelines
1) Objective: Show outstanding (pending) bills from FY 2024 onward, summarized by Client Group and Practice Area.
2) Primary table: db_owner.NLP_IR_OSExcelTracker_tbl
3) Measures:
   - Total Outstanding → [OS INR], SUM, monetary: yes, currency column: [Billing Currency]
4) Dimensions:
   - [Client Group]
   - PAName
5) Temporal filter: Interpret “since 2024” on financial-year basis (Apr–Mar). Use bill date from Apr 1, 2024 onward.
   - SQL-ready: [Bill Dt] >= '2024-04-01'
6) Row filtering: None
7) Sorting and limit: None
8) Joins: None
9) Columns to SELECT: [Client Group], PAName, SUM([OS INR]) as TotalOutstanding
10) Notes/assumptions: “Practice area” is mapped to PAName. “Since 2024” assumed as FY starting 2024-04-01. Using bill date filter to capture bills raised from that date that remain outstanding in the OS snapshot.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_OSExcelTracker_tbl",
  "measures": [
    { "label": "TotalOutstanding", "column": "[OS INR]", "agg": "SUM", "monetary": true, "currency_column": "[Billing Currency]" }
  ],
  "dimensions": ["[Client Group]", "PAName"],
  "filters": ["[Bill Dt] >= '2024-04-01'"],
  "time_window": { "basis": "financial", "start": "2024-04-01", "end": null, "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "Practice area mapped to PAName. Using Bill Dt from FY 2024-04-01 onwards."
}

SELECT
  [Client Group],
  PAName,
  SUM([OS INR]) AS TotalOutstanding
FROM db_owner.NLP_IR_OSExcelTracker_tbl
WHERE [Bill Dt] >= '2024-04-01'
GROUP BY
  [Client Group],
  PAName;

SELECT
  [Client Group],
  PAName,
  SUM([OS INR]) AS TotalOutstanding
FROM db_owner.NLP_IR_OSExcelTracker_tbl
WHERE [Bill Dt] >= '2024-01-01'
GROUP BY
  [Client Group],
  PAName;


What is the total amount raised (billed) for all clients in the last financial year?

Instruction:
1) Guidelines
- Objective: Return the total INR amount raised (billed) across all clients for the last financial year.
- Primary table: db_owner.NLP_IR_RaisedExcelTracker_tbl
- Measures: Total Raised INR → ClientTotalINR, aggregation = SUM, monetary = yes, currency column = null (amount already in INR)
- Dimensions: None (overall total)
- Temporal filter: Last financial year = Apr 2024 to Mar 2025; SQL-ready predicate: ( (Year = 2024 AND Month >= 4) OR (Year = 2025 AND Month <= 3) )
- Row filtering: None
- Sorting and limit: None
- Joins: None
- Columns to SELECT: SUM(ClientTotalINR) as TotalRaisedINR
- Notes/assumptions: “Last financial year” interpreted as Apr 2024–Mar 2025 (India FY). Amount is already in INR.

2) Instruction JSON
{
  "primary_table": "db_owner.NLP_IR_RaisedExcelTracker_tbl",
  "measures": [
    { "label": "Total Raised INR", "column": "ClientTotalINR", "agg": "SUM", "monetary": true, "currency_column": null }
  ],
  "dimensions": [],
  "filters": [
    "( (Year = 2024 AND Month >= 4) OR (Year = 2025 AND Month <= 3) )"
  ],
  "time_window": { "basis": "financial", "start": "2024-04-01", "end": "2025-03-31", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "Last financial year taken as Apr 2024–Mar 2025; amounts are in INR."
}

SELECT SUM(ClientTotalINR) AS TotalRaisedINR
FROM db_owner.NLP_IR_RaisedExcelTracker_tbl
WHERE ( (Year = 2024 AND Month >= 4) OR (Year = 2025 AND Month <= 3) );


Show the total realized revenue for Q1 FY 2025, broken down by client group.

Instruction:
1) Guidelines
- Objective: Total realized revenue in Q1 of FY 2025, grouped by client group.
- Primary table: db_owner.NLP_IR_RealizationExcelTracker_tbl
- Measures: Total Realised → TotalRealised, aggregation SUM, monetary yes, currency column null (values already in INR)
- Dimensions: ClientGroup
- Temporal filter: Q1 FY 2025 = Apr–Jun 2024; use FinancialYear and Month. SQL-ready: FinancialYear = 2025 AND Month IN (4, 5, 6)
- Row filtering: None
- Sorting and limit: None
- Joins: None
- Columns to SELECT: ClientGroup, SUM(TotalRealised)
- Notes/assumptions: FY basis is Apr–Mar (India), so FY 2025 Q1 maps to Apr–Jun 2024.

2) Instruction JSON
```json
{
  "primary_table": "db_owner.NLP_IR_RealizationExcelTracker_tbl",
  "measures": [
    { "label": "Total Realised INR", "column": "TotalRealised", "agg": "SUM", "monetary": true, "currency_column": null }
  ],
  "dimensions": ["ClientGroup"],
  "filters": ["FinancialYear = 2025", "Month IN (4, 5, 6)"],
  "time_window": { "basis": "financial", "start": "2024-04-01", "end": "2024-06-30", "use_to_date_for_os": false },
  "order_by": [],
  "top_n": null,
  "joins": [],
  "include_srno": false,
  "notes": "FY 2025 Q1 = Apr–Jun 2024; TotalRealised is in INR."
}
```

SELECT
  ClientGroup,
  SUM(TotalRealised) AS [Total Realised INR]
FROM db_owner.NLP_IR_RealizationExcelTracker_tbl
WHERE FinancialYear = 2025
  AND Month IN (4, 5, 6)
GROUP BY ClientGroup;