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如何从产品图纸中提取内容并生成工序流程图process flow chart?

从产品图纸中提取内容并生成工序流程图（process flow chart）通常涉及多个步骤。以下是一个可能的流程：

1. **理解产品图纸**：
   - 详细查看产品图纸，理解设计意图和产品结构。这可能包括零件、材料、尺寸、连接方式等信息。

2. **识别关键元素**：
   - 识别图纸中的关键元素，比如主要部件、组装步骤、工艺要求、检验点等。

3. **定义工艺步骤**：
   - 根据识别出的元素，确定制造或组装产品的具体步骤。这些步骤可能包括切割、加工、组装、测试等。

4. **确定流程顺序**：
   - 确定各个步骤的先后顺序，确保工序流程图的逻辑性。例如，某些步骤可能是并行进行的，而另一些则必须顺序执行。

5. **选择合适的工具**：
   - 选择一个合适的绘图工具或软件来创建工序流程图。常用的软件包括Microsoft Visio、Lucidchart、Draw.io等。

6. **绘制流程图**：
   - 在工具中根据识别出的步骤和顺序，使用标准符号（如开始、过程、判断、结束等）绘制流程图。确保每个步骤都有明确的描述，并且箭头清楚地显示流程方向。

7. **审核和修改**：
   - 审核绘制完成的流程图，确保信息完整、准确，并符合实际生产流程。如果可能，可与相关人员（如工程师、生产经理等）讨论以获得反馈。

8. **文档化和共享**：
   - 将最终的工序流程图文档化，并与团队成员和相关部门共享，以确保大家对生产流程有统一的理解。

这些步骤可以帮助你从产品图纸中提取信息并生成清晰、有条理的工序流程图，为后续的生产和管理提供参考。

如何开发这样一个项目：1.输入pdf图纸 2.提取图纸内容，对产品内容进行分析总结 3. 进而生成process flowchart 4. 根据的流程图，生成process special checklist ，对每一个工序需要注意的点进行提取（内容可能来自图纸，如产品的合格要求和注意事项）

开发这样一个项目需要综合运用多个技术领域，包括计算机视觉、自然语言处理（NLP）、流程建模等。以下是一个高层次的项目开发步骤：

### 项目开发步骤

1. **确定项目需求**：
   - 定义项目的功能和目标，明确输入和输出，了解目标用户的需求，确定处理的图纸类型（如机械图纸、电子图纸等）。

2. **数据收集与整理**：
   - 收集多种类型的产品图纸（如PDF格式），并准备相应的标注数据，便于后期的测试和模型训练。

3. **技术选型**：
   - 确定所需的技术栈和工具。可考虑使用以下技术：
     - **OCR（光学字符识别）**：提取PDF中的文本内容（如Tesseract）。
     - **计算机视觉工具**：处理图纸中的图形信息（如OpenCV）。
     - **自然语言处理（NLP）工具**：分析文本、识别关键词和关键点（如spaCy、NLTK）。
     - **流程图生成工具**：可考虑图形绘制库（如Graphviz）进行流程图的可视化。
     - **数据库**：存储和管理提取的图纸信息和生成的内容（如MySQL、MongoDB）。

4. **模块开发**：

   - **模块1：图纸内容提取**
     - 使用OCR技术从PDF图纸中提取文本与图形信息。
     - 可能需要设计手动校正或人工审核的工具，以提高提取的准确度。

   - **模块2：产品内容分析**
     - 编写分析逻辑，识别产品的关键部件和要求。
     - 通过NLP处理提取的文本，识别合格标准、注意事项等。
  
   - **模块3：生成工序流程图**
     - 根据分析输出的工序步骤，利用图形库生成流程图。
     - 确保流程图逻辑性和清晰度，用户能够直观理解。

   - **模块4：生成工序检查清单**
     - 从分析的结果中提取每个工序所需的注意事项和合格要求。
     - 生成结构化的检查清单，方便后续对每个工序进行检查。

5. **集成与测试**：
   - 将各个模块进行集成，确保数据流和功能的连贯性。
   - 进行全面的测试，包括功能测试、用户体验测试和性能测试，确保系统稳定性。

6. **用户界面设计**：
   - 设计简洁直观的用户操作界面，以方便用户输入图纸并查看输出结果。
   - 确保界面响应速度快，用户操作友好。

7. **文档与培训**：
   - 编写用户手册和开发文档，说明系统使用方法和技术细节。
   - 如果需要，进行用户培训，以帮助用户理解和使用系统。

8. **部署与维护**：
   - 将系统部署到目标环境中，确保能正常运行。
   - 建立持续维护和更新机制，以应对用户反馈和技术变化。

### 技术实现细节

- **OCR实现**：利用开源OCR库（如Tesseract）从PDF中提取文本，可能需要针对图纸的特殊排版进行优化。
- **图形识别**：结合OpenCV等工具处理和分析图纸中的图形元素，包括形状和连接。
- **NLP处理**：使用预训练模型从提取的文本中提取关键词、短语，构建规则以识别合格标准。
- **流程图生成**：使用Graphviz或其他图形绘制工具，确保流程的逻辑性和可读性。

通过以上步骤，您可以逐步开发出一个能够从PDF产品图纸中提取信息并生成工序流程图和检查清单的系统。这是一个跨学科的项目，因此需要多方协作，尤其是在信息提取和流程建模方面。希望这个框架能够为您提供开发项目的启发！

You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_sold_time_sk) references time_dim(t_time_sk);', 'web_sales(ws_ship_customer_sk) references customer(c_customer_sk);', 'web_sales(ws_bill_addr_sk) references customer_address(ca_address_sk);']
3. The original query must employ 0 joins.
4. The original query must employ the following operators in its WHERE clause: ['EXISTS', 'OR'].
5. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.

Here is a new pair of original and rewritten queries that adhere to the provided SQL rewrite rule:

[ORIGINAL QUERY]
```sql
select 
    case when (select count(*) from web_sales where ws_sold_time_sk between 1 and 1000) > 500 then 
        (select avg(ws_sales_price) from web_sales where ws_sold_time_sk between 1 and 1000) 
    else 
        (select avg(ws_discount) from web_sales where ws_sold_time_sk between 1 and 1000) 
    end as sales_bucket1,
    case when (select count(*) from web_sales where ws_sold_time_sk between 1001 and 2000) > 1500 then 
        (select avg(ws_sales_price) from web_sales where ws_sold_time_sk between 1001 and 2000) 
    else 
        (select avg(ws_discount) from web_sales where ws_sold_time_sk between 1001 and 2000) 
    end as sales_bucket2
from dual
where exists (select 1 from customer where c_customer_sk = 1) 
    or exists (select 1 from customer_address where ca_address_sk = 1);
```

[REWRITTEN QUERY]
```sql
select 
    case when count(case when ws_sold_time_sk between 1 and 1000 then 1 end) > 500 then 
        avg(case when ws_sold_time_sk between 1 and 1000 then ws_sales_price end) 
    else 
        avg(case when ws_sold_time_sk between 1 and 1000 then ws_discount end) 
    end as sales_bucket1,
    case when count(case when ws_sold_time_sk between 1001 and 2000 then 1 end) > 1500 then 
        avg(case when ws_sold_time_sk between 1001 and 2000 then ws_sales_price end) 
    else 
        avg(case when ws_sold_time_sk between 1001 and 2000 then ws_discount end) 
    end as sales_bucket2
from web_sales 
where exists (select 1 from customer where c_customer_sk = 1) 
    or exists (select 1 from customer_address where ca_address_sk = 1);
```

### Explanation:
- The original query performs multiple subqueries against the `web_sales` table to calculate aggregates based on the `ws_sold_time_sk` ranges, scanning the `web_sales` table multiple times.
- The rewritten query scans the `web_sales` table only once, leveraging `CASE` statements to conditionally compute both the count and averages required. The necessary `WHERE` clause filters from the original subqueries are retained.
- Both queries maintain their logical equivalence while optimizing performance according to the rewrite rule provided.

You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['catalog_sales']. Below is the join graph for these fact tables:
    ['catalog_sales(cs_sold_time_sk) references time_dim(t_time_sk);', 'catalog_sales(cs_ship_addr_sk) references customer_address(ca_address_sk);', 'catalog_sales(cs_bill_customer_sk) references customer(c_customer_sk);']
3. The original query must employ 2 joins.
4. The original query must employ the following aggregate functions: ['avg'].
5. The original query must employ the following operators in its WHERE clause: ['OR', 'IN', 'AND'].
6. The original query must select a column that casts a ['string as an integer'].
7. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.

Certainly! Here’s a new original query and its rewritten variant that adheres to the provided rewrite rule, along with the specified criteria:

**Original Query:**
```sql
SELECT 
    CAST(AVG(CASE WHEN t.t_month IN (1, 2) THEN cs_sales_price END) AS INTEGER) AS avg_sales_first_quarter,
    CAST(AVG(CASE WHEN t.t_month IN (3, 4) THEN cs_sales_price END) AS INTEGER) AS avg_sales_second_quarter
FROM 
    catalog_sales cs
JOIN 
    time_dim t ON cs.cs_sold_time_sk = t.t_time_sk
JOIN 
    customer_address ca ON cs.cs_ship_addr_sk = ca.ca_address_sk
WHERE 
    ca.ca_country IN ('USA', 'Canada')
OR 
    cs.cs_bill_customer_sk IS NOT NULL
AND 
    t.t_year = 2023;
```

**Rewritten Query:**
```sql
SELECT 
    CAST(
        AVG(CASE WHEN t.t_month IN (1, 2) THEN cs.cs_sales_price END) 
        AS INTEGER
    ) AS avg_sales_first_quarter,
    CAST(
        AVG(CASE WHEN t.t_month IN (3, 4) THEN cs.cs_sales_price END) 
        AS INTEGER
    ) AS avg_sales_second_quarter
FROM 
    catalog_sales cs
JOIN 
    time_dim t ON cs.cs_sold_time_sk = t.t_time_sk
JOIN 
    customer_address ca ON cs.cs_ship_addr_sk = ca.ca_address_sk
WHERE 
    ca.ca_country IN ('USA', 'Canada')
    OR cs.cs_bill_customer_sk IS NOT NULL
    AND t.t_year = 2023;
```

**Explanation:**
- The original query uses multiple conditional aggregates, employing the `AVG` function with different conditions to calculate average sales prices for specific months.
- In the rewritten query, a single scan of the `catalog_sales` table is performed, using `CASE` statements to calculate averages based on the conditions tied to the months (first and second quarters).
- All necessary filters from the original query are preserved and applied in the `WHERE` clause of the rewritten query. 
- The clause for casting sales prices to integers is maintained to ensure output format consistency.

You are a database expert and SQL optimizer. You will be given a SQL rewrite rule, an original query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence by following the given rewrite rule. Your task is to create a new pair of original and rewritten queries that adhere to the provided rewrite rule.

[REWRITE RULE]```If a query produces a single row output using multiple subqueries that each reference the same base table, rewrite the query to scan the base table only once. Use CASE statements within each subquery to preserve equivalence, and move necessary WHERE clause filters from the subqueries into the main query.```

[ORIGINAL QUERY]```select case when (select count(*) from store_sales where ss_quantity between 1 and 20) > 1071 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 1 and 20) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 1 and 20) end bucket1,case when (select count(*) from store_sales where ss_quantity between 21 and 40) > 39161 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 21 and 40) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 21 and 40) end bucket2,case when (select count(*) from store_sales where ss_quantity between 41 and 60) > 29434 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 41 and 60) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 41 and 60) end bucket3,case when (select count(*) from store_sales where ss_quantity between 61 and 80) > 6568 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 61 and 80) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 61 and 80) end bucket4,case when (select count(*) from store_sales where ss_quantity between 81 and 100) > 21216 then (select avg(ss_ext_tax) from store_sales where ss_quantity between 81 and 100) else (select avg(ss_net_paid_inc_tax) from store_sales where ss_quantity between 81 and 100) end bucket5 from reason where r_reason_sk = 1 ;```

[REWRITTEN QUERY]```select case when count(case when ss_quantity between 1 and 20 then 1 end) > 1071 then avg(case when ss_quantity between 1 and 20 then ss_ext_tax end) else avg(case when ss_quantity between 1 and 20 then ss_net_paid_inc_tax end) end as bucket1, case when count(case when ss_quantity between 21 and 40 then 1 end) > 39161 then avg(case when ss_quantity between 21 and 40 then ss_ext_tax end) else avg(case when ss_quantity between 21 and 40 then ss_net_paid_inc_tax end) end as bucket2, case when count(case when ss_quantity between 41 and 60 then 1 end) > 29434 then avg(case when ss_quantity between 41 and 60 then ss_ext_tax end) else avg(case when ss_quantity between 41 and 60 then ss_net_paid_inc_tax end) end as bucket3, case when count(case when ss_quantity between 61 and 80 then 1 end) > 6568 then avg(case when ss_quantity between 61 and 80 then ss_ext_tax end) else avg(case when ss_quantity between 61 and 80 then ss_net_paid_inc_tax end) end as bucket4, case when count(case when ss_quantity between 81 and 100 then 1 end) > 21216 then avg(case when ss_quantity between 81 and 100 then ss_ext_tax end) else avg(case when ss_quantity between 81 and 100 then ss_net_paid_inc_tax end) end as bucket5 from store_sales where exists (select 1 from reason where r_reason_sk = 1);```

[EXPLANATION] The rewritten query scans the employees table only once and uses CASE statements to conditionally calculate the average salary for each department. For efficiency there is only a single condition within each CASE statement in the rewritten query.

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation adheres to the provided SQL rewrite rule.Keep the following points in mind while creating the new query pair:
1. The original query must make use of the following fact tables: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_date_sk) references date_dim(d_date_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);']
3. The original query must employ 0 joins.
4. The original query must employ the following operators in its WHERE clause: ['OR'].
5. The original query must select a column that casts a ['string as an integer'].
6. The rewritten query must be equivalent to the original query, and must follow the given rewrite rule. Enclose the original and rewritten queries within ``` and ```.

Here is a new pair of original and rewritten queries that adheres to the provided rewrite rule and fulfills the specified conditions:

[ORIGINAL QUERY]
```sql
SELECT 
    CASE 
        WHEN (SELECT COUNT(*) FROM inventory WHERE inv_quantity_on_hand > 1000 OR inv_quantity_on_hand < 100) > 500 THEN 
            (SELECT AVG(CAST(inv_quantity_on_hand AS INT)) FROM inventory WHERE inv_quantity_on_hand > 1000 OR inv_quantity_on_hand < 100)
        ELSE 
            (SELECT AVG(CAST(inv_retail_price AS INT)) FROM inventory WHERE inv_quantity_on_hand > 1000 OR inv_quantity_on_hand < 100)
    END AS inventory_bucket
FROM 
    inventory 
WHERE 
    inv_date_sk = 1;
```

[REWRITTEN QUERY]
```sql
SELECT 
    CASE 
        WHEN COUNT(CASE WHEN inv_quantity_on_hand > 1000 OR inv_quantity_on_hand < 100 THEN 1 END) > 500 THEN 
            AVG(CASE WHEN inv_quantity_on_hand > 1000 OR inv_quantity_on_hand < 100 THEN CAST(inv_quantity_on_hand AS INT) END)
        ELSE 
            AVG(CASE WHEN inv_quantity_on_hand > 1000 OR inv_quantity_on_hand < 100 THEN CAST(inv_retail_price AS INT) END)
    END AS inventory_bucket
FROM 
    inventory 
WHERE 
    inv_date_sk = 1;
```

### Explanation:
- **Original Query**: It uses multiple subqueries to assess counts and averages based on conditions where `inv_quantity_on_hand` satisfies certain thresholds. The query casts `inv_quantity_on_hand` and `inv_retail_price` as integers and includes an `OR` condition in the WHERE clause.
  
- **Rewritten Query**: The rewritten query combines the repeated scans of the `inventory` table into a single scan by leveraging `CASE` statements within aggregate functions. It uses one aggregate count and two averages but remains functionally equivalent, complying with the given rewrite rule. The inclusion of the `WHERE inv_date_sk = 1` condition ensures that the data scope remains the same.

FSMBase.h

#pragma once

#include<iostream>
#include<string>
#include<vector>
#include "InvokeFunction.h"
#include "MethodHolder.h"


class FSMBase {
public:
	std::string StateName;
	std::string EventName;
	std::vector<FSMBase*> subitem;
	FSMBase* parent;

	FSMBase();
	virtual void Add(FSMBase* b1);
	
	~FSMBase();
};


FSMBAse.cpp

#include<iostream>
#include<string>
#include<vector>
#include<rapidjson/document.h>
#include<rapidjson/filereadstream.h>
#include<fstream> 
#include "FSMBase.h"
#include "PrimitiveTool.h"
#include "Event.h"
#include "State.h"
#include "FSMBuilder.h"
//#include "InvokeFunctions.h"
#include "MethodHolder.h"
#include "InvokeFunction.h"

using namespace std;
using namespace rapidjson;



	FSMBase::FSMBase()
	{
		std::cout << "default constructor called" << std::endl;
	}


	void FSMBase::Add(FSMBase* b1)
	{
		subitem.push_back(b1);
		//b1->getdata();
	
	}

	FSMBase::~FSMBase()
	{
		std::cout << " destructor called" << std::endl;
	}


int main()
{

	Document doc;
	ifstream file("FSMImplementationJSON.json");
	if (!file.is_open()) {
		cerr << "Could not open file: FSMImplementationJSON.json" << endl;
		return 1;
	}

	string json((istreambuf_iterator<char>(file)),
		istreambuf_iterator<char>());

	doc.Parse(json.c_str());

	if (doc.HasParseError()) {
		cerr << "Error parsing JSON: "
			<< doc.GetParseError() << endl;
		return 1;
	}
	 
	PrimitiveTool* prTool1 = new PrimitiveTool();
	FSMBuilder::createStatesFromJson(prTool1, doc);
	std::cout <<" " << std::endl;

	prTool1->SetInitialState("StartToolState");

	//std::cout << "Initial Active State : " << (prTool1->GetActiveStatus() ? prTool1->GetActiveStatus()->StateName : "None") << std::endl;

	Event* event1 = new Event("CompleteEvent", "ChangeState", "WaitForAccept");	
	prTool1->InEvent(event1);

	//std::cout << "Active State after CompleteEvent: " << (prTool1->GetActiveStatus() ? prTool1->GetActiveStatus()->StateName : "None") << std::endl;

	Event* event2 = new Event("CompleteEvent", "ChangeState", "AcceptedState");
	prTool1->InEvent(event2);

	//InvokeFunction invokeFunc;
	//MethodHolder::GetInstance().RegisterMethod("EnterSVelPointEdit", [&invokeFunc]() {invokeFunc.EnterSVelPointEdit(); });
	//MethodHolder::GetInstance().RegisterMethod("EnterSVelPointEdit",InvokeFunction::&EnterSVelPointEdit());


	InvokeFunction invokeFunc;
	MethodHolder::GetInstance().RegisterMethod("EnterSVelPointEdit", [&invokeFunc]() {invokeFunc.EnterSVelPointEdit(); });

	Event* event3 = new Event("ClickStartPoint", "InvokeMethod", "EnterSVelPointEdit");
	prTool1->InEvent(event3);

	


	Event* event5 = new Event("ClickEndPoint", "InvokeMethod", "EnterEVelPointEdit");
	prTool1->InEvent(event5);

	

	std::cout << "Active State after event4: " << (prTool1->GetActiveStatus() ? prTool1->GetActiveStatus()->StateName : "None") << std::endl;

	delete event1;
	delete event2;
	delete event3;
	delete prTool1;

	
	
	return 0;
}

FSMBuilder.h

#pragma once
#include<rapidjson/document.h>
#include "FSMBase.h"
#include "PrimitiveTool.h"
#include "Event.h"
#include "State.h"
#include<string>



class FSMBuilder
{
public:
	static void createStatesFromJson(PrimitiveTool* primitiveTool, rapidjson::Document& doc);
};

PrimitiveTool.h

#pragma once
#include "FSMBase.h"
#include "State.h"
#include <unordered_map>

class State;
class Event;

class PrimitiveTool :
    public FSMBase
{
private:
   

    State* currentState = nullptr;
public:

    void Add(FSMBase* b1);
    void SetInitialState(const std::string& stateName);
    void InEvent(Event* event);
    State* GetActiveStatus();
    State* Search(const std::string& name);
    void ChangeState(const std::string& newStateName);

};

PrimitiveTool.cpp

#include "PrimitiveTool.h"

void PrimitiveTool::Add(FSMBase* b1)
{

	subitem.push_back(b1);
	if (State* state = dynamic_cast<State*>(b1)) {
		//state->parent = this;
		currentState = state;
	}
	
}

void PrimitiveTool::SetInitialState(const std::string& stateName)
{
	State* initialState = Search(stateName);
	if (initialState) {
		currentState = initialState;
		//std::cout << "Initial state set to: " << currentState->StateName << std::endl;
	}
	else {
		std::cout << "State not found: " << stateName << std::endl;
	}
}

void PrimitiveTool::InEvent(Event* event)
{
	if (!currentState)
		return;
	State* state = Search(currentState->StateName);
	if (state) {
		//std::cout << " searched state is : " <<StateName<< std::endl;
		state->InEvent(event);
		
	}
}

State* PrimitiveTool::GetActiveStatus()
{
	return currentState;
}

State* PrimitiveTool::Search(const std::string& name)
{
	for (FSMBase* item : subitem) {
		State* state = dynamic_cast<State*>(item);
		if (state && state->StateName == name) {
			std::cout << "Found STATE :" << name << std::endl;
			return state;
		}
	}
	return nullptr;
}

void PrimitiveTool::ChangeState(const std::string& newStateName)
{
	State* newState = Search(newStateName);
	if (newState) {
		currentState = newState;
		std::cout << "Changed to state: " << currentState->StateName << std::endl;
	}
	else {
		std::cout << "not found state: " << newStateName << std::endl;
	}
}


State.h

#pragma once
#include "FSMBase.h"
#include "PrimitiveTool.h"

class FSMBase;
class Event;
class PrimitiveTool;


class State :
    public FSMBase
{
private:
    PrimitiveTool* parentTool;
    
public:
    State(PrimitiveTool* toolParent) : parentTool(toolParent) {
       
    }


    std::string EntreyMethodName;
    std::vector<Event*> eventitem;

    void Add(FSMBase* fsmbase1);
    void InEvent(Event* event);
    Event* Search(const std::string& name);
    void ChangeState(Event* event);
    

};

State.cpp
#include "State.h"
#include "Event.h"


void State::InEvent(Event* event)
{
	Event* matchedevent = Search(event->EventName);
	if (matchedevent) {
		matchedevent -> InEvent(event);
		//std::cout << " matched event is : " << matchedevent->EventName << "action type is : " << matchedevent->ActionType<<std::endl;
	}
	else {
		std::cout << "NO MATCHING EVENT FOUND" << std::endl;
	}
}

Event* State::Search(const std::string& name)
{
	for (Event* event : eventitem) {
		if (event->EventName == name) {
			std::cout << "Found event :" << name << std::endl;
			return event;
		}
	}
	return nullptr;
}

void State::ChangeState(Event* event)
{
	if (event->ActionType == "ChangeState") {
		if (parentTool) {
			parentTool->ChangeState(event->ActionParam);
		}
	}
}

void State::Add(FSMBase* fsmbase1)
{
	subitem.push_back(fsmbase1);
	if (Event* event = dynamic_cast<Event*>(fsmbase1)) {
		eventitem.push_back(event); 
		std::cout << "Adding event:" << event->EventName << " to state : " << StateName << std::endl;
	}	
}


Event.h

#pragma once
#include "FSMBase.h"
#include "PrimitiveTool.h"
#include "State.h"
#include <string>
#include <map>
#include "InvokeFunction.h"
#include "MethodHolder.h"



class State;
class PrimitiveTool;

class Event :
    public FSMBase
{
private:
    State* parentState;
  
public:
    Event(const std::string& eventName, const std::string& eventType, const std::string& eventTarget);
    Event(State* stateParent) : parentState(stateParent) {}

    std::string EventName;
    std::string ActionType;
    std::string ActionParam;
   
   
    std::string getActionType() const;
    std::string getName() const;
    void InEvent(Event* event);
   

       
};

Event.cpp

#include "Event.h"
#include "MethodHolder.h"
#include "InvokeFunction.h"
//#include "InvokeFunctions.h"




//typedef void(*FunctionPointer)();
//
//
//std::map<std::string,FunctionPointer>functionmap = {
//	{"EnterSVelPointEdit",&EnterSVelPointEdit},
//	{"EnterEVelPointEdit", &EnterEVelPointEdit},
//	{"EncoderInc",&EncoderInc}
//};

Event::Event(const std::string& eventName, const std::string& eventType, const std::string& eventTarget)
{
	EventName = eventName;
	ActionType = eventType;
	ActionParam = eventTarget;
}

std::string Event::getActionType() const
{
	return ActionType;
}

std::string Event::getName() const
{
	return EventName;
}


void Event::InEvent(Event* event)
{
	if (ActionType=="ChangeState") {	
		if (parentState) {	
			parentState->ChangeState(event);
		}

	}
	else if(ActionType=="InvokeMethod")
	{
		std::cout << "Invoke method called" << std::endl;
		MethodHolder::GetInstance().InvokeMethod(ActionParam);

		/*auto it = functionmap.find(event->ActionParam);
		if (it != functionmap.end()) {
			FunctionPointer func = it->second;
			func();
		}
		else {
			std::cout << "no action method set for InvokeMethod" << std::endl;
		}*/
	
	}
}




MethodHolder.h

#pragma once
#include <iostream>
#include <map>
#include <string>
#include <functional>
#include "InvokeFunction.h"
//#include "Event.h"
//#include "FSMBase.h"
//#include "State.h"


class MethodHolder
{

public:
    using MethodPointer = std::function<void()>;

    static MethodHolder& GetInstance() {
        static MethodHolder instance;
        return instance;
    }

    void InvokeMethod(const std::string& methodName);
    void RegisterMethod(const std::string& methodName, MethodPointer methodPtr);

private:
    MethodHolder() {}
    MethodHolder(const MethodHolder&) = delete;
    MethodHolder& operator=(const MethodHolder&) = delete; 

    std::map<std::string, MethodPointer> MethodMap;
};

MethodHolder.cpp

#include "MethodHolder.h"

void MethodHolder::InvokeMethod(const std::string& methodName)
{
    auto it = MethodMap.find(methodName);
    if (it != MethodMap.end()) {
        it->second();

    }
    else {
        std::cout << "Method not found: " << methodName << std::endl;
    }
}

void MethodHolder::RegisterMethod(const std::string& methodName, MethodPointer methodPtr)
{
    MethodMap[methodName] = methodPtr;
}


InvokeFunction.h

#pragma once
#include "Event.h"
#include "MethodHolder.h"
#include "FSMBase.h"


class InvokeFunction
{
public:
	void EnterSVelPointEdit();
	void EnterEVelPointEdit();
	void EncoderInc();


};

InvokeFunction.cpp


#include <iostream>
#include "InvokeFunction.h"




void InvokeFunction::EnterSVelPointEdit()
{
	std::cout << "EnterSVelPointEdit method invoked" << std::endl;
}
void InvokeFunction::EnterEVelPointEdit()
{
	std::cout << "EnterEVelPointEdit method invoked" << std::endl;
}
void InvokeFunction::EncoderInc()
{
	std::cout << "EncoderInc method called" << std::endl;
}

I am getting below error

Severity	Code	Description	Project	File	Line	Suppression State	Details
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\Event.h	16		
Warning	C26495	Variable 'Event::parentState' is uninitialized. Always initialize a member variable (type.6).	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\Event.cpp	18		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\State.h	11		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.h	10		
Error	C2039	'StateName': is not a member of 'State'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\FSMBase.cpp	96		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\State.h	11		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.h	10		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\Event.h	16		
Error	C2039	'StateName': is not a member of 'State'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\FSMBuilder.cpp	18		
Error	C2039	'StateName': is not a member of 'State'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\FSMBuilder.cpp	20		
Error	C2664	'void State::Add(FSMBase *)': cannot convert argument 1 from 'Event *' to 'FSMBase *'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\FSMBuilder.cpp	32		
Error	C2664	'void State::Add(FSMBase *)': cannot convert argument 1 from 'Event *' to 'FSMBase *'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\FSMBuilder.cpp	49		
Error	C2664	'void PrimitiveTool::Add(FSMBase *)': cannot convert argument 1 from 'State *' to 'FSMBase *'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\FSMBuilder.cpp	54		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\State.h	11		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\Event.h	16		
Error	C2039	'StateName': is not a member of 'State'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.cpp	30		
Error	C2039	'StateName': is not a member of 'State'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.cpp	47		
Error	C2039	'StateName': is not a member of 'State'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.cpp	60		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.h	10		
Error	C2061	syntax error: identifier 'FSMBase'	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\PrimitiveTool.h	18		
Error	C2504	'FSMBase': base class undefined	FsmImplementation	C:\Users\1038586\Downloads\FsmImplementation11142024\FsmImplementation\FsmImplementation\Event.h	16		

The errors you are encountering relate mostly to the issue of circular dependencies and incomplete type definitions in your C++ code. Let's break down what needs to be corrected.

## Key Issues with the Code
1. **Circular Dependency**: The classes `State`, `Event`, and `PrimitiveTool` directly include each other in their headers or are dependent on each other. This leads to problems where the compiler does not know the size and layout of a base class (`FSMBase`) while defining derived classes.
  
2. **Base Class `FSMBase` Not Recognized**: The errors about `FSMBase` being undefined suggest that at the point where it's referenced in derived classes (`State`, `Event`, etc.), it hasn't been defined yet.

3. **Uninitialized Members**: The compiler warns you about member variables being uninitialized, which can lead to runtime errors if those members are accessed before being properly set.

### Suggested Solution
You can resolve these issues by using **forward declarations** and minimizing unnecessary header inclusions. A forward declaration allows you to declare that a class exists without defining its structure, thus solving circular dependencies.

### Adjustments to Classes
1. **Remove Inclusions in Headers**: Instead of including another header, you can declare the class ahead of time like so:
   ```cpp
   class State;
   class Event;
   class PrimitiveTool;
   ```

2. **Example** adjustments for `Event.h` and `State.h`:
   ```cpp
   // Event.h
   #pragma once
   #include <string>
   #include <map>
   #include "FSMBase.h"  // Make sure this is included only if FSMBase is defined

   class State;  // Forward declaration of State class

   class Event : public FSMBase {
       private:
           State* parentState; // Ensure this is initialized in constructor

       public:
           Event(const std::string &eventName, const std::string &eventType, const std::string &eventTarget);
           // Other members...

   };
   ```

   ```cpp
   // State.h
   #pragma once
   #include "FSMBase.h"  // Make sure this is included only if FSMBase is defined

   class PrimitiveTool;  // Forward declaration of PrimitiveTool class

   class State : public FSMBase {
       private:
           PrimitiveTool* parentTool;

       public:
           State(PrimitiveTool* toolParent);
           // Other members...
   };
   ```

3. **ParentPointer Initialization**: Ensure that your pointer members in the constructor of each class are properly initialized:
   ```cpp
   Event::Event(const std::string& eventName, const std::string& eventType, const std::string& eventTarget)
       : parentState(nullptr), // Initialize parentState here
         EventName(eventName),
         ActionType(eventType),
         ActionParam(eventTarget) {}
   ```

4. **Ensure FSMBase is Defined Before Use**: Make sure that anything that uses `FSMBase` does so **after** its definition in the inclusion order of your headers.

### Example Restructuring of Header Files
Here is how one might go about restructuring a few key files.

**FSMBase.h**
```cpp
#pragma once
#include <iostream>
#include <string>
#include <vector>

class FSMBase {
public:
    std::string StateName;
    std::string EventName;
    std::vector<FSMBase*> subitem;
    FSMBase* parent;

    FSMBase();
    virtual void Add(FSMBase* b1);
    virtual ~FSMBase();
};
```

**State.h**
```cpp
#pragma once
#include "FSMBase.h" // Ensure this is correct
#include <string>
#include <vector>

class PrimitiveTool; // Forward declaration

class State : public FSMBase {
    // Member definitions...
};
```

**Event.h**
```cpp
#pragma once
#include "FSMBase.h" // Ensure this is correct
#include <string>
#include <vector>

class State; // Forward declaration

class Event : public FSMBase {
    // Member definitions...
};
```

### Conclusion
By implementing forward declarations and ensuring the proper order of declaration/definition, your program should compile without these errors. Make sure to also review memory management practices as your program uses dynamic memory allocation. Properly liberate any dynamically allocated memory once it's no longer needed to prevent memory leaks.

Comment réduire cette description (faire court) "Songs that are instrumentals or songs with wordless vocals!!!" ?

"Instrumentaux ou chants sans paroles !"

En anglais

"Instrumentals or wordless vocals!"

Je peux mettre "Songs" devant ?

Yes, you can add "Songs" in front. It would be: "Songs: instrumentals or wordless vocals!"

Remarque, je ne comprends pas pourquoi le groupe de musique auquel je suis inscript propose "des chansons" (songs) et pas musique instrumentale. ça existe des chansons instrumentales ?

Le terme "chansons" est souvent utilisé pour désigner n'importe quelle pièce musicale, qu'elle contienne des paroles ou non. En réalité, une "chanson" est généralement perçue comme une composition musicale avec des paroles, mais ça ne signifie pas que des morceaux instrumentaux, qui sont aussi des compositions musicales, ne peuvent pas être qualifiés de chansons. 

Dans le contexte où le groupe utilise "chansons", il pourrait vouloir inclure à la fois des morceaux avec des paroles et des instrumentaux sous le terme générique. Cependant, pour plus de clarté, il serait préférable de préciser que tu recherches spécifiquement des instrumentaux ou des morceaux sans paroles. 

Dans l’ensemble, il est courant que des personnes se réfèrent à des pièces instrumentales en tant que "chansons" dans un sens large, mais ça peut prêter à confusion.