Respan Dataset Explorer

<?xml version="1.0" encoding="UTF-8"?>
<vvod_ostatky version="3">
    <trade_participant_inn>7777777777</trade_participant_inn>
    <products_list>
        <product>
            <ki>010461111111111121LLLLLLLLLLLLL</ki>
        </product>
    </products_list>
</vvod_ostatky>

To correctly build this XML with `xmlschema.encode()`, your Python dictionary should follow this structure (assuming your XSD expects `<products_list>` to have one or more `<product>` elements):

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': [
            {
                'ki': '010461111111111121LLLLLLLLLLLLL'
            }
        ]
    }
}
```

Notice:

- `products_list` is a dict with a key `'product'`
- `'product'` is a list of dicts (even if only one product)

---

If you have multiple products:

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': [
            {'ki': 'code1'},
            {'ki': 'code2'},
            # and so on
        ]
    }
}
```

---

### Encoding example:

```python
import xmlschema

schema = xmlschema.XMLSchema('vvod_ostatky.xsd')

xml_bytes = schema.encode(data, path='vvod_ostatky')
print(xml_bytes.decode('utf-8'))
```

This will produce the desired XML structure you showed.

---

If your `df` has full codes in `full_code` column, build like this:

```python
products = [{'ki': i.full_code} for i in df.itertuples()]

data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': products
    }
}
```

---

Let me know if you want help generating or validating the XML!

products_list = many product?

Yes, exactly!

If you have **multiple products**, your `products_list` element should contain many `<product>` elements, and in your Python data dictionary that corresponds to:

```python
'products_list': {
    'product': [
        { ... first product fields ... },
        { ... second product fields ... },
        # more product dicts...
    ]
}
```

---

### Example with two products:

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': [
            {'ki': '010461111111111121LLLLLLLLLLLLL'},
            {'ki': '020462222222222222MMMMMMMMMMMMM'}
        ]
    }
}
```

---

### If using Pandas DataFrame:

```python
products = [{'ki': row.full_code} for row in df.itertuples()]

data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': products
    }
}
```

Then pass `data` to `schema.encode(...)` to generate XML where `<products_list>` wraps multiple `<product>` elements.

---

**Summary:**  
- The key `'product'` inside `'products_list'` is a **list of product dicts**, even if it has just one element, this is the correct way to represent multiple `<product>` entries in XML.  
- `xmlschema` will then serialize each product in the list as a separate `<product>` element.

---

If you'd like, I can help with a full minimal example!

data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': products
}

In your snippet:

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': products
}
```

**It will not work correctly if `products` is a list of product dictionaries.**

---

### Why?

Because according to your schema, `products_list` is an element that contains multiple `<product>` elements.

But here, `products_list` is assigned directly to `products` (which is a list); this means your `products_list` is a list — **but the XML structure requires `products_list` to be an element wrapping many `<product>` sub-elements.**

---

### Correct structure:

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': products  # products is a list of dicts representing each product
    }
}
```

For example, if you have:

```python
products = [
    {'ki': '010461111111111121LLLLLLLLLLLLL'},
    {'ki': '020462222222222222MMMMMMMMMMMMM'}
]
```

Then your full data dict should be:

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': products
    }
}
```

---

### Summary:

- `products_list` is a **dict** with key `'product'` that holds a **list** of product dicts.
- This ensures `products_list` element in XML wraps multiple `<product>` elements each corresponding to items in your list.
- Assigning a list directly to `products_list` will make `xmlschema` unable to generate correct XML matching your schema.

---

**If you do:**

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': products  # products is a LIST
}
```

You get wrong XML or a schema validation error.

---

Let me know if you want me to help with a full example with your dataframe!

<?xml version="1.0" encoding="UTF-8"?>
<vvod_ostatky version="3">
    <trade_participant_inn>7777777777</trade_participant_inn>
    <products_list>
        <product>
            <ki>010461111111111121LLLLLLLLLLLLL</ki>
        </product>
        <product>
            <ki>01046111111167788LLLLLL</ki>
        </product>
    </products_list>
</vvod_ostatky>

To get this XML structure from Python using `xmlschema.encode()`, your Python dictionary should look like this:

```python
data = {
    '@version': 3,
    'trade_participant_inn': '7777777777',
    'products_list': {
        'product': [
            {'ki': '010461111111111121LLLLLLLLLLLLL'},
            {'ki': '01046111111167788LLLLLL'}
        ]
    }
}
```

---

### Explanation:

- The root element `vvod_ostatky` has an attribute `version="3"` — the dictionary key `'@version': 3` sets this.
- Inside it, the element `trade_participant_inn`.
- Then `products_list` element containing multiple `product` elements — represented as a dict with key `'product'` mapping to a **list** of product dicts.
- Each product dict just has a `'ki'` key and its string value.

---

### To encode it with `xmlschema`:

```python
import xmlschema

schema = xmlschema.XMLSchema('vvod_ostatky.xsd')

xml_bytes = schema.encode(data, path='vvod_ostatky')

print(xml_bytes.decode('utf-8'))
```

---

This produces exactly:

```xml
<?xml version='1.0' encoding='UTF-8'?>
<vvod_ostatky version="3">
    <trade_participant_inn>7777777777</trade_participant_inn>
    <products_list>
        <product>
            <ki>010461111111111121LLLLLLLLLLLLL</ki>
        </product>
        <product>
            <ki>01046111111167788LLLLLL</ki>
        </product>
    </products_list>
</vvod_ostatky>
```

---

If you want help to generate `products_list` dynamically from a Pandas DataFrame or handle other elements, just ask!

python,
testr.xml

<vvod_ostatky version="3">
    <trade_participant_inn>260100140453</trade_participant_inn>
    <products_list>
        <product>
            <ki>01gfdhhf</ki>
        </product>
        <product>
            <ki>01029fgfg\sg</ki>
        </product>
    </products_list>
</vvod_ostatky>


read testr.xml and do  like this <![CDATA[01029fgfg\sg]]> where "\"

To read the XML file named `testr.xml` and modify it so that the text inside the `<ki>` elements that contain a backslash (`\`) is wrapped inside a CDATA section (e.g., `<![CDATA[01029fgfg\sg]]>`), you can use Python's `xml.etree.ElementTree` along with some tricks.

Unfortunately, Python's standard `xml.etree.ElementTree` **does not support writing CDATA sections directly**. So to add CDATA, you typically use either:

- `lxml` (recommended for this task),
- or manually insert CDATA in serialized output.

---

## Solution using `lxml`

If you haven't installed `lxml` yet:

```bash
pip install lxml
```

---

## Example script:

```python
from lxml import etree

# Parse the XML file
tree = etree.parse('testr.xml')
root = tree.getroot()

# Iterate over all <ki> elements
for ki_elem in root.xpath('.//ki'):
    text = ki_elem.text
    if text and '\\' in text:  # check for backslash
        # Replace text by CDATA section
        ki_elem.text = etree.CDATA(text)

# Write back to a file or print
tree.write('testr_cdata.xml', encoding='UTF-8', xml_declaration=True, pretty_print=True)

# Or print as string
print(etree.tostring(root, encoding='unicode', pretty_print=True))
```

---

### What this does:

- Reads `testr.xml`.
- Finds all `<ki>` elements.
- For those `<ki>` whose text contains the backslash (`\`), wrap text in CDATA section.
- Saves the result to `testr_cdata.xml`.
- Prints the modified XML.

---

### Output snippet for one `<ki>` with backslash:

```xml
<ki><![CDATA[01029fgfg\sg]]></ki>
```

If the `<ki>` element text does **not** contain `\`, it stays as normal text.

---

If you want a version using only the standard library (without CDATA support), it would be more complex and less clean, so I recommend `lxml` for proper CDATA sections.

---

Let me know if you want me to help with that or other XML manipulations!

not working

If the `lxml` solution didn't work, let's troubleshoot and provide a minimal complete working example step-by-step to read the XML, wrap relevant `<ki>` texts containing backslash into CDATA, and write the result out.

---

### 1. Make sure `lxml` is installed and correctly imported

Run this first:

```bash
pip install lxml
```

---

### 2. Minimal working script example:

Suppose your file `testr.xml` has contents exactly like this:

```xml
<vvod_ostatky version="3">
    <trade_participant_inn>260100140453</trade_participant_inn>
    <products_list>
        <product>
            <ki>01gfdhhf</ki>
        </product>
        <product>
            <ki>01029fgfg\sg</ki>
        </product>
    </products_list>
</vvod_ostatky>
```

---

### 3. Python script `wrap_cdata.py`:

```python
from lxml import etree

def wrap_ki_cdata(input_file, output_file):
    # Parse XML with lxml
    tree = etree.parse(input_file)
    root = tree.getroot()

    # Find all <ki> elements anywhere in the tree
    for ki_elem in root.xpath('.//ki'):
        text = ki_elem.text
        if text and '\\' in text:
            # Wrap text in CDATA
            ki_elem.text = etree.CDATA(text)

    # Write back with pretty print and XML declaration
    tree.write(output_file,
               encoding='UTF-8',
               xml_declaration=True,
               pretty_print=True)

if __name__ == '__main__':
    wrap_ki_cdata('testr.xml', 'testr_cdata.xml')
    print("Done, output saved to testr_cdata.xml")
```

---

### 4. Run it:

```bash
python wrap_cdata.py
```

---

### 5. Check `testr_cdata.xml`:

You should see:

```xml
<?xml version='1.0' encoding='UTF-8'?>
<vvod_ostatky version="3">
  <trade_participant_inn>260100140453</trade_participant_inn>
  <products_list>
    <product>
      <ki>01gfdhhf</ki>
    </product>
    <product>
      <ki><![CDATA[01029fgfg\sg]]></ki>
    </product>
  </products_list>
</vvod_ostatky>
```

---

### Additional troubleshooting tips:

- Make sure `testr.xml` path is correct relative to your script.
- To debug, try printing inside loop:

  ```python
  print(f"Before: {ki_elem.text}")
  if '\\' in ki_elem.text:
      ki_elem.text = etree.CDATA(ki_elem.text)
      print(f"Wrapped CDATA: {ki_elem.text}")
  ```

- Confirm you are editing and reading the right files.

---

If it's still not working:

- Please share the exact error message or behavior.
- Share what "not working" means — e.g. file unchanged, no CDATA tags, error raised?

---

I’m here to help walk you through resolving this!

NOT WORKING

Understood: you want to modify `<ki>` elements containing backslashes to be wrapped in CDATA, but the previous `lxml` approach did not produce the expected result.

Let's address this carefully.

---

## Short summary of the problem with `lxml`:

- `lxml.etree.CDATA` **creates CDATA sections correctly**.
- The code previously provided **should work** in usual environments.
- If CDATA isn’t appearing on output, common reasons:
  - The original XML file is read or written incorrectly.
  - You are printing or viewing the XML in a way that does not show CDATA explicitly.
  - Another step modifying or serializing the file after changing the tree.
  - You may be misunderstanding whether the CDATA block is present or not because final XML looks visually similar.

---

# Let's do a **minimal standalone script that:**

- creates a sample XML with your data,
- updates the `<ki>` elements with backslash inside CDATA,
- and prints the result to console and saves it.

---

## Minimal working example — run and test this exactly:

```python
from lxml import etree

xml_content = '''<?xml version="1.0" encoding="UTF-8"?>
<vvod_ostatky version="3">
    <trade_participant_inn>260100140453</trade_participant_inn>
    <products_list>
        <product>
            <ki>01gfdhhf</ki>
        </product>
        <product>
            <ki>01029fgfg\\sg</ki>
        </product>
    </products_list>
</vvod_ostatky>
'''

# parse XML string
root = etree.fromstring(xml_content.encode('utf-8'))

# find all <ki> elements
for ki in root.xpath('.//ki'):
    if '\\' in ki.text:
        ki.text = etree.CDATA(ki.text)

# print pretty XML string
print(etree.tostring(root, pretty_print=True, encoding='unicode'))
```

### Expected output:

```xml
<vvod_ostatky version="3">
  <trade_participant_inn>260100140453</trade_participant_inn>
  <products_list>
    <product>
      <ki>01gfdhhf</ki>
    </product>
    <product>
      <ki><![CDATA[01029fgfg\sg]]></ki>
    </product>
  </products_list>
</vvod_ostatky>
```

---

## Explanation of key points:

- Notice doubled backslash `'\\'` in the string literal to escape the `\` character.
- We check if `'\\'` is in `ki.text` (a normal backslash in XML).
- We create a CDATA using `etree.CDATA`.
- `etree.tostring(..., encoding='unicode')` prints the XML string.
- `pretty_print=True` adds indentation and line breaks.

---

## How to make it work on your actual file:

```python
from lxml import etree

def wrap_ki_cdata(input_path, output_path):
    tree = etree.parse(input_path)
    root = tree.getroot()
    
    for ki in root.xpath('.//ki'):
        text = ki.text
        if text and '\\' in text:
            ki.text = etree.CDATA(text)
    
    tree.write(output_path, pretty_print=True, xml_declaration=True, encoding='UTF-8')

# Usage:
wrap_ki_cdata('testr.xml', 'testr_cdata.xml')
print("Done.")
```

---

## Final notes:

- Verify you are **reading and writing the files correctly**.
- Open the resulting file in a text editor—not some XML viewer that hides CDATA.
- If you print your XML with the standard library `xml.etree.ElementTree`, it will **not show CDATA sections** even if they exist because it doesn’t support CDATA serialization.
- `lxml` *does* preserve CDATA.

---

If this still fails, please:

- Print what you get after modification (`print` the XML string).
- Confirm what tool/viewer you use to look at the XML.
- Share your exact environment (OS, Python version, `lxml` version).

I'm here to help!

rokoko motion capture

Rokoko is a company that provides motion capture solutions, particularly focusing on accessible and user-friendly mocap technology for creators, animators, game developers, and filmmakers. Their flagship products include wearable motion capture suits and software that allow users to record, edit, and animate human movement efficiently.

### Key Features of Rokoko Motion Capture:

1. **Rokoko Smartsuit Pro**  
   - A wireless motion capture suit equipped with multiple inertial measurement units (IMUs).  
   - Captures full-body motion in real-time without the need for cameras or external sensors.  
   - Lightweight and comfortable for longer sessions.  
   - Ideal for capturing body movements such as walking, running, jumping, dancing, and more.

2. **Rokoko Studio Software**  
   - Companion app for capturing, visualizing, and cleaning up motion capture data.  
   - Supports real-time streaming to popular 3D software like Unity, Unreal Engine, Blender, Maya, and MotionBuilder.  
   - Allows editors to tweak and refine motion data, annotate footage, and export in various formats (FBX, BVH, etc.).

3. **Integration and Compatibility**  
   - Supports integration with game engines and animation platforms.  
   - Compatible with VR/AR workflows and virtual production pipelines.  
   - Can be combined with hand tracking or facial capture tools for full character animation.

4. **Affordability and Accessibility**  
   - Rokoko aims to democratize mo-cap technology by offering more affordable solutions compared to traditional optical systems which are cost-prohibitive and require complex setups.

5. **Additional Tools**  
   - Rokoko offers software modules like Rokoko Face Capture (facial motion capture via smartphone cameras), gloves (for hand tracking), and plugins to streamline the mocap workflow.

---

### Use Cases:
- Indie game developers creating realistic character animations.  
- Animators and VFX artists producing shorts or film content.  
- Virtual reality and augmented reality application developers.  
- Educational purposes for teaching animation and motion studies.

---

If you're interested in motion capture for a project or want to explore Rokoko's offerings, their website provides detailed product specs, demos, and pricing: [Rokoko.com](https://www.rokoko.com)

Let me know if you want info on setup, specific workflows, or comparisons with other mocap systems!

é gratuito?

O Rokoko não é totalmente gratuito, mas eles oferecem diferentes planos, incluindo uma versão gratuita com limitações.

### Plano gratuito do Rokoko Studio:
- A versão gratuita do software **Rokoko Studio** permite gravar e exportar dados de captura de movimento, mas com algumas restrições, por exemplo:
  - Limitado a um número de exportações mensais.  
  - Recursos avançados e opções de edição podem estar bloqueados.  
  - Pode ter limitações no número de dispositivos conectados simultaneamente.

### Hardware:
- O **Rokoko Smartsuit Pro** (a roupa de captura de movimento) e outros acessórios como luvas e sensores são produtos pagos, com preços que podem variar bastante, geralmente a partir de milhares de reais/dólares.

### Planos pagos:
- Eles também oferecem planos pagos que desbloqueiam recursos adicionais no software, suporte prioritário, integrações adicionais e maior capacidade de uso.

---

### Resumo:
- **Software:** existe uma versão gratuita com limitações para você experimentar.  
- **Hardware:** sempre pago. Não há uma opção gratuita para a roupa de captura.  

Se você quiser, posso ajudar a encontrar qual plano grátis atende às suas necessidades ou sugerir alternativas gratuitas para motion capture!

similares e gratuitos

Claro! Existem algumas alternativas gratuitas (ou com versões gratuitas) para captura de movimento que você pode testar, especialmente se estiver começando ou não quiser investir em hardware dedicado como o Rokoko Smartsuit Pro. Aqui estão algumas opções:

### 1. **Blender + Add-ons para Motion Capture**  
- **Descrição:** O Blender é um software de modelagem 3D e animação gratuito e open-source que pode ser usado para editar dados de captura de movimento.  
- **Motion Capture:** Sem hardware especial, você pode usar vídeos normais ou aplicações de captura baseadas em video (2D para 3D) através de add-ons ou plugins da comunidade, como o **Blender Mocap Tools**.  
- **Vantagens:** Completamente grátis, muitos tutoriais, poderoso para edição de animações.

### 2. **Kinect + Software de Capture Motion gratuito**  
- **Descrição:** O Microsoft Kinect (original ou Kinect para Xbox One) pode ser usado para captura de movimentos corporais. Ele não tem a precisão do Rokoko Smartsuit, mas funciona para muitos usos básicos.  
- **Software gratuito:**  
  - **NI Mate** (tem versão trial).  
  - **Kinect SDK** da Microsoft.  
  - **iPi Motion Capture (trial)**.  
  - **Brekel Kinect** (tem versão gratuita básica).  
- **Requisitos:** Você precisará de um Kinect e um PC compatível.

### 3. **OpenPose**  
- **Descrição:** OpenPose é uma biblioteca open-source da Carnegie Mellon University que detecta keypoints do corpo (esqueleto) a partir de vídeos 2D comuns. Não é hardware, roda em qualquer vídeo comum e é gratuito.  
- **Limite:** Não captura movimentos em 3D nativamente (a menos que você faça configurações mais avançadas e use múltiplas câmeras).  
- **Uso:** Muito usado para pesquisa, protótipos e mesmo para animar personagens com base em vídeo.

### 4. **DeepMotion Animate 3D**  
- **Descrição:** Serviço online que converte vídeo 2D em animação 3D para personagens. Oferece um plano gratuito com limitações mensais.  
- **Ideal para:** Rápida experimentação sem hardware especial.

### 5. **ManoMotion (para mãos e gestos)**  
- **Descrição:** SDK para captura da movimentação das mãos usando câmeras de smartphones comum. Possui uma versão gratuita para desenvolvimento.  
- **Indicado para:** Projetos que focam em captura e interação com as mãos.

---

### Resumo rápido

| Ferramenta       | Tipo                  | Custo              | Requer Hardware Especial? | Plataformas                      |
|------------------|-----------------------|--------------------|---------------------------|---------------------------------|
| Blender + Add-ons | Software               | Gratuito           | Não                       | Windows, Mac, Linux             |
| Kinect + SDK      | Sensor + Software      | Kinect pago        | Sim (sensor Kinect)       | Windows                        |
| OpenPose         | Software (visão computacional) | Gratuito           | Não                       | Windows, Linux                  |
| DeepMotion Animate 3D | Serviço online        | Versão gratuita + pagos | Não                       | Web                           |
| ManoMotion       | SDK para mãos          | Gratuito para dev   | Não                       | iOS, Android                   |

---

Se você quiser, posso ajudar a escolher a melhor opção para o seu tipo de projeto (jogo, animação, VR, etc.) ou explicar como começar a usar alguma dessas ferramentas!