import logging
import subprocess
import sys
from collections import Counter, defaultdict
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Container, DefaultDict, Dict, List, Set, Union

import httpx
import yaml
from github import Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings

github_graphql_url = "https://api.github.com/graphql"

# | FLOAT         | java.math.BigDecimal | decimal?      |
# | DOUBLE        | java.math.BigDecimal | decimal?      |
# | DATE          | java.util.Date       | DateTime?     |
# | TIME          | java.sql.Time        | DateTime?     |
# | TIMESTAMP     | java.sql.Timestamp   | DateTime?     |
# | BIT           | java.lang.Boolean    | bool?         |
# | BOOLEAN       | java.lang.Boolean    | bool?         |

                        "start_datetime": {
                            "title": "Start Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",

                        "start_datetime": {
                            "title": "Start Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",

                        "start_datetime": {
                            "title": "Start Datetime",
                            "type": "string",
                            "format": "date-time",
                        },
                        "end_datetime": {
                            "title": "End Datetime",
                            "type": "string",
                            "format": "date-time",

Sie können den `jsonable_encoder` verwenden, um die empfangenen Daten in etwas zu konvertieren, das als JSON gespeichert werden kann (in z. B. einer NoSQL-Datenbank). Zum Beispiel, um ein `datetime` in einen `str` zu konvertieren.

//// tab | Python 3.10+

```Python hl_lines="28-33"
{!> ../../docs_src/body_updates/tutorial001_py310.py!}
```

////

//// tab | Python 3.9+

ℹ 🏬 👆 💪 ⚙️ <a href="https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">🇺🇸🔍 `PUT`</a> 🛠️.

👆 💪 ⚙️ `jsonable_encoder` 🗜 🔢 💽 📊 👈 💪 🏪 🎻 (✅ ⏮️ ☁ 💽). 🖼, 🏭 `datetime` `str`.

//// tab | 🐍 3️⃣.6️⃣ &amp; 🔛

```Python hl_lines="30-35"
{!> ../../docs_src/body_updates/tutorial001.py!}
```

////

//// tab | 🐍 3️⃣.9️⃣ &amp; 🔛

```Python hl_lines="30-35"

## 用 `PUT` 更新数据

更新数据请用 <a href="https://developer.mozilla.org/zh-CN/docs/Web/HTTP/Methods/PUT" class="external-link" target="_blank">HTTP `PUT`</a> 操作。

把输入数据转换为以 JSON 格式存储的数据（比如，使用 NoSQL 数据库时），可以使用 `jsonable_encoder`。例如，把 `datetime` 转换为 `str`。

```Python hl_lines="30-35"
{!../../docs_src/body_updates/tutorial001.py!}
```

`PUT` 用于接收替换现有数据的数据。

### 关于更新数据的警告

用 `PUT` 把数据项 `bar` 更新为以下内容时：

```Python
{
    "name": "Barz",

Por exemplo, você não pode colocar um modelo do Pydantic em uma `JSONResponse` sem antes convertê-lo em um `dict` com todos os tipos de dados (como `datetime`, `UUID`, etc) convertidos para tipos compatíveis com JSON.

Para esses casos, você pode usar o `jsonable_encoder` para converter seus dados antes de repassá-los para a resposta:

```Python hl_lines="6-7  21-22"

  """Creates a JUnit-based XML file, with each invocation as a testcase."""
  os.makedirs(os.path.dirname(output_path), exist_ok=True)
  failure_count = 0
  error_count = 0

  date_time = datetime.datetime
  attrib = {'name': 'Bazel Invocations', 'time': '0.0',
            'timestamp': date_time.isoformat(date_time.utcnow())}
  testsuites = ElemTree.Element('testsuites')